Sample records for weighted average percent

  1. "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...

  2. STATE OF CALIFORNIA AREA WEIGHTED AVERAGE CALCULATION WORKSHEET: RESIDENTIAL

    E-Print Network [OSTI]

    of a building feature, material, or construction assembly occur in a building, a weighted average there is more than one level of floor, wall, or ceiling insulation in a building, or more than one type

  3. Optimal Control with Weighted Average Costs and Temporal Logic Specifications

    E-Print Network [OSTI]

    Murray, Richard M.

    Optimal Control with Weighted Average Costs and Temporal Logic Specifications Eric M. Wolff Control and Dynamical Systems California Institute of Technology Pasadena, California 91125 Email: ewolff@caltech.edu Ufuk Topcu Control and Dynamical Systems California Institute of Technology Pasadena, California 91125

  4. Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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 Gravity Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions,

  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. POLYMER END-GROUP ANALYSIS: THE DETERMINATION OF AVERAGE MOLECULAR WEIGHT

    E-Print Network [OSTI]

    Weston, Ken

    POLYMER END-GROUP ANALYSIS: THE DETERMINATION OF AVERAGE MOLECULAR WEIGHT Background reading. 11. Skoog, West, Holler and Crouch, 7th ed., Chap. 14. Introduction Polymers Polymers are a special in this experiment, or may be of different types. Polymers are very important in biological systems. For example

  7. Implementation Shortfall One Objective, Many Algorithms VWAP (Volume Weighted Average Price) has ruled the algorithmic trading world

    E-Print Network [OSTI]

    Kearns, Michael

    in the fact that it does not require such cost predictions. VWAP vs. Arrival Price So how does arrival priceImplementation Shortfall ­ One Objective, Many Algorithms VWAP (Volume Weighted Average Price) has year toward using decision price, or implementation shortfall, algorithms. ITG®'s Hitesh Mittal

  8. "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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,1 U.S. Department of Energygasoline4 Space2.9 Home72 Home8 Water00Annual

  9. 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...

  10. average state iq: Topics by E-print Network

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

    6 STATE OF CALIFORNIA AREA WEIGHTED AVERAGE CALCULATION WORKSHEET: RESIDENTIAL Energy Storage, Conversion and Utilization Websites Summary: STATE OF CALIFORNIA AREA...

  11. 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

  12. Distributed Average Consensus with Time-Varying Metropolis Weights

    E-Print Network [OSTI]

    computing; Metropolis algorithm. 1 Introduction We consider a set of interconnected processes (nodes falls into a broader class of distributed con- sensus or agreement problems in multi-agent coordina,17,24,10,15,18]. In gen- eral consensus or agreement problems, the asymptotic values of xi(t) must be the same for all i

  13. Green Weight

    E-Print Network [OSTI]

    Al-Haji, A.; Al-Omair, A.

    2010-01-01T23:59:59.000Z

    Green-weight is a novel system designed to supply a high-rise building with all its needs of electricity using wind energy and to supplement its lighting needs with natural sunlight. David Fisher has proposed an ingenious method to harness the wind...

  14. 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...

  15. 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

  16. 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

  17. Molecular weight and molecular weight distribution of kraft lignins

    SciTech Connect (OSTI)

    Schmidl, W.; Dong, D.; Fricke, A.L. (Univ. of Florida, Gainesville, FL (United States))

    1990-01-01T23:59:59.000Z

    Kraft lignins are the lignin degradation products from kraft pulping. They are complex, heterogeneous polymers with some polar character. The molecular weight of kraft lignins greatly affect the physical properties of black liquors, and are of primary importance in separation from black liquor and in evaluating potential uses. Several purified kraft lignins from slash pine were analyzed for number average molecular weight by vapor pressure osmometry (VPO), for weight average molecular weight by low angle laser light scattering (LALLS), and for the molecular weight distribution by high temperature size exclusion chromatography (SEC). The lignins were run in tetrahydrofuran (THF), N,N-dimethyl formamide (DMF), DMF with 0.1M LiBr, and pyridine at conditions above the Theta temperature. Experimental methods are discussed. The results show that VPO may be used to determine M[sub n] for kraft lignins if the purity of the lignins and the identity of the impurities are known. LALLS can be used to determine M[sub w] for kraft lignins if measurements are made at or above the Theta temperature of the lignin-solvent pair. SEC should be used at temperatures at, or above, the Theta temperature of the lignin-solvent pair. Size separation is highly dependent on the solvent used, and DMF is a much better solvent than THF for high temperature SEC. Future work using moment resolution procedures to derive an accurate calibration curve are also discussed.

  18. Chapter 11Chapter 11 Estimating the Weighted

    E-Print Network [OSTI]

    Schubart, Christoph

    Chapter 11Chapter 11 Estimating the Weighted Average Cost of Capital DES Chapter 11 1 #12;U i th C.xls for shortfor short. DES Chapter 11 2 #12;S i l i hSteps to estimate value using the Corporate Valuation stockholders DES Chapter 11 7 #12;Estimating Target Weights Page 223: To calculate WACC, we need to estimate

  19. Averaging Hypotheses in Newtonian Cosmology

    E-Print Network [OSTI]

    T. Buchert

    1995-12-20T23:59:59.000Z

    Average properties of general inhomogeneous cosmological models are discussed in the Newtonian framework. It is shown under which circumstances the average flow reduces to a member of the standard Friedmann--Lema\\^\\i tre cosmologies. Possible choices of global boundary conditions of inhomogeneous cosmologies as well as consequences for the interpretation of cosmological parameters are put into perspective.

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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)

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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)

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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)

  15. Mining Weighted Association Rules without Preassigned Weights

    E-Print Network [OSTI]

    Bai, Fengshan

    Mining Weighted Association Rules without Preassigned Weights Ke Sun and Fengshan Bai Abstract--Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does not work on databases with only binary attributes

  16. from kidbar until weaning. Kids of both groups B and C were abruptly weaned at 6 weeks of age. The live weight of kids at 10 weeks of age was 12.1, 13.1 and 12.1 kg on an average

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    weaned like those of Group A. Skim milk was acidified by adding 0.15 p. 100 acetic acid. Live weight of feeding acidified skim milk from 5 to 10 weeks of age (group 11) was compared to weaning with fermented rate. Key words : Teat feeding, kid, wenning, milk replacer, fermented ntilk. The use of starch

  17. Average transverse momentum quantities approaching the lightfront

    E-Print Network [OSTI]

    Daniel Boer

    2014-09-29T23:59:59.000Z

    In this contribution to Light Cone 2014, three average transverse momentum quantities are discussed: the Sivers shift, the dijet imbalance, and the $p_T$ broadening. The definitions of these quantities involve integrals over all transverse momenta that are overly sensitive to the region of large transverse momenta, which conveys little information about the transverse momentum distributions of quarks and gluons inside hadrons. TMD factorization naturally suggests alternative definitions of such integrated quantities, using Bessel-weighting and rapidity cut-offs, with the conventional definitions as limiting cases. The regularized quantities are given in terms of integrals over the TMDs of interest that are well-defined and moreover have the advantage of being amenable to lattice evaluations.

  18. Evaluations of average level spacings

    SciTech Connect (OSTI)

    Liou, H.I.

    1980-01-01T23:59:59.000Z

    The average level spacing for highly excited nuclei is a key parameter in cross section formulas based on statistical nuclear models, and also plays an important role in determining many physics quantities. Various methods to evaluate average level spacings are reviewed. Because of the finite experimental resolution, to detect a complete sequence of levels without mixing other parities is extremely difficult, if not totally impossible. Most methods derive the average level spacings by applying a fit, with different degrees of generality, to the truncated Porter-Thomas distribution for reduced neutron widths. A method that tests both distributions of level widths and positions is discussed extensivey with an example of /sup 168/Er data. 19 figures, 2 tables.

  19. 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

  20. The Frame Potential, on Average

    E-Print Network [OSTI]

    Ingemar Bengtsson; Helena Granstrom

    2008-10-24T23:59:59.000Z

    A SIC consists of N^2 equiangular unit vectors in an N dimensional Hilbert space. The frame potential is a function of N^2 unit vectors. It has a unique global minimum if the vectors form a SIC, and this property has been made use of in numerical searches for SICs. When the vectors form an orbit of the Heisenberg group the frame potential becomes a function of a single fiducial vector. We analytically compute the average of this function over Hilbert space. We also compute averages when the fiducial vector is placed in certain special subspaces defined by the Clifford group.

  1. 4, 22832300, 2004 Hemispheric average

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    ACPD 4, 22832300, 2004 Hemispheric average Cl atom concentration U. Platt et al. Title Page U. Platt1 , W. Allen2 , and D. Lowe2 1 Institut fur Umweltphysik, University of Heidelberg, INF 229 February 2004 Accepted: 9 March 2004 Published: 4 May 2004 Correspondence to: U. Platt (ulrich.platt

  2. Multispecies weighted Hurwitz numbers

    E-Print Network [OSTI]

    Harnad, J

    2015-01-01T23:59:59.000Z

    The construction of hypergeometric 2D Toda $\\tau$-functions as generating functions for weighted Hurwitz numbers is extended to multispecies families. Both the enumerative geometrical significance of multispecies weighted Hurwitz numbers as weighted enumerations of branched coverings of the Riemann sphere and their combinatorial significance in terms of weighted paths in the Cayley graph of $S_n$ are derived. The particular case of multispecies quantum weighted Hurwitz numbers is studied in detail.

  3. Seasonal Average Temperature - Hanford Site

    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 Office of ScienceandMesa del Sol HomeFacebook TwitterSearch-Comments Sign In About | CareersAverage Temperature

  4. 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 ??Near-Zero Emission at 50 Percent Thermal Efficiency,? and was completed in 2007. The second phase was initiated in 2006, and this phase was named ??Advancements in Engine Combustion Systems to Enable High-Efficiency Clean Combustion for Heavy-Duty Engines.? This phase was completed in September, 2010. The key objectives of the NZ-50 program for this first phase were to: ? Quantify thermal efficiency degradation associated with reduction of engine-out NOx emissions to the 2007 regulated level of ~1.1 g/hp-hr. ? 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. ? Test prototype subsystem hardware featuring technology enhancements and demonstrate effective application on a multi-cylinder, production feasible heavy-duty engine test-bed. ? 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. ? 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: ? 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. ? Experimentally demonstrate brake efficiency of 48.5% at EPA 2010 emission level at single steady-state point. ? 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. ? 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: ? 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. ? The combustion system development continued with evaluation of various designs of the 2-step piston bowl. Significant improvemen

  5. Nutrition, Weight Control and Fast Food.

    E-Print Network [OSTI]

    Sweeten, Mary K.

    1980-01-01T23:59:59.000Z

    Page in Original Bulletin] Nutrition, Weight Control and Fast Food Mary K. Sweeten* The Fast Food Trend More people are eating fewer meals at home and more snack-type meals at fast food ' restaurants. Fast food sales in 1978 in the United States... chain when eating out 60 percent of the time. This trend is a result of more women employed outside the home, a higher per capita disposable income and more leisure time. Although they may cost more than the same meals prepared at home, fast food res...

  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. 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. ,"Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-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: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice Sold to Electric Power

  9. 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...

  10. 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

  11. 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...

  12. 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...

  13. Optimization Online - Dual Averaging Methods for Regularized ...

    E-Print Network [OSTI]

    Lin Xiao

    2010-04-15T23:59:59.000Z

    Apr 15, 2010 ... ... simple minimization problem that involves the running average of all past subgradients of the loss function and the whole regularization term,...

  14. Light weight phosphate cements

    DOE Patents [OSTI]

    Wagh, Arun S. (Naperville, IL); Natarajan, Ramkumar, (Woodridge, IL); Kahn, David (Miami, FL)

    2010-03-09T23:59:59.000Z

    A sealant having a specific gravity in the range of from about 0.7 to about 1.6 for heavy oil and/or coal bed methane fields is disclosed. The sealant has a binder including an oxide or hydroxide of Al or of Fe and a phosphoric acid solution. The binder may have MgO or an oxide of Fe and/or an acid phosphate. The binder is present from about 20 to about 50% by weight of the sealant with a lightweight additive present in the range of from about 1 to about 10% by weight of said sealant, a filler, and water sufficient to provide chemically bound water present in the range of from about 9 to about 36% by weight of the sealant when set. A porous ceramic is also disclosed.

  15. Weighted control systems

    E-Print Network [OSTI]

    Al-Radhi, Adhi Omar

    1974-01-01T23:59:59.000Z

    ) 50 3-10 Defects per Unit Control Charts (Sudden Increase in Number of Defects) 51 3-11 Defects per Unit Control Charts (Slow Increase in Number of Defects) 52 3-12 O. C. Curves of Fraction Defectives Control Charts. 54 3-13 O. C. Curves.... The exponential smoothing principle was introduced to quality control field in 1959. It was first adapted in the mean control chart [25]. Through this control system, the most recent information is weighted and combined with the weighted past observations. 10...

  16. Averages in vector spaces over finite fields

    E-Print Network [OSTI]

    Wright J.; Carbery A.; Stones B.

    2008-01-01T23:59:59.000Z

    We study the analogues of the problems of averages and maximal averages over a surface in R-n when the euclidean structure is replaced by that of a vector space over a finite field, and obtain optimal results in a number ...

  17. MESOSCALE AVERAGING OF NUCLEATION AND GROWTH MODELS

    E-Print Network [OSTI]

    Burger, Martin

    MESOSCALE AVERAGING OF NUCLEATION AND GROWTH MODELS MARTIN BURGER , VINCENZO CAPASSO , AND LIVIO-Kolmogorov relations for the degree of crystallinity. By relating the computation of expected values to mesoscale averaging, we obtain a suitable description of the process at the mesoscale. We show how the variance

  18. Ensemble bayesian model averaging using markov chain Monte Carlo sampling

    SciTech Connect (OSTI)

    Vrugt, Jasper A [Los Alamos National Laboratory; Diks, Cees G H [NON LANL; Clark, Martyn P [NON LANL

    2008-01-01T23:59:59.000Z

    Bayesian model averaging (BMA) has recently been proposed as a statistical method to calibrate forecast ensembles from numerical weather models. Successful implementation of BMA however, requires accurate estimates of the weights and variances of the individual competing models in the ensemble. In their seminal paper (Raftery etal. Mon Weather Rev 133: 1155-1174, 2(05)) has recommended the Expectation-Maximization (EM) algorithm for BMA model training, even though global convergence of this algorithm cannot be guaranteed. In this paper, we compare the performance of the EM algorithm and the recently developed Differential Evolution Adaptive Metropolis (DREAM) Markov Chain Monte Carlo (MCMC) algorithm for estimating the BMA weights and variances. Simulation experiments using 48-hour ensemble data of surface temperature and multi-model stream-flow forecasts show that both methods produce similar results, and that their performance is unaffected by the length of the training data set. However, MCMC simulation with DREAM is capable of efficiently handling a wide variety of BMA predictive distributions, and provides useful information about the uncertainty associated with the estimated BMA weights and variances.

  19. Weight 1. Leadership

    E-Print Network [OSTI]

    Prodi, Aleksandar

    Weight 0 1 2 3 1. Leadership 33% Has not demonstrated impact through a leadership role Has held a leadership role in one or more organizations and demonstrated impact Has held an organization-wide leadership role in one or more

  20. 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...

  1. 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

  2. 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)

  3. 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)

  4. 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

  5. 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.

  6. 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)

  7. Thermal ghost imaging with averaged speckle patterns

    E-Print Network [OSTI]

    Shapiro, Jeffrey H.

    We present theoretical and experimental results showing that a thermal ghost imaging system can produce images of high quality even when it uses detectors so slow that they respond only to intensity-averaged (that is, ...

  8. STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 Mignon Marks Principal Author Mignon Marks Project Manager David Ashuckian Manager ELECTRICITY ANALYSIS OFFICE Sylvia Bender Acting Deputy Director ELECTRICITY SUPPLY DIVISION B.B. Blevins Executive Director

  9. Selling Geothermal Systems The "Average" Contractor

    E-Print Network [OSTI]

    Selling Geothermal Systems #12;The "Average" Contractor History of sales procedures Manufacturer Driven Procedures What makes geothermal technology any harder to sell? #12;"It's difficult to sell a geothermal system." It should

  10. Distributed Averaging Via Lifted Markov Chains

    E-Print Network [OSTI]

    Jung, Kyomin

    Motivated by applications of distributed linear estimation, distributed control, and distributed optimization, we consider the question of designing linear iterative algorithms for computing the average of numbers in a ...

  11. Self-averaging characteristics of spectral fluctuations

    E-Print Network [OSTI]

    Petr Braun; Fritz Haake

    2014-10-20T23:59:59.000Z

    The spectral form factor as well as the two-point correlator of the density of (quasi-)energy levels of individual quantum dynamics are not self-averaging. Only suitable smoothing turns them into useful characteristics of spectra. We present numerical data for a fully chaotic kicked top, employing two types of smoothing: one involves primitives of the spectral correlator, the second a small imaginary part of the quasi-energy. Self-averaging universal (like the CUE average) behavior is found for the smoothed correlator, apart from noise which shrinks like $1\\over\\sqrt N$ as the dimension $N$ of the quantum Hilbert space grows. There are periodically repeated quasi-energy windows of correlation decay and revival wherein the smoothed correlation remains finite as $N\\to\\infty$ such that the noise is negligible. In between those windows (where the CUE averaged correlator takes on values of the order ${1\\over N^2}$) the noise becomes dominant and self-averaging is lost. We conclude that the noise forbids distinction of CUE and GUE type behavior. Surprisingly, the underlying smoothed generating function does not enjoy any self-averaging outside the range of its variables relevant for determining the two-point correlator (and certain higher-order ones). --- We corroborate our numerical findings for the noise by analytically determining the CUE variance of the smoothed single-matrix correlator.

  12. Is Average Run Length to False Alarm Always an Informative Criterion?

    E-Print Network [OSTI]

    Mei, Yajun

    applications, including statistical process control (SPC), industrial quality control, target or signal- point detection. A partial list includes cumulative sum (CUSUM), Shewhart's control chart, exponentially-weighted moving average (EWMA) charts, Shiyayev-Roberts proce- dures, window-limited control charts, and scan

  13. 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

  14. 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

  15. 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

  16. Average System Cost Methodology : Administrator's Record of Decision.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1984-06-01T23:59:59.000Z

    Significant features of average system cost (ASC) methodology adopted are: retention of the jurisdictional approach where retail rate orders of regulartory agencies provide primary data for computing the ASC for utilities participating in the residential exchange; inclusion of transmission costs; exclusion of construction work in progress; use of a utility's weighted cost of debt securities; exclusion of income taxes; simplification of separation procedures for subsidized generation and transmission accounts from other accounts; clarification of ASC methodology rules; more generous review timetable for individual filings; phase-in of reformed methodology; and each exchanging utility must file under the new methodology within 20 days of implementation by the Federal Energy Regulatory Commission of the ten major participating utilities, the revised ASC will substantially only affect three. (PSB)

  17. The weighted words collector

    E-Print Network [OSTI]

    Boisberranger, Jrmie Du; Ponty, Yann

    2012-01-01T23:59:59.000Z

    Motivated by applications in bioinformatics, we consider the word collector problem, i.e. the expected number of calls to a random weighted generator of words of length $n$ before the full collection is obtained. The originality of this instance of the non-uniform coupon collector lies in the, potentially large, multiplicity of the words/coupons of a given probability/composition. We obtain a general theorem that gives an asymptotic equivalent for the expected waiting time of a general version of the Coupon Collector. This theorem is especially well-suited for classes of coupons featuring high multiplicities. Its application to a given language essentially necessitates some knowledge on the number of words of a given composition/probability. We illustrate the application of our theorem, in a step-by-step fashion, on three exemplary languages, revealing asymptotic regimes in $\\Theta(\\mu(n)\\cdot n)$ and $\\Theta(\\mu(n)\\cdot \\log n)$, where $\\mu(n)$ is the sum of weights over words of length $n$.

  18. Predicting objective function weights from patient anatomy in prostate IMRT treatment planning

    SciTech Connect (OSTI)

    Lee, Taewoo, E-mail: taewoo.lee@utoronto.ca; Hammad, Muhannad [Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, Ontario M5S 3G8 (Canada)] [Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, Ontario M5S 3G8 (Canada); Chan, Timothy C. Y. [Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, Ontario M5S 3G8, Canada and Techna Institute for the Advancement of Technology for Health, 124-100 College Street, Toronto, Ontario M5G 1P5 (Canada)] [Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, Ontario M5S 3G8, Canada and Techna Institute for the Advancement of Technology for Health, 124-100 College Street, Toronto, Ontario M5G 1P5 (Canada); Craig, Tim [Radiation Medicine Program, UHN Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5T 2M9, Canada and Department of Radiation Oncology, University of Toronto, 148-150 College Street, Toronto, Ontario M5S 3S2 (Canada)] [Radiation Medicine Program, UHN Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5T 2M9, Canada and Department of Radiation Oncology, University of Toronto, 148-150 College Street, Toronto, Ontario M5S 3S2 (Canada); Sharpe, Michael B. [Radiation Medicine Program, UHN Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5T 2M9 (Canada) [Radiation Medicine Program, UHN Princess Margaret Cancer Centre, 610 University Avenue, Toronto, Ontario M5T 2M9 (Canada); Department of Radiation Oncology, University of Toronto, 148-150 College Street, Toronto, Ontario M5S 3S2 (Canada); Techna Institute for the Advancement of Technology for Health, 124-100 College Street Toronto, Ontario M5G 1P5 (Canada)

    2013-12-15T23:59:59.000Z

    Purpose: Intensity-modulated radiation therapy (IMRT) treatment planning typically combines multiple criteria into a single objective function by taking a weighted sum. The authors propose a statistical model that predicts objective function weights from patient anatomy for prostate IMRT treatment planning. This study provides a proof of concept for geometry-driven weight determination. Methods: A previously developed inverse optimization method (IOM) was used to generate optimal objective function weights for 24 patients using their historical treatment plans (i.e., dose distributions). These IOM weights were around 1% for each of the femoral heads, while bladder and rectum weights varied greatly between patients. A regression model was developed to predict a patient's rectum weight using the ratio of the overlap volume of the rectum and bladder with the planning target volume at a 1 cm expansion as the independent variable. The femoral head weights were fixed to 1% each and the bladder weight was calculated as one minus the rectum and femoral head weights. The model was validated using leave-one-out cross validation. Objective values and dose distributions generated through inverse planning using the predicted weights were compared to those generated using the original IOM weights, as well as an average of the IOM weights across all patients. Results: The IOM weight vectors were on average six times closer to the predicted weight vectors than to the average weight vector, usingl{sub 2} distance. Likewise, the bladder and rectum objective values achieved by the predicted weights were more similar to the objective values achieved by the IOM weights. The difference in objective value performance between the predicted and average weights was statistically significant according to a one-sided sign test. For all patients, the difference in rectum V54.3 Gy, rectum V70.0 Gy, bladder V54.3 Gy, and bladder V70.0 Gy values between the dose distributions generated by the predicted weights and IOM weights was less than 5 percentage points. Similarly, the difference in femoral head V54.3 Gy values between the two dose distributions was less than 5 percentage points for all but one patient. Conclusions: This study demonstrates a proof of concept that patient anatomy can be used to predict appropriate objective function weights for treatment planning. In the long term, such geometry-driven weights may serve as a starting point for iterative treatment plan design or may provide information about the most clinically relevant region of the Pareto surface to explore.

  19. Polarized electron beams at milliampere average current

    SciTech Connect (OSTI)

    Poelker, Matthew [JLAB

    2013-11-01T23:59:59.000Z

    This contribution describes some of the challenges associated with developing a polarized electron source capable of uninterrupted days-long operation at milliAmpere average beam current with polarization greater than 80%. Challenges will be presented in the context of assessing the required level of extrapolation beyond the performance of today's CEBAF polarized source operating at ~ 200 uA average current. Estimates of performance at higher current will be based on hours-long demonstrations at 1 and 4 mA. Particular attention will be paid to beam-related lifetime-limiting mechanisms, and strategies to construct a photogun that operate reliably at bias voltage > 350kV.

  20. Extracting gluon condensate from the average plaquette

    E-Print Network [OSTI]

    Lee, Taekoon

    2015-01-01T23:59:59.000Z

    The perturbative contribution in the average plaquette is subtracted using Borel summation and the remnant of the plaquette is shown to scale as a dim-4 condensate. A critical review is presented of the renormalon subtraction scheme that claimed a dim-2 condensate. The extracted gluon condensate is compared with the latest result employing high order (35-loop) calculation in the stochastic perturbation theory.

  1. 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.

  2. Bloom, fruit development, and embryo development of peaches in a mild-winter region, and use of percent dry weight of ovule as a maturity index

    E-Print Network [OSTI]

    Bacon, Terry A

    1999-01-01T23:59:59.000Z

    Station, Texas (lat. 30 35'N, long. 96 21'S; elevation 96 meters) was established in 1935 and began developing early-ripening, medium chilling-requirement (CR) (350-700 CR) cultivars in the 1970's and low CR (100-300 CR) cultivars in the 1980's... by the CR of the cultivar and the heat unit accumulation after chilling. In higher latitudes, the influence of CR on time of ripening is minimized because all cultivars, regardless of CR, have their chilling requirement satisfied during the winter...

  3. Polarized electron beams at milliampere average current

    SciTech Connect (OSTI)

    Poelker, M. [Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606 (United States)

    2013-11-07T23:59:59.000Z

    This contribution describes some of the challenges associated with developing a polarized electron source capable of uninterrupted days-long operation at milliAmpere average beam current with polarization greater than 80%. Challenges will be presented in the context of assessing the required level of extrapolation beyond the performance of todays CEBAF polarized source operating at ? 200 uA average current. Estimates of performance at higher current will be based on hours-long demonstrations at 1 and 4 mA. Particular attention will be paid to beam-related lifetime-limiting mechanisms, and strategies to construct a photogun that operate reliably at bias voltage > 350kV.

  4. Table 7.1 Average Prices of Purchased Energy Sources, 2002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices of

  5. Table 7.1 Average Prices of Purchased Energy Sources, 2010

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices of

  6. Table 7.2 Average Prices of Purchased Energy Sources, 2002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices of002

  7. Table 7.2 Average Prices of Purchased Energy Sources, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices of002

  8. Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 20

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices of0023

  9. Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices

  10. Table 7.4 Average Prices of Selected Purchased Energy Sources, 2002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices4

  11. Table 7.4 Average Prices of Selected Purchased Energy Sources, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices44

  12. Table 7.5 Average Prices of Selected Purchased Energy Sources, 2002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices445

  13. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011, 2010,Jersey"RhodeVirginia"West AverageMexico"

  14. The averaging process in permeability estimation from well-test data

    SciTech Connect (OSTI)

    Oliver, D.S. (Saudi Aramco (SA))

    1990-09-01T23:59:59.000Z

    Permeability estimates from the pressure derivative or the slope of the semilog plot usually are considered to be averages of some large ill-defined reservoir volume. This paper presents results of a study of the averaging process, including identification of the region of the reservoir that influences permeability estimates, and a specification of the relative contribution of the permeability of various regions to the estimate of average permeability. The diffusion equation for the pressure response of a well situated in an infinite reservoir where permeability is an arbitrary function of position was solved for the case of small variations from a mean value. Permeability estimates from the slope of the plot of pressure vs. the logarithm of drawdown time are shown to be weighted averages of the permeabilities within an inner and outer radius of investigation.

  15. Some interrelationships of weights of beef calves from birth to weaning and to maturity

    E-Print Network [OSTI]

    Jones, John Willoughby

    1957-01-01T23:59:59.000Z

    i . . . . . . . ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 21 6, Average weight curves from 15 to 210 days of age for 5/8 Hereford-3/8 Brahman calves in 15 calf crops at Lufkin ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 22 70 Average weight curves... The author expresses his appreciation to Professor J, K. Higgs for his assistance in planning and in directing this study, to Mr. H. W. Franke for his cooperation in weighing the cows and calves at College Station, to Mr~ E, K. Crouch for his assistance...

  16. Some interrelationships of weights of beef calves from birth to weaning and to maturity

    E-Print Network [OSTI]

    Jones, John Willoughby

    1957-01-01T23:59:59.000Z

    i . . . . . . . ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 21 6, Average weight curves from 15 to 210 days of age for 5/8 Hereford-3/8 Brahman calves in 15 calf crops at Lufkin ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 22 70 Average weight curves... The author expresses his appreciation to Professor J, K. Higgs for his assistance in planning and in directing this study, to Mr. H. W. Franke for his cooperation in weighing the cows and calves at College Station, to Mr~ E, K. Crouch for his assistance...

  17. Is dark energy an effect of averaging?

    E-Print Network [OSTI]

    Nan Li; Marina Seikel; Dominik J. Schwarz

    2008-01-22T23:59:59.000Z

    The present standard model of cosmology states that the known particles carry only a tiny fraction of total mass and energy of the Universe. Rather, unknown dark matter and dark energy are the dominant contributions to the cosmic energy budget. We review the logic that leads to the postulated dark energy and present an alternative point of view, in which the puzzle may be solved by properly taking into account the influence of cosmic structures on global observables. We illustrate the effect of averaging on the measurement of the Hubble constant.

  18. 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.

  19. 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)

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  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: 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  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. 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

  4. 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)

  5. 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

  6. 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)

  7. 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

  8. 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)

  9. 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)

  10. 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)

  11. 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

  12. 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)

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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)

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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)

  3. 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

  4. 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)

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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)

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. Fact #870: April 27, 2015 Corporate Average Fuel Economy Progress...

    Office of Environmental Management (EM)

    Fact 870: April 27, 2015 Corporate Average Fuel Economy Progress, 1978-2014 Fact 870: April 27, 2015 Corporate Average Fuel Economy Progress, 1978-2014 The Corporate Average Fuel...

  15. Fact #693: September 19, 2011 Average Vehicle Footprint for Cars...

    Energy Savers [EERE]

    and the average track width of the vehicle. The upcoming Corporate Average Fuel Economy (CAFE) Standards have fuel economy targets based on the vehicle footprint. The...

  16. average atom model: Topics by E-print Network

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

    (chemical potential, average ionic charge, free electron density, bound and continuum wave-functions and occupation numbers) are obtained from the average-atom model. The...

  17. Impacts of the extended-weight coal haul road system. Final research report, December 1995

    SciTech Connect (OSTI)

    Pigman, J.; Crabtree, J.; Agent, K.; Graves, C.; Deacon, J.

    1995-12-01T23:59:59.000Z

    The Extended-Weight Coal Haul Road System, created by the Kentucky Legislature in 1986, consists of all roads which carry over 50,000 tons of coal in a calendar year. Trucks hauling coal on this system are authorized to exceed normal weight limits through the payment of an annual decal fee. A research study was initiated in July of 1992 to analyze the impacts of the extended-weight system. Analyses in this report are based on the following: historical data on coal production and transportation: data from coal decal applications; interviews of legislators, transportation officials, coal company representatives, and coal trucking representatives; newspaper articles; vehicle classification data; analyses of pavement costs; pavement rideability data; and accident data. Primary conclusions include; (1) The extended-weight system has apparently been somewhat successful in accomplishing the objective of enhancing the competitiveness and economic viability of the Kentucky coal industry; (2) Overall accident rates did not increase as a result of implementation of the extended-weight system, but the fatal accident injury rates were significantly higher on the extended-weight system and for trucks operating with the coal decal; (3) Advance-warning flashers have been evaluated and recommended as a means of reducing intersection accidents involving heavy/coal trucks; (4) The coal-decal fee structure results in a net annual loss in Road Fund revenue of approximately $2 million; (5) Forty percent of revenue from decal fees are allocated to counties even though county-maintained roads comprise only eight percent of the extended-weight system; (6) Heavier weights of coal-decal trucks add approximately $9 million annually to the pavement overlay costs; (7) Road users throughout the state are subsidizing the movement of Kentucky coal by participating in the cost of maintaining and improving the highway system; and (8) Possibly reflecting the increased funding of extended-weight roads.

  18. APPENDIX A: MONTHLY AVERAGED DATA In many instances monthly averaged data are

    E-Print Network [OSTI]

    Oregon, University of

    for solar energy and climatic applications. Click on the buttons on the left to find out more about the lab for preliminary estimates of solar system performance. This section provides a summary of monthly averaged data for all sites in watt hours/meter2 per hour or day. For each site and each solar measurement the data

  19. 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

  20. 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....

  1. 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.

  2. 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...

  3. Calculator program optimizes bit weight, rotary speed, reducing drilling cost

    SciTech Connect (OSTI)

    Simpson, M.A.

    1984-04-23T23:59:59.000Z

    Bit selection, bit weight, and rotary speed have repeatedly proven to be the most important and commonly overlooked alterable factors which control penetration rate, footage, and overall drilling cost. This is particularly true in offshore operations where drilling costs are highest and the greatest cost savings stand to be achieved through implementation of proven optimization techniques. The myth that bit weights and rotary speeds cannot be optimized in directional holes has hindered the industry from using this virtually cost-free method for reducing drilling cost. The use of optimized bit weights and rotary speeds in conjunction with minimum cost bit programs based on cost per foot analysis of previous bit runs in the area was implemented on a five-well platform in the Grand Isle Block 20 field, offshore Louisiana. Each of the directional wells was drilled substantially faster and cheaper than the discovery well, which was a straight hole. Average reductions in footage cost of 31.3%, based on daily operating cost of $30,000/day, and increase in average daily footage drilled of 45.2% were effected by ''collectively optimizing'' drilling performance. The ''Optimizer'' program is an HP-41CV adaptation of the Bourgoyne and Young drilling model. It was used to calculate the optimum bit weights and rotary speeds based on field drilling tests; historical bit and bearing wear data; and current operating conditions, cost, and constraints.

  4. Relationship between relative weight (Wr) and body composition in immature walleye

    E-Print Network [OSTI]

    Rose, Carolyn June

    1989-01-01T23:59:59.000Z

    pelleted feed at 0. 25, 0. 75, 1. 00, 2. 00, 3. 00, and 4. 00 percent of wet body weight per day (': BWPD), measuring weight and total length, and analyzing fish for crude fat, protein, and ash at the termination of two feeding studies. Regression... models were developed which allow general estimation of body composition from Wr in immature walleye. There was a positive relationship between Wr and crude fat, while relationships between Wr and crude ash were negative. Visceral fat was absent...

  5. Weighted Watson-Crick automata

    SciTech Connect (OSTI)

    Tamrin, Mohd Izzuddin Mohd [Department of Information System, Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, 50728 Gombak, Selangor (Malaysia); Turaev, Sherzod; Sembok, Tengku Mohd Tengku [Department of Computer Science, Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, 50728 Gombak, Selangor (Malaysia)

    2014-07-10T23:59:59.000Z

    There are tremendous works in biotechnology especially in area of DNA molecules. The computer society is attempting to develop smaller computing devices through computational models which are based on the operations performed on the DNA molecules. A Watson-Crick automaton, a theoretical model for DNA based computation, has two reading heads, and works on double-stranded sequences of the input related by a complementarity relation similar with the Watson-Crick complementarity of DNA nucleotides. Over the time, several variants of Watson-Crick automata have been introduced and investigated. However, they cannot be used as suitable DNA based computational models for molecular stochastic processes and fuzzy processes that are related to important practical problems such as molecular parsing, gene disease detection, and food authentication. In this paper we define new variants of Watson-Crick automata, called weighted Watson-Crick automata, developing theoretical models for molecular stochastic and fuzzy processes. We define weighted Watson-Crick automata adapting weight restriction mechanisms associated with formal grammars and automata. We also study the generative capacities of weighted Watson-Crick automata, including probabilistic and fuzzy variants. We show that weighted variants of Watson-Crick automata increase their generative power.

  6. Molecular Weight & Energy Transport 7 September 2011

    E-Print Network [OSTI]

    Militzer, Burkhard

    't transport the bulk of the energy in the sun. #12;Molecular Weight & Energy Transport 7 September 2011 Goals Review mean molecular weight this intuitively before looking back at your quantitative results. #12;molecular weight & energy transport 2 Energy

  7. 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.}

  8. Impacts of the extended-weight coal haul road system (interim report). Research report

    SciTech Connect (OSTI)

    Crabtree, J.D.; Pigman, J.G.; Deacon, J.A.; Agent, K.R.

    1993-10-01T23:59:59.000Z

    The Extended-Weight Coal Haul Road System, created by Kentucky`s Legislature in 1986, consists of all roads which carry over 50,000 tons of coal in a calendar year. Trucks hauling coal on this system are authorized to exceed normal weight limits through the payment of an annual decal fee. A research study was initiated in July of 1992 to analyze the impacts of the extended-weight system. This interim report prepared after one year of a three-year study, describes the analyses performed thus far and presents preliminary findings, recommendations, and a discussion of future work. Analyses in this report are based on: historical data on coal production and transportation; data from coal decal applications; interviews of legislators, transportation officials, coal company representatives, and coal trucking representatives: newspaper articles; vehicle classification data; a pavement cost analysis; and accident data. Preliminary conclusions include: (1) The extended-weight system has apparently been somewhat successful in accomplishing the primary objectives: to enhance the competitiveness and economic viability of Kentucky`s coal industry and to eliminate the perceived need for cal haulers to violate the law in order to be competitive; (2) Overall accident rates are no higher on the extended-weight system than on other comparable routes, but the fatal accident rate is significantly higher on the extended-weight system; (3) The coal-decal fee structure results in a net annual loss in Road Fund revenue of approximately $2 million; (4) Forty percent of the revenue from decal sales is allocated to the counties, although less than ten percent of the extended-weight system in county-maintained; (5) The heavier weights of coal-decal trucks add approximately $9 million annually to pavement overlay costs and increase other highway costs. (6) Road users throughout the state are subsidizing the movement of Kentucky coal by underwriting the increased costs.

  9. Characterization and analysis of the molecular weight of lignin for biorefining studies

    SciTech Connect (OSTI)

    Tolbert, Allison [Georgia Institute of Technology, Atlanta] [Georgia Institute of Technology, Atlanta; Akinosho, Hannah [Georgia Institute of Technology, Atlanta] [Georgia Institute of Technology, Atlanta; Khunsupat, Taya Ratayakorn [ORNL] [ORNL; Naskar, Amit K [ORNL] [ORNL; Ragauskas, Arthur [Georgia Institute of Technology, Atlanta] [Georgia Institute of Technology, Atlanta

    2014-01-01T23:59:59.000Z

    The molecular weight of lignin is a fundamental property that infl uences the recalcitrance of biomass and the valorization of lignin. The determination of the molecular weight of lignin in native biomass is dependent on the bioresources used and the isolation and purifi cation procedures employed. The three most commonly employed isolation methods are milled wood lignin (MWL), cellulolytic enzyme lignin (CEL), and enzymatic mild acidolysis lignin (EMAL). Common characterization techniques for determining the molecular weight of lignin will be addressed, with an emphasis on gel permeation chromatography (GPC). This review also examines the mechanisms behind several biological, physical, and chemical pre-treatments and their impact on the molecular weight of lignin. The number average molecular weight (Mn), weight average molecular weight (Mw) and polydispersity index (D) all vary in magnitude depending on the biomass source, pre-treatment conditions, and isolation method. Additionally, there is a growing body of literature that supports changes in the molecular weight of lignin in response to genetic modifi cations in the lignin biosynthetic pathways. This review summarizes different procedures for obtaining the molecular weight of lignin that have been used in recent years and highlight future opportunities for applications of lignin.

  10. Studies of transverse momentum dependent parton distributions and Bessel weighting

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

    Aghasyan, M; Avakian, H; De Sanctis, E; Gamberg, L; Mirazita, M; Musch, B; Prokudin, A; Rossi, P

    2015-03-01T23:59:59.000Z

    In this paper we present a new technique for analysis of transverse momentum dependent parton distribution functions, based on the Bessel weighting formalism. The procedure is applied to studies of the double longitudinal spin asymmetry in semi-inclusive deep inelastic scattering using a new dedicated Monte Carlo generator which includes quark intrinsic transverse momentum within the generalized parton model. Using a fully differential cross section for the process, the effect of four momentum conservation is analyzed using various input models for transverse momentum distributions and fragmentation functions. We observe a few percent systematic offset of the Bessel-weighted asymmetry obtained from Monte Carlo extraction compared to input model calculations, which is due to the limitations imposed by the energy and momentum conservation at the given energy/Q2. We find that the Bessel weighting technique provides a powerful and reliable tool to study the Fourier transform of TMDs with controlled systematics due to experimental acceptances and resolutions with different TMD model inputs.

  11. Studies of transverse momentum dependent parton distributions and Bessel weighting

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

    Aghasyan, M.; Avakian, H.; De Sanctis, E.; Gamberg, L.; Mirazita, M.; Musch, B.; Prokudin, A.; Rossi, P.

    2015-03-01T23:59:59.000Z

    In this paper we present a new technique for analysis of transverse momentum dependent parton distribution functions, based on the Bessel weighting formalism. The procedure is applied to studies of the double longitudinal spin asymmetry in semi-inclusive deep inelastic scattering using a new dedicated Monte Carlo generator which includes quark intrinsic transverse momentum within the generalized parton model. Using a fully differential cross section for the process, the effect of four momentum conservation is analyzed using various input models for transverse momentum distributions and fragmentation functions. We observe a few percent systematic offset of the Bessel-weighted asymmetry obtained from MontemoreCarlo extraction compared to input model calculations, which is due to the limitations imposed by the energy and momentum conservation at the given energy/Q2. We find that the Bessel weighting technique provides a powerful and reliable tool to study the Fourier transform of TMDs with controlled systematics due to experimental acceptances and resolutions with different TMD model inputs.less

  12. Fact #624: May 24, 2010 Corporate Average Fuel Economy Standards...

    Energy Savers [EERE]

    4: May 24, 2010 Corporate Average Fuel Economy Standards, Model Years 2012-2016 Fact 624: May 24, 2010 Corporate Average Fuel Economy Standards, Model Years 2012-2016 The final...

  13. Fact #870: April 27, 2015 Corporate Average Fuel Economy Progress...

    Energy Savers [EERE]

    70: April 27, 2015 Corporate Average Fuel Economy Progress, 1978-2014 - Dataset Fact 870: April 27, 2015 Corporate Average Fuel Economy Progress, 1978-2014 - Dataset Excel file...

  14. Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51%...

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

    For the 2014 model year, midsize hybrid cars averaged 43.4 miles per gallon (mpg) while midsize non-hybrid cars averaged 28.7 mpg; the difference between the two has narrowed due...

  15. Effects of dairy intake on weight maintenance

    E-Print Network [OSTI]

    Zemel, Michael B.; Donnelly, Joseph E.; Smith, Bryan K.; Sullivan, Debra K.; Richards, Joanna; Morgan-Hanusa, Danielle; Mayo, Matthew S.; Sun, Xiaocun; Cook-Wiens, Galen; Bailey, Bruce W.; Van Walleghen, Emily L.; Washburn, Richard A.

    2008-10-24T23:59:59.000Z

    . However, weight maintenance following successful weight loss is a critical component to the successful management of obesity, and although there are animal data to support the concept of calcium and dairy attenuation of weight and fat regain [23... or components of body composition. The premise of this investigation was that correction of dietary calcium and dairy insufficiency may attenuate weight regain following successful weight loss. Accord- ingly, it was important to have a clear comparison of inad...

  16. Specific gravities and dry weight relationships of planted slash pine (Pinus elliottii Engelm.) in East Texas

    E-Print Network [OSTI]

    King, Anthony Laurence

    1974-01-01T23:59:59.000Z

    . , Texas ASM University; Chairman of Advisory Committee: Dr. David M, Moehring In this study wood specific gravity values of 220 plantation grown slash pine (Pinus elliottii Engelm. ) trees growing in East Texas were calculated and related to tree... parameters. Also tree dry weight (DW) relationships with tree parameters were determined and dry weight tables calculated. Average specific gravity values of cores and disks at breast height and tree specific gravities respectively were 0. 457, 0. 493...

  17. average power femtosecond: Topics by E-print Network

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

    Stirling refrigerator1 that abrupt changes in geometry are ubiquitous in Stirling engines, thermoacoustics, and res- piratory flows Smith, Barton L. 52 On the Peak-to-Average...

  18. average power ratio: Topics by E-print Network

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

    Stirling refrigerator1 that abrupt changes in geometry are ubiquitous in Stirling engines, thermoacoustics, and res- piratory flows Smith, Barton L. 60 High average power,...

  19. average power semiconductor: Topics by E-print Network

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

    Stirling refrigerator1 that abrupt changes in geometry are ubiquitous in Stirling engines, thermoacoustics, and res- piratory flows Smith, Barton L. 56 High average power,...

  20. average resonance neutron: Topics by E-print Network

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

    Nader Haghighipour 1999-02-03 4 Average over energy effect of parity nonconservation in neutron scattering on heavy nuclei Nuclear Theory (arXiv) Summary: Using semiclassical...

  1. LOW-HIGH VALUES FOR PETROLEUM AVERAGE INVENTORY RANGES (MILLION...

    Gasoline and Diesel Fuel Update (EIA)

    ENERGY INFORMATION ADMINISTRATION LOW-HIGH VALUES FOR PETROLEUM AVERAGE INVENTORY RANGES (MILLION BARRELS) FILE UPDATED April 2004 Line Month Low High Number Product Name Geography...

  2. average daily traffic: Topics by E-print Network

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

    Next Page Last Page Topic Index 1 April 2014 Annual Average DailyTraffic (AADT) is a key input in operations and transportation planning Environmental Sciences and Ecology...

  3. average wind shear: Topics by E-print Network

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

    by uncompensated voids. Maria Mattsson; Teppo Mattsson 2010-07-17 7 Probabilistic Wind Speed Forecasting using Ensembles and Bayesian Model Averaging Mathematics Websites Summary:...

  4. average high energy: Topics by E-print Network

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

    averaged null (ANEC) energy conditions, and quantum inequality restrictions on negative energy for free massless scalar fields. In a two-dimensional compactified Minkowski...

  5. average kinetic energy: Topics by E-print Network

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

    energy by kinetic averaging Pierre-Emmanuel Jabin Ecole Normale Sup-Landau energy for two dimensional divergence free fields ap- pearing in the gradient theory of...

  6. average beta energy: Topics by E-print Network

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

    averaged null (ANEC) energy conditions, and quantum inequality restrictions on negative energy for free massless scalar fields. In a two-dimensional compactified Minkowski...

  7. average power high: Topics by E-print Network

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

    Simultaneous Power Fluctuation and Average Power Minimization during Nano-CMOS Behavioral Synthesis Computer Technologies and Information Sciences Websites Summary: conversion 6....

  8. Weighted Guidelines | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015Visiting Strong, Smart,Department of EnergyEnergyWeighted

  9. Energy Aware Scheduling for Weighted Completion Time and Weighted Tardiness

    E-Print Network [OSTI]

    Carrasco, Rodrigo A; Stein, Cliff

    2011-01-01T23:59:59.000Z

    The ever increasing adoption of mobile devices with limited energy storage capacity, on the one hand, and more awareness of the environmental impact of massive data centres and server pools, on the other hand, have both led to an increased interest in energy management algorithms. The main contribution of this paper is to present several new constant factor approximation algorithms for energy aware scheduling problems where the objective is to minimize weighted completion time plus the cost of the energy consumed, in the one machine non-preemptive setting, while allowing release dates and deadlines.Unlike previous known algorithms these new algorithms can handle general job-dependent energy cost functions, extending the application of these algorithms to settings outside the typical CPU-energy one. These new settings include problems where in addition, or instead, of energy costs we also have maintenance costs, wear and tear, replacement costs, etc., which in general depend on the speed at which the machine r...

  10. On average sampling restoration of Piranashvilitype harmonizable processes

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    ; time shifted sam- pling; Piranashvili, Lo`eve, Karhunen harmonizable stochastic process; weakly.olenko@latrobe.edu.au, poganj@pfri.hr Abstract: The harmonizable Piranashvili type stochastic pro- cesses are approximated stationary stochastic process; local averages; average sampling reconstruction. 1. Introduction

  11. averaged energy minimization: Topics by E-print Network

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

    averaged energy minimization First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Averaged Energy...

  12. THE AVERAGED CONTROL SYSTEM OF FAST OSCILLATING CONTROL SYSTEMS

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    , control systems, small control, optimal control, Finsler geometry. AMS subject classifications. 34C29, 34H used for design. The use of averaging in optimal control of oscillating systems [10, 13, 14, 7THE AVERAGED CONTROL SYSTEM OF FAST OSCILLATING CONTROL SYSTEMS ALEX BOMBRUN AND JEAN

  13. Distributed Average Consensus in Sensor Networks with Random Link Failures

    E-Print Network [OSTI]

    Moura, Jos

    Distributed Average Consensus in Sensor Networks with Random Link Failures Soummya Kar Department: soummyakgandrew.cmu.edu Abstract We study the impact of the topology of a sensor network on distributed average in terms of a moment of the distribution of the norm of a function of the network graph Laplacian matrix L

  14. The global warming signal is the average of

    E-Print Network [OSTI]

    Jones, Peter JS

    , uncertainty in the isopycnal diffusivity causes uncertainty of up to 50% in the global warming signalThe global warming signal is the average of years 70-80 in the increasing CO2 run minus the average represent significant uncertainty in the global warming signal (Fig. 5). The differences at high latitudes

  15. Weighted Marshall-Olkin Bivariate Exponential Distribution

    E-Print Network [OSTI]

    Kundu, Debasis

    Weighted Marshall-Olkin Bivariate Exponential Distribution Ahad Jamalizadeh & Debasis Kundu of weighted Marshall-Olkin bivariate exponential distribu- tions. This new singular distribution has of this paper is to introduce a weighted Marshall-Olkin bivariate exponential (WMOBE) distribution, using

  16. Is Dark Energy Abnormally Weighting?

    E-Print Network [OSTI]

    A. Fuzfa; J. -M. Alimi

    2006-09-05T23:59:59.000Z

    We present a new interpretation of dark energy in terms of an \\textit{Abnormally Weighting Energy} (AWE). This means that dark energy does not couple to gravitation in the same way as ordinary matter, yielding a violation of the weak and strong equivalence principles on cosmological scales. The resulting cosmological mechanism accounts for the Hubble diagram of type Ia supernovae in terms of both cosmic acceleration and variation of the gravitational constant while still accounting for the present tests of general relativity. This explanation allows to build dark energy models (i) without violation of the strong energy condition $p<-\\rho c^2/3$ (ii) with non-negligible direct couplings to gravitation and (iii) natural convergence mechanism toward general relativity.

  17. average glandular dose: Topics by E-print Network

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

    doses and cancer rates to the workers m the first Soviet atom-bomb facility, near 2 Chelyabinsk and 4,600 at the plutonium sep- aration plant. If we allow for an average work...

  18. INDIVIDUAL REFORM ELEMENTS .63Average course exam score

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    INDIVIDUAL REFORM ELEMENTS .63Average course exam score .11In class clicker score .02Lecture: Correlations with effort/curricular elements are positive but not high, indicating no individual course reform

  19. areally averaged heat: Topics by E-print Network

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

    Chulwoo Jung; Christoph Lehner 2014-02-18 56 The Fallacy of Averages University of Kansas - KU ScholarWorks Summary: of component variables as well, we found that ignoring...

  20. Does anyone have access to 2012 average residential rates by...

    Open Energy Info (EERE)

    Does anyone have access to 2012 average residential rates by utility company? I'm seeing an inconsistency between the OpenEI website and EIA 861 data set. Home > Groups > Utility...

  1. From average case complexity to improper learning [Extended Abstract

    E-Print Network [OSTI]

    Linial, Nathan "Nati"

    is that the standard reduc- tions from NP-hard problems do not seem to apply in this context. There is essentially only.1145/2591796.2591820. Keywords Hardness of improper learning, DNFs, Halfspaces, Average Case complexity, CSP problems, Resolution

  2. average neutronic properties: Topics by E-print Network

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

    M. H. van Kerkwijk 2004-03-20 2 Average over energy effect of parity nonconservation in neutron scattering on heavy nuclei Nuclear Theory (arXiv) Summary: Using semiclassical...

  3. average power optical: Topics by E-print Network

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

    systems, Multiple Subcarrier Strohmer, Thomas 3 June 1, 2000 Vol. 25, No. 11 OPTICS LETTERS 859 16.2-W average power from a diode-pumped Materials Science Websites...

  4. Fact #835: August 25, 2014 Average Annual Gasoline Pump Price...

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

    35: Average Annual Gasoline Pump Price, 1929-2013 fotw835web.xlsx More Documents & Publications Offshore Wind Market and Economic Analysis Report 2013 Response to several FOIA...

  5. THE UNIVERSITY OF RHODE ISLAND FRINGE BENEFIT AVERAGE RATE

    E-Print Network [OSTI]

    Rhode Island, University of

    THE UNIVERSITY OF RHODE ISLAND FRINGE BENEFIT AVERAGE RATE FY 2015 Allocation Cost or Classified.2% URI Budget & Financial Planning Office 9.17.14 Office:fringebenefits:office of sponsored projects: FY2015 Allocation #12;

  6. On the Choice of Average Solar Zenith Angle

    E-Print Network [OSTI]

    Cronin, Timothy W.

    Idealized climate modeling studies often choose to neglect spatiotemporal variations in solar radiation, but doing so comes with an important decision about how to average solar radiation in space and time. Since both ...

  7. average neck flexion: Topics by E-print Network

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

    profiles including the singular isothermal sphere, the Navarro-Frenk-White... Retana-Montenegro, E; Baes, M 2012-01-01 13 Fast Averaging MIT - DSpace Summary: We are interested in...

  8. averaged cross sections: Topics by E-print Network

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

    14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Relations between fusion cross sections and average angular momenta Nuclear Theory (arXiv) Summary: We study...

  9. averaged cross section: Topics by E-print Network

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

    14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Relations between fusion cross sections and average angular momenta Nuclear Theory (arXiv) Summary: We study...

  10. average cross sections: Topics by E-print Network

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

    14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Relations between fusion cross sections and average angular momenta Nuclear Theory (arXiv) Summary: We study...

  11. average effective dose: Topics by E-print Network

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

    field theory, Chern-Simons theory is discussed in detail. M. Reuter 1996-02-04 2 Is dark energy an effect of averaging? CERN Preprints Summary: The present standard model of...

  12. Flavor Physics Data from the Heavy Flavor Averaging Group (HFAG)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Heavy Flavor Averaging Group (HFAG) was established at the May 2002 Flavor Physics and CP Violation Conference in Philadelphia, and continues the LEP Heavy Flavor Steering Group's tradition of providing regular updates to the world averages of heavy flavor quantities. Data are provided by six subgroups that each focus on a different set of heavy flavor measurements: B lifetimes and oscillation parameters, Semi-leptonic B decays, Rare B decays, Unitarity triangle parameters, B decays to charm final states, and Charm Physics.

  13. Table A44. Average Prices of Purchased Electricity and Steam

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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" "

  14. Partial Averaging Near a Resonance in Planetary Dynamics

    E-Print Network [OSTI]

    Nader Haghighipour

    1999-02-03T23:59:59.000Z

    Following the general numerical analysis of Melita and Woolfson (1996), I showed in a recent paper that a restricted, planar, circular planetary system consisting of Sun, Jupiter and Saturn would be captured in a near (2:1) resonance when one would allow for frictional dissipation due to interplanetary medium (Haghighipour, 1998). In order to analytically explain this resonance phenomenon, the method of partial averaging near a resonance was utilized and the dynamics of the first-order partially averaged system at resonance was studied. Although in this manner, the finding that resonance lock occurs for all initial relative positions of Jupiter and Saturn was confirmed, the first-order partially averaged system at resonance did not provide a complete picture of the evolutionary dynamics of the system and the similarity between the dynamical behavior of the averaged system and the main planetary system held only for short time intervals. To overcome these limitations, the method of partial averaging near a resonance is extended to the second order of perturbation in this paper and a complete picture of dynamical behavior of the system at resonance is presented. I show in this study that the dynamics of the second-order partially averaged system at resonance resembles the dynamical evolution of the main system during the resonance lock in general, and I present analytical explanations for the evolution of the orbital elements of the main system while captured in resonance.

  15. Methods of predicting the weight of carcass roast and steak meat from easily obtainable carcass measurements

    E-Print Network [OSTI]

    Fitzhugh, Henry Allen

    1963-01-01T23:59:59.000Z

    MEASUREMENTS 152 HEREFORD STEERS AND 51 CROSSBRED STEERS 16 3. SIMPLE CORRELATIONS BET!&EN CARCASS MEASUREMENTS 152 HEREFORD S EERS. 17 4. PARTIAL CORRELATION COEFFICIENTS WITH CHILLED CARCASS WEIGHT HELD CONSTANT ? 152 HEREFORD STEERS. 19 5. PARTIAL... retail cuts by 1. 5 percent or sligh ly ?ore thtan otte percetdc& Leapt'cl ively. Furthermore, an tt 1 1 1' ~tt 1t 1 ~P; by 1' k (1960) 1t 6 an U. S. D. A, conclusion that the negative effect of fatness on carcass yield is approximately twice as great...

  16. atomic weights table: Topics by E-print Network

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

    stability, atomic weights and molecular weights V. Paar, Bijeniccka 32, 10000 Zagreb, Croatia Accepted 15 January 2002 Abstract A power law is introduced weights. The power law...

  17. apparent molecular weight: Topics by E-print Network

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

    stability, atomic weights and molecular weights V. Paar, Bijeniccka 32, 10000 Zagreb, Croatia Accepted 15 January 2002 Abstract A power law is introduced weights. The power law...

  18. atomic weights tables: Topics by E-print Network

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

    stability, atomic weights and molecular weights V. Paar, Bijeniccka 32, 10000 Zagreb, Croatia Accepted 15 January 2002 Abstract A power law is introduced weights. The power law...

  19. assigning individual weights: Topics by E-print Network

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

    understeer, and cornering shifts weight to the opposite side, unloading the inside tires. But why does weight shift during these maneuvers? How can weight shift when...

  20. Costs of Generating Electrical Energy 1.0 Overview

    E-Print Network [OSTI]

    McCalley, James D.

    , 1992 through 2008 Period Coal [1] Petroleum [2] Natural Gas [3] All Fossil Fuels Receipts (Billion BTU) Average Cost Avg. Sulfur Percent by Weight Receipts (billion BTU) Average Cost Avg. Sulfur Percent by Weight Receipts (Billion BTUs) Average Cost (cents/ 10 6 Btu) Average Cost (cents/ 10 6 Btu) ($ per 10 6

  1. Average Soil Water Retention Curves Measured by Neutron Radiography

    SciTech Connect (OSTI)

    Cheng, Chu-Lin [ORNL; Perfect, Edmund [University of Tennessee, Knoxville (UTK); Kang, Misun [ORNL; Voisin, Sophie [ORNL; Bilheux, Hassina Z [ORNL; Horita, Juske [Texas Tech University (TTU); Hussey, Dan [NIST Center for Neutron Research (NCRN), Gaithersburg, MD

    2011-01-01T23:59:59.000Z

    Water retention curves are essential for understanding the hydrologic behavior of partially-saturated porous media and modeling flow transport processes within the vadose zone. In this paper we report direct measurements of the main drying and wetting branches of the average water retention function obtained using 2-dimensional neutron radiography. Flint sand columns were saturated with water and then drained under quasi-equilibrium conditions using a hanging water column setup. Digital images (2048 x 2048 pixels) of the transmitted flux of neutrons were acquired at each imposed matric potential (~10-15 matric potential values per experiment) at the NCNR BT-2 neutron imaging beam line. Volumetric water contents were calculated on a pixel by pixel basis using Beer-Lambert s law after taking into account beam hardening and geometric corrections. To remove scattering effects at high water contents the volumetric water contents were normalized (to give relative saturations) by dividing the drying and wetting sequences of images by the images obtained at saturation and satiation, respectively. The resulting pixel values were then averaged and combined with information on the imposed basal matric potentials to give average water retention curves. The average relative saturations obtained by neutron radiography showed an approximate one-to-one relationship with the average values measured volumetrically using the hanging water column setup. There were no significant differences (at p < 0.05) between the parameters of the van Genuchten equation fitted to the average neutron radiography data and those estimated from replicated hanging water column data. Our results indicate that neutron imaging is a very effective tool for quantifying the average water retention curve.

  2. Average and recommended half-life values for two neutrino double beta decay: Upgrade-2013

    SciTech Connect (OSTI)

    Barabash, A. S. [Institute of Theoretical and Experimental Physics, B. Cheremushkinskaya 25, 117218 Moscow (Russian Federation)

    2013-12-30T23:59:59.000Z

    All existing positive results on two neutrino double beta decay in different nuclei were analyzed. Using the procedure recommended by the Particle Data Group, weighted average values for half-lives of {sup 48}Ca, {sup 76}Ge, {sup 82}Se, {sup 96}Zr, {sup 100}Mo, {sup 100}Mo?{sup 100}Ru (0{sub 1}{sup +}), {sup 116}Cd, {sup 130}Te, {sup 136}Xe, {sup 150}Nd, {sup 150}Nd?{sup 150}Sm (0{sub 1}{sup +}) and {sup 238}U were obtained. Existing geochemical data were analyzed and recommended values for half-lives of {sup 128}Te and {sup 130}Ba are proposed. I recommend the use of these results as the most currently reliable values for half-lives.

  3. Semiring Artificial Neural Networks and Weighted Automata

    E-Print Network [OSTI]

    Hoelldobler, Steffen

    Semiring Artificial Neural Networks and Weighted Automata And an Application to Digital Image neural networks and weighted automata. For this task, we introduce semiring artificial neural networks, that is, artificial neural networks which implement the addition and the multiplication of semirings. We

  4. averaged lorentz dynamics: Topics by E-print Network

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

    averaged lorentz dynamics First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Dynamics on Lorentz manifolds...

  5. average energy losses: Topics by E-print Network

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

    average energy losses First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Comparing energy loss...

  6. HIGH AVERAGE POWER UV FREE ELECTRON LASER EXPERIMENTS AT JLAB

    SciTech Connect (OSTI)

    Douglas, David; Evtushenko, Pavel; Gubeli, Joseph; Hernandez-Garcia, Carlos; Legg, Robert; Neil, George; Powers, Thomas; Shinn, Michelle D; Tennant, Christopher

    2012-07-01T23:59:59.000Z

    Having produced 14 kW of average power at {approx}2 microns, JLAB has shifted its focus to the ultraviolet portion of the spectrum. This presentation will describe the JLab UV Demo FEL, present specifics of its driver ERL, and discuss the latest experimental results from FEL experiments and machine operations.

  7. Probabilistic Wind Speed Forecasting Using Ensembles and Bayesian Model Averaging

    E-Print Network [OSTI]

    Raftery, Adrian

    the chance of winds high enough to pose dangers for boats or aircraft. In situations calling for a cost/loss analysis, the probabilities of different outcomes need to be known. For wind speed, this issue often arisesProbabilistic Wind Speed Forecasting Using Ensembles and Bayesian Model Averaging J. Mc

  8. The Scientist : Surpassing the Law of Averages The Scientist

    E-Print Network [OSTI]

    Heller, Eric

    /8/2009 7:02:24 PM] #12;The Scientist : Surpassing the Law of Averages "Single-cell genomics appears to be the most straightforward, and at the moment the only way we can assemble the genomes of the uncultured and pushing technological limitations to bring their studies of genomics, genetics, RNA transcription

  9. Navy Estimated Average Hourly Load Profile by Month (in MW)

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

    Navy Estimated Average Hourly Load Profile by Month (in MW) MONTH HE1 HE2 HE3 HE4 HE5 HE6 HE7 HE8 HE9 HE10 HE11 HE12 HE13 HE14 HE15 HE16 HE17 HE18 HE19 HE20 HE21 HE22 HE23 HE24...

  10. Paleosecular variation and the average geomagnetic field at 20 latitude

    E-Print Network [OSTI]

    Johnson, Catherine Louise

    -averaged field (TAF) for a two-parameter longitudinally symmetric (zonal) model. Values for our model parameters rocks, and oceanic sediments, but consistent with that from reversed polarity continental and igneous to paleosecular variation (PSV). We examine PSV at 20 using virtual geomagnetic pole (VGP) dispersion

  11. Probabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging

    E-Print Network [OSTI]

    Washington at Seattle, University of

    February 24, 2006 1J. McLean Sloughter is Graduate Research Assistant, Adrian E. Raftery is BlumsteinProbabilistic Quantitative Precipitation Forecasting Using Bayesian Model Averaging J. McLean Sloughter, Adrian E. Raftery and Tilmann Gneiting 1 Department of Statistics, University of Washington

  12. Probabilistic Wind Vector Forecasting Using Ensembles and Bayesian Model Averaging

    E-Print Network [OSTI]

    Raftery, Adrian

    : J. McLean Sloughter, Department of Mathematics, Seattle University, 901 12th Ave., P.O. Box 222000Probabilistic Wind Vector Forecasting Using Ensembles and Bayesian Model Averaging J. MCLEAN SLOUGHTER Seattle University, Seattle, Washington TILMANN GNEITING Heidelberg University, Heidelberg

  13. average specific absorption: Topics by E-print Network

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

    average specific absorption First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Original Research Specific...

  14. Using Brain Weight to Predict Gestation in Mammals Bivariate Fit of Gestation By Brain Weight

    E-Print Network [OSTI]

    Carriquiry, Alicia

    1 Using Brain Weight to Predict Gestation in Mammals Bivariate Fit of Gestation By Brain Weight 0 100 200 300 400 500 Gestation 0 500 1000 1500 BrainWgt Linear Fit (All 50 mammals) Predicted Gestation = 85.248543 + 0.299867 Brain Weight Summary of Fit RSquare 0.372483 RSquare Adj 0.35941 Root Mean

  15. Better than Average? - Green Building Certification in International Projects

    E-Print Network [OSTI]

    Baumann, O.

    2008-01-01T23:59:59.000Z

    . An Enterprise of the Ebert-Consulting Group 1004 Pennsylvania Avenue, SE Washington, D.C. 20003, USA 00 12 02/ 6 08 - 13 34 o.baumann@eb-engineers.com Better than Average? - Green Building Certification in International Projects Green Building..., green building rating systems focus on sustainability for the entire life-cycle of buildings and therefore offer great opportunities for enhancing building operation, when applied and used appropriately. This presentation gives an overview...

  16. Averaging cross section data so we can fit it

    SciTech Connect (OSTI)

    Brown, D. [Brookhaven National Lab. (BNL), Upton, NY (United States). NNDC

    2014-10-23T23:59:59.000Z

    The 56Fe cross section we are interested in have a lot of fluctuations. We would like to fit the average of the cross section with cross sections calculated within EMPIRE. EMPIRE is a Hauser-Feshbach theory based nuclear reaction code, requires cross sections to be smoothed using a Lorentzian profile. The plan is to fit EMPIRE to these cross sections in the fast region (say above 500 keV).

  17. Estimate of average freeze-out volume in multifragmentation events

    E-Print Network [OSTI]

    Piantelli, S; Borderie, B; Bougault, R; Chbihi, A; Dayras, R; Durand, D; Frankland, J D; Galchet, E; Guinet, D; Lanzalone, G; Lautesse, P; Le Neindre, N; Lpez, O; Prlog, M; Rivet, M F; Rosato, E; Tamain, B; Vient, E; Vigilante, M; Volant, C; Wieleczko, J P

    2005-01-01T23:59:59.000Z

    An estimate of the average freeze-out volume for multifragmentation events is presented. Values of volumes are obtained by means of a simulation using the experimental charged product partitions measured by the 4pi multidetector INDRA for 129Xe central collisions on Sn at 32 AMeV incident energy. The input parameters of the simulation are tuned by means of the comparison between the experimental and simulated velocity (or energy) spectra of particles and fragments.

  18. High Average Power, High Energy Short Pulse Fiber Laser System

    SciTech Connect (OSTI)

    Messerly, M J

    2007-11-13T23:59:59.000Z

    Recently continuous wave fiber laser systems with output powers in excess of 500W with good beam quality have been demonstrated [1]. High energy, ultrafast, chirped pulsed fiber laser systems have achieved record output energies of 1mJ [2]. However, these high-energy systems have not been scaled beyond a few watts of average output power. Fiber laser systems are attractive for many applications because they offer the promise of high efficiency, compact, robust systems that are turn key. Applications such as cutting, drilling and materials processing, front end systems for high energy pulsed lasers (such as petawatts) and laser based sources of high spatial coherence, high flux x-rays all require high energy short pulses and two of the three of these applications also require high average power. The challenge in creating a high energy chirped pulse fiber laser system is to find a way to scale the output energy while avoiding nonlinear effects and maintaining good beam quality in the amplifier fiber. To this end, our 3-year LDRD program sought to demonstrate a high energy, high average power fiber laser system. This work included exploring designs of large mode area optical fiber amplifiers for high energy systems as well as understanding the issues associated chirped pulse amplification in optical fiber amplifier systems.

  19. Determination of the uncertainty in assembly average burnup

    SciTech Connect (OSTI)

    Cacciapouti, R.J.; Lam, G.M.; Theriault, P.A.; Delmolino, P.M.

    1998-12-31T23:59:59.000Z

    Pressurized water reactors maintain records of the assembly average burnup for each fuel assembly at the plant. The reactor records are currently used by commercial reactor operators and vendors for (a) special nuclear accountability, (b) placement of spent fuel in storage pools, and (c) dry storage cask design and analysis. A burnup credit methodology has been submitted to the US Nuclear Regulatory Commission (NRC) by the US Department of Energy. In order to support this application, utilities are requested to provide burnup uncertainty as part of their reactor records. The collected burnup data are used for the development of a plant correction to the cask vendor supplied burnup credit loading curve. The objective of this work is to identify a feasible methodology for determining the 95/95 uncertainty in the assembly average burnup. Reactor records are based on the core neutronic analysis coupled with measured in-core detector data. The uncertainty of particular burnup records depends mainly on the uncertainty associated with the methods used to develop the records. The methodology adopted for this analysis utilizes current neutronic codes for the determination of the uncertainty in assembly average burnup.

  20. Region-based Dynamic Weighting Probabilistic Geocoding

    E-Print Network [OSTI]

    Li, Zhongxia

    2014-07-30T23:59:59.000Z

    it extremely important that geocoding results be as accurate as possible. Existing global-weighting approaches to geocoding assume spatial stationarity of addressing systems and address data characteristic distributions across space, resulting in heuristics...

  1. A Library for Locally Weighted Projection Regression

    E-Print Network [OSTI]

    Klanke, Stefan; Vijayakumar, Sethu; Schaal, Stefan

    2008-01-01T23:59:59.000Z

    In this paper we introduce an improved implementation of locally weighted projection regression (LWPR), a supervised learning algorithm that is capable of handling high-dimensional input data. As the key features, our ...

  2. Weight Perception Discrepancy Among Ethnically Diverse Youth

    E-Print Network [OSTI]

    Cromwell, Kate Duncan

    2012-10-19T23:59:59.000Z

    not feel they are, may be at risk for negative health conditions. Social Comparison Theory may provide a tool for evaluating identified discrepancies. Given that minorities have higher obesity rates, it is hypothesized that weight perception discrepancy...

  3. Fig. 3. Averaged PSF of a whole eye without immersion (a), compared to average eye with corneal immersion (b). The degradation using immersion is mostly caused by

    E-Print Network [OSTI]

    Ribak, Erez

    Fig. 3. Averaged PSF of a whole eye without immersion (a), compared to average eye with corneal of the complete eye was calculated by the averaged Zernike coefficients measured on 532 eyes. All PSFs were). The PSFs were calculated by averaging Zernike coefficients measured from 228 eyes. Both PSFs were

  4. Average Fe K-alpha emission from distant AGN

    E-Print Network [OSTI]

    A. Corral; M. J. Page; F. J. Carrera; X. Barcons; S. Mateos; J. Ebrero; M. Krumpe; A. Schwope; J. A. Tedds; M. G. Watson

    2008-10-02T23:59:59.000Z

    One of the most important parameters in the XRB (X-ray background) synthesis models is the average efficiency of accretion onto SMBH (super-massive black holes). This can be inferred from the shape of broad relativistic Fe lines seen in X-ray spectra of AGN (active galactic nuclei). Several studies have tried to measure the mean Fe emission properties of AGN at different depths with very different results. We compute the mean Fe emission from a large and representative sample of AGN X-ray spectra up to redshift ~ 3.5. We developed a method of computing the rest-frame X-ray average spectrum and applied it to a large sample (more than 600 objects) of type 1 AGN from two complementary medium sensitivity surveys based on XMM-Newton data, the AXIS and XWAS samples. This method makes use of medium-to-low quality spectra without needing to fit complex models to the individual spectra but with computing a mean spectrum for the whole sample. Extensive quality tests were performed by comparing real to simulated data, and a significance for the detection of any feature over an underlying continuum was derived. We detect with a 99.9% significance an unresolved Fe K-alpha emission line around 6.4 keV with an EW ~ 90 eV, but we find no compelling evidence of any significant broad relativistic emission line in the final average spectrum. Deviations from a power law around the narrow line are best represented by a reflection component arising from cold or low-ionization material. We estimate an upper limit for the EW of any relativistic line of 400 eV at a 3 sigma confidence level. We also marginally detect the so-called Iwasawa-Taniguchi effect on the EW for the unresolved emission line, which appears weaker for higher luminosity AGN.

  5. Table 14a. Average Electricity Prices, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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-14TableConferenceInstalled:a. Average Electricity

  6. Table 14b. Average Electricity Prices, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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-14TableConferenceInstalled:a. Average Electricityb.

  7. Table 14b. Average Electricity Prices, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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-14TableConferenceInstalled:a. Average

  8. Table 17. Average Price of U.S. Coke Exports

    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,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910. Average3.5.6.7.

  9. Table 19. Average Price of U.S. Coal Imports

    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,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Average Price

  10. Table 22. Average Price of U.S. Coke Imports

    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,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Average1.2.

  11. Plasma dynamics and a significant error of macroscopic averaging

    E-Print Network [OSTI]

    Marek A. Szalek

    2005-05-22T23:59:59.000Z

    The methods of macroscopic averaging used to derive the macroscopic Maxwell equations from electron theory are methodologically incorrect and lead in some cases to a substantial error. For instance, these methods do not take into account the existence of a macroscopic electromagnetic field EB, HB generated by carriers of electric charge moving in a thin layer adjacent to the boundary of the physical region containing these carriers. If this boundary is impenetrable for charged particles, then in its immediate vicinity all carriers are accelerated towards the inside of the region. The existence of the privileged direction of acceleration results in the generation of the macroscopic field EB, HB. The contributions to this field from individual accelerated particles are described with a sufficient accuracy by the Lienard-Wiechert formulas. In some cases the intensity of the field EB, HB is significant not only for deuteron plasma prepared for a controlled thermonuclear fusion reaction but also for electron plasma in conductors at room temperatures. The corrected procedures of macroscopic averaging will induce some changes in the present form of plasma dynamics equations. The modified equations will help to design improved systems of plasma confinement.

  12. Average Fe K-alpha emission from distant AGN

    E-Print Network [OSTI]

    Corral, A; Carrera, F J; Barcons, X; Mateos, S; Ebrero, J; Krumpe, M; Schwope, A; Tedds, J A; Watson, M G

    2008-01-01T23:59:59.000Z

    One of the most important parameters in the XRB (X-ray background) synthesis models is the average efficiency of accretion onto SMBH (super-massive black holes). This can be inferred from the shape of broad relativistic Fe lines seen in X-ray spectra of AGN (active galactic nuclei). Several studies have tried to measure the mean Fe emission properties of AGN at different depths with very different results. We compute the mean Fe emission from a large and representative sample of AGN X-ray spectra up to redshift ~ 3.5. We developed a method of computing the rest-frame X-ray average spectrum and applied it to a large sample (more than 600 objects) of type 1 AGN from two complementary medium sensitivity surveys based on XMM-Newton data, the AXIS and XWAS samples. This method makes use of medium-to-low quality spectra without needing to fit complex models to the individual spectra but with computing a mean spectrum for the whole sample. Extensive quality tests were performed by comparing real to simulated data, a...

  13. Yearly average performance of the principal solar collector types

    SciTech Connect (OSTI)

    Rabl, A.

    1981-01-01T23:59:59.000Z

    The results of hour-by-hour simulations for 26 meteorological stations are used to derive universal correlations for the yearly total energy that can be delivered by the principal solar collector types: flat plate, evacuated tubes, CPC, single- and dual-axis tracking collectors, and central receiver. The correlations are first- and second-order polynomials in yearly average insolation, latitude, and threshold (= heat loss/optical efficiency). With these correlations, the yearly collectible energy can be found by multiplying the coordinates of a single graph by the collector parameters, which reproduces the results of hour-by-hour simulations with an accuracy (rms error) of 2% for flat plates and 2% to 4% for concentrators. This method can be applied to collectors that operate year-around in such a way that no collected energy is discarded, including photovoltaic systems, solar-augmented industrial process heat systems, and solar thermal power systems. The method is also recommended for rating collectors of different type or manufacturer by yearly average performance, evaluating the effects of collector degradation, the benefits of collector cleaning, and the gains from collector improvements (due to enhanced optical efficiency or decreased heat loss per absorber surface). For most of these applications, the method is accurate enough to replace a system simulation.

  14. Outrunning major weight gain: a prospective study of 8,340consistent runners during 7 years of follow-up

    SciTech Connect (OSTI)

    Williams, Paul T.

    2006-01-06T23:59:59.000Z

    Background: Body weight increases with aging. Short-term,longitudinal exercise training studies suggest that increasing exerciseproduces acute weight loss, but it is not clear if the maintenance oflong-term, vigorous exercise attenuates age-related weight gain inproportion to the exercise dose. Methods: Prospective study of 6,119 maleand 2,221 female runners whose running distance changed less than 5 km/wkbetween their baseline and follow-up survey 7 years later. Results: Onaverage, men who ran modest (0-24 km/wk), intermediate (24-48 km/wk) orprolonged distances (>_48 km/wk) all gained weight throughage 64,however, those who ran ?48 km/wk had one-half the average annual weightgain of those who ran<24 km/wk. Age-related weight gain, and itsreduction by running, were both greater in younger than older men. Incontrast, men s gain in waist circumference with age, and its reductionby running, were the same in older and younger men. Women increased theirbody weight and waist and hip circumferences over time, regardless ofage, which was also reduced in proportion to running distance. In bothsexes, running did not attenuate weight gain uniformly, but ratherdisproportionately prevented more extreme increases. Conclusion: Men andwomen who remain vigorously active gain less weight as they age and thereduction is in proportion to the exercise dose.

  15. Physics 224A Solutions to Final Examination June 2007 The average score on the examination was 61.8, and the standard

    E-Print Network [OSTI]

    Thouless, David

    .8, and the standard deviation 14.2 1. Average 15.6, standard deviation 5.4 A glass bottle weighs 0.50 kg when empty are the volumes of the glass of which the bottle is made, and of the water inside the full bottle? The difference represent the weight of water displaced by the glass bottle. The volume of the glass must therefore be 0

  16. PART I: JOB DESCRIPTION Weighted Job Questionnaire (WJQ) Custom

    E-Print Network [OSTI]

    PART I: JOB DESCRIPTION Weighted Job Questionnaire (WJQ) Custom Department Name: Position Number WEIGHTED JOB QUESTIONNAIRE (WJQ) CUSTOM PARTI: JOB DESCRIPTION 1. POSITION IDENTIFICATION Department

  17. REVISITING THE SOLAR TACHOCLINE: AVERAGE PROPERTIES AND TEMPORAL VARIATIONS

    SciTech Connect (OSTI)

    Antia, H. M. [Tata Institute of Fundamental Research, Homi Bhabha Road, Mumbai 400005 (India); Basu, Sarbani, E-mail: antia@tifr.res.in, E-mail: sarbani.basu@yale.edu [Department of Astronomy, Yale University, P.O. Box 208101, New Haven, CT 06520-8101 (United States)

    2011-07-10T23:59:59.000Z

    The tachocline is believed to be the region where the solar dynamo operates. With over a solar cycle's worth of data available from the Michelson Doppler Imager and Global Oscillation Network Group instruments, we are in a position to investigate not merely the average structure of the solar tachocline, but also its time variations. We determine the properties of the tachocline as a function of time by fitting a two-dimensional model that takes latitudinal variations of the tachocline properties into account. We confirm that if we consider the central position of the tachocline, it is prolate. Our results show that the tachocline is thicker at latitudes higher than the equator, making the overall shape of the tachocline more complex. Of the tachocline properties examined, the transition of the rotation rate across the tachocline, and to some extent the position of the tachocline, show some temporal variations.

  18. Measurement strategies for estimating long-term average wind speeds

    SciTech Connect (OSTI)

    Ramsdell, J.V.; Houston, S.; Wegley, H.L.

    1980-10-01T23:59:59.000Z

    The uncertainty and bias in estimates of long-term average wind speeds inherent in continuous and intermittent measurement strategies are examined by simulating the application of the strategies to 40 data sets. Continuous strategies have smaller uncertainties for fixed duration measurement programs, but intermittent strategies make more efficient use of instruments and have smaller uncertainties for a fixed amount of instrument use. Continuous strategies tend to give biased estimates of the long-term annual mean speed unless an integral number of years' data is collected or the measurement program exceeds 3 years in duration. Intermittent strategies with three or more month-long measurement periods per year do not show any tendency toward bias.

  19. Obesity & Weight Loss Therapy Krakauer and Krakauer, J Obes Weight Loss Ther 2014, 4:2

    E-Print Network [OSTI]

    Krakauer, Nir Y.

    Obesity & Weight Loss Therapy Krakauer and Krakauer, J Obes Weight Loss Ther 2014, 4:2 http the original author and source are credited. Keywords: Waist circumference; Body shape index; Obesity Introduction Obesity has historically been a sign of good health, except at the greatestexcess[1

  20. Breakdown of the Equivalence between Energy Content and Weight in a Weak Gravitational Field for a Quantum Body

    E-Print Network [OSTI]

    Andrei Lebed

    2012-05-14T23:59:59.000Z

    It is shown that weight operator of a composite quantum body in a weak external gravitational field in the post-Newtonian approximation of the General Relativity does not commute with its energy operator, taken in the absence of the field. Nevertheless, the weak equivalence between the expectations values of weight and energy is shown to survive at a macroscopic level for stationary quantum states for the simplest composite quantum body - a hydrogen atom. Breakdown of the weak equivalence between weight and energy at a microscopic level for stationary quantum states can be experimentally detected by studying unusual electromagnetic radiation, emitted by the atoms, supported and moved in the Earth gravitational field with constant velocity, using spacecraft or satellite. For superpositions of stationary quantum states, a breakdown of the above mentioned equivalence at a macroscopic level leads to time dependent oscillations of the expectation values of weight, where the equivalence restores after averaging over time procedure.

  1. Method for fabricating light weight carbon-bonded carbon fiber composites

    DOE Patents [OSTI]

    Wrenn, Jr., George E. (Clinton, TN); Abbatiello, Leonard A. (Oak Ridge, TN); Lewis, Jr., John (Oak Ridge, TN)

    1989-01-01T23:59:59.000Z

    Ultralight carbon-bonded carbon fiber composites of densities in the range of about 0.04 to 0.10 grams per cubic centimeter are fabricated by forming an aqueous slurry of carbonaceous fibers which include carbonized fibers and 0-50 weight percent fugitive fibers and a particulate thermosetting resin precursor. The slurry is brought into contact with a perforated mandrel and the water is drained from the slurry through the perforations at a controlled flow rate of about 0.03 to 0.30 liters per minutes per square inch of mandrel surface. The deposited billet of fibers and resin precursor is heated to cure the resin precursor to bind the fibers together, removed from the mandrel, and then the resin and fugitive fibers, if any, are carbonized.

  2. Method for fabricating light weight carbon-bonded carbon fiber composites

    DOE Patents [OSTI]

    Wrenn, G.E. Jr.; Abbatiello, L.A.; Lewis, J. Jr.

    1987-06-17T23:59:59.000Z

    The invention is directed to the fabrication of ultralight carbon- bonded carbon fiber composites of densities in the range of about 0. 04 to 0.10 grams per cubic centimeter. The composites are fabricated by forming an aqueous slurry of carbonaceous fibers which include carbonized fibers and 0-50 weight percent fugitive fibers and a particulate thermosetting resin precursor. The slurry is brought into contact with a perforated mandrel and the water is drained from the slurry through the perforations at a controlled flow rate of about 0. 03 to 0.30 liters per minutes per square inch of a mandrel surface. The deposited billet of fibers and resin precursor is heated to cure the resin precursor to bind the fibers together, removed from the mandrel, and then the resin and fugitive fibers, if any, are carbonized.

  3. 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

  4. Weighted median of the data in solving least absolute

    E-Print Network [OSTI]

    Scitovski, Rudolf

    is illustrated by an example of hourly natural gas consumption forecast. Key words. median, weighted median

  5. Manipulation of Weighted Voting Games and the Effect of Quota

    E-Print Network [OSTI]

    Allan, Vicki H.

    for measuring voters' power in weighted voting games. We consider two methods of manipulating weighted voting of manipulators to have more power over the outcomes of the games. We evaluate the extent of susceptibility, Weighted voting games, Manipulation, Annexation, Merging, Power indices. 1 Introduction Weighted voting

  6. Dosimetry in Mammography: Average Glandular Dose Based on Homogeneous Phantom

    SciTech Connect (OSTI)

    Benevides, Luis A. [Naval Sea Systems Command,1333 Isaac Hull Avenue, Washington Navy Yard, DC 20376 (United States); Hintenlang, David E. [University of Florida, 202 Nuclear Sciences Center, P.O. Box 1183, Gainesville Florida 32611 (United States)

    2011-05-05T23:59:59.000Z

    The objective of this study was to demonstrate that a clinical dosimetry protocol that utilizes a dosimetric breast phantom series based on population anthropometric measurements can reliably predict the average glandular dose (AGD) imparted to the patient during a routine screening mammogram. AGD was calculated using entrance skin exposure and dose conversion factors based on fibroglandular content, compressed breast thickness, mammography unit parameters and modifying parameters for homogeneous phantom (phantom factor), compressed breast lateral dimensions (volume factor) and anatomical features (anatomical factor). The patient fibroglandular content was evaluated using a calibrated modified breast tissue equivalent homogeneous phantom series (BRTES-MOD) designed from anthropomorphic measurements of a screening mammography population and whose elemental composition was referenced to International Commission on Radiation Units and Measurements Report 44 and 46 tissues. The patient fibroglandular content, compressed breast thickness along with unit parameters and spectrum half-value layer were used to derive the currently used dose conversion factor (DgN). The study showed that the use of a homogeneous phantom, patient compressed breast lateral dimensions and patient anatomical features can affect AGD by as much as 12%, 3% and 1%, respectively. The protocol was found to be superior to existing methodologies. The clinical dosimetry protocol developed in this study can reliably predict the AGD imparted to an individual patient during a routine screening mammogram.

  7. Long-term average performance benefits of parabolic trough improvements

    SciTech Connect (OSTI)

    Gee, R.; Gaul, H.W.; Kearney, D.; Rabl, A.

    1980-03-01T23:59:59.000Z

    Improved parabolic trough concentrating collectors will result from better design, improved fabrication techniques, and the development and utilization of improved materials. The difficulty of achieving these improvements varies as does their potential for increasing parabolic trough performance. The purpose of this analysis is to quantify the relative merit of various technology advancements in improving the long-term average performance of parabolic trough concentrating collectors. The performance benefits of improvements are determined as a function of operating temperature for north-south, east-west, and polar mounted parabolic troughs. The results are presented graphically to allow a quick determination of the performance merits of particular improvements. Substantial annual energy gains are shown to be attainable. Of the improvements evaluated, the development of stable back-silvered glass reflective surfaces offers the largest performance gain for operating temperatures below 150/sup 0/C. Above 150/sup 0/C, the development of trough receivers that can maintain a vacuum is the most significant potential improvement. The reduction of concentrator slope errors also has a substantial performance benefit at high operating temperatures.

  8. High average power magnetic modulator for copper lasers

    SciTech Connect (OSTI)

    Cook, E.G.; Ball, D.G.; Birx, D.L.; Branum, J.D.; Peluso, S.E.; Langford, M.D.; Speer, R.D.; Sullivan, J.R.; Woods, P.G.

    1991-06-14T23:59:59.000Z

    Magnetic compression circuits show the promise of long life for operation at high average powers and high repetition rates. When the Atomic Vapor Laser Isotope Separation (AVLIS) Program at Lawrence Livermore National Laboratory needed new modulators to drive their higher power copper lasers in the Laser Demonstration Facility (LDF), existing technology using thyratron switched capacitor inversion circuits did not meet the goal for long lifetimes at the required power levels. We have demonstrated that magnetic compression circuits can achieve this goal. Improving thyratron lifetime is achieved by increasing the thyratron conduction time, thereby reducing the effect of cathode depletion. This paper describes a three stage magnetic modulator designed to provide a 60 kV pulse to a copper laser at a 4. 5 kHz repetition rate. This modulator operates at 34 kW input power and has exhibited MTBF of {approx}1000 hours when using thyratrons and even longer MTBFs with a series of stack of SCRs for the main switch. Within this paper, the electrical and mechanical designs for the magnetic compression circuits are discussed as are the important performance parameters of lifetime and jitter. Ancillary circuits such as the charge circuit and reset circuit are shown. 8 refs., 5 figs., 1 tab.

  9. Development of a weighted-average estimator from a maximum-likelihood estimator and an instrumental-variable estimator in a structural model

    E-Print Network [OSTI]

    Gruben, David Christopher

    1987-01-01T23:59:59.000Z

    , is written as mx y Ab Sou 1hl zz mx x ? Ab?' S?? (3. 2) and we will now spend some time explaining its form. Write a = (1, ? P&) and assume an independent estimator of Z, S?, is avail- able. Fuller (1981) shows that maximizing the likelihood equations... ? z, + u? t = 1, 2, . . . , a?s' = 1, 2, 3, . . . , b? (2. 1c) The total number of observations, n, is equal to a?b?. The experimenter has available an instrumental variable for the unobservable ze =&a+sr&W, +re, t=1, 2, . . . , a?. (2. 1d...

  10. Exploring Weight Identity: An Examination of the Cognitive, Affective, and Behavioral Components of Weight

    E-Print Network [OSTI]

    Asbury, Mary Elizabeth

    2011-04-20T23:59:59.000Z

    The current study sought to expand social identity theory (Tajfel, 1978; Tajfel & Turner, 1979) to include the concept of weight. Previous research has shown that individuals have social identities associated with age ...

  11. Nonlocal effective-average-action approach to crystalline phantom membranes

    SciTech Connect (OSTI)

    Hasselmann, N. [Max Planck Institute for Solid State Research, Heisenbergstrasse 1, D-70569 Stuttgart (Germany); International Institute of Physics, Universidade Federal do Rio Grande do Norte, 59072-970, Natal, RN (Brazil); Braghin, F. L. [International Institute of Physics, Universidade Federal do Rio Grande do Norte, 59072-970, Natal, RN (Brazil); Instituto de Fisica, Universidade Federal de Goias, P. B. 131, Campus II, 74001-970, Goiania, GO (Brazil)

    2011-03-15T23:59:59.000Z

    We investigate the properties of crystalline phantom membranes, at the crumpling transition and in the flat phase, using a nonperturbative renormalization group approach. We avoid a derivative expansion of the effective average action and instead analyze the full momentum dependence of the elastic coupling functions. This leads to a more accurate determination of the critical exponents and further yields the full momentum dependence of the correlation functions of the in-plane and out-of-plane fluctuation. The flow equations are solved numerically for D=2 dimensional membranes embedded in a d=3 dimensional space. Within our approach we find a crumpling transition of second order which is characterized by an anomalous exponent {eta}{sub c}{approx_equal}0.63(8) and the thermal exponent {nu}{approx_equal}0.69. Near the crumpling transition the order parameter of the flat phase vanishes with a critical exponent {beta}{approx_equal}0.22. The flat phase anomalous dimension is {eta}{sub f}{approx_equal}0.85 and the Poisson's ratio inside the flat phase is found to be {sigma}{sub f}{approx_equal}-1/3. At the crumpling transition we find a much larger negative value of the Poisson's ratio {sigma}{sub c}{approx_equal}-0.71(5). We discuss further in detail the different regimes of the momentum dependent fluctuations, both in the flat phase and in the vicinity of the crumpling transition, and extract the crossover momentum scales which separate them.

  12. Replication regulates volume weighting in quantum cosmology

    SciTech Connect (OSTI)

    Hartle, James [Department of Physics, University of California, Santa Barbara, California 93106 (United States); Hertog, Thomas [APC, UMR 7164 (CNRS, Universite Paris 7), 10 rue A.Domon et L.Duquet, 75205 Paris (France) and Intl Solvay Institutes, Boulevard du Triomphe, ULB-C.P. 231, 1050 Brussels (Belgium)

    2009-09-15T23:59:59.000Z

    Probabilities for observations in cosmology are conditioned both on the Universe's quantum state and on local data specifying the observational situation. We show the quantum state defines a measure for prediction through such conditional probabilities that is well-behaved for spatially large or infinite universes when the probabilities that our data are replicated are taken into account. In histories where our data are rare volume weighting connects top-down probabilities conditioned on both the data and the quantum state to the bottom-up probabilities conditioned on the quantum state alone. We apply these principles to a calculation of the number of inflationary e-folds in a homogeneous, isotropic minisuperspace model with a single scalar field moving in a quadratic potential. We find that volume weighting is justified and the top-down probabilities favor a large number of e-folds, hereby predicting the curvature of our Universe at the present time to be approximately zero.

  13. Information weights of nucleotides in DNA sequences

    E-Print Network [OSTI]

    M. R. Dudek; S. Cebrat; M. Kowalczuk; P. Mackiewicz; A. Nowicka; D. Mackiewicz; M. Dudkiewicz

    2003-01-21T23:59:59.000Z

    The coding sequence in DNA molecule is considered as a message to be transferred to receiver, the proteins, through a noisy information channel and each nucleotide is assigned a respective information weight. With the help of the nucleotide substitution matrix we estimated the lower bound of the amount of information carried out by nucleotides which is not subject of mutations. We used the calculated weights to reconstruct k-oligomers of genes from the Borrelia burgdorferi genome. We showed, that to this aim there is sufficient a simple rule, that the number of bits of the carried information cannot exceed some threshold value. The method introduced by us is general and applies to every genome.

  14. Degradation of the molecular weight and nitrate ester content of cellulose nitrate on thermal aging. [PBX-9404

    SciTech Connect (OSTI)

    Leider, H R

    1981-06-01T23:59:59.000Z

    Changes in molecular weight and nitrate ester content for cellulose nitrate (NC), either pure or as a constituent of PBX-9404, were determined as a function of time and temperature. Changes in the number-averaged molecular weight, M/sub n/, are described by the simple theory of random chain scission, and M/sub n/ is found to correlate well with nitrate ester loss. Significant differences are seen between NC aged in the isolated condition and aged as the binder in PBX-9404.

  15. LTB universes as alternatives to dark energy: does positive averaged acceleration imply positive cosmic acceleration?

    E-Print Network [OSTI]

    Antonio Enea Romano

    2007-01-27T23:59:59.000Z

    We show that positive averaged acceleration obtained in LTB models through spatial averaging can require integration over a region beyond the event horizon of the central observer. We provide an example of a LTB model with positive averaged acceleration in which the luminosity distance does not contain information about the entire spatially averaged region, making the averaged acceleration unobservable. Since the cosmic acceleration is obtained from fitting the observed luminosity distance to a FRW model we conclude that in general a positive averaged acceleration in LTB models does not imply a positive FRW cosmic acceleration.

  16. LTB universes as alternatives to dark energy: does positive averaged acceleration imply positive cosmic acceleration?

    E-Print Network [OSTI]

    Romano, A E

    2006-01-01T23:59:59.000Z

    We show that positive averaged acceleration obtained in LTB models through spatial averaging can require integration over a region beyond the event horizon of the central observer. We provide an example of a LTB model with positive averaged acceleration in which the luminosity distance does not contain information about the entire spatially averaged region, making the averaged acceleration unobservable. Since the cosmic acceleration is obtained from fitting the observed luminosity distance to a FRW model we conclude that in general a positive averaged acceleration in LTB models does not imply a positive FRW cosmic acceleration.

  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. Light-weight analyzer for odor recognition

    DOE Patents [OSTI]

    Vass, Arpad A; Wise, Marcus B

    2014-05-20T23:59:59.000Z

    The invention provides a light weight analyzer, e.g., detector, capable of locating clandestine graves. The detector utilizes the very specific and unique chemicals identified in the database of human decompositional odor. This detector, based on specific chemical compounds found relevant to human decomposition, is the next step forward in clandestine grave detection and will take the guess-work out of current methods using canines and ground-penetrating radar, which have historically been unreliable. The detector is self contained, portable and built for field use. Both visual and auditory cues are provided to the operator.

  20. atomic weight values: Topics by E-print Network

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

    a sample of 10 100 atoms. Sumei Huang; Girish S. Agarwal 2015-01-10 3 Power laws and fractal behavior in nuclear stability, atomic weights and molecular weights Physics Websites...

  1. atomic weight determinations: Topics by E-print Network

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

    14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Power laws and fractal behavior in nuclear stability, atomic weights and molecular weights Physics Websites...

  2. Written emotional expression: Effects on weight loss and maintenance

    E-Print Network [OSTI]

    Hockemeyer, Jill Renee

    2007-10-16T23:59:59.000Z

    the negative effects of distress on weight loss and maintenance through improved emotional self-regulatory processes. This study examined the effects of expressive writing on weight regain, stress, and emotional eating among individuals who have recently lost...

  3. PARTI: JOB DESCRIPTION Weighted Job Questionnaire (WJQ) Custom

    E-Print Network [OSTI]

    PARTI: JOB DESCRIPTION Weighted Job Questionnaire (WJQ) Custom Meeting, Event and Conference UNIVERSITY & C.U.P.E., Local 3338 WEIGHTED JOB QUESTIONNAIRE (WJQ) CUSTOM PARTI: JOB DESCRIPTION 1. POSITION

  4. A weighted iterative algorithm for neuromagnetic imaging

    SciTech Connect (OSTI)

    Gorodnitsky, I. (Los Alamos National Lab., NM (United States) California Univ., San Diego, La Jolla, CA (United States)); George, J.S.; Schlitt, H.A.; Lewis, P.S. (Los Alamos National Lab., NM (United States))

    1992-01-01T23:59:59.000Z

    The goal of neuromagnetic source reconstruction is high resolution 3-D mapping of the current distribution within the brain. However, the neuromagnetic inverse problem is ill-posed and typically underdetermined. The Moore-Penrose pseudoinverse provides a linear algebraic inverse calculation that simultaneously minimizes chisquare and the Euclidean norm of the component currents. Such minimum norm'' reconstructions tend to produce diffuse and superficial current distributions because voxels nearer the sensor array can account for more power in the data with less current than deeper voxels. We describe an algorithm that overcomes the bias of minimum norm procedures toward superficial solutions by using weights chosen to compensate for the distance dependence of magnetic signal strength. We also apply a Bayesian weighting strategy in an iterative pseudoinverse computation, to address the bias of the linear estimator procedure toward diffuse solutions. This strategy produces a progressively more focal current distribution while accomodating distributed current sources, and appears to effectively reduce the problems associated with the under-determined linear system.

  5. A weighted iterative algorithm for neuromagnetic imaging

    SciTech Connect (OSTI)

    Gorodnitsky, I. [Los Alamos National Lab., NM (United States)]|[California Univ., San Diego, La Jolla, CA (United States); George, J.S.; Schlitt, H.A.; Lewis, P.S. [Los Alamos National Lab., NM (United States)

    1992-09-01T23:59:59.000Z

    The goal of neuromagnetic source reconstruction is high resolution 3-D mapping of the current distribution within the brain. However, the neuromagnetic inverse problem is ill-posed and typically underdetermined. The Moore-Penrose pseudoinverse provides a linear algebraic inverse calculation that simultaneously minimizes chisquare and the Euclidean norm of the component currents. Such ``minimum norm`` reconstructions tend to produce diffuse and superficial current distributions because voxels nearer the sensor array can account for more power in the data with less current than deeper voxels. We describe an algorithm that overcomes the bias of minimum norm procedures toward superficial solutions by using weights chosen to compensate for the distance dependence of magnetic signal strength. We also apply a Bayesian weighting strategy in an iterative pseudoinverse computation, to address the bias of the linear estimator procedure toward diffuse solutions. This strategy produces a progressively more focal current distribution while accomodating distributed current sources, and appears to effectively reduce the problems associated with the under-determined linear system.

  6. Fact #638: August 30, 2010 Average Expenditure for a New Car...

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

    8: August 30, 2010 Average Expenditure for a New Car Declines in Relation to Family Earnings Fact 638: August 30, 2010 Average Expenditure for a New Car Declines in Relation to...

  7. GOALS, EXPECTATIONS, AND SATISFACTION IN THE MAINTENANCE OF WEIGHT LOSS

    E-Print Network [OSTI]

    Chang, Olivia L.

    2009-08-19T23:59:59.000Z

    ......................................................................25 Satisfaction and Weight Loss 37 Measurement of Goals, Expectations, and Satisfaction with Weight Loss...............41 Goals, Expectations, and Satisfaction in the Treatment of Obesity 43 Limitations of Previous Research... of approximately 15-25% of initial weight in 2 to 4 months of treatment, but may also result in substantially greater weight regain than more conventional, calorie-restrictive diets (Wadden & Osei, 2002). Pharmacological interventions have been presented...

  8. S86 JUNE 2006| above-average precipitation totals for the year, caus-

    E-Print Network [OSTI]

    in Croatia and Bosnia-Herzegovina, but below average for June in Bulgaria. Rainfall totals in April and June

  9. Constrained Clustering with Minkowski Weighted Renato Cordeiro de Amorim

    E-Print Network [OSTI]

    Amorim, Renato Cordeiro de

    Constrained Clustering with Minkowski Weighted K-Means Renato Cordeiro de Amorim Department: renato@dcs.bbk.ac.uk Abstract--In this paper we introduce the Constrained Minkowski Weighted K-Means ratify the general superiority of using feature weighting in K-Means, particularly when applying

  10. The Complexity of Weighted Boolean #CSP , Sangxia Huang2

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    The Complexity of Weighted Boolean #CSP Modulo k Heng Guo1 , Sangxia Huang2 , Pinyan Lu3@gmail.com Abstract We prove a complexity dichotomy theorem for counting weighted Boolean CSP modulo k for any similar to the one for the complex weighted Boolean #CSP, found by [Cai, Lu and Xia, STOC 2009]. Then we

  11. Abstract--This paper describes an approach for choosing and updating measurement weights used in weighted least squares

    E-Print Network [OSTI]

    -- Auto Tuning; Measurement Weights; Power System State Estimation; Random Error Variances. I is not always true. M is used for estimating measurement e1 Abstract--This paper describes an approach for choosing and updating measurement weights used

  12. Northeastern regional timber stumpage prices: 1961-91. Forest Service research paper (Final)

    SciTech Connect (OSTI)

    Sendak, P.E.

    1994-01-01T23:59:59.000Z

    State and regional weighted averages were calculated for timber stumpage prices for the northeastern region. The weighting factor was the timber volume harvested. The regional price series for hardwood sawtimber, softwood sawtimber, hardwood pulpwood, and softwood pulpwood are reported for the 31-year period, 1961 to 1991. Hardwood sawtimber prices increased at the average annual rate of 10.3 percent (nominal), softwood sawtimber at 6.4 percent, hardwood pulpwood at 6.5 percent, and softwood pulpwood at 5.3 percent. Inflation, as measured by the All-commodity, Producer Price Index, averaged 5.7 percent per year over the 31-year period.

  13. Volume-weighted measure for eternal inflation

    SciTech Connect (OSTI)

    Winitzki, Sergei [Department of Physics, Ludwig-Maximilians University, Munich (Germany) and Yukawa Institute of Theoretical Physics, Kyoto University, Kyoto (Japan)

    2008-08-15T23:59:59.000Z

    I propose a new volume-weighted probability measure for cosmological 'multiverse' scenarios involving eternal inflation. The 'reheating-volume (RV) cutoff' calculates the distribution of observable quantities on a portion of the reheating hypersurface that is conditioned to be finite. The RV measure is gauge-invariant, does not suffer from the 'youngness paradox', and is independent of initial conditions at the beginning of inflation. In slow-roll inflationary models with a scalar inflaton, the RV-regulated probability distributions can be obtained by solving nonlinear diffusion equations. I discuss possible applications of the new measure to 'landscape' scenarios with bubble nucleation. As an illustration, I compute the predictions of the RV measure in a simple toy landscape.

  14. Semi-automatic delineation using weighted CT-MRI registered images for radiotherapy of nasopharyngeal cancer

    SciTech Connect (OSTI)

    Fitton, I. [European Georges Pompidou Hospital, Department of Radiology, 20 rue Leblanc, 75015, Paris (France); Cornelissen, S. A. P. [Image Sciences Institute, UMC, Department of Radiology, P.O. Box 85500, 3508 GA Utrecht (Netherlands); Duppen, J. C.; Rasch, C. R. N.; Herk, M. van [The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Department of Radiotherapy, Plesmanlaan 121, 1066 CX Amsterdam (Netherlands); Steenbakkers, R. J. H. M. [University Medical Center Groningen, Department of Radiation Oncology, Hanzeplein 1, 9713 GZ Groningen (Netherlands); Peeters, S. T. H. [UZ Gasthuisberg, Herestraat 49, 3000 Leuven, Belgique (Belgium); Hoebers, F. J. P. [Maastricht University Medical Center, Department of Radiation Oncology (MAASTRO clinic), GROW School for Oncology and Development Biology Maastricht, 6229 ET Maastricht (Netherlands); Kaanders, J. H. A. M. [UMC St-Radboud, Department of Radiotherapy, Geert Grooteplein 32, 6525 GA Nijmegen (Netherlands); Nowak, P. J. C. M. [ERASMUS University Medical Center, Department of Radiation Oncology,Groene Hilledijk 301, 3075 EA Rotterdam (Netherlands)

    2011-08-15T23:59:59.000Z

    Purpose: To develop a delineation tool that refines physician-drawn contours of the gross tumor volume (GTV) in nasopharynx cancer, using combined pixel value information from x-ray computed tomography (CT) and magnetic resonance imaging (MRI) during delineation. Methods: Operator-guided delineation assisted by a so-called ''snake'' algorithm was applied on weighted CT-MRI registered images. The physician delineates a rough tumor contour that is continuously adjusted by the snake algorithm using the underlying image characteristics. The algorithm was evaluated on five nasopharyngeal cancer patients. Different linear weightings CT and MRI were tested as input for the snake algorithm and compared according to contrast and tumor to noise ratio (TNR). The semi-automatic delineation was compared with manual contouring by seven experienced radiation oncologists. Results: A good compromise for TNR and contrast was obtained by weighing CT twice as strong as MRI. The new algorithm did not notably reduce interobserver variability, it did however, reduce the average delineation time by 6 min per case. Conclusions: The authors developed a user-driven tool for delineation and correction based a snake algorithm and registered weighted CT image and MRI. The algorithm adds morphological information from CT during the delineation on MRI and accelerates the delineation task.

  15. Weighted power counting and chiral dimensional regularization

    E-Print Network [OSTI]

    Damiano Anselmi

    2014-06-27T23:59:59.000Z

    We define a modified dimensional-regularization technique that overcomes several difficulties of the ordinary technique, and is specially designed to work efficiently in chiral and parity violating quantum field theories, in arbitrary dimensions greater than 2. When the dimension of spacetime is continued to complex values, spinors, vectors and tensors keep the components they have in the physical dimension, therefore the $\\gamma $ matrices are the standard ones. Propagators are regularized with the help of evanescent higher-derivative kinetic terms, which are of the Majorana type in the case of chiral fermions. If the new terms are organized in a clever way, weighted power counting provides an efficient control on the renormalization of the theory, and allows us to show that the resulting chiral dimensional regularization is consistent to all orders. The new technique considerably simplifies the proofs of properties that hold to all orders, and makes them suitable to be generalized to wider classes of models. Typical examples are the renormalizability of chiral gauge theories and the Adler-Bardeen theorem. The difficulty of explicit computations, on the other hand, may increase.

  16. Weight Distribution of a Class of Binary Linear Block Codes Formed from RCPC Codes

    E-Print Network [OSTI]

    Shen, Yushi Dr.; Cosman, Pamela C; Milstein, Laurence B

    2006-01-01T23:59:59.000Z

    On the weight distribution of terminated convolutionalViterbi, On the weight distribution of linear block codes9, SEPTEMBER 2005 Weight Distribution of a Class of Binary

  17. 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

  18. 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

  19. Plan averaging for multicriteria navigation of sliding window IMRT and VMAT

    SciTech Connect (OSTI)

    Craft, David, E-mail: dcraft@partners.org; Papp, Dvid; Unkelbach, Jan [Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 (United States)] [Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114 (United States)

    2014-02-15T23:59:59.000Z

    Purpose: To describe a method for combining sliding window plans [intensity modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT)] for use in treatment plan averaging, which is needed for Pareto surface navigation based multicriteria treatment planning. Methods: The authors show that by taking an appropriately defined average of leaf trajectories of sliding window plans, the authors obtain a sliding window plan whose fluence map is the exact average of the fluence maps corresponding to the initial plans. In the case of static-beam IMRT, this also implies that the dose distribution of the averaged plan is the exact dosimetric average of the initial plans. In VMAT delivery, the dose distribution of the averaged plan is a close approximation of the dosimetric average of the initial plans. Results: The authors demonstrate the method on three Pareto optimal VMAT plans created for a demanding paraspinal case, where the tumor surrounds the spinal cord. The results show that the leaf averaged plans yield dose distributions that approximate the dosimetric averages of the precomputed Pareto optimal plans well. Conclusions: The proposed method enables the navigation of deliverable Pareto optimal plans directly, i.e., interactive multicriteria exploration of deliverable sliding window IMRT and VMAT plans, eliminating the need for a sequencing step after navigation and hence the dose degradation that is caused by such a sequencing step.

  20. High-average-power, diode-pumped solid state lasers for energy and industrial applications

    SciTech Connect (OSTI)

    Krupke, W.F.

    1994-03-02T23:59:59.000Z

    Progress at LLNL in the development high-average-power diode-pumped solid state lasers is summarized, including the development of enabling technologies.

  1. E-Print Network 3.0 - area average temperature Sample Search...

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

    and Fisheries Sciences Collection: Environmental Sciences and Ecology 24 The Greenhouse Effect Temperature Equilibrium Summary: - it is neither heating nor cooling on average....

  2. 2-D weighted least-squares phase unwrapping

    DOE Patents [OSTI]

    Ghiglia, Dennis C. (Placitas, NM); Romero, Louis A. (Albuquerque, NM)

    1995-01-01T23:59:59.000Z

    Weighted values of interferometric signals are unwrapped by determining the least squares solution of phase unwrapping for unweighted values of the interferometric signals; and then determining the least squares solution of phase unwrapping for weighted values of the interferometric signals by preconditioned conjugate gradient methods using the unweighted solutions as preconditioning values. An output is provided that is representative of the least squares solution of phase unwrapping for weighted values of the interferometric signals.

  3. affects body weight: Topics by E-print Network

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

    weight perceptions may be influ- enced by food habits and food environments, nutritional knowledge, cultural norms and expectations and mass media Mikolajczyk, Rafael T; Maxwell,...

  4. FORCE RECONSTRUCTION USING THE SUM OF WEIGHTED ACCELERATIONS

    Office of Scientific and Technical Information (OSTI)

    coordinates. This methodof determiningthe SWAT weights would Now recall the definition of the SWAT dof, equation be equivalentto inverting the mode-shape matrix to...

  5. 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.

  6. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,

  7. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado"

  8. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado"Kentucky"

  9. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,

  10. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana"

  11. GRADE NUMBER OF CREDITS FACTOR QUALITY POINTS HOW TO COMPUTE A GRADE POINT AVERAGE

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    .00 = __________ TOTALS: _________ __________ CREDITS QUALITY PTS. Divide total credits into total quality pointsGRADE NUMBER OF CREDITS FACTOR QUALITY POINTS HOW TO COMPUTE A GRADE POINT AVERAGE A _________ x 4 and the result is the grade point average (GPA). QUALITY PTS. = GPA ____________ = CREDITS

  12. Characterization of the optimal trajectories for the averaged dynamics associated to singularly perturbed control systems

    E-Print Network [OSTI]

    Boyer, Edmond

    trajectory of the averaged system. Key words: Optimal control, Singular perturbations, occupational measures is to study singularly perturbed control systems. Firstly, we provide linearized formulation version and sufficient conditions in order to identify the optimal trajectory of the averaged system. Linear programming

  13. Tradeoffs and Average-Case Equilibria in Selfish Routing Martin Hoefer

    E-Print Network [OSTI]

    Reiterer, Harald

    the expected price of anarchy of the game for various social cost functions. For total latency social cost cost in polyno- mial time. Furthermore, our analyses of the expected prices are average-case analyses, 2007 Abstract We consider the price of selfish routing in terms of tradeoffs and from an average

  14. A spatiotemporal auto-regressive moving average model for solar radiation

    E-Print Network [OSTI]

    Stone, J. V.

    A spatiotemporal auto-regressive moving average model for solar radiation C.A. Glasbey and D 1). Solar radiation, averaged over ten minute intervals, was recorded at each site for two years otherwise there are too many parameters to be estimated. As we wish to simulate solar radiation on a network

  15. Variances of the Average Numbers of Nucleotide Substitutions Within and Between Populations'

    E-Print Network [OSTI]

    Nei, Masatoshi

    Variances of the Average Numbers of Nucleotide Substitutions Within and Between Populations the variances of nucleotide diversity within pop- ulations and of nucleotide divergence between populations of the extent of DNA polymorphism is nucleotide diversity (z), which is defined as the average number of either

  16. Volume-averaged macroscopic equation for fluid flow in moving porous media

    E-Print Network [OSTI]

    Wang, Liang; Guo, Zhaoli; Mi, Jianchun

    2014-01-01T23:59:59.000Z

    Darcy's law and the Brinkman equation are two main models used for creeping fluid flows inside moving permeable particles. For these two models, the time derivative and the nonlinear convective terms of fluid velocity are neglected in the momentum equation. In this paper, a new momentum equation including these two terms are rigorously derived from the pore-scale microscopic equations by the volume-averaging method, which can reduces to Darcy's law and the Brinkman equation under creeping flow conditions. Using the lattice Boltzmann equation method, the macroscopic equations are solved for the problem of a porous circular cylinder moving along the centerline of a channel. Galilean invariance of the equations are investigated both with the intrinsic phase averaged velocity and the phase averaged velocity. The results demonstrate that the commonly used phase averaged velocity cannot serve as the superficial velocity, while the intrinsic phase averaged velocity should be chosen for porous particulate systems.

  17. A Nonempirical Test on the Weight of Pseudorandom Number Generators

    E-Print Network [OSTI]

    Matsumoto, Makoto

    A Nonempirical Test on the Weight of Pseudorandom Number Generators Makoto Matsumoto1 and Takuji introduce a theoretical test, named weight discrepancy test, on pseu- dorandom number generators. This test selected. This test can be performed for most generators based on a linear recursion over the two

  18. Implementing Weighted Abduction in Markov Logic James Blythe

    E-Print Network [OSTI]

    Anderson, Richard

    Implementing Weighted Abduction in Markov Logic James Blythe USC ISI blythe@isi.edu Jerry R. Hobbs@cs.utexas.edu Abstract Abduction is a method for finding the best explanation for observations. Arguably the most advanced approach to abduction, especially for natural language processing, is weighted abduction, which

  19. Weighted Hypothesis Testing Larry Wasserman and Kathryn Roeder1

    E-Print Network [OSTI]

    loss remains nearly constant. specified weights, but minute power loss for poorly specified weights; and (ii) in the non-sparse case, under weak conditions, the worst case power loss for poorly specified the potential power loss. Figure 2 shows the non-sparse case. The plots on the left show the power as a function

  20. Weighted Parametric Operational Hydrology Forecasting Thomas E. Croley II1

    E-Print Network [OSTI]

    1 Weighted Parametric Operational Hydrology Forecasting Thomas E. Croley II1 1 Great Lakes forecasts in operational hydrology builds a sample of possibilities for the future, of climate series from-parametric method can be extended into a new weighted parametric hydrological forecasting technique to allow

  1. Weighted Graph Cuts without Eigenvectors: A Multilevel Approach

    E-Print Network [OSTI]

    to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main different methods--in particular, a general weighted kernel k-means objective is mathematically equivalent multilevel algorithm removes this restriction by using kernel k-means to optimize weighted graph cuts

  2. A component GARCH model with time varying weights

    E-Print Network [OSTI]

    Nesterov, Yurii

    2007/19 A component GARCH model with time varying weights Luc Bauwens and Giuseppe Storti #12;CORE DISCUSSION PAPER 2007/19 A component GARCH model with time varying weights Luc BAUWENS1 and Giuseppe STORTI2 March2007 Abstract We present a novel GARCH model that accounts for time varying, state dependent

  3. Computing Symmetrized Weight Enumerators for Lifted Quadratic Residue Codes

    E-Print Network [OSTI]

    Duursma, Iwan M.

    Computing Symmetrized Weight Enumerators for Lifted Quadratic Residue Codes I. M. Duursma Dept for the computation of structural parameters for ring-linear codes. This article therefore presents a method to e?ciently compute weight enumerators of linear codes over primary integer residue rings. For the lifted QR-codes

  4. The Complexity of Weighted Boolean #CSP with Mixed Signs

    E-Print Network [OSTI]

    Bulatov, Andrei

    The Complexity of Weighted Boolean #CSP with Mixed Signs Andrei Bulatova , Martin Dyerb , Leslie constraint satisfaction problem (CSP), which corresponds to the case where all functions in have range {0, 1}. The problem we consider here is to compute the partition function of a given instance of weighted CSP; that is

  5. Characterizing Ideal Weighted Threshold Secret Amos Beimel1

    E-Print Network [OSTI]

    Beimel, Amos

    Characterizing Ideal Weighted Threshold Secret Sharing Amos Beimel1 , Tamir Tassa1,2 , and Enav Science, The Open University, Ra'anana, Israel. Abstract. Weighted threshold secret sharing was introduced by Shamir in his seminal work on secret sharing. In such settings, there is a set of users where each user

  6. Weighted modulated secret image sharing method Chien-Chang Chen

    E-Print Network [OSTI]

    Chen, Chaur-Chin

    Weighted modulated secret image sharing method Chien-Chang Chen Hsuan Chuang University Department-layered structure for grouping participants with different weights in a secret image sharing problem. Conventional secret im- age sharing methods suffer from truncation distortion, which is the difference between a pixel

  7. Improved performance of high average power semiconductor arrays for applications in diode pumped solid state lasers

    SciTech Connect (OSTI)

    Beach, R.; Emanuel, M.; Benett, W.; Freitas, B.; Ciarlo, D.; Carlson, N.; Sutton, S.; Skidmore, J.; Solarz, R.

    1994-01-01T23:59:59.000Z

    The average power performance capability of semiconductor diode laser arrays has improved dramatically over the past several years. These performance improvements, combined with cost reductions pursued by LLNL and others in the fabrication and packaging of diode lasers, have continued to reduce the price per average watt of laser diode radiation. Presently, we are at the point where the manufacturers of commercial high average power solid state laser systems used in material processing applications can now seriously consider the replacement of their flashlamp pumps with laser diode pump sources. Additionally, a low cost technique developed and demonstrated at LLNL for optically conditioning the output radiation of diode laser arrays has enabled a new and scalable average power diode-end-pumping architecture that can be simply implemented in diode pumped solid state laser systems (DPSSL`s). This development allows the high average power DPSSL designer to look beyond the Nd ion for the first time. Along with high average power DPSSL`s which are appropriate for material processing applications, low and intermediate average power DPSSL`s are now realizable at low enough costs to be attractive for use in many medical, electronic, and lithographic applications.

  8. Averaged Energy Inequalities for Non-Minimally Coupled Classical Scalar Fields

    E-Print Network [OSTI]

    Lutz W. Osterbrink

    2006-12-11T23:59:59.000Z

    The stress-energy tensor for the non-minimally coupled scalar field is known not to satisfy the pointwise energy conditions, even on the classical level. We show, however, that local averages of the classical stress-energy tensor satisfy certain inequalities and give bounds for averages along causal geodesics. It is shown that in vacuum background spacetimes, ANEC and AWEC are satisfied. Furthermore we use our result to show that in the classical situation we have an analogue to the so called quantum interest conjecture. These results lay the foundations for averaged energy inequalities for the quantised non-minimally coupled fields.

  9. average power diode-pumped: Topics by E-print Network

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

    are required for numerous applications such as UV generation for lithography and pumping by a fiber- coupled diode bar1 generated 7-ps pulses with 4.5-W average power and...

  10. Reconstruction of ionization probabilities from spatially averaged data in N dimensions

    E-Print Network [OSTI]

    Stroahaber, James; Kolomenskii, A; Schuessler, Hans

    2010-07-06T23:59:59.000Z

    We present an analytical inversion technique, which can be used to recover ionization probabilities from spatially averaged data in an N-dimensional detection scheme. The solution is given as a power series in intensity. For this reason, we call...

  11. Social comparison test using women's subjective and physiological reactivity to thin and average size models

    E-Print Network [OSTI]

    Tamez, Jeannine Paola

    2009-05-15T23:59:59.000Z

    The current study examined the subjective and physiological reactivity to body image stimuli among females engaging in a social comparison task. Study I was conducted to select images of thin and average size models and neutral objects for Study...

  12. System average rates of U.S. investor-owned electric utilities : a statistical benchmark study

    E-Print Network [OSTI]

    Berndt, Ernst R.

    1995-01-01T23:59:59.000Z

    Using multiple regression methods, we have undertaken a statistical "benchmark" study comparing system average electricity rates charged by three California utilities with 96 other US utilities over the 1984-93 time period. ...

  13. Experiments with a time-dependent, zonally averaged, seasonal, enery balance climatic model

    E-Print Network [OSTI]

    Thompson, Starley Lee

    1977-01-01T23:59:59.000Z

    EXPERIMENTS WITH A TI&E-DEPENDENT, ZONALLY AVERAGED, SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the decree... of MASTER OF SCIENCE December 1977 Major Subject: Meteorology EXPERIMENTS WITH A TIME DEPENDENT~ ZONALLY AVERAGED~ SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Approved as to style and content by: (Chairman of Committee...

  14. Variation in the annual average radon concentration measured in homes in Mesa County, Colorado

    SciTech Connect (OSTI)

    Rood, A.S.; George, J.L.; Langner, G.H. Jr.

    1990-04-01T23:59:59.000Z

    The purpose of this study is to examine the variability in the annual average indoor radon concentration. The TMC has been collecting annual average radon data for the past 5 years in 33 residential structures in Mesa County, Colorado. This report is an interim report that presents the data collected up to the present. Currently, the plans are to continue this study in the future. 62 refs., 3 figs., 12 tabs.

  15. Experiments with a time-dependent, zonally averaged, seasonal, enery balance climatic model

    E-Print Network [OSTI]

    Thompson, Starley Lee

    1977-01-01T23:59:59.000Z

    EXPERIMENTS WITH A TI&E-DEPENDENT, ZONALLY AVERAGED, SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the decree... of MASTER OF SCIENCE December 1977 Major Subject: Meteorology EXPERIMENTS WITH A TIME DEPENDENT~ ZONALLY AVERAGED~ SEASONAL, ENERGY BALANCE CLIMATIC MODEL A Thesis by STARLEY LEE THOMPSON Approved as to style and content by: (Chairman of Committee...

  16. Nongeneralizability of Tsallis Entropy by means of Kolmogorov-Nagumo averages under pseudo-additivity

    E-Print Network [OSTI]

    Ambedkar Dukkipati; M. Narsimha Murty; Shalabh Bhatnagar

    2005-05-30T23:59:59.000Z

    As additivity is a characteristic property of the classical information measure, Shannon entropy, pseudo-additivity is a characteristic property of Tsallis entropy. Renyi generalized Shannon entropy by means of Kolmogorov-Nagumo averages, by imposing additivity as a constraint.In this paper we show that there exists no generalization for Tsallis entropy, by means of Kolmogorov-Nagumo averages, which preserves the pseudo-additivity.

  17. Average over energy effect of parity nonconservation in neutron scattering on heavy nuclei

    E-Print Network [OSTI]

    O. P. Sushkov

    1996-03-05T23:59:59.000Z

    Using semiclassical approximation we consider parity nonconservation (PNC) averaged over compound resonances. We demonstrate that the result of the averaging crucially depends on the properties of residual strong nucleon-nucleon interaction. Natural way to elucidate this problem is to investigate experimentally PNC spin rotation with nonmonachromatic neutron beam: $E \\sim \\Delta E \\sim 1MeV$. Value of the effect can reach $\\psi \\sim 10^{-5}-10^{-4}$ per mean free path.

  18. 100 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I, VOL. XX, NO. Y, MONTH 2005 Simultaneous Peak and Average Power

    E-Print Network [OSTI]

    Mohanty, Saraju P.

    power, power fluctuation, average power and total energy are equally design constraints. In this work by the average power (energy). The increase in energy and average power consumption, increases the energy bill ( ). As the energy (average power) consumption increases, it necessitates the increase in generation which in turn

  19. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011, 2010,Jersey"RhodeVirginia"West

  20. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011, 2010,Jersey"RhodeVirginia"WestArizona"

  1. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado" "Sector", 2013, 2012, 2011, 2010,

  2. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado" "Sector", 2013, 2012, 2011,

  3. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado" "Sector", 2013, 2012,

  4. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado" "Sector", 2013, 2012,District of

  5. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado" "Sector", 2013, 2012,District

  6. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado" "Sector", 2013,

  7. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado" "Sector", 2013,Hawaii"

  8. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado" "Sector", 2013,Hawaii"Idaho"

  9. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado" "Sector",

  10. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado" "Sector",Indiana"

  11. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado" "Sector",Indiana"Iowa"

  12. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado"Kentucky" "Sector", 2013, 2012,

  13. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado"Kentucky" "Sector", 2013,

  14. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado"Kentucky" "Sector",

  15. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado"Kentucky" "Sector",Maryland"

  16. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado"Kentucky"Michigan" "Sector",

  17. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado"Kentucky"Michigan"

  18. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012, 2011,Colorado"Kentucky"Michigan"Mississippi"

  19. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector", 2013, 2012, 2011, 2010, 2009, 2008,

  20. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector", 2013, 2012, 2011, 2010, 2009,

  1. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector", 2013, 2012, 2011, 2010,

  2. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector", 2013, 2012, 2011,

  3. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector", 2013, 2012, 2011,Jersey"

  4. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector", 2013, 2012,

  5. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector", 2013, 2012,Carolina"

  6. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector", 2013,

  7. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector", 2013,Ohio" "Sector",

  8. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector", 2013,Ohio"

  9. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector", 2013,Ohio"Oregon"

  10. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector",

  11. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector",Rhode Island"

  12. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector",Rhode Island"Carolina"

  13. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector",Rhode

  14. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector",RhodeTennessee"

  15. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana" "Sector",RhodeTennessee"Texas"

  16. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana"Utah" "Sector", 2013, 2012, 2011, 2010,

  17. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana"Utah" "Sector", 2013, 2012, 2011,

  18. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana"Utah" "Sector", 2013, 2012,

  19. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana"Utah" "Sector", 2013,

  20. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana"Utah" "Sector", 2013,West Virginia"

  1. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana"Utah" "Sector", 2013,West

  2. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, 2012,Montana"Utah" "Sector", 2013,WestWyoming"

  3. Table N8.2. Average Prices of Purchased Energy Sources, 1998

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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..1.1..3.3.1.2.2.

  4. Table N8.3. Average Prices of Purchased Electricity, Natural Gas, and Steam,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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

  5. Approximating the Minimum Spanning Tree Weight in Sublinear Time

    E-Print Network [OSTI]

    Trevisan, Luca

    Approximating the Minimum Spanning Tree Weight in Sublinear Time Bernard Chazelle #3; Ronitt a parameter 0 minimum spanning tree- components algorithm picks O(1=#15; 2 ) vertices in the graph and then grows \\local spanning trees" whose

  6. Human Growth and Body Weight Dynamics: An Integrative Systems Model

    E-Print Network [OSTI]

    Rahmandad, Hazhir

    Quantifying human weight and height dynamics due to growth, aging, and energy balance can inform clinical practice and policy analysis. This paper presents the first mechanism-based model spanning full individual life and ...

  7. Technology Portfolio Planning by Weighted Graph Analysis of System Architectures

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Technology Portfolio Planning by Weighted Graph Analysis of System Architectures Peter Davison and Bruce Cameron Massachusetts Institute of Technology, Cambridge, MA 02139 Edward F. Crawley Skolkovo Institute of Science and Technology, Skolkovo 143025, Russia Abstract5 Many systems undergo significant

  8. Robust and Stochastically Weighted Multi-Objective Optimization ...

    E-Print Network [OSTI]

    2011-07-29T23:59:59.000Z

    Oct 12, 2010 ... and identically distributed samples from an unknown distribution of weights. Then ...... yields are highly related to temperature, precipitation, and soil condition (see ..... S. He, J. Chen, W. Xu, Y. Sun, T. Preetha, and X. Shen.

  9. An improved method for weighted least squares IIR filter design

    E-Print Network [OSTI]

    Davila-Pazmino, Javier

    1999-01-01T23:59:59.000Z

    Recently, a new method for IIR weighted least squares filter design has been proposed. In this method, the problem of approximating a desired frequency response using a rational function is solved using an iterative approach. After studying...

  10. Optimization of parameters for coverage of low molecular weight proteins

    E-Print Network [OSTI]

    Muller, Stephan A.

    Proteins with molecular weights of <25 kDa are involved in major biological processes such as ribosome formation, stress adaption (e.g., temperature reduction) and cell cycle control. Despite their importance, the coverage ...

  11. abnormally weighting energy: Topics by E-print Network

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

    11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Is Dark Energy Abnormally Weighting? Astrophysics (arXiv) Summary: We present a new interpretation of...

  12. Table 26. Natural gas home customer-weighted heating degree...

    Gasoline and Diesel Fuel Update (EIA)

    92 Created on: 3262015 1:21:33 PM Table 26. Natural gas home customer-weighted heating degree days New England Middle Atlantic East North Central West North Central South...

  13. PART I: JOB DESCRIPTION Weighted Job Questionnaire (WJQ) Custom

    E-Print Network [OSTI]

    PART I: JOB DESCRIPTION Weighted Job Questionnaire (WJQ) Custom Department Name: Student,1412 SIMON FRASER UNIVERSITY & C.U.P.E., Local 3338 JOB DESCRIPTION 1. POSITION IDENTIFICATION Department

  14. Weighted Flow Algorithms (WFA) for stochastic particle coagulation

    SciTech Connect (OSTI)

    DeVille, R.E.L., E-mail: rdeville@illinois.edu [Department of Mathematics, University of Illinois at Urbana-Champaign, 1409 W. Green Street, Urbana, IL 61801 (United States); Riemer, N., E-mail: nriemer@illinois.edu [Department of Atmospheric Science, University of Illinois at Urbana-Champaign, 105 S. Gregory Street, Urbana, IL 61801 (United States); West, M., E-mail: mwest@illinois.edu [Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, 1206 W. Green Street, Urbana, IL 61801 (United States)

    2011-09-20T23:59:59.000Z

    Stochastic particle-resolved methods are a useful way to compute the time evolution of the multi-dimensional size distribution of atmospheric aerosol particles. An effective approach to improve the efficiency of such models is the use of weighted computational particles. Here we introduce particle weighting functions that are power laws in particle size to the recently-developed particle-resolved model PartMC-MOSAIC and present the mathematical formalism of these Weighted Flow Algorithms (WFA) for particle coagulation and growth. We apply this to an urban plume scenario that simulates a particle population undergoing emission of different particle types, dilution, coagulation and aerosol chemistry along a Lagrangian trajectory. We quantify the performance of the Weighted Flow Algorithm for number and mass-based quantities of relevance for atmospheric sciences applications.

  15. Trends and inferred emissions of atmospheric high molecular weight perfluorocarbons

    E-Print Network [OSTI]

    Ivy, Diane Jean

    2012-01-01T23:59:59.000Z

    Atmospheric observations and atmospheric observation-based global emission estimates are presented for the five high molecular weight perfluorocarbons (PFCs): decafluorobutane (C 4 F 1 0 ), dodecafluoropentane (C5 F1 2 ), ...

  16. Seasonal differences in performance and water consumption of broilers as influenced by sex, egg weight and grain source

    E-Print Network [OSTI]

    Lane, Lionel Robert

    1969-01-01T23:59:59.000Z

    of age. Average body weight for the males and females was approximately the same whether grown combined or separately. The grain sorghum diets supported more rapid growth rate than corn or grain sorghum-corn diets to four weeks of age. From fouz... was approximately the same whether grown combined or. separately. 4. The grain. sorghum diets supported more rapid growth 30 than corn or grain sorghum-corn diets to four weeks of age. The corn diets were superior to grain sorghum or grain sorghum- corn diets...

  17. Reconstruction of a time-averaged midposition CT scan for radiotherapy planning of lung cancer patients using deformable registration

    SciTech Connect (OSTI)

    Wolthaus, J. W. H.; Sonke, J.-J.; Herk, M. van; Damen, E. M. F. [Department of Radiation Oncology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX Amsterdam (Netherlands)

    2008-09-15T23:59:59.000Z

    Purpose: lower lobe lung tumors move with amplitudes of up to 2 cm due to respiration. To reduce respiration imaging artifacts in planning CT scans, 4D imaging techniques are used. Currently, we use a single (midventilation) frame of the 4D data set for clinical delineation of structures and radiotherapy planning. A single frame, however, often contains artifacts due to breathing irregularities, and is noisier than a conventional CT scan since the exposure per frame is lower. Moreover, the tumor may be displaced from the mean tumor position due to hysteresis. The aim of this work is to develop a framework for the acquisition of a good quality scan representing all scanned anatomy in the mean position by averaging transformed (deformed) CT frames, i.e., canceling out motion. A nonrigid registration method is necessary since motion varies over the lung. Methods and Materials: 4D and inspiration breath-hold (BH) CT scans were acquired for 13 patients. An iterative multiscale motion estimation technique was applied to the 4D CT scan, similar to optical flow but using image phase (gray-value transitions from bright to dark and vice versa) instead. From the (4D) deformation vector field (DVF) derived, the local mean position in the respiratory cycle was computed and the 4D DVF was modified to deform all structures of the original 4D CT scan to this mean position. A 3D midposition (MidP) CT scan was then obtained by (arithmetic or median) averaging of the deformed 4D CT scan. Image registration accuracy, tumor shape deviation with respect to the BH CT scan, and noise were determined to evaluate the image fidelity of the MidP CT scan and the performance of the technique. Results: Accuracy of the used deformable image registration method was comparable to established automated locally rigid registration and to manual landmark registration (average difference to both methods <0.5 mm for all directions) for the tumor region. From visual assessment, the registration was good for the clearly visible features (e.g., tumor and diaphragm). The shape of the tumor, with respect to that of the BH CT scan, was better represented by the MidP reconstructions than any of the 4D CT frames (including MidV; reduction of 'shape differences' was 66%). The MidP scans contained about one-third the noise of individual 4D CT scan frames. Conclusions: We implemented an accurate method to estimate the motion of structures in a 4D CT scan. Subsequently, a novel method to create a midposition CT scan (time-weighted average of the anatomy) for treatment planning with reduced noise and artifacts was introduced. Tumor shape and position in the MidP CT scan represents that of the BH CT scan better than MidV CT scan and, therefore, was found to be appropriate for treatment planning.

  18. Weight Gain in Advanced Non-Small-Cell Lung Cancer Patients During Treatment With Split-Course Concurrent Chemoradiotherapy Is Associated With Superior Survival

    SciTech Connect (OSTI)

    Gielda, Benjamin T., E-mail: Benjamin_gielda@rush.edu [Department of Radiation Oncology, Rush University Medical Center, Chicago, IL (United States); Mehta, Par [Department of Radiation Oncology at Rush Copley Medical Center, Aurora, IL (United States); Khan, Atif [Department of Radiation Oncology, University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School and Cancer Institute of New Jersey, New Brunswick, NJ (United States); Marsh, James C.; Zusag, Thomas W. [Department of Radiation Oncology, Rush University Medical Center, Chicago, IL (United States); Warren, William H. [Department of Cardiothoracic Surgery, Rush University Medical Center, Chicago, IL (United States); Fidler, Mary Jo [Section of Medical Oncology, Rush University Medical Center, Chicago, IL (United States); Abrams, Ross A. [Department of Radiation Oncology, Rush University Medical Center, Chicago, IL (United States); Bonomi, Philip [Section of Medical Oncology, Rush University Medical Center, Chicago, IL (United States); Liptay, Michael; Faber, L. Penfield [Department of Cardiothoracic Surgery, Rush University Medical Center, Chicago, IL (United States)

    2011-11-15T23:59:59.000Z

    Background: Preoperative concurrent chemoradiotherapy (CRT) is an accepted treatment for potentially resectable, locally advanced, non-small-cell lung cancer (NSCLC). We reviewed a decade of single institution experience with preoperative split-course CRT followed by surgical resection to evaluate survival and identify factors that may be helpful in predicting outcome. Methods and Materials: All patients treated with preoperative split-course CRT and resection at Rush University Medical Center (RUMC) between January 1999 and December 2008 were retrospectively analyzed. Endpoints included overall survival (OS), progression-free survival (PFS), local-regional progression-free survival (LRPFS), and distant metastasis-free survival (DMFS). Patient and treatment related variables were assessed for correlation with outcomes. Results: A total of 54 patients were analyzed, 76% Stage IIIA, 18% Stage IIIB, and 6% oligometastatic. The pathologic complete response (pCR) rate was 31.5%, and the absence of nodal metastases (pN0) was 64.8%. Median OS and 3-year actuarial survival were 44.6 months and 50%, respectively. Univariate analysis revealed initial stage (p < 0.01) and percent weight change during CRT (p < 0.01) significantly correlated with PFS/OS. On multivariate analysis initial stage (HR, 2.4; 95% CI, 1.18-4.90; p = 0.02) and percent weight change (HR, 0.79; 95% CI, 0.67-0.93; p < 0.01) maintained significance with respect to OS. There were no cases of Grade 3+ esophagitis, and there was a single case of Grade 3 febrile neutropenia. Conclusions: The strong correlation between weight change during CRT and OS/PFS suggests that this clinical parameter may be useful as a complementary source of predictive information in addition to accepted factors such as pathological response.

  19. Comparison of a low carbohydrate and low fat diet for weight maintenance in overweight or obese adults enrolled in a clinical weight management program

    E-Print Network [OSTI]

    LeCheminant, James D.; Gibson, Cheryl A.; Dullivan, Debra K.; Hall, Sandra; Washburn, Rik; Vernon, Mary C.; Curry, Chelsea; Stewart, Elizabeth; Westman, Eric C.; Donnelly, Joseph E.

    2007-11-01T23:59:59.000Z

    20% of overweight individuals losing weight are successful for weight maintenance when defined as losing at least 10% of initial body weight and maintaining the loss for at least 1 year [1,2]. Thus, improved strategies to prevent weight re-gain... is unclear. Therefore, the purpose of this study was to compare body weight re-gain in overweight and obese adults consuming a low carbohy- drate or traditional low fat diet over 6 months of weight maintenance subsequent to 3 months of weight loss. Methods...

  20. Effect of Weight and Roadway Grade on the Fuel Economy of Class-8 Frieght Trucks

    SciTech Connect (OSTI)

    Franzese, Oscar [ORNL; Davidson, Diane [ORNL

    2011-11-01T23:59:59.000Z

    In 2006-08, the Oak Ridge National Laboratory, in collaboration with several industry partners, collected real-world performance and situational data for long-haul operations of Class-8 trucks from a fleet engaged in normal freight operations. Such data and information are useful to support Class-8 modeling of combination truck performance, technology evaluation efforts for energy efficiency, and to provide a means of accounting for real-world driving performance within combination truck research and analyses. The present study used the real-world information collected in that project to analyze the effects that vehicle speed and vehicle weight have on the fuel efficiency of Class-8 trucks. The analysis focused on two type of terrains, flat (roadway grades ranging from -1% to 1%) and mild uphill terrains (roadway grades ranging from 1% to 3%), which together covered more than 70% of the miles logged in the 2006-08 project (note: almost 2/3 of the distance traveled on mild uphill terrains was on terrains with 1% to 2% grades). In the flat-terrain case, the results of the study showed that for light and medium loads, fuel efficiency decreases considerably as speed increases. For medium-heavy and heavy loads (total vehicle weight larger than 65,000 lb), fuel efficiency tends to increase as the vehicle speed increases from 55 mph up to about 58-60 mph. For speeds higher than 60 mph, fuel efficiency decreases at an almost constant rate with increasing speed. At any given speed, fuel efficiency decreases and vehicle weight increases, although the relationship between fuel efficiency and vehicle weight is not linear, especially for vehicle weights above 65,000 lb. The analysis of the information collected while the vehicles were traveling on mild upslope terrains showed that the fuel efficiency of Class-8 trucks decreases abruptly with vehicle weight ranging from light loads up to medium-heavy loads. After that, increases in the vehicle weight only decrease fuel efficiency slightly. Fuel efficiency also decreases significantly with speed, but only for light and medium loads. For medium-heavy and heavy, FE is almost constant for speeds ranging from 57 to about 66 mph. For speeds higher than 66 mph, the FE decreases with speed, but at a lower rate than for light and medium loads. Statistical analyses that compared the fuel efficiencies obtained when the vehicles were traveling at 59 mph vs. those achieved when they were traveling at 65 mph or 70 mph indicated that the former were, on average, higher than the latter. This result was statistically significant at the 99.9% confidence level (note: the Type II error i.e., the probability of failing to reject the null hypothesis when the alternative hypothesis is true was 18% and 6%, respectively).

  1. Chaotic motion at the emergence of the time averaged energy decay

    E-Print Network [OSTI]

    Cesar Manchein; Jane Rosa; Marcus W. Beims

    2009-05-29T23:59:59.000Z

    A system plus environment conservative model is used to characterize the nonlinear dynamics when the time averaged energy for the system particle starts to decay. The system particle dynamics is regular for low values of the $N$ environment oscillators and becomes chaotic in the interval $13\\le N\\le15$, where the system time averaged energy starts to decay. To characterize the nonlinear motion we estimate the Lyapunov exponent (LE), determine the power spectrum and the Kaplan-Yorke dimension. For much larger values of $N$ the energy of the system particle is completely transferred to the environment and the corresponding LEs decrease. Numerical evidences show the connection between the variations of the {\\it amplitude} of the particles energy time oscillation with the time averaged energy decay and trapped trajectories.

  2. Reconstruction of ionization probabilities from spatially averaged data in N dimensions

    SciTech Connect (OSTI)

    Strohaber, J.; Kolomenskii, A. A.; Schuessler, H. A. [Department of Physics, Texas A and M University, College Station, Texas 77843-4242 (United States)

    2010-07-15T23:59:59.000Z

    We present an analytical inversion technique, which can be used to recover ionization probabilities from spatially averaged data in an N-dimensional detection scheme. The solution is given as a power series in intensity. For this reason, we call this technique a multiphoton expansion (MPE). The MPE formalism was verified with an exactly solvable inversion problem in two dimensions, and probabilities in the postsaturation region, where the intensity-selective scanning approach breaks down, were recovered. In three dimensions, ionization probabilities of Xe were successfully recovered with MPE from simulated (using the Ammosov-Delone-Krainov tunneling theory) ion yields. Finally, we tested our approach with intensity-resolved benzene-ion yields, which show a resonant multiphoton ionization process. By applying MPE to this data (which were artificially averaged), the resonant structure was recovered, which suggests that the resonance in benzene may have been observed in spatially averaged data taken elsewhere.

  3. Experimental Estimation of Average Fidelity of a Clifford Gate on a 7-qubit Quantum Processor

    E-Print Network [OSTI]

    Dawei Lu; Hang Li; Denis-Alexandre Trottier; Jun Li; Aharon Brodutch; Anthony P. Krismanich; Ahmad Ghavami; Gary I. Dmitrienko; Guilu Long; Jonathan Baugh; Raymond Laflamme

    2014-11-28T23:59:59.000Z

    Quantum gates in experiment are inherently prone to errors that need to be characterized before they can be corrected. Full characterization via quantum process tomography is impractical and often unnecessary. For most practical purposes, it is enough to estimate more general quantities such as the average fidelity. Here we use a unitary 2-design and twirling protocol for efficiently estimating the average fidelity of Clifford gates, to certify a 7-qubit entangling gate in a nuclear magnetic resonance quantum processor. Compared with more than $10^8$ experiments required by full process tomography, we conducted 1656 experiments to satisfy a statistical confidence level of 99%. The average fidelity of this Clifford gate in experiment is 55.1%, and rises to 87.5% if the infidelity due to decoherence is removed. The entire protocol of certifying Clifford gates is efficient and scalable, and can easily be extended to any general quantum information processor with minor modifications.

  4. Comparison of average and point capillary pressure-saturation functions determined by steady-state centrifugation

    SciTech Connect (OSTI)

    Cropper, Clark [University of Tennessee, Knoxville (UTK); Perfect, Edmund [ORNL; van den Berg, Dr. Elmer [University of Tennessee, Knoxville (UTK); Mayes, Melanie [ORNL

    2010-01-01T23:59:59.000Z

    The capillary pressure-saturation function can be determined from centrifuge drainage experiments. In soil physics, the data resulting from such experiments are usually analyzed by the 'averaging method.' In this approach, average relative saturation, , is expressed as a function of average capillary pressure, <{psi}>, i.e., (<{psi}>). In contrast, the capillary pressure-saturation function at a physical point, i.e., S({psi}), has been extracted from similar experiments in petrophysics using the 'integral method.' The purpose of this study was to introduce the integral method applied to centrifuge experiments to a soil physics audience and to compare S({psi}) and (<{psi}>) functions, as parameterized by the Brooks-Corey and van Genuchten equations, for 18 samples drawn from a range of porous media (i.e., Berea sandstone, glass beads, and Hanford sediments). Steady-state centrifuge experiments were performed on preconsolidated samples with a URC-628 Ultra-Rock Core centrifuge. The angular velocity and outflow data sets were then analyzed using both the averaging and integral methods. The results show that the averaging method smoothes out the drainage process, yielding less steep capillary pressure-saturation functions relative to the corresponding point-based curves. Maximum deviations in saturation between the two methods ranged from 0.08 to 0.28 and generally occurred at low suctions. These discrepancies can lead to inaccurate predictions of other hydraulic properties such as the relative permeability function. Therefore, we strongly recommend use of the integral method instead of the averaging method when determining the capillary pressure-saturation function by steady-state centrifugation. This method can be successfully implemented using either the van Genuchten or Brooks-Corey functions, although the latter provides a more physically precise description of air entry at a physical point.

  5. Design package test weights for fuel retrieval system (OCRWM)

    SciTech Connect (OSTI)

    TEDESCHI, D.J.

    1999-10-26T23:59:59.000Z

    This is a design package that documents the development of test weights used in the Spent Nuclear Fuels subproject Fuel Retrieval System. The K Basins Spent Nuclear Fuel (SNF) project consists of the safe retrieval, preparation, and repackaging of the spent fuel stored at the K East (KE) and K West (KW) Basins for interim safe storage in the Canister Storage Building (CSB). Multi-Canister Overpack (MCO) scrap baskets and fuel baskets will be loaded and weighed under water. The equipment used to weigh the loaded fuel baskets requires daily calibration checks, using test weights traceable to National Institute of Standards Testing (NIST) standards. The test weights have been designated as OCRWM related in accordance with HNF-SD-SNF-RF'T-007 (McCormack).

  6. Averaged implicit hydrodynamic model of semiflexible filaments Preethi L. Chandran and Mohammad R. K. Mofrad*

    E-Print Network [OSTI]

    Mofrad, Mohammad R. K.

    , in order to better resolve the drag profiles along the filament. A large part of the hydrodynamic dragAveraged implicit hydrodynamic model of semiflexible filaments Preethi L. Chandran and Mohammad R 2009; published 26 March 2010 We introduce a method to incorporate hydrodynamic interaction in a model

  7. ATOC 3500 Thursday, Feb. 18, 2010 Hand back Midterm Exams (average = 89)

    E-Print Network [OSTI]

    Toohey, Darin W.

    ATOC 3500 Thursday, Feb. 18, 2010 Hand back Midterm Exams (average = 89) Interaction of atmospheric and efflorescence equate to a change in state from solid to liquid as the relative humidity (RH) changes. RH can change due to an increase in the mixing ratio of water vapor (equating to more collisions of water

  8. Power Control for Block-Fading Channels with Peak-to-Average Power Constraints

    E-Print Network [OSTI]

    Guillén i Fàbregas, Albert

    .nguyen@postgrads.unisa.edu.au Albert Guill´en i F`abregas Engineering Department University of Cambridge Cambridge, CB2 1PZ, UK guillen@ieee.org Lars K. Rasmussen Institute for Telecommunications Research University of South Australia Mawson Lakes SA 5095 lars.rasmussen@unisa.edu.au Abstract-- Power allocation with peak-to-average power con

  9. Peak-to-average power ratio reduction in OFDM based on transformation of partial

    E-Print Network [OSTI]

    Peak-to-average power ratio reduction in OFDM based on transformation of partial transmit sequences number, but T-PTS is less complex. Introduction: To avoid the occurrence of large peak power of signals G. Lu, P. Wu and C. Carlemalm-Logothetis A novel scheme (transformation of partial transmit

  10. ON THE SELF-AVERAGING OF WAVE ENERGY IN RANDOM GUILLAUME BAL

    E-Print Network [OSTI]

    Bal, Guillaume

    ON THE SELF-AVERAGING OF WAVE ENERGY IN RANDOM MEDIA GUILLAUME BAL Abstract. We consider transport equations for arbitrary statistical moments of the wave field is used to show that wave energy initial energy distributions. We show that wave energy is not stable, and instead scintillation is created

  11. Average-case analysis of perfect sorting by reversals Mathilde Bouvel

    E-Print Network [OSTI]

    Boyer, Edmond

    genomics, is the process of sorting a signed permutation to either the identity or to the reversed identity example here: we perform an average case analysis of a sorting algorithm from computational genomics by generating function analysis of a family of trees. Motivation: a computational genomics problem

  12. Neurocomputing 69 (2006) 10621065 Dependence of the spike-triggered average voltage on

    E-Print Network [OSTI]

    Gerstner, Wulfram

    2006-01-01T23:59:59.000Z

    .V. All rights reserved. Keywords: Spike-triggered voltage; h-current; Damped voltage oscillations 1 oscillations. The model comprises a variable v for the membrane voltage, with time-scale tv and a secondNeurocomputing 69 (2006) 10621065 Dependence of the spike-triggered average voltage on membrane

  13. Micro-engineered first wall tungsten armor for high average power laser fusion energy systems

    E-Print Network [OSTI]

    Ghoniem, Nasr M.

    Micro-engineered first wall tungsten armor for high average power laser fusion energy systems is developing an inertial fusion energy demonstration power reactor with a solid first wall chamber. The first is a coordinated effort to develop laser inertial fusion energy [1]. The first stage of the HAPL program

  14. WAVELET ESTIMATION IN HOMOMORPHIC DOMAIN BY SPECTRAL AVERAGING, FOR DECONVOLUTION OF SEISMIC DATA

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    WAVELET ESTIMATION IN HOMOMORPHIC DOMAIN BY SPECTRAL AVERAGING, FOR DECONVOLUTION OF SEISMIC DATA M In geophysics, a homomorphic system is used to modelize the convolution of an emitted wavelet (source) with the impulse response of the earth into the sum of the log spectra of the wavelet and the earth's response

  15. Seasonal Variation in Monthly Average Air Change Rates Using Passive Tracer Gas Measurements

    E-Print Network [OSTI]

    Hansen, Ren Rydhof

    of indoor air pollution sources. Concurrently, great efforts are made to make buildings energy efficient 1970s, while less attention has been paid to IAQ. Insufficient venting of indoor air pollutantsSeasonal Variation in Monthly Average Air Change Rates Using Passive Tracer Gas Measurements Marie

  16. Asymptotic scaling corrections in QCD with Wilson fermions from the 3-loop average plaquette

    E-Print Network [OSTI]

    B. Alles; A. Feo; H. Panagopoulos

    1998-01-23T23:59:59.000Z

    We calculate the 3-loop perturbative expansion of the average plaquette in lattice QCD with N_f massive Wilson fermions and gauge group SU(N). The corrections to asymptotic scaling in the corresponding energy scheme are also evaluated. We have also improved the accuracy of the already known pure gluonic results at 2 and 3 loops.

  17. Expansion and Growth of Structure Observables in a Macroscopic Gravity Averaged Universe

    E-Print Network [OSTI]

    Wijenayake, Tharake

    2015-01-01T23:59:59.000Z

    We investigate the effect of averaging inhomogeneities on expansion and large-scale structure growth observables using the exact and covariant framework of Macroscopic Gravity (MG). It is well-known that applying the Einstein's equations and spatial averaging do not commute and lead to the averaging problem. For the MG formalism applied to the Friedmann-Lemaitre-Robertson-Walker (FLRW) metric, this gives an extra dynamical term encapsulated as an averaging density parameter denoted $\\Omega_A$. An exact isotropic cosmological solution of MG for the flat FLRW metric is already known in the literature, we derive here an anisotropic exact solution. Using the isotropic solution, we compare the expansion history to current data of distances to supernovae, Baryon Acoustic Oscillations, CMB last scattering surface, and Hubble constant measurements, and find $-0.05 \\le \\Omega_A \\le 0.07$ (at the 95% CL). For the flat metric case this reduces to $-0.03 \\le \\Omega_A \\le 0.05$. We also find that the inclusion of this ter...

  18. Climate Projections Using Bayesian Model Averaging and Space-Time Dependence

    E-Print Network [OSTI]

    Haran, Murali

    Climate Projections Using Bayesian Model Averaging and Space-Time Dependence K. Sham Bhat, Murali Haran, Adam Terando, and Klaus Keller. Abstract Projections of future climatic changes are a key input to the design of climate change mitiga- tion and adaptation strategies. Current climate change projections

  19. Plio-Pleistocene time-averaged field in southern Patagonia recorded in lava flows

    E-Print Network [OSTI]

    Singer, Bradley S.

    Plio-Pleistocene time-averaged field in southern Patagonia recorded in lava flows V. Mejia and N. D of 53 lava flows from southern Patagonia (latitudes 49.5°­52.1°S) that include the Pali-Aike volcanic, 7 figures, 3 tables. Keywords: paleomagnetic secular variation; Patagonia; Pali-Aike Volcanic Field

  20. Average Consensus in the Presence of Delays in Directed Graph Topologies

    E-Print Network [OSTI]

    Hadjicostis, Christoforos

    @kth.se. #12;directed interconnection topology (digraph). The objective of a consensus problem is to have all values that the nodes initially posses (initial values). When the agents (asymptotically) reach agreement shown in [4] that, under a fixed interconnection topology, average consensus can be reached

  1. ILP and Iterative LP Solutions for Peak and Average Power Optimization in HLS

    E-Print Network [OSTI]

    Ramanujam, J. "Ram"

    . Ramanujam2 1 Electrical Engineering Dept., Assiut University, Egypt 2 Electrical and Computer Engineering as average power and energy consumptions. As the design problem becomes large, exact solution takes-flow graph (DFG) executes. We define Scheduling for Low Power and Energy (SLoPE) in high-level synthesis

  2. Effects of nuclear structure on average angular momentum in subbarrier fusion

    E-Print Network [OSTI]

    A. B. Balantekin; J. R. Bennett; S. Kuyucak

    1994-07-21T23:59:59.000Z

    We investigate the effects of nuclear quadrupole and hexadecapole couplings on the average angular momentum in sub-barrier fusion reactions. This quantity could provide a probe for nuclear shapes, distinguishing between prolate vs. oblate quadrupole and positive vs. negative hexadecapole couplings. We describe the data in the O + Sm system and discuss heavier systems where shape effects become more pronounced.

  3. Development of a high average current polarized electron source with long cathode operational lifetime

    SciTech Connect (OSTI)

    C. K. Sinclair; P. A. Adderley; B. M. Dunham; J. C. Hansknecht; P. Hartmann; M. Poelker; J. S. Price; P. M. Rutt; W. J. Schneider; M. Steigerwald

    2007-02-01T23:59:59.000Z

    Substantially more than half of the electromagnetic nuclear physics experiments conducted at the Continuous Electron Beam Accelerator Facility of the Thomas Jefferson National Accelerator Facility (Jefferson Laboratory) require highly polarized electron beams, often at high average current. Spin-polarized electrons are produced by photoemission from various GaAs-based semiconductor photocathodes, using circularly polarized laser light with photon energy slightly larger than the semiconductor band gap. The photocathodes are prepared by activation of the clean semiconductor surface to negative electron affinity using cesium and oxidation. Historically, in many laboratories worldwide, these photocathodes have had short operational lifetimes at high average current, and have often deteriorated fairly quickly in ultrahigh vacuum even without electron beam delivery. At Jefferson Lab, we have developed a polarized electron source in which the photocathodes degrade exceptionally slowly without electron emission, and in which ion back bombardment is the predominant mechanism limiting the operational lifetime of the cathodes during electron emission. We have reproducibly obtained cathode 1/e dark lifetimes over two years, and 1/e charge density and charge lifetimes during electron beam delivery of over 2?105???C/cm2 and 200 C, respectively. This source is able to support uninterrupted high average current polarized beam delivery to three experimental halls simultaneously for many months at a time. Many of the techniques we report here are directly applicable to the development of GaAs photoemission electron guns to deliver high average current, high brightness unpolarized beams.

  4. Seminario de Estadstica e Investigacin Operativa "Tree, web and average web value for

    E-Print Network [OSTI]

    Tradacete, Pedro

    Seminario de Estadstica e Investigacin Operativa "Tree, web and average web value for cycle solution concepts, called web values, are introduced axiomatically, each one with respect to some specific recursive algorithms to calculate them. Additionally the efficiency and stability of web values are studied

  5. Simultaneous Power Fluctuation and Average Power Minimization during Nano-CMOS Behavioral Synthesis

    E-Print Network [OSTI]

    Mohanty, Saraju P.

    Simultaneous Power Fluctuation and Average Power Minimization during Nano-CMOS Behavioral Synthesis for the reduction of total power and power fluctuation dur- ing behavioral synthesis. We consider resources of dual component library which is then used during behavioral synthesis. The formulated multi-objective cost

  6. Why should I recycle? The average American generates 4.5 pounds of waste daily.

    E-Print Network [OSTI]

    Tsien, Roger Y.

    Why should I recycle? The average American generates 4.5 pounds of waste daily. Instead of throwing paper and containers in the trash,recycle them in single-stream receptacles conveniently located throughout campus.These guidelines will help you recycle more and waste less. What's recyclable? Mixed

  7. S79JUNE 2006STATE OFTHE CLIMATE IN 2005 | FIG. 6.28. European average temperature anomalies

    E-Print Network [OSTI]

    ­90 average. Romania and Bulgaria received significant rainfall excesses during the year, with August totals above average in Romania (Fig. 6.29). A warm January, with areas of eastern Ukraine more than 5°C above

  8. Weighted Logics for Nested Words and Algebraic Formal Power Series

    E-Print Network [OSTI]

    Mathissen, Christian

    2010-01-01T23:59:59.000Z

    Nested words, a model for recursive programs proposed by Alur and Madhusudan, have recently gained much interest. In this paper we introduce quantitative extensions and study nested word series which assign to nested words elements of a semiring. We show that regular nested word series coincide with series definable in weighted logics as introduced by Droste and Gastin. For this we establish a connection between nested words and the free bisemigroup. Applying our result, we obtain characterizations of algebraic formal power series in terms of weighted logics. This generalizes results of Lautemann, Schwentick and Therien on context-free languages.

  9. Adrenal weight in a Texas white-tailed deer herd

    E-Print Network [OSTI]

    Ramsey, Charles Warren

    1975-01-01T23:59:59.000Z

    ADRENAL WEIGHT IN A TEXAS WHITE-TAILED DEER HERD A Thesis by CHARLES WARREN RAMSEY Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE December 1975 Major... Subject: Wildlife and Fisheries Sciences ADRENAL WEIGHT IN A TEXAS WHITE-TAILED DEER HERD A Thesis by CHARLES WARREN RAMSEY Approved as to style and content by: ( airman o Committ ) (Head of Department) (Member) (Member) December 1975 1. 1, 1...

  10. New determination of the D0?K??+?0 and D0?K??+?+?? coherence factors and average strong-phase differences

    SciTech Connect (OSTI)

    Libby, J.; Malde, S.; Powell, A.; Wilkinson, G.; Asner, David M.; Bonvicini, Giovanni; Briere, R. A.; Gershon, T.; Naik, P.; Pedlar, Todd K.; Rademacker, J.; Ricciardi, S.; Thomas, C.

    2014-07-14T23:59:59.000Z

    New determination of the D0!K?!+!0 and D0!K?!+!+!? coherence factors and average strong-phase differences

  11. Stochastic Online Learning for Network Optimization under Unknown Random Weights

    E-Print Network [OSTI]

    Zhao, Qing

    the results to general network optimization problems (e.g., minimum spanning tree and dominating set minimum spanning tree and minimum (connected) dominating set. Consider a communication network where1 Stochastic Online Learning for Network Optimization under Unknown Random Weights Keqin Liu

  12. Approximating the Minimum Spanning Tree Weight in Sublinear Time

    E-Print Network [OSTI]

    Goldwasser, Shafi

    Approximating the Minimum Spanning Tree Weight in Sublinear Time #3; Bernard Chazelle y Ronitt a parameter 0 minimum span- ning tree in the graph and then grows \\local spanning trees" whose sizes are speci#12;ed by a stochastic process. From

  13. The Weight of Words Construction and Implications of

    E-Print Network [OSTI]

    New Hampshire, University of

    The Weight of Words Construction and Implications of Genocide Discourse in Bosnia and Sudan #12 Genocide 1975-1979 - 2,000,000 Deaths Rwanda 1994 - 800,000 Deaths Bosnia Genocide 1992-1995 - 200 INEVITABLITY #12;Bosnia- background #12;"Ethnic Cleansing" Massacres Plundering of villages Rape Camps #12

  14. Predicting Equity Market Price Impact with Performance Weighted Ensembles of

    E-Print Network [OSTI]

    Predicting Equity Market Price Impact with Performance Weighted Ensembles of Random Forests Ash.j.mcgroarty@soton.ac.uk Abstract--For many players in financial markets, the price impact of their trading activity represents a large proportion of their transaction costs. This paper proposes a novel machine learning method

  15. A Library for Locally Weighted Projection Regression --Supplementary Documentation --

    E-Print Network [OSTI]

    problems: The function to be learnt is non-linear. Otherwise having multiple local models is a waste of resources, and you should rather use ordinary linear regression, or partial least squares (PLS) for the caseA Library for Locally Weighted Projection Regression -- Supplementary Documentation -- Stefan

  16. Weight and volume changing device with liquid metal transfer

    E-Print Network [OSTI]

    Niiyama, Ryuma

    This paper presents a weight-changing device based on the transfer of mass. We chose liquid metal (Ga-In-Tin eutectic) and a bi-directional pump to control the mass that is injected into or removed from a target object. ...

  17. An Assessment of Greenhouse Gas Emissions-Weighted

    E-Print Network [OSTI]

    Economic Analysis Greenhouse Gas Emissions Prepared by Hawai`i Natural Energy Institute School of OceanAn Assessment of Greenhouse Gas Emissions-Weighted Clean Energy Standards Prepared for the U Hawai`i Distributed Energy Resource Technologies for Energy Security Subtask 12.3 Second Deliverable

  18. Finite-order integration weights can be dangerous

    E-Print Network [OSTI]

    Finite-order integration weights can be dangerous Ian H. Sloan University of New South Wales on a small subset of the variables. The aim of this paper is to demonstrate the danger of relying be dangerous in applications. But before this question can be addressed, it is necessary to describe

  19. Forecast of Standard Atomic Weights for the Mononuclidic Elements 2011

    SciTech Connect (OSTI)

    Holden, N.E.; Holden, N.; Holden,N.E.

    2011-07-27T23:59:59.000Z

    In this short report, I will provide an early warning about potential changes to the standard atomic weight values for the twenty mononuclidic and the so-called pseudo-mononuclidic ({sup 232}Th and {sup 231}Pa) chemical elements due to the estimated changes in the mass values to be published in the next Atomic Mass Tables within the next two years. There have been many new measurements of atomic masses, since the last published Atomic Mass Table. The Atomic Mass Data Center has released an unpublished version of the present status of the atomic mass values as a private communication. We can not update the Standard Atomic Weight Table at this time based on these unpublished values but we can anticipate how many changes are probably going to be expected in the next few years on the basis of the forthcoming publication of the Atomic Mass Table. I will briefly discuss the procedures that the Atomic Weights Commission used in deriving the recommended Standard Atomic Weight values and their uncertainties from the atomic mass values. I will also discuss some concern raised about a proposed change in the definition of the mole. The definition of the mole is now connected directly to the mass of a {sup 12}C isotope (which is defined as 12 exactly) and to the kilogram. A change in the definition of the mole will probably impact the mass of {sup 12}C.

  20. Maximum Likelihood Sub-band Weighting for Robust Speech Recognition

    E-Print Network [OSTI]

    , bins of log filter-band energy (FBE) in each sub-band are multiplied with a weighting factor depending on the reliability of the sub-band. For each sub-band, zero padding is performed on the log FBE vector lengthening. For the DCT has the size of full-band FBE vector, the feature vector consists of the correlations across

  1. PARTI: JOB DESCRIPTION Weighted Job Questionnaire(WJQ) Custom

    E-Print Network [OSTI]

    Kavanagh, Karen L.

    PARTI: JOB DESCRIPTION Weighted Job Questionnaire(WJQ) Custom Department Name: SFU Document WEIGHTEDJOBQUESTIONNAIRE(WJQ)CUSTO PARTI: JOB DESCRIPTION 1. POSITION IDENTIFICATION Department Position Title: Customer at all times. Provides cost estimates for basic jobs and produces production reports using the Print

  2. Renormalization, averaging, conservation laws and AdS (in)stability

    E-Print Network [OSTI]

    Ben Craps; Oleg Evnin; Joris Vanhoof

    2015-01-19T23:59:59.000Z

    We continue our analytic investigations of non-linear spherically symmetric perturbations around the anti-de Sitter background in gravity-scalar field systems, and focus on conservation laws restricting the (perturbatively) slow drift of energy between the different normal modes due to non-linearities. We discover two conservation laws in addition to the energy conservation previously discussed in relation to AdS instability. A similar set of three conservation laws was previously noted for a self-interacting scalar field in a non-dynamical AdS background, and we highlight the similarities of this system to the fully dynamical case of gravitational instability. The nature of these conservation laws is best understood through an appeal to averaging methods which allow one to derive an effective Lagrangian or Hamiltonian description of the slow energy transfer between the normal modes. The conservation laws in question then follow from explicit symmetries of this averaged effective theory.

  3. Comparison of a reduced carbohydrate and reduced fat diet for LDL, HDL, and VLDL subclasses during 9-months of weight maintenance subsequent to weight loss

    E-Print Network [OSTI]

    LeCheminant, James D.; Smith, Bryan K.; Westman, Eric C.; Vernon, Mary C.; Donnelly, Joseph E.

    2010-06-01T23:59:59.000Z

    Objectives: This study compared LDL, HDL, and VLDL subclasses in overweight or obese adults consuming either a reduced carbohydrate (RC) or reduced fat (RF) weight maintenance diet for 9 months following significant weight loss. Methods: Thirty...

  4. A Kalman-filter bias correction of ozone deterministic, ensemble-averaged, and probabilistic forecasts

    SciTech Connect (OSTI)

    Monache, L D; Grell, G A; McKeen, S; Wilczak, J; Pagowski, M O; Peckham, S; Stull, R; McHenry, J; McQueen, J

    2006-03-20T23:59:59.000Z

    Kalman filtering (KF) is used to postprocess numerical-model output to estimate systematic errors in surface ozone forecasts. It is implemented with a recursive algorithm that updates its estimate of future ozone-concentration bias by using past forecasts and observations. KF performance is tested for three types of ozone forecasts: deterministic, ensemble-averaged, and probabilistic forecasts. Eight photochemical models were run for 56 days during summer 2004 over northeastern USA and southern Canada as part of the International Consortium for Atmospheric Research on Transport and Transformation New England Air Quality (AQ) Study. The raw and KF-corrected predictions are compared with ozone measurements from the Aerometric Information Retrieval Now data set, which includes roughly 360 surface stations. The completeness of the data set allowed a thorough sensitivity test of key KF parameters. It is found that the KF improves forecasts of ozone-concentration magnitude and the ability to predict rare events, both for deterministic and ensemble-averaged forecasts. It also improves the ability to predict the daily maximum ozone concentration, and reduces the time lag between the forecast and observed maxima. For this case study, KF considerably improves the predictive skill of probabilistic forecasts of ozone concentration greater than thresholds of 10 to 50 ppbv, but it degrades it for thresholds of 70 to 90 ppbv. Moreover, KF considerably reduces probabilistic forecast bias. The significance of KF postprocessing and ensemble-averaging is that they are both effective for real-time AQ forecasting. KF reduces systematic errors, whereas ensemble-averaging reduces random errors. When combined they produce the best overall forecast.

  5. A gradient system on the quantum information space realizing the averaged learning equation of Hebb type

    E-Print Network [OSTI]

    Yoshio Uwano; Hiromi Yuya

    2009-12-17T23:59:59.000Z

    The averaged learning equation (ALEH) applicable to the principal component analyzer is studied from both quantum information geometry and dynamical system viewpoints. On the quantum information space (QIS), the space of regular density matrices endowed with the quantum SLD-Fisher metric, a gradient system is given as an extension of the ALEH; on the submanifold, consisting of the diagonal matrices, of the QIS, the gradient flow coincides with the ALEH up to a local diffeomorphism.

  6. Using Utility Bills and Average Daily Energy Consumption to Target Commissioning Efforts and Track Building Performance

    E-Print Network [OSTI]

    Sellers, D.

    2001-01-01T23:59:59.000Z

    Using Utility Bills and Average Daily Energy Consumption to Target Commissioning Efforts and Track Building Performance By: David Sellers, Senior Engineer, Portland Energy Conservation Inc, Portland, Oregon ABSTRACT This paper discusses using basic... by contacting the author at: Dsellers@peci.org www.peci.org Phone: - 503-248-4636 extension 224 Mailing address through August 3, 2001 Portland Energy Conservation, Inc. 921 SW Washington Street Suite 312 Portland, Oregon 97205 Mailing address after August 3...

  7. Average balance equations, scale dependence, and energy cascade for granular materials

    E-Print Network [OSTI]

    Riccardo Artoni; Patrick Richard

    2015-03-09T23:59:59.000Z

    A new averaging method linking discrete to continuum variables of granular materials is developed and used to derive average balance equations. Its novelty lies in the choice of the decomposition between mean values and fluctuations of properties which takes into account the effect of gradients. Thanks to a local homogeneity hypothesis, whose validity is discussed, simplified balance equations are obtained. This original approach solves the problem of dependence of some variables on the size of the averaging domain obtained in previous approaches which can lead to huge relative errors (several hundred percentages). It also clearly separates affine and nonaffine fields in the balance equations. The resulting energy cascade picture is discussed, with a particular focus on unidirectional steady and fully developed flows for which it appears that the contact terms are dissipated locally unlike the kinetic terms which contribute to a nonlocal balance. Application of the method is demonstrated in the determination of the macroscopic properties such as volume fraction, velocity, stress, and energy of a simple shear flow, where the discrete results are generated by means of discrete particle simulation.

  8. Average discharge rate representation of voice onset time in the chinchilla auditory nerve

    SciTech Connect (OSTI)

    Sinex, D.G.; McDonald, L.P.

    1988-05-01T23:59:59.000Z

    Responses of chinchilla auditory-nerve fibers to synthesized stop consonants differing in voice onset time (VOT) were obtained. The syllables, heard as /ga/--/ka/ or /da/--/ta/, were similar to those previously used by others in psychophysical experiments with human and with chinchilla subjects. Average discharge rates of neurons tuned to the frequency region near the first formant generally increased at the onset of voicing, for VOTs longer than 20 ms. These rate increases were closely related to spectral amplitude changes associated with the onset of voicing and with the activation of the first formant; as a result, they provided accurate information about VOT. Neurons tuned to frequency regions near the second and third formants did not encode VOT in their average discharge rates. Modulations in the average rates of these neurons reflected spectral variations that were independent of VOT. The results are compared to other measurements of the peripheral encoding of speech sounds and to psychophysical observations suggesting that syllables with large variations in VOT are heard as belonging to one of only two phonemic categories.

  9. Measurement of the polarized forward-backward asymmetry of B quarks using momentum-weighted track charge at SLD

    SciTech Connect (OSTI)

    Junk, T.R.

    1995-11-01T23:59:59.000Z

    This thesis presents a direct measurement of the parity-violating parameter A{sub b} by analyzing the polarized forward-backward asymmetry of b quarks in e{sup +}e{sup {minus}} {yields} Z{sup 0} {yields} b{bar b}. Data were taken at the Stanford Linear Accelerator Center (SLAC), with the Stanford Large Detector (SLD), which records the products of e{sup +}e{sup {minus}} interactions at a center of mass energy {radical}s = 91.2 GeV/c{sup 2} at the SLAC Linear Collider (SLC). The SLC/SLD experimental apparatus provides a unique and ideal environment for measuring electroweak asymmetries. Heavy flavor decays of the Z{sup 0} were identified inclusively by taking advantage of the long lifetime of B hadrons, the small, stable SLC beam spot, and SLD`s precise tracking detectors. Two analysis techniques for measuring A{sub b} are presented: a binned fit to the left-right forward-backwards asymmetry of tagged events signed with momentum-weighted track charge, and a self-calibrating maximum-likelihood technique using momentum-weighted charge from the two hemispheres in each tagged event. From our 1994-1995 sample of 3.6 pb{sup {minus}1}, having a luminosity-weighted average e{sup {minus}} polarization of 77.3%, and our 1993 sample of 1.8 pb{sup {minus}1}, having a luminosity-weighted polarization of 63.1%, we obtain A{sub b} = 0.848 {plus_minus} 0.046(stat.) {plus_minus} 0.050(syst.).

  10. High molecular weight polysaccharide that binds and inhibits virus

    DOE Patents [OSTI]

    Konowalchuk, Thomas W

    2014-01-14T23:59:59.000Z

    This invention provides a high molecular weight polysaccharide capable of binding to and inhibiting virus and related pharmaceutical formulations and methods on inhibiting viral infectivity and/or pathogenicity, as well as immunogenic compositions. The invention further methods of inhibiting the growth of cancer cells and of ameliorating a symptom of aging. Additionally, the invention provides methods of detecting and/or quantifying and/or isolating viruses.

  11. Buckling in polymer monolayers: Molecular-weight dependence

    SciTech Connect (OSTI)

    Srivastava, S.; Basu, J.K.; (IIS)

    2010-11-12T23:59:59.000Z

    We present systematic investigations of buckling in Langmuir monolayers of polyvinyl acetate formed at the air-water interface. On compression the polymer monolayers are converted to a continuous membrane with a thickness of {approx}2-3 nm of well-defined periodicity, {lambda}{sub b}. Above a certain surface concentration the membrane undergoes a morphological transition buckling, leading to the formation of striped patterns. The periodicity seems to depend on molecular weight as per the predictions of the gravity-bending buckling formalism of Milner et al. for fluidlike films on water. However anomalously low values of bending rigidity and Young's modulus are obtained using this formalism. Hence we have considered an alternative model of buckling-based solidlike films on viscoelastic substrates. The values of bending rigidity and Young's modulus obtained by this method, although lower than expected, are closer to the bulk values. Remarkably, no buckling is found to occur above a certain molecular weight. We have tried to explain the observed molecular-weight dependence in terms of the variation in isothermal compressive modulus of the monolayers with surface concentration as well as provided possible explanations for the obtained low values of mechanical properties similar to that observed for ultrathin polymer films.

  12. PET imaging predicts future body weight and cocaine preference

    SciTech Connect (OSTI)

    Michaelides M.; Wang G.; Michaelides M.; Thanos P.K. Kim R.; Cho J.; Ananth M.; Wang G.-J.; Volkow N.D.

    2011-08-28T23:59:59.000Z

    Deficits in dopamine D2/D3 receptor (D2R/D3R) binding availability using PET imaging have been reported in obese humans and rodents. Similar deficits have been reported in cocaine-addicts and cocaine-exposed primates. We found that D2R/D3R binding availability negatively correlated with measures of body weight at the time of scan (ventral striatum), at 1 (ventral striatum) and 2 months (dorsal and ventral striatum) post scan in rats. Cocaine preference was negatively correlated with D2R/D3R binding availability 2 months (ventral striatum) post scan. Our findings suggest that inherent deficits in striatal D2R/D3R signaling are related to obesity and drug addiction susceptibility and that ventral and dorsal striatum serve dissociable roles in maintaining weight gain and cocaine preference. Measuring D2R/D3R binding availability provides a way for assessing susceptibility to weight gain and cocaine abuse in rodents and given the translational nature of PET imaging, potentially primates and humans.

  13. Method and system for modulation of gain suppression in high average power laser systems

    DOE Patents [OSTI]

    Bayramian, Andrew James (Manteca, CA)

    2012-07-31T23:59:59.000Z

    A high average power laser system with modulated gain suppression includes an input aperture associated with a first laser beam extraction path and an output aperture associated with the first laser beam extraction path. The system also includes a pinhole creation laser having an optical output directed along a pinhole creation path and an absorbing material positioned along both the first laser beam extraction path and the pinhole creation path. The system further includes a mechanism operable to translate the absorbing material in a direction crossing the first laser beam extraction laser path and a controller operable to modulate the second laser beam.

  14. Limit Distribution of Averages over Unstable Periodic Orbits Forming Chaotic Attractor

    E-Print Network [OSTI]

    Denis S. Goldobin

    2012-08-08T23:59:59.000Z

    We address the question of representativeness of a single long unstable periodic orbit for properties of the chaotic attractor it is embedded in. Y. Saiki and M. Yamada [Phys. Rev. E 79, 015201(R) (2009)] have recently suggested the hypothesis that there exist a limit distribution of averages over unstable periodic orbits with given number of loops, N, which is not a Dirac delta-function for infinitely long orbits. In this paper we show that the limit distribution is actually a delta-function and standard deviations decay as 1/sqrt(N) for large enough N.

  15. High Average Power Laser Gain Medium With Low Optical Distortion Using A Transverse Flowing Liquid Host

    DOE Patents [OSTI]

    Comaskey, Brian J. (Walnut Creek, CA); Ault, Earl R. (Livermore, CA); Kuklo, Thomas C. (Oakdale, CA)

    2005-07-05T23:59:59.000Z

    A high average power, low optical distortion laser gain media is based on a flowing liquid media. A diode laser pumping device with tailored irradiance excites the laser active atom, ion or molecule within the liquid media. A laser active component of the liquid media exhibits energy storage times longer than or comparable to the thermal optical response time of the liquid. A circulation system that provides a closed loop for mixing and circulating the lasing liquid into and out of the optical cavity includes a pump, a diffuser, and a heat exchanger. A liquid flow gain cell includes flow straighteners and flow channel compression.

  16. Fact #615: March 22, 2010 Average Vehicle Trip Length | Department of

    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 DataDepartment of Energy Your Density Isn't YourTransport in RepresentativeDepartment of EnergyEnergy 5: March 22, 2010 Average

  17. Average household expected to save $675 at the pump in 2015

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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, Wisconsin:Deployment ActivitiesAge Refining Air1,D O E /drivers toAverage

  18. Table 10. Average Price of U.S. Steam Coal Exports

    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,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910. Average Price

  19. Table 12. Average Price of U.S. Metallurgical Coal Exports

    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,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910. Average

  20. "Table A25 Average Prices of Selected Purchased Energy Sources by Census"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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. AppliancesTotal" "(Data1.30. Total6. Average