Sample records for type census region

  1. Hanford Site Regional Population - 2010 Census

    SciTech Connect (OSTI)

    Hamilton, Erin L.; Snyder, Sandra F.

    2011-08-12T23:59:59.000Z

    The U.S. Department of Energy conducts radiological operations in south-central Washington State. Population dose estimates must be performed to provide a measure of the impact from site radiological releases. Results of the U.S. 2010 Census were used to determine counts and distributions for the residential population located within 50-miles of several operating areas of the Hanford Site. Year 2010 was the first census year that a 50-mile population of a Hanford Site operational area exceeded the half-million mark.

  2. 1999 Commercial Buildings Characteristics--Census Region

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels for Electric Utility Plants 1998

  3. Table A26. Components of Total Electricity Demand by Census Region, Census Di

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

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

  4. " by Type of Supplier, Census Region, Census Division, Industry Group,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy for613. Average

  5. Table A19. Components of Total Electricity Demand by Census Region and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia"18. Quantity

  6. Table A20. Components of Onsite Electricity Generation by Census Region and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia"18. QuantityComponents

  7. Table A26. Total Quantity of Purchased Energy Sources by Census Region and

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

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

  8. Table A28. Components of Onsite Electricity Generation by Census Region, Cens

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

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

  9. Table B3. Census Region, Number of Buildings and Floorspace, 1999

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

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

  10. U.S. Census Regions and Divisions Map for Commercial Buildings

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New England (PADD 1A) ConnecticutProduct:2009

  11. Table HC1-10a. Housing Unit Characteristics by Midwest Census Region,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by TypeWeekly

  12. Table HC1-11a. Housing Unit Characteristics by South Census Region,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by TypeWeekly1a.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by TypeWeekly1a.2a.

  14. Census Snapshot: Michigan

    E-Print Network [OSTI]

    Romero, Adam P; Baumle, Amanda; Badgett, M.V. Lee; Gates, Gary J

    2007-01-01T23:59:59.000Z

    INSTITUTE CENSUS SNAPSHOT | MICHIGAN | SEPTEMBER 2007INSTITUTE CENSUS SNAPSHOT | MICHIGAN | SEPTEMBER 2007 AboutMICHIGAN Adam P. Romero, Public Policy Fellow Amanda Baumle,

  15. Census Snapshot: Oklahoma

    E-Print Network [OSTI]

    Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

    2008-01-01T23:59:59.000Z

    WILLIAMS INSTITUTE CENSUS SNAPSHOT | OKLAHOMA | JANUARY 2008OKLAHOMA Adam P. Romero, Public Policy Fellow Clifford J.couples raising children in Oklahoma. We compare same-sex “

  16. "Table HC10.5 Space Heating Usage Indicators by U.S. Census...

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

    5 Space Heating Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Space Heating Usage...

  17. Census Snapshot: New Mexico

    E-Print Network [OSTI]

    Romero, Adam P.; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

    2008-01-01T23:59:59.000Z

    THE WILLIAMS INSTITUTE CENSUS SNAPSHOT NEW MEXICO APRIL 2008NEW MEXICO Adam P. Romero, Public Policy Fellow Clifford J.raising children in New Mexico. We compare same-sex “

  18. Census Snapshot: Puerto Rico

    E-Print Network [OSTI]

    Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

    2008-01-01T23:59:59.000Z

    WILLIAMS INSTITUTE CENSUS SNAPSHOT PUERTO RICO APRIL 2008PUERTO RICO Adam P. Romero, Public Policy Fellow Clifford J.in the Commonwealth of Puerto Rico. We compare same-sex “

  19. Oklahoma Census Snapshot: 2010

    E-Print Network [OSTI]

    Gates, Gary J.; Cooke, Abigail M.

    2011-01-01T23:59:59.000Z

    Oklahoma Census Snapshot: 2010 Same-sex couples per 1,000same-sex couples County Oklahoma Same-sex couples (adjusted)households (adjusted) Tulsa Oklahoma City Norman Shawnee

  20. The Census Taker's Hat

    E-Print Network [OSTI]

    Leonard Susskind

    2007-10-05T23:59:59.000Z

    If the observable universe really is a hologram, then of what sort? Is it rich enough to keep track of an eternally inflating multiverse? What physical and mathematical principles underlie it? Is the hologram a lower dimensional quantum field theory, and if so, how many dimensions are explicit, and how many "emerge?" Does the Holographic description provide clues for defining a probability measure on the Landscape? The purpose of this lecture is first, to briefly review a proposal for a holographic cosmology by Freivogel, Sekino, Susskind, and Yeh (FSSY), and then to develop a physical interpretation in terms of a "Cosmic Census Taker:" an idea introduced in reference [1]. The mathematical structure--a hybrid of the Wheeler DeWitt formalism and holography--is a boundary "Liouville" field theory, whose UV/IR duality is closely related to the time evolution of the Census Taker's observations. That time evolution is represented by the renormalization-group flow of the Liouville theory. Although quite general, the Census Taker idea was originally introduced in \\cite{shenker}, for the purpose of counting bubbles that collide with the Census Taker's bubble. The "Persistence of Memory" phenomenon discovered by Garriga, Guth, and Vilenkin, has a natural RG interpretation, as does slow roll inflation. The RG flow and the related C-theorem are closely connected with generalized entropy bounds.

  1. Interfacing US Census map files with statistical graphics software: Application and use in epidemiology

    SciTech Connect (OSTI)

    Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. (Lawrence Berkeley Lab., CA (United States) California Univ., Berkeley, CA (United States). School of Public Health)

    1993-03-01T23:59:59.000Z

    In 1990, the United States Bureau of the Census released detailed geographic map files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing). The TIGER files, accessible through purchase or Federal repository libraries, contain 24 billion characters of data describing various geographic features including coastlines, hydrography, transportation networks, political boundaries, etc. covering the entire United States. Many of these physical features are of potential interest in epidemiological case studies. Unfortunately, the TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. Recently, the S statistical software package has been extended to include a map display function. The map function augments S's high-level approach toward statistical analysis and graphical display of data. Coupling this statistical software with the map database developed for US Census data collection will facilitate epidemiological research. We discuss the technical background necessary to utilize the TIGER database for mapping with S. Two types of S maps, segment-based and polygon-based, are discussed along with methods to construct them from TIGER data. Polygon-based maps are useful for displaying regional statistical data; e.g., disease rates or incidence at the census tract level. Segment-based maps are easier to assemble and appropriate if the data are not regionalized. Census tract data of AIDS incidence in San Francisco (CA) and lung cancer case locations relative to petrochemical refinery sites in Contra Costa County (CA) are used to illustrate the methods and potential uses of interfacing the TIGER database with S.

  2. Formal Type Soundness for Cyclone's Region System Dan Grossman

    E-Print Network [OSTI]

    Hicks, Michael

    collector. To support separate compilation, Cyclone requires programmers to write some explicit regionFormal Type Soundness for Cyclone's Region System Dan Grossman Greg Morrisett Trevor Jim Mike Hicks Yanling Wang James Cheney November 2001 Abstract Cyclone is a polymorphic, type-safe programming language

  3. Harvesting Machine Census 1999 & 2001

    E-Print Network [OSTI]

    1 Harvesting Machine Census 1999 & 2001 231 Corstorphine Road Edinburgh EH12 7AT www.forestry.gov.uk FCTN001 SUMMARY This Technical Note contains information on the 1999 and 2001 harvesting machine censuses. As 31% fewer returns were received in 2001 a meaningful comparison of numbers cannot be made

  4. Interfacing US Census map files with statistical graphics software: Application and use in epidemiology. Revision 1

    SciTech Connect (OSTI)

    Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. [Lawrence Berkeley Lab., CA (United States)]|[California Univ., Berkeley, CA (United States). School of Public Health

    1993-03-01T23:59:59.000Z

    In 1990, the United States Bureau of the Census released detailed geographic map files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing). The TIGER files, accessible through purchase or Federal repository libraries, contain 24 billion characters of data describing various geographic features including coastlines, hydrography, transportation networks, political boundaries, etc. covering the entire United States. Many of these physical features are of potential interest in epidemiological case studies. Unfortunately, the TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. Recently, the S statistical software package has been extended to include a map display function. The map function augments S`s high-level approach toward statistical analysis and graphical display of data. Coupling this statistical software with the map database developed for US Census data collection will facilitate epidemiological research. We discuss the technical background necessary to utilize the TIGER database for mapping with S. Two types of S maps, segment-based and polygon-based, are discussed along with methods to construct them from TIGER data. Polygon-based maps are useful for displaying regional statistical data; e.g., disease rates or incidence at the census tract level. Segment-based maps are easier to assemble and appropriate if the data are not regionalized. Census tract data of AIDS incidence in San Francisco (CA) and lung cancer case locations relative to petrochemical refinery sites in Contra Costa County (CA) are used to illustrate the methods and potential uses of interfacing the TIGER database with S.

  5. FINDING INFORMATION FOR TORONTO IN THE CENSUS OF CANADA 1901

    E-Print Network [OSTI]

    Haykin, Simon

    1 FINDING INFORMATION FOR TORONTO IN THE CENSUS OF CANADA 1901 (NOMINAL CENSUS) Go to 1901TorontoCensusDistrict,Sub-Districtandmicrofilmreelnumber To find information for an individual in the Census of Canada 1901, you need to know: - the Census Directory first, to get the street address. #12;2 Go to the Library andArchives Canada website for Census

  6. Figure 1. Census Regions and Divisions

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name: Email: Terminal2,7,7,of2014FORMUS Federal

  7. Title: Census of Canada 2001: Census Tract Profile: Winnipeg, Manitoba Data Creator /

    E-Print Network [OSTI]

    Title: Census of Canada 2001: Census Tract Profile: Winnipeg, Manitoba Data Creator / Copyright Owner: Statistics Canada Publisher: Statistics Canada Edition: 2001 Versions: N/A Publication Date: 2003. Contact: Map and GIS Librarian (gislib@yorku.ca) Citation: Canada. Statistics Canada. "Census of Canada

  8. assisting type regional: Topics by E-print Network

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

    Assistant Job Type: ASU GRA Environmental Sciences and Ecology Websites Summary: , statistics, qualitative, and semi-qualitative research methodologies is desired. Excellent...

  9. Monadic Regions: Formal Type Soundness and Correctness Matthew Fluet

    E-Print Network [OSTI]

    Fluet, Matthew

    - agement [9, 6], it is not possible to manage particular data by one scheme or the other. Cyclone [12 garbage collection and a simple type system. A separate line of research has investigated mechanisms

  10. Circumnuclear Regions of Star Formation in Early Type Galaxies

    E-Print Network [OSTI]

    Diaz, Angeles I; Hagele, Guillermo F; Castellanos, Marcelo

    2008-01-01T23:59:59.000Z

    Circumnuclear star forming regions, also called hotspots, are often found in the inner regions of some spiral galaxies where intense processes of star formation are taking place. In the UV, massive stars dominate the observed circumnuclear emission even in the presence of an active nucleus, contributing between 30 and 50% to the H$\\beta$ total emission of the nuclear zone. Spectrophotometric data of moderate resolution (3000 < R < 11000) are presented from which the physical properties of the ionized gas: electron density, oxygen abundances, ionization structure etc. have been derived.

  11. Circumnuclear Regions of Star Formation in Early Type Galaxies

    E-Print Network [OSTI]

    Angeles I. Diaz; Elena Terlevich; Guillermo F. Hagele; Marcelo Castellanos

    2008-01-20T23:59:59.000Z

    Circumnuclear star forming regions, also called hotspots, are often found in the inner regions of some spiral galaxies where intense processes of star formation are taking place. In the UV, massive stars dominate the observed circumnuclear emission even in the presence of an active nucleus, contributing between 30 and 50% to the H$\\beta$ total emission of the nuclear zone. Spectrophotometric data of moderate resolution (3000 < R < 11000) are presented from which the physical properties of the ionized gas: electron density, oxygen abundances, ionization structure etc. have been derived.

  12. Impacts of Regional Electricity Prices and Building Type on the Economics of Commercial Photovoltaic Systems

    SciTech Connect (OSTI)

    Ong, S.; Campbell, C.; Clark, N.

    2012-12-01T23:59:59.000Z

    To identify the impacts of regional electricity prices and building type on the economics of solar photovoltaic (PV) systems, 207 rate structures across 77 locations and 16 commercial building types were evaluated. Results for expected solar value are reported for each location and building type. Aggregated results are also reported, showing general trends across various impact categories.

  13. " by Census Region, Census Division, Industry Group, Selected Industries, and"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996B2.CFMSQF2N3:Release(M)Total

  14. " by Census Region, Census Division, Industry Group, Selected Industries, and"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996B2.CFMSQF2N3:Release(M)TotalTotal

  15. " by Census Region, Census Division, Industry Group, Selected Industries, and"

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

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

  16. " Census Region, Census Division, Industry Group, and Selected Industries, 1994"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy for Heat,25

  17. " and Electricity Generation by Census Region, Census Division, Industry Group,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy for61

  18. " of Supplier, Census Region, Census Division, and Economic Characteristics"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy for613.

  19. " Electricity Generation by Census Region, Census Division, Industry Group, and"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number of833A6.

  20. Thermophotovoltaic energy conversion system having a heavily doped n-type region

    DOE Patents [OSTI]

    DePoy, David M. (Clifton Park, NY); Charache, Greg W. (Clifton Park, NY); Baldasaro, Paul F. (Clifton Park, NY)

    2000-01-01T23:59:59.000Z

    A thermophotovoltaic (TPV) energy conversion semiconductor device is provided which incorporates a heavily doped n-type region and which, as a consequence, has improved TPV conversion efficiency. The thermophotovoltaic energy conversion device includes an emitter layer having first and second opposed sides and a base layer in contact with the first side of the emitter layer. A highly doped n-type cap layer is formed on the second side of the emitter layer or, in another embodiment, a heavily doped n-type emitter layer takes the place of the cap layer.

  1. Numerical Simulation of Mesoscale Circulations in a Region of Contrasting Soil Types

    E-Print Network [OSTI]

    Raman, Sethu

    Numerical Simulation of Mesoscale Circulations in a Region of Contrasting Soil Types SETHU RAMAN,1 AARON SIMS,1,2 ROBB ELLIS,1 and RYAN BOYLES 1 Abstract--Mesoscale processes that form due to changes on mesoscale processes are examined. Climatological analyses indicate increased convective precipitation

  2. CREEL CENSUS AND EXPENDITURE STUDY, NORTH FORK SUN RIVER,

    E-Print Network [OSTI]

    CREEL CENSUS AND EXPENDITURE STUDY, NORTH FORK SUN RIVER, MONTANA, 1951 Marine Biological STUDY, NORTH FORK SUN RIVER, MONTANA, 1951 Marine Biological Laboratory JUN16 1954 WOODS HOLE, MASS MAP CREEL CENSUS SUN RIVER MONTANA DRAWN i*^ ^ TRACED- _2£jLt:l SUBMITTED . 1 V N 01 1 VN ei

  3. Course Enrollment by College -Census West Lafayette -Spring 2009

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Course Enrollment by College - Census West Lafayette - Spring 2009 Freeze Date: Jan 28, 2009 Enrollment by College - Census West Lafayette - Spring 2009 Freeze Date: Jan 28, 2009 College Enrollment 01 & Meat Mrkt 6 2 15 4 8 35 AGEC42200 Technical Price Anly 6 2 15 3 8 34 AGEC42600 Mkt Mgt Agr Bus 3 7 23 4

  4. Course Enrollment by College -Census West Lafayette -Spring 2011

    E-Print Network [OSTI]

    Ginzel, Matthew

    Course Enrollment by College - Census West Lafayette - Spring 2011 Freeze Date: Jan 25, 2011 Enrollment by College - Census West Lafayette - Spring 2011 Freeze Date: Jan 25, 2011 College Enrollment 01 & Meat Mrkt 1 4 13 6 17 41 AGEC42200 Technical Price Anly 1 3 10 4 16 34 AGEC42400 Finan Mgt Agr Bus 9 27

  5. Course Enrollment by College -Census West Lafayette -Spring 2010

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Course Enrollment by College - Census West Lafayette - Spring 2010 Freeze Date: Jan 26, 2010 by College - Census West Lafayette - Spring 2010 Freeze Date: Jan 26, 2010 College Enrollment 01 02 03 04 05 7 3 16 13 21 63 AGEC41200 Farm Business Mgmt 3 8 11 AGEC42100 Livestock & Meat Mrkt 1 1 3 15 7 15 42

  6. Forest Inventory and Analysis Research The Nation's Forest Census

    E-Print Network [OSTI]

    Forest Inventory and Analysis Research F I A The Nation's Forest Census The U.S. Forest Inventory Monitoring Symposium November 4, 2008 #12;Forest Inventory and Analysis Research F I A The Nation's Forest Census FIA Program Perspectives · Only comprehensive forest inventory for each of the 50 States, Puerto

  7. WATER DEUTERIUM FRACTIONATION IN THE INNER REGIONS OF TWO SOLAR-TYPE PROTOSTARS

    SciTech Connect (OSTI)

    Taquet, V.; Lopez-Sepulcre, A.; Ceccarelli, C.; Kahane, C. [UJF-Grenoble 1/CNRS-INSU, Institut de Planetologie et d'Astrophysique de Grenoble (IPAG) UMR 5274, Grenoble, F-38041 (France); Neri, R. [Institut de Radioastronomie Millimetrique (IRAM), 300 rue de la Piscine, F-38406 Saint Martin dHeres (France); Coutens, A.; Vastel, C. [Universite de Toulouse, UPS-OMP, IRAP, Toulouse (France)

    2013-05-10T23:59:59.000Z

    The [HDO]/[H{sub 2}O] ratio is a crucial parameter for probing the history of water formation. So far, it has been measured for only three solar-type protostars and yielded different results, possibly pointing to a substantially different history in their formation. In the present work, we report new interferometric observations of the HDO 4{sub 2,2}-4{sub 2,3} line for two solar-type protostars, IRAS2A and IRAS4A, located in the NGC 1333 region. In both sources, the detected HDO emission originates from a central compact unresolved region. A comparison with previously published interferometric observations of the H{sub 2}{sup 18}O 3{sub 1,3}-2{sub 2,0} line shows that the HDO and H{sub 2}O lines mostly come from the same region. A non-LTE large velocity gradient analysis of the HDO and H{sub 2}{sup 18}O line emissions, combined with published observations, provides an [HDO]/[H{sub 2}O] ratio of 0.3%-8% in IRAS2A and 0.5%-3% in IRAS4A. First, the water fractionation is lower than that of other molecules such as formaldehyde and methanol in the same sources. Second, it is similar to that measured in the solar-type protostar prototype, IRAS16293-2422, and, surprisingly enough, larger than that measured in NGC 1333 IRAS4B. The comparison of the measured values toward IRAS2A and IRAS4A with the predictions of our gas-grain model GRAINOBLE gives similar conclusions to those for IRAS 16293, arguing that these protostars share a similar chemical history, although they are located in different clouds.

  8. CENSUS OF BLUE STARS IN SDSS DR8

    SciTech Connect (OSTI)

    Scibelli, Samantha [Burnt Hills-Ballston Lake High School, 88 Lake Hill Road, Ballston, NY 12027 (United States); Newberg, Heidi Jo; Carlin, Jeffrey L. [Department of Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180 (United States); Yanny, Brian, E-mail: heidi@rpi.edu [Experimental Astrophysics Group, Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510 (United States)

    2015-01-01T23:59:59.000Z

    We present a census of the 12,060 spectra of blue objects ((g – r){sub 0} < –0.25) in the Sloan Digital Sky Survey (SDSS) Data Release 8 (DR8). As part of the data release, all of the spectra were cross-correlated with 48 template spectra of stars, galaxies, and QSOs to determine the best match. We compared the blue spectra by eye to the templates assigned in SDSS DR8. 10,856 of the objects matched their assigned template, 170 could not be classified due to low signal-to-noise ratio, and 1034 were given new classifications. We identify 7458 DA white dwarfs, 1145 DB white dwarfs, 273 rarer white dwarfs (including carbon, DZ, DQ, and magnetic), 294 subdwarf O stars, 648 subdwarf B stars, 679 blue horizontal branch stars, 1026 blue stragglers, 13 cataclysmic variables, 129 white dwarf-M dwarf binaries, 36 objects with spectra similar to DO white dwarfs, 179, quasi-stellar objects (QSOs), and 10 galaxies. We provide two tables of these objects, sample spectra that match the templates, figures showing all of the spectra that were grouped by eye, and diagnostic plots that show the positions, colors, apparent magnitudes, proper motions, etc., for each classification. Future surveys will be able to use templates similar to stars in each of the classes we identify to automatically classify blue stars, including rare types.

  9. Properties of the ionized gas of circumnuclear star-forming regions in early type spirals

    E-Print Network [OSTI]

    Diaz, Angeles I; Terlevich, Elena; Terlevich, Roberto

    2008-01-01T23:59:59.000Z

    (Abbr.) A study of cicumnuclear star-forming regions (CNSFRs) in several early type spirals has been made in order to investigate their main properties: stellar and gas kinematics, dynamical masses, ionising stellar masses, chemical abundances and other properties of the ionised gas. Both high resolution (R$ \\sim $20000) and moderate resolution (R ~ 5000) have been used. In some cases these regions, about 100 to 150 pc in size, are seen to be composed of several individual star clusters with sizes between 1.5 and 4.9 pc estimated from Hubble Space Telescope (HST) images. Stellar and gas velocity dispersions are found to differ by about 20 to 30 km/s with the H$\\beta$ emission lines being narrower than both the stellar lines and the [OIII] $\\lambda$ 5007 \\AA lines. The twice ionized oxygen, on the other hand, shows velocity dispersions comparable to those shown by stars. We have applied the virial theorem to estimate dynamical masses of the clusters, assuming that systems are gravitationally bounded and spheri...

  10. Properties of the ionized gas of circumnuclear star-forming regions in early type spirals

    E-Print Network [OSTI]

    Angeles I. Diaz; Guillermo F. Hagele; Elena Terlevich; Roberto Terlevich

    2008-01-20T23:59:59.000Z

    (Abbr.) A study of cicumnuclear star-forming regions (CNSFRs) in several early type spirals has been made in order to investigate their main properties: stellar and gas kinematics, dynamical masses, ionising stellar masses, chemical abundances and other properties of the ionised gas. Both high resolution (R$ \\sim $20000) and moderate resolution (R ~ 5000) have been used. In some cases these regions, about 100 to 150 pc in size, are seen to be composed of several individual star clusters with sizes between 1.5 and 4.9 pc estimated from Hubble Space Telescope (HST) images. Stellar and gas velocity dispersions are found to differ by about 20 to 30 km/s with the H$\\beta$ emission lines being narrower than both the stellar lines and the [OIII] $\\lambda$ 5007 \\AA lines. The twice ionized oxygen, on the other hand, shows velocity dispersions comparable to those shown by stars. We have applied the virial theorem to estimate dynamical masses of the clusters, assuming that systems are gravitationally bounded and spherically symmetric, and using previously measured sizes. The measured values of the stellar velocity dispersions yield dynamical masses of the order of 10$^7$ to 10$^8$ solar masses for the whole CNSFRs. ...

  11. Kinematics of gas and stars in circumnuclear star-forming regions of early type spirals

    E-Print Network [OSTI]

    Hagele, Guillermo F; Cardaci, Monica V; Terlevich, Elena; Terlevich, Roberto

    2008-01-01T23:59:59.000Z

    (Abbr.) We present high resolution (R~20000) spectra in the blue and the far red of cicumnuclear star-forming regions (CNSFRs) in three early type spirals (NGC3351, NGC2903 and NGC3310) which have allowed the study of the kinematics of stars and ionized gas in these structures and, for the first time, the derivation of their dynamical masses for the first two. In some cases these regions, about 100 to 150 pc in size, are seen to be composed of several individual star clusters with sizes between 1.5 and 4.9 pc estimated from Hubble Space Telescope (HST) images. The stellar dispersions have been obtained from the Calcium triplet (CaT) lines at $\\lambda\\lambda$ 8494,8542,8662 \\AA, while the gas velocity dispersions have been measured by Gaussian fits to the H$\\beta$ and [OIII] $\\lambda\\lambda$ 5007 \\AA lines on the high dispersion spectra. Values of the stellar velocity dispersions are between 30 and 68 km/s. We apply the virial theorem to estimate dynamical masses of the clusters, assuming that systems are grav...

  12. Kinematics of gas and stars in circumnuclear star-forming regions of early type spirals

    E-Print Network [OSTI]

    Guillermo F. Hagele; Angeles I. Diaz; Monica V. Cardaci; Elena Terlevich; Roberto Terlevich

    2008-01-20T23:59:59.000Z

    (Abbr.) We present high resolution (R~20000) spectra in the blue and the far red of cicumnuclear star-forming regions (CNSFRs) in three early type spirals (NGC3351, NGC2903 and NGC3310) which have allowed the study of the kinematics of stars and ionized gas in these structures and, for the first time, the derivation of their dynamical masses for the first two. In some cases these regions, about 100 to 150 pc in size, are seen to be composed of several individual star clusters with sizes between 1.5 and 4.9 pc estimated from Hubble Space Telescope (HST) images. The stellar dispersions have been obtained from the Calcium triplet (CaT) lines at $\\lambda\\lambda$ 8494,8542,8662 \\AA, while the gas velocity dispersions have been measured by Gaussian fits to the H$\\beta$ and [OIII] $\\lambda\\lambda$ 5007 \\AA lines on the high dispersion spectra. Values of the stellar velocity dispersions are between 30 and 68 km/s. We apply the virial theorem to estimate dynamical masses of the clusters, assuming that systems are gravitationally bounded and spherically symmetric, and using previously measured sizes. The measured values of the stellar velocity dispersions yield dynamical masses of the order of 10$^7$ to 10$^8$ solar masses for the whole CNSFRs. Stellar and gas velocity dispersions are found to differ by about 20 to 30 km/s with the H$\\beta$ emission lines being narrower than both the stellar lines and the [OIII] $\\lambda\\lambda$ 5007 \\AA lines. The twice ionized oxygen, on the other hand, shows velocity dispersions comparable to those shown by stars, in some cases, even larger. We have found indications of the presence of two different kinematical components in the ionized gas of the regions...

  13. HIGH-VELOCITY LINE FORMING REGIONS IN THE TYPE Ia SUPERNOVA 2009ig

    SciTech Connect (OSTI)

    Marion, G. H.; Foley, Ryan J.; Challis, Peter; Kirshner, Robert P. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Vinko, Jozsef; Wheeler, J. Craig; Silverman, Jeffrey M. [University of Texas at Austin, 1 University Station C1400, Austin, TX 78712-0259 (United States); Hsiao, Eric Y. [Carnegie Observatories, Las Campanas Observatory, Colina El Pino, Casilla 601 (Chile); Brown, Peter J. [George P. and Cynthia Woods Mitchell Institute for Fundamental Physics and Astronomy, Department of Physics and Astronomy, Texas A and M University, 4242 AMU, College Station, TX 77843 (United States); Filippenko, Alexei V. [Department of Astronomy, University of California, Berkeley, CA 94720-3411 (United States); Garnavich, Peter [Department of Physics, University of Notre Dame, 225 Nieuwland Science Hall, Notre Dame, IN 46556 (United States); Landsman, Wayne B. [Adnet Systems, NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Parrent, Jerod T. [Las Cumbres Observatory Global Telescope Network, Goleta, CA 93117 (United States); Pritchard, Tyler A.; Roming, Peter W. A. [Department of Astronomy and Astrophysics, Penn State University, 525 Davey Lab, University Park, PA 16802 (United States); Wang, Xiaofeng, E-mail: gmarion@cfa.harvard.edu [Physics Department and Tsinghua Center for Astrophysics (THCA), Tsinghua University, Beijing 1,00084 (China)

    2013-11-01T23:59:59.000Z

    We report measurements and analysis of high-velocity (HVF) (>20,000 km s{sup –1}) and photospheric absorption features in a series of spectra of the Type Ia supernova (SN) 2009ig obtained between –14 days and +13 days with respect to the time of maximum B-band luminosity (B-max). We identify lines of Si II, Si III, S II, Ca II, and Fe II that produce both HVF and photospheric-velocity (PVF) absorption features. SN 2009ig is unusual for the large number of lines with detectable HVF in the spectra, but the light-curve parameters correspond to a slightly overluminous but unexceptional SN Ia (M{sub B} = –19.46 mag and ?m{sub 15}(B) = 0.90 mag). Similarly, the Si II ?6355 velocity at the time of B-max is greater than 'normal' for an SN Ia, but it is not extreme (v{sub Si} = 13,400 km s{sup –1}). The –14 days and –13 days spectra clearly resolve HVF from Si II ?6355 as separate absorptions from a detached line forming region. At these very early phases, detached HVF are prevalent in all lines. From –12 days to –6 days, HVF and PVF are detected simultaneously, and the two line forming regions maintain a constant separation of about 8000 km s{sup –1}. After –6 days all absorption features are PVF. The observations of SN 2009ig provide a complete picture of the transition from HVF to PVF. Most SNe Ia show evidence for HVF from multiple lines in spectra obtained before –10 days, and we compare the spectra of SN 2009ig to observations of other SNe. We show that each of the unusual line profiles for Si II ?6355 found in early-time spectra of SNe Ia correlate to a specific phase in a common development sequence from HVF to PVF.

  14. Census: Location-Aware Membership Management for Large-Scale Distributed Systems

    E-Print Network [OSTI]

    Cowling, James Alexander

    We present Census, a platform for building large-scale distributed applications. Census provides a membership service and a multicast mechanism. The membership service provides every node with a consistent view of the ...

  15. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    Engineering NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR NUTR-Nutrition Science OBHR OBHR-Orgnztnl Bhvr-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Computer & Info Tech COM #12;Section Enrollment Report (CENSUS) - Table of Contents Subject Description NUCL NUCL-Nuclear

  16. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR NUTR-Nutrition Science OBHR OBHR-Orgnztnl Bhvr &Hum-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Computer & Info Tech COM Report (CENSUS) - Table of Contents Subject Description NS NS-Naval Science NUCL NUCL-Nuclear Engineering

  17. "Table A25. Components of Total Electricity Demand by Census Region, Census Division, Industry"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6.

  18. "Table A33. Total Quantity of Purchased Energy Sources by Census Region, Census Division,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30.2"Quantity

  19. SNR 0104-72.3: A REMNANT OF A TYPE Ia SUPERNOVA IN A STAR-FORMING REGION?

    SciTech Connect (OSTI)

    Lee, Jae-Joon [Korea Astronomy and Space Science Institute, Daejeon 305-348 (Korea, Republic of); Park, Sangwook [Department of Physics, University of Texas at Arlington, Arlington, TX 76019 (United States); Hughes, John P. [Department of Physics and Astronomy, Rutgers University, 136 Frelinghuysen Road, Piscataway, NJ 08854-8019 (United States); Slane, Patrick O. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Burrows, David N., E-mail: leejjoon@kasi.re.kr [Astronomy and Astrophysics Department, Pennsylvania State University, University Park, PA 16802 (United States)

    2011-04-10T23:59:59.000Z

    We report our 110 ks Chandra observations of the supernova remnant (SNR) 0104-72.3 in the Small Magellanic Cloud (SMC). The X-ray morphology shows two prominent lobes along the northwest-southeast direction and a soft faint arc in the east. Previous low-resolution X-ray images attributed the unresolved emission from the southeastern lobe to a Be/X-ray star. Our high-resolution Chandra data clearly show that this emission is diffuse, shock-heated plasma, with negligible X-ray emission from the Be star. The eastern arc is positionally coincident with a filament seen in optical and infrared observations. Its X-ray spectrum is well fit by plasma of normal SMC abundances, suggesting that it is from shocked ambient gas. The X-ray spectra of the lobes show overabundant Fe, which is interpreted as emission from the reverse-shocked Fe-rich ejecta. The overall spectral characteristics of the lobes and the arc are similar to those of Type Ia SNRs, and we propose that SNR 0104-72.3 is the first case for a robust candidate Type Ia SNR in the SMC. On the other hand, the remnant appears to be interacting with dense clouds toward the east and to be associated with a nearby star-forming region. These features are unusual for a standard Type Ia SNR. Our results suggest an intriguing possibility that the progenitor of SNR 0104-72.3 might have been a white dwarf of a relatively young population.

  20. A GSC Global Genome Census (GSC8 Meeting)

    ScienceCinema (OSTI)

    Kyrpides, Nikos [DOE JGI

    2011-04-29T23:59:59.000Z

    The Genomic Standards Consortium was formed in September 2005. It is an international, open-membership working body which promotes standardization in the description of genomes and the exchange and integration of genomic data. The 2009 meeting was an activity of a five-year funding "Research Coordination Network" from the National Science Foundation and was organized held at the DOE Joint Genome Institute with organizational support provided by the JGI and by the University of California - San Diego. Nikos Kyrpides of the DOE Joint Genome Institute discusses the notion of a global genome census at the Genomic Standards Consortium's 8th meeting at the DOE JGI in Walnut Creek, Calif. on Sept. 9, 2009.

  1. 1992 National census for district heating, cooling and cogeneration

    SciTech Connect (OSTI)

    Not Available

    1993-07-01T23:59:59.000Z

    District energy systems are a major part of the energy use and delivery infrastructure of the United States. With nearly 6,000 operating systems currently in place, district energy represents approximately 800 billion BTU per hour of installed thermal production capacity, and provides over 1.1 quadrillion BTU of energy annually -- about 1.3% of all energy used in the US each year. Delivered through more that 20,000 miles of pipe, this energy is used to heat and cool almost 12 billion square feet of enclosed space in buildings that serve a diverse range of office, education, health care, military, industrial and residential needs. This Census is intended to provide a better understanding of the character and extent of district heating, cooling and cogeneration in the United States. It defines a district energy system as: Any system that provides thermal energy (steam, hot water, or chilled water) for space heating, space cooling, or process uses from a central plant, and that distributes the energy to two or more buildings through a network of pipes. If electricity is produced, the system is a cogenerating facility. The Census was conducted through surveys administered to the memberships of eleven national associations and agencies that collectively represent the great majority of the nation`s district energy system operators. Responses received from these surveys account for about 11% of all district systems in the United States. Data in this report is organized and presented within six user sectors selected to illustrate the significance of district energy in institutional, community and utility settings. Projections estimate the full extent of district energy systems in each sector.

  2. Sampling with Synthesis: A New Approach for Releasing Public Use Census Microdata

    E-Print Network [OSTI]

    Reiter, Jerome P.

    project; sampling fractions range from .07% in India to 10% in South American countries (https the world deposit samples from censuses with the Integrated Public Use Microdata Series international

  3. Solar Census - Perfecting the Art of Automated, Remote Solar Shading Assessments (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-04-01T23:59:59.000Z

    To validate the work completed by Solar Census as part of the Department of Energy SunShot Incubator 8 award, NREL validated the performanec of the Solar Census Surveyor tool against the industry standard Solmetric SunEye measurements for 4 residential sites in California who experienced light to heavy shading. Using the a two one-sided test (TOST) of statistical equivalence, NREL found that the mean differences between the Solar Census and SunEye mean solar access values for Annual, Summer, and Winter readings fall within the 95% confidence intervals and the confidence intervals themselves fall within the tolerances of +/- 5 SAVs, the Solar Census calculations are statistically equivalent to the SunEye measurements.

  4. Census taking in the hat: FRW/CFT duality

    SciTech Connect (OSTI)

    Sekino, Yasuhiro [Department of Physics, Stanford University, Stanford, California 94305-4060 (United States); Okayama Institute for Quantum Physics, 1-9-1 Kyoyama, Okayama 700-0015 (Japan); Susskind, Leonard [Department of Physics, Stanford University, Stanford, California 94305-4060 (United States)

    2009-10-15T23:59:59.000Z

    In this paper a holographic description of eternal inflation is developed. We focus on the description of an open Friedmann-Robertson-Walker (FRW) universe that results from a tunneling event in which a false vacuum with positive vacuum energy decays to a supersymmetric vacuum with vanishing cosmological constant. The observations of a 'census taker' in the final vacuum can be organized into a holographic dual conformal field theory that lives on the asymptotic boundary of space. We refer to this bulk-boundary correspondence as FRW/CFT duality. The dual conformal field theory (CFT) is a Euclidean two-dimensional theory that includes a Liouville 2D gravity sector describing geometric fluctuations of the boundary. The renormalization-group flow of the theory is richer than in the AdS/CFT correspondence, and generates two space-time dimensions--one spacelike and one timelike. We discuss a number of phenomena such as bubble collisions, and the Garriga, Guth Vilenkin 'persistence of memory', from the dual viewpoint.

  5. Interfacing 1990 US Census TIGER map files with New S graphics software

    SciTech Connect (OSTI)

    Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. [Lawrence Berkeley Lab., CA (United States)]|[California Univ., Berkeley, CA (United States). School of Public Health

    1992-07-01T23:59:59.000Z

    In 1990, the United States Bureau of the Census released detailed geographic base files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing) which contain detail on the physical features and census tract boundaries of every county in the United States. The TIGER database is attractive for two reasons. First, it is publicly available through the Bureau of the Census on tape or cd-rom for a minimal fee. Second, it contains 24 billion characters of data which describe geographic features of interest to the Census Bureau such as coastlines, hydrography, transportation networks, political boundaries, etc. Unfortunately, the large TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. On the other hand New S, a popular statistical software package by AT&T, has easily operated functions that permit advanced graphics in conjunction with data analysis. New S has the ability to plot contours, lines, segments, and points. However, of special interest is the New S function map and its options. Using the map function, which requires polygons as input, census tracts can be quickly selected, plotted, shaded, etc. New S graphics combined with the TIGER database has obvious potential. This paper reports on our efforts to use the TIGER map files with New S, especially to construct census tract maps of counties. While census tract boundaries are inherently polygonal, they are not organized as such in the TIGER database. This conversion of the TIGER ``line`` format into New S ``polygon/polyline`` format is one facet of the work reported here. Also we discuss the selection and extraction of auxiliary geographic information from TIGER files for graphical display using New S.

  6. "Table HC12.13 Lighting Usage Indicators by Midwest Census Region...

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

    Central","West North Central" "Total U.S. Housing Units",111.1,25.6,17.7,7.9 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  7. "Table HC14.13 Lighting Usage Indicators by West Census Region...

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

    icators",,,"Mountain","Pacific" "Total U.S. Housing Units",111.1,24.2,7.6,16.6 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  8. "Table HC13.13 Lighting Usage Indicators by South Census Region...

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

    South Central" "Total U.S. Housing Units",111.1,40.7,21.7,6.9,12.1 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  9. "Table HC10.13 Lighting Usage Indicators by U.S. Census Region...

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

    ,"Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  10. Table 2: U.S. Geographic Areas and Census Regions | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,ZaleskiThis Decision considersTable 1: Points of Entry/Exit andTable 2:

  11. Table HC1-10a. Housing Unit Characteristics by Midwest Census Region,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14: Total U.S.0a.

  12. Table HC1-11a. Housing Unit Characteristics by South Census Region,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14: Total U.S.0a.1a.

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

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

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

  14. Table HC1-9a. Housing Unit Characteristics by Northeast Census Region,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14:9a. Housing Unit

  15. Table HC11.1 Housing Unit Characteristics by Northeast Census Region, 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14:9a.

  16. " Generation by Census Region, Industry Group, Selected Industries, Presence of"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1.S4.1.4 Number46814324.

  17. " Electricity Generation by Census Region, Industry Group, and Selected"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1.S4.1.45.1" "

  18. " Electricity Generation by Census Region, Industry Group, and Selected"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1.S4.1.45.1"

  19. "Table A16. Components of Total Electricity Demand by Census Region, Industry"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6. Components of

  20. "Table A17. Components of Onsite Electricity Generation by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6. Components

  1. "Table A22. Total Quantity of Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6. Components.2.

  2. "Table A24. Total Expenditures for Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6.

  3. "Table A27. Components of Onsite Electricity Generation by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6.Components of

  4. "Table A28. Total Expenditures for Purchased Energy Sources by Census Region"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6.Components

  5. "Table A32. Total Quantity of Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30.2"Quantity of

  6. "Table A36. Total Expenditures for Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30.2"Quantity6.

  7. "Table A37. Total Expenditures for Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30.2"Quantity6.7.

  8. "Table A42. Average Prices of Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal"1" " (Estimates in1"

  9. "Table A42. Average Prices of Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal"1" " (Estimates

  10. Table HC1-9a. Housing Unit Characteristics by Northeast Census Region,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a. Housing8a.9a.

  11. Table HC11.1 Housing Unit Characteristics by Northeast Census Region, 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a. Housing8a.9a.1.1

  12. "Table HC11.1 Housing Unit Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air780.9

  13. "Table HC11.11 Home Electronics Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436

  14. "Table HC11.13 Lighting Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home3

  15. "Table HC11.2 Living Space Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home32

  16. "Table HC11.4 Space Heating Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home324

  17. "Table HC11.6 Air Conditioning Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362

  18. "Table HC11.8 Water Heating Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436278 Water

  19. "Table HC11.9 Home Appliances Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436278

  20. "Table HC12.1 Housing Unit Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436278

  1. "Table HC12.11 Home Electronics Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780 Home1

  2. "Table HC12.13 Lighting Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43627803

  3. "Table HC12.2 Living Space Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436278032

  4. "Table HC12.4 Space Heating Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780324

  5. "Table HC12.6 Air Conditioning Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436278032456

  6. "Table HC12.8 Water Heating Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space

  7. "Table HC12.9 Home Appliances Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances

  8. "Table HC13.1 Housing Unit Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing Unit

  9. "Table HC13.11 Home Electronics Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing1

  10. "Table HC13.13 Lighting Usage Indicators by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing13

  11. "Table HC13.2 Living Space Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing132

  12. "Table HC13.4 Space Heating Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing1324

  13. "Table HC13.6 Air Conditioning Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances

  14. "Table HC13.8 Water Heating Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78 Water

  15. "Table HC13.9 Home Appliances Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78 Water3.9

  16. "Table HC14.1 Housing Unit Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78 Water3.9

  17. "Table HC14.11 Home Electronics Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78 Water3.901

  18. "Table HC14.13 Lighting Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783 Lighting

  19. "Table HC14.2 Living Space Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783 Lighting2

  20. "Table HC14.4 Space Heating Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783

  1. "Table HC14.6 Air Conditioning Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Space6

  2. "Table HC14.8 Water Heating Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Space678

  3. "Table HC14.9 Home Appliances Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835

  4. Housing Archetype Analysis for Home Energy-Efficient Retrofit in the Great Lakes Region

    SciTech Connect (OSTI)

    Kim, S. K.; Mrozowski, T.; Harrell-Seyburn, A.; Ehrlich, N.; Hembroff, L.; Bieburn, B.; Mazor, M.; McIntyre, A.; Mutton, C.; Parsons, G.; Syal, M. G.; Wilkinson, R.

    2014-09-01T23:59:59.000Z

    This project report details activities and results of the 'Market Characterization' project undertaken by the Cost Effective Energy Retrofit (CEER) team targeted toward the DOE goal of achieving 30%-50% reduction in existing building energy use. CEER consists of members from the Dow Chemical Company, Michigan State University, Ferris State University and Habitat for Humanity Kent County. The purpose of this market characterization project was to identify housing archetypes which are dominant within Great Lakes region and therefore offer significant potential for energy-efficient retrofit research and implementation due to the substantial number of homes possessing similar characteristics. Understanding the characteristics of housing groups referred to as 'archetypes' by vintage, style, and construction characteristics can allow research teams to focus their retrofit research and develop prescriptive solutions for those structure types which are prevalent and offer high potential uptake within a region or market. Key research activities included; literature review, statistical analysis of national and regional data of the American Housing Survey (AHS) collected by the U.S. Census Bureau, analysis of Michigan specific data, development of a housing taxonomy of architectural styles, case studies of two local markets (i.e., Ann Arbor and Grand Rapids in Michigan) and development of a suggested framework (or process) for characterizing local markets. In order to gain a high level perspective, national and regional data from the U.S. Census Bureau was analyzed using cross tabulations, multiple regression models, and logistic regression to characterize the housing stock and determine dominant house types using 21 variables.

  5. Identification of a 450-bp region of human papillomavirus type 1 that promotes episomal replication in Saccharomyces cerevisiae

    SciTech Connect (OSTI)

    Chattopadhyay, Anasuya [Department of Molecular Genetics and Biochemistry, University of Pittsburgh School of Medicine, Room East 1240 Biomedical Science Tower, Pittsburgh, PA 15261 (United States); Schmidt, Martin C. [Department of Molecular Genetics and Biochemistry, University of Pittsburgh School of Medicine, Room East 1240 Biomedical Science Tower, Pittsburgh, PA 15261 (United States); Khan, Saleem A. [Department of Molecular Genetics and Biochemistry, University of Pittsburgh School of Medicine, Room East 1240 Biomedical Science Tower, Pittsburgh, PA 15261 (United States)]. E-mail: khan@pitt.edu

    2005-09-15T23:59:59.000Z

    Human papillomaviruses (HPVs) replicate as nuclear plasmids in infected cells. Since the DNA replication machinery is generally conserved between humans and Saccharomyces cerevisiae, we studied whether HPV-1 DNA can replicate in yeast. Plasmids containing a selectable marker (with or without a yeast centromere) and either the full-length HPV-1 genome or various regions of the viral long control region (LCR) and the 3' end of the L1 gene were introduced into S. cerevisiae and their ability to replicate episomally was investigated. Our results show that HPV-1 sequences promote episomal replication of plasmids although the yeast centromere is required for plasmid retention. We have mapped the autonomously replicating sequence activity of HPV-1 DNA to a 450 base-pair sequence (HPV-1 nt 6783-7232) that includes 293 nucleotides from the 5' region of the viral LCR and 157 nucleotides from the 3' end of the L1 gene. The HPV-1 ARS does not include the binding sites for the viral E1 and E2 proteins, and these proteins are dispensable for replication in S. cerevisiae.

  6. 2012 Census of Agriculture Underway Respond Now For many farmers across the nation, this is the time of year to finish paperwork after a busy

    E-Print Network [OSTI]

    Watson, Craig A.

    2012 Census of Agriculture Underway ­ Respond Now For many farmers across the nation. This makes it a perfect time to also fill out and return your 2012 Census of Agriculture form. The Census of Agriculture is sent to all farmers and ranchers only once every five years by USDA's National Agricultural

  7. GaInN light-emitting diodes using separate epitaxial growth for the p-type region to attain polarization-inverted electron-blocking layer, reduced electron leakage, and improved hole injection

    SciTech Connect (OSTI)

    Meyaard, David S., E-mail: meyaad@rpi.edu; Lin, Guan-Bo; Ma, Ming; Fred Schubert, E. [Future Chips Constellation, Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180 (United States)] [Future Chips Constellation, Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180 (United States); Cho, Jaehee [Future Chips Constellation, Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180 (United States) [Future Chips Constellation, Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180 (United States); Semiconductor Physics Research Center, School of Semiconductor and Chemical Engineering, Chonbuk National University, Jeonju 561-756 (Korea, Republic of); Han, Sang-Heon; Kim, Min-Ho; Shim, HyunWook; Sun Kim, Young [LED Business, Samsung Electronics, Yongin 446-920 (Korea, Republic of)] [LED Business, Samsung Electronics, Yongin 446-920 (Korea, Republic of)

    2013-11-11T23:59:59.000Z

    A GaInN light-emitting diode (LED) structure is analyzed that employs a separate epitaxial growth for the p-type region, i.e., the AlGaN electron-blocking layer (EBL) and p-type GaN cladding layer, followed by wafer or chip bonding. Such LED structure has a polarization-inverted EBL and allows for uncompromised epitaxial-growth optimization of the p-type region, i.e., without the need to consider degradation of the quantum-well active region during p-type region growth. Simulations show that such an LED structure reduces electron leakage, reduces the efficiency droop, improves hole injection, and has the potential to extend high efficiencies into the green spectral region.

  8. AVOCADO: A Virtual Observatory Census to Address Dwarfs Origins

    E-Print Network [OSTI]

    Sánchez-Janssen, Rubén

    2011-01-01T23:59:59.000Z

    Dwarf galaxies are by far the most abundant of all galaxy types, yet their properties are still poorly understood -especially due to the observational challenge that their intrinsic faintness represents. AVOCADO aims at establishing firm conclusions on their formation and evolution by constructing a homogeneous, multiwavelength dataset for a statistically significant sample of several thousand nearby dwarfs (-18 < Mi < -14). Using public data and Virtual Observatory tools, we have built GALEX+SDSS+2MASS spectral energy distributions that are fitted by a library of single stellar population models. Star formation rates, stellar masses, ages and metallicities are further complemented with structural parameters that can be used to classify them morphologically. This unique dataset, coupled with a detailed characterization of each dwar's environment, allows for a fully comprehensive investigation of their origins and to track the (potential) evolutionary paths between the different dwarf types.

  9. TOWARD A SPECTROSCOPIC CENSUS OF WHITE DWARFS WITHIN 40 pc OF THE SUN

    SciTech Connect (OSTI)

    Limoges, M.-M.; Bergeron, P. [Departement de Physique, Universite de Montreal, C.P. 6128, Succ. Centre-Ville, Montreal, Quebec H3C 3J7 (Canada); Lepine, S., E-mail: limoges@astro.umontreal.ca, E-mail: bergeron@astro.umontreal.ca, E-mail: lepine@amnh.org [Department of Astrophysics, Division of Physical Sciences, American Museum of Natural History, Central Park West at 79th Street, New York, NY 1002 (United States)

    2013-05-15T23:59:59.000Z

    We present the preliminary results of a survey aimed at significantly increasing the range and completeness of the local census of spectroscopically confirmed white dwarfs. The current census of nearby white dwarfs is reasonably complete only to about 20 pc of the Sun, a volume that includes around 130 white dwarfs, a sample too small for detailed statistical analyses. This census is largely based on follow-up investigations of stars with very large proper motions. We describe here the basis of a method that will lead to a catalog of white dwarfs within 40 pc of the Sun and north of the celestial equator, thus increasing by a factor of eight the extent of the northern sky census. White dwarf candidates are identified from the SUPERBLINK proper motion database, allowing us to investigate stars down to a proper motion limit {mu} > 40 mas yr{sup -1}, while minimizing the kinematic bias for nearby objects. The selection criteria and distance estimates are based on a combination of color-magnitude and reduced proper motion diagrams. Our follow-up spectroscopic observation campaign has so far uncovered 193 new white dwarfs, among which we identify 127 DA (including 9 DA+dM and 4 magnetic), 1 DB, 56 DC, 3 DQ, and 6 DZ stars. We perform a spectroscopic analysis on a subsample of 84 DAs, and provide their atmospheric parameters. In particular, we identify 11 new white dwarfs with spectroscopic distances within 25 pc of the Sun, including five candidates to the D < 20 pc subset.

  10. Interfacing 1990 US Census TIGER map files with New S graphics software. [Topologically Integrated Geographic Encoding and Referencing (TIGER)

    SciTech Connect (OSTI)

    Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. (Lawrence Berkeley Lab., CA (United States) California Univ., Berkeley, CA (United States). School of Public Health)

    1992-07-01T23:59:59.000Z

    In 1990, the United States Bureau of the Census released detailed geographic base files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing) which contain detail on the physical features and census tract boundaries of every county in the United States. The TIGER database is attractive for two reasons. First, it is publicly available through the Bureau of the Census on tape or cd-rom for a minimal fee. Second, it contains 24 billion characters of data which describe geographic features of interest to the Census Bureau such as coastlines, hydrography, transportation networks, political boundaries, etc. Unfortunately, the large TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. On the other hand New S, a popular statistical software package by AT T, has easily operated functions that permit advanced graphics in conjunction with data analysis. New S has the ability to plot contours, lines, segments, and points. However, of special interest is the New S function map and its options. Using the map function, which requires polygons as input, census tracts can be quickly selected, plotted, shaded, etc. New S graphics combined with the TIGER database has obvious potential. This paper reports on our efforts to use the TIGER map files with New S, especially to construct census tract maps of counties. While census tract boundaries are inherently polygonal, they are not organized as such in the TIGER database. This conversion of the TIGER line'' format into New S polygon/polyline'' format is one facet of the work reported here. Also we discuss the selection and extraction of auxiliary geographic information from TIGER files for graphical display using New S.

  11. A CENSUS OF LONG STAY PATIENTS IN GOVERNMENT MENTAL HOSPITALS IN INDIA

    E-Print Network [OSTI]

    M. Venkataswamy Reddy

    A single day census found that long-stay patients (LSP) numbering 7,307 accounted for about 48 % of the total inpatient strength of 15,345 in government mental hospitals in India. A load of 2695 (37%) LSP were in two to five years duration of stay, 2782 (38%) were in five to fifteen years duration of stay, and the remaining 1830 (25%) were staying for more than fifteen years. About 11 % of LSP were aged sixty years and above, majority (53%) were males, non-voluntary cases constituted 80%. and more than two-thirds (69%) were schizophrenics. The characteristics distributions associated with high rates of LSP at individual hospitals were identified. The load of LSP was decreased by 9 % during the period from 1993 to 1999. Key words: Census, long-stay patients, government mental hospitals, national indicators Sufficient data on long-stay patients (LSP) in government mental hospitals were lacking in India, though certain informations about some individual hospitals or a small group of hospitals have been reported (Sathyavathi and

  12. JOURNAL OF GEOPHYSICAL RESEARCH: OCEANS, VOL. 118, 17591 , doi:10.1002/jgrc.20155, 2013 A three-dimensional eddy census of a high-resolution global

    E-Print Network [OSTI]

    Hamann, Bernd

    JOURNAL OF GEOPHYSICAL RESEARCH: OCEANS, VOL. 118, 1759­1 , doi:10.1002/jgrc.20155, 2013 A three-dimensional eddy census of a high-resolution global ocean simulation Mark R. Petersen,1 Sean J. Williams,1,2 Mathew from a global ocean simulation with one-tenth degree resolution and a duration of 7 years. The census

  13. "Table A3. Total Primary Consumption of Combustible Energy for Nonfuel Purposes by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30.2" "Nonfuel

  14. "Table A41. Average Prices of Selected Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal"1" " (Estimates in Dollars

  15. "Table A41. Average Prices of Selected Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal"1" " (Estimates in

  16. "Table HC10.1 Housing Unit Characteristics by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4 Cooled0.1

  17. "Table HC10.10 Home Appliances Usage Indicators by U.S. Census Regions, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4 Cooled0.10

  18. "Table HC10.11 Home Electronics Characteristics by U.S. Census Regions, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4 Cooled0.101

  19. "Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4

  20. "Table HC10.13 Lighting Usage Indicators by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43 Lighting

  1. "Table HC10.2 Living Space Characteristics by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43 Lighting2

  2. "Table HC10.4 Space Heating Characteristics by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43 Lighting24

  3. "Table HC10.5 Space Heating Usage Indicators by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43

  4. "Table HC10.6 Air Conditioning Characteristics by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air

  5. "Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air7

  6. "Table HC10.8 Water Heating Characteristics by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air78

  7. "Table HC10.9 Home Appliances Characteristics by U.S. Census Regions, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air780.9

  8. "Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air780.90

  9. "Table HC11.12 Home Electronics Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home

  10. "Table HC11.5 Space Heating Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home3245

  11. "Table HC11.7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43627

  12. "Table HC12.10 Home Appliances Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780 Home

  13. "Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780

  14. "Table HC12.5 Space Heating Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43627803245

  15. "Table HC12.7 Air-Conditioning Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780324567

  16. "Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing

  17. "Table HC13.5 Space Heating Usage Indicators by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing13245

  18. "Table HC13.7 Air-Conditioning Usage Indicators by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7

  19. "Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78 Water3.90

  20. "Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78

  1. "Table HC14.5 Space Heating Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Space

  2. "Table HC14.7 Air-Conditioning Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Space67

  3. Fabrication and Evaluation of a Multilayer Laminar-Type Holographic Grating and Its Application to a High Efficiency Grazing Incidence Monochromator for the 1-8 keV Region

    SciTech Connect (OSTI)

    Koike, Masato; Ishino, Masahiko; Imazono, Takashi [Japan Atomic Energy Agency, 8-1 Umemidai, Kizu, Kyoto 619-0215 (Japan); Heimann, Phil A.; Gullikson, Eric H. [Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720 (United States); Takenaka, Hisataka; Hatayama, Masatoshi [NTT Advanced Technology Corp., 2-1-1, Nishi-shinjuku, Shinjuku-ku, Tokyo, 163-0431 (Japan); Sasai, Hiroyuki [Shimadzu Corp., 1 Nishinokyo-Kuwabaramachi, Nakagyo-ku, Kyoto, 614-0051 (Japan); Sano, Kazuo [Shimadzu Emit Co., Ltd., 2-5-23, Kitahama, Chuo-ku, Osaka 541-0041 (Japan)

    2007-01-19T23:59:59.000Z

    A W/C multilayer laminar-type holographic grating was fabricated and its diffraction efficiency was evaluated in the 1-8 keV region. Taking advantage of its high diffraction efficiency a monochromator equipped with a multilayer varied-line-spacing plane grating was designed. The throughput of the monochromator based on the experimental diffraction efficiency of the multilayer grating and resolving power were calculated in comparison with those of a monochromator equipped with a Au coated grating.

  4. A Census of the Carina Nebula. I: Cumulative Energy Input from Massive Stars

    E-Print Network [OSTI]

    Nathan Smith

    2006-01-04T23:59:59.000Z

    (abridged) The Carina Nebula (NGC 3372) is our richest nearby laboratory in which to study feedback through UV radiation and stellar winds from very massive stars during the formation of an OB association before supernova explosions have influenced the environment. This paper takes inventory of the combined effect from all the known massive stars that power the Carina Nebula. The present-day total ionizing photon luminosity produced by the 65 O stars and 3 WNL stars in Carina is about 1e51/s, the total bolometric luminosity of all stars earlier than B2 is 2.5e7 Lsun, and the total mechanical luminosity of stellar winds is about 1e5 Lsun. The total ionizing flux was about 25 per cent higher when eta Car was on the main sequence, before it and its companion were surrounded by its obscuring dust shell, and when the 3 WNL stars were on the main sequence. For the first 3 Myr, the net ionizing flux of the 70 O-type stars in Carina was about 150 times greater than in the Orion Nebula. About 400-500 Msun has been contributed to the region by stellar wind mass loss during the past 3 Myr. The net ionizing flux and mechanical luminosity are also given for the individual clusters Tr14, 15, and 16, and Bo10 and 11, which are relevant on smaller spatial scales.

  5. AN INFRARED CENSUS OF DUST IN NEARBY GALAXIES WITH SPITZER (DUSTINGS). I. OVERVIEW

    SciTech Connect (OSTI)

    Boyer, Martha L.; Sonneborn, George [Observational Cosmology Laboratory, Code 665, NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); McQuinn, Kristen B. W.; Gehrz, Robert D.; Skillman, Evan [Minnesota Institute for Astrophysics, School of Physics and Astronomy, 116 Church Street SE, University of Minnesota, Minneapolis, MN 55455 (United States); Barmby, Pauline [Department of Physics and Astronomy, University of Western Ontario, London, ON, N6A 3K7 (Canada); Bonanos, Alceste Z. [IAASARS, National Observatory of Athens, GR-15236 Penteli (Greece); Gordon, Karl D.; Meixner, Margaret [STScI, 3700 San Martin Drive, Baltimore, MD 21218 (United States); Groenewegen, M. A. T. [Royal Observatory of Belgium, Ringlaan 3, B-1180 Brussels (Belgium); Lagadec, Eric [Laboratoire Lagrange, UMR7293, Univ. Nice Sophia-Antipolis, CNRS, Observatoire de la Côte d'Azur, F-06300 Nice (France); Lennon, Daniel [ESA—European Space Astronomy Centre, Apdo. de Correo 78, E-28691 Villanueva de la Cañada, Madrid (Spain); Marengo, Massimo [Department of Physics and Astronomy, Iowa State University, Ames, IA 50011 (United States); Sloan, G. C. [Astronomy Department, Cornell University, Ithaca, NY 14853-6801 (United States); Van Loon, Jacco Th. [Astrophysics Group, Lennard-Jones Laboratories, Keele University, Staffordshire ST5 5BG (United Kingdom); Zijlstra, Albert, E-mail: martha.boyer@nasa.gov [Jodrell Bank Centre for Astrophysics, Alan Turing Building, University of Manchester, Manchester M13 9PL (United Kingdom)

    2015-01-01T23:59:59.000Z

    Nearby resolved dwarf galaxies provide excellent opportunities for studying the dust-producing late stages of stellar evolution over a wide range of metallicity (–2.7 ? [Fe/H] ? –1.0). Here, we describe DUSTiNGS (DUST in Nearby Galaxies with Spitzer): a 3.6 and 4.5 ?m post-cryogen Spitzer Space Telescope imaging survey of 50 dwarf galaxies within 1.5 Mpc that is designed to identify dust-producing asymptotic giant branch (AGB) stars and massive stars. The survey includes 37 dwarf spheroidal, 8 dwarf irregular, and 5 transition-type galaxies. This near-complete sample allows for the building of statistics on these rare phases of stellar evolution over the full metallicity range. The photometry is >75% complete at the tip of the red giant branch for all targeted galaxies, with the exception of the crowded inner regions of IC 10, NGC 185, and NGC 147. This photometric depth ensures that the majority of the dust-producing stars, including the thermally pulsing AGB stars, are detected in each galaxy. The images map each galaxy to at least twice the half-light radius to ensure that the entire evolved star population is included and to facilitate the statistical subtraction of background and foreground contamination, which is severe at these wavelengths. In this overview, we describe the survey, the data products, and preliminary results. We show evidence for the presence of dust-producing AGB stars in eight of the targeted galaxies, with metallicities as low as [Fe/H] = –1.9, suggesting that dust production occurs even at low metallicity.

  6. A census of precipitation features in the tropics using TRMM: radar, ice scattering, and lightning observations

    E-Print Network [OSTI]

    Nesbitt, Stephen William

    1999-01-01T23:59:59.000Z

    and two ocean regions during August, September and October 1998, this study used radar retrievals and 85 GHz Polarization Corrected Temperatures (PCTs, which passively measure relative concentrations of precipitation-sized ice particles within a cloud...

  7. Consumer Attitudes About Renewable Energy: Trends and Regional Differences

    SciTech Connect (OSTI)

    Natural Marketing Institute, Harleysville, Pennsylvania

    2011-04-01T23:59:59.000Z

    The data in this report are taken from Natural Marketing Institute's (NMI's) Lifestyles of Health and Sustainability Consumer Trends Database. Created in 2002, the syndicated consumer database contains responses from 2,000 to 4,000 nationally representative U.S. adults (meaning the demographics of the sample are consistent with U.S. Census findings) each year. NMI used the database to analyze consumer attitudes and behavior related to renewable energy and to update previously conducted related research. Specifically, this report will explore consumer awareness, concerns, perceived benefits, knowledge of purchase options, and usage of renewable energy as well as provide regional comparisons and trends over time.

  8. Health Data Available at the Chicago Census RDC Confidential (restricted-use) versions of NCHS and AHRQ data are available to qualified

    E-Print Network [OSTI]

    Illinois at Chicago, University of

    : · Examining how the provisions of care through health care safely nets affect health outcomes for children1 Health Data Available at the Chicago Census RDC Confidential (restricted-use) versions of NCHS RDC) located at the Federal Reserve Bank of Chicago.1 Confidential versions of health data include

  9. JOURNAL OF GEOPHYSICAL RESEARCH, VOL. ???, XXXX, DOI:10.1029/, A three-dimensional eddy census of a high-resolution1

    E-Print Network [OSTI]

    California at Davis, University of

    of a high-resolution1 global ocean simulation2 Mark R. Petersen, 1 Sean J. Williams, 1,2 Mathew E. Maltrud census data set was obtained from3 a global ocean simulation with one-tenth degree resolution are at least 1000m tall, and many penetrate the14 full depth of the water column. The Antarctic Circumpolar

  10. "Table HC12.7 Air-Conditioning Usage Indicators by Midwest Census...

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

    "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,17.3,11.3,6 "Without a Heat Pump",53.5,16.2,10.6,5.6 "With a Heat Pump",12.3,1.1,0.8,0.4 "WindowWall...

  11. Relativistic ejecta from XRF 060218 and the complete census of cosmic explosions

    E-Print Network [OSTI]

    Soderberg, A M; Burrows, D N; Cameron, P B; Cenko, S B; Chevalier, R A; Fox, D B; Frail, D A; Gal-Yam, A; Gehrels, N; Kasliwal, M; Kulkarni, S R; McCarthy, P J; Moon, D S; Nakar, E; Nousek, J A; Penprase, B E; Perrson, S E; Piran, T; Pooley, G; Price, P A; Sari, R; Schmidt, B P

    2006-01-01T23:59:59.000Z

    Over the last decade, long-duration gamma-ray bursts (GRBs) and X-ray flashes (XRFs) have been revealed to be a rare variety of Type Ibc supernova (SN). While all these events result from the death of massive stars, the electromagnetic luminosities of GRBs and XRFs exceed those of ordinary Type Ibc SNe by many orders of magnitude. The essential physical process that causes a dying star to produce a GRB or XRF, and not just an SN, remains the crucial open question. Here we present radio and X-ray observations of XRF 060218 (associated with SN 2006aj), the second nearest GRB identified to-date, which allow us to measure its total energy and place it in the larger context of cosmic explosions. We show that this event is 100 times less energetic but ten times more common than cosmological GRBs. Moreover, it is distinguished from ordinary Type Ibc SNe by the presence of 10^48 erg of mildly-relativistic ejecta, along with a central engine which produces X-rays for weeks after the explosion. This suggests that the p...

  12. Table A1. Total Primary Consumption of Energy for All Purposes by Census

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia"1 "

  13. Table A1. Total Primary Consumption of Energy for All Purposes by Census

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia"1 "2" "

  14. Table A9. Total Primary Consumption of Energy for All Purposes by Census

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2" "Total8.7.A9.

  15. Rutgers Regional Report # Regional Report

    E-Print Network [OSTI]

    Garfunkel, Eric

    , population, income, and building permits over a 32-year period from 1969 to 2001 for the 31-county Tri counties of the Tri-State (Connecticut, New Jersey, and New York) Region have been divided for analytical the nation and the Tri-State Region. What has not been fully documented, however, is the apparent shift

  16. A complete census of silicate features in the mid-infrared spectra of active galaxies

    E-Print Network [OSTI]

    Hatziminaoglou, Evanthia; Feltre, Anna; Piñol-Ferrer, Nuria

    2015-01-01T23:59:59.000Z

    We present a comprehensive study of the silicate features at 9.7 and 18 micron of a sample of almost 800 active galactic nuclei (AGN) with available spectra from the Spitzer InfraRed Spectrograph (IRS). We measure the strength of the silicate feature at 9.7 micron, S9.7, before and after subtracting the host galaxy emission from the IRS spectra. The numbers of type 1 and 2 AGN with the feature in emission increase by 20 and 50%, respectively, once the host galaxy is removed, while 35% of objects with the feature originally in absorption exhibit it in even deeper absorption. The peak of S9.7, lambda_peak, has a bimodal distribution when the feature is in emission, with about 65% of the cases showing lambda_peak > 10.2 micron. Silicates can appear in emission in objects with mid-infrared (MIR) luminosity spanning over six orders of magnitude. The derived distributions of the strength of the silicate features at 9.7 and 18 micron provide a solid test bed for modeling the dust distribution in AGN. Clumpiness is n...

  17. Implementing and Evaluating Multithreaded Triad Census Algorithms on the Cray XMT

    SciTech Connect (OSTI)

    Chin, George; Marquez, Andres; Choudhury, Sutanay; Maschhoff, Kristyn

    2009-05-29T23:59:59.000Z

    Commonly represented as directed graphs, social networks depict relationships and behaviors among social entities such as people, groups, and organizations. Social network analysis denotes a class of mathematical and statistical methods designed to study and measure social networks. Beyond sociolo-gy, social network analysis methods are being applied to other types of data in other domains such as bioinformatics, computer networks, national security, and economics. For particular problems, the size of a social network can grow to millions of nodes and tens of millions of edges or more. In such cases, researchers could benefit from the application of social network analysis algorithms on high-performance architectures and systems. The Cray XMT is a third generation multithreaded system based on the Cray XT-3/4 platform. Like most other multithreaded architectures, the Cray XMT is designed to tolerate memory access latencies by switching context between threads. The processors maintain multiple threads of execution and util-ize hardware-based context switching to overlap the memory latency incurred by any thread with the computations from other threads. Due to its memory latency tolerance, the Cray XMT has the poten-tial of significantly improving the execution speed of irregular data-intensive applications such as those found in social network analysis. In this paper, we describe our experiences in developing and optimizing three implementations of a social network analysis method known as triadic analysis to execute on the Cray XMT. The three im-plementations possess different execution complexities, qualities, and characteristics. We evaluate how the various attributes of the codes affect their performance on the Cray XMT. We also explore the effects of different compiler options and execution strategies on the different triadic analysis im-plementations and identify general XMT programming issues and lessons learned.

  18. Fig. S1. Cell trajectory straightness by region. (A) Mean track straightness from four wild-type embryos. (B) Mean straightness from three notum1a over-expressing embryos. (C) Mean straightness from three SU5402-treated embryos. In wild-type embryos, the

    E-Print Network [OSTI]

    Emonet, Thierry

    three SU5402-treated embryos. In wild-type embryos, the DM has the straightest tracks. The straightness of three SU5402-treated embryos. In wild-type embryos, the DM and PZ exhibit the highest track mean speeds. S3. Cell flow map of wild type, notum1a over-expressing embryos and SU5402-treated embryos. (A

  19. Census Snapshot: Oklahoma

    E-Print Network [OSTI]

    Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

    2008-01-01T23:59:59.000Z

    McClain McCurtain McIntosh Major Marshall County Mayes Murray Muskogee Noble Nowata Okfuskee Oklahoma

  20. Census Snapshot: West Virginia

    E-Print Network [OSTI]

    Romero, Adam P.; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

    2008-01-01T23:59:59.000Z

    WEST VIRGINIA Adam P. Romero, Public Policy Fellow Cliffordraising children in West Virginia. We compare same-sex “sex married couples in West Virginia. 1 JANUARY 2008 In many

  1. Oklahoma Census Snapshot: 2010

    E-Print Network [OSTI]

    Gates, Gary J.; Cooke, Abigail M.

    2011-01-01T23:59:59.000Z

    same-sex couples (adjusted) Tulsa Sequoyah Cleveland Loganhouseholds (adjusted) Tulsa Oklahoma City Norman Shawnee

  2. Trench process and structure for backside contact solar cells with polysilicon doped regions

    DOE Patents [OSTI]

    De Ceuster, Denis; Cousins, Peter John; Smith, David D

    2013-05-28T23:59:59.000Z

    A solar cell includes polysilicon P-type and N-type doped regions on a backside of a substrate, such as a silicon wafer. An interrupted trench structure separates the P-type doped region from the N-type doped region in some locations but allows the P-type doped region and the N-type doped region to touch in other locations. Each of the P-type and N-type doped regions may be formed over a thin dielectric layer. Among other advantages, the resulting solar cell structure allows for increased efficiency while having a relatively low reverse breakdown voltage.

  3. Trench process and structure for backside contact solar cells with polysilicon doped regions

    DOE Patents [OSTI]

    De Ceuster, Denis; Cousins, Peter John; Smith, David D

    2014-03-18T23:59:59.000Z

    A solar cell includes polysilicon P-type and N-type doped regions on a backside of a substrate, such as a silicon wafer. An interrupted trench structure separates the P-type doped region from the N-type doped region in some locations but allows the P-type doped region and the N-type doped region to touch in other locations. Each of the P-type and N-type doped regions may be formed over a thin dielectric layer. Among other advantages, the resulting solar cell structure allows for increased efficiency while having a relatively low reverse breakdown voltage.

  4. Trench process and structure for backside contact solar cells with polysilicon doped regions

    DOE Patents [OSTI]

    De Ceuster, Denis (Woodside, CA); Cousins, Peter John (Menlo Park, CA); Smith, David D. (Campbell, CA)

    2010-12-14T23:59:59.000Z

    A solar cell includes polysilicon P-type and N-type doped regions on a backside of a substrate, such as a silicon wafer. An interrupted trench structure separates the P-type doped region from the N-type doped region in some locations but allows the P-type doped region and the N-type doped region to touch in other locations. Each of the P-type and N-type doped regions may be formed over a thin dielectric layer. Among other advantages, the resulting solar cell structure allows for increased efficiency while having a relatively low reverse breakdown voltage.

  5. Award Types

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

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

  6. Regional Summary Pacific Region Management Context

    E-Print Network [OSTI]

    , for the Eastern Pacific Ocean, and the Western and Central Pacific Fishery Commission, for the Western PacificRegional Summary Pacific Region Management Context The Pacific Region includes California, Oregon, and Washington. Federal fisheries in this region are managed by the Pacific Fishery Management Council (PFMC

  7. HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM

    E-Print Network [OSTI]

    HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM IN PENNSYLVANIA HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM date ­ November 23, 2004 · Contract end date ­ March 31, 2006 #12;Hydrogen Regional Infrastructure Program in Pennsylvania Hydrogen Regional Infrastructure Program in Pennsylvania · Objectives ­ Capture

  8. U.S. Regional Demand Forecasts Using NEMS and GIS

    SciTech Connect (OSTI)

    Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

    2005-07-01T23:59:59.000Z

    The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

  9. Country Scotland Type Single malt

    E-Print Network [OSTI]

    Izzard, Rob

    Country Scotland Type Single malt Distillery Aberfeldy Region Highlands Age 12 years ABV 40% Cask, the perfume characteristics become more spicy, with a bitter hint of Seville oranges in a decidedly dry finish. Drying citrus/oak with a gentle spiciness, held in a warm embrace of cigar smoke, and a little vanilla

  10. Country Scotland Type Single malt

    E-Print Network [OSTI]

    Izzard, Rob

    Country Scotland Type Single malt Distillery Jura Region Island Name Prophecy ABV 46 Cask French airport Notes Limited annual release: 10,000 bottles only. Nose Some peat, aniseed, oily, dry, pungent, dried hay, and anise round things out. Palate Smoky and dry, a muscular, powerful Jura with notes

  11. An X-ray Census of Young Stars in the Massive Southern Star-Forming Complex NGC 6357

    E-Print Network [OSTI]

    Wang, J; Feigelson, E D; Getman, K V; Broos, P S; Garmire, G P; Tsujimoto, M; Wang, Junfeng; Townsley, Leisa K.; Feigelson, Eric D.; Getman, Konstantin V.; Broos, Patrick S.; Garmire, Gordon P.; Tsujimoto, Masahiro

    2006-01-01T23:59:59.000Z

    We present the first high spatial resolution X-ray study of the massive star forming region NGC 6357, obtained in a 38 ks Chandra/ACIS observation. Inside the brightest constituent of this large HII region complex is the massive open cluster Pismis 24. It contains two of the brightest and bluest stars known, yet remains poorly studied; only a handful of optically bright stellar members have been identified. We investigate the cluster extent and Initial Mass Function and detect ~800 X-ray sources with a limiting sensitivity of 10^{30} ergs s^{-1}; this provides the first reliable probe of the rich intermediate-mass and low-mass population of this massive cluster, increasing the number of known members from optical study by a factor of ~50. The high luminosity end (log L_h[2-8 keV]\\ge 30.3 ergs s^{-1}) of the observed X-ray luminosity function in NGC 6357 is clearly consistent with a power law relation as seen in the Orion Nebula Cluster and Cepheus B, yielding the first estimate of NGC 6357's total cluster pop...

  12. acute regional ischemia: Topics by E-print Network

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

    include: airports, fire stations, forests, historic development, municipal offices, police stations, post secondary institutions Data Type 385 Cruise Report 2002 Regional...

  13. An X-ray Census of Young Stars in the Massive Southern Star-Forming Complex NGC 6357

    E-Print Network [OSTI]

    Junfeng Wang; Leisa K. Townsley; Eric D. Feigelson; Konstantin V. Getman; Patrick S. Broos; Gordon P. Garmire; Masahiro Tsujimoto

    2006-09-11T23:59:59.000Z

    We present the first high spatial resolution X-ray study of the massive star forming region NGC 6357, obtained in a 38 ks Chandra/ACIS observation. Inside the brightest constituent of this large HII region complex is the massive open cluster Pismis 24. It contains two of the brightest and bluest stars known, yet remains poorly studied; only a handful of optically bright stellar members have been identified. We investigate the cluster extent and Initial Mass Function and detect ~800 X-ray sources with a limiting sensitivity of 10^{30} ergs s^{-1}; this provides the first reliable probe of the rich intermediate-mass and low-mass population of this massive cluster, increasing the number of known members from optical study by a factor of ~50. The high luminosity end (log L_h[2-8 keV]\\ge 30.3 ergs s^{-1}) of the observed X-ray luminosity function in NGC 6357 is clearly consistent with a power law relation as seen in the Orion Nebula Cluster and Cepheus B, yielding the first estimate of NGC 6357's total cluster population, a few times the known Orion population. We investigate the structure of the cluster, finding small-scale substructures superposed on a spherical cluster with 6 pc extent, and discuss its relationship to the nebular morphology. The long-standing Lx - 10^{-7}L_{bol} correlation for O stars is confirmed. Twenty-four candidate O stars and one possible new obscured massive YSO or Wolf-Rayet star are presented. Many cluster members are estimated to be intermediate-mass stars from available infrared photometry (assuming an age of 1 Myr), but only a few exhibit K-band excess. We report the first detection of X-ray emission from an Evaporating Gaseous Globule at the tip of a molecular pillar; this source is likely a B0-B2 protostar.

  14. Northwest Regional Technology Center

    E-Print Network [OSTI]

    Northwest Regional Technology Center for Homeland Security The Northwest Regional Technology Center and deployment of technologies that are effective homeland security solutions for the region, and accelerate technology transfer to the national user community. Foster a collaborative spirit across agencies

  15. A Virtual Observatory Census to Address Dwarfs Origins. AVOCADO - I. Science goals, sample selection and analysis tools

    E-Print Network [OSTI]

    Sánchez-Janssen, R; García-Vargas, M; Gomes, J M; Huertas-Company, M; Jiménez-Esteban, F; Mollá, M; Papaderos, P; Pérez-Montero, E; Rodrigo, C; Almeida, J Sánchez; Solano, E

    2013-01-01T23:59:59.000Z

    (Abridged) AVOCADO aims at establishing firm conclusions on the formation and evolution of dwarf galaxies by constructing and analysing a homogeneous, multiwavelength dataset for a statistically significant sample of approximately 6500 nearby dwarfs (M_i > -18 mag). We present the sample selection criteria and describe the suite of analysis tools, some of them developed in the framework of the Virtual Observatory. We make use of optical spectra and UV-to-NIR imaging of the dwarf sample to derive SFRs, stellar masses, ages and metallicities - which are further supplemented with structural parameters that are used to classify them morphologically. This dataset, coupled with a detailed characterisation of each dwarf's environment, allows for a fully comprehensive investigation of their origins and to track the potential evolutionary paths between the different dwarf types. We characterise the local environment of all dwarfs in our sample, paying special attention to trends with current star formation activity. W...

  16. The metallicity of circumnuclear star forming regions

    E-Print Network [OSTI]

    A. I. Diaz; E. Terlevich; M. Castellanos; G. F. Hagele

    2006-10-26T23:59:59.000Z

    We present a spectrophotometric study of circumnuclear star forming regions (CNSFR) in the early type spiral galaxies: NGC 2903, NGC 3351 and NGC 3504, all of them of over solar metallicity according to standard empirical calibrations. A detailed determination of their abundances is made after careful subtraction of the very prominent underlying stellar absorption. It is found that most regions show the highest abundances in HII region-like objects. The relative N/O and S/O abundances are discussed. In is also shown that CNSFR, as a class, segregate from the disk HII region family, clustering around smaller ``softness parameter" -- \\eta' -- values, and therefore higher ionizing temperatures.

  17. The metallicity of circumnuclear star forming regions

    E-Print Network [OSTI]

    Díaz, A I; Castellanos, M; Hägele, G F

    2006-01-01T23:59:59.000Z

    We present a spectrophotometric study of circumnuclear star forming regions (CNSFR) in the early type spiral galaxies: NGC 2903, NGC 3351 and NGC 3504, all of them of over solar metallicity according to standard empirical calibrations. A detailed determination of their abundances is made after careful subtraction of the very prominent underlying stellar absorption. It is found that most regions show the highest abundances in HII region-like objects. The relative N/O and S/O abundances are discussed. In is also shown that CNSFR, as a class, segregate from the disk HII region family, clustering around smaller ``softness parameter" -- \\eta' -- values, and therefore higher ionizing temperatures.

  18. INTRODUCTION In the Gulf of Mexico region, two types of

    E-Print Network [OSTI]

    Claeys, Philippe

    of the Campeche marine platform (Fig. 1) is the most prolific oil-producing province in southeastern Mexico recoverable reserves of 10176 m.b. of oil and 5169 billion cubic feet (1464 × 108 m3) of gas (PEMEX a cumulative production of 12.7 m.b. of oil and additional re- coverable reserves of 40­70 m.b. of oil

  19. Assignment Types UTS LIBRARY

    E-Print Network [OSTI]

    University of Technology, Sydney

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

  20. SITN Regional Outreach Map

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

    Region States in Region Awardee(s) Location of Awardee(s) Contact(s) Northeast (Photovoltaics) CT * ME * MA * NH NY * RI * VT Hudson Valley Community College Troy, NY Richard...

  1. " Million Housing Units, Final...

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

    Used and End Uses in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East...

  2. " Million Housing Units, Final...

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

    Used and End Uses in Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific...

  3. " Million Housing Units, Final...

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

    Used and End Uses in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

  4. " Million Housing Units, Final...

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

    1 Space Heating in U.S. Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific...

  5. " Million Housing Units, Final...

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

    0 Space Heating in U.S. Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East...

  6. " Million Housing Units, Final...

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

    9 Space Heating in U.S. Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" " ",,,"East North Central Census...

  7. " Million Housing Units, Final...

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

    8 Space Heating in U.S. Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census...

  8. " Million Housing Units, Final...

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

    1 Computers and Other Electronics in Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census...

  9. " Million Housing Units, Final...

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

    0 Computers and Other Electronics in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census...

  10. " Million Housing Units, Final...

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

    9 Computers and Other Electronics in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

  11. " Million Housing Units, Final...

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

    8 Computers and Other Electronics in Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census...

  12. " Million Housing Units, Final...

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

    8 Water Heating in U.S. Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census...

  13. " Million Housing Units, Final...

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

    11 Water Heating in U.S. Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific...

  14. " Million Housing Units, Final...

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

    9 Water Heating in U.S. Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

  15. " Million Housing Units, Final...

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

    0 Water Heating in U.S. Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East...

  16. Ultracompact HII Regions

    E-Print Network [OSTI]

    Stan Kurtz; Jose Franco

    2001-11-20T23:59:59.000Z

    We review some recent observational results on the properties of ultracompact HII regions, in particular the presence of extended continuum emission surrounding ultracompact sources and the discovery of a new class of so-called ``Hypercompact'' HII regions. In addition, we discuss recent attempts to probe the density structure within UC HII regions using the technique of spectral index analysis.

  17. Types of Costs Types of Cost Estimates

    E-Print Network [OSTI]

    Boisvert, Jeff

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

  18. CENSUS AND STATISTICAL CHARACTERIZATION OF SOIL AND WATER QUALITY AT ABANDONED AND OTHER CENTRALIZED AND COMMERCIAL DRILLING-FLUID DISPOSAL SITES IN LOUISIANA, NEW MEXICO, OKLAHOMA, AND TEXAS

    SciTech Connect (OSTI)

    Alan R. Dutton; H. Seay Nance

    2003-06-01T23:59:59.000Z

    Commercial and centralized drilling-fluid disposal (CCDD) sites receive a portion of spent drilling fluids for disposal from oil and gas exploration and production (E&P) operations. Many older and some abandoned sites may have operated under less stringent regulations than are currently enforced. This study provides a census, compilation, and summary of information on active, inactive, and abandoned CCDD sites in Louisiana, New Mexico, Oklahoma, and Texas, intended as a basis for supporting State-funded assessment and remediation of abandoned sites. Closure of abandoned CCDD sites is within the jurisdiction of State regulatory agencies. Sources of data used in this study on abandoned CCDD sites mainly are permit files at State regulatory agencies. Active and inactive sites were included because data on abandoned sites are sparse. Onsite reserve pits at individual wells for disposal of spent drilling fluid are not part of this study. Of 287 CCDD sites in the four States for which we compiled data, 34 had been abandoned whereas 54 were active and 199 were inactive as of January 2002. Most were disposal-pit facilities; five percent were land treatment facilities. A typical disposal-pit facility has fewer than 3 disposal pits or cells, which have a median size of approximately 2 acres each. Data from well-documented sites may be used to predict some conditions at abandoned sites; older abandoned sites might have outlier concentrations for some metal and organic constituents. Groundwater at a significant number of sites had an average chloride concentration that exceeded nonactionable secondary drinking water standard of 250 mg/L, or a total dissolved solids content of >10,000 mg/L, the limiting definition for underground sources of drinking water source, or both. Background data were lacking, however, so we did not determine whether these concentrations in groundwater reflected site operations. Site remediation has not been found necessary to date for most abandoned CCDD sites; site assessments and remedial feasibility studies are ongoing in each State. Remediation alternatives addressed physical hazards and potential for groundwater transport of dissolved salt and petroleum hydrocarbons that might be leached from wastes. Remediation options included excavation of wastes and contaminated adjacent soils followed by removal to permitted disposal facilities or land farming if sufficient on-site area were available.

  19. CREEL CENSUS AND EXPENDITURE STUDIES,

    E-Print Network [OSTI]

    ! LIBRARY JUN11 ib5b WOODS HOLE, MASS. SPECIAL SCIENTIFIC REPORT-FISHERIES No. 141 UNITED STATES DEPARTMENT

  20. http://www.census.gov/

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythemeansIHome * AboutEconomicFAQs

  1. CDKN-CARICOM-A Regional Implementation Plan for CARICOM's Regional...

    Open Energy Info (EERE)

    CARICOM-A Regional Implementation Plan for CARICOM's Regional Climate Change Resilience Framework Jump to: navigation, search Name CDKN-CARICOM-A Regional Implementation Plan for...

  2. Types of Commissioning

    Broader source: Energy.gov [DOE]

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

  3. CEMI Western Regional Summit

    Broader source: Energy.gov [DOE]

    Please Join Assistant Secretary of Energy Dr. David Danielson for the Clean Energy Manufacturing Initiative's Western Regional Summit. Register now for this free event.

  4. SEARCHING FOR NEW HYPERCOMPACT H II REGIONS

    SciTech Connect (OSTI)

    Sanchez-Monge, Alvaro [Osservatorio Astrofisico di Arcetri, INAF, Largo E. Fermi 5, I-50125 Firenze (Italy); Pandian, Jagadheep D. [Institute for Astronomy, University of Hawaii, 2680 Woodlawn Dr., Honolulu, HI 96822 (United States); Kurtz, Stan, E-mail: asanchez@arcetri.astro.it [Centro de RadioastronomIa y Astrofisica, Universidad Nacional Autonoma de Mexico, Apdo. Postal 3-72, 58090 Morelia, Michoacan (Mexico)

    2011-09-20T23:59:59.000Z

    Hypercompact (HC) H II regions are, by nature, very young H II regions, associated with the earliest stages of massive star formation. They may represent the transition phase as an early B-type star grows into an O-type star. Unfortunately, so few HC H II regions are presently known that their general attributes and defining characteristics are based on small number statistics. A larger sample is needed for detailed studies and good statistics. Class II methanol masers are one of the best indicators of the early stages of massive star formation. Using the Arecibo Methanol Maser Galactic Plane Survey-the most sensitive blind survey for 6.7 GHz methanol masers to date-we selected 24 HC H II region candidates. We made Expanded Very Large Array continuum observations at 3.6 and 1.3 cm to search for HC H II regions associated with these masers. We identified six potential HC H II regions in our sample based on the presence of optically thick free-free emission. Overall, we find that 30% of the methanol masers have an associated centimeter radio continuum source (separation less than 0.1 pc), which is in general agreement with previous studies.

  5. Types of Costs Types of Cost Estimates

    E-Print Network [OSTI]

    Boisvert, Jeff

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

  6. Regional Analysis Briefs

    Reports and Publications (EIA)

    2028-01-01T23:59:59.000Z

    Regional Analysis Briefs (RABs) provide an overview of specific regions that play an important role in world energy markets, either directly or indirectly. These briefs cover areas that are currently major producers (Caspian Sea), have geopolitical importance (South China Sea), or may have future potential as producers or transit areas (East Africa, Eastern Mediterranean).

  7. The Chimalapas Region, Oaxaca, Mexico: a high-priority region for bird conservation in Mesoamerica

    E-Print Network [OSTI]

    Peterson, A. Townsend; Navarro-Sigü enza, Adolfo G.; Herná ndez-Bañ os, Blanca E.; Escalona-Segura, Griselda; Rebó n-Gallardo, Fanny; Rodrí guez-Ayala, Emir; Figueroa-Esquivel, Elsa M.; Cabrera-Garcí a, Leonardo

    2003-01-01T23:59:59.000Z

    The Chimalapas lie in the easternmost corner of Oaxaca (Figure 1), at the shared border of Oaxaca, Veracruz and Chiapas. With Chajul (Chiapas) and Calakmul (Campeche) they rank among the largest pristine tropical regions of Mexico, holding an impressive number... of vegetation types, including cloud forest, trop- ical rainforest, semi-deciduous tropical forest, humid pine-oak forest, and deciduous tropical forest (Binford 1989, Wendt 1989, 1993; Figure 2). The region had its geological origins in the Upper Cretaceous...

  8. Chandra Study of the Cepheus B Star Forming Region: Stellar Populations and the Initial Mass Function

    E-Print Network [OSTI]

    Getman, K V; Feigelson, E D; Garmire, G; Townsley, L; Tsujimoto, M; Broos, Patrick; Feigelson, Eric D.; Garmire, Gordon; Getman, Konstantin V.; Townsley, Leisa; Tsujimoto, Masahiro

    2006-01-01T23:59:59.000Z

    Cepheus B (Cep B) molecular cloud and a portion of the nearby Cep OB3b OB association, one of the most active regions of star formation within 1 kpc, has been observed with the ACIS detector on board the Chandra X-ray Observatory. We detect 431 X-ray sources, of which 89% are confidently identified as clustered pre-main sequence stars. Two main results are obtained. First, we provide the best census to date for the stellar population of the region. We identify many members of two rich stellar clusters: the lightly obscured Cep OB3b association, and the deeply embedded cluster in Cep B whose existence was previously traced only by a handful of radio sources and T Tauri stars. Second, we find a discrepancy between the X-ray Luminosity Functions of the Cep OB3b and the Orion Nebula Cluster. This may be due to different Initial Mass Functions of two regions (excess of ~0.3 solar mass stars), or different age distributions. Several other results are obtained. A diffuse X-ray component seen in the field is attribut...

  9. Trace element geochemistry of ordinary chondrite chondrules: the type I/type II chondrule dichotomy

    E-Print Network [OSTI]

    Jacquet, Emmanuel; Gounelle, Matthieu

    2015-01-01T23:59:59.000Z

    We report trace element concentrations of silicate phases in chondrules from LL3 ordinary chondrites Bishunpur and Semarkona. Results are similar to previously reported data for carbonaceous chondrites, with rare earth element (REE) concentrations increasing in the sequence olivine ~ 10 K/h) than type I chondrules. Appreciable Na concentrations (3-221 ppm) are measured in olivine from both chondrule types; type II chondrules seem to have behaved as closed systems, which may require chondrule formation in the vicinity of protoplanets or planetesimals. At any rate, higher solid concentrations in type II chondrule forming regions may explain the higher oxygen fugacities they record compared to type I chondrules. Type I and type II chondrules formed in different environments and the correlation between high solid concentrations and/or oxygen fugacities with rapid cooling rates is a key constraint that chondrule formation models must account for.

  10. Regional Districts (Texas)

    Broader source: Energy.gov [DOE]

    Adjacent Water Control and Improvement Districts and Municipal Utility Districts can opt to form a Regional District to oversee water issues. Such districts may be created:(1) to purchase, own,...

  11. Regional Carbon Sequestration Partnerships

    Broader source: Energy.gov [DOE]

    DOE has created a network of seven Regional Carbon Sequestration Partnerships (RCSPs) to help develop the technology, infrastructure, and regulations to implement large-scale CO2 storage (also...

  12. Types of Reuse

    Broader source: Energy.gov [DOE]

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

  13. Monadic Regions [Extended Abstract

    E-Print Network [OSTI]

    Fluet, Matthew

    to manage particular data by one scheme or the other. Cyclone [12] offers multiple forms of memory collection and a simple type system. A separate line of research has investigated mechanisms by which

  14. Northeast Regional Biomass Program

    SciTech Connect (OSTI)

    Lusk, P.D.

    1992-12-01T23:59:59.000Z

    The Northeast Regional Biomass Program has been in operation for a period of nine years. During this time, state managed programs and technical programs have been conducted covering a wide range of activities primarily aim at the use and applications of wood as a fuel. These activities include: assessments of available biomass resources; surveys to determine what industries, businesses, institutions, and utility companies use wood and wood waste for fuel; and workshops, seminars, and demonstrations to provide technical assistance. In the Northeast, an estimated 6.2 million tons of wood are used in the commercial and industrial sector, where 12.5 million cords are used for residential heating annually. Of this useage, 1504.7 mw of power has been generated from biomass. The use of wood energy products has had substantial employment and income benefits in the region. Although wood and woodwaste have received primary emphasis in the regional program, the use of municipal solid waste has received increased emphasis as an energy source. The energy contribution of biomass will increase as potentia users become more familiar with existing feedstocks, technologies, and applications. The Northeast Regional Biomass Program is designed to support region-specific to overcome near-term barriers to biomass energy use.

  15. Agricultural production in the United States by county: a compilation of information from the 1974 census of agriculture for use in terrestrial food-chain transport and assessment models

    SciTech Connect (OSTI)

    Shor, R.W.; Baes, C.F. III; Sharp, R.D.

    1982-01-01T23:59:59.000Z

    Terrestrial food-chain models that simulate the transport of environmentally released radionuclides incorporate parameters describing agricultural production and practice. Often a single set of default parameters, such as that listed in USNRC Regulatory Guide 1.109, is used in lieu of site-specific information. However, the geographical diversity of agricultural practice in the United States suggests the limitations of a single set of default parameters for assessment models. This report documents default parameters with a county-wide resolution based on analysis of the 1974 US Census of Agriculture for use in terrestrial food chain models. Data reported by county, together with state-based information from the US Department of Agriculture, Economic and Statistics Service, provided the basis for estimates of model input parameters. This report also describes these data bases, their limitations, and lists default parameters by county. Vegetable production is described for four categories: leafy vegetables; vegetables and fruits exposed to airborne material; vegetables, fruits, and nuts protected from airborne materials; and grains. Livestock feeds were analyzed in categories of hay, silage, pasture, and grains. Pasture consumption was estimated from cattle and sheep inventories, their feed requirements, and reported quantities of harvested forage. The results were compared with assumed yields of the pasture areas reported. In addition, non-vegetable food production estimates including milk, beef, pork, lamb, poultry, eggs, goat milk, and honey are described. The agricultural parameters and land use information - in all 47 items - are tabulated in four appendices for each of the 3067 counties of the US reported to the Census of Agriculture, excluding those in Hawaii and Alaska.

  16. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data;

  17. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional

  18. The Corona Australis Star Forming Region

    E-Print Network [OSTI]

    Ralph Neuhäuser; Jan Forbrich

    2008-08-25T23:59:59.000Z

    At a distance of about 130 pc, the Corona Australis molecular cloud complex is one of the nearest regions with ongoing and/or recent star formation. It is a region with highly variable extinction of up to AV~45 mag, containing, at its core, the Coronet protostar cluster. There are now 55 known optically detected members, starting at late B spectral types. At the opposite end of the mass spectrum, there are two confirmed brown dwarf members and seven more candidate brown dwarfs. The CrA region has been most widely surveyed at infrared wavelengths, in X-rays, and in the millimeter continuum, while follow-up observations from centimeter radio to X-rays have focused on the Coronet cluster.

  19. Regional Report Issue Paper

    E-Print Network [OSTI]

    Regional Report Introduction The economy of the United States is more than three and one-half years accounting for both increasing shares of the economy and of recessionary employment losses. Manufacturing, driven by globalization and advancing information technology. Recoveries now produce jobs new

  20. LEADERSHIP HANDBOOK FOR REGIONAL COMMUNITIES

    E-Print Network [OSTI]

    Weaver, Harold A. "Hal"

    LEADERSHIP HANDBOOK FOR REGIONAL COMMUNITIES JOHNS HOPKINS ALUMNI ASSOCIATION & THE OFFICE OF ALUMNI RELATIONS #12;Leadership Handbook for Regional Chapters 2 CONTENTS Contents .......................................................................................................................9 Chapter Leadership

  1. Regional Competitions - EERE Commercialization Office

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

    Runner-up Teams The Six Regional Competitions The Massachusetts Institute of Technology logo. Northeast Region Lead: Massachusetts Institute of Technology (Cambridge, MA) This...

  2. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA 6 J

  3. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA 6

  4. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA

  5. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels

  6. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of

  7. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality

  8. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and

  9. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost

  10. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950

  11. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category

  12. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution

  13. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8)

  14. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row:

  15. Typed Self-Optimization

    E-Print Network [OSTI]

    Brown, Matt

    2013-01-01T23:59:59.000Z

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

  16. Regional Transportation Coordination Study

    E-Print Network [OSTI]

    Golden Crescent Regional Planning Commission

    Committee for this study. ? Develop a coordination public transportation plan ? Identify resources required to develop the plan ? Provide policy guidance to lead the planning and coordination effort Golden Crescent Regional Transit 1... of Texas. This resource will be relied upon for further development of the Intermodal Transportation Terminal. ? FTA Section 5309 (Bus) Discretionary Support ? To assist in meeting the GCRPC?s capital replacement needs. This resource...

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

    E-Print Network [OSTI]

    Rau, Don C.

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

  18. Chandra Study of the Cepheus B Star Forming Region: Stellar Populations and the Initial Mass Function

    E-Print Network [OSTI]

    Konstantin V. Getman; Eric D. Feigelson; Leisa Townsley; Patrick Broos; Gordon Garmire; Masahiro Tsujimoto

    2006-01-18T23:59:59.000Z

    Cepheus B (Cep B) molecular cloud and a portion of the nearby Cep OB3b OB association, one of the most active regions of star formation within 1 kpc, has been observed with the ACIS detector on board the Chandra X-ray Observatory. We detect 431 X-ray sources, of which 89% are confidently identified as clustered pre-main sequence stars. Two main results are obtained. First, we provide the best census to date for the stellar population of the region. We identify many members of two rich stellar clusters: the lightly obscured Cep OB3b association, and the deeply embedded cluster in Cep B whose existence was previously traced only by a handful of radio sources and T Tauri stars. Second, we find a discrepancy between the X-ray Luminosity Functions of the Cep OB3b and the Orion Nebula Cluster. This may be due to different Initial Mass Functions of two regions (excess of ~0.3 solar mass stars), or different age distributions. Several other results are obtained. A diffuse X-ray component seen in the field is attributed to the integrated emission of unresolved low mass PMS stars. The X-ray emission from HD 217086 (O7n), the principle ionizing source of the region, follows the standard model involving many small shocks in an unmagnetized radiatively accelerated wind. The X-ray source #294 joins a number of similar superflare PMS stars where long magnetic structures may connect the protoplanetary disk to the stellar surface.

  19. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA 6 J 9Decade2,128

  20. Regional Energy Baseline 

    E-Print Network [OSTI]

    Kim, H.; Baltazar, J.C.; Haberl, J.

    2011-01-01T23:59:59.000Z

    ESL-TR-11-09-02 REGIONAL ENERGY BASELINE (1960 ~ 2009) 0 100 200 300 400 500 600 700 800 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 To tal En erg y U se pe r C ap ita (M MB tu) Year Total Energy... Use per Capita (1960-2009) US SEEC 12-States TX Hyojin Kim Juan-Carlos Baltazar, Ph.D. Jeff S. Haberl, Ph.D., P.E. September 2011 ENERGY SYSTEMS LABORATORY Texas Engineering Experiment Station Texas A&M University...

  1. Regional Energy Baseline

    E-Print Network [OSTI]

    Kim, H.; Baltazar, J.C.; Haberl, J.

    ESL-TR-11-09-02 REGIONAL ENERGY BASELINE (1960 ~ 2009) 0 100 200 300 400 500 600 700 800 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 To tal En erg y U se pe r C ap ita (M MB tu) Year Total Energy... Use per Capita (1960-2009) US SEEC 12-States TX Hyojin Kim Juan-Carlos Baltazar, Ph.D. Jeff S. Haberl, Ph.D., P.E. September 2011 ENERGY SYSTEMS LABORATORY Texas Engineering Experiment Station Texas A&M University...

  2. Regional companies eye growth

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements Recently Approved JustificationBio-Inspired PowerRegional companies eye

  3. Fejer-type inequalities

    E-Print Network [OSTI]

    Mitroi, F C

    2011-01-01T23:59:59.000Z

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

  4. Document Type: Subject Terms

    E-Print Network [OSTI]

    Major, Arkady

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

  5. THE BLAST VIEW OF THE STAR-FORMING REGION IN AQUILA (l = 45{sup 0}, b = 0{sup 0})

    SciTech Connect (OSTI)

    Rivera-Ingraham, Alana; Martin, Peter G.; Netterfield, Calvin B. [Department of Astronomy and Astrophysics, University of Toronto, 50 St. George Street, Toronto, ON M5S 3H4 (Canada); Ade, Peter A. R.; Griffin, Matthew; Hargrave, Peter C.; Mauskopf, Philip [Department of Physics and Astronomy, Cardiff University, 5 The Parade, Cardiff, CF24 3AA (United Kingdom); Bock, James J. [Jet Propulsion Laboratory, Pasadena, CA 91109-8099 (United States); Chapin, Edward L.; Halpern, Mark; Marsden, Gaelen; Scott, Douglas [Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1 (Canada); Devlin, Mark J.; Dicker, Simon R.; Klein, Jeff; Rex, Marie [Department of Physics and Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, PA 19104 (United States); Gundersen, Joshua O. [Department of Physics, University of Miami, 1320 Campo Sano Drive, Carol Gables, FL 33146 (United States); Hughes, David H. [Instituto Nacional de Astrofisica Optica y Electronica (INAOE), Aptdo. Postal 51 y 72000 Puebla (Mexico); Olmi, Luca [University of Puerto Rico, Rio Piedras Campus, Physics Department, Box 23343, UPR Station, San Juan (Puerto Rico); Patanchon, Guillaume [Laboratoire APC, 10, rue Alice Domon et Leonie Duquet, 75205 Paris (France)

    2010-11-01T23:59:59.000Z

    We have carried out the first general submillimeter analysis of the field toward GRSMC 45.46+0.05, a massive star-forming region in Aquila. The deconvolved 6 deg{sup 2} (3{sup 0} x 2{sup 0}) maps provided by BLAST in 2005 at 250, 350, and 500 {mu}m were used to perform a preliminary characterization of the clump population previously investigated in the infrared, radio, and molecular maps. Interferometric CORNISH data at 4.8 GHz have also been used to characterize the Ultracompact H II regions (UCHIIRs) within the main clumps. By means of the BLAST maps, we have produced an initial census of the submillimeter structures that will be observed by Herschel, several of which are known Infrared Dark Clouds. Our spectral energy distributions of the main clumps in the field, located at {approx}7 kpc, reveal an active population with temperatures of T{approx} 35-40 K and masses of {approx}10{sup 3} M{sub sun} for a dust emissivity index {beta} = 1.5. The clump evolutionary stages range from evolved sources, with extended H II regions and prominent IR stellar population, to massive young stellar objects, prior to the formation of an UCHIIR. The CORNISH data have revealed the details of the stellar content and structure of the UCHIIRs. In most cases, the ionizing stars corresponding to the brightest radio detections are capable of accounting for the clump bolometric luminosity, in most cases powered by embedded OB stellar clusters.

  6. Colorado Regional Faults

    SciTech Connect (OSTI)

    Hussein, Khalid

    2012-02-01T23:59:59.000Z

    Citation Information: Originator: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Originator: Colorado Geological Survey (CGS) Publication Date: 2012 Title: Regional Faults Edition: First Publication Information: Publication Place: Earth Science & Observation Center, Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder Publisher: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Description: This layer contains the regional faults of Colorado Spatial Domain: Extent: Top: 4543192.100000 m Left: 144385.020000 m Right: 754585.020000 m Bottom: 4094592.100000 m Contact Information: Contact Organization: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Contact Person: Khalid Hussein Address: CIRES, Ekeley Building Earth Science & Observation Center (ESOC) 216 UCB City: Boulder State: CO Postal Code: 80309-0216 Country: USA Contact Telephone: 303-492-6782 Spatial Reference Information: Coordinate System: Universal Transverse Mercator (UTM) WGS’1984 Zone 13N False Easting: 500000.00000000 False Northing: 0.00000000 Central Meridian: -105.00000000 Scale Factor: 0.99960000 Latitude of Origin: 0.00000000 Linear Unit: Meter Datum: World Geodetic System 1984 (WGS ’984) Prime Meridian: Greenwich Angular Unit: Degree Digital Form: Format Name: Shape file

  7. Innovative . Flexible . RegionalInnovative . Flexible . Regional Health Care

    E-Print Network [OSTI]

    Shihadeh, Alan

    Executive Master in Innovative . Flexible . RegionalInnovative . Flexible . Regional Health Care Learning Outcomes Health Systems, Policy and Reform - Communicating with Policy Makers - Evidence - Human Resources Management - Data and Decision Making Executive Master in Health Care Leadership (EMHCL

  8. Atmospheric mercury measurements in the Gulf ofAtmospheric mercury measurements in the Gulf of Mexico and midMexico and mid--Atlantic regions: Early resultsAtlantic regions: Early results

    E-Print Network [OSTI]

    of Mexico and midMexico and mid--Atlantic regions: Early resultsAtlantic regions: Early results from Site coal-fired power plant waste incinerator manufacturing metallurgical other fuel combustion type

  9. Southern Region Watershed Management Project

    E-Print Network [OSTI]

    Coordinators and the organization, management and activities of the Southern Region Water Quality Planning1 Southern Region Watershed Management Project September 15, 2000 to September 14, 2005 Terminal responding to water quality and conservation issues with educational assistance, technology development

  10. Regional Summary Pacific Management Context

    E-Print Network [OSTI]

    . Bocaccio, Pacific ocean perch, cowcod, and darkblotched and widow rockfish are currently in rebuildingRegional Summary Pacific Management Context The Pacific Region includes California, Oregon, and Washington. Federal fisheries in this region are managed by the Pacific Fishery Management Council (PFMC

  11. 6, 1332313366, 2006 Regional pollution

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ACPD 6, 13323­13366, 2006 Regional pollution potentials of major population centers M. G. Lawrence a Creative Commons License. Atmospheric Chemistry and Physics Discussions Regional pollution potentials. Lawrence (lawrence@mpch-mainz.mpg.de) 13323 #12;ACPD 6, 13323­13366, 2006 Regional pollution potentials

  12. Understanding Regional Economic Growth in IndiaUnderstanding Regional Economic Growth in India Understanding Regional Economic

    E-Print Network [OSTI]

    Understanding Regional Economic Growth in IndiaUnderstanding Regional Economic Growth in India Understanding Regional Economic Growth in India* Jeffrey D. Sachs Director The Earth Institute at Columbia_ramiah@yahoo.co.uk Asian Economic Papers 1:3 © 2002 The Earth Institute at Columbia University and the Massachusetts

  13. Dust around Type Ia supernovae

    E-Print Network [OSTI]

    Wang, Lifan

    2005-01-01T23:59:59.000Z

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

  14. Nucleosynthesis in Type Ia Supernovae

    E-Print Network [OSTI]

    K. Nomoto; K. Iwamoto; N. Nakasato; F. -K. Thielemann; F. Brachwitz; T. Tsujimoto; Y. Kubo; N. Kishimoto

    1997-06-03T23:59:59.000Z

    Among the major uncertainties involved in the Chandrasekhar mass models for Type Ia supernovae are the companion star of the accreting white dwarf (or the accretion rate that determines the carbon ignition density) and the flame speed after ignition. We present nucleosynthesis results from relatively slow deflagration (1.5 - 3 % of the sound speed) to constrain the rate of accretion from the companion star. Because of electron capture, a significant amount of neutron-rich species such as ^{54}Cr, ^{50}Ti, ^{58}Fe, ^{62}Ni, etc. are synthesized in the central region. To avoid the too large ratios of ^{54}Cr/^{56}Fe and ^{50}Ti/^{56}Fe, the central density of the white dwarf at thermonuclear runaway must be as low as \\ltsim 2 \\e9 \\gmc. Such a low central density can be realized by the accretion as fast as $\\dot M \\gtsim 1 \\times 10^{-7} M_\\odot yr^{-1}$. These rapidly accreting white dwarfs might correspond to the super-soft X-ray sources.

  15. Wolter type i LAMAR

    SciTech Connect (OSTI)

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

    1981-11-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Hamel, Sylvie

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

  17. Apparatus for tensile testing plate-type ceramic specimens

    DOE Patents [OSTI]

    Liu, K.C.

    1993-08-24T23:59:59.000Z

    Apparatus is described for gripping a plate-type tensile specimen having generally T-shaped end regions in a dynamic tension fatigue testing apparatus comprising an annular housing having an open-ended elongated cavity therein, a plurality of hydraulic piston means supported by the housing in a spaced array about the cavity, and a specimen-supporting plate means overlying the piston means at one end of the elongated cavity and displaceable by said piston means in a longitudinal direction with respect to the longitudinal axis of the cavity, said apparatus for gripping a flat plate-type tensile specimen comprising: a pair of elongated pull rods each having oppositely disposed first and second end regions; a pair of mounting means carried by said plate means with each mounting means for pivotally attaching the first end region of each of said pull rods in a central region of said plate means for supporting said pair of elongated pull rods in a side-by-side relationship along a common longitudinal centerline within said cavity; recess means in the second end region of each of said pull rods in adjacently disposed surface regions thereof with said recess means facing one another and each adapted to receive one side of one of the generally T-shaped end regions of the plate-type tensile specimen; and load-bearing means positionable in each of said recess means and adapted to bear against a shoulder on each side of the generally T-shaped end region of the plate-type tensile specimen when a tensile loading is applied thereon.

  18. A CENSUS OF ROTATION AND VARIABILITY IN L1495: A UNIFORM ANALYSIS OF TRANS-ATLANTIC EXOPLANET SURVEY LIGHT CURVES FOR PRE-MAIN-SEQUENCE STARS IN TAURUS

    SciTech Connect (OSTI)

    Xiao Hongyu; Covey, Kevin R.; Lloyd, James P. [Department of Astronomy, Cornell University, 226 Space Sciences Building, Ithaca, NY 14853 (United States); Rebull, Luisa [Spitzer Science Center/Caltech, M/S 220-6, 1200 East California Boulevard, Pasadena, CA 91125 (United States); Charbonneau, David [Department of Astronomy, Harvard University, 60 Garden Street, Cambridge, MA 02138 (United States); Mandushev, Georgi [Lowell Observatory, 1400 West Mars Hill Road, Flagstaff, AZ 86001 (United States); O'Donovan, Francis; Slesnick, Catherine [Astronomy Department, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125 (United States)

    2012-09-15T23:59:59.000Z

    We analyze light curves obtained by the Trans-atlantic Exoplanet Survey (TrES) for a field centered on the L1495 dark cloud in Taurus. The Spitzer Taurus Legacy Survey catalog identifies 179 bona fide Taurus members within the TrES field; 48 of the known Taurus members are detected by TrES, as well as 26 candidate members identified by the Spitzer Legacy team. We quantify the variability of each star in our sample using the ratio of the standard deviation of the original light curve ({sigma}{sub orig.}) to the standard deviation of a light curve that has been smoothed by 9 or 1001 epochs ({sigma}{sub 9} and {sigma}{sub 1001}, respectively). Known Taurus members typically demonstrate ({sigma}{sub orig.}/{sigma}{sub 9}) < 2.0, and ({sigma}{sub orig.}/{sigma}{sub 1001}) < 5, while field stars reveal ({sigma}{sub orig.}/{sigma}{sub 9}) {approx} 3.0 and ({sigma}{sub orig.}/{sigma}{sub 1001}) {approx} 10, as expected for light curves dominated by unstructured white noise. Of the 74 Taurus members/candidates with TrES light curves, we detect significant variability in 49 sources. Adapting a quantitative metric originally developed to assess the reliability of transit detections, we measure the amount of red and white noise in each light curve and identify 18 known or candidate Taurus members with highly significant period measurements. These appear to be the first periods measured for four of these sources (HD 282276, CX Tau, FP Tau, TrES J042423+265008), and in two other cases, the first non-aliased periods (LkCa 21 and DK Tau AB). For the remainder, the TrES measurements typically agree very well ({delta}P < 1%) with previously reported values. Including periods measured at lower confidence for 15 additional sources, we report periods for 11 objects where no previous periods were found, including 8 confirmed Taurus members. We also identify 10 of the 26 candidate Taurus members that demonstrate variability levels consistent with being bona fide T Tauri stars. A Kolomgorov-Smirnov (K-S) test confirms that these new periods confirm the distinction between the rotation period distributions of stars with and without circumstellar disks, with only a 10% probability of the two populations sharing the same parent period distribution. K-S tests do suggest, however, that the updated Taurus period distribution now more closely resembles those measured in other young star-forming clusters (i.e., NGC 2264, NGC 6530, and the ONC). This improved agreement may reflect the exclusion of long rotation periods which are detected in Taurus at lower significance, and which may be beyond the limits of detectability in more distant star-forming regions.

  19. Coordinated Regional Public Transportation Plan: Heart of Texas Region

    E-Print Network [OSTI]

    Heart of Texas Council of Governments

    2006-12-01T23:59:59.000Z

    Coordinated Regional Public Transportation Plan Heart of Texas Region Bosque, Falls, Freestone, Hill, Limestone & McLennan Counties December 1, 2006 TABLE OF CONTENTS Acknowledgements... of Texas Council of Governments (HOTCOG) and the McLennan County Youth Collaboration (MCYC) ---21 Central Texas Senior Ministries (CTSM), Hill County Transit (HCT) and Scott and White (S&W) Medical Facilities...

  20. Regional Energy Efficiency Programs | Department of Energy

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

    Programs Regional Energy Efficiency Programs This presentation covers regional industrial energy efficiency programs in the Midwest, Southeast, and Southwest. Regional Energy...

  1. Postdoc Appointment Types

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

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

  2. PITTSBURGH REGIONAL ENVIRONMENTAL THREATS ANALYSIS

    E-Print Network [OSTI]

    Jiang, Huiqiang

    AND COMMUNITIES PITTSBURGH, PA. | AUGUST 2013 #12;PRETA AIR: HAZARDOUS AIR POLLUTANTS 32 PITTSBURGH REGIONAL ENVIRONMENTAL THREATS ANALYSIS REPORT PRETA AIR: HAZARDOUS AIR POLLUTANTS (HAPs)/AIR TOXICS PREPARED BY AUTHORSPITTSBURGH REGIONAL ENVIRONMENTAL THREATS ANALYSIS (PRETA) REPORT PRETA AIR: HAZARDOUS AIR

  3. 1, 497531, 2004 Regional hydrology

    E-Print Network [OSTI]

    Boyer, Edmond

    BGD 1, 497­531, 2004 Regional hydrology controls stream microbial biofilms T. J. Battin et al hydrology controls stream microbial biofilms: evidence from a glacial catchment T. J. Battin1, , A. Wille2@pflaphy.pph.univie.ac.at) 497 #12;BGD 1, 497­531, 2004 Regional hydrology controls stream microbial biofilms T. J. Battin et al

  4. REGIONAL WATER SUPPLY PLANNING AND

    E-Print Network [OSTI]

    Mays, Larry W.

    CHAPTER 3 REGIONAL WATER SUPPLY PLANNING AND CAPACITY EXPANSION MODELS Messele Z. Ejeta California Department of Water Resources Sacramento, California Larry W. Mays Department of Civil and Environmental Engineering Arizona State University Tempe, Arizona 3.1 INTRODUCTION Water supply planning on a regional scale

  5. Presentation of Regional SDSN Center

    E-Print Network [OSTI]

    Garulli, Andrea

    ;Conference topics: Pollution in the Mediterranean sea Climate change Improving the management Energy#12;Presentation of UN SDSN and MED SDSN Regional SDSN Center for the Mediterranean Region #12;UN for the Mediterranean Basin Why a Mediterranean Network? Shared history Shared environment Shared future MED

  6. EVIDENCE FOR SOLAR FREQUENCY DEPENDENCE ON SUNSPOT TYPE

    SciTech Connect (OSTI)

    Baldner, Charles S.; Basu, Sarbani [Department of Astronomy, Yale University, P.O. Box 208101, New Haven, CT 06520-8101 (United States); Bogart, Richard S. [Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA 94305-4085 (United States)

    2011-05-20T23:59:59.000Z

    High-degree solar mode frequencies as measured by ring diagrams are known to change in the presence of the strong magnetic fields found in active regions. We examine these changes in frequency for a large sample of active regions analyzed with data from the Michelson Doppler Imager on board the Solar and Heliospheric Observatory spacecraft, spanning most of solar cycle 23. We confirm that the frequencies increase with increasing magnetic field strength, and that this dependence is generally linear. We find that the dependence is slightly but significantly different for active regions with different sunspot types.

  7. The Project The Southern Region Water Quality Regional Coordination Project is designed to promote regional collaboration,

    E-Print Network [OSTI]

    The Project The Southern Region Water Quality Regional Coordination Project is designed to promote to protect and restore water resources. Effective approaches for watershed management, pollution prevention to the research, extension and education resources available through the Land Grant University System

  8. Clean Energy Manufacturing Initiative Midwest Regional Summit...

    Office of Environmental Management (EM)

    Clean Energy Manufacturing Initiative Midwest Regional Summit: Lightweighting Breakout Session Summary Clean Energy Manufacturing Initiative Midwest Regional Summit: Lightweighting...

  9. Regional Public Coordination Transportation Plan Texoma Region #22

    E-Print Network [OSTI]

    Texoma Council of Governments

    2006-12-01T23:59:59.000Z

    in conjunction with TxDOT to increase public awareness of the project. As an integral part of this project, each of the 24 regions studying public transportation in their area was charged with assessing Barriers, Constraints and Best Practices in public... Sherman TAPS TAPS TAPS operates in seven (7) counties, with three (3) of the counties in the Texoma Region. TAPS services include demand response, commuter bus services and special services. Square Miles Population ?00 Rider Trips ?05 Clay 1...

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

    E-Print Network [OSTI]

    Hamel, Sylvie

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

  11. Estimating type curve parameters with the cumulative curvature method

    E-Print Network [OSTI]

    Harris, Dan Edward

    1986-01-01T23:59:59.000Z

    curvature of Ramey type curves at a forward span of 40'$ . 32 15 Cumulative curvature of Ramey type curves at a forward span of 50$ . 33 16 Cumulative curvature of Ramey type curves at a forward span of 60$ 34 ix LIST OF FIGURES icontinued) 17..."wand spans ranging f;om 15$ to 60$ are presented in Figure 10 through 12. Since data that bately reaches past the end of the unit slope region is too vague even for this technique, the graph with a forward span of 0$ to 15$ is omitied here because...

  12. How to move ionized gas: an introduction to the dynamics of HII regions

    E-Print Network [OSTI]

    William J. Henney

    2006-02-28T23:59:59.000Z

    This review covers the dynamic processes that are important in the evolution and structure of galactic HII regions, concentrating on an elementary presentation of the physical concepts and recent numerical simulations of HII region evolution in a non-uniform medium. The contents are as follows: (1) The equations (Euler equations; Radiative transfer; Rate equations; How to avoid the dynamics; How to avoid the atomic physics). (2) Physical concepts (Static photoionization equilibrium; Ionization front propagation; Structure of a D-type front; Photoablation flows; Other ingredients - Stellar winds, Radiation pressure, Magnetic fields, Instabilities). (3) HII region evolution (Early phases: hypercompact and ultracompact regions; Later phases: compact and extended regions; Clumps and turbulence).

  13. Multi-peak solution for nonlinear magnetic Choquard type equation

    SciTech Connect (OSTI)

    Sun, Xiaomei, E-mail: xmsunn@gmail.com [College of Science, Huazhong Agricultural University, Wuhan 430070 (China) [College of Science, Huazhong Agricultural University, Wuhan 430070 (China); Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071 (China); Zhang, Yimin, E-mail: zhangyimin@wipm.ac.cn [Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071 (China)] [Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071 (China)

    2014-03-15T23:59:59.000Z

    In this paper, we study a class of nonlinear magnetic Choquard type equation involving a magnetic potential and nonlocal nonlinearities. By using the method of penalization argument, we show that there exists a family of solutions having multiple concentration regions which are concentrate at the minimum points of potential V.

  14. Mechanism design with approximate types

    E-Print Network [OSTI]

    Zhu, Zeyuan Allen

    2012-01-01T23:59:59.000Z

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

  15. Types of Farming in Texas.

    E-Print Network [OSTI]

    Bonnen, C. A.

    1960-01-01T23:59:59.000Z

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

  16. Transient horizontal magnetic fields in solar plage regions

    E-Print Network [OSTI]

    R. Ishikawa; S. Tsuneta; K. Ichimoto; H. Isobe; Y. Katsukawa; B. W. Lites; S. Nagata; T. Shimizu; R. A. Shine; Y. Suematsu; T. D. Tarbell; A. M. Title

    2008-02-13T23:59:59.000Z

    We report the discovery of isolated, small-scale emerging magnetic fields in a plage region with the Solar Optical Telescope aboard Hinode. Spectro-polarimetric observations were carried out with a cadence of 34 seconds for the plage region located near disc center. The vector magnetic fields are inferred by Milne-Eddington inversion. The observations reveal widespread occurrence of transient, spatially isolated horizontal magnetic fields. The lateral extent of the horizontal magnetic fields is comparable to the size of photospheric granules. These horizontal magnetic fields seem to be tossed about by upflows and downflows of the granular convection. We also report an event that appears to be driven by the magnetic buoyancy instability. We refer to buoyancy-driven emergence as type1 and convection-driven emergence as type2. Although both events have magnetic field strengths of about 600 G, the filling factor of type1 is a factor of two larger than that of type2. Our finding suggests that the granular convection in the plage regions is characterized by a high rate of occurrence of granular-sized transient horizontal fields.

  17. Pacific Islands Region News Release

    E-Print Network [OSTI]

    Pacific Islands Region News Release Contact: Wende Goo FOR IMMEDIATE RELEASE 808-721-4098 May 27 of these unique twins by contributing more than 100 hours of work to construct a holding pen for the young seal

  18. Council's Regional Hydropower Potential Scoping

    E-Print Network [OSTI]

    Council's Regional Hydropower Potential Scoping Study Generating Resources Advisory Committee 11 to determine potential, and draw conclusions Determine if realistic, reasonable assumption for hydropower at existing non-powered dams, and upgrades at existing hydropower facilities #12;Questions Asked Can

  19. Anomalous Emission from HII regions

    E-Print Network [OSTI]

    C. Dickinson

    2008-08-04T23:59:59.000Z

    Spinning dust appears to be the best explanation for the anomalous emission that has been observed at $\\sim 10-60$ GHz. One of the best examples of spinning dust comes from a HII region in the Perseus molecular cloud. Observations of other HII regions also show tentative evidence for excess emission at frequencies $\\sim 30$ GHz, although at lower emissivity levels. A new detection of excess emission at 31 GHz in the HII region RCW175 has been made. The most plausible explanation again comes from spinning dust. HII regions are a good place to look for spinning dust as long as accurate radio data spanning the $\\sim 5-100$ GHz range is available.

  20. RAFT Regional Algal Feedstock Testbed

    Broader source: Energy.gov [DOE]

    Breakout Session 3B—Integration of Supply Chains III: Algal Biofuels Strategy RAFT Regional Algal Feedstock Testbed Kimberly Ogden, Professor, University of Arizona, Engineering Technical Lead, National Alliance for Advanced Biofuels and Bioproducts

  1. Regional 166 Direct Loan (Ohio)

    Broader source: Energy.gov [DOE]

    The Ohio Development Services Agency's (ODSA) Regional 166 Direct Loan provides low-interest loans to businesses creating new jobs or preserving existing employment opportunities in the State of Ohio.

  2. The 22nd International Photovoltaic Science and Engineering Conference, November 05-09, 2012, Hangzhou, China Gettering of n-type multicrystalline silicon solar cells by

    E-Print Network [OSTI]

    , Hangzhou, China Gettering of n-type multicrystalline silicon solar cells by phosphorus diffusion, boron in heavily dislocated regions. 1. INTRODUCTION N-type multicrystalline silicon has great potential as solar+ diffused region in n- type silicon solar cells with either aluminum annealing or boron diffusion are good

  3. Tornado type wind turbines

    DOE Patents [OSTI]

    Hsu, Cheng-Ting (Ames, IA)

    1984-01-01T23:59:59.000Z

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

  4. Impact glasses from the Apollo 14 landing site and implications for regional geology

    E-Print Network [OSTI]

    Spudis, Paul D.

    Impact glasses from the Apollo 14 landing site and implications for regional geology N. E. B are regolith developed on different terrains and local rock types. Almost 800 glasses from the Apollo 14 provenance of Apollo 14 samples and suggests that the highlands in the Fra Mauro region of the Moon consist

  5. Coverage statistics for sequence census methods

    E-Print Network [OSTI]

    Evans, Steven N; Hower, Valerie; Pachter, Lior

    2010-01-01T23:59:59.000Z

    Nature Methods 2008, 5:19-21. Hower V, Evans SN, Pachter L:N Evans 1,2 , Valerie Hower 1* , Lior Pachter 1,3 Abstract

  6. A dependent nominal type theory

    E-Print Network [OSTI]

    Cheney, James

    2012-01-01T23:59:59.000Z

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

  7. Regional discrimination studies. Scientific report No. 1

    SciTech Connect (OSTI)

    Hayward, C.; Herrin, E.; Sorrell, G.G.; Tibuleac, I.

    1996-04-01T23:59:59.000Z

    Part (1) describes TXAR in detail. The first Alpha-type station proposed by the GSE in 1993 is the Texas Experimental Seismic System (TEXESS), now designated TXAR, located at Lajitas, Texas, and operated by SMU during GSETT-1 and GSETT-2. Part (2) describes the results of the study of 144 events recorded at TXAR. The correlation method used allows the analysis of weak regional to teleseismic events and the identification of successive phases for each event. Corrected phase velocities show Pn first arrivals come to TXAR from as far as 2000 km. Events at greater distances have mantle P waves as first arrivals. Part (3) describes construction of a new Ground Truth Data Base using regional events from a variety of sources. Known sources include mine explosions, normal earthquakes, earthquake swarms, and very shallow earthquakes induced by hydrocarbon production. These induced earthquakes are only 1 to 4 km deep and have been observed with magnitudes ranging from 1.0 to 4.6. We believe all events in the Permian Basin of Texas to the northeast of TXAR are induced and are associated with oil and gas fields Part (4) are the Acknowledgements required by the contract.

  8. Regional Transmission Projects: Finding Solutions

    SciTech Connect (OSTI)

    The Keystone Center

    2005-06-15T23:59:59.000Z

    The Keystone Center convened and facilitated a year-long Dialogue on "Regional Transmission Projects: Finding Solutions" to develop recommendations that will help address the difficult and contentious issues related to expansions of regional electric transmission systems that are needed for reliable and economic transmission of power within and across regions. This effort brought together a cross-section of affected stakeholders and thought leaders to address the problem with the collective wisdom of their experience and interests. Transmission owners sat at the table with consumer advocates and environmental organizations. Representatives from regional transmission organizations exchanged ideas with state and federal regulators. Generation developers explored common interests with public power suppliers. Together, the Dialogue participants developed consensus solutions about how to begin unraveling some of the more intractable issues surrounding identification of need, allocation of costs, and reaching consensus on siting issues that can frustrate the development of regional transmission infrastructure. The recommendations fall into three broad categories: 1. Recommendations on appropriate institutional arrangements and processes for achieving regional consensus on the need for new or expanded transmission infrastructure 2. Recommendations on the process for siting of transmission lines 3. Recommendations on the tools needed to support regional planning, cost allocation, and siting efforts. List of Dialogue participants: List of Dialogue Participants: American Electric Power American Transmission Company American Wind Energy Association California ISO Calpine Corporation Cinergy Edison Electric Institute Environmental Defense Federal Energy Regulatory Commission Great River Energy International Transmission Company ISO-New England Iowa Public Utility Board Kanner & Associates Midwest ISO National Association of Regulatory Utility Commissioners National Association of State Utility Consumer Advocates National Grid Northeast Utilities PA Office of Consumer Advocates Pacific Gas & Electric Corporation Pennsylvania Public Utility Commission PJM Interconnection The Electricity Consumers Resource Council U.S. Department of Energy US Department of the Interior Van Ness Feldman Western Interstate Energy Board Wind on the Wires Wisconsin Public Service Commission Xcel Energy

  9. Regional

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection RadiationRecord-SettingHead5 IdleRegardingIndustrial Technologies|3

  10. Southeast Texas Region Regional Public Transportation Coordination Plan

    E-Print Network [OSTI]

    Southeast Texas Regional Planning Commission

    Providers Public transportation in the southeast Texas region includes primarily demand- response service, with two localities managing fixed-route systems. Table 2 identifies the transportation providers within the region. The major transportation... citywide bus services with eleven local routes. PAT operates from 6:15am to 6:15pm five days a week. Annual ridership for BMT totaled 671,420 fixed route and 22,155 demand response trips in 2005, while PAT ridership reached 116,632 fixed route and 20...

  11. br Owner br Facility br Type br Capacity br MW br Commercial...

    Open Energy Info (EERE)

    Facility br Type br Capacity br MW br Commercial br Online br Date br Geothermal br Area br Geothermal br Region Coordinates Ahuachapan Geothermal Power Plant LaGeo SA de CV Single...

  12. Environmental and Resource Economics Household Energy Demand in Urban China: Accounting for regional prices and rapid

    E-Print Network [OSTI]

    Energy Demand in Urban China: Accounting for regional prices and rapid income change Article Type and changing demographics. We estimate income and price elasticities for these energy types using a two effects into account, we find that total energy is price-inelastic for all income groups. For individual

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

    E-Print Network [OSTI]

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

  14. " Million Housing Units, Final...

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

    7 Space Heating in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Space...

  15. " Million Housing Units, Final...

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

    7 Computers and Other Electronics in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South"...

  16. " Million Housing Units, Final...

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

    7 Water Heating in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Water...

  17. Regions for Select Spot Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements Recently Approved JustificationBio-Inspired PowerRegional companiesRegions

  18. EE Regional Technology Roadmap Includes comparison

    E-Print Network [OSTI]

    EE Regional Technology Roadmap Includes comparison against 6th Power Plan (Update cyclically Data Clearinghouse BPA/RTF NEEA/Regional Programs Group Update Regional EE Technology Roadmap Lighting

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

    E-Print Network [OSTI]

    Pawlowski, Wojtek

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

  20. Panhandle Region Transportation Coordination Study

    E-Print Network [OSTI]

    Panhandle Regional Transportation Advisory Group

    drivers; shared office staff with PCS Schedule for out of county trips Amarillo MWF Notes on Service Provided Medicaid to Amarillo M-F; school trips M-F; Hereford Satellite Center; some trips to Hereford Senior Center and nursing homes Table 2............................................................................................................................ 2-5 Health and Human Services Organizations ................................................................................. 2-9 History of Regional Coordination of Public Transportation .................................................... 2...

  1. AN INTERFACE REGION IMAGING SPECTROGRAPH FIRST VIEW ON SOLAR SPICULES

    SciTech Connect (OSTI)

    Pereira, T. M. D.; De Pontieu, B.; Carlsson, M.; Hansteen, V. [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, NO-0315 Oslo (Norway); Tarbell, T. D.; Lemen, J.; Title, A.; Boerner, P.; Hurlburt, N.; Wülser, J. P.; Martínez-Sykora, J.; Kleint, L. [Lockheed Martin Solar and Astrophysics Laboratory, 3251 Hanover Street, Org. A021S, Bldg. 252, Palo Alto, CA 94304 (United States); Golub, L.; McKillop, S.; Reeves, K. K.; Saar, S.; Testa, P.; Tian, H. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Jaeggli, S.; Kankelborg, C., E-mail: tiago.pereira@astro.uio.no [Department of Physics, Montana State University, P.O. Box 173840, Bozeman, MT 59717 (United States)

    2014-09-01T23:59:59.000Z

    Solar spicules have eluded modelers and observers for decades. Since the discovery of the more energetic type II, spicules have become a heated topic but their contribution to the energy balance of the low solar atmosphere remains unknown. Here we give a first glimpse of what quiet-Sun spicules look like when observed with NASA's recently launched Interface Region Imaging Spectrograph (IRIS). Using IRIS spectra and filtergrams that sample the chromosphere and transition region, we compare the properties and evolution of spicules as observed in a coordinated campaign with Hinode and the Atmospheric Imaging Assembly. Our IRIS observations allow us to follow the thermal evolution of type II spicules and finally confirm that the fading of Ca II H spicules appears to be caused by rapid heating to higher temperatures. The IRIS spicules do not fade but continue evolving, reaching higher and falling back down after 500-800 s. Ca II H type II spicules are thus the initial stages of violent and hotter events that mostly remain invisible in Ca II H filtergrams. These events have very different properties from type I spicules, which show lower velocities and no fading from chromospheric passbands. The IRIS spectra of spicules show the same signature as their proposed disk counterparts, reinforcing earlier work. Spectroheliograms from spectral rasters also confirm that quiet-Sun spicules originate in bushes from the magnetic network. Our results suggest that type II spicules are indeed the site of vigorous heating (to at least transition region temperatures) along extensive parts of the upward moving spicular plasma.

  2. Regional Systems Development for Geothermal Energy Resources...

    Open Energy Info (EERE)

    Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Regional Systems Development for Geothermal Energy Resources Pacific Region (California and Hawaii)....

  3. Clean Cities Regional Support & Petroleum Displacement Awards...

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

    Regional Support & Petroleum Displacement Awards Clean Cities Regional Support & Petroleum Displacement Awards 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual...

  4. Texas State Planning Region 3 Report of Regional Transportation Coordination

    E-Print Network [OSTI]

    Nortex Regional Planning Commission

    2006-12-01T23:59:59.000Z

    of the 24 regions studying public transportation in their area was charged with assessing Barriers, Constraints and Best Practices in public transportation. This Coordination Committee addressed this issue with enthusiasm, generating significant topics...DOT requirement that all vehicles be ADA compliant, Medicaid restrictions and Insurance as significant barriers to public transportation. Best practices included sharing of information regarding this project through publication in rural newspapers, inter...

  5. Genomic Imprinting Variations in the Mouse Type 3 Deiodinase Gene Between Tissues and Brain Regions

    E-Print Network [OSTI]

    Martinez, M. Elena; Charalambous, Marika; Saferali, Aabida; Fiering, Steven; Naumova, Anna K.; St. Germain, Donald; Ferguson-Smith, Anne C.; Hernandez, Arturo

    2014-09-18T23:59:59.000Z

    following the manufacturers di- rections (TKT4 and TKT3 from Siemens, Washington, DC). Serum TSH was determined by RIA as previously described (9). DNA and RNA isolation and Northern and Southern analysis Total RNA and poly (A#3;) RNA were isolated from...

  6. Constraining the abundances of complex organics in the inner regions of solar-type protostars

    E-Print Network [OSTI]

    Taquet, Vianney; Ceccarelli, Cecilia; Neri, Roberto; Kahane, Claudine; Charnley, Steven B

    2015-01-01T23:59:59.000Z

    The high abundances of Complex Organic Molecules (COMs) with respect to methanol, the most abundant COM, detected towards low-mass protostars, tend to be underpredicted by astrochemical models. This discrepancy might come from the large beam of the single-dish telescopes, encompassing several components of the studied protostar, commonly used to detect COMs. To address this issue, we have carried out multi-line observations of methanol and several COMs towards the two low-mass protostars NGC1333-IRAS2A and -IRAS4A with the Plateau de Bure interferometer at an angular resolution of 2 arcsec, resulting in the first multi-line detection of the O-bearing species glycolaldehyde and ethanol and of the N-bearing species ethyl cyanide towards low-mass protostars other than IRAS 16293. The high number of detected transitions from COMs (more than 40 methanol transitions for instance) allowed us to accurately derive the source size of their emission and the COMs column densities. The COMs abundances with respect to meth...

  7. Spectropolarimetry and the Geometry of Type 1 Seyfert Nuclei

    E-Print Network [OSTI]

    Andy Robinson; David J. Axon; James E. Smith

    2002-11-11T23:59:59.000Z

    We describe the results of a detailed study of the polarization properties of the broad H-alpha emission line in Type 1 Seyfert nuclei. Our analysis of these data points to a model in which the broad Balmer lines are emitted by a rotating disk, and are scattered in two main regions - one co-planar with the disk and within the circum-nuclear torus, the other, the polar scattering region, outside the torus but aligned with its axis. The relative importance of the two sources of polarized light is largely determined by the inclination of the system axis to the line-of-sight.

  8. Regional Slip Tendency Analysis of the Great Basin Region

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

    Faulds, James E.

    - The resulting along?fault and fault?to?fault variation in slip or dilation potential is a proxy for along fault and fault?to?fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson?Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike?slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527 representative of the region. Results: The results of our slip and dilation tendency analysis are shown in Figures 4 (dilation tendency), 5 (slip tendency) and 6 (slip tendency + dilation tendency). Shmin varies from northwest to east?west trending throughout much of the Great Basin. As such, north? to northeast?striking faults have the highest tendency to slip and to dilate, depending on the local trend of shmin. These results provide a first order filter on faults and fault systems in the Great Basin, affording focusing of local?scale exploration efforts for blind or hidden geothermal resources.

  9. New approaches for modeling type Ia supernovae

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

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

  10. Wide Area Security Region Final Report

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Lu, Shuai; Guo, Xinxin; Gronquist, James; Du, Pengwei; Nguyen, Tony B.; Burns, J. W.

    2010-03-31T23:59:59.000Z

    This report develops innovative and efficient methodologies and practical procedures to determine the wide-area security region of a power system, which take into consideration all types of system constraints including thermal, voltage, voltage stability, transient and potentially oscillatory stability limits in the system. The approach expands the idea of transmission system nomograms to a multidimensional case, involving multiple system limits and parameters such as transmission path constraints, zonal generation or load, etc., considered concurrently. The security region boundary is represented using its piecewise approximation with the help of linear inequalities (so called hyperplanes) in a multi-dimensional space, consisting of system parameters that are critical for security analyses. The goal of this approximation is to find a minimum set of hyperplanes that describe the boundary with a given accuracy. Methodologies are also developed to use the security hyperplanes, pre-calculated offline, to determine system security margins in real-time system operations, to identify weak elements in the system, and to calculate key contributing factors and sensitivities to determine the best system controls in real time and to assist in developing remedial actions and transmission system enhancements offline . A prototype program that automates the simulation procedures used to build the set of security hyperplanes has also been developed. The program makes it convenient to update the set of security hyperplanes necessitated by changes in system configurations. A prototype operational tool that uses the security hyperplanes to assess security margins and to calculate optimal control directions in real time has been built to demonstrate the project success. Numerical simulations have been conducted using the full-size Western Electricity Coordinating Council (WECC) system model, and they clearly demonstrated the feasibility and the effectiveness of the developed technology. Recommendations for the future work have also been formulated.

  11. Southeast Regional Carbon Sequestration Partnership

    SciTech Connect (OSTI)

    Kenneth J. Nemeth

    2006-08-30T23:59:59.000Z

    The Southeast Regional Carbon Sequestration Partnership's (SECARB) Phase I program focused on promoting the development of a framework and infrastructure necessary for the validation and commercial deployment of carbon sequestration technologies. The SECARB program, and its subsequent phases, directly support the Global Climate Change Initiative's goal of reducing greenhouse gas intensity by 18 percent by the year 2012. Work during the project's two-year period was conducted within a ''Task Responsibility Matrix''. The SECARB team was successful in accomplishing its tasks to define the geographic boundaries of the region; characterize the region; identify and address issues for technology deployment; develop public involvement and education mechanisms; identify the most promising capture, sequestration, and transport options; and prepare action plans for implementation and technology validation activity. Milestones accomplished during Phase I of the project are listed below: (1) Completed preliminary identification of geographic boundaries for the study (FY04, Quarter 1); (2) Completed initial inventory of major sources and sinks for the region (FY04, Quarter 2); (3) Completed initial development of plans for GIS (FY04, Quarter 3); (4) Completed preliminary action plan and assessment for overcoming public perception issues (FY04, Quarter 4); (5) Assessed safety, regulatory and permitting issues (FY05, Quarter 1); (6) Finalized inventory of major sources/sinks and refined GIS algorithms (FY05, Quarter 2); (7) Refined public involvement and education mechanisms in support of technology development options (FY05, Quarter 3); and (8) Identified the most promising capture, sequestration and transport options and prepared action plans (FY05, Quarter 4).

  12. Developing a Regional Recovery Framework

    SciTech Connect (OSTI)

    Lesperance, Ann M.; Olson, Jarrod; Stein, Steven L.; Clark, Rebecca; Kelly, Heather; Sheline, Jim; Tietje, Grant; Williamson, Mark; Woodcock, Jody

    2011-09-01T23:59:59.000Z

    Abstract A biological attack would present an unprecedented challenge for local, state, and federal agencies; the military; the private sector; and individuals on many fronts ranging from vaccination and treatment to prioritization of cleanup actions to waste disposal. To prepare the Seattle region to recover from a biological attack, the Seattle Urban Area Security Initiative (UASI) partners collaborated with military and federal agencies to develop a Regional Recovery Framework for a Biological Attack in the Seattle Urban Area. The goal was to reduce the time and resources required to recover and restore wide urban areas, military installations, and other critical infrastructure following a biological incident by providing a coordinated systems approach. Based on discussions in small workshops, tabletop exercises, and interviews with emergency response agency staff, the partners identified concepts of operation for various areas to address critical issues the region will face as recovery progresses. Key to this recovery is the recovery of the economy. Although the Framework is specific to a catastrophic, wide-area biological attack using anthrax, it was designed to be flexible and scalable so it could also serve as the recovery framework for an all-hazards approach. The Framework also served to coalesce policy questions that must be addressed for long-term recovery. These questions cover such areas as safety and health, security, financial management, waste management, legal issues, and economic development.

  13. Regular Type III and Type N Approximate Solutions

    E-Print Network [OSTI]

    Philip Downes; Paul MacAllevey; Bogdan Nita; Ivor Robinson

    2001-05-18T23:59:59.000Z

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

  14. P-type gallium nitride

    DOE Patents [OSTI]

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

    1997-01-01T23:59:59.000Z

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

  15. P-type gallium nitride

    DOE Patents [OSTI]

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

    1997-08-12T23:59:59.000Z

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

  16. West Central Texas Regional Transportation Final Report 

    E-Print Network [OSTI]

    West Central Texas Council of Governments

    2006-01-01T23:59:59.000Z

    WEST CENTRAL TEXAS REGIONAL REGIONAL TRANSPORTATION TRANSPORTATION FINAL REPORT NOVEMBER 2006 West Central Texas Regional Transit Coordination Plan Final Report and Executive Summary November 2006 A&R Consulting The Goodman... Workshops 177 Appendix C - Public Meetings 183 West Central Texas Regional Transit Coordination Plan Final Report and Executive Summary November 2006 A&R Consulting The Goodman Corporation November 2006 3 EXECUTIVE SUMMARY...

  17. Aerosol remote sensing in polar regions

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

    Tomasi, C.; Wagener, R.; Kokhanovsky, A. A.; Lupi, A.; Ritter, C.; Smirnov, A.; O Neill, N. T.; Stone, R. S.; Holben, B. N.; Nyeki, S.; Wehrli, C.; Stohl, A.; Mazzola, M.; Lanconelli, C.; Vitale, V.; Stebel, K.; Aaltonen, V.; de Leeuw, G.; Rodriguez, E.; Herber, A. B.; Radionov, V. F.; Zielinski, T.; Petelski, T.; Sakerin, S. M.; Kabanov, D. M.; Xue, Y.; Mei, L.; Istomina, L.; Wagener, R.; McArthur, B.; Sobolewski, P. S.; Kivi, R.; Courcoux, Y.; Larouche, P.; Broccardo, S.; Piketh, S. J.

    2015-01-01T23:59:59.000Z

    Multi-year sets of ground-based sun-photometer measurements conducted at 12 Arctic sites and 9 Antarctic sites were examined to determine daily mean values of aerosol optical thickness ?(?) at visible and near-infrared wavelengths, from which best-fit values of Ångström's exponent ? were calculated. Analysing these data, the monthly mean values of ?(0.50 ?m) and ? and the relative frequency histograms of the daily mean values of both parameters were determined for winter–spring and summer–autumn in the Arctic and for austral summer in Antarctica. The Arctic and Antarctic covariance plots of the seasonal median values of ? versus ?(0.50 ?m) showed: (i) a considerable increase in ?(0.50 ?m) for the Arctic aerosol from summer to winter–spring, without marked changes in ?; and (ii) a marked increase in ?(0.50 ?m) passing from the Antarctic Plateau to coastal sites, whereas ? decreased considerably due to the larger fraction of sea-salt aerosol. Good agreement was found when comparing ground-based sun-photometer measurements of ?(?) and ? at Arctic and Antarctic coastal sites with Microtops measurements conducted during numerous AERONET/MAN cruises from 2006 to 2013 in three Arctic Ocean sectors and in coastal and off-shore regions of the Southern Atlantic, Pacific, and Indian Oceans, and the Antarctic Peninsula. Lidar measurements were also examined to characterise vertical profiles of the aerosol backscattering coefficient measured throughout the year at Ny-Ålesund. Satellite-based MODIS, MISR, and AATSR retrievals of ?(?) over large parts of the oceanic polar regions during spring and summer were in close agreement with ship-borne and coastal ground-based sun-photometer measurements. An overview of the chemical composition of mode particles is also presented, based on in-situ measurements at Arctic and Antarctic sites. Fourteen log-normal aerosol number size-distributions were defined to represent the average features of nuclei, accumulation and coarse mode particles for Arctic haze, summer background aerosol, Asian dust and boreal forest fire smoke, and for various background austral summer aerosol types at coastal and high-altitude Antarctic sites. The main columnar aerosol optical characteristics were determined for all 14 particle modes, based on in-situ measurements of the scattering and absorption coefficients. Diurnally averaged direct aerosol-induced radiative forcing and efficiency were calculated for a set of multimodal aerosol extinction models, using various Bidirectional Reflectance Distribution Function models over vegetation-covered, oceanic and snow-covered surfaces. These gave a reliable measure of the pronounced effects of aerosols on the radiation balance of the surface–atmosphere system over polar regions.

  18. Aerosol remote sensing in polar regions

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

    Tomasi, C.; Wagener, R.; Kokhanovsky, A. A.; Lupi, A.; Ritter, C.; Smirnov, A.; O Neill, N. T.; Stone, R. S.; Holben, B. N.; Nyeki, S.; et al

    2015-01-01T23:59:59.000Z

    Multi-year sets of ground-based sun-photometer measurements conducted at 12 Arctic sites and 9 Antarctic sites were examined to determine daily mean values of aerosol optical thickness ?(?) at visible and near-infrared wavelengths, from which best-fit values of Ångström's exponent ? were calculated. Analysing these data, the monthly mean values of ?(0.50 ?m) and ? and the relative frequency histograms of the daily mean values of both parameters were determined for winter–spring and summer–autumn in the Arctic and for austral summer in Antarctica. The Arctic and Antarctic covariance plots of the seasonal median values of ? versus ?(0.50 ?m) showed: (i)more »a considerable increase in ?(0.50 ?m) for the Arctic aerosol from summer to winter–spring, without marked changes in ?; and (ii) a marked increase in ?(0.50 ?m) passing from the Antarctic Plateau to coastal sites, whereas ? decreased considerably due to the larger fraction of sea-salt aerosol. Good agreement was found when comparing ground-based sun-photometer measurements of ?(?) and ? at Arctic and Antarctic coastal sites with Microtops measurements conducted during numerous AERONET/MAN cruises from 2006 to 2013 in three Arctic Ocean sectors and in coastal and off-shore regions of the Southern Atlantic, Pacific, and Indian Oceans, and the Antarctic Peninsula. Lidar measurements were also examined to characterise vertical profiles of the aerosol backscattering coefficient measured throughout the year at Ny-Ålesund. Satellite-based MODIS, MISR, and AATSR retrievals of ?(?) over large parts of the oceanic polar regions during spring and summer were in close agreement with ship-borne and coastal ground-based sun-photometer measurements. An overview of the chemical composition of mode particles is also presented, based on in-situ measurements at Arctic and Antarctic sites. Fourteen log-normal aerosol number size-distributions were defined to represent the average features of nuclei, accumulation and coarse mode particles for Arctic haze, summer background aerosol, Asian dust and boreal forest fire smoke, and for various background austral summer aerosol types at coastal and high-altitude Antarctic sites. The main columnar aerosol optical characteristics were determined for all 14 particle modes, based on in-situ measurements of the scattering and absorption coefficients. Diurnally averaged direct aerosol-induced radiative forcing and efficiency were calculated for a set of multimodal aerosol extinction models, using various Bidirectional Reflectance Distribution Function models over vegetation-covered, oceanic and snow-covered surfaces. These gave a reliable measure of the pronounced effects of aerosols on the radiation balance of the surface–atmosphere system over polar regions.« less

  19. THE CONNECTION OF TYPE II SPICULES TO THE CORONA

    SciTech Connect (OSTI)

    Judge, Philip G.; McIntosh, Scott W. [High Altitude Observatory, National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307-3000 (United States); De Pontieu, Bart [Lockheed Martin Solar and Astrophysics Laboratory, 3251 Hanover Street, Org. A021S, Building 252, Palo Alto, CA 94304 (United States); Olluri, Kosovare [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, N-0315 Oslo (Norway)

    2012-02-20T23:59:59.000Z

    We examine the hypothesis that plasma associated with 'Type II' spicules is heated to coronal temperatures, and that the upward moving hot plasma constitutes a significant mass supply to the solar corona. One-dimensional hydrodynamical models including time-dependent ionization are brought to bear on the problem. These calculations indicate that heating of field-aligned spicule flows should produce significant differential Doppler shifts between emission lines formed in the chromosphere, transition region, and corona. At present, observational evidence for the computed 60-90 km s{sup -1} differential shifts is weak, but the data are limited by difficulties in comparing the proper motion of Type II spicules with spectral and kinematic properties of an associated transition region and coronal emission lines. Future observations with the upcoming infrared interferometer spectrometer instrument should clarify if Doppler shifts are consistent with the dynamics modeled here.

  20. U.S. Energy Information Administration (EIA) - Pub

    Gasoline and Diesel Fuel Update (EIA)

    Annual Energy Outlook 2013 cases Appendix F: Regional Maps United States Census Divisions Electricity Market Module Regions Liquid Fuels Market Module Regions Oil and Gas Supply...

  1. Development of large flow-type proportional counters

    E-Print Network [OSTI]

    Torline, Norbert Kevin

    1967-01-01T23:59:59.000Z

    . . )2 13 ~ The minimum efficiency observed in the region of overlap of the proportional counters as a function of the amount of 1'k. Details of the installation of Kovar seal and tungsten wire. . . . . . . . . . . . . . . )8 vii LXST OF TABLES... proportional counters: (i) All counters are of the continuous gas flow-type a- described in the thesis by K. ~&!. Bull. 2 (2) All counters were constructed with brass cathodes and tungsten wire anodes, with bras" end plates and Kovar seal anode leads...

  2. Regional Slip Tendency Analysis of the Great Basin Region

    SciTech Connect (OSTI)

    Faulds, James E.

    2013-09-30T23:59:59.000Z

    Slip and dilation tendency on the Great Basin fault surfaces (from the USGS Quaternary Fault Database) were calculated using 3DStress (software produced by Southwest Research Institute). Slip and dilation tendency are both unitless ratios of the resolved stresses applied to the fault plane by the measured ambient stress field. - Values range from a maximum of 1 (a fault plane ideally oriented to slip or dilate under ambient stress conditions) to zero (a fault plane with no potential to slip or dilate). - Slip and dilation tendency values were calculated for each fault in the Great Basin. As dip is unknown for many faults in the USGS Quaternary Fault Database, we made these calculations using the dip for each fault that would yield the maximum slip or dilation tendency. As such, these results should be viewed as maximum slip and dilation tendency. - The resulting along?fault and fault?to?fault variation in slip or dilation potential is a proxy for along fault and fault?to?fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson?Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike?slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527 representative of the region. Results: The results of our slip and dilation tendency analysis are shown in Figures 4 (dilation tendency), 5 (slip tendency) and 6 (slip tendency + dilation tendency). Shmin varies from northwest to east?west trending throughout much of the Great Basin. As such, north? to northeast?striking faults have the highest tendency to slip and to dilate, depending on the local trend of shmin. These results provide a first order filter on faults and fault systems in the Great Basin, affording focusing of local?scale exploration efforts for blind or hidden geothermal resources.

  3. The obscured circumnuclear region of NGC 3079

    E-Print Network [OSTI]

    F. P. Israel; P. P. van der Werf; T. G. Hawarden; C. Aspin

    1998-06-18T23:59:59.000Z

    Images in the J, H and K bands and in the the v=1-0 S(1) line of H2 of the central region of the almost edge-on galaxy NGC 3079 reveal contributions from direct and scattered starlight, emission from hot dust and molecular gas, and extinction gradients. The central 100 pc suffers an extinction of 6 mag. Extremely red near-infrared colours require the presence of hot dust at about 1000 K. Less reddened parts of the bulge require either a 20% J-band contribution from young stars in a stellar bar, or a 20-30% contribution from scattered stellar light. The nucleus is surrounded by a dense molecular disk of radius 300 pc. Emission from H2 and hot dust traces a cavity of radius 120 pc. In the central few hundred pc, HI spin temperatures must be less than 275 K and the CO-to_H2 conversion factor is at most 5% of the standard Galactic value. This is consistent with theoretical predictions for environments subjected to dissociative shocks, where reformation of H2 is impeded by high dust grain temperatures. The overall molecular gas content of NGC 3079 is normal for a late-type galaxy.

  4. Geothermal Regions | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpen EnergyInformation|Regions

  5. Health and water quality monitoring of Pure Home Water's ceramic filter dissemination in the northern region of Ghana

    E-Print Network [OSTI]

    Johnson, Sophie M. (Sophie Marie)

    2007-01-01T23:59:59.000Z

    Pure Home Water (PHW) is a social enterprise that promotes and disseminates household drinking water technologies in the Northern Region of Ghana. Currently their main product is a pot-shaped Potters for Peace-type ceramic ...

  6. Cooperative monitoring of regional security agreements

    SciTech Connect (OSTI)

    Pregenzer, A.L.; Vannoni, M.; Biringer, K.L. [Sandia National Labs., Albuquerque, NM (United States). Nonproliferation and Arms Control Analysis Dept.

    1996-11-01T23:59:59.000Z

    This paper argues that cooperative monitoring plays a critical role in the implementation of regional security agreements and confidence building measures. A framework for developing cooperative monitoring options is proposed and several possibilities for relating bilateral and regional monitoring systems to international monitoring systems are discussed. Three bilateral or regional agreements are analyzed briefly to illustrate different possibilities. These examples illustrate that the relationship of regional or bilateral arms control or security agreements to international agreements depends on a number of factors: the overlap of provisions between regional and international agreements; the degree of interest in a regional agreement among the international community; efficiency in implementing the agreement; and numerous political considerations. Given the importance of regional security to the international community, regions should be encouraged to develop their own infrastructure for implementing regional arms control and other security agreements. A regional infrastructure need not preclude participation in an international regime. On the contrary, establishing regional institutions for arms control and nonproliferation could result in more proactive participation of regional parties in developing solutions for regional and international problems, thereby strengthening existing and future international regimes. Possible first steps for strengthening regional infrastructures are identified and potential technical requirements are discussed.

  7. On the Form of the HII Region Luminosity Function

    E-Print Network [OSTI]

    M. S. Oey; C. J. Clarke

    1997-12-11T23:59:59.000Z

    Observed variations in the HII region luminosity function (HII LF) seen in spiral arm vs. interarm regions, and different galactic Hubble type, can be explained simply by evolutionary effects and maximum number of ionizing stars per cluster. We present Monte Carlo simulations of the HII LF, drawing the number of ionizing stars N_* from a power-law distribution of constant slope, and the stellar masses from a Salpeter IMF with an upper-mass limit of 100 M_sol. We investigate the evolution of the HII LF, as determined by stellar main-sequence lifetimes and ionizing luminosities, for a single burst case and continuous creation of the nebular population. Shallower HII LF slopes measured for the arms of spiral galaxies can be explained as a composite slope, expected for a zero-age burst population, whereas the interarm regions tend to be dominated by evolved rich clusters described by a single, steeper slope. Steeper slopes in earlier-type galaxies can be explained simply by a lower maximum N_* cutoff found for the parent OB associations. The form of the HII LF can reveal features of the most recent (~< 10 Myr) star formation history in nearby galaxies.

  8. http://2010.census.gov/2010census/data/apportionment-dens-text.

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe InteriorWaterhepf |0/%2A

  9. Type Ia Supernova Explosion Models

    E-Print Network [OSTI]

    W. Hillebrandt; J. C. Niemeyer

    2000-06-21T23:59:59.000Z

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

  10. FACTORS AFFECTING THE SUSTAINABILITY OF RURAL WATER SUPPLY SYSTEMS: THE CASE OF MECHA WOREDA, AMHARA REGION, ETHIOPIA

    E-Print Network [OSTI]

    Walter, M.Todd

    , AMHARA REGION, ETHIOPIA A Project Paper Presented to the Faculty of the Graduate School of Cornell that these systems are not working. The MechaWoreda, in Amhara Region, Ethiopia was chosen. These types of wells, 1983 in Debre Markos, Ethiopia. He received his diploma from Gondar College of teachers' education

  11. Enhancing regional security agreements through cooperative monitoring

    SciTech Connect (OSTI)

    Pregenzer, A.L.

    1995-05-01T23:59:59.000Z

    This paper proposes that strengthening regional capabilities for formulating and implementing arms control and confidence-building measures is a tangible method of enhancing regional security. It discusses the importance of developing a regional infrastructure for arms control and confidence building and elucidates the role of technology in facilitating regional arms control and confidence-building agreements. In addition, it identifies numerous applications for regional cooperative monitoring in the areas of arms control, resource management, international commerce and disaster response. The Cooperative Monitoring Center at Sandia National Laboratories, whose aim is to help individual countries and regions acquire the tools they need to develop their own solutions to regional problems, is discussed briefly. The paper ends with recommendations for establishing regional cooperative monitoring centers.

  12. REALIZATION OF THE REGIONAL ADVANTAGEOUS AGRICULTURAL

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    REALIZATION OF THE REGIONAL ADVANTAGEOUS AGRICULTURAL INDUSTRIES ANALYSIS SYSTEM Kaimeng Sun Institute of Agricultural Information, Chinese Academy of Agricultural Sciences, Beijing,P. R. China 100081 Abstract: In this paper, a system for analyzing the strategic adjustment of regional agricultural

  13. DC High School Science Bowl Regionals

    Broader source: Energy.gov [DOE]

    This event is the Washington, D.C. High School Regional competition for the US National Science Bowl. The regional competition is run by the Office of Economic Impact and Diversity, and the...

  14. Regional Revolving Loan Trust Fund (New York)

    Broader source: Energy.gov [DOE]

    The Regional Revolving Loan Trust Fund Program, coordinated by the Empire State Development program, is operated in six regions by nonprofit organizations and provides working capital loans (up to ...

  15. Transition region features observed with Hinode/EIS

    E-Print Network [OSTI]

    P. R. Young; G. Del Zanna; H. E. Mason; G. A. Doschek; J. L. Culhane; H. Hara

    2007-08-14T23:59:59.000Z

    Two types of active region feature prominent at transition region temperatures are identified in Hinode/EIS data of AR 10938 taken on 2007 January 20. The footpoints of 1 MK TRACE loops are shown to emit strongly in emission lines formed at log T=5.4-5.8, allowing the temperature increase along the footpoints to be clearly seen. A density diagnostic of Mg VII yields the density in the footpoints, with one loop showing a decrease from 3x10^9 cm^-3 at the base to 1.5x10^9 cm^-3 at a projected height of 20 Mm. The second feature is a compact active region transition region brightening which is particularly intense in O V emission (log T=5.4) but also has a signature at temperatures up to log T=6.3. The Mg VII diagnostic gives a density of 4x10^10 cm^-3, and emission lines of Mg VI and Mg VII show line profiles broadened by 50 km/s and wings extending beyond 200 km/s. Continuum emission in the short wavelength band is also found to be enhanced, and is suggested to be free-bound emission from recombination onto He^+.

  16. Sandia National Laboratories: Photovoltaic Regional Testing Center...

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

    Grid Integration, Modeling, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Photovoltaic Regional Testing Center (PV RTC), Photovoltaic Systems Evaluation...

  17. 6, 1092910958, 2006 Regional scale CO2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ACPD 6, 10929­10958, 2006 Regional scale CO2 flux estimation using radon A. I. Hirsch Title Page Chemistry and Physics Discussions On using radon-222 and CO2 to calculate regional-scale CO2 fluxes A. I (Adam.Hirsch@noaa.gov) 10929 #12;ACPD 6, 10929­10958, 2006 Regional scale CO2 flux estimation using

  18. Biochar and Carbon Sequestration: A Regional Perspective

    E-Print Network [OSTI]

    Everest, Graham R

    Biochar and Carbon Sequestration: A Regional Perspective A report prepared for East of England #12;Low Carbon Innovation Centre Report for EEDA Biochar and Carbon Sequestration: A Regional Perspective 20/04/2009 ii Biochar and Carbon Sequestration: A Regional Perspective A report prepared for East

  19. Segmentation into fuzzy regions using topographic distance

    E-Print Network [OSTI]

    Philipp-Foliguet, Sylvie

    recognition from fuzzy regions. Keywords: Segmentation, Fuzzy region, Watershed, Color image, TopographicSegmentation into fuzzy regions using topographic distance SYLVIE PHILIPP­FOLIGUET 1 MARCELO@dcc.ufmg.br, arnaldo@dcc.ufmg.br 3 Supported by CAPES. Abstract. This paper exposes an algorithm that leads to a fuzzy

  20. First 450-micron dust continuum mapping of the massive star-forming region NGC 3576 with the P-ArTeMiS bolometer camera

    E-Print Network [OSTI]

    P. André; V. Minier; P. Gallais; V. Reveret; J. Le Pennec; L. Rodriguez; O. Boulade; E. Doumayrou; D. Dubreuil; M. Lortholary; J. Martignac; M. Talvard; C. De Breuck; G. Hamon; N. Schneider; S. Bontemps; P. O. Lagage; E. Pantin; H. Roussel; M. Miller; C. R. Purcell; T. Hill; J. Stutzki

    2008-09-23T23:59:59.000Z

    Context: The earliest phases of massive star formation are currently much debated. Aims. In an effort to make progress, we took a census of Class0-like protostellar dense cores in the NGC 3576 region, one of the nearest and most luminous embedded sites of high-mass star formation in the Galaxy. Methods: We used the P-ArTeMiS bolometer camera on the APEX telescope to produce the first 450-micron dust continuum map of the filamentary dense clump associated with NGC 3576. Results: Combining our 450-micron observations with existing data at other wavelengths, we have identified seven massive protostellar sources along the NGC 3576 filament and placed them in the M_env - L_bol evolutionary diagram for protostars. Conclusions: Comparison with theoretical evolutionary tracks suggests that these seven protostellar sources will evolve into massive stars with masses M* ~ 15-50 Msun. Four sources are classified as candidate high-mass Class 0 objects, two sources as massive Class I objects, and one source appears to be at an intermediate stage.

  1. U.S. EPA Region 10 | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtle Airships JumpType B:7-15:Web Site: U.S. EPA Region 10

  2. U.S. EPA Region 9 | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga, IndianaTurtle Airships JumpType B:7-15:Web Site: U.S. EPA Region

  3. Cooperative monitoring of regional security agreements

    SciTech Connect (OSTI)

    Pregenzer, A.L.; Vannoni, M.; Biringer, K.L.

    1995-08-01T23:59:59.000Z

    This paper argues that cooperative monitoring plays a critical role in the implementation of regional security agreements and confidence building measures. A framework for developing cooperative monitoring options is proposed and several possibilities for relating bilateral and regional monitoring systems to international monitoring systems are discussed. Three bilateral or regional agreements are analyzed briefly to illustrate different possibilities: (1) the demilitarization of the Sinai region between Israel and Egypt in the 1970s; (2) the 1991 quadripartite agreement for monitoring nuclear facilities among Brazil, Argentina, The Argentine-Brazilian Agency for Accounting and Control of Nuclear Materials and the International Atomic Energy Agency; and (3) a bilateral Open Skies agreement between Hungary and Romania in 1991. These examples illustrate that the relationship of regional or bilateral arms control or security agreements to international agreements depends on a number of factors: the overlap of provisions between regional and international agreements; the degree of interest in a regional agreement among the international community; efficiency in implementing the agreement; and numerous political considerations.Given the importance of regional security to the international community, regions should be encouraged to develop their own infrastructure for implementing regional arms control and other security agreements. A regional infrastructure need not preclude participation in an international regime. On the contrary, establishing regional institutions for arms control and nonproliferation could result in more proactive participation of regional parties in developing solutions for regional and international problems, thereby strengthening existing and future international regimes. Possible first steps for strengthening regional infrastructures are identified and potential technical requirements are discussed.

  4. Securing non-volatile memory regions

    DOE Patents [OSTI]

    Faraboschi, Paolo; Ranganathan, Parthasarathy; Muralimanohar, Naveen

    2013-08-20T23:59:59.000Z

    Methods, apparatus and articles of manufacture to secure non-volatile memory regions are disclosed. An example method disclosed herein comprises associating a first key pair and a second key pair different than the first key pair with a process, using the first key pair to secure a first region of a non-volatile memory for the process, and using the second key pair to secure a second region of the non-volatile memory for the same process, the second region being different than the first region.

  5. Automatic Utterance Type Detection Using Suprasegmental Features 

    E-Print Network [OSTI]

    Wright, Helen

    that different types of utterances have different suprasegmental characteristics. The categorisation of these utterance types is based on the theory of conversation games and consists of 12 move types (e.g. reply to a question, wh-question, acknowledgement...

  6. A Catalogue of M51 type Galaxy Associations

    E-Print Network [OSTI]

    Ari Jokimaki; Harley "Skip" Orr; David G. Russell

    2008-05-10T23:59:59.000Z

    A catalog of 232 apparently interacting galaxy pairs of the M51 class is presented. Catalog members were identified from visual inspection of mult-band images in the IRSA archive. The major findings in the compilation of this catalog are (1) A surprisingly low number of the main galaxies in M51 systems are early type spirals and barred spirals. (2) Over 70% of the main galaxies in M51 systems are 2-armed spirals. (3) Some systems that were classified as M51 types in previous studies are not M51 types as defined in this catalog. There were a number of systems previously classified as M51 systems for which the companion is identified as an HII region within the main galaxy or a foreground star within the Milky Way. (4) It was found that only 18% of the M51 type companions have redshift measurements in the literature. There is a significant need for spectroscopic study of the companions in order to improve the value of the catalog as a sample for studying the effects of M51 type interaction on galaxy dynamics, morphology, and star formation. Further spectroscopy will also help constrain the statistics of possible chance projections between foreground and background galaxies in this catalog. The catalog also contains over 430 additional systems which are classified as "possible M51" systems. The reasons for classifying certain systems as possible M51 systems are discussed.

  7. Axion inflation in type II string theory

    SciTech Connect (OSTI)

    Grimm, Thomas W. [Physikalisches Institut der Universitaet Bonn, Nussallee 12, 53115 Bonn (Germany) and Department of Physics, University of Wisconsin, Madison, WI 53706 (United States)

    2008-06-15T23:59:59.000Z

    Inflationary models driven by a large number of axion fields are discussed in the context of type IIB compactifications with N=1 supersymmetry. The inflatons arise as the scalar modes of the R-R two-forms evaluated on vanishing two-cycles in the compact geometry. The vanishing cycles are resolved by small two-volumes or NS-NS B fields which sit together with the inflatons in the same supermultiplets. String world sheets wrapping the vanishing cycles correct the metric of the R-R inflatons. They can help to generate kinetic terms close to the Planck scale and a mass hierarchy between the axions and their nonaxionic partners during inflation. At small string coupling, D-brane corrections are subleading in the metric of the R-R inflatons. However, an axion potential can be generated by D1 instantons or gaugino condensates on D5-branes. Models with a sufficiently large number of axions admit regions of chaotic inflation which can stretch over the whole axion field range for potentials from gaugino condensates. These models could allow for a possibly detectable amount of gravitational waves with tensor to scalar ratio as high as r<0.14.

  8. Northwest Regional Technology Center, March 2013 Page 1 of 2 Around The Region In Homeland Security

    E-Print Network [OSTI]

    to homeland security in the region, and this issue highlights Puget Sound Regional Blue Force Tracking Puget Sound Regional Blue Force Tracking Initiative The Puget Sound Regional Blue Force Tracking (BFTS the Puget Sound Area Maritime Security Committee Area of Responsibility. As part of the Initiative

  9. Emitting gas regions in Mrk 493: An extensive Fe II line emission region

    E-Print Network [OSTI]

    L. C. Popovic; A. Smirnova; D. Ilic; A. Moiseev; J. Kovacevic; V. Afanasiev

    2007-01-24T23:59:59.000Z

    We performed 3D spectroscopic observations of Mrk 493 in order to investigate the Fe II emitting region and their possible connection with the Hydrogen emitting region. We found that there is a strong Fe II emission in an extensive region ~ 4" x 4" around Sy 1 nucleus. The Fe II line width indicates that these lines are originated in an intermediate line region.

  10. Tridiagonal pairs of Krawtchouk type

    E-Print Network [OSTI]

    Ito, Tatsuro

    2007-01-01T23:59:59.000Z

    Let $K$ denote an algebraically closed field with characteristic 0 and let $V$ denote a vector space over $K$ with finite positive dimension. Let $A,A^*$ denote a tridiagonal pair on $V$ with diameter $d$. We say that $A,A^*$ has Krawtchouk type whenever the sequence $\\lbrace d-2i\\rbrace_{i=0}^d$ is a standard ordering of the eigenvalues of $A$ and a standard ordering of the eigenvalues of $A^*$. Assume $A,A^*$ has Krawtchouk type. We show that there exists a nondegenerate symmetric bilinear form $$ on $V$ such that $= $ and $= $ for $u,v\\in V$. We show that the following tridiagonal pairs are isomorphic: (i) $A,A^*$; (ii) $-A,-A^*$; (iii) $A^*,A$; (iv) $-A^*,-A$. We give a number of related results and conjectures.

  11. Abstract DNA-type systems

    E-Print Network [OSTI]

    Diederik Aerts; Marek Czachor

    2005-12-22T23:59:59.000Z

    An abstract DNA-type system is defined by a set of nonlinear kinetic equations with polynomial nonlinearities that admit soliton solutions associated with helical geometry. The set of equations allows for two different Lax representations: A von Neumann form and a Darboux-covariant Lax pair. We explain why non-Kolmogorovian probability models occurring in soliton kinetics are naturally associated with chemical reactions. The most general known characterization of soliton kinetic equations is given and a class of explicit soliton solutions is discussed. Switching between open and closed states is a generic behaviour of the helices. The effect does not crucially depend on the order of nonlinearity (i.e. types of reactions), a fact that may explain why simplified models possess properties occuring in realistic systems. We explain also why fluctuations based on Darboux transformations will not destroy the dynamics but only switch between a finite number of helical structures.

  12. Niger Delta play types, Nigeria

    SciTech Connect (OSTI)

    Akinpelu, A.O. [Chevron Nigeria Limited, Lagos (Nigeria)

    1995-08-01T23:59:59.000Z

    Exploration databases can be more valuable when sorted by play type. Play specific databases provide a system to organize E & P data used in evaluating the range of values of parameters for reserve estimation and risk assessment. It is important both in focusing the knowledge base and in orienting research effort. A play in this context is any unique combination of trap, reservoir and source properties with the right dynamics of migration and preservation that results in hydrocarbon accumulation. This definitions helps us to discriminate the subtle differences found with these accumulation settings. About 20 play types were identified around the Niger Delta oil province in Nigeria. These are grouped into three parts: (1) The proven plays-constituting the bulk of exploration prospects in Nigeria today. (2) The unproven or semi-proven plays usually with some successes recorded in a few tries but where knowledge is still inadequate. (3) The unproven or analogous play concept. These are untested but geologically sound ideas which may or may not have been tried elsewhere. With classification and sub grouping of these play types into specific databases, intrinsic attributes and uniqueness of each of them with respect to the four major risk elements and the eight parameters for reserve estimation can be better understood.

  13. Radiation Hydrodynamical Evolution of Primordial H II Regions

    E-Print Network [OSTI]

    Daniel Whalen; Tom Abel; Michael L. Norman

    2004-03-02T23:59:59.000Z

    We simulate the ionization environment of z ~ 20 luminous objects formed within the framework of the current CDM cosmology and compute their UV escape fraction. These objects are likely single very massive stars that are copious UV emitters. We present analytical estimates as well as one--dimensional radiation hydrodynamical calculations of the evolution of these first HII regions in the universe. The initially D--type ionization front evolves to become R--type within $\\lesssim 10^5$ yrs at a distance $\\sim1$ pc. This ionization front then completely overruns the halo, accelerating an expanding shell of gas outward to velocities in excess of 30 km s$^{-1}$, about ten times the escape velocity of the confining dark matter halo. We find that the evolution of the HII region depends only weakly on the assumed stellar ionizing luminosities. Consequently, most of the gas surrounding the first stars will leave the dark halo whether or not the stars produce supernovae. If they form the first massive seed black holes these are unlikely to accrete within a Hubble time after they formed until they are incorporated into larger dark matter halos that contain more gas. Because these I--fronts exit the halo on timescales much shorter than the stars' main sequence lifetimes their host halos have UV escape fractions of $\\gtrsim 0.95$, fixing an important parameter for theoretical studies of cosmological hydrogen reionization.

  14. Velocity Dispersions Across Bulge Types

    SciTech Connect (OSTI)

    Fabricius, Maximilian; Bender, Ralf; Hopp, Ulrich [University Observatory of the Ludwig-Maximilians University (LMU) (Germany); Max-Planck Institute for Extraterrestrial Physics (MPE) (Germany); Saglia, Roberto; Drory, Niv [Max-Planck Institute for Extraterrestrial Physics (MPE) (Germany); Fisher, David [Department of Astronomy, University of Texas at Austin (United States)

    2010-06-08T23:59:59.000Z

    We present first results from a long-slit spectroscopic survey of bulge kinematics in local spiral galaxies. Our optical spectra were obtained at the Hobby-Eberly Telescope with the LRS spectrograph and have a velocity resolution of 45 km/s (sigma*), which allows us to resolve the velocity dispersions in the bulge regions of most objects in our sample. We find that the velocity dispersion profiles in morphological classical bulge galaxies are always centrally peaked while the velocity dispersion of morphologically disk-like bulges stays relatively flat towards the center--once strongly barred galaxies are discarded.

  15. hal00270574, Testing Data Types Implementations from

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    is data type abstraction, testing a concrete implementation raises the issue of the gap betweenhal­00270574, version 1 ­ 6 Apr 2008 Testing Data Types Implementations from Algebraic Speci#12.legall@ibisc.univ-evry.fr Abstract. Algebraic speci#12;cations of data types provide a natural basis for testing data types

  16. XML Document XML Document Types and Validation

    E-Print Network [OSTI]

    Weber, Gregory D.

    XML Document Types and Validation IIM-I340 Objectives XML Document Types and Validation IIM-I340 April, 2010 #12;XML Document Types and Validation IIM-I340 Objectives Learning Objectives Understand: The need for validation Two ways to specify validity: Document Type Definitions (DTDs) XML Schemas #12;XML

  17. SS 383: A NEW S-TYPE YELLOW SYMBIOTIC STAR?

    SciTech Connect (OSTI)

    Baella, N. O.; Pereira, C. B. [Observatório Nacional, Rua José Cristino 77, CEP 20921-400, São Cristóvão, Rio de Janeiro (Brazil); Miranda, L. F. [Departamento de Física Aplicada, Facultad de Ciencias, Universidad de Vigo, E-36310 Vigo (Spain)

    2013-11-01T23:59:59.000Z

    Symbiotic stars are key objects in understanding the formation and evolution of interacting binary systems, and are probably the progenitors of Type Ia supernovae. However, the number of known symbiotic stars is much lower than predicted. We aim to search for new symbiotic stars, with particular emphasis on the S-type yellow symbiotic stars, in order to determine their total population, evolutionary timescales, and physical properties. The Two Micron All Sky Survey (2MASS) (J – H) versus (H – K {sub s}) color-color diagram has been previously used to identify new symbiotic star candidates and show that yellow symbiotics are located in a particular region of that diagram. Candidate symbiotic stars are selected on the basis of their locus in the 2MASS (J – H) versus (H – K {sub s}) diagram and the presence of H? line emission in the Stephenson and Sanduleak H? survey. This diagram separates S-type yellow symbiotic stars from the rest of the S-type symbiotic stars, allowing us to select candidate yellow symbiotics. To establish the true nature of the candidates, intermediate-resolution spectroscopy is obtained. We have identified the H? emission line source SS 383 as an S-type yellow symbiotic candidate by its position in the 2MASS color-color diagram. The optical spectrum of SS 383 shows Balmer, He I, He II, and [O III] emission lines, in combination with TiO absorption bands that confirm its symbiotic nature. The derived electron density (?10{sup 8-9} cm{sup –3}), He I emission line intensity ratios, and position in the [O III] ?5007/H? versus [O III] ?4363/H? diagram indicate that SS 383 is an S-type symbiotic star, with a probable spectral type of K7-M0 deduced for its cool component based on TiO indices. The spectral type and the position of SS 383 (corrected for reddening) in the 2MASS color-color diagram strongly suggest that SS 383 is an S-type yellow symbiotic. Our result points out that the 2MASS color-color diagram is a powerful tool in identifying new S-type yellow symbiotics.

  18. Dynamo Saturation in Rapidly Rotating Solar-Type Stars

    E-Print Network [OSTI]

    Kitchatinov, L L

    2015-01-01T23:59:59.000Z

    The magnetic activity of solar-type stars generally increases with stellar rotation rate. The increase, however, saturates for fast rotation. The Babcock-Leighton mechanism of stellar dynamos saturates as well when the mean tilt-angle of active regions approaches ninety degrees. Saturation of magnetic activity may be a consequence of this property of the Babcock-Leighton mechanism. Stellar dynamo models with a tilt-angle proportional to the rotation rate are constructed to probe this idea. Two versions of the model - treating the tilt-angles globally and using Joy's law for its latitude dependence - are considered. Both models show a saturation of dynamo-generated magnetic flux at high rotation rates. The model with latitude-dependent tilt-angles shows also a change in dynamo regime in the saturation region. The new regime combines a cyclic dynamo at low latitudes with an (almost) steady polar dynamo.

  19. Neutral perfect fluids of Majumdar-type in general relativity

    E-Print Network [OSTI]

    V. Varela

    2005-01-31T23:59:59.000Z

    We consider the extension of the Majumdar-type class of static solutions for the Einstein-Maxwell equations, proposed by Ida to include charged perfect fluid sources. We impose the equation of state $\\rho+3p=0$ and discuss spherically symmetric solutions for the linear potential equation satisfied by the metric. In this particular case the fluid charge density vanishes and we locate the arising neutral perfect fluid in the intermediate region defined by two thin shells with respective charges $Q$ and $-Q$. With its innermost flat and external (Schwarzschild) asymptotically flat spacetime regions, the resultant condenser-like geometries resemble solutions discussed by Cohen and Cohen in a different context. We explore this relationship and point out an exotic gravitational property of our neutral perfect fluid. We mention possible continuations of this study to embrace non-spherically symmetric situations and higher dimensional spacetimes.

  20. Enforcement Policy Statement: Regional Standards Enforcement...

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

    42 U.S.C. 6291-6309, which set forth amended energy conservation standards for central air conditioners and heat pumps, including regional standards in certain States....

  1. BPA Regional Science Bowl Begins Jan. 31

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

    Regional-Science-Bowl-Begins-Jan-31 Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects &...

  2. Regional Analysis And Characterization Of Fractured Aquifers...

    Open Energy Info (EERE)

    Regional Analysis And Characterization Of Fractured Aquifers In The Virginia Blue Ridge And Piedmont Provinces Jump to: navigation, search OpenEI Reference LibraryAdd to library...

  3. Regional Carbon Sequestration Partnerships Validation Phase ...

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

    Regional Carbon Sequestration Partnerships Validation Phase Core Storage R&D Storage Infrastructure Strategic Program Support NATCARBAtlas Program Plan Project Portfolio...

  4. Sandia National Laboratories: Vermont Photovoltaic Regional Test...

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

    Photovoltaic Regional Test Center (RTC). The RTC will enable research on integrating solar panels into the statewide smart grid and help reduce the cost of solar power. The...

  5. Regional Districts, Commissions, and Authorities (South Carolina)

    Broader source: Energy.gov [DOE]

    This legislation establishes a number of regional districts, commissions, and authorities with the power to implement regulations and development plans for protected park and recreational areas.

  6. Regional geophysics, Cenozoic tectonics and geologic resources...

    Open Energy Info (EERE)

    geophysics, Cenozoic tectonics and geologic resources of the Basin and Range Province and adjoining regions Jump to: navigation, search OpenEI Reference LibraryAdd to library...

  7. Southeast Regional Clean Energy Policy Analysis

    Office of Energy Efficiency and Renewable Energy (EERE)

    This report covers the states that largely fall into the Southeastern Reliability Corporation (SERC) region: Alabama, Arkansas, Georgia, Louisiana, Kentucky, Missouri, Mississippi, North Carolina, South Carolina, and Tennessee.

  8. Northwest Region Combined Heat and Power Projects

    Broader source: Energy.gov [DOE]

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  9. 2011 Municipal Consortium Northwest Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Northwest Region Workshop, held in Seattle July 15, 2011.

  10. Pacific Region Combined Heat and Power Projects

    Broader source: Energy.gov [DOE]

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  11. Regional Resource Centers for Innovation Brochure (Revised)

    SciTech Connect (OSTI)

    Wogsland, J.

    2000-09-14T23:59:59.000Z

    This brochure describes OIT's Regional Resource Centers for Innovation (RCIs), which provide the Innovation and Invention program grantees and other small business energy innovators commercialization assistance.

  12. Northeast Region Combined Heat and Power Projects

    Broader source: Energy.gov [DOE]

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  13. Western Regional Emergency Medicine Student Symposium

    E-Print Network [OSTI]

    Joseph, Daniel A; Fernandez, Jorge

    2009-01-01T23:59:59.000Z

    Western Regional Emergency Medicine Student Symposium DanielFernandez, MD Keck School of Medicine of the University ofDepartment of Emergency Medicine, Los Angles, CA The Western

  14. Identifying Isotropic Events Using a Regional Moment Tensor Inversion

    SciTech Connect (OSTI)

    Ford, S R; Dreger, D S; Walter, W R

    2008-11-04T23:59:59.000Z

    We calculate the deviatoric and isotropic source components for 17 explosions at the Nevada Test Site, as well as 12 earthquakes and 3 collapses in the surrounding region of the western US, using a regional time-domain full waveform inversion for the complete moment tensor. The events separate into specific populations according to their deviation from a pure double-couple and ratio of isotropic to deviatoric energy. The separation allows for anomalous event identification and discrimination between explosions, earthquakes, and collapses. Confidence regions of the model parameters are estimated from the data misfit by assuming normally distributed parameter values. We investigate the sensitivity of the resolved parameters of an explosion to imperfect Earth models, inaccurate event depths, and data with low signal-to-noise ratio (SNR) assuming a reasonable azimuthal distribution of stations. In the band of interest (0.02-0.10 Hz) the source-type calculated from complete moment tensor inversion is insensitive to velocity models perturbations that cause less than a half-cycle shift (<5 sec) in arrival time error if shifting of the waveforms is allowed. The explosion source-type is insensitive to an incorrect depth assumption (for a true depth of 1 km), and the goodness-of-fit of the inversion result cannot be used to resolve the true depth of the explosion. Noise degrades the explosive character of the result, and a good fit and accurate result are obtained when the signal-to-noise ratio (SNR) is greater than 5. We assess the depth and frequency dependence upon the resolved explosive moment. As the depth decreases from 1 km to 200 m, the isotropic moment is no longer accurately resolved and is in error between 50-200%. However, even at the most shallow depth the resultant moment tensor is dominated by the explosive component when the data have a good SNR.

  15. Wheel-type magnetic refrigerator

    DOE Patents [OSTI]

    Barclay, John A. (Los Alamos, NM)

    1983-01-01T23:59:59.000Z

    The disclosure is directed to a wheel-type magnetic refrigerator capable of cooling over a large temperature range. Ferromagnetic or paramagnetic porous materials are layered circumferentially according to their Curie temperature. The innermost layer has the lowest Curie temperature and the outermost layer has the highest Curie temperature. The wheel is rotated through a magnetic field perpendicular to the axis of the wheel and parallel to its direction of rotation. A fluid is pumped through portions of the layers using inner and outer manifolds to achieve refrigeration of a thermal load.

  16. Wheel-type magnetic refrigerator

    DOE Patents [OSTI]

    Barclay, J.A.

    1982-01-20T23:59:59.000Z

    The disclosure is directed to a wheel-type magnetic refrigerator capable of cooling over a large temperature range. Ferromagnetic or paramagnetic porous materials are layered circumferentially according to their Curie temperature. The innermost layer has the lowest Curie temperature and the outermost layer has the highest Curie temperature. The wheel is rotated through a magnetic field perpendicular to the axis of the wheel and parallel to its direction of rotation. A fluid is pumped through portions of the layers using inner and outer manifolds to achieve refrigeration of a thermal load.

  17. Wheel-type magnetic refrigerator

    DOE Patents [OSTI]

    Barclay, J.A.

    1983-10-11T23:59:59.000Z

    The disclosure is directed to a wheel-type magnetic refrigerator capable of cooling over a large temperature range. Ferromagnetic or paramagnetic porous materials are layered circumferentially according to their Curie temperature. The innermost layer has the lowest Curie temperature and the outermost layer has the highest Curie temperature. The wheel is rotated through a magnetic field perpendicular to the axis of the wheel and parallel to its direction of rotation. A fluid is pumped through portions of the layers using inner and outer manifolds to achieve refrigeration of a thermal load. 7 figs.

  18. U.S. Energy Information Administration (EIA) - Pub

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

    Annual Energy Outlook 2012 cases Appendix F: Regional Maps United States census divisions Electricity market module regions Petroleum Administration for defense districts Oil and...

  19. U.S. Energy Information Administration (EIA) - Pub

    Gasoline and Diesel Fuel Update (EIA)

    Annual Energy Outlook 2011 cases Appendix F: Regional Maps United States census divisions Electricity market module regions Petroleum Administration for defense districts Oil and...

  20. Can Deflagration-Detonation-Transitions occur in Type Ia Supernovae?

    E-Print Network [OSTI]

    J. C. Niemeyer

    1999-07-19T23:59:59.000Z

    The mechanism for deflagration-detonation-transition (DDT) by turbulent preconditioning, suggested to explain the possible occurrence of delayed detonations in Type Ia supernova explosions, is argued to be conceptually inconsistent. It relies crucially on diffusive heat losses of the burned material on macroscopic scales. Regardless of the amplitude of turbulent velocity fluctuations, the typical gradient scale for temperature fluctuations is shown to be the laminar flame width or smaller, rather than the factor of thousand more required for a DDT. Furthermore, thermonuclear flames cannot be fully quenched in regions much larger than the laminar flame width as a consequence of their simple ``chemistry''. Possible alternative explosion scenarios are briefly discussed.

  1. anemia mga1 region: Topics by E-print Network

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

    and Plants Websites Summary: 652013 1 Regional GHG Emissions O tlook Greenhouse Gas and the Regional Power System Symposium Regional GHG Emissions - Outlook June 4, 2013...

  2. Scenarios of Building Energy Demand for China with a Detailed Regional Representation

    SciTech Connect (OSTI)

    Yu, Sha; Eom, Jiyong; Zhou, Yuyu; Evans, Meredydd; Clarke, Leon E.

    2014-02-07T23:59:59.000Z

    Building energy consumption currently accounts for 28% of China’s total energy use and is expected to continue to grow induced by floorspace expansion, income growth, and population change. Fuel sources and building services are also evolving over time as well as across regions and building types. To understand sectoral and regional difference in building energy use and how socioeconomic, physical, and technological development influence the evolution of the Chinese building sector, this study developed a building energy use model for China downscaled into four climate regions under an integrated assessment framework. Three building types (rural residential, urban residential, and commercial) were modeled specifically in each climate region. Our study finds that the Cold and Hot Summer Cold Winter regions lead in total building energy use. The impact of climate change on heating energy use is more significant than that of cooling energy use in most climate regions. Both rural and urban households will experience fuel switch from fossil fuel to cleaner fuels. Commercial buildings will experience rapid growth in electrification and energy intensity. Improved understanding of Chinese buildings with climate change highlighted in this study will help policy makers develop targeted policies and prioritize building energy efficiency measures.

  3. Predicting Functional Regions of Objects Chaitanya Desai

    E-Print Network [OSTI]

    Ramanan, Deva

    regions. We compare "blind" approaches that ig- nore image data, bottom-up approaches that reason about). We benchmark a wide variety of algo- rithms for producing such outputs, including blind baselines- fords little use to an observer. The central thesis of this work is that functional regions

  4. THE ECONOMIC SITUATION IN THE ECE REGION

    E-Print Network [OSTI]

    THE ECONOMIC SITUATION IN THE ECE REGION DIETER HESSE ECONOMIC ANALYSIS DIVISION UNECE #12;Major trends in the global economy so far in 2003 Global economic activity picked up ­ but uneven regional growth forces United States remains main engine of global economic growth Japan and Asian emerging

  5. Understanding Regional Economic Growth in India

    E-Print Network [OSTI]

    Understanding Regional Economic Growth in India Jeffrey D. Sachs, Nirupam Bajpai and Ananthi Ramiah Papers #12;Understanding Regional Economic Growth in India Jeffrey D. Sachs Center for International Development (CID) Harvard University Ananthi_Ramiah@harvard.edu This paper was prepared for the Asian Economic

  6. Roadmap: Associate of Arts Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2012-2013 Page 1 of 2 | Last Updated: 12-Mar-12/LNHD This roadmap is a recommended semester-by-semester plan of study for this major GPA Overall GPA 61 2.000 2.000 #12;Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year

  7. Roadmap: Associate of Arts Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2013-2014 Page 1 of 2 | Last Updated: 27-Feb-13/LNHD This roadmap is a recommended semester-by-semester plan of study for this major.000 #12;Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2013-2014 Page 2 of 2 | Last

  8. Roadmap: Associate of Science Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2013-2014 Page 1 of 2 | Last Updated: 27-Feb-13/LNHD This roadmap is a recommended semester-by-semester plan of study.000 #12;Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2013-2014 Page 2 of 2

  9. Roadmap: Associate of Science Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2012-2013 Page 1 of 2 | Last Updated: 12-Mar-12/LNHD This roadmap is a recommended semester-by-semester plan of study GPA Overall GPA 61 2.000 2.000 #12;Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog

  10. Cardiff School of City and Regional Planning

    E-Print Network [OSTI]

    Davies, Christopher

    Cardiff School of City and Regional Planning Undergraduate Degree Programmes www School of City and Regional Planning 11 BSc Geography (Human) 13 BSc Geography (Human) and Planning 15 to Find Us #12;Welcome 1www.cardiff.ac.uk/cplan Thank you for your interest in the Cardiff School of City

  11. MID-ATLANTIC REGIONAL OCEAN RESEARCH PLAN

    E-Print Network [OSTI]

    ................................................................................. 24 #12;v ASMFC Atlantic States Marine Fisheries Commission BOEM Bureau of Ocean Energy Management BMPMID-ATLANTIC REGIONAL OCEAN RESEARCH PLAN SEPTEMBER 2012 Sea Grant Mid-Atlantic Ocean Research #12;MID-ATLANTIC REGIONAL OCEAN RESEARCH PLAN SEPTEMBER 2012 Sea Grant Mid-Atlantic Ocean Research

  12. Hydrogen in Type Ic Supernovae?

    E-Print Network [OSTI]

    David Branch; David J. Jeffery; Timothy R. Young; E. Baron

    2006-05-09T23:59:59.000Z

    By definition, a Type Ic supernova (SN Ic) does not have conspicuous lines of hydrogen or helium in its optical spectrum. SNe Ic usually are modelled in terms of the gravitational collapse of bare carbon-oxygen cores. We consider the possibility that the spectra of ordinary (SN 1994I-like) SNe Ic have been misinterpreted, and that SNe Ic eject hydrogen. An absorption feature usually attributed to a blend of Si II 6355 and C II 6580 may be produced by H-alpha. If SN 1994I-like SNe Ic eject hydrogen, the possibility that hypernova (SN 1998bw-like) SNe Ic, some of which are associated with gamma-ray bursts, also eject hydrogen should be considered. The implications of hydrogen for SN Ic progenitors and explosion models are briefly discussed.

  13. Proof and Definition in Logic and Type Theory Proof and Definition in Logic and Type Theory

    E-Print Network [OSTI]

    Adams, Robin

    Proof and Definition in Logic and Type Theory Proof and Definition in Logic and Type Theory Robin questions. #12;Proof and Definition in Logic and Type Theory Definition and Proof Definition and proof -- but they are not in predicate logic or type theory. #12;Proof and Definition in Logic and Type Theory Methods of Definition

  14. Arrowhead Center: Coal Production and Regional Economic Growth Report Title: Coal Production and Regional Economic Growth

    E-Print Network [OSTI]

    Johnson, Eric E.

    Arrowhead Center: Coal Production and Regional Economic Growth Report Title: Coal Production@nmsu.edu #12;Arrowhead Center: Coal Production and Regional Economic Growth i Disclaimer This report States Government or any agency thereof. #12;Arrowhead Center: Coal Production and Regional Economic

  15. The CO2 Content of Consumption Across US Regions: A Multi-Regional

    E-Print Network [OSTI]

    , when attributed on a consumption basis, California's per capita emissions are over 25 percent higherThe CO2 Content of Consumption Across US Regions: A Multi-Regional Input-Output (MRIO) Approach: globalchange@mit.edu Website: http://globalchange.mit.edu/ #12;The CO2 Content of Consumption Across US Regions

  16. IRIS Reactor a Suitable Option to Provide Energy and Water Desalination for the Mexican Northwest Region

    SciTech Connect (OSTI)

    Alonso, G.; Ramirez, R.; Gomez, C.; Viais, J.

    2004-10-03T23:59:59.000Z

    The Northwest region of Mexico has a deficit of potable water, along this necessity is the region growth, which requires of additional energy capacity. The IRIS reactor offers a very suitable source of energy given its modular size of 300 MWe and it can be coupled with a desalination plant to provide the potable water for human consumption, agriculture and industry. The present paper assess the water and energy requirements for the Northwest region of Mexico and how the deployment of the IRIS reactor can satisfy those necessities. The possible sites for deployment of Nuclear Reactors are considered given the seismic constraints and the closeness of the sea for external cooling. And in the other hand, the size of the desalination plant and the type of desalination process are assessed accordingly with the water deficit of the region.

  17. Identifying isotropic events using a regional moment tensor inversion

    SciTech Connect (OSTI)

    Ford, S R; Dreger, D S; Walter, W R

    2008-07-16T23:59:59.000Z

    The deviatoric and isotropic source components for 17 explosions at the Nevada Test Site, as well as 12 earthquakes and 3 collapses in the surrounding region of the western US, are calculated using a regional time-domain full waveform inversion for the complete moment tensor. The events separate into specific populations according to their deviation from a pure double-couple and ratio of isotropic to deviatoric energy. The separation allows for anomalous event identification and discrimination between explosions, earthquakes, and collapses. Confidence regions of the model parameters are estimated from the data misfit by assuming normally distributed parameter values. We investigate the sensitivity of the resolved parameters of an explosion to imperfect Earth models, inaccurate event depths, and data with a low signal-to-noise ratio (SNR) assuming a reasonable azimuthal distribution of stations. In the band of interest (0.02-0.10 Hz) the source-type calculated from complete moment tensor inversion is insensitive to velocity models perturbations that cause less than a half-cycle shift (<5 sec) in arrival time error if shifting of the waveforms is allowed. The explosion source-type is insensitive to an incorrect depth assumption (for a true depth of 1 km), but the goodness-of-fit of the inversion result cannot be used to resolve the true depth of the explosion. Noise degrades the explosive character of the result, and a good fit and accurate result are obtained when the signal-to-noise ratio (SNR) is greater than 5. We assess the depth and frequency dependence upon the resolved explosive moment. As the depth decreases from 1 km to 200 m, the isotropic moment is no longer accurately resolved and is in error between 50-200%. However, even at the most shallow depth the resultant moment tensor is dominated by the explosive component when the data has a good SNR. The sensitivity investigation is extended via the introduction of the network sensitivity solution, which takes into account the unique station distribution, frequency band, and SNR of a given test scenario. An example of this analysis is presented for the North Korea test, which shows that in order to constrain the explosive component one needs a certain station configuration. In the future we will analyze the bias in the source-type parameters due to error in the Green's function by incorporating a suite of suitable velocity models in the inversion.

  18. Control of Regional and Global Weather

    E-Print Network [OSTI]

    Alexander Bolonkin

    2007-01-09T23:59:59.000Z

    Author suggests and researches a new revolutionary idea for regional and global weather control. He offers to cover cities, bad regions of country, full country or a continent by a thin closed film with control clarity located at a top limit of the Earth troposphere (4 - 6 km). The film is supported at altitude by small additional atmospheric pressure and connected to ground by thin cables. It is known, the troposphere defines the Earth weather. Authors show this closed dome allows to do a full control of the weather in a given region (the day is always fine, the rain is only in night, no strong wind). The average Earth (white cloudy) reflectance equal 0.3 - 0.5. That means the Earth losses about 0.3 - 0.5 of a solar energy. The dome controls the clarity of film and converts the cold regions to subtropics and creates the hot deserts, desolate wildernesses to the prosperous regions with temperate climate. That is a realistic and the cheapest method of the weather control in the Earth at the current time. Key words: Global weather control, gigantic film dome, converting a cold region to subtropics, converting desolate wilderness to a prosperous region.

  19. MonteCarloType Techniques for Processing Interval Uncertainty, and Their Geophysical and

    E-Print Network [OSTI]

    Ward, Karen

    Monte­Carlo­Type Techniques for Processing Interval Uncertainty, and Their Geophysical contact email vladik@cs.utep.edu Abstract To determine the geophysical structure of a region, we measure are independently normally distributed. Problem: the resulting accuracies are not in line with geophysical intuition

  20. Monte-Carlo-Type Techniques for Processing Interval Uncertainty, and Their Geophysical and

    E-Print Network [OSTI]

    Ward, Karen

    Monte-Carlo-Type Techniques for Processing Interval Uncertainty, and Their Geophysical contact email vladik@cs.utep.edu Abstract To determine the geophysical structure of a region, we measure are independently normally distributed. Problem: the resulting accuracies are not in line with geophysical intuition

  1. Role of type IV secretion systems in trafficking of virulence determinants of Burkholderia cenocepacia

    E-Print Network [OSTI]

    Engledow, Amanda Suzanne

    2009-06-02T23:59:59.000Z

    protein effector (PtwE1) that is cytotoxic to plant cells. It was also determined that the positively charged C-terminal region of PtwE1 is important for translocation via the Ptw type IV secretion system. Strains of the epidemic B. cenocepacia PHDC...

  2. Submitter Email: nathalie.revol@ens-lyon.fr Type of Project: New IEEE Standard

    E-Print Network [OSTI]

    Kreinovich, Vladik

    with a similar scope? No 7.2 International Activities a. Adoption Is there potential for this standard (in part or in whole) to be adopted by another national, regional or international organization? Yes Organization: ISOP1788 Submitter Email: nathalie.revol@ens-lyon.fr Type of Project: New IEEE Standard PAR Request

  3. Regional Climate Modeling: Progress, Challenges, and Prospects

    SciTech Connect (OSTI)

    Wang, Yuqing; Leung, Lai R.; McGregor, John L.; Lee, Dong-Kyou; Wang, Wei-Chyung; Ding, Yihui; Kimura, Fujio

    2004-12-01T23:59:59.000Z

    Regional climate modeling with regional climate models (RCMs) has matured over the past decade and allows for meaningful utilization in a broad spectrum of applications. In this paper, latest progresses in regional climate modeling studies are reviewed, including RCM development, applications of RCMs to dynamical downscaling for climate change assessment, seasonal climate predictions and climate process studies, and the study of regional climate predictability. Challenges and potential directions of future research in this important area are discussed, with the focus on those to which less attention has been given previously, such as the importance of ensemble simulations, further development and improvement of regional climate modeling approach, modeling extreme climate events and sub-daily variation of clouds and precipitation, model evaluation and diagnostics, applications of RCMs to climate process studies and seasonal predictions, and development of regional earth system models. It is believed that with both the demonstrated credibility of RCMs’ capability in reproducing not only monthly to seasonal mean climate and interannual variability but also the extreme climate events when driven by good quality reanalysis and the continuous improvements in the skill of global general circulation models (GCMs) in simulating large-scale atmospheric circulation, regional climate modeling will remain an important dynamical downscaling tool for providing the needed information for assessing climate change impacts and seasonal climate predictions, and a powerful tool for improving our understanding of regional climate processes. An internationally coordinated effort can be developed with different focuses by different groups to advance regional climate modeling studies. It is also recognized that since the final quality of the results from nested RCMs depends in part on the realism of the large-scale forcing provided by GCMs, the reduction of errors and improvement in physics parameterizations in both GCMs and RCMs remain a priority for climate modeling community.

  4. Archive Reference Buildings by Building Type: Supermarket

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  5. Archive Reference Buildings by Building Type: Warehouse

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  6. New approaches for modeling type Ia supernovae

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

    ich and J. Stein. On the thermonuclear runaway in Type IaSmall-Scale Stability of Thermonuclear Flames o in Type IaS. E. Woosley. The thermonuclear explosion of chandrasekhar

  7. Double field theory of type II strings

    E-Print Network [OSTI]

    Hohm, Olaf

    We use double field theory to give a unified description of the low energy limits of type IIA and type IIB superstrings. The Ramond-Ramond potentials fit into spinor representations of the duality group O(D, D) and ...

  8. Ideal bandpasses for type Ia supernova cosmology

    E-Print Network [OSTI]

    Davis, Tamara M.; Schmidt, Brian P.; Kim, Alex G.

    2005-01-01T23:59:59.000Z

    diversity of type Ia Supernovae, in preparation. Kim, A.error in measurements of supernovae depends on a periodicABSTRACT To use type Ia supernovae as standard candles for

  9. Stellar Populations in Circumnuclear Star Forming Regions

    E-Print Network [OSTI]

    A. I. Diaz; M. Alvarez-Alvarez; M. Castellanos

    2002-05-07T23:59:59.000Z

    We present a study of the stellar populations and gas physical conditions in Circumnuclear Star Forming Regions (CNSFR) based on broad and narrow band photometry and spectrophotometric data, which have been analyzed with the use of evolutionary population synthesis and photoionization models. It is found that most CNSFR show composite stellar populations of slightly different ages. They seem to have the highest abundances in HII region-like objects, showing also N/O overabundances and S/O underabundances by a factor of about three. Also, CNSFR as a class, segregate from the disk HII region family, clustering around smaller $\\eta$' values, and thereforefore higher ionizing temperatures.

  10. Overload permit rules applicable to H-type and HS-type bridges

    E-Print Network [OSTI]

    Litchfield, Stephen Charles

    1994-01-01T23:59:59.000Z

    This document defines standards for issuing permits for overweight vehicles crossing standard H-type and HS-type Texas highway bridges. A general formula and a bridge specific formula have been developed for simple spans of both bridge types...

  11. Rates and progenitors of type Ia supernovae

    E-Print Network [OSTI]

    Wood-Vasey, William Michael

    2004-01-01T23:59:59.000Z

    Supernovae . . . . . . . . . . . . . . . . . . . .Supernovae Found 5.1 Introduction . . . . . . . . . . . .1.2 Non-Type Ia Supernovae . . . . . . . . . . . . . . . 1.3

  12. Iron-boron pairing kinetics in illuminated p-type and in boron/phosphorus co-doped n-type silicon

    SciTech Connect (OSTI)

    Möller, Christian, E-mail: cmoeller@cismst.de [CiS Forschungsinstitut für Mikrosensorik und Photovoltaik GmbH, Konrad-Zuse-Str. 14, 99099 Erfurt (Germany); TU Ilmenau, Institut für Physik, Weimarer Str. 32, 98693 Ilmenau (Germany); Bartel, Til; Gibaja, Fabien [Calisolar GmbH, Magnusstraße 11, 12489 Berlin (Germany); Lauer, Kevin [CiS Forschungsinstitut für Mikrosensorik und Photovoltaik GmbH, Konrad-Zuse-Str. 14, 99099 Erfurt (Germany)

    2014-07-14T23:59:59.000Z

    Iron-boron (FeB) pairing is observed in the n-type region of a boron and phosphorus co-doped silicon sample which is unexpected from the FeB pair model of Kimerling and Benton. To explain the experimental data, the existing FeB pair model is extended by taking into account the electronic capture and emission rates at the interstitial iron (Fe{sub i}) trap level as a function of the charge carrier densities. According to this model, the charge state of the Fe{sub i} may be charged in n-type making FeB association possible. Further, FeB pair formation during illumination in p-type silicon is investigated. This permits the determination of the charge carrier density dependent FeB dissociation rate and in consequence allows to determine the acceptor concentration in the co-doped n-type silicon by lifetime measurement.

  13. Transportation Demand

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

    energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes...

  14. Transportation Demand This

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

    energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific and associated technology...

  15. Fuzzy Typing for Document Management Alison HUETTNER

    E-Print Network [OSTI]

    Wu, Dekai

    Fuzzy Typing for Document Management Alison HUETTNER Clairvoyance Corporation 5301 Fifth Avenue method of document analysis and management, based on a combination of techniques from NLP and fuzzy logic typing for document management. The fuzzy typing approach is general in scope and can be applied to many

  16. Type Ia Supernova Carbon Footprints

    E-Print Network [OSTI]

    Thomas, R C; Aragon, C; Antilogus, P; Bailey, S; Baltay, C; Bongard, S; Buton, C; Canto, A; Childress, M; Chotard, N; Copin, Y; Fakhouri, H K; Gangler, E; Hsiao, E Y; Kerschhaggl, M; Kowalski, M; Loken, S; Nugent, P; Paech, K; Pain, R; Pecontal, E; Pereira, R; Perlmutter, S; Rabinowitz, D; Rigault, M; Rubin, D; Runge, K; Scalzo, R; Smadja, G; Tao, C; Weaver, B A; Wu, C; Brown, P J; Milne, P A

    2011-01-01T23:59:59.000Z

    We present convincing evidence of unburned carbon at photospheric velocities in new observations of 5 Type Ia supernovae (SNe Ia) obtained by the Nearby Supernova Factory. These SNe are identified by examining 346 spectra from 124 SNe obtained before +2.5 d relative to maximum. Detections are based on the presence of relatively strong C II 6580 absorption "notches" in multiple spectra of each SN, aided by automated fitting with the SYNAPPS code. Four of the 5 SNe in question are otherwise spectroscopically unremarkable, with ions and ejection velocities typical of SNe Ia, but spectra of the fifth exhibits high-velocity (v > 20,000 km/s) Si II and Ca II features. On the other hand, the light curve properties are preferentially grouped, strongly suggesting a connection between carbon-positivity and broad band light curve/color behavior: Three of the 5 have relatively narrow light curves but also blue colors, and a fourth may be a dust-reddened member of this family. Accounting for signal-to-noise and phase, we ...

  17. Enforcement Policy Statement: Compliance Period for Regional...

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

    Compliance Period for Regional Standards Applicable to Central Air Conditioners April 24, 2014 On June 27, 2011, the U.S. Department of Energy (DOE) published in the Federal...

  18. Sierra Nevada Region - Western Area Power Administration

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

    The Sierra Nevada Region is one of five offices in the Western Area Power Administration. SN markets power in northern and central California, and portions of Nevada, to wholesale...

  19. Detection Of Amplified Or Deleted Chromosomal Regions

    DOE Patents [OSTI]

    Stokke, Trond (San Fransisco, CA), Pinkel, Daniel (Walnut Creek, CA), Gray, Joe W. (San Fransisco, CA)

    1997-05-27T23:59:59.000Z

    The present invention relates to in situ hybridization methods for the identification of new chromosomal abnormalities associated with various diseases. In particular, it provides probes which are specific to a region of amplification in chromosome 20.

  20. Detection of amplified or deleted chromosomal regions

    DOE Patents [OSTI]

    Stokke, Trond (San Francisco, CA); Pinkel, Daniel (Walnut Creek, CA); Gray, Joe W. (San Francisco, CA)

    1995-01-01T23:59:59.000Z

    The present invention relates to in situ hybridization methods for the identification of new chromosomal abnormalities associated with various diseases. In particular, it provides probes which are specific to a region of amplification in chromosome 20.

  1. Northwestern Indiana Regional Planning Commission (Indiana)

    Broader source: Energy.gov [DOE]

    NIRPC is a regional council of local governments serving the citizens of Lake, Porter, and LaPorte counties in Northwest Indiana. NIRPC provides a forum that enables the citizens of Northwest...

  2. INVESTIGATION OF BULK POWER MIDWEST REGION

    E-Print Network [OSTI]

    Laughlin, Robert B.

    INVESTIGATION OF BULK POWER MARKETS MIDWEST REGION November 1, 2000 The analyses and conclusions Energy Regulatory Commission, any individual Commissioner, or the Commission itself #12;3-i Contents Page . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-3 A. Description of the Midwest

  3. Public School Transportation National and Regional

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Public School Transportation National and Regional Perspectives: An Update Presented to Education University #12;Table of Contents I. Current Transportation Funding Policies ..................................................................................................................................1 B. Transportation Funding Options Used by States

  4. Contact Upper Great Plains Regional Office

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

    Great Plains Regional Office Mailing Address: PO Box 35800 Billings, MT 59107-5800 406-255-2800 Toll Free: 1-800-358-3415 Fax: 406-255-2900 Organizational chart with phone numbers...

  5. 2011 Municipal Consortium Northeast Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Northeast Region Workshop, held in Philadelphia, May 19–20, 2011.

  6. 2011 Municipal Consortium Southwest Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Southwest Region Workshop, held in San Jose, California, August 25­–26, 2011.

  7. 2010 Municipal Consortium Southwest Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Southwest Region Workshop, held in Los Angeles on September 30, 2010.

  8. Sandia National Laboratories: Photovoltaic Regional Testing Center...

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

    Regional Test Center (RTC). The RTC will enable research on integrating solar panels into the statewide smart grid and help reduce the cost of solar power. The Vermont RTC...

  9. What is the Broad Line Region?

    E-Print Network [OSTI]

    Ari Laor

    2003-12-16T23:59:59.000Z

    What is the Broad Line Region (BLR) made of? What determines its location? Why is it sometimes missing? What controls its properties? Some recent results and new approaches which may shed light on these issues are briefly described.

  10. About Upper Great Plains Regional Office

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

    7,800 miles of Federal power lines, which are connected with other regional transmission systems and groups. To keep power moving through the system, we rely on our operations in...

  11. AWEA Wind Energy Regional Summit: Northeast

    Office of Energy Efficiency and Renewable Energy (EERE)

    The AWEA Wind Energy Northeast Regional Summit will connect you with New England-area wind energy professionals and offers the opportunity to discuss significant issues related to land-based and...

  12. Clusters of Extragalactic Ultra Compact HII Regions

    E-Print Network [OSTI]

    Kelsey E. Johnson; Chip Kobulnicky; Phil Massey; Peter Conti

    2001-07-10T23:59:59.000Z

    We report on the detection of optically thick free-free radio sources in the galaxies M33, NGC 253, and NGC 6946 using data in the literature. We interpret these sources as being young, embedded star birth regions, which are likely to be clusters of ultracompact HII regions. All 35 of the sources presented in this article have positive radio spectral indices alpha>0 suggesting an optically thick thermal bremsstrahlung emission arising in the HII region surrounding hot stars. Energy requirements indicate a range of a several to >500 O7V star equivalents powering each HII region. Assuming a Salpeter IMF, this corresponds to integrated stellar masses of 0.1--60,000 Msun. For roughly half of the sources in our sample, there is no obvious optical counterpart, giving further support for their deeply embedded nature. Their luminosities and radio spectral energy distributions are consistent with HII regions having electron densities from 1500 cm^-3 to 15000 cm^-3 and radii of 1 - 7 pc. We suggest that the less luminous of these sources are extragalactic ultracompact HII region complexes, those of intermediate luminosity are similar to W49 in the Galaxy, while the brightest will be counterparts to 30 Doradus. These objects constitute the lower mass range of extragalactic ``ultradense HII regions'' which we argue are the youngest stages of massive star cluster formation yet observed. This sample is beginning to fill in the continuum of objects between small associations of ultracompact HII regions and the massive extragalactic clusters that may evolve into globular clusters.

  13. Regional interpretation of Kansas aeromagnetic data

    SciTech Connect (OSTI)

    Yarger, H.L.

    1982-01-01T23:59:59.000Z

    The aeromagnetic mapping techniques used in a regional aeromagnetic survey of the state are documented and a qualitative regional interpretation of the magnetic basement is presented. Geothermal gradients measured and data from oil well records indicate that geothermal resources in Kansas are of a low-grade nature. However, considerable variation in the gradient is noted statewide within the upper 500 meters of the sedimentary section; this suggests the feasibility of using groundwater for space heating by means of heat pumps.

  14. Regions of influence for two iterative methods 

    E-Print Network [OSTI]

    Leifeste, Arlee Ross

    1966-01-01T23:59:59.000Z

    Subject Mathematics REGIONS OF INFLUENCE FOR TWO ITERATIVE METHODS A Thesis By ARLEE ROSS LEIFESTE Approved as to style and content by: (Chairman of Committee) (Head of Department) (Member) (N b )' January 1966 ACKNOWLEDGMENT The author wishes... purpose of the present discussion is to initiate a study of the "regions of influence" of the various solutions of the simul- taneous equations involved. Let the simultaneous functions be denoted and let ( y , y , , y 1 be a point of n...

  15. Residential market transformation: National and regional indicators

    SciTech Connect (OSTI)

    Van Wie McGrory, Laura L.; McNamara, Maureen; Suozzo, Margaret

    2000-06-01T23:59:59.000Z

    A variety of programs are underway to address market barriers to the adoption of energy-efficient residential technologies and practices. Most are administered by utilities, states, or regions that rely on the Energy Star as a consistent platform for program marketing and messaging. This paper reviews regional and national market transformation activities for three key residential end-uses -- air conditioning, clothes washing, and lighting -- characterizing current and ongoing programs; reporting on progress; identifying market indicators; and discussing implications.

  16. Multi-region unstructured volume segmentation using tetrahedron filling

    SciTech Connect (OSTI)

    Willliams, Sean Jamerson [Los Alamos National Laboratory; Dillard, Scott E [Los Alamos National Laboratory; Thoma, Dan J [MDI, INSTITUTES; Hlawitschka, Mario [UC DAVIS; Hamann, Bernd [UC DAVIS

    2010-01-01T23:59:59.000Z

    Segmentation is one of the most common operations in image processing, and while there are several solutions already present in the literature, they each have their own benefits and drawbacks that make them well-suited for some types of data and not for others. We focus on the problem of breaking an image into multiple regions in a single segmentation pass, while supporting both voxel and scattered point data. To solve this problem, we begin with a set of potential boundary points and use a Delaunay triangulation to complete the boundaries. We use heuristic- and interaction-driven Voronoi clustering to find reasonable groupings of tetrahedra. Apart from the computation of the Delaunay triangulation, our algorithm has linear time complexity with respect to the number of tetrahedra.

  17. n-Linear Algebra of type II

    E-Print Network [OSTI]

    W. B. Vasantha Kandasamy; Florentin Smarandache

    2009-02-01T23:59:59.000Z

    This book is a continuation of the book n-linear algebra of type I and its applications. Most of the properties that could not be derived or defined for n-linear algebra of type I is made possible in this new structure: n-linear algebra of type II which is introduced in this book. In case of n-linear algebra of type II we are in a position to define linear functionals which is one of the marked difference between the n-vector spaces of type I and II. However all the applications mentioned in n-linear algebras of type I can be appropriately extended to n-linear algebras of type II. Another use of n-linear algebra (n-vector spaces) of type II is that when this structure is used in coding theory we can have different types of codes built over different finite fields whereas this is not possible in the case of n-vector spaces of type I. Finally in the case of n-vector spaces of type II, we can obtain n-eigen values from distinct fields; hence, the n-characteristic polynomials formed in them are in distinct different fields. An attractive feature of this book is that the authors have suggested 120 problems for the reader to pursue in order to understand this new notion. This book has three chapters. In the first chapter the notion of n-vector spaces of type II are introduced. This chapter gives over 50 theorems. Chapter two introduces the notion of n-inner product vector spaces of type II, n-bilinear forms and n-linear functionals. The final chapter suggests over a hundred problems. It is important that the reader is well-versed not only with linear algebra but also n-linear algebra of type I.

  18. Potential Impacts of Plug-in Hybrid Electric Vehicles (PHEVs) on Regional Power Generation

    SciTech Connect (OSTI)

    Hadley, Stanton W [ORNL; Tsvetkova, Alexandra A [ORNL

    2009-01-01T23:59:59.000Z

    PHEVs are expected to penetrate market soon. If recharging occurs during off-peak hours, the grid will not be significantly affected. However, peak-time recharging may lead to capacity shortfalls. This paper analyzes the potential impact of PHEVs on electricity demand, supply, generation structure, prices, and emissions levels in 2020 and 2030 in 13 U.S. regions under 7 recharging scenarios. The simulations predict that the PHEV introduction could impact demand peaks, reduce reserve margins, and increase prices. The type of power generation used to recharge the PHEVs and associated emissions will depend upon the region and the timing of the recharge.

  19. SOUTHWEST REGIONAL PARTNERSHIP FOR CARBON SEQUESTRATION

    SciTech Connect (OSTI)

    Brian McPherson

    2004-04-01T23:59:59.000Z

    The Southwest Partnership Region includes five states (Arizona, Colorado, New Mexico, Oklahoma, Utah) and contiguous areas from three adjacent states (west Texas, south Wyoming, and west Kansas). This energy-rich region exhibits some of the largest growth rates in the nation, and it contains two major CO{sub 2} pipeline networks that presently tap natural subsurface CO{sub 2} reservoirs for enhanced oil recovery at a rate of 30 million tons per year. The ten largest coal-fired power plants in the region produce 50% (140 million tons CO{sub 2}/y) of the total CO{sub 2} from power-plant fossil fuel combustion, with power plant emissions close to half the total CO{sub 2} emissions. The Southwest Regional Partnership comprises a large, diverse group of expert organizations and individuals specializing in carbon sequestration science and engineering, as well as public policy and outreach. These partners include 21 state government agencies and universities, the five major electric utility industries, seven oil, gas and coal companies, three federal agencies, the Navajo Nation, several NGOs including the Western Governors Association, and data sharing agreements with four other surrounding states. The Partnership is developing action plans for possible Phase II carbon sequestration pilot tests in the region, as well as the non-technical aspects necessary for developing and carrying out these pilot tests. The establishment of a website network to facilitate data storage and information sharing, decision-making, and future management of carbon sequestration in the region is a priority. The Southwest Partnership's approach includes (1) dissemination of existing regulatory/permitting requirements, (2) assessing and initiating public acceptance of possible sequestration approaches, and (3) evaluation and ranking of the most appropriate sequestration technologies for capture and storage of CO{sub 2} in the Southwest Region. The Partnership will also identify potential gaps in monitoring and verification approaches needed to validate long-term storage efforts.

  20. TWO TYPES OF EXTREME-ULTRAVIOLET BRIGHTENINGS IN AR 10926 OBSERVED BY HINODE/EIS

    SciTech Connect (OSTI)

    Lee, K.-S. [Department of Astronomy and Space Science, Kyung Hee University, Yongin 446-701 (Korea, Republic of); Moon, Y.-J.; Choe, G. S. [School of Space Research, Kyung Hee University, Yongin 446-701 (Korea, Republic of); Kim, Sujin; Cho, Kyung-Suk [Korea Astronomy and Space Science Institute, Daejeon 305-348 (Korea, Republic of); Imada, S., E-mail: lksun@khu.ac.kr [Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, 3-1-1 Yoshinodai, Chuo-ku, Sagamihara-shi, Kanagawa 252-5210 (Japan)

    2011-07-20T23:59:59.000Z

    We have investigated seven extreme-ultraviolet (EUV) brightenings in the active region AR 10926 on 2006 December 2 observed by the EUV Imaging Spectrometer on board the Hinode spacecraft. We have determined their Doppler velocities and non-thermal velocities from 15 EUV spectral lines (log T = 4.7 - 6.4) by fitting each line profile to a Gaussian function. The Doppler velocity maps for different temperatures are presented to show the height dependence of the Doppler shifts. It is found that the active region brightenings show two distinct Doppler shift patterns. The type 1 brightening shows a systematic increase of Doppler velocity from -68 km s{sup -1} (strong blueshift) at log T = 4.7 to -2 km s{sup -1} (weak blueshift) at log T = 6.4, while the type 2 brightenings have Doppler velocities in the range from -20 km s{sup -1} to 20 km s{sup -1}. The type 1 brightening point is considered to sit in an upward reconnection outflow whose speed decreases with height. In both types of brightenings, the non-thermal velocity is found to be significantly enhanced at log T = 5.8 compared to the background region. We have also determined electron densities from line ratios and derived temperatures from emission measure loci using the CHIANTI atomic database. The electron densities of all brightenings are comparable to typical values in active regions (log N{sub e} = 9.9-10.4). The emission measure loci plots indicate that these brightenings should be multi-thermal whereas the background is isothermal. The differential emission measure as a function of temperature shows multiple peaks in the EUV brightening regions, while it has only a single peak (log T = 6.0) in the background region. Using Michelson Doppler Imager magnetograms, we have found that the type 1 brightening is associated with a canceling magnetic feature with a flux canceling rate of 2.4 x 10{sup 18} Mx hr{sup -1}. We also found the canceling magnetic feature and chromospheric brightenings in the type 1 brightening from the Hinode SOT and Transition Region and Coronal Explorer data. This observation corroborates our argument that brightening is caused by magnetic reconnection in a low atmosphere.

  1. STORAGE OPERATORS and -POSITIVE TYPES in TTR TYPE Karim NOUR 1

    E-Print Network [OSTI]

    Nour, Karim

    STORAGE OPERATORS and -POSITIVE TYPES in TTR TYPE SYSTEM Karim NOUR 1 LAMA - Equipe de Logique the notion of storage operator to simulate "call by value" in the "call by name" strategy. J.L. Krivine has for the storage operators in AF2 type system. This paper studies the -positive types (the universal second order

  2. Mid-Atlantic Regional Wind Energy Institute

    SciTech Connect (OSTI)

    Courtney Lane

    2011-12-20T23:59:59.000Z

    As the Department of Energy stated in its 20% Wind Energy by 2030 report, there will need to be enhanced outreach efforts on a national, state, regional, and local level to communicate wind development opportunities, benefits and challenges to a diverse set of stakeholders. To help address this need, PennFuture was awarded funding to create the Mid-Atlantic Regional Wind Energy Institute to provide general education and outreach on wind energy development across Maryland, Virginia, Delaware, Pennsylvania and West Virginia. Over the course of the two-year grant period, PennFuture used its expertise on wind energy policy and development in Pennsylvania and expanded it to other states in the Mid-Atlantic region. PennFuture accomplished this through reaching out and establishing connections with policy makers, local environmental groups, health and economic development organizations, and educational institutions and wind energy developers throughout the Mid-Atlantic region. PennFuture conducted two regional wind educational forums that brought together wind industry representatives and public interest organizations from across the region to discuss and address wind development in the Mid-Atlantic region. PennFuture developed the agenda and speakers in collaboration with experts on the ground in each state to help determine the critical issue to wind energy in each location. The sessions focused on topics ranging from the basics of wind development; model ordinance and tax issues; anti-wind arguments and counter points; wildlife issues and coalition building. In addition to in-person events, PennFuture held three webinars on (1) Generating Jobs with Wind Energy; (2) Reviving American Manufacturing with Wind Power; and (3) Wind and Transmission. PennFuture also created a web page for the institute (http://www.midatlanticwind.org) that contains an online database of fact sheets, research reports, sample advocacy letters, top anti-wind claims and information on how to address them, wind and wildlife materials and sample model ordinances. Video and presentations from each in-person meeting and webinar recordings are also available on the site. At the end of the two-year period, PennFuture has accomplished its goal of giving a unified voice and presence to wind energy advocates in the Mid-Atlantic region. We educated a broad range of stakeholders on the benefits of wind energy and gave them the tools to help make a difference in their states. We grew a database of over 500 contacts and hope to continue the discussion and work around the importance of wind energy in the region.

  3. A Hierarchical Evaluation of Regional Climate Simulations

    SciTech Connect (OSTI)

    Leung, Lai-Yung R.; Ringler, Todd; Collins, William D.; Taylor, Mark; Ashfaq, Moetasim

    2013-08-20T23:59:59.000Z

    Global climate models (GCMs) are the primary tools for predicting the evolution of the climate system. Through decades of development, GCMs have demonstrated useful skill in simulating climate at continental to global scales. However, large uncertainties remain in projecting climate change at regional scales, which limit our ability to inform decisions on climate change adaptation and mitigation. To bridge this gap, different modeling approaches including nested regional climate models (RCMs), global stretch-grid models, and global high-resolution atmospheric models have been used to provide regional climate simulations (Leung et al. 2003). In previous efforts to evaluate these approaches, isolating their relative merits was not possible because factors such as dynamical frameworks, physics parameterizations, and model resolutions were not systematically constrained. With advances in high performance computing, it is now feasible to run coupled atmosphere-ocean GCMs at horizontal resolution comparable to what RCMs use today. Global models with local refinement using unstructured grids have become available for modeling regional climate (e.g., Rauscher et al. 2012; Ringler et al. 2013). While they offer opportunities to improve climate simulations, significant efforts are needed to test their veracity for regional-scale climate simulations.

  4. Multilateral, regional and bilateral energy trade governance

    SciTech Connect (OSTI)

    Leal-Arcas, Rafael; Grasso, Costantino; Rios, Juan Alemany (Queen Mary Univ. of London (United Kingdom))

    2014-12-01T23:59:59.000Z

    The current international energy trade governance system is fragmented and multi-layered. Streamlining it for greater legal cohesiveness and international political and economic cooperation would promote global energy security. The current article explores three levels of energy trade governance: multilateral, regional and bilateral. Most energy-rich countries are part of the multilateral trading system, which is institutionalized by the World Trade Organization (WTO). The article analyzes the multilateral energy trade governance system by focusing on the WTO and energy transportation issues. Regionally, the article focuses on five major regional agreements and their energy-related aspects and examines the various causes that explain the proliferation of regional trade agreements, their compatibility with WTO law, and then provides several examples of regional energy trade governance throughout the world. When it comes to bilateral energy trade governance, this article only addresses the European Union’s (EU) bilateral energy trade relations. The article explores ways in which gaps could be filled and overlaps eliminated whilst remaining true to the high-level normative framework, concentrating on those measures that would enhance EU energy security.

  5. IS ACTIVE REGION CORE VARIABILITY AGE DEPENDENT?

    SciTech Connect (OSTI)

    Ugarte-Urra, Ignacio [College of Science, George Mason University, 4400 University Drive, Fairfax, VA 22030 (United States); Warren, Harry P. [Space Science Division, Naval Research Laboratory, Washington, DC 20375 (United States)

    2012-12-10T23:59:59.000Z

    The presence of both steady and transient loops in active region cores has been reported from soft X-ray and extreme-ultraviolet observations of the solar corona. The relationship between the different loop populations, however, remains an open question. We present an investigation of the short-term variability of loops in the core of two active regions in the context of their long-term evolution. We take advantage of the nearly full Sun observations of STEREO and Solar Dynamics Observatory spacecraft to track these active regions as they rotate around the Sun multiple times. We then diagnose the variability of the active region cores at several instances of their lifetime using EIS/Hinode spectral capabilities. We inspect a broad range of temperatures, including for the first time spatially and temporally resolved images of Ca XIV and Ca XV lines. We find that the active region cores become fainter and steadier with time. The significant emission measure at high temperatures that is not correlated with a comparable increase at low temperatures suggests that high-frequency heating is viable. The presence, however, during the early stages, of an enhanced emission measure in the ''hot'' (3.0-4.5 MK) and ''cool'' (0.6-0.9 MK) components suggests that low-frequency heating also plays a significant role. Our results explain why there have been recent studies supporting both heating scenarios.

  6. Future regional climate change in the ten hydrologic regions of California: A climate modeling investigation

    E-Print Network [OSTI]

    Sloan, Lisa C

    2005-01-01T23:59:59.000Z

    snow accumulation (mm snow water equivalent) by region.Bell, J.L. , Jour. American Water Resources Assoc. , 591-CO, 1993. Department of Water Resources (DWR), California

  7. Regional Lead Agents and County Coordinators 2011 RESPONSIBILITY NAME COUNTY

    E-Print Network [OSTI]

    Bolding, M. Chad

    #12;Regional Lead Agents and County Coordinators 2011 RESPONSIBILITY NAME COUNTY REGION 1 Regional Lead Millie Davenport HGIC County Coordinator Matt Burns Pickens County Coordinator Marty Watt Anderson County Coordinator Morris Warner Oconee REGION 2 Regional Lead Danny Howard Greenville County Coordinator

  8. Extended emission associated with young HII regions

    E-Print Network [OSTI]

    S. P. Ellingsen; S. S. Shabala; S. E. Kurtz

    2004-12-06T23:59:59.000Z

    We have used the Australia Telescope Compact Array (ATCA) to make observations of a sample of eight young ultra-compact HII regions, selected on the basis that they have associated class II methanol maser emission. We have made observations sensitive to both compact and extended structures and find both to be present in most sources. The scale of the extended emission in our sample is in general less than that observed towards samples based on IRAS properties, or large single-dish flux densities. Our observations are consistent with a scenario where extended and compact radio continuum emission coexists within HII regions for a significant period of time. We suggest that these observations are consistent with a model where HII evolution takes place within hierarchically structured molecular clouds. This model is the subject of a companion paper (Shabala et al. 2005) and addresses both the association between compact and extended emission and UCHII region lifetime problem.

  9. SOUTHWEST REGIONAL PARTNERSHIP ON CARBON SEQUESTRATION

    SciTech Connect (OSTI)

    Brian McPherson; Rick Allis; Barry Biediger; Joel Brown; Jim Cappa; George Guthrie; Richard Hughes; Eugene Kim; Robert Lee; Dennis Leppin; Charles Mankin; Orman Paananen; Rajesh Pawar; Tarla Peterson; Steve Rauzi; Jerry Stuth; Genevieve Young

    2004-11-01T23:59:59.000Z

    The Southwest Partnership Region includes six whole states, including Arizona, Colorado, Kansas, New Mexico, Oklahoma, and Utah, roughly one-third of Texas, and significant portions of adjacent states. The Partnership comprises a large, diverse group of expert organizations and individuals specializing in carbon sequestration science and engineering, as well as public policy and outreach. The main objective of the Southwest Partnership project is to achieve an 18% reduction in carbon intensity by 2012. The Partnership made great progress in this first year. Action plans for possible Phase II carbon sequestration pilot tests in the region are almost finished, including both technical and non-technical aspects necessary for developing and carrying out these pilot tests. All partners in the Partnership are taking an active role in evaluating and ranking optimum sites and technologies for capture and storage of CO{sub 2} in the Southwest Region. We are identifying potential gaps in all aspects of potential sequestration deployment issues.

  10. Light emitting device having peripheral emissive region

    DOE Patents [OSTI]

    Forrest, Stephen R

    2013-05-28T23:59:59.000Z

    Light emitting devices are provided that include one or more OLEDs disposed only on a peripheral region of the substrate. An OLED may be disposed only on a peripheral region of a substantially transparent substrate and configured to emit light into the substrate. Another surface of the substrate may be roughened or include other features to outcouple light from the substrate. The edges of the substrate may be beveled and/or reflective. The area of the OLED(s) may be relatively small compared to the substrate surface area through which light is emitted from the device. One or more OLEDs also or alternatively may be disposed on an edge of the substrate about perpendicular to the surface of the substrate through which light is emitted, such that they emit light into the substrate. A mode expanding region may be included between each such OLED and the substrate.

  11. Curvature invariants in type-III spacetimes

    E-Print Network [OSTI]

    V. Pravda

    1999-08-17T23:59:59.000Z

    The results of paper [1] are generalized for vacuum type-III solutions with, in general, a non-vanishing cosmological constant Lambda. It is shown that all curvature invariants containing derivatives of the Weyl tensor vanish if a type-III spacetime admits a non-expanding and non-twisting null geodesic congruence. A non-vanishing curvature invariant containing first derivatives of the Weyl tensor is found in the case of type-III spacetime with expansion or twist.

  12. FY08 LDRD Final Report Regional Climate

    SciTech Connect (OSTI)

    Bader, D C; Chin, H; Caldwell, P M

    2009-05-19T23:59:59.000Z

    An integrated, multi-model capability for regional climate change simulation is needed to perform original analyses to understand and prepare for the impacts of climate change on the time and space scales that are critical to California's future environmental quality and economic prosperity. Our intent was to develop a very high resolution regional simulation capability to address consequences of climate change in California to complement the global modeling capability that is supported by DOE at LLNL and other institutions to inform national and international energy policies. The California state government, through the California Energy Commission (CEC), institutionalized the State's climate change assessment process through its biennial climate change reports. The bases for these reports, however, are global climate change simulations for future scenarios designed to inform international policy negotiations, and are primarily focused on the global to continental scale impacts of increasing emissions of greenhouse gases. These simulations do not meet the needs of California public and private officials who will make major decisions in the next decade that require an understanding of climate change in California for the next thirty to fifty years and its effects on energy use, water utilization, air quality, agriculture and natural ecosystems. With the additional development of regional dynamical climate modeling capability, LLNL will be able to design and execute global simulations specifically for scenarios important to the state, then use those results to drive regional simulations of the impacts of the simulated climate change for regions as small as individual cities or watersheds. Through this project, we systematically studied the strengths and weaknesses of downscaling global model results with a regional mesoscale model to guide others, particularly university researchers, who are using the technique based on models with less complete parameterizations or coarser spatial resolution. Further, LLNL has now built a capability in state-of-the-science mesoscale climate modeling that complements that which it has in global climate simulation, providing potential sponsors with an end-to-end simulation and analysis program.

  13. Turbulent Combustion in Type Ia Supernova Models

    E-Print Network [OSTI]

    F. K. Roepke; W. Hillebrandt

    2006-09-15T23:59:59.000Z

    We review the astrophysical modeling of type Ia supernova explosions and describe numerical methods to implement numerical simulations of these events. Some results of such simulations are discussed.

  14. Convolution type operators on locally compact groups

    E-Print Network [OSTI]

    Shtein--~erg, Convolution Type Operators on Locally Compact Groups [in Russian],. Manuscript Deposited in the All-Union Institute of Scientific and Technical ...

  15. Type B Accident Investigation, Subcontractor Employee Personal...

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

    February 18, 2003, at the East Tennessee Technology Park, Oak Ridge, Tennessee Type B Accident Investigation, Subcontractor Employee Personal Protective Equipment Ignition Incident...

  16. Silicon on insulator with active buried regions

    DOE Patents [OSTI]

    McCarthy, Anthony M. (Menlo Park, CA)

    1998-06-02T23:59:59.000Z

    A method for forming patterned buried components, such as collectors, sources and drains, in silicon-on-insulator (SOI) devices. The method is carried out by epitaxially growing a suitable sequence of single or multiple etch stop layers ending with a thin silicon layer on a silicon substrate, masking the silicon such that the desired pattern is exposed, introducing dopant and activating in the thin silicon layer to form doped regions. Then, bonding the silicon layer to an insulator substrate, and removing the silicon substrate. The method additionally involves forming electrical contact regions in the thin silicon layer for the buried collectors.

  17. Silicon on insulator with active buried regions

    DOE Patents [OSTI]

    McCarthy, A.M.

    1996-01-30T23:59:59.000Z

    A method is disclosed for forming patterned buried components, such as collectors, sources and drains, in silicon-on-insulator (SOI) devices. The method is carried out by epitaxially growing a suitable sequence of single or multiple etch stop layers ending with a thin silicon layer on a silicon substrate, masking the silicon such that the desired pattern is exposed, introducing dopant and activating in the thin silicon layer to form doped regions. Then, bonding the silicon layer to an insulator substrate, and removing the silicon substrate. The method additionally involves forming electrical contact regions in the thin silicon layer for the buried collectors. 10 figs.

  18. Silicon on insulator with active buried regions

    DOE Patents [OSTI]

    McCarthy, Anthony M. (Menlo Park, CA)

    1996-01-01T23:59:59.000Z

    A method for forming patterned buried components, such as collectors, sources and drains, in silicon-on-insulator (SOI) devices. The method is carried out by epitaxially growing a suitable sequence of single or multiple etch stop layers ending with a thin silicon layer on a silicon substrate, masking the silicon such that the desired pattern is exposed, introducing dopant and activating in the thin silicon layer to form doped regions. Then, bonding the silicon layer to an insulator substrate, and removing the silicon substrate. The method additionally involves forming electrical contact regions in the thin silicon layer for the buried collectors.

  19. Silicon on insulator with active buried regions

    DOE Patents [OSTI]

    McCarthy, A.M.

    1998-06-02T23:59:59.000Z

    A method is disclosed for forming patterned buried components, such as collectors, sources and drains, in silicon-on-insulator (SOI) devices. The method is carried out by epitaxially growing a suitable sequence of single or multiple etch stop layers ending with a thin silicon layer on a silicon substrate, masking the silicon such that the desired pattern is exposed, introducing dopant and activating in the thin silicon layer to form doped regions. Then, bonding the silicon layer to an insulator substrate, and removing the silicon substrate. The method additionally involves forming electrical contact regions in the thin silicon layer for the buried collectors. 10 figs.

  20. 2030 Northwest Arkansas Regional Transportation Plan

    E-Print Network [OSTI]

    Northwest Arkansas Regional Planning Commission

    2006-04-20T23:59:59.000Z

    united front. B. Regional Transportation History An early road was established through Northwest Arkansas in the 1830s linking Fort Smith to points in southern Missouri and on to St. Louis. By the mid 1800s many roads crossed the growing region including... the historic Butterfield Overland Coach Road that linked St. Louis and San Francisco. The Civil War brought troop movements through the area with major battles being fought at Pea Ridge and Prairie Grove. The University of Arkansas was established in 1872...

  1. SPEER: Building a Regional Energy Efficiency Partnership 

    E-Print Network [OSTI]

    Lewin, D.

    2013-01-01T23:59:59.000Z

    SPEER: Building a Regional Energy Efficiency Partnership Clean Air Through Energy Efficiency Conference – San Antonio, TX Doug Lewin December 18, 2013 ESL-KT-13-12-52 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas... Dec. 16-18 SPEER • Member-based, non-profit organization • The Newest Regional Energy Efficiency Organization (REEO) • Founded in 2011 • 38 members from wide cross section of E.E. industries ESL-KT-13-12-52 CATEE 2013: Clean Air Through Energy...

  2. SPEER: Building a Regional Energy Efficiency Partnership

    E-Print Network [OSTI]

    Lewin, D.

    2013-01-01T23:59:59.000Z

    SPEER: Building a Regional Energy Efficiency Partnership Clean Air Through Energy Efficiency Conference – San Antonio, TX Doug Lewin December 18, 2013 ESL-KT-13-12-52 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas... Dec. 16-18 SPEER • Member-based, non-profit organization • The Newest Regional Energy Efficiency Organization (REEO) • Founded in 2011 • 38 members from wide cross section of E.E. industries ESL-KT-13-12-52 CATEE 2013: Clean Air Through Energy...

  3. Southwest Regional Partnership on Carbon Sequestration

    SciTech Connect (OSTI)

    Brian McPherson

    2006-03-31T23:59:59.000Z

    The Southwest Partnership on Carbon Sequestration completed its Phase I program in December 2005. The main objective of the Southwest Partnership Phase I project was to evaluate and demonstrate the means for achieving an 18% reduction in carbon intensity by 2012. Many other goals were accomplished on the way to this objective, including (1) analysis of CO{sub 2} storage options in the region, including characterization of storage capacities and transportation options, (2) analysis and summary of CO{sub 2} sources, (3) analysis and summary of CO{sub 2} separation and capture technologies employed in the region, (4) evaluation and ranking of the most appropriate sequestration technologies for capture and storage of CO{sub 2} in the Southwest Region, (5) dissemination of existing regulatory/permitting requirements, and (6) assessing and initiating public knowledge and acceptance of possible sequestration approaches. Results of the Southwest Partnership's Phase I evaluation suggested that the most convenient and practical ''first opportunities'' for sequestration would lie along existing CO{sub 2} pipelines in the region. Action plans for six Phase II validation tests in the region were developed, with a portfolio that includes four geologic pilot tests distributed among Utah, New Mexico, and Texas. The Partnership will also conduct a regional terrestrial sequestration pilot program focusing on improved terrestrial MMV methods and reporting approaches specific for the Southwest region. The sixth and final validation test consists of a local-scale terrestrial pilot involving restoration of riparian lands for sequestration purposes. The validation test will use desalinated waters produced from one of the geologic pilot tests. The Southwest Regional Partnership comprises a large, diverse group of expert organizations and individuals specializing in carbon sequestration science and engineering, as well as public policy and outreach. These partners include 21 state government agencies and universities, five major electric utility companies, seven oil, gas and coal companies, three federal agencies, the Navajo Nation, several NGOs, and the Western Governors Association. This group is continuing its work in the Phase II Validation Program, slated to conclude in 2009.

  4. Regional assessment of aquifers for thermal-energy storage. Volume 2. Regions 7 through 12

    SciTech Connect (OSTI)

    Not Available

    1981-06-01T23:59:59.000Z

    This volume contains information on the geologic and hydrologic framework, major aquifers, aquifers which are suitable and unsuitable for annual thermal energy storage (ATES) and the ATES potential of the following regions of the US: Unglaciated Central Region; Glaciated Appalachians, Unglaciated Appalachians; Coastal Plain; Hawaii; and Alaska. (LCL)

  5. Regional assessment of aquifers for thermal energy storage. Volume 1. Regions 1 through 6

    SciTech Connect (OSTI)

    Not Available

    1981-06-01T23:59:59.000Z

    This volume contains information on the geologic and hydrologic framework, major aquifers, aquifers which are suitable and unsuitable for annual thermal energy storage (ATES) and the ATES potential of the following regions of the US: the Western Mountains; Alluvial Basins; Columbia LAVA Plateau; Colorado Plateau; High Plains; and Glaciated Central Region. (LCL)

  6. Regional Interagency Steering GIS Sub-Committee for FEMA's Region II Caribbean Area Division

    E-Print Network [OSTI]

    Gilbes, Fernando

    Regional Interagency Steering GIS Sub-Committee for FEMA's Region II Caribbean Area Division Jimmy Rodríguez-Zamora Caribbean Area Division, San Juan, Puerto Rico 00918 Department of Homeland Security also. This effort is being carried out at the Caribbean Area Division as New York and New Jersey

  7. Minutes of Southern Region Animal Waste Team: Southern Regional Water Quality Project Animal Waste Management Topic

    E-Print Network [OSTI]

    : Southern Animal and Waste Management Quarterly 2. Format & length: Electronic, pdf and MSWord (by requestMinutes of Southern Region Animal Waste Team: Southern Regional Water Quality Project Animal Waste with the Symposium on the State of the Science: Animal Manure and Waste Management Attended by: M. Risse (UGA), T

  8. african region summary: Topics by E-print Network

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

    model (MRCM) in simulating the West African monsoon. The MRCM is built on the Regional Climate Model, ... Im, Eun-Soon 12 Regional Summary Gulf of Mexico Region Management...

  9. Drive-access transit : a regional analytical framework

    E-Print Network [OSTI]

    Sorensen, James B

    2005-01-01T23:59:59.000Z

    A framework for analyzing drive-access transit at a regional level is developed in this research. This framework is intended primarily for in-house use by regional transit agencies, yet has implications for the regional ...

  10. AGN Environments in the Sloan Digital Sky Survey I: Dependence on Type, Redshift, and Luminosity

    E-Print Network [OSTI]

    Natalie E. Strand; Robert J. Brunner; Adam D. Myers

    2008-07-24T23:59:59.000Z

    We explore how the local environment is related to the redshift, type, and luminosity of active galactic nuclei (AGN). Recent simulations and observations are converging on the view that the extreme luminosity of quasars is fueled in major mergers of gas-rich galaxies. In such a picture, quasars are expected to be located in regions with a higher density of galaxies on small scales where mergers are more likely to take place. However, in this picture, the activity observed in low-luminosity AGN is due to secular processes that are less dependent on the local galaxy density. To test this hypothesis, we compare the local photometric galaxy density on kiloparsec scales around spectroscopic Type I and Type II quasars to the local density around lower luminosity spectroscopic Type I and Type II AGN. To minimize projection effects and evolution in the photometric galaxy sample we use to characterize AGN environments, we place our random control sample at the same redshift as our AGN and impose a narrow redshift window around both the AGN and control targets. We find that higher luminosity AGN have more overdense environments compared to lower luminosity AGN on all scales out to our $2\\Mpchseventy$ limit. Additionally, in the range $0.3\\leqslant z\\leqslant 0.6$, Type II quasars have similarly overdense environments to those of bright Type I quasars on all scales out to our $2\\Mpchseventy$ limit, while the environment of dimmer Type I quasars appears to be less overdense than the environment of Type II quasars. We see increased overdensity for Type II AGN compared to Type I AGN on scales out to our limit of $2\\Mpchseventy$ in overlapping redshift ranges. We also detect marginal evidence for evolution in the number of galaxies within $2\\Mpchseventy$ of a quasar with redshift.

  11. Interaction Region Issues at the NLC

    SciTech Connect (OSTI)

    Markiewicz, Thomas W.; Maruyama, T.; /SLAC

    2007-09-26T23:59:59.000Z

    Two detector concepts are being investigated for the Next Linear Collider. This paper discusses the current design of the interaction region for one of them, based on a 6 Tesla solenoid and silicon based tracking. Topics include masking layout, backgrounds and the suppression of final quadrupole jitter. All calculations are based on the 1 TeV design parameters.

  12. Southeast Regional Clean Energy Policy Analysis (Revised)

    SciTech Connect (OSTI)

    McLaren, J.

    2011-04-01T23:59:59.000Z

    More than half of the electricity produced in the southeastern states is fuelled by coal. Although the region produces some coal, most of the states depend heavily on coal imports. Many of the region's aging coal power facilities are planned for retirement within the next 20 years. However, estimates indicate that a 20% increase in capacity is needed over that time to meet the rapidly growing demand. The most common incentives for energy efficiency in the Southeast are loans and rebates; however, total public spending on energy efficiency is limited. The most common state-level policies to support renewable energy development are personal and corporate tax incentives and loans. The region produced 1.8% of the electricity from renewable resources other than conventional hydroelectricity in 2009, half of the national average. There is significant potential for development of a biomass market in the region, as well as use of local wind, solar, methane-to-energy, small hydro, and combined heat and power resources. Options are offered for expanding and strengthening state-level policies such as decoupling, integrated resource planning, building codes, net metering, and interconnection standards to support further clean energy development. Benefits would include energy security, job creation, insurance against price fluctuations, increased value of marginal lands, and local and global environmental paybacks.

  13. Finding Regions of Interest on Toroidal Meshes

    SciTech Connect (OSTI)

    Wu, Kesheng; Sinha, Rishi R; Jones, Chad; Ethier, Stephane; Klasky, Scott; Ma, Kwan-Liu; Shoshani, Arie; Winslett, Marianne

    2011-02-09T23:59:59.000Z

    Fusion promises to provide clean and safe energy, and a considerable amount of research effort is underway to turn this aspiration intoreality. This work focuses on a building block for analyzing data produced from the simulation of microturbulence in magnetic confinementfusion devices: the task of efficiently extracting regions of interest. Like many other simulations where a large amount of data are produced,the careful study of ``interesting'' parts of the data is critical to gain understanding. In this paper, we present an efficient approach forfinding these regions of interest. Our approach takes full advantage of the underlying mesh structure in magnetic coordinates to produce acompact representation of the mesh points inside the regions and an efficient connected component labeling algorithm for constructingregions from points. This approach scales linearly with the surface area of the regions of interest instead of the volume as shown with bothcomputational complexity analysis and experimental measurements. Furthermore, this new approach is 100s of times faster than a recentlypublished method based on Cartesian coordinates.

  14. Superfund Dredging Restoration Results in Widespread Regional

    E-Print Network [OSTI]

    Levinton, Jeffrey

    Superfund Dredging Restoration Results in Widespread Regional Reduction in Cadmium in Blue Crabs J connected to the Hudson River estuary. A major Superfund dredging cleanup in 1994-1995 removed most ofcadmiumsedimentconcentrationswithinthecovefollowing the cleanup. This unique study demonstrates the efficacy of a major dredging cleanup

  15. Root region airfoil for wind turbine

    DOE Patents [OSTI]

    Tangler, James L. (Boulder, CO); Somers, Dan M. (State College, PA)

    1995-01-01T23:59:59.000Z

    A thick airfoil for the root region of the blade of a wind turbine. The airfoil has a thickness in a range from 24%-26% and a Reynolds number in a range from 1,000,000 to 1,800,000. The airfoil has a maximum lift coefficient of 1.4-1.6 that has minimum sensitivity to roughness effects.

  16. Compilationof Regional to Global Inventoriesof Anthropogenic Emissions

    E-Print Network [OSTI]

    inventories of emissions of the trace species included in the study at the appropriate sectoral, spatial inventories calculated global emissions by large geographic areas (Vfkhelyi, 1985), with very little spatial to compile regional to global inventories of anthropogenic emissions. This discussion is by no means

  17. Regional Report New Jersey's New Economy

    E-Print Network [OSTI]

    Rutgers Regional Report New Jersey's New Economy Growth Challenges James W. Hughes Dean Edward J July 2006 #12;advanced new-economy peers--New York, Connecticut, and Massachusetts--have been experi- encing employment declines in the post­2000 period in a number of important "new economy" sectors

  18. Southern Region Water Quality Coordination Project

    E-Print Network [OSTI]

    an existing collaborative process through which new and existing technologies and management systems Committee (SRWQPC) promotes the development and delivery of effective management systems that can be adaptedSouthern Region Water Quality Coordination Project September 14, 2004 to June 1, 2005 Progress

  19. Magnetic Landscape of Sun's Polar Region

    E-Print Network [OSTI]

    S. Tsuneta; K. Ichimoto; Y. Katsukawa; B. W. Lites; K. Matsuzaki; S. Nagata; D. Orozco Suarez; T. Shimizu; M. Shimojo; R. A. Shine; Y. Suematsu; T. K. Suzuki; T. D. Tarbell; A. M. Title

    2008-08-08T23:59:59.000Z

    We present the magnetic landscape of the polar region of the Sun that is unprecedented in terms of high spatial resolution, large field of view, and polarimetric precision. These observations were carried out with the Solar Optical Telescope aboard \\emph{Hinode}. Using a Milne-Eddington inversion, we found many vertically-oriented magnetic flux tubes with field strength as strong as 1 kG that are scattered in latitude between 70-90 degree. They all have the same polarity, consistent with the global polarity of the polar region. The field vectors were observed to diverge from the center of the flux elements, consistent with a view of magnetic fields that expand and fan out with height. The polar region is also covered with ubiquitous horizontal fields. The polar regions are the source of the fast solar wind channelled along unipolar coronal magnetic fields whose photospheric source is evidently rooted in the strong field, vertical patches of flux. We conjecture that vertical flux tubes with large expansion around the photosphere-corona boundary serve as efficient chimneys for Alfven waves that accelerate the solar wind.

  20. Pennsylvania Institute of State and Regional Affairs

    E-Print Network [OSTI]

    Maroncelli, Mark

    SDCPa Pennsylvania State Data Center Institute of State and Regional Affairs Penn State Harrisburg 777 W. Harrisburg Pike Middletown, PA 17057-4898 Phone: (717) 948-6336 Fax: (717) 948-6754 E-mail: Pa in Pennsylvania since it was established at Penn State Harrisburg in 1973. The Institute was created as a means