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Sample records for ivory coast-are expected

  1. Ivory Coast: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8,Open EnergyIssaquah, Washington:ItochuIvec PtyIvoryIvory

  2. Ivory Coast: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8,Open EnergyIssaquah, Washington:ItochuIvec PtyIvory

  3. Hoarded Treasures: The Megiddo Ivories and the End of the Bronze Age

    E-Print Network [OSTI]

    Feldman, Marian

    2009-01-01

    to excavation publication, Barnett 1982, 37, pl. 30d). Smallwas later dismissed by Barnett (1982, 25), who countered, …from one another. As Barnett rightly states, ivories formed

  4. September/October 2006 Out of the Ivory Tower Safety of HFCS GM plants: GM-less Pollen

    E-Print Network [OSTI]

    Ishida, Yuko

    _____________________________________________________________________________ Out of the Ivory Tower Safety of HFCS GM plants: GM-less Pollen Colony Condition ­ CA/US CSBA

  5. Beyond the ivory tower : in search of a new form for campus-community relationships

    E-Print Network [OSTI]

    Bowman, Anne (Anne Renee)

    2011-01-01

    The terms "ivory tower" and "town-gown" have long been used to characterize the relationship between institutions of higher education and the communities in which they reside. While these adversarial phrases reflect the ...

  6. Energy assessment of Ivory Coast, Morocco, Nigeria, and Senegal

    SciTech Connect (OSTI)

    Ghirardi, A.; Sathaye, J.; Goering, P.

    1986-11-01

    This report is an overview of the energy market in four West African countries: The Ivory Coast, Morocco, Nigeria, and Senegal. We feel these countries are representative of the West African region. Together they account for 75% of the total energy use in West Africa, 78% of GDP, and 76% of population. The purpose of the study is to analyze the evolution of energy demand in the context of the general socio-economic background of the region. The study also examines energy supply and trade related to the energy sector. The analysis focuses on the study of commercial fuels. Although we have reviewed studies of wood, solar, wind, and agricultural residues, we leave out detailed discussions of these non-commercial energy forms. The first part of the report is an assessment of the trends in energy demand in the four study countries. We discuss the main factors driving energy demand sector by sector. This is followed by a review of the primary energy resources of the countries, and of the capacity for production of secondary fuels. The last section looks at energy trade, with particular emphasis on the role of the United States.

  7. APS Forum on Education Fall 2008 Newsletter Page 22 Away from the ivory tower: Real challenges teaching high

    E-Print Network [OSTI]

    Steinberg, Richard N.

    #12;APS Forum on Education Fall 2008 Newsletter Page 22 Away from the ivory tower: Real challenges teaching high school physics in an urban environment Richard Steinberg For the 2007-08 school year, I took a sabbatical and became a full time high school physics teacher in a public high

  8. Seismic Design Expectations Report

    Office of Environmental Management (EM)

    flood, and lightning. This report only focuses on the seismic design expectations. NPH safety requirements are described in 10 CFR Part 830, Nuclear Safety Management, DOE O...

  9. Expectations across entertainment media

    E-Print Network [OSTI]

    Austin, Alexander Chance

    2007-01-01

    An audience's satisfaction with an entertainment product is dependent on how well their expectations are fulfilled. This study delves into the implicit contract that is formed between the purveyor of an entertainment ...

  10. Performance expectation plan

    SciTech Connect (OSTI)

    Ray, P.E.

    1998-09-04

    This document outlines the significant accomplishments of fiscal year 1998 for the Tank Waste Remediation System (TWRS) Project Hanford Management Contract (PHMC) team. Opportunities for improvement to better meet some performance expectations have been identified. The PHMC has performed at an excellent level in administration of leadership, planning, and technical direction. The contractor has met and made notable improvement of attaining customer satisfaction in mission execution. This document includes the team`s recommendation that the PHMC TWRS Performance Expectation Plan evaluation rating for fiscal year 1998 be an Excellent.

  11. New standard exceeds expectations

    SciTech Connect (OSTI)

    Bennett, M.J. (Environmental Data Resources Inc., Southport, CT (United States))

    1993-08-01

    The new ASTM environmental due diligence standard is delivering far more than expected when it was conceived in 1990. Its use goes well beyond the relatively narrow legal liability protection that was the primary goal in its development. The real estate industry, spearheaded by the lending community, was preoccupied with environmental risk and liability. Lenders throughout the concept's evolution have been at the forefront in defining environmental due diligence. The lender liability rule is intended to protect property owners from CERCLA liability for property they own or companies they manage (for example, as a result of foreclosure). The new site assessment standard increasingly is considered a benchmark for prudent environmental due diligence in the interest of risk management, not legal liability. The focus on risk management, including collateral devaluation and corporate credit risk, are becoming dominant areas of policy focus in the lending industry. Lenders now are revising their policies to incorporate transactions beyond issues of real estate, in which a company's economic viability and ability to service debt could be impacted by an environmental problem unrelated to property transfers.

  12. Status Characteristics and Expectation States 

    E-Print Network [OSTI]

    Berger, Joseph; Cohen, Bernard P.; Zelditch, Morris Jr.

    2015-07-19

    -Type text/plain; charset=UTF-8 STATUS CHARACTERISTICS AND EXPECTATION STATES* Joseph Berger Bernard P. Cohen Morris Zelditch, Jr. Research for this paper was conducted with the support of NSF grant #G23990? for investigation of authority...

  13. Alternative Break Participant Expectations 2014-2015

    E-Print Network [OSTI]

    Tipple, Brett

    Alternative Break Participant Expectations 2014-2015 (These expectations apply for all Participants Social Justice 101 or 201 Training Pay for Alternative Break experience prior to departure and on time and procedures as they apply to the Alternative Break experience. Individuals are expected to remain substance

  14. Does Schooling Give Us Rational Expectations?

    E-Print Network [OSTI]

    Shenoy, Ajay

    2015-01-01

    of Edmund S. Phelps :25. DOES SCHOOLING GIVE US RATIONALDoes Schooling Give Us Rational Expectations? Ajay Shenoy ?from four years to six. DOES SCHOOLING GIVE US RATIONAL

  15. Expectations of two-level telegraph noise

    E-Print Network [OSTI]

    Jesse Fern

    2006-11-02

    We find expectation values of functions of time integrated two-level telegraph noise. Expectation values of this noise are evaluated under simple control pulses. Both the Gaussian limit and $1/f$ noise are considered. We apply the results to a specific superconducting quantum computing example, which illustrates the use of this technique for calculating error probabilities.

  16. TIGHT BOUNDS ON EXPECTED ORDER STATISTICS

    E-Print Network [OSTI]

    Bertsimas, Dimitris

    TIGHT BOUNDS ON EXPECTED ORDER STATISTICS DIIIMMMIIITTTRRRIIISSS BEEERRRTTTSSSIIIMMMAAASSS Sloan@nus.edu.sg In this article, we study the problem of finding tight bounds on the expected value of the kth-order statistic E of the highest-order statistic E @Xn:n# can be computed with a bisection search algo- rithm+ An extremal discrete

  17. Expectation, explanation and masting Andrew J. Kerkhoff*

    E-Print Network [OSTI]

    Kerkhoff, Andrew J.

    Masting is the synchronous, episodic production of large seed crops by perennial plant populations of scale, where the benefit of large, synchronous reproductive events accrues by overcoming some must carefully consider their expectations before generating and testing explanations for observed

  18. An expectation model of referring expressions

    E-Print Network [OSTI]

    Kræmer, John, Ph. D. Massachusetts Institute of Technology

    2010-01-01

    This thesis introduces EMRE, an expectation-based model of referring expressions. EMRE is proposed as a model of non-syntactic dependencies - in particular, discourse-level semantic dependencies that bridge sentence gaps. ...

  19. Driver expectancy in locating automotive controls 

    E-Print Network [OSTI]

    Francis, Dawn Suzette

    1990-01-01

    DRIVER EXPECTANCY IN LOCATING AUTOMOTIVE CONTROLS A Thesis by DAWN SUZETTE FRANCIS Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 1990... Major Subject: Industrial Engineering DRIVER EXPECTANCY IN LOCATING AUTOMOTIVE CONTROLS A Thesis by DAWN SUZETTE FRANCIS Approved as to style and content by: R. Dale Huchi son (Chair of Committee) Rodger . . ppa (Member) Waymon L ohnston (M er...

  20. WRITING EXPECTED LEARNING OUTCOMES FOR AWRITING EXPECTED LEARNING OUTCOMES FOR A COURSECOURSE

    E-Print Network [OSTI]

    Rock, Chris

    for a course, it is a good idea to think broadly. Course-level expected learning outcomes do not need to focus will know). Be sure to include learning outcomes that describe what the student can do and who they are2424 WRITING EXPECTED LEARNING OUTCOMES FOR AWRITING EXPECTED LEARNING OUTCOMES FOR A COURSECOURSE

  1. A Bibliography of Expectation States Research 

    E-Print Network [OSTI]

    Berger, Joseph; Zelditch, Morris Jr

    2015-08-15

    -Type text/plain; charset=UTF-8 ANFORD, CALIFORNIA A BIBLIOGRAPHY OF EXPECTATION STATES RESEARCH Prepared by JOSEPH BERGER MORRIS ZELDITCH, JR. Department of Sociology Stanford University September 1978 Technical Report No. 67 This is a..., Stanford University, August, 1978 A BIBLIOGRAPHY OF EXPECTATION STATES RESEARCH Adams,K.A. and A.D.Landers 1978 "Sex Differences in Dominance Behavior.” Sex Roles, Vol. 4, No. 2. Anderson,B., J.Berger, B.P.Cohen and M.Zelditch Jr. 1966 "Status Classes...

  2. Perspective Great Expectations: Using Whole-Brain

    E-Print Network [OSTI]

    Deco, Gustavo

    Neuron Perspective Great Expectations: Using Whole-Brain Computational Connectomics for Understanding Neuropsychiatric Disorders Gustavo Deco1,2,* and Morten L. Kringelbach3,4 1Center for Brain://dx.doi.org/10.1016/j.neuron.2014.08.034 The study of human brain networks with in vivo neuroimaging has given

  3. Verification of automotive networks -what to expect (and not expect) from each

    E-Print Network [OSTI]

    Navet, Nicolas

    Verification of automotive networks - what to expect (and not expect) from each technique Nicolas NAVET ­ nicolas.navet@uni.lu "Automotive Bus systems + Ethernet" Stuttgart, Germany, December 9-11, 2013. December 09, 2013 #12;1 Outline - 212/11/2013Automotive Bus systems + Ethernet Early-stage timing

  4. Performance Expectations and Behavior in Small Groups 

    E-Print Network [OSTI]

    Berger, Joseph; Conner, Thomas L.

    2015-07-21

    .pdf.txt Content-Type text/plain; charset=UTF-8 Performance Expectations and Behavior in Small Groups* Joseph Berger Thomas Conner September, 1966 TECHNICAL REPORT #18 *Research for this paper was supported in large part by grants from the National... on both initiation and receipt of interaction. Following the line of reasoning given above, we can speculate that through time those in­ dividuals v.iiose contributions were more positively evaluated were increas­ ingly given more opportunities...

  5. Setting clear expectations for safety basis development

    SciTech Connect (OSTI)

    MORENO, M.R.

    2003-05-03

    DOE-RL has set clear expectations for a cost-effective approach for achieving compliance with the Nuclear Safety Management requirements (10 CFR 830, Nuclear Safety Rule) which will ensure long-term benefit to Hanford. To facilitate implementation of these expectations, tools were developed to streamline and standardize safety analysis and safety document development resulting in a shorter and more predictable DOE approval cycle. A Hanford Safety Analysis and Risk Assessment Handbook (SARAH) was issued to standardized methodologies for development of safety analyses. A Microsoft Excel spreadsheet (RADIDOSE) was issued for the evaluation of radiological consequences for accident scenarios often postulated for Hanford. A standard Site Documented Safety Analysis (DSA) detailing the safety management programs was issued for use as a means of compliance with a majority of 3009 Standard chapters. An in-process review was developed between DOE and the Contractor to facilitate DOE approval and provide early course correction. As a result of setting expectations and providing safety analysis tools, the four Hanford Site waste management nuclear facilities were able to integrate into one Master Waste Management Documented Safety Analysis (WM-DSA).

  6. The expected anisotropy in solid inflation

    E-Print Network [OSTI]

    Nicola Bartolo; Marco Peloso; Angelo Ricciardone; Caner Unal

    2014-07-30

    Solid inflation is an effective field theory of inflation in which isotropy and homogeneity are accomplished via a specific combination of anisotropic sources (three scalar fields that individually break isotropy). This results in specific observational signatures that are not found in standard models of inflation: a non-trivial angular dependence for the squeezed bispectrum, and a possibly long period of anisotropic inflation (to drive inflation, the "solid" must be very insensitive to any deformation, and thus background anisotropies are very slowly erased). In this paper we compute the expected level of statistical anisotropy in the power spectrum of the curvature perturbations of this model. To do so, we account for the classical background values of the three scalar fields that are generated on large (superhorizon) scales during inflation via a random walk sum, as the perturbation modes leave the horizon. Such an anisotropy is unavoidably generated, even starting from perfectly isotropic classical initial conditions. The expected level of anisotropy is related to the duration of inflation and to the amplitude of the squeezed bispectrum. If this amplitude is close to its current observational limit (so that one of the most interesting predictions of the model can be observed in the near future), we find that a level of statistical anisotropy $\\gtrsim 3\\%$ in the power spectrum is to be expected, if inflation lasted $\\gtrsim 20-30$ e-folds more than the final $50-60$ efolds required to generare the CMB modes. We also comment and point out various similarities between solid inflation and models of inflation where a suitable coupling of the inflaton to a vector kinetic term $F^{2}$ gives frozen and scale invariant vector perturbations on superhorizon scales.

  7. ARM - Guidelines : Expectations of Principal Investigators

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments? WeDatastreamstps DocumentationAtlanticENAField Participants CampaignExpectations of Principal

  8. The expected anisotropy in solid inflation

    SciTech Connect (OSTI)

    Bartolo, Nicola; Ricciardone, Angelo; Peloso, Marco; Unal, Caner E-mail: peloso@physics.umn.edu E-mail: unal@physics.umn.edu

    2014-11-01

    Solid inflation is an effective field theory of inflation in which isotropy and homogeneity are accomplished via a specific combination of anisotropic sources (three scalar fields that individually break isotropy). This results in specific observational signatures that are not found in standard models of inflation: a non-trivial angular dependence for the squeezed bispectrum, and a possibly long period of anisotropic inflation (to drive inflation, the ''solid'' must be very insensitive to any deformation, and thus background anisotropies are very slowly erased). In this paper we compute the expected level of statistical anisotropy in the power spectrum of the curvature perturbations of this model. To do so, we account for the classical background values of the three scalar fields that are generated on large (superhorizon) scales during inflation via a random walk sum, as the perturbation modes leave the horizon. Such an anisotropy is unavoidably generated, even starting from perfectly isotropic classical initial conditions. The expected level of anisotropy is related to the duration of inflation and to the amplitude of the squeezed bispectrum. If this amplitude is close to its current observational limit (so that one of the most interesting predictions of the model can be observed in the near future), we find that a level of statistical anisotropy F{sup 2} gives frozen and scale invariant vector perturbations on superhorizon scales.

  9. Chapter 5. Measurements of Expectations: The Maryland Physics Expectations (MPEX) Survey

    E-Print Network [OSTI]

    Maryland at College Park, University of

    . OVERVIEW A. What are Expectations? In chapter 2, several examples were used from the Physics Education slates. In the previous chapter, we showed that concept tests like the FCI1 and FMCE2 have determined that many students have common sense beliefs about physics concepts that can hinder their learning

  10. Letters of Expectation for Campus Alberta November 7, 2013

    E-Print Network [OSTI]

    Calgary, University of

    1 Fact sheet Letters of Expectation for Campus Alberta November 7, 2013 Letters of Expectation Alberta system. The Letters of Expectation were first introduced in Budget 2013 and these are the first-month collaborative process among the government and all 26 Campus Alberta post-secondary institutions. Each letter

  11. NRC Leadership Expectations and Practices for Sustaining a High...

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

    NRC Mission Safety Culture NRC Oversight NRC Inspection Program Technical Qualification Continuous Learning NRC Leadership Expectations and Practices for Sustaining a High...

  12. Scientists detect methane levels three times larger than expected...

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

    methane that actually preceded recent concerns about potential emissions from fracking," Dubey said. Scientists detect methane levels three times larger than expected over...

  13. Expected Technological Innovation to Drive Global Market for...

    Open Energy Info (EERE)

    systems in terms of various end use segments, which include industrial, commercial and residential markets for microturbines. The commercial end use segment is expected to drive...

  14. Finding True Beliefs: Applying Rank-Dependent Expected Utility Theory

    E-Print Network [OSTI]

    Chen, Yiling

    -making that incorporates probability weighting and non-linear utility functions, to the analysis of the quadratic scoringFinding True Beliefs: Applying Rank-Dependent Expected Utility Theory to Proper Scoring Rules-value maximizers. Thus, we apply rank-dependent expected utility theory, a more general model of decision

  15. A Stochastic Theory for Self-Other Expectations 

    E-Print Network [OSTI]

    Berger, Joseph; Snell, J. Laurie

    2015-07-06

    This technical report introduces the concept of self-other expectations (Joseph Berger’s [1958] dissertation also includes that term, although defined slightly differently), and develops propositions about their behavioral consequences. It presents...

  16. Floating Production Systems Market Is Expected To Reach USD 38...

    Open Energy Info (EERE)

    Production Systems Market Is Expected To Reach USD 38,752.7 Million Globally By 2019 Home > Groups > Future of Condition Monitoring for Wind Turbines Wayne31jan's picture...

  17. Expectation Engineering & Technology Management MBA MS in Engineering Learning

    E-Print Network [OSTI]

    Selmic, Sandra

    Expectation Engineering & Technology Management MBA MS in Engineering Learning Opportunities Enhances technical and business management skills Enhanced://coes.latech.edu/assets/Engineering- Management-Degree-Curriculum- 11_29_12.pdf 30 hours (no concentration) 36 hours

  18. Extended space expectation values in quantum dynamical system evolutions

    SciTech Connect (OSTI)

    Demiralp, Metin

    2014-10-06

    The time variant power series expansion for the expectation value of a given quantum dynamical operator is well-known and well-investigated issue in quantum dynamics. However, depending on the operator and Hamiltonian singularities this expansion either may not exist or may not converge for all time instances except the beginning of the evolution. This work focuses on this issue and seeks certain cures for the negativities. We work in the extended space obtained by adding all images of the initial wave function under the system Hamiltonian’s positive integer powers. This requires the introduction of certain appropriately defined weight operators. The resulting better convergence in the temporal power series urges us to call the new defined entities “extended space expectation values” even though they are constructed over certain weight operators and are somehow pseudo expectation values.

  19. Completing an Honors Thesis in Visual Arts Honors Thesis Expectations

    E-Print Network [OSTI]

    Martinez, Tony R.

    Completing an Honors Thesis in Visual Arts Honors Thesis Expectations An Honors thesis scholarship in your chosen area. This means that your thesis will probably be the most involved thesis, but it will usually contain both a review of scholarship in the field, as well as your own

  20. Expected Approximation Guarantees for the Demand Matching Problem

    E-Print Network [OSTI]

    Boucher, Christina

    Expected Approximation Guarantees for the Demand Matching Problem C. Boucher D. Loker September 2006 Abstract The objective of the demand matching problem is to obtain the subset M of edges which if for each vertex v the total demand of edges in M incident to v is at most bv. In the case where each

  1. Exact Expectation Analysis of the LMS Adaptive Filter \\Lambda

    E-Print Network [OSTI]

    Douglas, Scott C.

    Exact Expectation Analysis of the LMS Adaptive Filter \\Lambda Scott C. Douglas y and Weimin Pan analyses of the least­mean­square (LMS) adaptive filter, it is assumed that the filter coefficients that can be used to predict the exact statistical behavior of a finite­impulse­response (FIR) LMS adaptive

  2. Eddy-current testing with the Expected Improvement optimization algorithm

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Eddy-current testing with the Expected Improvement optimization algorithm S´andor Bilicz , Emmanuel presents an inverse problem methodology in the domain of non-destructive testing, and more precisely eddy-current in the light of preliminary numerical examples obtained using synthetic data. Keywords: eddy current testing

  3. The Volatility of Liquidity and Expected Stock Returns 

    E-Print Network [OSTI]

    Akbas, Ferhat 1981-

    2011-07-29

    The pricing of total liquidity risk is studied in the cross-section of stock returns. The study suggests that there is a positive relation between total volatility of liquidity and expected returns. Our measure of liquidity is based on Amihud...

  4. Analyzing Facebook Privacy Settings: User Expectations vs. Reality

    E-Print Network [OSTI]

    Gummadi, Krishna P.

    Analyzing Facebook Privacy Settings: User Expectations vs. Reality Yabing Liu Northeastern of personal data has emerged as a popular ac- tivity over online social networking sites like Facebook- tween the desired and actual privacy settings, quantifying the magnitude of the problem of managing

  5. Mitigating Climate Change with Managed Forests: Balancing Expectations,

    E-Print Network [OSTI]

    Vermont, University of

    Mitigating Climate Change with Managed Forests: Balancing Expectations, Opportunity, and Risk David and biomass energy) and di- rect substitution for more energy-intensive building mate- rials (e.g., concrete effect (but accounting for storage), intensive approaches do not ap- pear to compare favorably with more

  6. Vacuum Expectation Values of Twisted Mass Fermion Operators

    E-Print Network [OSTI]

    Abdou Abdel-Rehim; Randy Lewis; Walter Wilcox

    2007-10-23

    Using noise methods on a quenched $20^3 \\times 32$ lattice at $\\beta=6.0$, we have investigated vacuum expectation values and relative linear correlations among the various Wilson and twisted mass scalar and pseudoscalar disconnected loop operators. We show results near the maximal twist lines in $\\kappa$, $\\mu$ parameter space, either defined as the absence of parity mixing or the vanishing of the PCAC quark mass.

  7. Ivory (soap) Flakes and historic artifacts

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATIONIntroducing theActivation byIs aItem Not Found Item

  8. Florida Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWells (MillionProved Reserves (Billion CubicExpected

  9. Kansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillionReserves (Billion Cubic+ LeaseExpected Future

  10. Kentucky Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillionReservesReserves (BillionCoalbed+Expected

  11. Louisiana--State Offshore Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential ConsumersProduction (Million Barrels) Expected Future

  12. Michigan Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014 MEMORANDUMProved Reserves (Billion CubicExpected

  13. Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers THURSDAY,Proved Reserves (BillionExpected

  14. Alaska Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers4.32 4.46ProductionCrude Oil + LeaseExpected

  15. Arkansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona - Natural GasYear Jan FebProvedExpected

  16. Colorado Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic Feet) Gas Wells (Million7ProvedExpected

  17. Ohio Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3+ Lease Condensate Proved ReservesExpected

  18. Oklahoma Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3+ LeaseWellhead PriceProvedExpected Future

  19. Montana Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014Proved ReservesFoot)Year JanProvedExpected

  20. Utah Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData20092009 2010Feet)2. Number+ LeaseExpected

  1. Wyoming Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1Expected Future Production (Billion Cubic

  2. Wyoming Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1Expected

  3. Expectations of Mentors and Mentees | Argonne National Laboratory

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submitKansasCommunitiesof Energy8) WignerEnergyAbout UsExpectations of

  4. Expected brine movement at potential nuclear waste repository salt sites

    SciTech Connect (OSTI)

    McCauley, V.S.; Raines, G.E.

    1987-08-01

    The BRINEMIG brine migration code predicts rates and quantities of brine migration to a waste package emplaced in a high-level nuclear waste repository in salt. The BRINEMIG code is an explicit time-marching finite-difference code that solves a mass balance equation and uses the Jenks equation to predict velocities of brine migration. Predictions were made for the seven potentially acceptable salt sites under consideration as locations for the first US high-level nuclear waste repository. Predicted total quantities of accumulated brine were on the order of 1 m/sup 3/ brine per waste package or less. Less brine accumulation is expected at domal salt sites because of the lower initial moisture contents relative to bedded salt sites. Less total accumulation of brine is predicted for spent fuel than for commercial high-level waste because of the lower temperatures generated by spent fuel. 11 refs., 36 figs., 29 tabs.

  5. Siting Samplers to Minimize Expected Time to Detection

    SciTech Connect (OSTI)

    Walter, Travis; Lorenzetti, David M.; Sohn, Michael D.

    2012-05-02

    We present a probabilistic approach to designing an indoor sampler network for detecting an accidental or intentional chemical or biological release, and demonstrate it for a real building. In an earlier paper, Sohn and Lorenzetti(1) developed a proof of concept algorithm that assumed samplers could return measurements only slowly (on the order of hours). This led to optimal detect to treat architectures, which maximize the probability of detecting a release. This paper develops a more general approach, and applies it to samplers that can return measurements relatively quickly (in minutes). This leads to optimal detect to warn architectures, which minimize the expected time to detection. Using a model of a real, large, commercial building, we demonstrate the approach by optimizing networks against uncertain release locations, source terms, and sampler characteristics. Finally, we speculate on rules of thumb for general sampler placement.

  6. Expected Performance of the ATLAS Experiment - Detector, Trigger and Physics

    SciTech Connect (OSTI)

    Aad, G.; Abat, E.; Abbott, B.; Abdallah, J.; Abdelalim, A.A.; Abdesselam, A.; Abdinov, O.; Abi, B.; Abolins, M.; Abramowicz, H.; Acharya, Bobby Samir; Adams, D.L.; Addy, T.N.; Adorisio, C.; Adragna, P.; Adye, T.; Aguilar-Saavedra, J.A.; Aharrouche, M.; Ahlen, S.P.; Ahles, F.; Ahmad, A.; /SUNY, Albany /Alberta U. /Ankara U. /Annecy, LAPP /Argonne /Arizona U. /Texas U., Arlington /Athens U. /Natl. Tech. U., Athens /Baku, Inst. Phys. /Barcelona, IFAE /Belgrade U. /VINCA Inst. Nucl. Sci., Belgrade /Bergen U. /LBL, Berkeley /Humboldt U., Berlin /Bern U., LHEP /Birmingham U. /Bogazici U. /INFN, Bologna /Bologna U.

    2011-11-28

    The Large Hadron Collider (LHC) at CERN promises a major step forward in the understanding of the fundamental nature of matter. The ATLAS experiment is a general-purpose detector for the LHC, whose design was guided by the need to accommodate the wide spectrum of possible physics signatures. The major remit of the ATLAS experiment is the exploration of the TeV mass scale where groundbreaking discoveries are expected. In the focus are the investigation of the electroweak symmetry breaking and linked to this the search for the Higgs boson as well as the search for Physics beyond the Standard Model. In this report a detailed examination of the expected performance of the ATLAS detector is provided, with a major aim being to investigate the experimental sensitivity to a wide range of measurements and potential observations of new physical processes. An earlier summary of the expected capabilities of ATLAS was compiled in 1999 [1]. A survey of physics capabilities of the CMS detector was published in [2]. The design of the ATLAS detector has now been finalised, and its construction and installation have been completed [3]. An extensive test-beam programme was undertaken. Furthermore, the simulation and reconstruction software code and frameworks have been completely rewritten. Revisions incorporated reflect improved detector modelling as well as major technical changes to the software technology. Greatly improved understanding of calibration and alignment techniques, and their practical impact on performance, is now in place. The studies reported here are based on full simulations of the ATLAS detector response. A variety of event generators were employed. The simulation and reconstruction of these large event samples thus provided an important operational test of the new ATLAS software system. In addition, the processing was distributed world-wide over the ATLAS Grid facilities and hence provided an important test of the ATLAS computing system - this is the origin of the expression 'CSC studies' ('computing system commissioning'), which is occasionally referred to in these volumes. The work reported does generally assume that the detector is fully operational, and in this sense represents an idealised detector: establishing the best performance of the ATLAS detector with LHC proton-proton collisions is a challenging task for the future. The results summarised here therefore represent the best estimate of ATLAS capabilities before real operational experience of the full detector with beam. Unless otherwise stated, simulations also do not include the effect of additional interactions in the same or other bunch-crossings, and the effect of neutron background is neglected. Thus simulations correspond to the low-luminosity performance of the ATLAS detector. This report is broadly divided into two parts: firstly the performance for identification of physics objects is examined in detail, followed by a detailed assessment of the performance of the trigger system. This part is subdivided into chapters surveying the capabilities for charged particle tracking, each of electron/photon, muon and tau identification, jet and missing transverse energy reconstruction, b-tagging algorithms and performance, and finally the trigger system performance. In each chapter of the report, there is a further subdivision into shorter notes describing different aspects studied. The second major subdivision of the report addresses physics measurement capabilities, and new physics search sensitivities. Individual chapters in this part discuss ATLAS physics capabilities in Standard Model QCD and electroweak processes, in the top quark sector, in b-physics, in searches for Higgs bosons, supersymmetry searches, and finally searches for other new particles predicted in more exotic models.

  7. Monte Carlo: in the beginning and some great expectations

    SciTech Connect (OSTI)

    Metropolis, N.

    1985-01-01

    The central theme will be on the historical setting and origins of the Monte Carlo Method. The scene was post-war Los Alamos Scientific Laboratory. There was an inevitability about the Monte Carlo Event: the ENIAC had recently enjoyed its meteoric rise (on a classified Los Alamos problem); Stan Ulam had returned to Los Alamos; John von Neumann was a frequent visitor. Techniques, algorithms, and applications developed rapidly at Los Alamos. Soon, the fascination of the Method reached wider horizons. The first paper was submitted for publication in the spring of 1949. In the summer of 1949, the first open conference was held at the University of California at Los Angeles. Of some interst perhaps is an account of Fermi's earlier, independent application in neutron moderation studies while at the University of Rome. The quantum leap expected with the advent of massively parallel processors will provide stimuli for very ambitious applications of the Monte Carlo Method in disciplines ranging from field theories to cosmology, including more realistic models in the neurosciences. A structure of multi-instruction sets for parallel processing is ideally suited for the Monte Carlo approach. One may even hope for a modest hardening of the soft sciences.

  8. Why the Earth has not warmed as much as expected?

    SciTech Connect (OSTI)

    Schwartz, S.E.

    2010-05-01

    The observed increase in global mean surface temperature (GMST) over the industrial era is less than 40% of that expected from observed increases in long-lived greenhouse gases together with the best-estimate equilibrium climate sensitivity given by the 2007 Assessment Report of the Intergovernmental Panel on Climate Change. Possible reasons for this warming discrepancy are systematically examined here. The warming discrepancy is found to be due mainly to some combination of two factors: the IPCC best estimate of climate sensitivity being too high and/or the greenhouse gas forcing being partially offset by forcing by increased concentrations of atmospheric aerosols; the increase in global heat content due to thermal disequilibrium accounts for less than 25% of the discrepancy, and cooling by natural temperature variation can account for only about 15%. Current uncertainty in climate sensitivity is shown to preclude determining the amount of future fossil fuel CO2 emissions that would be compatible with any chosen maximum allowable increase in GMST; even the sign of such allowable future emissions is unconstrained. Resolving this situation, by empirical determination of the earth's climate sensitivity from the historical record over the industrial period or through use of climate models whose accuracy is evaluted by their performance over this period, is shown to require substantial reduction in the uncertainty of aerosol forcing over this period.

  9. Why hasn't earth warmed as much as expected?

    SciTech Connect (OSTI)

    Schwartz, S.E.; Charlson, R.; Kahn, R.; Ogren, J.; Rodhe, H.

    2010-03-15

    The observed increase in global mean surface temperature (GMST) over the industrial era is less than 40% of that expected from observed increases in long-lived greenhouse gases together with the best-estimate equilibrium climate sensitivity given by the 2007 Assessment Report of the Intergovernmental Panel on Climate Change. Possible reasons for this warming discrepancy are systematically examined here. The warming discrepancy is found to be due mainly to some combination of two factors: the IPCC best estimate of climate sensitivity being too high and/or the greenhouse gas forcing being partially offset by forcing by increased concentrations of atmospheric aerosols; the increase in global heat content due to thermal disequilibrium accounts for less than 25% of the discrepancy, and cooling by natural temperature variation can account for only about 15%. Current uncertainty in climate sensitivity is shown to preclude determining the amount of future fossil fuel CO2 emissions that would be compatible with any chosen maximum allowable increase in GMST; even the sign of such allowable future emissions is unconstrained. Resolving this situation by empirical determination of Earth’s climate sensitivity from the historical record over the industrial period or through use of climate models whose accuracy is evaluated by their performance over this period is shown to require substantial reduction in the uncertainty of aerosol forcing over this period.

  10. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    SciTech Connect (OSTI)

    Goldman, Charles; Fuller, Merrian C.; Stuart, Elizabeth; Peters, Jane S.; McRae, Marjorie; Albers, Nathaniel; Lutzenhiser, Susan; Spahic, Mersiha

    2010-03-22

    The energy efficiency services sector (EESS) is poised to become an increasingly important part of the U.S. economy. Climate change and energy supply concerns, volatile and increasing energy prices, and a desire for greater energy independence have led many state and national leaders to support an increasingly prominent role for energy efficiency in U.S. energy policy. The national economic recession has also helped to boost the visibility of energy efficiency, as part of a strategy to support economic recovery. We expect investment in energy efficiency to increase dramatically both in the near-term and through 2020 and beyond. This increase will come both from public support, such as the American Recovery and Reinvestment Act (ARRA) and significant increases in utility ratepayer funds directed toward efficiency, and also from increased private spending due to codes and standards, increasing energy prices, and voluntary standards for industry. Given the growing attention on energy efficiency, there is a concern among policy makers, program administrators, and others that there is an insufficiently trained workforce in place to meet the energy efficiency goals being put in place by local, state, and federal policy. To understand the likelihood of a potential workforce gap and appropriate response strategies, one needs to understand the size, composition, and potential for growth of the EESS. We use a bottom-up approach based upon almost 300 interviews with program administrators, education and training providers, and a variety of EESS employers and trade associations; communications with over 50 sector experts; as well as an extensive literature review. We attempt to provide insight into key aspects of the EESS by describing the current job composition, the current workforce size, our projections for sector growth through 2020, and key issues that may limit this growth.

  11. What to Expect When Readying to Move Spent Nuclear Fuel from...

    Energy Savers [EERE]

    What to Expect When Readying to Move Spent Nuclear Fuel from Commercial Nuclear Power Plants What to Expect When Readying to Move Spent Nuclear Fuel from Commercial Nuclear Power...

  12. UPDATED Year One Self-Evaluation Report Standard One: Mission, Core Themes, and Expectations

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    UPDATED Year One Self-Evaluation Report Standard One: Mission, Core Themes, and Expectations.................................................................................6 Chapter One ­ Standard One: Mission, Core Themes, and Expectations...........................................................................................................................10 Section 1B. Core Themes

  13. Year One Self-Evaluation Report Standard One: Mission, Core Themes, and Expectations

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    Year One Self-Evaluation Report Standard One: Mission, Core Themes, and Expectations Submitted ...........................................................................12 Chapter One ­ Standard One: Mission, Core Themes, and Expectations..........................................................................................................................20 Section 1B. Core Themes

  14. The expectations and preferences for counseling in groups underutilizing mental health services 

    E-Print Network [OSTI]

    Jacobs, Robert Raymond

    2004-09-30

    and from student organizations at Texas A&M University. The study utilized a version of The Expectations About Counseling - Brief Form to assess both expectations and preferences for counseling. Analysis was conducted using ANOVA to examine differences...

  15. Wind, Hydrogen and other Energy Technologies Similarities and Differences in Expectation Dynamics

    E-Print Network [OSTI]

    Wind, Hydrogen and other Energy Technologies ­ Similarities and Differences in Expectation Dynamics But mostly a "storytelling" on expectations and wind energy Per Dannemand Andersen Head of Technology Scenarios research programme Risoe National Laboratory per.dannemand@risoe.dk #12;Expectations and Wind

  16. Expected Productivity-Based Risk Analysis in Conceptual Design: With Application to the

    E-Print Network [OSTI]

    Expected Productivity-Based Risk Analysis in Conceptual Design: With Application to the Terrestrial;Expected Productivity-Based Risk Analysis in Conceptual Design: With Application to the Terrestrial Planet;3 Expected Productivity-Based Risk Analysis in Conceptual Design: With Application to the Terrestrial Planet

  17. Meeting undergraduate students' expectations of the University experience : how enrollment managers can secure students' loyalties

    E-Print Network [OSTI]

    Shaver, Benjamin J.

    2012-01-01

    depicted in movies such as Animal House. Interestingly, evencollege movies, such as Animal House, had led them to thecollege movies, such as Animal House, were expecting wilder

  18. Availability, usage and expected contribution of potential nursery habitats for the California halibut

    E-Print Network [OSTI]

    Fodrie, Fredrick Joel; Mendoza, Guillermo F.

    2006-01-01

    of a damsel?sh re?ect availability of suitable habitat.locate/ecss Availability, usage and expected contribution ofthe spatial coverage (availability) of all potential nursery

  19. Power and Effective Study Size Based on Approximations to the Expected Likelihood Ratio

    E-Print Network [OSTI]

    Washington at Seattle, University of

    Power and Effective Study Size Based on Approximations to the Expected Likelihood Ratio Test statistical power and precision of heritability estimates can be difficult particularly in complex pedigrees. Previous work focused on the power to detect heritability by using the expectation of the likelihood ratio

  20. Neural Mechanisms of Interference Control in Working Memory: Effects of Interference Expectancy and Fluid

    E-Print Network [OSTI]

    ) Neural Mechanisms of Interference Control in Working Memory: Effects of Interference Expectancy and FluidNeural Mechanisms of Interference Control in Working Memory: Effects of Interference Expectancy and Fluid Intelligence Gregory C. Burgess1 *, Todd S. Braver2 1 Institute of Cognitive Science, University

  1. Department of Geosciences Performance Expectations for the Position of Graduate Teaching

    E-Print Network [OSTI]

    Zhou, Ying

    Department of Geosciences Performance Expectations for the Position of Graduate Teaching Assistant (GTA) Listed below are minimum performance expectations required for successful continuation the 3-half day Graduate School GTA workshop convened the week prior to the beginning of fall term

  2. Cyber Attack Detection in PMU Measurements via the Expectation-Maximization Algorithm

    E-Print Network [OSTI]

    Kundur, Deepa

    Cyber Attack Detection in PMU Measurements via the Expectation-Maximization Algorithm Dongchan Lee in phasor measurement unit (PMU) data using the expectation-maximization algorithm. Power systems today, such as solving the optimal power flow and system estimation problem. The availability of PMU data real-time has

  3. Student Expectations in Introductory Physics Edward F. Redish, Jeffery M. Saul, and Richard N. Steinberg

    E-Print Network [OSTI]

    Maryland at College Park, University of

    improve as a result of a semester of introductory physics. I. INTRODUCTION What students expect1 Student Expectations in Introductory Physics Edward F. Redish, Jeffery M. Saul, and Richard N. Steinberg Department of Physics, University of Maryland, College Park, MD 20742 Students' understanding

  4. Firefighters at Lab on June 5 for Training Program; Expect Congestion...

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

    Firefighters at Lab on June 5 for Training Program; Expect Congestion in CC Parking Lot, Front Atrium Nearly 100 Newport News Firefighters will be at Jefferson Lab on Friday, June...

  5. The Influence of Weight Concerns and Weight Control Expectancies in the Smoking Behavior of Spanish Adolescents 

    E-Print Network [OSTI]

    Berrios-Hernandez, Mayra

    2012-07-16

    ) from schools in Alicante, Spain. The students completed questionnaires regarding smoking history and status. They also responded to questions regarding smoking expectancies and weigh concerns. Results suggested differences between smokers...

  6. Revision date: 11/15/11 Revised by: ACA (GLC) and DAM (TGS) GRADUATE EDUCATION EXPECTATIONS

    E-Print Network [OSTI]

    Revision date: 11/15/11 Revised by: ACA (GLC) and DAM (TGS) GRADUATE EDUCATION EXPECTATIONS/15/11 Revised by: ACA (GLC) and DAM (TGS) 9. Students should show ambition, dedication, and commitment

  7. Research Councils UK Statement of Expectations for Research Fellowships and Future Research Leaders

    E-Print Network [OSTI]

    Research Councils UK Statement of Expectations for Research Fellowships and Future Research Leaders Research Councils' fund fellowships and future research leaders to: attract excellent researchers into excellent UK research environments develop research leaders for the future UK national capability drive

  8. Rutgers University Libraries Information Literacy Goals and Outcome Expectations* General Goal Department Goals and Objectives

    E-Print Network [OSTI]

    Hanson, Stephen José

    Rutgers University Libraries Information Literacy Goals and Outcome Expectations* General Goal Department Goals and Objectives Students will determine the nature and extent of the information needed. Define and articulate the need for information. Identify key concepts and terms that describe

  9. Extreme Value at Risk and Expected Shortfall during Financial Crisis Lancin Kourouma

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    This paper investigates Value at Risk and Expected Shortfall for CAC 40, S&P 500, Wheat and Crude Oil indexes such as the October 1987 stock market crash, the 2000 Internet bubble burst or the 2007 subprime crisis, calls

  10. Surpassing Expectations: State of the U.S. Wind Power Market

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01

    The Annual Report on U.S. Wind Power Installation, Cost, andExpectations: State of the U.S. Wind Power Market IntroSidebar: The U.S. wind industry experienced unprecedented

  11. Artificial Lift Systems Market is expected to reach USD 19,806...

    Open Energy Info (EERE)

    Artificial Lift Systems Market is expected to reach USD 19,806.8 Million by 2020 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150) Contributor...

  12. A lower bound on expected communication cost of quantum state merging

    E-Print Network [OSTI]

    Anurag Anshu

    2015-06-21

    We show a lower bound on expected communication cost of one-way entanglement assisted quantum state merging and a slightly better lower bound for its special case, quantum state transfer. Our bound implies that the expected communication cost of one-way protocols is not significantly better than worst case communication cost, in terms of scaling of error. Our argument is based on a technical tool of convex split, introduced recently in context of quantum state redistribution in Anshu,Jain,Devabathini[2014].

  13. Training Strategies to Mitigate Expectancy-Induced Response Bias in Combat Identification: A Research Agenda

    SciTech Connect (OSTI)

    Greitzer, Frank L.; Andrews, Dee H.

    2009-12-01

    Historical assessments of combat fratricide reveal principal contributing factors in the effects of stress, continuous operations or sleep deprivation, poor situational awareness, emotions, and lack of training. This paper discusses what and how improvements in combat identification (CID) may be achieved through training. In addition to skill-based training, CID training must focus on countering the negative effects of expectancy in the face of heightened anxiety and stressors of continuous operations that lead to combat errors or fratricide. The paper examines possible approaches to training for overcoming erroneous expectancies and emotional factors that may distort or limit accurate "blue force" identification.

  14. ,"Louisiana Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUndergroundDry Natural Gas ExpectedDry Natural Gas Expected

  15. Modelling of Melt Damage of Tungsten Armour under Multiple Transients Expected in ITER and Validations Against JET-ILW Experiments

    E-Print Network [OSTI]

    Modelling of Melt Damage of Tungsten Armour under Multiple Transients Expected in ITER and Validations Against JET-ILW Experiments

  16. Hamiltonian approach to the dynamics of Ehrenfest expectation values and Gaussian quantum states

    E-Print Network [OSTI]

    Esther Bonet-Luz; Cesare Tronci

    2015-07-09

    The dynamics of quantum expectation values is considered in a geometric setting. First, expectation values of the canonical operators are shown to be equivariant momentum maps for the action of the Heisenberg group on quantum states. Then, the Hamiltonian structure of Ehrenfest's theorem is shown to be Lie-Poisson for a semidirect-product Lie group, named the `Ehrenfest group'. In addition, quantum dynamics is expressed in the frame of the expectation values, in which the latter undergo canonical Hamiltonian motion. In the case of Gaussian states, expectation values dynamics couples to second-order moments, which also enjoy a momentum map structure. Eventually, Gaussian states are shown to possess a Lie-Poisson structure associated to a semidirect-product subgroup of the Ehrenfest group, which is called the Jacobi group. This structure produces new energy-conserving terms in a class of Gaussian moment models (previously appeared in the chemical physics literature) that suffer from lack of energy conservation in the general case.

  17. Guidelines for Meeting Expectations in Faculty Performance College of Agricultural Sciences and Natural Resources

    E-Print Network [OSTI]

    Powers, Robert

    . Purpose of the Evaluation Process A motivated, highly skilled faculty is critical to all scholarly in scholarly outputs related to teaching and/or in efforts to obtain grant funding to support teaching initiatives are expected of faculty with a majority of their appointment in CASNR. Scholarly outputs include

  18. Expected Learning Outcomes for Courses for the Chemistry Major Programs Introduction

    E-Print Network [OSTI]

    Guo, Ting

    with Designated Emphases in Environmental Chemistry and Forensic Chemistry. Student Learning Outcomes The majorExpected Learning Outcomes for Courses for the Chemistry Major Programs Introduction The department of chemistry presently has over 500 undergraduate majors and a small number of minors. Six programs are offered

  19. Secondary organic aerosol formation from anthropogenic air pollution: Rapid and higher than expected

    E-Print Network [OSTI]

    Secondary organic aerosol formation from anthropogenic air pollution: Rapid and higher than (2006), Secondary organic aerosol formation from anthropogenic air pollution: Rapid and higher than expected, Geophys. Res. Lett., 33, L17811, doi:10.1029/ 2006GL026899. [2] Anthropogenic air pollution poses

  20. Completing an Honors Thesis in History What is Expected of an History Honors Thesis?

    E-Print Network [OSTI]

    Martinez, Tony R.

    Completing an Honors Thesis in History What is Expected of an History Honors Thesis? An Honors thesis is a significant scholarly project at the undergraduate level. The thesis should make be less substantial than is required for a graduate thesis. Nevertheless, your thesis should be the most

  1. Completing an Honors Thesis in Mathematics What is expected of an Honors thesis?

    E-Print Network [OSTI]

    Martinez, Tony R.

    Completing an Honors Thesis in Mathematics What is expected of an Honors thesis? An Honors thesis is a significant project in an advanced area of mathematics. A successful thesis should be of publishable quality. The department prefers an Honors thesis to be original work in a recognized field of mathematics. Often a thesis

  2. Completing an Honors Thesis in Microbiology or Molecular What is the Expectation for an Honors Thesis?

    E-Print Network [OSTI]

    Martinez, Tony R.

    Completing an Honors Thesis in Microbiology or Molecular Biology What is the Expectation for an Honors Thesis? Undergraduates in the Honors Program have the opportunity to produce a significant original research work and present it in a formal, written format: the thesis. Often, the work

  3. Completing an Honors Thesis in Nursing What is Expected of an Honors Thesis?

    E-Print Network [OSTI]

    Martinez, Tony R.

    1 Completing an Honors Thesis in Nursing What is Expected of an Honors Thesis? Undergraduates as the Honors Thesis. An Honors Thesis is a significant scholarly project that should make a contribution to existing scholarly literature in your chosen area. Your thesis will probably be the most rewarding

  4. Completing an Honors Thesis in Political Science What is Expected of an Honors Thesis?

    E-Print Network [OSTI]

    Martinez, Tony R.

    1 Completing an Honors Thesis in Political Science What is Expected of an Honors Thesis? An Honors thesis is a significant scholarly project at the undergraduate level. The thesis should make be less substantial than is required for a graduate thesis. This means that your thesis will probably

  5. Risk Analysis, Vol. 19, No. 1, 1999 The Expected Value of Information and the Probability

    E-Print Network [OSTI]

    Shlyakhter, Ilya

    Risk Analysis, Vol. 19, No. 1, 1999 The Expected Value of Information and the Probability of Health Policy and Management and Center for Risk Analysis, School of Public Health, Harvard University 0272-4332/99/0200­0135$16.00/1 © 1999 Society for Risk Analysis Risk Assessment and Risk Management

  6. 1. Devaluation of 100% which is expected to improve the trade balance by making their

    E-Print Network [OSTI]

    for young women without children. In order to provide energy for the EPZ, the government has secured a World1. Devaluation of 100% which is expected to improve the trade balance by making their exports is married to an energy tycoon who is poised to buy out the national gas opera- tion at quite a good rate

  7. Unconscious and out of control: Subliminal priming is insensitive to observer expectations

    E-Print Network [OSTI]

    Handy, Todd C.

    Unconscious and out of control: Subliminal priming is insensitive to observer expectations Erin K their associated responses and that unconscious priming of the motor sys- tem is insensitive to the conscious. Specifically, the model proposes that action triggers are established based on task demands, such that task

  8. Extended space expectation values of position related operators for hydrogen-like quantum system evolutions

    SciTech Connect (OSTI)

    Kalay, Berfin; Demiralp, Metin

    2014-10-06

    The expectation value definitions over an extended space from the considered Hilbert space of the system under consideration is given in another paper of the second author in this symposium. There, in that paper, the conceptuality rather than specification is emphasized on. This work uses that conceptuality to investigate the time evolutions of the position related operators' expectation values not in its standard meaning but rather in a new version of the definition over not the original Hilbert space but in the space obtained by extensions via introducing the images of the given initial wave packet under the positive integer powers of the system Hamiltonian. These images may not be residing in the same space of the initial wave packet when certain singularities appear in the structure of the system Hamiltonian. This may break down the existence of the integrals in the definitions of the expectation values. The cure is the use of basis functions in the abovementioned extended space and the sandwiching of the target operator whose expectation value is under questioning by an appropriately chosen operator guaranteeing the existence of the relevant integrals. Work specifically focuses on the hydrogen-like quantum systems whose Hamiltonians contain a polar singularity at the origin.

  9. Names for Eg(X) Independence Covariance and Correlation The Expected Value

    E-Print Network [OSTI]

    Watkins, Joseph C.

    Names for Eg(X) Independence Covariance and Correlation Topic 8 The Expected Value Functions of Random Variables 1 / 12 #12;Names for Eg(X) Independence Covariance and Correlation Outline Names for Eg(X) Variance and Standard Deviation Independence Covariance and Correlation 2 / 12 #12;Names for Eg

  10. TESLA FEL 2004-06 Expected properties of the radiation from VUV-FEL at DESY

    E-Print Network [OSTI]

    TESLA FEL 2004-06 July 2004 Expected properties of the radiation from VUV-FEL at DESY (femtosecond pulse" (200 fs) mode of FEL operation at VUV- FEL, based on a linearized bunch compression that pro- duces FEL radiation. Such a mode of operation was successfully tested at VUV-FEL, Phase I

  11. Implied Expected Tranched Loss Surface from CDO Data Roberto Torresetti Damiano Brigo Andrea Pallavicini

    E-Print Network [OSTI]

    Brigo, Damiano

    Implied Expected Tranched Loss Surface from CDO Data Roberto Torresetti Damiano Brigo Andrea losses (ETL). ETL are natural quantities to imply from market data. No-arbitrage constraints on ETL. Instruments bid/asks enter our analysis, contrary to Walker's (2006) earlier work on the ETL implied surface

  12. Moon's Radiation Environment and Expected Performance of Solar Cells during Future Lunar Missions

    E-Print Network [OSTI]

    T. E Girish; S Aranya

    2010-12-03

    Several lunar missions are planned ahead and there is an increasing demand for efficient photovoltaic power generation in the moon. The knowledge of solar cell operation in the lunar surface obtained during early seventies need to be updated considering current views on solar variability and emerging space solar cell technologies. In this paper some aspects of the solar cell performance expected under variable lunar radiation environment during future space missions to moon are addressed. We have calculated relative power expected from different types of solar cells under extreme solar proton irradiation conditions and high lunar daytime temperature. It is also estimated that 2-3 % of annual solar cell degradation is most probable during the future lunar missions. We have also discussed photovoltaic power generation in long term lunar bases emphasizing technological needs such as sunlight concentration, solar cell cooling and magnetic shielding of radiation for improving the efficiency of solar cells in the lunar environment.

  13. Quantum Energy Expectation in Periodic Time-Dependent hamiltonians via Green Functions

    E-Print Network [OSTI]

    Cesar R. de Oliveira; Mariza S. Simsen

    2009-07-31

    Let $U_F$ be the Floquet operator of a time periodic hamiltonian $H(t)$. For each positive and discrete observable $A$ (which we call a {\\em probe energy}), we derive a formula for the Laplace time average of its expectation value up to time $T$ in terms of its eigenvalues and Green functions at the circle of radius $e^{1/T}$. Some simple applications are provided which support its usefulness.

  14. Teacher trait anxiety, student evaluation apprehension and teacher expectancy for student performance: a possible arousal effect 

    E-Print Network [OSTI]

    Grinnan, James Shepherd

    1978-01-01

    ), in their controversial book P alion in the Classroom, asserted that a teacher' s expectancy of student performance serves as a self fulfilling prophecy for student performance. For example, they demon- strated that students randomly assigned high fictitious IQs... half of the students (from the first through the sixth grades) high fictitious IQs. They found that after a year, the falsely labeled high IQ students showed significant achieve- ment gains as compared to control students. This gain was especially...

  15. Temperature Fluctuation and an Expected Limit of Hubble Parameter in the Self-Consistent Model

    E-Print Network [OSTI]

    A. B. Morcos

    2004-12-08

    The temperature gradient of microwave background radiation (CMBR) is calculated in the Self Consistent Model. An expected values for Hubble parameter have been presented in two different cases. In the first case the temperature is treated as a function of time only, while in the other one the temperature depends on relaxation of isotropy condition in the self-consistent model and the assumption that the universe expands adiabatically. The COBE's or WMAP's fluctuations in temperature of CMBR may be used to predict a value for Hubble parameter.

  16. Expected Performance of a Neutrino Telescope for Seeing AGN/GC Behind a Mountain

    E-Print Network [OSTI]

    George W. S. Hou; M. A. Huang

    2002-04-09

    We study the expected performance of building a neutrino telescope, which targets at energy greater than $10^{14}$ eV utilizing a mountain to interact with neutrinos. The telescope's efficiency in converting neutrinos into leptons is first examined. Then using a potential site on the Big Island of Hawaii, we estimate the acceptance of the proposed detector. The neutrino flux limit at event rate 0.3/year/half decade of energy is estimated to be comparable to that of AMANDA neutrino flux limit at above $10^{16}$ eV.

  17. Jensen's Inequality for g-Convex Function under g-Expectation

    E-Print Network [OSTI]

    Jia, Guangyan

    2008-01-01

    A real valued function defined on}$\\mathbb{R}$ {\\small is called}$g${\\small --convex if it satisfies the following \\textquotedblleft generalized Jensen's inequality\\textquotedblright under a given}$g${\\small -expectation, i.e., }$h(\\mathbb{E}^{g}[X])\\leq \\mathbb{E}% ^{g}[h(X)]${\\small, for all random variables}$X$ {\\small such that both sides of the inequality are meaningful. In this paper we will give a necessary and sufficient conditions for a }$C^{2}${\\small -function being}$% g ${\\small -convex. We also studied some more general situations. We also studied}$g${\\small -concave and}$g${\\small -affine functions.

  18. Investigation of Pseudo-Mutuality, Double Binding and Scapegoating: An Expectation States Approach. 

    E-Print Network [OSTI]

    Johnston, Janet R

    2015-08-15

    it is vitally important that he discriminate the communicated message of the other person. If he receives an unclear or ambiguous message and if he is unable to meta-communicate (i.e. comment on or question the intended meaning), then he will decipher and act... on the message in the following way. He will apply a previously formed belief (or expectation) about the other person, called a personal attribute, and respond to that attribute. Providing that his partner also does not meta-communicate, this person has...

  19. Estimation and characterization of decontamination and decommissioning solid waste expected from the Plutonium Finishing Plant

    SciTech Connect (OSTI)

    Millar, J.S.; Pottmeyer, J.A.; Stratton, T.J. [and others

    1995-01-01

    Purpose of the study was to estimate the amounts of equipment and other materials that are candidates for removal and subsequent processing in a solid waste facility when the Hanford Plutonium Finishing Plant is decontaminated and decommissioned. (Building structure and soil are not covered.) Results indicate that {approximately}5,500 m{sup 3} of solid waste is expected to result from the decontamination and decommissioning of the Pu Finishing Plant. The breakdown of the volumes and percentages of waste by category is 1% dangerous solid waste, 71% low-level waste, 21% transuranic waste, 7% transuranic mixed waste.

  20. ,"U.S. Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"CoalbedGas,+ Lease Condensate ProvedExpected

  1. ,"Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008 © OECD/IEA -Underground Natural Gas Storage -CoalbedExpected

  2. ,"Alaska Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008 © OECD/IEA -UndergroundPrices"ShareExpected Future

  3. ,"Kansas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUnderground Natural Gas Storage -Plant Liquids, Expected Future

  4. ,"Kentucky Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUnderground Natural Gas StorageCoalbedPlant Liquids, Expected

  5. ,"Louisiana - South Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUndergroundDry Natural Gas Expected Future Production (Billion

  6. Gulf of Mexico Federal Offshore Dry Natural Gas Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWells (MillionProved%(Billion Cubic Feet) Expected

  7. New Mexico Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2,2,435,2226 (nextNetperProduction (Billion CubicExpected

  8. Texas--State Offshore Natural Gas Plant Liquids, Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

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

  9. Expected properties of the first gravitational wave signal detected with pulsar timing arrays

    E-Print Network [OSTI]

    Rosado, Pablo A; Gair, Jonathan

    2015-01-01

    In this paper we attempt to investigate the nature of the first gravitational wave (GW) signal to be detected by pulsar timing arrays (PTAs): will it be an individual, resolved supermassive black hole binary (SBHB), or a stochastic background made by the superposition of GWs produced by an ensemble of SBHBs? To address this issue, we analyse a broad set of simulations of the cosmological population of SBHBs, that cover the entire parameter space allowed by current electromagnetic observations in an unbiased way. For each simulation, we construct the expected GW signal and identify the loudest individual sources. We then employ appropriate detection statistics to evaluate the relative probability of detecting each type of source as a function of time for a variety of PTAs; we consider the current International PTA (IPTA), and speculate into the era of the Square Kilometre Array (SKA). The main properties of the first detectable individual SBHBs are also investigated. Contrary to previous work, we cast our resu...

  10. Supersymmetry and dark matter post LHC8: Why we may expect both axion and WIMP detection

    SciTech Connect (OSTI)

    Baer, Howard [Dep't of Physics and Astronomy, University of Oklahoma, Norman, OK 73019 (United States)

    2014-01-01

    In the post-LHC8 era, it is perceived that what is left of SUSY model parameter space is highly finetuned in the EW sector (EWFT). We discuss how conventional measures overestimate EWFT in SUSY theory. Radiatively-driven natural SUSY (RNS) models maintain the SUSY GUT paradigm with low EWFT at 10% level, but are characterized by light higgsinos ~100–300 GeV and a thermal underabundance of WIMP dark matter. Implementing the SUSY DFSZ solution to the strong CP problem explains the small ? parameter but indicates dark matter should be comprised mainly of axions with a small admixture of higgsino-like WIMPs. While RNS might escape LHC14 searches, we would expect ultimately direct detection of both WIMPs and axions. An e?e? collider with ?(s)~500–600 GeV should provide a thorough search for the predicted light higgsinos.

  11. Expected Power-Utility Maximization Under Incomplete Information and with Cox-Process Observations

    SciTech Connect (OSTI)

    Fujimoto, Kazufumi, E-mail: m_fuji@kvj.biglobe.ne.jp [Bank of Tokyo-Mitsubishi UFJ, Ltd., Corporate Risk Management Division (Japan)] [Bank of Tokyo-Mitsubishi UFJ, Ltd., Corporate Risk Management Division (Japan); Nagai, Hideo, E-mail: nagai@sigmath.es.osaka-u.ac.jp [Osaka University, Division of Mathematical Science for Social Systems, Graduate School of Engineering Science (Japan)] [Osaka University, Division of Mathematical Science for Social Systems, Graduate School of Engineering Science (Japan); Runggaldier, Wolfgang J., E-mail: runggal@math.unipd.it [Universita di Padova, Dipartimento di Matematica Pura ed Applicata (Italy)

    2013-02-15

    We consider the problem of maximization of expected terminal power utility (risk sensitive criterion). The underlying market model is a regime-switching diffusion model where the regime is determined by an unobservable factor process forming a finite state Markov process. The main novelty is due to the fact that prices are observed and the portfolio is rebalanced only at random times corresponding to a Cox process where the intensity is driven by the unobserved Markovian factor process as well. This leads to a more realistic modeling for many practical situations, like in markets with liquidity restrictions; on the other hand it considerably complicates the problem to the point that traditional methodologies cannot be directly applied. The approach presented here is specific to the power-utility. For log-utilities a different approach is presented in Fujimoto et al. (Preprint, 2012).

  12. Influences of aspirations and expectations on contest performance at the National FFA Agricultural Mechanics Career Development Event, 2001-2006 

    E-Print Network [OSTI]

    Clark, Travis Scott

    2009-05-15

    The purpose of this study was to examine how performance expectations influence contest performance at the National FFA Agricultural Mechanics Career Development Event. The population for this study included all participants ...

  13. INCLEMENT WEATHER Residents/fellows are essential to the daily operation of each hospital and are expected to

    E-Print Network [OSTI]

    Page 140 ` INCLEMENT WEATHER Residents/fellows are essential to the daily operation of each hospital and are expected to report to work when scheduled. In the event of a severe weather condition

  14. Expected result of firing an ICE load on Z without vacuum.

    SciTech Connect (OSTI)

    Savage, Mark Edward; Struve, Kenneth William; Lemke, Raymond William

    2010-07-01

    In addressing the issue of the determining the hazard categorization of the Z Accelerator of doing Special Nuclear Material (SNM) experiments the question arose as to whether the machine could be fired with its central vacuum chamber open, thus providing a path for airborne release of SNM materials. In this report we summarize calculations that show that we could only expect a maximum current of 460 kA into such a load in a long-pulse mode, which will be used for the SNM experiments, and 750 kA in a short-pulse mode, which is not useful for these experiments. We also investigated the effect of the current for both cases and found that for neither case is the current high enough to either melt or vaporize these loads, with a melt threshold of 1.6 MA. Therefore, a necessary condition to melt, vaporize, or otherwise disperse SNM material is that a vacuum must exist in the Z vacuum chamber. Thus the vacuum chamber serves as a passive feature that prevents any airborne release during the shot, regardless of whatever containment may be in place.

  15. Re-examination of the Expected gamma-ray emission of supernova remnant SN 1987A

    E-Print Network [OSTI]

    Berezhko, E G; Voelk, H J

    2015-01-01

    A nonlinear kinetic theory, combining cosmic ray (CR) acceleration in supernova remnants (SNRs) with their gas dynamics, is used to re-examine the nonthermal properties of the remnant of SN 1987A for an extended evolutionary period of 5-50 yr. This spherically symmetric model is approximately applied to the different features of the SNR which consist of (i) a blue supergiant wind and bubble, and (ii) of the swept-up red supergiant (RSG) wind structures in the form of an HII region, an equatorial ring (ER), and an hourglass region. The RSG wind involves a mass loss rate that decreases significantly with elevation above and below the equatorial plane. The model adapts recent three-dimensional hydrodynamical simulations by Potter et al. (2014) which use a significantly smaller ionized mass of the ER than assumed in the earlier studies by the present authors. The SNR shock has recently swept up the ER which is the densest region in the immediate circumstellar environment. Therefore the expected gamma-ray energy f...

  16. Numerical estimation of adsorption energy distributions from adsorption isotherm data with the expectation-maximization method

    SciTech Connect (OSTI)

    Stanley, B.J.; Guiochon, G. |

    1993-08-01

    The expectation-maximization (EM) method of parameter estimation is used to calculate adsorption energy distributions of molecular probes from their adsorption isotherms. EM does not require prior knowledge of the distribution function or the isotherm, requires no smoothing of the isotherm data, and converges with high stability towards the maximum-likelihood estimate. The method is therefore robust and accurate at high iteration numbers. The EM algorithm is tested with simulated energy distributions corresponding to unimodal Gaussian, bimodal Gaussian, Poisson distributions, and the distributions resulting from Misra isotherms. Theoretical isotherms are generated from these distributions using the Langmuir model, and then chromatographic band profiles are computed using the ideal model of chromatography. Noise is then introduced in the theoretical band profiles comparable to those observed experimentally. The isotherm is then calculated using the elution-by-characteristic points method. The energy distribution given by the EM method is compared to the original one. Results are contrasted to those obtained with the House and Jaycock algorithm HILDA, and shown to be superior in terms of robustness, accuracy, and information theory. The effect of undersampling of the high-pressure/low-energy region of the adsorption is reported and discussed for the EM algorithm, as well as the effect of signal-to-noise ratio on the degree of heterogeneity that may be estimated experimentally.

  17. Rapid emergence of hepatitis C virus protease inhibitor resistance is expected

    SciTech Connect (OSTI)

    Rong, Libin [Los Alamos National Laboratory; Perelson, Alan S [Los Alamos National Laboratory; Ribeiro, Ruy M [Los Alamos National Laboratory

    2009-01-01

    Approximately 170 million people worldwide are infected with hepatitis C virus (HCV). Current therapy, consisting of pegylated interferon (PEG-IFN) and ribavirin (RBV), leads to sustained viral elimination in only about 45% of patients treated. Telaprevir (VX-950), a novel HCV NS3-4A serine protease inhibitor, has demonstrated substantial antiviral activity in patients with chronic hepatitis C genotype 1 infection. However, some patients experience viral breakthrough during dosing, with drug resistant variants being 5%-20% of the virus population as early as day 2 after treatment initiation. Why viral variants appear such a short time after the start of dosing is unclear, especially since this has not been seen with monotherapy for either human immunodeficiency virus or hepatitis B virus. Here, using a viral dynamic model, we explain why such rapid emergence of drug resistant variants is expected when potent HCV protease inhibitors are used as monotherapy. Surprisingly, our model also shows that such rapid emergence need not be the case with some potent HCV NS5B polymerase inhibitors. Examining the case of telaprevir therapy in detail, we show the model fits observed dynamics of both wild-type and drug-resistant variants during treatment, and supports combination therapy of direct antiviral drugs with PEG-IFN and/or RBV for hepatitis C.

  18. Expected environments in high-level nuclear waste and spent fuel repositories in salt

    SciTech Connect (OSTI)

    Claiborne, H.C.; Rickertsen, L.D., Graham, R.F.

    1980-08-01

    The purpose of this report is to describe the expected environments associated with high-level waste (HLW) and spent fuel (SF) repositories in salt formations. These environments include the thermal, fluid, pressure, brine chemistry, and radiation fields predicted for the repository conceptual designs. In this study, it is assumed that the repository will be a room and pillar mine in a rock-salt formation, with the disposal horizon located approx. 2000 ft (610 m) below the surface of the earth. Canistered waste packages containing HLW in a solid matrix or SF elements are emplaced in vertical holes in the floor of the rooms. The emplacement holes are backfilled with crushed salt or other material and sealed at some later time. Sensitivity studies are presented to show the effect of changing the areal heat load, the canister heat load, the barrier material and thickness, ventilation of the storage room, and adding a second row to the emplacement configuration. The calculated thermal environment is used as input for brine migration calculations. The vapor and gas pressure will gradually attain the lithostatic pressure in a sealed repository. In the unlikely event that an emplacement hole will become sealed in relatively early years, the vapor space pressure was calculated for three scenarios (i.e., no hole closure - no backfill, no hole closure - backfill, and hole closure - no backfill). It was assumed that the gas in the system consisted of air and water vapor in equilibrium with brine. A computer code (REPRESS) was developed assuming that these changes occur slowly (equilibrium conditions). The brine chemical environment is outlined in terms of brine chemistry, corrosion, and compositions. The nuclear radiation environment emphasized in this report is the stored energy that can be released as a result of radiation damage or crystal dislocations within crystal lattices.

  19. Expected properties of the first gravitational wave signal detected with pulsar timing arrays

    E-Print Network [OSTI]

    Pablo A. Rosado; Alberto Sesana; Jonathan Gair

    2015-06-22

    In this paper we attempt to investigate the nature of the first gravitational wave (GW) signal to be detected by pulsar timing arrays (PTAs): will it be an individual, resolved supermassive black hole binary (SBHB), or a stochastic background made by the superposition of GWs produced by an ensemble of SBHBs? To address this issue, we analyse a broad set of simulations of the cosmological population of SBHBs, that cover the entire parameter space allowed by current electromagnetic observations in an unbiased way. For each simulation, we construct the expected GW signal and identify the loudest individual sources. We then employ appropriate detection statistics to evaluate the relative probability of detecting each type of source as a function of time for a variety of PTAs; we consider the current International PTA, and speculate into the era of the Square Kilometre Array. The main properties of the first detectable individual SBHBs are also investigated. Contrary to previous work, we cast our results in terms of the detection probability (DP), since the commonly adopted criterion based on a signal-to-noise ratio threshold is statistic-dependent and may result in misleading conclusions for the statistics adopted here. Our results confirm quantitatively that a stochastic signal is more likely to be detected first (with between 75 to 93 per cent probability, depending on the array), but the DP of single-sources is not negligible. Our framework is very flexible and can be easily extended to more realistic arrays and to signal models including environmental coupling and SBHB eccentricity.

  20. Pseudospectral Calculation of Helium Wave Functions, Expectation Values, and Oscillator Strength

    E-Print Network [OSTI]

    Paul E. Grabowski; David F. Chernoff

    2011-07-11

    The pseudospectral method is a powerful tool for finding highly precise solutions of Schr\\"{o}dinger's equation for few-electron problems. We extend the method's scope to wave functions with non-zero angular momentum and test it on several challenging problems. One group of tests involves the determination of the nonrelativistic electric dipole oscillator strength for the helium $1^1$S $\\to 2^1$P transition. The result achieved, $0.27616499(27)$, is comparable to the best in the literature. Another group of test applications is comprised of well-studied leading order finite nuclear mass and relativistic corrections for the helium ground state. A straightforward computation reaches near state-of-the-art accuracy without requiring the implementation of any special-purpose numerics. All the relevant quantities tested in this paper -- energy eigenvalues, S-state expectation values and bound-bound dipole transitions for S and P states -- converge exponentially with increasing resolution and do so at roughly the same rate. Each individual calculation samples and weights the configuration space wave function uniquely but all behave in a qualitatively similar manner. Quantum mechanical matrix elements are directly and reliably calculable with pseudospectral methods. The technical discussion includes a prescription for choosing coordinates and subdomains to achieve exponential convergence when two-particle Coulomb singularities are present. The prescription does not account for the wave function's non-analytic behavior near the three-particle coalescence which should eventually hinder the rate of the convergence. Nonetheless the effect is small in the sense that ignoring the higher-order coalescence does not appear to affect adversely the accuracy of any of the quantities reported nor the rate at which errors diminish.

  1. Case Study of Expected Seismic Performance of an Instrumented Steel Moment Frame Building

    SciTech Connect (OSTI)

    Amore, Enzo D' [University 'Mediterranea' of Reggio Calabria, loc. Feo di Vito, 89100 Reggio Calabria (Italy); Astaneh-Asl, Abolhassan [University of California, Berkeley, 781 Davis Hall, Berkeley, CA, 94720-1710 (United States)

    2008-07-08

    A relevant number of modern welded steel structures suffered unexpected damage during the January 1994 Northridge earthquake. The damage of welded special moment resisting frames (W-SMRJF) typically involved the brittle fracture in the welded girder to column connection areas. In the aftermath of the Northridge earthquake the research and structural engineering communities addressed the issue of the seismic safety of damaged and undamaged W-SMRF's. However, even though seismic design codes in the United States were significantly revised after the Northridge quake, still there are hundreds of existing W-Serf's in the US and in other countries, designed and detailed according to pre-Northridge criteria. This work is a case study on seismic response of a W-SMRF instrumented by the California Strong Motion Instrumentation Program (CSMIP) which was shaken during the 1987 Whittier, 1991 Sierra Madre and 1994 Northridge earthquakes. A detailed finite element model of the structure is developed to analyze the building dynamic response during recorded strong motions. Model accuracy was assessed by comparing prediction of the analytical model with actual CSMIP response records. In order to assess its vulnerability in response to future and possibly stronger earthquakes, nonlinear analyses were conducted subjecting the model to the Newhall and Sylmar records of the 1994 Northridge and to the 1995 Kobe earthquakes. Analysis results show that the structure behaved linearly during these earthquakes. The predicted response to larger and more severe ground motions show that plastic deformation occur at many column ends and inelastic deformation demands exceed the expected capacity of the welded pre-Northridge beam-to-column connections.

  2. Use of groundwater lifetime expectancy for the performance assessment of a deep geologic waste repository: 1. Theory, illustrations, and implications

    E-Print Network [OSTI]

    Cornaton, F J; Normani, S D; Sudicky, E A; Sykes, J F

    2011-01-01

    Long-term solutions for the disposal of toxic wastes usually involve isolation of the wastes in a deep subsurface geologic environment. In the case of spent nuclear fuel, if radionuclide leakage occurs from the engineered barrier, the geological medium represents the ultimate barrier that is relied upon to ensure safety. Consequently, an evaluation of radionuclide travel times from a repository to the biosphere is critically important in a performance assessment analysis. In this study, we develop a travel time framework based on the concept of groundwater lifetime expectancy as a safety indicator. Lifetime expectancy characterizes the time that radionuclides will spend in the subsurface after their release from the repository and prior to discharging into the biosphere. The probability density function of lifetime expectancy is computed throughout the host rock by solving the backward-in-time solute transport adjoint equation subject to a properly posed set of boundary conditions. It can then be used to defi...

  3. Dual Mechanisms of Cognitive Control: Interference Effects on Working Memory are Modulated by Expectancy and Fluid Intelligence

    E-Print Network [OSTI]

    Burgess, Greg

    ), proactive control mechanisms preferred · Fluid Intelligence (gF) · Fluid intelligence possibly relatedDual Mechanisms of Cognitive Control: Interference Effects on Working Memory are Modulated by Expectancy and Fluid Intelligence Gregory C. Burgess and Todd S. Braver Department of Psychology , Washington

  4. Copyright 2005, School of Meteorology, University of Oklahoma. Rev 11/05 Knowledge Expectations for METR 2023

    E-Print Network [OSTI]

    Droegemeier, Kelvin K.

    meteorology, air pollution, forecasting, and climate change Topical Knowledge Expectations I. Atmospheric. Be able to use it quantitatively to solve problems related to the thermal structure of the atmosphere. · Understand the thermal wind and how it relates to backing and veering winds as well as the structure

  5. Posted: 6:00 a.m. Wednesday, June 20, 2012 Fourth of July travelers expected to stretch

    E-Print Network [OSTI]

    Belogay, Eugene A.

    Wednesday, Thursday and Friday off. Some people will take the whole week off." Declining gasoline prices a gallon for gas than they did a year ago. In Palm Beach County, the average price for a gallon of regular gasoline Tuesday was $3.46. Auto trips are expected to increase 4 percent over last year, accounting for 84

  6. When you turn on your faucet and fill a glass with water, you expect it to be

    E-Print Network [OSTI]

    When you turn on your faucet and fill a glass with water, you expect it to be safe and pure. However, drinking water can contain gases, minerals, bacteria, metals or chemicals that can affect your health and the quali- ty of your water. Some of these contaminants occur naturally, such as minerals

  7. The Space Exploration Initiative is expected to begin with small robotic missions to the ver two years ago, President

    E-Print Network [OSTI]

    Spudis, Paul D.

    #12;The Space Exploration Initiative is expected to begin with small robotic missions to the moon to conduct several small, robotic missions to the Moon within the next three years. The need for small this process, a workshop on Early Robotic Missions to 22 the Moon was held at the Lunar and Planetary Institute

  8. Checklist of Courses Required for BSME degree NAME (mark off as completed) (BIOMEDICAL OPTION) Expected Graduation Date

    E-Print Network [OSTI]

    Nanyes, Ollie

    . Of Elec. Engrg II ME 303 Inst. and Measurement IME 301 Engineering Economy ME 308 Fluid Mechanics ME 341) Expected Graduation Date Mechanical Engineering Engineering Science Electives ME 101 Foundations of ME CE 150 Mechanics I - Statics Biomed Tech Elective ______ ME 102 Engineering Design Graphics CE 250

  9. University of Alberta Volunteer Expectations and Commitment The University of Alberta Sexual Assault Centre provides a safe place on campus

    E-Print Network [OSTI]

    Machel, Hans

    University of Alberta Volunteer Expectations and Commitment Philosophy The University of Alberta Justice systems; and, · Preventing sexual violence through education. Services The University of Alberta for survivors of sexual assault who choose to involve the hospital, University of Alberta Protective Services

  10. Academic Integrity, Research and Proper Citation Students of UC Berkeley Extension are expected to act with integrity, civility, and honesty,

    E-Print Network [OSTI]

    Alvarez-Cohen, Lisa

    1 Academic Integrity, Research and Proper Citation Students of UC Berkeley Extension are expected to act with integrity, civility, and honesty, including but not limited to being honest or attempting to copy from others during an exam or on an assignment. · Communicating with another person other

  11. Expectations of Word Sense in Parallel Corpora Xuchen Yao, Benjamin Van Durme and Chris Callison-Burch

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    Expectations of Word Sense in Parallel Corpora Xuchen Yao, Benjamin Van Durme and Chris Callison corpus, if two distinct words in language A, a1 and a2, are aligned to the same word b1 in language B questions of word sense, by looking at sampled parallel sentences containing tokens of the same type

  12. EVOLVING EXPECTATIONS OF DAM REMOVAL OUTCOMES: DOWNSTREAM GEOMORPHIC EFFECTS FOLLOWING REMOVAL OF A SMALL, GRAVEL-FILLED DAM1

    E-Print Network [OSTI]

    Tullos, Desiree

    EVOLVING EXPECTATIONS OF DAM REMOVAL OUTCOMES: DOWNSTREAM GEOMORPHIC EFFECTS FOLLOWING REMOVAL OF A SMALL, GRAVEL-FILLED DAM1 Kelly Kibler, Desiree Tullos, and Mathias Kondolf 2 ABSTRACT: Dam removal is a promising river restoration technique, particularly for the vast number of rivers impounded by small dams

  13. What to expect from the National Science Foundation's T4 Project: Talented Teachers in Training for Texas

    E-Print Network [OSTI]

    Long, Nicholas

    What to expect from the National Science Foundation's T4 Project: Talented Teachers in Training Camp: Major within the College of Science and Mathematics (?? or Computer Science major) Cumulative GPA of 2.75 or above Completed freshman or sophomore year U.S. citizen, national, or permanent

  14. Groundwater age, life expectancy and transit time distributions in advective-dispersive systems: 1. Generalized reservoir theory

    E-Print Network [OSTI]

    Cornaton, F; 10.1016/j.advwatres.2005.10.009

    2011-01-01

    We present a methodology for determining reservoir groundwater age and transit time probability distributions in a deterministic manner, considering advective-dispersive transport in steady velocity fields. In a first step, we propose to model the statistical distribution of groundwater age at aquifer scale by means of the classical advection-dispersion equation for a conservative and nonreactive tracer, associated to proper boundary conditions. The evaluated function corresponds to the density of probability of the random variable age, age being defined as the time elapsed since the water particles entered the aquifer. An adjoint backward model is introduced to characterize the life expectancy distribution, life expectancy being the time remaining before leaving the aquifer. By convolution of these two distributions, groundwater transit time distributions, from inlet to outlet, are fully defined for the entire aquifer domain. In a second step, an accurate and efficient method is introduced to simulate the tr...

  15. Advance information on forthcoming market surveys and calls for tenders expected to exceed 200 000 Swiss francs and technology transfer projects

    E-Print Network [OSTI]

    2010-01-01

    Advance information on forthcoming market surveys and calls for tenders expected to exceed 200 000 Swiss francs and technology transfer projects

  16. ,"Texas - RRC District 10 Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"Coalbed Methane ProvedDry Natural Gas Expected

  17. ,"Texas - RRC District 3 Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"Coalbed Methane ProvedDryDry Natural Gas Expected

  18. ,"Texas - RRC District 6 Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"Coalbed MethaneDry Natural Gas Expected Future

  19. ,"Texas - RRC District 8 Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"Coalbed MethaneDryDry Natural Gas Expected Future

  20. ,"Texas - RRC District 9 Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"Coalbed MethaneDryDryDry Natural Gas Expected

  1. ,"Texas--RRC District 6 Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"CoalbedGas, WetPlant Liquids, Expected Future

  2. ,"Texas--RRC District 7B Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"CoalbedGas, WetPlant Liquids, ExpectedLiquidsPlant

  3. ,"Texas--RRC District 8A Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"CoalbedGas, WetPlantPlant Liquids, Expected Future

  4. ,"Federal Offshore--Texas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG StorageCoalbed Methane ProvedPlant Liquids, Expected Future

  5. Deviations from tribimaximal mixing due to the vacuum expectation value misalignment in A{sub 4} models

    SciTech Connect (OSTI)

    Barry, James; Rodejohann, Werner

    2010-05-01

    The addition of an A{sub 4} family symmetry and extended Higgs sector to the standard model can generate the tribimaximal mixing pattern for leptons, assuming the correct vacuum expectation value alignment of the Higgs scalars. Deviating this alignment affects the predictions for the neutrino oscillation and neutrino mass observables. An attempt is made to classify the plethora of models in the literature, with respect to the chosen A{sub 4} particle assignments. Of these models, two particularly popular examples have been analyzed for deviations from tribimaximal mixing by perturbing the vacuum expectation value alignments. The effect of perturbations on the mixing angle observables is studied. However, it is only investigation of the mass-related observables (the effective mass for neutrinoless double beta decay and the sum of masses from cosmology) that can lead to the exclusion of particular models by constraints from future data, which indicates the importance of neutrino mass in disentangling models. The models have also been tested for fine-tuning of the parameters. Furthermore, a well-known seesaw model is generalized to include additional scalars, which transform as representations of A{sub 4} not included in the original model.

  6. Load controller and method to enhance effective capacity of a photovotaic power supply using a dynamically determined expected peak loading

    DOE Patents [OSTI]

    Perez, Richard (Delmar, NY)

    2003-04-01

    A load controller and method are provided for maximizing effective capacity of a non-controllable, renewable power supply coupled to a variable electrical load also coupled to a conventional power grid. Effective capacity is enhanced by monitoring power output of the renewable supply and loading, and comparing the loading against the power output and a load adjustment threshold determined from an expected peak loading. A value for a load adjustment parameter is calculated by subtracting the renewable supply output and the load adjustment parameter from the current load. This value is then employed to control the variable load in an amount proportional to the value of the load control parameter when the parameter is within a predefined range. By so controlling the load, the effective capacity of the non-controllable, renewable power supply is increased without any attempt at operational feedback control of the renewable supply. The expected peak loading of the variable load can be dynamically determined within a defined time interval with reference to variations in the variable load.

  7. Research Master's Degree in Soil and Crop Sciences A candidate for a research master's degree in Soil and Crop Sciences is expected to

    E-Print Network [OSTI]

    Chen, Tsuhan

    ___________________________________________________________________________________ ________________________________________________________________________________ Research Master's Degree in Soil and Crop Sciences A candidate for a research master's degree in Soil and Crop Sciences is expected to demonstrate mastery of knowledge and skill in the Field of Soil and Crop research in the field of soil and crop sciences. Candidates are expected to synthesize and create new

  8. Load controller and method to enhance effective capacity of a photovoltaic power supply using a dynamically determined expected peak loading

    DOE Patents [OSTI]

    Perez, Richard

    2005-05-03

    A load controller and method are provided for maximizing effective capacity of a non-controllable, renewable power supply coupled to a variable electrical load also coupled to a conventional power grid. Effective capacity is enhanced by monitoring power output of the renewable supply and loading, and comparing the loading against the power output and a load adjustment threshold determined from an expected peak loading. A value for a load adjustment parameter is calculated by subtracting the renewable supply output and the load adjustment parameter from the current load. This value is then employed to control the variable load in an amount proportional to the value of the load control parameter when the parameter is within a predefined range. By so controlling the load, the effective capacity of the non-controllable, renewable power supply is increased without any attempt at operational feedback control of the renewable supply.

  9. Irradiation Tests and Expected Performance of Readout Electronics of the ATLAS Hadronic Endcap Calorimeter for the HL-LHC

    E-Print Network [OSTI]

    Martin Nagel

    2013-09-03

    The readout electronics of the ATLAS Hadronic Endcap Calorimeter (HEC) will have to withstand an about 3-5 times larger radiation environment at the future high-luminosity LHC (HLLHC) compared to their design values. The preamplifier and summing boards (PSBs), which are equipped with GaAs ASICs and comprise the heart of the readout electronics, were irradiated with neutrons and protons with fluences surpassing several times ten years of operation of the HL-LHC. Neutron tests were performed at the NPI in Rez, Czech Republic, where a 36 MeV proton beam was directed on a thick heavy water target to produce neutrons. The proton irradiation was done with 200 MeV protons at the PROSCAN area of the Proton Irradiation Facility at the PSI in Villigen, Switzerland. In-situ measurements of S-parameters in both tests allow the evaluation of frequency dependent performance parameters, like gain and input impedance, as a function of fluence. The linearity of the ASIC response was measured directly in the neutron tests with a triangular input pulse of varying amplitude. The results obtained allow an estimation of the expected performance degradation of the HEC. For a possible replacement of the PSB chips, alternative technologies were investigated and exposed to similar neutron radiation levels. In particular, IHP 250 nm Si CMOS technology has turned out to show good performance and match the specifications required. The performance measurements of the current PSB devices, the expected performance degradations under HL-LHC conditions, and results from alternative technologies will be presented.

  10. Text-Alternative Version: The L Prize-Winning LED A19 Replacement—What Commercial Building Owners/Operators Can Expect in 2012

    Broader source: Energy.gov [DOE]

    Below is the text-alternative version of the "The L Prize-Winning LED A19 Replacement—What Commercial Building Owners/Operators Can Expect in 2012" webcast, held January 18, 2012.

  11. Policy Compliance Agreement All users of the INRF and BiON Cleanrooms (students, staff, faculty, and industrial visitors) are expected to act in a professional

    E-Print Network [OSTI]

    Mease, Kenneth D.

    , and industrial visitors) are expected to act in a professional manner giving courtesy and respect to other usersON Policy Overview C. Chemical Hygiene Plan D. The MSDS Literature and SOP's for each chemical that you use

  12. A Method for Estimating the Financial Impact of Cyber Information Security Breaches Utilizing the Common Vulnerability Scoring System and Annual Loss Expectancy

    E-Print Network [OSTI]

    Lindsey, Michael B.

    2010-05-14

    calculate the likelihood of a successful cyber security attack and the resulting financial impacts. The method incorporates annual loss expectancy and cost-benefit, which are tools familiar to most mid-level managers responsible for budget creation....

  13. Expectations for {sup 12}C and {sup 16}O induced fusion cross sections at energies of astrophysical interest.

    SciTech Connect (OSTI)

    Jiang, C. L.; Rehm, K. E.; Back, B. B.; Janssens, R.V.F; Physics

    2007-01-12

    The extrapolations of cross sections for fusion reactions involving {sup 12}C and {sup 16}O nuclei down to energies relevant for explosive stellar burning have been reexamined. Based on a systematic study of fusion in heavier systems, it is expected that a suppression of the fusion process will also be present in these light heavy-ion systems at extreme sub-barrier energies due to the saturation properties of nuclear matter. Previous phenomenological extrapolations of the S factor for light heavy-ion fusion based on optical model calculations may therefore have overestimated the corresponding reaction rates. A new 'recipe' is proposed to extrapolate S factors for light heavy-ion reactions to low energies taking the hindrance behavior into account. It is based on a fit to the logarithmic derivative of the experimental cross section which is much less sensitive to overall normalization discrepancies between different data sets than other approaches. This method, therefore, represents a significant improvement over other extrapolations. The impact on the astrophysical reaction rates is discussed.

  14. Expectations for {sup 12}C and {sup 16}O induced fusion cross sections at energies of astrophysical interest

    SciTech Connect (OSTI)

    Jiang, C. L.; Rehm, K. E.; Back, B. B.; Janssens, R. V. F. [Physics Division, Argonne National Laboratory, Argonne, Illinois 60439 (United States)

    2007-01-15

    The extrapolations of cross sections for fusion reactions involving {sup 12}C and {sup 16}O nuclei down to energies relevant for explosive stellar burning have been reexamined. Based on a systematic study of fusion in heavier systems, it is expected that a suppression of the fusion process will also be present in these light heavy-ion systems at extreme sub-barrier energies due to the saturation properties of nuclear matter. Previous phenomenological extrapolations of the S factor for light heavy-ion fusion based on optical model calculations may therefore have overestimated the corresponding reaction rates. A new ''recipe'' is proposed to extrapolate S factors for light heavy-ion reactions to low energies taking the hindrance behavior into account. It is based on a fit to the logarithmic derivative of the experimental cross section which is much less sensitive to overall normalization discrepancies between different data sets than other approaches. This method, therefore, represents a significant improvement over other extrapolations. The impact on the astrophysical reaction rates is discussed.

  15. Aerosol Properties from Multi-spectral and Multi-angular Aircraft 4STAR Observations: Expected Advantages and Challenges

    SciTech Connect (OSTI)

    Kassianov, Evgueni I.; Flynn, Connor J.; Redemann, Jens; Schmid, Beat; Russell, P. B.; Sinyuk, Alexander

    2012-11-01

    The airborne Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR) is developed to retrieve aerosol microphysical and optical properties from multi-angular and multi-spectral measurements of sky radiance and direct-beam sun transmittance. The necessarily compact design of the 4STAR may cause noticeable apparent enhancement of sky radiance at small scattering angles. We assess the sensitivity of expected 4STAR-based aerosol retrieval to such enhancement by applying the operational AERONET retrieval code and constructed synthetic 4STARlike data. Also, we assess the sensitivity of the broadband fluxes and the direct aerosol radiative forcing to uncertainties in aerosol retrievals associated with the sky radiance enhancement. Our sensitivity study results suggest that the 4STARbased aerosol retrieval has limitations in obtaining detailed information on particle size distribution and scattering phase function. However, these limitations have small impact on the retrieved bulk optical parameters, such as the asymmetry factor (up to 4%, or ±0.02) and single-scattering albedo (up to 2%, or ±0.02), and the calculated direct aerosol radiative forcing (up to 6%, or 2 Wm-2).

  16. Expectation-maximization algorithms for learning a finite mixture of univariate survival time distributions from partially specified class values

    SciTech Connect (OSTI)

    Lee, Youngrok [Ames Laboratory

    2013-05-15

    Heterogeneity exists on a data set when samples from di#11;erent classes are merged into the data set. Finite mixture models can be used to represent a survival time distribution on heterogeneous patient group by the proportions of each class and by the survival time distribution within each class as well. The heterogeneous data set cannot be explicitly decomposed to homogeneous subgroups unless all the samples are precisely labeled by their origin classes; such impossibility of decomposition is a barrier to overcome for estimating #12;nite mixture models. The expectation-maximization (EM) algorithm has been used to obtain maximum likelihood estimates of #12;nite mixture models by soft-decomposition of heterogeneous samples without labels for a subset or the entire set of data. In medical surveillance databases we can find partially labeled data, that is, while not completely unlabeled there is only imprecise information about class values. In this study we propose new EM algorithms that take advantages of using such partial labels, and thus incorporate more information than traditional EM algorithms. We particularly propose four variants of the EM algorithm named EM-OCML, EM-PCML, EM-HCML and EM-CPCML, each of which assumes a specific mechanism of missing class values. We conducted a simulation study on exponential survival trees with five classes and showed that the advantages of incorporating substantial amount of partially labeled data can be highly signi#12;cant. We also showed model selection based on AIC values fairly works to select the best proposed algorithm on each specific data set. A case study on a real-world data set of gastric cancer provided by Surveillance, Epidemiology and End Results (SEER) program showed a superiority of EM-CPCML to not only the other proposed EM algorithms but also conventional supervised, unsupervised and semi-supervised learning algorithms.

  17. Encountering racism in the ivory towers: a qualitative analysis of Latino student experiences in higher education 

    E-Print Network [OSTI]

    Parks, Kathrin Ann

    2009-05-15

    Currently, there is a significant gap in the literature on what Latino students are subjected to at predominately white universities regarding white racism and discrimination. If students of color face racism on university campuses, this could...

  18. Ivory Coast-UNEP Risoe Technology Needs Assessment Program | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8,Open EnergyIssaquah, Washington:ItochuIvec Pty

  19. As an engineering student at the Univ. of Alberta, you (and also your professors) are expected to follow APEGGA's code of ethics

    E-Print Network [OSTI]

    Flynn, Morris R.

    of their professions and thus the ability of the professions to serve the public interest. The APEGGA code of ethics uphold and enhance the honor, dignity and reputation of their professions and thus the ability of the professions to serve the public interest. The APEGGA code of ethics This expectation is s

  20. Wind Energy EFA Wind energy has become a major source of clean energy. Wind energy is expected to grow over the next

    E-Print Network [OSTI]

    Wind Energy EFA Wind energy has become a major source of clean energy. Wind energy is expected of wind energy fundamentals are needed to fill these jobs. The Wind Energy EFA prepares students for a career in wind energy, and allows for completing all requirements for the Certificate in Wind Energy

  1. PhD in Civil and Environmental Engineering A candidate for the PhD is expected to demonstrate mastery of knowledge in a specific

    E-Print Network [OSTI]

    Chen, Tsuhan

    PhD in Civil and Environmental Engineering A candidate for the PhD is expected to demonstrate mastery of knowledge in a specific subject area in Civil and Environmental Engineering and to synthesize in specific subject area in Civil and Environmental Engineering and to synthesize and create new knowledge

  2. PhD in Civil and Environmental Engineering A candidate for the PhD is expected to demonstrate mastery of knowledge in a specific

    E-Print Network [OSTI]

    Walter, M.Todd

    mastery of knowledge in a specific subject area in Civil and Environmental Engineering and to synthesize and Environmental Engineering A candidate for the MS also is expected to demonstrate mastery of knowledge in specific subject area in Civil and Environmental Engineering and to synthesize and create new knowledge

  3. Ph.D Degree Proficiencies: A candidate for a Ph.D degree in Natural Resources is expected to demonstrate a

    E-Print Network [OSTI]

    Walter, M.Todd

    and professional skills #12;- Be effective in educating others about natural resources management and affiliatedPh.D Degree Proficiencies: A candidate for a Ph.D degree in Natural Resources is expected to demonstrate a broad based knowledge in Natural Resources Management and demonstrate a mastery of knowledge

  4. Expected fatalities for one wedge of CCS mitigation Actuarial risk assessment of carbon capture & storage at the global scale in 2050

    E-Print Network [OSTI]

    Boyer, Edmond

    . If storage sites perform at risk levels socially tolerated today in analogue installations, fatalities per year. Besides energy saving, all mitigation options carry nonzero risk. The largest hydroelectric damExpected fatalities for one wedge of CCS mitigation Actuarial risk assessment of carbon capture

  5. Helium and Deuterium Abundances as a Test for the Time Variation of the Fine Structure Constant and the Higgs Vacuum Expectation Value

    E-Print Network [OSTI]

    Nidal Chamoun; Susana J. Landau; Mercedes E. Mosquera; Hector Vucetich

    2006-12-21

    We use the semi-analytic method of \\citet{Esma91} to calculate the abundances of Helium and Deuterium produced during Big Bang nucleosynthesis assuming the fine structure constant and the Higgs vacuum expectation value may vary in time. We analyze the dependence on the fundamental constants of the nucleon mass, nuclear binding energies and cross sections involved in the calculation of the abundances. Unlike previous works, we do not assume the chiral limit of QCD. Rather, we take into account the quark masses and consider the one-pion exchange potential, within perturbation theory, for the proton-neutron scattering. However, we do not consider the time variation of the strong interactions scale but attribute the changes in the quark masses to the temporal variation of the Higgs vacuum expectation value. Using the observational data of the helium and deuterium, we put constraints on the variation of the fundamental constants between the time of nucleosynthesis and the present time.

  6. Use of groundwater lifetime expectancy for the performance assessment of a deep geologic radioactive waste repository:2. Application to a Canadian Shield environment

    E-Print Network [OSTI]

    Park, Y -J; Normani, S D; Sykes, J F; Sudicky, E A

    2011-01-01

    Cornaton et al. [2007] introduced the concept of lifetime expectancy as a performance measure of the safety of subsurface repositories, based upon the travel time for contaminants released at a certain point in the subsurface to reach the biosphere or compliance area. The methodologies are applied to a hypothetical but realistic Canadian Shield crystalline rock environment, which is considered to be one of the most geologically stable areas on Earth. In an approximately 10\\times10\\times1.5 km3 hypothetical study area, up to 1000 major and intermediate fracture zones are generated from surface lineament analyses and subsurface surveys. In the study area, mean and probability density of lifetime expectancy are analyzed with realistic geologic and hydrologic shield settings in order to demonstrate the applicability of the theory and the numerical model for optimally locating a deep subsurface repository for the safe storage of spent nuclear fuel. The results demonstrate that, in general, groundwater lifetime exp...

  7. Illustration of sampling-based approaches to the calculation of expected dose in performance assessments for the proposed high level radioactive waste repository at Yucca Mountain, Nevada.

    SciTech Connect (OSTI)

    Helton, Jon Craig (Arizona State University, Tempe, AZ); Sallaberry, Cedric J. PhD. (.; .)

    2007-04-01

    A deep geologic repository for high level radioactive waste is under development by the U.S. Department of Energy at Yucca Mountain (YM), Nevada. As mandated in the Energy Policy Act of 1992, the U.S. Environmental Protection Agency (EPA) has promulgated public health and safety standards (i.e., 40 CFR Part 197) for the YM repository, and the U.S. Nuclear Regulatory Commission has promulgated licensing standards (i.e., 10 CFR Parts 2, 19, 20, etc.) consistent with 40 CFR Part 197 that the DOE must establish are met in order for the YM repository to be licensed for operation. Important requirements in 40 CFR Part 197 and 10 CFR Parts 2, 19, 20, etc. relate to the determination of expected (i.e., mean) dose to a reasonably maximally exposed individual (RMEI) and the incorporation of uncertainty into this determination. This presentation describes and illustrates how general and typically nonquantitive statements in 40 CFR Part 197 and 10 CFR Parts 2, 19, 20, etc. can be given a formal mathematical structure that facilitates both the calculation of expected dose to the RMEI and the appropriate separation in this calculation of aleatory uncertainty (i.e., randomness in the properties of future occurrences such as igneous and seismic events) and epistemic uncertainty (i.e., lack of knowledge about quantities that are poorly known but assumed to have constant values in the calculation of expected dose to the RMEI).

  8. ,"Gulf of Mexico Federal Offshore - Louisiana and Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG StorageCoalbed MethaneWellheadDry Natural Gas Expected Future

  9. Academic Expectations Academic Resource Center

    E-Print Network [OSTI]

    Heller, Barbara

    -Stop Center: The Bridge · Peers · Student Organizations · Teaching Assistants · Undergraduate Academic Affairs models · Smart board technologies · Apple TV integration · Live stream available for exam reviews

  10. MA15900 Expectations/Suggestions

    E-Print Network [OSTI]

    odavis

    2011-08-21

    WEB PAGE: …math.purdue.edu/MA15900 or go to www.math.purdue.edu and then click on ... wide and an inch deep. Be careful about assuming you already.

  11. MA15900 Expectations/Suggestions

    E-Print Network [OSTI]

    Owen Davis

    2008-08-29

    WEB PAGE: …math.purdue.edu/MA 15900 or go to www.math.purdue.edu and ... are available on the respective course web pages.) ... wide and an inch deep.

  12. Expectation-based syntactic comprehension

    E-Print Network [OSTI]

    Levy, Roger

    2008-01-01

    of ACL. Ehrlich, S. F. and Rayner, K. (1981). Contextual e?6(4):291–325. Frisson, S. , Rayner, K. , and Pickering, M. (A. , Fisher, D. L. , and Rayner, K. (1998). Toward a model

  13. Smart Wire Grid: Resisting Expectations

    ScienceCinema (OSTI)

    Ramsay, Stewart; Lowe, DeJim

    2014-04-09

    Smart Wire Grid's DSR technology (Discrete Series Reactor) can be quickly deployed on electrical transmission lines to create intelligent mesh networks capable of quickly rerouting electricity to get power where and when it's needed the most. With their recent ARPA-E funding, Smart Wire Grid has been able to move from prototype and field testing to building out a US manufacturing operation in just under a year.

  14. Intention is commitment with expectation 

    E-Print Network [OSTI]

    Creel, James Silas

    2005-08-29

    relative to a model M, an element of T sigma, an integer n, and a set v. This v is a set of bindings of variables to objects in D such that if v element [V ariable arrowright D], then vdx is that function which yields d for x and is the same as v elsewhere.... If a model has a certain world sigma that satisfies a Wff w at a given time under a certain binding, we write M,sigma,v,n | w. If all models under all bindings always satisfy a Wff w, that is w is valid, we write | w. The formal semantics are given...

  15. Exceeding Energy Consumption Design Expectations 

    E-Print Network [OSTI]

    Castleton, H. F.; Beck, S. B. M.; Hathwat, E. A.; Murphy, E.

    2013-01-01

    Operational building performance often fails to meet that predicted at the design stage by as much as two to three times. Many reasons for this difference have been identified and widely reported, however, the problem still continues to occur. A...

  16. Smart Wire Grid: Resisting Expectations

    SciTech Connect (OSTI)

    Ramsay, Stewart; Lowe, DeJim

    2014-03-03

    Smart Wire Grid's DSR technology (Discrete Series Reactor) can be quickly deployed on electrical transmission lines to create intelligent mesh networks capable of quickly rerouting electricity to get power where and when it's needed the most. With their recent ARPA-E funding, Smart Wire Grid has been able to move from prototype and field testing to building out a US manufacturing operation in just under a year.

  17. Sandia National Laboratories is seeking applicants for the President Harry S. Truman Fellowship (in National Security Science and Engineering). Candidates for this position are expected to have solved a

    E-Print Network [OSTI]

    Siefert, Chris

    National Security Science and Engineering). Candidates for this position are expected to have solved Sandia's national security mission. The appointee is expected to foster creativity and to stimulate Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE

  18. Five-years of microenvironment data along an urban-rural transect; temperature and CO2 concentrations in urban area at levels expected globally with climate change.

    SciTech Connect (OSTI)

    George, Kate; Ziska, Lewis H; Bunce, James A; Quebedeaux, Bruno

    2007-11-01

    The heat island effect and the high use of fossil fuels in large city centers is well documented, but by how much fossil fuel consumption is elevating atmospheric CO2 concentrations and whether elevations in both atmospheric CO2 and air temperature are consistent from year to year are less well known. Our aim was to record atmospheric CO2 concentrations, air temperature and other environmental variables in an urban area and compare it to suburban and rural sites to see if urban sites are experiencing climates expected globally in the future with climate change. A transect was established from Baltimore city center (Urban site), to the outer suburbs of Baltimore (suburban site) and out to an organic farm (rural site). At each site a weather station was set-up to monitor environmental variables annually for five years. Atmospheric CO2 was significantly increased on average by 66 ppm from the rural to the urban site over the five years of the study. Air temperature was significantly higher at the urban site (14.8 oC) compared to the suburban (13.6 oC) and rural (12.7 oC) sites. Relative humidity was not different between sites but vapor pressure deficit (VPD) was significantly higher at the urban site compared to the suburban and rural sites. During wet years relative humidity was significantly increased and VPD significantly reduced. Increased nitrogen deposition at the rural site (2.1 % compared to 1.8 and 1.2 % at the suburban and urban sites) was small enough not to affect soil nitrogen content. Dense urban areas with large populations and high vehicular traffic have significantly different microclimates compared to outlying suburban and rural areas. The increases in atmospheric CO2 and air temperature are similar to changes predicted in the short term with global climate change, therefore providing an environment suitable for studying future effects of climate change on terrestrial ecosystems.

  19. Cooling towers among ivory towers : a comparative analysis of research universities, electricity consumption, and greenhouse gas emissions

    E-Print Network [OSTI]

    Keegan, Brian C. (Brian Christopher)

    2006-01-01

    The rationale for university sustainability and existing international agreements on sustainability in higher education are reviewed in the context of developing a model to determine the linkages between three environmental ...

  20. MSU at Work in Africa: A Unique Capacity

    E-Print Network [OSTI]

    , Ivory Coast, Kenya, Liberia, Malawi, Mali, Morocco, Mozambique, Namibia, Nigeria, Rwanda, Senegal, South

  1. Experiencing the Park: Values, Perceptions and Expectations 

    E-Print Network [OSTI]

    Bielby, Paul

    2012-08-31

    user groups experience the Cairngorms National Park. With a primary focus on hill walkers that climb the area’s many hills, and using qualitative interviews and ethnographic methods, the study, therefore, investigates the values, experiences...

  2. The Expected Lifetime of an Extraction Project

    E-Print Network [OSTI]

    Sidorov, Nikita

    sources, such as polit- ical risk and labour market changes, however, the key financial uncertainties be of great use to a company, as it is a quantitative measure of a project's risk, and easily interpreted

  3. Expectancy formation in philanthropic corporate advertising 

    E-Print Network [OSTI]

    Pool, Gregory James

    1995-01-01

    rather than confirm expediencies (Hagly, Chaiken, Er, Wood, 1981). Social psychological research on persuasion conducted in laboratory contexts has generally supported this attributional analysis (Hagly et aL, 1981; Wood dt Hagly, 1981; Hagly, Wood... reporting bias, offering a seledive account of relevant information because of self-interest (see Hagly, Wood, & Chaiken, 1978). If the subjects truly believed that any advertisement automatically implies self-interest on the part of the advertiser...

  4. Lowell, Massachusetts, Restaurant Exceeds Energy Savings Expectations...

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

    a loan from the local lending consortium, the restaurant installed a new boiler, air conditioning and heating system, lighting fixtures, and an efficient refrigerator storage...

  5. TOKAPOLE I I EXPECTED PARArETERS

    E-Print Network [OSTI]

    Sprott, Julien Clinton

    ;-2- Electron energy balance requires that the input ohmic heating power equal the electron energy loss rate that the Kruskal-Shafranov limit be satisfied (q= const.): Finally, ion energy balance (assuming T; « T e and TEi upwards of twenty tokamaks operating around the world, the empirical scaling laws for tokamak plasmas

  6. Endurability, Engagement and Expectations: Measuring Children's Fun

    E-Print Network [OSTI]

    for children. Usability is a term that has historically been linked to work systems, (Dowell & Long, 1998

  7. Top quark physics expectations at the LHC

    E-Print Network [OSTI]

    Andrei Gaponenko; for the ATLAS Collaboration; for the CMS Collaboration

    2008-10-22

    The top quark will be produced copiously at the LHC. This will make both detailed physics studies and the use of top quark decays for detector calibration possible. This talk reviews plans and prospects for top physics activities in the ATLAS and CMS experiments.

  8. Top quark physics expectations at the LHC

    E-Print Network [OSTI]

    Gaponenko, Andrei; ATLAS Collaboration; CMS Collaboration

    2008-01-01

    Physics Analysis Summary TOP 08 005. ATLAS Collaboration,Note 2006/013. E. W. Varnes, Top Physics plenary talk, thismass in the ATLAS cuts based top mass analysis with 1fb ?1

  9. Top quark physics expectations at the LHC

    E-Print Network [OSTI]

    Gaponenko, Andrei; ATLAS Collaboration; CMS Collaboration

    2008-01-01

    Science, O?ce of High Energy Physics, of the U.S. Department05CH11231. References CMS Physics Analysis Summary TOP 08Note 2006/013. E. W. Varnes, Top Physics plenary talk, this

  10. Performance Expectation and Behavior in Small Groups 

    E-Print Network [OSTI]

    Berger, Joseph; Conner, Thomas L

    2015-07-29

    the task successfully, those thought to be more able were given more opportunities to contribute (questions, inquiring glances, etc.) and were allowed to exercise more influence both in terms of persuading others and having contributions accepted; and... behavior that can be classified within our system. Any behavior that is not an instance of one of our concepts is, of course, ignored. The kinds of acts we are primarily concerned with are action opportunities, performance outputs, and reward actions...

  11. Expected Sequence Similarity Maximization Cyril Allauzen1

    E-Print Network [OSTI]

    Mohri, Mehryar

    -up by two orders of magnitude with respect to the original method of Tromble et al. (2008) and by a factor-vocabulary speech recognition (Goel and Byrne, 2000) and machine translation (Kumar and Byrne, 2004; Tromble et al

  12. Confounded Expectations: Informedia at TRECVID 2004

    E-Print Network [OSTI]

    . The dimensionality is thus 200 (5*5*8). Audio features We extract audio signal every 20 msecs (512 windows at 44100, audio, text and `semantic' detectors, such as face detection and Video OCR detection. In TRECVID 2004 that representative image. There are 3 different types of image features: color histograms, textures and edges

  13. Introduction of Afternoon Topics and Expectations

    Broader source: Energy.gov [DOE]

    Appreciation and overview remarks by DOE Integrated Safety Management Co-champions Patricia R. Worthington, HSS Director, Office of Health and Safety, HS-10 and Ray J. Corey, Assistant Manager for Safety and Environment, DOE Richland Operations Office.

  14. Distributionally robust expectation inequalities for structured ...

    E-Print Network [OSTI]

    2015-05-04

    Alleviation in Wind Turbines. American Institute of Aeronautics and Astronautics, 2014. [27] L. Vandenberghe, S. Boyd, and K. Comanor. Generalized ...

  15. Expectations for a New Climate Agreement

    E-Print Network [OSTI]

    Jacoby, H.D.

    With the objective of stimulating timely and open discussion of the current attempt to formulate a new climate agreement—to be reached at the 21st meeting of the Conference of Parties (COP-21) in Paris during November of ...

  16. Florida international University Go beyond what's expected.

    E-Print Network [OSTI]

    Chen, Shu-Ching

    and our professors are working with international artists and architects at the Miami Beach Urban Studios Faculty Fellow Founder of Aesthetics and Values course 2010 Excellence in Teaching Award FIU Model UN team in their field 180 Bachelors, master's and doctoral programs 27:1 Student to Faculty Ratio FIU's Wall of Wind

  17. Do Disaster Expectations Explain Household Portfolios?

    E-Print Network [OSTI]

    Alan, Sule

    in Appendix B. 12 = f#22; ; (#27;2 ); #22;#14;; (#27;2#14;); p; #30;; #25;; #20;g where #0; #22; #1; mean log-coe¢ cient of relative risk aversion (#27;2 ) variance of log-coe¢ cient of relative risk aversion, (set to zero if #27; 2 #14; > 0) (#22;#14;) mean... aversion) of standard normal variables8 in addition to actual realized stock returns from 1983 to 2004. As discussed in the data section, the lack of panel data on consumption, wealth 8If lnx #24; N(a; b), we can simulate draws from a lognormal by taking x...

  18. Ancient galactic magnetic fields stronger than expected

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News Publications TraditionalWith PropaneNaturalTestAn Evolutionary Arms|

  19. Lowell, Massachusetts, Restaurant Exceeds Energy Savings Expectations |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOE Safetyof Energy This Revision 3 of the

  20. Seismic Design Expectations Report | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLE DIRECTIVES Pursuant to the contractEngineers |

  1. 13-04 Expected Returns and the Expected Growth in Rents of Commercial Real Estate

    E-Print Network [OSTI]

    Plazzi, Alberto; Torous, Walt; Valkanov, Rossen

    2004-01-01

    G. Rouwenhorst, 2000, Global Real Estate Markets–Cycles andCase, Karl E. , 2000, Real Estate and the Macroeconomy,2000, Commercial Real Estate Analysis and Investments (

  2. Africa Aerosol Optical Depth Obtained From MISR

    E-Print Network [OSTI]

    Frank, Thomas D.

    Faso Cameroon Equatorial Guinea Gambia, The Ghana Guinea Guinea-Bissau Ivory Coast Liberia Mali Cameroon Equatorial Guinea Gambia, The Ghana Guinea Guinea-Bissau Ivory Coast Liberia Mali Mauritania

  3. Expectation States Theory: The Status of a Research Program 

    E-Print Network [OSTI]

    Berger, Joseph; Wagner, David G; Zelditch, Morris Jr

    2015-08-15

    This technical report updates the theoretical developments and empirical research in the program since the review by Berger, Rosenholtz, and Zelditch (1980)....

  4. Definition Properties Discrete Random Variables Bernoulli Trials The Expected Value

    E-Print Network [OSTI]

    Watkins, Joseph C.

    denote the number of heads. A B C D E F G X() x P{} P{X = x} X()P{} xP{X = x} HHH 3 3 P{HHH} P{X = 3} X(HHH)P{HHH

  5. The Local Sensitivity of Posterior Expectations Paul Gustafson 1

    E-Print Network [OSTI]

    Council of Canada AMS 1991 subject classifications. Primary 62F15; secondary 62F35. Key words and phrases Statistical inference always requires various assumptions. Since often the assumptions are not directly. This is referred to as global sensitivity analysis; see Berger (1990), Lavine (1991a,b), and Wasserman (1992b

  6. Mitigating Climate Change with Managed Forests: Balancing Expectations,

    E-Print Network [OSTI]

    Keeton, William S.

    Climate Action Registry, and Regional Greenhouse Gas Initiative), some managed forest projects may prove under the Clean Development Mechanism of the Kyoto Protocol may be placing this approach in jeopardy and biomass energy) and di- rect substitution for more energy-intensive building mate- rials (e.g., concrete

  7. Common Mathematical Foundations of Expected Utility and Dual ...

    E-Print Network [OSTI]

    2012-11-24

    We start our presentation from the analysis of abstract preference relations in a certain space X, which we ...... International Economic Review, 5:285–293, 1964.

  8. Byzantine Agreement with a Strong Adversary in Polynomial Expected Time

    E-Print Network [OSTI]

    King, Valerie

    of Computer Science, University of New Mexico, USA, saia@cs.unm.edu PODC Brief Announcement Submission message-passing model. The adversary is adaptive: it can determine which processors to corrupt and what: it can determine which processors to corrupt and what strategy these processors should use

  9. Byzantine Agreement in Polynomial Expected Time [Extended Abstract

    E-Print Network [OSTI]

    Saia, Jared

    . of Computer Science, University of New Mexico Albuquerque, NM 87131-1386 saia@cs.unm.edu ABSTRACT processors to corrupt and what strategy these processors should use as the algorithm proceeds; the scheduling: it can determine which processors to corrupt and what strategy these processors should use

  10. Quantum Structure in Cognition, Origins, Developments, Successes and Expectations

    E-Print Network [OSTI]

    Diederik Aerts; Sandro Sozzo

    2015-03-10

    We provide an overview of the results we have attained in the last decade on the identification of quantum structures in cognition and, more specifically, in the formalization and representation of natural concepts. We firstly discuss the quantum foundational reasons that led us to investigate the mechanisms of formation and combination of concepts in human reasoning, starting from the empirically observed deviations from classical logical and probabilistic structures. We then develop our quantum-theoretic perspective in Fock space which allows successful modeling of various sets of cognitive experiments collected by different scientists, including ourselves. In addition, we formulate a unified explanatory hypothesis for the presence of quantum structures in cognitive processes, and discuss our recent discovery of further quantum aspects in concept combinations, namely, 'entanglement' and 'indistinguishability'. We finally illustrate perspectives for future research.

  11. GOVERNMENT'S LETTER OF EXPECTATIONS THE MINISTER OF ADVANCED EDUCATION

    E-Print Network [OSTI]

    Victoria, University of

    . The parties also share a commitment to achieving a seamless and sustainable transfer system that supports mobility of students and portability of their credits to help them achieve their education, training

  12. Assumptions and Expectations for Annual Energy Outlook 2015:...

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

    * Update NPGL factors as well as the composition shares of NGPLs (ethane, propane, butane, iso-butane, pentanes plus). * Update EURs as time allows - focus on PA Marcellus...

  13. Expected performance of a Laue lens based on bent crystals

    E-Print Network [OSTI]

    Valsan, Vineeth; Virgilli, Enrico; Liccardo, Vincenzo

    2012-01-01

    In the context of the LAUE project devoted to build a long focal length focusing optics for soft gamma-ray astronomy (70/100 keV to $>$600 keV), we present results of simulation of a Laue lens, based on bent crystals in different assembling configurations (quasi-mosaic and reflection-like geometries). The main aim is to significantly overcome the sensitivity limits of the current generation of gamma-ray telescopes and improve the imaging capability.

  14. Expected Economic Benefits of the El Morillo Drain 

    E-Print Network [OSTI]

    Lacewell, Ronald D.; Rister, M. Edward; Sturdivant, Allen W.; DuBois, Megan; Rogers, Callie; Seawright, Emily

    2007-01-02

    treatment plant. But, for the sake of providing an estimate, if per capita use of water is 150 gallons per day and with a population of over 880 thousand, at $1.65 per 1,000 gallons of potable water (based on Sturdivant et al.), the cost would be almost $80... of Days per Year 365 (c) Multiplied by Per Capita Daily Potable Water Consumption (gals) 150 (d) Multiplied by Cost Estimate for Desalination Process ($/1,000 gals) $1.65 (e) Results in Total Residential Cost for South Texas $79.5 million Conclusions...

  15. Lab Expectations – Lab 10: A “Predator-Prey” Problem

    E-Print Network [OSTI]

    mguymon

    2005-10-31

    What is the significance for the populations of food fish and selachians of the fact that the orbits are closed loops? 3. Explain why, as a function of x, that equation ...

  16. Styles of Political Representation: What do Voters Expect?

    E-Print Network [OSTI]

    Bengtsson, Åsa; Wass, Hanna

    2009-01-01

    elections of 2007 in Finland. Unpublished manuscript.Assistance. Statistics Finland. (2007) Eduskuntavaalit 2007,et al. 2005, 84). Finland is a particularly interesting case

  17. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    codes that require certain construction standards, industrial standards for energy efficiency management (ISO 50001) and system assessment (ANSI-ASME)).

  18. Parental Expectations and Children's Academic Performance in Sociocultural Context

    E-Print Network [OSTI]

    Yamamoto, Yoko; Holloway, Susan D.

    2010-01-01

    differences in school performance. Social Psychologytheir children's school performance. American Educationaland children's school performance. Child Development, 64,

  19. Estimating the expected latency to failure due to manufacturing defects 

    E-Print Network [OSTI]

    Dorsey, David Michael

    2004-09-30

    Manufacturers of digital circuits test their products to find defective parts so they are not sold to customers. Despite extensive testing, some of their products that are defective pass the testing process. To combat ...

  20. Worst-case-expectation approach to optimization under uncertainty

    E-Print Network [OSTI]

    2012-10-30

    applied to Brazilian operation planning of hydro plants. ..... t = 2, ..., T, is discretized by generating random sample from probability distribution of each random.

  1. Optimizing prey-capture behaviour to maximize expected net benefit

    E-Print Network [OSTI]

    Bolnick, Daniel I.

    income from an attack, enet, is less than eprey because only a fraction (a) of the prey's energy be subtracted from the assimilated income. Consequently, enet = aeprey - ecapture (1) assuming that a prey enet if capture is successful, otherwise capture energy is expended with no return. If Pcapture

  2. Adaptation and adaptability : expectant design for resilience in coastal urbanity

    E-Print Network [OSTI]

    Ruskeepää, Laura A. Delaney (Laura Ashley Delaney)

    2011-01-01

    What is the nature of and possibility for urban resiliency through adaptation? Adaptation implies responsiveness to phenomena that are disruptive to a system's functioning; it is a willful evolution in response to changed ...

  3. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    of Labor Statistics. Energy Efficiency Services Sector:DC. American Council for an Energy Efficient Economy. EnergyAmerican Council for an Energy-Efficient Economy. Eto, J. ,

  4. Expectation and locality effects in German verb-final structures

    E-Print Network [OSTI]

    Levy, Roger P; Keller, Frank

    2013-01-01

    Society. Ehrlich, S. F. , & Rayner, K. (1981). ContextualS and S-PLUS. Springer. Rayner, K. , & Pollatsek, A. (1989).Cliffs, NJ: Prentice Hall. Rayner, K. , Warren, T. , Juhasz,

  5. Neutrino masses and Neutrinoless Double Beta Decay: Status and expectations

    E-Print Network [OSTI]

    Oliviero Cremonesi

    2010-02-07

    Two most outstanding questions are puzzling the world of neutrino Physics: the possible Majorana nature of neutrinos and their absolute mass scale. Direct neutrino mass measurements and neutrinoless double beta decay (0nuDBD) are the present strategy to solve the puzzle. Neutrinoless double beta decay violates lepton number by two units and can occurr only if neutrinos are massive Majorana particles. A positive observation would therefore necessarily imply a new regime of physics beyond the standard model, providing fundamental information on the nature of the neutrinos and on their absolute mass scale. After the observation of neutrino oscillations and given the present knowledge of neutrino masses and mixing parameters, a possibility to observe 0nuDBDD at a neutrino mass scale in the range 10-50 meV could actually exist. This is a real challenge faced by a number of new proposed projects. Present status and future perpectives of neutrinoless double-beta decay experimental searches is reviewed. The most important parameters contributing to the experimental sensitivity are outlined. A short discussion on nuclear matrix element calculations is also given. Complementary measurements to assess the absolute neutrino mass scale (cosmology and single beta decays) are also discussed.

  6. Loan Guarantees for Three California PV Solar Plants Expected...

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

    Tempe, Arizona, is sponsoring all three projects and will supply them with Cd-Te thin film solar PV modules -- also known as solar panels -- from a new Mesa, Arizona,...

  7. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    the Massachusetts Energy Efficiency and Building ScienceStudy on Energy Efficiency in Buildings. American CouncilSummer Study on Energy Efficiency in Buildings. The United

  8. Section 5: Expected Value; Percentiles, Median, and Mode

    E-Print Network [OSTI]

    2014-09-27

    Sep 30, 2014 ... Smith finds the carnival game “over-under-seven” irresistible. The game involves the random toss of two fair dice. If a player bets 1 on “over” ...

  9. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    of Labor Statistics. Energy Efficiency Services Sector:Renewable Energy and Energy Efficiency: Economic Drivers forStatewide Long Term Energy Efficiency Strategic Plan. ” San

  10. Introduction Global climate change is expected to have drastic af-

    E-Print Network [OSTI]

    Ayres, Matthew.P.

    and fungi (Klepzig et al. 2001b). Recent stud- ies of beetle communities reveal that mites, bark beetles of temperature on beetle reproduction could not be assessed because of high wood borer density, but inter

  11. The Impact of Structural Genomics: Expectations and Outcomes

    E-Print Network [OSTI]

    Chandonia, John-Marc; Brenner, Steven E.

    2005-01-01

    Choi et al. , J Struct Funct Genomics 4, 31-4 (2003). H. M.Center for Structural Genomics, sequence families of unknownMCSG) Northeast Structural Genomics Consortium, Novel folds

  12. Page 1 of 6 Guidelines on Expectations of Faculty Performance

    E-Print Network [OSTI]

    Huang, Wei

    performance reviews, and post-tenure review. Background TheUniversity'smissionistoeducatethe informed citizens public or private universities in the United States and to be the top public university in the United a commitment to excellence in all aspectsofafacultymember's responsibilities, including teaching, researc

  13. An Expectation States Approach to Examining Medical Team Information Exchange 

    E-Print Network [OSTI]

    Manago, Bianca

    2013-07-30

    and prestige methodology to develop a coding scheme and live coding methodology that is attuned to the unique status organizing process in interprofessional medical teams. This paper begins with an explanation of the shortcomings in current research...

  14. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    of Labor Statistics. Energy Efficiency Services Sector:of Energy Engineers 2009a. “Energy Independence and MarketTrends: AEE Survey of the Energy Industry 2009. ” http://

  15. Turkey Marine Lubricants Market is Expected to Reach USD 177...

    Open Energy Info (EERE)

    are primarily categorized into seven different applications including engine oils, hydraulic oils, grease, turbine oils, gear oils, compressor oils and heat transfer fluids....

  16. The effects of teacher perceptions and expectations on student achievement

    E-Print Network [OSTI]

    Contreras, Mary E.

    2011-01-01

    and organization; classroom management and discipline; self-planning and classroom management and engagement. Moreher students, classroom management, instructional planning,

  17. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    for nuclear energy (Prelaw 2008). Energy Efficiency ServicesEnergy Efficiency Services Sector: Workforce Size Two implementation contractor respondents mentioned defense, semiconductor, nuclear, and

  18. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    Statistics. Energy Efficiency Services Sector: WorkforceRenewable Energy and Energy Efficiency: Economic Drivers forStatewide Long Term Energy Efficiency Strategic Plan. ” San

  19. A Reservoir Sampling Algorithm with Adaptive Estimation of Conditional Expectation

    E-Print Network [OSTI]

    Vucetic, Slobodan

    a reservoir with capacity to hold R examples, the simplest procedure [4] is to replace the t-th observed example from a stream with a randomly chosen reservoir example with probability min(1, R examples, other than the R examples included in the reservoir, are simply ignored. Manuscript received

  20. Expected Future Value Decomposition Based Bid Price Generation ...

    E-Print Network [OSTI]

    2009-11-15

    associated with a scenario group, such that two scenarios belong to the same group ...... In Proceedings of the Twenty Eight Annual AGIFORS Symposium, New

  1. Foiled Expectations: When Democracy Doesn't Deliver 

    E-Print Network [OSTI]

    Wimpy, Cameron

    2014-08-25

    an obvious statistical ana- logue. This is a necessary step in the EITM framework which I employ in this dissertation (Granato, Lo and Wong (2010); see also Granato and Scioli (2004)). I formally present the decision whether or not to vote as: Pr(𝑣𝑖𝑗𝑡 = 1...

  2. What Does Industry Expect From An Electrical Utility 

    E-Print Network [OSTI]

    Jensen, C. V.

    1989-01-01

    The electric utility industry is an important supplier to Union Carbide and as such must become a proactive participant in our quality programs which are aimed at continuous improvement in everything we do. The essential ingredients in the supplier...

  3. Evaluations and the Formation and Maintenance of Performance Expectations 

    E-Print Network [OSTI]

    Berger, Joseph; Conner, Thomas L; McKeown, William L.

    2015-07-28

    " with respect to number of correct final choices was presented to each set of subjects. A score of 31-40 correct final decisions was defined as "good" and a score of from 0-30 correct final decisions was defined as ranging from ‘,poor" to only "fair... in the light of our findings from this investigation. ^For an application and extension of this argument to the case of task- oriented groups whose members are initially differentiated in terms of socially valued status characteristics (sex, race, occupation...

  4. Participant Name and City/State:__________________________________________________ Participant Expectations

    E-Print Network [OSTI]

    Ishida, Yuko

    that is inappropriate or unsafe is not tolerated. Behaviors that are inappropriate will result in termination from the program without any whole or partial refund. Please see our policy on picking up the child if necessary

  5. Expectations for Oil Shale Production (released in AEO2009)

    Reports and Publications (EIA)

    2009-01-01

    Oil shales are fine-grained sedimentary rocks that contain relatively large amounts of kerogen, which can be converted into liquid and gaseous hydrocarbons (petroleum liquids, natural gas liquids, and methane) by heating the rock, usually in the absence of oxygen, to 650 to 700 degrees Fahrenheit (in situ retorting) or 900 to 950 degrees Fahrenheit (surface retorting). (Oil shale is, strictly speaking, a misnomer in that the rock is not necessarily a shale and contains no crude oil.) The richest U.S. oil shale deposits are located in Northwest Colorado, Northeast Utah, and Southwest Wyoming. Currently, those deposits are the focus of petroleum industry research and potential future production. Among the three states, the richest oil shale deposits are on federal lands in northwest Colorado.

  6. COMMENTARY: What to Expect from US "Democracy Promotion" in Iraq

    E-Print Network [OSTI]

    Robinson, William I.

    2004-01-01

    Democracy Promotion” in Iraq William I. Robinson Universityfor “promoting democracy” in Iraq is an integral componentinvasion and occupation of Iraq and they face an expanding

  7. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    number of themes about the structure of the energy efficiency services sector (EESS). For some companies

  8. Employment Outlook Aerospace engineers are expected to have 10 percent

    E-Print Network [OSTI]

    Krovi, Venkat

    · Build a super-mileage solar-powered aircraft Employers UB AE graduates have joined top employers world have broken technological frontiers, building and creating the previously unimaginable. One hundred, spacecraft, and rocket science. Curriculum Overview Freshman-Sophomore The first two years build the basic

  9. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    of Labor Statistics. Energy Efficiency Services Sector:Renewable Energy and Energy Efficiency: Economic Drivers forFace of Energy Efficiency and Market Transformation. ”

  10. Project: An International Network on Expectational coordination. 1. Introduction.

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    to herd or more generally may generate inefficiencies or failures of social learning (which often have capabilities of the system, which, as is now argued by many, is at the heart of its recent failures. 2

  11. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    Income Home Energy Assistance Program National Association for State Community Services Programs program administrator program implementation contractors program support contractor Petroleum

  12. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    Efficiency and Renewable Energy 2009a. “WeatherizationEnergy Efficiency and Renewable Energy 2009b. “2009 RecoveryEnergy Efficiency and Renewable Energy 2009. “Weatherization

  13. Prospects, technology outlook and expectations AMOS Kick-off Seminar

    E-Print Network [OSTI]

    Nørvåg, Kjetil

    Distillate Fuels LPG GTL CNG Biogas Hydrogen Battery Nuclear Available + established distribution network to offer the same sailing distance Politicians say that biogas might become available in the future Shipping industry doubts that biogas will penetrate any significant share of shipping. Identical systems

  14. Raising Expectations [Place Debate: Revisiting the Phoenix Public Art Plan

    E-Print Network [OSTI]

    Morrish, William

    1996-01-01

    was a co-author of the Phoenix Public Ait. Plan. Placesthe impact of the plan. Phoenix's art program added to and

  15. Mistaken Expectations, But Do They Matter?1 Peter R. Hartley

    E-Print Network [OSTI]

    Osherson, Daniel

    to reality. Another approach is to use surveys of individual beliefs about a critical variable that conflict with the axioms of probability.3 Such conflicts imply that the resulting estimates are inaccurate is of great interest to them. In addition, numerous previous studies have shown that subjective 2 A third

  16. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01

    Clean Energy Center has created the Massachusetts Energy Efficiency and Building Science Training Initiative,

  17. Liners and Covers: Field Performance & Life Expectancy | Department of

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProvedTravelInformation Resources»Jim Manion Leading theViolations

  18. Quality Control, Standardization of Upgrades, and Workforce Expectations |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAandSummary From: Julia Hammand DistributionDepartmentQuality

  19. Program Evaluation: Requirements and Expectations | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing Tool Fits theCommitteeCrystallineReserveInformation ResourcesPreparationPurposeWhy, What,

  20. ARM - Expectations for Campaign Implementation and Close Out

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments? WeDatastreamstps DocumentationAtlanticENA ContactsProductsSACR2 pre-CGA IngestedJanuary

  1. NYO-8796 ANALYTIC PROPERTIES OP EXPECTATION VALUES OF

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines lightGeospatialDevelopment of09 AugustPlasmaResearchers Field-TestNOV 28796

  2. Federal Offshore--California Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969Central RegionReportingElectricitybaseline

  3. Federal Offshore--Texas Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWells (Million CubicBased Production

  4. Florida Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWells (MillionProved ReservesYear Jan FebYear Jan

  5. Kansas Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillionReserves (BillionYear Jan

  6. Kentucky Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of Elements) Kentucky Natural Gas

  7. Louisiana (with State Offshore) Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809Proved ReservesProduction

  8. Louisiana - North Dry Natural Gas Expected Future Production (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297Feet) Dry Natural Gas

  9. Louisiana - South Onshore Dry Natural Gas Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297Feet) Dry(Million(Billion

  10. Louisiana Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297Feet)Separation,Crude

  11. Louisiana State Offshore Dry Natural Gas Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33CubicProcessed inSeparation,(Billion

  12. Louisiana--North Natural Gas Plant Liquids, Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number(Million Barrels) Proved(Million

  13. Louisiana--South Onshore Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number(Million(Million Barrels)

  14. Lower 48 Federal Offshore Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential ConsumersProduction (MillionReserves (MillionProduction

  15. Lower 48 States Natural Gas Plant Liquids, Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential ConsumersProductionBarrels) Reserves(Million

  16. Michigan Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014 MEMORANDUMProved ReservesDecadeYear Jan

  17. Alabama (with State Offshore) Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers THURSDAY, AugustProduction (Million

  18. Alaska (with Total Offshore) Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers4.32 4.46Production (Million Barrels)

  19. Arkansas Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona - Natural GasYearElements) Gas

  20. California (with State Offshore) Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona -

  1. California - Coastal Region Onshore Dry Natural Gas Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona -Production (MillionProvedProduction

  2. California - Los Angeles Basin Onshore Dry Natural Gas Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona -ProductionWet After LeaseReserves

  3. California - San Joaquin Basin Onshore Dry Natural Gas Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona -ProductionWet AfterWet AfterProduction

  4. California Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona -ProductionWet AfterWetLeaseCrude Oil

  5. California Federal Offshore Dry Natural Gas Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona -ProductionWet

  6. California State Offshore Dry Natural Gas Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 ArizonaResidential(Million Barrels) Crude Oil

  7. California--Coastal Region Onshore Natural Gas Plant Liquids, Expected

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 ArizonaResidential(Million Barrels)Future

  8. California--State Offshore Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 ArizonaResidential(MillionFeet)BasedProduction

  9. Colorado Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic Feet) Gas

  10. New Mexico Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2,2,435,2226 (nextNetperProductionNetYear Jan

  11. North Dakota Dry Natural Gas Expected Future Production (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5Net+ Lease CondensateFeet)

  12. North Dakota Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3 Year-4

  13. Oklahoma Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3+ LeaseWellhead% ofElements) Gas

  14. Pennsylvania Dry Natural Gas Expected Future Production (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3+Elements) Gas6Proved

  15. Miscellaneous States Dry Natural Gas Expected Future Production (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014 MEMORANDUMProvedFeet)Year JanBarrels)Cubic

  16. Miscellaneous States Natural Gas Plant Liquids, Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014 MEMORANDUMProvedFeet)YearProduction

  17. Mississippi (with State Offshore) Natural Gas Plant Liquids, Expected

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014Proved Reserves (Billion CubicFuture Production

  18. Mississippi Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014Proved Reserves (Billionoff) ShaleCrude Oil +

  19. Montana Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYear Jan Feb Mar Apr May Jun Jul

  20. Texas (with State Offshore) Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1Plant Processing

  1. Texas Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation, Proved(Million(MillionReserves

  2. Texas State Offshore Dry Natural Gas Expected Future Production (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation,% of TotalOklahoma (MillionBarrels)

  3. Utah Natural Gas Plant Liquids, Expected Future Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData20092009

  4. Utah and Wyoming Natural Gas Plant Liquids, Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData20092009Reserves Based38(Million Barrels)

  5. Virginia Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData20092009ReservesThousand CubicProductionCrude

  6. West Virginia Dry Natural Gas Expected Future Production (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1 Year-2Year Jan FebBarrels)

  7. West Virginia Natural Gas Plant Liquids, Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1 Year-2Year Jan% ofProductionYear(Million

  8. Expected annual electricity bill savings for various PPA price options |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA Jump to:ofEnia SpA JumpGmbH EFC JumpPennsylvania) Jump to:Open

  9. The Impact of Structural Genomics: Expectations and Outcomes (Journal

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail. (Conference)FeedbackProperties of GrapheneProposed Mitigation StrategiesArticle) |

  10. The Impact of Structural Genomics: Expectations and Outcomes (Journal

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail. (Conference)FeedbackProperties of GrapheneProposed Mitigation StrategiesArticle)

  11. Property:EZFeed/ExpectedCapacity | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to: navigation, search PropertyIsoOther Jump to:RtoSpp Jump to:

  12. NRC Leadership Expectations and Practices for Sustaining a High Performing

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties -Department of EnergyNEW1for AcquisitionNORTHEASTofOrganization |

  13. Household heating bills expected to be lower this winter

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIA lowerslong4,Guide toHigh oilHousehold

  14. The Impact of Teachers' Expectations, Parents' Expectations, and Academic Self-Efficacy on the Achievement of English Language Learners 

    E-Print Network [OSTI]

    Rivera, Vivina

    2012-10-19

    Given the projected increase of Hispanic Spanish-speaking English language learners (ELLs), researchers have begun examining issues related to their high levels of school dropout, largely stemming from academic underachievement. ...

  15. 730 | 146 | 20% 102 | 16 | 16%

    E-Print Network [OSTI]

    Lee, Dongwon

    % Guinea 1 | 0 | 0% Senegal 2 | 1 | 50% Sierra Leone 2 | 0 | 0% Liberia 3 | 0 | 0% Ivory Coast 4|0|0% Ghana

  16. http://http.cs.berkeley.edu/~wkahan/Cantilever.ps July 3, 1997 3:36 pm W. Kahan and Melody Ivory Univ. of Calif. @ Berkeley Page 1 of 11

    E-Print Network [OSTI]

    California at Berkeley, University of

    cantilevered steel spar. Discretization generates N simultaneous linear equations that can be solved in time A uniform steel spar is clamped horizontal at one end and loaded with a mass at the other. How far does the spar bend under load? The calculation is discretized: For some integer N large enough ( typically

  17. http://http.cs.berkeley.edu/~wkahan/Cantilever.ps July 3, 1997 3:36 pm W. Kahan and Melody Ivory Univ. of Calif. @ Berkeley Page 1 of 11

    E-Print Network [OSTI]

    California at Berkeley, University of

    cantilevered steel spar. Discretization generates N simultaneous linear equations that can be solved in time Degrades an Idealized Cantilever A uniform steel spar is clamped horizontal at one end and loaded with a mass at the other. How far does the spar bend under load? The calculation is discretized: For some

  18. Dyula intellectualism in the Ivory Coast and Ghana : a study of the life and career of Al-H?a?jj S?a?lih? b. Muh?ammad b. Uthma?n 

    E-Print Network [OSTI]

    Muhammad, Akbar

    1974-01-01

    This thesis is concerned with the 19th century politico-religious and intellectual aspects of the Dyula of Bondoukou and the career of al-H?a?jj S?a?lih? b. Muh?ammad b. Uthma?n of Jinini (d. 1932). Among the points of discussion...

  19. Exploring the industrial hygiene academic curriculum: Expectations and perceptions of the profession 

    E-Print Network [OSTI]

    Breeding, David Clarence

    2009-05-15

    Although the multi-disciplinary profession of industrial hygiene (IH) has been established for many years and IH practitioners have been prolific in developing the technical tools for recognition, evaluation and control of workplace hazards, few...

  20. Surpassing Expectations: State of the U.S. Wind Power Market

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01

    up their activities: Clipper Windpower is in the process ofof January 2008. Nordic Windpower, a manufacturer of two-

  1. Photo: Bruno Marty / IRD Observed and expected changes to the tropical

    E-Print Network [OSTI]

    Qiu, Bo

    simulations 104 3.2 Features of the tropical Pacific Ocean 105 3.2.1 Large-scale currents 105 3.2.2 Ocean.3 Observed and projected changes in the tropical Pacific Ocean 141 3.3.1 Large-scale currents 141 3.3.2 Ocean, dissolved oxygen concentration and pH affect biological activity; and oceanic currents, waves and sea level

  2. WHAT TO EXPECT FROM SECTORAL TRADING: A US-CHINA EXAMPLE

    E-Print Network [OSTI]

    02139-4307, USA *Hjacoby@mit.edu In the recent United Nations Framework Convention on Climate Change the Chinese electricity sector and a US economy-wide cap-and-trade program using the MIT Emissions Prediction represents 46% of its capped emissions. In China, sectoral trading increases the price of electricity

  3. Icon + expectation : exploring the evolution of the American single family home

    E-Print Network [OSTI]

    Wilcox, Michael E. (Michael Eaves), 1975-

    2000-01-01

    To propose a new conceptualization of "home", it is necessary to explore the mechanisms that have created this revered icon. Since the industrial revolution, the commercial packaging of the home has continually reinforced ...

  4. Impact of different building ventilation modes on occupant expectations of the main IEQ factors

    E-Print Network [OSTI]

    Kim, Jungsoo; de Dear, Richard

    2012-01-01

    Buildings. [4] USGBC. Green building design and constuction:reference guide for green building design and construction.Technical manual: green star office design & office as built

  5. The heterogeneous expectations hypothesis: Some evidence from the lab Cars Hommes

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    switching a b s t r a c t This paper surveys learning-to-forecast experiments (LtFEs) with human subjects-level. In particular, we focus on the question wether the evidence from laboratory experiments is consistent hypothesis, as a special instance of the adaptive laws that we believe govern all human behavior'' (Lucas

  6. Optimization of the transmission of observable expectation values and observable statistics in Continuous Variable Teleportation

    E-Print Network [OSTI]

    L. Albano Farias; J. Stephany

    2010-09-28

    We analyze the statistics of observables in continuous variable quantum teleportation in the formalism of the characteristic function. We derive expressions for average values of output state observables in particular cumulants which are additive in terms of the input state and the resource of teleportation. Working with Squeezed Bell-like states, which may be optimized in a free parameter for better teleportation performance we discuss the relation between resources optimal for fidelity and for different observable averages. We obtain the values of the free parameter which optimize the central momenta and cumulants up to fourth order. For the cumulants the distortion between in and out states due to teleportation depends only on the resource. We obtain optimal parameters for the second and fourth order cumulants which do not depend on the squeezing of the resource. The second order central momenta which is equal to the second order cumulants and the photon number average are optimized by the same resource. We show that the optimal fidelity resource, found in reference (Phys. Rev. A {\\bf 76}, 022301 (2007)) to depend also on the characteristics of input, tends for high squeezing to the resource which optimizes the second order momenta. A similar behavior is obtained for the resource which optimizes the photon statistics which is treated here using the sum of the squared differences in photon probabilities of input and output states as the distortion measure. This is interpreted to mean that the distortions associated to second order momenta dominates the behavior of the output state for large squeezing of the resource. Optimal fidelity and optimal photon statistics resources are compared and is shown that for mixtures of Fock states they are equivalent.

  7. Turbines Market is Expected to Reach USD 191.87 Billion by 2020...

    Open Energy Info (EERE)

    reaction turbines, the feed material e.g. air in case of wind turbines and rivers or dams in case of hydropower ones, goes 'through' the blades to drive the turbine. Currently,...

  8. ANATOMICAL GUIDED SEGMENTATION WITH NON-STATIONARY TISSUE CLASS DISTRIBUTIONS IN AN EXPECTATION-MAXIMIZATION FRAMEWORK

    E-Print Network [OSTI]

    knowledge of the anatom- ical structures have shown promising results. This prior in- formation is often model of a structure and principal modes of variations based on a sample population [2, 3, 4, 5]. When a new subject needs to be segmented, the model is deformed to best fit the subject's image data

  9. Surpassing Expectations: State of the U.S. Wind Power Market

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01

    The Annual Report on U.S. Wind Power Installation, Cost, andState of the U.S. Wind Power Market Intro Sidebar: The U.S.Annual Report on U.S. Wind Power Installation, Cost, and

  10. WHAT TO EXPECT FROM SECTORAL TRADING: A US-CHINA EXAMPLE

    E-Print Network [OSTI]

    and increases electricity generation. Keywords: Climate; sectoral agreements; emissions trading; carbon leakage an Emissions Trading Scheme, international negotiations aim to foster wider agreements, particularly

  11. Understanding Change in Romantic Relationship Expectations of International Female Students from Turkey

    E-Print Network [OSTI]

    Delevi, Raquel; Bugay, Asl?

    2010-01-01

    N. (2003). Marriage in Turkey. In R. R. Hamon & B. B.structure. Ankara, Turkey: State Planning Organization.D. (2002). ‘‘Brain drain’’ from Turkey: Survey evidence of

  12. POST-OPERATIVE INSTRUCTIONS AND EXPECTATIONS UNIVERSITY OF WASHINGTON, DEPT. OF OBSTETRICS & GYNECOLOGY

    E-Print Network [OSTI]

    Borenstein, Elhanan

    drainage of pus or blood, or a large amount of watery drainage. MEDICATIONS: · Usually you, for most jobs we recommend you return to work six weeks after surgery. · You should not lift anything

  13. Empirical Analysis of Value at Risk and Expected Shortfall in Portfolio Selection Problem 

    E-Print Network [OSTI]

    Ding, Liyuan 1988-

    2012-12-11

    Safety first criterion and mean-shortfall criterion both explore cases of assets allocation with downside risk. In this paper, I compare safety first portfolio selection problem and mean-shortfall portfolio optimization problem, considering risk...

  14. The role of impulsivity, affect, and expectations in alcohol use and disordered eating

    E-Print Network [OSTI]

    Monreal, Teresa Kathleen

    2012-01-01

    eating disorders to anorexia nervosa and bulmia nervosa.complications of anorexia nervosa and bulimia nervosa.and disorders in anorexia nervosa and bulimia nervosa.

  15. Reliable before-fabrication forecasting of expected surface slope distributions for x-ray optics

    E-Print Network [OSTI]

    Yashchuk, Yekaterina V.

    2013-01-01

    measurements of x-ray optics,” Proc. SPIE 5921, 59210G (radiation grazing-incidence optics,” Nucl. Instrum. Methodsray beams by reflective optics,” Proc. SPIE 4782, 271-276 (

  16. Expectations for the hard x-ray continuum and gamma-ray line...

    Office of Scientific and Technical Information (OSTI)

    continuum and gamma-ray lines from a Type Ia supernova dominate its integrated photon emissions and can provide unique diagnostics of the mass of the ejecta, the sup 56Ni yield...

  17. Slow changes in performance consistent with expectations for increasing radiation damage and contamination deposition

    E-Print Network [OSTI]

    Grant, Catherine E.

    and contamination deposition · Performance changes do not substantially degrade instrument capabilities · Quiescent damage, molecular contamination and aging in general. Here we present highlights from the instrument team). " Molecular Contamination! · Hydrocarbon contaminant is accumulating on the ACIS filter · Strong absorption

  18. $6000 FUNDED INTERNSHIPS GCFSI sponsored internees are expected to work in developing countries on projects

    E-Print Network [OSTI]

    , to packaging, to transportation. Students will also be placed on projects related to workforce training, gender organizations (e.g. universities, industries, and NGOs) in Malawi, Tanzania, Zambia, India, Vietnam, Nepal

  19. Expected Precision of Higgs Boson Partial Widths within the Standard Model

    E-Print Network [OSTI]

    G. Peter Lepage; Paul B. Mackenzie; Michael E. Peskin

    2015-04-22

    We discuss the sources of uncertainty in calculations of the partial widths of the Higgs boson within the Standard Model. The uncertainties come from two sources: the truncation of perturbation theory and the uncertainties in input parameters. We review the current status of perturbative calculations and note that these are already reaching the parts-per-mil level of accuracy for the major decay modes. The main sources of uncertainty will then come from the parametric dependences on alpha_s, m_b, and m_c. Knowledge of these parameters is systematically improvable through lattice gauge theory calculations. We estimate the precision that lattice QCD will achieve in the next decade and the corresponding precision of the Standard Model predictions for Higgs boson partial widths.

  20. On the relation between expected returns and implied cost of capital

    E-Print Network [OSTI]

    Hughes, John; Liu, Jing; Liu, Jun

    2009-01-01

    Toward an implied cost of capital. Journal of AccountingP. (2003). Inferring the cost of capital using the Ohlson–2003). Properties of implied cost of capital using analysts’

  1. B.S. Chemical Engineering, UC Berkeley Expected Graduation: 2017 Relevant Coursework

    E-Print Network [OSTI]

    Yaghi, Omar M.

    . o Developed photovoltaic blinds that provide shade while generating clean electricity. o Presented

  2. Individual innovation in the workplace: the role of performance and image outcome expectations 

    E-Print Network [OSTI]

    Yuan, Feirong

    2009-05-15

    Why do people engage in innovative behavior in the workplace? More specifically, what motivational reasons affect an employee?s decision to introduce new product ideas, apply new work methods, and suggest new ways to achieve objectives? Based...

  3. Resurrecting the Size Effect: Firm Size, Profitability Shocks, and Expected Stock Returns

    E-Print Network [OSTI]

    Aazhang, Behnaam

    and Mathijs A. van Dijk* September 2008 Abstract Recent studies report that the size effect in U.S. stock of Business, Ohio State University. Mathijs A. van Dijk is at the Rotterdam School of Management, Erasmus Dijk (2006) for a survey of the literature to date. 2 Dichev (1998), Chan, Karceski, and Lakonishok

  4. He II Ly{beta} GUNN-PETERSON ABSORPTION: NEW HST OBSERVATIONS AND THEORETICAL EXPECTATIONS

    SciTech Connect (OSTI)

    Syphers, David; Pieri, Matthew; Shull, J. Michael; Anderson, Scott F.; Zheng, Wei; Kriss, Gerard A.; Smith, Britton; Meiksin, Avery; Schneider, Donald P.; York, Donald G.

    2011-12-01

    Observations of He II Ly{alpha} Gunn-Peterson troughs have proved to be a valuable probe of the epoch of helium reionization at z {approx} 3. Since this optical depth can become unmeasurably large even for modest He II fractions, various alternate techniques have been proposed to push to higher redshift, and among the more promising is looking at higher-order Lyman-series troughs. We here report four new observations of the He II Ly{beta} trough, including new data on the only sightline with a prior Ly{beta} observation. However, the effective optical depth ratio {tau}{sub eff,{beta}}/{tau}{sub eff,{alpha}} is not simply predicted by f{sub {beta}}{lambda}{sub {beta}}/f{sub {alpha}}{lambda}{sub {alpha}} = 0.16, and we analyze cosmological simulations to find that the correct ratio for helium at z {approx} 3 is {approx_equal}0.35. In one case we infer {tau}{sub eff,{alpha}} > 8.8, strong evidence that helium was not fully reionized at z = 3.2-3.5, in agreement with previous measurements suggesting a later completion of reionization.

  5. PART A: OVERVIEW OF CODE This Code sets out the University's expectations of

    E-Print Network [OSTI]

    New South Wales, University of

    resources for private gain or the gain of a third party; and use information and community technology and Communication Technology Devices Policy. 1 Academic Freedom The University recognises and protects the concept with respect to their professional and personal conduct. It is intended to promote integrity and ethical

  6. Surpassing Expectations: State of the U.S. Wind Power Market

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01

    on U.S. Wind Power Installation, Cost, and Performancecontinued to put upward pressure on wind turbine costs,wind project costs, and wind power prices in 2007. Since

  7. he U.S. Coast Guard expects all of its Sikorsky Aircraft MH-60T

    E-Print Network [OSTI]

    Almor, Amit

    ;2 VERTIFLITE May/June 2013 money by helping fleet managers buy parts more efficiently.The Coast Guard vibration

  8. Social Reasoning in Multi-Agent Systems with the Expectation-Strategy-Behaviour Framework 

    E-Print Network [OSTI]

    Wallace, Iain Andrew

    2010-01-01

    Multi-agent Systems (MAS) provide an increasingly relevant field of research due to their many applications to modelling real world situations where the behaviour of many individual, self-motivated, agents must be reasoned ...

  9. QUANTUM ENERGY EXPECTATION IN PERIODIC TIME-DEPENDENT HAMILTONIANS VIA GREEN

    E-Print Network [OSTI]

    1. Introduction Consider a general periodically driven quantum hamiltonian system H(t) = H0 + V (t the system then Um F is this state at time m. Typically, the unper- turbed hamiltonian H0 is assumed to have accelerator in which a particle can acquire unbounded energy from collisions with a heavy periodically moving

  10. WPP, No. 108: Information Structural Expectations in the Perception of Prosodic Prominence

    E-Print Network [OSTI]

    Bishop, Jason

    2010-01-01

    2008, 609-612. Ito, K. , Speer, S. , & Beckman, M. (2004).2004, 279-282. Ito, K. & Speer, S. (2008). Anticipatorycan be found in Ito and Speer (2008). In their eye-tracking

  11. Reliable before-fabrication forecasting of expected surface slope distributions for x-ray optics

    E-Print Network [OSTI]

    Yashchuk, Yekaterina V.

    2013-01-01

    of x-ray optics for the LCLS free-electron laser,” Proc.beamlines and diagnostics at LCLS,” Nucl. Instrum. Methods A

  12. Beyond the (Linguistically) Expected: Activating Event Knowledge During Real-Time Language Comprehension

    E-Print Network [OSTI]

    Metusalem, Ross

    2015-01-01

    6), 437-468. Frazier, L. , & Rayner, K. (1982). Making andBrain Research, 1153, 166-177. Rayner, K. , Carlson, M. , &NeuroImage, 62, 816-847. Rayner, K. & Morrison, R.E. (1981).

  13. Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations

    E-Print Network [OSTI]

    Frankel, Jeff; Froot, Ken

    1986-01-01

    Sep-83 Í0-Oct-S3 25-GCÍ-33 07-NGV-B3 2! -i, ov-33 ? 5-De:-3333 12-S63-S3 27-Eep-í:3 07-NGV-33 21-NDV-33 •)5-9e. :-33 lO-

  14. The Effect of Identities and Expectations on Emotions, Behavior, and Cognitive Changes

    E-Print Network [OSTI]

    Trettevik, Ryan

    2015-01-01

    Dawn T. 2007. "Control Theories in Sociology." Annual ReviewSmith-Lovin. 2006. “Affect Control Theory. ” Pp. 137- 164 inK. Wisecup. 2006. “Affect Control Theory. ” Pp. 179-202 in

  15. EXPECTED LARGE SYNOPTIC SURVEY TELESCOPE (LSST) YIELD OF ECLIPSING BINARY STARS

    SciTech Connect (OSTI)

    Prsa, Andrej; Pepper, Joshua; Stassun, Keivan G.

    2011-08-15

    In this paper, we estimate the Large Synoptic Survey Telescope (LSST) yield of eclipsing binary stars, which will survey {approx}20,000 deg{sup 2} of the southern sky during a period of 10 years in six photometric passbands to r {approx} 24.5. We generate a set of 10,000 eclipsing binary light curves sampled to the LSST time cadence across the whole sky, with added noise as a function of apparent magnitude. This set is passed to the analysis-of-variance period finder to assess the recoverability rate for the periods, and the successfully phased light curves are passed to the artificial-intelligence-based pipeline ebai to assess the recoverability rate in terms of the eclipsing binaries' physical and geometric parameters. We find that, out of {approx}24 million eclipsing binaries observed by LSST with a signal-to-noise ratio >10 in mission lifetime, {approx}28% or 6.7 million can be fully characterized by the pipeline. Of those, {approx}25% or 1.7 million will be double-lined binaries, a true treasure trove for stellar astrophysics.

  16. How to Estimate Expected Shortfall When Probabilities Are Known with Interval or Fuzzy

    E-Print Network [OSTI]

    Kreinovich, Vladik

    the hurricane Katrina devastated New Orleans, why in 2011, Fukushima nuclear power station in Japan the record of historic floods, tsunamis, hurricanes, earthquakes, and other natural disasters to estimate was destroyed by an unusually high tsunami, etc. Since we cannot have a threshold s0 that would guarantee

  17. Calculating expected years of life lost for assessing local ethnic disparities in causes of premature death.

    E-Print Network [OSTI]

    Aragón, Tomás J; Lichtensztajn, Daphne Y; Katcher, Brian S; Reiter, Randy; Katz, Mitchell H

    2008-01-01

    of underlying cause and multiple causes of death: US vitallocal ethnic disparities in causes of premature death Tomásand ranking the underlying causes of premature death. The

  18. Ready...Go: Amplitude of the fMRI Signal Encodes Expectation of Cue Arrival Time

    E-Print Network [OSTI]

    arrival time, as when a sprinter waits for the starting pistol? And what happens just after the starting pistol fires? Using functional magnetic resonance imaging (fMRI), we have discovered a novel correlate

  19. Fighting the Floating Correlations: Expectations and Complications in Extracting Statistical Correlations from the String Theory Landscape

    E-Print Network [OSTI]

    Dienes, Keith R; Dienes, Keith R.; Lennek, Michael

    2007-01-01

    The realization that string theory gives rise to a huge landscape of vacuum solutions has recently prompted a statistical approach towards extracting phenomenological predictions from string theory. Unfortunately, for most classes of string models, direct enumeration of all solutions is not computationally feasible and thus statistical studies must resort to other methods in order to extract meaningful information. In this paper, we discuss some of the issues that arise when attempting to extract statistical correlations from a large data set to which our computational access is necessarily limited. Our main focus is the problem of ``floating correlations''. As we discuss, this problem is endemic to investigations of this type and reflects the fact that not all physically distinct string models are equally likely to be sampled in any random search through the landscape, thereby causing statistical correlations to ``float'' as a function of sample size. We propose several possible methods that can be used to o...

  20. Fighting the Floating Correlations: Expectations and Complications in Extracting Statistical Correlations from the String Theory Landscape

    E-Print Network [OSTI]

    Keith R. Dienes; Michael Lennek

    2006-10-31

    The realization that string theory gives rise to a huge landscape of vacuum solutions has recently prompted a statistical approach towards extracting phenomenological predictions from string theory. Unfortunately, for most classes of string models, direct enumeration of all solutions is not computationally feasible and thus statistical studies must resort to other methods in order to extract meaningful information. In this paper, we discuss some of the issues that arise when attempting to extract statistical correlations from a large data set to which our computational access is necessarily limited. Our main focus is the problem of ``floating correlations''. As we discuss, this problem is endemic to investigations of this type and reflects the fact that not all physically distinct string models are equally likely to be sampled in any random search through the landscape, thereby causing statistical correlations to ``float'' as a function of sample size. We propose several possible methods that can be used to overcome this problem, and we show through explicit examples that these methods lead to correlations and statistical distributions which are not only stable as a function of sample size, but which differ significantly from those which would have been naively apparent from only a partial data set.

  1. Degree Level Expectations for Graduates Receiving the Degree of Bachelor of Applied Science

    E-Print Network [OSTI]

    Prodiæ, Aleksandar

    of knowledge across mathematics, basic sciences, engineering sciences, engineering economics and engineering of Applied Science and Engineering University of Toronto Revised: May 28, 2008 1 Introduction This document except Engineering Science. The Faculty is putting forward a new degree for graduates of the Engineering

  2. 2010 Sambamurti Lecture: ?Expecting the Unexpected: Neutrino Physics at MiniBooNE?

    ScienceCinema (OSTI)

    Geralyn ?Sam? Zeller

    2010-09-01

    For more than 50 years, neutrinos have surprised researchers, not only by their mere presence, but also by the recent revelation that these ghostlike particles can oscillate from one type to another. This discovery has opened up a host of new questions about neutrinos and their properties ? questions that scientists are currently in a global race to answer.

  3. Acculturation, Alcohol Expectancies, and Alcohol Use Among Mexican-American Adolescents 

    E-Print Network [OSTI]

    Flato, Claudia Graciela

    2011-02-22

    in the current study indicated a higher orientation to Mexican culture predicted higher levels of alcohol involvement for boys; whereas, a higher orientation to U.S. culture predicted higher alcohol involvement for girls. Also, identification with Mexican culture...

  4. What Can We Expect to Gain from Reforming the Insolvent Trading Remedy?

    E-Print Network [OSTI]

    Williams, Richard

    2015-01-02

    Rickett (eds) Corporate Personality in the 20th Century, (Oxford: Hart, 1998). 14 Insolvency Act 1986 s.214(2)(b). See e.g. F. Oditah “Wrongful Trading” [1990] LMCLQ 205, 207-211 15 See e.g. Keay, “Company Directors Responsibility to Creditors”, n 11...

  5. USF ASIAN STUDIES -MINOR REQUIREMENTS CHECKLIST Name: ID#: Expected Graduation Date

    E-Print Network [OSTI]

    Galles, David

    and Politics of the Pacific Rim (4) ECON 283 Economies of Asia (4) POLS 359 International Politics of the Pacific Rim (4) ANST 342 OR INTD 342 China Today: Summer Immersion (4) Group II. South and Southeast Asian of the Asia Pacific YPSP 301 Philippine History from Early times to 1900 (4) YPSP 310 Philippine History from

  6. Surpassing Expectations: State of the U.S. Wind Power Market

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01

    States, new large-scale wind turbines were installed in 18The average size of wind turbines installed in the Uniteddominant manufacturer of wind turbines supplying the U.S.

  7. Numerical Simulation Study to Investigate Expected Productivity Improvement Using the "Slot-Drill" Completion 

    E-Print Network [OSTI]

    Odunowo, Tioluwanimi Oluwagbemiga

    2012-07-16

    of a vertical well with a single fracture, the case of a horizontal well with multiple hydraulic fractures, and various combinations of these completions. I also created a rectangular slot configuration, which is a simplified approximation...

  8. Surpassing Expectations: State of the U.S. Wind Power Market

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01

    private independent power producers (IPPs) continued toUtility (IOU) Independent Power Producer (IPP) 2007 Capacity

  9. Future e^+e^- flavour factories: detector challenges and physics expectations

    E-Print Network [OSTI]

    Yutaka Ushiroda

    2008-08-01

    Prospects of the two future e^+e^- flavour factories are discussed. The detector designs and the technical challenges are described together with the motivating physics background.

  10. Characterization of decontamination and decommissioning wastes expected from the major processing facilities in the 200 Areas

    SciTech Connect (OSTI)

    Amato, L.C.; Franklin, J.D.; Hyre, R.A.; Lowy, R.M.; Millar, J.S.; Pottmeyer, J.A. [Los Alamos Technical Associates, Kennewick, WA (United States); Duncan, D.R. [Westinghouse Hanford Co., Richland, WA (United States)

    1994-08-01

    This study was intended to characterize and estimate the amounts of equipment and other materials that are candidates for removal and subsequent processing in a solid waste facility when the major processing and handling facilities in the 200 Areas of the Hanford Site are decontaminated and decommissioned. The facilities in this study were selected based on processing history and on the magnitude of the estimated decommissioning cost cited in the Surplus Facilities Program Plan; Fiscal Year 1993 (Winship and Hughes 1992). The facilities chosen for this study include B Plant (221-B), T Plant (221-T), U Plant (221-U), the Uranium Trioxide (UO{sub 3}) Plant (224-U and 224-UA), the Reduction Oxidation (REDOX) or S Plant (202-S), the Plutonium Concentration Facility for B Plant (224-B), and the Concentration Facility for the Plutonium Finishing Plant (PFP) and REDOX (233-S). This information is required to support planning activities for current and future solid waste treatment, storage, and disposal operations and facilities.

  11. Supersymmetry and dark matter post LHC8: Why we may expect both...

    Office of Scientific and Technical Information (OSTI)

    conventional measures overestimate EWFT in SUSY theory. Radiatively-driven natural SUSY (RNS) models maintain the SUSY GUT paradigm with low EWFT at 10% level, but are...

  12. Descriptions and Expectations of Recommended BMPs for Improving the Bosque River Watershed 

    E-Print Network [OSTI]

    Meier, Megan; Gregory, Lucas

    2008-01-01

    of nutrients, especially phosphorus (P), entering surface water supplies. Several BMPs also focus on sediment control, as some of the soils in the watershed are highly erosive and pose the threat of transporting nutrients with them when they erode. Some BMPs...

  13. Cancer survivors and survivorship care: Provider expectations, post-treatment health services, and patient reported outcomes

    E-Print Network [OSTI]

    Hahn, Erin Elizabeth

    2013-01-01

    2011) Long Term Effects and Cancer Survivorship in the OlderGanz (Eds. ), Management of Cancer for the Older Patient (the Quality of Care for Cancer Survivors. Psycho-Oncology (

  14. Surpassing Expectations: State of the U.S. Wind Power Market

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01

    upward pressure on wind turbine costs, wind project costs,Wind Turbine Transaction Prices Over Time With turbines accounting for as much as 75%-80% of total project costs,

  15. Balancing the expected and the surprising in geometric patterns Neil A. Dodgson

    E-Print Network [OSTI]

    Dodgson, Neil

    movements: fauvism, cubism, art nouveau, art deco, Op art, pop art, modernism and post-modernism amongst by Bridget Riley's early Op art pieces, White Discs 2 (1964) and Fragment 6/9 (1965). I analyse these two that tests and supports this hypothesis, and discuss the implications. Key words: pattern, Op art, æsthetics

  16. In fiscal year 2014, our focus will continue to be on improving efficiency and raising expectations.

    E-Print Network [OSTI]

    Zhang, Yuanlin

    to increase plant efficiency · Complete phase 2 of switchgear project installing and swapping over switchgear

  17. CCNY Student Survey 1. Please indicate your expected year of graduation

    E-Print Network [OSTI]

    Sun, Yi

    .0% (199) 269 Tablet (Android) 93.9% (123) 74.0% (97) 131 Tablet (Windows) 64.0% (16) 76.0% (19) 25 Smart phone (iPhone) 97.0% (322) 79.5% (264) 332 Smart phone (Android) 97.7% (301) 80.2% (247) 308 Smart phone.4% (363) 29.9% (224) 9.6% (72) 1.2% (9) 10.9% (82) 750 Smart phones or PDAs (iPhone, Android, Blackberry

  18. carbides. The multiphase/polytypic region can be expected to occur also in the nitrides because

    E-Print Network [OSTI]

    Duffy, Thomas S.

    the same or similar total energies. From this finding, we suggest that compounds may be deposited, using optimum VEC, where several structures have the same energies, with essentially random stacking sequences (1988). 11. D. L. Price, B. R. Cooper, Phys. Rev. B 39, 4945 (1989). 12. S. H. Jhi, J. Ihm, S. G. Louie

  19. Sensor Data Collection with Expected Reliability Guarantees Qi Han, Iosif Lazaridis, Sharad Mehrotra, Nalini Venkatasubramanian

    E-Print Network [OSTI]

    Venkatasubramanian, Nalini

    used to evaluate sensor applications in addition to energy efficiency/system lifetime, latency, accu

  20. Effects of Parent Expectations and Involvement on the School Readiness of Children in Head Start 

    E-Print Network [OSTI]

    Cook, Krystal Tisha'

    2010-10-12

    There is an achievement gap occurring between ethnic minority children, mostly from low-income homes, and European American children in the United States. The gap between these children is present at school entry. Many ...

  1. Are analysts biased? An analysis of analysts' stock recommendations that perform contrary to expectations 

    E-Print Network [OSTI]

    Taffler, Richard; Mokoteli, Thabang; Ryan, Paul

    2006-01-01

    This paper seeks to test whether analysts are prone to behavioral biases when making stock recommendations. In particular, we work with stocks whose performance subsequent to a new buy or sell recommendation is in the ...

  2. Explaining low sulfur dioxide allowance prices : the effect of expectation errors and irreversibility

    E-Print Network [OSTI]

    Montero, Juan-Pablo

    1998-01-01

    The low price of allowances has been a frequently noted featured of the implementation of the sulfur dioxide emissions market of the U.S. Acid Rain Program. This paper presents theoretical and numerical analyses that explain ...

  3. High-energy Atmospheric Muon Flux Expected at India-Based Neutrino Observatory

    E-Print Network [OSTI]

    Sukanta Panda; Sergei I. Sinegovsky

    2008-02-04

    We calculate the zenith-angle dependence of conventional and prompt high-energy muon fluxes at India-Based Neutrino Observatory (INO) depth. This study demonstrates a possibility to discriminate models of the charm hadroproduction including the low-x QCD behaviour of hadronic cross-sections relevant at very high energies.

  4. Great expectations : provisional modernism and the reception of J.J.P. Oud

    E-Print Network [OSTI]

    Beischer, Thomas G. (Thomas Gustav), 1968-

    2004-01-01

    My dissertation analyzes the reception of the work of J.J.P. Oud (1890-1963), the modern Dutch architect, by examining the systems of dissemination and reception of modern European architecture from 1910 to 1953. Reception ...

  5. Free Energy and Plaquette expectation value for gluons on the lattice, in three dimensions

    E-Print Network [OSTI]

    H. Panagopoulos; A. Skouroupathis; A. Tsapalis

    2006-02-24

    We calculate the perturbative value of the Free Energy in Lattice QCD in three dimensions, up to three loops. Our calculation is performed using the Wilson formulation for gluons in SU(N) gauge theories. The Free Energy is directly related to the average plaquette. To carry out the calculation, we compute the coefficients involved in the perturbative expansion of the Free Energy up to three loops, using an automated set of procedures developed by us in Mathematica. The dependence on N is shown explicitly in our results. For purposes of comparison, we also present the individual contributions from every diagram. These have been obtained by means of two independent calculations, in order to cross check our results.

  6. What to Expect from Sectoral Trading: A U.S.–China Example

    E-Print Network [OSTI]

    Gavard, Claire

    In recent United Nations Framework Convention on Climate Change (UNFCCC) negotiations, sectoral mechanisms were proposed as a way to encourage early action and spur investment in low carbon technologies in developing ...

  7. Managing Expectations: the European Union and Human Security at the United Nations 

    E-Print Network [OSTI]

    Bouchard, Caroline

    2008-01-01

    This thesis explores the conditions under which the EU is an effective actor at the United Nations in the policy area of human security. Since the late 1990s, the United Nations has been increasingly active in addressing ...

  8. Cleanly -Trashducation Urban System Half the world's population is expected to live in urban

    E-Print Network [OSTI]

    present Cleanly, an urban trashducation system aimed at creating awareness of garbage production Rued Langgaards Vej 7, DK-2300, Denmark jdhr@itu.dk Katerina Poteriaykina University of Haifa to address it. The CHI com- munity has looked into related solutions to create awareness about the energy

  9. KUIPER BELT OBJECT OCCULTATIONS: EXPECTED RATES, FALSE POSITIVES, AND SURVEY DESIGN

    SciTech Connect (OSTI)

    Bickerton, S. J. [Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544 (United States); Welch, D. L. [Department of Physics and Astronomy, McMaster University, Hamilton, ON L8S 4M1 (Canada); Kavelaars, J. J. [Herzberg Institute of Astrophysics, Victoria, BC V9E 2E7 (Canada)], E-mail: bick@astro.princeton.edu, E-mail: welch@physics.mcmaster.ca, E-mail: JJ.Kavelaars@nrc-cnrc.gc.ca

    2009-05-15

    A novel method of generating artificial scintillation noise is developed and used to evaluate occultation rates and false positive rates for surveys probing the Kuiper Belt with the method of serendipitous stellar occultations. A thorough examination of survey design shows that (1) diffraction-dominated occultations are critically (Nyquist) sampled at a rate of 2 Fsu{sup -1}, corresponding to 40 s{sup -1} for objects at 40 AU, (2) occultation detection rates are maximized when targets are observed at solar opposition, (3) Main Belt asteroids will produce occultations light curves identical to those of Kuiper Belt Objects (KBOs) if target stars are observed at solar elongations of: 116{sup 0} {approx}< {epsilon} {approx}< 125 deg., or 131 deg. {approx}< {epsilon} {approx}< 141 deg., and (4) genuine KBO occultations are likely to be so rare that a detection threshold of {approx}>7-8{sigma} should be adopted to ensure that viable candidate events can be disentangled from false positives.

  10. WHY HASN'T EARTH WARMED AS MUCH AS EXPECTED? Stephen Schwartz, Brookhaven National Laboratory

    E-Print Network [OSTI]

    of future fossil fuel CO2 emissions that would be compatible with any chosen maximum allowable increase in GMST; even the sign of such allowable future emissions is unconstrained. Resolving this situation-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others

  11. Expected characteristics of the subclass of Supernova Gamma-ray Bursts (S-GRBs)

    E-Print Network [OSTI]

    J. S. Bloom; S. R. Kulkarni; F. Harrison; T. Prince; E. S. Phinney; D. A. Frail

    1998-07-05

    The spatial and temporal coincidence between the gamma-ray burst (GRB) 980425 and supernova (SN) 1998bw has prompted speculation that there exists a class of GRBs produced by SNe (``S-GRBs''). Robust arguments for the existence of a relativistic shock have been presented on the basis of radio observations. A physical model based on the radio observations lead us to propose the following characteristics of supernovae GRBs (S-GRBs): 1) prompt radio emission and implied brightness temperature near or below the inverse Compton limit, 2) high expansion velocity of the optical photosphere as derived from lines widths and energy release larger than usual, 3) no long-lived X-ray afterglow, and 4) a single pulse (SP) GRB profile. Radio studies of previous SNe show that only type Ib and Ic potentially satisfy the first condition. Accordingly we have investigated proposed associations of GRBs and SNe finding no convincing evidence (mainly to paucity of data) to confirm any single connection of a SN with a GRB. If there is a more constraining physical basis for the burst time-history of S-GRBs beyond that of the SP requirement, we suggest the 1% of light curves in the BATSE catalogue similar to that of GRB 980425 may constitute the subclass. Future optical follow-up of bursts with similar profiles should confirm if such GRBs originate from some fraction of SN type Ib/Ic.

  12. Care of the Expectant Mare Patrick McCue, DVM, PhD, Diplomate ACT

    E-Print Network [OSTI]

    (but not always) carry a foal for a similar time period during each pregnancy. Housing and Management protection via passive transfer of maternal antibodies in colostrum. The vaccine may be safely administered

  13. Sequence estimation in the presence of interference via the expectation-maximization algorithm 

    E-Print Network [OSTI]

    Zhang, Quan G

    1996-01-01

    performance in terms of bit error rate (BER) for single tone interference with both random phase and amplitude. We compare the algorithm with the suboptimal approach of using a digital transversal filter as a notch filter. Finally we present simulation results...

  14. On behalf of the university, thank you for supporting Great Expectations:The Campaign for Maryland.

    E-Print Network [OSTI]

    Zeng, Ning

    ): Signature (required): Make your gift online at www.giving.umd.edu. Matching Gift My / My spouse's company will match my gift. Company's Name: For more information on matching gifts, or to find out if your company to benefit University of Maryland. Knowing that members of the Maryland Family personally value the student

  15. Listener expectations and the perception of Scottish English/u/:a sociophonetic investigation 

    E-Print Network [OSTI]

    Barnes, Kristina

    2005-01-01

    A sociophonetic speech perception experiment was conducted using Edinburgh listeners. The participants listened to recorded speech followed by a synthesized /u/ vowel and were asked to decide whether the synthesized vowel ...

  16. yielded much less than expected, in-dicating that this area is sti ll recover-

    E-Print Network [OSTI]

    will be built in the Astilleros shipyard and 5 in H ijos and Barreras shi pyards. Deli very will start in 1975

  17. Evaluation of expected solar flare neutrino events in the IceCube observatory

    E-Print Network [OSTI]

    de Wasseige, G; Hanson, K; van Eijndhoven, N; Klein, K -L

    2015-01-01

    Since the end of the eighties and in response to a reported increase in the total neutrino flux in the Homestake experiment in coincidence with a solar flare, solar neutrino detectors have searched for solar flare signals. Neutrinos from the decay of mesons, which are themselves produced in collisions of accelerated protons with the solar atmosphere, would provide a novel window on the underlying physics of the acceleration process. For our studies we focus on the IceCube Neutrino Observatory, a cubic kilometer neutrino detector located at the geographical South Pole. Due to its Supernova data acquisition system and its DeepCore component, dedicated to low energy neutrinos, IceCube may be sensitive to solar flare neutrinos and thus permit either a measurement of the signal or the establishment of more stringent upper limits on the solar flare neutrino flux. We present an approach for a time profile analysis based on a stacking method and an evaluation of a possible solar flare signal in IceCube using the Gean...

  18. Cancer survivors and survivorship care: Provider expectations, post-treatment health services, and patient reported outcomes

    E-Print Network [OSTI]

    Hahn, Erin Elizabeth

    2013-01-01

    treatment and the impact of cancer-related infertility,treatment such as chronic fatigue, cardiomyopathy, second malignancies, chronic pain, menopausal symptoms, lymphedema, cognitive deficits, sexual dysfunction, and infertility.

  19. DNA Motif Detection Using Particle Swarm Optimization and Expectation-Maximization C. T. Hardin

    E-Print Network [OSTI]

    Rouchka, Eric

    a meaningful pattern of nucleotides or amino acids that is shared by two or more molecules, is an important. In the proposed algorithm, we use PSO to generate a seed for the EM algorithm. 1. INTRODUCTION Many amino acid (EM) uses information theory to identify conserved patterns of nucleotides or amino acids that may

  20. UnSec_Memo_ProjectManagementExpectationsFinancialAssistance_23June06.pdf |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-Sessions | Department ofVP of TransmissionIT ToolsDepartment of Energy

  1. ,"Louisiana--North Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUndergroundDry Natural GasGas, Wet AfterCrudeLiquids LeasePlant

  2. ,"Louisiana--South Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUndergroundDry Natural GasGas, WetLiquids Lease

  3. ,"Louisiana--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUndergroundDry Natural GasGas, WetLiquidsMarketed

  4. ,"Lower 48 States Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUndergroundDry Natural GasGas,Associated-Dissolved NaturalDry

  5. ,"Lower 48 States Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUndergroundDry Natural GasGas,Associated-DissolvedPlant

  6. ,"Michigan Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUndergroundDryAnnual",2014ConsumptionCoalbed Methane+Dry

  7. ,"Michigan Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA -Liquids Lease Condensate, Proved Reserves (Million Barrels)"Plant

  8. ,"Miscellaneous States Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA -Liquids Lease Condensate, ProvedShaleUnderground Natural Gas+Dry

  9. ,"Miscellaneous States Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA -Liquids Lease Condensate, ProvedShaleUnderground Natural

  10. ,"Mississippi Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA -Liquids Lease Condensate, ProvedShaleUndergroundCrude Oil + LeaseDry

  11. ,"Montana Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA -Liquids LeaseAnnual",2014Wellhead Price (DollarsCoalbed

  12. ,"Montana Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA -Liquids LeaseAnnual",2014Wellhead PriceConsumption byLiquids

  13. ,"New Mexico - East Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEAAnnual",2014Summary" ,"Click worksheet name or tabDry

  14. ,"New Mexico - West Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEAAnnual",2014Summary" ,"Click worksheetDry Natural Gas

  15. ,"New Mexico Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEAAnnual",2014Summary" ,"ClickCoalbed Methane Proved+Dry

  16. ,"New Mexico Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEAAnnual",2014Summary"Annual",2014 ,"ReleasePlant

  17. ,"New York Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 ©Annual",2014 ,"ReleaseLiquids Lease Condensate,Coalbed MethaneDry

  18. ,"North Dakota Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 ©Annual",2014Annual",2014 ,"ReleaseLNGCoalbed Methane Proved+Dry

  19. ,"North Dakota Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 ©Annual",2014Annual",2014Annual",2014 ,"ReleasePlant Liquids,

  20. ,"Ohio Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead Price (Dollars per Thousand Cubic Feet)" ,"ClickCoalbed

  1. ,"Oklahoma Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead Price (Dollars per Thousand CubicCoalbed Methane Proved Reserves

  2. ,"Oklahoma Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead Price (Dollars per Thousand CubicCoalbed Methane ProvedConsumption

  3. ,"Pennsylvania Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead Price (Dollars per ThousandAnnual",2014Coalbed Methane Proved

  4. ,"Texas Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"Coalbed MethaneDryDryDry NaturalCrude Oil +

  5. ,"Texas State Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"CoalbedGas, Wet After LeaseCrude Oil + LeaseDry

  6. ,"Texas--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"CoalbedGas, WetPlantPlantMarketed ProductionPlant

  7. ,"U.S. Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA -Annual",2014 ,"ReleaseAnnual",2014Annual",2014 ,"ReleaseLiquids,

  8. ,"Utah Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA -Annual",2014Proved Reserves, Wet AfterPetroleumU.S. Underground

  9. ,"Utah Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA -Annual",2014Proved Reserves, Wet AfterPetroleumU.S.and Production"Liquids

  10. ,"Utah and Wyoming Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA -Annual",2014Proved Reserves, WetGas, Wet After Lease Separation ProvedUndergroundand

  11. ,"Virginia Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA -Annual",2014Proved Reserves, WetGas, Wet After LeaseSummary"Coalbed MethaneDry

  12. ,"West Virginia Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA -Annual",2014Proved Reserves, WetGas, WetAnnual",2014Associated-Dissolved+Dry

  13. ,"West Virginia Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA -Annual",2014Proved Reserves, WetGas,Consumption by EndAnnual",2014LiquidsPlant

  14. ,"Wyoming Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA -Annual",2014Proved Reserves,Summary" ,"Click worksheet name or

  15. ,"Wyoming Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA -Annual",2014Proved Reserves,Summary" ,"Click worksheetLiquids LeasePlant

  16. ,"Arkansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008 ©Prices" ,"Click worksheet name or tabCoalbed

  17. ,"Arkansas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008 ©Prices" ,"ClickAnnual",2014Plant Liquids,

  18. ,"California Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008 ©Prices"Annual",2014CrudeCoalbedCrude Oil + LeaseDry

  19. ,"California Federal Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008 ©Prices"Annual",2014CrudeCoalbedCrude Oil +Crude Oil

  20. ,"California State Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG Storage Net WithdrawalsNonassociated Natural Gas, WetCrude

  1. ,"California--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG Storage Net WithdrawalsNonassociatedGrossPlant Liquids,

  2. ,"Colorado Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG Storage Net WithdrawalsNonassociatedGrossPlantCoalbed

  3. ,"Colorado Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG Storage NetConsumption by End Use"LNG Storage

  4. ,"Florida Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG StorageCoalbed Methane ProvedPlant Liquids,

  5. ,"Florida Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG StorageCoalbed Methane ProvedPlantandLiquids Lease

  6. ,"Kansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUnderground Natural Gas Storage - AllCoalbed Methane Proved+Dry

  7. ,"Kentucky Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUnderground Natural Gas StorageCoalbed Methane Proved

  8. ,"Louisiana - North Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUnderground NaturalAnnual",2014CoalbedDry Natural Gas

  9. ,"Louisiana State Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNGUndergroundDry Natural GasGas, Wet AfterCrude Oil + LeaseDry

  10. Federal Offshore--Louisiana and Alabama Natural Gas Plant Liquids, Expected

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWells (Million Cubic Feet)Condensate, ProvedFuture

  11. Gulf of Mexico Federal Offshore - Texas Dry Natural Gas Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWells (MillionProved% ofAlabamaNatural Gas,

  12. Lower 48 States Dry Natural Gas Expected Future Production (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential ConsumersProductionBarrels) Reserves in

  13. Assumptions and Expectations for Annual Energy Outlook 2014: Oil and Gas Working Group

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona - NaturalYear Jan FebProved3)/1

  14. Assumptions and Expectations for Annual Energy Outlook 2015: Oil and Gas Working Group

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona - NaturalYear Jan FebProved3)/1Assumptions

  15. Assumptions and Expectations for Annual Energy Outlook 2015: Oil and Gas Working Group

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona - NaturalYear Jan FebProved3)/1Assumptions5:

  16. California--Los Angeles Basin Onshore Natural Gas Plant Liquids, Expected

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 ArizonaResidential(Million Barrels)FutureFuture

  17. California--San Joaquin Basin Onshore Natural Gas Plant Liquids, Expected

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 ArizonaResidential(Million

  18. New Mexico - East Dry Natural Gas Expected Future Production (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2,2,435,2226 (nextNetper ThousandFeet) Dry Natural Gas

  19. New Mexico - West Dry Natural Gas Expected Future Production (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2,2,435,2226 (nextNetper ThousandFeet)Feet) Dry

  20. New Mexico--East Natural Gas Plant Liquids, Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2,2,435,2226Underground Storage(Million

  1. New Mexico--West Natural Gas Plant Liquids, Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2,2,435,2226UndergroundProduction (Billion(Million

  2. New York Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2,2,435,2226UndergroundProductionProvedCrude Oil

  3. Texas - RRC District 1 Dry Natural Gas Expected Future Production (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1Plant ProcessingProduction (Million(Million Barrels)Cubic

  4. Texas - RRC District 10 Dry Natural Gas Expected Future Production (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1Plant ProcessingProductionCubic Feet) Dry Natural Gas

  5. Texas - RRC District 2 Onshore Dry Natural Gas Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1Plant ProcessingProductionCubic Feet)

  6. Texas - RRC District 3 Onshore Dry Natural Gas Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1Plant ProcessingProductionCubic

  7. Texas - RRC District 4 Onshore Dry Natural Gas Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1Plant ProcessingProductionCubicProved Reserves(Billion Cubic

  8. Texas - RRC District 5 Dry Natural Gas Expected Future Production (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1Plant ProcessingProductionCubicProvedSeparation,Cubic

  9. Texas - RRC District 6 Dry Natural Gas Expected Future Production (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation, Proved Reserves (Billion Cubic

  10. Texas - RRC District 7B Dry Natural Gas Expected Future Production (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation, Proved Reserves (BillionSeparation,Cubic

  11. Texas - RRC District 7C Dry Natural Gas Expected Future Production (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation, Proved ReservesSeparation,

  12. Texas - RRC District 8 Dry Natural Gas Expected Future Production (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation, Proved(Million Barrels) Crude Oil +Cubic

  13. Texas - RRC District 8A Dry Natural Gas Expected Future Production (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation, Proved(Million Barrels)Cubic Feet)

  14. Texas - RRC District 9 Dry Natural Gas Expected Future Production (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation, Proved(Million(Million Barrels)

  15. Texas--RRC District 1 Natural Gas Plant Liquids, Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation,% of TotalOklahomaProved(Million(Million

  16. Texas--RRC District 10 Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation,% ofShale ProductionProduction (Million

  17. Texas--RRC District 2 Onshore Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation,% ofShaleCubic Feet)

  18. Texas--RRC District 3 Onshore Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation,% ofShaleCubicCubic Feet)Production

  19. Texas--RRC District 4 Onshore Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation,%

  20. Texas--RRC District 5 Natural Gas Plant Liquids, Expected Future Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation,%Production