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Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Feasibility Study --Project Full Breeze By the Wind Energy Projects in Action (WEPA) Full Breeze Project team  

E-Print Network [OSTI]

Feasibility Study -- Project Full Breeze By the Wind Energy Projects in Action (WEPA) Full Breeze Department of Facilities approached the wind energy sub-community in the spring of 2009 to assist in a study

2

The nonlinear dynamics of the sea breeze  

E-Print Network [OSTI]

of the requirements for the degree of MASTER OF SCIENCE Approved as to style and content by: _____________________________ _____________________________ John Nielsen-Gammon Craig C. Epifanio (Co-Chair of Committee... Sciences iii ABSTRACT The Nonlinear Dynamics of the Sea Breeze. (August 2004) Kevin Robert Walter, B.S., Thomas More College Co-Chairs of Advisory Committee: Dr. John Nielsen-Gammon Dr. Craig C. Epifanio...

Walter, Kevin Robert

2004-11-15T23:59:59.000Z

3

Sea Breeze characteristics during a high ozone event over Houston  

E-Print Network [OSTI]

representing the wind field in the lowest 4 km. Results show that changes in the large-scale wind pattern, as seen at 850 mb, can explain differences in the sea breeze circulation. Onshore flow leads to a faster moving sea breeze front whereas light opposing...

Naumann, Stephanie Alaine

2012-06-07T23:59:59.000Z

4

Inland Propagation of Sea Breeze under Opposing Offshore Wind  

Science Journals Connector (OSTI)

...?According to past experience, the nearly stagnant conditions caused by the presumed equilibrium between the Saronikos Gulf sea breeze and an opposing synoptic flow is identified as the principal mechanism lea...

D. N. Asimakopoulos; C. G. Helmis…

1999-06-01T23:59:59.000Z

5

New England Breeze Solar and Wind Installers | Open Energy Information  

Open Energy Info (EERE)

Breeze Solar and Wind Installers Breeze Solar and Wind Installers Jump to: navigation, search Logo: New England Breeze Solar and Wind Installers Name New England Breeze Solar and Wind Installers Place Hudson, Massachusetts Zip 01749 Sector Renewable energy, Services, Solar, Wind energy Product Solar Panel and Wind Turbine Installation Year founded 2006 Number of employees 1-10 Phone number 978-567-9463 Website http://www.NewEnglandBreeze.co Coordinates 42.3917598°, -71.5661769° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.3917598,"lon":-71.5661769,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

6

Blue Breezes I & II Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Blue Breezes I & II Wind Farm Blue Breezes I & II Wind Farm Jump to: navigation, search Name Blue Breezes I & II Wind Farm Facility Blue Breezes I & II Sector Wind energy Facility Type Community Wind Facility Status In Service Owner John Deere Wind Energy Developer Dan Moore/John Deere Wind Energy Energy Purchaser City of Blue Earth Location City of Blue Earth MN Coordinates 43.6352°, -94.0942° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.6352,"lon":-94.0942,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

7

Resource Assessment Overview and MIT Full Breeze Case Study  

E-Print Network [OSTI]

;Full Breeze Project Overview · Student-run project to assess the installation of a small wind turbine.85 for wind speed r = 0.96 to 0.97 for wind direction (wrapped) #12;Blue ­ Met Tower 1 Green ­ Met Tower 2 Tower 1 out performs Met Tower 2 under most prevailing wind directions · Winds often come from 270

8

Briny Breezes, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Briny Breezes, Florida: Energy Resources Briny Breezes, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 26.5084053°, -80.0508748° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":26.5084053,"lon":-80.0508748,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

9

MHK Projects/Breeze Point | Open Energy Information  

Open Energy Info (EERE)

Breeze Point Breeze Point < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":31.1029,"lon":-91.6161,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

10

Application for presidential permit OE Docket No. PP-299 Sea Breeze Pacific  

Broader source: Energy.gov (indexed) [DOE]

299 Sea Breeze 299 Sea Breeze Pacific Regional Transmission System Inc.: Federal Register Notice Volume 70, No. 33 - Feb. 18, 2005 Application for presidential permit OE Docket No. PP-299 Sea Breeze Pacific Regional Transmission System Inc.: Federal Register Notice Volume 70, No. 33 - Feb. 18, 2005 Application from Sea Breeze Pacific Regional Transmission System Inc to construct, operate, and maintain electric transmission facilities at the U.S-Canada border. - Federal Register Notice Application for presidential permit OE Docket No. PP-299 Sea Breeze Pacific Regional Transmission System Inc More Documents & Publications Application for Presidential Permit OE Docket No. PP-299 Sea Breeze Pacific Regional Transmission System, INC EIS-0183: DOE Notice of Availability of the Record of Decision

11

Spectral Evolution of Nearshore Wave Energy during a Sea-Breeze Cycle  

Science Journals Connector (OSTI)

From in situ measurements taken over several sea-breeze cycles off a beach in southwest (SW) Australia, the evolution of the one-dimensional spectrum of wave energy is observed to have a distinctive spectral shape. During the land-breeze phase of ...

Jim Gunson; Graham Symonds

2014-12-01T23:59:59.000Z

12

NESTED HIGH RESOLUTION SIMULATION AND LIDAR VALIDATION OF A LAND BREEZE CIRCULATION  

E-Print Network [OSTI]

NESTED HIGH RESOLUTION SIMULATION AND LIDAR VALIDATION OF A LAND BREEZE CIRCULATION by GIJS DE BOER local forcing. A wide range of scales is simulated using the nesting capability of the University

Eloranta, Edwin W.

13

Idealized WRF model sensitivity simulations of sea breeze types and their effects on offshore windfields: Supplementary material  

E-Print Network [OSTI]

and local winds had once again become orientated to favour development of backdoor sea breezes on the southIdealized WRF model sensitivity simulations of sea breeze types and their effects on offshore. Daytime temperatures were sufficiently high to trigger convection over land and the geostrophic wind

Meskhidze, Nicholas

14

A diagnosis of the sea breeze surge and its inland penetration over Texas  

E-Print Network [OSTI]

, it is of iamediate interest to the meteorologist. The influ- ence of th's phenomenon on the form tion of cloudiness, showers, and thunderstorms has been brought out by various aut'oors, viz. , Rainey (19ltB), i, eopold (19~:-9). Malkus et al. (1951), Wallington... edge of the circulation also is possible. In fact, Clarke (1961) has showed the possibility of existence of more than one cell in the sea-breeze circulation. Such pulsa- tory character of the sea breeze has been shown by Wallington (1960...

Bose, Banwari Lal

2012-06-07T23:59:59.000Z

15

Study of a Sea-Breeze Case through Momentum, Temperature, and Turbulence Budgets  

Science Journals Connector (OSTI)

A simulation with the Méso-NH model over the island of Mallorca, Spain, has been made in a case of synoptic high pressure (5 June 2010) that allowed the development of sea breezes (SB) in the three main basins of the island. The results compare ...

J. Cuxart; M. A. Jiménez; M. Telišman Prtenjak; B. Grisogono

2014-11-01T23:59:59.000Z

16

Observations and Numerical Simulations of Urban Heat Island and Sea Breeze Circulations over New York City  

E-Print Network [OSTI]

-level pollutant dispersion. When an urban area is located at the coast of a large body of water, complexitiesObservations and Numerical Simulations of Urban Heat Island and Sea Breeze Circulations over New examined during several synoptic scale flow regimes over New York City after the World Trade Center

Raman, Sethu

17

table5.1_02  

U.S. Energy Information Administration (EIA) Indexed Site

End Uses of Fuel Consumption, 2002; End Uses of Fuel Consumption, 2002; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Fuel Oil Coal Net Residual and Natural LPG and (excluding Coal RSE NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) Gas(d) NGL(e) Coke and Breeze) Other(f) Row Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) (billion cu ft) (million bbl) (million short tons) (trillion Btu) Factors Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES RSE Column Factors: 0.3 1 1 2.4 1.1 1.4 1 NF TOTAL FUEL CONSUMPTION 16,273 832,257 33 24 5,641 26 53 6,006 3.4 Indirect Uses-Boiler Fuel -- 3,540 20 6

18

A Nested Micro-Scale Simulation of a Lake Michigan Land-Breeze Front Gijs de Boer,Gregory J.Tripoli,Edwin W.Eloranta  

E-Print Network [OSTI]

A Nested Micro-Scale Simulation of a Lake Michigan Land-Breeze Front Gijs de Boer,Gregory J Positioning of the 6 Nested Grids Acknowledgements Introduction As part of the Lake Induced Convection of a more easily predictable large scale pattern. Compared to mesoscale simulations,which often nest down

Eloranta, Edwin W.

19

"Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)"," Gas(d)","NGL(e)","Coke and Breeze)"  

U.S. Energy Information Administration (EIA) Indexed Site

3 Relative Standard Errors for Table 5.3;" 3 Relative Standard Errors for Table 5.3;" " Unit: Percents." " "," " " "," ",," ","Distillate"," "," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" "NAICS"," ","for ","Residual","and","Natural","LPG and","(excluding Coal" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)"," Gas(d)","NGL(e)","Coke and Breeze)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"TOTAL FUEL CONSUMPTION",2,3,6,2,4,9

20

table2.4_02.xls  

U.S. Energy Information Administration (EIA) Indexed Site

4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2002; 4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2002; Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources; Unit: Establishment Counts. Any Combustible RSE NAICS Energy Residual Distillate Natural LPG and Coke Row Code(a) Subsector and Industry Source(b) Fuel Oil Fuel Oil(c) Gas(d) NGL(e) Coal and Breeze Other(f) Factors Total United States RSE Column Factors: 1.5 0.6 1.1 1 1.1 0.7 1 1.4 311 Food 406 W 152 185 0 0 4 83 9.6 311221 Wet Corn Milling W 0 W 0 0 0 0 W 0.8 31131 Sugar 6 0 W W 0 0 4 W 0.9 311421 Fruit and Vegetable Canning 14 W 6 0 0 0 0 9 5.6 312 Beverage and Tobacco Products 31 W 5 W 0 0 0 15 12.4 3121 Beverages Q W 5 0 0 0 0 12 31.9 3122 Tobacco W 0 0 W 0 0 0 W 0.8

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

table10.3_02.xls  

U.S. Energy Information Administration (EIA) Indexed Site

3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2002; 3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2002; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke RSE NAICS Total Not Electricity Distillate Residual and Row Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Fuel Oil Fuel Oil Coal LPG Breeze Other(f) Factors Total United States RSE Column Factors: 0.6 1.1 0.7 1.2 1.1 1.1 1.2 1.1 0.9 1.1 311 Food 12,018 2,210 10,674 532 1,170 413 75 862 3 25 9.9 311221 Wet Corn Milling 47 16 39 4 6 W W 6 0 W 1 31131 Sugar 62 23 51 W 4 13 4 0 W 0 1 311421 Fruit and Vegetable Canning 416 113 337 4 67 49 W 32 W W 5.5 312 Beverage and Tobacco Products

22

table4.3_02.xls  

U.S. Energy Information Administration (EIA) Indexed Site

Offsite-Produced Fuel Consumption, 2002; Offsite-Produced Fuel Consumption, 2002; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. RSE Economic Residual Distillate Natural LPG and Coke and Row Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Gas(d) NGL(e) Coal Breeze Other(f) Factors Total United States RSE Column Factors: 0.6 0.6 1.3 2.2 0.7 1.4 1.5 0.6 1 Value of Shipments and Receipts (million dollars) Under 20 1,276 437 15 50 598 W 47 W 97 14.5 20-49 1,258 417 28 22 590 W 112 W 72 6.1 50-99 1,463 401 17 W 731 7 185 W 97 4.9 100-249 2,041 571 43 17 968 8 253 7 175 4.6 250-499 1,962 475 54 W 826 W 326 W 255 5.6 500 and Over 3,971 618 38 W 2,077 37 259 W 607 1.5 Total 11,970

23

table5.2_02  

U.S. Energy Information Administration (EIA) Indexed Site

2 End Uses of Fuel Consumption, 2002; 2 End Uses of Fuel Consumption, 2002; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal RSE NAICS Net Residual and Natural LPG and (excluding Coal Row Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Gas(d) NGL(e) Coke and Breeze) Other(f) Factors Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES RSE Column Factors: 0.3 1 1 2.4 1.1 1.3 1 NF TOTAL FUEL CONSUMPTION 16,273 2,840 208 141 5,794 103 1,182 6,006 3.3 Indirect Uses-Boiler Fuel -- 12 127 25 2,162 8 776 -- 5.5 Conventional Boiler Use -- 9 76 25 1,306 8 255 -- 5.6 CHP and/or Cogeneration Process -- 4 51 10 857 * 521 -- 3.7 Direct Uses-Total Process

24

table10.5_02.xls  

U.S. Energy Information Administration (EIA) Indexed Site

5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002; 5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke RSE NAICS Total Not Electricity Natural Distillate and Row Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Gas Fuel Oil Coal LPG Breeze Other(f) Factors Total United States RSE Column Factors: 1.3 1 1.5 0.7 1 0.8 0.6 1.2 1.4 0.8 311 Food 274 183 108 0 119 72 W Q 0 15 15.2 311221 Wet Corn Milling 3 W W 0 0 W 0 0 0 0 0.9 31131 Sugar 18 9 9 0 9 0 W 0 0 0 1 311421 Fruit and Vegetable Canning 38 26 30 0 26 W 0 0 0 0 8.1 312 Beverage and Tobacco Products 35 17 Q 0 17 6 W 0 0 0 8

25

table10.13_02.xls  

U.S. Energy Information Administration (EIA) Indexed Site

3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2002; 3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2002; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke RSE NAICS Total Not Electricity Natural Distillate Residual and Row Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Gas Fuel Oil Fuel Oil Coal Breeze Other(f) Factors Total United States RSE Column Factors: 0.6 0.8 0.6 0.9 0.7 0.8 1 2.8 2.7 0.7 311 Food 3,159 793 2,492 570 533 147 225 22 20 21 21.9 311221 Wet Corn Milling 14 W W W W 0 0 0 0 W 1.4 31131 Sugar 31 W W W 0 0 0 W 0 W 1.1 311421 Fruit and Vegetable Canning 229 15 215 11 4 W W 0 0 0 5.3 312 Beverage and Tobacco Products

26

table3.3_02.xls  

U.S. Energy Information Administration (EIA) Indexed Site

Fuel Consumption, 2002; Fuel Consumption, 2002; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. RSE Economic Net Residual Distillate Natural LPG and Coke and Row Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Gas(d) NGL(e) Coal Breeze Other(f) Factors Total United States RSE Column Factors: 0.6 0.7 1.3 2.1 0.7 1.4 1.5 0.7 0.9 Value of Shipments and Receipts (million dollars) Under 20 1,312 436 15 50 598 W 47 W 132 13.9 20-49 1,465 407 28 22 590 W 112 W 289 6.9 50-99 1,598 394 17 W 731 7 185 W 237 4.5 100-249 2,385 561 43 17 972 8 253 7 525 4.2 250-499 2,598 458 57 W 826 W 326 W 906 5.4 500 and Over 6,914 584 47 21 2,077 55 259 530 3,342 1.5 Total 16,273 2,840

27

table4.2_02.xls  

U.S. Energy Information Administration (EIA) Indexed Site

Offsite-Produced Fuel Consumption, 2002; Offsite-Produced Fuel Consumption, 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. RSE NAICS Residual Distillate Natural LPG and Coke Row Code(a) Subsector and Industry Total Electricity(b) Fuel Oil Fuel Oil(c) Gas(d) NGL(e) Coal and Breeze Other(f) Factors Total United States RSE Column Factors: 0.8 0.8 1.1 1.6 0.9 1.8 0.7 0.7 1.2 311 Food 1,079 233 13 19 575 5 184 1 50 8 311221 Wet Corn Milling 217 24 * * 61 * 121 0 11 1.1 31131 Sugar 74 3 2 1 22 * 37 1 8 1 311421 Fruit and Vegetable Canning 47 7 1 1 36 Q 0 0 1 12.4 312 Beverage and Tobacco Products 104 27 2 2 46 1 17 0 9 4.3 3121 Beverages 84 22 1 2 42 1 8 0 9 5.9 3122 Tobacco 19 5 1 * 4 * 10 0 * 0.9 313 Textile Mills 206 87 4 2 74 2

28

table10.9_02.xls  

U.S. Energy Information Administration (EIA) Indexed Site

9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002; 9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke RSE NAICS Total Not Electricity Natural Residual and Row Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Gas Fuel Oil Coal LPG Breeze Other(f) Factors Total United States RSE Column Factors: 1 1.3 1 0.9 1.2 1 0.8 1.3 0.8 0.9 311 Food 2,418 789 1,899 129 447 176 W 280 0 40 12.4 311221 Wet Corn Milling 20 7 15 W 4 0 W W 0 W 1 31131 Sugar 40 W W W W 0 0 0 0 0 0.9 311421 Fruit and Vegetable Canning 123 6 117 0 5 0 0 0 0 W 6.9 312 Beverage and Tobacco Products 251 30 227

29

table4.1_02.xls  

U.S. Energy Information Administration (EIA) Indexed Site

1 Offsite-Produced Fuel Consumption, 2002; 1 Offsite-Produced Fuel Consumption, 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Physical Units or Btu. Coke Residual Distillate Natural LPG and Coal and Breeze RSE NAICS Total Electricity(b) Fuel Oil Fuel Oil(c) Gas(d) NGL(e) (million (million Other(f) Row Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) (billion cu ft) (million bbl) short tons) short tons) (trillion Btu) Factors Total United States RSE Column Factors: 0.8 0.8 1.1 1.6 0.9 1.8 0.7 0.7 1.2 311 Food 1,079 68,230 2 3 560 1 8 * 50 8 311221 Wet Corn Milling 217 7,098 * * 59 * 5 0 11 1.1 31131 Sugar 74 733 * * 22 * 2 * 8 1 311421 Fruit and Vegetable Canning 47 1,987 * * 35 * 0

30

Breeze Wind Power In China.  

E-Print Network [OSTI]

?? China is an energy production and consumption country, wind power is one of the greatest development potential energy.The authors use literature research methodology, case… (more)

wang, zhong tao

2012-01-01T23:59:59.000Z

31

"Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"  

U.S. Energy Information Administration (EIA) Indexed Site

3.4 Relative Standard Errors for Table 3.4;" 3.4 Relative Standard Errors for Table 3.4;" " Unit: Percents." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)" ,,"Total United States"

32

"Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"  

U.S. Energy Information Administration (EIA) Indexed Site

2.4 Relative Standard Errors for Table 2.4;" 2.4 Relative Standard Errors for Table 2.4;" " Unit: Percents." " "," "," "," "," "," "," "," "," "," ",," " " "," ","Any Combustible" "NAICS"," ","Energy","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",27.5,"X",42,39.5,62,"X",0,9.8

33

"Characteristic(a)","Total(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)"  

U.S. Energy Information Administration (EIA) Indexed Site

1.3 Relative Standard Errors for Table 1.3;" 1.3 Relative Standard Errors for Table 1.3;" " Unit: Percents." " "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","Shipments" "Economic",,"Net","Residual","Distillate",,"LPG and",,"Coke and"," ","of Energy Sources" "Characteristic(a)","Total(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)"

34

Time-resolved distributions of bulk parameters, diacids, ketoacids and ?-dicarbonyls and stable carbon and nitrogen isotope ratios of TC and TN in tropical Indian aerosols: Influence of land/sea breeze and secondary processes  

Science Journals Connector (OSTI)

Abstract To better understand the photochemical production and diurnal distributions of organic and inorganic aerosols in the tropical coastal Indian atmosphere, the aerosol (TSP) samples were collected every 3 h during 30–31 January, 14–15 February and 28–29 May 2007 from Chennai and studied for total carbon (TC) and nitrogen (TN) and their stable isotope ratios (?13CTC and ?15NTN), carbonaceous components, inorganic ions, diacids, ketoacids and ?-dicarbonyls. Time-resolved distributions of bulk parameters, inorganic ions, and diacids and related compounds, except for few species, did not show any clear diurnal trend but showed peaks at 6–9 h during all the study periods, except for the peak at 15–18 h on 28 May. SO42?, C2 ? C6 diacids, ketoacids and ?-dicarbonyls in February and on 29 May showed a diurnal trend. ?13CTC and ?15NTN stayed relatively constant during the study periods but showed 13C depletion (in January) and 15 N enrichment when TC and TN peaked. Based on these results together with air mass trajectories, we found that the diurnal distributions of Chennai aerosols are mainly influenced by land/sea breeze and the aged (photochemically processed) air masses, although in situ photochemical production and nighttime chemistry of secondary aerosol species, particularly C2–C4 diacids and SO42?, are significant. The characteristics of seasonal variations of carbonaceous components, and diacids and related compounds and comparisons of ?13CTC and ?15NTN of Chennai aerosols with the isotopic signatures of the point sources inferred that biofuel/biomass burning in South and Southeast Asia are the major sources of aerosols (TSP).

Chandra Mouli Pavuluri; Kimitaka Kawamura; T. Swaminathan

2015-01-01T23:59:59.000Z

35

"Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"  

U.S. Energy Information Administration (EIA) Indexed Site

4.4 Relative Standard Errors for Table 4.4;" 4.4 Relative Standard Errors for Table 4.4;" " Unit: Percents." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy",,"Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)" ,,"Total United States" , 311,"Food",0.4,0.4,19.4,9,2,6.9,5.4,0,10.3

36

Breeze Family Farm Orange County, NC  

E-Print Network [OSTI]

landowners a vehicle to protect and conserve natural resources in North Carolina. Gifts of land sustain our Carolina's ecological well-being may be held in perpetuity. Through Landscapes, the College will work funding through the creation of an endowment to support Coastal Ecology Extension Agents who will link

Langerhans, Brian

37

"Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)"  

U.S. Energy Information Administration (EIA) Indexed Site

1.4 Relative Standard Errors for Table 1.4;" 1.4 Relative Standard Errors for Table 1.4;" " Unit: Percents." ,,"Any",,,,,,,,,"Shipments" "NAICS",,"Energy","Net","Residual","Distillate",,"LPG and",,"Coke and",,"of Energy Sources" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)" ,,"Total United States" 311,"Food",0.4,0.4,19.4,8.9,2,6.9,5.4,0,10.1,9.1 3112," Grain and Oilseed Milling",0,0,21.1,14.7,8.4,13.3,7.9,"X",17.9,9.1

38

Table 5.2 End Uses of Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

2 End Uses of Fuel Consumption, 2010; 2 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 14,228 2,437 79 130 5,211 69 868 5,435 Indirect Uses-Boiler Fuel -- 27 46 19 2,134 10 572 -- Conventional Boiler Use -- 27 20 4 733 3 72 -- CHP and/or Cogeneration Process -- 0 26 15 1,401 7 500 -- Direct Uses-Total Process -- 1,912 26 54 2,623 29 289 -- Process Heating -- 297 25 14 2,362 24 280

39

Table 5.1 End Uses of Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

5.1 End Uses of Fuel Consumption, 2010; 5.1 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 14,228 714,166 13 22 5,064 18 39 5,435 Indirect Uses-Boiler Fuel -- 7,788 7 3 2,074 3 26 -- Conventional Boiler Use -- 7,788 3 1 712 1 3 -- CHP and/or Cogeneration Process

40

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

U.S. Energy Information Administration (EIA) Indexed Site

2 End Uses of Fuel Consumption, 2006; 2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel -- 41 133 23 2,119 8 547 -- Conventional Boiler Use -- 41 71 17 1,281 8 129 -- CHP and/or Cogeneration Process -- -- 62 6 838 1 417 -- Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

U.S. Energy Information Administration (EIA) Indexed Site

1 End Uses of Fuel Consumption, 2006; 1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use -- 12,109 11 3 1,245 2 6 -- CHP and/or Cogeneration Process

42

Table 3.1 Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

1 Fuel Consumption, 2010; 1 Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Physical Units or Btu. Coke Net Residual Distillate Natural Gas(d) LPG and Coal and Breeze NAICS Total Electricity(b) Fuel Oil Fuel Oil(c) (billion NGL(e) (million (million Other(f) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States 311 Food 1,158 75,407 2 4 563 1 8 * 99 3112 Grain and Oilseed Milling 350 16,479 * * 118 * 6 0 45 311221 Wet Corn Milling 214 7,467 * * 51 * 5 0 25 31131 Sugar Manufacturing 107 1,218 * * 15 * 2 * 36 3114 Fruit and Vegetable Preserving and Specialty Foods 143 9,203

43

Originally Released: July 2009  

U.S. Energy Information Administration (EIA) Indexed Site

4.1 Offsite-Produced Fuel Consumption, 2006; 4.1 Offsite-Produced Fuel Consumption, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Physical Units or Btu. Coke Residual Distillate Natural Gas(d) LPG and Coal and Breeze NAICS Total Electricity(b) Fuel Oil Fuel Oil(c) (billion NGL(e) (million (million Other(f) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States 311 Food 1,124 73,551 4 3 618 1 7 * 45 3112 Grain and Oilseed Milling 316 15,536 * * 115 * 5 0 28 311221 Wet Corn Milling 179 6,801 * * 51 * 4 0 8 31131 Sugar Manufacturing 67 974 1 * 17 * 1 * 4 3114 Fruit and Vegetable Preserving and Specialty Food 168 9,721

44

Table 4.1 Offsite-Produced Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

1 Offsite-Produced Fuel Consumption, 2010; 1 Offsite-Produced Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Physical Units or Btu. Coke Residual Distillate Natural Gas(d) LPG and Coal and Breeze NAICS Total Electricity(b) Fuel Oil Fuel Oil(c) (billion NGL(e) (million (million Other(f) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States 311 Food 1,113 75,673 2 4 563 1 8 * 54 3112 Grain and Oilseed Milling 346 16,620 * * 118 * 6 0 41 311221 Wet Corn Milling 214 7,481 * * 51 * 5 0 25 31131 Sugar Manufacturing 72 1,264 * * 15 * 2 * * 3114 Fruit and Vegetable Preserving and Specialty Foods 142 9,258 * Q 97

45

Originally Released: July 2009  

U.S. Energy Information Administration (EIA) Indexed Site

1 Fuel Consumption, 2006; 1 Fuel Consumption, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources Unit: Physical Units or Btu Coke Net Residual Distillate Natural Gas(d) LPG and Coal and Breeze NAICS Total Electricity(b) Fuel Oil Fuel Oil(c) (billion NGL(e) (million (million Other(f) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States 311 Food 1,186 73,440 4 3 618 1 7 * 107 3112 Grain and Oilseed Milling 317 15,464 * * 115 * 5 0 30 311221 Wet Corn Milling 179 6,746 * * 51 * 4 0 9 31131 Sugar Manufacturing 82 968 1 * 17 * 1 * 20 3114 Fruit and Vegetable Preserving and Specialty Food 169 9,708 * * 123 * * 0 4 3115 Dairy Product

46

Douglas Factors  

Broader source: Energy.gov [DOE]

The Merit Systems Protection Board in its landmark decision, Douglas vs. Veterans Administration, 5 MSPR 280, established criteria that supervisors must consider in determining an appropriate penalty to impose for an act of employee misconduct. These twelve factors are commonly referred to as “Douglas Factors” and have been incorporated into the Federal Aviation Administration (FAA) Personnel Management System and various FAA Labor Agreements.

47

Power Factor Compensation (PFC) Power Factor Compensation  

E-Print Network [OSTI]

Power Factor Compensation (PFC) Power Factor Compensation The power factor (PF) is defined as the ratio between the active power and the apparent power of a system. If the current and voltage are periodic with period , and [ ), then the active power is defined by ( ) ( ) (their inner product

Knobloch,Jürgen

48

Ocean Breeze Park, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

7.2402216°, -80.2258574° 7.2402216°, -80.2258574° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":27.2402216,"lon":-80.2258574,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

49

Power Factor Improvement  

E-Print Network [OSTI]

Power factor control is a necessary ingredient in any successful Energy Management Program. Many companies are operating with power factors of 70% or less and are being penalized through the electrical utility bill. This paper starts by describing...

Viljoen, T. A.

1979-01-01T23:59:59.000Z

50

The Douglas Factors  

Broader source: Energy.gov (indexed) [DOE]

Douglas Factors Douglas Factors The Merit Systems Protection Board in its landmark decision, Douglas vs. Veterans Administration, 5 MSPR 280, established criteria that supervisors must consider in determining an appropriate penalty to impose for an act of employee misconduct. These twelve factors are commonly referred to as "Douglas Factors: (1) The nature and seriousness of the offense, and its relation to the employee's duties, position, and responsibilities, including whether the offense was intentional or technical or inadvertent, or was committed maliciously or for gain, or was frequently repeated; (2) the employee's job level and type of employment, including supervisory or fiduciary role,

51

Meson electromagnetic form factors  

E-Print Network [OSTI]

The electromagnetic structure of the pseudoscalar meson nonet is completely described by the sophisticated Unitary&Analytic model, respecting all known theoretical properties of the corresponding form factors.

Stanislav Dubnicka; Anna Z. Dubnickova

2012-10-23T23:59:59.000Z

52

Computing nonnegative tensor factorizations  

E-Print Network [OSTI]

Oct 19, 2006 ... Keywords N-dimensional arrays, tensors, nonnegative tensor factorization, alternating ..... for each A(n)) are standard nonnegative linear least-squares problems over the vector ..... interface (lsNTF) implements the nonnegative tensor factorization for N = 3 and relies on .... and inaccurate measurements.

2006-10-18T23:59:59.000Z

53

Two-Factor Authentication  

Broader source: Energy.gov [DOE]

Two-Factor Authentication (2FA) is a system wherein two different methods are used to authenticate an individual. 2FA is based on something you know (a secret PIN) and something you have (an...

54

factors | OpenEI  

Open Energy Info (EERE)

36 36 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142253836 Varnish cache server factors Dataset Summary Description This dataset is from the report Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions. Source National Renewable Energy Laboratory Date Released August 28th, 2012 (2 years ago)

55

Table 3.2 Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

2 Fuel Consumption, 2010; 2 Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. NAICS Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal and Breeze Other(f) Total United States 311 Food 1,158 257 12 22 579 6 182 2 99 3112 Grain and Oilseed Milling 350 56 * 1 121 * 126 0 45 311221 Wet Corn Milling 214 25 * * 53 * 110 0 25 31131 Sugar Manufacturing 107 4 1 1 15 * 49 2 36 3114 Fruit and Vegetable Preserving and Specialty Foods 143 31 1 Q 100 1 2 0 4 3115 Dairy Products 105 33 2 2 66 1 * 0 2 3116 Animal Slaughtering and Processing 212 69 5 3 125 2 Q 0 8 312 Beverage and Tobacco Products 86 29 1 1 38 1 10 0 7 3121 Beverages

56

Table 3.3 Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

3 Fuel Consumption, 2010; 3 Fuel Consumption, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. Economic Net Residual Distillate LPG and Coke and Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal Breeze Other(f) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,148 314 6 53 446 14 25 Q 291 20-49 1,018 297 13 22 381 18 97 5 185 50-99 1,095 305 7 13 440 6 130 9 186 100-249 1,728 411 16 11 793 7 131 7 353 250-499 1,916 391 16 11 583 3 185 5 722 500 and Over 7,323 720 21 21 2,569 21 300 348 3,323 Total 14,228 2,437 79 130 5,211 69 868 376 5,059 Employment Size Under 50 1,149 305 12 45 565 21 31

57

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;  

U.S. Energy Information Administration (EIA) Indexed Site

3.3 Fuel Consumption, 2006; 3.3 Fuel Consumption, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. Economic Net Residual Distillate LPG and Coke and Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal Breeze Other(f) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,139 367 23 45 535 14 21 3 131 20-49 1,122 333 13 19 530 8 93 5 122 50-99 1,309 349 22 17 549 10 157 8 197 100-249 2,443 607 25 19 994 11 263 10 512 250-499 2,092 413 53 13 633 4 244 3 730 500 and Over 7,551 781 115 17 2,271 31 240 344 3,752 Total 15,657 2,851 251 129 5,512 79 1,016 374 5,445 Employment Size Under 50 1,103 334 10 45 550 10

58

Multi-factor authentication  

DOE Patents [OSTI]

Detection and deterrence of spoofing of user authentication may be achieved by including a cryptographic fingerprint unit within a hardware device for authenticating a user of the hardware device. The cryptographic fingerprint unit includes an internal physically unclonable function ("PUF") circuit disposed in or on the hardware device, which generates a PUF value. Combining logic is coupled to receive the PUF value, combines the PUF value with one or more other authentication factors to generate a multi-factor authentication value. A key generator is coupled to generate a private key and a public key based on the multi-factor authentication value while a decryptor is coupled to receive an authentication challenge posed to the hardware device and encrypted with the public key and coupled to output a response to the authentication challenge decrypted with the private key.

Hamlet, Jason R; Pierson, Lyndon G

2014-10-21T23:59:59.000Z

59

Public Health FAT FACTORS  

E-Print Network [OSTI]

: THE UNITED STATES SPENDS MORE ON HEALTH CARE THAN ANY OTHER COUNTRY. YET WE CONTINUE TO FALL FAR BEHIND States spends an astonishing percent of our gross domestic product on health care--significantly moreColumbia Public Health HOT TOPIC Climate Change FAT FACTORS Obesity Prevention BOOK SMART

Qian, Ning

60

Factors Affecting Photosynthesis!  

E-Print Network [OSTI]

Factors Affecting Photosynthesis! Temperature Eppley (1972) Light Sverdrup's Critical Depth-493, but the general concept is still valid! ! #12;PB opt & Temperature! #12;Photosynthesis & Temperature! Remember: in the laboratory, we can measure photosynthesis versus irradiance (PvsE) and calculate Ek, Pmax, and alpha

Kudela, Raphael M.

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Many Factors Affect MPG  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Many Factors Affect Fuel Economy Many Factors Affect Fuel Economy How You Drive Vehicle Maintenance Fuel Variations Vehicle Variations Engine Break-In Vehicles in traffic Quick acceleration and heavy braking can reduce fuel economy by up to 33 percent on the highway and 5 percent around town. New EPA tests account for faster acceleration rates, but vigorous driving can still lower MPG. Excessive idling decreases MPG. The EPA city test includes idling, but more idling will lower MPG. Driving at higher speeds increases aerodynamic drag (wind resistance), reducing fuel economy. The new EPA tests account for aerodynamic drag up to highway speeds of 80 mph, but some drivers exceed this speed. Cold weather and frequent short trips can reduce fuel economy, since your engine doesn't operate efficiently until it is warmed up. In colder

62

Human Factors Review Plan  

SciTech Connect (OSTI)

''Human Factors'' is concerned with the incorporation of human user considerations into a system in order to maximize human reliability and reduce errors. This Review Plan is intended to assist in the assessment of human factors conditions in existing DOE facilities. In addition to specifying assessment methodologies, the plan describes techniques for improving conditions which are found to not adequately support reliable human performance. The following topics are addressed: (1) selection of areas for review describes techniques for needs assessment to assist in selecting and prioritizing areas for review; (2) human factors engineering review is concerned with optimizing the interfaces between people and equipment and people and their work environment; (3) procedures review evaluates completeness and accuracy of procedures, as well as their usability and management; (4) organizational interface review is concerned with communication and coordination between all levels of an organization; and (5) training review evaluates training program criteria such as those involving: trainee selection, qualification of training staff, content and conduct of training, requalification training, and program management.

Paramore, B.; Peterson, L.R. (eds.)

1985-12-01T23:59:59.000Z

63

Optimizing Power Factor Correction  

E-Print Network [OSTI]

studied were 100, 150, 200, 300, 400, and 500 hours times each value of KW. The values of the capacitor cost parameters B and D were chosen to cover the range of costs suggested by capacitor suppliers and an electrical contractor. The values for B... plots correspond Power Factor Range: 0.5 to 1.0. to values of KW and KWH as shown in Fig. 5. The Figure 6; B ? $1,500; D ? $15 per kV I\\R. values of KWH are the products of the KW's and the hours. KWH/KII, hr 100 150 200 300 400 500 KII, kll...

Phillips, R. K.; Burmeister, L. C.

64

22 - Conversion Factors  

Science Journals Connector (OSTI)

Abstract This chapter details the viscosity and pressure conversion chart. To convert absolute or dynamic viscosity from one set of units to another, one must locate the given set of units in the left-hand column then multiply the numerical value by the factor shown horizontally to the right-hand side, under the set of units desired. The chapter also explains that to convert kinematic viscosity from one set of units to another, one must locate the given set of units in the left-hand column and multiply the numerical value by the factor shown horizontally to the right-hand side, under the set of units desired. The chapter also defines how the conversion from natural gas to other fuels has progressed from possibility to reality for many companies and will become necessary for many others in months and years ahead. Fuels that are considered practical replacements for gas include coal, heavy fuel oils, middle distillates (such as kerosine–typeturbo fuel and burner fuel oils) and liquefied petroleum gas.

2014-01-01T23:59:59.000Z

65

Table A36. Total Inputs of Energy for Heat, Power, and Electricity  

U.S. Energy Information Administration (EIA) Indexed Site

"Net","Residual","and Diesel",,,"and",,"Row" "Code(a)","End-Use Categories","Total","Electricity(b)","Fuel Oil","Fuel(c)","Natural Gas(d)","LPG","Breeze)","Other(e)","Factors" ,...

66

Exposure factors handbook  

SciTech Connect (OSTI)

The document provides a summary of the available data on various factors used in assessing human exposure including drinking-water consumption, consumption rates of broad classes of food including fruits, vegetables, beef, dairy products, and fish; soil ingestion; inhalation rate; skin area; lifetime; activity patterns; and body weight. Additionally, a number of specific exposure scenarios are identified with recommendations for default values to use when site-specific data are not available. The basic equations using these parameters to calculate exposure levels are also presented for each scenario. Default values are presented as ranges from typical to reasonable worst case and as frequency distributions where appropriate data were available. Finally, procedures for assessing the uncertainties in exposure assessments are also presented with illustrative examples. These procedures include qualitative and quantitative methods such as Monte Carlo and sensitivity analysis.

Konz, J.J.; Lisi, K.; Friebele, E.; Dixon, D.A.

1989-07-01T23:59:59.000Z

67

Anthrax Lethal Factor  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Thiang Yian Wong, Robert Schwarzenbacher and Robert C. Liddington Thiang Yian Wong, Robert Schwarzenbacher and Robert C. Liddington The Burnham Institute, 10901 North Torrey Pines Road, La Jolla, CA 92037. Anthrax Toxin is a major virulence factor in the infectious disease, Anthrax1. This toxin is produced by Bacillus anthracis, which is an encapsulated, spore-forming, rod-shaped bacterium. Inhalation anthrax, the most deadly form, is contracted through breathing spores. Once spores germinate within cells of the immune system called macrophages2, bacterial cells are released into the bloodstream. There they proliferate rapidly and secrete Anthrax Toxin, ultimately leading to septic shock and death. Although antibiotics may be used to kill the bacteria, the level of toxin has often become so high in the bloodstream that removing the bacteria alone is not sufficient to prevent death. Therefore, the design of anti-toxins offers the prospect of treatment in the advanced stages of infection. Together with collaborators from the NIH and Harvard Medical School, we are involved in the atomic resolution study of the Anthrax Toxin components and their complexes, including small molecules with therapeutic potential. Data collection at SSRL and other synchrotron radiation sources has been key to the advances made in this research so far and is expected to play a continuing role in the future.

68

Reducing Power Factor Cost | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Power Factor Cost Reducing Power Factor Cost Low power factor is expensive and inefficient. Many utility companies charge an additional fee if your power factor is less than 0.95....

69

Electrical and Production Load Factors  

E-Print Network [OSTI]

, Texas Abstract Load factors and operating hours of small and medium-sized industrial plants are analyzed to classify shift-work patterns and develop energy conservation diagnostic tools. This paper discusses two types of electric load factors... for each shift classification within major industry groups. The load factor based on billing hours (ELF) increases with operating hours from about 0.4 for a nominal one shift operation, to about 0.7 for around-the-clock operation. On the other hand...

Sen, T.; Heffington, W. M.

70

Industrial Power Factor Analysis Guidebook.  

SciTech Connect (OSTI)

Power factor is a way of measuring the percentage of reactive power in an electrical system. Reactive power represents wasted energy--electricity that does no useful work because the electrical current is out of phase with the voltage. Reactive power is used by inductive loads (such as, motors, transformers, fluorescent lights, arc welders and induction furnaces) to sustain their magnetic fields. Electric systems with many motors exhibit low power factors, increased conductor and transformer losses, and lower voltages. Utilities must supply both active and reactive power and compensate for these losses. Power factor can be improved by the addition of shunt capacitors. Capacitors act in opposition to inductive loads, thereby minimizing the reactive power required to serve them. In raising the power factor, shunt capacitors release energy to the system, reduce system losses, and ultimately decrease power costs. Improving system power factor can reduce reactive and active power losses for both industry and utilities through the addition of shunt capacitors. This Guide Book gives electric utility technical staff, industrial end-users, consultants and BPA employees a step-by-step method for evaluating the cost effectiveness of installing power factor correction capacitors in an industrial plant.

Electrotek Concepts.

1995-03-01T23:59:59.000Z

71

The effect of penetration factor, deposition, and environmental factors on  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

The effect of penetration factor, deposition, and environmental factors on The effect of penetration factor, deposition, and environmental factors on the indoor concentration of pm2.5 sulfate, nitrate, and carbon Title The effect of penetration factor, deposition, and environmental factors on the indoor concentration of pm2.5 sulfate, nitrate, and carbon Publication Type Conference Proceedings Year of Publication 2002 Authors Thatcher, Tracy L., Melissa M. Lunden, Richard G. Sextro, Susanne V. Hering, and Nancy J. Brown Conference Name Proceedings of the Indoor Air 2002 Conference, Monterey, CA Volume 1 Pagination 846-851 Publisher Indoor Air 2002, Santa Cruz, CA Abstract Indoor exposure to particles of outdoor origin constitutes an important exposure pathway. We conducted an intensive set of indoor particle measurements in an unoccupied house under differing operating conditions. Real-time measurements were conducted both indoors and outdoors, including PM2.5 nitrate, sulfate, and carbon. Because the time-scale of the fluctuations in outdoor particle concentrations and meteorological conditions are often similar to the time constant for building air exchange, a steady state concentration may never be reached. The time-series experimental data were used to determine the effect of changes in air exchange rate and indoor/outdoor temperature and relative humidity differences on indoor particle concentrations. A multivariate regression was performed to investigate the difference between measured indoor concentrations and results from a simple time-dependent physical model. Environmental conditions had a significant effect on indoor concentrations of all three PM2.5 species, but did not explain all of the model variation

72

Dynamic Structure Factor of Microemulsions  

Science Journals Connector (OSTI)

The dynamic structure factor G(k,?) is studied in a time-dependent Ginzburg-Landau model for microemulsions in thermal equilibrium by field-theoretic perturbation methods. For small viscosities, the structure factor develops a peak at a nonzero frequency ?, for fixed wavelengths of the order of the typical domain size of oil and water regions. This implies that the intermediate scattering function oscillates in time. We give a simple explanation for these temporal oscillations by considering the flow through a tube with a radius-dependent tension.

G. Gompper and M. Hennes

1994-08-22T23:59:59.000Z

73

Invariant time-series factorization  

Science Journals Connector (OSTI)

Time-series analysis is an important domain of machine learning and a plethora of methods have been developed for the task. This paper proposes a new representation of time series, which in contrast to existing approaches, decomposes a time-series dataset ... Keywords: Data mining, Time-series classification, Time-series factorization

Josif Grabocka; Lars Schmidt-Thieme

2014-09-01T23:59:59.000Z

74

Factors Impacting Decommissioning Costs - 13576  

SciTech Connect (OSTI)

The Electric Power Research Institute (EPRI) studied United States experience with decommissioning cost estimates and the factors that impact the actual cost of decommissioning projects. This study gathered available estimated and actual decommissioning costs from eight nuclear power plants in the United States to understand the major components of decommissioning costs. Major costs categories for decommissioning a nuclear power plant are removal costs, radioactive waste costs, staffing costs, and other costs. The technical factors that impact the costs were analyzed based on the plants' decommissioning experiences. Detailed cost breakdowns by major projects and other cost categories from actual power plant decommissioning experiences will be presented. Such information will be useful in planning future decommissioning and designing new plants. (authors)

Kim, Karen; McGrath, Richard [Electric Power Research Institute, 3420 Hillview Ave., Palo Alto, California (United States)] [Electric Power Research Institute, 3420 Hillview Ave., Palo Alto, California (United States)

2013-07-01T23:59:59.000Z

75

SIMULATION OF A SUMMER URBAN BREEZE OVER PARIS AUDE LEMONSU and VALRY MASSON  

E-Print Network [OSTI]

simulates a neutral or even slightly unstable boundary layer to a depth of 200 m over the city. In contrast LEMONSU AND VAL´ERY MASSON One of the consequences of contrasting surface energy fluxes between cities of the UHI is due to the release of the heat stored in the buildings during the day (or produced by domestic

Ribes, Aurélien

76

Association of Non-Marine Sulfate Aerosol with Sea Breeze Circulation in Tampa Bay  

Science Journals Connector (OSTI)

Peak concentrations of aerosol sulfur in Tampa, Florida may be the result of either regional-scale transformation and transport processes or local-scale transport from nearby air pollution sources. The existence of the latter has been ...

George S. Young; John W. Winchester

1980-04-01T23:59:59.000Z

77

Draft or breeze? preferences for air movement in office buildings and schools from the ASHRAE database  

E-Print Network [OSTI]

17-22, Copenhagen. Healthy Buildings 2009, September 13-17,and 6% wanted less. Healthy Buildings 2009, September 13-17,Slightly warm Warm Hot Healthy Buildings 2009, September 13-

Hoyt, Tyler; Zhang, Hui Ph.D; Arens, Edward

2009-01-01T23:59:59.000Z

78

Precise Neutron Magnetic Form Factors  

E-Print Network [OSTI]

Precise data on the neutron magnetic form factor G_{mn} have been obtained with measurements of the ratio of cross sections of D(e,e'n) and D(e,e'p) up to momentum transfers of Q^2 = 0.9 (GeV/c)^2. Data with typical uncertainties of 1.5% are presented. These data allow for the first time to extract a precise value of the magnetic radius of the neutron.

G. Kubon; H. Anklin; P. Bartsch; D. Baumann; W. U. Boeglin; K. Bohinc; R. Boehm; C. Carasco; M. O. Distler; I. Ewald; J. Friedrich; J. M Friedrich; M. Hauger; A. Honegger; P. Jennewein; J. Jourdan; M. Kahrau; K. W. Krygier; A. Liesenfeld; H. Merkel; U. Mueller; R. Neuhausen; Ch. Normand; Th. Petitjean; Th. Pospischil; M. Potokar; D. Rohe; G. Rosner; H. Schmieden; I. Sick; S. Sirca; Ph. Trueb; A. Wagner; Th. Walcher; G. Warren; M. Weis; H. Woehrle; M. ZeierJ. Zhao; B. Zihlmann

2001-07-26T23:59:59.000Z

79

Quantum Computers, Factoring, and Decoherence  

E-Print Network [OSTI]

In a quantum computer any superposition of inputs evolves unitarily into the corresponding superposition of outputs. It has been recently demonstrated that such computers can dramatically speed up the task of finding factors of large numbers -- a problem of great practical significance because of its cryptographic applications. Instead of the nearly exponential ($\\sim \\exp L^{1/3}$, for a number with $L$ digits) time required by the fastest classical algorithm, the quantum algorithm gives factors in a time polynomial in $L$ ($\\sim L^2$). This enormous speed-up is possible in principle because quantum computation can simultaneously follow all of the paths corresponding to the distinct classical inputs, obtaining the solution as a result of coherent quantum interference between the alternatives. Hence, a quantum computer is sophisticated interference device, and it is essential for its quantum state to remain coherent in the course of the operation. In this report we investigate the effect of decoherence on the quantum factorization algorithm and establish an upper bound on a ``quantum factorizable'' $L$ based on the decoherence suffered per operational step.

I. Chuang; Raymond Laflamme; P. Shor; W. Zurek

1995-03-08T23:59:59.000Z

80

Industrial Equipment Demand and Duty Factors  

E-Print Network [OSTI]

Demand and duty factors have been measured for selected equipment (air compressors, electric furnaces, injection molding machines, centrifugal loads, and others) in industrial plants. Demand factors for heavily loaded air compressors were near 100...

Dooley, E. S.; Heffington, W. M.

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Guidelines for Power Factor Improvement Projects  

E-Print Network [OSTI]

Power factor is an indication of electrical system efficiency. Low power factor, or low system efficiency, may be due to one or more causes, including lightly loaded transformers, oversized electric motors, and harmonic-generating non-linear loads...

Massey, G. W.

82

Cone Penetrometer N Factor Determination Testing Results  

SciTech Connect (OSTI)

This document contains the results of testing activities to determine the empirical 'N Factor' for the cone penetrometer in kaolin clay simulant. The N Factor is used to releate resistance measurements taken with the cone penetrometer to shear strength.

Follett, Jordan R.

2014-03-05T23:59:59.000Z

83

Crop Management Factors: What is Important?  

E-Print Network [OSTI]

Various management factors, including specific practices and the persistence of those practices over time, can greatly influence farm profitability. Some of those factors are managing for high yield or low production cost, as well as adoption...

Kastens, Terry L.; Dhuyvetter, Kevin C.; Nivens, Heather; Klinefelter, Danny A.

1999-09-29T23:59:59.000Z

84

Factors affecting balanced scorecard usage  

Science Journals Connector (OSTI)

The paper aims to focus on antecedents of the individual-level determinants of the model as opposed to firm-level determinants and how this might contribute to greater understanding for the implementation of the balanced scorecard (BSC). The paper is based on an empirical study of the data collected using the Dunn and Bradstreet database through a survey questionnaire. The analysis of the data shows that the awareness of BSC capabilities is positively associated with the adoption of the BSC. This is the most important variable leading to the adoption of the BSC by the sample companies. The current research has tried to make use of and discussed the available research in this area and has provided an antecedent to and direction for the implementation of the BSC. Though more empirical research is needed to generalise the findings, the current research has identified some factors and future research that may be undertaken in that direction.

Majidul Islam; Yi-Feng Yang; Yu-Jia Hu; Cheng-Se Hsu

2014-01-01T23:59:59.000Z

85

Prime Factorization in the Duality Computer  

E-Print Network [OSTI]

We give algorithms to factorize large integers in the duality computer. We provide three duality algorithms for factorization based on a naive factorization method, the Shor algorithm in quantum computing, and the Fermat's method in classical computing. All these algorithms are polynomial in the input size.

Wan-Ying Wang; Bin Shang; Chuan Wang; Gui Lu Long

2006-07-04T23:59:59.000Z

86

GUIDED ANGLER FISH ANNUAL CONVERSION FACTORS  

E-Print Network [OSTI]

GUIDED ANGLER FISH ANNUAL CONVERSION FACTORS FOR THE 2014 FISHING YEAR NOAA FISHERIES, ALASKA via the GAF electronic reporting system. If no GAF were harvested in a year, the conversion factor is the first calendar year that GAF regulations will be in effect. Therefore, the conversion factors are based

87

2008 Guidelines to Defra's GHG Conversion Factors Guidelines to Defra's GHG Conversion Factors  

E-Print Network [OSTI]

with the standard conversion factors at Annex 1. If, however, you export energy or heat to another business (or2008 Guidelines to Defra's GHG Conversion Factors 2008 Guidelines to Defra's GHG Conversion Factors yellow = Calculation results Page 1 of 15 #12;2008 Guidelines to Defra's GHG Conversion Factors Annex 1

88

Human preproinsulin-like growth factor I  

SciTech Connect (OSTI)

This patent describes a synthetic DNA sequence encoding a preproinsulin-like growth factor-I protein. It comprises: the sequence of amino acids.

Rotwein, P.S.; Krivi, G.G.

1990-10-16T23:59:59.000Z

89

Major Risk Factors Integrated Facility Disposition Project -...  

Office of Environmental Management (EM)

Integrated Facility Disposition Project - Oak Ridge Major Risk Factors Integrated Facility Disposition Project - Oak Ridge Full Document and Summary Versions are available for...

90

Nucleon Form Factor Measurements and Interpretation  

SciTech Connect (OSTI)

The data base for the form factors of the nucleon obtained from elastic ep scattering is discussed, as well as some recent developments in their calculation.

Charles F. Perdrisat

2007-08-22T23:59:59.000Z

91

Optimization Online - Directed modified Cholesky factorizations and ...  

E-Print Network [OSTI]

This must holds with full mathematical rigor, although the computations are done in floating-point arithmetic. Similarly, a directed modified Cholesky factorization ...

Ferenc Domes

92

NEW EFFICIENT AND ROBUST HSS CHOLESKY FACTORIZATION ...  

E-Print Network [OSTI]

The overall factorization requires fewer floating point operations and has better data locality when compared to the recent HSS method in [SIAM J. Matrix Anal.

2012-04-23T23:59:59.000Z

93

Directed modified Cholesky factorizations and convex quadratic ...  

E-Print Network [OSTI]

Jul 3, 2014 ... done in floating-point arithmetic. Domes & Neumaier [1] presented two methods for obtaining a directed. Cholesky factorization. The method ...

2014-07-03T23:59:59.000Z

94

Photon impact factor in the NLO  

SciTech Connect (OSTI)

The photon impact factor for the BFKL pomeron is calculated in the next-to-leading order (NLO) approximation using the operator expansion in Wilson lines. The result is represented as a NLO k{sub T}-factorization formula for the structure functions of small-x deep inelastic scattering.

Balitsky, Ian [JLAB

2013-04-01T23:59:59.000Z

95

Cloud Controlling Factors --Low Clouds BJORN STEVENS,  

E-Print Network [OSTI]

Cloud Controlling Factors -- Low Clouds BJORN STEVENS, Department of Atmospheric and Oceanic) clouds is reviewed, with an emphasis on factors that may be expected to change in a changing climate of low-cloud control- ling processes are offered: these include renewing our focus on theory, model

Stevens, Bjorn

96

IPCC Emission Factor Database | Open Energy Information  

Open Energy Info (EERE)

IPCC Emission Factor Database IPCC Emission Factor Database Jump to: navigation, search Tool Summary Name: IPCC Emission Factor Database Agency/Company /Organization: World Meteorological Organization, United Nations Environment Programme Resource Type: Dataset Website: www.ipcc-nggip.iges.or.jp/EFDB/main.php References: IPCC-EFDB[1] About "EFDB is meant to be a recognised library, where users can find emission factors and other parameters with background documentation or technical references that can be used for estimating greenhouse gas emissions and removals. The responsibility of using this information appropriately will always remain with the users themselves." References ↑ "IPCC-EFDB" Retrieved from "http://en.openei.org/w/index.php?title=IPCC_Emission_Factor_Database&oldid=367213"

97

Exploratory factor analysis in behavior genetics research: Factor recovery with small sample sizes  

E-Print Network [OSTI]

Results of a Monte Carlo study of exploratory factor analysis demonstrate that in studies characterized by low sample sizes the population factor structure can be adequately recovered if communalities are high, model error ...

Preacher, K. J.; MacCallum, R. C.

2002-01-01T23:59:59.000Z

98

Term Structure Dynamics with Macroeconomic Factors  

E-Print Network [OSTI]

with Macro Variables I present an a ne term structure model with latent factors and observable macroeco- nomic variables. I denote a state variable vector by Xt = (x1t; ;xkt;xk+1t;:::;xnt)0, where the rstk factors are unobservable and the remaining (n k...) factors are macroe- conomic variables. Suppose that Xt follows an Ito process (2.3) dXt = K[ Xt]dt+ p StdWt; where K is an n n matrix, is an n 1 vector. St is an n n diagonal matrix and the ith diagonal element is given as i + 0iXt, where i is a...

Park, Ha-Il

2011-02-22T23:59:59.000Z

99

Phenomenology of the Deuteron Electromagnetic Form Factors  

E-Print Network [OSTI]

A rigorous extraction of the deuteron charge form factors from tensor polarization data in elastic electron-deuteron scattering, at given values of the 4-momentum transfer, is presented. Then the world data for elastic electron-deuteron scattering is used to parameterize, in three different ways, the three electromagnetic form factors of the deuteron in the 4-momentum transfer range 0-7 fm^-1. This procedure is made possible with the advent of recent polarization measurements. The parameterizations allow a phenomenological characterization of the deuteron electromagnetic structure. They can be used to remove ambiguities in the form factors extraction from future polarization data.

TheJLAB t20 collaboration; D. Abbott

2000-02-25T23:59:59.000Z

100

Synthetic heparin-binding factor analogs  

DOE Patents [OSTI]

The invention provides synthetic heparin-binding growth factor analogs having at least one peptide chain, and preferably two peptide chains branched from a dipeptide branch moiety composed of two trifunctional amino acid residues, which peptide chain or chains bind a heparin-binding growth factor receptor and are covalently bound to a non-signaling peptide that includes a heparin-binding domain, preferably by a linker, which may be a hydrophobic linker. The synthetic heparin-binding growth factor analogs are useful as pharmaceutical agents, soluble biologics or as surface coatings for medical devices.

Pena, Louis A. (Poquott, NY); Zamora, Paul O. (Gaithersburg, MD); Lin, Xinhua (Plainview, NY); Glass, John D. (Shoreham, NY)

2010-04-20T23:59:59.000Z

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

electricity emission factors | OpenEI  

Open Energy Info (EERE)

emission factors emission factors Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago) Keywords buildings carbon dioxide emissions carbon footprinting CO2 commercial buildings electricity emission factors ERCOT hourly emission factors interconnect nitrogen oxides

102

Influencia de diversos factores sobre Eremothecium ashbyii  

Science Journals Connector (OSTI)

Se observa la diferencia entre las variables productoras y no productoras de riboflavina, establecidas por sus caracteres morfológicos y microscópicos, y se estudia la influencia de ciertos factores y la inmun...

Marta Polichenco

103

Factors favorable to public participation success  

SciTech Connect (OSTI)

Categories of factors linked to successful public participation (PP) program outcomes include PP process, organizational context, sociopolitical context, strategic considerations and unique (special circumstances) factors. We re-order the long list factors according to how essential, important, and unique they are and discuss their significance and interrelationships. It is argued that bureacratic structure and operational modes are basically in conflict with features of successful PP programs (openness, two-way education, communication with nonexpert outsiders). If this is so, then it is not surprising that the factors essential for PP success in bureacracies involve extraordinary management efforts by agencies to bypass, compensate for, or overcome structural constraints. We conclude by speculating about the long-term viability of PP practices in the agency setting as well as the consequences for agencies that attempt the problematic task of introducing PP into their complex, mission-oriented organizations.

Peelle, E.; Schweitzer, M.; Munro, J.; Carnes, S.; Wolfe, A.

1996-05-01T23:59:59.000Z

104

Decision making process and factors routing  

E-Print Network [OSTI]

This research studies the decision-making process and the factors that affect truck routing. The data collection involved intercept interviews with truck drivers at three rest area and truck stops along major highways in ...

Sun, Yichen, S.M. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

105

Carbon Dioxide Emission Factors for Coal  

Reports and Publications (EIA)

The Energy Information Administration (EIA) has developed factors for estimating the amount of carbon dioxide emitted, accounting for differences among coals, to reflect the changing "mix" of coal in U.S. coal consumption.

1994-01-01T23:59:59.000Z

106

Repairing Tom Swift's electric factor analysis machine  

E-Print Network [OSTI]

Proper use of exploratory factor analysis (EFA) requires the researcher to make a series of careful decisions. Despite attempts by Floyd and Widaman (1995), Fabrigar, Wegener, MacCallum, and Strahan (1999), and others to ...

Preacher, K. J.; MacCallum, R. C.

2003-01-01T23:59:59.000Z

107

Factors affecting robust retail energy markets  

SciTech Connect (OSTI)

This paper briefly defines an active retail market, details the factors that influence market activity and their relative importance, compares activity in various retail energy markets to date, and predicts future retail energy market activity. Three primary factors translate into high market activity: supplier margins, translated into potential savings for actively shopping customers; market size; and market barriers. The author surveys activity nationwide and predicts hot spots for the coming year.

Michelman, T.S.

1999-04-01T23:59:59.000Z

108

Capacity factors and solar job creation  

Science Journals Connector (OSTI)

We discuss two main job creation statistics often used by solar advocates to support increased solar deployment. Whilst overall solar technologies have a tendency to be labor-intensive, we find that the jobs per gigawatt hour statistic is relatively mis-leading as it has a tendency to reward technologies that have a low capacity factor. Ultimately the lower the capacity factor the more amplified the solar job creation number.

Matt Croucher

2011-01-01T23:59:59.000Z

109

Factors and Feeds for Supplementing Beef Cows  

E-Print Network [OSTI]

decreases, and so does diet quality. Then, supple- mentation may become necessary even if animal numbers are reduced. Factors and Feeds for Supplementing Beef Cows Stephen P. Hammack and Ronald J. Gill* *Extension Beef Cattle Specialist and Extension Live... decreases, and so does diet quality. Then, supple- mentation may become necessary even if animal numbers are reduced. Factors and Feeds for Supplementing Beef Cows Stephen P. Hammack and Ronald J. Gill* *Extension Beef Cattle Specialist and Extension Live...

Hammack, Stephen P.; Gill, Ronald J.

2000-05-03T23:59:59.000Z

110

Factor Analysis for Skewed Data and Skew-Normal Maximum Likelihood Factor Analysis  

E-Print Network [OSTI]

. RESULTS OF LARGE SAMPLE SIMULATIONS OF THE SKEW-ELLIPTICAL FACTOR MODEL WITH SMALLISH KURTOSIS ? = 5 AND P = 5 DIMENSIONS AND K = 2 COMMON FACTORS 258 vii LIST OF FIGURES FIGURE Page 1.1 Skewed Observed Data... . . . . . . . . . . 85 5.4 Standardized Factor Loadings and Uniquenesses in Simulation . 86 5.5 90% Probability Interval for ??MOM . . . . . . . . . . . . . . . . 109 5.6 95% Probability Interval for ??MOM . . . . . . . . . . . . . . . . 110 5.7 Proportion of Samples...

Gaucher, Beverly Jane

2013-04-04T23:59:59.000Z

111

EcoFactor Inc | Open Energy Information  

Open Energy Info (EERE)

EcoFactor Inc EcoFactor Inc Jump to: navigation, search Name EcoFactor Inc Place Millbrae, California Zip 94030 Product California-based home energy management service provider. Coordinates 37.60276°, -122.395444° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.60276,"lon":-122.395444,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

112

Emission Factors (EMFAC) | Open Energy Information  

Open Energy Info (EERE)

Emission Factors (EMFAC) Emission Factors (EMFAC) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: EMFAC Agency/Company /Organization: California Environmental Protection Agency Sector: Energy Focus Area: Transportation Phase: Determine Baseline Topics: Baseline projection, GHG inventory Resource Type: Software/modeling tools, Online calculator User Interface: Spreadsheet Website: www.arb.ca.gov/msei/onroad/latest_version.htm Country: United States Cost: Free Northern America References: http://www.arb.ca.gov/msei/onroad/latest_version.htm The EMission FACtors (EMFAC) model is used to calculate emission rates from all motor vehicles, such as passenger cars to heavy-duty trucks, operating on highways, freeways and local roads in California. EMFAC2007 is the most recent version of this model.

113

miRNA as Bystander Effect Factor  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

miRNA as Bystander Effect Factor miRNA as Bystander Effect Factor L. Smilenov Columbia University Abstract miRNA are 21-23 mer RNA molecules which are essential for organism development and cell functions. They regulate gene expression by binding to the 3’UTR of mRNA, inducing either mRNA degradation or mRNA silencing. The most characteristic properties of miRNA are their multi-targeting potential (one miRNA may target many genes). This high information content of miRNAs makes them very important factors in cell reprogramming. Since these are small molecules which can potentially pass through gap junctions, it is logical to consider their role in cell to cell communication. We hypothesized that miRNA transfer between cells is likely to occur under stress conditions. To test this hypothesis we developed a system designed

114

Non-observability of Spectroscopic Factors  

E-Print Network [OSTI]

The spectroscopic factor has long played a central role in nuclear reaction theory. However, it is not an observable. Consequently it is of minimal use as a meeting point between theory and experiment. In this paper the nature of the problem is explored. At the many-body level, unitary transformations are constructed that vary the spectroscopic factors over the full range of allowed values. At the phenomenological level, field redefinitions play a similar role and the spectroscopic factor extracted from experiment depend more on the assumed energy dependence of the potentials than on the measured cross-sections. The consistency conditions, gauge invariance and Wegmann's theorem play a large role in these considerations.

B. K. Jennings

2011-02-17T23:59:59.000Z

115

The Form Factors of the Nucleons  

SciTech Connect (OSTI)

There has been much activity in the measurement of the elastic electromagnetic proton and neutron form factors in the last decade, and the quality of the data has been greatly improved by performing double-polarization experiments, in comparison with with pre-vious unpolarized cross section data. Here we will review the experimental data base in view of the new results for the proton and the neutron, obtained at MIT-Bates, JLab and MAMI. The rapid evolution of phenomenological models triggered by these high- precision experiments will be discussed. In particular, the possibility that the proton is non-spherical in its ground state, and that the transverse charge density are model in- dependently defined in the infinite momentum frame. Likewise, flavor decomposition of the nucleon form factors into dressed u and d quark form factors, may give information about the quark-diquark structure of the nucleon. The current proton radius "crisis" will also be discussed.

Perdrisat, Charles F. [William and Mary College, JLAB

2013-11-01T23:59:59.000Z

116

Factorized soft graviton theorems at loop level  

E-Print Network [OSTI]

We analyze the low-energy behavior of scattering amplitudes involving gravitons at loop level in four dimensions. The single-graviton soft limit is controlled by soft operators which have been argued to separate into a factorized piece and a non-factorizing infrared divergent contribution. In this note we show that the soft operators responsible for the factorized contributions are strongly constrained by gauge and Poincare invariance under the assumption of a local structure. We show that the leading and subleading orders in the soft-momentum expansion can not receive radiative corrections. The first radiative correction occurs for the sub-subleading soft graviton operator and is one-loop exact. It depends on only two undetermined coefficients which should reflect the field content of the theory under consideration.

Broedel, Johannes; Plefka, Jan; Rosso, Matteo

2014-01-01T23:59:59.000Z

117

Can the scale factor be rippled?  

E-Print Network [OSTI]

We address an issue: would the cosmological scale factor be a locally oscillating quantity? This problem is examined in the framework of two classical 1+1-dimensional models: the first one is a string against a curved background, and the second one is an inhomogeneous Bianchi I model. For the string model, it is shown that there exist the gauge and the initial condition providing an oscillation of scale factor against a slowly evolving background, which is not affected by such an oscillation "at the mean". For the inhomogeneous Bianchi I model with the conformal time gauge, an initially homogeneous scale factor can become inhomogeneous and undergo the nonlinear oscillations. As is shown these nonlinear oscillations can be treated as a nonlinear gauge wave.

S. L. Cherkas; V. L. Kalashnikov

2012-06-26T23:59:59.000Z

118

Can the scale factor be rippled?  

E-Print Network [OSTI]

We address an issue: would the cosmological scale factor be a locally oscillating quantity? This problem is examined in the framework of two classical 1+1-dimensional models: the first one is a string against a curved background, and the second one is an inhomogeneous Bianchi I model. For the string model, it is shown that there exist the gauge and the initial condition providing an oscillation of scale factor against a slowly evolving background, which is not affected by such an oscillation "at the mean". For the inhomogeneous Bianchi I model with the conformal time gauge, an initially homogeneous scale factor can become inhomogeneous and undergo the nonlinear oscillations. As is shown these nonlinear oscillations can be treated as a nonlinear gauge wave.

Cherkas, S L

2012-01-01T23:59:59.000Z

119

miRNA as Bystander Effect Factor  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

miRNA as Bystander Effect Factor miRNA as Bystander Effect Factor L. Smilenov 1 , M. Grad 2 , D. Attinger 2 and E.Hall 1 1 Center for Radiological Research, Columbia University 2 Department of Mechanical Engineering, Columbia University DOE Grant: DEPS0208ER0820 Abstract: miRNA are 21-23 mer RNA molecules which are essential for organism development and cell functions. They regulate gene expression by binding to the 3'UTR of mRNA, inducing either

120

Momentum compaction and phase slip factor  

SciTech Connect (OSTI)

Section 2.3.11 of the Handbook of Accelerator Physics and Engineering on Landau damping is updated. The slip factor and its higher orders are given in terms of the various orders of the momentum compaction. With the aid of a simplified FODO lattice, formulas are given for the alteration of the lower orders of the momentum compaction by various higher multipole magnets. The transition to isochronicity is next demonstrated. Formulas are given for the extraction of the first three orders of the slip factor from the measurement of the synchrotron tune while changing the rf frequency. Finally bunch-length compression experiments in semi-isochronous rings are reported.

Ng, K.Y.; /Fermilab

2010-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Resistance Transfer Factors in sensitive strains ofS. panama  

Science Journals Connector (OSTI)

Two natural strains ofS.panama with an incomplete Resistance Factor (R factor) are described:S.panama I carries a Resistance Transfer Factor (RTF) exerting restriction on phageS.panama 47, but no resistance deter...

P. A. M. Guinée; H. M. C. C. Willems

1967-01-01T23:59:59.000Z

122

Regulatory factors for the assembly of thylakoid membrane protein complexes  

Science Journals Connector (OSTI)

...light and its conversion into chemical energy in oxygenic...known regulatory factors are conserved...Regulatory factors for the assembly...light and its conversion into chemical energy in oxygenic...known regulatory factors are conserved...

2012-01-01T23:59:59.000Z

123

From Saudi Arabia to Venezuela: Energy Resources, Market Factors & ConflictsEnergy Resources, Market Factors & Conflicts  

E-Print Network [OSTI]

From Saudi Arabia to Venezuela: Energy Resources, Market Factors & ConflictsEnergy Resources, Market Factors & Conflicts Dr. Tom O'Donnell Friday, 12:00 ­ 2:48 PM Room 125, Mendenhall Laboratory (Brazil, Russia, India and China) will end U.S. supremacy in the dollar based oil market? Lastly, we

O'Donnell, Tom

124

In Search of a Statistically Valid Volatility Risk Factor  

E-Print Network [OSTI]

The cross- section of volatility and expected returns, Theof a Statistically Valid Volatility Risk Factor (revised)of a Statistically Valid Volatility Risk Factor Robert M.

Anderson, Robert M.; Bianchi, Stephen W.; Goldberg, Lisa R.

2013-01-01T23:59:59.000Z

125

Patterns in Trash: Factors that Drive Municipal Solid Waste Recycling.  

E-Print Network [OSTI]

??Municipal recycling is driven by a variety of factors. Yet how these factors change over time is not well understood. I analyze a suite of… (more)

Starr, Jared

2014-01-01T23:59:59.000Z

126

Module: Emission Factors for Deforestation | Open Energy Information  

Open Energy Info (EERE)

Website: www.leafasia.orgtoolstechnical-guidance-series-emission-factors-defo Cost: Free Language: English Module: Emission Factors for Deforestation Screenshot Logo: Module:...

127

Traffic culture human factors & traffic safety  

E-Print Network [OSTI]

Traffic culture human factors & traffic safety by Dr.-Ing. Haraldur Sigþórsson and Dr.-Ing. Stefán) Culture, traffic culture and traffic safety culture are interrelated Culture www.hr.is 3 Traffic Culture Traffic safety culture What is culture? · A culture is a collection of behavioral patterns that are found

Karlsson, Brynjar

128

DYNAMIC INTERACTION FACTORS FOR FLOATING PILE GROUPS  

E-Print Network [OSTI]

-numerical formulation for two ideal- ized soil profiles (a homogeneous half-space and a half-space with modulus pro interaction factors for static deformation analysis of pile groups. INTRODUCTION Under static working loads) the sharing among individual piles of the load applied at the pile cap is generally uneven, with the corner

Entekhabi, Dara

129

Factorizations of Operator Matrices Lawrence A. Harris  

E-Print Network [OSTI]

Factorizations of Operator Matrices Lawrence A. Harris Mathematics Department University matrix as a product of an upper triangular operator matrix and an involutory, unitary or J- unitary L(H, K) and (A - WC)-1 exists; moreover, S = T-1 . Theorem 1 Put R = -(A - W0C) AZ0 + W0D 0 CZ0 + D

Harris, Larry

130

Cloud Controlling Factors --Low Clouds BJORN STEVENS,  

E-Print Network [OSTI]

Cloud Controlling Factors -- Low Clouds BJORN STEVENS, Department of Atmospheric and Oceanic conspire to determine the statistics and cli- matology of layers of shallow (boundary layer) clouds of low-cloud control- ling processes are offered: these include renewing our focus on theory, model

Stevens, Bjorn

131

Factors Affecting PMU Installation Costs (October 2014)  

Broader source: Energy.gov [DOE]

The Department of Energy investigated the major cost factors that affected PMU installation costs for the synchrophasor projects funded through the Recovery Act Smart Grid Programs. The data was compiled through interviews with the nine projects that deployed production grade synchrophasor systems.

132

Impact Factors of Energy Intensity in China  

E-Print Network [OSTI]

Energy intensity reflects energy usage efficiency in the production and consumption process, and leads to carbon dioxide emissions and the energy security of an economy. Liao et al. (2007) analyzed factors contribute to the fluctuation of China’s energy intensity from 1997 to 2006, and found that efficiency effects and structural effects are the major impacting factors. Therefore, they suggested that China should attach more importance to optimizing its sectoral structure, and lowering its investment ratio in the future. However, economic development and energy intensity are influenced by many factors. In their research, Liao et al. (2007) omitted some important contributing factors to energy intensities, and their suggestions also had some practical limitations. First of all, Liao et al. (2007) did not analyze impacts from energy prices in energy usage efficiency. In the existing literature, Birol and Keppler (2000) applied economics theory and suggested that higher energy prices can induce the improvements in energy usage efficiency, thereby lowering energy intensity. Hang and Tu (2007) studied the influence of energy price on the Chinese economy's energy intensity and their empirical results also showed that higher energy prices can lower energy intensity. Because energy prices have been regulated by the

unknown authors

133

Scatter factors assessment in microbeam radiation therapy  

SciTech Connect (OSTI)

Purpose: The success of the preclinical studies in Microbeam Radiation Therapy (MRT) paved the way to the clinical trials under preparation at the Biomedical Beamline of the European Synchrotron Radiation Facility. Within this framework, an accurate determination of the deposited dose is crucial. With that aim, the scatter factors, which translate the absolute dose measured in reference conditions (2 x 2 cm{sup 2} field size at 2 cm-depth in water) to peak doses, were assessed. Methods: Monte Carlo (MC) simulations were performed with two different widely used codes, PENELOPE and GEANT4, for the sake of safety. The scatter factors were obtained as the ratio of the doses that are deposited by a microbeam and by a field of reference size, at the reference depth. The calculated values were compared with the experimental data obtained by radiochromic (ISP HD-810) films and a PTW 34070 large area chamber. Results: The scatter factors for different microbeam field sizes assessed by the two MC codes were in agreement and reproduced the experimental data within uncertainty bars. Those correction factors were shown to be non-negligible for the future MRT clinical settings: an average 30% lower dose was deposited by a 50 {mu}m microbeam with respect to the reference conditions. Conclusions: For the first time, the scatter factors in MRT were systematically studied. They constitute an essential key to deposit accurate doses in the forthcoming clinical trials in MRT. The good agreement between the different calculations and the experimental data confirms the reliability of this challenging micrometric dose estimation.

Prezado, Y.; Martinez-Rovira, I.; Sanchez, M. [Laboratoire Imagerie et Modelisation en Neurobiologie et Cancerologie IMNC-UMR 8165, Centre National de la Recherche Scientifique (CNRS), Campus Universitaire, Bat. 440, 15 rue Georges Clemenceau, 91406 Orsay Cedex (France); Institut de Tecniques Energetiques, Universitat Politecnica de Catalunya, Diagonal 647, E-08028 Barcelona (Spain) and ID17 Biomedical Beamline, European Synchrotron Radiation Facility (ESRF), 6 Rue Jules Horowitz, B.P. 220, 38043 Grenoble Cedex (France); Servicio de Radiofisica, Complejo Hospitalario de Santiago de Compostela, Rua Choupana S/N, 15706 Santiago de Compostela (Spain)

2012-03-15T23:59:59.000Z

134

" Row: NAICS Codes; Column: Energy Sources;"  

U.S. Energy Information Administration (EIA) Indexed Site

2. Fuel Consumption, 1998;" 2. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

135

" Row: Selected SIC Codes; Column: Energy Sources;"  

U.S. Energy Information Administration (EIA) Indexed Site

2. Fuel Consumption, 1998;" 2. Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "SIC"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Major Group and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

136

" Row: NAICS Codes; Column: Energy Sources;"  

U.S. Energy Information Administration (EIA) Indexed Site

2 Fuel Consumption, 2002;" 2 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ","Net","Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

137

Table A4. Total Inputs of Energy for Heat, Power, and Electricity Generation  

U.S. Energy Information Administration (EIA) Indexed Site

2" 2" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," "," "," "," "," " " "," "," "," "," "," "," "," "," "," "," ","RSE" "SIC"," "," ","Net","Residual","Distillate"," "," "," ","Coke"," ","Row" "Code(a)","Industry Groups and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","LPG","Coal","and Breeze","Other(e)","Factors"

138

Table A1. Total First Use (formerly Primary Consumption) of Energy for All Pu  

U.S. Energy Information Administration (EIA) Indexed Site

2" 2" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," "," "," "," ",," " " "," "," ",," "," ",," "," ",," ","Shipments","RSE" "SIC"," ",,"Net","Residual","Distillate",," ",,"Coke and"," ","of Energy Sources","Row" "Code(a)","Industry Group and Industry","Total(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","LPG","Coal","Breeze","Other(f)","Produced Onsite(g)","Factors"

139

" Electricity Generation by Census Region, Industry Group, and Selected"  

U.S. Energy Information Administration (EIA) Indexed Site

2" 2" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," "," "," "," "," " " "," "," "," "," "," "," "," "," "," "," ","RSE" "SIC"," "," "," ","Residual","Distillate"," "," "," ","Coke"," ","Row" "Code(a)","Industry Groups and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","LPG","Coal","and Breeze","Other(e)","Factors"

140

"Table A28. Total Expenditures for Purchased Energy Sources by Census Region"  

U.S. Energy Information Administration (EIA) Indexed Site

Total Expenditures for Purchased Energy Sources by Census Region" Total Expenditures for Purchased Energy Sources by Census Region" " and Economic Characteristics of the Establishment, 1991" " (Estimates in Million Dollars)" " "," "," "," ",," "," "," "," "," ","RSE" " "," "," ","Residual","Distillate","Natural"," "," ","Coke"," ","Row" "Economic Characteristics(a)","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors"

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Table A3. Total First Use (formerly Primary Consumption) of Combustible Energ  

U.S. Energy Information Administration (EIA) Indexed Site

Nonfuel" Nonfuel" " Purposes by Census Region, Industry Group, and Selected Industries, 1994: Part 2" " (Estimates in Trillion Btu) " " "," "," "," "," "," "," "," "," "," "," " " "," "," "," "," "," "," "," "," "," ","RSE" "SIC"," "," ","Residual","Distillate "," "," "," ","Coke "," ","Row" "Code(a)","Industry Group and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors"

142

Table 3.3 Fuel Consumption, 2002  

U.S. Energy Information Administration (EIA) Indexed Site

3 Fuel Consumption, 2002;" 3 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE" "Economic",,"Net","Residual","Distillate","Natural ","LPG and",,"Coke and"," ","Row" "Characteristic(a)","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","Breeze","Other(f)","Factors"

143

Table A1. Total Primary Consumption of Energy for All Purposes by Census  

U.S. Energy Information Administration (EIA) Indexed Site

2" 2" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," "," "," "," "," " " "," ",," "," "," "," "," "," "," "," ","RSE" "SIC"," ",,"Net","Residual","Distillate "," "," "," ","Coke"," ","Row" "Code(a)","Industry Groups and Industry"," Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","LPG","Coal","and Breeze","Other(e)","Factors"

144

The tropics have generally the most benign climates found on Earth, with gentle breezes and small daily and seasonal  

E-Print Network [OSTI]

by clouds or the surface, and an additional small per- centage is directly absorbed by atmospheric water and by trace amounts of certain gaseous components of the atmosphere, notably water vapor, carbon dioxide generate entropy, and the vast majority of that entropy is pro- duced in the atmosphere, mainly through

Emanuel, Kerry A.

145

FCV Learning Demonstration: Factors Affecting Fuel Cell Degradation (Presentation)  

SciTech Connect (OSTI)

Presentation on factors affecting fuel cell degradation in the DOE Fuel Cell Vehicle learning demonstation.

Kurtz, J.; Wipke, K.; Sprik, S.

2007-11-15T23:59:59.000Z

146

Transcription factor-based biosensors for detecting dicarboxylic acids  

DOE Patents [OSTI]

The invention provides methods and compositions for detecting dicarboxylic acids using a transcription factor biosensor.

Dietrich, Jeffrey; Keasling, Jay

2014-02-18T23:59:59.000Z

147

Using Two-Factor RSA Token  

Broader source: Energy.gov (indexed) [DOE]

Using Two-Factor RSA Token Using Two-Factor RSA Token with VPN User Guide November 2013 Using Your RSA token with WebVPN 1. Establish a connection to the Internet and connect to https://connect.doe.gov 2. Users who are using their RSA Token for the first time should follow the steps below for PIN creation. Others who have already set up their PIN and used their RSA token previously should enter their six digit numeric username and passcode; this is the PIN + the RSA token code. The result of this successful login will be Step 8 below. 3. A login page similar to the picture below will be displayed. Enter your VPN Username (six-digit numeric ID) and your Password by typing your generated RSA Token code and then click the Login button. Example; your generated RSA token code is 032848 (from above). In the Password box, you will enter

148

Factorization in B ---> V gamma decays  

SciTech Connect (OSTI)

The factorization properties of the radiative decays B {yields} V{gamma} are analyzed at leading order in 1/m{sub b} using the soft-collinear effective theory. It is shown that the decay amplitudes can be expressed in terms of a B {yields} V form factor evaluated at q{sup 2} = 0, light-cone distribution amplitudes of the B and V mesons, and calculable hard-scattering kernels. The renormalization-group equations in the effective theory are solved to resum perturbative logarithms of the different scales in the decay process. Phenomenological implications for the B {yields} K*{gamma} branching ratio, isospin asymmetry, and CP asymmetries are discussed, with particular emphasis on possible effects from physics beyond the Standard Model.

Becher, Thomas; /Fermilab; Hill, Richard J.; /SLAC; Neubert, Matthias; /Cornell U., LEPP

2005-03-01T23:59:59.000Z

149

Unified description of kaon electroweak form factors  

SciTech Connect (OSTI)

A calculation of the semileptonic decays of the kaon (K{sub l3}) is presented. The results are direct predictions of a covariant model of the pion and kaon introduced earlier by Ito, Buck, Gross. The weak form factors for K{sub l3} are predicted with absolutely no parameter adjustments of the model. The authors obtained for the form factor parameters: f{sub {minus}}(q{sup 2}=m{sub l}{sup 2})/f{sub +}(q{sup 2}=m{sub l}{sup 2})={minus}0.28 and {lambda}{sub +}= 0.028, both within experimental error bars. Connections of this approach to heavy quark symmetry will also be discussed.

A. Afanasev; W. Buck

1996-06-01T23:59:59.000Z

150

Factorization in B to V gamma Decays  

SciTech Connect (OSTI)

The factorization properties of the radiative decays B {yields} V{gamma} are analyzed at leading order in 1/mb using the soft-collinear effective theory. It is shown that the decay amplitudes can be expressed in terms of a B {yields} V form factor evaluated at q{sup 2} = 0, light-cone distribution amplitudes of the B and V mesons, and calculable hard-scattering kernels. The renormalization-group equations in the effective theory are solved to resume perturbative logarithms of the different scales in the decay process. Phenomenological implications for the B {yields} K*{gamma} branching ratio, isospin asymmetry, and CP asymmetries are discussed, with particular emphasis on possible effects from physics beyond the Standard Model.

Becher, T

2005-03-28T23:59:59.000Z

151

Growth factor parametrization in curved space  

SciTech Connect (OSTI)

The growth rate of matter perturbation and the expansion rate of the Universe can be used to distinguish modified gravity and dark energy models in explaining cosmic acceleration. We explore here the inclusion of spatial curvature into the growth factor. We expand previous results using the approximation {omega}{sub m}{sup {gamma}} and then suggest a new form, f{sub a}={omega}{sub m}{sup {gamma}}+({gamma}-4/7){omega}{sub k}, as an approximation for the growth factor when the curvature {omega}{sub k} is not negligible, and where the growth index {gamma} is usually model dependent. The expression recovers the standard results for the curved and flat {lambda}CDM and Dvali-Gabadadze-Porrati models. Using the best fit values of {omega}{sub m0} and {omega}{sub k0} to the expansion/distance measurements from Type Ia SNe, baryon acoustic oscillation, WMAP5, and H(z) data, we fit the growth index parameter to current growth factor data and obtain {gamma}{sub {lambda}}({omega}{sub k}{ne}0)=0.65{sub -0.15}{sup +0.17} and {gamma}{sub DGP}({omega}{sub k}{ne}0)=0.53{sub -0.12}{sup +0.14}. For the {lambda}CDM model, the 1-{sigma} observational bounds are found consistent with theoretical value, unlike the case for the Dvali-Gabadadze-Porrati model. We also find that the current data we used is not enough to put significant constraints when the 3 parameters in f{sub a} are fit simultaneously. Importantly, we find that, in the presence of curvature, the analytical expression proposed for f{sub a} provides a better fit to the growth factor than other forms and should be useful for future high precision missions and studies.

Gong Yungui; Ishak, Mustapha; Wang Anzhong [College of Mathematics and Physics, Chongqing University of Posts and Telecommunications, Chongqing 400065 (China) and Kavli Institute for Theoretical Physics China, CAS, Beijing 100190 (China); Department of Physics, University of Texas at Dallas, Richardson, Texas 75083 (United States); CASPER, Physics Department, Baylor University, Waco, Texas 76798 (United States)

2009-07-15T23:59:59.000Z

152

On form factors and Macdonald polynomials  

E-Print Network [OSTI]

We are developing the algebraic construction for form factors of local operators in the sinh-Gordon theory proposed in [B.Feigin, M.Lashkeivch, 2008]. We show that the operators corresponding to the null vectors in this construction are given by the degenerate Macdonald polynomials with rectangular partitions and the parameters $t=-q$ on the unit circle. We obtain an integral representation for the null vectors and discuss its simple applications.

Lashkevich, Michael

2013-01-01T23:59:59.000Z

153

On form factors and Macdonald polynomials  

E-Print Network [OSTI]

We are developing the algebraic construction for form factors of local operators in the sinh-Gordon theory proposed in [B.Feigin, M.Lashkeivch, 2008]. We show that the operators corresponding to the null vectors in this construction are given by the degenerate Macdonald polynomials with rectangular partitions and the parameters $t=-q$ on the unit circle. We obtain an integral representation for the null vectors and discuss its simple applications.

Michael Lashkevich; Yaroslav Pugai

2014-12-23T23:59:59.000Z

154

Nominal Performance Biosphere Dose Conversion Factor Analysis  

SciTech Connect (OSTI)

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standard. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. The objectives of this analysis are to develop BDCFs for the groundwater exposure scenario for the three climate states considered in the TSPA-LA as well as conversion factors for evaluating compliance with the groundwater protection standard. The BDCFs will be used in performance assessment for calculating all-pathway annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle activity in groundwater and the annual dose from drinking water for beta- and photon-emitting radionuclides. Another objective of this analysis was to re-qualify the output of the previous revision (BSC 2003 [DIRS 164403]).

M. Wasiolek

2004-09-08T23:59:59.000Z

155

Synergistic induction of phospholipid metabolism by granulocyte-macrophage colony stimulating factor and steel factor in human growth factor-dependent cell line, M07e  

Science Journals Connector (OSTI)

Steel factor (SLF), the ligand for the c-kit ... this phenomenon, we examined the effects of SLF and granulocyte-macrophage colony-stimulating factor (GM ... . We find that both GM-CSF and SLF induced increased p...

C. Mantel; Z. Luo; H. E. Broxmeyer

1995-07-01T23:59:59.000Z

156

Nominal Performance Biosphere Dose Conversion Factor Analysis  

SciTech Connect (OSTI)

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standards. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and the five analyses that develop parameter values for the biosphere model (BSC 2005 [DIRS 172827]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis'' (Figure 1-1). The objectives of this analysis are to develop BDCFs for the groundwater exposure scenario for the three climate states (present day, monsoon, and glacial transition) considered in the TSPA-LA, as well as conversion factors for compliance evaluation with the groundwater protection standards. The BDCFs will be used in performance assessment for calculating all-pathway annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle activity in groundwater and the annual dose from drinking water for beta- and photon-emitting radionuclides.

M.A. Wasiolek

2005-04-28T23:59:59.000Z

157

table10.11_02.xls  

U.S. Energy Information Administration (EIA) Indexed Site

1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2002; 1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2002; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. RSE NAICS Total Not Electricity Natural Distillate Residual Row Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Gas Fuel Oil Fuel Oil LPG Other(f) Factors Total United States RSE Column Factors: 1.5 1.2 1.5 0.7 1.1 0.8 1.1 1 0.5 311 Food 91 50 92 0 26 Q Q W W 10.7 311221 Wet Corn Milling 19 8 17 0 7 0 0 W W 0.9 31131 Sugar 24 13 22 0 11 0 4 0 W 0.9 311421 Fruit and Vegetable Canning 0 0 0 0 0 0 0 0 0 0 312 Beverage and Tobacco Products 17 8 12 0 7 W 5 0 0 5.3 3121 Beverages 9 5 5 0 W W W 0 0 8.5

158

Embeddings and factorizations of Banach spaces  

E-Print Network [OSTI]

argument works in our context. 29 CHAPTER IV OPERATORS WHICH FACTOR THROUGH lscriptP OR c0 A. Introduction In [12], W. B. Johnson answered the following question about the relation between the structure of Lp and lscriptp. Question IV.A.1. Give a Banach... space condition so that if X is a subspace of Lp (1 < p < 2) which satisfies the condition, then X embeds isomorphically into lscriptp. The equivalent dual question would be: Question IV.A.2. Give a Banach space condition so that if X is a quotient of Lp...

Zheng, Bentuo

2009-05-15T23:59:59.000Z

159

Local-field factors in cubic crystals  

Science Journals Connector (OSTI)

The local-field factors at an atomic site are calculated in the electric-dipole approximation for monatomic and diatomic cubic lattices. Their symmetry relations are deduced from thermodynamics, and an explicit computation as a function of the electronic delocalization is performed in several usual cases within the linear-screening approximation. Then the effective field undergone by an elementary excitation of the crystal (phonon, exciton) is investigated. A comparison is made with Hopfield's model concerning Frenkel's excitons, and with the Born and Huang theory of the infrared dielectric properties of ionic crystals.

R. Bonneville

1980-01-15T23:59:59.000Z

160

Neutron electric form factor via recoil polarimetry  

SciTech Connect (OSTI)

The ratio of the electric to the magnetic form factor of the neutron, G_En/G_Mn, was measured via recoil polarimetry from the quasielastic d({pol-e},e'{pol-n)p reaction at three values of Q^2 [viz., 0.45, 1.15 and 1.47 (GeV/c)^2] in Hall C of the Thomas Jefferson National Accelerator Facility. Preliminary data indicate that G_En follows the Galster parameterization up to Q^2 = 1.15 (GeV/c)^2 and appears to rise above the Galster parameterization at Q^2 = 1.47 (GeV/c)^2.

Richard Madey; Andrei Semenov; Simon Taylor; Aram Aghalaryan; Erick Crouse; Glen MacLachlan; Bradley Plaster; Shigeyuki Tajima; William Tireman; Chenyu Yan; Abdellah Ahmidouch; Brian Anderson; Razmik Asaturyan; O. Baker; Alan Baldwin; Herbert Breuer; Roger Carlini; Michael Christy; Steve Churchwell; Leon Cole; Samuel Danagoulian; Donal Day; Mostafa Elaasar; Rolf Ent; Manouchehr Farkhondeh; Howard Fenker; John Finn; Liping Gan; Kenneth Garrow; Paul Gueye; Calvin Howell; Bitao Hu; Mark Jones; James Kelly; Cynthia Keppel; Mahbubul Khandaker; Wooyoung Kim; Stanley Kowalski; Allison Lung; David Mack; D. Manley; Pete Markowitz; Joseph Mitchell; Hamlet Mkrtchyan; Allena Opper; Charles Perdrisat; Vina Punjabi; Brian Raue; Tilmann Reichelt; Joerg Reinhold; Julie Roche; Yoshinori Sato; Wonick Seo; Neven Simicevic; Gregory Smith; Samuel Stepanyan; Vardan Tadevosyan; Liguang Tang; Paul Ulmer; William Vulcan; John Watson; Steven Wells; Frank Wesselmann; Stephen Wood; Chen Yan; Seunghoon Yang; Lulin Yuan; Wei-Ming Zhang; Hong Guo Zhu; Xiaofeng Zhu

2003-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Factors for design of dips for roadways  

E-Print Network [OSTI]

limit is sub]ect to mot1on which may cause considerable discomfort to be experienced by the oocupants. If a dip is particularly critical, the vehicle may even incur damages. The most important consideration, however, 1s the fact that the driver may... lose control of the vehicle momentarily and be involved in a traffic accident. These three factors indicate the need for all dips in roadways to be nrop- erly designed, whether they are to be temporary or oermanent. The use of dips as speed checks...

McCasland, William Richard

2012-06-07T23:59:59.000Z

162

Resources required for topological quantum factoring  

SciTech Connect (OSTI)

We consider a hypothetical topological quantum computer composed of either Ising or Fibonacci anyons. For each case, we calculate the time and number of qubits (space) necessary to execute the most computationally expensive step of Shor's algorithm, modular exponentiation. For Ising anyons, we apply Bravyi's distillation method [S. Bravyi, Phys. Rev. A 73, 042313 (2006)] which combines topological and nontopological operations to allow for universal quantum computation. With reasonable restrictions on the physical parameters we find that factoring a 128-bit number requires approximately 10{sup 3} Fibonacci anyons versus at least 3x10{sup 9} Ising anyons. Other distillation algorithms could reduce the resources for Ising anyons substantially.

Baraban, M. [Department of Physics, Yale University, 217 Prospect Street, New Haven, Connecticut 06511 (United States); Bonesteel, N. E. [Department of Physics and National High Magnetic Field Laboratory, Florida State University, Tallahassee, Florida 32310 (United States); Simon, S. H. [Rudolf Peierls Centre for Theoretical Physics, Oxford University, 1 Keble Road, Oxford OX1 3NP (United Kingdom)

2010-06-15T23:59:59.000Z

163

Axial nucleon form factors from lattice QCD  

SciTech Connect (OSTI)

We present results on the nucleon axial form factors within lattice QCD using two flavors of degenerate twisted mass fermions. Volume effects are examined using simulations at two volumes of spatial length L=2.1 fm and L=2.8 fm. Cut-off effects are investigated using three different values of the lattice spacings, namely a=0.089 fm, a=0.070 fm and a=0.056 fm. The nucleon axial charge is obtained in the continuum limit and chirally extrapolated to the physical pion mass enabling comparison with experiment.

Alexandrou, C. [Department of Physics, University of Cyprus, P.O. Box 20537, 1678 Nicosia (Cyprus); Computation-based Science and Technology Research Center, Cyprus Institute, 20 Kavafi Str., Nicosia 2121 (Cyprus); Brinet, M.; Carbonell, J.; Harraud, P. A.; Papinutto, M. [Laboratoire de Physique Subatomique et Cosmologie, UJF/CNRS/IN2P3, 53 avenue des Martyrs, 38026 Grenoble (France); Constantinou, M. [Department of Physics, University of Cyprus, P.O. Box 20537, 1678 Nicosia (Cyprus); Guichon, P. [CEA-Saclay, IRFU/Service de Physique Nucleaire, 91191 Gif-sur-Yvette (France); Jansen, K. [NIC, DESY, Platanenallee 6, D-15738 Zeuthen (Germany); Korzec, T. [Department of Physics, University of Cyprus, P.O. Box 20537, 1678 Nicosia (Cyprus); Institut fuer Physik Humboldt Universitaet zu Berlin, Newtonstrasse 15, 12489 Berlin (Germany)

2011-02-15T23:59:59.000Z

164

Survey of nucleon electromagnetic form factors  

SciTech Connect (OSTI)

There has been much activity in the measurement of the elastic electromagnetic proton and neutron form factors in the last decade, and the quality of the data has been greatly improved by performing double polarization experiments, in compar- ison with previous unpolarized data. Here we review the experimental data base in view of the new results for the proton, and neutron, obtained at MIT-Bates, MAMI, and JLab. The rapid evolution of phenomenological models triggered by these high-precision experiments will be discussed.

Perdrisat, Charles F. [William and Mary College; Punjabi, Vina A. [Norfolk State U.

2011-09-20T23:59:59.000Z

165

Unit Conversion Factors Quantity Equivalent Values  

E-Print Network [OSTI]

Unit Conversion Factors Quantity Equivalent Values Mass 1 kg = 1000 g = 0.001 metric ton = 2.921 inHg at 0 C Energy 1 J = 1 N·m = 107 ergs = 107 dyne·cm = 2.778�10-7 kW·h 1 J = 0.23901 cal = 0·R 10.73 psia·ft3 lbmol·R 62.36 liter·torr mol·K 0.7302 ft3·atm lbmol·R Temperature Conversions: T

Ashurst, W. Robert

166

Factors influencing food intake of Hispanic children  

Science Journals Connector (OSTI)

The diets of Hispanic children are high in fat and low in fruits and vegetables, which may contribute to their high rates of obesity. Research has revealed that environmental factors, such as household structure, family attitudes towards food and the social context of food messages influence children's food intake. Ethnicity or level of acculturation in Hispanic families may moderate these relationships, but additional research is needed to more fully understand the effects of the process of acculturation on children's diets. More importantly, intervention research is needed to develop and implement programs that may be used to shape public health practice and policies.

Donna Matheson

2008-01-01T23:59:59.000Z

167

Prime number generation and factor elimination  

E-Print Network [OSTI]

We have presented a multivariate polynomial function termed as factor elimination function,by which, we can generate prime numbers. This function's mapping behavior can explain the irregularities in the occurrence of prime numbers on the number line. Generally the different categories of prime numbers found till date, satisfy the form of this function. We present some absolute and probabilistic conditions for the primality of the number generated by this method. This function is capable of leading to highly efficient algorithms for generating prime numbers.

Vineet Kumar

2014-10-06T23:59:59.000Z

168

EVALUATING NATIONAL ENVIRONMENTAL SUSTAINABILITY: PERFORMANCE MEASURES AND INFLUENTIAL FACTORS FOR  

E-Print Network [OSTI]

EVALUATING NATIONAL ENVIRONMENTAL SUSTAINABILITY: PERFORMANCE MEASURES AND INFLUENTIAL FACTORS Environmental Sustainability: Performance Measures and Influential Factors for OECD-Member Countries featuring reviews five studies that evaluate national environmental sustainability with composite indices; performs

169

Article Published on LED Lumen Maintenance and Light Loss Factors...  

Broader source: Energy.gov (indexed) [DOE]

Article Published on LED Lumen Maintenance and Light Loss Factors Article Published on LED Lumen Maintenance and Light Loss Factors January 20, 2014 - 12:00am Addthis An article...

170

Safety Science & Solutions Integrating Human Factors in Healthcare  

E-Print Network [OSTI]

Safety Science & Solutions Integrating Human Factors in Healthcare Tuesday 2nd December 2014 safety, quality and productivity in healthcare. Showcasing enduring solutions to patient safety recognised speakers in patient safety including: Martin Bromiley, Founder, Clinical Human Factors Group Dr

Levi, Ran

171

Identification and Control of Factors that Affect EGR Cooler Fouling  

Broader source: Energy.gov [DOE]

Key factors that cause exhaust gas recirculation cooler fouling were identified through extensive literature search and controlled experiment was devised to study the impact of a few key factors on deposition.

172

Extended correlations of porosity, permeability, and formation resistivity factor  

E-Print Network [OSTI]

, and the second is an empirically established correlation between the individual parameters. Although the two relationships are of the same form, the empirical form permits an independent detezmination of characterizing factors that appear in the rela..., and the characterizing factors for several formations have been calculated. These characterizing factors may have some merit for characterizing formations in general. Methods are also suggested for estimating these factors when limited data is available...

Ellis, Keith Wade

1987-01-01T23:59:59.000Z

173

Uranium Monochalcogenides: Magnetic Form Factor and Magnetic Neutron Scattering  

Science Journals Connector (OSTI)

Fig. R.66. UY. (A) Magnetic form factor. The radial ?j i? integrals, which contribute to the neutron magnetic fo...

R. Tro?

2009-01-01T23:59:59.000Z

174

Environmental factors influencing methanogenesis from refuse in landfill samples  

Science Journals Connector (OSTI)

Environmental factors influencing methanogenesis from refuse in landfill samples ... Biodegradability of Municipal Solid Waste Components in Laboratory-Scale Landfills ...

K. Rao Gurijala; Joseph M. Suflita

1993-06-01T23:59:59.000Z

175

hourly emission factors | OpenEI  

Open Energy Info (EERE)

60 60 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278660 Varnish cache server hourly emission factors Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago)

176

Disruptive Event Biosphere Dose Conversion Factor Analysis  

SciTech Connect (OSTI)

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the volcanic ash exposure scenario, and the development of dose factors for calculating inhalation dose during volcanic eruption. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed descriptions of the model input parameters, their development and the relationship between the parameters and specific features, events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the volcanic ash exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and from the five analyses that develop parameter values for the biosphere model (BSC 2004 [DIRS 169671]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; and BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis''. The objective of this analysis was to develop the BDCFs for the volcanic ash exposure scenario and the dose factors for calculating inhalation doses during volcanic eruption (eruption phase of the volcanic event). For the volcanic ash exposure scenario, the mode of radionuclide release into the biosphere is a volcanic eruption through the repository with the resulting entrainment of contaminated waste in the tephra and the subsequent atmospheric transport and dispersion of contaminated material in the biosphere. The biosphere process model for this scenario uses the surface deposition of contaminated ash as the source of radionuclides in the biosphere. The initial atmospheric transport and dispersion of the ash as well as its subsequent redistribution by fluvial and aeolian processes are not addressed within the biosphere model. These processes influence the value of the source term that is calculated elsewhere and then combined with the BDCFs in the TSPA model to calculate expected dose to the receptor. Another objective of this analysis was to re-qualify the output of the previous revision (BSC 2003 [DIRS 163958]).

M. Wasiolek

2004-09-08T23:59:59.000Z

177

Local algorithms for the prime factorization of strong product graphs  

E-Print Network [OSTI]

Local algorithms for the prime factorization of strong product graphs Marc Hellmuth, Wilfried factorization algorithms is limited in practise by unavoidable noise in the data. A first step towards error-tolerant "approximate" prime factorization, is the development of local approaches that cover the graph by factorizable

Stadler, Peter F.

178

Penetration Factor for Nuclear Fusion Reaction in Nonthermal Astrophysical Plasmas  

Science Journals Connector (OSTI)

......enhances the fusion penetration factor. In addition...nonthermal effect on the penetration factor is found to be...the fusion reaction rates of the - chain and the...effect on the fusion penetration factor decreases with...the energy generation rate (Choudhuri 2010) by......

Dai-Han Ki; Young-Dae Jung

2011-02-25T23:59:59.000Z

179

REALIZING TWO-FACTOR AUTHENTICATION FOR THE BITCOIN PROTOCOL  

E-Print Network [OSTI]

REALIZING TWO-FACTOR AUTHENTICATION FOR THE BITCOIN PROTOCOL Christopher Mann and Daniel Loebenberger 15 August 2014 Abstract. We show how to realize two-factor authentication for a Bitcoin wal- let a prototypic implementation of a Bitcoin wallet that offers both: two-factor authentication and verification

180

Nuclear Factor-?B and Tumor-Associated Macrophages  

Science Journals Connector (OSTI)

...but recent research has highlighted...and function. Nuclear factor-kappaB...transcriptional programs (20). NF-kappaB...transcriptional program expressed by...et al. p50 nuclear factor-kappaB...but recent research has highlighted...and function. Nuclear factor-kappaB...

Alessandra Mancino and Toby Lawrence

2010-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
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181

UPDATE AND ENHANCEMENT OF ODOT'S CRASH REDUCTION FACTORS  

E-Print Network [OSTI]

A Printed on recycled paper #12;ii SI* (MODERN METRIC) CONVERSION FACTORS APPROXIMATE CONVERSIONS TO SIUPDATE AND ENHANCEMENT OF ODOT'S CRASH REDUCTION FACTORS Final Report SPR 612 by Christopher M and Enhancement of ODOT's Crash Reduction Factors 6. Performing Organization Code 7. Author(s) Christopher M

Bertini, Robert L.

182

A Generalized Finite Source Calibration Factor: A Natural Improvement to the Finite Source Correction Factor for Uranium Holdup Measurements  

SciTech Connect (OSTI)

This paper proposes refinements to the finite source correction factor used in holdup measurements. Specifically it focuses on a more general method to estimate the average detector response for a finite source. This proposed method for the average detector response is based directly on the Generalized Geometry Holdup (GGH) assay method. First, the finite source correction factor as originally proposed is reviewed in this paper. Following this review the GGH assay method is described. Lastly, a new finite area calibration factor based on GGH is then proposed for finite point and line sources. As an alternative to the direct use of the finite arca calibration factor, finite source correction factors are also derived from this calibration factor. This new correction factor can be used in a manner similar to the finite source correction factor as currently implemented.

Gunn, C.A.; Oberer, R.B.; chiang, L.G.; Ceo, R.N.

2003-01-28T23:59:59.000Z

183

Voluntary Reporting of Greenhouse Gases Program - Electricity Factors  

U.S. Energy Information Administration (EIA) Indexed Site

Voluntary Reporting Program > Coefficients Voluntary Reporting Program > Coefficients Voluntary Reporting of Greenhouse Gases Program (Voluntary Reporting of Greenhouse Gases Program Fuel Carbon Dioxide Emission Coefficients) Voluntary Reporting of Greenhouse Gases Program Fuel Emission Coefficients Table 1: Carbon Dioxide Emission Factors for Stationary Combustion Table 2: Carbon Dioxide Emission Factors for Transportation Fuels Table 3: Generic Methane and Nitrous Oxide Emission Factors for Stationary Fuel Combustion Table 4: Specific Methane and Nitrous Oxide Emission Factors for Biogenic Fuel Sources Table 5: Methane and Nitrous Oxide Emissions Factors for Highway Vehicles Table 6: Methane and Nitrous Oxide Emission Factors for Alternative Fuel Vehicles Table 7: Methane and Nitrous Oxide Emission Factors for Non-Highway Mobile Combustion

184

Quantifier elimination for approximate Beals-Kartashova factorization  

E-Print Network [OSTI]

The only known constructive factorization algorithm for linear partial differential operators (LPDOs) is Beals-Kartashova (BK) factorization \\cite{bk2005}. One of the most interesting features of BK-factorization: at the beginning all the first-order factors are constructed and afterwards the factorization condition(s) should be checked. This leads to the important application area - namely, numerical simulations which could be simplified substantially if instead of computation with one LPDE of order $n$ we will be able to proceed computations with $n$ LPDEs all of order 1. In numerical simulations it is not necessary to fulfill factorization conditions exactly but with some given accuracy, which we call approximate factorization. The idea of the present paper is to look into the feasibility of solving problems of this kind using quantifier elinination by cylindrical algebraic decomposition.

Elena Kartashova; Scott McCallum

2007-01-07T23:59:59.000Z

185

Simple analytic model for astrophysical S factors  

SciTech Connect (OSTI)

We propose a physically transparent analytic model of astrophysical S factors as a function of a center-of-mass energy E of colliding nuclei (below and above the Coulomb barrier) for nonresonant fusion reactions. For any given reaction, the S(E) model contains four parameters [two of which approximate the barrier potential, U(r)]. They are easily interpolated along many reactions involving isotopes of the same elements; they give accurate practical expressions for S(E) with only several input parameters for many reactions. The model reproduces the suppression of S(E) at low energies (of astrophysical importance) due to the shape of the low-r wing of U(r). The model can be used to reconstruct U(r) from computed or measured S(E). For illustration, we parametrize our recent calculations of S(E) (using the Sao Paulo potential and the barrier penetration formalism) for 946 reactions involving stable and unstable isotopes of C, O, Ne, and Mg (with nine parameters for all reactions involving many isotopes of the same elements, e.g., C+O). In addition, we analyze astrophysically important {sup 12}C+{sup 12}C reaction, compare theoretical models with experimental data, and discuss the problem of interpolating reliably known S(E) values to low energies (E < or approx. 2-3 MeV).

Yakovlev, D. G.; Beard, M.; Gasques, L. R.; Wiescher, M. [Ioffe Physical Technical Institute, Poliekhnicheskaya 26, 194021 St. Petersburg (Russian Federation); Department of Physics and The Joint Institute for Nuclear Astrophysics, University of Notre Dame, Notre Dame, Indiana 46556 (United States); Laboratorio Pelletron, Instituto de Fisica da Universidade de Sao Paulo, 05315-970, Sao Paulo, SP (Brazil); Department of Physics and The Joint Institute for Nuclear Astrophysics, University of Notre Dame, Notre Dame, Indiana 46556 (United States)

2010-10-15T23:59:59.000Z

186

Growth factor parametrization and modified gravity  

SciTech Connect (OSTI)

The growth rate of matter perturbation and the expansion rate of the Universe can be used to distinguish modified gravity and dark energy models in explaining the cosmic acceleration. The growth rate is parametrized by the growth index {gamma}. We discuss the dependence of {gamma} on the matter energy density {omega} and its current value {omega}{sub 0} for a more accurate approximation of the growth factor. The observational data, including the data of the growth rate, are used to fit different models. The data strongly disfavor the Dvali-Gabadadze-Porrati model. For the dark energy model with a constant equation of state, we find that {omega}{sub 0}=0.27{+-}0.02 and w=-0.97{+-}0.09. For the {lambda}CDM model, we find that {gamma}=0.64{sub -0.15}{sup +0.17}. For the Dvali-Gabadadze-Porrati model, we find that {gamma}=0.55{sub -0.13}{sup +0.14}.

Gong Yungui [College of Mathematics and Physics, Chongqing University of Posts and Telecommunications, Chongqing 400065 (China)

2008-12-15T23:59:59.000Z

187

Factors affecting water quality in Cherokee Reservoir  

SciTech Connect (OSTI)

The purpose was to: (1) define reservoir problems related to water quality conditions; (2) identify the probable causes of these problems; and (3) recommend procedures for achieving needed reservoir water quality improvements. This report presents the project findings to date and suggests steps for upgrading the quality of Cherokee Reservoir. Section II presents background information on the characteristics of the basin, the reservoir, and the beneficial uses of the reservoir. Section III identifies the impacts of existing reservoir water quality on uses of the reservoir for water supply, fishery resources, recreation, and waste assimilation. Section IV presents an assessment of cause-effect relationships. The factors affecting water quality addressed in Section IV are: (1) reservoir thermal stratification and hydrodynamics; (2) dissolved oxygen depletion; (3) eutrophication; (4) toxic substances; and (5) reservoir fisheries. Section V presents a preliminary evaluation of alternatives for improving the quality of Cherokee Reservoir. Section VI presents preliminary conclusions and recommendations for developing and implementing a reservoir water quality management plan. 7 references, 22 figures, 21 tables.

Iwanski, M.L.; Higgins, J.M.; Kim, B.R.; Young, R.C.

1980-07-01T23:59:59.000Z

188

Review of critical factors affecting crude corrosivity  

SciTech Connect (OSTI)

Lower quality opportunity crudes are now processed in most refineries and the source of the crudes may vary daily. These feedstocks, if not properly handled, can result in reduction in service life of equipment as well as costly failure and downtime. Analytical tools are needed to predict their high temperature corrosivity toward distillation units. Threshold in total sulfur and total acid number (TAN) have been used for many years as rules of thumb for predicting crude corrosivity, However, it is now realized that they are not accurate in their predictive ability. Crudes with similar composition and comparable with respect to process considerations have been found to be entirely different in their impact on corrosion. Naphthenic acid content, sulfur content, velocity, temperature, and materials of construction are the main factors affecting the corrosion process, Despite progress made in elucidating the role of the different parameters on the crude corrosivity process, the main problem is in calculating their combined effect, especially when the corroding stream is such a complex mixture. The TAN is usually related directly to naphthenic acid content. However, discrepancies between analytical methods and interference of numerous components of the crude itself lead to unreliable reported content of naphthenic acid. The sulfur compounds, with respect to corrosivity, appear to relate more to their decomposition at elevated temperature to form hydrogen sulfide than to their total content in crude. This paper reviews the present situation regarding crude corrosivity in distillation units, with the aim of indicating the extent of available information, and areas where further research is necessary.

Tebbal, S.; Kane, R.D. [CLI International, Inc., Houston, TX (United States)

1996-08-01T23:59:59.000Z

189

Factores determinantes de la resistencia ósea  

Science Journals Connector (OSTI)

Hoy en día se considera que la resistencia ósea, entendiendo como tal la fuerza necesaria para desencadenar el fracaso biomecánico de un hueso, es el resultado de la integración de dos variables, la cantidad y la calidad ósea, factores dependientes a su vez del remodelado óseo. Mientras la cantidad de hueso depende directamente de su densidad mineral, la calidad del mismo depende de variables tales como la estructuración jerárquica y la composición química del material que lo forma. Cada uno de estos determinantes primarios de la resistencia ósea comprende a su vez una serie de determinantes secundarios, responsables directos de alguna de las propiedades biomecánicas óseas específicas. En conjunto, determinantes primarios y secundarios ayudan a establecer un hueso sano, resistente y biomecánicamente competente, mientras que sus alteraciones son responsables del desarrollo de osteopatías fragilizantes, procesos fisiopatológicos que incrementan el riesgo de fractura. Nowadays it is considered that bone strength, understanding as so the necessary load to cause a biomechanical failure of bone, it is the result of the integration of two variables, bone mass and bone quality, both related with bone remodelling. While bone mass depends directly on its mineral density, quality of bone depends on variables such as the hierarchic structure and chemical composition of its material. Each one of these bone strength primary determinants include a serial of secondary ones related with some of the specific biomechanical properties of bone. Altogether, primary and secondary determinants, help to establish a healthy, resistant and mechanical competent bone, whereas their alterations produce weakening osteopathies that increase fracture risk.

J.R. Caeiro Rey; S. Dapía Robleda; E. Vaquero Cervino; L. Roca Ruiz; M.A. Blanco Ramos

2005-01-01T23:59:59.000Z

190

Disruptive Event Biosphere Doser Conversion Factor Analysis  

SciTech Connect (OSTI)

The purpose of this report was to document the process leading to, and the results of, development of radionuclide-, exposure scenario-, and ash thickness-specific Biosphere Dose Conversion Factors (BDCFs) for the postulated postclosure extrusive igneous event (volcanic eruption) at Yucca Mountain. BDCF calculations were done for seventeen radionuclides. The selection of radionuclides included those that may be significant dose contributors during the compliance period of up to 10,000 years, as well as radionuclides of importance for up to 1 million years postclosure. The approach documented in this report takes into account human exposure during three different phases at the time of, and after, volcanic eruption. Calculations of disruptive event BDCFs used the GENII-S computer code in a series of probabilistic realizations to propagate the uncertainties of input parameters into the output. The pathway analysis included consideration of different exposure pathway's contribution to the BDCFs. BDCFs for volcanic eruption, when combined with the concentration of radioactivity deposited by eruption on the soil surface, allow calculation of potential radiation doses to the receptor of interest. Calculation of radioactivity deposition is outside the scope of this report and so is the transport of contaminated ash from the volcano to the location of the receptor. The integration of the biosphere modeling results (BDCFs) with the outcomes of the other component models is accomplished in the Total System Performance Assessment (TSPA), in which doses are calculated to the receptor of interest from radionuclides postulated to be released to the environment from the potential repository at Yucca Mountain.

M. Wasiolek

2000-12-28T23:59:59.000Z

191

Nominal Performance Biosphere Dose Conversion Factor Analysis  

SciTech Connect (OSTI)

The purpose of this report was to document the process leading to development of the Biosphere Dose Conversion Factors (BDCFs) for the postclosure nominal performance of the potential repository at Yucca Mountain. BDCF calculations concerned twenty-four radionuclides. This selection included sixteen radionuclides that may be significant nominal performance dose contributors during the compliance period of up to 10,000 years, five additional radionuclides of importance for up to 1 million years postclosure, and three relatively short-lived radionuclides important for the human intrusion scenario. Consideration of radionuclide buildup in soil caused by previous irrigation with contaminated groundwater was taken into account in the BDCF development. The effect of climate evolution, from the current arid conditions to a wetter and cooler climate, on the BDCF values was evaluated. The analysis included consideration of different exposure pathway's contribution to the BDCFs. Calculations of nominal performance BDCFs used the GENII-S computer code in a series of probabilistic realizations to propagate the uncertainties of input parameters into the output. BDCFs for the nominal performance, when combined with the concentrations of radionuclides in groundwater allow calculation of potential radiation doses to the receptor of interest. Calculated estimates of radionuclide concentration in groundwater result from the saturated zone modeling. The integration of the biosphere modeling results (BDCFs) with the outcomes of the other component models is accomplished in the Total System Performance Assessment (TSPA) to calculate doses to the receptor of interest from radionuclides postulated to be released to the environment from the potential repository at Yucca Mountain.

Wasiolek, Maryla A.

2000-12-21T23:59:59.000Z

192

Development of the Electricity Carbon Emission Factors for Russia | Open  

Open Energy Info (EERE)

the Electricity Carbon Emission Factors for Russia the Electricity Carbon Emission Factors for Russia Jump to: navigation, search Name Development of the Electricity Carbon Emission Factors for Russia Agency/Company /Organization European Bank for Reconstruction and Development Sector Energy Focus Area Renewable Energy Topics GHG inventory Resource Type Publications Website http://www.lahmeyer.de/fileadm Country Russia Eastern Europe References Development of the Electricity Carbon Emission Factors for Russia[1] References ↑ "Development of the Electricity Carbon Emission Factors for Russia" Retrieved from "http://en.openei.org/w/index.php?title=Development_of_the_Electricity_Carbon_Emission_Factors_for_Russia&oldid=383164" Category: Programs What links here Related changes Special pages

193

Dose factor entry and display tool for BNCT radiotherapy  

DOE Patents [OSTI]

A system for use in Boron Neutron Capture Therapy (BNCT) radiotherapy planning where a biological distribution is calculated using a combination of conversion factors and a previously calculated physical distribution. Conversion factors are presented in a graphical spreadsheet so that a planner can easily view and modify the conversion factors. For radiotherapy in multi-component modalities, such as Fast-Neutron and BNCT, it is necessary to combine each conversion factor component to form an effective dose which is used in radiotherapy planning and evaluation. The Dose Factor Entry and Display System is designed to facilitate planner entry of appropriate conversion factors in a straightforward manner for each component. The effective isodose is then immediately computed and displayed over the appropriate background (e.g. digitized image).

Wessol, Daniel E. (Bozeman, MT); Wheeler, Floyd J. (Idaho Falls, ID); Cook, Jeremy L. (Greeley, CO)

1999-01-01T23:59:59.000Z

194

Preformation factor for ? particles in isotopes near N=Z  

Science Journals Connector (OSTI)

Combining the experimental ?-decay energies and half-lives, the ?-particle preformation factors for the nuclei around N=Z=50 are extracted within the generalized liquid drop model. It is found that the average order of magnitude of the preformation factor is 1.0×10?1. In addition, a detailed discussion on the odd-even effect of the preformation factor is performed.

Y. Z. Wang; J. Z. Gu; Z. Y. Hou

2014-04-02T23:59:59.000Z

195

Optimization Online - A Factorization with Update Procedures for a ...  

E-Print Network [OSTI]

Nov 11, 2009 ... A Factorization with Update Procedures for a KKT Matrix Arising in Direct Optimal Control. Christian Kirches (christian.kirches ***at*** ...

Christian Kirches

2009-11-11T23:59:59.000Z

196

QCD Factorization for heavy quarkonium production at collider energies  

E-Print Network [OSTI]

In this talk, I briefly review several models of the heavy quarkonium production at collider energies, and discuss the status of QCD factorization for these production models.

Jian-Wei Qiu

2006-10-31T23:59:59.000Z

197

Parametric Analysis of the Factors Controlling the Costs of Sedimentar...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

* 1:1 * 2:1 PARAMETRIC ANALYSIS OF THE FACTORS CONTROLLING THE COSTS OF SEDIMENTARY GEOTHERMAL SYSTEMS - PRELIMINARY RESULTS Chad Augustine, National Renewable Energy Laboratory,...

198

EPA - Rainfall Erosivity Factor Calculator webpage | Open Energy...  

Open Energy Info (EERE)

webpage Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: EPA - Rainfall Erosivity Factor Calculator webpage Author Environmental Protection Agency...

199

Factors Affecting HCCI Combustion Phasing for Fuels with Single...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Affecting HCCI Combustion Phasing for Fuels with Single- and Dual-Stage Chemistry Factors Affecting HCCI Combustion Phasing for Fuels with Single- and Dual-Stage Chemistry 2004...

200

IDENTIFICATION OF FACTORS RELATED TO MOTORCYCLE FATAL INJURIES IN OHIO.  

E-Print Network [OSTI]

??Ohio crash data for 2003-2007 were used to investigate the odds of a motorcyclist being fatally injured in a crash and the risk factors involved.… (more)

Indupuru, Vamsi K.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Analysis of Factors Affecting Motorcycle-Motor Vehicle Crash Characteristics.  

E-Print Network [OSTI]

??As everybody knows, there are many traffic crashes happening every day. Traffic crashes may result in injury, death, and property damage. A number of factors… (more)

Zhu, Di

2014-01-01T23:59:59.000Z

202

Application for Presidential Permit OE Docket No. PP-299 Sea...  

Broader source: Energy.gov (indexed) [DOE]

99 Sea Breeze Pacific Regional Transmission System, INC Application for Presidential Permit OE Docket No. PP-299 Sea Breeze Pacific Regional Transmission System, INC TBDApplication...

203

Gray, W. D. (2003). Cognitive factors in homeland defense: The role of human factors in the novel intelligence from massive data (NIMD) project, Human Factors and Ergonomics Society (pp. 1017-1018). Santa Monica, CA: Human  

E-Print Network [OSTI]

intelligence from massive data (NIMD) project, Human Factors and Ergonomics Society (pp. 1017-1018). Santa Monica, CA: Human Factors and Ergonomics Society. COGNITIVE FACTORS IN HOMELAND DEFENSE: THE ROLE

Gray, Wayne

204

Multiple Factors: Discussion of Statistical and Epidemiologic Aspects  

Science Journals Connector (OSTI)

...the detection and demarcation of large effects, and investi gators have been content to look for them one at a time. Only when...ing joint effects of 2 or more factors to which the investi gator would not ultimately be led via investigation of either factor...

William Haenszel

1965-09-01T23:59:59.000Z

205

Diagnostic relapse in Borderline Personality Disorder: risk and protective factors  

E-Print Network [OSTI]

DIAGNOSTIC RELAPSE IN BORDERLINE PERSONALITY DISORDER: RISK AND PROTECTIVE FACTORS A Dissertation by BRIAN DAVID QUIGLEY Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of DOCTOR OF PHILOSOPHY August 2003 Major Subject: Psychology DIAGNOSTIC RELAPSE IN BORDERLINE PERSONALITY DISORDER: RISK AND PROTECTIVE FACTORS A Dissertation by BRIAN DAVID QUIGLEY...

Quigley, Brian David

2004-11-15T23:59:59.000Z

206

INNOVATION AS A FACTOR (DETERMINANT) FOR SUSTAINABLE DEVELOPMENT  

E-Print Network [OSTI]

INNOVATION AS A FACTOR (DETERMINANT) FOR SUSTAINABLE DEVELOPMENT OF SMES IN THE KNOWLEDGE, e-mail: stryjski@post.pl, e-mail: j.patalas@iizp.uz.zgora.pl, 3 Brandenburg University of Technology development of SMES are presented. Consequently, the innovation in SMEs as the one of the factor

207

Agronomic and environmental factors influence weed composition and canola competitiveness  

E-Print Network [OSTI]

Agronomic and environmental factors influence weed composition and canola competitiveness. C. 2006. Agronomic and environmental factors influence weed composition and canola competitiveness in southern Manitoba. Can. J. Plant Sci. 86: 591­599. Canola yield in Manitoba has reached a plateau in recent

Kenkel, Norm

208

Multi-Factor Energy Price Models Exotic Derivatives Pricing  

E-Print Network [OSTI]

of Statistics University of Toronto c Copyright by Samuel Hikspoors 2008 #12;Multi-Factor Energy Price Models of Toronto, May 2008 Abstract The high pace at which many of the world's energy markets have gradually beenMulti-Factor Energy Price Models and Exotic Derivatives Pricing by Samuel Hikspoors A thesis

Jaimungal, Sebastian

209

Heavy quark impact factor for the LHC phenomenology  

E-Print Network [OSTI]

We comment on the calculation of the finite part of the heavy quark impact factor at next-to-leading logarithmic (NLx) accuracy. The result is presented in a form suitable for phenomenological studies such as the calculation of the cross-section for single heavy quark production at the LHC within the kT-factorization scheme.

Grigorios Chachamis; Michal Deak; German Rodrigo

2013-10-29T23:59:59.000Z

210

What do the scientists think about the impact factor?  

Science Journals Connector (OSTI)

The impact factor is a highly polemic metric. It was designed to help scientists in searching for bibliographic references for their own works, enabling communication among researchers and helping librarians in deciding which journal they should purchase. ... Keywords: Impact factor, Journal Citation Reports, Quality, Web of Science

Gualberto Buela-Casal; Izabela Zych

2012-08-01T23:59:59.000Z

211

A clinical study of risk factors related to malware infections  

Science Journals Connector (OSTI)

The success of malicious software (malware) depends upon both technical and human factors. The most security conscious users are vulnerable to zero-day exploits; the best security mechanisms can be circumvented by poor user choices. While there has been ... Keywords: anti-virus evaluation, clinical trial, field study, malware infection, risk factors, user behavior

Fanny Lalonde Levesque; Jude Nsiempba; José M. Fernandez; Sonia Chiasson; Anil Somayaji

2013-11-01T23:59:59.000Z

212

HighPerformance Library Software for QR Factorization  

E-Print Network [OSTI]

factorization. Using recursion leads us to a natural way to choose the k­way aggregating Householder transform604e node. Keywords: Serial and parallel library software, QR factorization, recur­ sion, register utilize the memory hierarchy is the key to high performance on uniprocessors as well as on SMP systems

Elmroth, Erik

213

Methods to infer transmission risk factors in complex outbreak data  

Science Journals Connector (OSTI)

...to infer transmission risk factors in complex outbreak...update may affect the risk of infection of all other...This assumption seems acceptable for a relatively wide...longer for accuracy to be acceptable (figure 4). When 25...infectious diseases and the risk factors affecting transmission...

2012-01-01T23:59:59.000Z

214

Appendix II. Calculation of Slope Factors for Naturally Occurring Radionuclides  

E-Print Network [OSTI]

Appendix II. Calculation of Slope Factors for Naturally Occurring Radionuclides In developing calculates the slope factors for the naturally occurring radionuclides under consideration. The Radionuclide products with half-lives of less than 6 months). As explained below, naturally occurring radionuclides

215

Some Remarks on Factor Graphs Hans-Andrea Loeliger  

E-Print Network [OSTI]

be used and combined in factor graphs. Keywords: factor graphs, turbo signal processing, gradient methodsA(x)fB(x)fC(x). (2) We expand this into f(x) = fA(x)fB(x )fC(x )(x - x )(x - x ), (3) #12;fA x = x fC fB x Figure 2

Loeliger, Hans-Andrea

216

Wildland fire emissions, carbon, and climate: Emission factors Shawn Urbanski  

E-Print Network [OSTI]

Wildland fire emissions, carbon, and climate: Emission factors Shawn Urbanski Missoula Fire burning Greenhouse gases Emission factors a b s t r a c t While the vast majority of carbon emitted wildland fire greenhouse gas and aerosol (organic aerosol (OA) and black carbon (BC)) emission inventories

217

NREL: Energy Analysis - Utility-Scale Energy Technology Capacity Factors  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Utility-Scale Energy Technology Capacity Factors Utility-Scale Energy Technology Capacity Factors This chart indicates the range of recent capacity factor estimates for utility-scale renewable energy technologies. The dots indicate the average, and the vertical lines represent the range: Average +1 standard deviation and average -1 standard deviation. If you are seeking utility-scale technology cost and performance estimates, please visit the Transparent Cost Database website for NREL's information regarding vehicles, biofuels, and electricity generation. Capital Cost (September 2013 Update) Operations & Maintenance (September 2013 Update) Utility-Scale Capacity Factors Useful Life Land Use by System Technology LCOE Calculator Capacity factor for energy technologies. For more information, please download supporting data for energy technology costs.

218

Operational water consumption and withdrawal factors for electricity  

Open Energy Info (EERE)

4047 4047 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142254047 Varnish cache server Operational water consumption and withdrawal factors for electricity generating technologies Dataset Summary Description This dataset is from the report Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions. The water factors presented may be useful in modeling and policy analyses where reliable power plant level data are not available.

219

Analysis of IFR driver fuel hot channel factors  

SciTech Connect (OSTI)

Thermal-hydraulic uncertainty factors for Integral Fast Reactor (IFR) driver fuels have been determined based primarily on the database obtained from the predecessor fuels used in the IFR prototype, Experimental Breeder Reactor II. The uncertainty factors were applied to the channel factors (HCFs) analyses to obtain separate overall HCFs for fuel and cladding for steady-state analyses. A ``semistatistical horizontal method`` was used in the HCFs analyses. The uncertainty factor of the fuel thermal conductivity dominates the effects considered in the HCFs analysis; the uncertainty in fuel thermal conductivity will be reduced as more data are obtained to expand the currently limited database for the IFR ternary metal fuel (U-20Pu-10Zr). A set of uncertainty factors to be used for transient analyses has also been derived.

Ku, J.Y.; Chang, L.K.; Mohr, D.

1994-03-01T23:59:59.000Z

220

On the Functional Relation Between Quality Factor and Fractional Bandwidth  

E-Print Network [OSTI]

The functional relation between the fractional band-width and the quality factor of a radiating system is investigated in this note. Several widely used definitions of the quality factor are compared on two examples of RLC circuits that serve as a simplified model of a single resonant antenna tuned to its resonance. It is demonstrated that for a first-order system, only the quality factor based on differentiation of input impedance has unique proportionality to the fractional bandwidth, whereas e.g. the classical definition of the quality factor, i. e. the ratio of the stored energy to the lost energy per one cycle, is not uniquely proportional to the fractional bandwidth. In addition, it is shown that for higher-order systems the quality factor based on differentiation of the input impedance ceases to be uniquely related to the fractional bandwidth.

Capek, Miloslav; Hazdra, Pavel

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

The effects of growth factors on testicular germ cell apoptosis in the stallion  

E-Print Network [OSTI]

recombinant growth factors, stem cell factor (SCF), leukemia inhibiting factor (LIF), granulocyte macrophage-colony stimulating factor (GM-CSF), and one hormone, estradiol (E?), alone or in combination, to prevent apoptosis of germ cells in short-term equine...

Donnelly, Casey Leanne

2012-06-07T23:59:59.000Z

222

Selective Release of Tumor Necrosis Factor Binding Protein II by Malignant Human Epidermal Cells Reveals Protection from Tumor Necrosis Factor ?-mediated Cytotoxicity  

Science Journals Connector (OSTI)

...tumor necrosis factor receptor gene product can shed a naturally occuring tumor necrosis factor inhibitor. Proc. NaILAced...by tumor necrosis factor alpha and by ultraviolet B radiation. J. Clin. Invest., 92: 462 "470,1993. 21...

Peter Neuner; Gabriele Klosner; Mojgan Pourmojib; Franz Trautinger; and Robert Knobler

1994-11-15T23:59:59.000Z

223

PHARMACOLOGIC AND TRANSGENIC ACTIVATION OF NUCLEAR FACTOR-ERYTHROID 2-RELATED FACTOR 2 (NRF2) ALTERS KINETICS AND TOXICODYNAMICS OF XENOBIOTICS  

E-Print Network [OSTI]

Nuclear factor erythroid 2-related factor 2 (Nrf2) is a transcription factor, which, upon translocation into the nucleus, is capable of inducing a variety of cytoprotective genes, such as NAD(P)H:quinone oxidoreductase 1 ...

Reisman, Scott Aaron

2008-01-01T23:59:59.000Z

224

Greybody factor for D3-branes in a B field  

Science Journals Connector (OSTI)

We calculate the effect of noncommutative spacetime on the greybody factor on the supergravity side. For this purpose we introduce a system of D3-branes with a constant NS B field along their world volume directions (x2,x3). Considering the propagation of a minimally coupled scalar with nonzero momentum along (x2,x3), we derive an exact form of the greybody factor in the B field. It turns out that ?lB?0>?lB=0. This means that the presence of the B field (the noncommutativity) suppresses the potential barrier surrounding the black hole. As a result, the greybody factor increases.

Y. S. Myung; Gungwon Kang; H. W. Lee

2000-07-24T23:59:59.000Z

225

Purcell factor of Mie resonators featuring electric and magnetic modes  

E-Print Network [OSTI]

We present a modal approach to compute the Purcell factor in Mie resonators exhibiting both electric and magnetic resonances. The analytic expressions of the normal modes are used to calculate the effective volumes. We show that important features of the effective volume can be predicted thanks to the translation-addition coefficients of a displaced dipole. Using our formalism, it is easy to see that, in general, the Purcell factor of Mie resonators is not dominated by a single mode, but rather by a large superposition. Finally we consider a silicon resonator homogeneously doped with electric dipolar emitters, and we show that the average electric Purcell factor dominates over the magnetic one.

Zambrana-Puyalto, Xavier

2015-01-01T23:59:59.000Z

226

A supernodal Cholesky factorization algorithms for shared-memory multiprocessors  

SciTech Connect (OSTI)

This paper presents a parallel sparse Cholesky factorization algorithm for shared-memory MIMD multiprocessors. The algorithm is particularly well suited for vector supercomputers with multiple processors, such as the Cray Y-MP. The new algorithm is a straightforward parallelization of the left-looking supernodal sparse Cholesky factorization algorithm. Like its sequential predecessor, it improves performance by reducing indirect addressing and memory traffic. Experimental results on a Cray Y-MP demonstrate the effectiveness of the new algorithm. On eight processors of a Cray Y-MP, the new routine performs the factorization at rates exceeding one Gflop for several test problems from the Harwell-Boeing sparse matrix collection.

Ng, Esmond; Peyton, B.W. (Oak Ridge National Lab., TN (United States))

1993-07-01T23:59:59.000Z

227

Model-Independent Semileptonic Form Factors Using Dispersion Relations  

E-Print Network [OSTI]

We present a method for parametrizing heavy meson semileptonic form factors using dispersion relations, and from it produce a two-parameter description of the B -> B elastic form factor. We use heavy quark symmetry to relate this function to B -> D* l nu form factors, and extract |V_cb|=0.0355^{+0.0029}_{-0.0025} from experimental data with a least squares fit. Our method eliminates model-dependent uncertainties inherent in choosing a parametrization for the extrapolation of the differential decay rate to threshold.

C. G. Boyd; B. Grinstein; R. Lebed

1995-08-04T23:59:59.000Z

228

Use of Personal-Indoor-Outdoor Sulfur Concentrations to Estimate the Infiltration Factor and Outdoor Exposure Factor for Individual Homes and Persons  

Science Journals Connector (OSTI)

Use of Personal-Indoor-Outdoor Sulfur Concentrations to Estimate the Infiltration Factor and Outdoor Exposure Factor for Individual Homes and Persons ...

Lance Wallace; Ron Williams:?

2005-05-12T23:59:59.000Z

229

Low dose ionizing radiation induces tumor growth promoting factors in  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ionizing radiation induces tumor growth promoting factors in ionizing radiation induces tumor growth promoting factors in stress-induced premature senescent fibroblasts David Boothman University of Texas Southwestern Medical Center at Dallas Abstract Recent evidence suggest that the causes of cancer development are not limited to mutations within cancer cells, but also involve in alterations of cancer microenvironment. Senescent cells are irreversibly growth arrested, but remain metabolically active. Senescent cells, especially senescent fibroblasts in the stroma may provide a beneficial environment for tumor growth through secretion of certain factors. Accumulation of senescent cells in the stroma of patients repeatedly exposed to low doses of IR or low dose rates of IR, could be an important factor, causing alteration of the microenvironment that ultimately benefits tumor

230

Factors Controlling The Geochemical Evolution Of Fumarolic Encrustations,  

Open Energy Info (EERE)

Controlling The Geochemical Evolution Of Fumarolic Encrustations, Controlling The Geochemical Evolution Of Fumarolic Encrustations, Valley Of Ten Thousand Smokes, Alaska Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Factors Controlling The Geochemical Evolution Of Fumarolic Encrustations, Valley Of Ten Thousand Smokes, Alaska Details Activities (3) Areas (1) Regions (0) Abstract: Factor and canonical correlation analysis of geochemical data from eight fossil fumaroles suggest that six major factors controlled the formation and evolution of fumarolic encrustations on the 1912 ash-flow sheet in the Valley of Ten Thousand Smokes (VTTS). The six-factor solution model explains a large proportion (low of 74% for Ni to high of 99% for Si) of the individual element data variance. Although the primary fumarolic

231

New England Wind Forum: Determining Factors Influencing Wind Economics in  

Wind Powering America (EERE)

Determining Factors Influencing Wind Economics in New England Determining Factors Influencing Wind Economics in New England Figure 1: Installed Wind Project Costs by Region: 2003 through 2006 Projects Only New England's high land values, smaller land parcels, varied terrain, and more moderate wind speeds make for projects of smaller scale and higher unit cost than those likely to be built in Texas or the Great Plains states. Click on the graph to view a larger version. New England's high land values, smaller land parcels, varied terrain, and more moderate wind speeds make for projects of smaller scale and higher unit cost than those likely to be built in Texas or the Great Plains states. View a larger version of the graph. Figure 2: 2006 Project Capacity Factors by Region: 2002 through 2005 Projects Only The chart depicts project capacity factor by region. Click on the graph to view a larger version.

232

Analysis Of Factors Affecting Natural Source Slf Electromagnetic  

Open Energy Info (EERE)

Factors Affecting Natural Source Slf Electromagnetic Factors Affecting Natural Source Slf Electromagnetic Exploration At Geothermal Wells Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Analysis Of Factors Affecting Natural Source Slf Electromagnetic Exploration At Geothermal Wells Details Activities (0) Areas (0) Regions (0) Abstract: The Super Low Frequency (SLF) electromagnetic exploration was performed by using a nature source SLF electromagnetic detector at two geothermal wells in Peking University. The data of the SLF electromagnetic exploration at well JR-119 and JR-168 were obtained with the observation of continued five days and four times per day at well JR-119 and of one day at well JR-168. Based on these data, the influencing factors of the SI-F electromagnetic exploration were analyzed, which included the relationship

233

Field Derived Emission Factors For Formaldehyde and other Volatile Organic  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Field Derived Emission Factors For Formaldehyde and other Volatile Organic Field Derived Emission Factors For Formaldehyde and other Volatile Organic Compounds in FEMA Temporary Housing Units Title Field Derived Emission Factors For Formaldehyde and other Volatile Organic Compounds in FEMA Temporary Housing Units Publication Type Report LBNL Report Number LBNL-4083E Year of Publication 2010 Authors Parthasarathy, Srinandini, Randy L. Maddalena, Marion L. Russell, and Michael G. Apte Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract Sixteen previously occupied temporary housing units (THUs) were studied to assess emissions of volatile organic compounds. The whole trailer emission factors were evaluated for 36 VOCs including formaldehyde. Indoor sampling was carried out in the THUs located in Purvis staging yard in Mississippi, USA. Indoor temperature and relative humidity (RH) were also measured in all the trailers during sampling. Indoor temperatures were varied (increased or decreased) in a selection of THUs using the

234

Hourly Energy Emission Factors for Electricity Generation in the United  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United Hourly Energy Emission Factors for Electricity Generation in the United States Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the eGRID subregions in the continental United States. These factors took into account electricity imports and exports

235

Factors Impacting Gasoline Prices and Areas for Further Study  

Gasoline and Diesel Fuel Update (EIA)

Factors Impacting Gasoline Prices and Areas for Further Study Factors Impacting Gasoline Prices and Areas for Further Study 8/10/01 Click here to start Table of Contents Factors Impacting Gasoline Prices and Areas for Further Study Different Factors Impact Different Aspects of Gasoline Price Correlation of Price to Inventory Levels Crude Prices Strongly Related to OECD.Crude & Product Inventories Gasoline Prices Also Influenced by Regional Gasoline Product Markets Tight Product Balance Pushes Up Product Spread (Spot Product - Crude Price) Retail Price Changes Lag Spot Prices Cumulative Gasoline Price Pass-through Illustration of How Lag Effect Dampens and Slows Retail Price Changes from Wholesale Recent Weekly Retail Price Changes Have Been as Expected Summary: Most Gasoline Price Movement Can Be Explained As Rational Market Behavior Author: Joanne Shore

236

Limiting Factors for Convective Cloud Top Height in the Tropics  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Limiting Factors for Convective Cloud Top Limiting Factors for Convective Cloud Top Height in the Tropics M. P. Jensen and A. D. Del Genio National Aeronautics and Space Administration Goddard Institute for Space Studies Columbia University New York, New York Introduction Populations of tropical convective clouds are mainly comprised of three types: shallow trade cumulus, mid-level cumulus congestus and deep convective clouds (Johnson et al. 1999). Each of these cloud types has different impacts on the local radiation and water budgets. For climate model applications it is therefore important to understand the factors which determine the type of convective cloud that will occur. In this study, we concentrate on describing the factors that limit the cloud-top heights of mid-

237

Recommended U-factors for swinging, overhead, and revolving doors  

SciTech Connect (OSTI)

Doors are often an overlooked component in the thermal integrity of the building envelope. Although swinging doors represent a small portion of the shell in residential buildings, their U-factor is usually many times higher than those of walls or ceilings. In some commercial buildings, loading (overhead) doors represent a significant area of high heat loss. Contrary to common perception, there is a wide range in the design, type, and therefore thermal performance of doors. The 1997 ASHRAE Handbook of Fundamentals will contain expanded tables of door U-factors to account for these product variations. This paper presents the results of detailed computer simulations of door U-factors. Recommended U-factors for glazed and unglazed residential and commercial swinging doors and commercial/industrial overhead and revolving doors are presented.

Carpenter, S.C. [Enermodal Engineering Ltd., Waterloo, Ontario (Canada); Hogan, J. [Seattle Dept. of Construction and Land Use, WA (United States)

1996-11-01T23:59:59.000Z

238

Factorization of the Ashikhmin BRDF for real-time rendering  

Science Journals Connector (OSTI)

Ashikhmin and Shirley have proposed an anisotropic BRDF model that is physically plausible and has intuitive parameters. We present an analytical factorization of the Ashikhmin BRDF that is suitable for real-time implementation on all graphics accelerators, ...

Mauro Steigleder; Michael D. McCool

2002-12-01T23:59:59.000Z

239

The Effects of Multiple Green Factors on Condominium Prices  

Science Journals Connector (OSTI)

This paper analyzes the transaction prices of green buildings assessed on the basis of multiple green factors. Our theoretical model demonstrates that the initial green premium can be negative but becomes positiv...

Jiro Yoshida; Ayako Sugiura

2014-04-01T23:59:59.000Z

240

Key Factors in Displacement Ventilation Systems for Better IAQ  

E-Print Network [OSTI]

ICEBO2006, Shenzhen, China Maximize Comfort: Temperature, Humidity and IAQ Vol.I-7-2 Key Factors in Displacement Ventilation Systems for Better IAQ1 Xiaotong Wang Junjun Chen Yike Li Zhiwei Wang Associate Professor...

Wang, X.; Chen, J.; Li, Y.; Wang, Z.

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Factors influencing German private equity investment in US real estate  

E-Print Network [OSTI]

This thesis identifies and ranks in order of importance the key factors influencing high net-worth German investors' decisions about US real estate private equity investments. Through research and in-depth interviews with ...

Paelmo, Kay L. (Kay Lee), 1977-

2003-01-01T23:59:59.000Z

242

Epidemiology, risk factors, and lifestyle modifications for gout  

Science Journals Connector (OSTI)

Gout affects more than 1% of adults in ... data support an increase in the prevalence of gout that is potentially attributable to recent shifts ... nonmodifiable and modifiable risk factors for hyperuricemia and

Kenneth G Saag; Hyon Choi

2006-04-01T23:59:59.000Z

243

Two-Factor Identify Proofing Process | Department of Energy  

Energy Savers [EERE]

Two-Factor Authentication UAA form to the PKI Support Team at 301-903-2172. This fax machine is in a limited access area and no cover sheet is required. A common problem...

244

Campus Environmental Factors Influencing Student Leadership Development and Civic Engagement  

E-Print Network [OSTI]

leadership skills? How do college students learn and become civically engaged during their collegiate years? The purpose of this study was to identify campus environmental factors perceived to influence student leadership development and civic engagement...

Boren, Laura

2012-02-14T23:59:59.000Z

245

Geography: Critical Factors in the Analysis of Complex Systems  

E-Print Network [OSTI]

Geography is a disciple of discovery and exploration. From earliest human endeavor until today, it remains the key to understanding human interaction with the landscape. A conceptual framework of geographic factors provides ...

Welch, Ivan

2012-05-31T23:59:59.000Z

246

Factors influencing the efficiency of arsenic extraction by phosphate  

E-Print Network [OSTI]

, phosphate concentration, principal counterion, reaction pH, and reaction time. The extraction efficiency was impacted by the influence of these individual factors on reaction kinetics and accessibility of arsenic adsorption sites for ligand exchange...

Yean, Su Jin

2005-11-01T23:59:59.000Z

247

Flavor decomposition of the elastic nucleon electromagnetic form factors  

SciTech Connect (OSTI)

The u- and d-quark contributions to the elastic nucleon electromagnetic form factors have been determined using experimental data on GEn , GMn , GpE , and GpM . Such a flavor separation of the form factors became possible up to 3.4 GeV2 with recent data on GEn from Hall A at JLab. At a negative four-momentum transfer squared Q2 above 1 GeV2, for both the u- and d-quark components, the ratio of the Pauli form factor to the Dirac form factor, F2/F1, was found to be almost constant, and for each of F2 and F1 individually, the d-quark component drops continuously with increasing Q2.

C.D. Cates, C.W. Jager, S. Riordan, B. Wojtsekhowski

2011-06-01T23:59:59.000Z

248

Characterizing and engineering antibodies against the epidermal growth factor receptor  

E-Print Network [OSTI]

Epidermal growth factor receptor (EGFR) signaling leads to cellular proliferation and migration, and thus EGFR dysregulation can significantly contribute to the survival of tumor cells. Aberrant EGFR signaling due to ...

Chao, Ginger

2008-01-01T23:59:59.000Z

249

Debye-Waller Factor in Mössbauer Interference Experiments  

Science Journals Connector (OSTI)

A simple calculation is presented of the effects of lattice dynamics on interference between Mössbauer processes and corresponding atomic processes, i.e., between Mössbauer and Rayleigh scattering, or between internal conversion of Mössbauer radiation and the photoelectric effect. When the energy of the emitted ? ray or electron is not measured, it is necessary to sum over all possible final states of the lattice. The interference contribution is found to be attenuated by the same "Debye-Waller" factor as the ordinary Mössbauer contribution, depending only upon the momentum of the incident ? ray. If the energy of the emitted ? ray is measured (e.g., by a Bragg scattering experiment), the atomic contribution is attenuated by the usual x-ray Debye-Waller factor, depending upon the momentum transfer, the Mössbauer contribution by the square of the usual Mössbauer factor, and the interference term by the geometric mean of the atomic and Mössbauer factors.

H. J. Lipkin

1961-07-01T23:59:59.000Z

250

Biological Factors in Treatment of Raw Sewage in Artificial Ponds  

Science Journals Connector (OSTI)

be improved. Accordingly ... Various factors, such as loading, solar ..... example, follows changes in air temperature .... In these observations ice quality appeared ... of solar energy by aquatic organisms. Problems in. Lake Biology;. A.A.A.S..

1999-12-13T23:59:59.000Z

251

Mechanical Factors in the Excitation of Clupeid Lateral Lines  

Science Journals Connector (OSTI)

...Factors in the Excitation of Clupeid Lateral Lines E. J. Denton John Gray The excitation of lateral line sense organs (neuromasts) might be expected...between the liquid inside the main lateral line canals (the ones that contain the neuromasts...

1983-01-01T23:59:59.000Z

252

INTRODUCTION Embryonic development is sensitive to many factors, including  

E-Print Network [OSTI]

, mothers can attempt to maintain their developing embryos at an optimal temperature, and thus The Journal RESEARCH ARTICLE Maternal influences on early development: preferred temperature prior to oviposition1346 INTRODUCTION Embryonic development is sensitive to many factors, including hormones, toxins

Denardo, Dale

253

EPA Rainfall Erosivity Factor Calculator Website | Open Energy...  

Open Energy Info (EERE)

Website Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: EPA Rainfall Erosivity Factor Calculator Website Abstract This website allows the developer to...

254

Bounding Heavy Meson Form Factors Using Inclusive Sum Rules  

E-Print Network [OSTI]

We utilize inclusive sum rules to construct both upper and lower bounds on the form factors for B to D, D*, rho, pi, omega, K and K* semi-leptonic and radiative decays. We include the leading nonperturbative 1/E corrections and point out cases when alpha_s corrections are equally important. We compute the alpha_s correction to the lower bound on the B to D* form factor f(w) at zero recoil, thereby constraining its normalization f(1) to within 6-8% of the upper bound. We show that the B to rho form factor a_+ is suppressed at small momentum transfer by either a factor of 1/E or alpha_s. These bounds can be used to rule out phenomenological models as well as to determine values for the CKM matrix elements once radiative corrections are included.

C. Glenn Boyd; Ira Z. Rothstein

1996-07-24T23:59:59.000Z

255

Unit-Spin Propagation Functions and Form Factors  

Science Journals Connector (OSTI)

Source theory is used to derive a representation for the propagation function of a unit-spin meson. The asymptotic behavior for large momenta resembles that observed in electromagnetic form factors.

Julian Schwinger

1971-04-15T23:59:59.000Z

256

Sample size in factor analysis: The role of model error  

E-Print Network [OSTI]

This article examines effects of sample size and other design features on correspondence between factors obtained from analysis of sample data and those present in the population from which the samples were drawn. We extend ...

MacCallum, R. C.; Widaman, K. F.; Preacher, K. J.; Hong, Sehee

2001-01-01T23:59:59.000Z

257

Enhancement factors for resuspended aerosol radioactivity: Effects of topsoil disturbance  

SciTech Connect (OSTI)

The enhancement factor for airborne radionuclides resuspended by wind is defined as the ratio of the activity density (Bq g{sup {minus}1}) in the aerosol to the activity density in the underlying surface of contaminated soil. Enhancement factors are useful for assessment of worst-case exposure scenarios and transport conditions, and are one of the criteria for setting environmental standards for radioactivity in soil. This paper presents results of experimental studies where resuspension of {sup 239}Pu was measured when air concentrations were equilibrated to the soil surface. Enhancement factors were observed for several types of man-made disturbances (bulldozer-blading, soil raking, vacuum-cleaning) and natural disturbances (springtime thaw, soil-drying, wildfire). For some cases, enhancement factors are compared over range of geographical locations (Bikini Atoll, California, Nevada, and South Carolina). The particle-size distributions of aerosol activity are compared to particle-size distributions of the underlying soil.

Shinn, J.H.

1991-11-01T23:59:59.000Z

258

Charm and bottom hadronic form factors with QCD sum rules  

SciTech Connect (OSTI)

We present a brief review of some calculations of form factors and coupling constants in vertices with charm and bottom mesons in the framework of QCD sum rules. We first discuss the motivation for this work, describing possible applications of these form factors to charm and bottom decays processes. We first make a summarize of the QCD sum rules method. We give special attention to the uncertainties of the method introducing by the intrinsic variation of the parameters. Finally we conclude.

Bracco, M. E. [Faculdade de Tecnologia, Universidade do Estado do Rio de Janeiro, Rod. Presidente Dutra Km 298, Polo Industrial, 27537-000, Resende, RJ (Brazil); Rodrigues, B. O.; Cerqueira, A. Jr. [Instituto de Fisica, Universidade do Estado do Rio de Janeiro, Rua Sao Francisco Xavier 524, 20550-900, Rio de Janeiro, RJ (Brazil)

2013-03-25T23:59:59.000Z

259

An economic analysis of factors affecting the Texas potato market  

E-Print Network [OSTI]

AN ECONOMIC ANALYSIS OF FACTORS AFFECTING THE TEXAS POTATO MARKET A Thesis OLADIMAGI WINSOME ASGILL Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE May 1989 Major Subject: Agricultural Economics AN ECONOMIC ANALYSIS OP FACTORS AFFECTING THE TEXAS POTATO MARKET A Thesis OLADIMAGI WINSOME ASGILL Approved as to style and content by: H. L. Goodwin (Chair of Committee) S. W. Fuller (Member...

Asgill, Oladimagi Winsome

2012-06-07T23:59:59.000Z

260

Identification of factors affecting the palatability of goat meat  

E-Print Network [OSTI]

Copyright by MERRITT IVAN PIKE 1975 IDENTIFICATION OF FACTORS AFFECTING THE PALATABILITY OF GOAT MEAT A Thesis by MERRITT IVAN PIKE Submitted to the Graduate College of Texas A8M University in partial fulfillment of the requirement... for the degree of MASTER OF SCIENCE December 1974 Major Subject: Animal Science (Meat Science) IDENTIFICATION OF FACTORS AFFECTING THE PALATABILITY OF GOAT MEAT A Thesis by MERRITT IVAN PIKE Approved as to style and content by: Co- an of Committee Co...

Pike, Merritt Ivan

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Form factors and other measures of strangeness in the nucleon  

SciTech Connect (OSTI)

We discuss the phenomenology of strange-quark dynamics in the nucleon, based on experimental and theoretical results for electroweak form factors and for parton densities. In particular, we construct a model for the generalized parton distribution that relates the asymmetry s(x)-s(x) between the longitudinal momentum distributions of strange quarks and antiquarks with the form factor F{sub 1}{sup s}(t), which describes the distribution of strangeness in transverse position space.

Diehl, Markus; Feldmann, Thorsten; Kroll, Peter [Deutsches Elektronen-Synchroton DESY, 22603 Hamburg (Germany); Theoretische Physik I, Universitaet Siegen, 57068 Siegen (Germany); Fachbereich Physik, Universitaet Wuppertal, 42097 Wuppertal (Germany)

2008-02-01T23:59:59.000Z

262

Factors affecting embryo donor performance in Brahman cows  

E-Print Network [OSTI]

FACTORS AFFECTING EMBRYO DONOR PERFORMANCE IN BRAHMAN COWS A Thesis by PEDRO SEGUNDO BASTIDAS Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 1986... Major Subject: Physiology of Reproduction FACTORS AFFECTING EMBRYO DONOR PERFORMANCE IN BRAHMAN COWS A Thesis by PEDRO SEGUNDO BASTIDAS Approved as to style and content by: R. D. Randel (Chairman of Committee) P. G. Harms (Committee Member) D...

Bastidas, Pedro Segundo

2012-06-07T23:59:59.000Z

263

Article Published on LED Lumen Maintenance and Light Loss Factors  

Broader source: Energy.gov [DOE]

An article has been published in LEUKOS: The Journal of the Illuminating Engineering Society of North America (IES) that may be of interest to the solid-state lighting community. Entitled "Lumen Maintenance and Light Loss Factors: Consequences of Current Design Practices for LEDs," the article was written by Michael Royer of Pacific Northwest National Laboratory and discusses complications related to the lamp lumen depreciation (LLD) light loss factor and LEDs.

264

Is it possible to compute the Moebius function without factoring?  

E-Print Network [OSTI]

It has been well known since Fermat's Little Theorem was first published that it is possible to determine that a number is composite without determining any of its nontrivial factors. It is natural to ask whether it is also possible to compute the Moebius function of a composite number without determining any of its nontrivial factors. In this note, we argue that this is impossible.

Craig Alan Feinstein

2003-09-08T23:59:59.000Z

265

Measurement of Black Carbon and Particle Number Emission Factors from  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Measurement of Black Carbon and Particle Number Emission Factors from Measurement of Black Carbon and Particle Number Emission Factors from Individual Heavy-Duty Trucks Title Measurement of Black Carbon and Particle Number Emission Factors from Individual Heavy-Duty Trucks Publication Type Journal Article Year of Publication 2009 Authors Ban-Weiss, George, Melissa M. Lunden, Thomas W. Kirchstetter, and Robert A. Harley Journal Environmental Science and Technology Abstract Emission factors for black carbon (BC) and particle number (PN) were measured from 226 individual heavy-duty (HD) diesel-fueled trucks driving through a 1 km-long California highway tunnel in August 2006. Emission factors were based on concurrent increases in BC, PN, and COB2B concentrations (measured at 1 Hz) that corresponded to the passage of individual HD trucks. The distributions of BC and PN emission factors from individual HD trucks are skewed, meaning that a large fraction of pollution comes from a small fraction of the in-use vehicle fleet. The highest-emitting 10% of trucks were

266

Nuclear mass form factors from coherent photoproduction of $?^0$ mesons  

E-Print Network [OSTI]

Data for coherent photoproduction of $\\pi^0$ mesons from nuclei ($^{12}$C, $^{40}$Ca, $^{93}$Nb, $^{nat}$Pb), recently measured with the TAPS detector at the Mainz MAMI accelerator, have been analyzed in view of the mass form factors of the nuclei. The form factors have been extracted in plane wave approximation of the $A(\\gamma ,\\pi^0)A$ reaction and corrected for final state interaction effects with the help of distorted wave impulse approximations. Nuclear mass rms-radii have been calculated from the slope of the form factors for $q^2\\to 0$. Furthermore, the Helm model (hard sphere form factor folded with Gaussian) was used to extract diffraction radii from the zeroes of the form factor and skin thicknesses from the position and height of its first maximum. The diffraction radii from the Helm model agree with the corresponding charge radii obtained from electron scattering experiments within their uncertainties of a few per cent. The rms-radii from the slope of the form factors are systematically lower by up to 5% for PWIA and up to 10% for DWIA. Also the skin thicknesses extracted from the Helm model are systematically smaller than their charge counter parts.

B. Krusche

2005-09-01T23:59:59.000Z

267

Table 2.2 Nonfuel (Feedstock) Use of Combustible Energy, 2002  

U.S. Energy Information Administration (EIA) Indexed Site

2 Nonfuel (Feedstock) Use of Combustible Energy, 2002;" 2 Nonfuel (Feedstock) Use of Combustible Energy, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,"RSE" "NAICS"," "," ","Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

268

" Row: End Uses within NAICS Codes;"  

U.S. Energy Information Administration (EIA) Indexed Site

2 End Uses of Fuel Consumption, 2002;" 2 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Factors"

269

" Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"  

U.S. Energy Information Administration (EIA) Indexed Site

2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,"RSE" "NAICS"," "," ","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

270

"Table A37. Total Expenditures for Purchased Energy Sources by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

7. Total Expenditures for Purchased Energy Sources by Census Region," 7. Total Expenditures for Purchased Energy Sources by Census Region," " Census Division, and Economic Characteristics of the Establishment, 1994" " (Estimates in Million Dollars)" " "," "," "," ",," "," "," "," "," ","RSE" " "," "," ","Residual","Distillate","Natural"," "," ","Coke"," ","Row" "Economic Characteristics(a)","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors"

271

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

U.S. Energy Information Administration (EIA) Indexed Site

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

272

Table A11. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

U.S. Energy Information Administration (EIA) Indexed Site

1" 1" " (Estimates in Btu or Physical Units)" ,,,,"Distillate",,,"Coal" ,,,,"Fuel Oil",,,"(excluding" ,,"Net","Residual","and Diesel",,,"Coal Coke",,"RSE" ,"Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural Gas(c)","LPG","and Breeze)","Other(d)","Row" "End-Use Categories","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","(billion cu ft)","(1000 bbls)","(1000 short tons)","(trillion Btu)","Factors" ,,,,,,,,,,, ,"Total United States"

273

" Row: End Uses;"  

U.S. Energy Information Administration (EIA) Indexed Site

8 End Uses of Fuel Consumption, 2002;" 8 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " ",," ","Distillate"," "," ",," " " ","Net Demand",,"Fuel Oil",,,"Coal","RSE" " ","for ","Residual","and","Natural ","LPG and","(excluding Coal","Row" "End Use","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Factors"

274

" Energy Sources by Industry Group, Selected Industries, and Selected"  

U.S. Energy Information Administration (EIA) Indexed Site

5. Capability to Switch from Distillate Fuel Oil to Alternative" 5. Capability to Switch from Distillate Fuel Oil to Alternative" " Energy Sources by Industry Group, Selected Industries, and Selected" " Characteristics, 1991" " (Estimates in Thousand Barrels)" ,," Distillate Fuel Oil ",,," Alternative Types of Energy(b)" ,,"-","-","-------------","-","-","-","-","-","-","-","RSE" ,,"Total"," ","Not","Electricity","Natural","Residual",,,"Coal Coke",,"Row" ,,"Consumed(c)","Switchable","Switchable","Receipts(d)","Gas","Fuel Oil","Coal","LPG","and Breeze","Other(e)","Factors"

275

Table E3.1. Fuel Consumption, 1998  

U.S. Energy Information Administration (EIA) Indexed Site

E3.1. Fuel Consumption, 1998;" E3.1. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE" "Economic",,"Net","Residual","Distillate",,"LPG and",,"Coke and"," ","Row" "Characteristic(a)","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","Breeze","Other(f)","Factors"

276

Table A4. Total Inputs of Energy for Heat, Power, and Electricity Generation  

U.S. Energy Information Administration (EIA) Indexed Site

1 " 1 " " (Estimates in Btu or Physical Units)" " "," "," "," "," "," "," "," "," ","Coke"," "," " " "," "," ","Net","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","LPG","(1000","(1000","Other(e)","Row" "Code(a)","Industry Groups and Industry","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","short tons)","short tons)","(trillion Btu)","Factors"

277

Table A58. Capability to Switch from LPG to Alternative Energy Sources by  

U.S. Energy Information Administration (EIA) Indexed Site

8. Capability to Switch from LPG to Alternative Energy Sources by" 8. Capability to Switch from LPG to Alternative Energy Sources by" " Industry Group, Selected Industries, and Selected Characteristics, 1991" " (Estimates in Thousand Barrels)" ,," LPG",,," Alternative Types of Energy(b)" ,,"-","-","-------------","-","-","-","-","-","-","-","RSE" ,,"Total"," ","Not","Electricity",,,,,,,"Row" ,,"Consumed(b)","Switchable","Switchable","Receipts(d)","Gas","Fuel Oil","Fuel Oil","Coal","and Breeze","Other(e)","Factors"

278

" Sources by Industry Group, Selected Industries, and Selected Characteristics,"  

U.S. Energy Information Administration (EIA) Indexed Site

3. Capability to Switch from Electricity to Alternative Energy" 3. Capability to Switch from Electricity to Alternative Energy" " Sources by Industry Group, Selected Industries, and Selected Characteristics," 1991 " (Estimates in Million Kilowatthours)" ,," Electricity Receipts",,," Alternative Types of Energy(b)" ,,"-","-","-----------","-","-","-","-","-","-","-" ,,,,,,,,,,"Coal",,"RSE" ,,"Total"," ","Not","Natural","Distillate","Residual",,,"Coke and",,"Row" ,,"Receipts(c)","Switchable","Switchable","Gas","Fuel Oil","Fuel Oil","Coal","LPG","Breeze","Other(d)","Factors"," "

279

Table A37. Total Inputs of Energy for Heat, Power, and Electricity  

U.S. Energy Information Administration (EIA) Indexed Site

1",,,,,,,"Coal" 1",,,,,,,"Coal" " (Estimates in Btu or Physical Units)",,,,,,,"(excluding" ,,,,"Distillate",,,"Coal Coke" ,,"Net",,"Fuel Oil",,,"and" ,,"Electricity(a)","Residual","and Diesel","Natural Gas",,"Breeze)",,"RSE" ,"Total","(million","Fuel Oil","Fuel","(billion","LPG","(1000 short","Other","Row" "End-Use Categories","(trillion Btu)","kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","tons)","(trillion Btu)","Factors"

280

" Sources by Industry Group, Selected Industries, and Selected Characteristics,"  

U.S. Energy Information Administration (EIA) Indexed Site

6. Capability to Switch from Residual Fuel Oil to Alternative Energy" 6. Capability to Switch from Residual Fuel Oil to Alternative Energy" " Sources by Industry Group, Selected Industries, and Selected Characteristics," 1991 " (Estimates in Thousand Barrels)" ,," Residual Fuel Oil",,," Alternative Types of Energy(b)" ," ","-","-","-------------","-","-","-","-","-","-","-","RSE" ,,"Total",,"Not","Electricity","Natural","Distillate",,,"Coal Coke",,"Row" ,,"Consumed(c)","Switchable","Switchable","Receipts(d)","Gas","Fuel Oil","Coal","LPG","and Breeze","Other(e)","Factors"

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Table 7.9 Expenditures for Purchased Energy Sources, 2002  

U.S. Energy Information Administration (EIA) Indexed Site

9 Expenditures for Purchased Energy Sources, 2002;" 9 Expenditures for Purchased Energy Sources, 2002;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Million U.S. Dollars." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ",,"Residual","Distillate","Natural ","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

282

Table A38. Selected Combustible Inputs of Energy for Heat, Power, and  

U.S. Energy Information Administration (EIA) Indexed Site

1" 1" " (Estimates in Btu or Physical Units)",,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,"Net Demand",,"Fuel Oil",,,"Coal Coke" ,,"for","Residual","and","Natural Gas(d)",,"and Breeze)","RSE" "SIC",,"Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","LPG","(1000 short","Row" "Code(a)","End-Use Categories","(million kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","tons)","Factors" "20-39","ALL INDUSTRY GROUPS"

283

" Row: NAICS Codes; Column: Energy Sources;"  

U.S. Energy Information Administration (EIA) Indexed Site

2 Offsite-Produced Fuel Consumption, 2002;" 2 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ",,"Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

284

" Row: NAICS Codes; Column: Energy Sources;"  

U.S. Energy Information Administration (EIA) Indexed Site

4 Number of Establishments by Offsite-Produced Fuel Consumption, 2002;" 4 Number of Establishments by Offsite-Produced Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS"," ","Energy",,"Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors"

285

Table A36. Total Inputs of Energy for Heat, Power, and Electricity  

U.S. Energy Information Administration (EIA) Indexed Site

,,,,,,,,"Coal" ,,,,,,,,"Coal" " Part 1",,,,,,,,"(excluding" " (Estimates in Btu or Physical Units)",,,,,"Distillate",,,"Coal Coke" ,,,,,"Fuel Oil",,,"and" ,,,"Net","Residual","and Diesel","Natural Gas",,"Breeze)",,"RSE" "SIC",,"Total","Electricity(b)","Fuel Oil","Fuel","(billion","LPG","(1000 Short","Other","Row" "Code(a)","End-Use Categories","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","tons)","(trillion Btu)","Factors",

286

Table 2.3 Nonfuel (Feedstock) Use of Combustible Energy, 2002  

U.S. Energy Information Administration (EIA) Indexed Site

3 Nonfuel (Feedstock) Use of Combustible Energy, 2002;" 3 Nonfuel (Feedstock) Use of Combustible Energy, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," " " "," "," "," ",," "," ",," ","RSE" "Economic",,"Residual","Distillate","Natural ","LPG and",,"Coke and"," ","Row" "Characteristic(a)","Total","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","Breeze","Other(e)","Factors"

287

" Row: NAICS Codes; Column: Energy Sources;"  

U.S. Energy Information Administration (EIA) Indexed Site

4 Number of Establishments by Fuel Consumption, 2002;" 4 Number of Establishments by Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS"," ","Energy","Net","Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors"

288

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

U.S. Energy Information Administration (EIA) Indexed Site

6 End Uses of Fuel Consumption, 2002;" 6 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

289

" Row: End Uses within NAICS Codes;"  

U.S. Energy Information Administration (EIA) Indexed Site

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Factors"

290

Table A12. Selected Combustible Inputs of Energy for Heat, Power, and  

U.S. Energy Information Administration (EIA) Indexed Site

Type and End Use," Type and End Use," " 1994: Part 1" " (Estimates in Btu or Physical Units)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,"Net Demand",,"Fuel Oil",,,"Coal Coke" ,,"for","Residual","and","Natural Gas(d)",,"and Breeze)","RSE" "SIC",,"Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","LPG","(1000 short","Row" "Code(a)","End-Use Categories","(million kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","tons)","Factors"

291

Table A67. Capability to Switch from Electricity to Alternative Energy Source  

U.S. Energy Information Administration (EIA) Indexed Site

7. Capability to Switch from Electricity to Alternative Energy Sources" 7. Capability to Switch from Electricity to Alternative Energy Sources" " by Industry Group, Selected Industries, and Selected Characteristics," " 1994: Part 1" " (Estimates in Million Kilowatthours)" ,,,"Electricity Receipts",,,," Alternative Types of Energy(b)" ,,,,,,,,,,"Coal Coke",,"RSE" "SIC"," ","Total"," ","Not","Natural","Distillate","Residual",,,"and",,"Row" "Code(a)","Industry Group and Industry","Receipts(c)","Switchable","Switchable","Gas","Fuel Oil","Fuel Oil","Coal","LPG","Breeze","Other(d)","Factors"," "

292

"Table A36. Total Expenditures for Purchased Energy Sources by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

6. Total Expenditures for Purchased Energy Sources by Census Region," 6. Total Expenditures for Purchased Energy Sources by Census Region," " Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Million Dollars)" ,,,,,,,,,,,"RSE" "SIC"," "," "," ","Residual","Distillate ","Natural"," "," ","Coke"," ","Row" "Code(a)","Industry Group and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors" ,,"Total United States"

293

" Sources by Industry Group, Selected Industries, and Selected Characteristics,"  

U.S. Energy Information Administration (EIA) Indexed Site

4. Capability to Switch from Natural Gas to Alternative Energy" 4. Capability to Switch from Natural Gas to Alternative Energy" " Sources by Industry Group, Selected Industries, and Selected Characteristics," 1991 " (Estimates in Billion Cubic Feet)" ,," Natural Gas",,," Alternative Types of Energy(b)" ,,"-","-","-------------","-","-","-","-","-","-","-","RSE" ,,"Total"," ","Not","Electricity","Distillate","Residual",,,"Coal Coke",,"Row" ,,"Consumed(c)","Switchable","Switchable","Receipts(d)","Fuel Oil","Fuel Oil","Coal","LPG","and Breeze","Other(e)","Factors"

294

" Row: Selected SIC Codes; Column: Energy Sources;"  

U.S. Energy Information Administration (EIA) Indexed Site

2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Major Group and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

295

" Electricity Generation by Census Region, Industry Group, and Selected"  

U.S. Energy Information Administration (EIA) Indexed Site

1" 1" " (Estimates in Btu or Physical Units)" " "," "," "," "," "," "," "," "," ","Coke"," "," " " "," "," "," ","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","LPG","(1000","(1000","Other(e)","Row" "Code(a)","Industry Groups and Industry","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","short tons)","short tons)","(trillion Btu)","Factors"

296

" Row: End Uses within NAICS Codes;"  

U.S. Energy Information Administration (EIA) Indexed Site

4 End Uses of Fuel Consumption, 2002;" 4 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal","RSE" "NAICS"," ","for ","Residual","and","Natural ","LPG and","(excluding Coal","Row" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Factors"

297

Table 4.3 Offsite-Produced Fuel Consumption, 2002  

U.S. Energy Information Administration (EIA) Indexed Site

3 Offsite-Produced Fuel Consumption, 2002;" 3 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE" "Economic",,,"Residual","Distillate","Natural ","LPG and",,"Coke and"," ","Row" "Characteristic(a)","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","Breeze","Other(f)","Factors"

298

Department for Environment, Food and Rural Affairs Guidelines to Defra's Greenhouse Gas Conversion Factors for  

E-Print Network [OSTI]

Factors for Company Reporting June 2008 What are Greenhouse Gas Conversion Factors? These conversion of activities, including energy use and transport activities Who should use these factors? These factors by organisations or individuals overseas as the conversion factors are specific to the UK. What should I use

299

Success factors characterisation towards Six Sigma implementation in Indian industries  

Science Journals Connector (OSTI)

A common approach used in developing Six Sigma, Lean Six Sigma or other quality improvement framework is to identify the factors/elements that are believed to be critical to the successful implementation of these concepts. Several studies were conducted to identify critical success factors for Six Sigma implementation in a specific category of industries in a country. In this paper, literature review, industry experience and brainstorming are utilised to identify the possible critical success factors (CSF) responsible for successful implementation of Six Sigma. These success factors are identified for three types of industries: manufacturing, business process outsourced (BPO) organisations, information technology (IT) and information technology enabled services (ITeS) organisations. The survey data, based on questionnaire design, are analysed using suitable statistical techniques like cluster analysis, similarity matrix analysis and market basket analysis to identify the critical success factors both for overall industry and also segment wise. The findings from this work would be useful for industries to make Six Sigma implementation focused and also help them to utilise resources optimally.

Sanjit Ray; Prasun Das; Bidyut K. Bhattacharyay

2012-01-01T23:59:59.000Z

300

Property:Geothermal/LoadFactor | Open Energy Information  

Open Energy Info (EERE)

LoadFactor LoadFactor Jump to: navigation, search This is a property of type Number. Pages using the property "Geothermal/LoadFactor" Showing 25 pages using this property. (previous 25) (next 25) 4 4 UR Guest Ranch Pool & Spa Low Temperature Geothermal Facility + 0.76 + A Ace Development Aquaculture Low Temperature Geothermal Facility + 0.8 + Agua Calientes Trailer Park Space Heating Low Temperature Geothermal Facility + 0.29 + Alive Polarity's Murrietta Hot Spring Pool & Spa Low Temperature Geothermal Facility + 0.8 + Americulture Aquaculture Low Temperature Geothermal Facility + 0.81 + Aq Dryers Agricultural Drying Low Temperature Geothermal Facility + 0.25 + Aqua Caliente County Park Pool & Spa Low Temperature Geothermal Facility + 0.68 +

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Indoor Residential Chemical Emissions as Risk Factors for Children's  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Indoor Residential Chemical Emissions as Risk Factors for Children's Indoor Residential Chemical Emissions as Risk Factors for Children's Respiratory Health Speaker(s): Mark Mendell Date: February 23, 2007 - 12:00pm Location: 90-3122 Most research into the effects of residential indoor air exposures on asthma and allergies has focused on exposures to biologic allergens, moisture and mold, endotoxin, or combustion byproducts. A growing body of research suggests that chemical emissions from common indoor materials and finishes have adverse effects, including increased risk of asthma, allergies, and pulmonary infections. The identified risk factors include specific organic compounds such as formaldehyde, benzene, and phthalates, as well as indoor materials or finishes such as vinyl flooring, carpet, paint, and plastics. This presentation presents a brief review of studies

302

Development of the Electricity Carbon Emission Factors for Ukraine | Open  

Open Energy Info (EERE)

Ukraine Ukraine Jump to: navigation, search Name Development of the Electricity Carbon Emission Factors for Ukraine Agency/Company /Organization European Bank for Reconstruction and Development Sector Energy Topics GHG inventory, Policies/deployment programs, Co-benefits assessment, Pathways analysis Resource Type Publications Website http://www.lahmeyer.de/fileadm Country Ukraine UN Region Eastern Europe References Development of the Electricity Carbon Emission Factors for Ukraine[1] "The study project "Development of the Electricity Carbon Emission Factors for Ukraine" was assigned by the European Bank for Development and Reconstruction (EBRD) to the consultant Lahmeyer International with Perspective as subcontractor on 16 July 2009. It is a baseline study with the overall goal to calculate reliable carbon

303

Assess Site Factors That Affect Employee Commuting Options for Greenhouse  

Broader source: Energy.gov (indexed) [DOE]

Assess Site Factors That Affect Employee Commuting Options for Assess Site Factors That Affect Employee Commuting Options for Greenhouse Gas Profile Assess Site Factors That Affect Employee Commuting Options for Greenhouse Gas Profile October 7, 2013 - 1:52pm Addthis YOU ARE HERE: Step 2 After establishing an employee commuting behavior baseline for evaluating a greenhouse gas (GHG) profile, analyze the specific characteristics of the agency's major worksites to help determine which alternative commute methods and work arrangements are viable and what types of strategies may be most effective for promoting those alternatives. It is recommended that worksite-level data collection focus on worksites with the: Largest number of employees, or clusters of worksites with large employee populations in an area with diverse commuting infrastructure

304

Decentralized Rural Electrification: the Critical Success Factors | Open  

Open Energy Info (EERE)

Decentralized Rural Electrification: the Critical Success Factors Decentralized Rural Electrification: the Critical Success Factors Jump to: navigation, search Tool Summary Name: Decentralized Rural Electrification: the Critical Success Factors Agency/Company /Organization: Ray Holland, Lahiru Perera, Teodoro Sanchez, Dr Rona Wilkinson Sector: Energy Focus Area: Renewable Energy Phase: Create a Vision Topics: - Energy Access Resource Type: Publications User Interface: Website Website: cdn1.practicalaction.org/r/u/4d927f75-6660-426f-941e-13a02e33baf9.pdf? Cost: Free Language: English This review of recent practice draws on ITDG's twenty years experience of supporting off-grid solutions in Sri Lanka, Nepal, Zimbabwe and Peru in particular, and on work by other organisations in other countries, such as Indonesia, Kenya, Vietnam, South Africa.

305

Visualization of semileptonic form factors from lattice QCD  

SciTech Connect (OSTI)

Comparisons of lattice-QCD calculations of semileptonic form factors with experimental measurements often display two sets of points, one each for lattice QCD and experiment. Here we propose to display the output of a lattice-QCD analysis as a curve and error band. This is justified, because lattice-QCD results rely in part on fitting, both for the chiral extrapolation and to extend lattice-QCD data over the full physically allowed kinematic domain. To display an error band, correlations in the fit parameters must be taken into account. For the statistical error, the correlation comes from the fit. To illustrate how to address correlations in the systematic errors, we use the Becirevic-Kaidalov parametrization of the D{yields}{pi}l{nu} and D{yields}Kl{nu} form factors, and an analyticity-based fit for the B{yields}{pi}l{nu} form factor f{sub +}.

Bernard, C.; Laiho, J. [Department of Physics, Washington University, St. Louis, Missouri (United States); DeTar, C.; Levkova, L.; Oktay, M. B. [Physics Department, University of Utah, Salt Lake City, Utah (United States); Di Pierro, M. [School of Computer Science, Telecommunications and Information Systems, DePaul University, Chicago, Illinois (United States); El-Khadra, A. X.; Evans, R. T.; Gamiz, E. [Physics Department, University of Illinois, Urbana, Illinois (United States); Freeland, E. D. [Liberal Arts Department, The School of the Art Institute of Chicago, Chicago, Illinois (United States); Gottlieb, Steven [Department of Physics, Indiana University, Bloomington, Indiana (United States); Heller, U. M. [American Physical Society, Ridge, New York (United States); Hetrick, J. E. [Physics Department, University of the Pacific, Stockton, California (United States); Kronfeld, A. S.; Mackenzie, P. B.; Okamoto, M.; Simone, J. N. [Fermi National Accelerator Laboratory, Batavia, Illinois (United States); Sugar, R. [Department of Physics, University of California, Santa Barbara, California (United States); Toussaint, D. [Department of Physics, University of Arizona, Tucson, Arizona (United States); Van de Water, R. S. [Physics Department, Brookhaven National Laboratory, Upton, New York (United States)

2009-08-01T23:59:59.000Z

306

Calculation of Accurate Hexagonal Discontinuity Factors for PARCS  

SciTech Connect (OSTI)

In this study we derive a methodology for calculating discontinuity factors consistent with the Triangle-based Polynomial Expansion Nodal (TPEN) method implemented in PARCS for hexagonal reactor geometries. The accuracy of coarse-mesh nodal methods is greatly enhanced by permitting flux discontinuities at node boundaries, but the practice of calculating discontinuity factors from infinite-medium (zero-current) single bundle calculations may not be sufficiently accurate for more challenging problems in which there is a large amount of internodal neutron streaming. The authors therefore derive a TPEN-based method for calculating discontinuity factors that are exact with respect to generalized equivalence theory. The method is validated by reproducing the reference solution for a small hexagonal core.

Pounders. J., Bandini, B. R. , Xu, Y, and Downar, T. J.

2007-11-01T23:59:59.000Z

307

Factors affecting the energy consumption of two refrigerator-freezers  

SciTech Connect (OSTI)

Two refrigerator-freezers, one with a top-mounted freezer and one with side-by-side doors, were tested in the laboratory to determine the sensitivity of their energy consumption to various operational factors. Room temperature, room humidity, door openings, and the setting of the anti-sweat heater switch were the factors examined. The results indicated that the room temperature and door openings had a significantly greater effect on energy consumption than the other two factors. More detailed tests were then performed under different room temperature and door-opening combinations. The relationship of door openings and the equivalent test room temperature was established. Finally, the effect on energy of different temperature settings was studied. Test results are presented and discussed.

Kao, J.Y.; Kelley, G.E. [National Inst. of Standards and Technology, Gaithersburg, MD (United States). Building and Fire Research Lab.

1996-12-31T23:59:59.000Z

308

High quality factor, fully switchable THz superconducting metasurface  

E-Print Network [OSTI]

We present a complementary THz metasurface realised with Niobium thin film which displays a quality factor Q=54 and a fully switchable behaviour as a function of the temperature. The switching behaviour and the high quality factor are due to a careful design of the metasurface aimed at maximising the ohmic losses when the Nb is above the critical temperature and minimising the radiative coupling. The superconductor allows the operation of the cavity with an high Q and inductive elements with an high aspect ratio. Comparison with three dimensional finite element simulations highlights the crucial role of the inductive elements and of the kinetic inductance of the Cooper pairs in achieving the high quality factor and the high field enhancement.

Scalari, Giacomo; Cibella, Sara; Leoni, Roberto; Faist, Jerome

2014-01-01T23:59:59.000Z

309

Generalized parton distributions from nucleon form factor data  

E-Print Network [OSTI]

We present a simple empirical parameterization of the x- and t-dependence of generalized parton distributions at zero skewness, using forward parton distributions as input. A fit to experimental data for the Dirac, Pauli and axial form factors of the nucleon allows us to discuss quantitatively the interplay between longitudinal and transverse partonic degrees of freedom in the nucleon ("nucleon tomography"). In particular we obtain the transverse distribution of valence quarks at given momentum fraction x. We calculate various moments of the distributions, including the form factors that appear in the handbag approximation to wide-angle Compton scattering. This allows us to estimate the minimal momentum transfer required for reliable predictions in that approach to be around |t|~3 GeV^2. We also evaluate the valence contributions to the energy-momentum form factors entering Ji's sum rule.

M. Diehl; Th. Feldmann; R. Jakob; P. Kroll

2004-08-16T23:59:59.000Z

310

Regions of influence for several methods of factoring polynomials  

E-Print Network [OSTI]

, or if preferred, over the field of complex numbers be denoted n n-1 f(x) = x + a x + + a x + a n-1 n' Let a factor of the above be (2) III m-1 g(x) x + p x +'''+ p x + p m-1 Ill If an iterative technique is used to find the factor (2) then iteration must... start with a trial factor which can be written as (3) (1) m (1) m-1 (1) (1) Successive members of the iterative sequence have the form (k) m (k) m-1 (k) (k) g (x) x + p x + ''+ p x + p It is seen that the coefficients of (3b) determine a point p (k...

Schulze, Tommy Joe

2012-06-07T23:59:59.000Z

311

Wildlife Exposure Factors Handbook - Appendix: Literature Review Database  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Wildlife Wildlife Exposure Factors Handbook Appendix: Literature Review Database Volume II of II United States Office of Research EPA/600/R-93/187 Environmental Protection and Development December 1993 Agency (8603) Wildlife Exposure Factors Handbook Appendix: Literature Review Database Volume II of II EPA/600/R-93/187 December 1993 WILDLIFE EXPOSURE FACTORS HANDBOOK APPENDIX: LITERATURE REVIEW DATABASE Volume II of II Office of Health and Environmental Assessment Office of Research and Development U.S. Environmental Protection Agency Washington, D.C. 20460 Additional major funding for this Handbook was provided by the Office of Emergency and Remedial Response, Office of Solid Waste and Emergency Response and by the Office of Science and Technology, Office of Water U.S. Environmental Protection Agency

312

The Proton Form Factor Ratio Measurements at Jefferson Lab  

SciTech Connect (OSTI)

The ratio of the proton form factors, G{sub Ep}/G{sub Mp}, has been measured from Q{sup 2} of 0.5 GeV{sup 2} to 8.5 GeV{sup 2}, at the Jefferson Laboratory, using the polarization transfer method. This ratio is extracted directly from the measured ratio of the transverse and longitudinal polarization components of the recoiling proton in elastic electron-proton scattering. The discovery that the proton form factor ratio measured in these experiments decreases approximately linearly with four-momentum transfer, Q{sup 2}, for values above #25;~1 GeV{sup 2}, is one of the most significant results to come out of JLab. These results have had a large impact on progress in hadronic physics; and have required a significant rethinking of nucleon structure. The increasingly common use of the double-polarization technique to measure the nucleon form factors, in the last 15 years, has resulted in a dramatic improvement of the quality of all four nucleon electromagnetic form factors, G{sub Ep}, G{sub Mp}, G{sub En} and G{sub Mn}. There is an approved experiment at JLab, GEP(V), to continue the ratio measurements to 12 GeV{sup 2}. A dedicated experimental setup, the Super Bigbite Spectrometer (SBS), will be built for this purpose. It will be equipped with a focal plane polarimeter to measure the polarization of the recoil protons. The scattered electrons will be detected in an electromagnetic calorimeter. In this presentation, I will review the status of the proton elastic electromagnetic form factors and discuss a number of theoretical approaches to describe nucleon form factors.

Punjabi, Vina A. [Norfolk State University, Norfolk, VA (United States); Perdrisat, Charles F. [William and Mary College, Williamsburg, VA (United States)

2014-03-01T23:59:59.000Z

313

Portfolio Manager Technical Reference: Thermal Conversion Factors | ENERGY  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Thermal Conversion Factors Thermal Conversion Factors Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder

314

Environmental factors influencing conidial release and sporulation of Paronospora manshurica  

E-Print Network [OSTI]

gNVIRONb1ZNTA' FACTORS INI LURNCING CONIDIAL H. "L 'A R AND SPGRULA IGN GF PRRONOSPGHA NANSRUHICA A Tnes's by DAVID BRIAN i~1ADD N Submitted to the Graduate Ccllege of Tenas P2cN University in partial fulfillment of the requirement... for the degree of' FiASTRH OF SCIZNC~ December, 19cG Major Subject: Plant Pathology ENVIRONMENTAL FACTORS INFLUENCING CONIDIAL RELEASE AND SPORULATION OF PERONOSPORA MANSHURICA A Thesis by DAVID BRIAN MADDEN Approved as to style and content by...

Madden, David Brian

2012-06-07T23:59:59.000Z

315

A Supernodal Approach to Incomplete LU Factorization with Partial Pivoting  

SciTech Connect (OSTI)

We present a new supernode-based incomplete LU factorization method to construct a preconditioner for solving sparse linear systems with iterative methods. The new algorithm is primarily based on the ILUTP approach by Saad, and we incorporate a number of techniques to improve the robustness and performance of the traditional ILUTP method. These include the new dropping strategies that accommodate the use of supernodal structures in the factored matrix. We present numerical experiments to demonstrate that our new method is competitive with the other ILU approaches and is well suited for today's high performance architectures.

Li, Xiaoye Sherry; Shao, Meiyue

2009-06-25T23:59:59.000Z

316

Stress intensity factors for small fatigue cracks in tubular joints  

SciTech Connect (OSTI)

Some simple fracture mechanics models are presented for estimating stress intensity factors for small surface fatigue cracks in welded tubular joints. Model predictions are compared with large-scale experimental results for the cases of in-plane and out-of-plane bending in multi-brace tubular nodes. It is demonstrated that reasonably accurate predictions of the stress intensity factor are possible using a modified flat plate solution if the effects of weld geometry, load shedding and crack shape are adequately accounted for.

Monahan, C.C. [Memorial Univ. of Newfoundland, St. Johns, Newfoundland (Canada). Centre for Cold Ocean Resources Engineering; Dover, W.D. [University College, London (United Kingdom)

1995-12-31T23:59:59.000Z

317

Project PREVENT: A Randomized Trial to Reduce Multiple Behavioral Risk Factors for Colon Cancer  

Science Journals Connector (OSTI)

...beyond emphasis on a single risk factor are acceptable to patient populations...beyond emphasis on a single risk factor are acceptable to patient populations...beyond emphasis on a single risk factor are acceptable to patient populations...

Karen M. Emmons; Colleen M. McBride; Elaine Puleo; Kathryn I. Pollak; Elizabeth Clipp; Karen Kuntz; Bess H. Marcus; Melissa Napolitano; Jane Onken; Frank Farraye; and Robert Fletcher

2005-06-01T23:59:59.000Z

318

VOICE CONVERSION BASED ON NON-NEGATIVE MATRIX FACTORIZATION USING PHONEME-CATEGORIZED DICTIONARY  

E-Print Network [OSTI]

VOICE CONVERSION BASED ON NON-NEGATIVE MATRIX FACTORIZATION USING PHONEME-CATEGORIZED DICTIONARY using Non-negative matrix factorization (NMF) is employed for spectral conversion between different conversion, sparse representation, non- negative matrix factorization, sub-dictionary 1. INTRODUCTION

Takiguchi, Tetsuya

319

E-Print Network 3.0 - asphyxia-related risk factors Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

at k 3) and i is a policy factor. The i policy... that for the crude risk calculations applied for Schiphol airport in the Netherlands a policy factor of i > 0... factor to the...

320

Convergence of Hormones, Inflammation, and Energy-Related Factors: A Novel Pathway of Cancer Etiology  

Science Journals Connector (OSTI)

...Convergence of Hormones, Inflammation, and Energy-Related Factors: A Novel Pathway of...estrogen, androgen, and insulin; and energy-related factors. We present evidence...convergence of hormones, inflammation, and energy-related factors (CHIEF). First...

Martha L. Slattery and F.A. Fitzpatrick

2009-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Energy Price Indices and Discount Factors for Life-Cycle Cost...  

Office of Environmental Management (EM)

0 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2010 Report describes the 2010 edition of energy price indices and discount factors for performing...

322

E-Print Network 3.0 - antihemophilic factor human Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Emphasis Area As illustrated in Figure 1, "Human factors" is a system engineering... ergonomics). From this perspective, human factors engineering is commonly applied to work...

323

Forward osmosis for desalination and water treatment : a study of the factors influencing process performance.  

E-Print Network [OSTI]

??This thesis explores various factors that have significant impacts on FO process performance in desalination and water treatment. These factors mainly include working temperatures, solution… (more)

Zhao, Shuaifei

2012-01-01T23:59:59.000Z

324

E-Print Network 3.0 - adulthood risk factors Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

For example, the nuclear receptor transcription factor steroidogenic factor-1 (SF-1) is a key... in a milder form of this condition that first presents in ... Source:...

325

Sensitive Immunoassay of a Biomarker TumorNecrosis Factor-[alpha...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Biomarker TumorNecrosis Factor-alpha Based on Poly(guanine)-Functionalized Silica Nanoparticle Sensitive Immunoassay of a Biomarker TumorNecrosis Factor-alpha Based on...

326

E-Print Network 3.0 - activating factor ddt-insensitive Sample...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

of abbreviations List of abbreviations Summary: factor GAP GTPase-activating protein GDI guanine dissociation inhibitor GEF guanine exchange factor GM... List of abbreviations...

327

E-Print Network 3.0 - activating factor-stimulated human Sample...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

factor mediated activation of mTOR is deregulated in human cancer... , Schaffhausen B, Pallas DC, White M, Cantley L, Roberts TM. Common elements in growth factor stimulation... ,...

328

A PM10 emission factor for free stall dairies  

E-Print Network [OSTI]

approximately 1840 head of milking cattle. The field sampling results were used in the EPA approved dispersion model Industrial Source Complex Short Term version 3 (ISCST-v3) to estimate emission fluxes and ultimately a seasonally corrected emission factor for a...

Goodrich, Lee Barry

2006-08-16T23:59:59.000Z

329

Factors Influencing Productivity and Operating Cost of Demand Responsive Transit  

E-Print Network [OSTI]

Factors Influencing Productivity and Operating Cost of Demand Responsive Transit Kurt Palmer Maged of the Americans with Disabilities Act in 1991 operating expenses for Demand Responsive Transit have more than and practices upon productivity and operating cost. ii #12;1 Introduction Demand Responsive Transit (DRT

Dessouky, Maged

330

The Areal Reduction Factor (ARF) : a multifractal analysis  

E-Print Network [OSTI]

The Areal Reduction Factor (ARF) [eta] is a key parameter in the design for hydrologic extremes. For a basin of area A, [eta](A, D, 7) is the ratio between the area-average rainfall intensity over a duration D with return ...

Langousis, Andreas, 1981-

2005-01-01T23:59:59.000Z

331

Guanine and Factor Z1, Growth Substances for Phycomyces  

Science Journals Connector (OSTI)

...natural products. By treatment with charcoal the natural...Factor ZA was soluble in water, in aqueous alcohol...to autoclaving. In electrodialysis it migrated to the...migrates to the cathode in electrodialysis. Our observations...was not destroyed by treatment with nitrous acid...

William J. Robbins; Frederick Kavanagh

1942-01-01T23:59:59.000Z

332

Improvement of Photon Buildup Factors for Radiological Assessment  

SciTech Connect (OSTI)

Slant-path buildup factors for photons between 1 keV and 10 MeV for nine radiation shielding materials (air, aluminum, concrete, iron, lead, leaded glass, polyethylene, stainless steel, and water) are calculated with the most recent cross-section data available using Monte Carlo and discrete ordinates methods. Discrete ordinates calculations use a 244-group energy structure that is based on previous research at Los Alamos National Laboratory (LANL), but extended with the results of this thesis, and its focused studies on low-energy photon transport and the effects of group widths in multigroup calculations. Buildup factor calculations in discrete ordinates benefit from coupled photon/electron cross sections to account for secondary photon effects. Also, ambient dose equivalent (herein referred to as dose) buildup factors were analyzed at lower energies where corresponding response functions do not exist in literature. The results of these studies are directly applicable to radiation safety at LANL, where the dose modeling tool Pandemonium is used to estimate worker dose in plutonium handling facilities. Buildup factors determined in this thesis will be used to enhance the code's modeling capabilities, but should be of interest to the radiation shielding community.

F.G. Schirmers

2006-07-01T23:59:59.000Z

333

Carbon Nanotubes as Ultrahigh Quality Factor Mechanical Resonators  

E-Print Network [OSTI]

Carbon Nanotubes as Ultrahigh Quality Factor Mechanical Resonators Andreas K. Hu¨ttel, Gary A mode of suspended carbon nanotubes at millikelvin temperatures by measuring the single- electron tunneling current. The suspended nanotubes are actuated contact-free by the radio frequency electric field

334

ON THE GAGE FACTOR FOR OPTICAL FIBER GRATING STRAIN GAGES  

E-Print Network [OSTI]

of grating and fiber types. KEY WORDS: Fiber-Optic Gratings, Fiber-Optic Sensors, Strain Gage Factor 1 theoretical background. Then, in Section 3, we discuss measurement methods followed by the experimental tests and results in Section 4, before concluding in Section 5. 2. THEORETICAL BACKGROUND Consider an FBG fabricated

Park, Yong-Lae

335

Similarity of Position Frequency Matrices for Transcription Factor Binding Sites  

E-Print Network [OSTI]

approximating the binding energy of the profiled transcription factor. Comparison tools for TFBS PFMs: Software is available to use over the web at http://rulai.cshl.edu/MatCompare Contact: dschones, sumazin to the average log likelihood ratio method and the Pearson correlation coef- ficient method on simulated data

336

OPTIMALITY, COMPUTATION, AND INTERPRETATION OF NONNEGATIVE MATRIX FACTORIZATIONS  

E-Print Network [OSTI]

, is an observational technique within the air pollution re- search community which makes use of the ambient data that the factors are to be retrieved in the mining process. A linear model, therefore, assumes the relationship Y was supported in part by the Air Force Office of Scientific Research under grant AFOSR-F49620

Plemmons, Robert J.

337

OPTIMALITY, COMPUTATION, AND INTERPRETATION OF NONNEGATIVE MATRIX FACTORIZATIONS  

E-Print Network [OSTI]

, is an observational technique within the air pollution re­ search community which makes use of the ambient data that the factors are to be retrieved in the mining process. A linear model, therefore, assumes the relationship Y was supported in part by the Air Force O#ce of Scientific Research under grant AFOSR­F49620

338

Measuring Project Quality Factors Critical to Project Success  

E-Print Network [OSTI]

Measuring Project Quality ­ Factors Critical to Project Success Presented by Thomas Howe P available to measure and track project cost (cheap) and schedule (fast), the measurement and monitoring of project quality (good) is at best underdeveloped. While qualitative measures of project cost and schedule

Calgary, University of

339

Solar Neutrino Fluxes Using The Exponential S-Factor  

SciTech Connect (OSTI)

Recently we propose an exponential form for the astrophysical S-factor. This form produces about 20% more solar 3He production through the 3He-3He reaction. In this note, we investigate the effects on the 7Be and 8B neutrino productions since the neutrino fluxes depend on the 3He abundance.

Kassim, Hasan Abu; Jalil, Ithnin Abdul; Yusof, Norhasliza [Department of Physics, University of Malaya, 50603 Kuala Lumpur (Malaysia)

2006-07-12T23:59:59.000Z

340

Computing prime factors with a Josephson phase qubit quantum processor  

E-Print Network [OSTI]

A quantum processor (QuP) can be used to exploit quantum mechanics to find the prime factors of composite numbers[1]. Compiled versions of Shor's algorithm have been demonstrated on ensemble quantum systems[2] and photonic systems[3-5], however this has yet to be shown using solid state quantum bits (qubits). Two advantages of superconducting qubit architectures are the use of conventional microfabrication techniques, which allow straightforward scaling to large numbers of qubits, and a toolkit of circuit elements that can be used to engineer a variety of qubit types and interactions[6, 7]. Using a number of recent qubit control and hardware advances [7-13], here we demonstrate a nine-quantum-element solid-state QuP and show three experiments to highlight its capabilities. We begin by characterizing the device with spectroscopy. Next, we produces coherent interactions between five qubits and verify bi- and tripartite entanglement via quantum state tomography (QST) [8, 12, 14, 15]. In the final experiment, we run a three-qubit compiled version of Shor's algorithm to factor the number 15, and successfully find the prime factors 48% of the time. Improvements in the superconducting qubit coherence times and more complex circuits should provide the resources necessary to factor larger composite numbers and run more intricate quantum algorithms.

Erik Lucero; Rami Barends; Yu Chen; Julian Kelly; Matteo Mariantoni; Anthony Megrant; Peter O'Malley; Daniel Sank; Amit Vainsencher; James Wenner; Ted White; Yi Yin; Andrew N. Cleland; John M. Martinis

2012-02-26T23:59:59.000Z

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Functional Analysis of Putative Adhesion Factors in Lactobacillus acidophilus NCFM  

Science Journals Connector (OSTI)

...protocols have emerged, each with its own benefits and shortcomings. After evaluating different...confirm those key factors. FIG. 1. Grid pattern used for microscopic enumeration...15 Gopal, P. K., J. Prasad, J. Smart, and H. S. Gill. 2001. In vitro adherence...

B. Logan Buck; Eric Altermann; Tina Svingerud; Todd R. Klaenhammer

2005-12-01T23:59:59.000Z

342

Measurements of Form Factors with the BaBar Experiment  

SciTech Connect (OSTI)

Selected recent results on measurements of form factors by the BaBar Collaboration are reviewed, including e{sup +}e{sup -} {yields} {eta}{prime}{gamma}, leptonic and semileptonic charm decays from data collected at or near the {Upsilon}(4S) resonance.

Li, Selina Z.; /SLAC

2011-08-25T23:59:59.000Z

343

Satisfier and dissatisfier factors of websites users: an exploratory study  

Science Journals Connector (OSTI)

This exploratory study aims at identifying satisfier and dissatisfier factors of website clients. Herzberg's classic bifactorial model of motivation, which has been transposed by Zhang and von Dran [1] to the analysis of (dis)satisfaction with websites, ... Keywords: bifactorial model, usability, users satisfaction, websites quality

Isabel Pinho; Arménio Rego; Elisabeth Kastenholz

2007-05-01T23:59:59.000Z

344

SEISMIC WAVES ESTIMATION AND WAVE FIELD DECOMPOSITION WITH FACTOR GRAPHS  

E-Print Network [OSTI]

SEISMIC WAVES ESTIMATION AND WAVE FIELD DECOMPOSITION WITH FACTOR GRAPHS Stefano Maranò Christoph, Dept. Information Technology & Electr. Eng., 8092 Zürich ABSTRACT Physical wave fields are often from sensors of different kinds. In this paper we propose a technique for the analysis of vector wave

Loeliger, Hans-Andrea

345

Neoclassical Factors The Eli Broad College of Business  

E-Print Network [OSTI]

Neoclassical Factors Long Chen The Eli Broad College of Business Michigan State University Lu Zhang of average stock returns. Department of Finance, The Eli Broad College of Business, Michigan State-0282, and e-mail: zhanglu@bus.umich.edu. For helpful discussions, we thank Sreedhar Bharath, Ken French

Chaudhuri, Sanjay

346

Factorization and resummation for collinear poles in QCD amplitudes  

SciTech Connect (OSTI)

We study the origin of subleading soft and collinear poles of form factors and amplitudes in dimensionally-regulated massless gauge theories. In the case of form factors of fundamental fields, these poles originate from a single function of the coupling, denoted G({alpha}{sub s}), depending on both the spin and gauge quantum numbers of the field. We relate G({alpha}{sub s}) to gauge-theory matrix elements involving the gluon field strength. We then show that G({alpha}{sub s}) is the sum of three terms: a universal eikonal anomalous dimension, a universal non-eikonal contribution, given by the coefficient B{sub {delta}}({alpha}{sub s}) of {delta}(1-z) in the collinear evolution kernel, and a process-dependent short-distance coefficient function, which does not contribute to infrared poles. Using general results on the factorization of soft and collinear singularities in fixed-angle massless gauge theory amplitudes, we conclude that all such singularities are captured by the eikonal approximation, supplemented only by the knowledge of B{sub {delta}}({alpha}{sub s}). We explore the consequences of our results for conformal gauge theories, where in particular we find a simple exact relation between the form factor and the cusp anomalous dimension.

Dixon, Lance J.; Magnea, Lorenzo; Sterman, George

2008-05-28T23:59:59.000Z

347

Factors affecting Iran`s future. Final report  

SciTech Connect (OSTI)

This study examines the factors affecting Iran`s future by focusing on the demographic, economic, and military trends in Iran and their impact on the country`s national security objectives in the next decade. The paper also assesses the implications of an economic embargo on Iran and potential Iranian threats to regional and United States national interests.

Sinai, J.

1993-05-28T23:59:59.000Z

348

Optimization Methods for Binary Sequences The Merit Factor Problem  

E-Print Network [OSTI]

Optimization Methods for Binary Sequences ­ The Merit Factor Problem Ron Ferguson, Joshua Knauer SFU MOCAA Project Leader: Peter Borwein MITACS 6th Annual Conference, May, 2005 Abstract Optimization of much interest in combinatorial optimization, communications engineering, and analytic number theory

349

Solar Correction Factors of Building Envelope in Tebei  

E-Print Network [OSTI]

weather data, this paper compares the solar energy of a typical city, Lassa, in Tebei with that of another city that has the same degree-days of heating period, calculates the heating energy for the building, and proposes the solar correction factors...

Wang, D.; Tang, M.

2006-01-01T23:59:59.000Z

350

RARE EARTH ELEMENT SENSITIVITY FACTORS IN CALCIC PLAGIOCLASE (ANORTHITE)  

E-Print Network [OSTI]

RARE EARTH ELEMENT SENSITIVITY FACTORS IN CALCIC PLAGIOCLASE (ANORTHITE) C. Floss and B. Jolliff Mc Brookings Drive, St. Louis, MO 63130 1. Introduction The rare earth elements (REE) are sensitive indicators concentrations for each sample are listed in Table 1 and are shown in Fig. 1. Table 1. Rare Earth Element Data

351

Factorization law for two lower bounds of concurrence  

SciTech Connect (OSTI)

We study the dynamics of two lower bounds of concurrence in bipartite quantum systems when one party goes through an arbitrary channel. We show that these lower bounds obey the factorization law similar to that of [Konrad et al., Nat. Phys. 4, 99 (2008)]. We also discuss the application of this property in an example.

Mirafzali, Sayyed Yahya; Sargolzahi, Iman; Ahanj, Ali; Javidan, Kurosh; Sarbishaei, Mohsen [Department of Physics, Ferdowsi University of Mashhad, Mashhad (Iran, Islamic Republic of); Khayyam Institute of Higher Education, Mashhad, Iran and School of Physics, Institute for Research in Fundamental Science (IPM), P. O. Box 19395-5531, Tehran (Iran, Islamic Republic of); Department of Physics, Ferdowsi University of Mashhad, Mashhad (Iran, Islamic Republic of)

2010-09-15T23:59:59.000Z

352

ELECTRICITY CASE: ECONOMIC COST ESTIMATION FACTORS FOR ECONOMIC  

E-Print Network [OSTI]

ELECTRICITY CASE: ECONOMIC COST ESTIMATION FACTORS FOR ECONOMIC ASSESSMENT OF TERRORIST ATTACKS Zimmerman, R. CREATE REPORT Under FEMA Grant EMW-2004-GR-0112 May 31, 2005 Center for Risk and Economic #12;2 Abstract The major economic effects of electric power outages are usually associated with three

Wang, Hai

353

CALL FOR PAPERS HUMAN FACTORS IN SOFTWARE DEVELOPMENT  

E-Print Network [OSTI]

of practice, knowledge sharing and organizational learning Interaction in large scale online communities of effective coordination among the developers and factors such as developer motivation and organizational the patterns in which communities work Human and Organizational Issues particular to Agile software

Vellekoop, Michel

354

Time and Energy Efficient Matrix Factorization using FPGAs  

E-Print Network [OSTI]

interconnects, leading to lower energy dissipation. The designs are made scalable by us- ing a fixed ITime and Energy Efficient Matrix Factorization using FPGAs Seonil Choi and Viktor K. Prasanna devices are proposed. A linear ar- ray architecture is employed to minimize the usage of long

Prasanna, Viktor K.

355

Is G a conversion factor or a fundamental unit?  

E-Print Network [OSTI]

By using fundamental units c, h, G as conversion factors one can easily transform the dimensions of all observables. In particular one can make them all ``geometrical'', or dimensionless. However this has no impact on the fact that there are three fundamental units, G being one of them. Only experiment can tell us whether G is basically fundamental.

G. Fiorentini; L. Okun; M. Vysotsky

2001-12-04T23:59:59.000Z

356

Learning personal + social latent factor model for social recommendation  

Science Journals Connector (OSTI)

Social recommendation, which aims to systematically leverage the social relationships between users as well as their past behaviors for automatic recommendation, attract much attention recently. The belief is that users linked with each other in social ... Keywords: personal + social factor, social recommender system

Yelong Shen; Ruoming Jin

2012-08-01T23:59:59.000Z

357

Extracting Key Factors to Design Applications in Ambient Intelligence Environment  

Science Journals Connector (OSTI)

In an ambient intelligence environment, the design of applications influences the users behavior heavily. The purpose of this paper is to provide key factors considered necessary in developing those applications. We developed four applications applied ... Keywords: ambient feedback, persuasive technology, behavior modification, emotional engagement

Hiroaki Kimura; Tatsuo Nakajima

2008-12-01T23:59:59.000Z

358

Precision Corrections to Dispersive Bounds on Form Factors  

E-Print Network [OSTI]

We present precision corrections to dispersion relation bounds on form factors in bottom hadron semileptonic decays and analyze their effects on parameterizations derived from these bounds. We incorporate QCD two-loop and nonperturbative corrections to the two-point correlator, consider form factors whose contribution to decay rates is suppressed by lepton mass, and implement more realistic estimates of truncation errors associated with the parameterizations. We include higher resonances in the hadronic sum that, together with heavy quark symmetry relations near zero recoil, further tighten the sum rule bounds. Utilizing all these improvements, we show that each of the six form factors in B --> D l nu and B --> D^* l nu can be described with 3% or smaller precision using only the overall normalization and one unknown parameter. A similar one-coefficient parameterization of one of the Lambda_b --> Lambda_c l nu form factors, together with heavy quark symmetry relations valid to order 1/m^2, describes the differential baryon decay rate in terms of one unknown parameter and the phenomenologically interesting quantity (\\bar Lambda)_Lambda \\approx M_{Lambda_b} - m_b. We discuss the validity of slope-curvature relations derived by Caprini and Neubert, and present weaker, corrected relations. Finally, we present sample fits of current experimental B --> D^*l nu and B --> D l nu data to the improved one-parameter expansion.

C. Glenn Boyd; Benjamin Grinstein; Richard F. Lebed

1997-05-07T23:59:59.000Z

359

Ecological factors and human threats both drive wildfowl population declines  

E-Print Network [OSTI]

; human population density. Correspondence Peter R. Long, Department of Biology and Biochemistry, Africa and Asia. Second, we use phylogenetic comparative analyses to test whether population size, globalEcological factors and human threats both drive wildfowl population declines P. R. Long1 , T. Sz

360

MUSICAL AUDIO STREAM SEPARATION BY NON-NEGATIVE MATRIX FACTORIZATION  

E-Print Network [OSTI]

MUSICAL AUDIO STREAM SEPARATION BY NON-NEGATIVE MATRIX FACTORIZATION Beiming Wang Queen Mary audio into streams of individual sound sources, such as instruments or voice. In this paper, we show) algorithm. The system was tested on both artificially mixed audio and real musical recording. This work

Plumbley, Mark

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Risk factors for injury accidents among moped and motorcycle riders  

E-Print Network [OSTI]

Risk factors for injury accidents among moped and motorcycle riders Aurélie Moskal a , Jean on the vehicle. Moped and motorcycle riders are analyzed separately, adjusting for the main characteristics of the accident. Results: for both moped and motorcycle riders, being male, not wearing a helmet, exceeding

Paris-Sud XI, Université de

362

Determining size-specific emission factors for environmental tobacco smoke  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Determining size-specific emission factors for environmental tobacco smoke Determining size-specific emission factors for environmental tobacco smoke particles Title Determining size-specific emission factors for environmental tobacco smoke particles Publication Type Journal Article Year of Publication 2003 Authors Klepeis, Neil E., Michael G. Apte, Lara A. Gundel, Richard G. Sextro, and William W. Nazaroff Journal Aerosol Science & Technology Volume 37 Start Page Chapter Pagination 780-790 Date Published October 2003 Abstract Because size is a major controlling factor for indoor airborne particle behavior, human particle exposure assessments will benefit from improved knowledge of size-specific particle emissions. We report a method of inferring size-specific mass emission factors for indoor sources that makes use of an indoor aerosol dynamics model, measured particle concentration time series data, and an optimization routine. This approach provides -- in addition to estimates of the emissions size distribution and integrated emission factors -- estimates of deposition rate, an enhanced understanding of particle dynamics, and information about model performance. We applied the method to size-specific environmental tobacco smoke (ETS) particle concentrations measured every minute with an 8-channel optical particle counter (PMS-LASAIR; 0.1-2+ micrometer diameters) and every 10 or 30 min with a 34-channel differential mobility particle sizer (TSI-DMPS; 0.01-1+ micrometer diameters) after a single cigarette or cigar was machine-smoked inside a low air-exchange rate 20m^3 chamber. The aerosol dynamics model provided good fits to observed concentrations when using optimized values of mass emission rate and deposition rate for each particle size range as input. Small discrepancies observed in the first 1-2 hours after smoking are likely due to the effect of particle evaporation, a process neglected by the model. Size-specific ETS particle emission factors were fit with log-normal distributions, yielding an average mass median diameter of 0.2 micrometers and an average geometric standard deviation of 2.3 with no systematic differences between cigars and cigarettes. The equivalent total particle emission rate, obtained by integrating each size distribution, was 0.2-0.7 mg/min for cigars and 0.7-0.9 mg/min for cigarettes

363

The mechanism of coking pressure generation II: Effect of high volatile matter coking coal, semi-anthracite and coke breeze on coking pressure and contraction  

Science Journals Connector (OSTI)

One of the most important aspects of the cokemaking process is to control and limit the coking pressure since excessive coking pressure can lead to operational problems and oven wall damage. Following on from a previous paper on plastic layer permeability we have studied the effect of contraction of semi-coke on coking pressure and the effect of organic additives on contraction. A link between contraction (or simulated contraction) outside the plastic layer and coking pressure was demonstrated. The interaction between this contraction, local bulk density around the plastic layer and the dependence of the permeability of the plastic layer on bulk density was discussed as possible mechanisms for the generation of coking pressure. The effect of blending either a high volatile matter coal or one of two semi-anthracites with low volatile matter, high coking pressure coals on the coking pressure of the binary blends has been explained using this mechanism.

Merrick Mahoney; Seiji Nomura; Koichi Fukuda; Kenji Kato; Anthony Le Bas; David R. Jenkins; Sid McGuire

2010-01-01T23:59:59.000Z

364

Engineering phenolics metabolism in the grasses using transcription factors  

SciTech Connect (OSTI)

The economical competitiveness of agriculture-derived biofuels can be significantly enhanced by increasing biomass/acre yields and by furnishing the desired carbon balance for facilitating liquid fuel production (e.g., ethanol) or for high-energy solid waste availability to be used as biopower (e.g., for electricity production). Biomass production and carbon balance are tightly linked to the biosynthesis of phenolic compounds, which are found in crops and in agricultural residues either as lignins, as part of the cell wall, or as soluble phenolics which play a variety of functions in the biology of plants. The grasses, in particular maize, provide the single major source of agricultural biomass, offering significant opportunities for increasing renewable fuel production. Our laboratory has pioneered the use of transcription factors for manipulating plant metabolic pathways, an approach that will be applied here towards altering the composition of phenolic compounds in maize. Previously, we identified a small group of ten maize R2R3-MYB transcription factors with all the characteristics of regulators of different aspects of phenolic biosynthesis. Here, we propose to investigate the participation of these R2R3-MYB factors in the regulation of soluble and insoluble maize phenolics, using a combination of over-expression and down-regulation of these transcription factors in transgenic maize cultured cells and in maize plants. Maize cells and plants altered in the activity of these regulatory proteins will be analyzed for phenolic composition by targeted metabolic profiling. Specifically, we will I) Investigate the effect of gain- and loss-of-function of a select group of R2R3-MYB transcription factors on the phenolic composition of maize plants and II) Identify the biosynthetic genes regulated by each of the selected R2R3-MYB factors. While a likely outcome of these studies are transgenic maize plants with altered phenolic composition, this research will significantly contribute to understanding how different branches of the phenolic biosynthetic grid are regulated. Given the conservation of the selected regulators in other grasses, results derived from this project are likely to provide important tools for the manipulation of phenolic compounds in other emerging biomass producers (e.g., switchgrass or miscanthus), either through conventional breeding techniques (e.g., marker-assisted breeding) or by using transgenic approaches.

Grotewold, Erich [The Ohio State University

2013-07-26T23:59:59.000Z

365

The Human Factors and Ergonomics EFA The field of Human Factors and Ergonomics (HFE) represents an increasingly important engineering specialty. The  

E-Print Network [OSTI]

The Human Factors and Ergonomics EFA The field of Human Factors and Ergonomics (HFE) represents cognitive characteristics and ergonomics considers physical characteristics. The HFE EFA builds allow for an emphasis in human factors (HF) or ergonomics (Ergo). Required courses: Semester Course

Kusiak, Andrew

366

S6-3: Influence of Hospital Factors, Physician Factors and Type of Health Insurance on Receipt of Immediate Postmastectomy Reconstruction in Young Women with Breast Cancer.  

Science Journals Connector (OSTI)

...San Antonio, TX S6-3: Influence of Hospital Factors, Physician Factors and Type...evaluated the association of demographic, hospital, physician and insurance factors with...that samples more than 500 acute-care hospitals throughout the United States that contribute...

DL Hershman; AI Neugut; CA Richards; K Kalinsky; AS Charles; JD Wright

2012-02-24T23:59:59.000Z

367

Expression of Nuclear Factor-?B and I?B? Proteins in Prostatic Adenocarcinomas: Correlation of Nuclear Factor-?B Immunoreactivity with Disease Recurrence  

Science Journals Connector (OSTI)

...Pharmaceuticals, Inc. The costs of publication of this...edu. Fig. 1. A, nuclear factor-kB (NFkB...Hashizume K, et al Nuclear factor-kB p65 (RelA...Jaffe BM, Beckman BS. NF-kB-mediated...expression of RelA/nuclear factor-kB protein correlates...

Jeffrey S. Ross; Bhaskar V. S. Kallakury; Christine E. Sheehan; Hugh A. G. Fisher; Ronald P. Kaufman, Jr.; Prabhjot Kaur; Karen Gray; and Bradley Stringer

2004-04-01T23:59:59.000Z

368

Function of transcription termination factor .rho. in a model transcription system using synthetic DNA as template  

Science Journals Connector (OSTI)

Function of transcription termination factor .rho. in a model transcription system using synthetic DNA as template ...

Katsuya Shigesada; Mutsuo Imai

1982-11-01T23:59:59.000Z

369

Screening for metabolic syndrome risk factors in mestizo, tarahumara and mennonite scholars from Chihuahua Mexico  

Science Journals Connector (OSTI)

To screen for MS risk factors among mestizo, tarahumara and mennonite teenagers from Chihuahua, Mexico.

I Leal-Berumen; V Santana-Rodriguez; P Hernández-Rodríguez…

2012-06-01T23:59:59.000Z

370

Active roles for inhibitory ?B kinases ? and ? in nuclear factor-?B–mediated chemoresistance to doxorubicin  

Science Journals Connector (OSTI)

...Baldwin) equally. The costs of publication of this...transcription factor nuclear factor-kappaB (NF-kappaB...Evidence that activation of nuclear factor-kappaB is essential...regulation of RelA (p65) nuclear factor-kappaB transactivation...Stinchcombe TE, Mitchell BS, et al. Phase I trial...

Brian K. Bednarski; Xiaoyu Ding; Kavita Coombe; Albert S. Baldwin; and Hong J. Kim

2008-07-01T23:59:59.000Z

371

2008 Guidelines to Defra's GHG Conversion Methodology Paper for Transport Emission Factors  

E-Print Network [OSTI]

2008 Guidelines to Defra's GHG Conversion Factors: Methodology Paper for Transport Emission Factors by the Department for Environment, Food and Rural Affairs #12;2008 Guidelines to Defra's GHG Conversion Factors and to update the Guidelines to Defra's Greenhouse Gas (GHG) Conversion Factors, which represent the current

372

2009 Guidelines to Defra / DECC's GHG Conversion Factors for Company Reporting  

E-Print Network [OSTI]

2009 Guidelines to Defra / DECC's GHG Conversion Factors for Company Reporting: Methodology Paper for Emission Factors October 2009 www.defra.gov.uk #12;2009 Guidelines to Defra / DECC's GHG Conversion Factors and Rural Affairs #12;2009 Guidelines to Defra / DECC's GHG Conversion Factors: Methodology Paper

373

Convergence of Hormones, Inflammation, and Energy-Related Factors: A Novel Pathway of Cancer Etiology  

Science Journals Connector (OSTI)

...insulin-related factors. Energy-Related Factors...and cancer risk factor identification...R . Nutrition, energy balance and colon...insulin-like growth factor-I. IARC Sci Publ...TCF7L2) gene predict conversion to type 2 diabetes...

Martha L. Slattery and F.A. Fitzpatrick

2009-11-01T23:59:59.000Z

374

Bioaccumulation of Organic Contaminants by Diporeia spp.: Kinetics and Factors Affecting Bioavailability  

E-Print Network [OSTI]

data will help confirm the preliminary comparison. Figure 1: Biota-sediment accumulation factor (BSAF

375

Low Dose Radiation Research Program: Genetic Factors Affecting  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Genetic Factors Affecting Susceptibility to Low-Doses of Ionizing Genetic Factors Affecting Susceptibility to Low-Doses of Ionizing Radiation. Authors: William F. Morgan, Pat Concannon & John H.J. Petrini The goal of this program is to test the hypothesis that mice heterozygous for the NBS1 gene are genetically susceptible to low doses of ionizing radiation. Patients with Nijmegen Breakage Syndrome (NBS) are radiation sensitive, because of defects in cellular responses to radiation induced genetic damage. It is unclear whether humans heterozygous for the mutations associated with NBS are radiation sensitive and results from cell culture experiments give conflicting results. In collaboration with John Petrini at the Memorial Sloan Kettering Cancer Center in New York City we developed a mouse model of this disorder and are directly testing the hypothesis

376

Geological and Anthropogenic Factors Influencing Mercury Speciation in Mine  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Geological and Anthropogenic Factors Influencing Mercury Speciation Geological and Anthropogenic Factors Influencing Mercury Speciation in Mine Wastes Christopher S. Kim,1 James J. Rytuba,2 Gordon E. Brown, Jr.3 1Department of Physical Sciences, Chapman University, Orange, CA 92866 2U.S. Geological Survey, Menlo Park, CA 94025 3Department of Geological and Environmental Sciences, Stanford University, Stanford, CA 94305 Introduction Figure 1. Dr. Christopher Kim collects a mine waste sample from the Oat Hill mercury mine in Northern California. The majority of mercury mine wastes at these sites are present as loose, unconsolidated piles, facilitating the transport of mercury-bearing material downstream into local watersheds. Mercury (Hg) is a naturally occurring element that poses considerable health risks to humans, primarily through the consumption of fish which

377

Compressibility factors for retrograde gases: a new correlation  

E-Print Network [OSTI]

CI o CD ID CI N O CD IA O O CD O 00 CD 00 O O CQ CD CD F) 0& CD O CD O CD N N o o CO IA N 00 CD N N Q) CD CD ID CO P3 O N O O o O VO O 00 N O O CD N CO ICI O O IA LD N N P O N CD O CD O N CO IA N... + + ?+ + + -------+-- f4 +, ', ? +++? + + + ++ + + + + + ?+ + + + + + + + +? + , ++t &4+try ?+ I+ + + 0. 6 0. 8 1. 0 1. 2 1. 4 1. 6 1. 8 MEASURED Z FACTOR Figure 3. 6 Residual Error in Calculating the Compressibility Factor Using Pseudocritical...

Corredor Real, Jairo Hernando

2012-06-07T23:59:59.000Z

378

Octet Baryon Electromagnetic Form Factors in a Relativistic Quark Model  

SciTech Connect (OSTI)

We study the octet baryon electromagnetic properties by applying the covariant spectator quark model, and provide covariant parametrization that can be used to study baryon electromagnetic reactions. While we use the lattice QCD data in the large pion mass regime (small pion cloud effects) to determine the parameters of the model in the valence quark sector, we use the nucleon physical and octet baryon magnetic moment data to parameterize the pion cloud contributions. The valence quark contributions for the octet baryon electromagnetic form factors are estimated by extrapolating the lattice parametrization in the large pion mass regime to the physical regime. As for the pion cloud contributions, we parameterize them in a covariant, phenomenological manner, combined with SU(3) symmetry. We also discuss the impact of the pion cloud effects on the octet baryon electromagnetic form factors and their radii.

Gilberto Ramalho, Kazuo Tsushima

2011-09-01T23:59:59.000Z

379

The Mainz high-precision proton form factor measurement  

SciTech Connect (OSTI)

An extensive measurement of the elastic H(e, e')p reaction in the Q{sup 2}-region from 0.003 to 1 (GeV/c){sup 2} has been performed with the 3-spectrometer-setup of the A1 collaboration at the Mainz Microtron. The dataset consists of about 3000 overlapping cross section measurements with a high level of internal redundancy. The large number of precisely measured cross sections allow for a determination of the electric and magnetic form factors with strict control over statistical and systematic errors, in particular also of the charge and magnetization radii of the proton. Besides the classical Rosenbluth separation, the form factors are separated by direct, global fits of different sufficiently flexible models.

Bernauer, Jan C. [Institute for Nuclear Physics, University Mainz, Johann-Joachim-Becher-Weg 45, 55128 Mainz (Germany)

2010-08-05T23:59:59.000Z

380

Simple LMFBR axial-flow friction-factor correlation  

SciTech Connect (OSTI)

Complicated LMFBR axial lead-length averaged friction-factor correlations are reduced to an easy, ready-to-use function of bundle Reynolds number for wire-wrapped bundles. The function together with the power curves to calculate the associated constants are incorporated in a computer preprocessor, EZFRIC. The constants required for the calculation of the subchannels and bundle friction factors are derived and correlated into power curves of geometrical parameters. A computer program, FRIC, which can alternatively be used to accurately calculate these constants is also included. The accurate values of the constants and the corresponding values predicted by the power curves and percentage error of prediction are tabulated for a wide variety of geometries of interest.

Chan, Y.N.; Todreas, N.E.

1982-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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to obtain the most current and comprehensive results.


381

XAFS Debye-Waller factors for Zn metalloproteins  

SciTech Connect (OSTI)

An accurate and practical method for the calculation and use of thermal x-ray absorption fine structure (XAFS) Debye-Waller factors (DWFs) in active sites of metalloproteins is presented. These factors are calculated on model clusters within the local density functional approximation with nonlocal corrections. The DWFs are mapped out and parametrized as a function of the first shell distance and an angle (where applicable), for all significant single and multiple scattering paths, as well as the sample temperature. This approach is applied to the biologically essential but spectroscopically silent Zn{sup +2} active sites composed of histidines, cysteines, and carboxylate ligands in homogeneous and heterogeneous environments. Detailed analysis of the relative scattering paths for Zn metalloproteins using projected vibrational density of states further explain why these paths are not detectable by XAFS for first shell metal-ligand distances above a 'cutoff' value.

Dimakis, Nicholas; Bunker, Grant [Illinois Institute of Technology, 3300 South Federal Street, Chicago, Illinois 60616-3793 (United States)

2004-11-15T23:59:59.000Z

382

Experimental realisation of Shor's quantum factoring algorithm using qubit recycling  

E-Print Network [OSTI]

Quantum computational algorithms exploit quantum mechanics to solve problems exponentially faster than the best classical algorithms. Shor's quantum algorithm for fast number factoring is a key example and the prime motivator in the international effort to realise a quantum computer. However, due to the substantial resource requirement, to date, there have been only four small-scale demonstrations. Here we address this resource demand and demonstrate a scalable version of Shor's algorithm in which the n qubit control register is replaced by a single qubit that is recycled n times: the total number of qubits is one third of that required in the standard protocol. Encoding the work register in higher-dimensional states, we implement a two-photon compiled algorithm to factor N=21. The algorithmic output is distinguishable from noise, in contrast to previous demonstrations. These results point to larger-scale implementations of Shor's algorithm by harnessing scalable resource reductions applicable to all physical architectures.

Enrique Martin-Lopez; Anthony Laing; Thomas Lawson; Roberto Alvarez; Xiao-Qi Zhou; Jeremy L. O'Brien

2011-11-17T23:59:59.000Z

383

Meson cloud contributions to baryon axial form factors  

E-Print Network [OSTI]

The axial form factor as well as the axial charge of octet baryons are studied in the perturbative chiral quark model (PCQM) with the quark wave functions predetermined by fitting the theoretical results of the proton charge form factor to experimental data. The theoretical results are found, based on the predetermined quark wave functions, in good agreement with experimental data and lattice values. This may indicate that the electric charge and axial charge distributions of the constituent quarks are the same. The study reveals that the meson cloud plays an important role in the axial charge of octet baryons, contributing 30%-40% to the total values, and strange sea quarks have a considerable contribution to the axial charge of the $\\Sigma$ and $\\Xi$.

X. Y. Liu; K. Khosonthongkee; A. Limphirat; P. Suebka; Y. Yan

2014-08-01T23:59:59.000Z

384

Triton Electric Form Factor at Low-Energies  

E-Print Network [OSTI]

Making use of the Effective Field Theory(EFT) expansion recently developed by the authors, we compute the charge form factor of triton up to next-to-next-to-leading order (N$^2$LO). The three-nucleon forces(3NF) is required for renormalization of the three-nucleon system and it effects are predicted for process and is qualitatively supported by available experimental data. We also show that, by including higher order corrections, the calculated charge form factor and charge radius of $^3$H are in satisfactory agreement with the experimental data and the realistic Argonne $v_{18}$ two-nucleon and Urbana IX potential models calculations. This method makes possible a high precision few-body calculations in nuclear physics. Our result converges order by order in low energy expansion and also cut-off independent.

H. Sadeghi

2009-08-14T23:59:59.000Z

385

Ultraviolet Divergences and Factorization for Coordinate-Space Amplitudes  

E-Print Network [OSTI]

We consider the coordinate-space matrix elements that correspond to fixed-angle scattering amplitudes involving partons and Wilson lines in coordinate space, working in Feynman gauge. In coordinate space, both collinear and short-distance limits produce ultraviolet divergences. We classify singularities in coordinate space, and identify neighborhoods associated unambiguously with individual subspaces (pinch surfaces) where the integrals are singular. The set of such regions is finite for any diagram. Within each of these regions, coordinate-space soft-collinear and hard-collinear approximations reproduce singular behavior. Based on this classification of regions and approximations, we develop a series of nested subtraction approximations by analogy to the formalism in momentum space. This enables us to rewrite each amplitude as a sum of terms to which gauge theory Ward identities can be applied, factorizing them into hard, jet and soft factors, and to confirm the multiplicative renormalizability of products o...

Erdo?an, Ozan

2014-01-01T23:59:59.000Z

386

Determination of dilution factors in a nuclear facility  

E-Print Network [OSTI]

location was found to be 909. From the results of this study it was determined that the described method can be used to determine dilu- tion factors in any facility effectively. ACKNOWLEDGENENTS I wish to express my sincere appreciation to Dr. R. D... and diverse studies. Atmospheric dispersion of particles and gases from the atomic energy field is constantly being studied. Emperical dispersion calculations for aerosol releases into the atmosphere are well known ' . In addition, (1, 2) studies...

Sandel, Philip Sidney

1972-01-01T23:59:59.000Z

387

Factors contributing to resistance of cotton to pink bollworm attack  

E-Print Network [OSTI]

cage used in the anti?biosis s t u d y . . . . . . . . . . . . . . . . 5 ? 0 Appendix II. Figure 1* Pink bollworm emergence data, College Station, Texas ,19f?6-195>8. . 1^2 FACTORS CONTRIBUTING TO RESISTANCE OF COTTON TO PINK BOLLWORM ATTACK... hybrids resulting from crosses of aphid- resistant and susceptible cantaloupes were resistant and that the F2 progeny were three-fourths resistant and one- fourth susceptible* This typical Mendellan ratio indicates that resistance was due to a single...

Williams, Robert Kenneth

2013-10-04T23:59:59.000Z

388

Integrated high quality factor lithium niobate microdisk resonators  

E-Print Network [OSTI]

Lithium Niobate (LN) is an important nonlinear optical material. Here we demonstrate LN microdisk resonators that feature optical quality factor ~ 100,000, realized using robust and scalable fabrication techniques, that operate over a wide wavelength range spanning visible and near infrared. Using our resonators, and leveraging LN's large second order optical nonlinearity, we demonstrate on-chip second harmonic generation with a conversion efficiency of 0.109 W-1.

Wang, Cheng; Lin, Zin; Atikian, Haig A; Venkataraman, Vivek; Huang, I-Chun; Stark, Peter; Lon?ar, Marko

2014-01-01T23:59:59.000Z

389

Nucleon generalized form factors with twisted mass fermions  

E-Print Network [OSTI]

We present results on the nucleon form factors, momentum fraction and helicity moment for $N_f=2$ and $N_f=2+1+1$ twisted mass fermions for a number of lattice volumes and lattice spacings. First results for a new $N_f=2$ ensemble at the physical pion mass are also included. The implications of these results on the spin content of the nucleon are discussed taking into account the disconnected contributions at one pion mass.

C. Alexandrou; M. Constantinou; V. Drach; K. Jansen; Ch. Kallidonis; G. Koutsou

2013-12-10T23:59:59.000Z

390

Global Health: Behavioral and Dietary Risk Factors for Noncommunicable Diseases  

Science Journals Connector (OSTI)

...affected population health in the past or how they may do so in the future. In this article, we summarize the available data on trends in selected behavioral and dietary risk factors for noncommunicable diseases and examine the effects they have had, or may have in the future, on the health of populations... This review in the Global Health series focuses on the role of smoking, alcohol, and obesity in the burden of noncommunicable disease.

Ezzati M.; Riboli E.

2013-09-05T23:59:59.000Z

391

Utility & Regulatory Factors Affecting Cogeneration & Independent Power Plant Design & Operation  

E-Print Network [OSTI]

UTILITY & REGULATORY FACTORS AFFECTiNG COGENERATION & INDEPENDENT POWER PLANT DESIGN & OPERATION Richard P. Felak General Electric Company Schenectady, New York ABSTRACT In specifying a cogeneration or independent power plant, the owner... should be especially aware of the influences which electric utilities and regulatory bodies will have on key parameters such as size, efficiency, design. reliability/ availabilitY, operating capabilities and modes, etc. This paper will note examples...

Felak, R. P.

392

Power factor and harmonic distortion characteristics of energy efficient lamps  

SciTech Connect (OSTI)

This paper evaluates the performance of a new class of lamps which are generally classified as the energy-saving lamps. It is shown that, when compared with the incandescent lamps, these lamps indeed consume less real power and have higher relative illumination. However, the energy-saving lamps operate at a low power factor and produce current distortion which are much higher than the distortion produced by the traditional incandescent lamps.

Etezadi-Amoli, M.; Florence, T.

1989-07-01T23:59:59.000Z

393

Factors Associated with Occuptional Socialization in Rural Nepal  

E-Print Network [OSTI]

94 FACTORS ASSOCIATED WITH OCCUPATIONAL SOCIALIZATION IN RURAL NEPAL Kiran Dutra Upadhyay A country's future development is shouldered by the youth, especially in Nepal, where the majority of the populace is young and lives in rural areas. However... their future careers. Because 1985 was declared "International Youth Year", Nepal should examine the plight of its rural youth, their occupational aspirations and expectations. First and foremost, this paper aims to operationalize the term occupational...

Upadhyay, Kiran Dutta

1987-01-01T23:59:59.000Z

394

Factors influencing germination of tropical kudzu (Pueraria phaseoloides, Benth.  

E-Print Network [OSTI]

example of this factor is the presence in water extract of red closer seed of a substanoe whish ~ the gersdnaticn of scam seeds cf Qremhmae and whish inhibitor to a certain extent~ the gersdnation of seeds of Papilonseeae (16) ~ The presence... of the above pecularities in certain leyanimns seeds interferes with ths accurate appraisal of viability by smans of ocsmon gendnation tests. To avoid difficulty~ scam other omens have been devised which seem mors reliable than the regular gerJKlnation tests...

Murillo, Napoleon

2012-06-07T23:59:59.000Z

395

Layer equivalency factors and deformation characteristics of flexible pavements  

E-Print Network [OSTI]

for her pa- ti ence 1n typing this thesis. TABLE OF CONTENTS INTRODUCTION Objectives and Engineering Significance Research Plan Organization of The Thesis BACKGROUND Pavement Design Equivalency Factors The Pavement Pressuremeter Test Other Tests... Depth 0(in. ) 2 Base Course 12 Subbase Course tubing Pressuremeter Unloading Modulus EU (Section 7) 522172 psi (3600000 kPa) 24 70348 psi ( 485000 kPa) 36 Subgrade probe Test in progress 11604 psi ( 80000 kPa) 48? 11169 psi...

Hung, Jung-Tsann

2012-06-07T23:59:59.000Z

396

Transfer Factors for Contaminant Uptake by Fruit and Nut Trees  

SciTech Connect (OSTI)

Transfer of radionuclides from soils into plants is one of the key mechanisms for long-term contamination of the human food chain. Nearly all computer models that address soil-to-plant uptake of radionuclides use empirically-derived transfer factors to address this process. Essentially all available soil-to-plant transfer factors are based on measurements in annual crops. Because very few measurements are available for tree fruits, samples were taken of alfalfa and oats and the stems, leaves, and fruits and nuts of almond, apple, apricot, carob, fig, grape, nectarine, pecan, pistachio (natural and grafted), and pomegranate, along with local surface soil. The samples were dried, ground, weighed, and analyzed for trace constituents through a combination of induction-coupled plasma mass spectrometry and instrumental neutron activation analysis for a wide range of naturally-occurring elements. Analysis results are presented and converted to soil-to-plant transfer factors. These are compared to commonly used and internationally recommended values. Those determined for annual crops are very similar to commonly-used values; those determined for tree fruits show interesting differences. Most macro- and micronutrients are slightly reduced in fruits; non-essential elements are reduced further. These findings may be used in existing computer models and may allow development of tree-fruit-specific transfer models.

Napier, Bruce A.; Fellows, Robert J.; Minc, Leah D.

2013-11-20T23:59:59.000Z

397

Pion transverse charge density from timelike form factor data  

SciTech Connect (OSTI)

The transverse charge density in the pion can be represented as a dispersion integral of the imaginary part of the pion form factor in the timelike region. This formulation incorporates information from e+e- annihilation experiments and allows one to reconstruct the transverse density much more accurately than from the spacelike pion form factor data alone. We calculate the transverse density using an empirical parametrization of the timelike pion form factor and estimate that it is determined to an accuracy of ~10% at a distance b ~ 0.1 fm, and significantly better at larger distances. The density is found to be close to that obtained from a zero-width rho meson pole over a wide range and shows a pronounced rise at small distances. The resulting two-dimensional image of the fast-moving pion can be interpreted in terms of its partonic structure in QCD. We argue that the singular behavior of the charge density at the center requires a substantial presence of pointlike configurations in the pion's partonic wave function, which can be probed in other high-momentum transfer processes.

Gerald Miller, Mark Strikman, Christian Weiss

2011-01-01T23:59:59.000Z

398

Success factors of energy efficiency measures in buildings in Norway  

Science Journals Connector (OSTI)

Abstract The aim of the study was to identify factors and parameters, which could contribute to the successful implementation of energy efficiency measures in buildings, and to find which parameters introduce uncertainties in achieving the planned energy savings. A database of 41 buildings was developed for the analysis. The database contained information related to buildings, energy efficiency measures, and energy use over several years. A presentation method for the persistence of the energy efficiency measures was introduced. Through the energy performance contract, energy savings of 30% of the total energy use were suggested on average. The results showed that the success factors of the energy efficiency measures were: previous energy use, project cost, consultant experience and engagement, and implementation of a good operation plan. The persistence of the energy efficiency measures was influenced by the achieved savings in the first year, the guaranty period, and the implementation of the operation measures. Uncertainties in the presented results were induced by the following factors: temperature correction method, difference in reported building area, correctness of the information regarding the implemented measures, and calculation method. The uncertainty due to lack of information or not delivering the operation measures was about 20% of the total energy use.

Natasa Nord; Stine Fjærli Sjøthun

2014-01-01T23:59:59.000Z

399

Factors affecting the usage of intranet: A confirmatory study  

Science Journals Connector (OSTI)

The extent of intranet implementation and use within individual organizations has significant implications for organizational performance. Previous studies on technology adoption in the workplace suggest that acceptance behavior is influenced by a variety of antecedent factors including individual differences, social influences, beliefs, attitudes, and situational influences. This study reports on an investigation of extended TAM (Technology Acceptance Model) using external factors and subjective norm influencing usage of intranet within organizations. The external factors affecting the perceived ease of use, perceived usefulness, and usage of intranet include technical support, Web experience, task equivocality, and task interdependence. The subjective norm is the mediating variable and external variables indirectly affect usage of intranet indirectly through their effects on subjective norm. Based on a survey of 333 intranet users from 10 major Korean companies, this study uses a structural equation model to test the research model. The results indicate that usage of intranet is influenced by technical support, Web experience, task equivocality, and perceived ease of use. Technical support and Web experience influences the perceived ease of use. Technical support, task equivocality, and task interdependence have positive effects on the subjective norm. Usage of intranet which is a dependent variable in this model, is influenced by technical support, Web experience task interdependence, and perceived ease of use.

Sangjae Lee; Byung Gon Kim

2009-01-01T23:59:59.000Z

400

Breast Cancer and Personal Environmental Risk Factors in Marin County --  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Breast Cancer and Personal Environmental Risk Factors in Marin County -- Breast Cancer and Personal Environmental Risk Factors in Marin County -- Pilot Study Title Breast Cancer and Personal Environmental Risk Factors in Marin County -- Pilot Study Publication Type Report Year of Publication 2003 Authors Erdmann, Christine A., Georgianna Farren, Kimberly Baltzell, Terri Chew, Cynthia Clarkson, Ruth Fleshman, Colin Leary, Mary Mizroch, Fern Orenstein, Marion L. Russell, Virginia Souders-Mason, and Margaret Wrensch Abstract The purpose of the Personal Environmental Risk Factor Study (PERFS) pilot project was to develop methodologies and a questionnaire for a future population-based case-control study to investigate the role of selected environmental exposures in breast cancer development. Identification of etiologically relevant exposures during a period of potential vulnerability proximate to disease onset offers the possibility of clinical disease prevention even when disease initiation may have already occurred many years earlier. Certain personal environmental agents or combinations of agents may influence disease promotion. Therefore, this pilot study focused on exposures that occurred during the ten-year period prior to diagnosis for cases and the last ten years for controls, rather than more historic exposures. For this pilot study, we used a community-based research approach. In our collaborative efforts, community members participated with academic researchers in all phases of the research, including research question identification, study design, development of research tools, development of the human subjects protocol, and report writing. Community member inclusion was based upon the concept that community participation could improve the relevance of scientific studies and ultimate success of the research by encouraging an ongoing dialogue between community members and academic representatives. Early activities of this project focused on the collection of input from the community regarding the possible role of environmental factors in the incidence of breast cancer in Marin County. The intent was to inform the scientists of community concerns, enhance the research team's understanding of the community being studied, and provide interested community members with a better understanding of the strengths and weaknesses of traditional research methods through active participation in the research process. This pilot study identified specific testable hypotheses through review of the literature and consultation with relevant experts and the affected community. Initially, the study was to focus on modifiable personal environmental exposures that are associated with breast tumor promotion and higher socioeconomic status (SES). However, little information was available in the scientific literature regarding the putative mechanism by which some of the suspected environmental factors may act (i.e., initiator vs. promoter). Likewise, little is known about the distribution of personal environmental risk factors by socioeconomic status. Therefore, tumor promotion involvement and association with SES were not very useful as selection criteria, and selection of topics was based primarily on published scientific findings of human studies and community input. This study was approved by the Institutional Review Boards at the University of California at San Francisco (Committee on Human Research) and at the University of California at Berkeley (Committee for the Protection of Human Subjects)

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
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401

CCAAT/enhancer binding protein gene promoter: binding of nuclear factors during differentiation of 3T3-L1 preadipocytes.  

Science Journals Connector (OSTI)

...gene promoter: binding of nuclear factors during differentiation...these differentially expressed nuclear factors. The factor present...that play a central role in energy metabolism, particularly in...the differentiation- induced nuclear factor that binds specifically...

R J Christy; K H Kaestner; D E Geiman; M D Lane

1991-01-01T23:59:59.000Z

402

A test of resuspension factor models against Chernobyl data  

SciTech Connect (OSTI)

After the accident at Unit 4 of the Chernobyl nuclear power plant (NPP), stationary air samplers were operated at Chernobyl and Baryshevka, cities which are 16 km and 150 km, respectively, from the NPP. Other air samplers were operated simultaneously, but intermittently, at locations within the 30 km zone at distances of 4-25 km from the NPP. These data were used to check the validity of time dependent models of the resuspension factor K (m{sup -1}). Seven different models were examined, three of which are discussed in the paper. Data from the stationary air samplers were averaged over one day or one month; dam from the intermittent air samplers were averaged over three days in 1986 and over four hours in 1991. The concentrations of eight radionuclides were measured at ten points during the same time period (14-17 September 1986). The calculated resuspension factors range from 6 x 10{sup -9} m{sup -1} to 3 x 10{sup -6} m{sup -1}. Data for the spatial means of K are given for certain time periods in 1986 and 1991; also presented are the calculated values according to the models. The experimental data and the calculated values differ by up to more than one order of magnitude. Also analysed was the temporal change in experimental values of K and these values were compared with model predictions. The annual means of the resuspension factor as determined experimentally and as calculated with the models are presented. The model derived from empirical data measured in Neuherberg after the Chernobyl accident agrees best with the data. The Garland model systematically gives results lower than the experimental values, and the calculated values of K from the Linsley model are consistently conservative. Also considered were the uncertainty of K due to fluctuations in air concentrations and possible biological effects of episodic exposures.

Garger, E.K. [Ukrainian Academy of Agricultural Sciences, Kiev (Ukraine). Inst. of Radioecology; Anspaugh, L.R.; Shinn, J.H. [Lawrence Livermore National Lab., CA (United States); Hoffman, F.O. [Senes Oak Ridge, Inc., TN (United States)

1995-04-01T23:59:59.000Z

403

Factors affecting expanded electricity trade in North America  

SciTech Connect (OSTI)

The authors explore factors that affect electricity trade between enterprises in the US and Canada and the US and Mexico. They look to those underlying policy and institutional factors that affect the relative costs of producing electricity in the three countries. In particular, they consider six factors that appear to have a significant impact on electricity trade in North America: differences in the types of economic regulation of power leading to differences in cost recovery for wholesale and retail power and wheeling charges; changing regulatory attitudes, placing more emphasis on demand-side management and environmental concerns; differences in energy and economic policies; differences in national and subnational environmental policies; changing organization of electric power industries which may foster uncertainty, change historical relationships, and provide other potentially important sources of power for distribution utilities; and differences in the ability of enterprises to gain access to electric power markets because of restrictions placed on transmission access. In Section 2, the authors discuss the regulation of electricity trade in North America and provide an overview of the recent trading experience for electricity between Canada and the US and between Mexico and the US, including the volume of that trade over the past decade and existing transmission capacity between regions of the three countries. In Section 3, they look at the benefits that accrue to trading counties and what those benefits are likely to be for the three countries. The discussion in Section 4 centers on the relevant provisions of the Canada Free Trade Agreement and the proposed North American Free Trade Agreement. In Section 5, they set the stage for the discussion of policy and institutional differences presented in Section 6 by outlining differences in the organization of the electric power sectors of Canada, the US, and Mexico. The study is synthesized in Section 7.

Hill, L.J.

1994-01-01T23:59:59.000Z

404

Major Risk Factors to the Integrated Facility Disposition Project  

Broader source: Energy.gov (indexed) [DOE]

Oak Ridge Reservation Tennessee Major Risk Factors to the Integrated Facility Disposition Project (IFDP) Challenge The scope of the Integrated Facility Disposition Project (IFDP) needs to comprehensively address a wide range of environmental management risks at the Oak Ridge Reservation (ORO). These include: environmental remediation, regulatory compliance, deactivation and decommissioning (D&D) activities, and disposition of legacy materials and waste, along with the ongoing modernization, reindustrialization, and reconfiguration initiatives at the Oak Ridge National Laboratory and at the Y-12 National Security Complex. The balancing of the broad nature of these activities and issues at ORO are a key challenge for the IFDP especially since their interrelationship is not always obvious.

405

Tests of transfer reaction determinations of astrophysical S factors  

E-Print Network [OSTI]

, the S factors for the Tests of transfer reaction determination C. A. Gagliardi, R. E. Tribble, A. Azhari, H. L. Clark, Y.-W Cyclotron Institute, Texas A&M University V. Burjan, J. Cejpek, V. Kroha Institute for Nuclear Physics, Czech Academ ~Received 2...!. @8# L. Trache, A. Azhari, H. L. Clark, C. A. Gagliardi, Y.-W. Lui, A. M. Mukhamedzhanov, R. E. Tribble, and F. Carstoiu, Phys. Rev. C 58, 2715 ~1998!. @9# R. Morlock, R. Kunz, A. Mayer, M. Jaeger, A. Muller, J. W. Hammer, P. Mohr, H. Oberhummer, G...

Gagliardi, Carl A.; Tribble, Robert E.; Azhari, A.; Clark, HL; Lui, YW; Mukhamedzhanov, AM; Sattarov, A.; Trache, L.; Burjan, V.; Cejpek, J.; Kroha, V.; Piskor, S.; Vincour, J.

1999-01-01T23:59:59.000Z

406

The Dose Rate Conversion Factors for Nuclear Fallout  

SciTech Connect (OSTI)

In a previous paper, the composite exposure rate conversion factor (ECF) for nuclear fallout was calculated using a simple theoretical photon-transport model. The theoretical model was used to fill in the gaps in the FGR-12 table generated by ORNL. The FGR-12 table contains the individual conversion factors for approximate 1000 radionuclides. However, in order to calculate the exposure rate during the first 30 minutes following a nuclear detonation, the conversion factors for approximately 2000 radionuclides are needed. From a human-effects standpoint, it is also necessary to have the dose rate conversion factors (DCFs) for all 2000 radionuclides. The DCFs are used to predict the whole-body dose rates that would occur if a human were standing in a radiation field of known exposure rate. As calculated by ORNL, the whole-body dose rate (rem/hr) is approximately 70% of the exposure rate (R/hr) at one meter above the surface. Hence, the individual DCFs could be estimated by multiplying the individual ECFs by 0.7. Although this is a handy rule-of-thumb, a more consistent (and perhaps, more accurate) method of estimating the individual DCFs for the missing radionuclides in the FGR-12 table is to use the linear relationship between DCF and total gamma energy released per decay. This relationship is shown in Figure 1. The DCFs for individual organs in the body can also be estimated from the estimated whole-body DCF. Using the DCFs given FGR-12, the ratio of the organ-specific DCFs to the whole-body DCF were plotted as a function of the whole-body DCF. From these plots, the asymptotic ratios were obtained (see Table 1). Using these asymptotic ratios, the organ-specific DCFs can be estimated using the estimated whole-body DCF for each of the missing radionuclides in the FGR-12 table. Although this procedure for estimating the organ-specific DCFs may over-estimate the value for some low gamma-energy emitters, having a finite value for the organ-specific DCFs in the table is probably better than having no value at all. A summary of the complete ECF and DCF values are given in Table 2.

Spriggs, G D

2009-02-13T23:59:59.000Z

407

Role of Hepatocyte Nuclear Factor 4 alpha in Hepatocyte Proliferation  

E-Print Network [OSTI]

-binding domain and the ligand-binding domain for proper binding of HNF4? to its response elements. A lack of the ligand-binding domain can reduce the affinity of HNF4? for its response elements by 75-fold (Chandra, Huang et al. 2013). HNF4?’s ligand..., 2013, with permission from American Physiological Society. Hepatology, 57(3): 2480-2490, Hepatocyte Nuclear Factor 4 alpha Deletion Promotes Diethylnitrosamine-induced Hepatocellular Carcinoma in Rodents, 2013, with permission from John Wiley & Sons...

Walesky, Chad Michael

2014-05-31T23:59:59.000Z

408

Nucleon electromagnetic form factors in twisted mass lattice QCD  

SciTech Connect (OSTI)

We present results on the nucleon electromagnetic form factors within lattice QCD using two flavors of degenerate twisted mass fermions. Volume effects are examined using simulations at two volumes of spatial length L=2.1 fm and L=2.8 fm. Cutoff effects are investigated using three different values of the lattice spacings, namely a=0.089 fm, a=0.070 fm and a=0.056 fm. The nucleon magnetic moment, Dirac and Pauli radii are obtained in the continuum limit and chirally extrapolated to the physical pion mass allowing for a comparison with experiment.

Alexandrou, C. [Department of Physics, University of Cyprus, P.O. Box 20537, 1678 Nicosia (Cyprus); Computation-based Science and Technology Research Center, Cyprus Institute, 20 Kavafi Str., Nicosia 2121 (Cyprus); Brinet, M.; Carbonell, J.; Harraud, P. A.; Papinutto, M. [Laboratoire de Physique Subatomique et Cosmologie, UJF/CNRS/IN2P3, 53 avenue des Martyrs, 38026 Grenoble (France); Guichon, P. [CEA-Saclay, IRFU/Service de Physique Nucleaire, 91191 Gif-sur-Yvette (France); Jansen, K. [NIC, DESY, Platanenallee 6, D-15738 Zeuthen (Germany); Korzec, T. [Department of Physics, University of Cyprus, P.O. Box 20537, 1678 Nicosia (Cyprus); Institut fuer Physik Humboldt Universitaet zu Berlin, Newtonstrasse 15, 12489 Berlin (Germany); Constantinou, M.

2011-05-01T23:59:59.000Z

409

Factor Influencing Logistics Service Providers Efficiency’ in Urban Distribution Systems  

Science Journals Connector (OSTI)

Abstract The increased urbanization and the awareness of freight transportation impacts have stressed the importance of City Logistics (CL) as a comprehensive approach aimed at mitigating the negative effects of distribution activities without penalizing social, cultural, and economic issues. In this context, a crucial role is played by logistics service providers (LSPs). This paper proposes an empirical analysis on the operational factors determining the level of efficiency of a LSP. This study represents an attempt to develop a panel of operational variables supporting the efficiency of the urban distribution system of LSPs. The potential benefits are both economic and environmental.

Alberto De Marco; Anna C. Cagliano; Giulio Mangano; Francesca Perfetti

2014-01-01T23:59:59.000Z

410

Factorial Experiments Back to two-factor experiment  

E-Print Network [OSTI]

*C*D -0,250 -0,125 B*C*D -0,750 -0,375 A*B*C*D -0,250 -0,125 S = * 113 Analysis of Variance for Y (coded versus A; B; C; D Estimated Effects and Coefficients for Y (coded units) Term Effect Coef Constant 72 AC ABC BCD AB BC C BD D A B 2520151050 2,89 Factor D Name A A B B C C D Pareto Chart of the Effects

Langseth, Helge

411

Factor XI Antisense Oligonucleotide for Prevention of Venous Thrombosis  

Science Journals Connector (OSTI)

...interval for the between-group difference in risk was 14% or less. If noninferiority was shown, superiority testing would be performed with the use of the chi-square test or Fisher's exact test, as appropriate. We calculated that with 70 patients in each group, the study would have 80% power to show noninferiority... Patients undergoing total knee arthroplasty are at risk for postoperative venous thromboembolism. Conventional therapies for the prevention of this complication involve inhibitors of factor Xa or thrombin, such as enoxaparin. These drugs are effective but ...

2014-12-07T23:59:59.000Z

412

Electromagnetic nucleon form factors in instant and point form  

E-Print Network [OSTI]

We present a study of the electromagnetic structure of the nucleons with constituent quark models in the framework of relativistic quantum mechanics. In particular, we address the construction of spectator-model currents in the instant and point forms. Corresponding results for the elastic nucleon electromagnetic form factors as well as charge radii and magnetic moments are presented. We also compare results obtained by different realistic nucleon wave functions stemming from alternative constituent quark models. Finally, we discuss the theoretical uncertainties that reside in the construction of spectator-model transition operators.

T. Melde; K. Berger; L. Canton; W. Plessas; R. F. Wagenbrunn

2007-09-30T23:59:59.000Z

413

Nucleon electromagnetic form factors from twisted mass lattice QCD  

E-Print Network [OSTI]

Results on the electromagnetic form factors of the nucleon using twisted mass fermion configurations are presented. These include a gauge field ensemble simulated with two degenerate light quarks yielding a pion mass of around 130 MeV, as well as two ensembles that include strange and charm quarks in the sea yielding pion masses of 210 MeV and 373 MeV. Details of the methods used and systematic errors are discussed, such as noise reduction techniques and the effect of excited states contamination.

Abdou Abdel-Rehim; Constantia Alexandrou; Martha Constantinou; Kyriakos Hadjiyiannakou; Karl Jansen; Giannis Koutsou

2015-01-07T23:59:59.000Z

414

ANALYSIS ON THE MAJOR INFLUENCE FACTORS OF ENERGY INTENSITY CHANGING  

E-Print Network [OSTI]

Based on the energy intensity data of period 1990-2008, this paper uses impulse response function and variance decomposition model to empirical analysis the main influencing factors and effects of energy intensity,. The empirical results show that: the energy intensity of itself, and the proportion of secondary industry have a larger impact on energy intensity; the change of energy price and technological progress also play a certain impact on energy intensity; and the link with the internal relations and interaction mechanisms, which can play an active role in improving energy efficiency.

Xia Wang; Lu Tang

415

Potentially Inappropriate Drug Prescribing and Associated Factors in Nursing Homes  

Science Journals Connector (OSTI)

AbstractImportance Polymedication is frequent in nursing home (NH) residents. This increases the risk of potentially inappropriate drug prescribing (PIDP), which can lead to adverse drug events, such as falls and hospitalization. Objective To identify PIDP in NH residents and to investigate subject-related and NH structural and organizational factors associated with PIDP. Design Cross-sectional study. Setting A total of 175 \\{NHs\\} in Midi-Pyrénées region, South-Western France. Participants A total of 974 subjects randomly selected from the 6275 NH residents participating in the IQUARE study. Exposure Patients with PIDP. Main Outcomes and Measures PIDP was the main outcome measure. It was defined using a specific indicator, based on the Summary of Product Characteristics, on the Laroche list, and on residents' clinical data. PIDP was defined as the presence of at least 1 of the following criteria: (1) drug with an unfavorable benefit-to-risk ratio; (2) drug with questionable efficacy according to the Laroche list; (3) absolute contraindication; (4) significant drug-drug interaction. Associated factors were identified by using multivariable logistic regression models. Results Among the 974 residents included, 71% had PIDP. PIDP was more frequent in patients without dementia, with several comorbidities and taking multiple medications. In the multivariable analysis, age (odds ratio [OR] 1.02; 95% confidence interval [CI] 1.01–1.03) and Charlson Comorbidity Index (CCI; P = .003, CCI = 1 versus 0: OR1/0 1.22; 95% CI 0.85–1.74, CCI ? 2 versus 0: OR2/0 1.72; 95% CI 1.23–2.41) were associated with an increased likelihood of PIDP. By contrast, dementia was associated with a lower likelihood of PIDP (OR 0.70; 95% CI 0.53–0.94). Among NH structural and organizational characteristics, the access to psychiatric advice and/or to hospitalization in a psychiatric unit (OR 1.36; 95% CI 1.02–1.82) and the presence of a reevaluation of drug prescriptions (OR 1.45; 95% CI 1.07–1.96) were associated with an increased likelihood of PIDP. Conclusions and Relevance Our work suggests that some NH characteristics are associated with an increased likelihood of PIDP. Gaining a better understanding of the factors influencing PIDP, especially structural and organizational NH factors, can help to determine the interventions that should be implemented.

Charlène Cool; Philippe Cestac; Charlotte Laborde; Cécile Lebaudy; Laure Rouch; Benoit Lepage; Bruno Vellas; Philipe de Souto Barreto; Yves Rolland; Maryse Lapeyre-Mestre

2014-01-01T23:59:59.000Z

416

Harmonic mean, the Gamma factor and Speed of Light  

E-Print Network [OSTI]

The relationship between the harmonic mean and special relativity is concisely elucidated. The arguments in favor and against SRT are explored. It is shown that the ratio of the speed of light to the harmonic mean of the onward and return speeds of light in a moving frame under Newtonian mechanics, when equitably distributed between space and time as a correction, leads to the Lorentz transformation. This correction implies an apparent contraction of objects and time dilation. However, the symmetry of the onward and inverse transformations give a different meaning to the gamma factor

Chandru Iyer

2008-11-05T23:59:59.000Z

417

Human factors issues in qualitative and quantitative safety analyses  

SciTech Connect (OSTI)

Humans are a critical and integral part of any operational system, be it a nuclear reactor, a facility for assembly or disassembling hazardous components, or a transportation network. In our concern over the safety of these systems, we often focus our attention on the hardware engineering components of such systems. However, experience has repeatedly demonstrated that it is often the human component that is the primary determinant of overall system safety. Both the nuclear reactor accidents at Chernobyl and Three Mile Island and shipping disasters such as the Exxon Valdez and the Herald of Free Enterprise accidents are attributable to human error. Concern over human contributions to system safety prompts us to include reviews of human factors issues in our safety analyses. In the conduct of Probabilistic Risk Assessments (PRAs), human factors issues are addressed using a quantitative method called Human Reliability Analysis (HRA). HRAs typically begin with the identification of potential sources of human error in accident sequences of interest. Human error analysis often employs plant and/or procedures walk-downs in which the analyst considers the ``goodness`` of procedures, training, and human-machine interfaces concerning their potential contribution to human error. Interviews with expert task performers may also be conducted. In the application of HRA, once candidate sources of human error have been identified, error probabilities are developed.

Hahn, H.A.

1993-10-01T23:59:59.000Z

418

Efficient MATLAB computations with sparse and factored tensors.  

SciTech Connect (OSTI)

In this paper, the term tensor refers simply to a multidimensional or N-way array, and we consider how specially structured tensors allow for efficient storage and computation. First, we study sparse tensors, which have the property that the vast majority of the elements are zero. We propose storing sparse tensors using coordinate format and describe the computational efficiency of this scheme for various mathematical operations, including those typical to tensor decomposition algorithms. Second, we study factored tensors, which have the property that they can be assembled from more basic components. We consider two specific types: a Tucker tensor can be expressed as the product of a core tensor (which itself may be dense, sparse, or factored) and a matrix along each mode, and a Kruskal tensor can be expressed as the sum of rank-1 tensors. We are interested in the case where the storage of the components is less than the storage of the full tensor, and we demonstrate that many elementary operations can be computed using only the components. All of the efficiencies described in this paper are implemented in the Tensor Toolbox for MATLAB.

Bader, Brett William; Kolda, Tamara Gibson (Sandia National Lab, Livermore, CA)

2006-12-01T23:59:59.000Z

419

Ultraviolet Divergences and Factorization for Coordinate-Space Amplitudes  

E-Print Network [OSTI]

We consider the coordinate-space matrix elements that correspond to fixed-angle scattering amplitudes involving partons and Wilson lines in coordinate space, working in Feynman gauge. In coordinate space, both collinear and short-distance limits produce ultraviolet divergences. We classify singularities in coordinate space, and identify neighborhoods associated unambiguously with individual subspaces (pinch surfaces) where the integrals are singular. The set of such regions is finite for any diagram. Within each of these regions, coordinate-space soft-collinear and hard-collinear approximations reproduce singular behavior. Based on this classification of regions and approximations, we develop a series of nested subtraction approximations by analogy to the formalism in momentum space. This enables us to rewrite each amplitude as a sum of terms to which gauge theory Ward identities can be applied, factorizing them into hard, jet and soft factors, and to confirm the multiplicative renormalizability of products of lightlike Wilson lines. We study in some detail the simplest case, the color-singlet cusp linking two Wilson lines, and show that the logarithm of this amplitude, which is a sum of diagrams known as webs, is closely related to the corresponding subtracted amplitude order by order in perturbation theory. This enables us to confirm that the logarithm of the cusp can be written as the integral of an ultraviolet-finite function over a surface. We study to what extent this result generalizes to amplitudes involving multiple Wilson lines.

Ozan Erdo?an; George Sterman

2014-11-17T23:59:59.000Z

420

Beyond the Fundamentals of Special Relativity: Full Lorentz gamma factor  

E-Print Network [OSTI]

Special relativity calculates, by means of the Lorentz gamma factor, the proper time of all inertial systems from the observer proper time, which is taken as a time standard. So, any temporal inference relies in first instance on the observer own time. The question is thus: what fixes the observer proper time? This will be the crucial point debated here. This implies analyzing at the very first why the observer can be taken as a motionless reference in spite of being himself inertial. Is this just an approximation, and if so, up to what extent can it be applied? The framework of special relativity is compared to an amended form in which the fact of taking himself as a reference does not allow the observer to overlook its own kinetics. So, the issue stands on which of two formulations of the Lorentz gamma factor is the most accurate one: its standard expression or an amended one which takes into account the fact that the observer is himself inertial, while the former disregards it. When the observer speed is ignored, the two formulations become identical. Hence, the standard relativistic expression of gamma can be seen as an approximation applicable when the observer motion is null or low, such as it is the instance on Earth.

G. Sardin

2010-01-18T23:59:59.000Z

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

A review on environmental factors regulating arsenic methylation in humans  

SciTech Connect (OSTI)

Subjects exposed to arsenic show significant inter-individual variation in urinary patterns of arsenic metabolites but insignificant day-to-day intra-individual variation. The inter-individual variation in arsenic methylation can be partly responsible for the variation in susceptibility to arsenic toxicity. Wide inter-ethnic variation and family correlation in urinary arsenic profile suggest a genetic effect on arsenic metabolism. In this paper the environmental factors affecting arsenic metabolism are reviewed. Methylation capacity might reduce with increasing dosage of arsenic exposure. Furthermore, women, especially at pregnancy, have better methylation capacity than their men counterparts, probably due to the effect of estrogen. Children might have better methylation capacity than adults and age shows inconsistent relevance in adults. Smoking and alcohol consumption might be associated with a poorer methylation capacity. Nutritional status is important in the methylation capacity and folate may facilitate the methylation and excretion of arsenic. Besides, general health conditions and medications might influence the arsenic methylation capacity; and technical problems can cause biased estimates. The consumption of seafood, seaweed, rice and other food with high arsenic contents and the extent of cooking and arsenic-containing water used in food preparation may also interfere with the presentation of the urinary arsenic profile. Future studies are necessary to clarify the effects of the various arsenic metabolites including the trivalent methylated forms on the development of arsenic-induced human diseases with the consideration of the effects of confounding factors and the interactions with other effect modifiers.

Tseng, C.-H. [National Taiwan University College of Medicine, Taipei, Taiwan (China); Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan (China); Department of Medical Research and Development, National Taiwan University Hospital Yun-Lin Branch, Yun-Lin, Taiwan (China); School of Public Health, Taipei Medical University, Taipei, Taiwan (China); Division of Environmental Health and Occupational Medicine of the National Health Research Institutes, Taipei, Taiwan (China)], E-mail: ccktsh@ms6.hinet.net

2009-03-15T23:59:59.000Z

422

Limiting factors and microbial organometallic transformations in anaerobic subsurface environments  

SciTech Connect (OSTI)

Microbial communities from subsurface materials were analyzed for microbial community-particle size relationships, effects of arsenic and mercury compounds on microbial community structure, and limiting factors influencing mercury volatilization under aerobic and anaerobic conditions. The microbial communities showed strong relationships to particle size and size distribution. Major differences were found in relation to aerobic and anaerobic populations and for aerobic populations between the largest and smallest fractions. Under aerobic conditions, a significant increase in low nutrient responsive microbes occurred. After exposure to four metal compounds (phenylmercuric acetate (PMA), mercuric chloride (HgCl{sub 2}), phenylarsonic acid (PAA), and sodium arsenate (Na{sub 2}AsO{sub 4})) major changes in populations occurred. Previous exposure to these metals increased the aerobic and anaerobic populations of GS-9, indicating an adaptive response. In GS-20, previous exposure to all four compounds caused a decrease in both the aerobic and anaerobic populations. The effect was most pronounced in sediments treated with PMA or HgCl{sub 2}. Limiting nutritional factors for the volatilization of mercury under aerobic and anaerobic conditions were identified in control and PMA impacted samples from GS-9 and GS-20.

Klein, D.A.

1989-12-01T23:59:59.000Z

423

Architecture of a Quantum Multicomputer Optimized for Shor's Factoring Algorithm  

E-Print Network [OSTI]

The quantum multicomputer consists of a large number of small nodes and a qubus interconnect for creating entangled state between the nodes. The primary metric chosen is the performance of such a system on Shor's algorithm for factoring large numbers: specifically, the quantum modular exponentiation step that is the computational bottleneck. This dissertation introduces a number of optimizations for the modular exponentiation. My algorithms reduce the latency, or circuit depth, to complete the modular exponentiation of an n-bit number from O(n^3) to O(n log^2 n) or O(n^2 log n), depending on architecture. Calculations show that these algorithms are one million times and thirteen thousand times faster, when factoring a 6,000-bit number, depending on architecture. Extending to the quantum multicomputer, five different qubus interconnect topologies are considered, and two forms of carry-ripple adder are found to be the fastest for a wide range of performance parameters. The links in the quantum multicomputer are serial; parallel links would provide only very modest improvements in system reliability and performance. Two levels of the Steane [[23,1,7

Rodney Doyle Van Meter III

2006-07-11T23:59:59.000Z

424

The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings  

Science Journals Connector (OSTI)

Abstract This paper aims to investigate the socio-economic, dwelling and appliance related factors that have significant or non-significant effects on domestic electricity consumption. To achieve this aim, a comprehensive literature review of international research investigating these factors was undertaken. Although papers examining the factors affecting electricity demand are numerous, to the authors’ knowledge, a comprehensive analysis taking stock of all previous findings has not previously been undertaken. The review establishes that no less than 62 factors potentially have an effect on domestic electricity use. This includes 13 socio-economic factors, 12 dwelling factors and 37 appliance factors. Of the 62 factors, four of the socio-economic factors, seven of the dwelling factors, and nine of the appliance related factors were found to unambiguously have a significant positive effect on electricity use. This paper contributes to a better understanding of those factors that certainly affect electricity consumption and those for which effects are unclear and require further research. Understanding the effects of factors can support both the implementation of effective energy policy and aid prediction of future electricity consumption in the domestic sector.

Rory V. Jones; Alba Fuertes; Kevin J. Lomas

2015-01-01T23:59:59.000Z

425

Energy Price Indices and Discount Factors for Life-Cycle Cost...  

Office of Environmental Management (EM)

2 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2012 Report provides tables of present-value factors for use in the life-cycle cost analysis of capital...

426

Prevalence of urinary tract infections and associated factors among pregnant workers in the electronics industry  

Science Journals Connector (OSTI)

Pregnancy is a risk factor for urinary tract infection (UTI), and it has been shown that frequent urine voiding was a protecting factor against UTI for nonpregnant female cleanroom workers. We conducted a study t...

Shih-Bin Su; Jiang-Nan Wang; Chih-Wei Lu…

2009-08-01T23:59:59.000Z

427

Nuclear physics in soft-wall AdS/QCD: deuteron electromagnetic form factors  

E-Print Network [OSTI]

We present a calculation of the deuteron electromagnetic form factors in a soft-wall AdS/QCD approach. The power scaling of the deuteron form factors is consistent with quark counting rules.

Gutsche, Thomas; Schmidt, Ivan; Vega, Alfredo

2015-01-01T23:59:59.000Z

428

Nuclear Factor of Activated T-cell Activity Is Associated with Metastatic Capacity in Colon Cancer  

Science Journals Connector (OSTI)

...gene expression datasets and applied expression...module predicted nuclear factor of activated...human microarray datasets, representing data...further predicted the nuclear factor of activated...signaling driving nuclear transport where...gene expression datasets were downloaded...

Manish K. Tripathi; Natasha G. Deane; Jing Zhu; Hanbing An; Shinji Mima; Xiaojing Wang; Sekhar Padmanabhan; Zhiao Shi; Naresh Prodduturi; Kristen K. Ciombor; Xi Chen; M. Kay Washington; Bing Zhang; and R. Daniel Beauchamp

2014-12-01T23:59:59.000Z

429

Knowledge-Based B-Factor Restraints for the Refinement of Proteins  

Science Journals Connector (OSTI)

The current practice of restraining all B factors equal to their bonded neighbors is reviewed. A restraint is proposed that uses the patterns of B factors of low-resolution refinements.

Tronrud, D.E.

1996-04-01T23:59:59.000Z

430

Hypoxia-inducible factor 1 protects hypoxic astrocytes against glutamate toxicity  

E-Print Network [OSTI]

Stroke is a major neurological disorder characterized by an increase in the Glu (glutamate) concentration resulting in excitotoxicity and eventually cellular damage and death in the brain. HIF-1 (hypoxia-inducible factor-1), a transcription factor...

Badawi, Yomna; Ramamoorthy, Prabhu; Shi, Honglian

2012-04-27T23:59:59.000Z

431

Resistance factors calibration and its application using static load test data for driven steel pipe piles  

Science Journals Connector (OSTI)

This paper presents the reliability-based resistance factor calibration of driven steel pipe piles and the implementation of Load and Resistance Factor Design (LRFD) on ... framework based on reliability theory u...

Jae Hyun Park; Jungwon Huh; Kyung Jun Kim…

2013-07-01T23:59:59.000Z

432

Evaluation of Loss Factor Estimation Techniques for Free Hanging Flat Panels Excited Mechanically  

E-Print Network [OSTI]

To establish the "best" technique to estimate a damping loss factor for mechanically-excited panels, three loss factor estimation techniques--PIM, IRDM, and RDT--are compared. In experimental and computational analyses, ...

Dande, Himanshu Amol

2013-05-31T23:59:59.000Z

433

Factor structure analysis of the Comprehensive Effects of Alcohol - Spanish questionnaire among adolescents in Mexico  

E-Print Network [OSTI]

on the psychometric properties of the Comprehensive Effects of Alcohol (CEOA) questionnaire with Spanish speaking populations. Using confirmatory factor analysis (CFA), the factor structure of the Spanish version of the CEOA was assessed in a set of scores obtained...

Flato, Claudia Graciela

2007-09-17T23:59:59.000Z

434

E-Print Network 3.0 - albumin-free recombinant factor Sample...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

free recombinant factor Search Powered by Explorit Topic List Advanced Search Sample search results for: albumin-free recombinant factor Page: << < 1 2 3 4 5 > >> 1 June 2004 |...

435

The EM algorithm for the extended finite mixture of the factor analyzers model  

Science Journals Connector (OSTI)

This paper is devoted to extending common factors and categorical variables in the model of a finite mixture of factor analyzers based on the multivariate generalized linear model and the principle of maximum random utility in the probabilistic choice ...

Xingcai Zhou; Xinsheng Liu

2008-04-01T23:59:59.000Z

436

Investigating the Roles of Tat Specific Factor 1 in Both HIV-1 and Cellular Gene Expression.  

E-Print Network [OSTI]

?? HIV-1 relies on both viral and cellular host factors for expression of its genome. Tat specific factor 1 (Tat-SF1) was identified as a cellular… (more)

Miller, Heather Bennett

2009-01-01T23:59:59.000Z

437

E-Print Network 3.0 - activating factor acetylhydrolase Sample...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Tat 317 APAF1 apoptotic peptidase activating factor 1 1... dissociation inhibitor (GDI) alpha 2 Tat; Vpr 466 ATF1 activating transcription factor 1 1 Vpr 467 ATF3......

438

A Model for Water Factor Measurements With Fission-Neutron Logging...  

Broader source: Energy.gov (indexed) [DOE]

A Model for Water Factor Measurements With Fission-Neutron Logging Tools (May 1983) A Model for Water Factor Measurements With Fission-Neutron Logging Tools (May 1983) A Model for...

439

The neutron electric form factor to Q² = 1.45 (GeV/c)²  

E-Print Network [OSTI]

The nucleon elastic electromagnetic form factors are fundamental quantities needed for an understanding of nucleon and nuclear electromagnetic structure. The evolution of the Sachs electric and magnetic form factors with ...

Plaster, Bradley R. (Bradley Robert), 1976-

2004-01-01T23:59:59.000Z

440

E-Print Network 3.0 - accelerating factor cd55 Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

factor, Arrhenius relationship, Eyring relationship, inverse power... (x) is SAFT if T(x) T(xU )AF(x), where the acceleration factor AF(x) is a positive function of x...

Note: This page contains sample records for the topic "breeze otherf factors" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Revision of the APGEMS Dose Conversion Factor File Using Revised Factors from Federal Guidance Report 12 and 13.  

SciTech Connect (OSTI)

The Air Pollutant Graphical Environmental Monitoring System (APGEMS) is used by the Hanford Emergency Operation Center (EOC) to provide refined plume modeling of releases involving radionuclides. The dose conversion factors (DCFs) used by APGEMS to convert air concentration to dose are stored in a file called HUDUFACT.dat; the DCFs are based primarily on ICRP 30 compiled in the late 1980’s. This report updates the DCFs using more recent values reported in the Environmental Protection Agencies (EPAs) Federal Guidance Report (FGR) 12 and 13. FGR 12 provides external exposure (air submersion) DCFs for radionuclides in air; FGR 13 provides DCFs for radionuclides from inhalation. DCFs were updated for only those radionuclides listed in the original HUDUFACT.dat file. Since FGR 13 provides inhalation dose conversion factors as a function of age, revised DCF files were created for APGEMS for each age group. The “adult” DCF file is the most relevant to compare to the original DCF file being used in APGEMS; these DCF values are compared in this report.

Hay, Tristan R.; Rishel, Jeremy P.

2013-09-30T23:59:59.000Z

442

Dynamic shape factors for hydox-generated plutonium dioxide-type non-sperical objects  

E-Print Network [OSTI]

. . . . . . . . . 1X NOMENCLATURE INTRODUCTION. BACKGROUND. THEORY. METHOD. . 14 Dynamic Shape Factors of a Hedron Characterized as a Single Variable, x. . Dynamic Shape Factors of a Hedron Characterized as Two Variables, x and y. Dynamic Shape Factors of a..., and this thesis to evaluates effects of the density and dynamic shape factors on the settling velocities of plutonium dioxide. THEORY Assume a particle in motion in a viscous fluid with velocity v. The fluid exerts a drag force on the particle defined as Fn...

Lohaus, James Harold

2012-06-07T23:59:59.000Z

443

E-Print Network 3.0 - atherosclerotic risk factors Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

risk factors... of atherosclerotic ... Source: Jadvar, Hossein - Departments of Biomedical Engineering & Radiology, University of Southern California Collection: Biology and...

444

Different Factors Impact Different Aspects of Gasoline Price  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: In order to illustrate and quantify, to a large extent, the various market forces driving gasoline prices, we begin by decomposing those factors according to their location within the supply chain, i.e., the international crude market, U.S. wholesale gasoline markets, and the retail segment. Historically, variation in gasoline prices usually stems from changes in crude oil prices. As the major feedstock in the production of gasoline, shifts in the balance between supply and demand in crude markets explain a large portion of observed movements at the retail level. But shifts in the wholesale gasoline supply/demand balance also contribute to price pressure or movements at both the wholesale and retail levels beyond that stemming from crude oil markets.

445

Factors Controlling the Solubility of Mercury Adsorbed on Fly Ash  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

N:\R&D_Projects_Partial\FlyAsh&CCBs\Meetings\2005_04_WorldOfCoalAsh\AnnKim\HgSol N:\R&D_Projects_Partial\FlyAsh&CCBs\Meetings\2005_04_WorldOfCoalAsh\AnnKim\HgSol ubility_Paper.doc Factors Controlling the Solubility of Mercury Adsorbed on Fly Ash Ann G. Kim 1 and Karl Schroeder 2 1 ORISE Research Fellow, National Energy Technology Laboratory, U.S. Department of Energy, 626 Cochrans Mill Rd., Pittsburgh, PA 15236-0940 2 Research Group Leader, National Energy Technology Laboratory, U.S. Department of Energy, 626 Cochrans Mill Rd., Pittsburgh, PA 15236-0940 KEYWORDS Coal Utilization By-Products, leaching, activated carbon, pH ABSTRACT It is expected that increased controls on Hg emissions will shift the environmental burden from the flue gas to the solid coal utilization by-products (CUB), such as fly ash and flue-gas

446

LEDSGP/DIA-Toolkit/Factors | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » LEDSGP/DIA-Toolkit/Factors < LEDSGP‎ | DIA-Toolkit Jump to: navigation, search LEDSGP Logo.png Development Impacts Assessment Toolkit Home Tools Request Assistance Development Impacts Assessment Dia goals actions.png Governments set national goals and priorities-social, economic, and environmental-that establish the context for government policies and programs. At the same time, many countries have defined low emission development strategies (LEDS) as a guiding framework for development. The purpose of development impacts assessment (DIA) is to identify and assess the impacts, including both positive impacts (e.g., improved air or

447

Accelerated Gibbs Sampling for Infinite Sparse Factor Analysis  

SciTech Connect (OSTI)

The Indian Buffet Process (IBP) gives a probabilistic model of sparse binary matrices with an unbounded number of columns. This construct can be used, for example, to model a fixed numer of observed data points (rows) associated with an unknown number of latent features (columns). Markov Chain Monte Carlo (MCMC) methods are often used for IBP inference, and in this technical note, we provide a detailed review of the derivations of collapsed and accelerated Gibbs samplers for the linear-Gaussian infinite latent feature model. We also discuss and explain update equations for hyperparameter resampling in a 'full Bayesian' treatment and present a novel slice sampler capable of extending the accelerated Gibbs sampler to the case of infinite sparse factor analysis by allowing the use of real-valued latent features.

Andrzejewski, D M

2011-09-12T23:59:59.000Z

448

Making tensor factorizations robust to non-gaussian noise.  

SciTech Connect (OSTI)

Tensors are multi-way arrays, and the CANDECOMP/PARAFAC (CP) tensor factorization has found application in many different domains. The CP model is typically fit using a least squares objective function, which is a maximum likelihood estimate under the assumption of independent and identically distributed (i.i.d.) Gaussian noise. We demonstrate that this loss function can be highly sensitive to non-Gaussian noise. Therefore, we propose a loss function based on the 1-norm because it can accommodate both Gaussian and grossly non-Gaussian perturbations. We also present an alternating majorization-minimization (MM) algorithm for fitting a CP model using our proposed loss function (CPAL1) and compare its performance to the workhorse algorithm for fitting CP models, CP alternating least squares (CPALS).

Chi, Eric C. (Rice University, Houston, TX); Kolda, Tamara Gibson

2011-03-01T23:59:59.000Z

449

Asymptotic normalization coefficients, spectroscopic factors, and direct radiative capture rates  

E-Print Network [OSTI]

. The summation over lB and jB is carried out over the values allowed by angular momentum and parity conser- vation in the virtual process B?A1p . The overlap function is the projection of the state wB onto the two-body channel wAwp . This projection..., the spectroscopic factor. The asymptotic behavior of the radial overlap function is given by IAplB jB B ~r ! ? r.RN CAplB jB B W 2hB ,lB11/2~2kBr ! r . ~3! Asymptotic normalization coefficients, spectroscopi A. M. Mukhamedzhanov, C. Cyclotron Institute...

Mukhamedzhanov, AM; Gagliardi, Carl A.; Tribble, Robert E.

2001-01-01T23:59:59.000Z

450

Higgs Boson Yukawa Form Factors from Supersymmetric Radiative Fermion Masses  

E-Print Network [OSTI]

The recent discovery of the Higgs-like resonance at $125\\,\\rm{GeV}$ has opened up new avenues in the search for beyond standard model physics. Hints of such extensions could manifest themselves as modifications in the Higgs-fermion couplings and other Higgs related observables. In this work, we study aspects of a class of models where the light fermion masses are radiatively generated. Specifically, we consider models where the light fermion masses, partially or completely, arise from chiral violation in the soft supersymmetry-breaking sector. In these models, the radiatively generated Higgs-fermion Yukawa form factors have non-trivial characteristics and will modify Higgs-fermion couplings from their standard model expectations. A radiatively generated fermion mass could also potentially contribute to large anomalous magnetic moments; this is particularly interesting in the case of the muon where a persistent discrepancy, at the level of around $3\\,\\sigma$, has existed between experiment and theory. Deviatio...

Thalapillil, Arun

2014-01-01T23:59:59.000Z

451

Geologic factors in coal mines roof stability: a progress report  

SciTech Connect (OSTI)

This report summarizes 10 selected United States Bureau of Mines research contract reports produced from 1970 to 1980 that consist largely of geologic studies of coal-mine roof-support problems. The reports focus on the Appalachian and Illinois coal-mining regions. In the Appalachian region two geologic structures, roof rolls and slickensides, predominate as features that directly contribute to roof falls. Studies of these and other structures are reviewed, and improved methods of utilizing drill core and core logs to prepare hazard maps are presented. Among the reports described are several on the weakening effects of moisture on shale roof, as determined from both laboratory and underground measurements, and an assessment of air tempering as a humidity-control method. Also summarized are findings concerning the time lapse between roof exposure and permanent support installation as a factor in the effectiveness of roof bolting.

Moebs, N.N.; Stateham, R.M.

1984-01-01T23:59:59.000Z

452

Factor Xa Kits TB205 8/98 Novagen 1  

E-Print Network [OSTI]

mM Tris-HCl pH 8.0, 100 mM NaCl, 5 mM CaCl2. A Cleavage Control Protein is included for conducting Xa, Restriction Grade (in 20 mM Tris-HCl pH 8.0, 500 mM NaCl, 2 mM CaCl2, 50% glycerol) · 10 µg Xa Dilution/Storage Buffer (20 mM Tris-HCl pH 8.0, 500 mM NaCl, 2 mM CaCl2, 50% glycerol) · 5 ml 10X Factor Xa

Lebendiker, Mario

453

The electric and magnetic form factors of the proton  

E-Print Network [OSTI]

The paper describes a precise measurement of electron scattering off the proton at momentum transfers of $0.003 \\lesssim Q^2 \\lesssim 1$\\ GeV$^2$. The average point-to-point error of the cross sections in this experiment is $\\sim$ 0.37%. These data are used for a coherent new analysis together with all world data of unpolarized and polarized electron scattering from the very smallest to the highest momentum transfers so far measured. The extracted electric and magnetic form factors provide new insight into their exact shape, deviating from the classical dipole form, and of structure on top of this gross shape. The data reaching very low $Q^2$ values are used for a new determination of the electric and magnetic radii. An empirical determination of the Two-Photon-Exchange (TPE) correction is presented. The implications of this correction on the radii and the question of a directly visible signal of the pion cloud are addressed.

A1 Collaboration; J. C. Bernauer; M. O. Distler; J. Friedrich; Th. Walcher; P. Achenbach C. Ayerbe Gayoso; R. Böhm; L. Debenjak; L. Doria; A. Esser; H. Fonvieille; M. Gómez Rodrígues de la Paz; J. M. Friedrich; M. Makek; H. Merkel; D. G. Middleton; U. Müller; L. Nungesser; J. Pochodzalla; M. Potokar; S. Sánchez Majos; B. S. Schlimme; S. Širca; M. Weinriefer

2014-07-29T23:59:59.000Z

454

Measurement of the neutron electric form factor via recoil polarimetry  

SciTech Connect (OSTI)

The ratio G{sub c}{sup n}/G{sub m}{sup n} of the electric to the magnetic form factor of the neutron has been measured by analyzing the polarization of the recoiling neutron in quasi-elastic scattering of longitudinally polarized electrons from deuterium at the Q{sup 2} values of 0.45, 1.15, and 1.47 (GeV/c){sup 2}. The experiment has been performed in Hall C of the Thomas Jefferson National Accelerator Facility. With G{sub m}{sup n} being known G can be deduced. The preliminary results show that the lowest Q{sup 2} points follow the Galster parameterization and that the 1.47 (GeV/c){sup 2} point rises above this parameterization.

T. Reichelt; R. Madey; A.Yu. Semenov; S. Taylor; A. Aghalarian; E. Crouse; G. MacLachlan; B. Plaster; S. Tajima; W. Tireman; C.Y. Yan; A. Ahmidouch; B.D. Anderson; R. Asaturian; O. Baker; A.R. Baldwin; H. Breuer; R. Carlini; E. Christy; S. Churchwell; L. Cole; S. Danagulian; D. Day; M. Elaasar; R. Ent; M. Farkhondeh; H. Fenker; J.M. Finn; L. Gan; K. Garrow; P. Gueye; C. Howell; B. Hu; M.K. Jones; J.J. Kelly; C. Keppel; M. Khandaker; W.Y. Kim; S. Kowalski; A. Lung; D. Mack; D.M. Manley; P. Markowitz; J. Mitchell; H. Mkrtchian; A.K. Opper; C. Perdrisat; V. Punjabi; B. Raue; J. Reinhold; J. Roche; Y. Sato; W. Seo; N. Simicevic; G. Smith; S. Stepanian; V. Tadevosian; L. Tang; P. Ulmer; W. Vulcan; J.W. Watson; S. Wells; F. Wesselmann; S. Wood; C. Yan; S. Yang; L. Yuan; W.M. Zhang; H. Zhu; X. Zhu; H. Arenhovel

2003-10-22T23:59:59.000Z

455

Direct calculation of leak path factors for highly compartmentalized buildings  

SciTech Connect (OSTI)

The large, highly compartmentalized configurations of buildings at many Department of Energy (DOE) facilities call the validity of traditional, simplistic methods for estimating contaminant leak path factors (LPFs) into question. Conversely, rigorous calculation of LPFs using detailed flow-field analysis computer codes is impractical for routine analysis. This paper describes a recent application of a rigorous, yet practical, method of calculating LPFs for the Chemical and Metallurgical Research (CMR) Facility at Los Alamos National Laboratory (LANL). The approach involves computer simulation of airborne contaminant transport using the MELCOR computer code. MELCOR is a general-purpose, fluid flow and aerosol transport analysis code originally developed by the US Nuclear Regulatory Commission to evaluate the release, transport, and deposition of radionuclides in nuclear reactor systems. However, the fundamental mathematical models in the code and the modular code architecture make it suitable to the CMR analysis.

Leonard, M.T. [ITS Corp., Albuquerque, NM (United States); McClure, P.R. [Los Alamos National Lab., NM (United States)

1998-12-01T23:59:59.000Z

456

Estimating Franck-Condon factors using an NMR quantum processor  

E-Print Network [OSTI]

Interaction of molecules with light may lead to electronic transitions and simultaneous vibrational excitations. Franck-Condon factors (FCFs) play an important role in quantifying the intensities of such vibronic transitions occurring during molecular photo-excitations. In this article, we describe a general method for estimating FCFs using a quantum information processor. The method involves the application of a translation operator followed by the measurement of certain projections. We also illustrate the method by experimentally estimating FCFs with the help of a three-qubit NMR quantum information processor. We describe two methods for the measurement of projections - (i) using diagonal tomography and (ii) using Moussa protocol. The experimental results agree fairly well with the theory.

Sharad Joshi; Abhishek Shukla; Hemant Katiyar; Anirban Hazra; T. S. Mahesh

2014-05-10T23:59:59.000Z

457

Acoustic quality factor and energy losses in cylindrical pipes  

Science Journals Connector (OSTI)

The quality factor Q of a damped oscillator equals 2? times the ratio of stored energy to the energy dissipated per cycle. This makes Q a sensitive probe of energy losses. Using modest equipment we measured the acoustical Q for a set of cylindrical pipes having the same resonant frequency but different diameters D. The graph of Q vs D could be well fitted with two parameters one of which corresponds to energy loss via radiation from the ends of the pipe and the other to thermal and viscous losses very close to the pipe wall. The wall loss parameter was quite constant no matter where the pipes were located but the radiative loss parameter varied significantly with location inside a room suggesting that room reflections affected the sound radiated from the pipe. This study offers valuable insights at no great expense and could be the basis of an upper-division undergraduatelaboratory experiment.

Michael J. Moloney; Daniel L. Hatten

2001-01-01T23:59:59.000Z

458

Factors affecting characterization of bulk high-temperature superconductors  

SciTech Connect (OSTI)

Three major factors affect the characterization of bulk high-temperature superconductors in terms of their levitation properties during interaction with permanent magnets. First, the appropriate parameter for the permanent magnet is internal magnetization, not the value of the magnetic field measured at the magnet`s surface. Second, although levitation force grows with superconductor thickness and surface area, for a given permanent magnet size, comparison of levitation force between samples is meaningful when minimum values are assigned to the superconductor size parameters. Finally, the effect of force creep must be considered when time-averaging the force measurements. In addition to levitational force, the coefficient of friction of a levitated rotating permanent magnet may be used to characterize the superconductor.

Hull, J.R. [Argonne National Lab., IL (United States). Energy Technology Div.

1997-11-01T23:59:59.000Z

459

Phenomenology of -factorization for inclusive Higgs boson production at LHC  

Science Journals Connector (OSTI)

Abstract We investigate the inclusive Higgs boson production in proton–proton collisions at high energies in the framework of k T -factorization QCD approach. The attention is focused on the dominant off-shell gluon–gluon fusion subprocess g ? g ? ? H ? ? ? , where the transverse momentum of incoming gluons are taken into account. The transverse momentum dependent (or unintegrated) gluon densities of the proton are determined using the CCFM evolution equation as well as the Kimber–Martin–Ryskin prescription. We study the theoretical uncertainties of our calculations and perform the comparison with the results of traditional pQCD evaluations. Our predictions agree well with the first experimental data taken by the ATLAS Collaboration at the LHC. We argue that further studies of the Higgs boson production are capable of constraining the unintegrated gluon densities of the proton.

A.V. Lipatov; M.A. Malyshev; N.P. Zotov

2014-01-01T23:59:59.000Z

460

Biosphere dose conversion Factor Importance and Sensitivity Analysis  

SciTech Connect (OSTI)

This report presents importance and sensitivity analysis for the environmental radiation model for Yucca Mountain, Nevada (ERMYN). ERMYN is a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis concerns the output of the model, biosphere dose conversion factors (BDCFs) for the groundwater, and the volcanic ash exposure scenarios. It identifies important processes and parameters that influence the BDCF values and distributions, enhances understanding of the relative importance of the physical and environmental processes on the outcome of the biosphere model, includes a detailed pathway analysis for key radionuclides, and evaluates the appropriateness of selected parameter values that are not site-specific or have large uncertainty.

M. Wasiolek

2004-10-15T23:59:59.000Z

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461

Factors Predicting Completion of the Human Papillomavirus Vaccine Series  

Science Journals Connector (OSTI)

Purpose This study identified factors associated with completion of the three dose quadrivalent human papillomavirus vaccine (HPV4) series by female adolescents. Methods Between February and September 2008, we prospectively surveyed 11- to 26-year-old female members of an integrated managed care organization shortly after their first HPV4 dose to identify factors that predicted series completion. We used regression analyses to assess whether self-reported experiences at the index visit, knowledge/attitudes about HPV and HPV4, and medical record data on adverse events, demographic characteristics, care-utilization frequency, and visit characteristics, were associated with vaccine series completion within one year of the first HPV4 dose. Results Of 899 survey respondents (27% of 3347 survey recipients), 786 (87%) maintained continuous enrollment in the health plan in the year following the first HPV4 dose. Fifty percent (n = 393) completed the vaccine series within that year. In multivariate analyses of survey respondents, only respondents’ ability to correctly identify the number of shots required for series completion was significantly associated with series completion. Reported bruising was associated with decreased likelihood of completion, and the clinician stating that future shots were required was associated with increased likelihood, but both were of borderline significance. Females ages 16–20 had the lowest series completion. Conclusions Improving HPV4 completion will require targeted efforts. Our results suggest that providers may help by stressing the need for additional doses of vaccine, and confirming that patients understand this information. Special attention should be given to females ages 16–20. Future randomized trials should assess the effect on vaccine completion of these simple, low-cost interventions.

Rachel Gold; Allison Naleway; Karen Riedlinger

2013-01-01T23:59:59.000Z

462

p27{sup Kip1} inhibits tissue factor expression  

SciTech Connect (OSTI)

Highlights: •p27{sup Kip1}regulates the expression of tissue factor at the transcriptional level. •This inhibitory effect of p27{sup Kip1} is independently of its cell regulatory action. •The current study provides new insights into a pleiotrophic function of p27{sup Kip1}. -- Abstract: Background: The cyclin-dependent kinase inhibitor (CDKI) p27{sup Kip1} regulates cell proliferation and thus inhibits atherosclerosis and vascular remodeling. Expression of tissue factor (TF), the key initator of the coagulation cascade, is associated with atherosclerosis. Yet, it has not been studied whether p27{sup Kip1} influences the expression of TF. Methods and results: p27{sup Kip1} overexpression in human aortic endothelial cells was achieved by adenoviral transfection. Cells were rendered quiescent for 24 h in 0.5% fetal-calf serum. After stimulation with TNF-? (5 ng/ml), TF protein expression and activity was significantly reduced (n = 4; P < 0.001) in cells transfected with p27{sup Kip1}. In line with this, p27{sup Kip1} overexpression reduced cytokine-induced TF mRNA expression (n = 4; P < 0.01) and TF promotor activity (n = 4; P < 0.05). In contrast, activation of the MAP kinases p38, ERK and JNK was not affected by p27{sup Kip1} overexpression. Conclusion: This in vitro study suggests that p27{sup Kip1} inhibits TF expression at the transcriptional level. These data indicate an interaction between p27{sup Kip1} and TF in important pathological alterations such as atherosclerosis and vascular remodeling.

Breitenstein, Alexander, E-mail: alexander.breitenstein@usz.ch [Cardiology, University Heart Center, University Hospital Zurich (Switzerland) [Cardiology, University Heart Center, University Hospital Zurich (Switzerland); Cardiovascular Research, Physiology Institute, University of Zurich (Switzerland); Center for Integrative Human Physiology (ZHIP), University of Zurich (Switzerland); Akhmedov, Alexander; Camici, Giovanni G.; Lüscher, Thomas F.; Tanner, Felix C. [Cardiology, University Heart Center, University Hospital Zurich (Switzerland) [Cardiology, University Heart Center, University Hospital Zurich (Switzerland); Cardiovascular Research, Physiology Institute, University of Zurich (Switzerland); Center for Integrative Human Physiology (ZHIP), University of Zurich (Switzerland)

2013-10-04T23:59:59.000Z

463

Graduate Studies in Industrial and Systems Engineering Human Factors/Ergonomics  

E-Print Network [OSTI]

1 Graduate Studies in Industrial and Systems Engineering Human Factors/Ergonomics 2013-2014 Introduction Human Factors Engineering, also known as Ergonomics, can be briefly defined as the science and skills. At OSU, Human Factors/Ergonomics (HF/E) is composed of two broad areas: Cognitive Engineering

464

Environmental factors which may have led to the appearance of colour vision  

Science Journals Connector (OSTI)

...Marshall Environmental factors which may have led to the appearance of colour vision Vadim...evolution| Environmental factors which may have led to the appearance of colour vision. | It...Light Environmental factors which may have led to the appearance of colour vision Vadim...

2000-01-01T23:59:59.000Z

465

2010 Guidelines to Defra / DECC's GHG Conversion Factors for Company Reporting  

E-Print Network [OSTI]

2010 Guidelines to Defra / DECC's GHG Conversion Factors for Company Reporting: Methodology Paper for Emission Factors October 2010 www.defra.gov.uk #12;2010 Guidelines to Defra / DECCs GHG Conversion Factors by the Department for Environment, Food and Rural Affairs #12;2010 Guidelines to Defra / DECCs GHG Conversion

466

‘Private' Blood Factors, Homozygosis, and the Search for New Blood Groups  

Science Journals Connector (OSTI)

... How 'private' a blood factor appears to be may depend upon the population studied with the ... on this population only, the factor it defined fell into the class of a 'private' blood factor; but when the antibody was tested witji the blood of whites it ...

BRUCE CHOWN; MARION LEWIS

1953-04-18T23:59:59.000Z

467

84 Yun et al. Ribosome recycling factor Acta Cryst. (2000). D56, 8485 crystallization papers  

E-Print Network [OSTI]

84 Yun et al. Ribosome recycling factor Acta Cryst. (2000). D56, 84±85 crystallization papers Acta crystallographic studies of ribosome recycling factor from Escherichia coli Jungmin Yun,a Wookhyun Kim,a Sung Chul rights reserved Ribosome recycling factor (RRF) catalyzes the disassembly of a termination complex during

Suh, Se Won

468

Guidelines to Defra's GHG conversion factors for company reporting Annexes updated June 2007  

E-Print Network [OSTI]

with the standard conversion factors at Annex 1. If, however, you export energy or heat to another business (or2007 Guidelines to Defra's GHG conversion factors for company reporting Annexes updated June 2007 results #12;Annex 1 - Fuel Conversion Factors Last updated: Jun-07 Table 1 Fuel Type Amount used per year

469

Nutritional Predictors of Insulin-like Growth Factor I and Their Relationships to Cancer in Men  

Science Journals Connector (OSTI)

...is hepatocyte growth factor activator (HGFA) which...single-chain zymogen growth factor ligand precursors to...fluorescence resonance energy transfer (FRET) assay...effectively prevented the conversion of native pro-HGF to...regulation of growth factors, cell signaling, and...

Edward Giovannucci; Michael Pollak; Yan Liu; Elizabeth A. Platz; Noreen Majeed; Eric B. Rimm; and Walter C. Willett

2003-02-01T23:59:59.000Z

470

Abstract LB-197: Hepatocyte Growth Factor Activator (HGFA) Inhibitors of c-MET/RON Kinase Signaling  

Science Journals Connector (OSTI)

...is hepatocyte growth factor activator (HGFA) which...single-chain zymogen growth factor ligand precursors to...fluorescence resonance energy transfer (FRET) assay...effectively prevented the conversion of native pro-HGF to...regulation of growth factors, cell signaling, and...

James W. Janetka; Manjula Agarwal; and Darin E. Jones

2011-04-15T23:59:59.000Z

471

Work Style and Conditions Inventory Below is a list of factors characterizing working conditions. These factors should always be taken into consideration wh  

E-Print Network [OSTI]

Work Style and Conditions Inventory Below is a list of factors characterizing working conditions for or against certain job settings and job traits can affect our enjoy success in a given position. What working conditions do you prefer and in which you perform best? Circle those factor important to you. High pressure

Snider, Barry B.

472

Use of Personal-Indoor-Outdoor Sulfur Concentrations to Estimate the Infiltration Factor and Outdoor Exposure Factor for Individual Homes and Persons  

Science Journals Connector (OSTI)

Use of Personal-Indoor-Outdoor Sulfur Concentrations to Estimate the Infiltration Factor and Outdoor Exposure Factor for Individual Homes and Persons ... Indoor?outdoor comparisons of sulfur concentrations thus provide a direct way to estimate Finf for each individual home. ... Of 36 homes, 22 had intercepts not significantly different from zero, indicating no apparent source of sulfur in the home. ...

Lance Wallace; Ron Williams

2005-01-26T23:59:59.000Z

473

Decommissioning Cost Estimating Factors And Earned Value Integration  

SciTech Connect (OSTI)

The Rocky Flats 771 Project progressed from the planning stage of decommissioning a plutonium facility, through the strip-out of highly-contaminated equipment, removal of utilities and structural decontamination, and building demolition. Actual cost data was collected from the strip-out activities and compared to original estimates, allowing the development of cost by equipment groupings and types and over time. Separate data was developed from the project control earned value reporting and compared with the equipment data. The paper discusses the analysis to develop the detailed factors for the different equipment types, and the items that need to be considered during characterization of a similar facility when preparing an estimate. The factors are presented based on direct labor requirements by equipment type. The paper also includes actual support costs, and examples of fixed or one-time start-up costs. The integration of the estimate and the earned value system used for the 771 Project is also discussed. The paper covers the development of the earned value system as well as its application to a facility to be decommissioned and an existing work breakdown structure. Lessons learned are provided, including integration with scheduling and craft supervision, measurement approaches, and verification of scope completion. In summary: The work of decommissioning the Rocky Flats 771 Project process equipment was completed in 2003. Early in the planning process, we had difficulty in identifying credible data and implementing processes for estimating and controlling this work. As the project progressed, we were able to collect actual data on the costs of removing plutonium contaminated equipment from various areas over the life of this work and associate those costs with individual pieces of equipment. We also were able to develop and test out a system for measuring the earned value of a decommissioning project based on an evolving estimate. These were elements that would have been useful to us in our early planning process, and we would expect that they would find application elsewhere as the DOE weapons complex and some commercial nuclear facilities move towards closure. (authors)

Sanford, P.C.; Cimmarron, E. [Englewood, CO, B. Skokan, Office of Project Management Oversight, EM-53, United States Department of Energy, Washington, DC (United States)

2008-07-01T23:59:59.000Z

474

Handbook of Emission Factors for Road Transport (HBEFA) | Open Energy  

Open Energy Info (EERE)

of Emission Factors for Road Transport (HBEFA) of Emission Factors for Road Transport (HBEFA) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Handbook of Emission Factors for Road Transport (HBEFA) Focus Area: Clean Transportation Topics: Policy, Deployment, & Program Impact Website: www.hbefa.net/e/index.html Equivalent URI: cleanenergysolutions.org/content/handbook-emission-factors-road-transp Language: "English,French,German" is not in the list of possible values (Abkhazian, Achinese, Acoli, Adangme, Adyghe; Adygei, Afar, Afrihili, Afrikaans, Afro-Asiatic languages, Ainu, Akan, Akkadian, Albanian, Aleut, Algonquian languages, Altaic languages, Amharic, Angika, Apache languages, Arabic, Aragonese, Arapaho, Arawak, Armenian, Aromanian; Arumanian; Macedo-Romanian, Artificial languages, Assamese, Asturian; Bable; Leonese; Asturleonese, Athapascan languages, Australian languages, Austronesian languages, Avaric, Avestan, Awadhi, Aymara, Azerbaijani, Balinese, Baltic languages, Baluchi, Bambara, Bamileke languages, Banda languages, Bantu (Other), Basa, Bashkir, Basque, Batak languages, Beja; 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Pilipino, Finnish, Finno-Ugrian languages, Fon, French, Friulian, Fulah, Ga, Gaelic; Scottish Gaelic, Galibi Carib, Galician, Ganda, Gayo, Gbaya, Geez, Georgian, German, Germanic languages, Gilbertese, Gondi, Gorontalo, Gothic, Grebo, Greek, Modern, Guarani, Gujarati, Gwich'in, Haida, Haitian; Haitian Creole, Hausa, Hawaiian, Hebrew, Herero, Hiligaynon, Himachali languages; Western Pahari languages, Hindi, Hiri Motu, Hittite, Hmong; Mong, Hungarian, Hupa, Iban, Icelandic, Ido, Igbo, Ijo languages, Iloko, Inari Sami, Indic languages, Indo-European languages, Indonesian, Ingush, Interlingue; Occidental, Inuktitut, Inupiaq, Iranian languages, Irish, Iroquoian languages, Italian, Japanese, Javanese, Judeo-Arabic, Judeo-Persian, Kabardian, Kabyle, Kachin; Jingpho, Kalaallisut; Greenlandic, Kalmyk; Oirat, Kamba, Kannada, Kanuri, Kara-Kalpak, Karachay-Balkar, Karelian, Karen languages, Kashmiri, Kashubian, Kawi, Kazakh, Khasi, Khoisan languages, Khotanese; Sakan, Kikuyu; Gikuyu, Kimbundu, Kinyarwanda, Kirghiz; Kyrgyz, Klingon; tlhIngan-Hol, Komi, Kongo, Konkani, Korean, Kosraean, Kpelle, Kru languages, Kuanyama; Kwanyama, Kumyk, Kurdish, Kurukh, Kutenai, Ladino, Lahnda, Lamba, Land Dayak languages, Lao, Latin, Latvian, Lezghian, Limburgan; Limburger; Limburgish, Lingala, Lithuanian, Lojban, Lower Sorbian, Lozi, Luba-Katanga, Luba-Lulua, Luiseno, Lule Sami, Lunda, Luo (Kenya and Tanzania), Lushai, Luxembourgish; Letzeburgesch, Macedonian, Madurese, Magahi, Maithili, Makasar, Malagasy, Malay, Malayalam, Maltese, Manchu, Mandar, Mandingo, Manipuri, Manobo languages, Manx, Maori, Mapudungun; Mapuche, Marathi, Mari, Marshallese, Marwari, Masai, Mayan languages, Mende, Mi'kmaq; Micmac, Minangkabau, Mirandese, Mohawk, Moksha, Mon-Khmer languages, Mongo, Mongolian, Mossi, Multiple languages, Munda languages, N'Ko, Nahuatl languages, Nauru, Navajo; Navaho, Ndebele, North; North Ndebele, Ndebele, South; South Ndebele, Ndonga, Neapolitan, Nepal Bhasa; Newari, Nepali, Nias, Niger-Kordofanian languages, Nilo-Saharan languages, Niuean, North American Indian languages, Northern Frisian, Northern Sami, Norwegian, Nubian languages, Nyamwezi, Nyankole, Nyoro, Nzima, Occitan (post 1500); Provençal, Ojibwa, Oriya, Oromo, Osage, Ossetian; Ossetic, Otomian languages, Pahlavi, Palauan, Pali, Pampanga; Kapampangan, Pangasinan, Panjabi; Punjabi, Papiamento, Papuan languages, Pedi; Sepedi; Northern Sotho, Persian, Philippine languages, Phoenician, Pohnpeian, Polish, Portuguese, Prakrit languages, Pushto; Pashto, Quechua, Rajasthani, Rapanui, Rarotongan; Cook Islands Maori, Romance languages, Romanian; Moldavian; Moldovan, Romansh, Romany, Rundi, Russian, Salishan languages, Samaritan Aramaic, Sami languages, Samoan, Sandawe, Sango, Sanskrit, Santali, Sardinian, Sasak, Scots, Selkup, Semitic languages, Serbian, Serer, Shan, Shona, Sichuan Yi; Nuosu, Sicilian, Sidamo, Sign Languages, Siksika, Sindhi, Sinhala; Sinhalese, Sino-Tibetan languages, Siouan languages, Skolt Sami, Slave (Athapascan), Slavic languages, Slovak, Slovenian, Sogdian, Somali, Songhai languages, Soninke, Sorbian languages, Sotho, Southern, South American Indian (Other), Southern Altai, Southern Sami, Spanish; Castilian, Sranan Tongo, Sukuma, Sumerian, Sundanese, Susu, Swahili, Swati, Swedish, Swiss German; Alemannic; Alsatian, Syriac, Tagalog, Tahitian, Tai languages, Tajik, Tamashek, Tamil, Tatar, Telugu, Tereno, Tetum, Thai, Tibetan, Tigre, Tigrinya, Timne, Tiv, Tlingit, Tok Pisin, Tokelau, Tonga (Nyasa), Tonga (Tonga Islands), Tsimshian, Tsonga, Tswana, Tumbuka, Tupi languages, Turkish, Turkmen, Tuvalu, Tuvinian, Twi, Udmurt, Ugaritic, Uighur; Uyghur, Ukrainian, Umbundu, Uncoded languages, Undetermined, Upper Sorbian, Urdu, Uzbek, Vai, Venda, Vietnamese, Volapük, Votic, Wakashan languages, Walamo, Walloon, Waray, Washo, Welsh, Western Frisian, Wolof, Xhosa, Yakut, Yao, Yapese, Yiddish, Yoruba, Yupik languages, Zande languages, Zapotec, Zaza; Dimili; Dimli; Kirdki; Kirmanjki; Zazaki, Zenaga, Zhuang; Chuang, Zulu, Zuni) for this property.

475

“Solar tree”: Exploring new form factors of organic solar cells  

Science Journals Connector (OSTI)

Abstract Organic solar cells have great potential as a clean and renewable solar energy conversion system, due to their low cost materials, ease of production, and lack of harmful emissions. The rapid improvement in organic solar cell performance in recent years has triggered significant interests in developing organic solar cells for commercial applications. Harnessing the unique set of characteristics of organic solar cells, here we demonstrate a new form factor for organic solar cells, a “solar tree” or an electricity-generating artificial tree with organic solar cells as leaves. We first fabricated polymer:fullerene based organic solar cells on flexible plastic substrates that show similar performance to devices on rigid glass substrates using the inverted device structure. Large-area flexible devices were fabricated and cut into palm leaf shapes with an active device area of 6.5 cm2 using a steel rule die. 12 leaf-shaped organic solar cells were then assembled to form a prototype “solar palm tree”. Two different wiring configurations among the devices provided different power delivery modes: a low-voltage, high-current “fan mode” and a high voltage, low-current “LED mode”.

Weiran Cao; Zhifeng Li; Yixing Yang; Ying Zheng; Weijie Yu; Rimza Afzal; Jiangeng Xue

2014-01-01T23:59:59.000Z

476

Neutron charge radius and the neutron electric form factor  

Science Journals Connector (OSTI)

For nearly forty years, the Galster parametrization has been employed to fit existing data for the neutron electric form factor, GEn, vs the square of the four-momentum transfer, Q2. Typically this parametrization is constrained to be consistent with experimental data for the neutron charge radius. However, we find that the Galster form does not have sufficient freedom to accommodate reasonable values of the radius without constraining or compromising the fit. In addition, the GEn data are now at sufficient precision to motivate a two-parameter fit (or three parameters if we include thermal neutron data). Here we present a modified form of a two-dipole parametrization that allows this freedom and fits both GEn (including recent data at both low and high four-momentum transfer) and the charge radius well with simple, well-defined parameters. Analysis reveals that the Galster form is essentially a two-parameter approximation to the two-dipole form but becomes degenerate if we try to extend it naturally to three parameters.

T. R. Gentile and C. B. Crawford

2011-05-12T23:59:59.000Z

477

Highly Efficient Small Form Factor LED Retrofit Lamp  

SciTech Connect (OSTI)

This report summarizes work to develop a high efficiency LED-based MR16 lamp downlight at OSRAM SYLVANIA under US Department of Energy contract DE-EE0000611. A new multichip LED package, electronic driver, and reflector optic were developed for these lamps. At steady-state, the lamp luminous flux was 409 lumens (lm), luminous efficacy of 87 lumens per watt (LPW), CRI (Ra) of 87, and R9 of 85 at a correlated color temperature (CCT) of 3285K. The LED alone achieved 120 lumens per watt efficacy and 600 lumen flux output at 25 C. The driver had 90% electrical conversion efficiency while maintaining excellent power quality with power factor >0.90 at a power of only 5 watts. Compared to similar existing MR16 lamps using LED sources, these lamps had much higher efficacy and color quality. The objective of this work was to demonstrate a LED-based MR16 retrofit lamp for replacement of 35W halogen MR16 lamps having (1) luminous flux of 500 lumens, (2) luminous efficacy of 100 lumens per watt, (3) beam angle less than 40{sup o} and center beam candlepower of at least 1000 candelas, and (4) excellent color quality.

Steven Allen; Fred Palmer; Ming Li

2011-09-11T23:59:59.000Z

478

Factors regulating PAH transformations in disturbed coastal sediments  

SciTech Connect (OSTI)

Important limitations to bacterial transformations of polycyclic aromatic hydrocarbon (PAH) compounds in sediments include compound structure, dissolved concentration and oxygen availability. Here the authors present evidence suggesting that dissolved concentration is as important as structure in controlling degradation in radiolabeled sediments in flow through microcosms. Results from experiments where the mineralization rates of naphthalene phenanthrene and benzo[a]pyrene were related to the degree of oxygenation of suboxic sediments via sediment resuspension, showed that differences between mineralization rates and percent maximum degradation never varied by more than a factor of two between naphthalene and phenanthrene, despite phenanthrene having sixteen-fold greater hydrophobicity. The results also showed that dissolved naphthalene concentrations in the overlying water from frequently resuspended sediments were much farther below equilibrium predictions than dissolved concentrations of phenanthrene and B[a]P. The authors postulate that kinetic limitations to desorption into the aqueous phase limits the biodegradation of naphthalene to a greater extent than for phenanthrene and B[a]P. Results from experiments relating desorption from sediment to mineralization in side-by-side comparisons showed that labeled sediments undergoing resuspension in microcosms desorbed much less naphthalene than phenanthrene, and that the amount desorbed was largely underpredicted by a kinetic radial diffusion model, especially for naphthalene. Desorption rate limitation in the system may help to explain the similar degree of mineralization of naphthalene and phenanthrene seen in the experiments.

LeBlanc, L.A.; Gulnick, J.D.; Brownawell, B.J.; Taylor, G.T. [State Univ. of New York, Stony Brook, NY (United States). Marine Sciences Research Center

1995-12-31T23:59:59.000Z

479

Risk factors and stuttering: Evaluating the evidence for clinicians  

Science Journals Connector (OSTI)

This paper summarizes and discusses some of the key issues raised in the other four manuscripts in this special edition of Journal of Fluency Disorders. All the four pieces examine risk factors in developmental stuttering from different perspectives and all provide stand-alone contributions to knowledge on the subject. Thus, rather than review, the focus of the present paper is to highlight those matters, which, from a clinical perspective might be seen as either (a) of the greatest contention, (b) of particular relevance to clinicians, or (c) requiring greater emphasis in future research, on the basis of the conclusions from the authors involved. Educational objectives: This paper provides an overview of points of particular clinical interest arising from the four contributions to this special edition. Readers will be able to (a) understand arguments for and against whole word repetitions being included as moments of stuttering in the SSI-3 assessment, (b) understand arguments relating to psychological components in early onset stuttering, (c) understand some of the complexities in interpreting data pertaining to recovery from stuttering, (d) understand where future efforts in research into risk of stuttering should be placed.

David Ward

2013-01-01T23:59:59.000Z

480

Emission factor estimates of cereal waste burning in Spain  

Science Journals Connector (OSTI)

Every year more than 5 million ha of cereal fields are affected by fires in order to eliminate cereal waste in Spain. The characteristics of this type of fire with intense flames are similar to those of the African dry savanna heading fires. This paper surveys the atmospheric emission caused by this process by combining results of field and combustion chamber experiments. Combustion chamber experiments show that during the flaming phase 88% of the fire exposed carbon is converted into CO2 and during the smoldering phase this percentage changes to 74%. These combustion chamber experiments also show that the soluble part of the aerosols emitted during the course of fires only represent 3% of the total particulate matter (TPM) produced, being the ions K+ and CI? the predominant ones. The cereal waste fire process can be represented by an arithmetic combination that takes into account the amounts of mass burned during the two phases of the fire: 0.90 flaming +0.10 smoldering. Emission factor estimates from field burning experiment are 13±7 g TPM kg?1(dm) and 2.8±0.2 g NOx kg?1 (dm). Finally, we obtain average emissions of 80–130 Gg TPM, 17–28 Gg NOx, 210–350 Gg CO and 8–14 Tg CO2 in Spain. These emissions represent nearly 25% of the total \\{NOx\\} and 50% of the total CO2 emissions by other pollution sources during the burning period in Spain.

I. Ortiz de Zárate; A. Ezcurra; J.P. Lacaux; Pham Van Dinh

2000-01-01T23:59:59.000Z

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481

Knowledge Elecitation for Factors Affecting Taskforce Productivity using a Questionnaire  

E-Print Network [OSTI]

In this paper we present the process of Knowledge Elicitation through a structured questionnaire technique. This is an effort to depict a problem domain as Investigation of factors affecting taskforce productivity. The problem has to be solved using the expert system technology. This problem is the very first step how to acquire knowledge from the domain experts. Knowledge Elicitation is one of the difficult tasks in knowledge base formation which is a key component of expert system. The questionnaire was distributed among 105 different domain experts of Public and Private Organizations (i.e. Education Institutions, Industries and Research etc) in Pakistan. A total 61 responses from these experts were received. All the experts were well qualified, highly experienced and has been remained the members for selection committees a number of times for different posts. Facts acquired were analyzed from which knowledge was extracted and elicited. A standard shape was given to the questionnaire for further research as a knowledge learning tool. This tool may be used as a standard document for selection and promotion of employees.

Muhammad Sohail; Abdur Rashid Khan

2009-07-30T23:59:59.000Z

482

Quality Factor for the Hadronic Calorimeter in High Luminosity Conditions  

E-Print Network [OSTI]

The Tile Calorimeter (TileCal) is the central section of the hadronic calorimeter of ATLAS experiment and has about 10,000 eletronic channels. An Optimal Filter (OF) has been used to estimate the energy sampled by the calorimeter and applies a Quality Factor (QF) for signal acceptance. An approach using Matched Filter (MF) has also been pursued. In order to cope with the luminosity rising foreseen for LHC operation upgrade, different algorithms have been developed. Among them, the Constrained Optimal Filter (COF) is showing good capacity in handling such luminosity rise by using a deconvolution technique, which revocers physics signals from out of time pile up. When pile up noise is low, COF switches to MF estimator for optimal performance. Currently, the OF measure for signal acceptance is implemented through a chi-square test. At a low-muninosity scenario, such QF measure has been used as a way to describe how the acquired singal is compatible to the pulse shape pattern. However, at high-luminosity conditio...

Balabram, LE; The ATLAS collaboration; Filho, LM

2014-01-01T23:59:59.000Z

483

Factors influencing electrical place pitch perception in bimodal listeners  

Science Journals Connector (OSTI)

Factors that might affect perceptual pitch match between acoustic and electric stimulation were examined in 25 bimodal listeners using magnitude estimation. Pre-operative acoustic thresholds in both ears and duration of severe-profound loss were first examined as correlates with degree of match between the measured pitch and that predicted by the spiral ganglion frequency-position model. The degree of match was examined with respect to (1) the ratio between the measured and predicted pitch percept on the most apical electrode and (2) the ratio between the slope of the measured and predicted pitch function. Second effect of listening experience was examined to assess whether adaptation occurred over time to match the frequency assignment to electrodes. Pre-experience pitch estimates on the apical electrode were within the predicted range in only 28% of subjects and the slope of the electrical pitch function was lower than predicted in all except one subject. Subjects with poorer hearing tended to have a lower pitch and a shallower electrical pitch function than predicted by the model. Pre-operative hearing thresholds in the contralateral ear and hearing loss duration were not correlated with the degree of pitch match and there was no significant group effect of listening experience.

Hugh J. McDermott; Richard J. M. van Hoesel; Pamela W. Dawson; Robert S. Cowan

2014-01-01T23:59:59.000Z

484

Deducing spectroscopic factors from wave-function asymptotics  

E-Print Network [OSTI]

In a coupled-channel model, we explore the effects of coupling between configurations on the radial behavior of the wave function and, in particular, on the spectroscopic factor (SF) and the asymptotic normalization coefficient (ANC). We evaluate the extraction of a SF from the ratio of the ANC of the coupled-channel model to that of a single-particle approximation of the wave function. We perform this study within a core + n collective model, which includes two states of the core that connect by a rotational coupling. To get additional insights, we also use a simplified model that takes a delta function for the coupling potential. Calculations are performed for 11Be. Fair agreement is obtained between the SF inferred from the single-particle approximation and the one obtained within the coupled-channel models. Significant discrepancies are observed only for large coupling strength and/or large admixture, that is, a small SF. This suggests that reliable SFs can be deduced from the wave-function asymptotics when the structure is dominated by one configuration, that is, for a large SF.

P. Capel; P. Danielewicz; F. M. Nunes

2010-09-15T23:59:59.000Z

485

Deducing spectroscopic factors from wave-function asymptotics  

SciTech Connect (OSTI)

In a coupled-channel model, we explore the effects of coupling between configurations on the radial behavior of the wave function and, in particular, on the spectroscopic factor (SF) and the asymptotic normalization coefficient (ANC). We evaluate the extraction of a SF from the ratio of the ANC of the coupled-channel model to that of a single-particle approximation of the wave function. We perform this study within a core+n collective model, which includes two states of the core that connect by a rotational coupling. To get additional insights, we also use a simplified model that takes a {delta} function for the coupling potential. Calculations are performed for {sup 11}Be. Fair agreement is obtained between the SF inferred from the single-particle approximation and the one obtained within the coupled-channel models. Significant discrepancies are observed only for large coupling strength and/or large admixture, that is, a small SF. This suggests that reliable SFs can be deduced from the wave-function asymptotics when the structure is dominated by one configuration, that is, for a large SF.

Capel, P. [Physique Quantique, C.P. 165/82, and Physique Nucleaire Theorique et Physique Mathematique, C.P. 229, Universite Libre de Bruxelles (ULB), B-1050 Brussels (Belgium); National Superconducting Cyclotron Laboratory and Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824 (United States); Danielewicz, P.; Nunes, F. M. [National Superconducting Cyclotron Laboratory and Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824 (United States)

2010-11-15T23:59:59.000Z

486

FORM FACTORS FOR RADIATIVE PION AND KAON DECAYS Updated August  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

August August 2009 by W. Bertl (Paul Scherrer Inst.) The radiative decays, π ± → l ± νγ and K ± → l ± νγ, with l standing for an e or a µ, and γ for a real or virtual photon (e + e - pair), provide a powerful tool to investigate the hadronic structure of pions and kaons. The structure-dependent part SD i of the amplitude describes the emission of photons from virtual hadronic states, and is parametrized in terms of form factors F i , with i = V, A (vector, axial vector), in the standard description [1,2]. Exotic, non-standard contributions like i = T, S (tensor, scalar) have also been considered, and we shall discuss them below. Apart from the SD terms, the decay amplitude depends also on Inner Bremsstrahlung IB from the weak decay π ± (K ± ) → l ± ν accompanied by the photon radiated from the external charged particles. Naturally, experiments try to optimize their kinematics so as to minimize

487

Major Risk Factors Integrated Facility Disposition Project - Oak Ridge  

Broader source: Energy.gov (indexed) [DOE]

O O O f f f f i i c c e e o o f f E E n n v v i i r r o o n n m m e e n n t t a a l l M M a a n n a a g g e e m m e e n n t t ( ( E E M M ) ) E E n n g g i i n n e e e e r r i i n n g g a a n n d d T T e e c c h h n n o o l l o o g g y y External Technical Review (ETR) Report Major Risk Factors Integrated Facility Disposition Project (IFDP) Oak Ridge, TN AUGUST 1, 2008 Acknowledgement The External Technical Review of the Integrated Facility Disposition Project was conducted simultaneous to other assessments and visits. The ETR Team wishes to note the outstanding support received from all parties involved in the review, including the DOE Oak Ridge Office, the National Nuclear Security Administration Y-12 Site Office, UT-Battelle, B&W Y-12, and the Professional Project Services, Inc. (Pro2Serve). The ETR Team feels compelled to note, and

488

Spontaneous emission factor for semiconductor superluminescent diodes Yongsheng Zhao, Weihua Han, Junfeng Song, Xuemei Li, Yang Liu, Dingsan Gao,  

E-Print Network [OSTI]

Spontaneous emission factor for semiconductor superluminescent diodes Yongsheng Zhao, Weihua Han emission factor is an important parameter for the characterization of semiconductor light emitting devices difference involved in each device. In this article, the spontaneous emission factor for superluminescent

Cao, Hui

489

Table A12. Selected Combustible Inputs of Energy for Heat, Power, and  

U.S. Energy Information Administration (EIA) Indexed Site

Type" Type" " and End Use, 1994: Part 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,"Residual","Distillate",,,"(excluding","RSE" "SIC",,"Net Demand","Fuel","Fuel Oil and","Natural",,"Coal Coke","Row" "Code(a)","End-Use Categories","for Electricity(b)","Oil","Diesel Fuel(c)","Gas(d)","LPG","and Breeze)","Factors" "20-39","ALL INDUSTRY GROUPS" ,"RSE Column Factors:",0.5,1.4,1.4,0.8,1.2,1.2 ,"TOTAL INPUTS",3132,441,152,6141,99,1198,2.4

490

" Electricity Sales/Transfers Out",96,4  

U.S. Energy Information Administration (EIA) Indexed Site

4. Total First Use (formerly Primary Consumption) of Energy for All Purposes" 4. Total First Use (formerly Primary Consumption) of Energy for All Purposes" " by Selected Energy Sources, 1994" " (Estimates in Trillion Btu)" ,,"RSE" ,,"Row" "Selected Energy Sources","Total","Factors" ,"Total United States" "RSE Column Factor:",1 "Coal ",2105,4 "Natural Gas",6835,3 "Net Electricity",2656,2 " Purchased Electricity",2689,1 " Transfers In",53,4 " Generation from Noncombustible",," " " Renewable Resources",10,10 " Electricity Sales/Transfers Out",96,4 "Coke and Breeze",449,8 "Residual Fuel Oil",490,3

491

Table A39. Selected Combustible Inputs of Energy for Heat, Power, and  

U.S. Energy Information Administration (EIA) Indexed Site

9. Selected Combustible Inputs of Energy for Heat, Power, and" 9. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type, Census" " Region, and End Use, 1991: Part 2" " (Estimates in Trillion Btu)" ,,,"Distillate",,,"Coal" ,"Net Demand",,"Fuel Oil",,,"(excluding","RSE" ,"for","Residual","and",,,"Coal Coke","Row" "End-Use Categories","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","LPG","and Breeze)","Factors" "Total United States" "RSE Column Factors:",0.4,1.7,1.5,0.7,1,1.6

492

"Table A24. Total Expenditures for Purchased Energy Sources by Census Region,"  

U.S. Energy Information Administration (EIA) Indexed Site

4. Total Expenditures for Purchased Energy Sources by Census Region," 4. Total Expenditures for Purchased Energy Sources by Census Region," " Industry Group, and Selected Industries, 1991" " (Estimates in Million Dollars)" ,,,,,,,,,,,"RSE" "SIC"," "," "," ","Residual","Distillate ","Natural"," "," ","Coke"," ","Row" "Code(a)","Industry Groupsc and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors" ,,"Total United States" ,"RSE Column Factors:","0.6 ",0.6,1.3,1.3,0.7,1.2,1.2,1.5,1.1

493

Table A38. Selected Combustible Inputs of Energy for Heat, Power, and  

U.S. Energy Information Administration (EIA) Indexed Site

2" 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,"Net Demand","Residual","Distillate",,,"(excluding","RSE" "SIC",,"for Electri-","Fuel","Fuel Oil and","Natural",,"Coal Coke","Row" "Code","End-Use Categories","city(b)","Oil","Diesel Fuel(c)","Gas(d)","LPG","and Breeze)","Factors" "20-39","ALL INDUSTRY GROUPS" ,"RSE Column Factors:",0.4,1.7,1.5,0.7,1,1.6 ,"TOTAL INPUTS",2799,414,139,5506,105,1184,3 ,"Boiler Fuel",32,296,40,2098,18,859,3.6 ,"Total Process Uses",2244,109,34,2578,64,314,4.1

494

Table A37. Total Inputs of Energy for Heat, Power, and Electricity  

U.S. Energy Information Administration (EIA) Indexed Site

2" 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural Gas(c)","LPG","Breeze)","Other(d)","Factors" "Total United States" "RSE Column Factors:","NF",0.4,1.6,1.5,0.7,1,1.6,"NF" "TOTAL INPUTS",15027,2370,414,139,5506,105,1184,5309,3 "Boiler Fuel","--","W",296,40,2098,18,859,"--",3.6

495

Table A11. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

U.S. Energy Information Administration (EIA) Indexed Site

2" 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural Gas(c)","LPG","Breeze)","Other(d)","Factors" ,"Total United States" "RSE Column Factors:"," NF",0.5,1.3,1.4,0.8,1.2,1.2," NF" "TOTAL INPUTS",16515,2656,441,152,6141,99,1198,5828,2.7 "Indirect Uses-Boiler Fuel"," --",28,313,42,2396,15,875," --",4

496

Nucleon Structure and Hyperon Form Factors from Lattice QCD.  

SciTech Connect (OSTI)

In this work, I report the latest lattice QCD calculations of nucleon and hyperon structure from chiral fermions in 2+1-flavor dynamical simulations. All calculations are done with a chirally symmetric fermion action, domain-wall fermions, for valence quarks. I begin with the latest lattice results on the nucleon structure, focusing on results from RBC/UKQCD using 2+1-flavor chiral fermion actions. We find the chiral-extrapolated axial coupling constant at physical pion mass point. to be 1.23(5), consistent with experimental value. The renormalization constants for the structure functions are obtained from RI/MOM-scheme non-perturbative renormalization. We find first moments of the polarized and unpolarized nucleon structure functions at zero transfer momentum to be 0.133(13) and 0.203(23) respectively, using continuum chiral extrapolation. These are consistent with the experimental values, unlike previous calculations which have been 50% larger. We also have a prediction for the transversity, which we find to be 0.56(4). The twist-3 matrix element is consistent with zero which agrees with the prediction of the Wandzura-Wilczek relation. In the second half of this work, I report an indirect dynamical estimation of the strangeness proton magnetic moments using mixed actions. With the analysis of hyperon form factors and using charge symmetry, the strangeness of proton is found to be -0.066(2G), consistent with the Adelaide-JLab Collaboration's result. The hyperon {Sigma} and {Xi} axial coupling constants are also performed for the first time in a lattice calculation, g{sub {Sigma}{Sigma}} = 0.441(14) and g{sub {Xi}{Xi}} = -0.277(11).

Lin,H.W.

2007-06-11T23:59:59.000Z

497

Impact of HFIR LEU Conversion on Beryllium Reflector Degradation Factors  

SciTech Connect (OSTI)

An assessment of the impact of low enriched uranium (LEU) conversion on the factors that may cause the degradation of the beryllium reflector is performed for the High Flux Isotope Reactor (HFIR). The computational methods, models, and tools, comparisons with previous work, along with the results obtained are documented and discussed in this report. The report documents the results for the gas and neutronic poison production, and the heating in the beryllium reflector for both the highly enriched uranium (HEU) and LEU HFIR configurations, and discusses the impact that the conversion to LEU may have on these quantities. A time-averaging procedure was developed to calculate the isotopic (gas and poisons) production in reflector. The sensitivity of this approach to different approximations is gauged and documented. The results show that the gas is produced in the beryllium reflector at a total rate of 0.304 g/cycle for the HEU configuration; this rate increases by ~12% for the LEU case. The total tritium production rate in reflector is 0.098 g/cycle for the HEU core and approximately 11% higher for the LEU core. A significant increase (up to ~25%) in the neutronic poisons production in the reflector during the operation cycles is observed for the LEU core, compared to the HEU case, for regions close to the core s horizontal midplane. The poisoning level of the reflector may increase by more than two orders of magnitude during long periods of downtime. The heating rate in the reflector is estimated to be approximately 20% lower for the LEU core than for the HEU core. The decrease is due to a significantly lower contribution of the heating produced by the gamma radiation for the LEU core. Both the isotopic (gas and neutronic poisons) production and the heating rates are spatially non-uniform throughout the beryllium reflector volume. The maximum values typically occur in the removable reflector and close to the midplane.

Ilas, Dan [ORNL] ORNL

2013-10-01T23:59:59.000Z

498

Physical and biological factors determining the effective proton range  

SciTech Connect (OSTI)

Purpose: Proton radiotherapy is rapidly becoming a standard treatment option for cancer. However, even though experimental data show an increase of the relative biological effectiveness (RBE) with depth, particularly at the distal end of the treatment field, a generic RBE of 1.1 is currently used in proton radiotherapy. This discrepancy might affect the effective penetration depth of the proton beam and thus the dose to the surrounding tissue and organs at risk. The purpose of this study was thus to analyze the impact of a tissue and dose dependent RBE of protons on the effective range of the proton beam in comparison to the range based on a generic RBE of 1.1.Methods: Factors influencing the biologically effective proton range were systematically analyzed by means of treatment planning studies using the Local Effect Model (LEM IV) and the treatment planning software TRiP98. Special emphasis was put on the comparison of passive and active range modulation techniques.Results: Beam energy, tissue type, and dose level significantly affected the biological extension of the treatment field at the distal edge. Up to 4 mm increased penetration depth as compared to the depth based on a constant RBE of 1.1. The extension of the biologically effective range strongly depends on the initial proton energy used for the most distal layer of the field and correlates with the width of the distal penumbra. Thus, the range extension, in general, was more pronounced for passive as compared to active range modulation systems, whereas the maximum RBE was higher for active systems.Conclusions: The analysis showed that the physical characteristics of the proton beam in terms of the width of the distal penumbra have a great impact on the RBE gradient and thus also the biologically effective penetration depth of the beam.

Grün, Rebecca [Department of Biophysics, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt 64291 (Germany) [Department of Biophysics, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt 64291 (Germany); Institute of Medical Physics and Radiation Protection, University of Applied Sciences Gießen, Gießen 35390 (Germany); Medical Faculty of Philipps-University Marburg, Marburg 35032 (Germany); Friedrich, Thomas; Krämer, Michael; Scholz, Michael [Department of Biophysics, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt 64291 (Germany)] [Department of Biophysics, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt 64291 (Germany); Zink, Klemens [Institute of Medical Physics and Radiation Protection, University of Applied Sciences Gießen, Gießen 35390, Germany and Department of Radiotherapy and Radiation Oncology, University Medical Center Giessen and Marburg, Marburg 35043 (Germany)] [Institute of Medical Physics and Radiation Protection, University of Applied Sciences Gießen, Gießen 35390, Germany and Department of Radiotherapy and Radiation Oncology, University Medical Center Giessen and Marburg, Marburg 35043 (Germany); Durante, Marco [Department of Biophysics, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt 64291, Germany and Department of Condensed Matter Physics, Darmstadt University of Technology, Darmstadt 64289 (Germany)] [Department of Biophysics, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt 64291, Germany and Department of Condensed Matter Physics, Darmstadt University of Technology, Darmstadt 64289 (Germany); Engenhart-Cabillic, Rita [Medical Faculty of Philipps-University Marburg, Marburg 35032, Germany and Department of Radiotherapy and Radiation Oncology, University Medical Center Giessen and Marburg, Marburg 35043 (Germany)] [Medical Faculty of Philipps-University Marburg, Marburg 35032, Germany and Department of Radiotherapy and Radiation Oncology, University Medical Center Giessen and Marburg, Marburg 35043 (Germany)

2013-11-15T23:59:59.000Z

499

Crystal Structure of Human Plasma Platelet-Activating Factor Acetylhydrolase  

SciTech Connect (OSTI)

Human plasma platelet-activating factor (PAF) acetylhydrolase functions by reducing PAF levels as a general anti-inflammatory scavenger and is linked to anaphylactic shock, asthma, and allergic reactions. The enzyme has also been implicated in hydrolytic activities of other pro-inflammatory agents, such as sn-2 oxidatively fragmented phospholipids. This plasma enzyme is tightly bound to low and high density lipoprotein particles and is also referred to as lipoprotein-associated phospholipase A{sub 2}. The crystal structure of this enzyme has been solved from x-ray diffraction data collected to a resolution of 1.5{angstrom}. It has a classic lipase {alpha}/{beta}-hydrolase fold, and it contains a catalytic triad of Ser{sup 273}, His{sup 351}, and Asp{sup 296}. Two clusters of hydrophobic residues define the probable interface-binding region, and a prediction is given of how the enzyme is bound to lipoproteins. Additionally, an acidic patch of 10 carboxylate residues and a neighboring basic patch of three residues are suggested to play a role in high density lipoprotein/low density lipoprotein partitioning. A crystal structure is also presented of PAF acetylhydrolase reacted with the organophosphate compound paraoxon via its active site Ser{sup 273}. The resulting diethyl phosphoryl complex was used to model the tetrahedral intermediate of the substrate PAF to the active site. The model of interface binding begins to explain the known specificity of lipoprotein-bound substrates and how the active site can be both close to the hydrophobic-hydrophilic interface and at the same time be accessible to the aqueous phase.

Samanta, U.; Bahnson, B

2008-01-01T23:59:59.000Z

500

Applying Human Factors during the SIS Life Cycle  

SciTech Connect (OSTI)

Safety Instrumented Systems (SIS) are widely used in U.S. Department of Energy's (DOE) nonreactor nuclear facilities for safety-critical applications. Although use of the SIS technology and computer-based digital controls, can improve performance and safety, it potentially introduces additional complexities, such as failure modes that are not readily detectable. Either automated actions or manual (operator) actions may be required to complete the safety instrumented function to place the process in a safe state or mitigate a hazard in response to an alarm or indication. DOE will issue a new standard, Application of Safety Instrumented Systems Used at DOE Nonreactor Nuclear Facilities, to provide guidance for the design, procurement, installation, testing, maintenance, operation, and quality assurance of SIS used in safety significant functions at DOE nonreactor nuclear facilities. The DOE standard focuses on utilizing the process industry consensus standard, American National Standards Institute/ International Society of Automation (ANSI/ISA) 84.00.01, Functional Safety: Safety Instrumented Systems for the Process Industry Sector, to support reliable SIS design throughout the DOE complex. SIS design must take into account human-machine interfaces and their limitations and follow good human factors engineering (HFE) practices. HFE encompasses many diverse areas (e.g., information display, user-system interaction, alarm management, operator response, control room design, and system maintainability), which affect all aspects of system development and modification. This paper presents how the HFE processes and principles apply throughout the SIS life cycle to support the design and use of SIS at DOE nonreactor nuclear facilities.

Avery, K.

2010-05-05T23:59:59.000Z