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


1

Characteristics RSE Column Factor: Total  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522. U.S. Vehicles by Model1.

2

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 Office of Inspector GeneralDepartmentAUDIT REPORTOpenWende New EnergyAnatolia Jump to: navigation, searchRRB EnergyRSE

3

Profils des entreprises en matire de RSE et innovation technologique  

E-Print Network [OSTI]

la nature de la relation entre la Responsabilité Sociale des Entreprises (RSE) et l'innovation : Innovation, PME, Responsabilité Sociale des Entreprises (RSE) Rachel BOCQUET - Caroline MOTHE hal-00950166 : Corporate Social Responsibility (CSR), Innovation, SME's hal-00950166,version1-25Feb2014 #12;3 Introduction

Boyer, Edmond

4

Characteristics RSE Column Factor: All Vehicle Types  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522. U.S. Vehicles by Model

5

homeoffice_household2001.pdf  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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...

6

Intemodal Equipment Ron Sucik RSE Consulting  

E-Print Network [OSTI]

Constitution with exclusive charge of the operations, administration, management, preservation, maintenance. BAF ­ Bunker Adjustment Factor: Additional charge levied on the shippers to compensate: A warehouse or other specialized building, often with refrigeration or air conditioning, which is used

Bustamante, Fabián E.

7

Characteristics RSE Column Factor: All Model Years Model Year  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522. U.S. Vehicles by Model Year,

8

Characteristics RSE Column Factor: Households with Children Households Without Children  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998 10,643 10,998 10,998 10,64397 272 522. U.S. Vehicles by Model1. U.S.

9

Row fault detection system  

DOE Patents [OSTI]

An apparatus, program product and method check for nodal faults in a row of nodes by causing each node in the row to concurrently communicate with its adjacent neighbor nodes in the row. The communications are analyzed to determine a presence of a faulty node or connection.

Archer, Charles Jens (Rochester, MN); Pinnow, Kurt Walter (Rochester, MN); Ratterman, Joseph D. (Rochester, MN); Smith, Brian Edward (Rochester, MN)

2012-02-07T23:59:59.000Z

10

Une analyse des liens entre types de Green IT et stratgies RSE  

E-Print Network [OSTI]

: France (2013)" #12;ABSTRACT This communication addresses the issue of the adoption of green technologiesUne analyse des liens entre types de Green IT et stratégies RSE An analysis of links between Green/INSTEAD (Luxembourg), CREM R?SUM? Cette communication aborde la question de l'adoption des technologies vertes ou

Boyer, Edmond

11

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

E-Print Network [OSTI]

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

Cal, Mark P.

12

Stability of tube rows in crossflow. [LMFBR  

SciTech Connect (OSTI)

A mathematical model for the instability of tube rows subjected to crossflow is examined. The theoretical model, based on the fluid-force data for a pitch-to-diameter ratio of 1.33, provides additional insight into the instability phenomenon. Tests are also conducted for three sets of tube rows. The effects of mass ratio, tube pitch, damping, detuning and finned tubes are investigated. Theoretical results and experimental data are in good agreement.

Chen, S.S.; Jendrzejczyk, J.A.

1982-10-01T23:59:59.000Z

13

Publications by Timothy Rowe February 25, 2008  

E-Print Network [OSTI]

Digital Library: www.DigiMorph.org High-Resolution X-ray CT Facility: www.ctlab.geo.utexas.edu Vertebrate: Digital Atlas of the Skull. CD-ROM (Second Edition, for Windows and Macintosh platforms), University.0, October 1994. Rowe, T., W. Carlson, and W. Bottorff. 1993. Thrinaxodon: Digital Atlas of the Skull. CD

Yang, Zong-Liang

14

Effects of various inefficiencies in rowing on shell speed  

E-Print Network [OSTI]

First order predictions were made in determining the effects of various sources of inefficiency in rowing on shell speed. These predictions were then tested using a MATLAB model of the rowing stroke. The model simulates ...

Young, Stephen F., Jr

2009-01-01T23:59:59.000Z

15

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 Home5b9fcbce19 NoPublic Utilities Address: 160Benin: EnergyBoston Areais3: Crystalline Rock -COPPE Incubator JumpISES-Forms JumpROW

16

Globally Optimal Solutions for Large Single-Row Facility Layout ...  

E-Print Network [OSTI]

May 22, 2006 ... This paper is concerned with the single-row facility layout problem (SRFLP). ...... and ATLAS software used to obtain the computational results.

2006-05-22T23:59:59.000Z

17

DEMONSTRATION RANK VIA THE SVD AND ROW ECHELON FORM  

E-Print Network [OSTI]

OUTLINES DEMONSTRATION RANK VIA THE SVD AND ROW ECHELON FORM TWO TWISTS AND A TEST NUMERICAL RANK VIA THE SVD AND ROW ECHELON FORM TWO TWISTS AND A TEST NUMERICAL RESULTS CONCLUSIONS GOAL rank construct a basis for the null space. LESLIE FOSTER MATHEMATICS SAN JOSE STATE UNIVERSITY FOSTER

Foster, Leslie

18

Instability characteristics of fluidelastic instability of tube rows in crossflow  

SciTech Connect (OSTI)

An experimental study is reported to investigate the jump phenomenon in critical flow velocities for tube rows with different pitch-to-diameter ratios and the excited and intrinsic instabilities for a tube row with a pitch-to-diameter ratio of 1.75. The experimental data provide additional insights into the instability phenomena of tube arrays in crossflow. 9 refs., 10 figs.

Chen, S.S.; Jendrzejczyk, J.A.

1986-04-01T23:59:59.000Z

19

2003 CBECS RSE Tables  

Gasoline and Diesel Fuel Update (EIA)

Dec 2006 Next CBECS will be conducted in 2007 Standard error is a measure of the reliability or precision of the survey statistic. The value for the standard error can be used...

20

2003 CBECS RSE Tables  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion Cubic Feet)WyomingSquareEnd-Use Equipment 2002

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


21

Optimization of row spacing and nitrogen fertilization for cotton  

E-Print Network [OSTI]

rows. One recommendation is to achieve between 247,100 to 395,360 plants per hectare for UNR cotton (BASF Corporation, 1999). In conventional cotton 74,176 to 123,550 plants per hectare has been recommended in California (Hake et al., 1996a... recommendation, not directed toward a particular state, is 247,097 to 395,355 plants ha-1 (BASF, 1999). The 76-cm row spacing plant population means in this study fell within the recommendations for conventional rows, and the 19-cm means were within...

Clawson, Ernest Leslie

2004-09-30T23:59:59.000Z

22

Optimization Online - Simultaneous Column-and-Row Generation ...  

E-Print Network [OSTI]

Nov 14, 2010 ... Abstract: In this paper, we develop a simultaneous column-and-row generation algorithm that could be applied to a general class of large-scale...

Ibrahim Muter

2010-11-14T23:59:59.000Z

23

untitled  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.5 1.7 1.5 2.2 Total...

24

Row Buffer Locality Aware Caching Policies for Hybrid Memories  

E-Print Network [OSTI]

strengths A hybrid memory system (DRAM-PCM) aims for best of both Problem: How to place data between static energy (no refresh) 6 DRAM PCM CPU MC MC #12;Hybrid Memory Design direction: DRAM as a cache memory devices? 8 DRAM PCM CPU MC MC #12;Outline Background: Hybrid Memory Systems Motivation: Row

25

FINDING ROWS OF PEOPLE IN GROUP IMAGES Andrew C. Gallagher  

E-Print Network [OSTI]

People are among the most popular subjects in photography, and in many social settings, images of groupsFINDING ROWS OF PEOPLE IN GROUP IMAGES Andrew C. Gallagher Carnegie Mellon University Department of people are captured. People often arrange themselves in a very struc- tured manner in these group images

Chen, Tsuhan

26

RowClone: Fast and Energy-Efficient In-DRAM Bulk Data Copy and Initialization  

E-Print Network [OSTI]

RowClone: Fast and Energy-Efficient In-DRAM Bulk Data Copy and Initialization Processor MemoryChannel Limited bandwidth High energy Carnegie Mellon University Intel Pittsburgh #12;RowClone: Fast and Energy-Efficient University Intel Pittsburgh #12;RowClone: Fast and Energy-Efficient In-DRAM Bulk Data Copy and Initialization

27

The French codes RCC-M and RSE-M -- Design, construction and in-service inspection rules for the mechanical components of PWR nuclear islands: An overview and a comparison to the ASME codes  

SciTech Connect (OSTI)

The RCC-M, ``Regles de Conception et de Construction des Materiels Mecaniques des Ilots Nucleaires REP`` or, in English, ``Design and Construction Rules for the Mechanical Components of PWR Nuclear Islands`` and the RSE-M, ``Regles de Surveillance en Exploitation des Materiels Mecaniques des Ilots Nucleaires REP`` or, in English, ``In-Service Inspection Rules for the Mechanical Components of PWR Nuclear Islands`` gather all design, construction and operating practices relating to the mechanical components of French PWR nuclear islands. This paper is a presentation of these two codes. Throughout this presentation the specific aspects of the French approach will be underlined and will be compared to that of the ASME codes--mainly Section 3 and Section 11. The broad general technical scopes of the French codes are similar to those of the ASME codes. However, in some important areas of design, material specifications, procurement and manufacturing, the provisions of the RCC-M and RSE-M deviate from those of a strict mechanical Code and are more self-sustaining than those of ASME.

Journet, J.; Masson, S.H.; Morel, A.; Remond, A.; Grandemange, J.M.

1995-12-01T23:59:59.000Z

28

Installing a Subsurface Drip Irrigation System for Row Crops  

E-Print Network [OSTI]

. The manifold can be placed at the soil surface or buried. B-6151 7/04 Installing a Subsurface Drip Irrigation System for Row Crops Juan Enciso* *Assistant Professor and Extension Agricultural Engineer, The Texas A&M University System. Figure 1. Typical layout... of a drip irrigation system. Main Field block Flushing valve Valve Flushing manifold Water source Supplying manifold Lateral Tape injection The injector consists of a roll that holds the tape and a shank that opens the soil to bury the tape (Figs. 3...

Enciso, Juan

2004-09-07T23:59:59.000Z

29

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 Home5b9fcbce19 NoPublicIDAPowerPlantSitingConstruction.pdfNotify98.pdf Jump to:Siting.pdf Jump to: navigation, searchUtilityROW.pdf

30

Simultaneous Column-and-Row Generation for Large-Scale Linear ...  

E-Print Network [OSTI]

Abstract: In this paper, we develop a simultaneous column-and-row generation algorithm ..... The last assumption does also hold because the linking constraint.

Birbil

2012-04-23T23:59:59.000Z

31

Section 4.6 Rank The set of all linear combinations of the row vectors of a matrix A is called the row space of A and  

E-Print Network [OSTI]

Section 4.6 Rank The set of all linear combinations of the row vectors of a matrix A is called # of nonpivot columns of A. DEFINITION The rank of A is the dimension of the column space of A. rank A dim Col A # of pivot columns of A dim Row A . rank A dim Nul A N n # of pivot columns of A # of nonpivot columns

Belykh, Igor

32

Clamping of Solid Tungsten Components for the Bulk W Divertor Row in JET Precautionary Design for a Brittle Material  

E-Print Network [OSTI]

Clamping of Solid Tungsten Components for the Bulk W Divertor Row in JET Precautionary Design for a Brittle Material

33

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

34

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

E-Print Network [OSTI]

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 ...

Mertens, Paul Gustaaf

1971-01-01T23:59:59.000Z

35

Microsoft Word - CX-Pearl-Keeler_ROW_Marking_10June2013  

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

location of the ROW centerline and monument the centerline with 3.25-inch- diameter aluminum caps set flush with the ground on 0.62-inch- diameter by 18-inch-long rebar. These...

36

E-Print Network 3.0 - alternate row placement Sample Search Results  

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

Andrew E. Caldwell, Andrew B. Kahng and Igor L. Markov Summary: ,abk,imarkovg@cs.ucla.edu Abstract This work focuses on congestion-driven placement of standard cells into rows in...

37

Fact #777: April 29, 2013 For the Second Year in a Row, Survey...  

Energy Savers [EERE]

777: April 29, 2013 For the Second Year in a Row, Survey Respondents Consider Fuel Economy Most Important When Purchasing a Vehicle Fact 777: April 29, 2013 For the Second...

38

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

E-Print Network [OSTI]

annulus simulations to investigate the physics involved in the rotor bow shock interaction with a highly loaded upstream blade row and its eect on the compressor. Three dierent axial spacings between the rotor

Cincinnati, University of

39

Multi-Dimensional Stiffness Characteristics of Double Row Angular Contact Ball Bearings and Their Role in Influencing Vibration Modes.  

E-Print Network [OSTI]

?? A new analytical stiffness model for the double row angular contact ball bearings is proposed since the current methods do not provide stiffness matrix (more)

Gunduz, Aydin

2012-01-01T23:59:59.000Z

40

Effects of row spacing, seed rate and maturity group on late planted soybean under irrigated and dryland  

E-Print Network [OSTI]

to decrease. This purpose of this study is determine the best planting strategies in regards to row spacing. Edwardsville, KS). Plots with 7.5 and 15 in row spacing were planted with a Great Plains Drill model 3P600, and pest management practices were conducted according to Oklahoma State University recommended practices

Balasundaram, Balabhaskar "Baski"

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


41

Rows of ATP Synthase Dimers in Native Mitochondrial Inner Membranes Nikolay Buzhynskyy,* Pierre Sens,y  

E-Print Network [OSTI]

Rows of ATP Synthase Dimers in Native Mitochondrial Inner Membranes Nikolay Buzhynskyy,* Pierre Marseille, France ABSTRACT The ATP synthase is a nanometric rotary machine that uses a transmembrane electrochemical gradient to form ATP. The structures of most components of the ATP synthase are known, andtheir

Sens, Pierre

42

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

E-Print Network [OSTI]

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

Thole, Karen A.

43

MOVEMENT OF FEMALE WHITE-TAILED DEER: EFFECTS OF CLIMATE AND INTENSIVE ROW-CROP AGRICULTURE  

E-Print Network [OSTI]

1099 MOVEMENT OF FEMALE WHITE-TAILED DEER: EFFECTS OF CLIMATE AND INTENSIVE ROW-CROP AGRICULTURE in intensively (>80%) cultivated areas. From January 2001 to August 2002, we monitored movements of 77 (61 adult of seasonal migration, whereas crop emergence and harvest had minimal effects. Four deer (8%) dispersed a mean

44

SOUTHWEST COTTON HARVEST AID PERFORMANCE AND NARROW ROW OPTIONS Wayne Keeling  

E-Print Network [OSTI]

SOUTHWEST COTTON HARVEST AID PERFORMANCE AND NARROW ROW OPTIONS Wayne Keeling Texas Agricultural Experiment Station Lubbock, TX Abstract Cotton is produced in the Southwest (Texas and Oklahoma) under a wide in rainfall and availability of irrigation, yields may range from 1250 lb/A. Cotton is harvested

Mukhtar, Saqib

45

High Fidelity Modeling of Blade Row Interaction in a Transonic Compressor  

E-Print Network [OSTI]

the physics involved in the rotor bow shock interaction with a highly loaded upstream blade row and its eect of this additional loss. At close spacing the rotor bow shock was chopped by the wake generator trailing edge spacing the rotor bow shock degenerated into a bow wave before it interacted with the stator trailing edge

Cincinnati, University of

46

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

E-Print Network [OSTI]

coefficient (k) in cotton (Gossypium hirsutum). Treatments consisted of four row spacings (0.19-m, 0.38-m, 0.76-m, and 1.00-m) and four plant densities [148, 222, 296, 445 (1998) and 371 (1999) thousand plants ha-1] with each treatment replicated three times...

Steglich, Evelyn Marie

2000-01-01T23:59:59.000Z

47

An Economic Comparison of Conventional and Narrow-Row Cotton Production--Southern Plains of Texas.  

E-Print Network [OSTI]

JUN ~ 3 1977 Texas A&M University June 19' An Economic Comparison of Coventional and Narrow-Row -- Cotton Production-Southern High Plains of Texas The Texas Agricultural Experiment Station, J. E. Miller, Director' The Texas A&M University.... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 4 Yield Comparisons .......................................... 4 Differences in Inputs Used ............... :................... 6 Fertil izer and Irrigation Inputs . . .......................... 6 Seeding rate...

Young, Kenneth B.; Adams, James R.

1977-01-01T23:59:59.000Z

48

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

E-Print Network [OSTI]

. Comparison of LAPP means for three hybrids under four population levels. 26 P = PIONEER 3I47 F = FUNK S G 4507 7&000 Tx = TEXAS 40 E 6000 V Q. n cC Tx Tx F 5, 000 F 4, 500 67. 7 IOI. 6 ROW SPACING ( cm ) Fig, 2. Comparison of LAPP means... 4 . Number of days to silk for three hybrids under two row spacings. 18 5. Plant heights, in cm, for three hybrids under four population levels. 20 6. Plant heights, in cm, for three hybrids under two row spacings. 20 7. Ear heights, in cm...

Silapapun, Anek

2012-06-07T23:59:59.000Z

49

Experiment and analysis of instability of tube rows subject to liquid crossflow. [LMFBR  

SciTech Connect (OSTI)

A tube array subjected to crossflow may become unstable by either one or both of the two basic mechanisms: velocity mechanism and displacement mechanism. The significance of these two mechanisms depends on the mass-damping parameter. The velocity mechanism is dominant for tube arrays with a low mass-damping parameter, and the displacement mechanism is dominant for tube arrays with a high mass-damping parameter. This report presents an experimental and analytical investigation of tube rows in liquid crossflow. The main objective is to verify a mathematical model and the transition between the two mechanisms at the intermediate values of mass-damping parameter. Tests of two tube rows are conducted to determine the critical flow velocity as a function of system damping. Experimental and analytical results are found to be in good agreement.

Chen, S.S.; Jendrzejczyk, J.A.

1981-09-01T23:59:59.000Z

50

DisClose: Discovering Colossal Closed Itemsets via a Memory Efficient Compact Row-Tree  

SciTech Connect (OSTI)

Itemset mining has recently focused on discovery of frequent itemsets from high-dimensional datasets with relatively few rows and a larger number of items. With exponentially in-creasing running time as average row length increases, mining such datasets renders most conventional algorithms impracti-cal. Unfortunately, large cardinality closed itemsets are likely to be more informative than small cardinality closed itemsets in this type of dataset. This paper proposes an approach, called DisClose, to extract large cardinality (colossal) closed itemsets from high-dimensional datasets. The approach relies on a memory-efficient Compact Row-Tree data structure to represent itemsets during the search process. The search strategy explores the transposed representation of the dataset. Large cardinality itemsets are enumerated first followed by smaller ones. In addition, we utilize a minimum cardinality threshold to further reduce the search space. Experimental result shows that DisClose can complete the extraction of colossal closed itemsets in the considered dataset, even for low support thresholds. The algorithm immediately discovers closed itemsets without needing to check if each new closed itemset has previously been found.

Zulkurnain, Nurul F.; Keane, John A.; Haglin, David J.

2013-02-01T23:59:59.000Z

51

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

SciTech Connect (OSTI)

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.

Weaver, Phyllis C

2013-12-12T23:59:59.000Z

52

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

E-Print Network [OSTI]

effect on percent of plants surviving 4 weeks after cutting at College Station. . 105 62. 64 65. Effect of row spacing on percent of surviving plants of ATx378 x TAM428 and ATx378 x Tx2536 at College Station, 4 weeks after cutting . . . . 106... TAM428 and ATx378 x Tx2536 4 weeks after cutting . . . . 110 Number of reporductive tillers per unit area in the ratoon at College Station Effect of population on number of reproductive tillers in the ratoon for the combined loca- t. 1ons . 111...

Priwin A., Ricardo A

2012-06-07T23:59:59.000Z

53

Influence of row spacing on performance of short-season cotton genotypes  

E-Print Network [OSTI]

. Hand har- vests were made at 121, 137, and 174 days after planting (DAP) on 1 Mention of commercial products or trade names is for identifica- tion only and does not imply endorsement by the author or Texas A&M University. 15 3-m row sections.../ha. Percentage maturity was determined at 121 ard 137 days after planting. At each date, differences among spacing treatments were non-significant. Genotype differences were significant at both dates; at 121 DAP, the long-season check variety (genotype 10...

Abreu, Jose?

2012-06-07T23:59:59.000Z

54

Spacing of Rows in Corn and Its Effect Upon Grain Yield.  

E-Print Network [OSTI]

, was added as a third distribution. The results for the five-year period are shown in the follnn.ing table. S,PACING ROWS IN CORN AND EFFECT UPON GRAIN YIELD 9 hould be pointed out that the low ~ield from the six-foot spacing I2 mss, undouhteclly, due... comparable. It is noticeable that the grain yield each pear is consistently in favor of the three-foot spacing, as is also the average for the whole period of five years. These results indicate that the actual yield in grain secure:l from the three-foot...

Conner, A. B. (Arthur Benjamin)

1918-01-01T23:59:59.000Z

55

Determination of the Number of Tube Rows to Obtain Closure for Volume Averaging Theory Based Model of Fin-and-Tube Heat Exchangers  

E-Print Network [OSTI]

Fig. 3 Journal of Heat Transfer Grid system for 2-row caseDomain and Grid System. Since the fin-and- tube heat

Zhou, Feng; Hansen, Nicholas E; Geb, David J; Catton, Ivan

2011-01-01T23:59:59.000Z

56

Core design study of a supercritical light water reactor with double row fuel rods  

SciTech Connect (OSTI)

An equilibrium core for supercritical light water reactor has been designed. A novel type of fuel assembly with dual rows of fuel rods between water rods is chosen and optimized to get more uniform assembly power distributions. Stainless steel is used for fuel rod cladding and structural material. Honeycomb structure filled with thermal isolation is introduced to reduce the usage of stainless steel and to keep moderator temperature below the pseudo critical temperature. Water flow scheme with ascending coolant flow in inner regions is carried out to achieve high outlet temperature. In order to enhance coolant outlet temperature, the radial power distributions needs to be as flat as possible through operation cycle. Fuel loading pattern and control rod pattern are optimized to flatten power distribution at inner regions. Axial fuel enrichment is divided into three parts to control axial power peak, which affects maximum cladding surface temperature. (authors)

Zhao, C.; Wu, H.; Cao, L.; Zheng, Y. [School of Nuclear Science and Technology, Xi'an Jiaotong Univ., No. 28, Xianning West Road, Xi'an, ShannXi, 710049 (China); Yang, J.; Zhang, Y. [China Nuclear Power Technology Research Inst., Yitian Road, ShenZhen, GuangDong, 518026 (China)

2012-07-01T23:59:59.000Z

57

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, Menlo Park, California, U.S.A. Flora Giudicepietro, Osservatorio Vesuviano, Naples, Italy Richard: Dr. Charlotte Rowe EES-11, M.S. D-408 Los Alamos National Laboratory Los Alamos, new Mexico 87545 U

Rowe, Charlotte

58

Jeffrey R. Row Environment and Resource Studies, University of Waterloo, Waterloo, Ontario, Canada, N2L 3G1  

E-Print Network [OSTI]

, N2L 3G1 Website: http://jeffrow.ca · Email: jeff.row@me.com · Phone: 1-416-399-3066 1 Education 2006 and population structure of foxsnakes across spatial and temporal scales. 2003-2005 M.Sc. Biology, University (Lampropeltis triangulum). 1997-2001 B.Sc. Environmental Biology, Queen's University, Kingston, Ontario. 2

Row, Jeffrey R.

59

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

SciTech Connect (OSTI)

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.

Sylvain, D.C.

1996-10-01T23:59:59.000Z

60

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

SciTech Connect (OSTI)

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.

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)

2014-06-28T23:59:59.000Z

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


61

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

DOE Patents [OSTI]

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.

He, J.; Rote, D.M.

1996-05-21T23:59:59.000Z

62

The effects of agricultural land use patterns on pollutant runoff from watersheds: rangeland/pastureland and row cropping  

E-Print Network [OSTI]

M University in partial fu! fillment of the requirements for the degree of MASTER OF AGRICULTURE December 1995 Rangeland Ecology and Management Range Science THE EFFECTS OF AGRICULTURAL LAND USE PATTERNS ON POLLUTANT RUNOFF FROM WATERSHEDS: RANGELAND.../PASTUREI ttND AND ROW CROPPING A PROFESSIONAL PAPER by Andrew A. Jayne IV Approved as to style and content by: Way T. amilton (Committee Chair) Thomas L. Thurow (Member) Robert D. Baker (Member) Robert Whitson (Department Head) December 1995...

Jayne, Andrew A.

1995-01-01T23:59:59.000Z

63

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

E-Print Network [OSTI]

University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE December 1981 Major Subject: Soil Science EFFECT OF TILLAGE SYSTEMS, ROW CONFIGURATION-SPACING AND PLANT POPULATION ON SOIL PHYSICAL PROPERTIES& EVAPOTRANSPIRATION... Configuration-Spacing and Plant. Popular. ion on Soil Physical Properties, Evapotranspiration and Dryland Sorghum Yields. (December 1981). Jaime Roel Salinas-Garcfa, B. S. , Universidad Autdnoma de Nuevo Leon, Mexico. Co-Chairmen of Advisory Committee: Dr...

Salinas-Garcia, Jaime Roel

1981-01-01T23:59:59.000Z

64

Factors Affecting the Performance of Mechanical Cotton Harvesters (Stripper Type), Extractors and Cleaners.  

E-Print Network [OSTI]

TEXAS AGRICULTURAL EXPERIMENT STATION R. D. LEWIS. DIRECTOR College Station, Texas ULLETIN NO. 686 DECEMBER, 1946 FACTORS AFFECTING THE PERFORMANCE OF MECHANICAL COTTON HARVESTERS (STRIPPER TYPE), EXTRACTORS AND CLEANERS H. P. SMITH, D. T... stripping machines during the past five years. Several concerns are now building two-row tractor mounted machines for the commercial trade. The performance of the stripper type cotton harvester is influenced by a number of factors, Tests to determine...

Jones, D. L. (Don L.); Killough, D. T. (David Thornton); Smith, H. P. (Harris Pearson)

1946-01-01T23:59:59.000Z

65

Directed modified Cholesky factorizations and convex quadratic ...  

E-Print Network [OSTI]

Jul 3, 2014 ... ANN if N = ?,. Ak ? Rn?k+1 otherwise. Let j denote the index of the pivot element in Ak; exchange row j with the first row and column j with the...

2014-07-03T23:59:59.000Z

66

Patient radiation dose in prospectively gated axial CT coronary angiography and retrospectively gated helical technique with a 320-detector row CT scanner  

SciTech Connect (OSTI)

Purpose: The aim of this study was to evaluate radiation dose to patients undergoing computed tomography coronary angiography (CTCA) for prospectively gated axial (PGA) technique and retrospectively gated helical (RGH) technique. Methods: Radiation doses were measured for a 320-detector row CT scanner (Toshiba Aquilion ONE) using small sized silicon-photodiode dosimeters, which were implanted at various tissue and organ positions within an anthropomorphic phantom for a standard Japanese adult male. Output signals from photodiode dosimeters were read out on a personal computer, from which organ and effective doses were computed according to guidelines published in the International Commission on Radiological Protection Publication 103. Results: Organs that received high doses were breast, followed by lung, esophagus, and liver. Breast doses obtained with PGA technique and a phase window width of 16% at a simulated heart rate of 60 beats per minute were 13 mGy compared to 53 mGy with RGH technique using electrocardiographically dependent dose modulation at the same phase window width as that in PGA technique. Effective doses obtained in this case were 4.7 and 20 mSv for the PGA and RGH techniques, respectively. Conversion factors of dose length product to the effective dose in PGA and RGH were 0.022 and 0.025 mSv mGy{sup -1} cm{sup -1} with a scan length of 140 mm. Conclusions: CTCA performed with PGA technique provided a substantial effective dose reduction, i.e., 70%-76%, compared to RGH technique using the dose modulation at the same phase windows as those in PGA technique. Though radiation doses in CTCA with RGH technique were the same level as, or some higher than, those in conventional coronary angiography (CCA), the use of PGA technique reduced organ and effective doses to levels less than CCA except for breast dose.

Seguchi, Shigenobu; Aoyama, Takahiko; Koyama, Shuji; Fujii, Keisuke; Yamauchi-Kawaura, Chiyo [Graduate School of Medicine, Nagoya University, Daikominami, Higashi-ku, Nagoya 461-8673 (Japan) and Department of Medical Technology, Nagoya Daini Red Cross Hospital, Myouken-chou, Showa-ku, Nagoya 466-8650 (Japan); Graduate School of Medicine, Nagoya University, Daikominami, Higashi-ku, Nagoya 461-8673 (Japan); Section of Radiological Protection, National Institute of Radiological Sciences, Anagawa, Inage-ku, Chiba 263-8555 (Japan); Graduate School of Medicine, Nagoya University, Daikominami, Higashi-ku, Nagoya 461-8673 (Japan)

2010-11-15T23:59:59.000Z

67

1 Copyright 2011 by ASME FLOWFIELD MEASUREMENTS IN A SINGLE ROW OF  

E-Print Network [OSTI]

for cooling the trailing edge of gas turbine airfoils. While much research has been devoted to the heat D pin-fin diameter Dh hydraulic diameter f friction factor fk vortex shedding frequency fo baseline value INTRODUCTION Modern gas turbine engines operate with turbine inlet temperatures exceeding

Thole, Karen A.

68

Heat transfer from combustion gases to a single row of closely spaced tubes in a swirl crossflow Stirling engine heater  

SciTech Connect (OSTI)

This paper describes an experimental program to determine the heat-transfer characteristics of a combustor and heat-exchange system in a hybrid solar receiver which utilizes a Stirling engine. The system consists of a swirl conbustor with a crossflow heat exchanger composed of a single row of 48 closely spaced curved tubes. In the present study, heat-transfer characteristics of the combustor/heat-exchanger system without a Stirling engine have been studied over a range of operating conditions and output levels using water as the working fluid. Non-dimensional heat-transfer coefficients based on total heat transfer have been obtained and are compared with available literature data. The results show significantly enhanced heat transfer for the present geometry and test conditions. Also, heat transfer along the length of the tubes is found to vary, the effect depending upon test condition.

Bankston, C.P.; Back, L.H.

1982-02-01T23:59:59.000Z

69

ROW BY ROW METHODS FOR SEMIDEFINITE PROGRAMMING ...  

E-Print Network [OSTI]

Apr 28, 2009 ... form a positive definite mm matrix M, where m is the number of constraints in ..... partition the vertices of a graph into two sets so that the sum of the ...... were written in C Language MEX-files in MATLAB (Release 7.3.0), and...

2009-04-28T23:59:59.000Z

70

Row by row methods for semidefinite programming  

E-Print Network [OSTI]

Apr 28, 2009 ... ... is supported by the Mathematical Programming Society and by the Optimization Technology Center. Mathematical Programming Society.

Zaiwen Wen

2009-04-28T23:59:59.000Z

71

2003 Commercial Buildings Energy Consumption - What is an RSE  

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

with some associated error in each direction. The standard error is a measure of the reliability or precision of the survey statistic. The value for the standard error can be used...

72

2003 Commercial Buildings Energy Consumption - What is an RSE  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion Cubic Feet)WyomingSquareEnd-Use Equipment 2002Technical2003

73

Re: NBP RFI: CommunicationRse quirements | Department of Energy  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergy 0611__Joint_DOE_GoJ_AMS_Data_v3.pptx More DocumentsCommunications Requirements of

74

ABOUT THE TALK: Has anyone ever put the whole picture of Cannery Row, Monterey, together for you? Don't feel alone if that's the case. ere are few resources easily accessed to get to it all. e PowerPoint archival photographic  

E-Print Network [OSTI]

PowerPoint archival photographic historical presentation by Cannery Row historian Michael Kenneth Hemp: Berkeley born and UC Educated, Michael Kenneth Hemp became Cannery Row's career historian in a scenario Friends at (831) 771-4464 PHOTO BY RALPH W. SCHARDT An evening with Cannery Row Historian Michael Hemp

McPhee-Shaw, Erika

75

Accelerated Gibbs Sampling for Infinite Sparse Factor Analysis  

SciTech Connect (OSTI)

The Indian Buffet Process (IBP) gives a probabilistic model of sparse binary matrices with an unbounded number of columns. This construct can be used, for example, to model a fixed numer of observed data points (rows) associated with an unknown number of latent features (columns). Markov Chain Monte Carlo (MCMC) methods are often used for IBP inference, and in this technical note, we provide a detailed review of the derivations of collapsed and accelerated Gibbs samplers for the linear-Gaussian infinite latent feature model. We also discuss and explain update equations for hyperparameter resampling in a 'full Bayesian' treatment and present a novel slice sampler capable of extending the accelerated Gibbs sampler to the case of infinite sparse factor analysis by allowing the use of real-valued latent features.

Andrzejewski, D M

2011-09-12T23:59:59.000Z

76

Power Factor Compensation (PFC) Power Factor Compensation  

E-Print Network [OSTI]

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

Knobloch,Jürgen

77

4.8 Row Space  

E-Print Network [OSTI]

Feb 16, 2007 ... For Problems 2631, find the change-of-basis matrix PB?C from the given basis C to the given basis B of the vector space V . 26. V , B, and C...

PRETEX (Halifax NS) #1 1054 1999 Mar 05 10:59:16

2010-02-12T23:59:59.000Z

78

Katherine Rowe September 29, 2006  

E-Print Network [OSTI]

as a parking/traffic area and to manage stormwater. Components & Function There are several types of porous of open-graded gravel and crushed stone (EPA, Sept. 1999). This base serves as a reservoir for stormwater from moving into the soil bed. Essentially, "porous pavement infiltrates and treats rainwater where

Rosemond, Amy Daum

79

Power Factor Improvement  

E-Print Network [OSTI]

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

Viljoen, T. A.

1979-01-01T23:59:59.000Z

80

Meson electromagnetic form factors  

E-Print Network [OSTI]

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

Stanislav Dubnicka; Anna Z. Dubnickova

2012-10-23T23:59:59.000Z

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


81

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

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Careerlumens_placard-green.epsEnergy1.pdfMarket37963American |Purpose01/05/14RPAM Training

82

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.9061 Relative

83

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.9061

84

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.90610

85

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.906101

86

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.9061012

87

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.90610123

88

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.906101232.1

89

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.906101232.11

90

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End Users55,453.906101232.112

91

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End

92

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard Errors

93

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard

94

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard1

95

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard12

96

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard124

97

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard1245

98

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard12456

99

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard124567

100

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative Standard1245678

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


101

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative

102

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative

103

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative4

104

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative45

105

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative456

106

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative4567

107

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative45679

108

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3 Relative456792

109

FGF growth factor analogs  

DOE Patents [OSTI]

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.

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

2012-07-24T23:59:59.000Z

110

Multi-factor authentication  

DOE Patents [OSTI]

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

Hamlet, Jason R; Pierson, Lyndon G

2014-10-21T23:59:59.000Z

111

Factors Affecting Photosynthesis!  

E-Print Network [OSTI]

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

Kudela, Raphael M.

112

Public Health FAT FACTORS  

E-Print Network [OSTI]

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

Qian, Ning

113

Nucleon Electromagnetic Form Factors  

SciTech Connect (OSTI)

There has been much activity in the measurement of the elastic electromagnetic proton and neutron form factors in the last decade, and the quality of the data has greatly improved by performing double polarization experiments, in comparison with previous unpolarized data. Here we review the experimental data base in view of the new results for the proton, and neutron, obtained at JLab, MAMI, and MIT-Bates. The rapid evolution of phenomenological models triggered by these high-precision experiments will be discussed, including the recent progress in the determination of the valence quark generalized parton distributions of the nucleon, as well as the steady rate of improvements made in the lattice QCD calculations.

Marc Vanderhaeghen; Charles Perdrisat; Vina Punjabi

2007-10-01T23:59:59.000Z

114

Safety-factor profile tailoring by improved electron cyclotron system for sawtooth control and reverse shear scenarios in ITER  

SciTech Connect (OSTI)

The effect of the predicted local electron cyclotron current driven by the optimized electron cyclotron system on ITER is discussed. A design variant was recently proposed to enlarge the physics program covered by the upper and equatorial launchers. By extending the functionality range of the upper launcher, significant control capabilities of the sawtooth period can be obtained. The upper launcher improvement still allows enough margin to exceed the requirements for neoclassical tearing mode stabilization, for which it was originally designed. The analysis of the sawtooth control is carried on with the ASTRA transport code, coupled with the threshold model by Por-celli, to study the control capabilities of the improved upper launcher on the sawtooth instability. The simulations take into account the significant stabilizing effect of the fusion alpha particles. The sawtooth period can be increased by a factor of 1.5 with co-ECCD outside the q = 1 surface, and decreased by at least 30% with co-ECCD inside q = 1. The present ITER base-line design has the electron cyclotron launchers providing only co-ECCD. The variant for the equatorial launcher proposes the possibility to drive counter-ECCD with 1 of the 3 rows of mirrors: the counter-ECCD can then be balanced with co-ECCD and provide pure ECH with no net driven current. The difference between full co-ECCD off-axis using all 20MW from the equatorial launcher and 20MW co-ECCD driven by 2/3 from the equatorial launcher and 1/3 from the upper launcher is shown to be negligible. Cnt-ECCD also offers greater control of the plasma current density, therefore this analysis addresses the performance of the equatorial launcher to control the central q profile. The equatorial launcher is shown to control very efficiently the value of q{sub 0.2}-q{sub min} in advanced scenarios, if one row provides counter-ECCD.

Zucca, C.; Sauter, O.; Fable, E. [Ecole Polytechnique Federate de Lausanne, Centre de Recherches en Physique des Plasmas, Association EURATOM-Confederation Suisse, CH-1015 Lausanne (Switzerland); Henderson, M. A.; Polevoi, A. [ITER Organization, CHD Dpt, CEN Cadarache 519/007, 13108 Saint-Paul-les-Durance (France); Farina, D.; Ramponi, G. [Istituto di Fisica del Plasma, EURATOM-Enea-CNR Association, Milano (Italy); Saibene, G. [Fusion for Energy, c/Josep Pla, 08019 Barcelona (Spain); Zohm, H. [Max Planck Institut fuer Plasmaphysik IPP-EURATOM Association, Garching (Germany)

2008-11-01T23:59:59.000Z

115

CHAPTER XVIII ENVffiONMENTAL FACTORS AFFECTING OYSTER POPULATIONS  

E-Print Network [OSTI]

thrive above the bottom attached t~ rocks and underwater structures, branches and trunks of fallen trees populations are important to man as a source of FISHERY BULLETIN: VOLUME 64, CHAPTER XVIII 7aa-.aal () sa 26 by the greatest number of individuals which can ~row to maturity subject to the conditions which surround them

116

Reliability and Validity: One Factor and Third Factor Tests  

E-Print Network [OSTI]

Chapter 7 Reliability and Validity: One Factor and Third Factor Tests D. White and A. Korotayev 26 Sept 2003 Html links are live Reliability and validity are crucial issues in research. Reliability may have high validity but low reliability, in which case its correlations with other high validity

White, Douglas R.

117

Sport Scholarship programme Rowing at Birmingham  

E-Print Network [OSTI]

included Silver at the World Cup in Linz 2007; 5th at the World Cup in Amsterdam 2007; 4th at Lucerne 2007, winning gold in Bled, silver in Munich and bronze in Lucerne. She has already been selected for the women

Heinke, Dietmar

118

All row, planar fault detection system  

DOE Patents [OSTI]

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.

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

2013-07-23T23:59:59.000Z

119

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 Home5b9fcbce19 NoPublic Utilities Address: 160 EastMaine: EnergyAustin Energy Place:Guidance Documents Website:Handbook

120

Variable Row Spacing of Irrigated Cotton.  

E-Print Network [OSTI]

-CLAY LOAM Sol L Acala 1517D Stoneville 7A Average 1028 1145 1153 1228 1327 1312 1128 1236 1232 LSD between individual means: 1269 1149 952 1326 1298 1266 1297 1109 .05-88 Ib; .01-1 12 Ib 1 965-SANDY LOAM SOIL' Acala 15170 Stoneville 7A... variety Thin No thin Thin No thin Thin No thin Thin No thin 1 966-SANDY LOAM Sol L 1966CLAY LOAM SOlL 7 1967-SANDY LOAM SOlL 9 1 L--121517C 59.1 47.8 61.8 64.5 71.3 68.3 66.0 76.8 7 '-:~ei(~Ile 7A 44.2 50.0 53.7 59.2 58.6 59.0 69.4 80.9 *:? ~c...

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

1970-01-01T23:59:59.000Z

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


121

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 Office of InspectorConcentrating SolarElectric Coop,Save Energy NowNew Hampshire Address Chase OceanTennesseerows? Home

122

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 Home5b9fcbce19 NoPublic Utilities Address: 160Benin: EnergyBoston Areais3: Crystalline Rock -COPPE Incubator JumpISES-FormsCSLCForms

123

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3 End43.

124

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3

125

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel38 End

126

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel38 End7

127

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel38 End78

128

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel38

129

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel388 End

130

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End

131

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1. Enclosed

132

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1. Enclosed3 Number

133

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1. Enclosed3

134

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1. Enclosed33

135

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1. Enclosed339.1

136

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1. Enclosed339.19.1

137

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.24 Number2468143

138

Gas turbine row #1 steam cooled vane  

DOE Patents [OSTI]

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.

Cunha, Frank J. (Longwood, FL)

2000-01-01T23:59:59.000Z

139

Vector and scalar form factors for K- and D-meson semileptonic decays from twisted mass fermions with Nf = 2  

E-Print Network [OSTI]

We present lattice results for the form factors relevant in the K -> pion and D -> pion semileptonic decays, obtained from simulations with two flavors of dynamical twisted-mass fermions and pion masses as light as 260 MeV. For K -> pion decays we discuss the estimates of the main sources of systematic uncertainties, including the quenching of the strange quark, leading to our final result f+(0) = 0.9560 (57) (62). Combined with the latest experimental data, our value of f+(0) implies for the CKM matrix element |Vus| the value 0.2267 (5) (20) consistent with the first-row CKM unitarity. For D -> pion decays the application of Heavy Meson Chiral Perturbation Theory allows to extrapolate our results for both the scalar and the vector form factors at the physical point with quite good accuracy, obtaining a nice agreement with the experimental data. In particular at zero-momentum transfer we obtain f+(0) = 0.64 (5).

S. Di Vita; B. Haas; F. Mescia; V. Lubicz; S. Simula; C. Tarantino

2009-10-26T23:59:59.000Z

140

Electrical and Production Load Factors  

E-Print Network [OSTI]

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

Sen, T.; Heffington, W. M.

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


141

Issue 01 September 2009 This issue: 1 STFC Innovations Ltd to lead ESA's UK technology transfer work 2 RSE/STFC Enterprise Fellowships 3 RSE/STFC Enterprise Fellowships  

E-Print Network [OSTI]

Issue 01 September 2009 This issue: 1 STFC Innovations Ltd to lead ESA's UK technology transfer in knowledge exchange and technology transfer has been recognised with the awarding of a prestigious contract by the European Space Agency (ESA). STFC Innovations Ltd to lead ESA's UK technology transfer work STFC

142

Integer factorization is in P  

E-Print Network [OSTI]

can be solved by a deterministic Turing machine in polynomial time(see e.g.. Cormen et al. (2009)). Theorem 5. Integer factorization is in FP. Algorithm 2 can be...

owner

2014-04-07T23:59:59.000Z

143

Automatic Test Factoring for Java  

E-Print Network [OSTI]

Test factoring creates fast, focused unit tests from slow system-widetests; each new unit test exercises only a subset of the functionalityexercised by the system test. Augmenting a test suite with factoredunit tests ...

Saff, David

2005-06-08T23:59:59.000Z

144

EFFICIENT STRUCTURED MULTIFRONTAL FACTORIZATION FOR ...  

E-Print Network [OSTI]

Such rank phenomenon is indeed observed for the .... Moreover, the HSS tree can help quickly identify any off-diagonal block of the ...... Table 4.1. Factorization cost ?fact, solution cost ?sol, and storage ?mem of the structured multifrontal.

2013-03-21T23:59:59.000Z

145

Human Factors of Reporting Systems  

E-Print Network [OSTI]

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

Johnson, C.W.

146

Radiant-interchange configuration factors  

E-Print Network [OSTI]

RADIANT-INTERCHANGE CONFIGURATION FACTORS A Thesis By THOMAS E DW ARD RE D DIN Submitted to the Graduate College of the Texas A)M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE January 1965 Major... wife, Dorene, whose patience and encouragement have been a constant source of inspiration. TABLE OF CONTENTS CHAPTER I . INTRODUCTION PAGE ~ 0 1 II. THE GEOMETRY OF THE BLACK BODY CONFIGURATION FACTOR. . . , . . . . . . . . . . . . . . . . 3 1...

Reddin, Thomas Edward

1965-01-01T23:59:59.000Z

147

22 RSE n 5 juillet-aot 2010 www.rsemag.com Les PME face aux risques  

E-Print Network [OSTI]

marginal et, il faut bien le dire, circonscrit à la littérature anglo- saxonne. Hasle et Limborg en 2006

Paris-Sud XI, Université de

148

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

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

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149

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4 Relative4B141.

150

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

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

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151

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4 Relative4B141.2.3.

152

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4 Relative4B141.2.3.1.3.

153

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4

154

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1. Relative Standard

155

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1. Relative

156

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1. RelativeC4.1.

157

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1.

158

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1. Relative

159

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1. Relative1.

160

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1. Relative1.2.

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


161

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1. Relative1.2.3.

162

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1.

163

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1.1. Relative

164

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1.1. Relative2.

165

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1.1.

166

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1.1.1. Relative

167

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1.1.1. Relative2.

168

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1.1.1.

169

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1.1.1.4. Relative

170

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1.1.1.4.

171

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1.1.1.4.3.

172

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1.1.1.4.3.1.

173

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropaneResidential"Total"2.4C2.1..1.1.1.4.3.1.2.

174

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10

175

"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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for Table N8.3;" " Unit:

176

Transcription factor-based biosensor  

DOE Patents [OSTI]

The present invention provides for a system comprising a BmoR transcription factor, a .sigma..sup.54-RNA polymerase, and a pBMO promoter operatively linked to a reporter gene, wherein the pBMO promoter is capable of expression of the reporter gene with an activated form of the BmoR and the .sigma..sup.54-RNA polymerase.

2013-10-08T23:59:59.000Z

177

Factors Impacting Decommissioning Costs - 13576  

SciTech Connect (OSTI)

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

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

2013-07-01T23:59:59.000Z

178

Dissecting Soft Radiation with Factorization  

E-Print Network [OSTI]

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.

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

2015-02-10T23:59:59.000Z

179

Industrial Equipment Demand and Duty Factors  

E-Print Network [OSTI]

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

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

180

Guidelines for Power Factor Improvement Projects  

E-Print Network [OSTI]

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

Massey, G. W.

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


181

Cone Penetrometer N Factor Determination Testing Results  

SciTech Connect (OSTI)

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

Follett, Jordan R.

2014-03-05T23:59:59.000Z

182

Crop Management Factors: What is Important?  

E-Print Network [OSTI]

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

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

1999-09-29T23:59:59.000Z

183

Prime Factorization in the Duality Computer  

E-Print Network [OSTI]

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

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

2006-07-04T23:59:59.000Z

184

Infrared Scales and Factorization in QCD  

E-Print Network [OSTI]

Effective field theory methods are used to study factorization of the deep inelastic scattering cross-section. The cross-section is shown to factor in QCD, even though it does not factor in perturbation theory for some choices of the infrared regulator. Messenger modes are not required in soft-collinear effective theory for deep inelastic scattering as x -> 1.

Aneesh V. Manohar

2005-12-14T23:59:59.000Z

185

GUIDED ANGLER FISH ANNUAL CONVERSION FACTORS  

E-Print Network [OSTI]

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

186

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

E-Print Network [OSTI]

. . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 2.7.1 The Factor Analysis Model . . . . . . . . . . . . . . . . . 28 v 2.8 Model Selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 2.8.1 The Akaike Information Criterion . . . . . . . . . . . . . . 30 2.8.2 The Bayesian... Information Criterion . . . . . . . . . . . . . 31 2.9 Factor Scores . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 2.10 Non-uniqueness of Factor Loadings . . . . . . . . . . . . . . . . . . 32 2.10.1 The Rotation of Factor Loadings...

Gaucher, Beverly Jane

2013-04-04T23:59:59.000Z

187

Synthetic heparin-binding growth factor analogs  

DOE Patents [OSTI]

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.

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

2007-01-23T23:59:59.000Z

188

Nucleon Form Factor Measurements and Interpretation  

SciTech Connect (OSTI)

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

Charles F. Perdrisat

2007-08-22T23:59:59.000Z

189

Optimization Online - Building a completely positive factorization  

E-Print Network [OSTI]

Aug 21, 2009 ... Abstract: Using a bordering approach, and building upon an already known factorization of a principal block, we establish sufficient conditions...

Immanuel Bomze

2009-08-21T23:59:59.000Z

190

History and evolution of buildup factors  

SciTech Connect (OSTI)

The gamma-ray buildup factor is a term whose origin is lost in the mists of the early history of the Manhattan Project.' Its introduction stems from the observation that the calculations for the uncollided photons, i.e., those that have arrived at R without suffering any collisions, are usually a relatively simple matter, involving only an exponential kernel. The buildup factor is then a multiplicative factor, which corrects the answer that is proportional to the uncollided flux density to include the effects of the scattered photons. This paper further summarizes and traces efforts since 1954 at calculating and mathematically defining buildup factors.

Trubey, D.K.

1992-01-01T23:59:59.000Z

191

Human factors methods in DOE nuclear facilities  

SciTech Connect (OSTI)

The US Department of Energy (DOE) is in the process of developing a series of guidelines for the use of human factors standards, procedures, and methods to be used in nuclear facilities. This paper discusses the philosophy and process being used to develop a DOE human factors methods handbook to be used during the design cycle. The following sections will discuss: (1) basic justification for the project; (2) human factors design objectives and goals; and (3) role of human factors engineering (HFE) in the design cycle.

Bennett, C.T.; Banks, W.W. (Lawrence Livermore National Lab., CA (United States)); Waters, R.J. (Department of Energy, Washington, DC (United States))

1993-01-01T23:59:59.000Z

192

Cloud Controlling Factors --Low Clouds BJORN STEVENS,  

E-Print Network [OSTI]

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

Stevens, Bjorn

193

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

E-Print Network [OSTI]

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

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

2002-01-01T23:59:59.000Z

194

Synthetic heparin-binding factor analogs  

DOE Patents [OSTI]

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

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

2010-04-20T23:59:59.000Z

195

Term Structure Dynamics with Macroeconomic Factors  

E-Print Network [OSTI]

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

Park, Ha-Il

2011-02-22T23:59:59.000Z

196

Phenomenology of the Deuteron Electromagnetic Form Factors  

E-Print Network [OSTI]

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

TheJLAB t20 collaboration; D. Abbott

2000-02-25T23:59:59.000Z

197

Factors favorable to public participation success  

SciTech Connect (OSTI)

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

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

1996-05-01T23:59:59.000Z

198

Carbon Dioxide Emission Factors for Coal  

Reports and Publications (EIA)

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

1994-01-01T23:59:59.000Z

199

Decision making process and factors routing  

E-Print Network [OSTI]

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

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

2013-01-01T23:59:59.000Z

200

Repairing Tom Swift's electric factor analysis machine  

E-Print Network [OSTI]

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

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

2003-01-01T23:59:59.000Z

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


201

Pion form factor with chirally improved fermions  

E-Print Network [OSTI]

We present results for Monte Carlo calculations of the electromagnetic vector and scalar form factors of the pion in a quenched simulation. We work at a lattice spacing of 0.15 fm and use two lattice volumes up to a spatial size of 2.4 fm. The pion form factors in the space-like region are determined for pion masses down to 340 MeV.

Stefano Capitani; Christof Gattringer; C. B. Lang

2005-09-12T23:59:59.000Z

202

The Form Factors of the Nucleons  

SciTech Connect (OSTI)

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

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

2013-11-01T23:59:59.000Z

203

Sparse Householder QR Factorization on a Mesh Ram'on Doallo, Juan Touri~no Emilio L. Zapata  

E-Print Network [OSTI]

is in the various applications it has in linear algebra, such as eigenvalue calculation and the least squares of the last A­B rows of this matrix are zero. The parallel algorithm has been programmed for Fujitsu's AP1000 or cells (SPARC processors) and three inde­ pendent communication networks: the torus network (T­net

Touriño, Juan

204

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3

205

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3E8.1 and E8.2.

206

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3E8.1 and E8.2.1

207

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3E8.1 and

208

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3E8.1 andN3.1

209

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3E8.1

210

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3E8.11 and N6.2.

211

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3E8.11 and

212

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3E8.11 and1 and

213

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3E8.11 and1

214

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3E8.11 and1S2.1

215

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: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7.End1 Relative3E8.11

216

Quantitative Finance To apear Efficient Factor GARCH Models and Factor-DCC Models  

E-Print Network [OSTI]

Quantitative Finance To apear Efficient Factor GARCH Models and Factor-DCC Models Kun Zhang KZHANG of Hong Kong Hong Kong Abstract We reveal that in the estimation of univariate GARCH or multivariate generalized or- thogonal GARCH (GO-GARCH) models, maximizing the likelihood is equivalent to making

Jegelka, Stefanie

217

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

E-Print Network [OSTI]

Basis 5 Burning oil is also known as kerosene or paraffin used for heating systems. Aviation Turbine biomass heating systems. The emission factors are based on the factor provided in SAP2005, Table 12. Page - Imports and Exports Last updated: Jun-05 Total emissions (kg CO2) Total electricity produced Total heat

218

DYNAMIC INTERACTION FACTORS FOR FLOATING PILE GROUPS  

E-Print Network [OSTI]

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

Entekhabi, Dara

219

Factorizations of Operator Matrices Lawrence A. Harris  

E-Print Network [OSTI]

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

Harris, Larry

220

Cloud Controlling Factors --Low Clouds BJORN STEVENS,  

E-Print Network [OSTI]

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

Stevens, Bjorn

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


221

Unit Conversion Factors Quantity Equivalent Values  

E-Print Network [OSTI]

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

Ashurst, W. Robert

222

Impact Factors of Energy Intensity in China  

E-Print Network [OSTI]

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

unknown authors

223

Traffic culture human factors & traffic safety  

E-Print Network [OSTI]

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

Karlsson, Brynjar

224

ASSESSING CAUSAL FACTORS IN INDIVIDUAL ROAD ACCIDENTS  

E-Print Network [OSTI]

ASSESSING CAUSAL FACTORS IN INDIVIDUAL ROAD ACCIDENTS: COLLECTIVE RESPONSIBILITY IN FREEWAY REAR accident report: Happened on I-94 in downtown Minneapolis Happened during the afternoon peak period Vehicle" is a "condition or event" such that "had the condition or event been prevented...the accident would not occur

Minnesota, University of

225

Current advances in using neurotrophic factors to treat neurodegenerative disorders  

E-Print Network [OSTI]

neurotrophic factors to treat neurodegenerative disorders.neurotrophic factors to treat neurodegenerative disordersCNS diseases are difficult to treat due to the Page 3 of 9

Weissmiller, April M; Wu, Chengbiao

2012-01-01T23:59:59.000Z

226

Measured and Modeled Humidification Factors of Fresh Smoke Particles...  

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

Measured and Modeled Humidification Factors of Fresh Smoke Particles From Biomass Burning: Role of Inorganic Constituents. Measured and Modeled Humidification Factors of Fresh...

227

annihilation factor analysis: Topics by E-print Network  

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

16 Correlated Bayesian Factor Analysis CiteSeer Summary: Factor analysis is a method in multivariate statistical analysis that can help scientists determine which variables to...

228

In Search of a Statistically Valid Volatility Risk Factor  

E-Print Network [OSTI]

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

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

2013-01-01T23:59:59.000Z

229

affecting critical factors: Topics by E-print Network  

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

social responsibility implementation: an emphasis on values 5 Factors affecting wild turkey distribution and numbers Texas A&M University - TxSpace Summary: FACTORS AFFECTING...

230

Scatter factors assessment in microbeam radiation therapy  

SciTech Connect (OSTI)

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

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

2012-03-15T23:59:59.000Z

231

Nucleon and $?$ elastic and transition form factors  

E-Print Network [OSTI]

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.

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

2014-09-03T23:59:59.000Z

232

Energy Conservation Analysis of Three-Row-Hole Hollow Blocks  

E-Print Network [OSTI]

In recent years, solid clay blocks have been forbidden in large and middle cities with the wall reformation policy issued in China. Many kinds of new wall materials have appeared in the market, but little research has been done on these new...

Chen, G.; Li, H.; Liu, Z.

2006-01-01T23:59:59.000Z

233

A Polyhedral Approach to the Single Row Facility Layout Problem  

E-Print Network [OSTI]

These validity of these inequalities for MinLA was observed by Liu Van- nelli [19]. ..... [29] Torgerson, W.S.: Multidimensional scaling I: theory and method. Psy-.

2011-01-20T23:59:59.000Z

234

A Polyhedral Study of Triplet Formulation for Single Row Facility ...  

E-Print Network [OSTI]

In this paper we conduct a polyhedral study ..... [1] S. S. Heragu, A. Kusiak, Machine layout problem in flexible manufacturing systems, Operations Re- search 36...

2010-04-01T23:59:59.000Z

235

Row-Reduced Column Generation for Degenerate Master Problems  

E-Print Network [OSTI]

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.

2013-02-06T23:59:59.000Z

236

THE WHOLESOMENESS OF' OYSTERS AS FOOD By Henry C. Rowe  

E-Print Network [OSTI]

before the Fourth International Fishery Congress held at Washington, U. S. A., September 22 to 26, )908 results by patient labor, costly experiments, and large investment. Instead of having his crops produced and protected for him, as has been done for the fishers of swimming fish, he has paid large sums to the states

237

Scatter search algorithms for the single row facility layout problem  

E-Print Network [OSTI]

Mar 22, 2012 ... [11] F. Glover, Heuristics for integer programming using surrogate constraints, ... [

2012-03-22T23:59:59.000Z

238

Computing Globally Optimal Solutions for Single-Row Layout ...  

E-Print Network [OSTI]

a special case of the unequal-area facility layout problem, and is also known in the ..... 5.0) of Borchers (1999) in conjunction with the ATLAS library of routines of

239

Tabu search for the single row facility layout problem using ...  

E-Print Network [OSTI]

Jan 13, 2012 ... P&QM Area, IIM Ahmedabad, Vastrapur, Ahmedabad 380015, Gujarat, INDIA ...... 20 23 26 53 10 11 57 5 58 51 6 19 65 2 33 44 45 24 42 47 16.

2012-01-13T23:59:59.000Z

240

A competitive genetic algorithm for single row facility layout  

E-Print Network [OSTI]

Feb 22, 2012 ... P&QM Area, IIM Ahmedabad, Vastrapur, Ahmedabad 380015, Gujarat, INDIA. Abstract ...... 5 58 51 6 19 65 2 33 44 45 24 42 47 16 28 56 38.

2012-02-22T23:59:59.000Z

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


241

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

E-Print Network [OSTI]

la cinta. El pasar el cincel pre- viamente hace que la profundidad y el espaci- C) Tuber?a distribuidora instalada bajo la superficie del suelo y conectada a dos l?neas de goteo. Figura 2. Conexiones t?picas de la tuber?a distribuidora a las cin- tas... tener una profundidad de al menos 16 pul- gadas por debajo de la cinta de riego, y un pie bajo la cinta en la l?nea de lavado. 3. Exponga la cinta de la zanja formando un tri?ngulo (Fig. 8). Deje suficiente espacio para trabajar con sus manos y asegurar...

Enciso, Juan

2004-09-07T23:59:59.000Z

242

The phase diagram of the staggered row model for magnetism  

E-Print Network [OSTI]

as in Eq. (2. 1). Let e, = ei+ A, (z r, ) + A?(11 r, ), (2 2) where z. y are the unit vectors in x and y directions, and 4? A?are variables to be determined by minimizing the energy. l denotes a given sublattice, . 4, B, or C. 6, and A?have the physical... Sp to Fi is second order. In Fig. 9, our numerical results are given for Hs vs. T. Near the transition line Hs ? w. 4. 2 AFq Phase In the . 4Ei phase, spin-C melts, and spin-A and spin-B have equal length but they are in opposite directions...

Zhang, Weimin

1991-01-01T23:59:59.000Z

243

A Semidefinite Optimization Approach for the Single-Row Layout ...  

E-Print Network [OSTI]

Mar 28, 2005 ... Department of Electrical & Computer Engineering, University of ... by the Natural Sciences and Engineering Research Council (NSERC) of...

2005-03-28T23:59:59.000Z

244

Improving Data Center Efficiency with Rack or Row Cooling Devices |  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.ProgramJulietipDepartment of EnergyDepartment ofPhoto ofDepartment of

245

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442 140,94884

246

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,442 140,948844

247

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number of

248

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number of3.4

249

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.4 Number

250

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.4

251

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.44.4

252

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.44.41

253

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.44.413

254

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.44.4133

255

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4 Number2.44.41335

256

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.4

257

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number of

258

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number of1

259

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number of13

260

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number of133

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


261

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number of1330.5

262

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number

263

Level: National Data; 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number9 Number

264

Level: National Data; Row: NAICS Codes; Column: Floorspace and Buildings;  

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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Number9

265

Level: National Data; Row: Values of Shipments 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next MECS will3

266

Level: National Data; Row: Values of Shipments 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 CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422 133,4422.49 Next MECS

267

A Semidefinite Optimization Approach to the Parallel Row Ordering ...  

E-Print Network [OSTI]

problem in which one wishes to minimize the total material flow cost. .... ing system [33], balancing hydraulic turbine runners [39], numerical analysis [14], optimal...

2015-03-17T23:59:59.000Z

268

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 CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3

269

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 CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3Information Exploration/Development Water Easement JumpEasement

270

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 CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3Information Exploration/Development Water EasementLeaseof

271

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:YearRound-UpHeatMulti-Dimensionalthe U.S. Department-2023DepartmentResults |Challenging

272

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity

273

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity1

274

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity11.1

275

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity11.11

276

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity11.116

277

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13. Quantity11.1166

278

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.

279

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.

280

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4

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


281

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.44

282

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.444

283

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441. End

284

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441. End2.

285

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.

286

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4. End

287

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4. End1

288

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.

289

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.3 End

290

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.3

291

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.31

292

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.312

293

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.3123

294

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total Inputs13.1.3.4441.4.31234

295

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total

296

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel

297

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3 End

298

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of Fuel3 End4

299

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.4

300

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41. Fuel

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


301

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41. Fuel2.

302

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.

303

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.2 Fuel

304

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.2 Fuel4

305

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.2

306

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.22

307

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.224

308

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.2242.4

309

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses of54.41.2242.41

310

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses

311

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number of

312

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number of1

313

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number of12

314

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number

315

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number1 Fuel

316

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number1

317

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number13.4

318

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number13.41

319

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4 Number13.412

320

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End Uses3.4

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


321

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.2 Number

322

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.2 Number2.

323

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.2 Number2.1. Fuel

324

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.2 Number2.1.

325

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.2 Number2.1.S4.1.

326

" 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 CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECSPropane PAD2006..........A49. Total2 End2.1.2

327

Unified description of kaon electroweak form factors  

SciTech Connect (OSTI)

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

A. Afanasev; W. Buck

1996-06-01T23:59:59.000Z

328

Fully relativistic form factor for Thomson scattering  

SciTech Connect (OSTI)

We derive a fully relativistic form factor for Thomson scattering in unmagnetized plasmas valid to all orders in the normalized electron velocity, beta->=v->/c. The form factor is compared to a previously derived expression where the lowest order electron velocity, beta->, corrections are included [J. Sheffield, Plasma Scattering of Electromagnetic Radiation (Academic Press, New York, 1975)]. The beta-> expansion approach is sufficient for electrostatic waves with small phase velocities such as ion-acoustic waves, but for electron-plasma waves the phase velocities can be near luminal. At high phase velocities, the electron motion acquires relativistic corrections including effective electron mass, relative motion of the electrons and electromagnetic wave, and polarization rotation. These relativistic corrections alter the scattered emission of thermal plasma waves, which manifest as changes in both the peak power and width of the observed Thomson-scattered spectra.

Palastro, J. P.; Ross, J. S.; Pollock, B.; Divol, L.; Froula, D. H.; Glenzer, S. H. [Lawrence Livermore National Laboratory, Livermore, California 94551 (United States)

2010-03-15T23:59:59.000Z

329

Factorization in B to V gamma Decays  

SciTech Connect (OSTI)

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

Becher, T

2005-03-28T23:59:59.000Z

330

On form factors and Macdonald polynomials  

E-Print Network [OSTI]

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

Lashkevich, Michael

2013-01-01T23:59:59.000Z

331

On form factors and Macdonald polynomials  

E-Print Network [OSTI]

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

Michael Lashkevich; Yaroslav Pugai

2014-12-23T23:59:59.000Z

332

Nominal Performance Biosphere Dose Conversion Factor Analysis  

SciTech Connect (OSTI)

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

M. Wasiolek

2004-09-08T23:59:59.000Z

333

$?$ and $?'$ transition form factors from Pad approximants  

E-Print Network [OSTI]

We employ a systematic and model-independent method to extract, from space- and time-like data, the $\\eta$ and $\\eta'$ transition form factors (TFFs) obtaining the most precise determination for their low-energy parameters and discuss the $\\Gamma_{\\eta\\rightarrow\\gamma\\gamma}$ impact on them. Using TFF data alone, we also extract the $\\eta-\\eta'$ mixing parameters, which are compatible to those obtained from more sophisticated and input-demanding procedures.

Pablo Sanchez-Puertas; Pere Masjuan

2014-11-17T23:59:59.000Z

334

Transcription factor-based biosensors for detecting dicarboxylic acids  

DOE Patents [OSTI]

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

Dietrich, Jeffrey; Keasling, Jay

2014-02-18T23:59:59.000Z

335

Heavy to light baryon transition form factors  

SciTech Connect (OSTI)

Recently, Stech found form factor relations for heavy to light transitions based on two simple dynamical assumptions for a spectator particle. In this paper we generalize his approach to the case of baryons and find that for {Lambda}{sub {ital Q}}{r_arrow}{Lambda} ({ital Q}={ital b} or {ital c}) only one independent form factor remains in the limit {ital m}{sub {ital Q}}{r_arrow}{infinity}. Furthermore, combining with the model of Guo and Kroll we determine both of the two form factors for {Lambda}{sub {ital Q}}{r_arrow}{Lambda} in the heavy quark limit. The results are applied to {Lambda}{sub {ital b}}{r_arrow}{Lambda}+{ital J}/{psi} which is not clarified both theoretically and experimentally. It is found that the branching ratio of {Lambda}{sub {ital b}}{r_arrow}{Lambda}+{ital J}/{psi} is of order 10{sup {minus}5}. {copyright} {ital 1996 The American Physical Society.}

Guo, X. [Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brasil] [Centro Brasileiro de Pesquisas Fisicas, Rio de Janeiro, Brasil; [Institute of High Energy Physics, Academia Sinica, Beijing 100039, People`s Republic of (China); Huang, T. [CCAST (World Laboratory) P.O. Box 8730, Beijing 100080, People`s Republic of (China)] [CCAST (World Laboratory) P.O. Box 8730, Beijing 100080, People`s Republic of (China); [Institute of High Energy Physics, Academia Sinica, Beijing 100039, People`s Republic of (China); Li, Z. [Institute of High Energy Physics, Academia Sinica, Beijing 100039, People`s Republic of (China)] [Institute of High Energy Physics, Academia Sinica, Beijing 100039, People`s Republic of (China)

1996-05-01T23:59:59.000Z

336

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

E-Print Network [OSTI]

From Saudi Arabia to Venezuela: Energy Resources, Market Factors & ConflictsEnergy Resources, or in U.S. relations with Venezuela, Russia, China, Saudi Arabia, Israel and Nigeria? We will analyze

O'Donnell, Tom

337

Nominal Performance Biosphere Dose Conversion Factor Analysis  

SciTech Connect (OSTI)

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

M.A. Wasiolek

2005-04-28T23:59:59.000Z

338

Neutron electric form factor via recoil polarimetry  

SciTech Connect (OSTI)

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

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

2003-05-01T23:59:59.000Z

339

Lorentz Coherence and the Proton Form Factor  

E-Print Network [OSTI]

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.

Kim, Young S

2015-01-01T23:59:59.000Z

340

Dynamic structure factors of a dense mixture  

E-Print Network [OSTI]

We compute the dynamic structure factors of a dense binary liquid mixture. These describe dynamics on molecular length scales, where structural relaxation is important. We find that the presence of a few large particles in a dense fluid of small particles slows down the dynamics considerably. We also observe a deep narrowing of the spectrum for a disordered mixture composed of a nearly equal packing of the two species. In contrast, a few small particles diffuse easily in the background of a dense fluid of large particles. We expect our results to describe neutron scattering from a dense mixture.

Supurna Sinha

2005-05-22T23:59:59.000Z

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


341

Embeddings and factorizations of Banach spaces  

E-Print Network [OSTI]

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

Zheng, Bentuo

2009-05-15T23:59:59.000Z

342

Factors for design of dips for roadways  

E-Print Network [OSTI]

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

McCasland, William Richard

1957-01-01T23:59:59.000Z

343

Prime number generation and factor elimination  

E-Print Network [OSTI]

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

Vineet Kumar

2014-10-06T23:59:59.000Z

344

Helium Compton Form Factor Measurements at CLAS  

SciTech Connect (OSTI)

The distribution of the parton content of nuclei, as encoded via the generalized parton distributions (GPDs), can be accessed via the deeply virtual Compton scattering (DVCS) process contributing to the cross section for leptoproduction of real photons. Similarly to the scattering of light by a material, DVCS provides information about the dynamics and the spatial structure of hadrons. The sensitivity of this process to the lepton beam polarization allows to single-out the DVCS amplitude in terms of Compton form factors that contain GPDs information. The beam spin asymmetry of the $^4$He($\\vec {\\mathrm e}$,e$' \\gamma ^4$He) process was measured in the experimental Hall B of the Jefferson Laboratory to extract the real and imaginary parts of the twist-2 Compton form factor of the $^4$He nucleus. The experimental results reported here demonstrate the relevance of this method for such a goal, and suggest the dominance of the Bethe-Heitler amplitude to the unpolarized process in the kinematic range explored by the experiment.

Voutier, Eric J.-M. [Laboratoire de Physique Subatomique et Cosmologie

2013-07-01T23:59:59.000Z

345

Factors Inhibiting Personal Growth When Teaching Academically Diverse Classes  

E-Print Network [OSTI]

This study seeks to identify the factors that inhibit personal growth in teaching as teachers work to meet the needs of all students in academically diverse groups of learners. To identify these factors, researchers worked ...

Lenz, B. Keith; Melvin, Jeff; Kissam, Brenda; Bulgren, Janis; Roth, Janet

1992-08-01T23:59:59.000Z

346

Safety Science & Solutions Integrating Human Factors in Healthcare  

E-Print Network [OSTI]

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

Levi, Ran

347

EVALUATING NATIONAL ENVIRONMENTAL SUSTAINABILITY: PERFORMANCE MEASURES AND INFLUENTIAL FACTORS FOR  

E-Print Network [OSTI]

development, industrial structure, energy prices, environmental governance, pollution abatement and control, environmental governance, and energy prices are major influential factors, with energy prices the most important components factor analysis to help build subindices measuring waste and pollution, sustainable energy

348

affect postprandial factor: Topics by E-print Network  

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

may influence the decision Cheng, Yvonne 2011-01-01 3 Factors affecting wild turkey distribution and numbers Texas A&M University - TxSpace Summary: FACTORS AFFECTING...

349

"1. Carbon Dioxide Emission Factors for Stationary Combustion1"  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit: Physical Units or Btu.242.6 173.69 Volumes ofFuelNumberFuel

350

Disruptive Event Biosphere Dose Conversion Factor Analysis  

SciTech Connect (OSTI)

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

M. Wasiolek

2004-09-08T23:59:59.000Z

351

Extended correlations of porosity, permeability, and formation resistivity factor  

E-Print Network [OSTI]

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

Ellis, Keith Wade

1987-01-01T23:59:59.000Z

352

IN-SERVICE LOAD & RESISTANCE FACTOR RATING METHOD FOR BRIDGES  

E-Print Network [OSTI]

Stress Rating method (noted ASR in the following), Load Factor Rating method (noted LFR in the followingIN-SERVICE LOAD & RESISTANCE FACTOR RATING METHOD FOR BRIDGES Degang Li1 , Baidurya Bhattacharya2 are evaluated using allowable stress and load factor rating methods. Load rating made in these traditional

Bhattacharya, Baidurya

353

Factors Contributing to Ideal Instructional Interactivity Michael Yacci  

E-Print Network [OSTI]

Factors Contributing to Ideal Instructional Interactivity Michael Yacci Paul Hyman Information are the factors that contribute to "ideal" instructional interactivity? In this study, subjects observed different and paralanguage. Introduction The purpose of this project was to determine factors that contribute to an "ideal

Yacci, Michael

354

REALIZING TWO-FACTOR AUTHENTICATION FOR THE BITCOIN PROTOCOL  

E-Print Network [OSTI]

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

355

New Blind Signatures Equivalent to Factorization (Extended Abstract)  

E-Print Network [OSTI]

New Blind Signatures Equivalent to Factorization (Extended Abstract) David Pointcheval Jacques Stern Abstract In this paper, we present new blind signature schemes based on the factorization problem. They are the first blind sig- nature schemes proved secure relatively to factorization. By security, we mean

Pointcheval, David

356

UPDATE AND ENHANCEMENT OF ODOT'S CRASH REDUCTION FACTORS  

E-Print Network [OSTI]

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

Bertini, Robert L.

357

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

SciTech Connect (OSTI)

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

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

2003-01-28T23:59:59.000Z

358

Quantifier elimination for approximate Beals-Kartashova factorization  

E-Print Network [OSTI]

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

Elena Kartashova; Scott McCallum

2007-01-07T23:59:59.000Z

359

Commissioning of output factors for uniform scanning proton beams  

SciTech Connect (OSTI)

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.

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)

2011-04-15T23:59:59.000Z

360

Factors affecting water quality in Cherokee Reservoir  

SciTech Connect (OSTI)

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

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

1980-07-01T23:59:59.000Z

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


361

Simple analytic model for astrophysical S factors  

SciTech Connect (OSTI)

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

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

2010-10-15T23:59:59.000Z

362

Chemical factors that control lignin polymerization  

SciTech Connect (OSTI)

Lignin is a complex, branched polymer that reinforces plant tissue. Understanding the factors that govern lignin structure is of central importance to the development of technologies for converting lignocellulosic biomass into fuels because lignin imparts resistance to chemical, enzymatic and mechanical deconstruction. Lignin is formed by enzymatic oxidation of phenolic monomers (monolignols) of three main types, guaiacyl (G), syringyl (S) and p- hydroxyphenyl (H). It is known that increasing the relative abundance of H subunits results in lower molecular-weight lignin polymers, and hence more easily deconstructed biomass, but it is not known why. Here, we report an analysis of frontier molecular orbitals in mono-, di- and trilignols, calculated using density functional theory, which points to a requirement of strong p- electron density on the reacting phenolic oxygen atom of the neutral precursor for enzymatic oxidation to occur. This model is consistent with a proton-coupled electron transfer (PCET) mechanism and for the first time explains why H subunits in certain linkages ( - or -5) react poorly and tend to cap the polymer. In general, -5 linkages with either a G or H terminus are predicted to inhibit elongation. More broadly, the model correctly accounts for the reactivity of the phenolic groups in a diverse set of dilignols comprising H and G subunits. Thus, we provide a coherent framework for understanding the propensity toward growth or termination of different terminal subunits in lignin.

Sangha, Amandeep K [ORNL] [ORNL; Davison, Brian H [ORNL] [ORNL; Standaert, Robert F [ORNL] [ORNL; Davis, Dr. Mark F. [National Renewable Energy Laboratory (NREL)] [National Renewable Energy Laboratory (NREL); Smith, Jeremy C [ORNL] [ORNL; Parks, Jerry M [ORNL] [ORNL

2014-01-01T23:59:59.000Z

363

Disruptive Event Biosphere Doser Conversion Factor Analysis  

SciTech Connect (OSTI)

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

M. Wasiolek

2000-12-28T23:59:59.000Z

364

Nominal Performance Biosphere Dose Conversion Factor Analysis  

SciTech Connect (OSTI)

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

Wasiolek, Maryla A.

2000-12-21T23:59:59.000Z

365

Review of critical factors affecting crude corrosivity  

SciTech Connect (OSTI)

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

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

1996-08-01T23:59:59.000Z

366

Dose factor entry and display tool for BNCT radiotherapy  

DOE Patents [OSTI]

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

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

1999-01-01T23:59:59.000Z

367

Billing Factors for Operating Reserves September 30, 2014  

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

are effective on October 1, 2014. This implements the FERC approved standard BAL-002-WECC-2. Operating Reserve - Spinning Reserve: The Billing Factor for the rates specified in...

368

QCD Factorization for heavy quarkonium production at collider energies  

E-Print Network [OSTI]

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

Jian-Wei Qiu

2006-10-31T23:59:59.000Z

369

Understanding Free and Complexed Enzyme Mechanisms and Factors...  

Office of Scientific and Technical Information (OSTI)

Understanding Free and Complexed Enzyme Mechanisms and Factors Contributing to Cell Wall Recalcitrance (Presentation) Re-direct Destination: Fungal free enzymes and bacterial...

370

anthracis lethal factor: Topics by E-print Network  

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

B -> K Jpsi data to extract a set of parameters which give the relevant hadronic matrix elements in terms of factorized amplitudes. Various sources of theoretical uncertainties...

371

alfa como factor: Topics by E-print Network  

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

B -> K Jpsi data to extract a set of parameters which give the relevant hadronic matrix elements in terms of factorized amplitudes. Various sources of theoretical uncertainties...

372

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

E-Print Network [OSTI]

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

Christian Kirches

2009-11-11T23:59:59.000Z

373

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

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

of a comprehensive lifetime rating - as well as the problematic relationship between SSL lifetime and lumen maintenance - determining an appropriate LLD factor for LED products...

374

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...

375

Nucleon Electromagnetic Form Factors: Free Space and Medium Modifications  

SciTech Connect (OSTI)

We review recent developments in the study of electromagnetic form factors of the nucleon, both in free space and in the nuclear medium. For the free nucleon case, we discuss the ratio of electric to magnetic proton form factors, and the influence of two-photon exchange on the form factor extraction. For the bound nucleon, we examine the implications of the small but non-zero modification of proton form factors in the nuclear medium suggested by recent data on polarized proton knockout reactions off He-4, and discuss constraints which it could place on models of the nuclear EMC effect.

Wally Melnitchouk

2003-10-01T23:59:59.000Z

376

apoptosis inducing factor: Topics by E-print Network  

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

independent cathepsins tumor necrosis factor Lasse Foghsgaard; Dorte Wissing; Daniel Mauch; Ulrik Lademann; Lone Bastholm; Marianne Boes; Folmer Elling; Marcel Leist;...

377

Factors Affecting the Battery Performance of Anthraquinone-based...  

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

Affecting the Battery Performance of Anthraquinone-based Organic Cathode Materials. Factors Affecting the Battery Performance of Anthraquinone-based Organic Cathode Materials....

378

IDENTIFICATION OF FACTORS RELATED TO MOTORCYCLE FATAL INJURIES IN OHIO.  

E-Print Network [OSTI]

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

Indupuru, Vamsi K.

2010-01-01T23:59:59.000Z

379

Analysis of Factors Affecting Motorcycle-Motor Vehicle Crash Characteristics.  

E-Print Network [OSTI]

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

Zhu, Di

2014-01-01T23:59:59.000Z

380

Multi-Factor Energy Price Models Exotic Derivatives Pricing  

E-Print Network [OSTI]

Multi-Factor Energy Price Models and Exotic Derivatives Pricing by Samuel Hikspoors A thesis of Statistics University of Toronto c Copyright by Samuel Hikspoors 2008 #12;Multi-Factor Energy Price Models and practitioners alike recently started to develop the tools of energy derivatives pricing

Jaimungal, Sebastian

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


381

Human Factors Aspects of Power System Flow Animation  

E-Print Network [OSTI]

into utility control centers. For example, [1] and [2] describe the on-line usage of animated flows, voltageHuman Factors Aspects of Power System Flow Animation Douglas A. Wiegmann, Gavin R. Essenberg flow information, including transmission line MW flow and power transfer distribution factor (PTDF

382

Nucleon Form Factors experiments with 12 GeV CEBAF  

SciTech Connect (OSTI)

A number of precision form factor experiments at high momentum transfer will be performed with the 11 GeV electron beam of CEBAF. We review the approved proposals and the conceptual schemes of several new suggestions. Form factor data will serve as a major input for the construction of a tomographic image of the nucleon.

Wojtsekhowski, Bogdan

2008-11-01T23:59:59.000Z

383

INNOVATION AS A FACTOR (DETERMINANT) FOR SUSTAINABLE DEVELOPMENT  

E-Print Network [OSTI]

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

384

Heavy quark impact factor for the LHC phenomenology  

E-Print Network [OSTI]

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

Grigorios Chachamis; Michal Deak; German Rodrigo

2013-10-29T23:59:59.000Z

385

HighPerformance Library Software for QR Factorization  

E-Print Network [OSTI]

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

Elmroth, Erik

386

FRIGERATION OF FISH -PART 3 FACTORS TO BE CONSIDERED  

E-Print Network [OSTI]

FRIGERATION OF FISH - PART 3 FACTORS TO BE CONSIDERED IN THE FREEZING AND COLD STORAGE. REFRIGERATION OF FISH - PART THREE FACTORS TO BE CONSIDERED IN THE FREEZING AND COLD STORAGE OF FISHERY PRODUCTS Taking Place During Cold Storage of Fish Section 3 - Protective Coverings for Frozen Fish · · Pages 1

387

Scaling Factor Inconsistencies in Neutrinoless Double Beta Decay  

E-Print Network [OSTI]

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.

S. Cowell

2005-12-05T23:59:59.000Z

388

Appendix II. Calculation of Slope Factors for Naturally Occurring Radionuclides  

E-Print Network [OSTI]

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

389

Scaling factor inconsistencies in neutrinoless double beta decay  

SciTech Connect (OSTI)

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.

Cowell, S. [Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)

2006-02-15T23:59:59.000Z

390

Diagnostic relapse in Borderline Personality Disorder: risk and protective factors  

E-Print Network [OSTI]

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

Quigley, Brian David

2004-11-15T23:59:59.000Z

391

Agronomic and environmental factors influence weed composition and canola competitiveness  

E-Print Network [OSTI]

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

Kenkel, Norm

392

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

E-Print Network [OSTI]

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

393

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

E-Print Network [OSTI]

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

Gray, Wayne

394

Analysis of IFR driver fuel hot channel factors  

SciTech Connect (OSTI)

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

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

1994-03-01T23:59:59.000Z

395

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

E-Print Network [OSTI]

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

Donnelly, Casey Leanne

2012-06-07T23:59:59.000Z

396

Lifestyle Factors in U.S. Residential Electricity Consumption  

SciTech Connect (OSTI)

A multivariate statistical approach to lifestyle analysis of residential electricity consumption is described and illustrated. Factor analysis of selected variables from the 2005 U.S. Residential Energy Consumption Survey (RECS) identified five lifestyle factors reflecting social and behavioral choices associated with air conditioning, laundry usage, personal computer usage, climate zone of residence, and TV use. These factors were also estimated for 2001 RECS data. Multiple regression analysis using the lifestyle factors yields solutions accounting for approximately 40% of the variance in electricity consumption for both years. By adding the associated household and market characteristics of income, local electricity price and access to natural gas, variance accounted for is increased to approximately 54%. Income contributed only {approx}1% unique variance to the 2005 and 2001 models, indicating that lifestyle factors reflecting social and behavioral choices better account for consumption differences than income. This was not surprising given the 4-fold range of energy use at differing income levels. Geographic segmentation of factor scores is illustrated, and shows distinct clusters of consumption and lifestyle factors, particularly in suburban locations. The implications for tailored policy and planning interventions are discussed in relation to lifestyle issues.

Sanquist, Thomas F.; Orr, Heather M.; Shui, Bin; Bittner, Alvah C.

2012-03-30T23:59:59.000Z

397

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

E-Print Network [OSTI]

Nuclear factor erythroid 2-related factor 2 (Nrf2) is a transcription factor, which, upon translocation into the nucleus, is capable of inducing a variety of cytoprotective genes, such as NAD(P)H:quinone oxidoreductase 1 (Nqo1), glutamate...

Reisman, Scott Aaron

2008-01-01T23:59:59.000Z

398

Purcell factor of Mie resonators featuring electric and magnetic modes  

E-Print Network [OSTI]

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

Zambrana-Puyalto, Xavier

2015-01-01T23:59:59.000Z

399

Dual chain synthetic heparin-binding growth factor analogs  

DOE Patents [OSTI]

The invention provides synthetic heparin-binding growth factor analogs having two peptide chains each branched from a branch moiety, such as trifunctional amino acid residues, the branch moieties separated by a first linker of from 3 to about 20 backbone atoms, which peptide 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 second linker, which may be a hydrophobic second linker. The synthetic heparin-binding growth factor analogs are useful as pharmaceutical agents, soluble biologics or as surface coatings for medical devices.

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

2012-04-24T23:59:59.000Z

400

Dual chain synthetic heparin-binding growth factor analogs  

DOE Patents [OSTI]

The invention provides synthetic heparin-binding growth factor analogs having two peptide chains each branched from a branch moiety, such as trifunctional amino acid residues, the branch moieties separated by a first linker of from 3 to about 20 backbone atoms, which peptide 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 second linker, which may be a hydrophobic second linker. The synthetic heparin-binding growth factor analogs are useful as pharmaceutical agents, soluble biologics or as surface coatings for medical devices.

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

2009-10-06T23:59:59.000Z

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


401

Twisted mass QCD for the pion electromagnetic form factor  

SciTech Connect (OSTI)

The pion form factor is computed using quenched twisted mass QCD and the GMRES-DR matrix inverter. The momentum averaging procedure of Frezzotti and Rossi is used to remove leading lattice spacing artifacts, and numerical results for the form factor show the expected improvement with respect to the standard Wilson action. Although some matrix inverters are known to fail when applied to twisted mass QCD, GMRES-DR is found to be a viable and powerful option. Results obtained for the pion form factor are consistent with the published results from other O(a) improved actions and are also consistent with the available experimental data.

Abdel-Rehim, Abdou M.; Lewis, Randy [Department of Physics, University of Regina, Regina, Saskatchewan, S4S 0A2 (Canada)

2005-01-01T23:59:59.000Z

402

SciTech Connect: Industrial Power Factor Analysis Guidebook.  

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

factor is a way of measuring the percentage of reactive power in an electrical system. Reactive power represents wasted energy--electricity that does no useful work because the...

403

astrophysical s170 factor: Topics by E-print Network  

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

is predicted to be 10.1 10-20 keV b, a factor of five larger than the standard-solar-model value. The P-wave transitions are found to be important, contributing about 40 %...

404

Flavor decomposition of the elastic nucleon electromagnetic form factors  

SciTech Connect (OSTI)

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

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

2011-06-01T23:59:59.000Z

405

Factors controlling tungsten concentrations in ground water, Carson Desert, Nevada  

E-Print Network [OSTI]

Factors controlling tungsten concentrations in ground water, Carson Desert, Nevada Ralph L. Seiler sources. Tungsten concentrations in 100 ground water samples from all aquifers used as drinking water indicates that W exhibits Tungsten con- centrations are strongly and positively correlated

406

Key Factors in Displacement Ventilation Systems for Better IAQ  

E-Print Network [OSTI]

This paper sets up a mathematical model of three-dimensional steady turbulence heat transfer in an air-conditioned room of multi-polluting heat sources. Numerical simulation helps identify key factors in displacement ventilation systems that affect...

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

2006-01-01T23:59:59.000Z

407

Role of Hepatocyte Nuclear Factor 4 alpha in Hepatocyte Proliferation  

E-Print Network [OSTI]

Hepatocyte Nuclear Factor 4 alpha (HNF4?) is the master regulator of hepatocyte differentiation. It is involved in the up-regulation of genes involved in many classic hepatic functions including: bile acid metabolism, ...

Walesky, Chad Michael

2014-05-31T23:59:59.000Z

408

Factors influencing the efficiency of arsenic extraction by phosphate  

E-Print Network [OSTI]

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

Yean, Su Jin

2005-11-01T23:59:59.000Z

409

Geography: Critical Factors in the Analysis of Complex Systems  

E-Print Network [OSTI]

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

Welch, Ivan

2012-05-31T23:59:59.000Z

410

Characterizing and engineering antibodies against the epidermal growth factor receptor  

E-Print Network [OSTI]

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

Chao, Ginger

2008-01-01T23:59:59.000Z

411

activated transcription factors: Topics by E-print Network  

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

Vijaya L. Krishnan; Ian M. Adcock; Peter J. Barnes; K. Fan Chung 1998-01-01 4 The Turkey Transcription Factor Pit-1GHF-1 Can Activate the Turkey Prolactin and Growth Hormone...

412

An analysis of factors contributing to train-involved crashes  

E-Print Network [OSTI]

. Crashes involving trains and vehicles are a significant safety problem in Texas each year. This research attempts to identify and analyze contributing factors to train-involved accidents in Texas. Three years of accident data (1328 total accidents) were...

Cooner, Scott Allen

1995-01-01T23:59:59.000Z

413

aspects risk factors: Topics by E-print Network  

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

2010-01-01 51 Review Epidemiology, risk factors, and lifestyle modifications for gout CiteSeer Summary: Gout affects more than 1 % of adults in the USA, and it is the most...

414

additional risk factor: Topics by E-print Network  

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

2010-01-01 47 Review Epidemiology, risk factors, and lifestyle modifications for gout CiteSeer Summary: Gout affects more than 1 % of adults in the USA, and it is the most...

415

atherosclerosis risk factors: Topics by E-print Network  

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

2010-01-01 58 Review Epidemiology, risk factors, and lifestyle modifications for gout CiteSeer Summary: Gout affects more than 1 % of adults in the USA, and it is the most...

416

adolescent risk factors: Topics by E-print Network  

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

2010-01-01 77 Review Epidemiology, risk factors, and lifestyle modifications for gout CiteSeer Summary: Gout affects more than 1 % of adults in the USA, and it is the most...

417

adulthood risk factors: Topics by E-print Network  

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

2010-01-01 52 Review Epidemiology, risk factors, and lifestyle modifications for gout CiteSeer Summary: Gout affects more than 1 % of adults in the USA, and it is the most...

418

additional risk factors: Topics by E-print Network  

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

2010-01-01 47 Review Epidemiology, risk factors, and lifestyle modifications for gout CiteSeer Summary: Gout affects more than 1 % of adults in the USA, and it is the most...

419

aureus risk factors: Topics by E-print Network  

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

2010-01-01 58 Review Epidemiology, risk factors, and lifestyle modifications for gout CiteSeer Summary: Gout affects more than 1 % of adults in the USA, and it is the most...

420

antitumor necrosis factor: Topics by E-print Network  

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

single-nucleo- tide polymorphisms (SNPs) or haplotypes in the TNF Nyholt, Dale R. 10 Maximum-entropy network analysis reveals a role for tumor necrosis factor in peripheral...

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


421

Sample size in factor analysis: The role of model error  

E-Print Network [OSTI]

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

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

2001-01-01T23:59:59.000Z

422

Enhancement factors for resuspended aerosol radioactivity: Effects of topsoil disturbance  

SciTech Connect (OSTI)

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

Shinn, J.H.

1991-11-01T23:59:59.000Z

423

Nonspecific transcription factor binding reduces variability in transcription factor and target protein expression  

E-Print Network [OSTI]

Transcription factors (TFs) interact with a multitude of binding sites on DNA and partner proteins inside cells. We investigate how nonspecific binding/unbinding to such decoy binding sites affects the magnitude and time-scale of random fluctuations in TF copy numbers arising from stochastic gene expression. A stochastic model of TF gene expression, together with decoy site interactions is formulated. Distributions for the total (bound and unbound) and free (unbound) TF levels are derived by analytically solving the chemical master equation under physiologically relevant assumptions. Our results show that increasing the number of decoy binding sides considerably reduces stochasticity in free TF copy numbers. The TF autocorrelation function reveals that decoy sites can either enhance or shorten the time-scale of TF fluctuations depending on model parameters. To understand how noise in TF abundances propagates downstream, a TF target gene is included in the model. Intriguingly, we find that noise in the expression of the target gene decreases with increasing decoy sites for linear TF-target protein dose-responses, even in regimes where decoy sites enhance TF autocorrelation times. Moreover, counterintuitive noise transmissions arise for nonlinear dose-responses. In summary, our study highlights the critical role of molecular sequestration by decoy binding sites in regulating the stochastic dynamics of TFs and target proteins at the single-cell level.

Mohammad Soltani; Pavol Bokes; Zachary Fox; Abhyudai Singh

2015-04-14T23:59:59.000Z

424

Factors affecting attitudinal patterns toward education in the Dominican Republic  

E-Print Network [OSTI]

FACTORS AF'FECTING ATTITUDINAL PATTERNS TOWARD EDUCATION IN THE DOHINICAN REPUBLIC A Thesi. s by EDWIN HUGH CARPENTER Submitted to the Graduate College of the Texas A&M University in partial fulfillment of the requirements for the degree... of NASTER OF SCIENCE August 1968 Major Sub)sot: Sociology FACTORS AFFECTING ATTITUDINAL PATTERNS TOWARD EDUCATION IN THE DOMINICAN REPUBLIC A Thesis by EDWIN HUGH CARPENTER Approved as to style and content by: (Chairman gf Commit tee) (Head...

Carpenter, Edwin Hugh

1968-01-01T23:59:59.000Z

425

Density matrix renormalization group and wave function factorization for nuclei  

E-Print Network [OSTI]

We employ the density matrix renormalization group (DMRG) and the wave function factorization method for the numerical solution of large scale nuclear structure problems. The DMRG exhibits an improved convergence for problems with realistic interactions due to the implementation of the finite algorithm. The wave function factorization of fpg-shell nuclei yields rapidly converging approximations that are at the present frontier for large-scale shell model calculations.

T. Papenbrock; D. J. Dean

2005-07-15T23:59:59.000Z

426

Is it possible to compute the Moebius function without factoring?  

E-Print Network [OSTI]

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

Craig Alan Feinstein

2003-09-08T23:59:59.000Z

427

Regions of influence for several methods of factoring polynomials  

E-Print Network [OSTI]

REGIONS OF INFLUENCE FOR SEVERAL METHODS OF FACTORING POLYNOMIALS A Thesis By TOMMY JOE SCHULZE Submitted to the Graduate College of the Texas ASM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE... August 1965 Major Subject Mathematics REGIONS OF INFLUENCE FOR SEVERAL METHODS OF FACTORING POLYNOMIALS A Thesis By TOMMY JOE SCHULZE Approved as to style and content by: (Chairman of Committee) (Head of Department (Member) (Member) (Member...

Schulze, Tommy Joe

1965-01-01T23:59:59.000Z

428

Two-phase compressibility factors for retrograde gases  

E-Print Network [OSTI]

of a liquid phase. Gas compressibility factors are used in the gas material balance equations. These equations are used to estimate initial gas in place and reserves. Normally gas compressibility factors are used when a reservoir fluid depletion.... 0 on a material balance plot. Dake's equation has limited usefulness because the initial gas in place G is an unknown in the field. Also note that Gp at the abandonment pressure is the ultimate reserves of the reservoir. We can also derive...

Rayes, Daniel George

1989-01-01T23:59:59.000Z

429

Form factors for generated unequal addendum and dedendum gear teeth  

E-Print Network [OSTI]

PORN FACTORS FOR GEHERLTED DREQUkL LDDERDDH /AID DEDEHDDH GEAR TEETH GEORGE FREDERICK SHEETS, JH. approved as to style and oontent by: z Head of Departnent Hayi 1952 FORM FACTORS FOR GEEERATED UEEQUAL ADDEEDUM AED DEDEEDUM GEAR TEETH... By GEORGE FREDERICK SHEETS, JR. Subnittsd to the Graduate School of ths Agricultural and Mechanical College of Texas in partial fulfillnsnt of ths requirwwnts for ths degree of May~ 1952 Ma)or Sub)set: Mechanical Engineering The advi ca f assi stanoe...

Sheets, George Frederick

1952-01-01T23:59:59.000Z

430

Panel Data Analysis of Regulatory Factors Shaping Environmental Performance  

E-Print Network [OSTI]

and the influence of regulatory factors in general, this paper examines a specific demonstration of environmental perfor- mance: biological oxygen demand (BOD) wastewater dis- charges by large (major) municipal wastewater treatment plants in Kansas during... example, limit levels). To analyze the effects of these regulatory factors on envi- ronmental performance, this particular empirical analysis examines the wastewater discharges by large municipal wastewater treatment facilities in the state of Kansas...

Earnhart, Dietrich H.

2006-03-13T23:59:59.000Z

431

Human factors evaluation of teletherapy: Literature review. Volume 5  

SciTech Connect (OSTI)

A series of human factors evaluations were undertaken to better understand the contributing factors to human error in the teletherapy environment. Teletherapy is a multidisciplinary methodology for treating cancerous tissue through selective exposure to an external beam of ionizing radiation. A team of human factors specialists, assisted by a panel of radiation oncologists, medical physicists, and radiation therapists, conducted site visits to radiation oncology departments at community hospitals, university centers, and free-standing clinics. A function and task analysis was performed initially to guide subsequent evaluations in the areas of workplace environment, system-user interfaces, procedures, training, and organizational practices. To further acquire an in-depth and up-to-date understanding of the practice of teletherapy in support of these evaluations, a systematic literature review was conducted. Factors that have a potential impact on the accuracy of treatment delivery were of primary concern. The present volume is the literature review. The volume starts with an overview of the multiphased nature of teletherapy, and then examines the requirement for precision, the increasing role of quality assurance, current conceptualizations of human error, and the role of system factors such as the workplace environment, user-system interfaces, procedures, training, and organizational practices.

Henriksen, K.; Kaye, R.D.; Jones, R. [Hughes Training, Inc., Falls Church, VA (United States); Morisseau, D.S.; Serig, D.L. [Nuclear Regulatory Commission, Washington, DC (United States). Div. of Systems Technology

1995-07-01T23:59:59.000Z

432

DETERMINATION OF STOKES SHAPE FACTOR FOR SINGLE PARTICLES AND AGGLOMERATES  

SciTech Connect (OSTI)

The large octahedral crystals of spinel can precipitate from glass during the high-level waste vitrification process and potentially block the glass discharge riser of electrically heated ceramic melters. To help predict the settling behavior of spinel in the riser, the settling of single particles and agglomerates was studied in stagnant and transparent viscosity oils at room temperature with developed optical particle-dynamics-analyzer. Determined dimensions and terminal settling velocities of particles were used for calculation of their Stokes shape factors. Calculated shape factor for the glass beads was almost identical with the theoretical shape factor of 2/9 for a perfect sphere. The shape factor for single spinel crystal was about 7.6 % higher compare to the theoretically predicted value for octahedron. Stokes shape factor of irregularly shaped multi-particle agglomerates was lower than that of the glass beads and individual spinel crystals because of the higher surface drag caused by the larger surface area to volume ratio.

Matyas, Josef; Schaible, Micah J.; Vienna, John D.

2011-09-01T23:59:59.000Z

433

Calculation of Accurate Hexagonal Discontinuity Factors for PARCS  

SciTech Connect (OSTI)

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

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

2007-11-01T23:59:59.000Z

434

Asymptotic normalization coefficients, spectroscopic factors, and direct radiative capture rates  

E-Print Network [OSTI]

of the norms of the overlap function and the radial bound-state wave function are, correspondingly, the spectroscopic factor SlB jB and unity, the single-particle spec- troscopic factor SlB jB (sp) in Eq. ~5! will equal the spectroscopic factor SlB jB... of the radial overlap function is given by Eq. ~3!, and the asymptotic normalization of the radial bound-state wave function is defined as wnBlB jB~r ! ? r.RN blB jB W 2hB ,lB11/2~2kBr ! r . ~6! By the proper choice of SlB jB (sp) , one can make Eq...

Mukhamedzhanov, AM; Gagliardi, Carl A.; Tribble, Robert E.

2001-01-01T23:59:59.000Z

435

Factors affecting the energy consumption of two refrigerator-freezers  

SciTech Connect (OSTI)

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

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

1996-12-31T23:59:59.000Z

436

The Proton Form Factor Ratio Measurements at Jefferson Lab  

SciTech Connect (OSTI)

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

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

2014-03-01T23:59:59.000Z

437

Pion electromagnetic form factor in the Covariant Spectator Theory  

SciTech Connect (OSTI)

The pion electromagnetic form factor at spacelike momentum transfer is calculated in relativistic impulse approximation using the Covariant Spectator Theory. The same dressed quark mass function and the equation for the pion bound-state vertex function as discussed in the companion paper are used for the calculation, together with a dressed quark current that satisfies the Ward-Takahashi identity. The results obtained for the pion form factor are in agreement with experimental data, they exhibit the typical monopole behavior at high momentum transfer and they satisfy some remarkable scaling relations.

Biernat, Elmar P. [CFTP, Institute Superior Tecnico, Lisboa (Portugal); Gross, Franz L. [JLAB, Newport News, VA (United States); Pena, Teresa [CFTP, Institute Superior Tecnico, Lisboa (Portugal); Stadler, Alfred [University of Evora, Lisboa (Portugal)

2014-01-01T23:59:59.000Z

438

Human factors evaluation of the engineering test reactor control room  

SciTech Connect (OSTI)

The Reactor and Process Control Rooms at the Engineering Test Reactor were evaluated by a team of human factors engineers using available human factors design criteria. During the evaluation, ETR, equipment and facilities were compared with MIL-STD-1472-B, Human Engineering design Criteria for Military Systems. The focus of recommendations centered on: (a) displays and controls; placing displays and controls in functional groups; (b) establishing a consistent color coding (in compliance with a standard if possible); (c) systematizing annunciator alarms and reducing their number; (d) organizing equipment in functional groups; and (e) modifying labeling and lines of demarcation.

Banks, W.W.; Boone, M.P.

1981-03-01T23:59:59.000Z

439

A Supernodal Approach to Incomplete LU Factorization with Partial Pivoting  

SciTech Connect (OSTI)

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

Li, Xiaoye Sherry; Shao, Meiyue

2009-06-25T23:59:59.000Z

440

Gamma N Delta Form Factors and Wigner Rotations  

E-Print Network [OSTI]

For more than 50 years the Delta N gamma form factors have been studied experimentally, theoretically, and phenomenologically. Although there has been substantial progress in understanding their behavior, there remains much work to be done. A major tool used in many investigations is the Jones-Scadron Delta rest frame parametrization of the three Delta N gamma form factors. We point out that many studies utilizing this parametrization may not account for Wigner rotations and the consequent helicity mixing that ensues when the Delta is not at rest.

Milton Dean Slaughter

2008-10-28T23:59:59.000Z

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


441

Performance analysis of parallel supernodal sparse LU factorization  

SciTech Connect (OSTI)

We investigate performance characteristics for the LU factorization of large matrices with various sparsity patterns. We consider supernodal right-looking parallel factorization on a bi-dimensional grid of processors, making use of static pivoting. We develop a performance model and we validate it using the implementation in SuperLU-DIST, the real matrices and the IBM Power3 machine at NERSC. We use this model to obtain performance bounds on parallel computers, to perform scalability analysis and to identify performance bottlenecks. We also discuss the role of load balance and data distribution in this approach.

Grigori, Laura; Li, Xiaoye S.

2004-02-05T23:59:59.000Z

442

Environmental factors influencing conidial release and sporulation of Paronospora manshurica  

E-Print Network [OSTI]

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

Madden, David Brian

2012-06-07T23:59:59.000Z

443

Tests of transfer reaction determinations of astrophysical S factors  

E-Print Network [OSTI]

conventional nuclear transfer re- actions @2?5# to determine S factors for direct capture reac- PRC 590556-2813/99/59~2!/1149~5!/$15.00 s of astrophysical S factors Lui, A. M. Mukhamedzhanov, A. Sattarov, and L. Trache , College Station, Texas 77843 , S...!. @8# L. Trache, A. Azhari, H. L. Clark, C. A. Gagliardi, Y.-W. Lui, A. M. Mukhamedzhanov, R. E. Tribble, and F. Carstoiu, Phys. Rev. C 58, 2715 ~1998!. @9# R. Morlock, R. Kunz, A. Mayer, M. Jaeger, A. Muller, J. W. Hammer, P. Mohr, H. Oberhummer, G...

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

1999-01-01T23:59:59.000Z

444

Economic investigation of discount factors for agricultural greenhouse gas emission offsets  

E-Print Network [OSTI]

approaches to discount factors, estimation and incorporation of discount factors procedures are developed. Discount factors would be imposed by credit purchasers due to noncompliance with regulatory program of the credits with GHG program including...

Kim, Man-Keun

2005-08-29T23:59:59.000Z

445

Chemical genetic manipulation of interferon regulatory factor 1 (IRF-1) using synthetic biology  

E-Print Network [OSTI]

Interferon regulatory factor 1 (IRF-1), the founding member of IRF family, is a nuclear transcription factor first described as a transcription factor that binds to the upstream region of interferon induced genes following ...

Al Samman, Khaldoon Mohammed A; Alsamman, Khaldoon

2012-11-30T23:59:59.000Z

446

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

E-Print Network [OSTI]

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

Takiguchi, Tetsuya

447

Ambiguity of exhaustive diagnosing of alkali-aggregate reaction for concrete revetments subjected to more aggressive factors  

SciTech Connect (OSTI)

On the Bistrita river, in the downstream section of Bicaz gravity dam that is 125 m high and creates a 1,500 hm{sup 3} reservoir, have been additionally built eight low head power stations interconnected by headrace and tailrace channels. These channels of 61 km total length convey water to and from the power stations and have been performed using embankment and excavation. The ground where these channels were located is of sandy clay nature with gypseous layers intercalation. The geometrical characteristics of the channels are as follows: trapezoidal section of 1V:2H slope and 6 m width at base, the water head ranging between 4 and 6 m. Both the apron and the channels slopes have been sealed using 5 x 4 m and 15 cm thick concrete slabs. Two or three slab rows are located under the water level. Channels were commissioned in 1964, and shortly after their commissioning, failures came forth and aggravated, calling for several repairs in more than 30 operation years. Concrete was exclusively damaged within the upper slabs in the area of variable water level in channel. All along the paper, there are mentioned only these slabs because the other ones in the submerged rows of slabs are practically undamaged.

Olteanu, A.; Dragomir, D. [ISPH, Design and Studies Institute for Hydro Power Projects, Bucharest (Romania); Hulea, D. [Romanian Electricity Authority, Bucharest (Romania)

1995-12-31T23:59:59.000Z

448

Solar Correction Factors of Building Envelope in Tebei  

E-Print Network [OSTI]

Tebei has very rich solar energy in China and needs heating in winter,but the present energy building design code has no solar correction factor for the overall heat transfer coefficient of building envelope for Tebei. Based on the typical year...

Wang, D.; Tang, M.

2006-01-01T23:59:59.000Z

449

Similarity of Position Frequency Matrices for Transcription Factor Binding Sites  

E-Print Network [OSTI]

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

450

OPTIMALITY, COMPUTATION, AND INTERPRETATION OF NONNEGATIVE MATRIX FACTORIZATIONS  

E-Print Network [OSTI]

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

Plemmons, Robert J.

451

OPTIMALITY, COMPUTATION, AND INTERPRETATION OF NONNEGATIVE MATRIX FACTORIZATIONS  

E-Print Network [OSTI]

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

452

Original article Risk factors for methicillin-resistant Staphylococcus aureus  

E-Print Network [OSTI]

Original article Risk factors for methicillin-resistant Staphylococcus aureus (MRSA) infection-resistant Staphylococcus aureus (MRSA) infection in dogs and cats were investigated in an unmatched case-control study MRSA cases and 92 controls with methicillin-susceptible S. aureus (MSSA) infection. The association

Boyer, Edmond

453

Measuring Project Quality Factors Critical to Project Success  

E-Print Network [OSTI]

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

Calgary, University of

454

Measurements of Form Factors with the BaBar Experiment  

SciTech Connect (OSTI)

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

Li, Selina Z.; /SLAC

2011-08-25T23:59:59.000Z

455

Solar Neutrino Fluxes Using The Exponential S-Factor  

SciTech Connect (OSTI)

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

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

2006-07-12T23:59:59.000Z

456

Computing prime factors with a Josephson phase qubit quantum processor  

E-Print Network [OSTI]

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

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

2012-02-26T23:59:59.000Z

457

Improvement of Photon Buildup Factors for Radiological Assessment  

SciTech Connect (OSTI)

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

F.G. Schirmers

2006-07-01T23:59:59.000Z

458

Carbon Nanotubes as Ultrahigh Quality Factor Mechanical Resonators  

E-Print Network [OSTI]

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

459

ON THE GAGE FACTOR FOR OPTICAL FIBER GRATING STRAIN GAGES  

E-Print Network [OSTI]

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

Park, Yong-Lae

460

Factors Contributing to Petroleum Foaming. 1. Crude Oil Systems  

E-Print Network [OSTI]

of the crude oil and the type of separation scheme used, foaming problems can curtail crude oil productionFactors Contributing to Petroleum Foaming. 1. Crude Oil Systems Michael K. Poindexter,*, Nael N, Raleigh, North Carolina 27695 Received August 28, 2001 Gas/oil separation can often be accompanied

Kilpatrick, Peter K.

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


461

Nucleon form factors program with SBS at JLAB  

SciTech Connect (OSTI)

The physics of the nucleon form factors is the basic part of the Jefferson Laboratory program. We review the achievements of the 6-GeV era and the program with the 12- GeV beam with the SBS spectrometer in Hall A, with a focus on the nucleon ground state properties.

Wojtsekhowski, Bogdan B. [JLAB

2014-12-01T23:59:59.000Z

462

Factors Contributing to Petroleum Foaming. 2. Synthetic Crude Oil Systems  

E-Print Network [OSTI]

to the petroleum industry. Nonaqueous foams occur in the production of and refining of crude oil. Crude oil foamsFactors Contributing to Petroleum Foaming. 2. Synthetic Crude Oil Systems Nael N. Zaki, Michael K can pose major problems for operators of gas/oil separation plants, causing a loss of crude

Kilpatrick, Peter K.

463

The Influence of Non-technical Factors on Code Review  

E-Print Network [OSTI]

The Influence of Non-technical Factors on Code Review Olga Baysal, Oleksii Kononenko, Reid Holmes, personal and organizational aspects, WebKit, open source software I. INTRODUCTION Many software development research has found that organizational structure can influence software quality. Nagappan et al

Godfrey, Michael W.

464

A Comprehensive Contribution Factor Method for Congestion Management  

E-Print Network [OSTI]

be combined with demand side (load) management to solve the congestion. The congestion management scheme generator re-dispatching alone or combined with demand side management due to the availability of load1 A Comprehensive Contribution Factor Method for Congestion Management H. Song, Student Member

465

Proximate Population Factors and Deforestation in Tropical Agricultural Frontiers  

E-Print Network [OSTI]

Proximate Population Factors and Deforestation in Tropical Agricultural Frontiers David L. Carr are significantly associated at the global and regional scales, evidence for population links to deforestation of thought on population­environment theories relevant to deforestation in tropical agricultural frontiers

Lopez-Carr, David

466

Prediction and Informative Risk Factor Selection of Bone Diseases  

E-Print Network [OSTI]

data and use these integrated features to effectively predict osteoporosis and bone fractures. We; disease memory; osteoporosis; bone fracture. ! 1 INTRODUCTION Risk factor (RF) analysis based on patients on the study of osteoporosis and bone fracture prediction. Over the past few decades, osteoporosis has been

Zhang, Aidong

467

SEISMIC WAVES ESTIMATION AND WAVE FIELD DECOMPOSITION WITH FACTOR GRAPHS  

E-Print Network [OSTI]

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

Loeliger, Hans-Andrea

468

Neoclassical Factors The Eli Broad College of Business  

E-Print Network [OSTI]

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

Chaudhuri, Sanjay

469

Factorization and resummation for collinear poles in QCD amplitudes  

SciTech Connect (OSTI)

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

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

2008-05-28T23:59:59.000Z

470

Discovering Life Cycle Assessment Trees from Impact Factor Databases  

E-Print Network [OSTI]

and degradation of the envi- ronment. Life cycle assessment (LCA) is a methodol- ogy for quantifying multiple to quantifying broad envi- ronmental impacts is the method of life cycle assessment (LCA) (Baumann and TillmanDiscovering Life Cycle Assessment Trees from Impact Factor Databases Naren Sundaravaradan

471

A PM10 emission factor for free stall dairies  

E-Print Network [OSTI]

was determined using the Coulter Counter Multisizer. The results of this process was a representative dairy PM PSD with 28% of TSP emissions being PM10. The reported PM10 24-hour emission factors were 4.7 kg/1000hd/day for the free-stall areas of the facility...

Goodrich, Lee Barry

2006-08-16T23:59:59.000Z

472

RARE EARTH ELEMENT SENSITIVITY FACTORS IN CALCIC PLAGIOCLASE (ANORTHITE)  

E-Print Network [OSTI]

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

473

Factors Influencing Productivity and Operating Cost of Demand Responsive Transit  

E-Print Network [OSTI]

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

Dessouky, Maged

474

Factorization law for two lower bounds of concurrence  

SciTech Connect (OSTI)

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

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

2010-09-15T23:59:59.000Z

475

CALL FOR PAPERS HUMAN FACTORS IN SOFTWARE DEVELOPMENT  

E-Print Network [OSTI]

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

Vellekoop, Michel

476

ELECTRICITY CASE: ECONOMIC COST ESTIMATION FACTORS FOR ECONOMIC  

E-Print Network [OSTI]

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

Wang, Hai

477

Time and Energy Efficient Matrix Factorization using FPGAs  

E-Print Network [OSTI]

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

Prasanna, Viktor K.

478

Climate and Hydrological Factors Affecting Variation in Chlorophyll  

E-Print Network [OSTI]

in the region, accompanied by scant wastewater treatment. In contrast, water clarity increased significantlyClimate and Hydrological Factors Affecting Variation in Chlorophyll Concentration and Water Clarity organisms. In the Caribbean, changes in nutrient loading that result from rapid development are thought

Collin, Rachel

479

Is G a conversion factor or a fundamental unit?  

E-Print Network [OSTI]

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

G. Fiorentini; L. Okun; M. Vysotsky

2001-12-04T23:59:59.000Z

480

Optimization Methods for Binary Sequences The Merit Factor Problem  

E-Print Network [OSTI]

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

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


481

Panel Damping Loss Factor Estimation Using The Random Decrement Technique  

E-Print Network [OSTI]

The use of the Random Decrement Technique (RDT) for estimating panel damping loss factors ranging from 1% to 10% is examined in a systematic way, with a focus on establishing the various parameters one must specify to use the technique to the best...

Dande, Himanshu Amol

2010-12-10T23:59:59.000Z

482

Ecological factors and human threats both drive wildfowl population declines  

E-Print Network [OSTI]

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

483

Human Factors Evaluation of Advanced Electric Power Grid Visualization Tools  

SciTech Connect (OSTI)

This report describes initial human factors evaluation of four visualization tools (Graphical Contingency Analysis, Force Directed Graphs, Phasor State Estimator and Mode Meter/ Mode Shapes) developed by PNNL, and proposed test plans that may be implemented to evaluate their utility in scenario-based experiments.

Greitzer, Frank L.; Dauenhauer, Peter M.; Wierks, Tamara G.; Podmore, Robin

2009-04-01T23:59:59.000Z

484

Environmental Factors Affecting Tropical Cyclone Power Dissipation KERRY EMANUEL  

E-Print Network [OSTI]

- son 1974; Webster et al. 2005), and the Accumulated Cyclone Energy (ACE) index (Bell et al. 2000, the PDI is also accumulated over each year. Annually accumulated integral metrics such as ACE and PDI showEnvironmental Factors Affecting Tropical Cyclone Power Dissipation KERRY EMANUEL Program

Emanuel, Kerry A.

485

Factors affecting Iran`s future. Final report  

SciTech Connect (OSTI)

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

Sinai, J.

1993-05-28T23:59:59.000Z

486

Risk factors for injury accidents among moped and motorcycle riders  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

487

E-Print Network 3.0 - assessing factors influencing Sample Search...  

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

of technology... social and financial factors, which are integral attributes of the technology assessment, because almost... ) research identified eight factors that ......

488

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

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

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

489

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

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

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

490

Impact of individual, environmental, and policy level factors on healthcare utilization among United States farmworkers  

E-Print Network [OSTI]

of Individual, Environmental, and Policy Level Factors onof Individual, Environmental, and Policy Level Factors onindividual, environmental, and policy level correlates of

Hoerster, Katherine D.

2010-01-01T23:59:59.000Z

491

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

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

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

492

Effect of Environmental Factors on Sulfur Gas Emissions from Drywall  

SciTech Connect (OSTI)

Problem drywall installed in U.S. homes is suspected of being a source of odorous and potentially corrosive indoor pollutants. The U.S. Consumer Product Safety Commission's (CPSC) investigation of problem drywall incorporates three parallel tracks: (1) evaluating the relationship between the drywall and reported health symptoms; (2) evaluating the relationship between the drywall and electrical and fire safety issues in affected homes; and (3) tracing the origin and the distribution of the drywall. To assess the potential impact on human health and to support testing for electrical and fire safety, the CPSC has initiated a series of laboratory tests that provide elemental characterization of drywall, characterization of chemical emissions, and in-home air sampling. The chemical emission testing was conducted at Lawrence Berkeley National Laboratory (LBNL). The LBNL study consisted of two phases. In Phase 1 of this study, LBNL tested thirty drywall samples provided by CPSC and reported standard emission factors for volatile organic compounds (VOCs), aldehydes, reactive sulfur gases (RSGs) and volatile sulfur compounds (VSCs). The standard emission factors were determined using small (10.75 liter) dynamic test chambers housed in a constant temperature environmental chamber. The tests were all run at 25 C, 50% relative humidity (RH) and with an area-specific ventilation rate of {approx}1.5 cubic meters per square meter of emitting surface per hour [m{sup 3}/m{sup 2}/h]. The thirty samples that were tested in Phase 1 included seventeen that were manufactured in China in 2005, 2006 and 2009, and thirteen that were manufactured in North America in 2009. The measured emission factors for VOCs and aldehydes were generally low and did not differ significantly between the Chinese and North American drywall. Eight of the samples tested had elevated emissions of volatile sulfur-containing compounds with total RSG emission factors between 32 and 258 micrograms per square meter per hour [{micro}g/m{sup 2}/h]. The dominant sulfur containing compounds in the RSG emission stream were hydrogen sulfide with emission factors between 17-201 {micro}g/m{sup 2}/h, and sulfur dioxide with emission factors between 8-64 {micro}g/m{sup 2}/h. The four highest emitting samples also had a unique signature of VSC emissions including > 40 higher molecular weight sulfur-containing compounds although the emission rate for the VSCs was several orders of magnitude lower than that of the RSGs. All of the high emitting drywall samples were manufactured in China in 2005-2006. Results from Phase 1 provided baseline emission factors for drywall samples manufactured in China and in North America but the results exclude variations in environmental conditions that may exist in homes or other built structures, including various combinations of temperature, RH, ventilation rate and the influence of coatings such as texture and paints. The objective of Phase 2 was to quantify the effect of temperature and RH on the RSG emission factors for uncoated drywall, and to measure the effect of plaster and paint coatings on RSG emission factors from drywall. Additional experiments were also performed to assess the influence of ventilation rate on measured emission factors for drywall.

Maddalena, Randy

2011-08-20T23:59:59.000Z

493

Human factors review for Severe Accident Sequence Analysis (SASA)  

SciTech Connect (OSTI)

The paper will discuss work being conducted during this human factors review including: (1) support of the Severe Accident Sequence Analysis (SASA) Program based on an assessment of operator actions, and (2) development of a descriptive model of operator severe accident management. Research by SASA analysts on the Browns Ferry Unit One (BF1) anticipated transient without scram (ATWS) was supported through a concurrent assessment of operator performance to demonstrate contributions to SASA analyses from human factors data and methods. A descriptive model was developed called the Function Oriented Accident Management (FOAM) model, which serves as a structure for bridging human factors, operations, and engineering expertise and which is useful for identifying needs/deficiencies in the area of accident management. The assessment of human factors issues related to ATWS required extensive coordination with SASA analysts. The analysis was consolidated primarily to six operator actions identified in the Emergency Procedure Guidelines (EPGs) as being the most critical to the accident sequence. These actions were assessed through simulator exercises, qualitative reviews, and quantitative human reliability analyses. The FOAM descriptive model assumes as a starting point that multiple operator/system failures exceed the scope of procedures and necessitates a knowledge-based emergency response by the operators. The FOAM model provides a functionally-oriented structure for assembling human factors, operations, and engineering data and expertise into operator guidance for unconventional emergency responses to mitigate severe accident progression and avoid/minimize core degradation. Operators must also respond to potential radiological release beyond plant protective barriers. Research needs in accident management and potential uses of the FOAM model are described. 11 references, 1 figure.

Krois, P.A.; Haas, P.M.; Manning, J.J.; Bovell, C.R.

1984-01-01T23:59:59.000Z

494

Engineering phenolics metabolism in the grasses using transcription factors  

SciTech Connect (OSTI)

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

Grotewold, Erich [The Ohio State University

2013-07-26T23:59:59.000Z

495

1) The overhead view of the chimney looks like this: Six bricks are needed to create each row, and there are five rows, so there are 65  

E-Print Network [OSTI]

the BMW Roadster would increase. Explanation: If the first door you picked had the BMW Roadster behind not been opened, you get the BMW roadster. So you would have a two out of three chance of getting the BMW

Kunkle, Tom

496

Dirac equation in low dimensions: The factorization method  

E-Print Network [OSTI]

We present a general approach to solve the (1+1) and (2+1)-dimensional Dirac equation in the presence of static scalar, pseudoscalar and gauge potentials, for the case in which the potentials have the same functional form and thus the factorization method can be applied. We show that the presence of electric potentials in the Dirac equation leads to a two Klein-Gordon equations including an energy-dependent potential. We then generalize the factorization method for the case of energy-dependent Hamiltonians. Additionally, the shape invariance is generalized for a specific class of energy-dependent Hamiltonians. We also present a condition for the absence of the Klein's paradox (stability of the Dirac sea), showing how Dirac particles in low dimensions can be confined for a wide family of potentials.

J. A. Sanchez-Monroy; C. J. Quimbay

2014-09-30T23:59:59.000Z

497

Simple LMFBR axial-flow friction-factor correlation  

SciTech Connect (OSTI)

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

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

1982-12-01T23:59:59.000Z

498

The quantum walk search algorithm: Factors affecting efficiency  

E-Print Network [OSTI]

We numerically study the quantum walk search algorithm of Shenvi, Kempe and Whaley [PRA \\textbf{67} 052307] and the factors which affect its efficiency in finding an individual state from an unsorted set. Previous work has focused purely on the effects of the dimensionality of the dataset to be searched. Here, we consider the effects of interpolating between dimensions, connectivity of the dataset, and the possibility of disorder in the underlying substrate: all these factors affect the efficiency of the search algorithm. We show that, as well as the strong dependence on the spatial dimension of the structure to be searched, there are also secondary dependencies on the connectivity and symmetry of the lattice, with greater connectivity providing a more efficient algorithm. In addition, we also show that the algorithm can tolerate a non-trivial level of disorder in the underlying substrate.

Neil B. Lovett; Matthew Everitt; Robert M. Heath; Viv Kendon

2011-10-21T23:59:59.000Z

499

Meson cloud contributions to baryon axial form factors  

E-Print Network [OSTI]

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

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

2014-08-01T23:59:59.000Z

500

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

E-Print Network [OSTI]

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

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

2012-10-24T23:59:59.000Z