Sample records for factor percent type

  1. Soil type: Metabasic soils have 50 to 80 percent more mineralizable C than granitic soils. The same soils appear to more efficiently retain TN and some TOC at greater depths. Very low DOC in both soils indicate efficient C utilization and incorporation in

    E-Print Network [OSTI]

    Norton, Jay B.

    Soil type: Metabasic soils have 50 to 80 percent more mineralizable C than granitic soils. The same indicate efficient C utilization and incorporation in microbial or SOM pools. Greater mineral N in granite percent. There is not evidence of the impact of increased available C on TOC in granitic soils. Soil

  2. Prospective Study of Social and Other Risk Factors for Incidence of Type 2 Diabetes

    E-Print Network [OSTI]

    Brown, Lucy L.

    Prospective Study of Social and Other Risk Factors for Incidence of Type 2 Diabetes in the incidence of type 2 diabetes and the relation of health behaviors and psy- chosocial factors to the incidence of type 2 diabetes are not well established. Methods: Prospective occupational cohort study

  3. "EIA-914 Production Weighted Response Rates, Percent"

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

    EIA-914 Production Weighted Response Rates, Percent" "Areas",38353,38384,38412,38443,38473,38504,38534,38565,38596,38626,38657,38687,38718,38749,38777,"application...

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

    E-Print Network [OSTI]

    Lohaus, James Harold

    1999-01-01T23:59:59.000Z

    The dynamic shape factors of HYDOX-generated plutonium dioxide-type non-spherical objects were estimated with computational methods. Leith's empirical methods were used to modify classical Stokes's law for aerosol dynamics (1987). The dynamic shape...

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

    E-Print Network [OSTI]

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

    1946-01-01T23:59:59.000Z

    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...

  6. Comparison of the percent recoveries of activated charcoal and Spherocarb after storage utilizing thermal desorption

    E-Print Network [OSTI]

    Stidham, Paul Emery

    1980-01-01T23:59:59.000Z

    between the two adsorbents. The parameters of storage in- cluded various durations of time, temperatures, and concentrations. Rather than the present conventional solvent desorption methods, thermal desorption was used in the analysis of samples... Duncan's Multiple Range Test For Variable Percent. 32 6 Mean Percent Recoveries For The Interaction Between Type Of Adsorbent And Storage Time . 7 Mean Percent Recoveries For The Interaction Between Sample Concentration And Storage Time. 39 40 8...

  7. Posting type Advisory Subject Shifts in Mo-anode XRF element calibration factors

    E-Print Network [OSTI]

    Fischer, Emily V.

    Posting type Advisory Subject Shifts in Mo-anode XRF element calibration factors Module/Species A@crocker.ucdavis.edu Supporting information A molybdenum-anode XRF instrument is used to analyze the heavier elements (Ni, Cu, Zn with lighter deposits were acquired and used in the Mo-anode XRF system. The new calibration foils resulted

  8. Federal Government Increases Renewable Energy Use Over 1000 Percent...

    Office of Environmental Management (EM)

    Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal Federal Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal...

  9. Trefoil factor 2 rapidly induces interleukin 33 to promote type 2 immunity during allergic asthma and hookworm infection

    E-Print Network [OSTI]

    Wills-Karp, Marsha

    The molecular mechanisms that drive mucosal T helper type 2 (T[subscript H]2) responses against parasitic helminths and allergens remain unclear. In this study, we demonstrate in mice that TFF2 (trefoil factor 2), an ...

  10. Daintain/AIF-1 (Allograft Inflammatory Factor-1) accelerates type 1 diabetes in NOD mice

    SciTech Connect (OSTI)

    Zhao, Yan-Ying, E-mail: biozyy@163.com [College of Life Science and Technology, Southwest University for Nationalities, Chengdu 610041 (China)] [College of Life Science and Technology, Southwest University for Nationalities, Chengdu 610041 (China); Huang, Xin-Yuan [College of Life Science and Technology, Hubei Engineering University, Xiaogan 432000 (China)] [College of Life Science and Technology, Hubei Engineering University, Xiaogan 432000 (China); Chen, Zheng-Wang [Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074 (China)] [Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074 (China)

    2012-10-26T23:59:59.000Z

    Highlights: Black-Right-Pointing-Pointer Daintain/AIF-1 is over-expressed in the blood of NOD mice suffering from insulitis. Black-Right-Pointing-Pointer Daintain/AIF-1 stimulates white blood cell proliferation in NOD mice. Black-Right-Pointing-Pointer Daintain/AIF-1 increases blood glucose levels and triggers type 1 diabetes. Black-Right-Pointing-Pointer Daintain/AIF-1 accelerates insulitis, while its antibody prevents insulitis. Black-Right-Pointing-Pointer Daintain/AIF-1 enhances the levels of nitric oxide in the pancreases of NOD mice. -- Abstract: A large body of experimental evidence suggests that cytokines trigger pancreatic {beta}-cell death in type 1 diabetes mellitus. Daintain/AIF-1 (Allograft Inflammatory Factor-1), a specific marker for activated macrophages, is accumulated in the pancreatic islets of pre-diabetic BB rats. In the present study, we demonstrate that daintain/AIF-1 is released into blood and the levels of daintain/AIF-1 in the blood of type 1 diabetes-prone non-obese diabetic (NOD) mice suffering from insulitis are significantly higher than that in healthy NOD mice. When injected intravenously into NOD mice, daintain/AIF-1 stimulates white blood cell proliferation, increases the concentrations of blood glucose, impairs insulin expression, up-regulates nitric oxide (NO) production in pancreases and accelerates diabetes in NOD mice, while the antibody against daintain/AIF-1 delays or prevents insulitis in NOD mice. These results imply daintain/AIF-1 triggers type 1 diabetes probably via arousing immune cells activation and induction of NO production in pancreas of NOD mice.

  11. Monte Carlo calculations of electron beam quality conversion factors for several ion chamber types

    SciTech Connect (OSTI)

    Muir, B. R., E-mail: Bryan.Muir@nrc-cnrc.gc.ca [Measurement Science and Standards, National Research Council Canada, 1200 Montreal Road, Ottawa, Ontario K1A 0R6 (Canada); Rogers, D. W. O., E-mail: drogers@physics.carleton.ca [Carleton Laboratory for Radiotherapy Physics, Physics Department, Carleton University, 1125 ColonelBy Drive, Ottawa, Ontario K1S 5B6 (Canada)

    2014-11-01T23:59:59.000Z

    Purpose: To provide a comprehensive investigation of electron beam reference dosimetry using Monte Carlo simulations of the response of 10 plane-parallel and 18 cylindrical ion chamber types. Specific emphasis is placed on the determination of the optimal shift of the chambers’ effective point of measurement (EPOM) and beam quality conversion factors. Methods: The EGSnrc system is used for calculations of the absorbed dose to gas in ion chamber models and the absorbed dose to water as a function of depth in a water phantom on which cobalt-60 and several electron beam source models are incident. The optimal EPOM shifts of the ion chambers are determined by comparing calculations of R{sub 50} converted from I{sub 50} (calculated using ion chamber simulations in phantom) to R{sub 50} calculated using simulations of the absorbed dose to water vs depth in water. Beam quality conversion factors are determined as the calculated ratio of the absorbed dose to water to the absorbed dose to air in the ion chamber at the reference depth in a cobalt-60 beam to that in electron beams. Results: For most plane-parallel chambers, the optimal EPOM shift is inside of the active cavity but different from the shift determined with water-equivalent scaling of the front window of the chamber. These optimal shifts for plane-parallel chambers also reduce the scatter of beam quality conversion factors, k{sub Q}, as a function of R{sub 50}. The optimal shift of cylindrical chambers is found to be less than the 0.5 r{sub cav} recommended by current dosimetry protocols. In most cases, the values of the optimal shift are close to 0.3 r{sub cav}. Values of k{sub ecal} are calculated and compared to those from the TG-51 protocol and differences are explained using accurate individual correction factors for a subset of ion chambers investigated. High-precision fits to beam quality conversion factors normalized to unity in a beam with R{sub 50} = 7.5 cm (k{sub Q}{sup ?}) are provided. These factors avoid the use of gradient correction factors as used in the TG-51 protocol although a chamber dependent optimal shift in the EPOM is required when using plane-parallel chambers while no shift is needed with cylindrical chambers. The sensitivity of these results to parameters used to model the ion chambers is discussed and the uncertainty related to the practical use of these results is evaluated. Conclusions: These results will prove useful as electron beam reference dosimetry protocols are being updated. The analysis of this work indicates that cylindrical ion chambers may be appropriate for use in low-energy electron beams but measurements are required to characterize their use in these beams.

  12. Effects of pelleting, dietary protein level and unidentified factors on feed cost and the performance of egg type layers

    E-Print Network [OSTI]

    Karunajeewa, Hector

    1961-01-01T23:59:59.000Z

    EFFECTS OF PELLETING, DIETARY PROTEIN LEVEL AND UNIDENTIFIED FACTORS ON FEED COST AND THE PERFORMANCE OF EGG TYPE LAYERS A Thesis by Hector Reruns]eewa Submitted to the Graduate School of the Agricultural and Mechanical College of Texas... in Partial Fulfillment of the requirements for the Degree of Master of Science August 1961 Ma)or Sub)ect - Poultry Science EPPECTS OP PELLETING, DIETARY PROTEIN LEVEL AND DNIDENTIPTED FACTORS ON PEED COST AND THE PERFORNANCE OP BIN' TTPE LAYERS A...

  13. Table B29. Percent of Floorspace Cooled, Number of Buildings and Floorspace, 199

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2".9. Percent of

  14. Table B30. Percent of Floorspace Lit When Open, Number of Buildings and Floorspa

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2".9. Percent of.0.

  15. Lattice calculation of the pion form factor with Ginsparg-Wilson-type fermions

    SciTech Connect (OSTI)

    Capitani, Stefano; Gattringer, Christof; Lang, C.B. [Institut fuer Physik, FB Theoretische Physik, Universitaet Graz, A-8010 Graz (Austria)

    2006-02-01T23:59:59.000Z

    Results for Monte Carlo calculations of the electromagnetic vector and scalar form factors of the pion in a quenched simulation are presented. We work with two different lattice volumes up to a spatial size of 2.4 fm at a lattice spacing of 0.148 fm. The pion form factors in the spacelike region are determined for pion masses down to 340 MeV.

  16. A lattice calculation of the pion form factor with Ginsparg-Wilson-type fermions

    E-Print Network [OSTI]

    Stefano Capitani; Christof Gattringer; C. B. Lang

    2006-02-03T23:59:59.000Z

    Results for Monte Carlo calculations of the electromagnetic vector and scalar form factors of the pion in a quenched simulation are presented. We work with two different lattice volumes up to a spatial size of 2.4 fm at a lattice spacing of 0.148 fm. The pion form factors in the space-like region are determined for pion masses down to 340 MeV.

  17. Anthropometric measures and lipid coronary heart disease risk factors in Korean immigrants with type 2 diabetes.

    E-Print Network [OSTI]

    Choi, Sarah

    2011-01-01T23:59:59.000Z

    and Prevention. National Diabetes Fact Sheet, 2007. Atlanta,2010]. http://www.cdc.gov/Diabetes/pubs/factsheet07.htm 2.a major burden in type 2 diabetes. Acta Diabetol. 2001; 38(

  18. Risk factors for cognitive decline in older people with type 2 diabetes 

    E-Print Network [OSTI]

    Feinkohl, Insa

    2014-07-05T23:59:59.000Z

    People with type 2 diabetes are at increased risk of age-related cognitive impairment. Previous literature has focused on case-control studies comparing rates of cognitive impairment in patients with and without diabetes. ...

  19. Relationship among religious coping, psychosocial factors, and quality of life in individuals with type 2 diabetes

    E-Print Network [OSTI]

    Lager, Julia M.

    2009-06-02T23:59:59.000Z

    The purpose of this study was to examine the relationship among religious coping, acceptance of diabetes, social support, diabetes management, and quality of life among individuals with type 2 diabetes (T2DM). Religious coping, acceptance...

  20. Large Thermoelectric Power Factor in P-type Si (110)/[110] Ultra-Thin-Layers Compared to Differently Oriented Channels

    E-Print Network [OSTI]

    1 Large Thermoelectric Power Factor in P-type Si (110)/[110] Ultra-Thin-Layers Compared the thermoelectric power factor of ultra-thin-body p-type Si layers of thicknesses from W=3nm up to 10nm. We show improvement in 2D thin- layers of zincblende semiconductors. Keywords: low-dimensional thermoelectrics

  1. Ways to Increase Percent Calf Crop in Beef Cattle.

    E-Print Network [OSTI]

    Beverly, John R.

    1973-01-01T23:59:59.000Z

    in young heifers shows a marked increase in breeding efficiency. Work at the University of Arizona on rebreeding first calf heifers supports this data. Arizona work showed 79 percent pregnancy rates in heifers with calves early weaned and 46 percent... mo. mo. mo. mo. mo. mo. mo. mo. Low level Angus 0 0 0 33 82 90100100 Hereford 0 11 22 33 38 50 100 100 Crossbreed 0 0 12 68 85 100 100 100 Setting some arbitrary age at which t heifers is not the solution. The outcome would largely on how...

  2. Percent of Commercial Natural Gas Deliveries in Washington Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice (Percent)the

  3. Percent of Commercial Natural Gas Deliveries in West Virginia Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice (Percent)theby

  4. Brush types of the Nueces River watershed as related to soil, climatic and geological factors

    E-Print Network [OSTI]

    Huss, Donald Lee

    1959-01-01T23:59:59.000Z

    Savanna . 21 3. Mesquite-Chaparral 23 4. Mesquite Woodland 28 5. Switch Mesquite 29 6. Running Mesquite 30 7. Scrub Mesquite 31 Communities with Live oak dominant 32 8. Live oak-Mesquite Savanna 32 9. Mesquite-Live oak-Chaparral 33 10. Live oak...-Guajillo Chaparral 34 11. Live oak-Post oak-Mesquite Woodland 35 Communities with Post oak dominant 35 12. Post oak-Blackjack oak Woodland 37 CHAPARRAL SHRUB COMMUNITIES 37 13. Guajillo Chaparral 39 14. Blackbrush Chaparral 39 SUFFRUTESCENT VEGETATIONAL TYPES...

  5. Brush types of the Nueces River watershed as related to soil, climatic and geological factors 

    E-Print Network [OSTI]

    Huss, Donald Lee

    1959-01-01T23:59:59.000Z

    Savanna . 21 3. Mesquite-Chaparral 23 4. Mesquite Woodland 28 5. Switch Mesquite 29 6. Running Mesquite 30 7. Scrub Mesquite 31 Communities with Live oak dominant 32 8. Live oak-Mesquite Savanna 32 9. Mesquite-Live oak-Chaparral 33 10. Live oak...-Guajillo Chaparral 34 11. Live oak-Post oak-Mesquite Woodland 35 Communities with Post oak dominant 35 12. Post oak-Blackjack oak Woodland 37 CHAPARRAL SHRUB COMMUNITIES 37 13. Guajillo Chaparral 39 14. Blackbrush Chaparral 39 SUFFRUTESCENT VEGETATIONAL TYPES...

  6. Discovery, linkage disequilibrium and association analyses of polymorphisms of the immune complement inhibitor, decay-accelerating factor gene (DAF/CD55) in type 1 diabetes

    E-Print Network [OSTI]

    Taniguchi, Hidenori; Lowe, Christopher E; Cooper, Jason D; Smyth, Deborah J; Bailey, Rebecca; Nutland, Sarah; Healy, Barry C; Lam, Alex C; Burren, Oliver; Walker, Neil M; Smink, Luc J; Wicker, Linda S; Todd, John A

    2006-04-20T23:59:59.000Z

    Abstract Background Type 1 diabetes (T1D) is a common autoimmune disease resulting from T-cell mediated destruction of pancreatic beta cells. Decay accelerating factor (DAF, CD55), a glycosylphosphatidylinositol-anchored membrane protein, is a...

  7. Percent of Commercial Natural Gas Deliveries in Louisiana Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Aprthe Price

  8. Percent of Commercial Natural Gas Deliveries in Massachusetts Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar

  9. Percent of Commercial Natural Gas Deliveries in Minnesota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb MarPricethe

  10. Percent of Commercial Natural Gas Deliveries in Mississippi Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb MarPricethethe

  11. Percent of Commercial Natural Gas Deliveries in New Hampshire Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan FebPricePricePriceby

  12. Percent of Commercial Natural Gas Deliveries in North Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe PricePriceby the

  13. Percent of Commercial Natural Gas Deliveries in Pennsylvania Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethe Price

  14. Percent of Commercial Natural Gas Deliveries in South Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethe

  15. Percent of Commercial Natural Gas Deliveries in Tennessee Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethethe

  16. Percent of Commercial Natural Gas Deliveries in Wisconsin Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice

  17. PERCENT FEDERAL LAND FOR OIL/GAS FIELD OUTLINES

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15LiquidBGOperablePERCENT FEDERAL LAND FOR

  18. Percent of Commercial Natural Gas Deliveries in Louisiana Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Mar AprPricePrice (Percent)the

  19. Percent of Commercial Natural Gas Deliveries in New Hampshire Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Marby the Price (Percent)

  20. Percent of Industrial Natural Gas Deliveries in Connecticut Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb MarbyPrice (Percent)the Price

  1. Percent of Industrial Natural Gas Deliveries in Connecticut Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb MarbyPrice (Percent)the

  2. Percent of Industrial Natural Gas Deliveries in Louisiana Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePrice (Percent)the Price

  3. Percent of Industrial Natural Gas Deliveries in Louisiana Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePrice (Percent)the

  4. Percent of Industrial Natural Gas Deliveries in New Hampshire Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Jan Feb Marby

  5. Percent of Industrial Natural Gas Deliveries in New Hampshire Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Jan Feb

  6. Percent of Industrial Natural Gas Deliveries in North Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year JanthePriceby

  7. Percent of Industrial Natural Gas Deliveries in North Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year

  8. Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricethe Price

  9. Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricethe Pricethe

  10. Percent of Industrial Natural Gas Deliveries in South Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricetheby the Price

  11. Percent of Industrial Natural Gas Deliveries in South Carolina Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricetheby the

  12. Percent of Industrial Natural Gas Deliveries in Tennessee Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricetheby

  13. Percent of Industrial Natural Gas Deliveries in Tennessee Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricethebythe Price

  14. Percent of Industrial Natural Gas Deliveries in Washington Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent) YearPricethe

  15. Percent of Industrial Natural Gas Deliveries in Washington Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)

  16. Percent of Industrial Natural Gas Deliveries in West Virginia Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by the Price

  17. Percent of Industrial Natural Gas Deliveries in West Virginia Represented

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by the Priceby

  18. Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by the

  19. Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by thethe Price

  20. Table 2. Percent of Households with Vehicles, Selected Survey Years

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade21752 2,616 January 1996 January1996Percent

  1. U.S. Natural Gas % of Total Residential Deliveries (Percent)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion Cubic Feet) U.S.Developmental WellsYear JanDeliveries (Percent)

  2. Table B28. Percent of Floorspace Heated, Number of Buildings and Floorspace, 199

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2".

  3. Ninety - Two Percent Minimum Heater Efficiency By 1980

    E-Print Network [OSTI]

    Mieth, H. C.; Hardie, J. E.

    1980-01-01T23:59:59.000Z

    exchangers used to transfer heat to tqe com- I bustion air are divided into two groups. IndiIlect ! heat exchangers called "regenerative" types an~ direct heat exchangers called "recuperative" types. In a regenerative air heater, heat is transferred i...~duced I draft, air preheat system. This system can ac~omodate either a regenerative or recuperative air heater and ! Fig. 5 - Heat recovery systems. 857 ESL-IE-80-04-157 Proceedings from the Second Industrial Energy Technology Conference Houston, TX...

  4. Ninety - Two Percent Minimum Heater Efficiency By 1980 

    E-Print Network [OSTI]

    Mieth, H. C.; Hardie, J. E.

    1980-01-01T23:59:59.000Z

    is essential. The system can be rearranged using a single I.D. fan for negative fire box operation. This type system can achieve very high effic~en? cies and has been ecconomically applied to units ioper ating below 10 MMBtu/hr. design capacity. Corro...

  5. Near Zero Emissions at 50 Percent Thermal Efficiency

    SciTech Connect (OSTI)

    None

    2012-12-31T23:59:59.000Z

    Detroit Diesel Corporation (DDC) has successfully completed a 10 year DOE sponsored heavy-duty truck engine program, hereafter referred to as the NZ-50 program. This program was split into two major phases. The first phase was called â??Near-Zero Emission at 50 Percent Thermal Efficiency,â? and was completed in 2007. The second phase was initiated in 2006, and this phase was named â??Advancements in Engine Combustion Systems to Enable High-Efficiency Clean Combustion for Heavy-Duty Engines.â? This phase was completed in September, 2010. The key objectives of the NZ-50 program for this first phase were to: â?¢ Quantify thermal efficiency degradation associated with reduction of engine-out NOx emissions to the 2007 regulated level of ~1.1 g/hp-hr. â?¢ Implement an integrated analytical/experimental development plan for improving subsystem and component capabilities in support of emerging engine technologies for emissions and thermal efficiency goals of the program. â?¢ Test prototype subsystem hardware featuring technology enhancements and demonstrate effective application on a multi-cylinder, production feasible heavy-duty engine test-bed. â?¢ Optimize subsystem components and engine controls (calibration) to demonstrate thermal efficiency that is in compliance with the DOE 2005 Joule milestone, meaning greater than 45% thermal efficiency at 2007 emission levels. â?¢ Develop technology roadmap for meeting emission regulations of 2010 and beyond while mitigating the associated degradation in engine fuel consumption. Ultimately, develop technical prime-path for meeting the overall goal of the NZ-50 program, i.e., 50% thermal efficiency at 2010 regulated emissions. These objectives were successfully met during the course of the NZ-50 program. The most noteworthy achievements in this program are summarized as follows: â?¢ Demonstrated technologies through advanced integrated experiments and analysis to achieve the technical objectives of the NZ-50 program with 50.2% equivalent thermal efficiency under EPA 2010 emissions regulations. â?¢ Experimentally demonstrate brake efficiency of 48.5% at EPA 2010 emission level at single steady-state point. â?¢ Analytically demonstrated additional brake efficiency benefits using advanced aftertreatment configuration concept and air system enhancement including, but not limited to, turbo-compound, variable valve actuator system, and new cylinder head redesign, thus helping to achieve the final program goals. â?¢ Experimentally demonstrated EPA 2010 emissions over FTP cycles using advanced integrated engine and aftertreatment system. These aggressive thermal efficiency and emissions results were achieved by applying a robust systems technology development methodology. It used integrated analytical and experimental tools for subsystem component optimization encompassing advanced fuel injection system, increased EGR cooling capacity, combustion process optimization, and advanced aftertreatment technologies. Model based controls employing multiple input and output techniques enabled efficient integration of the various subsystems and ensured optimal performance of each system within the total engine package. . The key objective of the NZ-50 program for the second phase was to explore advancements in engine combustion systems using high-efficiency clean combustion (HECC) techniques to minimize cylinder-out emissions, targeting a 10% efficiency improvement. The most noteworthy achievements in this phase of the program are summarized as follows: â?¢ Experimentally and analytically evaluated numerous air system improvements related to the turbocharger and variable valve actuation. Some of the items tested proved to be very successful and modifications to the turbine discovered in this program have since been incorporated into production hardware. â?¢ The combustion system development continued with evaluation of various designs of the 2-step piston bowl. Significant improvemen

  6. Human factors design, verification, and validation for two types of control room upgrades at a nuclear power plant

    SciTech Connect (OSTI)

    none,

    2014-10-01T23:59:59.000Z

    This paper describes the NUREG-0711 based human factors engineering (HFE) phases and associated elements required to support design, verification and validation (V&V), and implementation of a new plant process computer (PPC) and turbine control system (TCS) at a representative nuclear power plant. This paper reviews ways to take a human-system interface (HSI) specification and use it when migrating legacy PPC displays or designing displays with new functionality. These displays undergo iterative usability testing during the design phase and then undergo an integrated system validation (ISV) in a full scope control room training simulator. Following the successful demonstration of operator performance with the systems during the ISV, the new system is implemented at the plant, first in the training simulator and then in the main control room.

  7. PRESS RELEASES OF SENATOR PETE DOMENICI Domenici Supports 12 Percent Increase for Nuclear Energy, Disputes Fusion

    E-Print Network [OSTI]

    PRESS RELEASES OF SENATOR PETE DOMENICI Domenici Supports 12 Percent Increase for Nuclear Energy his support for a 12 percent increase in federal funding for nuclear energy research, but challenged of modern nuclear power plants. Domenici is chairman of the Energy and Water Development Appropriations

  8. If I generate 20 percent of my national electricity from wind...

    Open Energy Info (EERE)

    generate 20 percent of my national electricity from wind and solar - what does it do to my GDP and Trade Balance ? Home I think that the economics of fossil fuesl are well...

  9. Absolute Percent Error Based Fitness Functions for Evolving Forecast Models AndyNovobilski,Ph.D.

    E-Print Network [OSTI]

    Fernandez, Thomas

    Absolute Percent Error Based Fitness Functions for Evolving Forecast Models Andy computfi~gas a methodof data mining,is its intrinsic ability to drive modelselection accordingto a mixedset of criteria. Basedon natural selection, evolutionary computing utilizes evaluationof candidatesolutions

  10. Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent...

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

    Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total Electricity Production in Texas, April 2011 Impacts of Increasing Natural Gas Fueled CHP from 20 to 35...

  11. Effects of time constraint and percent defective on visual inspection performance

    E-Print Network [OSTI]

    Gilmore, Walter Edgar

    1982-01-01T23:59:59.000Z

    EFFECTS OF TIME CONSTRAINT AND PERCENT DEFECTIVE ON VISUAL INSPECTION PERFORMANCE A Thesis by WALTER EDGAR GILMORE II Submitted to the Graduate College of Texas ABM University in partial fulfillment of the requirement for the degree MASTER... OF SCIENCE August 1982 Major Subject: Industrial Engineering EFFECTS OF TIME CONSTRAINT AND PERCENT DEFECTIVE ON VISUAL INSPECTION PERFORMANCE A Thesis by WALTER EDGAR GILMORE II Approved as to sty1e and content by: Chairman of Committ e) (Memb r...

  12. Public Health FAT FACTORS

    E-Print Network [OSTI]

    Qian, Ning

    : 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

  13. Coal deposit characterization by gamma-gamma density/percent dry ash relationships

    E-Print Network [OSTI]

    Wright, David Scott

    1984-01-01T23:59:59.000Z

    Density/Ash Relationship . APPLICATION OF THE GAMMA-GAMMA DENSITY/PERCENT DRY ASH RELATIONSHIPS The Density/Ash Relationship of a South Texas Lignite Deposit Characterization of a South Texas Lignite Deposit CONCLUSIONS REFERENCES. 52 53 53 53... 58 64 67 6g 80 87 LIST OF TABLES TABLE I Coal Classification by Rank. 2 Common Minerals in Coal. 3 Results of Linear Regression Analyses for a South Texas Lignite Deposit. 4 Variability of Geophysica11y-Derived Percent Dry Ash Values...

  14. Percent of Commercial Natural Gas Deliveries in Vermont Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice (Percent) Year

  15. Percent of Commercial Natural Gas Deliveries in Virginia Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPrice (Percent)

  16. Percent of Commercial Natural Gas Deliveries in Wyoming Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) YearPricePrice (Percent)

  17. Percent of Industrial Natural Gas Deliveries in Oregon Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Price (Percent)

  18. have risen by about 15 percent. These increases, which tend to remain in the atmo-

    E-Print Network [OSTI]

    States emitted 25 percent of the total global greenhouse gases. The largest contributors are electricity Warming Trend: How Climate Change Could Affect the Northwest W hile the debate over global warming global temperatures, that the earth is warm- ing. Over the last 100 years, the earth's average

  19. Microstructural Evolution During Laser Resolidification of Fe-25 Atom Percent Ge Alloy

    E-Print Network [OSTI]

    Srivastava, Kumar Vaibhav

    selection is discussed using competitive growth kinetics. I. INTRODUCTION TECHNIQUES of rapidly melting the process of laser resolidification. Third, the inti- mate contact of the surface-melted layerMicrostructural Evolution During Laser Resolidification of Fe-25 Atom Percent Ge Alloy KRISHANU

  20. POLICY STATEMENT ON PERCENT SALARY FOR PRINCIPAL INVESTIGATORS PAID EXCLUSIVELY FROM FEDERAL AWARDS

    E-Print Network [OSTI]

    Tsien, Roger Y.

    POLICY STATEMENT ON PERCENT SALARY FOR PRINCIPAL INVESTIGATORS PAID EXCLUSIVELY FROM FEDERAL AWARDS awards, including federal flow through-funding. This Policy applies to all Principal Investigators whose salary is derived entirely from federal awards. This Policy does not apply to Principal Investigators who

  1. Reliability of Bioelectrical Impedance Analysis for Estimating Whole-Fish Energy Density and Percent Lipids

    E-Print Network [OSTI]

    Reliability of Bioelectrical Impedance Analysis for Estimating Whole-Fish Energy Density impedance analysis (BIA) as a nonlethal means of predicting energy density and percent lipids for three fish. Although models that combined BIA measures with fish wet mass provided strong predictions of total energy

  2. Comparison of analytical methods for percent phosphorus determination in electroless nickel plate

    SciTech Connect (OSTI)

    Owens, W.W.; Sullivan, H.H.

    1982-08-13T23:59:59.000Z

    This report presents the results of the evaluation of five analytical methods for percent phosphorus determination and makes recommendations for the use of common methods to provide accurate and precise results in the field. The analytical methods are: (1) ASTM-E39 gravimetric method; (2) development colorimetric method; (3) independent colorimetric method; (4) UCC-ND alkalimetric method; (5) UCC-ND inductively coupled plasma method. Analysis of the data indicates the concentration of phosphorus in the electroless nickel plate sample to be approximately 12.1%. All of the methods evaluated demonstrated the capability of determining percent phosphorus accurately through the accumulation of a large number of readings. The primary difference among the methods is the precision capabilites of individual tests. 3 figures, 6 tables.

  3. Method to produce alumina aerogels having porosities greater than 80 percent

    DOE Patents [OSTI]

    Poco, John F.; Hrubesh, Lawrence W.

    2003-09-16T23:59:59.000Z

    A two-step method for producing monolithic alumina aerogels having porosities of greater than 80 percent. Very strong, very low density alumina aerogel monoliths are prepared using the two-step sol-gel process. The method of preparing pure alumina aerogel modifies the prior known sol method by combining the use of substoichiometric water for hydrolysis, the use of acetic acid to control hydrolysis/condensation, and high temperature supercritical drying, all of which contribute to the formation of a polycrystalline aerogel microstructure. This structure provides exceptional mechanical properties of the alumina aerogel, as well as enhanced thermal resistance and high temperature stability.

  4. Percent of Commercial Natural Gas Deliveries in Florida Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21YearThousandthePrice (Percent)

  5. Percent of Commercial Natural Gas Deliveries in Indiana Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Apr May Jun

  6. Percent of Commercial Natural Gas Deliveries in Iowa Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Apr May

  7. Percent of Commercial Natural Gas Deliveries in Kansas Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Apr MayPrice

  8. Percent of Commercial Natural Gas Deliveries in Kentucky Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Apr

  9. Percent of Commercial Natural Gas Deliveries in Maine Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar Aprthe

  10. Percent of Commercial Natural Gas Deliveries in Maryland Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb Mar AprthePrice

  11. Percent of Commercial Natural Gas Deliveries in Michigan Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb MarPrice

  12. Percent of Commercial Natural Gas Deliveries in Missouri Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan Feb

  13. Percent of Commercial Natural Gas Deliveries in Montana Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan FebPrice

  14. Percent of Commercial Natural Gas Deliveries in Nebraska Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan FebPricePrice

  15. Percent of Commercial Natural Gas Deliveries in Nevada Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan FebPricePricePrice

  16. Percent of Commercial Natural Gas Deliveries in New Jersey Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Jan

  17. Percent of Commercial Natural Gas Deliveries in New Mexico Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe Price

  18. Percent of Commercial Natural Gas Deliveries in New York Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe PricePrice

  19. Percent of Commercial Natural Gas Deliveries in North Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe PricePriceby

  20. Percent of Commercial Natural Gas Deliveries in Ohio Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe PricePricebyPrice

  1. Percent of Commercial Natural Gas Deliveries in Oklahoma Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year Janthe

  2. Percent of Commercial Natural Gas Deliveries in Oregon Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePrice

  3. Percent of Commercial Natural Gas Deliveries in Rhode Island Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethe Pricethe

  4. Percent of Commercial Natural Gas Deliveries in South Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethethe Price

  5. Percent of Commercial Natural Gas Deliveries in Texas Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year JanthePricethethePrice

  6. Percent of Commercial Natural Gas Deliveries in Utah Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(MillionPrice (Percent) Year

  7. Percent of Commercial Natural Gas Deliveries in Illinois Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Mar AprPrice (Percent) Decade

  8. Percent of Commercial Natural Gas Deliveries in Indiana Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Mar AprPrice (Percent)

  9. Percent of Commercial Natural Gas Deliveries in Iowa Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Mar AprPrice (Percent)Price

  10. Percent of Commercial Natural Gas Deliveries in Kentucky Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Mar AprPricePrice (Percent)

  11. Percent of Commercial Natural Gas Deliveries in New Jersey Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Marby the Price (Percent)the

  12. Percent of Commercial Natural Gas Deliveries in New York Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Marby the PricePrice (Percent)

  13. Percent of Commercial Natural Gas Deliveries in South Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Marby thethe Price (Percent)

  14. Percent of Industrial Natural Gas Deliveries in Arizona Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb Marby thethethePrice (Percent)

  15. Percent of Industrial Natural Gas Deliveries in Colorado Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb MarbyPrice (Percent) Decade

  16. Percent of Industrial Natural Gas Deliveries in Colorado Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb MarbyPrice (Percent)

  17. Percent of Industrial Natural Gas Deliveries in Delaware Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan Feb MarbyPrice (Percent)thePrice

  18. Percent of Industrial Natural Gas Deliveries in Illinois Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent) Decade Year-0

  19. Percent of Industrial Natural Gas Deliveries in Illinois Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent) Decade

  20. Percent of Industrial Natural Gas Deliveries in Indiana Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent) DecadePrice

  1. Percent of Industrial Natural Gas Deliveries in Indiana Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent)

  2. Percent of Industrial Natural Gas Deliveries in Iowa Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent)Price

  3. Percent of Industrial Natural Gas Deliveries in Iowa Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent)PricePrice

  4. Percent of Industrial Natural Gas Deliveries in Kansas Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPrice (Percent)PricePricePrice

  5. Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePrice (Percent) Decade

  6. Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePrice (Percent)

  7. Percent of Industrial Natural Gas Deliveries in Maine Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePrice (Percent)thePrice

  8. Percent of Industrial Natural Gas Deliveries in Maryland Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePricePrice (Percent)

  9. Percent of Industrial Natural Gas Deliveries in Maryland Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear Jan FebPricePricePrice (Percent)Price

  10. Percent of Industrial Natural Gas Deliveries in Nevada Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Jan Feb Mar

  11. Percent of Industrial Natural Gas Deliveries in New Jersey Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Jan Febthe

  12. Percent of Industrial Natural Gas Deliveries in New Jersey Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Jan Febthethe

  13. Percent of Industrial Natural Gas Deliveries in New Mexico Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Jan

  14. Percent of Industrial Natural Gas Deliveries in New Mexico Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Janthe Price

  15. Percent of Industrial Natural Gas Deliveries in New York Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year Janthe

  16. Percent of Industrial Natural Gas Deliveries in New York Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Year JanthePrice

  17. Percent of Industrial Natural Gas Deliveries in North Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Yearthe Price

  18. Percent of Industrial Natural Gas Deliveries in North Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Yearthe Pricethe

  19. Percent of Industrial Natural Gas Deliveries in Ohio Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) Yearthe

  20. Percent of Industrial Natural Gas Deliveries in Ohio Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) YearthePrice

  1. Percent of Industrial Natural Gas Deliveries in Oklahoma Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent) YearthePricePrice

  2. Percent of Industrial Natural Gas Deliveries in Oklahoma Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)

  3. Percent of Industrial Natural Gas Deliveries in Oregon Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Price

  4. Percent of Industrial Natural Gas Deliveries in Rhode Island Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricethe Pricethethe

  5. Percent of Industrial Natural Gas Deliveries in Rhode Island Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricethe

  6. Percent of Industrial Natural Gas Deliveries in South Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricetheby thethe

  7. Percent of Industrial Natural Gas Deliveries in South Dakota Represented by

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricetheby thethethe

  8. Percent of Industrial Natural Gas Deliveries in Texas Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)Pricethebythe

  9. Percent of Industrial Natural Gas Deliveries in Texas Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPrice (Percent)PricethebythePrice

  10. Percent of Industrial Natural Gas Deliveries in Utah Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent) Year Jan Feb

  11. Percent of Industrial Natural Gas Deliveries in Vermont Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent) Year Jan

  12. Percent of Industrial Natural Gas Deliveries in Vermont Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent) Year JanPrice

  13. Percent of Industrial Natural Gas Deliveries in Virginia Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent) Year

  14. Percent of Industrial Natural Gas Deliveries in Virginia Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent) YearPrice

  15. Percent of Industrial Natural Gas Deliveries in Wyoming Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by thethe

  16. Percent of Industrial Natural Gas Deliveries in Wyoming Represented by the

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by thethePrice

  17. U.S. Parking Facilities Cut Energy Use by 90 Percent, Switch 270 Million

    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 onYouTube YouTube Note: Since the.pdfBreakingMayDepartmentTestFeedEnergy Navy Moanalua TerracePercent | Department

  18. VSEAMS: A pipeline for variant set enrichment analysis using summary GWAS data identifies IKZF3, BATF and ESRRA as key transcription factors in type 1 diabetes

    E-Print Network [OSTI]

    Burren, Oliver S.; Guo, Hui; Wallace, Chris

    2014-08-27T23:59:59.000Z

    to be altered in LCLs, which emphasizes a need for transcription factor function to be studied in primary cells. Imprecise knowledge of regulatory variants for individual genes hampers any test of variant set enrichment. As regulatory variation may lie 200 kb...

  19. Influence of the host cell factors CK2, hTERT, and PML, on the antiviral response to herpes simplex virus type I infection

    E-Print Network [OSTI]

    Smith, Miles Christian

    2013-08-31T23:59:59.000Z

    deploys a variety of defenses to limit the extent to which the virus can replicate. This thesis is the summation of projects that examined the impact of three host cell factors - those being CK2, hTERT, and PML - on HSV-1 replication. CK2 is a cellular...

  20. An estimated one of every six households (16.2 percent) in Texas lives in poverty. Research has

    E-Print Network [OSTI]

    Relevance An estimated one of every six households (16.2 percent) in Texas lives in poverty. Research has shown that individuals who live in poverty have dietary intakes that are not in agreement

  1. Analysis of farm-to-retail price spreads for whole and two percent milk in seven selected cities

    E-Print Network [OSTI]

    Dickerson, Marla Lashea

    2004-09-30T23:59:59.000Z

    of transmission for whole milk was from 0.37 (Hartford) to 2.54 (Dallas) and from 0.39 (Hartford) to 3.66 (Dallas) for two percent milk....

  2. Extraction of Plutonium into 30 Percent Tri-Butyl Phosphate from Nitric Acid Solution Containing Fluoride, Aluminum, and Boron

    SciTech Connect (OSTI)

    Kyser, E.A.

    2000-01-06T23:59:59.000Z

    This work consists of experimental batch extraction data for plutonium into 30 volume-percent tri-butyl phosphate at ambient temperature from such a solution matrix and a model of this data using complexation constants from the literature.

  3. A correlation of water solubility in jet fuels with API gravity: aniline point percent aromatics, and temperature.

    E-Print Network [OSTI]

    Byington, Alonzo

    1964-01-01T23:59:59.000Z

    A CORRELATION OF WATER SOLUBILITY IN JET FUELS WITH API GRAVITY, ANILINE POINT PERCENT AROMATICS, AND TEMPERATURE A Thesis By ALONZO B YINGTON Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE January, 1964 Major Subject: Petroleum Engineering A CORRELATION OF MATER SOLUBILITT IH JET FUELS WITS API GEAVITT, ANILINE POINT, PERCENT ARONATICS, AND TENPERATURE A Thesis By ALOHZO BYIHGTOH Approved...

  4. Over 30{percent} efficient InGaP/GaAs tandem solar cells

    SciTech Connect (OSTI)

    Takamoto, T.; Ikeda, E.; Kurita, H. [Central Research Laboratory, Japan Energy Corporation, 3-17-35 Niizo-Minami, Toda, Saitama 335 (Japan)] [Central Research Laboratory, Japan Energy Corporation, 3-17-35 Niizo-Minami, Toda, Saitama 335 (Japan); Ohmori, M. [Japan Energy Research Center Company, Ltd., 1-11-9 Azabudai, Minato-ku, Tokyo 106 (Japan)] [Japan Energy Research Center Company, Ltd., 1-11-9 Azabudai, Minato-ku, Tokyo 106 (Japan)

    1997-01-01T23:59:59.000Z

    A two-terminal monolithic InGaP/GaAs tandem solar cell with a new efficiency record of 30.28{percent} is realized with a practical large area of 4 cm{sup 2} under one-sun air-mass 1.5 global illumination. We report improvements of the tandem cell performance by introducing a double-hetero (hereafter DH) structure InGaP tunnel junction, in which the InGaP layers are surrounded by high band gap AlInP barriers. The DH structure by AlInP barriers increase the peak current of InGaP tunnel junction. The AlInP barrier directly below the InGaP top cell, which takes the part of a back surface field (hereafter BSF) layer, is found to be considerably effective in reflecting minority carriers in the top cell. The AlInP BSF layer does not only form a high potential barrier but also prevents the diffusion of zinc from a high doped tunnel junction toward the top cell during epitaxial growth. Furthermore, an InGaP tunnel junction reduces the absorption loss, which exists in a GaAs tunnel junction, and increases the photogenerated current in the GaAs bottom cell. {copyright} {ital 1997 American Institute of Physics.}

  5. Good news! Your plan covers the preventive services listed here 100 percent as part of

    E-Print Network [OSTI]

    complies with the new federal health care reform law. Covered preventive services for adults Screenings for on risk factors) Continued on back Important Health Care Reform Notices You can get checkups, screenings get them from a doctor or other health care provider in our network n The main purpose of your visit

  6. Characterization of nitrogen compound types in hydrotreated Paraho shale oil

    SciTech Connect (OSTI)

    Holmes, S.A.; Latham, D.R.

    1980-10-01T23:59:59.000Z

    Results from the separation and characterization of nitrogen compound types in hydrotreated Paraho shale oil samples were obtained. Two samples of Paraho shale oil were hydrotreated by Chevron Research Company such that one sample contained about 0.05 wt. percent nitrogen and the other sample contained about 0.10 wt. percent nitrogen. A separation method concentrate specific nitrogen compound types was developed. Characterization of the nitrogen types was accomplished by infrared spectroscopy, mass spectrometry, potentiometric titration, and elemental analysis. The distribution of nitrogen compound types in both samples and in the Paraho crude shale oil is compared.

  7. Sixty Percent Conceptual Design Report: Enterprise Accountability System for Classified Removable Electronic Media

    SciTech Connect (OSTI)

    B. Gardiner; L.Graton; J.Longo; T.Marks, Jr.; B.Martinez; R. Strittmatter; C.Woods; J. Joshua

    2003-05-03T23:59:59.000Z

    Classified removable electronic media (CREM) are tracked in several different ways at the Laboratory. To ensure greater security for CREM, we are creating a single, Laboratory-wide system to track CREM. We are researching technology that can be used to electronically tag and detect CREM, designing a database to track the movement of CREM, and planning to test the system at several locations around the Laboratory. We focus on affixing ''smart tags'' to items we want to track and installing gates at pedestrian portals to detect the entry or exit of tagged items. By means of an enterprise database, the system will track the entry and exit of tagged items into and from CREM storage vaults, vault-type rooms, access corridors, or boundaries of secure areas, as well as the identity of the person carrying an item. We are considering several options for tracking items that can give greater security, but at greater expense.

  8. Characteristics RSE Column Factor: All Vehicle Types

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469 2,321Spain (Million Cubic 1. Introduction4. Fuel.6.

  9. machining parameters showed 5 percent scatter in dimensional instability, but all were within the required tolerance band.

    E-Print Network [OSTI]

    Endres. William J.

    the edge radii of cutting tools with mea- surement error on desirability function approach was used. The optimal cutting parameters are derived to control dimensional vector of regression coefficients Cr rake angle correction factor Cl chip thickness correction factor d

  10. Award Types

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust AugustInstruments on theAward Types Types of

  11. Bi-Se doped with Cu, p-type semiconductor

    DOE Patents [OSTI]

    Bhattacharya, Raghu Nath; Phok, Sovannary; Parilla, Philip Anthony

    2013-08-20T23:59:59.000Z

    A Bi--Se doped with Cu, p-type semiconductor, preferably used as an absorber material in a photovoltaic device. Preferably the semiconductor has at least 20 molar percent Cu. In a preferred embodiment, the semiconductor comprises at least 28 molar percent of Cu. In one embodiment, the semiconductor comprises a molar percentage of Cu and Bi whereby the molar percentage of Cu divided by the molar percentage of Bi is greater than 1.2. In a preferred embodiment, the semiconductor is manufactured as a thin film having a thickness less than 600 nm.

  12. Beam quality conversion factors for parallel-plate ionization chambers in MV photon beams

    SciTech Connect (OSTI)

    Muir, B. R.; McEwen, M. R.; Rogers, D. W. O. [Carleton Laboratory for Radiotherapy Physics, Physics Department, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6 (Canada); Institute for National Measurement Standards, National Research Council of Canada, Ottawa, Ontario K1A 0R6 (Canada); Carleton Laboratory for Radiotherapy Physics, Physics Department, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6 (Canada)

    2012-03-15T23:59:59.000Z

    Purpose: To investigate the behavior of plane-parallel ion chambers in high-energy photon beams through measurements and Monte Carlo simulations. Methods: Ten plane-parallel ion chamber types were obtained from the major ion chamber manufacturers. Absorbed dose-to-water calibration coefficients are measured for these chambers and k{sub Q} factors are determined. In the process, the behaviors of the chambers are characterized through measurements of leakage currents, chamber settling in cobalt-60, polarity and ion recombination behavior, and long-term stability. Monte Carlo calculations of the absorbed dose to the air in the ion chamber and absorbed dose to water are obtained to calculate k{sub Q} factors. Systematic uncertainties in Monte Carlo calculated k{sub Q} factors are investigated by varying material properties and chamber dimensions. Results: Chamber behavior was variable in MV photon beams, especially with regard to chamber leakage and ion recombination. The plane-parallel chambers did not perform as well as cylindrical chambers. Significant differences up to 1.5% were observed in calibration coefficients after a period of eight months although k{sub Q} factors were consistent on average within 0.17%. Chamber-to-chamber variations in k{sub Q} factors for chambers of the same type were at the 0.2% level. Systematic uncertainties in Monte Carlo calculated k{sub Q} factors ranged between 0.34% and 0.50% depending on the chamber type. Average percent differences between measured and calculated k{sub Q} factors were - 0.02%, 0.18%, and - 0.16% for 6, 10, and 25 MV beams, respectively. Conclusions: Excellent agreement is observed on average at the 0.2% level between measured and Monte Carlo calculated k{sub Q} factors. Measurements indicate that the behavior of these chambers is not adequate for their use for reference dosimetry of high-energy photon beams without a more extensive QA program than currently used for cylindrical reference-class ion chambers.

  13. We report measurement of the equilibrium plasma current profiles in the Levitated Dipole Experiment (LDX) that exhibit a peak beta in excess of 10 percent. The beta

    E-Print Network [OSTI]

    Experiment (LDX) that exhibit a peak beta in excess of 10 percent. The beta of an LDX plasma is calculated will be discussed along with the conditions that lead to the creation of high beta plasmas. #12;Outline · Magnetic · Average and peak beta Substantial analyses must be performed on the magnetic data to actually obtain

  14. VSP members have nationwide access to low, cost-controlled pricing on all lens extras, for savings up to 20 percent.

    E-Print Network [OSTI]

    Bordenstein, Seth

    up to 20 percent. Patient Option Single Vision Multifocal Polycarbonate Lenses $25 $30 Polycarbonate Polycarbonate Ten times more impact-resistant than any other plastic lens, polycarbonate is the lens of choice, polycarbonate lenses also provide UV protection and scratch-resistance. Progressive Lenses Unlike traditional

  15. Types of Lighting in Commercial Buildings - Introduction

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"YearProductionShaleInput

  16. Temperature-dependent structural property and power factor of n type thermoelectric Bi{sub 0.90}Sb{sub 0.10} and Bi{sub 0.86}Sb{sub 0.14} alloys

    SciTech Connect (OSTI)

    Malik, K.; Das, Diptasikha [Department of Physics, University of Calcutta, 92 A P C Road, Kolkata 700 009 (India)] [Department of Physics, University of Calcutta, 92 A P C Road, Kolkata 700 009 (India); Bandyopadhyay, S.; Banerjee, Aritra, E-mail: arbphy@caluniv.ac.in [Department of Physics, University of Calcutta, 92 A P C Road, Kolkata 700 009 (India) [Department of Physics, University of Calcutta, 92 A P C Road, Kolkata 700 009 (India); Center for Research in Nanoscience and Nanotechnology, University of Calcutta, JD-2, Sector-III, Saltlake City, Kolkata 700 098 (India); Mandal, P.; Srihari, Velaga [Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata 700 064 (India)] [Saha Institute of Nuclear Physics, 1/AF Bidhannagar, Kolkata 700 064 (India); Deb, A. K. [Department of Physics, Raiganj College (University College), Uttar Dinajpur 733 134 (India)] [Department of Physics, Raiganj College (University College), Uttar Dinajpur 733 134 (India)

    2013-12-09T23:59:59.000Z

    Thermal variation of structural property, linear thermal expansion coefficient (?), resistivity (?), thermopower (S), and power factor (PF) of polycrystalline Bi{sub 1-x}Sb{sub x} (x?=?0.10 and 0.14) samples are reported. Temperature-dependent powder diffraction experiments indicate that samples do not undergo any structural phase transition. Rietveld refinement technique has been used to perform detailed structural analysis. Temperature dependence of ? is found to be stronger for Bi{sub 0.90}Sb{sub 0.10}. Also, PF for direct band gap Bi{sub 0.90}Sb{sub 0.10} is higher as compared to that for indirect band gap Bi{sub 0.86}Sb{sub 0.14}. Role of electron-electron and electron-phonon scattering on ?, S, and PF has been discussed.

  17. Table 1. Number and Percent of Women Faculty in Science/Engineering by Department, 2000* Division/Department Women Men % Women

    E-Print Network [OSTI]

    Sheridan, Jennifer

    .2% Agricultural & Applied Economics 0.00 22.00 0.0% Life Sciences Communication 3.80 8.33 31.3% Rural Sociology 3 Communication 4.41 11.00 28.6% School of Library & Information Studies 4.00 2.00 66.7% #12;Political Science 8Table 1. Number and Percent of Women Faculty in Science/Engineering by Department, 2000* Division

  18. Table 1. Number and Percent of Women Faculty in Science/Engineering by Department, 2005 Division/Department Women Men % Women

    E-Print Network [OSTI]

    Sheridan, Jennifer

    223.20 366.73 37.8% Agricultural & Applied Economics 3.00 22.90 11.6% Life Sciences Communication 5 Communication 5.00 8.50 37.0% School of Library & Information Studies 7.00 0.50 93.3% Political Science 7.00 27Table 1. Number and Percent of Women Faculty in Science/Engineering by Department, 2005 Division

  19. Route Type Determination Analysis

    SciTech Connect (OSTI)

    Brett Stone

    2011-09-01T23:59:59.000Z

    According to the 2009 National Household Travel Survey 44.4 percent of all miles travelled by Americans in 2009 (including airplanes, trains, boats, golf carts, subways, bikes, etc.) were travelled in cars. If vans, SUV's and pickup trucks are included, that level increases to 86 percent. We do a lot of travelling on the road in personal vehicles - it's important to be able to understand how we get there and how to rate the fuel economy of our trips. An essential part of this is knowing how to decide if a trip is a city or highway trip.

  20. New N-Type Polymers for Organic Photovoltaics: Cooperative Research and Development Final Report, CRADA Number CRD-06-177

    SciTech Connect (OSTI)

    Olson, D.

    2014-08-01T23:59:59.000Z

    This CRADA will develop improved thin film organic solar cells using a new n-type semiconducting polymer. High efficiency photovoltaics (PVs) based on inorganic semiconductors have good efficiencies (up to 30%) but are extremely expensive to manufacture. Organic PV technology has the potential to overcome this problem through the use of high-throughput production methods like reel-to-reel printing on flexible substrates. Unfortunately, today's best organic PVs have only a few percent efficiency, a number that is insufficient for virtually all commercial applications. The limited choice of stable n-type (acceptor) organic semiconductor materials is one of the key factors that prevent the further improvement of organic PVs. TDA Research, Inc. (TDA) previously developed a new class of electron-deficient (n-type) conjugated polymers for use in organic light emitting diodes (OLEDs). During this project TDA in collaboration with the National Renewable Energy Laboratory (NREL) will incorporate these electron-deficient polymers into organic photovoltaics and investigate their performance. TDA Research, Inc. (TDA) is developing new materials and polymers to improve the performance of organic solar cells. Materials being developed at TDA include spin coated transparent conductors, charge injection layers, fullerene derivatives, electron-deficient polymers, and three-phase (fullerene/polythiophene/dye) active layer inks.

  1. Assignment Types UTS LIBRARY

    E-Print Network [OSTI]

    University of Technology, Sydney

    Assignment Types UTS LIBRARY February 2013 Academic Writing Guide Part 2 ­ Assignment Types: This section outlines the basic types of written assignments, providing structural elements and examples. #12;2 II. Assignment Types 1. Essay Writing

  2. Risk factors of recurrent furunculosis

    E-Print Network [OSTI]

    El-Gilany, Abdel-Hady; Fathy, Hanan

    2009-01-01T23:59:59.000Z

    Staphylococcus aureus (MRSA). Between 10-35 percent and 20-resistant S. aureus (MRSA) [ 35 , 36 ]. However, Hedstrom [study reported that MRSA infection was significantly

  3. Types of Costs Types of Cost Estimates

    E-Print Network [OSTI]

    Boisvert, Jeff

    · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining% accuracy. ­ 2-5% of pre-production capital Types of Cost Estimates #12;3. Definitive ­ Based on definitive-even $ Production Level Fixed Cost Break-even $ Production Level Cost-Revenue Relationships · Capital Costs (or

  4. spaceheat_percent2001.pdf

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25, 2012302Q),1996 Total pera.5a.8a.Space

  5. Variable Average Absolute Percent Differences

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE. Great Basin Oil and Gas FieldsLiquids

  6. spaceheat_percent2001.pdf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and Methane2a.6a.Space

  7. Comparison of analytical methods for percent phosphorous determination in electroless nickel plate. [UCC-ND alkalimetric method; UCC-ND Inductively Coupled Plasma (ICP) method; ASTM-E39 gravimetric method; development colorimetric method; independent colorimetric method

    SciTech Connect (OSTI)

    Owens, W.W.; Sullivan, H.H.

    1982-01-01T23:59:59.000Z

    Electroless nicke-plate characteristics are substantially influenced by percent phosphorous concentrations. Available ASTM analytical methods are designed for phosphorous concentrations of less than one percent compared to the 4.0 to 20.0% concentrations common in electroless nickel plate. A variety of analytical adaptations are applied through the industry resulting in poor data continuity. This paper presents a statistical comparison of five analytical methods and recommends accurate and precise procedures for use in percent phosphorous determinations in electroless nickel plate. 2 figures, 1 table.

  8. Types of Commissioning

    Broader source: Energy.gov [DOE]

    Several commissioning types exist to address the specific needs of equipment and systems across both new and existing buildings. The following commissioning types provide a good overview.

  9. Power Factor Compensation (PFC) Power Factor Compensation

    E-Print Network [OSTI]

    Knobloch,Jürgen

    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

  10. Confirmation of Hostless Type Ia Supernovae Using Hubble Space Telescope Imaging

    E-Print Network [OSTI]

    Graham, Melissa L; Zaritsky, Dennis; Pritchet, Chris J

    2015-01-01T23:59:59.000Z

    We present deep Hubble Space Telescope imaging at the locations of four, potentially hostless, long-faded Type Ia supernovae (SNe Ia) in low-redshift, rich galaxy clusters that were identified in the Multi-Epoch Nearby Cluster Survey. Assuming a steep faint-end slope for the galaxy cluster luminosity function ($\\alpha_d=-1.5$), our data includes all but $\\lesssim0.2\\%$ percent of the stellar mass in cluster galaxies ($\\lesssim0.005\\%$ with $\\alpha_d=-1.0$), a factor of 10 better than our ground-based imaging. Two of the four SNe Ia still have no possible host galaxy associated with them ($M_R>-9.2$), confirming that their progenitors belong to the intracluster stellar population. The third SNe Ia appears near a faint disk galaxy ($M_V=-12.2$) which has a relatively high probability of being a chance alignment. A faint, red, point source coincident with the fourth SN Ia's explosion position ($M_V=-8.4$) may be either a globular cluster (GC) or faint dwarf galaxy. We estimate the local surface densities of GCs ...

  11. Types of Costs Types of Cost Estimates

    E-Print Network [OSTI]

    Boisvert, Jeff

    05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408-Revenue Relationships · Capital Costs (or first cost or capital investment): ­ Expenditures made to acquire or develop capital assets ­ Three main classes of capital costs: 1. Depreciable Investment: · Investment allocated

  12. Types of Reuse

    Broader source: Energy.gov [DOE]

    The following provides greater detail regarding the types of reuse pursued for LM sites. It should be noted that many actual reuses combine several types of the uses listed below.

  13. Types of Lighting in Commercial Buildings - Full Report

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"YearProductionShaleInput Product:InputData

  14. Report Title: Oil and Gas Production and Economic Growth In New Mexico Type of Report: Technical Report

    E-Print Network [OSTI]

    Johnson, Eric E.

    Report Title: Oil and Gas Production and Economic Growth In New Mexico Type of Report: Technical agency thereof. #12;Page | ii Oil and Gas Production and Economic Growth in New Mexico James Peach and C Mexico's marketed value of oil and gas was $19.2 billion (24.0 percent of state GDP). This paper

  15. Power Factor Improvement

    E-Print Network [OSTI]

    Viljoen, T. A.

    1979-01-01T23:59:59.000Z

    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...

  16. An evaluation of sesame oil meal and Peruvian fish for egg-strain and broiler-type breeder hens

    E-Print Network [OSTI]

    Smith, Edwin B

    1964-01-01T23:59:59.000Z

    meal as protein sources for egg-strain hens . . . . . . . . ~ ~ . ~ 16 Composition of. laying hen diets . . . . . . ~ . 17, 18 Calculated percent protein and certain amino acid content in laying hen diets from analyses of ingredients... . . . , . . . . . . . . . ~ ~ , 19 Experimental design . . . . . . . . . . . ~ . . 20 Composition of broiler-type breeder diets ~ . . 21 Calculated protein and certain amino acid con- tent in broiler-type breeder hen diets from analy- ses of ingredients...

  17. Typed Self-Optimization

    E-Print Network [OSTI]

    Brown, Matt

    2013-01-01T23:59:59.000Z

    type T y[O]. The operator IsIs is self-applicative, in thatargument t is any of Is[O] or IsIs, and otherwise behavesproof constant introduced by IsIs proves that the type of t

  18. Your Guide to Diabetes: Type 1 and Type 2

    E-Print Network [OSTI]

    Rau, Don C.

    Your Guide to Diabetes: Type 1 and Type 2 National Diabetes Information Clearinghouse #12;#12;Your Guide to Diabetes: Type 1 and Type 2 #12;#12;Contents Learn about Diabetes ............................................................ 1 What is diabetes? .............................................................. 2 What

  19. Investigation of the Structure and Function of Type III Secretion Needle and Tip Proteins

    E-Print Network [OSTI]

    Zhang, Lingling

    2009-04-22T23:59:59.000Z

    Many Gram-negative pathogens possess type III secretion systems as part of their required virulence factor repertoire. The type III secretion apparatus (TTSA) spans the bacterial inner and outer membranes and resembles a ...

  20. On Teletrofono and Inkblots ? SCIImpact FactorH-Index

    E-Print Network [OSTI]

    Hung, Shih-Hao

    -nine percent perspiration) #12; (Nikola Tesla ): ... 90% [] (Ambiguity) (Charles Robert Darwin; 1809

  1. Fejer-type inequalities

    E-Print Network [OSTI]

    Mitroi, F C

    2011-01-01T23:59:59.000Z

    The aim of this paper is to present some new Fejer-type results for convex functions. Improvements of Young's inequality (the arithmetic-geometric mean inequality) and other applications to special means are pointed as well.

  2. Document Type: Subject Terms

    E-Print Network [OSTI]

    Major, Arkady

    Title: Authors: Source: Document Type: Subject Terms: Abstract: Full Text Word Count: ISSN at creating team results. In fact, it's priceless. Managers in Western corporations have received a lifetime

  3. Factors driving wind power development in the United States

    SciTech Connect (OSTI)

    Bird, Lori A.; Parsons, Brian; Gagliano, Troy; Brown, Matthew H.; Wiser, Ryan H.; Bolinger, Mark

    2003-05-15T23:59:59.000Z

    In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24 percent annually during the past five years. About 1,700 MW of wind energy capacity was installed in 2001, while another 410 MW became operational in 2002. This year (2003) shows promise of significant growth with more than 1,500 MW planned. With this growth, an increasing number of states are experiencing investment in wind energy projects. Wind installations currently exist in about half of all U.S. states. This paper explores the key factors at play in the states that have achieved a substantial amount of wind energy investment. Some of the factors that are examined include policy drivers, such as renewable portfolio standards (RPS), federal and state financial incentives, and integrated resource planning; as well as market drivers, such as consumer demand for green power, natural gas price volatility, and wholesale market rules.

  4. Power Factor Reactive Power

    E-Print Network [OSTI]

    motor power: 117.7 V x 5.1 A = 600 W? = 0.6 kW? NOT the power measured by meter #12;Page 9 PSERC: displacement power factor: angle between voltage and current = 0 degrees pf = cos(0 degrees) = 1.0 true powerPage 1 PSERC Power Factor and Reactive Power Ward Jewell Wichita State University Power Systems

  5. ON THE GAGE FACTOR FOR OPTICAL FIBER GRATING STRAIN GAGES

    E-Print Network [OSTI]

    Park, Yong-Lae

    ON THE GAGE FACTOR FOR OPTICAL FIBER GRATING STRAIN GAGES Richard J. Black1 , David Zare1 , Levy Oblea1 , Yong-Lae Park1 , Behzad Moslehi1 , and Craig Neslen2 1 Intelligent Fiber Optic Systems of grating and fiber types. KEY WORDS: Fiber-Optic Gratings, Fiber-Optic Sensors, Strain Gage Factor 1

  6. Consistent use of type Ia supernovae highly magnified by galaxy clusters to constrain the cosmological parameters

    SciTech Connect (OSTI)

    Zitrin, Adi [Cahill Center for Astronomy and Astrophysics, California Institute of Technology, MS 249-17, Pasadena, CA 91125 (United States); Redlich, Matthias [Universität Heidelberg, Zentrum für Astronomie, Institut für Theoretische Astrophysik, Philosophenweg 12, D-69120 Heidelberg (Germany); Broadhurst, Tom, E-mail: adizitrin@gmail.com [Department of Theoretical Physics, University of Basque Country UPV/EHU, Bilbao (Spain)

    2014-07-01T23:59:59.000Z

    We discuss how Type Ia supernovae (SNe) strongly magnified by foreground galaxy clusters should be self-consistently treated when used in samples fitted for the cosmological parameters. While the cluster lens magnification of a SN can be well constrained from sets of multiple images of various background galaxies with measured redshifts, its value is typically dependent on the fiducial set of cosmological parameters used to construct the mass model. In such cases, one should not naively demagnify the observed SN luminosity by the model magnification into the expected Hubble diagram, which would create a bias, but instead take into account the cosmological parameters a priori chosen to construct the mass model. We quantify the effect and find that a systematic error of typically a few percent, up to a few dozen percent per magnified SN may be propagated onto a cosmological parameter fit unless the cosmology assumed for the mass model is taken into account (the bias can be even larger if the SN is lying very near the critical curves). We also simulate how such a bias propagates onto the cosmological parameter fit using the Union2.1 sample supplemented with strongly magnified SNe. The resulting bias on the deduced cosmological parameters is generally at the few percent level, if only few biased SNe are included, and increases with the number of lensed SNe and their redshift. Samples containing magnified Type Ia SNe, e.g., from ongoing cluster surveys, should readily account for this possible bias.

  7. FGF growth factor analogs

    DOE Patents [OSTI]

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

    2012-07-24T23:59:59.000Z

    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.

  8. Electromagetic proton form factors

    E-Print Network [OSTI]

    M Y Hussein

    2006-10-31T23:59:59.000Z

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

  9. Dust around Type Ia supernovae

    E-Print Network [OSTI]

    Wang, Lifan

    2005-01-01T23:59:59.000Z

    Dust around Type Ia supernovae Lifan Wang 1,2 LawrenceIa. Subject headings: Supernovae: General, Dust, Extinctionline) bands for Type Ia supernovae. (a), upper panel, shows

  10. Wolter type i LAMAR

    SciTech Connect (OSTI)

    Catura, R.C.; Joki, E.G.

    1981-11-01T23:59:59.000Z

    Observational objectives for the LAMAR and their influence on the instrument design are discussed. It is concluded that the most important design parameter is the angular resolution of the LAMAR modules since it so strongly influences sensitivity, optical identifications, source confusion, spectral resolution for objective gratings and the ability to resolve small extended sources. A high resolution Wolter Type I LAMAR module is described, its hardware status discussed, and the performance of a LAMAR observatory presented. A promising technique for enhancing the reflectivity of Wolter Type I X-ray optics in a selected bandpass at high energy has been investigated and the performance of the LAMAR module, utilizing this method, has been calculated.

  11. Rappels: 4) Piles Types abstraits de donnes (Abstract Data Type)

    E-Print Network [OSTI]

    Hamel, Sylvie

    Rappels: 4) Piles #12;Types abstraits de données (Abstract Data Type) IFT2015, A2009, Sylvie Hamel Université de Montréal 1Piles Type de données Un ensemble de valeurs Un ensemble d'opérations Structure de Université de Montréal 2Piles #12;Type abstrait de données PILE (§4.2) Garde en mémoire des objets

  12. Multi-factor authentication

    DOE Patents [OSTI]

    Hamlet, Jason R; Pierson, Lyndon G

    2014-10-21T23:59:59.000Z

    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.

  13. New Precision Limit on the Strange Vector Form Factors of the Proton

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

    Ahmed, Z; Allada, K; Armstrong, D S; Arrington, J; Baturin, P; Bellini, V; Benesch, J; Beminiwattha, R; Benmokhtar, F; Canan, M; Camsonne, A; Cates, G D; Chen, J -P; Chudakov, E; Cisbani, E; Dalton, M M; de Jager, C W; De Leo, R; Deconinck, W; Decowski, P; Deng, X; Deur, A; Dutta, C; Franklin, G B; Friend, M; Frullani, S; Garibaldi, F; Giusa, A; Glamazdin, A; Golge, S; Grimm, K; Hansen, O; Higinbotham, D W; Holmes, R; Holmstrom, T; Huang, J; Huang, M; Hyde, C E; Jen, C M; Jin, G; Jones, D; Kang, H; King, P; Kowalski, S; Kumar, K S; Lee, J H; LeRose, J J; Liyanage, N; Long, E; McNulty, D; Margaziotis, D; Meddi, F; Meekins, D G; Mercado, L; Meziani, Z -E; Michaels, R; Munoz-Camacho, C; Mihovilovic, M; Muangma, N; Myers, K E; Nanda, S

    2012-03-05T23:59:59.000Z

    The parity-violating cross-section asymmetry in the elastic scattering of polarized electrons from unpolarized protons has been measured at a four-momentum transfer squared Q2 = 0.624 GeV2 and beam energy Eb = 3.48 GeV to be APV = -23.80 ± 0.78 (stat) ± 0.36 (syst) parts per million. This result is consistent with zero contribution of strange quarks to the combination of electric and magnetic form factors GEs + 0.517 GMs = 0.003 ± 0.010 (stat) ± 0.004 (syst) ± 0.009 (ff), where the third error is due to the limits of precision on the electromagnetic form factors and radiative corrections. With this measurement, the world data on strange contributions to nucleon form factors are seen to be consistent with zero and not more than a few percent of the proton form factors.

  14. New Precision Limit on the Strange Vector Form Factors of the Proton

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

    Ahmed, Z; Allada, K; Armstrong, D S; Arrington, J; Baturin, P; Bellini, V; Benesch, J; Beminiwattha, R; Benmokhtar, F; Canan, M; et al

    2012-03-05T23:59:59.000Z

    The parity-violating cross-section asymmetry in the elastic scattering of polarized electrons from unpolarized protons has been measured at a four-momentum transfer squared Q2 = 0.624 GeV2 and beam energy Eb = 3.48 GeV to be APV = -23.80 ± 0.78 (stat) ± 0.36 (syst) parts per million. This result is consistent with zero contribution of strange quarks to the combination of electric and magnetic form factors GEs + 0.517 GMs = 0.003 ± 0.010 (stat) ± 0.004 (syst) ± 0.009 (ff), where the third error is due to the limits of precision on the electromagnetic form factors and radiative corrections.more »With this measurement, the world data on strange contributions to nucleon form factors are seen to be consistent with zero and not more than a few percent of the proton form factors.« less

  15. Effects of Confinement and Orientation on the Thermoelectric Power Factor of Silicon Nanowires

    E-Print Network [OSTI]

    1 Effects of Confinement and Orientation on the Thermoelectric Power Factor of Silicon Nanowires dimensionality can improve the thermoelectric (TE) power factor of a device, offering an enhancement of the ZT analysis of the thermoelectric coefficients of n-type and p-type NWs of diameters from 12nm down to 3nm

  16. Factors Affecting Photosynthesis!

    E-Print Network [OSTI]

    Kudela, Raphael M.

    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

  17. Postdoc Appointment Types

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah Project Office Press ReleasesPost-Closure BenefitsAppointment Types

  18. Nearby Supernova Factory Observations of SN 2006D: On Sporadic Carbon Signatures in Early Type Ia Supernova Spectra

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    with low volume-?lling factor. Subject headings: supernovae:general — supernovae: individual (SN 2006D)Introduction Type Ia supernovae (SNe Ia) make valuable

  19. EDUCATING THE NEXT GENERATION More than 25 percent of graduate students, 21 percent of undergraduates and 50 percent of

    E-Print Network [OSTI]

    Bittner, Eric R.

    in fields spanning biology and biochemistry, kinesiology, psychology, mathematics, pharmacy, nutrition, biomedical engineering, pharmacy, optometry, computer science and computational physiology. PROMOTING INNOVATION The Center for Nuclear Receptors and Cell Signaling, led by world-renowned researcher Jan

  20. Nebraska Nuclear Profile - Cooper

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

    Cooper" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  1. Missouri Nuclear Profile - Callaway

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

    Callaway" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  2. Louisiana Nuclear Profile - Waterford 3

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

    Waterford 3" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

  3. New Jersey Nuclear Profile - PSEG Salem Generating Station

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

    PSEG Salem Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  4. Michigan Nuclear Profile - Fermi

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

    Fermi" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  5. Florida Nuclear Profile - Turkey Point

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

    Turkey Point" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  6. Pennsylvania Nuclear Profile - Beaver Valley

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

    Beaver Valley" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  7. New Hampshire Nuclear Profile - Seabrook

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

    Seabrook" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  8. Michigan Nuclear Profile - Donald C Cook

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

    Donald C Cook" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  9. Alabama Nuclear Profile - Joseph M Farley

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

    Joseph M Farley" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  10. Virginia Nuclear Profile - North Anna

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

    North Anna" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  11. California Nuclear Profile - San Onofre Nuclear Generating Station

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

    San Onofre Nuclear Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  12. Washington Nuclear Profile - Columbia Generating Station

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

    Columbia Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  13. Wisconsin Nuclear Profile - Point Beach Nuclear Plant

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

    Point Beach Nuclear Plant" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  14. Louisiana Nuclear Profile - River Bend

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

    River Bend" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  15. California Nuclear Profile - Diablo Canyon

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

    Diablo Canyon" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  16. Texas Nuclear Profile - South Texas Project

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

    South Texas Project" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  17. Tennessee Nuclear Profile - Sequoyah

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

    Sequoyah" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

  18. Pennsylvania Nuclear Profile - PPL Susquehanna

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

    PPL Susquehanna" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  19. New Jersey Nuclear Profile - PSEG Hope Creek Generating Station

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

    PSEG Hope Creek Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  20. Florida Nuclear Profile - St Lucie

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

    St Lucie" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  1. Pennsylvania Nuclear Profile - Limerick

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

    Limerick" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  2. Illinois Nuclear Profile - Dresden Generating Station

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

    Dresden Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  3. South Carolina Nuclear Profile - Catawba

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

    Catawba" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  4. Virginia Nuclear Profile - Surry

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

    Surry" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  5. Iowa Nuclear Profile - Duane Arnold Energy Center

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

    Duane Arnold Energy Center" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  6. Illinois Nuclear Profile - LaSalle Generating Station

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

    LaSalle Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  7. Illinois Nuclear Profile - Clinton Power Station

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

    Clinton Power Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  8. Vermont Nuclear Profile - Vermont Yankee

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

    Vermont Yankee" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  9. New York Nuclear Profile - Nine Mile Point Nuclear Station

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

    Nine Mile Point Nuclear Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  10. Arizona Nuclear Profile - Palo Verde

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

    Palo Verde" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  11. South Carolina Nuclear Profile - H B Robinson

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

    H B Robinson" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

  12. Texas Nuclear Profile - Comanche Peak

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

    Comanche Peak" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  13. Florida Nuclear Profile - Crystal River

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

    Crystal River1" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  14. Illinois Nuclear Profile - Byron Generating Station

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

    Byron Generating Station" ,"Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  15. Ohio Nuclear Profile - Davis Besse

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

    Davis Besse" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

  16. Tennessee Nuclear Profile - Watts Bar Nuclear Plant

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

    Watts Bar Nuclear Plant" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

  17. Minnesota Nuclear Profile - Prairie Island

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

    Prairie Island" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  18. North Carolina Nuclear Profile - Brunswick

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

    Brunswick" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  19. New Jersey Nuclear Profile - Oyster Creek

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

    Oyster Creek" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  20. Maryland Nuclear Profile - Calvert Cliffs Nuclear Power Plant

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

    Calvert Cliffs Nuclear Power Plant" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  1. New York Nuclear Profile - R E Ginna Nuclear Power Plant

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

    R E Ginna Nuclear Power Plant" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License...

  2. Massachusetts Nuclear Profile - Pilgrim Nuclear Power Station

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

    Pilgrim Nuclear Power Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer cpacity factor (percent)","Type","Commercial operation date","License...

  3. Alabama Nuclear Profile - Browns Ferry

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

    Browns Ferry" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  4. North Carolina Nuclear Profile - Harris

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

    Harris" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  5. Pennsylvania Nuclear Profile - Three Mile Island

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

    Three Mile Island" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  6. North Carolina Nuclear Profile - McGuire

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

    McGuire" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  7. Illinois Nuclear Profile - Braidwood Generation Station

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

    Braidwood Generation Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License...

  8. New York Nuclear Profile - James A Fitzpatrick

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

    James A Fitzpatrick" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  9. Arkansas Nuclear Profile - Arkansas Nuclear One

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

    Nuclear One" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  10. Wisconsin Nuclear Profile - Kewaunee

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

    Kewaunee" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer cpacity factor (percent)","Type","Commercial operation date","License expiration date"...

  11. South Carolina Nuclear Profile - V C Summer

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

    V C Summer" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  12. Nebraska Nuclear Profile - Fort Calhoun

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

    Fort Calhoun" "Unit","Summer Capacity (MW)","Net Generation (Thousand MWh)","Summer Capacity Factor (Percent)","Type","Commercial Operation Date","License Expiration Date"...

  13. Ohio Nuclear Profile - Perry

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

    Perry" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  14. Georgia Nuclear Profile - Edwin I Hatch

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

    Edwin I Hatch" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  15. Pennsylvania Nuclear Profile - Peach Bottom

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

    Peach Bottom" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  16. Michigan Nuclear Profile - Palisades

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

    Palisades" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date"...

  17. Journal Information Journal Impact Factor

    E-Print Network [OSTI]

    Krejcí, Pavel

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

  18. Rappels: 4) Piles Types abstraits de donnes (Abstract Data Type)

    E-Print Network [OSTI]

    Hamel, Sylvie

    Rappels: 4) Piles Types abstraits de données (Abstract Data Type) IFT2015, A2009, Sylvie Hamel Université de Montréal 1Piles Type de données Un ensemble de valeurs Un ensemble d'opérations Structure de Université de Montréal 2Piles Type abstrait de données PILE (§4.2) Garde en mémoire des objets arbitraires

  19. ACHIEVING CALIFORNIA'S 33 PERCENT RENEWABLE PORTFOLIO

    E-Print Network [OSTI]

    affect estimated overall costs and risks associated with alternate portfolios of generating resources........................................................................................................ 1 Chapter 2: Using the Capital asset pricing model approach to estimate the market price referent ...... system costs and, importantly, examine cost/risk interrelationships associated with this mandate

  20. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel Ethanol0

  1. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel Ethanol02

  2. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel Ethanol026

  3. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel Ethanol0268

  4. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel

  5. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel2

  6. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24 Delaware

  7. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24 Delaware6

  8. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24

  9. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240 Georgia

  10. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240 Georgia4

  11. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240

  12. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel2408

  13. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24080

  14. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802 Iowa

  15. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802 Iowa4

  16. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802

  17. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel2408028

  18. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24080280

  19. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802802

  20. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel2408028024

  1. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel24080280246

  2. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28Fuel240802802468

  3. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department

  4. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri - Natural

  5. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri - Natural4

  6. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -

  7. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -8 Nevada

  8. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -8 Nevada0

  9. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -8

  10. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -84 New

  11. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -84 New6

  12. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -84 New68

  13. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -84

  14. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -842 Ohio

  15. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -842 Ohio4

  16. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -842

  17. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -8428

  18. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -84280

  19. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -842802

  20. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -8428024

  1. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -84280246

  2. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri -842802468

  3. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri

  4. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri2 Vermont -

  5. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri2 Vermont

  6. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri2 Vermont6

  7. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri2 Vermont68

  8. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri2

  9. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department2 Missouri22 Wyoming

  10. Mechanism design with approximate types

    E-Print Network [OSTI]

    Zhu, Zeyuan Allen

    2012-01-01T23:59:59.000Z

    In mechanism design, we replace the strong assumption that each player knows his own payoff type exactly with the more realistic assumption that he knows it only approximately: each player i only knows that his true type ...

  11. Types of Farming in Texas.

    E-Print Network [OSTI]

    Bonnen, C. A.

    1960-01-01T23:59:59.000Z

    .......... .......-.----------------------. 8 Labor -..-.....-----...------------------------------------------------. 9 Land Tenure .--.----....---....--------------------------------- 9 Number and Size of Farms ....----...----.-._--------- 10 Capital... -------------...-------.---------------------------- 21 Hogs -......-....--------------------------------------------------- 22 Poultry .-.---.-.....--.-..------.---------------------------------- 22 Horses and Mules ---..-....---..--..------------------------ 23 Types of Farming and Type-of-farming...

  12. Tornado type wind turbines

    DOE Patents [OSTI]

    Hsu, Cheng-Ting (Ames, IA)

    1984-01-01T23:59:59.000Z

    A tornado type wind turbine has a vertically disposed wind collecting tower with spaced apart inner and outer walls and a central bore. The upper end of the tower is open while the lower end of the structure is in communication with a wind intake chamber. An opening in the wind chamber is positioned over a turbine which is in driving communication with an electrical generator. An opening between the inner and outer walls at the lower end of the tower permits radially flowing air to enter the space between the inner and outer walls while a vertically disposed opening in the wind collecting tower permits tangentially flowing air to enter the central bore. A porous portion of the inner wall permits the radially flowing air to interact with the tangentially flowing air so as to create an intensified vortex flow which exits out of the top opening of the tower so as to create a low pressure core and thus draw air through the opening of the wind intake chamber so as to drive the turbine.

  13. Geology and recognition criteria for uranium deposits of the quartz-pebble conglomerate type. Final report

    SciTech Connect (OSTI)

    Button, A.; Adams, S.S.

    1981-03-01T23:59:59.000Z

    This report is concerned with Precambrian uraniferous conglomerates. This class of deposit has been estimated to contain between approximately 16 and 35 percent of the global uranium reserve in two rather small areas, one in Canada, the other in South Africa. Similar conglomerates, which are often gold-bearing, are, however, rather widespread, being found in parts of most Precambrian shield areas. Data have been synthesized on the geologic habitat and character of this deposit type. The primary objective has been to provide the most relevant geologic observations in a structural fashion to allow resource studies and exploration to focus on the most prospective targets in the shortest possible time.

  14. Table A23. Quantity of Purchased Electricity, Steam, and Natural Gas by Type

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia"18.1. Quantity

  15. Table A27. Quantity of Purchased Electricity, Steam, and Natural Gas by Type

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia"18.1.Total Quantity

  16. U.S. Crude Oil Production Forecast-Analysis of Crude 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: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New England (PADD 1A)20,798 18,578 17,508Forecast-

  17. U.S. Crude Oil Production to 2025: Updated Projection of Crude 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: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New England (PADD 1A)20,798 18,578

  18. A dependent nominal type theory

    E-Print Network [OSTI]

    Cheney, James

    2012-01-01T23:59:59.000Z

    Nominal abstract syntax is an approach to representing names and binding pioneered by Gabbay and Pitts. So far nominal techniques have mostly been studied using classical logic or model theory, not type theory. Nominal extensions to simple, dependent and ML-like polymorphic languages have been studied, but decidability and normalization results have only been established for simple nominal type theories. We present a LF-style dependent type theory extended with name-abstraction types, prove soundness and decidability of beta-eta-equivalence checking, discuss adequacy and canonical forms via an example, and discuss extensions such as dependently-typed recursion and induction principles.

  19. On the asymptotic homotopy type of inductive limit Type ...

    E-Print Network [OSTI]

    In this note we exhibit large classes of (projeetionless) stable, nuclear C*- algebras whose asymptotic homotopy type is determined by K-theoretical data.

  20. Nucleon Electromagnetic Form Factors

    SciTech Connect (OSTI)

    Marc Vanderhaeghen; Charles Perdrisat; Vina Punjabi

    2007-10-01T23:59:59.000Z

    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.

  1. Source Apportionment of Stack Emissions from Research and Development Facilities Using Positive Matrix Factorization

    SciTech Connect (OSTI)

    Ballinger, Marcel Y.; Larson, Timothy V.

    2014-12-01T23:59:59.000Z

    Emissions from research and development (R&D) facilities are difficult to characterize due to the wide variety of processes used, changing nature of research, and large number of chemicals. Positive matrix factorization (PMF) was applied to volatile organic compounds (VOCs) concentrations measured in the main exhaust stacks of four different R&D buildings to identify the number and composition of major contributing sources. PMF identified from 9-11 source-related factors contributing to the stack emissions depending on the building. The factors that were similar between buildings were major contributors to trichloroethylene (TCE), acetone, and ethanol emissions. Several other factors had similar profiles for two or more buildings but not for all four. One factor for each building was a combination of p/m-xylene, o-xylene and ethylbenzene. At least one factor for each building was identified that contained a broad mix of many species and constraints were used in PMF to modify the factors to resemble more closely the off-shift concentration profiles. PMF accepted the constraints with little decrease in model fit. Although the PMF model predicted the profiles of the off-shift samples, the percent of total emissions was under-predicted by the model versus the measured data.

  2. On the need for simultaneity between X-ray and radio observations in Doppler factor estimates

    E-Print Network [OSTI]

    Liodakis, I; Pavlidou, V

    2015-01-01T23:59:59.000Z

    We use archival X-ray and radio VLBA data to calculate inverse Compton Doppler factors for four high-power radio, $\\gamma$-loud Flat Spectrum Radio Quasars frequently monitored by the F-GAMMA project. We explore the effect of the non-simultaneity between X-ray and radio observations by calculating Doppler factors for simultaneous and non-simultaneous observations. By comparing the newly re-calculated values from this work and archival values with variability Doppler factors, we show that simultaneous/quasi-simultaneous X-ray and radio observations can provide a reliable estimate of the true Doppler factor in blazar jets. For the particular case of PKS0528+134 we find that a time-difference of up to 1 week provides inverse Compton Doppler factor estimates consistent with the variability Doppler factor of this source at the 19% percent level. In contrast, time differences of more than 30 days between radio and X-ray observations result to discrepancies from 100% to more than a factor of 4.

  3. Complete genome sequence of Desulfomicrobium baculatum type strain (XT)

    SciTech Connect (OSTI)

    Copeland, Alex; Spring, Stefan; Goker, Markus; Schneider, Susanne; Lapidus, Alla; Glavina Del Rio, Tijana; Tice, Hope; Cheng, Jan-Fang; Lucas, Susan; Chen, Feng; Nolan, Matt; Bruce, David; Goodwin, Lynne; Pitluck, Sam; Ivanova, Natalia; Mavrommatis, Konstantinos; Ovchinnikova, Galina; Pati, Amrita; Chen, Amy; Palaniappan, Krishna; Land, Miriam; Hauser, Loren; Chang, Yun-Juan; Jefferies, Cynthia C; Meincke, Linda; Sims, David; Brettin, Thomas; Detter, John C; Han, Cliff; Chain, Patrick; Bristow, James; Eisen, Jonathan; Markowitz, Victor; Hugenholtz, Philip; Klenk, Hans-Peter; Kyrpides, Nikos C; Lucas, Susan

    2009-05-20T23:59:59.000Z

    Desulfomicrobium baculatum is the type species of the genus Desulfomicrobium, which is the type genus of the family Desulfomicrobiaceae. It is of phylogenetic interest because of the isolated location of the family Desulfomicrobiaceae within the order Desulfovibrionales. D. baculatum strain XT is a Gram-negative, motile, sulfate-reducing bacterium isolated from water-saturated manganese carbonate ore. It is strictly anaerobic and does not require NaCl for growth, although NaCl concentrations up to 6percent (w/v) are tolerated. The metabolism is respiratory or fermentative. In the presence of sulfate, pyruvate and lactate are incompletely oxidized to acetate and CO2. Here we describe the features of this organism, together with the complete genome sequence and annotation. This is the first completed genome sequence of a member of the deltaproteobacterial family Desulfomicrobiaceae, and this 3,942,657 bp long single replicon genome with its 3494 protein-coding and 72 RNA genes is part of the Genomic Encyclopedia of Bacteria and Archaea project.

  4. Type of Space Bulb Type #/House Fixture Style Greenhouse #

    E-Print Network [OSTI]

    Pawlowski, Wojtek

    Type of Space Bulb Type #/House Fixture Style Greenhouse # 1 Lu 430/Lu 400 24 White box style 2 Lu No bulbs 0 N/A Seed harvest room F32 T8/TL 841 90 bulbs VIGS Room F032 /741/ECO 60 bulbs Chamber Model Bulb

  5. Glucose oxidation in heart-type fatty acid binding protein null mice 

    E-Print Network [OSTI]

    Adhikari, Sean

    2006-10-30T23:59:59.000Z

    Heart-type fatty acid binding protein (H-FABP) is a major fatty acid binding factor in skeletal muscles. Genetic lack of H-FABP severely impairs the esterification and oxidation of exogenous fatty acids in soleus muscles ...

  6. Polymorphism discovery and association analyses of the interferon genes in type 1 diabetes

    E-Print Network [OSTI]

    Morris, Gerard A J; Lowe, Christopher E; Cooper, Jason D; Payne, Felicity; Vella, Adrian; Godfrey, Lisa M; Hulme, John S; Walker, Neil M; Healy, Barry C; Lam, Alex C; Lyons, Paul A; Todd, John A

    2006-02-22T23:59:59.000Z

    Abstract Background The aetiology of the autoimmune disease type 1 diabetes (T1D) involves many genetic and environmental factors. Evidence suggests that innate immune responses, including the action of interferons, may also play a role...

  7. Dynamical modelling of luminous and dark matter in 17 Coma early-type galaxies

    E-Print Network [OSTI]

    J. Thomas; R. P. Saglia; R. Bender; D. Thomas; K. Gebhardt; J. Magorrian; E. M. Corsini; G. Wegner

    2007-09-05T23:59:59.000Z

    Dynamical models for 17 Coma early-type galaxies are presented. The galaxy sample consists of flattened, rotating as well as non-rotating early-types including cD and S0 galaxies with luminosities between M=-18.79 and M=-22.56. Kinematical long-slit observations cover at least the major and minor axis and extend to 1-4 effective radii. Axisymmetric Schwarzschild models are used to derive stellar mass-to-light ratios and dark halo parameters. In every galaxy models with a dark matter halo match the data better than models without. The statistical significance is over 95 percent for 8 galaxies, around 90 percent for 5 galaxies and for four galaxies it is not significant. For the highly significant cases systematic deviations between observed and modelled kinematics are clearly seen; for the remaining galaxies differences are more statistical in nature. Best-fit models contain 10-50 percent dark matter inside the half-light radius. The central dark matter density is at least one order of magnitude lower than the luminous mass density. The central phase-space density of dark matter is often orders of magnitude lower than in the luminous component, especially when the halo core radius is large. The orbital system of the stars along the major-axis is slightly dominated by radial motions. Some galaxies show tangential anisotropy along the minor-axis, which is correlated with the minor-axis Gauss-Hermite coefficient H4. Changing the balance between data-fit and regularisation constraints does not change the reconstructed mass structure significantly. Model anisotropies tend to strengthen if the weight on regularisation is reduced, but the general property of a galaxy to be radially or tangentially anisotropic, respectively, does not change. (abridged)

  8. New approaches for modeling type Ia supernovae

    E-Print Network [OSTI]

    Zingale, Michael; Almgren, Ann S.; Bell, John B.; Day, Marcus S.; Rendleman, Charles A.; Woosley, Stan

    2007-01-01T23:59:59.000Z

    runaway in Type Ia supernovae: How to run away? oIgnition in Type Ia Supernovae. II. A Three- dimensionalnumber modeling of type Ia supernovae. I. hydrodynamics.

  9. Regular Type III and Type N Approximate Solutions

    E-Print Network [OSTI]

    Philip Downes; Paul MacAllevey; Bogdan Nita; Ivor Robinson

    2001-05-18T23:59:59.000Z

    New type III and type N approximate solutions which are regular in the linear approximation are shown to exist. For that, we use complex transformations on self-dual Robinson-Trautman metrics rather then the classical approach. The regularity criterion is the boundedness and vanishing at infinity of a scalar obtained by saturating the Bel-Robinson tensor of the first approximation by a time-like vector which is constant with respect to the zeroth approximation.

  10. P-type gallium nitride

    DOE Patents [OSTI]

    Rubin, Michael (Berkeley, CA); Newman, Nathan (Montara, CA); Fu, Tracy (Berkeley, CA); Ross, Jennifer (Pleasanton, CA); Chan, James (Berkeley, CA)

    1997-01-01T23:59:59.000Z

    Several methods have been found to make p-type gallium nitride. P-type gallium nitride has long been sought for electronic devices. N-type gallium nitride is readily available. Discovery of p-type gallium nitride and the methods for making it will enable its use in ultraviolet and blue light-emitting diodes and lasers. pGaN will further enable blue photocathode elements to be made. Molecular beam epitaxy on substrates held at the proper temperatures, assisted by a nitrogen beam of the proper energy produced several types of p-type GaN with hole concentrations of about 5.times.10.sup.11 /cm.sup.3 and hole mobilities of about 500 cm.sup.2 /V-sec, measured at 250.degree. K. P-type GaN can be formed of unintentionally-doped material or can be doped with magnesium by diffusion, ion implantation, or co-evaporation. When applicable, the nitrogen can be substituted with other group III elements such as Al.

  11. P-type gallium nitride

    DOE Patents [OSTI]

    Rubin, M.; Newman, N.; Fu, T.; Ross, J.; Chan, J.

    1997-08-12T23:59:59.000Z

    Several methods have been found to make p-type gallium nitride. P-type gallium nitride has long been sought for electronic devices. N-type gallium nitride is readily available. Discovery of p-type gallium nitride and the methods for making it will enable its use in ultraviolet and blue light-emitting diodes and lasers. pGaN will further enable blue photocathode elements to be made. Molecular beam epitaxy on substrates held at the proper temperatures, assisted by a nitrogen beam of the proper energy produced several types of p-type GaN with hole concentrations of about 5{times}10{sup 11} /cm{sup 3} and hole mobilities of about 500 cm{sup 2} /V-sec, measured at 250 K. P-type GaN can be formed of unintentionally-doped material or can be doped with magnesium by diffusion, ion implantation, or co-evaporation. When applicable, the nitrogen can be substituted with other group III elements such as Al. 9 figs.

  12. Building a completely positive factorization

    E-Print Network [OSTI]

    2010-03-14T23:59:59.000Z

    Aug 19, 2009 ... Abstract. Using a bordering approach, and building upon an already known factorization of a principal block, we establish sufficient conditions.

  13. Policies and market factors driving wind power development in the United States

    SciTech Connect (OSTI)

    Bird, Lori; Parsons, Brian; Gagliano, Troy; Brown, Matthew; Wiser, Ryan; Bolinger, Mark

    2003-07-30T23:59:59.000Z

    In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24 percent annually during the past five years. About 1,700 MW of wind energy capacity was installed in 2001, while another 410 MW became operational in 2002. This year (2003) shows promise of significant growth with more than 1,100 MW planned. With this growth, an increasing number of states are experiencing investment in wind energy projects. Wind installations currently exist in about half of all U.S. states. This paper explores the key factors at play in the states in which a substantial amount of wind energy capacity has been developed or planned. Some of the factors that are examined include policy drivers, such as renewable portfolio standards (RPS), federal and state financial incentives, and integrated resource planning; as well as market drivers, such as consumer demand for green power, natural gas price volatility, and wholesale market rules.

  14. Technology and Organizational Factors in the Notebook Industry Supply Chain

    E-Print Network [OSTI]

    Foster, William; Cheng, Zhang; Dedrick, Jason; Kraemer, Kenneth L

    2006-01-01T23:59:59.000Z

    3 Profit Margins (Percent) for Taiwanese ODMs GPM a NPM bGPM NPMGPM NPM GPM NPM Company Quanta Compal Wistron Asustek Mitac

  15. Journal Information Journal Impact Factor

    E-Print Network [OSTI]

    Krejcí, Pavel

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

  16. Gated Si nanowires for large thermoelectric power factors Neophytos Neophytou1

    E-Print Network [OSTI]

    1 Gated Si nanowires for large thermoelectric power factors Neophytos Neophytou1 and Hans Kosina2 1.Neophytou@warwick.ac.uk Abstract We investigate the effect of electrostatic gating on the thermoelectric power factor of p-type Si, coupled to linearized Boltzmann transport equation for the calculation of the thermoelectric coefficients

  17. Emission Factor for Antimony in Brake Abrasion Dusts as One of the

    E-Print Network [OSTI]

    Short, Daniel

    originating from automobiles. Abrasion dusts from commercially available brake pads (nonasbestos organic type factors originating from automobiles were approximately 32 µg Sb/braking/car for PM10 and 22 µg Sb of automobiles to the atmospheric Sb concen- tration. The emission factors of pollutants from automobiles have

  18. Factors influencing quantitative liquid (scanning) transmission...

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

    Factors influencing quantitative liquid (scanning) transmission electron microscopy. Factors influencing quantitative liquid (scanning) transmission electron microscopy. Abstract:...

  19. Fast controller for a unity-power-factor PWM rectifier

    SciTech Connect (OSTI)

    Eissa, M.O.; Leeb, S.B.; Verghese, G.C. [Massachusetts Inst. of Tech., Cambridge, MA (United States). Lab. for Electromagnetic and Electronic Systems] [Massachusetts Inst. of Tech., Cambridge, MA (United States). Lab. for Electromagnetic and Electronic Systems; Stankovic, A.M. [Northeastern Univ., Boston, MA (United States)] [Northeastern Univ., Boston, MA (United States)

    1996-01-01T23:59:59.000Z

    This paper presents an analog implementation of a fast controller for a unity-power-factor (UPF) PWM rectifier. The best settling times of many popular controllers for this type of converter are on the order of a few line cycles, corresponding to bandwidths under 20 Hz. The fast controller demonstrated in this paper can exercise control action at a rate comparable to the switching frequency rather than the line frequency. In order to accomplish this while maintaining unity power factor during steady-state operation, the fast controller employs a ripple-feedback cancellation scheme.

  20. Type Ia Supernova Explosion Models

    E-Print Network [OSTI]

    W. Hillebrandt; J. C. Niemeyer

    2000-06-21T23:59:59.000Z

    Because calibrated light curves of Type Ia supernovae have become a major tool to determine the local expansion rate of the Universe and also its geometrical structure, considerable attention has been given to models of these events over the past couple of years. There are good reasons to believe that perhaps most Type Ia supernovae are the explosions of white dwarfs that have approached the Chandrasekhar mass, M_ch ~ 1.39 M_sun, and are disrupted by thermonuclear fusion of carbon and oxygen. However, the mechanism whereby such accreting carbon-oxygen white dwarfs explode continues to be uncertain. Recent progress in modeling Type Ia supernovae as well as several of the still open questions are addressed in this review. Although the main emphasis will be on studies of the explosion mechanism itself and on the related physical processes, including the physics of turbulent nuclear combustion in degenerate stars, we also discuss observational constraints.

  1. Energy efficiency in California laboratory-type facilities

    SciTech Connect (OSTI)

    Mills, E.; Bell, G.; Sartor, D. [and others

    1996-07-31T23:59:59.000Z

    The central aim of this project is to provide knowledge and tools for increasing the energy efficiency and performance of new and existing laboratory-type facilities in California. We approach the task along three avenues: (1) identification of current energy use and savings potential, (2) development of a {ital Design guide for energy- Efficient Research Laboratories}, and (3) development of a research agenda for focused technology development and improving out understanding of the market. Laboratory-type facilities use a considerable amount of energy resources. They are also important to the local and state economy, and energy costs are a factor in the overall competitiveness of industries utilizing laboratory-type facilities. Although the potential for energy savings is considerable, improving energy efficiency in laboratory-type facilities is no easy task, and there are many formidable barriers to improving energy efficiency in these specialized facilities. Insufficient motivation for individual stake holders to invest in improving energy efficiency using existing technologies as well as conducting related R&D is indicative of the ``public goods`` nature of the opportunity to achieve energy savings in this sector. Due to demanding environmental control requirements and specialized processes, laboratory-type facilities epitomize the important intersection between energy demands in the buildings sector and the industrial sector. Moreover, given the high importance and value of the activities conducted in laboratory-type facilities, they represent one of the most powerful contexts in which energy efficiency improvements stand to yield abundant non-energy benefits if properly applied.

  2. Nitrification Capacities of Texas Soil Types and Factors which Affect Nitrification.

    E-Print Network [OSTI]

    Sterges, A. J.; Fraps, G S. (George Stronach)

    1947-01-01T23:59:59.000Z

    .p.m. Gulf Coast Prairie Upland soils Lake Charles clay loam. ............... .......... Lake Charles fine sandy loam. Lake Charles clay.. ................... Edna fine sandy loam.. ................ ............. Hockley fine sandy loam.. Alluvial... soils Miller fine sandy loam.. ............... Miller clay.. ......................... Ochlockonee silt loam.. ............... ......... Ochlockonee fine sandy loam.. Trinity clay.. ......................... pahala clay...

  3. Do risk factors explain the increased prevalence of type 2 diabetes among California Asian adults?

    E-Print Network [OSTI]

    Choi, Sarah E; Chow, Vincent H; Chung, Sarah J; Wong, Nathan D

    2011-01-01T23:59:59.000Z

    the United States: March 2000 (Update) (PPL-146). Availablepopulation/www/socdemo/race/ppl-146. html. Accessed 7 Mar

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

    E-Print Network [OSTI]

    Lohaus, James Harold

    1999-01-01T23:59:59.000Z

    to determining settling velocities of HYDOX-generated plutonium dioxide aerosols. The change of particle size distribution over time and space can be derived, leading ultimately to an assessment of the dose from an unplanned release of plutonium dioxide....

  5. Factors affecting the adoption of recommended agricultural practices by three different types of farmers in Mexico

    E-Print Network [OSTI]

    Garza-Falcon, Gilberto Severino

    1968-01-01T23:59:59.000Z

    information and recommended farming practices adopted. A coefficient of linear correlation was used to test the hypotheses (6). To gain acceptance by farmers, the investigator became identified with the College of Agriculture of the Instituto Tecnologico y...

  6. Interplay Between Viral and Cellular Factors Determines the Fate of Herpes Simplex Virus type I Infection

    E-Print Network [OSTI]

    Mabrouk-Mostafa, Heba

    2014-05-31T23:59:59.000Z

    are Attenuated for Viral Replication and Impaired for Explant- Induced Reactivation 2.1 Abstract 2.2 Materials and Methods 2.3 Results 2.4 Discussion 2.5 Figures and Figure legends Chapter 3: N-terminal phosphorylation sites of herpes simplex virus 1 ICP0... differentially regulate its activities and enhance viral replication. 3.1 Abstract 3.2 Materials and Methods 3.3 Results 3.4 Discussion 3.5 Tables 3.6 Figures and Figure legends Chapter 4: Two Amino Acid Substitutions in Herpes Simplex Virus 1 ICP6 Impair...

  7. Factors influencing plant succession following fire in Ashe juniper woodland types in Real County, Texas

    E-Print Network [OSTI]

    Huss, Donald Lee

    1954-01-01T23:59:59.000Z

    . ~E~oical ~Stat s ~o Ashe ~Ji i The Edwards Platecu of Texas, which extends west to the Pecos Iliver, north to the Staked Plains and is bounded on the south and east by the Balcones Fault, is an important ranching province of the state (Blair 1950... condition but in recent times, the juniper was forced to areas in- accessible to Indian i'iree. Gsskill (1905) states that the Rio Grande Plains and area surrounding San Antonio were treeless because of fire and that the charcoal which should be evident...

  8. Closed tachyon solitons in type II string theory

    E-Print Network [OSTI]

    Iñaki García-Etxebarria; Miguel Montero; Angel M. Uranga

    2015-05-20T23:59:59.000Z

    Type II theories can be described as the endpoint of closed string tachyon condensation in certain orbifolds of supercritical type 0 theories. In this paper, we study solitons of this closed string tachyon and analyze the nature of the resulting defects in critical type II theories. The solitons are classified by the real K-theory groups KO of bundles associated to pairs of supercritical dimensions. For real codimension 4 and 8, corresponding to $KO({\\bf S}^4)={\\bf Z}$ and $KO({\\bf S}^8)={\\bf Z}$, the defects correspond to a gravitational instanton and a fundamental string, respectively. We apply these ideas to reinterpret the worldsheet GLSM, regarded as a supercritical theory on the ambient toric space with closed tachyon condensation onto the CY hypersurface, and use it to describe charged solitons under discrete isometries. We also suggest the possible applications of supercritical strings to the physical interpretation of the matrix factorization description of F-theory on singular spaces.

  9. Risk factors for equine laminitis

    E-Print Network [OSTI]

    Polzer, John Patrick

    1995-01-01T23:59:59.000Z

    logistic regression to assess age, breed, sex, and seasonality as risk factors for equine laminitis. There were 70 acute cases, 183 chronic cases, and 779 controls. No statistical association was found between age, breed, sex, or seasonality...

  10. Electrical and Production Load Factors 

    E-Print Network [OSTI]

    Sen, Tapajyoti

    2010-07-14T23:59:59.000Z

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

  11. Factors Affecting Option Premium Values

    E-Print Network [OSTI]

    Johnson, Jason; Smith, Jackie; Dhuyvetter, Kevin C.; Waller, Mark L.

    1999-06-23T23:59:59.000Z

    Factors Affecting Option Premium Values Jason Johnson, Jackie Smith, Kevin Dhuyvetter and Mark Waller* Put Options Hedging in the futures market with options is much like buying an insurance policy to protect commodity sellers against declining...

  12. Electrical and Production Load Factors

    E-Print Network [OSTI]

    Sen, Tapajyoti

    2010-07-14T23:59:59.000Z

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

  13. Integer factorization is in P

    E-Print Network [OSTI]

    owner

    2014-04-07T23:59:59.000Z

    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 ...

  14. Automatic Test Factoring for Java

    E-Print Network [OSTI]

    Saff, David

    2005-06-08T23:59:59.000Z

    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 ...

  15. Human Factors of Reporting Systems

    E-Print Network [OSTI]

    Johnson, C.W.

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

  16. Radiant-interchange configuration factors

    E-Print Network [OSTI]

    Reddin, Thomas Edward

    1965-01-01T23:59:59.000Z

    an important role in any situation involving radiant interchange. The engineer desiring to compute the radiant heat transfer in a system is usually discouraged from performing more than a superficial estimation because of the excessive amount of time... Monitor System using the Fortran IV Compiler and the Macro Assembly Program. Listings of the programs appear in the appendices. CHAPTER II THE GEOMETRY OF THE BLACK BODY CONFIGURATION FACTOR 2. 1 Derivation of the Configuration Factor To evaluate...

  17. Factors regulating PAH transformations in disturbed coastal sediments

    SciTech Connect (OSTI)

    LeBlanc, L.A.; Gulnick, J.D.; Brownawell, B.J.; Taylor, G.T. [State Univ. of New York, Stony Brook, NY (United States). Marine Sciences Research Center

    1995-12-31T23:59:59.000Z

    Important limitations to bacterial transformations of polycyclic aromatic hydrocarbon (PAH) compounds in sediments include compound structure, dissolved concentration and oxygen availability. Here the authors present evidence suggesting that dissolved concentration is as important as structure in controlling degradation in radiolabeled sediments in flow through microcosms. Results from experiments where the mineralization rates of naphthalene phenanthrene and benzo[a]pyrene were related to the degree of oxygenation of suboxic sediments via sediment resuspension, showed that differences between mineralization rates and percent maximum degradation never varied by more than a factor of two between naphthalene and phenanthrene, despite phenanthrene having sixteen-fold greater hydrophobicity. The results also showed that dissolved naphthalene concentrations in the overlying water from frequently resuspended sediments were much farther below equilibrium predictions than dissolved concentrations of phenanthrene and B[a]P. The authors postulate that kinetic limitations to desorption into the aqueous phase limits the biodegradation of naphthalene to a greater extent than for phenanthrene and B[a]P. Results from experiments relating desorption from sediment to mineralization in side-by-side comparisons showed that labeled sediments undergoing resuspension in microcosms desorbed much less naphthalene than phenanthrene, and that the amount desorbed was largely underpredicted by a kinetic radial diffusion model, especially for naphthalene. Desorption rate limitation in the system may help to explain the similar degree of mineralization of naphthalene and phenanthrene seen in the experiments.

  18. Country Scotland Type Single malt

    E-Print Network [OSTI]

    Izzard, Rob

    Country Scotland Type Single malt Distillery Aberfeldy Region Highlands Age 12 years ABV 40% Cask, the perfume characteristics become more spicy, with a bitter hint of Seville oranges in a decidedly dry finish. Drying citrus/oak with a gentle spiciness, held in a warm embrace of cigar smoke, and a little vanilla

  19. Country Scotland Type Single malt

    E-Print Network [OSTI]

    Izzard, Rob

    Country Scotland Type Single malt Distillery Jura Region Island Name Prophecy ABV 46 Cask French airport Notes Limited annual release: 10,000 bottles only. Nose Some peat, aniseed, oily, dry, pungent, dried hay, and anise round things out. Palate Smoky and dry, a muscular, powerful Jura with notes

  20. Some evidence on determinants of fuel economy as a function of driving cycle and test type

    SciTech Connect (OSTI)

    Santini, D.J.; Anderson, J.

    1993-08-01T23:59:59.000Z

    Statistical methods are used with 107 vehicles whose fuel economy was presented and reported for five test types in a single publication by Consumers Union (CU) for 1986--1988 vehicles. Standard loglinear statistical formulations (i.e., multiplicative models of interactions) are used with data from this and supplementary sources to develop coefficients estimating the percent fuel economy gain per percent change in engine/vehicle design characteristic. The coefficients are developed for the five different test conditions evaluated by CU and are compared with each other on the basis of attributes of the tests. The insights of engineering models are used to develop expectations regarding the shift in size of coefficients as driving cycles change. In both the engineering models and the statistical model, the effect of weight is estimated to be higher in urban driving than in highway driving. For two test categories -- field tests and dynamometer tests -- the benefits of weight reduction are statistically estimated to be greatest in urban driving conditions. The effect on idle fuel flow rate of designing vehicles to hold performance roughly constant by maintaining power per kilogram and/or displacement per kilogram is examined, and its implication for the size of the weight effect is simply approximated from Sovran`s 1983 engineering model results. The fuel-economy-decreasing effect of the desire for performance is estimated to be somewhat larger in the statistical analysis than in the NAS study, when engine technology is held constant.

  1. Automatic Utterance Type Detection Using Suprasegmental Features 

    E-Print Network [OSTI]

    Wright, Helen

    that different types of utterances have different suprasegmental characteristics. The categorisation of these utterance types is based on the theory of conversation games and consists of 12 move types (e.g. reply to a question, wh-question, acknowledgement...

  2. Tridiagonal pairs of Krawtchouk type

    E-Print Network [OSTI]

    Ito, Tatsuro

    2007-01-01T23:59:59.000Z

    Let $K$ denote an algebraically closed field with characteristic 0 and let $V$ denote a vector space over $K$ with finite positive dimension. Let $A,A^*$ denote a tridiagonal pair on $V$ with diameter $d$. We say that $A,A^*$ has Krawtchouk type whenever the sequence $\\lbrace d-2i\\rbrace_{i=0}^d$ is a standard ordering of the eigenvalues of $A$ and a standard ordering of the eigenvalues of $A^*$. Assume $A,A^*$ has Krawtchouk type. We show that there exists a nondegenerate symmetric bilinear form $$ on $V$ such that $= $ and $= $ for $u,v\\in V$. We show that the following tridiagonal pairs are isomorphic: (i) $A,A^*$; (ii) $-A,-A^*$; (iii) $A^*,A$; (iv) $-A^*,-A$. We give a number of related results and conjectures.

  3. Abstract DNA-type systems

    E-Print Network [OSTI]

    Diederik Aerts; Marek Czachor

    2005-12-22T23:59:59.000Z

    An abstract DNA-type system is defined by a set of nonlinear kinetic equations with polynomial nonlinearities that admit soliton solutions associated with helical geometry. The set of equations allows for two different Lax representations: A von Neumann form and a Darboux-covariant Lax pair. We explain why non-Kolmogorovian probability models occurring in soliton kinetics are naturally associated with chemical reactions. The most general known characterization of soliton kinetic equations is given and a class of explicit soliton solutions is discussed. Switching between open and closed states is a generic behaviour of the helices. The effect does not crucially depend on the order of nonlinearity (i.e. types of reactions), a fact that may explain why simplified models possess properties occuring in realistic systems. We explain also why fluctuations based on Darboux transformations will not destroy the dynamics but only switch between a finite number of helical structures.

  4. Niger Delta play types, Nigeria

    SciTech Connect (OSTI)

    Akinpelu, A.O. [Chevron Nigeria Limited, Lagos (Nigeria)

    1995-08-01T23:59:59.000Z

    Exploration databases can be more valuable when sorted by play type. Play specific databases provide a system to organize E & P data used in evaluating the range of values of parameters for reserve estimation and risk assessment. It is important both in focusing the knowledge base and in orienting research effort. A play in this context is any unique combination of trap, reservoir and source properties with the right dynamics of migration and preservation that results in hydrocarbon accumulation. This definitions helps us to discriminate the subtle differences found with these accumulation settings. About 20 play types were identified around the Niger Delta oil province in Nigeria. These are grouped into three parts: (1) The proven plays-constituting the bulk of exploration prospects in Nigeria today. (2) The unproven or semi-proven plays usually with some successes recorded in a few tries but where knowledge is still inadequate. (3) The unproven or analogous play concept. These are untested but geologically sound ideas which may or may not have been tried elsewhere. With classification and sub grouping of these play types into specific databases, intrinsic attributes and uniqueness of each of them with respect to the four major risk elements and the eight parameters for reserve estimation can be better understood.

  5. The Outermost Ejecta of Type Ia Supernovae

    E-Print Network [OSTI]

    Masaomi Tanaka; Paolo A. Mazzali; Stefano Benetti; Ken'ichi Nomoto; Nancy Elias-Rosa; Rubina Kotak; Giuliano Pignata; Vallery Stanishev; Stephan Hachinger

    2007-12-17T23:59:59.000Z

    The properties of the highest velocity ejecta of normal Type Ia supernovae (SNe Ia) are studied via models of very early optical spectra of 6 SNe. At epochs earlier than 1 week before maximum, SNe with a rapidly evolving Si II 6355 line velocity (HVG) have a larger photospheric velocity than SNe with a slowly evolving Si II 6355 line velocity (LVG). Since the two groups have comparable luminosities, the temperature at the photosphere is higher in LVG SNe. This explains the different overall spectral appearance of HVG and LVG SNe. However, the variation of the Ca II and Si II absorptions at the highest velocities (v >~ 20,000 km/s) suggests that additional factors, such as asphericity or different abundances in the progenitor white dwarf, affect the outermost layers. The C II 6578 line is marginally detected in 3 LVG SNe, suggesting that LVG undergo less intense burning. The carbon mass fraction is small, only less than 0.01 near the photosphere, so that he mass of unburned C is only <~ 0.01 Msun. Radioactive 56Ni and stable Fe are detected in both LVG and HVG SNe. Different Fe-group abundances in the outer layers may be one of the reasons for spectral diversity among SNe Ia at the earliest times. The diversity among SNe Ia at the earliest phases could also indicate an intrinsic dispersion in the width-luminosity relation of the light curve.

  6. Optimization Online - Integer Factorization is in P

    E-Print Network [OSTI]

    Yuly Shipilevsky

    2012-08-31T23:59:59.000Z

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

  7. hal00270574, Testing Data Types Implementations from

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    is data type abstraction, testing a concrete implementation raises the issue of the gap betweenhal­00270574, version 1 ­ 6 Apr 2008 Testing Data Types Implementations from Algebraic Speci#12.legall@ibisc.univ-evry.fr Abstract. Algebraic speci#12;cations of data types provide a natural basis for testing data types

  8. XML Document XML Document Types and Validation

    E-Print Network [OSTI]

    Weber, Gregory D.

    XML Document Types and Validation IIM-I340 Objectives XML Document Types and Validation IIM-I340 April, 2010 #12;XML Document Types and Validation IIM-I340 Objectives Learning Objectives Understand: The need for validation Two ways to specify validity: Document Type Definitions (DTDs) XML Schemas #12;XML

  9. Transcription factor-based biosensor

    DOE Patents [OSTI]

    2013-10-08T23:59:59.000Z

    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.

  10. Wheel-type magnetic refrigerator

    DOE Patents [OSTI]

    Barclay, John A. (Los Alamos, NM)

    1983-01-01T23:59:59.000Z

    The disclosure is directed to a wheel-type magnetic refrigerator capable of cooling over a large temperature range. Ferromagnetic or paramagnetic porous materials are layered circumferentially according to their Curie temperature. The innermost layer has the lowest Curie temperature and the outermost layer has the highest Curie temperature. The wheel is rotated through a magnetic field perpendicular to the axis of the wheel and parallel to its direction of rotation. A fluid is pumped through portions of the layers using inner and outer manifolds to achieve refrigeration of a thermal load.

  11. Wheel-type magnetic refrigerator

    DOE Patents [OSTI]

    Barclay, J.A.

    1982-01-20T23:59:59.000Z

    The disclosure is directed to a wheel-type magnetic refrigerator capable of cooling over a large temperature range. Ferromagnetic or paramagnetic porous materials are layered circumferentially according to their Curie temperature. The innermost layer has the lowest Curie temperature and the outermost layer has the highest Curie temperature. The wheel is rotated through a magnetic field perpendicular to the axis of the wheel and parallel to its direction of rotation. A fluid is pumped through portions of the layers using inner and outer manifolds to achieve refrigeration of a thermal load.

  12. Wheel-type magnetic refrigerator

    DOE Patents [OSTI]

    Barclay, J.A.

    1983-10-11T23:59:59.000Z

    The disclosure is directed to a wheel-type magnetic refrigerator capable of cooling over a large temperature range. Ferromagnetic or paramagnetic porous materials are layered circumferentially according to their Curie temperature. The innermost layer has the lowest Curie temperature and the outermost layer has the highest Curie temperature. The wheel is rotated through a magnetic field perpendicular to the axis of the wheel and parallel to its direction of rotation. A fluid is pumped through portions of the layers using inner and outer manifolds to achieve refrigeration of a thermal load. 7 figs.

  13. Factors Impacting Decommissioning Costs - 13576

    SciTech Connect (OSTI)

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

    2013-07-01T23:59:59.000Z

    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)

  14. The role of redundancy in jacket-type offshore platforms

    E-Print Network [OSTI]

    Womble, J'nina Elaine

    1988-01-01T23:59:59.000Z

    . The reliability of a structure is influenced by its ability to redistribute and carry load after the failure of a component or components. The reliability of the structure, in fact, increases as the ability to redis- tribute load increases. The ability... in every remaining member is less that its capacity. The focus of this paper is the relationship between redundancy and the reliability of jacket-type platforms. The reliability of these systems is discussed in terms of two factors which in this paper...

  15. Can Deflagration-Detonation-Transitions occur in Type Ia Supernovae?

    E-Print Network [OSTI]

    J. C. Niemeyer

    1999-07-19T23:59:59.000Z

    The mechanism for deflagration-detonation-transition (DDT) by turbulent preconditioning, suggested to explain the possible occurrence of delayed detonations in Type Ia supernova explosions, is argued to be conceptually inconsistent. It relies crucially on diffusive heat losses of the burned material on macroscopic scales. Regardless of the amplitude of turbulent velocity fluctuations, the typical gradient scale for temperature fluctuations is shown to be the laminar flame width or smaller, rather than the factor of thousand more required for a DDT. Furthermore, thermonuclear flames cannot be fully quenched in regions much larger than the laminar flame width as a consequence of their simple ``chemistry''. Possible alternative explosion scenarios are briefly discussed.

  16. Hydrogen in Type Ic Supernovae?

    E-Print Network [OSTI]

    David Branch; David J. Jeffery; Timothy R. Young; E. Baron

    2006-05-09T23:59:59.000Z

    By definition, a Type Ic supernova (SN Ic) does not have conspicuous lines of hydrogen or helium in its optical spectrum. SNe Ic usually are modelled in terms of the gravitational collapse of bare carbon-oxygen cores. We consider the possibility that the spectra of ordinary (SN 1994I-like) SNe Ic have been misinterpreted, and that SNe Ic eject hydrogen. An absorption feature usually attributed to a blend of Si II 6355 and C II 6580 may be produced by H-alpha. If SN 1994I-like SNe Ic eject hydrogen, the possibility that hypernova (SN 1998bw-like) SNe Ic, some of which are associated with gamma-ray bursts, also eject hydrogen should be considered. The implications of hydrogen for SN Ic progenitors and explosion models are briefly discussed.

  17. Chemical factors that control lignin polymerization

    SciTech Connect (OSTI)

    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

    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.

  18. A review of electrochromic window performance factors

    SciTech Connect (OSTI)

    Selkowitz, S.E.; Rubin, M.; Lee, E.S.; Sullivan, R.; Finlayson, E.; Hopkins, D.

    1994-04-01T23:59:59.000Z

    The performance factors which will influence the market acceptance of electrochromic windows are reviewed. A set of data representing the optical properties of existing and foreseeable electrochromic window devices was generated. The issue of reflective versus absorbing electrochromics was explored. This data was used in the DOE 2.1 building energy model to calculate the expected energy savings compared to conventional glazings. The effects of several different control strategies were tested. Significant energy and peak electric demand benefits were obtained for some electrochromic types. Use of predictive control algorithms to optimize cooling control may result in greater energy savings. Initial economic results considering annual savings, cooling equipment cost savings, and electrochromic window costs are presented. Calculations of thermal and visual comfort show additional benefits from electrochromics but more work is needed to quantify their importance. The design freedom and aesthetic possibilities of these dynamic glazings should provide additional market benefits, but their impact is difficult to assess at this time. Ultimately, a full assessment of the market viability of electrochromics must consider the impacts of all of these issues.

  19. Human Factors Aspects of Operating Small Reactors

    SciTech Connect (OSTI)

    OHara, J.M.; Higgins, J.; Deem, R. (BNL); Xing, J.; DAgostino, A. (NRC)

    2010-11-07T23:59:59.000Z

    The nuclear-power community has reached the stage of proposing advanced reactor designs to support power generation for decades to come. They are considering small modular reactors (SMRs) as one approach to meet these energy needs. While the power output of individual reactor modules is relatively small, they can be grouped to produce reactor sites with different outputs. Also, they can be designed to generate hydrogen, or to process heat. Many characteristics of SMRs are quite different from those of current plants, and so may require a concept of operations (ConOps) that also is different. The U.S. Nuclear Regulatory Commission (NRC) has begun examining the human factors engineering- (HFE) and ConOps- aspects of SMRs; if needed, they will formulate guidance to support SMR licensing reviews. We developed a ConOps model, consisting of the following dimensions: Plant mission; roles and responsibilities of all agents; staffing, qualifications, and training; management of normal operations; management of off-normal conditions and emergencies; and, management of maintenance and modifications. We are reviewing information on SMR design to obtain data about each of these dimensions, and have identified several preliminary issues. In addition, we are obtaining operations-related information from other types of multi-module systems, such as refineries, to identify lessons learned from their experience. Here, we describe the project's methodology and our preliminary findings.

  20. Comparison of crystal growth and thermoelectric properties of n-type Bi-Se-Te and p-type Bi-Sb-Te nanocrystalline thin films: Effects of homogeneous irradiation with an electron beam

    SciTech Connect (OSTI)

    Takashiri, Masayuki, E-mail: takashiri@tokai-u.jp; Imai, Kazuo; Uyama, Masato; Nishi, Yoshitake [Department of Materials Science, Tokai University, 4-1-1 Kitakaname, Hiratsuka, Kanagawa 259-1292 (Japan); Hagino, Harutoshi; Miyazaki, Koji [Department of Mechanical and Control Engineering, Kyushu Institute of Technology, 1-1 Sensui, Tobata-ku, Kitakyushu 804-8550 (Japan); Tanaka, Saburo [Department of Mechanical Engineering, College of Engineering, Nihon University, Nakagawara, Tokusada, Tamuramachi, Koriyama, Fukushima 963-8642 (Japan)

    2014-06-07T23:59:59.000Z

    The effects of homogenous electron beam (EB) irradiation on the crystal growth and thermoelectric properties of n-type Bi-Se-Te and p-type Bi-Sb-Te thin films were investigated. Both types of thin films were prepared by flash evaporation, after which homogeneous EB irradiation was performed at an acceleration voltage of 0.17?MeV. For the n-type thin films, nanodots with a diameter of less than 10?nm were observed on the surface of rice-like nanostructures, and crystallization and crystal orientation were improved by EB irradiation. The resulting enhancement of mobility led to increased electrical conductivity and thermoelectric power factor for the n-type thin films. In contrast, the crystallization and crystal orientation of the p-type thin films were not influenced by EB irradiation. The carrier concentration increased and mobility decreased with increased EB irradiation dose, possibly because of the generation of defects. As a result, the thermoelectric power factor of p-type thin films was not improved by EB irradiation. The different crystallization behavior of the n-type and p-type thin films is attributed to atomic rearrangement during EB irradiation. Selenium in the n-type thin films is more likely to undergo atomic rearrangement than the other atoms present, so only the crystallinity of the n-type Bi-Se-Te thin films was enhanced.

  1. An analysis of factors contributing to train-involved crashes

    E-Print Network [OSTI]

    Cooner, Scott Allen

    1995-01-01T23:59:59.000Z

    analyzed for the contributing factors. The contributing factors were classified into four categories: railroad factors, environmental factors, roadway factors, and driver/passenger factors. The accident data was analyzed using one and two-way classification...

  2. Proof and Definition in Logic and Type Theory Proof and Definition in Logic and Type Theory

    E-Print Network [OSTI]

    Adams, Robin

    Proof and Definition in Logic and Type Theory Proof and Definition in Logic and Type Theory Robin questions. #12;Proof and Definition in Logic and Type Theory Definition and Proof Definition and proof -- but they are not in predicate logic or type theory. #12;Proof and Definition in Logic and Type Theory Methods of Definition

  3. Thermoelectric power factor enhancement with gate-all-around silicon nanowires Benjamin M. Curtin and John E. Bowers

    E-Print Network [OSTI]

    Bowers, John

    Thermoelectric power factor enhancement with gate-all-around silicon nanowires Benjamin M. Curtin and thermoelectric properties of very high power factor Fe3O4/SiO2/p-type Si(001) devices J. Appl. Phys. 115, 033709 (2014); 10.1063/1.4861729 A comprehensive study of thermoelectric and transport properties of -silicon

  4. Factors affecting the selling prices of small firms

    E-Print Network [OSTI]

    Somervuo, Timo J. (Timo Juhani)

    2008-01-01T23:59:59.000Z

    58 percent of the jobs in the United Stated are created by firms with fewer than 500 employees (Davis, et al. [1998]). Yet, there is only limited research done on the industry trends and conditions affecting small company ...

  5. Hydrogeologic and topographic factors influencing well yields in fractured crystalline rocks - Seoul, Republic of Korea

    E-Print Network [OSTI]

    Kim, Sang-Il

    1990-01-01T23:59:59.000Z

    , it is necessary to evaluate the factors affecting specific capacity. Siddiqui and Parizek (1971) state that the specific capacity of' a well may be affected by the well radiils, srdilrated thickness of rock penetrated by the well and several other factors.... (Siegel, 1956). In the present study, it was applied to evaluate the significance of differences in the effects of topographic setting, rock type, and distance from the Han River on the productivity of wells (Table 2). The statistic, V, used...

  6. Archive Reference Buildings by Building Type: Supermarket

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  7. Archive Reference Buildings by Building Type: Warehouse

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  8. New approaches for modeling type Ia supernovae

    E-Print Network [OSTI]

    Zingale, Michael; Almgren, Ann S.; Bell, John B.; Day, Marcus S.; Rendleman, Charles A.; Woosley, Stan

    2007-01-01T23:59:59.000Z

    ich and J. Stein. On the thermonuclear runaway in Type IaSmall-Scale Stability of Thermonuclear Flames o in Type IaS. E. Woosley. The thermonuclear explosion of chandrasekhar

  9. Double field theory of type II strings

    E-Print Network [OSTI]

    Hohm, Olaf

    We use double field theory to give a unified description of the low energy limits of type IIA and type IIB superstrings. The Ramond-Ramond potentials fit into spinor representations of the duality group O(D, D) and ...

  10. Ideal bandpasses for type Ia supernova cosmology

    E-Print Network [OSTI]

    Davis, Tamara M.; Schmidt, Brian P.; Kim, Alex G.

    2005-01-01T23:59:59.000Z

    diversity of type Ia Supernovae, in preparation. Kim, A.error in measurements of supernovae depends on a periodicABSTRACT To use type Ia supernovae as standard candles for

  11. Nonlinear relationships between individual IEQ factors and overall workspace satisfaction

    E-Print Network [OSTI]

    Kim, Jungsoo; de Dear, Richard

    2011-01-01T23:59:59.000Z

    in dissatisfaction. So for Bonus Factors, the absolute valuemarketing literature), (2) Bonus Factors (synonyms include “for occupants’ satisfaction. Bonus Factors: Bonus Factors go

  12. Overload permit rules applicable to H-type and HS-type bridges

    E-Print Network [OSTI]

    Litchfield, Stephen Charles

    1994-01-01T23:59:59.000Z

    This document defines standards for issuing permits for overweight vehicles crossing standard H-type and HS-type Texas highway bridges. A general formula and a bridge specific formula have been developed for simple spans of both bridge types...

  13. Rates and progenitors of type Ia supernovae

    E-Print Network [OSTI]

    Wood-Vasey, William Michael

    2004-01-01T23:59:59.000Z

    Supernovae . . . . . . . . . . . . . . . . . . . .Supernovae Found 5.1 Introduction . . . . . . . . . . . .1.2 Non-Type Ia Supernovae . . . . . . . . . . . . . . . 1.3

  14. Fuzzy Typing for Document Management Alison HUETTNER

    E-Print Network [OSTI]

    Wu, Dekai

    Fuzzy Typing for Document Management Alison HUETTNER Clairvoyance Corporation 5301 Fifth Avenue method of document analysis and management, based on a combination of techniques from NLP and fuzzy logic typing for document management. The fuzzy typing approach is general in scope and can be applied to many

  15. Nucleosynthesis in Type Ia Supernovae

    E-Print Network [OSTI]

    K. Nomoto; K. Iwamoto; N. Nakasato; F. -K. Thielemann; F. Brachwitz; T. Tsujimoto; Y. Kubo; N. Kishimoto

    1997-06-03T23:59:59.000Z

    Among the major uncertainties involved in the Chandrasekhar mass models for Type Ia supernovae are the companion star of the accreting white dwarf (or the accretion rate that determines the carbon ignition density) and the flame speed after ignition. We present nucleosynthesis results from relatively slow deflagration (1.5 - 3 % of the sound speed) to constrain the rate of accretion from the companion star. Because of electron capture, a significant amount of neutron-rich species such as ^{54}Cr, ^{50}Ti, ^{58}Fe, ^{62}Ni, etc. are synthesized in the central region. To avoid the too large ratios of ^{54}Cr/^{56}Fe and ^{50}Ti/^{56}Fe, the central density of the white dwarf at thermonuclear runaway must be as low as \\ltsim 2 \\e9 \\gmc. Such a low central density can be realized by the accretion as fast as $\\dot M \\gtsim 1 \\times 10^{-7} M_\\odot yr^{-1}$. These rapidly accreting white dwarfs might correspond to the super-soft X-ray sources.

  16. Type Ia Supernova Carbon Footprints

    E-Print Network [OSTI]

    Thomas, R C; Aragon, C; Antilogus, P; Bailey, S; Baltay, C; Bongard, S; Buton, C; Canto, A; Childress, M; Chotard, N; Copin, Y; Fakhouri, H K; Gangler, E; Hsiao, E Y; Kerschhaggl, M; Kowalski, M; Loken, S; Nugent, P; Paech, K; Pain, R; Pecontal, E; Pereira, R; Perlmutter, S; Rabinowitz, D; Rigault, M; Rubin, D; Runge, K; Scalzo, R; Smadja, G; Tao, C; Weaver, B A; Wu, C; Brown, P J; Milne, P A

    2011-01-01T23:59:59.000Z

    We present convincing evidence of unburned carbon at photospheric velocities in new observations of 5 Type Ia supernovae (SNe Ia) obtained by the Nearby Supernova Factory. These SNe are identified by examining 346 spectra from 124 SNe obtained before +2.5 d relative to maximum. Detections are based on the presence of relatively strong C II 6580 absorption "notches" in multiple spectra of each SN, aided by automated fitting with the SYNAPPS code. Four of the 5 SNe in question are otherwise spectroscopically unremarkable, with ions and ejection velocities typical of SNe Ia, but spectra of the fifth exhibits high-velocity (v > 20,000 km/s) Si II and Ca II features. On the other hand, the light curve properties are preferentially grouped, strongly suggesting a connection between carbon-positivity and broad band light curve/color behavior: Three of the 5 have relatively narrow light curves but also blue colors, and a fourth may be a dust-reddened member of this family. Accounting for signal-to-noise and phase, we ...

  17. Year","Quarter","Destination State","Origin State","Consumer Type","Transportati

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content4,367,470 4,364,790AMOUNT(DOLLARS)","DESCRIPTION"OECD/IEA - 2008 © OECD/IEA - 2008Destination

  18. Year","Quarter","Origin State","Destination State","Consumer Type","Transportati

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content4,367,470 4,364,790AMOUNT(DOLLARS)","DESCRIPTION"OECD/IEA - 2008 © OECD/IEA - 2008DestinationOrigin

  19. Rice Quality Factors: Implications For Management Decisions.

    E-Print Network [OSTI]

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

    1986-01-01T23:59:59.000Z

    . These records accounted for 24, 26, and 27 percent, respectively, of Texas production during the years surveyed. The markets are located at Alvin, Danbury, Bay City, EI Campo, and Ganado. Data were available from two other markets but were not used because....27).4 3 The bid/acceptance market managers indicated this is the appropriate approach . 4 Tables B.1-B .38 are found in Appendix B. 4 HAltR1S Houston -------+--?-------+---~----~------~ ?/ Campo Danbury Ganado Bay City Figu!8 1. Location of the bid...

  20. Dissecting Soft Radiation with Factorization

    E-Print Network [OSTI]

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

    2015-02-10T23:59:59.000Z

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

  1. RESEARCH ARTICLE A novel soil organic C model using climate, soil type

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    RESEARCH ARTICLE A novel soil organic C model using climate, soil type and management data-Verlag, France 2012 Abstract This report evidences factors controlling soil or- ganic carbon at the national scale by modelling data of 2,158 soil samples from France. The global soil carbon amount, of about 1

  2. Dark Energy and Tachyon Field in Bianchi Type-V Space-time

    E-Print Network [OSTI]

    J. Sadeghi; H. Farahani

    2014-04-15T23:59:59.000Z

    In this paper, we consider Bianchi type-V space-time and study a cosmological model of dark energy based on Tachyon scalar field. We assumed three different kinds of matter without possibility of interaction with scalar dark energy. Assuming power law Hubble parameter in terms of scale factor we obtain evolution of scalar field, scalar potential and equation of state parameter.

  3. Iron acquisition and utilization by Rhodococcus equi: potential virulence factors

    E-Print Network [OSTI]

    Carnes, Misty Lee

    2002-01-01T23:59:59.000Z

    . . . . . . . . . . . . . . . . Growth of R. equi in minimal media (MM) and MM without iron 66 (MM-Fe) . . 67 12 13 Growth of R. equi in 100 ItM DIP + varying iron concentrations. . . . . . . . . 68 Effects of iron source (FeSO& or FeCls) onin vitro growth of R. equi. . . 69.... , virulence factors) against oxidative stress Three types of bacterial SODs have been described: those that contain either iron (Fe SOD), manganese (MnSOD), or copper-zinc (Cu-ZnSOD)(85). If the appropriate minerals are not available for production of SODs...

  4. n-Linear Algebra of type II

    E-Print Network [OSTI]

    W. B. Vasantha Kandasamy; Florentin Smarandache

    2009-02-01T23:59:59.000Z

    This book is a continuation of the book n-linear algebra of type I and its applications. Most of the properties that could not be derived or defined for n-linear algebra of type I is made possible in this new structure: n-linear algebra of type II which is introduced in this book. In case of n-linear algebra of type II we are in a position to define linear functionals which is one of the marked difference between the n-vector spaces of type I and II. However all the applications mentioned in n-linear algebras of type I can be appropriately extended to n-linear algebras of type II. Another use of n-linear algebra (n-vector spaces) of type II is that when this structure is used in coding theory we can have different types of codes built over different finite fields whereas this is not possible in the case of n-vector spaces of type I. Finally in the case of n-vector spaces of type II, we can obtain n-eigen values from distinct fields; hence, the n-characteristic polynomials formed in them are in distinct different fields. An attractive feature of this book is that the authors have suggested 120 problems for the reader to pursue in order to understand this new notion. This book has three chapters. In the first chapter the notion of n-vector spaces of type II are introduced. This chapter gives over 50 theorems. Chapter two introduces the notion of n-inner product vector spaces of type II, n-bilinear forms and n-linear functionals. The final chapter suggests over a hundred problems. It is important that the reader is well-versed not only with linear algebra but also n-linear algebra of type I.

  5. Industrial Equipment Demand and Duty Factors

    E-Print Network [OSTI]

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

    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...

  6. Guidelines for Power Factor Improvement Projects

    E-Print Network [OSTI]

    Massey, G. W.

    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...

  7. Cone Penetrometer N Factor Determination Testing Results

    SciTech Connect (OSTI)

    Follett, Jordan R.

    2014-03-05T23:59:59.000Z

    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.

  8. Establishing Standard Source Energy and Emission Factors for Energy Use in Buildings

    SciTech Connect (OSTI)

    Deru, M.

    2007-01-01T23:59:59.000Z

    This procedure provides source energy factors and emission factors to calculate the source (primary) energy and emissions from a building's annual site energy consumption. This report provides the energy and emission factors to calculate the source energy and emissions for electricity and fuels delivered to a facility and combustion of fuels at a facility. The factors for electricity are broken down by fuel type and presented for the continental United States, three grid interconnections, and each state. The electricity fuel and emission factors are adjusted for the electricity and the useful thermal output generated by combined heat and power (CHP) plants larger than one megawatt. The energy and emissions from extracting, processing, and transporting the fuels, also known as the precombustion effects, are included.

  9. Factors for Bioenergy Market Development

    SciTech Connect (OSTI)

    Roos, A.; Hektor, B.; Graham, R.L.; Rakos, C.

    1998-10-04T23:59:59.000Z

    Focusing on the development of the whole bioenergy market rather than isolated projects, this paper contributes to the identification of barriers and drivers behind bioenergy technology implementation. It presents a framework for the assessment of the potentials for bioenergy market growth to be used by decision makers in administration and industry. The conclusions are based on case studies of operating bioenergy markets in Austria, US and Sweden. Six important factors for bioenergy market growth have been identified: (1) Integration with other business, e.g. for biomass procurement, (2) Scale effects of bioenergy market, (3) Competition on bioenergy market, (4) Competition with other business, (5) National policy, (6) Local policy and local opinion. Different applications of the framework are discussed.

  10. Infrared Scales and Factorization in QCD

    E-Print Network [OSTI]

    Aneesh V. Manohar

    2005-12-14T23:59:59.000Z

    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.

  11. Prime Factorization in the Duality Computer

    E-Print Network [OSTI]

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

    2006-07-04T23:59:59.000Z

    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.

  12. Journal influence factors6 Massimo Franceschet

    E-Print Network [OSTI]

    Franceschet, Massimo

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

  13. STORAGE OPERATORS and -POSITIVE TYPES in TTR TYPE Karim NOUR 1

    E-Print Network [OSTI]

    Nour, Karim

    STORAGE OPERATORS and -POSITIVE TYPES in TTR TYPE SYSTEM Karim NOUR 1 LAMA - Equipe de Logique the notion of storage operator to simulate "call by value" in the "call by name" strategy. J.L. Krivine has for the storage operators in AF2 type system. This paper studies the -positive types (the universal second order

  14. THE SLACS SURVEY. VIII. THE RELATION BETWEEN ENVIRONMENT AND INTERNAL STRUCTURE OF EARLY-TYPE GALAXIES

    SciTech Connect (OSTI)

    Treu, Tommaso; Gavazzi, Raphael; Gorecki, Alexia; Marshall, Philip J. [Department of Physics, University of California, Santa Barbara, CA 93106 (United States); Koopmans, Leon V. E. [Kapteyn Institute, P.O. Box 800, 9700AV Groningen (Netherlands); Bolton, Adam S. [Institute for Astronomy, University of Hawai'i, 2680 Woodlawn Dr., Honolulu, HI 96822 (United States); Moustakas, Leonidas A. [Jet Propulsion Laboratory, 4800 Oak Grove Dr, Caltech, MS169-327, Pasadena, CA 91109 (United States); Burles, Scott [Department of Physics and Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139 (United States)], E-mail: tt@physics.ucsb.edu, E-mail: pjm@physics.ucsb.edu, E-mail: gavazzi@iap.fr, E-mail: koopmans@astro.rug.nl, E-mail: bolton@ifa.hawaii.edu, E-mail: leonidas@jpl.nasa.gov, E-mail: burles@mit.edu

    2009-01-01T23:59:59.000Z

    We study the relation between the internal structure of early-type galaxies and their environment using 70 strong gravitational lenses from the SLACS Survey. The Sloan Digital Sky Survey (SDSS) database is used to determine two measures of overdensity of galaxies around each lens-the projected number density of galaxies inside the tenth nearest neighbor ({sigma}{sub 10}) and within a cone of radius one h{sup -1} Mpc (D {sub 1}). Our main results are as follows. (1) The average overdensity is somewhat larger than unity, consistent with lenses preferring overdense environments as expected for massive early-type galaxies (12/70 lenses are in known groups/clusters). (2) The distribution of overdensities is indistinguishable from that of 'twin' nonlens galaxies selected from SDSS to have the same redshift and stellar velocity dispersion {sigma}{sub *}. Thus, within our errors, lens galaxies are an unbiased population, and the SLACS results can be generalized to the overall population of early-type galaxies. (3) Typical contributions from external mass distribution are no more than a few percent in local mass density, reaching 10-20% ({approx}0.05-0.10 external convergence) only in the most extreme overdensities. (4) No significant correlation between overdensity and slope of the mass-density profile of the lens galaxies is found. (5) Satellite galaxies (those with a more luminous companion) have marginally steeper mass-density profiles (as quantified by f {sub SIE} = {sigma}{sub *}/{sigma}{sub SIE} = 1.12 {+-} 0.05 versus 1.01 {+-} 0.01) and smaller dynamically normalized mass enclosed within the Einstein radius ({delta}log M {sub Ein}/M {sub dim} differs by -0.09 {+-} 0.03 dex) than central galaxies (those without). This result suggests that tidal stripping may affect the mass structure of early-type galaxies down to kpc scales probed by strong lensing, when they fall into larger structures.

  15. Low dose radiation interations with the transformation growth factor (TGF)-beta pathway 

    E-Print Network [OSTI]

    Maslowski, Amy Jesse

    2009-05-15T23:59:59.000Z

    A major limiting factor for long-term, deep-space missions is the radiation dose to astronauts. Because the dose to the astronauts is a mixed field of low- and high-LET radiation, there is a need to understand the effects of both radiation types...

  16. Feng and Figliozzi 1 Impacts of Economic, Technological and Operational Factors on the

    E-Print Network [OSTI]

    Bertini, Robert L.

    of a complete economic and logistics evaluation of the competitiveness of the new vehicle type. In additionFeng and Figliozzi 1 Impacts of Economic, Technological and Operational Factors on the Economic a purely economic perspective, there is a cost tradeoff between the low operating and maintenance costs

  17. Factorization of Darboux transformations of arbitrary order for 2D Schroedinger operators

    E-Print Network [OSTI]

    Ekaterina Shemyakova

    2015-05-04T23:59:59.000Z

    We give a proof of Darboux's conjecture that every Darboux transformation of arbitrary order of a 2D Schroedinger type operator can be factorized into Darboux transformations of order one. The proof is constructive. The result is obtained in the framework of an algebraic approach to Darboux transformations which is suggested in this paper and is a further improvement of S. Tsarev's earlier idea.

  18. Functional Characterization of an Epidermal Growth Factor Receptor/RET Chimera*

    E-Print Network [OSTI]

    Pike, Linda J.

    Functional Characterization of an Epidermal Growth Factor Receptor/RET Chimera* (Received binding sites for 125 I-EGF, the EGFR/RET chimera exhibited only low affinity binding of 125 I-EGF. The chimera was able to internalize EGF more rapidly than the wild type EGF receptor and recycled to the cell

  19. 1654 Learning and memory Perceptual and motor factors of implicit skill learning

    E-Print Network [OSTI]

    Nemeth, Dezso

    , auditory, etc.), and into consciousness types (implicit and explicit) [2]. Implicit motor skill learning1654 Learning and memory Perceptual and motor factors of implicit skill learning Dezso Nemetha,b , Emese Hallgato´a , Karolina Janacseka , Timea Sa´ndora and Zsuzsa Londec Implicit skill learning

  20. personality factors related to individual eat-ing patterns and will improve our knowledge

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of the relationships between factors asso- ciated with EB and food intake. Influence of consumption of beer with- out, sometimes hindering anti-drug tests. The influence of the consumption of beer without alcohol of the match according to the type of drink, either 750 mL of beer without alcohol (BWA) or the same volume

  1. Curvature invariants in type-III spacetimes

    E-Print Network [OSTI]

    V. Pravda

    1999-08-17T23:59:59.000Z

    The results of paper [1] are generalized for vacuum type-III solutions with, in general, a non-vanishing cosmological constant Lambda. It is shown that all curvature invariants containing derivatives of the Weyl tensor vanish if a type-III spacetime admits a non-expanding and non-twisting null geodesic congruence. A non-vanishing curvature invariant containing first derivatives of the Weyl tensor is found in the case of type-III spacetime with expansion or twist.

  2. Turbulent Combustion in Type Ia Supernova Models

    E-Print Network [OSTI]

    F. K. Roepke; W. Hillebrandt

    2006-09-15T23:59:59.000Z

    We review the astrophysical modeling of type Ia supernova explosions and describe numerical methods to implement numerical simulations of these events. Some results of such simulations are discussed.

  3. Convolution type operators on locally compact groups

    E-Print Network [OSTI]

    Shtein--~erg, Convolution Type Operators on Locally Compact Groups [in Russian],. Manuscript Deposited in the All-Union Institute of Scientific and Technical ...

  4. Type B Accident Investigation, Subcontractor Employee Personal...

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

    February 18, 2003, at the East Tennessee Technology Park, Oak Ridge, Tennessee Type B Accident Investigation, Subcontractor Employee Personal Protective Equipment Ignition Incident...

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

    E-Print Network [OSTI]

    Gaucher, Beverly Jane

    2013-04-04T23:59:59.000Z

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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...

  6. High Precision Measurement of the Proton Elastic Form Factor Ratio at Low Q2

    SciTech Connect (OSTI)

    Xiaohui Zhan

    2010-01-31T23:59:59.000Z

    Experiment E08-007 measured the proton elastic form factor ratio ?pGE/GM in the range of Q2 = 0.3?0.7(GeV/c)2 by recoil polarimetry. Data were taken in 2008 at the Thomas Jefferson National Accelerator Facility in Virginia, USA. A 1.2 GeV polarized electron beam was scattered off a cryogenic hydrogen target. The recoil proton was detected in the left HRS in coincidence with the elasticly scattered electrons tagged by the BigBite spectrometer. The proton polarization was measured by the focal plane polarimeter (FPP). In this low Q2 region, previous measurement from Jefferson Lab Hall A (LEDEX) along with various fits and calculations indicate substantial deviations of the ratio from unity. For this new measurement, the proposed statistical uncertainty (< 1%) was achieved. These new results are a few percent lower than expected from previous world data and fits, which indicate a smaller GEp at this region. Beyond the intrinsic interest in nucleon structure, the new results also have implications in determining the proton Zemach radius and the strangeness form factors from parity violation experiments.

  7. Technicolor corrections on $B_{s,d} \\to ??$ decays in QCD factorization

    E-Print Network [OSTI]

    Zhenjun Xiao; Cai-Dian Lü; Wujun Huo

    2003-05-11T23:59:59.000Z

    Within the framework of the Top-color-assisted Technicolor (TC2) model, we calculate the new physics contributions to the branching ratios $\\calb(B_{s,d} \\to \\gamma \\gamma)$ and CP violating asymmetries $\\rcpm(B_{s,d} \\to \\gamma \\gamma)$ in the QCD factorization based on the heavy-quark limit $m_b \\gg \\Lambda_{QCD}$. Using the considered parameter space, we find that (a) for both $B_s\\to \\gamma \\gamma$ and $B_d \\to \\gamma \\gamma$ decays, the new physics contribution can provide a factor of two to six enhancement to their branching ratios, (b) for the $B_s \\to \\gamma \\gamma$ decay, its direct CP violation is very small in both the SM and TC2 model, and (c) the CP violating asymmetry $\\rcpm(B_d \\to \\gamma \\gamma)$ is around the ten percent level in both the SM and TC2 model, but the sign of CP asymmetry in the TC2 model is different from that in the SM.

  8. Advanced Benchmarking for Complex Building Types: Laboratories as an Exemplar

    SciTech Connect (OSTI)

    Mathew, Paul A.; Clear, Robert; Kircher, Kevin; Webster, Tom; Lee, Kwang Ho; Hoyt, Tyler

    2010-08-01T23:59:59.000Z

    Complex buildings such as laboratories, data centers and cleanrooms present particular challenges for energy benchmarking because it is difficult to normalize special requirements such as health and safety in laboratories and reliability (i.e., system redundancy to maintain uptime) in data centers which significantly impact energy use. For example, air change requirements vary widely based on the type of work being performed in each laboratory space. We present methods and tools for energy benchmarking in laboratories, as an exemplar of a complex building type. First, we address whole building energy metrics and normalization parameters. We present empirical methods based on simple data filtering as well as multivariate regression analysis on the Labs21 database. The regression analysis showed lab type, lab-area ratio and occupancy hours to be significant variables. Yet the dataset did not allow analysis of factors such as plug loads and air change rates, both of which are critical to lab energy use. The simulation-based method uses an EnergyPlus model to generate a benchmark energy intensity normalized for a wider range of parameters. We suggest that both these methods have complementary strengths and limitations. Second, we present"action-oriented" benchmarking, which extends whole-building benchmarking by utilizing system-level features and metrics such as airflow W/cfm to quickly identify a list of potential efficiency actions which can then be used as the basis for a more detailed audit. While action-oriented benchmarking is not an"audit in a box" and is not intended to provide the same degree of accuracy afforded by an energy audit, we demonstrate how it can be used to focus and prioritize audit activity and track performance at the system level. We conclude with key principles that are more broadly applicable to other complex building types.

  9. Archived Reference Building Type: Primary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  10. Archived Reference Building Type: Primary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  11. Repairing Type Errors in Functional Programs 

    E-Print Network [OSTI]

    McAdam, Bruce J

    Type systems for programming languages can be used by compilers to reject programs which are found to be unsound and which may, therefore, fail to execute successfully. When a program is rejected the programmer must repair it so that it can be type...

  12. Multiparty Asynchronous Session Types Kohei Honda

    E-Print Network [OSTI]

    Gay, Simon

    Multiparty Asynchronous Session Types Kohei Honda Queen Mary, University of London kohei 2005; Honda et al. 1998; Bonelli and Compagnoni 2008), higher- order processes (Mostrous and Yoshida. 2006, 2007; WS-CDL; Sparkes 2006; Honda et al. 2007a). A basic observation underlying session types

  13. Testing Type Class Laws Johan Jeuring

    E-Print Network [OSTI]

    Utrecht, Universiteit

    ]. Instances of Monad should satisfy the following laws: return a>>=k k a m >>=return m m >>=(x k x>>=h) (m>>=k)>>=hTesting Type Class Laws Johan Jeuring Patrik Jansson Cl´audio Amaral Technical Report UU-CS-2012.089 3508 TB Utrecht The Netherlands #12;Testing Type Class Laws Johan Jeuring Utrecht University and Open

  14. Archived Reference Building Type: Outpatient health care

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  15. Archived Reference Building Type: Outpatient health care

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  16. Archived Reference Building Type: Strip mall

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  17. Archived Reference Building Type: Strip mall

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  18. WASTE DESCRIPTION TYPE OF PROJECT POUNDS REDUCED,

    E-Print Network [OSTI]

    Minimization/ Volume Reduction 0 Solid Radioactive Waste $2,168 $0 $2,168 Vial Crusher for glass vialsWASTE DESCRIPTION TYPE OF PROJECT POUNDS REDUCED, REUSED, RECYCLED OR CONSERVED IN 2004 WASTE TYPE DESCRIPTION DETAILS * Automotive Waste Substitution 510 Hazardous Waste $1,020 $1,000 $1,000 Aqueous Solvent

  19. WASTE DESCRIPTION TYPE OF PROJECT POUNDS REDUCED,

    E-Print Network [OSTI]

    labeled chemicals Waste Minimization/ Volume Reduction 0 Solid Radioactive Waste $2,168 $3,795 $2,168 VialWASTE DESCRIPTION TYPE OF PROJECT POUNDS REDUCED, REUSED, RECYCLED OR CONSERVED IN 2003 WASTE TYPE DESCRIPTION DETAILS * Radioactive Waste Source Reduction 1,500 Radioactive Waste $6,000 $2,500 $6,000 Waste

  20. Archived Reference Building Type: Medium office

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  1. Archived Reference Building Type: Medium office

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  2. Archived Reference Building Type: Secondary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  3. Project Name Project Number Tagging Type

    E-Print Network [OSTI]

    Project Name Project Number Primary Tagging Type Secondary Tagging Type Fish Species Tagging/ Secondary Legal Driver (BiOp, MOA, Accord, etc.) Tagging Purpose Funded Entity Tagging Location Retrieval CWT Recovery Project 2010-036-00 CWT PIT Chinook, coho retrieval, analysis, address PSMFC sampling

  4. Archived Reference Building Type: Secondary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  5. Serum markers for type II diabetes mellitus

    DOE Patents [OSTI]

    Metz, Thomas O; Qian, Wei-Jun; Jacobs, Jon M; Polpitiya, Ashoka D; Camp, II, David G; Smith, Richard D

    2014-03-18T23:59:59.000Z

    A method for identifying persons with increased risk of developing type 2 diabetes mellitus utilizing selected biomarkers described hereafter either alone or in combination. The present invention allows for broad based, reliable, screening of large population bases and provides other advantages, including the formulation of effective strategies for characterizing, archiving, and contrasting data from multiple sample types under varying conditions.

  6. Names and Binding in Type Theory 

    E-Print Network [OSTI]

    Schöpp, Ulrich

    Names and name-binding are useful concepts in the theory and practice of formal systems. In this thesis we study them in the context of dependent type theory. We propose a novel dependent type theory with primitives for the explicit handling...

  7. ROOM AIR CONDITIONER WALL MOUNTED type

    E-Print Network [OSTI]

    Kleinfeld, David

    SPLIT TYPE ROOM AIR CONDITIONER WALL MOUNTED type Reciprocating Compressor Models Indoor unit.6 - 11.4 ----- MOISTURE REMOVAL ( / hr) 2.0 1.8 2.7 2.7 4.3 3 AIR CIRCULATION - Hi (m / hr) 800 800 1

  8. Interannual Variations of Arctic Cloud Types

    E-Print Network [OSTI]

    Hochberg, Michael

    Sciences #12;Changes in Arctic Climate What is the role of cloud cover in Arctic climate change? What is the Cloud Radiative Effect (CRE) in the Arctic? #12;CRE depends on season, cloud type CRE ­ whether clouds specifically chosen to include nighttime obs Total cloud cover and nine cloud types: - High cloud (cirriform

  9. 3, 46714700, 2003 Different type of

    E-Print Network [OSTI]

    Boyer, Edmond

    of the effect of different type of aerosols on UV-B radiation from measurements during EARLINET D. S. Balis1 , V properties and changes in cloud cover (Zerefos et al., 2001; WMO25 2003). Due to the combined involvementACPD 3, 4671­4700, 2003 Different type of aerosols and UV-B radiation D. S. Balis et al. Title Page

  10. Significant Type I and Type III Collagen Production from Human Periodontal Ligament Fibroblasts in 3D Peptide Scaffolds without Extra Growth Factors

    E-Print Network [OSTI]

    Kumada, Yoshiyuki

    We here report the development of two peptide scaffolds designed for periodontal ligament fibroblasts. The scaffolds consist of one of the pure self-assembling peptide scaffolds RADA16 through direct coupling to short ...

  11. Synthetic heparin-binding growth factor analogs

    DOE Patents [OSTI]

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

    2007-01-23T23:59:59.000Z

    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.

  12. Compact light source performance in recessed type luminaires

    SciTech Connect (OSTI)

    Hammer, E.E.

    1998-11-01T23:59:59.000Z

    Photometric comparisons were made with an indoor, recessed, type luminaire using incandescent, high intensity discharge and compact fluorescent lamps. The test results show substantial performance advantages, as expected, for the discharge light sources where the efficacy gains can be in the order for 400% even when including the ballast losses associated with the discharge lamps. The candlepower distribution patterns emerging from these luminaries are also different from those associated with the baseline incandescent lamps, and which are in some ways, even more desirable from a uniformity of illuminance perspective. A section on fluorescent lamp starting is also included which describes a system having excellent starting characteristics in terms of electrode starting temperature (RH/RC technique), proper operating frequency to minimize unwanted IR interactions, and satisfactory current crest factor values to help insure life performance.

  13. Asteroseismology of solar-type stars with K2

    E-Print Network [OSTI]

    Chaplin, W J; Handberg, R; Basu, S; Buchhave, L A; Campante, T L; Davies, G R; Huber, D; Latham, D W; Latham, C A; Serenelli, A; Antia, H M; Appourchaux, T; Ball, W H; Benomar, O; Casagrande, L; Christensen-Dalsgaard, J; Coelho, H R; Creevey, O L; Elsworth, Y; Garc, R A; Gaulme, P; Hekker, S; Kallinger, T; Karoff, C; Kawaler, S D; Kjeldsen, H; Lundkvist, M S; Marcadon, F; Mathur, S; Miglio, A; Mosser, B; R, C; Roxburgh, I W; Aguirre, V Silva; Stello, D; Verma, K; White, T R; Bedding, T R; Barclay, T; Buzasi, D L; Deheuvels, S; Gizon, L; Houdek, G; Howell, S B; Salabert, D; Soderblom, D R

    2015-01-01T23:59:59.000Z

    We present the first detections by the NASA K2 Mission of oscillations in solar-type stars, using short-cadence data collected during K2 Campaign\\,1 (C1). We understand the asteroseismic detection thresholds for C1-like levels of photometric performance, and we can detect oscillations in subgiants having dominant oscillation frequencies around $1000\\,\\rm \\mu Hz$. Changes to the operation of the fine-guidance sensors are expected to give significant improvements in the high-frequency performance from C3 onwards. A reduction in the excess high-frequency noise by a factor of two-and-a-half in amplitude would bring main-sequence stars with dominant oscillation frequencies as high as ${\\simeq 2500}\\,\\rm \\mu Hz$ into play as potential asteroseismic targets for K2.

  14. Pipe-type cable ampacities in the presence of harmonics

    SciTech Connect (OSTI)

    Palmer, J.A.; Degeneff, R.C. (Rensselaer Polytechnic Inst., Troy, NY (United States)); McKernan, T.M.; Halleran, T.M. (Consolidated Edison Co. of NY, Inc., New York, NY (United States))

    1993-10-01T23:59:59.000Z

    This paper explores the effect of harmonics on HPFF pipe-type transmission cable ampacity. Industry currently calculates the current carrying capacity of underground cable based on the assumption of a purely sinusoidal 60k Hz. current. However, increasing levels of harmonics on power systems have raised concern about their effect on cable ampacities. The issue has already been addressed for distribution cables. This paper begins with a discussion of Neher and McGrath's classic equations and some recent revisions, and develops a closed form composite equations accurately reflecting the effect of harmonics. The effect of frequency on the loss ratio is shown and supported by comparison with measured data at 60 Hz. and a finite element analysis at a number of harmonic frequencies. The effect of specific harmonic scenarios is shown in light of the IEEE standard on harmonics. The results are used to develop a derating factor to compensate for current harmonics on transmission systems.

  15. Human factors methods in DOE nuclear facilities

    SciTech Connect (OSTI)

    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

    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.

  16. Factorization for hadronic heavy quarkonium production

    E-Print Network [OSTI]

    Jian-Wei Qiu

    2006-10-31T23:59:59.000Z

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

  17. Vitiligo: A good prognostic factor in melanoma?

    E-Print Network [OSTI]

    Cunha, Daniela; Pacheco, Fernando Assis; Cardoso, Jorge

    2009-01-01T23:59:59.000Z

    with intermediate to thick melanomas (>1 mm) with the use ofgood prognostic factor in melanoma? Daniela Cunha, Fernandoimmunologic therapy for melanoma is generally regarded as a

  18. Optimization Online - Building a completely positive factorization

    E-Print Network [OSTI]

    Immanuel Bomze

    2009-08-21T23:59:59.000Z

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

  19. Fully Reflexive Intensional Type Analysis in Type Erasure Semantics # Bratin Saha Valery Trifonov Zhong Shao

    E-Print Network [OSTI]

    Trifonov, Valery

    Fully Reflexive Intensional Type Analysis in Type Erasure Semantics # Bratin Saha Valery Trifonov Zhong Shao Department of Computer Science Yale University {saha,trifonov,shao}@cs.yale.edu Abstract

  20. Improving Type Ia Supernova Standard Candle Cosmology Measurements Using Observations of Early-Type Host Galaxies

    E-Print Network [OSTI]

    Meyers, Joshua Evan

    2012-01-01T23:59:59.000Z

    Host Galaxies of Type Ia Supernovae Introduction SN Ia Hosts109 C HAPTER 1 Cosmology, Type Ia Supernovae and HostGalaxies Observations of supernovae have played a role in

  1. Theoretical cosmic Type Ia supernova rates

    E-Print Network [OSTI]

    R. Valiante; F. Matteucci; S. Recchi; F. Calura

    2009-03-16T23:59:59.000Z

    The aim of this work is the computation of the cosmic Type Ia supernova rates at very high redshifts (z>2). We adopt various progenitor models in order to predict the number of explosions in different scenarios for galaxy formation and to check whether it is possible to select the best delay time distribution model, on the basis of the available observations of Type Ia supernovae. We also computed the Type Ia supernova rate in typical elliptical galaxies of different initial luminous masses and the total amount of iron produced by Type Ia supernovae in each case. It emerges that: it is not easy to select the best delay time distribution scenario from the observational data and this is because the cosmic star formation rate dominates over the distribution function of the delay times; the monolithic collapse scenario predicts an increasing trend of the SN Ia rate at high redshifts whereas the predicted rate in the hierarchical scheme drops dramatically at high redshift; for the elliptical galaxies we note that the predicted maximum of the Type Ia supernova rate depends on the initial galactic mass. The maximum occurs earlier (at about 0.3 Gyr) in the most massive ellipticals, as a consequence of downsizing in star formation. We find that different delay time distributions predict different relations between the Type Ia supernova rate per unit mass at the present time and the color of the parent galaxies and that bluer ellipticals present higher supernova Type Ia rates at the present time.

  2. August and September Approximately 29 percent from husks

    E-Print Network [OSTI]

    minutes. Cool promptly in several changes of cold water and drain. Whole-kernel corn: Cut kernels from. Scrape the cobs with the back of the knife to remove the juice and the hearts of the kernels. Pack corn for approximately the same length of time the corn was blanched) and drain well. Tightly ',vrap ears individually

  3. BOSS Measures the Universe to One-Percent Accuracy

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

    part of the mix. By 380,000 years after the big bang, however, the temperature of the expanding mixture had cooled enough for light to escape, suffusing the newly transparent...

  4. Moab Reaches 40-Percent Mark in Tailings Removal

    Broader source: Energy.gov [DOE]

    MOAB, Utah – The Moab Uranium Mill Tailings Remedial Action Project had a productive year, despite continued budget constraints and a first-ever, three-month curtailment of shipping operations last winter.

  5. pproximately 80 percent of the rise in carbon dioxide

    E-Print Network [OSTI]

    curtailing coal usage in the near term, since large- scale deployment of truly "clean" coal plants with near

  6. Iowa Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building FloorspaceThousandWithdrawals0.0Decade Year-0 Year-1 Year-2 Year-3

  7. Iowa Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building FloorspaceThousandWithdrawals0.0Decade Year-0 Year-1 Year-2 Year-3Year

  8. Kansas Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building FloorspaceThousandWithdrawals0.0Decade Year-0Base7 3Increases20096 5

  9. Kansas Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building FloorspaceThousandWithdrawals0.0Decade Year-0Base7 3Increases20096

  10. Kentucky Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) Kenai, AKExtensionsNov-14 Dec-14 Jan-154

  11. Kentucky Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) Kenai, AKExtensionsNov-14 Dec-14

  12. Louisiana Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 0 0 0 1569 0 0 0Sales (Billion99

  13. Louisiana Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 0 0 0 1569 0 0 0Sales (Billion99Year Jan

  14. Maine Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 0 07,755,432 7,466,375:Decade Year-0

  15. Maine Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 0 07,755,432 7,466,375:Decade Year-0Year

  16. Maryland Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 00.0 0.0 0.0 0.0 0.0 0.0Nov-14

  17. Maryland Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 00.0 0.0 0.0 0.0 0.0 0.0Nov-14Year Jan

  18. Massachusetts Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 00.0 0.04,000 64,000Feet)Decade

  19. Massachusetts Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 00.0 0.04,000 64,000Feet)DecadeYear

  20. Michigan Natural Gas % of Total Residential - Sales (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million Cubic Feet) 3 00.0Feet)YearFeet)2009 20104