National Library of Energy BETA

Sample records for rse row factors

  1. 2003 CBECS RSE Tables

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    of the Excel tables (access from main detailed tables page) or in PDF format here: Building Characteristics for All Buildings (Tables A1-A8) RSE Tables: PDF, 16 pages, 312KB...

  2. 1989 CBECS EUI

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

    5. Electricity Consumption and Expenditure Intensities, 1992 Building Characteristics RSE Column Factor: Electricity Consumption Electricity Expenditures RSE Row Factor per...

  3. Characteristics RSE Column Factor: Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948CaliforniaFeet) (Million CubicYear Jan.. U.S.

  4. 1989 CBECS EUI

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

    reported for fewer than 20 buildings. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding RSE column and RSE row factors. * See Glossary for...

  5. 1995 CECS C&E Tables

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

    reported for fewer than 20 buildings. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding RSE column and RSE row factors. * See Glossary for...

  6. RSE Wind | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgency (IRENA)OptionsEquivalent URI JumpbsamenAnatoliaRSE Wind

  7. 1989 CBECS EUI

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

    Table 3.2. Total Energy Consumption by Major Fuel, 1992 Building Characteristics RSE Column Factor: All Buildings Total Energy Consumption (trillion Btu) RSE Row Factor Number of...

  8. 1995 CECS C&E Tables

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

    Major Fuel, 1995 Building Characteristics RSE Column Factor: All Buildings Total Energy Consumption (trillion Btu) Primary Electricity (trillion Btu) RSE Row Factor Number of...

  9. 1989 CBECS EUI

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

    . Consumption for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: All Buildings Sum of Major Fuel Consumption RSE Row Factor Number of Buildings (thousand)...

  10. 1989 CBECS EUI

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

    . Expenditures for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: All Buildings Sum of Major Fuel Expenditures RSE Row Factor Number of Buildings (thousand)...

  11. 1989 CBECS EUI

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

    . Total Energy Consumption by Major Fuel, 1992 Building Characteristics RSE Column Factor: All Buildings Total Energy Consumption (trillion Btu) RSE Row Factor Number of Buildings...

  12. Table HC1-2a. Housing Unit Characteristics by Year of Construction...

    Gasoline and Diesel Fuel Update (EIA)

    2a. Housing Unit Characteristics by Year of Construction, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors...

  13. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Household Characteristics by Year of Construction, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to...

  14. Characteristics RSE Column Factor: All Vehicle Types

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948CaliforniaFeet) (Million CubicYear Jan. U.S.6.

  15. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    9a. Household Characteristics by Northeast Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row...

  16. 1992 CBECS C&E Table 3.29

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

    per Square Foot and Load Factors, 1992 Building Characteristics RSE Column Factor: All Demand-Metered Buildings Peak Watts per Square Foot Load Factor RSE Row Factor Number of...

  17. 1997 Housing Characteristics Tables Housing Unit Tables

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

    1997 Housing Unit Characteristics RSE Column Factor: Total 1997 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than 10,000...

  18. S:\\VM3\\RX97\\TBL_LIST.WPD [PFP#201331587

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

    1997 Home Office Equipment RSE Column Factor: Total 1997 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than 10,000...

  19. 1997 Housing Characteristics Tables Home Office Equipment Tables

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

    1997 Home Office Equipment RSE Column Factor: Total 1997 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than 10,000...

  20. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.2 1.1 1.4 1.3 Total...

  1. Table HC1-8a. Housing Unit Characteristics by Urban/Rural Location...

    Gasoline and Diesel Fuel Update (EIA)

    8a. Housing Unit Characteristics by UrbanRural Location, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors...

  2. appl_household2001.pdf

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

    8a. Appliances by UrbanRural Location, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City Town...

  3. appl_household2001.pdf

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

    2a. Appliances by Year of Construction, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001...

  4. appl_household2001.pdf

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

    0a. Appliances by Midwest Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total...

  5. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Household Characteristics by West Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

  6. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors...

  7. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    0a. Household Characteristics by Midwest Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors...

  8. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    8a. Air Conditioning by UrbanRural Location, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City...

  9. appl_household2001.pdf

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

    1a. Appliances by South Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total...

  10. char_household2001.pdf

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

    2001 Household Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total...

  11. appl_household2001.pdf

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

    9a. Appliances by Northeast Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors...

  12. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    8a. Household Characteristics by UrbanRural Location, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City...

  13. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Air Conditioning by West Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

  14. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    0a. Air Conditioning by Midwest Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors...

  15. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors...

  16. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    1a. Household Characteristics by South Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors...

  17. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD...

  18. ac_household2001.pdf

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

    2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to...

  19. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Appliances by West Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

  20. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    1a. Air Conditioning by South Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total...

  1. Table HC1-12a. Housing Unit Characteristics by West Census Region...

    Gasoline and Diesel Fuel Update (EIA)

    2a. Housing Unit Characteristics by West Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors...

  2. spaceheat_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Space Heating by Year of Construction, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1...

  3. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    a. Air Conditioning by Climate Zone, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and...

  4. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1...

  5. Table HC7-8a. Home Office Equipment by Urban/Rural Location...

    Gasoline and Diesel Fuel Update (EIA)

    8a. Home Office Equipment by UrbanRural Location, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total UrbanRural Location 1 RSE Row Factors City Town...

  6. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    0a. Home Office Equipment by Midwest Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total...

  7. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    1a. Home Office Equipment by South Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census...

  8. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    9a. Home Office Equipment by Northeast Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors...

  9. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2a. Home Office Equipment by West Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census...

  10. untitled

    Gasoline and Diesel Fuel Update (EIA)

    4a. Home Office Equipment by Type of Housing Unit, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family...

  11. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    2001 Home Office Equipment RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total...

  12. Characteristics RSE Column Factor: All Model Years Model Year

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948CaliforniaFeet) (Million CubicYear Jan. U.S.

  13. Characteristics RSE Column Factor: Households with Children Households Without Children

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948CaliforniaFeet) (Million CubicYear Jan.

  14. 1992 CBECS C & E

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

    of District Heat by End Use, 1989 District Heat Consumption (trillion Btu) Space Water a Total Heating Heating Other RSE Building Row Characteristics Factor 1.0 NF NF NF RSE...

  15. 1992 CBECS C & E

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

    0. Consumption of Fuel Oil by End Use, 1989 Fuel Oil Consumption (trillion Btu) Space Water a Total Heating Heating Other RSE Building Row Characteristics Factor 1.0 NF NF NF RSE...

  16. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    9a. Air Conditioning by Northeast Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row...

  17. Table HC1-10a. Housing Unit Characteristics by Midwest Census...

    Gasoline and Diesel Fuel Update (EIA)

    0a. Housing Unit Characteristics by Midwest Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row...

  18. Table HC1-11a. Housing Unit Characteristics by South Census...

    Gasoline and Diesel Fuel Update (EIA)

    1a. Housing Unit Characteristics by South Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row...

  19. Buildings and Energy in the 1980's (TABLES)

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

    than 10 households were sampled. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. * Because of rounding, data may...

  20. S:\\VM3\\RX97\\TBL_LIST.WPD

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    than 10 households were sampled. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. * Because of rounding, data may...

  1. Standing corn rows needed to help

    E-Print Network [OSTI]

    Minnesota, University of

    Standing corn rows needed to help reduce drifting snow By PAULA MOHR T HE Minnesota Department of Transportation is looking for more farmers to par- ticipate in its standing corn row program to help reduce and pays farmers to leave cornstalks up throughout the winter. Farmers are reimbursed for standing corn

  2. Roswell International Air Center Airport (ROW) Pavement Condition and Analysis

    E-Print Network [OSTI]

    Cal, Mark P.

    Roswell International Air Center Airport (ROW) Pavement Condition and Analysis Submitted to: Jane M ................................................1. Conditions at Roswell International Air Center (ROW) 4 .................................Figure 1. Geographic Location of Roswell International Air Center (ROW) 4 ..............................Table 1

  3. Buildings and Energy in the 1980's

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

    Table R8.87p. Total and Average Primary Consumption and Expenditures for All Major Energy Sources in Residential Buildings, 1987 Total Average RSE Row Factors Expenditures (million...

  4. 1992 CBECS C & E

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

    of Natural Gas by End Use, 1989 Natural Gas Consumption (trillion Btu) Space Water a Total Heating Heating Cooking Other RSE Building Row Characteristics Factor 1.0 NF...

  5. Optimization of row spacing and nitrogen fertilization for cotton 

    E-Print Network [OSTI]

    Clawson, Ernest Leslie

    2004-09-30

    Ultra-narrow row (UNR) cotton (Gossypium hirsutum L.) is a production system using high plant populations in reduced row spacings. The responses of this production system to nitrogen fertilizer have not been fully investigated. Evaluations...

  6. The Equivalence between Row and Column Linear Regression

    E-Print Network [OSTI]

    Tresp, Volker

    The Equivalence between Row and Column Linear Regression: A Surprising Feature of Linear Regression and Communications 81730 M¨unchen, Germany Abstract The rows of the design matrix in linear regression are the inputs of the training data set. Normal regression is row regression: the goal is to predict a training target from

  7. Propulsive Efficiency of Rowing Oars David S. Cabrera1

    E-Print Network [OSTI]

    Ruina, Andy L.

    Propulsive Efficiency of Rowing Oars David S. Cabrera1 Andy L. Ruina2 Department of Theoretical Is the common folklore, that oars are less efficient at propulsion than propellers, correct? Here we examine the propulsive efficiency of the oars used in competitive rowing. We take the propulsive efficiency of rowing

  8. BLM ROW Grant Template | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminex AAustria GeothermalInformationColor40 -Open EnergyROW Grant

  9. CSLB ROW Forms | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine:Kansas: Energy Resources JumpCIA-TheCSC/UND Team 3 <News andROW

  10. CSLC ROW Forms | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank, Maine:Kansas: Energy Resources JumpCIA-TheCSC/UND Team 3 <NewsFormsROW

  11. Homogenisation of a Row of Dislocation Dipoles

    E-Print Network [OSTI]

    Stephen Jonathan Chapman; Yang Xiang; Yichao Zhu

    2015-04-27

    Conventional discrete-to-continuum approaches have seen their limitation in describing the collective behaviour of the multi-polar configurations of dislocations, which are widely observed in crystalline materials. The reason is that dislocation dipoles, which play an important role in determining the mechanical properties of crystals, often get smeared out when traditional homogenisation methods are applied. To address such difficulties, the collective behaviour of a row of dislocation dipoles is studied by using matched asymptotic techniques. The discrete-to-continuum transition is facilitated by introducing two field variables respectively describing the dislocation pair density potential and the dislocation pair width. It is found that the dislocation pair width evolves much faster than the pair density. Such hierarchy in evolution time scales enables us to describe the dislocation dynamics at the coarse-grained level by an evolution equation for the slowly varying variable (the pair density) coupled with an equilibrium equation for the fast varying variable (the pair width). The time-scale separation method adopted here paves a way for properly incorporating dipole-like (zero net Burgers vector but non-vanishing) dislocation structures, known as the statistically stored dislocations (SSDs) into macroscopic models of crystal plasticity in three dimensions. Moreover, the natural transition between different equilibrium patterns found here may also shed light on understanding the emergence of the persistent slip bands (PSBs) in fatigue metals induced by cyclic loads.

  12. DOE Tour of Zero Floorplans: Row Homes at Perrin's Row by New Town Builders

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based| Department8, 2015 GATEWAY Takes onandField| Department of Energy Row

  13. 2003 CBECS RSE Tables

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic Monthly

  14. 30.-DEEP-WATER OYSTER CULTURE. BP HENRY C. ROWE.

    E-Print Network [OSTI]

    30.-DEEP-WATER OYSTER CULTURE. BP HENRY C. ROWE. It is conceded,I think, that the oyster-growersof Ckmnecticut have taken the lead in the artificial propagation and cultivation of oysters in deep water; by deep water I mean a depth of from 30 to 75 feet. It is but twenty years since the commencement

  15. Thread Row Buffers: Improving Memory Performance Isolation and Throughput

    E-Print Network [OSTI]

    Tullsen, Dean M.

    and energy efficiency. Furthermore, concurrent execution of applications also has shown the needThread Row Buffers: Improving Memory Performance Isolation and Throughput in Multiprogrammed of performance isolation among threads in the memory controller to enforce a quality of service in virtualized

  16. PERFORMANCE OF A SINGLE-ROW HEAT EXCHANGER AT LOW IN-TUBE FLOW RATES

    E-Print Network [OSTI]

    Sen, Mihir

    PERFORMANCE OF A SINGLE-ROW HEAT EXCHANGER AT LOW IN-TUBE FLOW RATES A Thesis Submitted April 1995 #12;PERFORMANCE OF A SINGLE-ROW HEAT EXCHANGER AT LOW IN-TUBE FLOW RATES by Xiangwei Zhao Abstract The steady and time-dependentbehavior of a single-row heat exchanger with water and air in the in

  17. Effects of row spacing on diseases, herbicide persistence, and qualitative characteristics of peanut 

    E-Print Network [OSTI]

    Besler, Brent Alan

    2005-08-29

    in twin rows to reduce diclosulam and imazapic residual concentrations was not apparent. Georgia Green and Tamrun 96 planted in twin rows at three of the four locations in 1999 and 2000 yielded higher than peanuts planted in conventional rows. Yields...

  18. CTHB Mentorship group of 2011. Back Row (left to right): Markus Wilken, Angelique du Preez, Brigitte Van Dyk, Shaun van der Walt, Ethan Besaans. Third row: Tanweer Mahomed, Danielle Roodt, Estine Theron, Wilke

    E-Print Network [OSTI]

    , Brigitte Van Dyk, Shaun van der Walt, Ethan Besaans. Third row: Tanweer Mahomed, Danielle Roodt, Estine

  19. File:UtilityROW.pdf | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New Pages RecentTempCampApplicationWorksheet 2011.pdfSD.pdf JumpUstactUtilityROW.pdf Jump to:

  20. NMSLO Application for ROW Easement | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: EnergyInformationOliver,Minnesota:EnergyNARI|Forms12State Lands | OpenROW

  1. Effects of plant density and row spacing on the ratooning of sorghum (Sorghum bicolor (L.) Moench) 

    E-Print Network [OSTI]

    Priwin A., Ricardo A

    1977-01-01

    and 296, 000 plants/ha and row widths of 101. 6 cm and 67. 7 cm. After grain harvest of the parent crop the plants were cut down to 8 cm above ground level and al- lowed to regrow. Data obtained were days to 50'4 flower, plant measurements, yield... with each population increase. Rows 67. 7 cm wide were two days earlier in reaching SOS flower and had a higher grain and stover yield. Rows -101. 6 cm wide had a higher percent of survival after cutting but rows 67. 7 cm wide gave a higher number of re...

  2. UK, Europe, & ROW (excl. Australia & Canada): USA: Australia: Direct Customer Services, Palgrave Macmillan, VHPS, Customer Services,

    E-Print Network [OSTI]

    Kallenrode, May-Britt

    UK, Europe, & ROW (excl. Australia & Canada): USA: Australia: Direct Customer Services, Palgrave migration in Europe, this book is a welcome contribution to the literature on migration." - Rhacel Parreñas

  3. Turbine Blade Row Optimization Through Endwall Contouring by an Adjoint Method

    E-Print Network [OSTI]

    Liu, Feng

    function, regardless of the number of design parameters. Flow loss through the blade row is minimized while blade at off-design conditions is also evaluated and compared with that of the original blade algorithms (GAs) [4­6] aregaining usage in practical engineering design of turbomachinery blade rows. Besides

  4. High Fidelity Modeling of Blade Row Interaction in a Transonic Compressor

    E-Print Network [OSTI]

    Cincinnati, University of

    High Fidelity Modeling of Blade Row Interaction in a Transonic Compressor Michael G. List on the compressor. Three dierent axial spacings between the rotor and the upstream blade row have been simulated of Cincinnati, Cincinnati, OH, 45221 In order to accurately model the physics associated with losses

  5. Power Handling of the Bulk Tungsten Divertor Row at JET: First Measurements and Comparison to the GTM Thermal Model

    E-Print Network [OSTI]

    Power Handling of the Bulk Tungsten Divertor Row at JET: First Measurements and Comparison to the GTM Thermal Model

  6. Effect of tillage systems, row configuration-spacing and plant population on soil physical properties, evapotranspiration and dryland sorghum yields 

    E-Print Network [OSTI]

    Salinas-Garcia, Jaime Roel

    1981-01-01

    in the convencional plots (101. 6-cm rows). The increase in yield was due primarily to the larger number of heads at harvest as compared with the conventional row-spacing. Clegg et al. (1972) observed that variation of row width can be used in greater utilization...

  7. Buildings and Energy in the 1980's (TABLES)

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

    in Residential Buildings, 1984 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand)...

  8. Buildings and Energy in the 1980's (TABLES)

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

    in Residential Buildings, 1987 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand)...

  9. Buildings and Energy in the 1980's (TABLES)

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

    1982 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand) Consump- tion...

  10. Buildings and Energy in the 1980's (TABLES)

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

    1980 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand) Consump- tion...

  11. Buildings and Energy in the 1980's (TABLES)

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

    1981 End Uses RSE Row Fac- tors All End Uses Space Heating Water Heating Air Conditioning Appliances Building Characteristics Buildings (thou- sand) Consump- tion...

  12. The Making of a Hemispheric Intellectual-Statesman: Leo S. Rowe in Argentina (1906–1919)

    E-Print Network [OSTI]

    Salvatore, Ricardo D.

    2010-01-01

    had been sent by the  Spanish government to spread the idea Spanish translation of Rowe’s book on  municipal government.    ideals  of  government.  Only that Spanish political 

  13. Row spacing effects on the canopy light extinction coefficient of upland cotton 

    E-Print Network [OSTI]

    Steglich, Evelyn Marie

    2000-01-01

    Field experiments were conducted in 1998 and 1999 at the Stiles Farm, Thrall, Texas and the Blackland Research Center, Temple, Texas, respectively, to characterize the influence of row spacing, plant density and time of day on the extinction...

  14. Self-organization of S adatoms on Au(111). ?3R30° rows at low coverage

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Walen, Holly; Liu, Da-Jiang; Oh, Junepyo; Lim, Hyunseob; Evans, J. W.; Kim, Yousoo; Thiel, P. A.

    2015-07-06

    Using scanning tunneling microscopy, we observe an adlayer structure that is dominated by short rows of S atoms, on unreconstructed regions of a Au(111) surface. This structure forms upon adsorption of low S coverage (less than 0.1 monolayer) on a fully reconstructed cleansurface at 300 K, then cooling to 5 K for observation. The rows adopt one of three orientations that are rotated by 30° from the close-packed directions of the Au(111) substrate, and adjacent S atoms in the rows are separated by ?3 times the surface lattice constant, a. Monte Carlo simulations are performed on lattice-gas models, we derivedmore »using a limited cluster expansion based on density functional theory energetics. Furthermore, models which include long-range pairwise interactions (extending to 5a), plus selected trio interactions, successfully reproduce the linear rows of S atoms at reasonable temperatures.« less

  15. Economic Implications of New Crops, Row Damming and Land Clearing in the Texas Winter Garden 

    E-Print Network [OSTI]

    Muncrief, G.E.; Lacewell, R. D.; Cornforth, G. C.; Pena, J. G.

    1983-01-01

    cotton), row damming, and conversion of range to cropland was evaluated using a regional linear programming model. Temporal analysis, 1981-2001, incorporated changes in groundwater availability, static groundwater levels, and corresponding fixed...

  16. Analysis of conventional and plutonium recycle unit-assemblies for the Yankee (Rowe) PWR

    E-Print Network [OSTI]

    Mertens, Paul Gustaaf

    1971-01-01

    An analysis and comparison of Unit Conventional UO2 Fuel-Assemblies and proposed Plutonium Recycle Fuel Assemblies for the Yankee (Rowe) Reactor has been made. The influence of spectral effects, at the watergaps -and ...

  17. A Case for Small Row Buffers in! Non-Volatile Main Memories!

    E-Print Network [OSTI]

    Mutlu, Onur

    mapping schemes! Buffering large rows is energy-inefficient! 8-cores, DDR3-1066 simulator; modified for NVM timing and energy; 31 workloads! 47/67% less main memory energy for PCM/ STT-RAM with 64B row (Relative to DRAM)! PCM! STT-RAM! Energy (Read/Write)! 2x/100x! 0.5x/1x! Latency (Read/Write)! 5x/10x! 1x/1x

  18. Effect of row spacing on yield and yield components of winter wheat cultivars 

    E-Print Network [OSTI]

    Peters, Ross Jay

    1977-01-01

    was found at McGrego~ for this trait. Culms per m were increased by 2 decreased row width at all locations and in all cultivars except 'Coker 68-15' and 'TAM N-101' at McGregor. These cultivars decreased in culm number. Five hundred seed weight... width on cereals. He noted that reducing row width generally increased yields, particularly at high population levels. While culms per unit area behaved in a similar manner, data on other yield components were inconclusive or not mentioned. Holliday...

  19. Seismic waveform classification for automatic detection and improved location of volcanic events Charlotte Rowe and Jonathan MacCarthy, Los Alamos National Laboratory, Los Alamos, New

    E-Print Network [OSTI]

    Charlotte Rowe and Jonathan MacCarthy, Los Alamos National Laboratory, Los Alamos, New Mexico, U: Dr. Charlotte Rowe EES-11, M.S. D-408 Los Alamos National Laboratory Los Alamos, new Mexico 87545 U

  20. Rate-Harmonized Scheduling for Saving Energy Anthony Rowe Karthik Lakshmanan Haifeng Zhu Ragunathan (Raj) Rajkumar

    E-Print Network [OSTI]

    Rowe, Anthony

    Rate-Harmonized Scheduling for Saving Energy Anthony Rowe Karthik Lakshmanan Haifeng Zhu Ragunathan mode, substantially more energy savings can be obtained but it requires a significant amount of time such that processor idle times are lumped together. We next introduce the Energy-Saving Rate-Harmonized Scheduler

  1. Quarter Annulus Simulations of Blade Row Interaction at Several Gaps and Discussion of

    E-Print Network [OSTI]

    Cincinnati, University of

    loaded upstream blade row and its eect on the compressor. Three dierent axial spacings between the rotor by Research Professor Mark G. Turner In order to accurately model the physics associated with losses in a transonic compressor, a time-accurate simulation of a transonic compressor rig was developed. Parameters

  2. A Model of Compressor Blade Row Interaction with Shock Induced Vortex Shedding

    E-Print Network [OSTI]

    Cincinnati, University of

    A Model of Compressor Blade Row Interaction with Shock Induced Vortex Shedding Mark G. Turner". The mid and far spacings represent typical axial gaps found in operational fans and compressors. However behind a stator are modeled. The model is based on a Burger vortex core model for shed vortices

  3. 2/15/05 Page 1 A Structural Diffusion Approach to Labeling Rows and

    E-Print Network [OSTI]

    Salamon, Peter

    digitized images of an array of tissue sections mounted on a microscope slide is discussed. Keywords: Medical Imaging, Computational Intelligence Running Title: Labeling Rows and Columns in an Irregular Array and the series of slides is subjected to a battery of treatments. The sheer volume of data generated

  4. 11/17/01 Page 1 A Structural Diffusion Approach to Labeling Rows and

    E-Print Network [OSTI]

    Salamon, Peter

    digitized images of an array of tissue sections mounted on a microscope slide is discussed. Keywords: Medical Imaging, Computational Intelligence Running Title: Labeling Rows and Columns in an Irregular Array and the series of slides is subjected to a battery of treatments. The sheer volume of data generated

  5. Visual Light Landmarks for Mobile Devices Niranjini Rajagopal, Patrick Lazik, Anthony Rowe

    E-Print Network [OSTI]

    Rowe, Anthony

    Visual Light Landmarks for Mobile Devices Niranjini Rajagopal, Patrick Lazik, Anthony Rowe}@andrew.cmu.edu Abstract--The omnipresence of indoor lighting makes it an ideal vehicle for pervasive communication lighting systems to send data to mobile devices using either cameras or light sensors. By exploiting

  6. First-row hydrides: Dissociation and ground state energies using quantum Monte Carlo

    E-Print Network [OSTI]

    Anderson, James B.

    First-row hydrides: Dissociation and ground state energies using quantum Monte Carlo Arne Lu, Pennsylvania 16802 Received 20 May 1996; accepted 24 July 1996 Accurate ground state energies comparable FN-DQMC method. The residual energy, the nodal error due to the error in the nodal structure

  7. Heat transfer from multiple row arrays of low aspect ratio pin fins Seth A. Lawson a,

    E-Print Network [OSTI]

    Thole, Karen A.

    Heat transfer from multiple row arrays of low aspect ratio pin fins Seth A. Lawson a, , Alan A 18 March 2011 Available online 5 May 2011 Keywords: Pin fins Heat transfer augmentation Array to enhance heat transfer. In modern gas turbines, for exam- ple, airfoils are designed with sophisticated

  8. "We Ain't Scared of No Mayor": LA's Skid Row Residents Fight for Their Right to the City

    E-Print Network [OSTI]

    Petit, Christine Elizabeth

    2010-01-01

    Racism on Trial: The Chicano Fight for Justice. Cambridge,Social Justice and the Fight for Public Space. New York andLA’s Skid Row Residents Fight for Their Right to the City A

  9. Data Sharing Report Characterization of Isotope Row Facilities Oak Ridge National Laboratory Oak Ridge TN

    SciTech Connect (OSTI)

    Weaver, Phyllis C

    2013-12-12

    The U.S. Department of Energy (DOE) Oak Ridge Office of Environmental Management (EM-OR) requested that Oak Ridge Associated Universities (ORAU), working under the Oak Ridge Institute for Science and Education (ORISE) contract, provide technical and independent waste management planning support using funds provided by the American Recovery and Reinvestment Act (ARRA). Specifically, DOE EM-OR requested ORAU to plan and implement a survey approach, focused on characterizing the Isotope Row Facilities located at the Oak Ridge National Laboratory (ORNL) for future determination of an appropriate disposition pathway for building debris and systems, should the buildings be demolished. The characterization effort was designed to identify and quantify radiological and chemical contamination associated with building structures and process systems. The Isotope Row Facilities discussed in this report include Bldgs. 3030, 3031, 3032, 3033, 3033A, 3034, 3036, 3093, and 3118, and are located in the northeast quadrant of the main ORNL campus area, between Hillside and Central Avenues. Construction of the isotope production facilities was initiated in the late 1940s, with the exception of Bldgs. 3033A and 3118, which were enclosed in the early 1960s. The Isotope Row facilities were intended for the purpose of light industrial use for the processing, assemblage, and storage of radionuclides used for a variety of applications (ORNL 1952 and ORAU 2013). The Isotope Row Facilities provided laboratory and support services as part of the Isotopes Production and Distribution Program until 1989 when DOE mandated their shutdown (ORNL 1990). These facilities performed diverse research and developmental experiments in support of isotopes production. As a result of the many years of operations, various projects, and final cessation of operations, production was followed by inclusion into the surveillance and maintenance (S&M) project for eventual decontamination and decommissioning (D&D). The process for D&D and final dismantlement of facilities requires that the known contaminants of concern (COCs) be evaluated and quantified and to identify and quantify any additional contaminants in order to satisfy the waste acceptance criteria requirements for the desired disposal pathway. Known facility contaminants include, but are not limited to, asbestos-containing material (ACM), radiological contaminants, and chemical contaminants including polychlorinated biphenyls (PCBs) and metals.

  10. Negative-Index Metamaterials: Second-Harmonic Generation, Manley-Rowe Relations and Parametric Amplification

    E-Print Network [OSTI]

    A. K. Popov; Vladimir M. Shalaev

    2006-01-10

    Second harmonic generation and optical parametric amplification in negative-index metamaterials (NIMs) are studied. The opposite directions of the wave vector and the Poynting vector in NIMs results in a "backward" phase-matching condition, causing significant changes in the Manley-Rowe relations and spatial distributions of the coupled field intensities. It is shown that absorption in NIMs can be compensated by backward optical parametric amplification. The possibility of distributed-feedback parametric oscillation with no cavity has been demonstrated. The feasibility of the generation of entangled pairs of left- and right-handed counter-propagating photons is discussed.

  11. 1989 CBECS EUI

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

    . Electricity Consumption and Conditional Energy Intensity for Buildings Cooled with Electricity, 1992 Building Characteristics RSE Column Factor: Total Electricity Consumption...

  12. An extracytoplasmic function sigma factor-dependent periplasmic glutathione peroxidase is involved in oxidative stress response of Shewanella oneidensis

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Dai, Jingcheng; Wei, Hehong; Tian, Chunyuan; Damron, Fredrick; Zhou, Jizhong; Qiu, Dongru

    2015-01-01

    Background: Bacteria use alternative sigma factors (?s) to regulate condition-specific gene expression for survival and Shewanella harbors multiple ECF (extracytoplasmic function) ? genes and cognate anti-sigma factor genes. Here we comparatively analyzed two of the rpoE-like operons in the strain MR-1: rpoE-rseA-rseB-rseC and rpoE2-chrR. Results: RpoE was important for bacterial growth at low and high temperatures, in the minimal medium, and high salinity. The degP/htrA orthologue, required for growth of Escherichia coli and Pseudomonas aeruginosa at high temperature, is absent in Shewanella, while the degQ gene is RpoE-regulated and is required for bacterial growth at high temperature. RpoE2 was essentialmore »for the optimal growth in oxidative stress conditions because the rpoE2 mutant was sensitive to hydrogen peroxide and paraquat. The operon encoding a ferrochelatase paralogue (HemH2) and a periplasmic glutathione peroxidase (PgpD) was identified as RpoE2-dependent. PgpD exhibited higher activities and played a more important role in the oxidative stress responses than the cytoplasmic glutathione peroxidase CgpD under tested conditions. The rpoE2-chrR operon and the identified regulon genes, including pgpD and hemH2, are coincidently absent in several psychrophilic and/or deep-sea Shewanella strains. Conclusion: In S. oneidensis MR-1, the RpoE-dependent degQ gene is required for optimal growth under high temperature. The rpoE2 and RpoE2-dependent pgpD gene encoding a periplasmic glutathione peroxidase are involved in oxidative stress responses. But rpoE2 is not required for bacterial growth at low temperature and it even affected bacterial growth under salt stress, indicating that there is a tradeoff between the salt resistance and RpoE2-mediated oxidative stress responses.« less

  13. Table HC1-9a. Housing Unit Characteristics by Northeast Census...

    Gasoline and Diesel Fuel Update (EIA)

    9a. Housing Unit Characteristics by Northeast Census Region, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE...

  14. Table HC7-6a. Home Office Equipment by Type of Rented Housing...

    Gasoline and Diesel Fuel Update (EIA)

    6a. Home Office Equipment by Type of Rented Housing Unit, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE...

  15. Formation and spread of callus tissue and tangential rows of resin ducts in Larix decidua and Picea abies following rockfall impacts

    E-Print Network [OSTI]

    Butler, David R. - Department of Geography, Texas State University

    Formation and spread of callus tissue and tangential rows of resin ducts in Larix decidua and Picea After mechanical wounding, callus tissue and tangential rows of traumatic resin ducts (TRDs) are formed extension, traumatic resin ducts. Introduction Rockfall is a common mass movement process in alpine

  16. Life history and behavioral responses to time constraints in a damselfly. by Frank Johansson and Locke Rowe

    E-Print Network [OSTI]

    Sokolowski, Marla

    Life history and behavioral responses to time constraints in a damselfly. by Frank Johansson and Locke Rowe Time constraints, imposed by seasonality, are common to life histories. Recent theory in evolutionary ecology predicts independent behavioral and life history responses to such constraints

  17. Author's personal copy Variable field-of-view machine vision based row guidance of an agricultural robot

    E-Print Network [OSTI]

    robot Jinlin Xue a , Lei Zhang b , Tony E. Grift b, a College of Engineering, Nanjing Agricultural guidance Autonomous guidance Agricultural robot Fuzzy logic control a b s t r a c t A novel variable field-of-view machine vision method was developed allowing an agricultural robot to navigate between rows in cornfields

  18. Matrix Operations Recall that an matrix A is a rectangular array of scalars arranged in rows and

    E-Print Network [OSTI]

    Lee, Carl

    Matrix Operations Recall that an matrix A is a rectangular array of scalars arranged in rows and columns: We will also denote the matrix A by . In the case we call a square matrix. If all the entries of the matrix A are zero, we call A the zero matrix and denote it by . The term matrix was first used in 1850

  19. A multivariate view of the evolution of sexual dimorphism M. J. WYMAN, J. R. STINCHCOMBE & L. ROWE

    E-Print Network [OSTI]

    Sokolowski, Marla

    A multivariate view of the evolution of sexual dimorphism M. J. WYMAN, J. R. STINCHCOMBE & L. ROWE. Widespread dimorphism, despite a shared genome, may be more readily explained by considering the multivariate. By contrast, the multivariate formulation has greater generality and more flexibility. Although the number

  20. Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil

    E-Print Network [OSTI]

    Vermont, University of

    and agriculture, including changes in carbon and nitrogen storage, trace gas emissions, quality of surface water from natural vegetation and pastures to row-crop agricultural with the potential to affect regional changed. Today, pastures and areas of natural vegetation are being converted to large-scale croplands

  1. Buildings and Energy in the 1980's

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

    Table R8.82p. Total and Average Primaary Consumption and Expenditures for All Major Energy Sources in Residential Buildings, 1982 Total Average RSE Row Fac- tors Expenditures...

  2. Buildings and Energy in the 1980's

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

    Table R8.90p. Total and Average Primary Consumption and Expenditures for All Major Energy Sources in Residential Buildings, 1990 Total Average RSE Row Fac- tors Expenditures...

  3. Buildings and Energy in the 1980's

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

    Table R8.81p. Total and Average Primary Consumption and Expenditures for All Major Energy Sources in Residential Buildings, 1981 Total Average RSE Row Fac- tors Expenditures...

  4. Buildings and Energy in the 1980's

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

    Table R8.84p. Total and Average Primary Consumption and Expenditures for All Major Energy Sources in Residential Buildings, 1984 Total Average RSE Row Fac- tors Expenditures...

  5. Conditioning analysis of incomplete Cholesky factorizations with orthogonal dropping

    SciTech Connect (OSTI)

    Napov, Artem

    2012-03-16

    The analysis of preconditioners based on incomplete Cholesky factorization in which the neglected (dropped) components are orthogonal to the approximations being kept is presented. General estimate for the condition number of the preconditioned system is given which only depends on the accuracy of individual approximations. The estimate is further improved if, for instance, only the newly computed rows of the factor are modified during each approximation step. In this latter case it is further shown to be sharp. The analysis is illustrated with some existing factorizations in the context of discretized elliptic partial differential equations.

  6. Double row loop-coil configuration for high-speed electrodynamic maglev suspension, guidance, propulsion and guideway directional switching

    DOE Patents [OSTI]

    He, Jianliang (Naperville, IL); Rote, Donald M. (Lagrange, IL)

    1996-01-01

    A stabilization and propulsion system comprising a series of loop-coils arranged in parallel rows wherein two rows combine to form one of two magnetic rails. Levitation and lateral stability are provided when the induced field in the magnetic rails interacts with the superconducting magnets mounted on the magnetic levitation vehicle. The loop-coils forming the magnetic rails have specified dimensions and a specified number of turns and by constructing differently these specifications, for one rail with respect to the other, the angle of tilt of the vehicle can be controlled during directional switching. Propulsion is provided by the interaction of a traveling magnetic wave associated with the coils forming the rails and the super conducting magnets on the vehicle.

  7. First principles investigation of the initial stage of H-induced missing-row reconstruction of Pd(110) surface

    SciTech Connect (OSTI)

    Padama, Allan Abraham B. [Department of Applied Physics, Osaka University, Suita, Osaka 565-0871 (Japan); Kasai, Hideaki, E-mail: kasai@dyn.ap.eng.osaka-u.ac.jp [Department of Applied Physics, Osaka University, Suita, Osaka 565-0871 (Japan); Center for Atomic and Molecular Technologies, Osaka University, Suita, Osaka 565-0871 (Japan)

    2014-06-28

    The pathway of H diffusion that will induce the migration of Pd atom is investigated by employing first principles calculations based on density functional theory to explain the origin of missing-row reconstruction of Pd(110).The calculated activation barrier and the H-induced reconstruction energy reveal that the long bridge-to-tetrahedral configuration is the energetically favored process for the initial stage of reconstruction phenomenon. While the H diffusion triggers the migration of Pd atom, it is the latter process that significantly contributes to the activated missing-row reconstruction of Pd(110). Nonetheless, the strong interaction between the diffusing H and the Pd atoms dictates the occurrence of reconstructed surface.

  8. Study of Row Phase Dependent Skew Quadrupole Fields in Apple-II Type EPUs at the ALS

    SciTech Connect (OSTI)

    Steier, C.; Marks, S.; Prestemon, Soren; Robin, David; Schlueter, Ross; Wolski, Andrzej

    2004-05-07

    Since about 5 years, Apple-II type Elliptically Polarizing Undulators (EPU) have been used very successfully at the ALS to generate high brightness photon beams with arbitrary polarization. However, both EPUs installed so far cause significant changes of the vertical beamsize, especially when the row phase is changed to change the polarization of the photons emitted. Detailed measurements indicate this is caused by a row phase dependent skew quadrupole term in the EPUs. Magnetic measurements revealed the same effect for the third EPU to be installed later this year. All measurements to identify and quantify the effect with beam will be presented, as well as some results of magnetic bench measurements and numeric field simulations.

  9. Double row loop-coil configuration for high-speed electrodynamic maglev suspension, guidance, propulsion and guideway directional switching

    DOE Patents [OSTI]

    He, J.; Rote, D.M.

    1996-05-21

    A stabilization and propulsion system are disclosed comprising a series of loop-coils arranged in parallel rows wherein two rows combine to form one of two magnetic rails. Levitation and lateral stability are provided when the induced field in the magnetic rails interacts with the superconducting magnets mounted on the magnetic levitation vehicle. The loop-coils forming the magnetic rails have specified dimensions and a specified number of turns and by constructing differently these specifications, for one rail with respect to the other, the angle of tilt of the vehicle can be controlled during directional switching. Propulsion is provided by the interaction of a traveling magnetic wave associated with the coils forming the rails and the superconducting magnets on the vehicle. 12 figs.

  10. Health hazard evaluation report HETA 96-0137-2607, Yankee Atomic Electric Company, Rowe, Massachusetts

    SciTech Connect (OSTI)

    Sylvain, D.C.

    1996-10-01

    In response to a request from the Health and Safety Supervisor at the Yankee Nuclear Power Station (SIC-4911), Rowe, Massachusetts, an investigation was begun into ozone (10028156) exposure during plasma arc cutting and welding. Welders had reported chest tightness, dry cough, and throat and bronchial irritation. The nuclear power station was in the process of being decommissioned, and workers were dismantling components using welding and cutting methods. Of the operations observed during the site visit, the highest ozone concentrations were generated during plasma arc cutting, followed by metal inert gas (MIG) welding and arc welding. During plasma arc cutting the average and peak concentrations exceeded the NIOSH ceiling recommended exposure limit of 0.1 part per million. The author concludes that ozone exposure during plasma arc cutting and MIG welding presented a health hazard to welders. The author recommends that improvements be made in the local exhaust ventilation, that nitrogen-dioxide levels be monitored during hot work, and that many exposed workers wear protective clothing, use ultraviolet blocking lotion, and continue the use appropriate shade of eye protection.

  11. Effect of plant populations and row spacings on plant and ear characters and grain yield of corn hybrids 

    E-Print Network [OSTI]

    Silapapun, Anek

    1976-01-01

    break- age and barren stalks increased with increase in population densities. Allessi and Power (2) also found that number of barren stalks increased and ear weight decreased with increased plant population. Bleasdale (7) proposed that if a crop...EFFECT OF PLANT POPULATIONS AND ROW SPACINGS ON PLANT AND EAR CHARACTERS AND GRAIN YIELD OF CORN HYBRIDS A Thesis by ANEK SILAPAPUN Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement...

  12. Isotopic validation for PWR actinide-only burnup credit using Yankee Rowe data

    SciTech Connect (OSTI)

    NONE

    1997-11-01

    Safety analyses of criticality control systems for transportation packages include an assumption that the spent nuclear fuel (SNF) loaded into the package is fresh or unirradiated. In other words, the spent fuel is assumed to have its original, as-manufactured U-235 isotopic content. The ``fresh fuel`` assumption is very conservative since the potential reactivity of the nuclear fuel is substantially reduced after being irradiated in the reactor core. The concept of taking credit for this reduction in nuclear fuel reactivity due to burnup of the fuel, instead of using the fresh fuel assumption in the criticality safety analysis, is referred to as ``Burnup Credit.`` Burnup credit uses the actual physical composition of the fuel and accounts for the net reduction of fissile material and the buildup of neutron absorbers in the fuel as it is irradiated. Neutron absorbers include actinides and other isotopes generated as a result of the fission process. Using only the change in actinide isotopes in the burnup credit criticality analysis is referred to as ``Actinide-Only Burnup Credit.`` The use of burnup credit in the design of criticality control systems enables more spent fuel to be placed in a package. Increased package capacity results in a reduced number of storage, shipping and disposal containers for a given number of SNF assemblies. Fewer shipments result in a lower risk of accidents associated with the handling and transportation of spent fuel, thus reducing both radiological and nonradiological risk to the public. This paper describes the modeling and the results of comparison between measured and calculated isotopic inventories for a selected number of samples taken from a Yankee Rowe spent fuel assembly.

  13. Mixed n-Step MIR Inequalities, n-Step Conic MIR Inequalities and a Polyhedral Study of Single Row Facility Layout Problem 

    E-Print Network [OSTI]

    Sanjeevi, Sujeevraja

    2012-10-19

    study of the triplet formulation for the single row facility layout problem (SRFLP). For any number of departments n, we prove that the dimension of the triplet polytope (convex hull of solutions to the triplet formulation) is n(n - 1)(n - 2)/3. We...

  14. 1989 CBECS EUI

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

    4. Electricity Consumption and Conditional Energy Intensity for Buildings Heated with Electricity, 1992 Building Characteristics RSE Column Factor: Total Electricity Consumption...

  15. 1989 CBECS EUI

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

    Season of Peak Electricity Demand, Number of Buildings and Floorspace, 1992 Building Characteristics RSE Column Factor: Number of Buildings (thousand) Total Floorspace (million...

  16. 1989 CBECS EUI

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

    9. Consumption and Gross Energy Intensity by Building Size for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: Sum of Major Fuel Consumption (trillion Btu)...

  17. 1989 CBECS EUI

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

    Energy Intensity for Sum of Major Fuels for Mercantile and Office Buildings, 1992 Building Characteristics RSE Column Factor: Sum of Major Fuel Consumption (trillion Btu) Total...

  18. 1989 CBECS EUI

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

    Energy Intensity for Sum of Major Fuels in Older Buildings by Year Constructed, 1992 Building Characteristics RSE Column Factor: Sum of Major Fuel Consumption (trillion Btu) Total...

  19. CBECS Buildings Characteristics --Revised Tables

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

    Totals and Means of Floorspace, Number of Workers, and Hours of Operation, 1995 Building Characteristics RSE Column Factor: All Buildings (thousand) Total Floorspace (million...

  20. 1989 CBECS EUI

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

    Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: Sum of Major Fuel Consumption (trillion Btu) Total...

  1. 1989 CBECS EUI

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

    Expenditures by Census Region for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: Sum of Major Fuel Expenditures (million dollars) Sum of Major Fuel...

  2. Table HC1-5a. Housing Unit Characteristics by Type of Owner...

    Gasoline and Diesel Fuel Update (EIA)

    Unit Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Owner- Occupied Units Type of...

  3. char_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    3a. Household Characteristics by Household Income, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli-...

  4. appl_household2001.pdf

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

    3a. Appliances by Household Income, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible...

  5. Table HC1-3a. Housing Unit Characteristics by Household Income...

    Gasoline and Diesel Fuel Update (EIA)

    3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line...

  6. Table HC1-7a. Housing Unit Characteristics by Four Most Populated...

    Gasoline and Diesel Fuel Update (EIA)

    Housing Unit Characteristics by Four Most Populated States, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total U.S. Four Most Populated States...

  7. 2003 Commercial Buildings Energy Consumption - What is an RSE

    Gasoline and Diesel Fuel Update (EIA)

    may or may not be statistically significant. Statistical significance is computed as: equation where S is the standard error, x1 is the first estimate, and x2 is the second...

  8. 2003 Commercial Buildings Energy Consumption - What is an RSE

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic MonthlyTechnical Information >

  9. Re: NBP RFI: CommunicationRse quirements | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested PartiesBuildingBudget ||Department ofRequest7ofPlan by StudyingConsumersRe:

  10. Human Factors @ UB Fall 2010 Human Factors

    E-Print Network [OSTI]

    Krovi, Venkat

    . Outsourcing aviation maintenance: Hu- man factors implications, specifically for communications. C. Drury, K. Guy, C. Wenner. International Journal of Aviation Psychology, 2010, 20, 124 ­ 143. #12;2 Human Factors

  11. The Transcription Factor Encyclopedia

    E-Print Network [OSTI]

    2012-01-01

    Transcription Factor Encyclopedia. Genome Biology 2012 13:Factor Encyclopedia. Gen- ome Biology 2012, 13:000. where ‘Biology 2012, 13:R24 http://genomebiology.com/2012/13/3/R24 SOFTWARE Open Access The Transcription Factor Encyclopedia

  12. Assessment of G3(MP2)//B3 theory including a pseudopotential for molecules containing first-, second-, and third-row representative elements

    SciTech Connect (OSTI)

    Rocha, Carlos Murilo Romero; Morgon, Nelson Henrique; Custodio, Rogério; Pereira, Douglas Henrique; Departamento de Ciências Exatas e Biotecnológicas, Universidade Federal do Tocantins, Campus de Gurupi, 77410-530 Gurupi, Tocantins

    2013-11-14

    G3(MP2)//B3 theory was modified to incorporate compact effective potential (CEP) pseudopotentials, providing a theoretical alternative referred to as G3(MP2)//B3-CEP for calculations involving first-, second-, and third-row representative elements. The G3/05 test set was used as a standard to evaluate the accuracy of the calculated properties. G3(MP2)//B3-CEP theory was applied to the study of 247 standard enthalpies of formation, 104 ionization energies, 63 electron affinities, 10 proton affinities, and 22 atomization energies, comprising 446 experimental energies. The mean absolute deviations compared with the experimental data for all thermochemical results presented an accuracy of 1.4 kcal mol{sup ?1} for G3(MP2)//B3 and 1.6 kcal mol{sup ?1} for G3(MP2)//B3-CEP. Approximately 75% and 70% of the calculated properties are found with accuracy between ±2 kcal mol{sup ?1} for G3(MP2)//B3 and G3(MP2)//B3-CEP, respectively. Considering a confidence interval of 95%, the results may oscillate between ±4.2 kcal mol{sup ?1} and ±4.6 kcal mol{sup ?1}, respectively. The overall statistical behavior indicates that the calculations using pseudopotential present similar behavior with the all-electron theory. Of equal importance to the accuracy is the CPU time, which was reduced by between 10% and 40%.

  13. 1989 CBECS EUI

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

    . Peak Electricity Demand Category, Number of Buildings, 1992 (Thousand) Building Characteristics RSE Column Factor: Demand- Metered Buildings 10 kW or Less 11 to 25 kW 26 to 50 kW...

  14. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Owner- Occupied Units Type of...

  15. appl_household2001.pdf

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

    6a. Appliances by Type of Rented Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit...

  16. Table HC7-5a. Home Office Equipment by Type of Owner-Occupied...

    Gasoline and Diesel Fuel Update (EIA)

    5a. Home Office Equipment by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Owner- Occupied Units Type of...

  17. homeoffice_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    3a. Home Office Equipment by Household Income, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for...

  18. Canonical factorization and diagonalization of Baxterized braid matrices: Explicit constructions and applications

    E-Print Network [OSTI]

    A. Chakrabarti

    2003-05-07

    Braid matrices $\\hat{R}(\\theta)$, corresponding to vector representations, are spectrally decomposed obtaining a ratio $f_{i}(\\theta)/f_{i}(-\\theta)$ for the coefficient of each projector $P_{i}$ appearing in the decomposition. This directly yields a factorization $(F(-\\theta))^{-1}F(\\theta)$ for the braid matrix, implying also the relation $\\hat{R}(-\\theta)\\hat{R}(\\theta)=I$.This is achieved for $GL_{q}(n),SO_{q}(2n+1),SO_{q}(2n),Sp_{q}(2n)$ for all $n$ and also for various other interesting cases including the 8-vertex matrix.We explain how the limits $\\theta \\to \\pm \\infty$ can be interpreted to provide factorizations of the standard (non-Baxterized) braid matrices. A systematic approach to diagonalization of projectors and hence of braid matrices is presented with explicit constructions for $GL_{q}(2),GL_{q}(3),SO_{q}(3),SO_{q}(4),Sp_{q}(4)$ and various other cases such as the 8-vertex one. For a specific nested sequence of projectors diagonalization is obtained for all dimensions. In each factor $F(\\theta)$ our diagonalization again factors out all dependence on the spectral parameter $\\theta$ as a diagonal matrix. The canonical property implemented in the diagonalizers is mutual orthogonality of the rows. Applications of our formalism to the construction of $L-$operators and transfer matrices are indicated. In an Appendix our type of factorization is compared to another one proposed by other authors.

  19. A second row Parking Paradox

    E-Print Network [OSTI]

    S. R. Fleurke; C. Kuelske

    2008-11-28

    We consider two variations of the discrete car parking problem where at every vertex of the integers a car arrives with rate one, now allowing for parking in two lines. a) The car parks in the first line whenever the vertex and all of its nearest neighbors are not occupied yet. It can reach the first line if it is not obstructed by cars already parked in the second line (screening). b) The car parks according to the same rules, but parking in the first line can not be obstructed by parked cars in the second line (no screening). In both models, a car that can not park in the first line will attempt to park in the second line. If it is obstructed in the second line as well, the attempt is discarded. We show that both models are solvable in terms of finite-dimensional ODEs. We compare numerically the limits of first and second line densities, with time going to infinity. While it is not surprising that model a) exhibits an increase of the density in the second line from the first line, more remarkably this is also true for model b), albeit in a less pronounced way.

  20. Katherine Rowe September 29, 2006

    E-Print Network [OSTI]

    Radcliffe, David

    . The site is over 20 years old, has not needed repaving, and has staved off sinkholes in an area prone

  1. The MX Factor

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

    MX Factor Test films played a strategic-planning role in the debates of the late 1970s and early 1980s about where and how to deploy the MX intercontinental ballistic missile...

  2. Power Factor Improvement 

    E-Print Network [OSTI]

    Viljoen, T. A.

    1979-01-01

    and disadvantages of various locations in the electrical network are described including the cost of installation and network capacity improvement. Sizing of capacitors is also covered. Finally, some case studies involving power factor improvement are presented...

  3. Reducing Power Factor Cost

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

    Before PF 100142 0.70 or 70% After PF 100105 0.95 or 95% PB References: B.C. Hydro. Power Factor. The GEM Series. October 1989. Commonwealth Sprague Capacitor, Inc....

  4. Electromagetic proton form factors

    E-Print Network [OSTI]

    M Y Hussein

    2006-10-31

    The electromagnetic form factors are crucial to our understanding of the proton internal structure, and thus provide a strong constraint of the distributions of the charge and magnetization current within the proton. We adopted the quark-parton model for calculating and understanding the charge structure of the proton interms of the electromagnetic form factors. A remarkable agreement with the available experimental evidence is found.

  5. Optimizing Power Factor Correction 

    E-Print Network [OSTI]

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

    1986-01-01

    FACTOR CORRECTION Robert K. Phillips and Louis C. Burmeister, Mechanical Engineering, University of Kansas, Lawrence, KS The optimal investment for power factor correcting capacitors for Kansas Power and Light Company large power contract customers... consumer of electricity were made for demands of 200, 400, 800, 1,600, 3,200, and 6,400 k\\~ and monthly energy consumption periods of 100, 150, 200, 300, 400, and 500 hours for several capacitor purchase and installation costs. The results...

  6. FGF growth factor analogs

    DOE Patents [OSTI]

    Zamora, Paul O. (Gaithersburg, MD); Pena, Louis A. (Poquott, NY); Lin, Xinhua (Plainview, NY); Takahashi, Kazuyuki (Germantown, MD)

    2012-07-24

    The present invention provides a fibroblast growth factor heparin-binding analog of the formula: ##STR00001## where R.sub.1, R.sub.2, R.sub.3, R.sub.4, R.sub.5, X, Y and Z are as defined, pharmaceutical compositions, coating compositions and medical devices including the fibroblast growth factor heparin-binding analog of the foregoing formula, and methods and uses thereof.

  7. Multi-factor authentication

    DOE Patents [OSTI]

    Hamlet, Jason R; Pierson, Lyndon G

    2014-10-21

    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.

  8. Geothermal Plant Capacity Factors

    SciTech Connect (OSTI)

    Greg Mines; Jay Nathwani; Christopher Richard; Hillary Hanson; Rachel Wood

    2015-01-01

    The capacity factors recently provided by the Energy Information Administration (EIA) indicated this plant performance metric had declined for geothermal power plants since 2008. Though capacity factor is a term commonly used by geothermal stakeholders to express the ability of a plant to produce power, it is a term frequently misunderstood and in some instances incorrectly used. In this paper we discuss how this capacity factor is defined and utilized by the EIA, including discussion on the information that the EIA requests from operations in their 923 and 860 forms that are submitted both monthly and annually by geothermal operators. A discussion is also provided regarding the entities utilizing the information in the EIA reports, and how those entities can misinterpret the data being supplied by the operators. The intent of the paper is to inform the facility operators as the importance of the accuracy of the data that they provide, and the implications of not providing the correct information.

  9. Fast Factoring of Integers

    E-Print Network [OSTI]

    Gordon Chalmers

    2005-09-20

    An algorithm is given to factor an integer with $N$ digits in $\\ln^m N$ steps, with $m$ approximately 4 or 5. Textbook quadratic sieve methods are exponentially slower. An improvement with the aid of an a particular function would provide a further exponential speedup.

  10. Matrix Factorization and Matrix Concentration

    E-Print Network [OSTI]

    Mackey, Lester

    2012-01-01

    PCA 3 Mixed Membership Matrix Factorization 3.15.2 Matrix concentration3.3 Mixed Membership Matrix Factorization . . . 3.4

  11. Deuteron Form Factor

    SciTech Connect (OSTI)

    Farrar, G.R.; Huleihel, K.; Zhang, H. (Department of Physics and Astronomy, Rutgers University, Piscataway, New Jersey 08855 (United States))

    1995-01-30

    We obtain the perturbative QCD (PQCD) prediction for the leading twist deuteron form factor, treated as a pair of nucleons in nonrelativistic bound state. It is [lt]10[sup [minus]3] times experiment at [ital Q][sup 2]=4 GeV[sup 2], suggesting that PQCD is not relevant to the deuteron form factor at present values of [ital Q][sup 2], or that non-nucleon (e.g., hidden color'') degrees of freedom must be included for a correct description of the deuteron. The tree-level amplitude [similar to][ital eg][sup 10] and is the sum of several 10[sup 6] Feynman diagrams, making it an interesting case study in the behavior of perturbation theory.

  12. Journal Information Journal Impact Factor

    E-Print Network [OSTI]

    Krejcí, Pavel

    Journal Information Journal Impact Factor 5-Year Journal Impact Factor Journal Self Cites Journal Immediacy Index Journal Cited Half-Life 2014 JCR Science Edition Journal: CZECHOSLOVAK MATHEMATICAL JOURNAL Mark Journal Title ISSN Total Cites Impact Factor 5-Year Impact Factor Immediacy Index Citable Items

  13. Journal Information Journal Impact Factor

    E-Print Network [OSTI]

    Krejcí, Pavel

    Journal Information Journal Impact Factor 5-Year Journal Impact Factor Journal Self Cites Journal Immediacy Index Journal Cited Half-Life 2012 JCR Science Edition Journal: CZECHOSLOVAK MATHEMATICAL JOURNAL Mark Journal Title ISSN Total Cites Impact Factor 5-Year Impact Factor Immediacy Index Citable Items

  14. Tiled QR factorization algorithms

    E-Print Network [OSTI]

    Bouwmeester, Henricus; Langou, Julien; Robert, Yves

    2011-01-01

    This work revisits existing algorithms for the QR factorization of rectangular matrices composed of p-by-q tiles, where p >= q. Within this framework, we study the critical paths and performance of algorithms such as Sameh and Kuck, Modi and Clarke, Greedy, and those found within PLASMA. Although neither Modi and Clarke nor Greedy is optimal, both are shown to be asymptotically optimal for all matrices of size p = q^2 f(q), where f is any function such that \\lim_{+\\infty} f= 0. This novel and important complexity result applies to all matrices where p and q are proportional, p = \\lambda q, with \\lambda >= 1, thereby encompassing many important situations in practice (least squares). We provide an extensive set of experiments that show the superiority of the new algorithms for tall matrices.

  15. Electrical and Production Load Factors 

    E-Print Network [OSTI]

    Sen, T.; Heffington, W. M.

    2009-01-01

    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... The purpose of this paper is to analyze operating hours of small and medium-sized manufacturing plants in the United States and develop ranges of load factors for use as diagnostic tools for effective energy management. Load factor is defined...

  16. RSE Table 1.1 Relative Standard Errors for Table 1.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.25061

  17. RSE Table 1.2 Relative Standard Errors for Table 1.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.250612

  18. RSE Table 10.10 Relative Standard Errors for Table 10.10

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.2506120

  19. RSE Table 10.11 Relative Standard Errors for Table 10.11

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.25061201

  20. RSE Table 10.12 Relative Standard Errors for Table 10.12

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.250612012

  1. RSE Table 10.13 Relative Standard Errors for Table 10.13

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9 54,959.2506120123

  2. RSE Table 2.1 Relative Standard Errors for Table 2.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9

  3. RSE Table 3.1 Relative Standard Errors for Table 3.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative Standard

  4. RSE Table 3.2 Relative Standard Errors for Table 3.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative Standard2

  5. RSE Table 3.5 Relative Standard Errors for Table 3.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative

  6. RSE Table 4.1 Relative Standard Errors for Table 4.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1 Relative

  7. RSE Table 4.2 Relative Standard Errors for Table 4.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1

  8. RSE Table 5.1 Relative Standard Errors for Table 5.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative11

  9. RSE Table 5.2 Relative Standard Errors for Table 5.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative112

  10. RSE Table 5.4 Relative Standard Errors for Table 5.4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1124

  11. RSE Table 5.5 Relative Standard Errors for Table 5.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative11245

  12. RSE Table 5.6 Relative Standard Errors for Table 5.6

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative112456

  13. RSE Table 5.7 Relative Standard Errors for Table 5.7

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1124567

  14. RSE Table 5.8 Relative Standard Errors for Table 5.8

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative11245678

  15. RSE Table 7.10 Relative Standard Errors for Table 7.10

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative112456780

  16. RSE Table 7.3 Relative Standard Errors for Table 7.3

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91 Relative1124567803

  17. RSE Table 7.4 Relative Standard Errors for Table 7.4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.91

  18. RSE Table 7.5 Relative Standard Errors for Table 7.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative Standard

  19. RSE Table 7.6 Relative Standard Errors for Table 7.6

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative

  20. RSE Table 7.7 Relative Standard Errors for Table 7.7

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative7

  1. RSE Table 7.9 Relative Standard Errors for Table 7.9

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative79

  2. RSE Table 8.2 Relative Standard Errors for Table 8.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative792

  3. RSE Pulp & Chemical, LLC (Subsidiary of Red Shield Environmental, LLC) |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURINGEnergy BillsNo. 195 - Oct. 7, 2011REMSView ValidationRESRAD-BIOTAProposedDepartment

  4. TMD theory, factorization and evolution

    E-Print Network [OSTI]

    John Collins

    2013-07-10

    The concepts and methods of factorization using transverse-momentum-dependent (TMD) parton densities and/or fragmentation functions are summarized.

  5. Filling factors and Braid group

    E-Print Network [OSTI]

    Wellington Cruz

    1998-02-25

    We extract the Braid group structure of a recently derived hierarchy scheme for the filling factors proposed by us which related the Hausdorff dimension, $h$, to statistics, $\

  6. Journal Information Journal Impact Factor

    E-Print Network [OSTI]

    Krejcí, Pavel

    Journal Information Journal Impact Factor 5-Year Journal Impact Factor Journal Self Cites Journal Immediacy Index 2014 JCR Science Edition Journal: Applications of Mathematics Mark Journal Title ISSN Total- life APPL MATH-CZECH 0862-7940 241 0.400 0.430 0.024 42 8.9 >10.0 Cited Journal Citing Journal Source

  7. Journal Information Journal Impact Factor

    E-Print Network [OSTI]

    Krejcí, Pavel

    Journal Information Journal Impact Factor 5-Year Journal Impact Factor Journal Self Cites Journal Immediacy Index 2012 JCR Science Edition Journal: Applications of Mathematics Mark Journal Title ISSN Total- life APPL MATH-CZECH 0862-7940 240 0.222 0.549 0.054 37 7.3 >10.0 Cited Journal Citing Journal Source

  8. Electrical and Production Load Factors 

    E-Print Network [OSTI]

    Sen, Tapajyoti

    2010-07-14

    Load factors are an important simplification of electrical energy use data and depend on the ratio of average demand to peak demand. Based on operating hours of a facility they serve as an important benchmarking tool for the industrial sector...

  9. Efficient Networks for Quantum Factoring

    E-Print Network [OSTI]

    David Beckman; Amalavoyal N. Chari; Srikrishna Devabhaktuni; John Preskill

    1996-02-21

    We consider how to optimize memory use and computation time in operating a quantum computer. In particular, we estimate the number of memory qubits and the number of operations required to perform factorization, using the algorithm suggested by Shor. A $K$-bit number can be factored in time of order $K^3$ using a machine capable of storing $5K+1$ qubits. Evaluation of the modular exponential function (the bottleneck of Shor's algorithm) could be achieved with about $72 K^3$ elementary quantum gates; implementation using a linear ion trap would require about $396 K^3$ laser pulses. A proof-of-principle demonstration of quantum factoring (factorization of 15) could be performed with only 6 trapped ions and 38 laser pulses. Though the ion trap may never be a useful computer, it will be a powerful device for exploring experimentally the properties of entangled quantum states.

  10. Human Factors of Reporting Systems

    E-Print Network [OSTI]

    Johnson, C.W.

    Johnson,C.W. P. Carayon (ed.), A Handbook of Human Factors and Ergonomics in Healthcare and Patient Safety, Lawrence Erlbaum, London, UK. pp 715-750 Lawrence Erlbaum Associates

  11. Gas turbine row #1 steam cooled vane

    DOE Patents [OSTI]

    Cunha, Frank J. (Longwood, FL)

    2000-01-01

    A design for a vane segment having a closed-loop steam cooling system is provided. The vane segment comprises an outer shroud, an inner shroud and an airfoil, each component having a target surface on the inside surface of its walls. A plurality of rectangular waffle structures are provided on the target surface to enhance heat transfer between each component and cooling steam. Channel systems are provided in the shrouds to improve the flow of steam through the shrouds. Insert legs located in cavities in the airfoil are also provided. Each insert leg comprises outer channels located on a perimeter of the leg, each outer channel having an outer wall and impingement holes on the outer wall for producing impingement jets of cooling steam to contact the airfoil's target surface. Each insert leg further comprises a plurality of substantially rectangular-shaped ribs located on the outer wall and a plurality of openings located between outer channels of the leg to minimize cross flow degradation.

  12. All row, planar fault detection system

    DOE Patents [OSTI]

    Archer, Charles Jens; Pinnow, Kurt Walter; Ratterman, Joseph D; Smith, Brian Edward

    2013-07-23

    An apparatus, program product and method for detecting nodal faults may simultaneously cause designated nodes of a cell to communicate with all nodes adjacent to each of the designated nodes. Furthermore, all nodes along the axes of the designated nodes are made to communicate with their adjacent nodes, and the communications are analyzed to determine if a node or connection is faulty.

  13. Variable Row Spacing of Irrigated Cotton. 

    E-Print Network [OSTI]

    Longenecker, D. E.; Thaxton, E. L. Jr.; Hefner, J. J.; Lyerly, P. J.

    1970-01-01

    Rotavirus NSP4, the first described viral enterotoxin, localizes to the plasma membrane of infected cells, possibly through interaction with caveolin-1. A direct interaction between NSP4 and caveolin-1, the structural ...

  14. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of34 End3.

  15. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of34 End3.7

  16. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of34 End3.78

  17. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of34

  18. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of348 End

  19. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of348 End7

  20. " Row: End Uses;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of348 End78

  1. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212. Number of

  2. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212. Number of2.1.

  3. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212. Number

  4. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212. Number1

  5. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212. Number13

  6. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212. Number139.1

  7. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212.

  8. " Row: NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612.9 Number of2468143

  9. Update rows? | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowa (Utility Company) JumpGTZ ClimateFeed JumpAlbertaUniversity

  10. Human factors in software development

    SciTech Connect (OSTI)

    Curtis, B.

    1986-01-01

    This book presents an overview of ergonomics/human factors in software development, recent research, and classic papers. Articles are drawn from the following areas of psychological research on programming: cognitive ergonomics, cognitive psychology, and psycholinguistics. Topics examined include: theoretical models of how programmers solve technical problems, the characteristics of programming languages, specification formats in behavioral research and psychological aspects of fault diagnosis.

  11. Nonnegative matrix factorization with -divergence

    E-Print Network [OSTI]

    Cichocki, Andrzej

    Nonnegative matrix factorization with -divergence Andrzej Cichocki a , Hyekyoung Lee b , Yong of Science and Technology San 31 Hyoja-dong, Nam-gu, Pohang 790-784, Korea Abstract Nonnegative matrix reduction, the goal of which is to decompose nonnegative data matrix X into a product of basis matrix

  12. Transfer Factors for Contaminant Uptake

    E-Print Network [OSTI]

    of supply, upon written request as follows: Address: U.S. Nuclear Regulatory Commission OfficeTransfer Factors for Contaminant Uptake by Fruit and Nut Trees Office of Nuclear Regulatory; licensee event reports; and Commission papers and their attachments. NRC publications in the NUREG series

  13. Optimization Online - Integer Factorization is in P

    E-Print Network [OSTI]

    Yuly Shipilevsky

    2012-08-31

    Aug 31, 2012 ... Integer Factorization is in P. Yuly Shipilevsky (yulysh2000 ***at*** yahoo.ca). Abstract: A polynomial-time algorithm for integer factorization, ...

  14. On Factorization of Molecular Wavefunctions

    E-Print Network [OSTI]

    Thierry Jecko; Brian T. Sutcliffe; R. Guy Woolley

    2015-07-18

    Recently there has been a renewed interest in the chemical physics literature of factorization of the position representation eigenfunctions \\{$\\Phi$\\} of the molecular Schr\\"odinger equation as originally proposed by Hunter in the 1970s. The idea is to represent $\\Phi$ in the form $\\varphi\\chi$ where $\\chi$ is \\textit{purely} a function of the nuclear coordinates, while $\\varphi$ must depend on both electron and nuclear position variables in the problem. This is a generalization of the approximate factorization originally proposed by Born and Oppenheimer, the hope being that an `exact' representation of $\\Phi$ can be achieved in this form with $\\varphi$ and $\\chi$ interpretable as `electronic' and `nuclear' wavefunctions respectively. We offer a mathematical analysis of these proposals that identifies ambiguities stemming mainly from the singularities in the Coulomb potential energy.

  15. On Factorization of Molecular Wavefunctions

    E-Print Network [OSTI]

    Thierry Jecko; Brian T. Sutcliffe; R. Guy Woolley

    2015-09-05

    Recently there has been a renewed interest in the chemical physics literature of factorization of the position representation eigenfunctions \\{$\\Phi$\\} of the molecular Schr\\"odinger equation as originally proposed by Hunter in the 1970s. The idea is to represent $\\Phi$ in the form $\\varphi\\chi$ where $\\chi$ is \\textit{purely} a function of the nuclear coordinates, while $\\varphi$ must depend on both electron and nuclear position variables in the problem. This is a generalization of the approximate factorization originally proposed by Born and Oppenheimer, the hope being that an `exact' representation of $\\Phi$ can be achieved in this form with $\\varphi$ and $\\chi$ interpretable as `electronic' and `nuclear' wavefunctions respectively. We offer a mathematical analysis of these proposals that identifies ambiguities stemming mainly from the singularities in the Coulomb potential energy.

  16. On Factorization of Molecular Wavefunctions

    E-Print Network [OSTI]

    Thierry Jecko; Brian T. Sutcliffe; R. Guy Woolley

    2015-10-13

    Recently there has been a renewed interest in the chemical physics literature of factorization of the position representation eigenfunctions \\{$\\Phi$\\} of the molecular Schr\\"odinger equation as originally proposed by Hunter in the 1970s. The idea is to represent $\\Phi$ in the form $\\varphi\\chi$ where $\\chi$ is \\textit{purely} a function of the nuclear coordinates, while $\\varphi$ must depend on both electron and nuclear position variables in the problem. This is a generalization of the approximate factorization originally proposed by Born and Oppenheimer, the hope being that an `exact' representation of $\\Phi$ can be achieved in this form with $\\varphi$ and $\\chi$ interpretable as `electronic' and `nuclear' wavefunctions respectively. We offer a mathematical analysis of these proposals that identifies ambiguities stemming mainly from the singularities in the Coulomb potential energy.

  17. Factors Impacting Decommissioning Costs - 13576

    SciTech Connect (OSTI)

    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)

    2013-07-01

    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)

  18. Human factors in waste management

    SciTech Connect (OSTI)

    Moray, N.

    1994-10-01

    This article examines the role of human factors in radioactive waste management. Although few problems and ergonomics are special to radioactive waste management, some problems are unique especially with long term storage. The entire sociotechnical system must be looked at in order to see where improvement can take place because operator errors, as seen in Chernobyl and Bhopal, are ultimately the result of management errors.

  19. Hausdorff dimension and filling factor

    E-Print Network [OSTI]

    Wellington Cruz

    1998-02-25

    We propose a new hierarchy scheme for the filling factor, a parameter which characterizes the occurrence of the Fractional Quantum Hall Effect (FQHE). We consider the Hausdorff dimension, $h$, as a parameter for classifying fractional spin particles, such that, it is written in terms of the statistics of the collective excitations. The number $h$ classifies these excitations with different statistics in terms of its homotopy class.

  20. Dissecting Soft Radiation with Factorization

    E-Print Network [OSTI]

    Iain W. Stewart; Frank J. Tackmann; Wouter J. Waalewijn

    2015-02-10

    An essential part of high-energy hadronic collisions is the soft hadronic activity that underlies the primary hard interaction. It includes soft radiation from the primary hard partons, secondary multiple parton interactions (MPI), and factorization-violating effects. The invariant mass spectrum of the leading jet in $Z$+jet and $H$+jet events is directly sensitive to these effects, and we use a QCD factorization theorem to predict its dependence on the jet radius $R$, jet $p_T$, jet rapidity, and partonic process for both the perturbative and nonperturbative components of primary soft radiation. We prove that the nonperturbative contributions involve only odd powers of $R$, and the linear $R$ term is universal for quark and gluon jets. The hadronization model in PYTHIA8 agrees well with these properties. The perturbative soft initial state radiation (ISR) has a contribution that depends on the jet area in the same way as the underlying event, but this degeneracy is broken by dependence on the jet $p_T$. The size of this soft ISR contribution is proportional to the color state of the initial partons, yielding the same positive contribution for $gg\\to Hg$ and $gq\\to Zq$, but a negative interference contribution for $q\\bar q\\to Z g$. Hence, measuring these dependencies allows one to separate hadronization, soft ISR, and MPI contributions in the data.

  1. Capacity Factor Risk At Nuclear Power Plants

    E-Print Network [OSTI]

    Du, Yangbo

    We develop a model of the dynamic structure of capacity factor risk. It incorporates the risk that the capacity factor may vary widely from year-to-year, and also the risk that the reactor may be permanently shutdown prior ...

  2. Cone Penetrometer N Factor Determination Testing Results

    SciTech Connect (OSTI)

    Follett, Jordan R.

    2014-03-05

    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.

  3. Common risk factors in bank stocks 

    E-Print Network [OSTI]

    Viale, Ariel Marcelo

    2007-09-17

    This dissertation provides evidence on the risk factors that are priced in bank equities. Alternative empirical models with precedent in the nonfinancial asset pricing literature are tested, including the single-factor Capital Asset Pricing Model...

  4. Industrial Equipment Demand and Duty Factors 

    E-Print Network [OSTI]

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

    1998-01-01

    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 ...

  5. Guidelines for Power Factor Improvement Projects 

    E-Print Network [OSTI]

    Massey, G. W.

    1999-01-01

    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...

  6. Closing a Loophole in Factorization Proofs

    SciTech Connect (OSTI)

    Bodwin, Geoffrey T. [HEP Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, Illinois, 60439 (United States); Garcia i Tormo, Xavier [HEP Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, Illinois, 60439 (United States); Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2G7 (Canada); Lee, Jungil [Department of Physics, Korea University, Seoul 136-701 (Korea, Republic of)

    2011-05-23

    We address the possibility in factorization proofs that low-energy collinear gluons can couple to soft gluons.

  7. DOE Tour of Zero: Row Homes at Perrin's Row by New Town Builders |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i pStateDOE FederalTheof Energy2,408-square-foot

  8. DOE Tour of Zero: Row Homes at Perrin's Row by New Town Builders |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment of Energy Facilities By E-mail:Carly Wilkins(PartCalifornia

  9. http://erg.sagepub.com/ Factors Applications

    E-Print Network [OSTI]

    Kaber, David B.

    http://erg.sagepub.com/ Factors Applications Ergonomics in Design: The Quarterly of Human httpErgonomics in Design: The Quarterly of Human Factors Applications Peter A. Hancock, Richard J. Jagacinski: Human Factors and Ergonomics Society can be found at:Ergonomics in Design: The Quarterly of Human

  10. Human factors: a necessary tool for industry

    SciTech Connect (OSTI)

    Starcher, K.O.

    1984-03-09

    The need for human factors (ergonomics) input in the layout of a ferroelectric ceramics laboratory is presented as an example of the overall need for human factors professionals in industry. However, even in the absence of one trained in human factors, knowledge of a few principles in ergonomics will provide many possibilities for improving performance in the industrial environment.

  11. Note on Integer Factoring Algorithms II

    E-Print Network [OSTI]

    N. A. Carella

    2007-02-08

    This note introduces a new class of integer factoring algorithms. Two versions of this method will be described, deterministic and probabilistic. These algorithms are practical, and can factor large classes of balanced integers N = pq, p < q < 2p in superpolynomial time. Further, an extension of the Fermat factoring method is proposed.

  12. Journal influence factors6 Massimo Franceschet

    E-Print Network [OSTI]

    Franceschet, Massimo

    Journal influence factors6 Massimo Franceschet Department of Mathematics and Computer Science of journal influence, namely 2- year impact factor, 5-year impact factor, eigenfactor and article influence. These indicators have been recently added by Thomson Reuters to the Journal Citation Reports, in both science

  13. Antenna factorization in strongly ordered limits

    SciTech Connect (OSTI)

    Kosower, David A.

    2005-02-15

    When energies or angles of gluons emitted in a gauge-theory process are small and strongly ordered, the emission factorizes in a simple way to all orders in perturbation theory. I show how to unify the various strongly ordered soft, mixed soft-collinear, and collinear limits using antenna factorization amplitudes, which are generalizations of the Catani-Seymour dipole factorization function.

  14. Factors fragmenting the Russian Federation

    SciTech Connect (OSTI)

    Brown, E.

    1993-10-06

    This paper examines the factors that threaten the future of the Russian Federation (RF). The observations are based on a study that focused on eight republics: Mordova, Udmurtia, Tatarstan, Mari El, Bashkortostan, Kabardino-Balkaria, Buryatia, and Altay Republic. These republics were selected for their geographic and economic significance to the RF. Tatarstan, Bashkortostan, Udmurtia, and Mari El are located on important supply routes, such as the Volga River and the trans-Siberian railroad. Some of these republics are relatively wealthy, with natural resources such as oil (e.g., Tatarstan and Bashkortostan), and all eight republics play significant roles in the military-industrial complex. The importance of these republics to the RF contrasts to the relative insignificance of the independence-minded Northern Caucasus area. The author chose not to examine the Northern Caucasus region (except Kabardino-Balkaria) because these republics may have only a minor impact on the rest of the RF if they secede. Their impact would be minimized because they lie on the frontiers of the RF. Many Russians believe that {open_quotes}it might be best to let such a troublesome area secede.{close_quotes}

  15. "RSE Table C1.1. Relative Standard Errors for Table C1.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0 DETAILED3.491.13.1.

  16. "RSE Table C10.1. Relative Standard Errors for Table C10.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0 DETAILED3.491.13.1.1.

  17. "RSE Table C10.2. Relative Standard Errors for Table C10.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0 DETAILED3.491.13.1.1.2.

  18. "RSE Table C10.3. Relative Standard Errors for Table C10.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0 DETAILED3.491.13.1.1.2.3.

  19. "RSE Table C11.3. Relative Standard Errors for Table C11.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"0

  20. "RSE Table C12.1. Relative Standard Errors for Table C12.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1. Relative Standard

  1. "RSE Table C2.1. Relative Standard Errors for Table C2.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1. Relative

  2. "RSE Table C3.1. Relative Standard Errors for Table C3.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1. RelativeC3.1.

  3. "RSE Table C4.1. Relative Standard Errors for Table C4.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1. RelativeC3.1.C4.1.

  4. "RSE Table C9.1. Relative Standard Errors for Table C9.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1.

  5. "RSE Table E1.1. Relative Standard Errors for Table E1.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1. Relative Standard

  6. "RSE Table E13.1. Relative Standard Errors for Table E13.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1. Relative

  7. "RSE Table E13.2. Relative Standard Errors for Table E13.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1. Relative2.

  8. "RSE Table E13.3. Relative Standard Errors for Table E13.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1. Relative2.3.

  9. "RSE Table E2.1. Relative Standard Errors for Table E2.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1. Relative2.3.E2.1.

  10. "RSE Table E7.1. Relative Standard Errors for Table E7.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.

  11. "RSE Table E7.2. Relative Standard Errors for Table E7.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2. Relative

  12. "RSE Table N1.3. Relative Standard Errors for Table N1.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2. Relative.3.

  13. "RSE Table N11.1. Relative Standard Errors for Table N11.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2. Relative.3.1.

  14. "RSE Table N11.2. Relative Standard Errors for Table N11.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2. Relative.3.1.2.

  15. "RSE Table N11.3. Relative Standard Errors for Table N11.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.

  16. "RSE Table N11.4. Relative Standard Errors for Table N11.4;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4. Relative

  17. "RSE Table N13.1. Relative Standard Errors for Table N13.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4. Relative1.

  18. "RSE Table N13.3. Relative Standard Errors for Table N13.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4. Relative1.3.

  19. "RSE Table N5.1. Relative Standard Errors for Table N5.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4. Relative1.3.1.

  20. "RSE Table N5.2. Relative Standard Errors for Table N5.2;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4.

  1. "RSE Table N7.1. Relative Standard Errors for Table N7.1;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4.N7.1. Relative

  2. "RSE Table N8.3. Relative Standard Errors for Table N8.3;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2Residential"02.1..1.2.4.N7.1.

  3. Synthetic heparin-binding growth factor analogs

    DOE Patents [OSTI]

    Pena, Louis A.; Zamora, Paul; Lin, Xinhua; Glass, John D.

    2007-01-23

    The invention provides synthetic heparin-binding growth factor analogs having at least one peptide chain that binds a heparin-binding growth factor receptor, covalently bound to a hydrophobic linker, which is in turn covalently bound to a non-signaling peptide that includes a heparin-binding domain. The synthetic heparin-binding growth factor analogs are useful as soluble biologics or as surface coatings for medical devices.

  4. Lower bounds for approximate factorizations via semidefinite ...

    E-Print Network [OSTI]

    ABSTRACT The problem of approximately factoring a real or complex multivariate polynomial f seeks minimal perturbations ? f to the coefficients of the input ...

  5. Industrial Power Factor Analysis Guidebook. Electrotek Concepts...

    Office of Scientific and Technical Information (OSTI)

    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...

  6. Emerging alternatives to the impact factor

    E-Print Network [OSTI]

    Banks, Marcus A.; Dellavalle, Robert

    2008-01-01

    abs/0709.0896. 12. Public Library of Science Medicineimpact factor game,” Public Library of Science Medicine Voljournals published by the Public Library of Science, follows

  7. Tetrahydroquinoline Derivatives as Potent and Selective Factor...

    Office of Scientific and Technical Information (OSTI)

    Derivatives as Potent and Selective Factor XIa Inhibitors Authors: Quan, Mimi L. ; Wong, Pancras C. ; Wang, Cailan ; Woerner, Francis ; Smallheer, Joanne M. ; Barbera, Frank...

  8. CONTROL OF MECHANICALLY ACTIVATED POLYMERSOME FUSION: FACTORS...

    Office of Scientific and Technical Information (OSTI)

    MECHANICALLY ACTIVATED POLYMERSOME FUSION: FACTORS AFFECTING FUSION. Henderson, Ian M.; Paxton, Walter F Abstract not provided. Sandia National Laboratories (SNL-NM), Albuquerque,...

  9. Factorization for hadronic heavy quarkonium production

    E-Print Network [OSTI]

    Jian-Wei Qiu

    2006-10-31

    We briefly review several models of heavy quarkonium production in hadronic collisions, and discuss the status of QCD factorization for these production models.

  10. CONTROL OF MECHANICALLY ACTIVATED POLYMERSOME FUSION: FACTORS...

    Office of Scientific and Technical Information (OSTI)

    CONTROL OF MECHANICALLY ACTIVATED POLYMERSOME FUSION: FACTORS AFFECTING FUSION. Citation Details In-Document Search Title: CONTROL OF MECHANICALLY ACTIVATED POLYMERSOME FUSION:...

  11. Timed Nuclear Import of a Transcription Factor During Erythropoiesis Erythroid Krppel-like factor (EKLF) is an erythroid transcription factor

    E-Print Network [OSTI]

    Chen, Sheng-Wei

    Timed Nuclear Import of a Transcription Factor During Erythropoiesis Erythroid Krüppel-like factor. The regulatory mechanisms of the nuclear transport of EKLF during erythroid differentiation have remained unclear provided essential new insights into this process. They show that nuclear import of EKLF in erythroid cells

  12. Factors Affecting PMU Installation Costs (October 2014) | Department...

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

    Factors Affecting PMU Installation Costs (October 2014) Factors Affecting PMU Installation Costs (October 2014) The Department of Energy investigated the major cost factors that...

  13. Psychology 4330, Spring 2011. Human Factors Engineering

    E-Print Network [OSTI]

    Sanders, Matthew

    with an interest in design should remember that it is not really possible to teach ergonomic design per se without: Guastello, S. J. (2006). Human factors engineering and ergonomics: A systems approach. Mahwah, NJ: Lawrence/19 Introduction to human factors (T1) 1/24 Usability evaluation methods (T2) 1/31 Systems that change over time (T

  14. Photon impact factor in the NLO

    SciTech Connect (OSTI)

    Balitsky, Ian [JLAB

    2013-04-01

    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.

  15. Gauss Sum Factorization with Cold Atoms

    SciTech Connect (OSTI)

    Gilowski, M.; Wendrich, T.; Mueller, T.; Ertmer, W.; Rasel, E. M. [Institut fuer Quantenoptik, Leibniz Universitaet Hannover, Welfengarten 1, D-30167 Hannover (Germany); Jentsch, Ch. [Astrium GmbH-Satellites, 88039 Friedrichshafen (Germany); Schleich, W. P. [Institut fuer Quantenphysik, Universitaet Ulm, Albert-Einstein-Allee 11, D-89081 Ulm (Germany)

    2008-01-25

    We report the first implementation of a Gauss sum factorization algorithm by an internal state Ramsey interferometer using cold atoms. A sequence of appropriately designed light pulses interacts with an ensemble of cold rubidium atoms. The final population in the involved atomic levels determines a Gauss sum. With this technique we factor the number N=263193.

  16. Platelet-derived growth factor and transforming growth factor beta synergistically potentiate inflammatory mediator synthesis by fibroblast-like synoviocytes

    E-Print Network [OSTI]

    Rosengren, Sanna; Corr, Maripat; Boyle, David L

    2010-01-01

    et al. , Platelet-derived growth factor and transformingactivated by platelet-derived growth factor. Clin Expmesylate inhibits platelet derived growth factor stimulated

  17. Effects of friction factor and slip factor on the performance of a centrifugal slurry pump 

    E-Print Network [OSTI]

    Sheth, Ketankumar Kantilal

    1985-01-01

    EFFECTS OF FRICTION FACTOR AND SLIP FACTOR ON THE PERFORMANCE OF A CENTRIFUGAL SLURRY PUMP A Thesis by KETANKUMAR KANTILAL SHETH Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE August 1985 Ma]or Sub]ect: Mechanical Engineering EFFECTS OF FRICTION FACTOR AND SLIP FACTOR ON THE PERFORMANCE OF A CENTRIFUGAL SLURRY PUMP A Thesis by KETANKUMAR KANTILAL SHETH Approved as to style and content by...

  18. Synthetic heparin-binding factor analogs

    DOE Patents [OSTI]

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

    2010-04-20

    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.

  19. Chiral solitons in nuclei: Electromagnetic form factors

    E-Print Network [OSTI]

    Jason R. Smith; Gerald A. Miller

    2004-09-08

    We calculate the electromagnetic form factors of a bound proton. The Chiral Quark-Soliton model provides the quark and antiquark substructure of the proton, which is embedded in nuclear matter. This procedure yields significant modifications of the form factors in the nuclear environment. The sea quarks are almost completely unaffected, and serve to mitigate the valence quark effect. In particular, the ratio of the isoscalar electric to the isovector magnetic form factor decreases by 20% at Q^2=1 GeV^2 at nuclear density, and we do not see a strong enhancement of the magnetic moment.

  20. Factors and Feeds for Supplementing Beef Cows 

    E-Print Network [OSTI]

    Hammack, Stephen P.; Gill, Ronald J.

    2000-05-03

    A beef cow requires energy, protein, minerals and vitamins in its diet. Many factors, including forage quantity and quality and animal body condition, affect the amounts of required nutrients....

  1. Parametrizing Compton form factors with neural networks

    E-Print Network [OSTI]

    Kresimir Kumericki; Dieter Mueller; Andreas Schafer

    2011-12-08

    We describe a method, based on neural networks, of revealing Compton form factors in the deeply virtual region. We compare this approach to standard least-squares model fitting both for a simplified toy case and for HERMES data.

  2. Carbon Dioxide Emission Factors for Coal

    Reports and Publications (EIA)

    1994-01-01

    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.

  3. Factors favorable to public participation success

    SciTech Connect (OSTI)

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

    1996-05-01

    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.

  4. Factors Involved in Search Dog Training 

    E-Print Network [OSTI]

    Alexander, Michael B.

    2010-07-14

    Events of significant impact as recent as hurricane Ike yielded a consistent disturbing truth: we lack sufficient numbers of competent search dog [Canis familiaris] teams. This study was conceived to provide information in identifying factors...

  5. Distributed naming in a factored operating system

    E-Print Network [OSTI]

    Beckmann, Nathan (Nathan Zachary)

    2010-01-01

    A factored operating system (fos) is a new operating system design for manycore and cloud computers. In fos, OS services are separated from application code and run on distinct cores. Furthermore, each service is split ...

  6. Enabling Factors in Successful Product Development

    E-Print Network [OSTI]

    Tang, Victor

    2005-08-15

    The research literature and industry best-practices report a vast number of enabling factors that contribute to successful product development (PD). Collectively this body of work also establishes the causal linkages between ...

  7. Human Factors of Healthcare Reporting Systems

    E-Print Network [OSTI]

    Johnson, C.W.

    Johnson,C.W. P. Carayon (ed), A Handbook of Human Factors and Ergonomics in Healthcare and Patient Safety, Lawrence Erlbaum, London, UK pp 525-560 Lawrence Erlbaum Associates

  8. Proton form factor effects in hydrogenic atoms

    SciTech Connect (OSTI)

    Daza, F. Garcia; Kelkar, N. G.; Nowakowski, M.

    2011-10-21

    The proton structure corrections to the hyperfine splittings in electronic and muonic hydrogen are evaluated using the Breit potential with electromagnetic form factors. In contrast to other methods, the Breit equation with q{sup 2} dependent form factors is just an extension of the standard Breit equation which gives the hyperfine splitting Hamiltonian. Precise QED corrections are comparable to the structure corrections which therefore need to be evaluated ab initio.

  9. Rice Quality Factors: Implications For Management Decisions. 

    E-Print Network [OSTI]

    Grant, Warren R.; Rister, Edward, M.; Brorsen, B. Wade

    1986-01-01

    . Review comments and suggestions from Bill Black, Bart Drees, Arthur Gerlow, Melvin Parker, James Stansel, Mo Way, Bill Webb, and Michael Wohlgenant are also appreciated. A special thanks to Kim Trant for editorial assistance. ... Rice Quality Factors... that grades are intended to measure are red rice, weed seeds, damaged kernels (including peck), off-color, chalk, and off-types of rice kernels. These factors should be negatively related to price, since they are all undesirable characteristics. 1 Graders...

  10. Factors affecting robust retail energy markets

    SciTech Connect (OSTI)

    Michelman, T.S.

    1999-04-01

    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.

  11. The factor 2 in fundamental physics

    E-Print Network [OSTI]

    Peter Rowlands

    2001-10-24

    A brief history is given of the factor 2, starting in the most elementary considerations of geometry and kinematics of uniform acceleration, and moving to relativity, quantum mechanics and particle physics. The basic argument is that in all the significant cases in which the factor 2 or 1/2 occurs in fundamental physics, whether classical, quantum or relativistic, the same physical operation is taking place.

  12. Odd orders in Shor's factoring algorithm

    E-Print Network [OSTI]

    Thomas Lawson

    2015-01-13

    Shor's factoring algorithm (SFA) finds the prime factors of a number, $N=p_1 p_2$, exponentially faster than the best known classical algorithm. Responsible for the speed-up is a subroutine called the quantum order finding algorithm (QOFA) which calculates the order -- the smallest integer, $r$, satisfying $a^r \\mod N =1$, where $a$ is a randomly chosen integer coprime to $N$ (meaning their greatest common divisor is one, $\\gcd(a, N) =1$). Given $r$, and with probability not less than $1/2$, the factors are given by $p_1 = \\gcd (a^{\\frac{r}{2}} - 1, N)$ and $p_2 = \\gcd (a^{\\frac{r}{2}} + 1, N)$. For odd $r$ it is assumed the factors cannot be found (since $a^{\\frac{r}{2}}$ is not generally integer) and the QOFA is relaunched with a different value of $a$. But a recent paper [E. Martin-Lopez: Nat Photon {\\bf 6}, 773 (2012)] noted that the factors can sometimes be found from odd orders if the coprime is square. This raises the question of improving SFA's success probability by considering odd orders. We show that an improvement is possible, though it is small. We present two techniques for retrieving the order from apparently useless runs of the QOFA: not discarding odd orders; and looking out for new order finding relations in the case of failure. In terms of efficiency, using our techniques is equivalent to avoiding square coprimes and disregarding odd orders, which is simpler in practice. Even still, our techniques may be useful in the near future, while demonstrations are restricted to factoring small numbers. The most convincing demonstrations of the QOFA are those that return a non-power-of-two order, making odd orders that lead to the factors attractive to experimentalists.

  13. Simulating Factorization with a Quantum Computer

    E-Print Network [OSTI]

    Jose Luis Rosales

    2015-05-12

    Modern cryptography is largely based on complexity assumptions, for example, the ubiquitous RSA is based on the supposed complexity of the prime factorization problem. Thus, it is of fundamental importance to understand how a quantum computer would eventually weaken these algorithms. In this paper, one follows Feynman's prescription for a computer to simulate the physics corresponding to the algorithm of factoring a large number $N$ into primes. Using Dirac-Jordan transformation theory one translates factorization into the language of quantum hermitical operators, acting on the vectors of the Hilbert space. This leads to obtaining the ensemble of factorization of $N$ in terms of the Euler function $\\varphi(N)$, that is quantized. On the other hand, considering $N$ as a parameter of the computer, a Quantum Mechanical Prime Counting Function $\\pi_{QM}(x)$, where $x$ factorizes $N$, is derived. This function converges to $\\pi(x)$ when $N\\gg x$. It has no counterpart in analytic number theory and its derivation relies on semiclassical quantization alone.

  14. Chiral extrapolation of nucleon magnetic form factors

    SciTech Connect (OSTI)

    P. Wang; D. Leinweber; A. W. Thomas; R.Young

    2007-04-01

    The extrapolation of nucleon magnetic form factors calculated within lattice QCD is investigated within a framework based upon heavy baryon chiral effective-field theory. All one-loop graphs are considered at arbitrary momentum transfer and all octet and decuplet baryons are included in the intermediate states. Finite range regularization is applied to improve the convergence in the quark-mass expansion. At each value of the momentum transfer (Q{sup 2}), a separate extrapolation to the physical pion mass is carried out as a function of m{sub {pi}} alone. Because of the large values of Q{sup 2} involved, the role of the pion form factor in the standard pion-loop integrals is also investigated. The resulting values of the form factors at the physical pion mass are compared with experimental data as a function of Q{sup 2} and demonstrate the utility and accuracy of the chiral extrapolation methods presented herein.

  15. Human factors in nuclear technology - a history

    SciTech Connect (OSTI)

    Jones, D.B. )

    1992-01-01

    Human factors, human factors engineering (HFE), or ergonomics did not receive much formal attention in nuclear technology prior to the Three Mile Island Unit 2 (TMI-2) incident. Three principal reasons exist for this lack of concern. First, emerging technologies show little concern with how people will use a new system. Making the new technology work is considered more important than the people who will use it. Second, the culture of the users of nuclear power did not recognize a need for human factors. Traditional utilities had well established and effective engineering designs for control of electric power generation, while medicine considered the use of nuclear isotopes another useful tool, not requiring special ergonomics. Finally, the nuclear industry owed much to Admiral Rickover. He was definitely opposed.

  16. Hadronic form factors in kaon photoproduction

    SciTech Connect (OSTI)

    Syukurilla, L. Mart, T.

    2014-09-25

    We have revisited the effect of hadronic form factors in kaon photoproduction process by utilizing an isobaric model developed for kaon photoproduction off the proton. The model is able to reproduce the available experimental data nicely as well as to reveal the origin of the second peak in the total cross section, which was the main source of confusion for decades. Different from our previous study, in the present work we explore the possibility of using different hadronic form factors in each of the K?N vertices. The use of different hadronic form factors, e.g. dipole, Gaussian, and generalized dipole, has been found to produce a more flexible isobar model, which can provide a significant improvement in the model.

  17. Human factors challenges for advanced process control

    SciTech Connect (OSTI)

    Stubler, W.F.; O`Hara, J..M.

    1996-08-01

    New human-system interface technologies provide opportunities for improving operator and plant performance. However, if these technologies are not properly implemented, they may introduce new challenges to performance and safety. This paper reports the results from a survey of human factors considerations that arise in the implementation of advanced human-system interface technologies in process control and other complex systems. General trends were identified for several areas based on a review of technical literature and a combination of interviews and site visits with process control organizations. Human factors considerations are discussed for two of these areas, automation and controls.

  18. Unidentified factors in the nutrition of chickens 

    E-Print Network [OSTI]

    Dieckert, Julius Walter

    1951-01-01

    of the factor were described? The factor was found to be stable to heat and acid, Xn fact? ths activity of liver?L" wac increased several?4'oi14 by autoclaving at pH 1 for thirty xdxxutes? RecentIy? Tovs& Lslor+ and RLvsbgem {'%) reported that mink required...~ The idea was expressed explicitly by Hapson ('3&? '33) and hy ByerIy et aI ('33) ~ Hapson in working with rats found that these animals required something associated with animal protein for normal growthI unfortunate+? he did not con~us the study, ByurIy...

  19. Momentum compaction and phase slip factor

    SciTech Connect (OSTI)

    Ng, K.Y.; /Fermilab

    2010-10-01

    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.

  20. Annotated bibliography of human factors applications literature

    SciTech Connect (OSTI)

    McCafferty, D.B.

    1984-09-30

    This bibliography was prepared as part of the Human Factors Technology Project, FY 1984, sponsored by the Office of Nuclear Safety, US Department of Energy. The project was conducted by Lawrence Livermore National Laboratory, with Essex Corporation as a subcontractor. The material presented here is a revision and expansion of the bibliographic material developed in FY 1982 as part of a previous Human Factors Technology Project. The previous bibliography was published September 30, 1982, as Attachment 1 to the FY 1982 Project Status Report.

  1. Photon impact factor and k{sub T} factorization in the next-to-leading order

    SciTech Connect (OSTI)

    Ian Balitsky

    2012-12-01

    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.

  2. Domain Assignment to Transcription FactorsDomain Assignment to Transcription Factors 412 Proteins with

    E-Print Network [OSTI]

    Babu, M. Madan

    Domain Assignment to Transcription FactorsDomain Assignment to Transcription Factors 412 Proteins with at least one SCOP DBD assignment 412 Proteins with at least one SCOP DBD assignment 7 proteins with PFAM DBD assignment 7 proteins with PFAM DBD assignment 419 proteins with DBD assignment419 proteins

  3. Deep Mixtures of Factor Analysers Introduction

    E-Print Network [OSTI]

    Toronto, University of

    Deep Mixtures of Factor Analysers Introduction Experiments - High dimensional data (avg. log An efficient way to learn deep density models is to greedily learn one layer at a time using one layer latent Graphical Model of Deep MFA Illustration with 2D data Each ellipse is a Gaussian Component Aggregated

  4. Integrating Human Factors with Software Engineering Practices

    E-Print Network [OSTI]

    of the 38th Annual Meeting of the Human Factors and Ergonomics Society, Nashville, TN, October, 1994. Also to the design, development, and evaluation of usable and useful interactive systems, and presents a rationale Ergonomics and Safety Technology, Inc. Pittsburgh, PA 15213 USA jtr001@delphi.com 1. Introduction The design

  5. Unit Conversion Factors Quantity Equivalent Values

    E-Print Network [OSTI]

    Ashurst, W. Robert

    Unit Conversion Factors Quantity Equivalent Values Mass 1 kg = 1000 g = 0.001 metric ton = 2·R 10.73 psia·ft3 lbmol·R 62.36 liter·torr mol·K 0.7302 ft3·atm lbmol·R Temperature Conversions: T

  6. Singular subfactors of II_1 factors 

    E-Print Network [OSTI]

    Wiggins, Alan Daniel

    2007-09-17

    II1 factor and G is a countable discrete group acting on P by outer automorphisms, we characterize the elements x of PoG such that x(PoH)x0 PoH for some subgroup H of G. We establish that proper finite index singular subfactors do not have the weak...

  7. Distributed QR Factorization Based on Randomized Algorithms

    E-Print Network [OSTI]

    Zemen, Thomas

    Distributed QR Factorization Based on Randomized Algorithms Hana Strakov´a1 , Wilfried N. Gansterer of Algorithms Hana.Strakova@univie.ac.at, Wilfried.Gansterer@univie.ac.at 2 Forschungszentrum Telekommunication Wien, Austria Thomas.Zemen@ftw.at Abstract. Most parallel algorithms for matrix computations assume

  8. GRIDONOMICS An Introduction to the Factors Shaping

    E-Print Network [OSTI]

    Stoltz, Brian M.

    GRIDONOMICS An Introduction to the Factors Shaping Electric Industry Transformation White Paper industry is at a tipping point where the pace of change and opportunity for disruption is accelerating. Thirty years of energy policy and industry structural changes are combining with accelerating social

  9. Derivation of dose conversion factors for tritium

    SciTech Connect (OSTI)

    Killough, G. G.

    1982-03-01

    For a given intake mode (ingestion, inhalation, absorption through the skin), a dose conversion factor (DCF) is the committed dose equivalent to a specified organ of an individual per unit intake of a radionuclide. One also may consider the effective dose commitment per unit intake, which is a weighted average of organ-specific DCFs, with weights proportional to risks associated with stochastic radiation-induced fatal health effects, as defined by Publication 26 of the International Commission on Radiological Protection (ICRP). This report derives and tabulates organ-specific dose conversion factors and the effective dose commitment per unit intake of tritium. These factors are based on a steady-state model of hydrogen in the tissues of ICRP's Reference Man (ICRP Publication 23) and equilibrium of specific activities between body water and other tissues. The results differ by 27 to 33% from the estimate on which ICRP Publication 30 recommendations are based. The report also examines a dynamic model of tritium retention in body water, mineral bone, and two compartments representing organically-bound hydrogen. This model is compared with data from human subjects who were observed for extended periods. The manner of combining the dose conversion factors with measured or model-predicted levels of contamination in man's exposure media (air, drinking water, soil moisture) to estimate dose rate to an individual is briefly discussed.

  10. Pion form factor with twisted mass QCD

    E-Print Network [OSTI]

    Abdou M. Abdel-Rehim; Randy Lewis

    2004-09-10

    The pion form factor is calculated using quenched twisted mass QCD with beta=6.0 and maximal twisting angle omega=pi/2. Two pion masses and several values of momentum transfer are considered. The momentum averaging procedure of Frezzotti and Rossi is used to reduce lattice spacing errors, and numerical results are consistent with the expected O(a) improvement.

  11. Factors Influencing Succession: Lessons from Large, Infrequent

    E-Print Network [OSTI]

    Turner, Monica G.

    intense disturbances of large and small extent. Key words: disturbance frequency; disturbance intensityFactors Influencing Succession: Lessons from Large, Infrequent Natural Disturbances Monica G ABSTRACT Disturbance events vary in intensity, size, and fre- quency, but few opportunities exist to study

  12. Factored Language Models for Statistical Machine Translation

    E-Print Network [OSTI]

    Koehn, Philipp

    Factored Language Models for Statistical Machine Translation Amittai E. Axelrod TH E U N I V E R . . . . . . . . . . . . . . . . . . . . . 10 2.4.3 Log-Linear, Phrase-Based Translation Models . . . . . . . . . 11 3 Statistical Language S ITY OF E D I N B U R G H Master of Science by Research Institute for Communicating and Collaborative

  13. Structure Functions, Form Factors, and Lattice QCD

    E-Print Network [OSTI]

    Walter Wilcox; B. Andersen-Pugh

    1993-12-07

    We present results towards the calculation of the pion electric form factor and structure function on a $16^3\\times 24$ lattice using charge overlap. By sacrificing Fourier transform information in two directions, it is seen that the longitudinal four point function can be extracted with reasonable error bars at low momentum.

  14. Nucleon and $?$ elastic and transition form factors

    E-Print Network [OSTI]

    Jorge Segovia; Ian C. Cloet; Craig D. Roberts; Sebastian M. Schmidt

    2014-09-03

    We compute nucleon and Delta elastic and transition form factors, and compare predictions made using a framework built upon a Faddeev equation kernel and interaction vertices that possess QCD-like momentum dependence with results obtained using a vector-vector contact-interaction. The comparison emphasises that experiment is sensitive to the momentum dependence of the running couplings and masses in the strong interaction sector of the Standard Model and highlights that the key to describing hadron properties is a veracious expression of dynamical chiral symmetry breaking in the bound-state problem. Amongst the results we describe, the following are of particular interest: $G_E^p(Q^2)/G_M^p(Q^2)$ possesses a zero at $Q^2=9.5GeV^2$; any change in the interaction which shifts a zero in the proton ratio to larger $Q^2$ relocates a zero in $G_E^n(Q^2)/G_M^n(Q^2)$ to smaller $Q^2$; and there is likely a value of momentum transfer above which $G_E^n>G_E^p$. Regarding the $\\Delta(1232)$-baryon, we find that, inter alia: the electric monopole form factor exhibits a zero; the electric quadrupole form factor is negative, large in magnitude, and sensitive to the nature and strength of correlations in the $\\Delta(1232)$ Faddeev amplitude; and the magnetic octupole form factor is negative so long as rest-frame P- and D-wave correlations are included. In connection with the N-to-Delta transition, the momentum-dependence of the magnetic transition form factor, $G_M^\\ast$, matches that of $G_M^n$ once the momentum transfer is high enough to pierce the meson-cloud; and the electric quadrupole ratio is a keen measure of diquark and orbital angular momentum correlations.

  15. Spatiotemporal Distribution of NOx Storage: a Factor Controlling...

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

    Spatiotemporal Distribution of NOx Storage: a Factor Controlling NH3 and N2O Selectivities over a Commercial LNT Catalyst Spatiotemporal Distribution of NOx Storage: a Factor...

  16. High Quality Factor Fano-Resonant All-Dielectric Metamaterials...

    Office of Scientific and Technical Information (OSTI)

    High Quality Factor Fano-Resonant All-Dielectric Metamaterials Citation Details In-Document Search Title: High Quality Factor Fano-Resonant All-Dielectric Metamaterials Authors:...

  17. Test of factorization in diffractive deep inelastic scattering...

    Office of Scientific and Technical Information (OSTI)

    Test of factorization in diffractive deep inelastic scattering and photoproduction at HERA Citation Details In-Document Search Title: Test of factorization in diffractive deep...

  18. Multilevel Factor Analysis of Class and Student Achievement Components

    E-Print Network [OSTI]

    Bengt O. Muthén

    2011-01-01

    Multilevel Factor Analysis of Class and Student AchievementMultilevel Factor Analysis of Class and Student Achievementof students observed within classes, classes within schools,

  19. Major Risk Factors to the Integrated Facility Disposition Project...

    Office of Environmental Management (EM)

    Major Risk Factors to the Integrated Facility Disposition Project Major Risk Factors to the Integrated Facility Disposition Project The scope of the Integrated Facility Disposition...

  20. HUMAN FACTORS GUIDANCE FOR CONTROL ROOM EVALUATION

    SciTech Connect (OSTI)

    OHARA,J.; BROWN,W.; STUBLER,W.; HIGGINS,J.; WACHTEL,J.; PERSENSKY,J.J.

    2000-07-30

    The Human-System Interface Design Review Guideline (NUREG-0700, Revision 1) was developed by the US Nuclear Regulatory Commission (NRC) to provide human factors guidance as a basis for the review of advanced human-system interface technologies. The guidance consists of three components: design review procedures, human factors engineering guidelines, and a software application to provide design review support called the ``Design Review Guideline.'' Since it was published in June 1996, Rev. 1 to NUREG-0700 has been used successfully by NRC staff, contractors and nuclear industry organizations, as well as by interested organizations outside the nuclear industry. The NRC has committed to the periodic update and improvement of the guidance to ensure that it remains a state-of-the-art design evaluation tool in the face of emerging and rapidly changing technology. This paper addresses the current research to update of NUREG-0700 based on the substantial work that has taken place since the publication of Revision 1.

  1. Measurement of the ??*?? and ??*??' transition form factors

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    del Amo Sanchez, P.; Lees, J. P.; Poireau, V.; Prencipe, E.; Tisserand, V.; Garra Tico, J.; Grauges, E.; Martinelli, M.; Milanes, D. A.; Palano, A.; et al

    2011-09-06

    We study the reactions e?e??e?e??(') in the single-tag mode and measure the ??*??(') transition form factors in the momentum-transfer range from 4 to 40 GeV². The analysis is based on 469 fb?¹ of integrated luminosity collected at PEP-II with the BABAR detector at e?e? center-of-mass energies near 10.6 GeV.

  2. Measurement of the ??*?? and ??*??' transition form factors

    SciTech Connect (OSTI)

    del Amo Sanchez, P.; Lees, J. P.; Poireau, V.; Prencipe, E.; Tisserand, V.; Garra Tico, J.; Grauges, E.; Martinelli, M.; Milanes, D. A.; Palano, A.; Pappagallo, M.; Eigen, G.; Stugu, B.; Sun, L.; Brown, D. N.; Kerth, L. T.; Kolomensky, Yu.?G.; Lynch, G.; Osipenkov, I. L.; Koch, H.; Schroeder, T.; Asgeirsson, D. J.; Hearty, C.; Mattison, T. S.; McKenna, J. A.; Khan, A.; Blinov, V. E.; Botov, A. A.; Buzykaev, A. R.; Druzhinin, V. P.; Golubev, V. B.; Kravchenko, E. A.; Onuchin, A. P.; Serednyakov, S. I.; Skovpen, Yu.?I.; Solodov, E. P.; Todyshev, K.?Yu.; Yushkov, A. N.; Bondioli, M.; Curry, S.; Kirkby, D.; Lankford, A. J.; Mandelkern, M.; Martin, E. C.; Stoker, D. P.; Atmacan, H.; Gary, J. W.; Liu, F.; Long, O.; Vitug, G. M.; Campagnari, C.; Hong, T. M.; Kovalskyi, D.; Richman, J. D.; West, C. A.; Eisner, A. M.; Heusch, C. A.; Kroseberg, J.; Lockman, W. S.; Martinez, A. J.; Schalk, T.; Schumm, B. A.; Seiden, A.; Winstrom, L. O.; Cheng, C. H.; Doll, D. A.; Echenard, B.; Hitlin, D. G.; Ongmongkolkul, P.; Porter, F. C.; Rakitin, A. Y.; Andreassen, R.; Dubrovin, M. S.; Meadows, B. T.; Sokoloff, M. D.; Bloom, P. C.; Ford, W. T.; Gaz, A.; Nagel, M.; Nauenberg, U.; Smith, J. G.; Wagner, S. R.; Ayad, R.; Toki, W. H.; Jasper, H.; Petzold, A.; Spaan, B.; Kobel, M. J.; Schubert, K. R.; Schwierz, R.; Bernard, D.; Verderi, M.; Clark, P. J.; Playfer, S.; Watson, J. E.; Andreotti, M.; Bettoni, D.; Bozzi, C.; Calabrese, R.; Cecchi, A.; Cibinetto, G.; Fioravanti, E.; Franchini, P.; Garzia, I.; Luppi, E.; Munerato, M.; Negrini, M.; Petrella, A.; Piemontese, L.; Baldini-Ferroli, R.; Calcaterra, A.; de Sangro, R.; Finocchiaro, G.; Nicolaci, M.; Pacetti, S.; Patteri, P.; Peruzzi, I. M.; Piccolo, M.; Rama, M.; Zallo, A.; Contri, R.; Guido, E.; Lo Vetere, M.; Monge, M. R.; Passaggio, S.; Patrignani, C.; Robutti, E.; Bhuyan, B.; Prasad, V.; Lee, C. L.; Morii, M.; Edwards, A. J.; Adametz, A.; Marks, J.; Uwer, U.; Bernlochner, F. U.; Ebert, M.; Lacker, H. M.; Lueck, T.; Volk, A.; Dauncey, P. D.; Tibbetts, M.; Behera, P. K.; Mallik, U.; Chen, C.; Cochran, J.; Crawley, H. B.; Meyer, W. T.; Prell, S.; Rosenberg, E. I.; Rubin, A. E.; Gritsan, A. V.; Guo, Z. J.; Arnaud, N.; Davier, M.; Derkach, D.; Firmino da Costa, J.; Grosdidier, G.; Le Diberder, F.; Lutz, A. M.; Malaescu, B.; Perez, A.; Roudeau, P.; Schune, M. H.; Serrano, J.; Sordini, V.; Stocchi, A.; Wang, L.; Wormser, G.; Lange, D. J.; Wright, D. M.; Bingham, I.; Chavez, C. A.; Coleman, J. P.; Fry, J. R.; Gabathuler, E.; Hutchcroft, D. E.; Payne, D. J.; Touramanis, C.; Bevan, A. J.; Di Lodovico, F.; Sacco, R.; Sigamani, M.; Cowan, G.; Paramesvaran, S.; Wren, A. C.; Brown, D. N.; Davis, C. L.; Denig, A. G.; Fritsch, M.; Gradl, W.; Hafner, A.; Alwyn, K. E.; Bailey, D.; Barlow, R. J.; Jackson, G.; Lafferty, G. D.; Anderson, J.; Cenci, R.; Jawahery, A.; Roberts, D. A.; Simi, G.; Tuggle, J. M.; Dallapiccola, C.; Salvati, E.; Cowan, R.; Dujmic, D.; Sciolla, G.; Zhao, M.; Lindemann, D.; Patel, P. M.; Robertson, S. H.; Schram, M.; Biassoni, P.; Lazzaro, A.; Lombardo, V.; Palombo, F.; Stracka, S.; Cremaldi, L.; Godang, R.; Kroeger, R.; Sonnek, P.; Summers, D. J.; Nguyen, X.; Simard, M.; Taras, P.; De Nardo, G.; Monorchio, D.; Onorato, G.; Sciacca, C.; Raven, G.; Snoek, H. L.; Jessop, C. P.; Knoepfel, K. J.; LoSecco, J. M.; Wang, W. F.; Corwin, L. A.; Honscheid, K.; Kass, R.; Blount, N. L.; Brau, J.; Frey, R.; Igonkina, O.; Kolb, J. A.; Rahmat, R.; Sinev, N. B.; Strom, D.; Strube, J.; Torrence, E.; Castelli, G.; Feltresi, E.; Gagliardi, N.; Margoni, M.; Morandin, M.; Posocco, M.; Rotondo, M.; Simonetto, F.; Stroili, R.; Ben-Haim, E.; Bomben, M.; Bonneaud, G. R.; Briand, H.; Calderini, G.; Chauveau, J.; Hamon, O.; Leruste, Ph.; Marchiori, G.; Ocariz, J.; Prendki, J.; Sitt, S.; Biasini, M.; Manoni, E.; Rossi, A.; Angelini, C.; Batignani, G.; Bettarini, S.; Carpinelli, M.; Casarosa, G.; Cervelli, A.; Forti, F.; Giorgi, M. A.; Lusiani, A.; Neri, N.; Paoloni, E.; Rizzo, G.; Walsh, J. J.; Lopes Pegna, D.; Lu, C.; Olsen, J.; Smith, A. J. S.; Telnov, A. V.; Anulli, F.; Baracchini, E.; Cavoto, G.; Faccini, R.; Ferrarotto, F.; Ferroni, F.; Gaspero, M.; Li Gioi, L.; Mazzoni, M. A.; Piredda, G.; Renga, F.; Buenger, C.; Hartmann, T.; Leddig, T.; Schröder, H.; Waldi, R.; Adye, T.; Olaiya, E. O.; Wilson, F. F.; Emery, S.; Hamel de Monchenault, G.; Vasseur, G.; Yèche, Ch.; Allen, M. T.; Aston, D.; Bard, D. J.; Bartoldus, R.; Benitez, J. F.; Cartaro, C.; Convery, M. R.; Dorfan, J.; Dubois-Felsmann, G. P.; Dunwoodie, W.; Field, R. C.; Franco Sevilla, M.; Fulsom, B. G.; Gabareen, A. M.; Graham, M. T.; Grenier, P.; Hast, C.; Innes, W. R.; Kelsey, M. H.; Kim, H.; Kim, P.; Kocian, M. L.; Leith, D. W. G. S.; Lewis, P.; Li, S.; Lindquist, B.; Luitz, S.; Luth, V.; Lynch, H. L.

    2011-09-06

    We study the reactions e?e??e?e??(') in the single-tag mode and measure the ??*??(') transition form factors in the momentum-transfer range from 4 to 40 GeV². The analysis is based on 469 fb?¹ of integrated luminosity collected at PEP-II with the BABAR detector at e?e? center-of-mass energies near 10.6 GeV.

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

    E-Print Network [OSTI]

    Gaucher, Beverly Jane

    2013-04-04

    This research explores factor analysis applied to data from skewed distributions for the general skew model, the selection-elliptical model, the selection-normal model, the skew-elliptical model and the skew-normal model ...

  4. Transcription factor-based biosensors for detecting dicarboxylic acids

    SciTech Connect (OSTI)

    Dietrich, Jeffrey; Keasling, Jay

    2014-02-18

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

  5. 3.5. EFFICIENCY FACTORS 63 3.5 Efficiency factors

    E-Print Network [OSTI]

    Bailey, R. A.

    3.5. EFFICIENCY FACTORS 63 3.5 Efficiency factors For comparison we consider a complete) and the variance of the estimator of x is (x L-x)2 CBD, which is equal to r-1x x2 CBD. Definition The efficiency to a complete-block design with variance 2 CBD and the same replication is x x rx L-x 2 CBD 2 and the efficiency

  6. Lorentz Coherence and the Proton Form Factor

    E-Print Network [OSTI]

    Young S. Kim

    2015-02-28

    The dipole cutoff behavior for the proton form factor has been and still is one of the major issues in high-energy physics. It is shown that this dipole behavior comes from the coherence between the Lorentz contraction of the proton size and the decreasing wavelength of the incoming photon signal. The contraction rates are the same for both cases. This form of coherence is studied also in the momentum-energy space. The coherence effect in this space can be explained in terms of two overlapping wave functions.

  7. Factors for design of dips for roadways 

    E-Print Network [OSTI]

    McCasland, William Richard

    1957-01-01

    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...

  8. Prime number generation and factor elimination

    E-Print Network [OSTI]

    Vineet Kumar

    2014-10-06

    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.

  9. Emission Factors (EMFAC) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA Jump to:of theClimateElgin, Illinois:JV JumpFactors (EMFAC) Jump to:

  10. Installing a Subsurface Drip Irrigation System for Row Crops 

    E-Print Network [OSTI]

    Enciso, Juan

    2004-09-07

    be used to trap the sand, followed by a disk or sand media fil- ter. When water comes from a canal, it is common to have both a media filter and a screen filter. Media filters need the most adjustment during installation. Media filters consist of several... system The main components of an irrigation system are the filters, mainlines, manifolds (submains), field blocks, flush lines, drip lines (laterals) and accessories (Fig. 1). All the drip lines (laterals) connected to the same submain make up a field...

  11. Policing Rock Bottom: Regulation, Rehabilitation, and Resistance on Skid Row

    E-Print Network [OSTI]

    Stuart, Forrest Daniel

    2012-01-01

    disorder and low level offenses thus signals an effort of what Jonathan Simon (2007) has referred to as ?governing

  12. Row-Reduced Column Generation for Degenerate Master Problems

    E-Print Network [OSTI]

    2013-02-06

    Feb 5, 2013 ... node of a search tree, and often produces strong dual bounds. ... In linear algebra terms, we work with a projection ... enter the current basis.

  13. Supplementary Materials Reconnecting Our Waterways (ROW) Collective Impact Statement

    E-Print Network [OSTI]

    Sprott, Julien Clinton

    . Partner organizations and total investment during 2012 for the Fall Creek Honeysuckle Removal Project, Indianapolis, IN. Partner Est. Cash Investment Estimated Services Outcomes Anonymous Donor $100 Qualified crews (as defined by property owner and regulations) applies oil based broad leaf herbicide

  14. Installing a Subsurface Drip Irrigation System for Row Crops (Spanish) 

    E-Print Network [OSTI]

    Enciso, Juan

    2004-09-07

    de gasto Bomba Controlador V?lvula de liberaci?n de vac?o Proceso de filtraci?n Proceso de retrolavado Valvola de retrolavado EntradaEntrada SalidaSalida retrolavado (Fig. 13). Los tanques deben ser retrolavados cuando est?n sucios, una condici?n que...

  15. A competitive genetic algorithm for single row facility layout

    E-Print Network [OSTI]

    2012-02-22

    Feb 22, 2012 ... gorithm uses an elite preserving mechanism which ensures that only the ..... our knowledge. ..... Engineering & Management, 3(4):193–204.

  16. The phase diagram of the staggered row model for magnetism 

    E-Print Network [OSTI]

    Zhang, Weimin

    1991-01-01

    (2Hs + A) + 2C sin( ? + Hs) + B sin(2Hp ? ? ) = 0, (3, 1&) 2 2 where the local fields Hc and Brr are given by Bc' = ? 2B o (Hs ? D) ? 4B co (H + ? ), B = ? Ccos(H ? 6) ? 2Ccos(Ho+ ? ) ? 2B os(2H ? ? ) ? qB o (2H aA). (3, 17) 2 2 Near zero... and B can be used to simplified the problem. Thus, we let Hri ? Hc = Ho ? Ha = Hp Sg = Sn = B and Sc' = C. After these simplifications, the mean-field equations become B = R(Offing), C = R(PHc), B sin(2Hp ? ? ) + C sin(Hs ? g) = 0, 2 (3. 14) qB sin...

  17. NMSLO Affidavit of Completion of ROW Construction | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: EnergyInformationOliver,Minnesota:EnergyNARI|Forms12 UndergroundNMSLO

  18. NMSLO Surface Division ROW FAQs | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: EnergyInformationOliver,Minnesota:EnergyNARI|Forms12State LandsRight

  19. " Row: NAICS Codes; Column: Electricity Components;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.96 Capability3.1.3.13.1.

  20. " Row: NAICS Codes; Column: Electricity Components;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.96 Capability3.1.3.13.1.1

  1. " Row: NAICS Codes; Column: Electricity Components;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.96

  2. " Row: NAICS Codes; Column: Electricity Components;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.961 Electricity: Components

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.961 Electricity:

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.961 Electricity:6 Quantity

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.961 Electricity:6 Quantity6

  6. " Row: Employment Sizes within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.961 Electricity:683A6.3.

  7. " Row: Employment Sizes within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.961 Electricity:683A6.3.4

  8. " Row: Employment Sizes within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.961 Electricity:683A6.3.44

  9. " Row: Employment Sizes within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.961 Electricity:683A6.3.444

  10. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.961

  11. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of Fuel

  12. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of Fuel3.

  13. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of Fuel3.4.

  14. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of Fuel3.4.1

  15. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of

  16. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of3 End Uses

  17. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of3 End

  18. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of3 End1 End

  19. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of3 End1

  20. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of3 End13

  1. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of3 End134

  2. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of3 End1341

  3. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of3 End13412

  4. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of3

  5. " Row: End Uses within NAICS Codes;"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses of34 End

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses14.4

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses14.4C3.1.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses14.4C3.1.1.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End Uses14.4C3.1.1.2.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel4 Number of

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel4 Number of1

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel4 Number

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel4 Number4

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel4 Number42.4

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel4

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel42 Fuel

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel42 Fuel3.4

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel42 Fuel3.41

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel42 Fuel3.412

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel42

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel421 Fuel

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel421 Fuel2

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel421 Fuel23.4

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel421

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel4212

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End2 Fuel42124.4

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212.1. Number2.1.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212.1.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212.1.1. Fuel

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212.1.1. Fuel2.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212.1.1.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page|Monthly","10/2015","1/15/1981" ,"DataWorking17.2 116.9 107.6 104.9612. End212.1.1.S5.1.

  15. Level: National Data; Row: Employment Sizes within NAICS Codes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550 Capability8.54

  16. Level: National Data; Row: Employment Sizes within NAICS Codes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550 Capability8.544

  17. Level: National Data; Row: NAICS Codes; Column: Energy Sources

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 15504 End Uses4.42.4

  18. Level: National Data; Row: NAICS Codes; Column: Energy Sources

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 15504 End

  19. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 15504 End1.4

  20. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 15504 End1.43.4

  1. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 15504 End1.43.44.4

  2. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 15504 End1.43.44.41

  3. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 15504 End1.43.44.413

  4. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 15504 End1.43.44.4133

  5. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 15504

  6. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 155047 Number of

  7. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 155047 Number of9

  8. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 155047 Number of91

  9. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 155047 Number of913

  10. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 155047 Number of9133

  11. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 155047 Number

  12. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 155047 Number7 Number

  13. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 155047 Number7

  14. Level: National Data; Row: NAICS Codes; Column: Floorspace and Buildings;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 155047 Number79.1

  15. Level: National Data; Row: Values of Shipments within NAICS Codes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number Next3

  16. Level: National Data; Row: Values of Shipments within NAICS Codes;

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809 245 1550473 Number Next33

  17. Improving Data Center Efficiency with Rack or Row Cooling Devices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancingREnergy ToolsCoordinationDepartmentImproving7,

  18. Improving Data Center Efficiency with Rack or Row Cooling Devices |

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergy HeadquartersFuelBConservation Standards andEnergyImplementing1: 2013-017,

  19. The role of brain-derived neurotrophic factor in cortical motor learning

    E-Print Network [OSTI]

    Von dem Bussche, Mary

    2007-01-01

    T. , and Nakamura, S. , Brain-derived neurotrophic factor-dependent transfer of brain-derived neurotrophic factor toneurotrophic factors brain-derived neurotrophic factor and

  20. Human factors engineering program review model

    SciTech Connect (OSTI)

    Not Available

    1994-07-01

    The staff of the Nuclear Regulatory Commission is performing nuclear power plant design certification reviews based on a design process plan that describes the human factors engineering (HFE) program elements that are necessary and sufficient to develop an acceptable detailed design specification and an acceptable implemented design. There are two principal reasons for this approach. First, the initial design certification applications submitted for staff review did not include detailed design information. Second, since human performance literature and industry experiences have shown that many significant human factors issues arise early in the design process, review of the design process activities and results is important to the evaluation of an overall design. However, current regulations and guidance documents do not address the criteria for design process review. Therefore, the HFE Program Review Model (HFE PRM) was developed as a basis for performing design certification reviews that include design process evaluations as well as review of the final design. A central tenet of the HFE PRM is that the HFE aspects of the plant should be developed, designed, and evaluated on the basis of a structured top-down system analysis using accepted HFE principles. The HFE PRM consists of ten component elements. Each element in divided into four sections: Background, Objective, Applicant Submittals, and Review Criteria. This report describes the development of the HFE PRM and gives a detailed description of each HFE review element.

  1. Sparse LU Factorization for Large Circuit Matrices on Heterogenous Parallel Computing Platforms 

    E-Print Network [OSTI]

    Belsare, Aditya Sanjay

    2014-05-27

    random sparse matrix, with a sparsity of 0.25 and n=30,000 for our tests. Figure 4.1 shows GFlops versus the number 29 Table 4.2: Performance of parallel SpMV operations for COO, CSC and CSR sparse matrix formats COO (unsorted) CSC CSR Xeon E5-1620 0... NOMENCLATURE CSR Compressed Sparse Row CSC Compressed Sparse Column COO Coordinate Format N,n Order of Matrix NNZ Number of Non-zeros SpMV Sparse Matrix Vector Multiplication BTF Block Triangular Form AMD Approximate Minimum Degree v TABLE OF CONTENTS Page...

  2. Various factors affect coiled tubing limits

    SciTech Connect (OSTI)

    Yang, Y.S.

    1996-01-15

    Safety and reliability remain the primary concerns in coiled tubing operations. Factors affecting safety and reliability include corrosion, flexural bending, internal (or external) pressure and tension (or compression), and mechanical damage due to improper use. Such limits as coiled tubing fatigue, collapse, and buckling need to be understood to avoid disaster. With increased use of coiled tubing, operators will gain more experience. But at the same time, with further research and development of coiled tubing, the manufacturing quality will be improved and fatigue, collapse, and buckling models will become more mature, and eventually standard specifications will be available. This paper reviews the uses of coiled tubing and current research on mechanical behavior of said tubing. It also discusses several models used to help predict fatigue and failure levels.

  3. Chiral corrections to hyperon axial form factors

    SciTech Connect (OSTI)

    Jiang Fujiun; Tiburzi, B. C.

    2008-05-01

    We study the complete set of flavor-changing hyperon axial-current matrix elements at small momentum transfer. Using partially quenched heavy baryon chiral perturbation theory, we derive the chiral and momentum behavior of the axial and induced pseudoscalar form factors. The meson pole contributions to the latter posses a striking signal for chiral physics. We argue that the study of hyperon axial matrix elements enables a systematic lattice investigation of the efficacy of three-flavor chiral expansions in the baryon sector. This can be achieved by considering chiral corrections to SU(3) symmetry predictions, and their partially quenched generalizations. In particular, despite the presence of eight unknown low-energy constants, we are able to make next-to-leading order symmetry breaking predictions for two linear combinations of axial charges.

  4. Factors that influence follow-up after an abnormal mammogram 

    E-Print Network [OSTI]

    Copeland, Valerie Anne

    2009-05-15

    The focus of this study was to explore women’s experiences with follow-up after an abnormal mammogram, and factors that influence follow-up. Factors, including health status, found in the cancer screening and treatment ...

  5. Factors Analysis on Safety of Indoor Air Quality 

    E-Print Network [OSTI]

    Luo, Q.; Liu, Z.; Xiong, J.

    2006-01-01

    Influence factors on safety of indoor air quality (IAQ) were analyzed in this paper. Some regeneration compositions resulting from potential indoor chemical reactions may be more harmful to habitants. A few building flaws may be key factors...

  6. The Dirac Form Factor Predicts the Pauli Form Factor in the Endpoint Model

    E-Print Network [OSTI]

    Sumeet Dagaonkar; Pankaj Jain; John P. Ralston

    2015-03-24

    We compute the momentum-transfer dependence of the proton Pauli form factor $F_{2}$ in the endpoint overlap model. We find the model correctly reproduces the scaling of the ratio of $F_{2}$ with the Dirac Form factor $F_{1}$ observed at the Jefferson Laboratory. The calculation uses the leading-power, leading twist Dirac structure of the quark light-cone wave function, and the same endpoint dependence previously determined from the Dirac form factor $F_{1}$. There are no parameters and no adjustable functions in the endpoint model's prediction for $F_{2}$. The model's predicted ratio $F_{2}(Q^{2})/F_{1}(Q^{2})$ is quite insensitive to the endpoint wave function, which explains why the observed ratio scales like $1/Q$ down to rather low momentum transfers. The endpoint model appears to be the only comprehensive model consistent with all form factor information as well as reproducing fixed-angle proton-proton scattering at large momentum transfer. Any one of the processes is capable of predicting the others.

  7. 2008 Guidelines to Defra's GHG Conversion Factors Guidelines to Defra's GHG Conversion Factors

    E-Print Network [OSTI]

    2457 x 2457 kWh x 0.347 x 0.330 Domestic Coal 3 tonnes x 2523 x 2523 kWh x 0.313 x 0.298 Wood Pellets 4 stations or for industrial purposes have different emission factors. Wood pellets are used in domestic

  8. Iteration of Target Matrices in Exploratory Factor Analysis

    E-Print Network [OSTI]

    Moore, Tyler Maxwell

    2013-01-01

    extraction methods .Performance of factor extraction methods Several methodshere. How well an extraction method performs is influenced

  9. Annihilation Poles for Form Factors in XXZ Model

    E-Print Network [OSTI]

    S. Pakuliak

    1993-07-14

    The annihilation poles for the form factors in XXZ model are studied using vertex operators introduced in \\cite{DFJMN}. An annihilation pole is the property of form factors according to which the residue of the $2n$-particle form factor in such a pole can be expressed through linear combination of the $2n-2$-particle form factors. To prove this property we use the bosonization of the vertex operators in XXZ model which was invented in \\cite{JMMN}.

  10. SUCCESS FACTORS IN INFORMATION SECURITY IMPLEMENTATION IN ORGANIZATIONS

    E-Print Network [OSTI]

    Williamson, John

    SUCCESS FACTORS IN INFORMATION SECURITY IMPLEMENTATION IN ORGANIZATIONS Maryam Al-Awadi University This paper will explore and identify success factors related to the implementation of information security was to identify those factors required to ensure successful implementation of information security, particularly

  11. http://rev.sagepub.com/ Reviews of Human Factors and

    E-Print Network [OSTI]

    http://rev.sagepub.com/ Ergonomics Reviews of Human Factors and http://rev.sagepub.com/content/7 Factors and Ergonomics Michael A. Nees and Bruce N. Walker Auditory Displays for In-Vehicle Technologies Published by: http://www.sagepublications.com On behalf of: Human Factors and Ergonomics Society at: can

  12. SHORT COMMUNICATION Rhizobium Nod factors induce increases in intracellular free

    E-Print Network [OSTI]

    Kunkel, Joseph G.

    SHORT COMMUNICATION Rhizobium Nod factors induce increases in intracellular free calcium of Massachusetts, Box 35810, Amherst MA 01003±5810, USA Summary Application of Nod factors to growing, responsive region after 10±15 min treatment with Nod factors. The extracellular Ca2+ ¯ux, detected with the non

  13. Human Factors Aspects of Power System Flow Animation

    E-Print Network [OSTI]

    Human Factors Aspects of Power System Flow Animation Douglas A. Wiegmann, Gavin R. Essenberg experimental results associated with human factors aspects of using animation to display electric power system. Index Terms--Power System Operations and Planning, Power System Visualization, Animation, Human Factors

  14. The Multivariate Merit Factor of a Boolean T. Aaron Gulliver

    E-Print Network [OSTI]

    Parker, Matthew Geoffrey

    The Multivariate Merit Factor of a Boolean Function T. Aaron Gulliver Dept. of Electrical, the multivariate merit factor (MMF) of a Boolean function, is presented, and various infinite recursive quadratic sequence constructions are given for which both uni- variate and multivariate merit factors can be computed

  15. Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination

    E-Print Network [OSTI]

    Zhang, Liqing

    IEEEProof Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination Qibin--CANDECOMP/PARAFAC (CP) tensor factorization of incomplete data is a powerful technique for tensor completion through explicitly capturing the multilinear latent factors. The existing CP algorithms require the tensor rank

  16. Prediction and Informative Risk Factor Selection of Bone Diseases

    E-Print Network [OSTI]

    Buffalo, State University of New York

    --Electronic health records (EHRs); risk factor analysis; integrated feature extraction; risk factor selection1 Prediction and Informative Risk Factor Selection of Bone Diseases Hui Li, Xiaoyi Li, Murali and the overwhelming amount of electronic health records (EHRs) shared by healthcare institutions and practitioners, we

  17. Confinement and the safety factor profile

    SciTech Connect (OSTI)

    Batha, S.H.; Levinton, F.M.; Scott, S.D.

    1995-12-01

    The conjecture that the safety factor profile, q(r), controls the improvement in tokamak plasmas from poor confinement in the Low (L-) mode regime to improved confinement in the supershot regime has been tested in two experiments on the Tokamak Fusion Test Reactor (TFTR). First, helium was puffed into the beam-heated phase of a supershot discharge which induced a degradation from supershot to L-mode confinement in about 100 msec, far less than the current relaxation time. The q and shear profiles measured by a motional Stark effect polarimeter showed little change during the confinement degradation. Second, rapid current ramps in supershot plasmas altered the q profile, but were observed not to change significantly the energy confinement. Thus, enhanced confinement in supershot plasmas is not due to a particular q profile which has enhanced stability or transport properties. The discharges making a continuous transition between supershot and L-mode confinement were also used to test the critical-electron-temperature-gradient transport model. It was found that this model could not reproduce the large changes in electron and ion temperature caused by the change in confinement.

  18. Nucleosome-mediated cooperativity between transcription factors

    E-Print Network [OSTI]

    Leonid A. Mirny

    2009-01-19

    Cooperative binding of transcription factors (TFs) to cis-regulatory regions (CRRs) is essential for precision of gene expression in development and other processes. The classical model of cooperativity requires direct interactions between TFs, thus constraining the arrangement of TFs sites in a CRR. On the contrary, genomic and functional studies demonstrate a great deal of flexibility in such arrangements with variable distances, numbers of sites, and identities of the involved TFs. Such flexibility is inconsistent with the cooperativity by direct interactions between TFs. Here we demonstrate that strong cooperativity among non-interacting TFs can be achieved by their competition with nucleosomes. We find that the mechanism of nucleosome-mediated cooperativity is mathematically identical to the Monod-Wyman-Changeux (MWC) model of cooperativity in hemoglobin. This surprising parallel provides deep insights, with parallels between heterotropic regulation of hemoglobin (e.g. Bohr effect) and roles of nucleosome-positioning sequences and chromatin modifications in gene regulation. Characterized mechanism is consistent with numerous experimental results, allows substantial flexibility in and modularity of CRRs, and provides a rationale for a broad range of genomic and evolutionary observations. Striking parallels between cooperativity in hemoglobin and in transcription regulation point at a new design principle that may be used in range of biological systems.

  19. Human Factors Aspects of Operating Small Reactors

    SciTech Connect (OSTI)

    OHara, J.M.; Higgins, J.; Deem, R.; Xing, J.; DAgostino, A.

    2010-11-07

    The nuclear-power community has reached the stage of proposing advanced reactor designs to support power generation for decades to come. They are considering small modular reactors (SMRs) as one approach to meet these energy needs. While the power output of individual reactor modules is relatively small, they can be grouped to produce reactor sites with different outputs. Also, they can be designed to generate hydrogen, or to process heat. Many characteristics of SMRs are quite different from those of current plants, and so may require a concept of operations (ConOps) that also is different. The U.S. Nuclear Regulatory Commission (NRC) has begun examining the human factors engineering- (HFE) and ConOps- aspects of SMRs; if needed, they will formulate guidance to support SMR licensing reviews. We developed a ConOps model, consisting of the following dimensions: Plant mission; roles and responsibilities of all agents; staffing, qualifications, and training; management of normal operations; management of off-normal conditions and emergencies; and, management of maintenance and modifications. We are reviewing information on SMR design to obtain data about each of these dimensions, and have identified several preliminary issues. In addition, we are obtaining operations-related information from other types of multi-module systems, such as refineries, to identify lessons learned from their experience. Here, we describe the project's methodology and our preliminary findings.

  20. Commissioning of output factors for uniform scanning proton beams

    SciTech Connect (OSTI)

    Zheng Yuanshui; Ramirez, Eric; Mascia, Anthony; Ding Xiaoning; Okoth, Benny; Zeidan, Omar; Hsi Wen; Harris, Ben; Schreuder, Andries N.; Keole, Sameer [ProCure Proton Therapy Center, 5901 West Memorial Road, Oklahoma City, Oklahoma 73142 (United States); ProCure Treatment Centers, 420 North Walnut Street, Bloomington, Indiana 47404 (United States); ProCure Proton Therapy Center, 5901 West Memorial Road, Oklahoma City, Oklahoma 73142 (United States)

    2011-04-15

    Purpose: Current commercial treatment planning systems are not able to accurately predict output factors and calculate monitor units for proton fields. Patient-specific field output factors are thus determined by either measurements or empirical modeling based on commissioning data. The objective of this study is to commission output factors for uniform scanning beams utilized at the ProCure proton therapy centers. Methods: Using water phantoms and a plane parallel ionization chamber, the authors first measured output factors with a fixed 10 cm diameter aperture as a function of proton range and modulation width for clinically available proton beams with ranges between 4 and 31.5 cm and modulation widths between 2 and 15 cm. The authors then measured the output factor as a function of collimated field size at various calibration depths for proton beams of various ranges and modulation widths. The authors further examined the dependence of the output factor on the scanning area (i.e., uncollimated proton field), snout position, and phantom material. An empirical model was developed to calculate the output factor for patient-specific fields and the model-predicted output factors were compared to measurements. Results: The output factor increased with proton range and field size, and decreased with modulation width. The scanning area and snout position have a small but non-negligible effect on the output factors. The predicted output factors based on the empirical modeling agreed within 2% of measurements for all prostate treatment fields and within 3% for 98.5% of all treatment fields. Conclusions: Comprehensive measurements at a large subset of available beam conditions are needed to commission output factors for proton therapy beams. The empirical modeling agrees well with the measured output factor data. This investigation indicates that it is possible to accurately predict output factors and thus eliminate or reduce time-consuming patient-specific output measurements for proton treatments.

  1. LPS-inducible factor(s) from activated macrophages mediates cytolysis of Naegleria fowleri amoebae

    SciTech Connect (OSTI)

    Cleary, S.F.; Marciano-Cabral, F.

    1986-03-01

    Soluble cytolytic factors of macrophage origin have previously been described with respect to their tumoricidal activity. The purpose of this study was to investigate the mechanism and possible factor(s) responsible for cytolysis of the amoeba Naegleria fowleri by activated peritoneal macrophages from B6C3F1 mice. Macrophages or conditioned medium (CM) from macrophage cultures were incubated with /sup 3/H-Uridine labeled amoebae. Percent specific release of label served as an index of cytolysis. Bacille Calmette-Guerin (BCG) and Corynebacterium parvum macrophages demonstrated significant cytolysis of amoebae at 24 h with an effector to target ratio of 10:1. Treatment of macrophages with inhibitors of RNA or protein synthesis blocked amoebicidal activity. Interposition of a 1 ..mu..m pore membrane between macrophages and amoebae inhibited killing. Inhibition in the presence of the membrane was overcome by stimulating the macrophages with LPS. CM from SPS-stimulated, but not unstimulated, cultures of activated macrophages was cytotoxic for amoebae. The activity was heat sensitive and was recovered from ammonium sulfate precipitation of the CM. Results indicate that amoebicidal activity is mediated by a protein(s) of macrophage origin induced by target cell contact or stimulation with LPS.

  2. Nominal Performance Biosphere Dose Conversion Factor Analysis

    SciTech Connect (OSTI)

    Wasiolek, Maryla A.

    2000-12-21

    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.

  3. Dose factor entry and display tool for BNCT radiotherapy

    DOE Patents [OSTI]

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

    1999-01-01

    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).

  4. RSE Table E6.1 and E6.2. Relative Standard Errors for Tables E6.1 and E6.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915 Relative792E6.1

  5. RSE Table E8.1 and E8.2. Relative Standard Errors for Tables E8.1 and E8.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.915

  6. RSE Table N1.1 and N1.2. Relative Standard Errors for Tables N1.1 and N1.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9151 and N1.2.

  7. RSE Table N2.1 and N2.2. Relative Standard Errors for Tables N2.1 and N2.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9151 and N1.2.N2.1

  8. RSE Table N3.1 and N3.2. Relative Standard Errors for Tables N3.1 and N3.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9151 and

  9. RSE Table N4.1 and N4.2. Relative Standard Errors for Tables N4.1 and N4.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9151 andN4.1 and

  10. RSE Table N6.1 and N6.2. Relative Standard Errors for Tables N6.1 and N6.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9151 andN4.1 and1 and

  11. RSE Table N6.3 and N6.4. Relative Standard Errors for Tables N6.3 and N6.4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9151 andN4.1 and1

  12. RSE Table N8.1 and N8.2. Relative Standard Errors for Tables N8.1 and N8.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9151 andN4.1 and11

  13. RSE Table S1.1 and S1.2. Relative Standard Errors for Tables S1.1 and S1.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9151 andN4.1

  14. RSE Table S2.1 and S2.2. Relative Standard Errors for Tables S2.1 and S2.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9151 andN4.1S2.1 and

  15. RSE Table S3.1 and S3.2. Relative Standard Errors for Tables S3.1 and S3.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousanda Oxygenated55,453.9151 andN4.1S2.1

  16. Fractionation studies on the unidentified growth factor(s) in distillers dried solubles 

    E-Print Network [OSTI]

    Dannenburg, Warren Nathaniel

    1955-01-01

    "rltrr ro?v toJ oy itunler urr- . r. roan i ')1, in wn'ch aport it;~ ue. on tr, ited t. iuu whole liver anu dried bre er= yeast ai ?cured to oe . ", o~d s . urces oi tai- l'aCtOr Wnile dried Wiiej, di tiller= dried ~ui Oie-, nid ter. ontat. on s... c: ?ein . ilu . ~@i allan , irotein u' tne, rotein - dice; ? iid . o?cd that it le?t two i'ctur- . . ere required bg tiie cuici. &or og, . imum?io, t i . . )ne factor . ; suyfilied bg liver z ictiun= iii uriod oie, ers yea. . t, while t?= ot...

  17. Prenatal and Perinatal Risk Factors for Autism in China

    E-Print Network [OSTI]

    2010-01-01

    and perinatal risk factors for autism. Journal of PerinatalB. (1979). Viral exposure and autism. American Journal ofage and the risk of autism spectrum disorder. American

  18. Factors driving wind power development in the United States

    E-Print Network [OSTI]

    Bird, Lori A.; Parsons, Brian; Gagliano, Troy; Brown, Matthew H.; Wiser, Ryan H.; Bolinger, Mark

    2003-01-01

    s Largest Purchase of Wind Power,” September 17, 2001.FACTORS DRIVING WIND POWER DEVELOPMENT IN THE UNITED STATESthe United States third in wind power capacity globally,

  19. Electromagnetic form factors and the hypercentral constituent quark model

    SciTech Connect (OSTI)

    Sanctis, M. De; Giannini, M. M.; Santopinto, E.; Vassallo, A.

    2007-12-15

    We present new results concerning the electromagnetic form factors of the nucleon using a relativistic version of the hypercentral constituent quark model and a relativistic current.

  20. Towards large-cohort comparative studies to define the factors...

    Office of Scientific and Technical Information (OSTI)

    Towards large-cohort comparative studies to define the factors influencing the gut microbial community structure of ASD patients Citation Details In-Document Search Title:...

  1. Planar superconducting resonators with internal quality factors above one million

    E-Print Network [OSTI]

    Martinis, John M.

    Planar superconducting resonators with internal quality factors above one million A. Megrant,1,2 C criti- cal elements for superconducting electromagnetic radiation detectors,1 quantum memories,2

  2. Factors influencing photocurrent generation in organic bulk heterojunc...

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

    Factors influencing photocurrent generation in organic bulk heterojunction solar cells: interfacial energetics and blend microstructure April 29, 2009 at 3pm36-428 Jenny Nelson...

  3. Factors Associated with Hepatitis B Testing Among Vietnamese Americans

    E-Print Network [OSTI]

    2010-01-01

    Asian American adults for hepatitis B: a cross-sectionalFactors Associated with Hepatitis B Testing Among VietnameseBACKGROUND: Chronic hepatitis B and hepatitis B- associated

  4. Factors Controlling The Geochemical Evolution Of Fumarolic Encrustatio...

    Open Energy Info (EERE)

    by the chemistry of the ejecta on which the relict encrustations are found. This matrix chemistry factor illustrates that the primary fumarolic minerals surrounding the...

  5. Method for determining formation quality factor from well log...

    Office of Scientific and Technical Information (OSTI)

    determining formation quality factor from well log data and its application to seismic reservoir characterization Citation Details In-Document Search Title: Method for...

  6. Factors governing sustainable groundwater pumping near a river

    E-Print Network [OSTI]

    Zhang, Y.

    2011-01-01

    study the interplay between riverbed clogging and infiltration.study various factors that can potentially impact infiltrationthat affect infiltration processes. Our study is performed

  7. 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...

  8. Analyticity properties and unitarity constraints of heavy meson form factors

    E-Print Network [OSTI]

    De Rafael, E; Eduardo de Rafael; Josep Taron; Rafael, Eduardo de; Taron, Josep

    1994-01-01

    We derive new bounds on the b-number form factor $F(q^2)$ of the B meson. (Revised version of hep-ph/9306214).

  9. A NOTE ON THE FACTORIZATION THEOREM OF TORIC ...

    E-Print Network [OSTI]

    1999-01-20

    In this section, we harvest the fruit “Weak Factorization Theorem” grown upon the tree of the ...... chatov Institute Atomic Energy preprint (1989). [Sumihiro] H.

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

    Office of Environmental Management (EM)

    Life Cycle Cost Analysis, 2013 Energy Price Indices and Discount Factors for Life Cycle Cost Analysis, 2013 Handbook describes the annual supplements to the NIST Handbook 135 and...

  11. Critical Factors Driving the High Volumetric Uptake of Methane...

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

    Critical Factors Driving the High Volumetric Uptake of Methane in Cu-3(btc)(2) Previous Next List Hulvey, Zeric; Vlaisavljevich, Bess; Mason, Jarad A.; Tsivion, Ehud; Dougherty,...

  12. Brain-derived neurotrophic factor rescues synaptic plasticity in a mouse model of fragile X syndrome.

    E-Print Network [OSTI]

    2007-01-01

    in mice lacking brain- derived neurotrophic factor. Procterm potentiation by brain- derived neurotrophic factor. JCM, Simmons DA (2007b) Brain-derived neurotrophic factor

  13. Applying Human Factors to the Design of Performance Tools

    E-Print Network [OSTI]

    Pancake, Cherri M.

    Applying Human Factors to the Design of Performance Tools Cherri M. Pancake Oregon State University Abstract. After two decades of research in parallel tools for perfor- mance tuning, why are users still dissatis ed? This paper outlines the human factors issues that determine how performance tools

  14. Factors influencing digital technology use in early childhood education

    E-Print Network [OSTI]

    Shahriar, Selim

    Factors influencing digital technology use in early childhood education Courtney K. Blackwell extrinsic and intrinsic factors that influence early childhood educators' digital technology use. Survey data from 1234 early childhood educators indicate that attitudes toward the value of technology to aid

  15. Matrix Factorizations for Information Retrieval Dianne P. O'Leary

    E-Print Network [OSTI]

    O'Leary, Dianne P.

    Matrix Factorizations for Information Retrieval Dianne P. O'Leary Computer Science Dept that is predominantly linear algebra · Conclusions A Catalog of Matrix Factorizations c 2006 Dianne P. O'Leary 1 or oscillation · understanding Markov chains c 2006 Dianne P. O'Leary 2 University of Maryland, College Park #12

  16. Scaling factor inconsistencies in neutrinoless double beta decay

    SciTech Connect (OSTI)

    Cowell, S. [Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)

    2006-02-15

    The modern theory of neutrinoless double beta decay includes a scaling factor that has often been treated inconsistently in the literature. The nuclear contribution to the decay half-life can be suppressed by 15%-20% when scaling factors are mismatched. Correspondingly, is overestimated.

  17. Scaling Factor Inconsistencies in Neutrinoless Double Beta Decay

    E-Print Network [OSTI]

    S. Cowell

    2005-12-05

    The modern theory of neutrinoless double beta decay includes a scaling factor that has often been treated inconsistently in the literature. The nuclear contribution to the decay half life can be suppressed by 15-20% when scaling factors are mismatched. Correspondingly, $$ is overestimated.

  18. Journal Diffusion Factors a measure of diffusion? Tove Faber Frandsen

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Journal Diffusion Factors ­ a measure of diffusion? Tove Faber Frandsen Royal School of Library In this paper we show that the measure of diffusion introduced by Ian Rowlands called the Journal Diffusion Factor (JDF) is highly negatively correlated with the number of citations, leading highly cited journals

  19. The Multivariate Merit Factor of a Boolean T. Aaron Gulliver

    E-Print Network [OSTI]

    Parker, Matthew Geoffrey

    The Multivariate Merit Factor of a Boolean Function T. Aaron Gulliver Dept. of Electrical metric, the multivariate merit factor (MMF) of a Boolean function, is presented, and various infinite recursive quadratic sequence constructions are given for which both uni­ variate and multivariate merit

  20. Implementing the Elliptic Curve Method of Factoring in Reconfigurable Hardware

    E-Print Network [OSTI]

    Gaj, Krzysztof

    Bachimanchi1 1 Dept. of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia 22030-exponential factoring algorithm, with expected run time of O(exp(c log p log log p) M(N)) where c > 0, p is a factor we aim to find, and M(N) denotes the cost of multiplication (mod N). ECM is the best method to perform