Sample records for megawatthours entity type

  1. Table 5_EntityEmissions.xls

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1

  2. 2013 Total Electric Industry- Sales (Megawatthours

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi" ,"Plant","Primary1. TotalRevenue for

  3. Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links

    E-Print Network [OSTI]

    Airoldi, Edoardo "Edo"

    13 Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links Ramnath.1 Introduction ................................................................................ 256 13.2 Block-entity link modeling by jointly modeling links and text about the entities that are linked. We apply the model

  4. Block-LDA: Jointly modeling entity-annotated text and entity-entity Ramnath Balasubramanyan

    E-Print Network [OSTI]

    Cohen, William W.

    Block-LDA: Jointly modeling entity-annotated text and entity-entity links Ramnath Balasubramanyan established by Nallapati et al. [6]. In this paper, we present a model, Block-LDA, that jointly generates text in topic models with blocks in stochastic block models. The joint modeling permits sharing of in- formation

  5. Business Entity Planning

    E-Print Network [OSTI]

    Thompson, Bill; Hayenga, Wayne

    2008-10-10T23:59:59.000Z

    , producers working together may have a joint operating agreement. The general characteristics of these business entities are summarized in Table 1. 3 T a b l e 1 . C o m pa r i s o n o f fa r m b u s i n e s s e n t i t i e s . S o l e p r o p ri e t o r J... o i n t o p e ra t i o n Pa r t n e r s h ip L i m it e d p a r t n e r s h i p `p a n y Cor p or a t i o n L i f e o f b u s i n e s s T e r m i n a t e s o n d e a t h . T e r m i n a t e s o n d e a t h . A g r e e d t e r m , m a y t e r m i n a...

  6. Business Entity Planning 

    E-Print Network [OSTI]

    Thompson, Bill; Hayenga, Wayne

    2008-10-10T23:59:59.000Z

    , producers working together may have a joint operating agreement. The general characteristics of these business entities are summarized in Table 1. 3 T a b l e 1 . C o m pa r i s o n o f fa r m b u s i n e s s e n t i t i e s . S o l e p r o p ri e t o r J... o i n t o p e ra t i o n Pa r t n e r s h ip L i m it e d p a r t n e r s h i p `p a n y Cor p or a t i o n L i f e o f b u s i n e s s T e r m i n a t e s o n d e a t h . T e r m i n a t e s o n d e a t h . A g r e e d t e r m , m a y t e r m i n a...

  7. Named entity tagged language models. 

    E-Print Network [OSTI]

    Gotoh, Yoshihiko; Renals, Steve; Williams, Gethin

    1999-01-01T23:59:59.000Z

    We introduce Named Entity (NE) Language Modelling, a stochastic finite state machine approach to identifying both words and NE categories from a stream of spoken data. We provide an overview of our approach to NE tagged language model (LM...

  8. Wave function as geometric entity

    E-Print Network [OSTI]

    B. I. Lev

    2011-02-10T23:59:59.000Z

    A new approach to the geometrization of the electron theory is proposed. The particle wave function is represented by a geometric entity, i.e., Clifford number, with the translation rules possessing the structure of Dirac equation for any manifold. A solution of this equation is obtained in terms of geometric treatment. Interference of electrons whose wave functions are represented by geometric entities is considered. New experiments concerning the geometric nature of electrons are proposed.

  9. Table3_EntityReductions.xls

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

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

  10. Exploratory Patent Search with Faceted Search and Configurable Entity Mining

    E-Print Network [OSTI]

    Tzitzikas, Yannis

    Exploratory Patent Search with Faceted Search and Configurable Entity Mining Pavlos Fafalios1 Searching for patents is usually a recall-oriented problem and depending on the patent search type, quite. We propose an exploratory strategy for patent search that exploits the metadata already available

  11. NYU-Fair Isaac-RWTH 07 Chinese to English Entity Translation System

    E-Print Network [OSTI]

    the overall architecture of the Chinese to English ACE 2007 EDR and ET (Entity Translation) system developed MT results. We also combine Chinese EDR and English EDR systems according to different entity types, and encode the difference between two language EDRs to improve ET results. In addition, we incorporated

  12. Rasmussen's Aneurysm: A Forgotten Entity?

    SciTech Connect (OSTI)

    Keeling, A. N. [Beaumont Hospital, Department of Academic Radiology (Ireland); Costello, R. [Beaumont Hospital, Department of Respiratory Medicine (Ireland); Lee, M. J. [Beaumont Hospital, Department of Academic Radiology (Ireland)], E-mail: mlee@rcsi.ie

    2008-01-15T23:59:59.000Z

    We present the case of a rare entity which is a complication of a disease process that had almost disappeared from the Western World. With the recent resurgence in reported cases of Mycobacterium tuberculosis (TB) in Western communities, it is important to recognize complications and sequelae. A young alcoholic male with confirmed active TB suffered a cardiac arrest following massive haemoptysis. Multidetector computed tomography angiography diagnosed a Rasmussen's aneurysm, confirmed by digital subtraction angiography and then successfully embolized with glue. We outline this rare case and the embolization technique and review previously documented reports.

  13. Imnaha Subbasin Inventory Subbasin Lead Entity

    E-Print Network [OSTI]

    Imnaha Subbasin Inventory May 2004 Written by Ecovista Subbasin Lead Entity: Nez Perce Tribe.......................................................................... 15 List of Tables TABLE 1. ACRONYMS USED IN THE IMNAHA SUBBASIN INVENTORY

  14. UNIVERSITY OF ROCHESTER AND RELATED ENTITIES

    E-Print Network [OSTI]

    statements, the University acquired F.F. Thompson Health System, Inc. effective August 31, 2012 and accountedUNIVERSITY OF ROCHESTER AND RELATED ENTITIES Consolidated Financial Statements June 30, 2013 and 2012 #12;UNIVERSITY OF ROCHESTER AND RELATED ENTITIES Consolidated Financial Statements June 30, 2013

  15. Imnaha Subbasin Management Plan Subbasin Lead Entity

    E-Print Network [OSTI]

    Imnaha Subbasin Management Plan May 2004 Written by Ecovista Subbasin Lead Entity: Nez Perce Tribe....................................................................................... 6 1.2.4 Ecovista Website Information.......................................................................... 59 4.3 Terrestrial Data and Information Gaps

  16. Sepia : semantic parsing for named entities

    E-Print Network [OSTI]

    Marton, Gregory A. (Gregory Adam), 1977-

    2004-01-01T23:59:59.000Z

    People's names, dates, locations, organizations, and various numeric expressions, collectively called Named Entities, are used to convey specific meanings to humans in the same way that identifiers and constants convey ...

  17. Entity Linking at the Tail: Sparse Signals, Unknown Entities, and Phrase Models

    E-Print Network [OSTI]

    Hunt, Galen

    · Naïve Bayes · PPP Achieves 95% Precision, with over 60% recall 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0.3 0) PPP (word) PPP (phrase) Most entities on web are "tail" entities More confounds; more uniform prior

  18. Deep Web Entity Monitoring Mohammadreza Khelghati

    E-Print Network [OSTI]

    Hiemstra, Djoerd

    Deep Web Entity Monitoring Mohammadreza Khelghati Database Group University of Twente, Netherlands. This data is defined as hidden web or deep web which is not accessible through search engines. It is estimated that deep web contains data in a scale several times bigger than the data accessible through

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming" "megawatthours"

  20. Table 3.1 Fuel Consumption, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming" "megawatthours"1

  1. Table 3.2 Fuel Consumption, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming" "megawatthours"12

  2. Table 3.3 Fuel Consumption, 2002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming" "megawatthours"123

  3. Table 3.3 Fuel Consumption, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming" "megawatthours"1233

  4. Appendix A-Mandated Reporter Categories Type of Entity or

    E-Print Network [OSTI]

    Sanders, Seth

    of or counselors in child abuse prevention programs community care or child day care facilities licensees bring the administrator or employee into contact with children on a regular basis, as to child abuse organizations administrators or employees health care professionals all licensed health professionals

  5. From Web Data to Entities and Back Zoltan Miklos1

    E-Print Network [OSTI]

    Palpanas, Themis

    From Web Data to Entities and Back Zolt´an Mikl´os1 , Nicolas Bonvin 1 , Paolo Bouquet2 , Michele important information about the entities and also have a unique identifier (OKKAM ID). The basic idea

  6. Reliability entity registration update - FACT SHEET- May 2007

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

    would register jointly as LSEDPs and identify in the registration submittal to WECC which responsibilities each entity would assume. 2 Option 3 - Joint registration...

  7. BPA Fact Sheet - Preparing for reliability entity registration...

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

    The Western Electric Coordinating Council (WECC) fulfi lls this role in the Western interconnection and has asked entities within this area to register according to the NERC...

  8. Student Research Abstract: Trustworthy Remote Entities in the Smart Grid

    E-Print Network [OSTI]

    Oxford, University of

    Student Research Abstract: Trustworthy Remote Entities in the Smart Grid Andrew J. Paverd to enhance user privacy by introducing a novel element into the smart grid architecture. The Trustworthy a group of smart meters and the external smart grid entities. The TRE enhances user privacy by providing

  9. Heng Ji & Ralph Grishman Collaborative Entity Extraction and Translation 1

    E-Print Network [OSTI]

    CONTENTS Heng Ji & Ralph Grishman Collaborative Entity Extraction and Translation 1 Index of Subjects and Terms 13 #12;vi CONTENTS #12;Collaborative Entity Extraction and Translation Heng Ji & Ralph s in language S from the #12;2 HENG JI & RALPH GRISHMAN properties of the sequence of tokens t with which

  10. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours" ,"Entity","Type of

  11. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours" ,"Entity","Type

  12. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type of

  13. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnited

  14. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

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

  15. Table 3.5 Selected Byproducts in Fuel Consumption, 2002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"

  16. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5

  17. "More Like These": Growing Entity Classes from Seeds Luis Sarmento

    E-Print Network [OSTI]

    de Rijke, Maarten

    do Porto Rua Dr. Roberto Frias, s/n Porto, Portugal eco@fe.up.pt ABSTRACT We present a corpus taken from a text collection to define a member- ship function that is used to rank candidate entities

  18. Retail Sales of Electricity (Megawatthours) by State by Sector by Provider, 1990

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April 25, 20137a.06Retail Sales of

  19. Video Entity Resolution: Applying ER Techniques for Smart Video Surveillance

    E-Print Network [OSTI]

    Kalashnikov, Dmitri V.

    buildings, smart grid, and so on. In this paper, we focus on smart surveillance systems wherein video improvements on how the building is used. One of the key challenges in building smart surveillance systemsVideo Entity Resolution: Applying ER Techniques for Smart Video Surveillance Liyan Zhang Ronen

  20. Network of Centers for Very Small Entities (VSEs)

    E-Print Network [OSTI]

    Québec, Université du

    Network of Centers for Very Small Entities (VSEs) Buenos Aires ArgentinaBuenos Aires, Argentina completed in Canada · Large Engineering Company - 1 · Offers a range of services in the production of hydro processes, checklists and templates · Process for Small projects used ISO/IEC 29110 Entry Profile · Process

  1. Network of Centers for Very Small Entities (VSEs)

    E-Print Network [OSTI]

    Québec, Université du

    · Publications ­ Implementation Guide ­ ISO 29110 x CMMI x MPS.BR ­ ISO 29110 x 9001 · Certification ­ FinancialNetwork of Centers for Very Small Entities (VSEs) Montréal, Canada November 30th, 2013 ISO/IEC JTC 1/SC 7- Working Group 24 #12;Belgium 2 http://survey.cetic.be/iso29110/english http://survey.cetic.be/iso

  2. Automatic Labeling for Entity Extraction in Cyber Security

    SciTech Connect (OSTI)

    Bridges, Robert A [ORNL] [ORNL; Jones, Corinne L [ORNL] [ORNL; Iannacone, Michael D [ORNL] [ORNL; Testa, Kelly M [ORNL] [ORNL; Goodall, John R [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    Timely analysis of cyber-security information necessitates automated information extraction from unstructured text. While state-of-the-art extraction methods produce extremely accurate results, they require ample training data, which is generally unavailable for specialized applications, such as detecting security related entities; moreover, manual annotation of corpora is very costly and often not a viable solution. In response, we develop a very precise method to automatically label text from several data sources by leveraging related, domain-specific, structured data and provide public access to a corpus annotated with cyber-security entities. Next, we implement a Maximum Entropy Model trained with the average perceptron on a portion of our corpus (~750,000 words) and achieve near perfect precision, recall, and accuracy, with training times under 17 seconds.

  3. A Holistic Solution for Duplicate Entity Identification in Deep Web Data Integration

    E-Print Network [OSTI]

    A Holistic Solution for Duplicate Entity Identification in Deep Web Data Integration Wei Liu 1 in deep Web data integration, the goal of duplicate entity identification is to discover the duplicate to deep Web data integration systems. That is, one duplicate entity matcher trained over two specific Web

  4. Resolving unwanted couplings through interactive exploration of co-evolving software entities An experience report

    E-Print Network [OSTI]

    van Vliet, Hans

    how interactive visualizations can support the process of analyzing the identified unwanted couplings of coupling between entities is then replaced by a more dynamic one. Entities that change together becauseResolving unwanted couplings through interactive exploration of co-evolving software entities

  5. The use of intelligence information to identify the foreign interests of entities involved with DOE programs

    SciTech Connect (OSTI)

    Not Available

    1993-10-22T23:59:59.000Z

    This report investigates whether DOE activities could benefit from greater and more consistent access to intelligence information on selected entities with foreign interests. It does not cover dual-use and munition commodities. The investigation determined what information was available from the national intelligence community and law enforcement agencies that would have prevented DOE contracts with selected entities if the information had been available and regulations regarding contracts with selected entities had been enforced.

  6. Sub-micrometer fluidic channel for measuring photon emitting entities

    DOE Patents [OSTI]

    Stavis, Samuel M; Edel, Joshua B; Samiee, Kevan T; Craighead, Harold G

    2014-11-18T23:59:59.000Z

    A nanofluidic channel fabricated in fused silica with an approximately 500 nm square cross section was used to isolate, detect and identify individual quantum dot conjugates. The channel enables the rapid detection of every fluorescent entity in solution. A laser of selected wavelength was used to excite multiple species of quantum dots and organic molecules, and the emission spectra were resolved without significant signal rejection. Quantum dots were then conjugated with organic molecules and detected to demonstrate efficient multicolor detection. PCH was used to analyze coincident detection and to characterize the degree of binding. The use of a small fluidic channel to detect quantum dots as fluorescent labels was shown to be an efficient technique for multiplexed single molecule studies. Detection of single molecule binding events has a variety of applications including high throughput immunoassays.

  7. autosomal-recessive entity caused: Topics by E-print Network

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

    Planning Texas A&M University - TxSpace Summary: , producers working together may have a joint operating agreement. The general characteristics of these business entities are...

  8. Project Name Project Number Tagging Type

    E-Print Network [OSTI]

    Project Name Project Number Primary Tagging Type Secondary Tagging Type Fish Species Tagging/ Secondary Legal Driver (BiOp, MOA, Accord, etc.) Tagging Purpose Funded Entity Tagging Location Retrieval CWT Recovery Project 2010-036-00 CWT PIT Chinook, coho retrieval, analysis, address PSMFC sampling

  9. AGENTS COME TO BITS: TOWARDS A CONSTRUCTIVE COMPREHENSIVE TAXONOMY OF ECONOMIC ENTITIES

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    AGENTS COME TO BITS: TOWARDS A CONSTRUCTIVE COMPREHENSIVE TAXONOMY OF ECONOMIC ENTITIES LEIGH process. Consequently, there is no longer supportable reason to adopt a narrow taxonomy of economically-relevant entities for applications where a more comprehensive taxonomy is clearly warranted. This essay presents

  10. Provably Repairing the ISO/IEC 9798 Standard for Entity Authentication

    E-Print Network [OSTI]

    Basin, David

    , or authentication of transmitted data [27,33]. The ISO (International Organization for Standardization) and IECProvably Repairing the ISO/IEC 9798 Standard for Entity Authentication David Basin, Cas Cremers the family of entity authentication protocols defined by the ISO/IEC 9798 standard and find numerous

  11. Provably Repairing the ISO/IEC 9798 Standard for Entity Authentication

    E-Print Network [OSTI]

    Basin, David

    (International Organization for Standardization) and IEC (Interna- tional Electrotechnical Commission) jointlyProvably Repairing the ISO/IEC 9798 Standard for Entity Authentication David Basin, Cas Cremers the family of entity authentication proto- cols defined by the ISO/IEC 9798 standard and find numerous

  12. Process Assessment In Very Small Entities An ISO/IEC 29110 based method

    E-Print Network [OSTI]

    Québec, Université du

    Process Assessment In Very Small Entities An ISO/IEC 29110 based method Timo Varkoi Tampere entities I. INTRODUCTION A new standard, ISO/IEC 29110 Software Engineering -- Lifecycle Profiles for Very. ISO/IEC 29110 Guides (TR) Assessment Guide (TR 29110-3) Management and Engineering Guide (TR 29110

  13. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours" ,"Entity","Type ofArizona"

  14. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours" ,"Entity","TypeColorado"

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours" ,"Entity","Type of

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours" ,"Entity","Type

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours" ,"Entity","TypeLouisiana"

  18. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours" ,"Entity","Type

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type of provider","All

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type of provider","AllTennessee"

  1. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnited States"

  2. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnited States"Utah"

  3. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnitedVirginia"

  4. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnitedVirginia"Washington"

  5. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","Type ofUnitedVirginia"Washington"West

  6. Table 3.5 Selected Byproducts in Fuel Consumption, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts in Fuel

  7. Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts in Fuel6

  8. Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts in

  9. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts in.

  10. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts in.0.

  11. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts in.0.1.

  12. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts

  13. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts3. Mean

  14. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts3. Mean4.

  15. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts3.

  16. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts3.6.

  17. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts3.6.7.

  18. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts3.6.7..

  19. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected Byproducts3.6.7..3.

  20. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected

  1. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected5. Light Usage by

  2. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected5. Light Usage by6.

  3. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected5. Light Usage

  4. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected5. Light Usage8.

  5. Table 4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected5. Light Usage8.9.

  6. Table 4. Electric power industry capability by primary energy source, 1990 throu

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected5. Light

  7. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected5. LightAlaska"

  8. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected5. LightAlaska"

  9. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected5.

  10. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5 Selected5.Colorado"

  11. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5Delaware"

  12. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5Delaware"District of

  13. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours" ,"Entity","TypeWyoming"5Delaware"District

  14. Mandatory Disclosure Requirements and Rating Agency Catering: A Study of the Rule Changes for Qualified Special Purpose Entities

    E-Print Network [OSTI]

    van den Berg, Jur

    for Qualified Special Purpose Entities Kevin Koharki The Pennsylvania State University kjk199@psu.edu December

  15. A Joint Model for Discovering and Linking Entities Michael Wick Sameer Singh Harshal Pandya Andrew McCallum

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    articles and blogs frequently discuss entities for which a Wikipedia entry exists (e.g., "Barack Obama (and the records in them) have become standard touchstones for identifying entities and relations not already provide links to these entity records, and (2) Wikipedia and its structured derivatives only

  16. A Scalable Approach for the Secure and Authorized Tracking of the Availability of Entities in Distributed Systems

    E-Print Network [OSTI]

    A Scalable Approach for the Secure and Authorized Tracking of the Availability of Entities continues to increase a need often arises to track the availability of entities that comprise- independent scheme for tracking the availability of entities in distributed systems. The scheme enforces

  17. Trends in U.S. regulatory approvals of the biopharmaceutical therapeutic entities

    E-Print Network [OSTI]

    Graham, James B., 1976-

    2005-01-01T23:59:59.000Z

    Pharmaceutical productivity, as measured by annual output of new molecular entities and new therapeutic biologics, has fallen significantly since reaching a peak in 1996. According to Food and Drug Administration (FDA) ...

  18. Preliminary Experience with Amazon's Mechanical Turk for Annotating Medical Named Entities

    E-Print Network [OSTI]

    Yetisgen-Yildiz, Meliha

    Language Proc- essing (NLP) project to automate the clinical trial eligi- bility screening of patients pilot study we used MTurk to annotate entities in the biomedical text. To our knowledge

  19. Diabetes Metab Res Rev. Author manuscript Anti-CD38 autoantibodies in type? diabetes

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Diabetes Metab Res Rev. Author manuscript Page /1 12 Anti-CD38 autoantibodies in type? diabetes.mallone@inserm.fr> Abstract Human diabetes mellitus comprises two main clinical entities: type 1 and type 2 diabetes. While type 1 diabetes is autoimmune in origin, type 2 diabetes is due to a decreased sensitivity to insulin

  20. Negotiated Learning for Smart Grid Agents: Entity Selection based on Dynamic Partially Observable Features

    E-Print Network [OSTI]

    Veloso, Manuela M.

    . Introduction Integration of distributed sustainable energy resources, e.g., wind and solar, into ourNegotiated Learning for Smart Grid Agents: Entity Selection based on Dynamic Partially Observable electricity supply is essential to reducing the environmental impact of our growing energy demand (Gomes 2009

  1. Towards Experience Management for Very Small Entities Vincent Ribaud, Philippe Saliou

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    to a VSE involved in the development of a single software application by a single project team are software developers, however, and so the VSE asked for assistance with software processes ­ mainly managing@etsmtl.ca Abstract--The ISO/IEC 29110 standard: Lifecycle profiles for Very Small Entities, provides several Process

  2. Encaminamiento inter-dominio con calidad de servicio basado en Overlay Entities distribuidas y QBGP1

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    Encaminamiento inter-dominio con calidad de servicio basado en Overlay Entities distribuidas y QBGP Calidad de Ser- vicio (QoS). Nuestro enfoque consiste en proporcionar una arquitectura overlay multihoming. Para estos ASes, el tema de Encamina- miento con Calidad de Servicio (QoSR) a nivel de inter

  3. Cost Analysis of NEMO Protocol Entities Md. Shohrab Hossain, Mohammed Atiquzzaman, William Ivancic

    E-Print Network [OSTI]

    Atiquzzaman, Mohammed

    analytical models to estimate total costs of key mobility management entities of NEMO. We have presented, mobility management. I. INTRODUCTION To ensure continuous Internet connectivity of net- works in motion. As the next-generation wireless/mobile network will be a unified network based on all-IP technology

  4. The Development of International Standards for Very Small Entities: Historical Perspectives,

    E-Print Network [OSTI]

    Québec, Université du

    = International Organization for Standardization/ International Electrotechnical Commission Joint TechnicalThe Development of International Standards for Very Small Entities: Historical Perspectives-operation and Development #12;18/11/2009 6 Development of International Standards for VSEs · Phase 1 - Recognition of Needs

  5. The Development and Experimentation of an International Standard for Very Small Entities

    E-Print Network [OSTI]

    Québec, Université du

    . ISO/IEC JTC 1/SC7 = International Organization for Standardization/ International ElectrotechnicalThe Development and Experimentation of an International Standard for Very Small Entities Involved) ­ Survey of VSEs worldwide (2006) · Phase 3 - Development ­ The Development of International Standards

  6. The Development and Experimentation of an International Standard for Very Small Entities

    E-Print Network [OSTI]

    Québec, Université du

    The Development and Experimentation of an International Standard for Very Small Entities Involved are enterprises, projects or departments having up to 25 people. ISO/IEC JTC 1/SC 7 = International Organization for Standardization/ International Electrotechnical Commission Joint Technical Committee 1/Sub Committee 7. #12

  7. Representation and Self-Configuration of Physical Entities in Extended Smart Grid Perimeter

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . We describe these mechanisms and their implementation on examples from the home domain. Index Terms--Smart1 Representation and Self-Configuration of Physical Entities in Extended Smart Grid Perimeter Zheng of Smart Grids to Smart Energy Management Systems in relevant domains, we propose a framework and a set

  8. A Scalable Approach for the Secure and Authorized Tracking of the Availability of Entities in Distributed Systems

    E-Print Network [OSTI]

    A Scalable Approach for the Secure and Authorized Tracking of the Availability of Entities and proliferation of distributed applications continues to increase a need often arises to track the availability present a transport-independent scheme for tracking the availability of entities in distributed systems

  9. PRIMARY CYSTIC LUNG LIGHT CHAIN DEPOSITION DISEASE: a clinicopathologic entity derived from unmutated B cells with a stereotyped IGHV4-

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    PRIMARY CYSTIC LUNG LIGHT CHAIN DEPOSITION DISEASE: a clinicopathologic entity derived from-helene.delfau@hmn.aphp.fr Running title: Primary cystic lung LCDD: a new entity Word count for abstract: 196 Word count for text deposition disease (LCDD) presenting as a severe cystic lung disorder requiring lung transplantation

  10. Ocean Viruses: Tiny entities with Global Impacts ( JGI Seventh Annual User Meeting 2012: Genomics of Energy and Environment)

    ScienceCinema (OSTI)

    Sullivan, Matthew B [University of Arizona

    2013-01-15T23:59:59.000Z

    Matt Sullivan from the University of Arizona on "Ocean Viruses: Tiny Entities with Global Impacts" at the 7th Annual Genomics of Energy & Environment Meeting on March 22, 2012 in Walnut Creek, Calif.

  11. Ocean Viruses: Tiny entities with Global Impacts ( JGI Seventh Annual User Meeting 2012: Genomics of Energy and Environment)

    SciTech Connect (OSTI)

    Sullivan, Matthew B [University of Arizona] [University of Arizona

    2012-03-22T23:59:59.000Z

    Matt Sullivan from the University of Arizona on "Ocean Viruses: Tiny Entities with Global Impacts" at the 7th Annual Genomics of Energy & Environment Meeting on March 22, 2012 in Walnut Creek, Calif.

  12. Annual Report of the Columbia River Treaty, Canadian and United States Entities, October 1, 1995--September 30, 1996.

    SciTech Connect (OSTI)

    Columbia River Treaty Operating Committee; B.C. Hydro; United States. Bonneville Power Administration

    1996-11-01T23:59:59.000Z

    Agreements approved by the Entities during the period of this report include: (1) Columbia River Treaty Entity Agreement on the Detailed Operating Plan for Columbia River Storage for 1 August 1995 through 31 July 1996, signed 31 January 1996. (2) Columbia River Treaty Entity Agreement on the Detailed Operating Plan for Columbia River Storage for 1 August 1996 through 31 July 1997, signed 29 August 1996. (3) Columbia River Treaty Entity Agreement on Resolving the Dispute on Critical Period Determination, the Capacity Entitlement for the 1998/99, 1999/00, and 2000/01 AOP/DDPB`s, and Operating Procedures for the 2001/02 and Future AOP`s, signed 29 August 1996.

  13. Opinion groups formation and dynamics : structures that last from non lasting entities

    E-Print Network [OSTI]

    Grauwin, Sébastian

    2015-01-01T23:59:59.000Z

    We extend simple opinion models to obtain stable but continuously evolving communities. Our scope is to meet a challenge raised by sociologists of generating "structures that last from non lasting entities". We achieve this by introducing two kinds of noise on a standard opinion model. First, agents may interact with other agents even if their opinion difference is large. Second, agents randomly change their opinion at a constant rate. We show that for a large range of control parameters, our model yields stable and fluctuating polarized states, where the composition and mean opinion of the emerging groups is fluctuating over time.

  14. Network and Ensemble Enabled Entity Extraction in Informal Text (NEEEEIT) final report.

    SciTech Connect (OSTI)

    Kegelmeyer, W. Philip,; Shead, Timothy M. [Sandia National Laboratories, Albuquerque, NM; Dunlavy, Daniel M. [Sandia National Laboratories, Albuquerque, NM

    2013-09-01T23:59:59.000Z

    This SAND report summarizes the activities and outcomes of the Network and Ensemble Enabled Entity Extraction in Informal Text (NEEEEIT) LDRD project, which addressed improving the accuracy of conditional random fields for named entity recognition through the use of ensemble methods. Conditional random fields (CRFs) are powerful, flexible probabilistic graphical models often used in supervised machine learning prediction tasks associated with sequence data. Specifically, they are currently the best known option for named entity recognition (NER) in text. NER is the process of labeling words in sentences with semantic identifiers such as %E2%80%9Cperson%E2%80%9D, %E2%80%9Cdate%E2%80%9D, or %E2%80%9Corganization%E2%80%9D. Ensembles are a powerful statistical inference meta-method that can make most supervised machine learning methods more accurate, faster, or both. Ensemble methods are normally best suited to %E2%80%9Cunstable%E2%80%9D classification methods with high variance error. CRFs applied to NER are very stable classifiers, and as such, would initially seem to be resistant to the benefits of ensembles. The NEEEEIT project nonetheless worked out how to generalize ensemble methods to CRFs, demonstrated that accuracy can indeed be improved by proper use of ensemble techniques, and generated a new CRF code, %E2%80%9CpyCrust%E2%80%9D and a surrounding application environment, %E2%80%9CNEEEEIT%E2%80%9D, which implement those improvements. The summary practical advice that results from this work, then, is: When making use of CRFs for label prediction tasks in machine learning, use the pyCrust CRF base classifier with NEEEEIT's bagging ensemble implementation. (If those codes are not available, then de-stablize your CRF code via every means available, and generate the bagged training sets by hand.) If you have ample pre-processing computational time, do %E2%80%9Cforward feature selection%E2%80%9D to find and remove counter-productive feature classes. Conversely, if pre-processing time is limited, use NEEEEIT's %E2%80%9Cedited clone%E2%80%9D pyCrust mechanism, along with a more modest use of bagging, to generate ensembles much more quickly.

  15. Clean renewable energy bonds (CREBs) present a low-cost opportunity for public entities to issue bonds to finance

    E-Print Network [OSTI]

    Clean renewable energy bonds (CREBs) present a low-cost opportunity for public entities to issue bonds to finance renewable energy projects. The federal government lowers the cost of debt by providing created under the Energy Tax Incentives Act of 2005 (and detailed in Internal Revenue Code Section 54

  16. Primary cystic lung light chain deposition disease: a clinicopathologic entity derived from unmutated B cells with a stereotyped IGHV4-34/IGKV1 receptor

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Primary cystic lung light chain deposition disease: a clinicopathologic entity derived from deposition disease (LCDD) presenting as a severe cystic lung disorder requiring lung transplantation lung transplantation and of serum free light chain ratio normalization after the procedure, we

  17. 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

  18. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours"Maryland" "megawatthours"

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware" "megawatthours"

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware" "megawatthours"District

  1. Alginate based 3D hydrogels as an in vitro co-culture model platform for the toxicity screening of new chemical entities

    SciTech Connect (OSTI)

    Lan, Shih-Feng [University of Oklahoma Bioengineering Center, University of Oklahoma, Norman, OK 73019 (United States); Starly, Binil, E-mail: starlyb@ou.edu [University of Oklahoma Bioengineering Center, University of Oklahoma, Norman, OK 73019 (United States); School of Industrial Engineering, University of Oklahoma, Norman, OK 73019 (United States)

    2011-10-01T23:59:59.000Z

    Prediction of human response to potential therapeutic drugs is through conventional methods of in vitro cell culture assays and expensive in vivo animal testing. Alternatives to animal testing require sophisticated in vitro model systems that must replicate in vivo like function for reliable testing applications. Advancements in biomaterials have enabled the development of three-dimensional (3D) cell encapsulated hydrogels as in vitro drug screening tissue model systems. In this study, we have developed an in vitro platform to enable high density 3D culture of liver cells combined with a monolayer growth of target breast cancer cell line (MCF-7) in a static environment as a representative example of screening drug compounds for hepatotoxicity and drug efficacy. Alginate hydrogels encapsulated with serial cell densities of HepG2 cells (10{sup 5}-10{sup 8} cells/ml) are supported by a porous poly-carbonate disc platform and co-cultured with MCF-7 cells within standard cell culture plates during a 3 day study period. The clearance rates of drug transformation by HepG2 cells are measured using a coumarin based pro-drug. The platform was used to test for HepG2 cytotoxicity 50% (CT{sub 50}) using commercially available drugs which further correlated well with published in vivo LD{sub 50} values. The developed test platform allowed us to evaluate drug dose concentrations to predict hepatotoxicity and its effect on the target cells. The in vitro 3D co-culture platform provides a scalable and flexible approach to test multiple-cell types in a hybrid setting within standard cell culture plates which may open up novel 3D in vitro culture techniques to screen new chemical entity compounds. - Graphical abstract: Display Omitted Highlights: > A porous support disc design to support the culture of desired cells in 3D hydrogels. > Demonstrated the co-culture of two cell types within standard cell-culture plates. > A scalable, low cost approach to toxicity screening involving multiple cell types.

  2. Documentation of the status of international geothermal power plants and a list by country of selected geothermally active governmental and private sector entities

    SciTech Connect (OSTI)

    Not Available

    1992-10-01T23:59:59.000Z

    This report includes the printouts from the International Geothermal Power Plant Data Base and the Geothermally Active Entity Data Base. Also included are the explanation of the abbreviations used in the power plant data base, maps of geothermal installations by country, and data base questionnaires and mailing lists.

  3. Collaboration between Rutgers Business School, private companies and public entities leading to improved efficiencies in end-to-end supply chain management

    E-Print Network [OSTI]

    Lin, Xiaodong

    Michael R. Cooper, PhD. "The new Supply Chain Management and Marketing Sciences department playsCollaboration between Rutgers Business School, private companies and public entities leading to improved efficiencies in end-to-end supply chain management The newly established Department of Supply

  4. Published as: Aerts, D., 1998, "The entity and modern physics: the creation-discovery view of reality", in Interpreting Bodies: Classical and Quantum Objects in Modern Physics, ed. Castellani, E., Princeton

    E-Print Network [OSTI]

    Aerts, Diederik

    Published as: Aerts, D., 1998, "The entity and modern physics: the creation-discovery view of reality", in Interpreting Bodies: Classical and Quantum Objects in Modern Physics, ed. Castellani, E., Princeton University Press, Princeton. The entity and modern physics: the creation-discovery- view

  5. 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

  6. 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

  7. WBS-FOR CREATING AN ER-MODEL Let A(Ei) = the set of attributes of entity-set an Ei.

    E-Print Network [OSTI]

    Kundu, Sukhamay

    WBS-FOR CREATING AN ER-MODEL · Let A(Ei) = the set of attributes of entity-set an Ei. · Let A from each Ei partici- pating in Rj, can interact multiple times, then we need a pri- mary key among FOR CREATING ER-MODELS Identify name and A(Ei) for each Ei Identify a primary key for each Ei Identify name

  8. Types of Commissioning

    Broader source: Energy.gov [DOE]

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

  9. 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

  10. 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.

  11. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours"Maryland"Michigan" "megawatthours"

  12. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana" "megawatthours"York" "megawatthours"

  13. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware" "megawatthours"District of

  14. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"Hawaii" "megawatthours"

  15. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"Maryland" "megawatthours"

  16. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours"Dakota" "megawatthours"

  17. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours"Dakota"Texas" "megawatthours"

  18. 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

  19. 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

  20. 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.

  1. 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

  2. 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

  3. 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.

  4. 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

  5. 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

  6. 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

  7. 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 ...

  8. 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...

  9. 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.

  10. 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.

  11. 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.

  12. 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

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours" "Category", 2013, 2012, 2011,

  19. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours" "Category", 2013, 2012,

  20. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours" "Category", 2013,

  1. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours" "Category",

  2. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours" "Category",Kentucky"

  3. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours"

  4. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours"Maryland"

  5. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours"Maryland"Michigan"

  6. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours"Maryland"Michigan"Mississippi"

  7. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana" "megawatthours" "Category", 2013,

  8. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana" "megawatthours" "Category",

  9. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana" "megawatthours"

  10. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana" "megawatthours"York"

  11. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana" "megawatthours"York"Dakota"

  12. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana"Oregon" "megawatthours"

  13. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana"Oregon" "megawatthours"Dakota"

  14. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana"Oregon"UnitedWyoming" "megawatthours"

  15. Table 10.1 Nonswitchable Minimum and Maximum Consumption, 2002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana"Oregon"UnitedWyoming" "megawatthours"

  16. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"

  17. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"

  18. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"Hawaii"

  19. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"Hawaii"Illinois"

  20. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"

  1. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"Maryland"

  2. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"Maryland"Michigan"

  3. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"

  4. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"

  5. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"Total

  6. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina" "megawatthours"

  7. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

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

  8. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii" "megawatts"

  9. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii" "megawatts"Louisiana"

  10. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii"

  11. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii"Michigan" "megawatts"

  12. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii"Michigan"

  13. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii"Michigan"Nebraska"

  14. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii"Michigan"Nebraska"Jersey"

  15. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota" "megawatts"Louisiana" "megawatthours"

  16. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

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

  17. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours" "Item",

  18. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours"

  19. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours"Dakota"

  20. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours"Dakota"Texas"

  1. Table 6. Electric power delivered fuel prices and quality for coal, petroleum, natural gas, 1990 - 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours"

  2. Table 6. Electric power delivered fuel prices and quality for coal, petroleum, natural gas, 1990 - 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours"California"

  3. 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

  4. 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

  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. 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.

  7. 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.

  8. 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.

  9. 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

  10. 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

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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

  16. 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...

  17. 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...

  18. 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

  19. 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 ...

  20. 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

  1. 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...

  2. 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

  3. 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

  4. Energy Revolving Loan Fund- Public Entities

    Broader source: Energy.gov [DOE]

    '''''Note: Michigan Economic Development Corporation is not currently accepting applications for this loan fund. Check the program web site for future solicitations. '''''

  5. Entity Linking at the Tail: Sparse Signals,

    E-Print Network [OSTI]

    Hunt, Galen

    docs, with 185 matching to KB · Evaluated combinations of PPP, unknown model, phrase features (phrase) NB (phrase) NB (word) PPP (word) PPP (phrase) Achieves 96% Precision, with 62% recall #12;Summary

  6. Synthetic social relationships for computational entities

    E-Print Network [OSTI]

    Tomlinson, William Michael, 1972-

    2002-01-01T23:59:59.000Z

    Humans and many other animals form long term social relationships with each other. These relationships confer a variety of benefits upon us, both as individuals and as groups. Computational systems that can form social ...

  7. COLUMBIA RIVER TREATY ENTITY AGREEMENT ON THE

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

    AGREEMENT (10NTSSA) The Bonneville Power Administration (BPA) and the British Columbia Hydro and Power Authority (B.C. Hydro) have signed an agreement relating to the use of...

  8. COLUMBIA RIVER TREATY ENTITY AGREEMENT ON THE

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

    AGREEMENT (09NTSSA) The Bonneville Power Administration @PA) and the British Columbia Hydro and Power Authority (B.C. Hydro) have signed an agreement relating to the use of...

  9. COLUMBIA RIVER TREATY ENTITY AGREEMENT ON THE

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

    AGREEMENT (1 1NTSSA) The Bonneville Power Administration (BPA) and the British Columbia Hydro and Power Authority (B.C. Hydro) have signed an agreement relating to the use of...

  10. COLUMBIA RIVER TREATY ENTITY AGREEMENT ON THE

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

    AGREEMENT (12NTSSA) The Bonneville Power Administration (BP A) and the British Columbia Hydro and Power Authority (B.C. Hydro) have signed an agreement relating to the use of...

  11. Unsupervised Models of Entity Reference Resolution

    E-Print Network [OSTI]

    Haghighi, Aria Delier

    2010-01-01T23:59:59.000Z

    data mining, 2006. David Blei and Peter I. Frazier. DistanceICML), 2009. David M. Blei, Andrew Y. Ng, and Michael I.Jordan, Matthew Beal, and David Blei. Hierarchical Dirichlet

  12. Fact Sheet - Reliability entity registration - November 2006

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

    workshops built on material present- ed by Western Electricity Coordinating Council (WECC) staff in a series of workshops held last August. In addition, the task force provided...

  13. XER -Extensible Entity Relationship Arijit Sengupta

    E-Print Network [OSTI]

    Sengupta, Arijit

    ................................................................................................................................. 9 1. Motivation Design is one of the most important steps in the software development process [SDLC

  14. Entity State Ownership Residential Commercial Industrial Transportation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity Use as an IndicatorNatural GasRevenue for

  15. Chapter 12 - Inter-Entity Transactions

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuilding RemovalCSSDepartment of Energy5-4-2012 9-1 CHAPTER12

  16. United States Entity Columbia River Treaty

    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'sis Taking Over OurThe Iron SpinPrinceton Plasma Physics Lab Unique PPPL-ledStates

  17. COLUMBIA RIVER TREATY ENTITY AGREEMENT ON THE

    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 Office511041clothAdvanced Materials Advanced. C o w l i t z C o . C l a r kiVP-^"^^? COLUMBIA RADIATION09

  18. COLUMBIA RIVER TREATY ENTITY AGREEMENT ON THE

    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 Office511041clothAdvanced Materials Advanced. C o w l i t z C o . C l a r kiVP-^"^^? COLUMBIA RADIATION0910

  19. COLUMBIA RIVER TREATY ENTITY AGREEMENT ON THE

    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 Office511041clothAdvanced Materials Advanced. C o w l i t z C o . C l a r kiVP-^"^^? COLUMBIA RADIATION0910

  20. COLUMBIA RIVER TREATY ENTITY AGREEMENT ON THE

    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 Office511041clothAdvanced Materials Advanced. C o w l i t z C o . C l a r kiVP-^"^^? COLUMBIA

  1. Tillamook Intergovernmental Development Entity | 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:Ezfeedflag JumpID-f <MaintainedInformationThePty Ltd Jump to:

  2. 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.

  3. 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 ...

  4. FINAL REPORT WIND POWER WARM SPRINGS RESERVATION TRIBAL LANDS DOE GRANT NUMBER DE-FG36-07GO17077 SUBMITTED BY WARM SPRINGS POWER & WATER ENTERPRISES A CORPORATE ENTITY OF THE CONFEDERATED TRIBES OF WARM SPRINGS WARM SPRINGS, OREGON

    SciTech Connect (OSTI)

    Jim Manion; Michael Lofting; Wil Sando; Emily Leslie; Randy Goff

    2009-03-30T23:59:59.000Z

    Wind Generation Feasibility Warm Springs Power and Water Enterprises (WSPWE) is a corporate entity owned by the Confederated Tribes of the Warm Springs Reservation, located in central Oregon. The organization is responsible for managing electrical power generation facilities on tribal lands and, as part of its charter, has the responsibility to evaluate and develop renewable energy resources for the Confederated Tribes of Warm Springs. WSPWE recently completed a multi-year-year wind resource assessment of tribal lands, beginning with the installation of wind monitoring towers on the Mutton Mountains site in 2003, and collection of on-site wind data is ongoing. The study identified the Mutton Mountain site on the northeastern edge of the reservation as a site with sufficient wind resources to support a commercial power project estimated to generate over 226,000 MWh per year. Initial estimates indicate that the first phase of the project would be approximately 79.5 MW of installed capacity. This Phase 2 study expands and builds on the previously conducted Phase 1 Wind Resource Assessment, dated June 30, 2007. In order to fully assess the economic benefits that may accrue to the Tribes through wind energy development at Mutton Mountain, a planning-level opinion of probable cost was performed to define the costs associated with key design and construction aspects of the proposed project. This report defines the Mutton Mountain project costs and economics in sufficient detail to allow the Tribes to either build the project themselves or contract with a developer under the most favorable terms possible for the Tribes.

  5. The directory of United States coal & technology export resources. Profiles of domestic US corporations, associations and public entities, nationwide, which offer products or services suitable for export, relating to coal and its utilization

    SciTech Connect (OSTI)

    Not Available

    1994-01-01T23:59:59.000Z

    The purpose of this directory is to provide a listing of available U.S. coal and coal related resources to potential purchasers of those resources abroad. The directory lists business entities within the US which offer coal related resources, products and services for sale on the international market. Each listing is intended to describe the particular business niche or range of product and/or services offered by a particular company. The listing provides addresses, telephones, and telex/fax for key staff in each company committed to the facilitation of international trade. The content of each listing has been formulated especially for this directory and reflects data current as of the date of this edition. The directory listings are divided into four primary classifications: coal resources; technology resources; support services; and financing and resource packaging. The first three of which are subdivided as follows: Coal Resources -- coal derivatives, coal exporters, and coal mining; Technology Resources -- advanced utilization, architects and engineers, boiler equipment, emissions control and waste disposal systems, facility construction, mining equipment, power generation systems, technical publications, and transport equipment; Support Services -- coal transport, facility operations, freight forwarders, sampling services and equipment, and technical consultants. Listings for the directory were solicited on the basis of this industry breakdown. Each of the four sections of this directory begins with a matrix illustrating which companies fall within the particular subclassifications specific to that main classification. A general alphabetical index of companies and an index by product/service classification are provided following the last section of the directory.

  6. H.R. 817: A Bill to authorize the Secretary of Energy to lease lands within the naval oil shale reserves to private entities for the development and production of oil and natural gas. Introduced in the House of Representatives, One Hundred Fourth Congress, First session

    SciTech Connect (OSTI)

    NONE

    1995-12-31T23:59:59.000Z

    This bill would give the Secretary of Energy authority to lease lands within the Naval oil shale reserves to private entities for the purpose of surveying for and developing oil and gas resources from the land (other than oil shale). It also allows the Bureau of Land Management to be used as a leasing agent, establishes rules on royalties, and the sharing of royalties with the state, and covers the transfer of existing equipment.

  7. 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.

  8. 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

  9. 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.

  10. 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.

  11. 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 ...

  12. 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...

  13. Archived Reference Building Type: Primary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  14. Archived Reference Building Type: Primary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  15. Repairing Type Errors in Functional Programs 

    E-Print Network [OSTI]

    McAdam, Bruce J

    Type systems for programming languages can be used by compilers to reject programs which are found to be unsound and which may, therefore, fail to execute successfully. When a program is rejected the programmer must repair it so that it can be type...

  16. Multiparty Asynchronous Session Types Kohei Honda

    E-Print Network [OSTI]

    Gay, Simon

    Multiparty Asynchronous Session Types Kohei Honda Queen Mary, University of London kohei 2005; Honda et al. 1998; Bonelli and Compagnoni 2008), higher- order processes (Mostrous and Yoshida. 2006, 2007; WS-CDL; Sparkes 2006; Honda et al. 2007a). A basic observation underlying session types

  17. Testing Type Class Laws Johan Jeuring

    E-Print Network [OSTI]

    Utrecht, Universiteit

    ]. Instances of Monad should satisfy the following laws: return a>>=k k a m >>=return m m >>=(x k x>>=h) (m>>=k)>>=hTesting Type Class Laws Johan Jeuring Patrik Jansson Cl´audio Amaral Technical Report UU-CS-2012.089 3508 TB Utrecht The Netherlands #12;Testing Type Class Laws Johan Jeuring Utrecht University and Open

  18. Archived Reference Building Type: Outpatient health care

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  19. Archived Reference Building Type: Outpatient health care

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  20. Archived Reference Building Type: Strip mall

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  1. Archived Reference Building Type: Strip mall

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  2. WASTE DESCRIPTION TYPE OF PROJECT POUNDS REDUCED,

    E-Print Network [OSTI]

    Minimization/ Volume Reduction 0 Solid Radioactive Waste $2,168 $0 $2,168 Vial Crusher for glass vialsWASTE DESCRIPTION TYPE OF PROJECT POUNDS REDUCED, REUSED, RECYCLED OR CONSERVED IN 2004 WASTE TYPE DESCRIPTION DETAILS * Automotive Waste Substitution 510 Hazardous Waste $1,020 $1,000 $1,000 Aqueous Solvent

  3. WASTE DESCRIPTION TYPE OF PROJECT POUNDS REDUCED,

    E-Print Network [OSTI]

    labeled chemicals Waste Minimization/ Volume Reduction 0 Solid Radioactive Waste $2,168 $3,795 $2,168 VialWASTE DESCRIPTION TYPE OF PROJECT POUNDS REDUCED, REUSED, RECYCLED OR CONSERVED IN 2003 WASTE TYPE DESCRIPTION DETAILS * Radioactive Waste Source Reduction 1,500 Radioactive Waste $6,000 $2,500 $6,000 Waste

  4. Archived Reference Building Type: Medium office

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  5. Archived Reference Building Type: Medium office

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  6. Archived Reference Building Type: Secondary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  7. Archived Reference Building Type: Secondary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  8. Serum markers for type II diabetes mellitus

    DOE Patents [OSTI]

    Metz, Thomas O; Qian, Wei-Jun; Jacobs, Jon M; Polpitiya, Ashoka D; Camp, II, David G; Smith, Richard D

    2014-03-18T23:59:59.000Z

    A method for identifying persons with increased risk of developing type 2 diabetes mellitus utilizing selected biomarkers described hereafter either alone or in combination. The present invention allows for broad based, reliable, screening of large population bases and provides other advantages, including the formulation of effective strategies for characterizing, archiving, and contrasting data from multiple sample types under varying conditions.

  9. Names and Binding in Type Theory 

    E-Print Network [OSTI]

    Schöpp, Ulrich

    Names and name-binding are useful concepts in the theory and practice of formal systems. In this thesis we study them in the context of dependent type theory. We propose a novel dependent type theory with primitives for the explicit handling...

  10. ROOM AIR CONDITIONER WALL MOUNTED type

    E-Print Network [OSTI]

    Kleinfeld, David

    SPLIT TYPE ROOM AIR CONDITIONER WALL MOUNTED type Reciprocating Compressor Models Indoor unit.6 - 11.4 ----- MOISTURE REMOVAL ( / hr) 2.0 1.8 2.7 2.7 4.3 3 AIR CIRCULATION - Hi (m / hr) 800 800 1

  11. Interannual Variations of Arctic Cloud Types

    E-Print Network [OSTI]

    Hochberg, Michael

    Sciences #12;Changes in Arctic Climate What is the role of cloud cover in Arctic climate change? What is the Cloud Radiative Effect (CRE) in the Arctic? #12;CRE depends on season, cloud type CRE ­ whether clouds specifically chosen to include nighttime obs Total cloud cover and nine cloud types: - High cloud (cirriform

  12. 3, 46714700, 2003 Different type of

    E-Print Network [OSTI]

    Boyer, Edmond

    of the effect of different type of aerosols on UV-B radiation from measurements during EARLINET D. S. Balis1 , V properties and changes in cloud cover (Zerefos et al., 2001; WMO25 2003). Due to the combined involvementACPD 3, 4671­4700, 2003 Different type of aerosols and UV-B radiation D. S. Balis et al. Title Page

  13. Subcontract Report NREL/SR-7A2-48318

    E-Print Network [OSTI]

    Wh kilowatt-hour LED light emitting diode MECO Maui Electric Company MWh megawatt-hour NAECA National

  14. Fully Reflexive Intensional Type Analysis in Type Erasure Semantics # Bratin Saha Valery Trifonov Zhong Shao

    E-Print Network [OSTI]

    Trifonov, Valery

    Fully Reflexive Intensional Type Analysis in Type Erasure Semantics # Bratin Saha Valery Trifonov Zhong Shao Department of Computer Science Yale University {saha,trifonov,shao}@cs.yale.edu Abstract

  15. Improving Type Ia Supernova Standard Candle Cosmology Measurements Using Observations of Early-Type Host Galaxies

    E-Print Network [OSTI]

    Meyers, Joshua Evan

    2012-01-01T23:59:59.000Z

    Host Galaxies of Type Ia Supernovae Introduction SN Ia Hosts109 C HAPTER 1 Cosmology, Type Ia Supernovae and HostGalaxies Observations of supernovae have played a role in

  16. Theoretical cosmic Type Ia supernova rates

    E-Print Network [OSTI]

    R. Valiante; F. Matteucci; S. Recchi; F. Calura

    2009-03-16T23:59:59.000Z

    The aim of this work is the computation of the cosmic Type Ia supernova rates at very high redshifts (z>2). We adopt various progenitor models in order to predict the number of explosions in different scenarios for galaxy formation and to check whether it is possible to select the best delay time distribution model, on the basis of the available observations of Type Ia supernovae. We also computed the Type Ia supernova rate in typical elliptical galaxies of different initial luminous masses and the total amount of iron produced by Type Ia supernovae in each case. It emerges that: it is not easy to select the best delay time distribution scenario from the observational data and this is because the cosmic star formation rate dominates over the distribution function of the delay times; the monolithic collapse scenario predicts an increasing trend of the SN Ia rate at high redshifts whereas the predicted rate in the hierarchical scheme drops dramatically at high redshift; for the elliptical galaxies we note that the predicted maximum of the Type Ia supernova rate depends on the initial galactic mass. The maximum occurs earlier (at about 0.3 Gyr) in the most massive ellipticals, as a consequence of downsizing in star formation. We find that different delay time distributions predict different relations between the Type Ia supernova rate per unit mass at the present time and the color of the parent galaxies and that bluer ellipticals present higher supernova Type Ia rates at the present time.

  17. Data mining for structure type prediction

    E-Print Network [OSTI]

    Tibbetts, Kevin (Kevin Joseph)

    2004-01-01T23:59:59.000Z

    Determining the stable structure types of an alloy is critical to determining many properties of that material. This can be done through experiment or computation. Both methods can be expensive and time consuming. Computational ...

  18. CHARACTERIZATION OF SIALON-TYPE MATERIALS

    E-Print Network [OSTI]

    Spencer, P.N.

    2010-01-01T23:59:59.000Z

    an Economical Refractory Material", Industrial Heating, 50-of Sialon-Type Materials Newman Spencer Lawrence BerkeleyEXPERIHENTAL PROCEDURES A. The Material L Ml H2 M3 and M4 B.

  19. Operations and Maintenance for Major Equipment Types

    Broader source: Energy.gov [DOE]

    Equipment lies at the heart of all operations and maintenance (O&M) activities. This equipment varies greatly across the Federal sector in age, size, type, model, condition, etc.

  20. Renewable Energy Opportunities by Renovation Type

    Broader source: Energy.gov [DOE]

    Renewable energy opportunities should be considered and identified in the earliest stages of Federal project planning and the team should assess the renewable energy options based on the type of...

  1. Nested Refinement Types for JavaScript /

    E-Print Network [OSTI]

    Chugh, Ravi

    2013-01-01T23:59:59.000Z

    Semantic Sub- typing with an SMT Solver. In InternationalNikolaj Bjørner. Z3: An Efficient SMT solver. In Tools andBy carefully coordinating SMT-based logical implication with

  2. Genomic analysis of control of cell type

    E-Print Network [OSTI]

    Frampton, Garrett M

    2011-01-01T23:59:59.000Z

    In mammalian development, a single fertilized egg grows into a complex organism, comprised of organs and tissues made up of hundreds of different specialized cell types. All of these cells contain the same genome, but ...

  3. The BMW Algebras of Type Dn

    E-Print Network [OSTI]

    Cohen, Arjeh M; Wales, David B

    2007-01-01T23:59:59.000Z

    The Birman-Murakami-Wenzl algebra (BMW algebra) of type Dn is shown to be free over the quotient of a polynomial algebra of dimension (2^n+1)n!!-(2^(n-1)+1)n! where n!! is the product of the first n odd integers. The Brauer algebra of type Dn is a homomorphic ring image and is also semisimple and free of the same dimesion, but over a different ring. A rewrite system for the Brauer algebra is used in upper bounding the dimension of the BMW algebra. As a consequence or our results, the generalized Temperley-Lieb algebra of type Dn is a subalgebra of the BMW algebra of the same type.

  4. 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.

  5. Detection of interlayer communication using type curves

    E-Print Network [OSTI]

    Tiefenthal, Sven A.

    1988-01-01T23:59:59.000Z

    with the adjacent formation through type curve analysis. The response caused by the essentially infinite acting producing zone alone can be filtered out using desuperposition. The remaining response is the "deviation function" caused by the leaking fault. Type.... TABLE OF CONTENTS Page ABSTRACT. ACKNOWLEDGEMENTS TABLE OF CONTENTS. LIST OF TABLES . V1 . viii LIST OF FIGURES. . . . . IX INTRODUCTION BACKGROUND THEORY Infinite Acting Reservoir. Linear Discontinuities. Fault Parameterization. . . . 8 9...

  6. A threshold type Cerenkov radiation detector

    E-Print Network [OSTI]

    Winningham, John David

    1965-01-01T23:59:59.000Z

    A THRESHOLD TYPE CERENKOV RADIATION DETECTOR A Thesis By JOHN DAVID WINNINGHAN Submitted to the Graduate College of the Texas A&M University in partial fulfillment of the requirements for the degree of NASTER OF SCIENCE May, 1965 Ha/or Sub...)ect: Physics A THRESHOLD TYPE CERENKOV RADIATION DETECTOR A Thesis By JOHN DAVID WINNINGHAM Approved as to style and content by: 3 v (Chairman of Committee) j' ) Heqd of Department) (Member) (Member) May, 1965 i. '. 11648 ACKNOWLEDGEIKNTS I wish...

  7. SN Typing for the SDSS SN Survey

    SciTech Connect (OSTI)

    Rivers, Elizabeth S.; /Wellesley Coll. /SLAC

    2005-12-15T23:59:59.000Z

    In the fall of 2004 the Sloan Digital Sky Survey (SDSS) 2.5m telescope scanned the southern equatorial stripe for approximately 20 nights over the space of two months. Light curves for over four dozen supernovae (SNe) were collected over time using five colored filters ugriz that together had a range of approximately 3000{angstrom} to 10500{angstrom}. 22 SNe were spectroscopically confirmed with follow-up observation. Using the data obtained in the Fall 2004 campaign, preparations are now being made for the Supernova Survey of the SDSS II, a three-year extension of the original project. One main goal of the Supernova Survey will be to identify and study type Ia SNe of up to redshift {approx}0.4, the intermediate ''redshift desert'', as well as enabling further study of other types of SNe including type 1b/c and peculiar SNe. Most of the SNe found will not have spectra taken, due to time and cost constraints. Thus it would be advantageous to be able to robustly type SNe solely from the light curves obtained by the SDSS telescope prior to, or even without ever obtaining a spectrum. Using light curves of well-observed SNe templates were constructed for comparison with unknown SNe in order to photometrically type them.

  8. Fiber-type dosimeter with improved illuminator

    DOE Patents [OSTI]

    Fox, R.J.

    1985-12-23T23:59:59.000Z

    A single-piece, molded plastic, Cassigrainian-type condenser arrangement is incorporated in a tubular-shaped personal pocket dosimeter of the type which combines an ionization chamber with an optically-read fiber electrometer to provide improved illumination of the electrometer fiber. The condenser routes incoming light from one end of the dosimeter tubular housing around a central axis charging pin assembly and focuses the light at low angles to the axis so that it falls within the acceptance angle of the electrometer fiber objective lens viewed through an eyepiece lens disposed in the opposite end of the dosimeter. This results in improved fiber illumination and fiber image contrast.

  9. Transformations of $W$-Type Entangled States

    E-Print Network [OSTI]

    S. K?nta?; S. Turgut

    2010-03-10T23:59:59.000Z

    The transformations of $W$-type entangled states by using local operations assisted with classical communication are investigated. For this purpose, a parametrization of the $W$-type states which remains invariant under local unitary transformations is proposed and a complete characterization of the local operations carried out by a single party is given. These are used for deriving the necessary and sufficient conditions for deterministic transformations. A convenient upper bound for the maximum probability of distillation of arbitrary target states is also found.

  10. Uniqueness theorems for equations of Keldysh Type

    E-Print Network [OSTI]

    Thomas H. Otway

    2010-05-25T23:59:59.000Z

    A fundamental result that characterizes elliptic-hyperbolic equations of Tricomi type, the uniqueness of classical solutions to the open Dirichlet problem, is extended to a large class of elliptic-hyperbolic equations of Keldysh type. The result implies the non-existence of classical solutions to the closed Dirichlet problem for this class of equations. A uniqueness theorem is also proven for a mixed Dirichlet-Neumann problem. A generalized uniqueness theorem for the adjoint operator leads to the existence of distribution solutions to the closed Dirichlet problem in a special case.

  11. Cytophotometric studies of schiff-type reagents

    E-Print Network [OSTI]

    Aviles-Rios, Norman D

    1960-01-01T23:59:59.000Z

    : oc, ttscl, ::toca, cl 96lfttf, AEPMGIX j) t I" Absorption P aks Prom Cells Stained, by and. by Schiff-type Reagents in Peulgsn chiff 8 Heave t 1 and PAS Hsactions Absorption Peaks After Stainin Hsaction Feul en Acriflavins-S02 Bismarelc... stxain mice. Table XIX He&, DR Values in House Liver parenchymal Cells after staining with Schiff-type Reagents in FeulEen Hoactionl Ilesn Standard. Standard Standard Deviation . rror in j~ Deviation in ; of of I'lean liean Gismarclk brown Y 802 3...

  12. Platinum-barium-type L zeolite

    SciTech Connect (OSTI)

    Buss, W.C.; Hughes, T.R.

    1987-01-06T23:59:59.000Z

    A method is described of reforming hydrocarbons comprising contacting the hydrocarbons with a catalyst comprising: (a) a type L zeolite; (b) at least one Group VIII metal; and (c) an alkaline earth metal selected from the group consisting of barium, strontium and calcium. A method is described of dehydrocyclizing acyclic hydrocarbons comprising contacting the hydrocarbons with a catalyst comprising: (a) a type L zeolite (b) at least one Group VIII metal; and (c) an alkaline earth metal selected from the group consisting of barium, strontium and calcium.

  13. Types of Utility Energy Service Contracts

    Broader source: Energy.gov [DOE]

    Several types of contracts are used as utility energy service contracts (UESCs). Many agency sites procure electricity services under a contract with the local utility, and most of these contracts have provisions that can also cover energy efficiency projects. Agencies not covered by such agreements may enter contracts with the utility for the sole purpose of implementing energy projects.

  14. FOOD PRESERVATION SERIES types of potatoes

    E-Print Network [OSTI]

    FOOD PRESERVATION SERIES Potato types of potatoes hOW TO STORE PotatoMichigan-grown potatoes and make excellent mashed potatoes. yield FOOD SAFETY TIPS One pound 3 medium potatoes. 3 cups peeled canner load of 9 pints 50 pounds 18 ­ 22 quarts Purchase potatoes that are firm and do not have bruises

  15. Reference Buildings by Building Type: Small Hotel

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  16. Reference Buildings by Building Type: Large Hotel

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  17. RECYCLING PROGRAM TYPE LOCATION ALLOWED NOT ALLOWED

    E-Print Network [OSTI]

    Miami, University of

    RECYCLING PROGRAM TYPE LOCATION ALLOWED NOT ALLOWED Batteries, toner, ink cartridges & cell phones and recycling is an important part of that effort. Below is a guide to on-campus recycling at RSMAS: Visit http://www.rsmas.miami.edu/msgso/ for map of recycling bin locations. NOTE: This is not an exhaustive list. If unauthorized items are found

  18. Type-Logical Hyperedge Replacement Grammars

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Type-Logical and Hyperedge Replacement Grammars Draft Richard Moot LaBRI (CNRS), INRIA Bordeaux SW2009 #12;CONTENTS 1 Introduction 1 2 Hyperedge Replacement Grammars 3 2.1 Hypergraphs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.2 Hyperedge Replacement . . . . . . . . . . . . . . . . . . . . . . . 4 2.3 Hyperedge

  19. Fiber type, meal frequency and colonic cytokinetics

    E-Print Network [OSTI]

    Zhang, Jianhu

    1993-01-01T23:59:59.000Z

    The effects of dietary fiber type (cellulose, pectin or oat bran) and meal frequency (gorge or nibble) on colonic short chain fatty acids (SCFAs), in vivo colonic pH and epithelial cell proliferation were examined in male Sprague-Dawley rats...

  20. Graduate Assistant Stipend Enhancement Project Proposal Type

    E-Print Network [OSTI]

    Karonis, Nicholas T.

    1 Graduate Assistant Stipend Enhancement Project Proposal Type The Graduate Assistant Stipend Strategic Plan. Goals The Graduate Assistant Stipend Enhancement project consists of two programs: the Great. Fundamentally, the project seeks to increase the number of graduate students who receive assistantships

  1. Data Management Plan Types of Data

    E-Print Network [OSTI]

    Tam, Tin-Yau

    Data Management Plan Types of Data The research described herein will lead to the discovery of new will be followed by electrochemistry, Raman spectroscopy and optical spectroscopy. All data will be stored electronically in word processing documents. Data Standards All data will be stored in an electronic format

  2. Life without the Terminal Type Lutz Schroder

    E-Print Network [OSTI]

    Schröder, Lutz

    Life without the Terminal Type Lutz Schr¨oder BISS, Department of Computer Science, Bremen University Abstract. We introduce a method of extending arbitrary categories by a terminal object and apply closed except for the lack of a terminal object have a universal full extension to a cartesian closed

  3. Life without the Terminal Type Lutz Schroder

    E-Print Network [OSTI]

    Schröder, Lutz

    Life without the Terminal Type Lutz Schroder BISS, Department of Computer Science, Bremen University Abstract. We introduce a method of extending arbitrary categories by a terminal object and apply closed except for the lack of a terminal object have a universal full extension to a cartesian closed

  4. Models of Type Ia Supernova Explosions

    E-Print Network [OSTI]

    J. C. Niemeyer; M. Reinecke; W. Hillebrandt

    2002-03-21T23:59:59.000Z

    Type Ia supernovae have become an indispensable tool for studying the expansion history of the universe, yet our understanding of the explosion mechanism is still incomplete. We describe the variety of discussed scenarios, sketch the most relevant physics, and report recent advances in multidimensional simulations of Chandrasekhar mass white dwarf explosions.

  5. Models of Type Ia Supernova Explosions

    E-Print Network [OSTI]

    Niemeyer, J C; Hillebrandt, W

    2002-01-01T23:59:59.000Z

    Type Ia supernovae have become an indispensable tool for studying the expansion history of the universe, yet our understanding of the explosion mechanism is still incomplete. We describe the variety of discussed scenarios, sketch the most relevant physics, and report recent advances in multidimensional simulations of Chandrasekhar mass white dwarf explosions.

  6. Deforestation of Functional Programs through Type Inference

    E-Print Network [OSTI]

    Kent, University of

    Deforestation of Functional Programs through Type Inference Olaf Chitil Lehrstuhl f¨ur Informatik II, RWTH Aachen, Germany chitil@informatik.rwth-aachen.de Abstract. Deforestation optimises structures. Short cut deforestation is a deforestation method which is based on a single, local

  7. Submitted to: TYPES 2009 Post-Proceedings

    E-Print Network [OSTI]

    Luo, Zhaohui

    semantics (TOS for short) to prove meta-theoretic properties of type theories, including strong normalisation, Church-Rosser and subject reduction. In this paper, using the TOS approach, we study the meta that for dependent record kinds as found in, e.g., [CPT05]. We shall study the meta-theory by taking the TOS approach

  8. Interannual Variations of Arctic Cloud Types

    E-Print Network [OSTI]

    Hochberg, Michael

    Declining September sea-ice extent #12;Clouds & Changes in Arctic Climate What is the role of cloud cover in Arctic climate change? What is the Cloud Radiative Effect (CRE) in the Arctic? #12;CRE Defined CRE nighttime obs Total cloud cover and nine cloud types: - High cloud (cirriform) - Middle Clouds: Altocumulus

  9. Problem Type Problem Type Description Air Conditioning Air conditioner not working, leaking, etc

    E-Print Network [OSTI]

    Tennessee, University of

    Problem Type Problem Type Description Air Conditioning Air conditioner not working, leaking, etc, Microfridges Doors and Hardware Door repair/replace Lock, latch or hinge repair, key stuck; Lost or stolen key, repair or replace Shades/Blinds Window treatment - repair or replace Washer/Dryer Washer/Dryer repair

  10. Aspen Ecology in the MixedAspen Ecology in the Mixed Conifer TypeConifer Type

    E-Print Network [OSTI]

    Aspen Ecology in the MixedAspen Ecology in the Mixed Conifer TypeConifer Type Wayne D. Shepperd Colorado State University Fort Collins, CO Aspen Ecology in the MixedAspen Ecology in the Mixed Conifer disturbances to meet the desired objective #12;Aspen in Mixed Conifer ForestsAspen in Mixed Conifer Forests

  11. New Type-2 Rule Ranking Indices for Designing Parsimonious Interval Type-2 Fuzzy Logic Systems

    E-Print Network [OSTI]

    Aickelin, Uwe

    rules can be effectively selected to construct parsimonious type-2 fuzzy models while the system processing [7][8], traffic forecasting [9], mobile robot control [10], pattern recognition [11] [12FLS mod- elling. As a matter of fact, even in type-I fuzzy logic system (FLS) modelling, developing

  12. New Type-2 Rule Ranking Indices for Designing Parsimonious Interval Type-2 Fuzzy Logic Systems

    E-Print Network [OSTI]

    Granada, Universidad de

    rules can be effectively selected to construct parsimonious type-2 fuzzy models while the system processing [7][8], traffic forecasting [9], mobile robot control [10], pattern recognition [11FLS mod- elling. As a matter of fact, even in type-1 fuzzy logic system (FLS) modelling, developing

  13. Turbulence-Flame Interactions in Type Ia Supernovae

    E-Print Network [OSTI]

    Aspden, Andrew J; Lawrence Berkeley National Laboratory, 1 Cyclotron Road, MS 50A-1148, Berkeley, CA 94720 (Authors 1, 2 & 3); Department of Astronomy and Astrophysics, University of California at Santa Cruz, Santa Cruz, CA 95064 (Author 4); Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794 (Author 5)

    2008-01-01T23:59:59.000Z

    Interactions in Type Ia Supernovae A. J. Aspden 1 , J. B.involved in type Ia supernovae (SN Ia) requires the use of ?generated by RT in type Ia supernovae should obey Bolgiano-

  14. A Segmented, Enriched N-type Germanium Detector for Neutrinoless...

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

    Publications A Segmented, Enriched N-type Germanium Detector for Neutrinoless Double Beta-Decay Experiments. A Segmented, Enriched N-type Germanium Detector for Neutrinoless...

  15. An automated tool for three types of saturated hydraulic conductivity...

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

    automated tool for three types of saturated hydraulic conductivity laboratory measurements. An automated tool for three types of saturated hydraulic conductivity laboratory...

  16. A Segmented, Enriched N-type Germanium Detector for Neutrinoless...

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

    Segmented, Enriched N-type Germanium Detector for Neutrinoless Double Beta-Decay Experiments. A Segmented, Enriched N-type Germanium Detector for Neutrinoless Double Beta-Decay...

  17. Hardy–Sobolev Type Inequalities with Sharp Constants in Carnot ...

    E-Print Network [OSTI]

    2010-06-22T23:59:59.000Z

    nonlinear case p = 2. We also obtain a sharp inequality of Hardy–Sobolev type. Keywords Hardy type inequalities·Carnot groups·Carnot–Carathéodory spaces·.

  18. Type B Accident Investigation of the Subcontractor Employee Injuries...

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

    Type B Accident Investigation of the Subcontractor Employee Injuries from a November 15, 2000, Fall Accident at the Oak Ridge National Laboratory Type B Accident Investigation of...

  19. Type B Accident Investigation of the August 22, 2000, Injury...

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

    Type B Accident Investigation of the August 22, 2000, Injury Resulting From Violent Exothermic Chemical Reaction at the Portsmouth Gaseous Diffusion Plant, X-701B Site Type B...

  20. Identification of soybean proteins from a single cell type: The...

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

    soybean proteins from a single cell type: The root hair. Identification of soybean proteins from a single cell type: The root hair. Abstract: Root hairs are a terminally...

  1. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours" "Category", 2013, 2012, 2011, 2010, 2009,

  2. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours" "Category", 2013, 2012, 2011, 2010,

  3. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours" "Category", 2013, 2012, 2011, 2010,District

  4. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours" "Category", 2013, 2012, 2011,Georgia"

  5. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours" "Category", 2013, 2012,Idaho"

  6. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours" "Category", 2013,Indiana"

  7. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours" "Category", 2013,Indiana"Iowa"

  8. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut" "megawatthours" "Category",Kentucky"Louisiana"

  9. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana" "megawatthours" "Category", 2013, 2012, 2011,

  10. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana" "megawatthours" "Category", 2013, 2012,

  11. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana" "megawatthours" "Category",Jersey"

  12. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana" "megawatthours"York"Dakota"Ohio"

  13. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana"Oregon" "megawatthours" "Category", 2013,

  14. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana"Oregon" "megawatthours" "Category",

  15. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana"Oregon" "megawatthours" "Category",Rhode

  16. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana"Oregon" "megawatthours"Dakota"Tennessee"

  17. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana"Oregon"United States" "megawatthours"

  18. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana"Oregon"United States" "megawatthours"Utah"

  19. Table 10.24 Reasons that Made Distillate Fuel Oil Unswitchable, 2006;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana"Oregon"UnitedWyoming" "megawatthours"4 Reasons

  20. Table 10.25 Reasons that Made Residual Fuel Oil Unswitchable, 2006;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana"Oregon"UnitedWyoming" "megawatthours"4 Reasons5

  1. Table 11. Summary of U.S. natural gas exports by point of exit, 2009-2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly AnnualConnecticut"Montana"Oregon"UnitedWyoming" "megawatthours"4

  2. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska" "megawatthours"Delaware"Hawaii"Illinois"Indiana"

  3. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas" "megawatthours"Maryland"Michigan"Minnesota"

  4. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"Total sales, top

  5. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"Total sales,

  6. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri" "megawatthours"Nebraska"TotalMexico"

  7. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina" "megawatthours"Dakota"

  8. Table 3. Top five retailers of electricity, with end use sectors, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrictAlaska"Kansas"Missouri"Carolina"Oklahoma" "megawatthours"

  9. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii" "megawatts" "Item", 2013, 2012, 2011,

  10. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii" "megawatts" "Item", 2013, 2012,

  11. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii" "megawatts" "Item", 2013,

  12. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii" "megawatts" "Item", 2013,Indiana"

  13. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii" "megawatts" "Item",

  14. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii" "megawatts" "Item",Kansas"

  15. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii" "megawatts"Louisiana" "megawatts"

  16. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii" "megawatts"Louisiana"Maryland"

  17. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii"Michigan" "megawatts" "Item", 2013,

  18. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii"Michigan" "megawatts" "Item",

  19. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii"Michigan" "megawatts"Missouri"

  20. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii"Michigan"Nebraska" "megawatts"

  1. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii"Michigan"Nebraska" "megawatts"Nevada"

  2. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii"Michigan"Nebraska"Jersey" "megawatts"

  3. Table 4. Electric power industry capability by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota" "megawatthours"Hawaii"Michigan"Nebraska"Jersey"York"

  4. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota" "megawatts" "Item", 2013,Delaware" "megawatthours"

  5. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota" "megawatts" "Item",Idaho" "megawatthours"

  6. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota" "megawatts"Louisiana" "megawatthours" "Item", 2013,

  7. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota" "megawatts"Louisiana" "megawatthours" "Item",

  8. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota" "megawatts"Louisiana" "megawatthours"Massachusetts"

  9. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota" "megawatts"Louisiana"Minnesota" "megawatthours"

  10. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours" "Item", 2013, 2012, 2011, 2010, 2009,

  11. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours" "Item", 2013, 2012, 2011, 2010,

  12. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours" "Item", 2013, 2012, 2011,

  13. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours" "Item", 2013, 2012, 2011,Mexico"

  14. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours" "Item", 2013, 2012,

  15. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours" "Item", 2013, 2012,Carolina"

  16. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours" "Item", 2013,Ohio"

  17. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours" "Item", 2013,Ohio"Oklahoma"

  18. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours" "Item",Pennsylvania"

  19. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours" "Item",Pennsylvania"Rhode

  20. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours"Dakota"Texas"Utah"

  1. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada" "megawatthours"Dakota"Texas"Utah"Vermont"

  2. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item", 2013, 2012,

  3. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item", 2013, 2012,West

  4. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item", 2013,

  5. Table 5. Electric power industry generation by primary energy source, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",

  6. Table 5.1 End Uses of Fuel Consumption, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses of

  7. Table 5.1. U.S. Number of Vehicles, Vehicle-Miles, Motor Fuel Consumption

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses of

  8. Table 5.2 End Uses of Fuel Consumption, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses of2

  9. Table 5.3 End Uses of Fuel Consumption, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses

  10. Table 5.4 End Uses of Fuel Consumption, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses4

  11. Table 5.5 End Uses of Fuel Consumption, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses45

  12. Table 5.6 End Uses of Fuel Consumption, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses456

  13. Table 5.7 End Uses of Fuel Consumption, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End Uses4567

  14. Table 5.8 End Uses of Fuel Consumption, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1 End

  15. Table 6. Electric power delivered fuel prices and quality for coal, petroleum, natural gas, 1990 - 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours" "Item",5.1Alaska"

  16. Table 6. Electric power delivered fuel prices and quality for coal, petroleum, natural gas, 1990 - 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours"California" "Fuel,

  17. Table 6. Electric power delivered fuel prices and quality for coal, petroleum, natural gas, 1990 - 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period:Dakota"Dakota"Nevada"Washington" "megawatthours"California"Connecticut"

  18. Gauge Orbit Types for Generalized Connections

    E-Print Network [OSTI]

    Christian Fleischhack

    2000-01-05T23:59:59.000Z

    Different versions for defining Ashtekar's generalized connections are investigated depending on the chosen smoothness category for the paths and graphs -- the label set for the projective limit. Our definition covers the analytic case as well as the case of webs. Then the orbit types of the generalized connections are determined for compact structure groups. The stabilizer of a connection is homeomorphic to the holonomy centralizer, i.e. the centralizer of its holonomy group, and the homeomorphism class of the gauge orbit is completely determined by the holonomy centralizer. Furthermore, the stabilizers of two connections are conjugate in the gauge group if and only if their holonomy centralizers are conjugate in the structure group. Finally, the gauge orbit type of a connection is defined to be the conjugacy class of its holonomy centralizer equivalently to the standard definition via stabilizers.

  19. Anisotropic criteria for the type of superconductivity

    SciTech Connect (OSTI)

    Kogan, Vladimir G [Ames Laboratory; Prozorov, Ruslan [Ames Laboratory

    2014-08-01T23:59:59.000Z

    The classical criterion for classification of superconductors as type I or type II based on the isotropic Ginzburg-Landau theory is generalized to arbitrary temperatures for materials with anisotropic Fermi surfaces and order parameters. We argue that the relevant quantity for this classification is the ratio of the upper and thermodynamic critical fields Hc2/Hc, rather than the traditional ratio of the penetration depth and the coherence length ?/?. Even in the isotropic case, Hc2/Hc coincides with 2??/? only at the critical temperature Tc and they differ as T decreases, the long-known fact. Anisotropies of Fermi surfaces and order parameters may amplify this difference and render false the criterion based on the value of ?=?/?.

  20. 2Cosmic Bar Graphs Galaxy Type

    E-Print Network [OSTI]

    in the cluster are spirals? Problem 2 ­ Gamma-ray bursts happen about once each day. The bar graph to the right there are 160 total galaxies, the fraction of spirals is 137/160 = 0.86, or equivalently 86%. Problem 2 ­ Gamma-ray2Cosmic Bar Graphs 0 20 40 60 80 100 S E SB I Galaxy Type Number 0 200 400 600 800 1000 FB SB Burst

  1. Halanay type inequalities on time scales

    E-Print Network [OSTI]

    Ad\\ivar, Murat

    2011-01-01T23:59:59.000Z

    This paper aims to introduce Halanay type inequalities on time scales. By means of these inequalities we derive new global stability conditions for nonlinear dynamic equations on time scales. Giving several examples we show that beside generalization and extension to q-difference case, our results also provide improvements for the existing theory regarding differential and difference inequalites, which are the most important particular cases of dynamic inequalities on time scales.

  2. Nonperturbative Type I-I' String Theory

    E-Print Network [OSTI]

    Shyamoli Chaudhuri

    2005-07-24T23:59:59.000Z

    We propose a nonperturbative framework for the O(32) type I open and closed string theory. The short distance degrees of freedom are bosonic and fermionic hermitian matrices belonging respectively to the adjoint and fundamental representations of the special unitary group SU(N). We identify a closed matrix algebra at finite N which corresponds to the Lorentz, gauge, and supersymmetry algebras of the large N continuum limit. The planar reduction of our matrix theory coincides with the low energy spacetime effective action of the d=10 type I O(32) unoriented open and closed string theory. We show that matrix T-duality transformations can yield a nonperturbative framework for the T-dual type I' closed string theory with 32 D8branes. We show further that under a strong-weak coupling duality transformation the large N reduced action coincides with the low energy spacetime effective action of the d=10 heterotic string, an equivalence at leading order in the inverse string tension and with either gauge group Spin(32)/Z2 or E8xE8. Our matrix formalism has the potential of providing a nonperturbative framework encapsulating all of the weak coupling limits of M theory.

  3. Chemical reaction model for oil and gas generation from type 1 and type 2 kerogen

    SciTech Connect (OSTI)

    Braun, R.L.; Burnham, A.K.

    1993-06-01T23:59:59.000Z

    A global model for the generation of oil and gas from petroleum source rocks is presented. The model consists of 13 chemical species and 10 reactions, including an alternate-pathway mechanism for kerogen pyrolysis. Reaction rate parameters and stoichiometry coefficients determined from a variety of pyrolysis data are given for both type I and type II kerogen. Use of the chemical reaction model is illustrated for typical geologic conditions.

  4. The Hubble Constant from Type Ia Supernovae in Early-Type Galaxies

    E-Print Network [OSTI]

    Tom Richtler; Georg Drenkhahn

    1999-09-07T23:59:59.000Z

    Type Ia supernovae (SNe) are the best standard candles available today in spite of an appreciable intrinsic variation of their luminosities at maximum phase, and of probably non-uniform progenitors. For an unbiased use of type Ia SNe as distance indicators it is important to know accurately how the decline rate and colour at maximum phase correlate with the peak brightness. In order to calibrate the Hubble diagram of type Ia SNe, i.e. to derive the Hubble constant, one needs to determine the absolute brightness of nearby type Ia SNe. Globular cluster systems of early type Ia host galaxies provide suitable distance indicators. We discuss how Ia SNe can be calibrated and explain the method of Globular Cluster Luminosity Functions (GCLFs). At present, the distance to the Fornax galaxy cluster is most important for deriving the Hubble constant. Our present data indicate a Hubble constant of H_0=72+-4 km/s/Mpc. As an appendix, we summarise what is known about absolute magnitudes of Ia's in late-type galaxies.

  5. Type Policy Title Here Effective Date: [Insert Date

    E-Print Network [OSTI]

    Salzman, Daniel

    Type Policy Title Here Effective Date: [Insert Date] Policy Statement [Type Statement Text Here] Reason(s) for the Policy [Type Reason Text Here] Primary Guidance to Which This Policy Responds [Type Primary Policy Here ­ If there is NOT a Primary Policy indicate that] Responsible University Office

  6. Type II Seesaw at LHC: the Roadmap

    E-Print Network [OSTI]

    Alejandra Melfo; Miha Nemevsek; Fabrizio Nesti; Goran Senjanovic; Yue Zhang

    2012-12-22T23:59:59.000Z

    In this Letter we revisit the type-II seesaw mechanism based on the addition of a weak triplet scalar to the standard model. We perform a comprehensive study of its phenomenology at the LHC energies, complete with the electroweak precision constraints. We pay special attention to the doubly-charged component, object of collider searches for a long time, and show how the experimental bound on its mass depends crucially on the particle spectrum of the theory. Our study can be used as a roadmap for future complete LHC studies.

  7. Type II Seesaw at LHC: the Roadmap

    E-Print Network [OSTI]

    Melfo, Alejandra; Nesti, Fabrizio; Senjanovic, Goran; Zhang, Yue

    2012-01-01T23:59:59.000Z

    In this Letter we revisit the type-II seesaw mechanism based on the addition of a weak triplet scalar to the standard model. We perform a comprehensive study of its phenomenology at the LHC energies, complete with the electroweak precision constraints. We pay special attention to the doubly-charged component, object of collider searches for a long time, and show how the experimental bound on its mass depends crucially on the particle spectrum of the theory. Our study can be used as a roadmap for future complete LHC studies.

  8. Dynamics of Bianchi type I elastic spacetimes

    E-Print Network [OSTI]

    Simone Calogero; J. Mark Heinzle

    2007-06-26T23:59:59.000Z

    We study the global dynamical behavior of spatially homogeneous solutions of the Einstein equations in Bianchi type I symmetry, where we use non-tilted elastic matter as an anisotropic matter model that naturally generalizes perfect fluids. Based on our dynamical systems formulation of the equations we are able to prove that (i) toward the future all solutions isotropize; (ii) toward the initial singularity all solutions display oscillatory behavior; solutions do not converge to Kasner solutions but oscillate between different Kasner states. This behavior is associated with energy condition violation as the singularity is approached.

  9. Types of Fuel Cells | Department of Energy

    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'sis Taking Over OurThe Iron Spin Transition in2,EHSS A-Zandofpoint motional StarkFuel Cells » Types

  10. Systems of Hess-Appel'rot type

    E-Print Network [OSTI]

    Vladimir Dragovic; Borislav Gajic

    2006-02-09T23:59:59.000Z

    We construct higher-dimensional generalizations of the classical Hess-Appel'rot rigid body system. We give a Lax pair with a spectral parameter leading to an algebro-geometric integration of this new class of systems, which is closely related to the integration of the Lagrange bitop performed by us recently and uses Mumford relation for theta divisors of double unramified coverings. Based on the basic properties satisfied by such a class of systems related to bi-Poisson structure, quasi-homogeneity, and conditions on the Kowalevski exponents, we suggest an axiomatic approach leading to what we call the "class of systems of Hess-Appel'rot type".

  11. Job Types | National Nuclear Security Administration

    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 Science (SC)Integrated Codes |Is Your Home as Ready for(SC) Jetting into theJieJobTypes |

  12. Property:CompanyType | 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 being directedAnnual SiteofEvaluatingGroupPerfectenergyInformationProjectAffiliated CompaniesCompanyType Jump

  13. Property:Incentive/Type | 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 being directedAnnualProperty Edit with form History Facebook icon Twitter icon »ApplDsc Jump to: navigation,Type

  14. Property:DIA/Type | 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,PillarPublicationType Jump to:CoolingTowerWaterUseWinterGrossDIA/TopicSocial

  15. Property:DeviceType | 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,PillarPublicationType JumpDOEInvolve Jump to:DeploymentSector Jump

  16. Property:Document type | 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,PillarPublicationType JumpDOEInvolve Jumpallowed values for this property

  17. Types of Lighting in Commercial Buildings - Introduction

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

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

  18. MEMORANDUM TO: FILE TYPE OF OPERATION

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about 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 AprilA group currentBradleyTableSelling CorpNewCF INDUSTRIES,L? .-IGYS IDCSTE 1TYPE OF

  19. Types of Insulation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMayDepartmentTest forTechnologiesTribalInjury at the Hanford SiteTypes of

  20. Property:ProjectType | 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 I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation, search PropertyStartProjectType Jump

  1. Property:Technology Type | 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 I GeothermalPotentialBiopowerSolidGenerationMethod Jump to:This property isType" Showing 25 pages using

  2. Type C: Caldera Resource | 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: Andesitic Volcanic Resource

  3. Type:Epoch | 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: Andesitic VolcanicF:Epoch Jump

  4. Probing Cosmological Isotropy With Type IA Supernovae

    E-Print Network [OSTI]

    Bengaly, C A P; Alcaniz, J S

    2015-01-01T23:59:59.000Z

    We investigate the validity of the Cosmological Principle by mapping the cosmological parameters $H_0$ and $q_0$ through the celestial sphere. In our analysis, performed in a low-redshift regime to follow a model-independent approach, we use two compilations of type Ia Supernovae (SNe Ia), namely the Union2.1 and the JLA datasets. Firstly, we show that the angular distributions for both SNe Ia datasets are statistically anisotropic at high confidence level ($p$-value $<$ 0.0001), in particular the JLA sample. Then we find that the cosmic expansion and acceleration are mainly of dipolar type, with maximal anisotropic expansion [acceleration] pointing towards $(l,b) \\simeq (326^{\\circ},12^{\\circ})$ [$(l,b) \\simeq (174^{\\circ},27^{\\circ})$], and $(l,b) \\simeq (58^{\\circ},-60^{\\circ})$ [$(l,b) \\simeq (225^{\\circ},51^{\\circ})$] for the Union2.1 and JLA data, respectively. Secondly, we use a geometrical method to test the hypothesis that the non-uniformly distributed SNe Ia events could introduce anisotropic imp...

  5. Simultaneous acquisition of differing image types

    DOE Patents [OSTI]

    Demos, Stavros G

    2012-10-09T23:59:59.000Z

    A system in one embodiment includes an image forming device for forming an image from an area of interest containing different image components; an illumination device for illuminating the area of interest with light containing multiple components; at least one light source coupled to the illumination device, the at least one light source providing light to the illumination device containing different components, each component having distinct spectral characteristics and relative intensity; an image analyzer coupled to the image forming device, the image analyzer decomposing the image formed by the image forming device into multiple component parts based on type of imaging; and multiple image capture devices, each image capture device receiving one of the component parts of the image. A method in one embodiment includes receiving an image from an image forming device; decomposing the image formed by the image forming device into multiple component parts based on type of imaging; receiving the component parts of the image; and outputting image information based on the component parts of the image. Additional systems and methods are presented.

  6. Type Ia Supernova Explosion: Gravitationally Confined Detonation

    E-Print Network [OSTI]

    Tomasz Plewa; Alan Calder; Don Lamb

    2004-05-08T23:59:59.000Z

    We present a new mechanism for Type Ia supernova explosions in massive white dwarfs. The proposed scenario follows from relaxing the assumption of symmetry in the model and involves a detonation created in an unconfined environment. The explosion begins with an essentially central ignition of stellar material initiating a deflagration. This deflagration results in the formation of a buoyantly-driven bubble of hot material that reaches the stellar surface at supersonic speeds. The bubble breakout forms a strong pressure wave that laterally accelerates fuel-rich outer stellar layers. This material, confined by gravity to the white dwarf, races along the stellar surface and is focused at the location opposite to the point of the bubble breakout. These streams of nuclear fuel carry enough mass and energy to trigger a detonation just above the stellar surface. The flow conditions at that moment support a detonation that will incinerate the white dwarf and result in an energetic explosion. The stellar expansion following the deflagration redistributes stellar mass in a way that ensures production of intermediate mass and iron group elements consistent with observations. The ejecta will have a strongly layered structure with a mild amount of asymmetry following from the early deflagration phase. This asymmetry, combined with the amount of stellar expansion determined by details of the evolution (principally the energetics of deflagration, timing of detonation, and structure of the progenitor), can be expected to create a family of mildly diverse Type Ia supernova explosions.

  7. Dark matter ignition of type Ia supernovae

    E-Print Network [OSTI]

    Bramante, Joseph

    2015-01-01T23:59:59.000Z

    Recent studies of low redshift type Ia supernovae (SNIa) indicate that half explode from less than Chandrasekhar mass white dwarfs, implying ignition must proceed from something besides the canonical criticality of Chandrasekhar mass SNIa progenitors. We show that $0.1-10$ PeV mass asymmetric dark matter, with imminently detectable nucleon scattering interactions, can accumulate to the point of self-gravitation in a white dwarf and collapse, shedding gravitational potential energy by scattering off nuclei, thereby heating the white dwarf and igniting the flame front that precedes SNIa. We combine data on SNIa masses with data on the ages of SNIa-adjacent stars. This combination reveals a $ 3 \\sigma$ inverse correlation between SNIa masses and ignition ages, which could result from increased capture of dark matter in 1.4 versus 1.1 solar mass white dwarfs. Future studies of SNIa in galactic centers will provide additional tests of dark-matter-induced type Ia ignition. Remarkably, both bosonic and fermionic SNI...

  8. The Sizes of Early-type Galaxies

    E-Print Network [OSTI]

    Joachim Janz; Thorsten Lisker

    2008-11-20T23:59:59.000Z

    In this letter we present a study of the size luminosity relation of 475 early-type galaxies in the Virgo Cluster with Sloan Digital Sky Survey imaging data. The analysis of our homogeneous, model-independent data set reveals that giant and dwarf early-type galaxies do not form one common sequence in this relation. The dwarfs seem to show weak or no dependence on luminosity, and do not fall on the extension of the rather steep relation of the giants. Under the assumption that the light profile shape varies continuously with magnitude, a curved relation of size and magnitude would be expected. While the galaxies do roughly follow this trend overall, we find that the dwarf galaxies are significantly larger and the low-luminosity giants are significantly smaller than what is predicted. We come to the conclusion that in this scaling relation there is not one common sequence from dwarfs to giants, but a dichotomy which can not be resolved by varying profile shapes. The comparison of our data to a semi-analytic model supports the idea of a physical origin of this dichotomy.

  9. Function: GTP:-`type/gradedmonom` -define a type 'gradedmonom' Calling Sequence

    E-Print Network [OSTI]

    Ablamowicz, Rafal

    :with(Clifford):with(GTP): > type(e1 &t e1,gradedmonom),type(Pi*(e1we2 &t e1 &t e2),gradedmonom); Cliplus has been loaded Id &t e1 Id &t e2 Id &t e1we2 e1 &t Id e1 &t e1 e1 &t e2 e1 &t e1we2, , , , , , , ,[:= e2 &t Id e2 &t e1 e2 &t e2 e2 &t e1we2 e1we2 &t Id e1we2 &t e1 e1we2 &t e2, , , , , , , e1we2 &t e1we2] > map

  10. Phases of a Type Ia supernova explosion

    E-Print Network [OSTI]

    J. C. Niemeyer

    1998-02-13T23:59:59.000Z

    In the framework of the Chandrasekhar mass white dwarf model for Type Ia supernovae, various stages of the explosion are described in terms of the burning regimes of the thermonuclear flame front. In the early flamelet regime following the ``smoldering'' phase prior to the explosion, the flame is sufficiently thin and fast to remain laminar on small scales. As the white dwarf density declines, the thermal flame structure becomes subject to penetration by turbulent eddies, and it enters the ``distributed burning'' regime. A specific control parameter for this transition is proposed. Furthermore, we outline an argument for the coincidence of the transition between burning regimes with the onset of a deflagration-detonation-transition (DDT) in the late phase of the explosion.

  11. Boost type PWM HVDC transmission system

    SciTech Connect (OSTI)

    Ooi, B.T.; Wang, X. (McGill Univ., Montreal, PQ (Canada). Dept. of Electrical Engineering)

    1991-10-01T23:59:59.000Z

    This paper reports that conventional HVdc is built around the mercury arc rectifier or the thyristor which requires line commutation. The advances of fast, high power GTO's and future devices such as MCT's with turn off capabilities, are bringing PWM techniques within the range of HVdc applications. By combining PWM techniques to the boost type bridge topology, one has an alternate system of HVdc Transmission. On the ac side, the converter station has active controls over: the voltage amplitude, the voltage angle and the frequency. On the dc side, parallel connections facilitate multi-terminal load sharing by simple local controls so that redundant communication channels are not required. Bidirectional power through each station is accomplished by the reversal of the direction of dc current flow. These claims have been substantiated by experimental results from laboratory size multi-terminal models.

  12. Supporting dependently typed functional programming with proof automation and testing 

    E-Print Network [OSTI]

    Wilson, Sean

    2011-06-30T23:59:59.000Z

    Dependent types can be used to capture useful properties about programs at compile time. However, developing dependently typed programs can be difficult in current systems. Capturing interesting program properties usually ...

  13. Archive Reference Buildings by Building Type: Primary school

    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...

  14. UNIT TYPE MILITARY PROVIDES IIT PROVIDES (Navy/Marines)

    E-Print Network [OSTI]

    Heller, Barbara

    UNIT TYPE MILITARY PROVIDES IIT PROVIDES Naval (Navy/Marines) 4 year­Type 1 Full tuition and fees. Room and board* for all 4 years. Navy (Must be currently enlisted personnel) STA-21 Seaman to Admiral

  15. Archive Reference Buildings by Building Type: Stand-alone retail

    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...

  16. Archive Reference Buildings by Building Type: Small office

    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...

  17. Archive Reference Buildings by Building Type: Large office

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  18. Archive Reference Buildings by Building Type: Fast food

    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...

  19. Archive Reference Buildings by Building Type: Strip mall

    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...

  20. Space Issues in Compiling with Intersection and Union Types

    E-Print Network [OSTI]

    ]. Furthermore, types that survive through the back end can be used to support run-time operations such as garbage collection [Tol94] and run-time type dispatch [Mor95]. The bene#12;ts of using a TIL

  1. Archive Reference Buildings by Building Type: Secondary school

    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...

  2. Visualizing Buoyant Burning Bubbles in Type Ia Supernovae at...

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

    Burning in Supernovae Buoyant Burning Bubbles in Type Ia Supernovae bubble-s.jpeg Flame ignition in type Ia supernovae leads to isolated bubbles of burning buoyant fluid. As a...

  3. Could there be a hole in type Ia supernovae?

    E-Print Network [OSTI]

    Kasen, Daniel; Nugent, Peter; Thomas, R.C.; Wang, Lifan

    2004-01-01T23:59:59.000Z

    Highlight: The Physics of Supernovae. Pro- ceedings of the EThere Be A Hole In Type l a Supernovae? Daniel Kasen, Peterscenario, Type l a Supernovae (SNe la) arise from a white

  4. Principal Typings for Explicit Substitutions Daniel Lima Ventura1

    E-Print Network [OSTI]

    Kamareddine, Fairouz

    Principal Typings for Explicit Substitutions Calculi Daniel Lima Ventura1 , Mauricio Ayala-Rinc´on1, Scotland UK {ventura,ayala}@mat.unb.br, fairouz@macs.hw.ac.uk Abstract. Having principal typings (for short

  5. BMW ALGEBRA, QUANTIZED COORDINATE ALGEBRA AND TYPE C SCHURWEYL DUALITY

    E-Print Network [OSTI]

    Sydney, University of

    BMW ALGEBRA, QUANTIZED COORDINATE ALGEBRA AND TYPE C SCHUR­WEYL DUALITY JUN HU Abstract. We prove enveloping algebra of type C 6 3. BMW algebras and a generalized FRT construction 9 4. A comparison of two

  6. Algebraic theory of type-and-effect systems 

    E-Print Network [OSTI]

    Kammar, Ohad

    2014-06-27T23:59:59.000Z

    We present a general semantic account of Gifford-style type-and-effect systems. These type systems provide lightweight static analyses annotating program phrases with the sets of possible computational effects they may ...

  7. Type B Accident Investigation, Response to the 24 Command Wildland...

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

    Type B Accident Investigation, Response to the 24 Command Wildland Fire on the Hanford Site, June 27-July 1, 2000 Type B Accident Investigation, Response to the 24 Command Wildland...

  8. application type nda: Topics by E-print Network

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

    Probability Updating Genetic Algorithms Mutation Selection Evolutionary Population Exploration Branching DiffusionGenetic type particle methods: An introduction with applications...

  9. Nonminimal coupling and Bianchi type-I cosmologies

    SciTech Connect (OSTI)

    Accioly, A.J.; Vaidya, A.N.; Som, M.M.

    1983-10-15T23:59:59.000Z

    Bianchi type-I exact solutions are obtained in two models involving nonminimal coupling of gravitation and other fields.

  10. Type-level module aliases: independent and equal

    E-Print Network [OSTI]

    Garrigue, Jacques

    . ­ Through nested structures, it allows for hierarchical design of libraries. ­ Sharing of types allows library) #12;Garrigue & White -- Type-level module aliases 9 The re-built hierarchy: SML/NJ ­ SML out of the specification. #12;Garrigue & White -- Type-level module aliases 10 A packed library

  11. Alexandria Digital Earth ProtoType The Alexandria Digital Earth

    E-Print Network [OSTI]

    Janée, Greg

    Alexandria Digital Earth ProtoType The Alexandria Digital Earth Prototype System Terence Smith Greg Janée James Frew Anita Coleman #12;Alexandria Digital Earth ProtoType 2Smith et al. / JCDL 2001 / 2x Earth ProtoType 3Smith et al. / JCDL 2001 / 2x-Jun-2001 Core System (inherited from ADL) Components

  12. Ecosystem type affects interpretation of soil nematode community measures

    E-Print Network [OSTI]

    Neher, Deborah A.

    Ecosystem type affects interpretation of soil nematode community measures D.A. Neher a,*, J. Wu b understanding of performance among major ecosystem types is necessary before nematode community indices can and agricultural ecosystems; (2) compare nematode community composition among and within ecosystem types and report

  13. Machine Learning and Inference Laboratory Semantic and Syntactic Attribute Types

    E-Print Network [OSTI]

    Michalski, Ryszard S.

    Reports Machine Learning and Inference Laboratory Semantic and Syntactic Attribute Types in AQ University #12;2 SEMANTIC AND SYNTACTIC ATTRIBUTE TYPES IN AQ LEARNING Ryszard S. Michalski* and Janusz and syntactic attribute types in AQ learning, explains their relationships and provides their classifications

  14. Type-Based Termination, Inflationary Fixed-Points, and

    E-Print Network [OSTI]

    Abel, Andreas

    Type-Based Termination, Inflationary Fixed-Points, and Mixed Inductive-Coinductive Types Andreas Science (FICS 2012) ETAPS 2012, Tallinn, Estonia 24 March 2012 Andreas Abel (LMU) Type-Based Termination AIM XV 1 / 1 #12;Introduction Aspects of Termination What the talk is about: foundational approach

  15. Partial Order Semantics of Types of Nets Robert Lorenz1

    E-Print Network [OSTI]

    Desel, Jörg

    Partial Order Semantics of Types of Nets Robert Lorenz1 , Gabriel Juh´as2 , and Sebastian Mauser3 1 of types of nets. Types of nets are a parametric definition of Petri nets originally developed for a general presentation of the synthesis of Petri nets from (step) transition systems. Partial order

  16. Polymorphic CSP Type Checking Ping Gao and Robert Esser

    E-Print Network [OSTI]

    Esser, Robert

    Polymorphic CSP Type Checking Ping Gao and Robert Esser Concurrent and Real­time Systems Laboratory@cs.adelaide.edu.au Abstract Communicating Sequential Processes (CSP) is a lan­ guage used to describe and reason about between a conventional functional lan­ guage type checker and a type checker for the CSP language

  17. Rates and Progenitors of Type Ia Supernovae

    E-Print Network [OSTI]

    William Michael Wood-Vasey

    2005-05-30T23:59:59.000Z

    The remarkable uniformity of Type Ia supernovae (SNe Ia) has allowed astronomers to use them as distance indicators to measure the properties and expansion history of the Universe. However, SNe Ia exhibit intrinsic variation in both their spectra and observed brightness. To reduce these systematic uncertainties, we need a deeper understanding of the observed variations in SNe Ia. Toward this end, the Nearby Supernova Factory (SNfactory) has been designed to discover hundreds of SNe Ia in a systematic and automated fashion and study them in detail. A prototype run of the SNfactory search pipeline conducted from 2002 to 2003 discovered 83 SNe at a final rate of 12 SNe/month. A large, homogeneous search of this scale offers an excellent opportunity to measure the rate of SNe Ia. This dissertation presents a new method for analyzing the true sensitivity of a multi-epoch supernova search and finds a SN Ia rate from $z\\sim0.01$--0.1 of $r_V = 4.26 (+1.39 -1.93) (+0.10 - 0.10)$ SNe Ia/yr/Mpc$^3$ from a preliminary analysis of a subsample of the SNfactory prototype search. Several unusual supernovae were found in the course of the SNfactory prototype search. One in particular, SN 2002ic, was the first SN Ia to exhibit convincing evidence for a circumstellar medium and offers valuable insight into the progenitors of SNe Ia.

  18. EPICS Version 4 - Implementing Complex Data Types

    SciTech Connect (OSTI)

    Marty Kraimer,; John dalesio

    2012-11-27T23:59:59.000Z

    Through phase 1 and phase 2 SBIR grants, s fully functional I/O Controller and communication protocol for version 4 of EPICS is completed. This new software architecture provides a flexible and extendible architecture. Version 4 is implemented fully in Java. The performance metrics look promising. The final portion of phase 2 is to optimize the communication mechanisms. Subsequent work on different aspects of this are required to provide a viable solutions in various areas. Version 3 of EPICS is able to provide a platform for implementing channel based control, because the channel and attributes for time stamping, alarm, display and control were narrow, well defined, and complete. To extend EPICS functionality beyond this, it is necessary to define attributes needed for archive data, array, image data, and directory services. The proper handling of several array types enables the development of middle layer servers such as orbit and bump control in accelerators. Phase 1 should produce a well defined, reviewed, and agreed upon definition of the metadata required for these services. A Phase 2 grant would provide tools that implemented archiving, general array, imaging, and directory applications.

  19. GUTs on Compact Type IIB Orientifolds

    SciTech Connect (OSTI)

    Blumenhagen, Ralph; /Munich, Max Planck Inst.; Braun, Volker; /Dublin Inst.; Grimm, Thomas W.; /Bonn U.; Weigand, Timo; /SLAC

    2008-12-01T23:59:59.000Z

    We systematically analyze globally consistent SU(5) GUT models on intersecting D7-branes in genuine Calabi-Yau orientifolds with O3- and O7-planes. Beyond the well-known tadpole and K-theory cancellation conditions there exist a number of additional subtle but quite restrictive constraints. For the realization of SU(5) GUTs with gauge symmetry breaking via U(1)Y flux we present two classes of suitable Calabi-Yau manifolds defined via del Pezzo transitions of the elliptically fibred hypersurface P{sub 1,1,1,6,9}[18] and of the Quintic P{sub 1,1,1,1,1}[5], respectively. To define an orientifold projection we classify all involutions on del Pezzo surfaces. We work out the model building prospects of these geometries and present five globally consistent string GUT models in detail, including a 3-generation SU(5) model with no exotics whatsoever. We also realize other phenomenological features such as the 10 10 5{sub H} Yukawa coupling and comment on the possibility of moduli stabilization, where we find an entire new set of so-called swiss-cheese type Calabi-Yau manifolds. It is expected that both the general constrained structure and the concrete models lift to F-theory vacua on compact Calabi-Yau fourfolds.

  20. 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.

  1. EARLY EMISSION FROM TYPE Ia SUPERNOVAE

    SciTech Connect (OSTI)

    Rabinak, Itay; Waxman, Eli [Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 76100 (Israel); Livne, Eli, E-mail: itay.rabinak@weizmann.ac.il [Racah Institute of Physics, Hebrew University, Jerusalem (Israel)

    2012-09-20T23:59:59.000Z

    A unique feature of deflagration-to-detonation (DDT) white dwarf explosion models of supernovae of type Ia is the presence of a strong shock wave propagating through the outer envelope. We consider the early emission expected in such models, which is produced by the expanding shock-heated outer part of the ejecta and precedes the emission driven by radioactive decay. We expand on earlier analyses by considering the modification of the pre-detonation density profile by the weak shocks generated during the deflagration phase, the time evolution of the opacity, and the deviation of the post-shock equation of state from that obtained for radiation pressure domination. A simple analytic model is presented and shown to provide an acceptable approximation to the results of one-dimensional numerical DDT simulations. Our analysis predicts a {approx}10{sup 3} s long UV/optical flash with a luminosity of {approx}1 to {approx}3 Multiplication-Sign 10{sup 39} erg s{sup -1}. Lower luminosity corresponds to faster (turbulent) deflagration velocity. The luminosity of the UV flash is predicted to be strongly suppressed at t > t{sub drop} {approx} 1 hr due to the deviation from pure radiation domination.

  2. The Outermost Ejecta of Type Ia Supernovae

    E-Print Network [OSTI]

    Masaomi Tanaka; Paolo A. Mazzali; Stefano Benetti; Ken'ichi Nomoto; Nancy Elias-Rosa; Rubina Kotak; Giuliano Pignata; Vallery Stanishev; Stephan Hachinger

    2007-12-17T23:59:59.000Z

    The properties of the highest velocity ejecta of normal Type Ia supernovae (SNe Ia) are studied via models of very early optical spectra of 6 SNe. At epochs earlier than 1 week before maximum, SNe with a rapidly evolving Si II 6355 line velocity (HVG) have a larger photospheric velocity than SNe with a slowly evolving Si II 6355 line velocity (LVG). Since the two groups have comparable luminosities, the temperature at the photosphere is higher in LVG SNe. This explains the different overall spectral appearance of HVG and LVG SNe. However, the variation of the Ca II and Si II absorptions at the highest velocities (v >~ 20,000 km/s) suggests that additional factors, such as asphericity or different abundances in the progenitor white dwarf, affect the outermost layers. The C II 6578 line is marginally detected in 3 LVG SNe, suggesting that LVG undergo less intense burning. The carbon mass fraction is small, only less than 0.01 near the photosphere, so that he mass of unburned C is only <~ 0.01 Msun. Radioactive 56Ni and stable Fe are detected in both LVG and HVG SNe. Different Fe-group abundances in the outer layers may be one of the reasons for spectral diversity among SNe Ia at the earliest times. The diversity among SNe Ia at the earliest phases could also indicate an intrinsic dispersion in the width-luminosity relation of the light curve.

  3. Possibility of n-type and p-type carrier coupling in the excitonic enhancement model of superconducting mechanism

    SciTech Connect (OSTI)

    Wong, K.W. (Kansas Univ., Lawrence, KS (USA). Dept. of Physics and Astronomy); Ching, W.Y. (Missouri Univ., Kansas City, MO (USA). Dept. of Physics)

    1990-02-01T23:59:59.000Z

    The authors discuss the possibility of both n-type and p-type carrier coupling in the excitonic enhancement model (EEM) for high temperature superconductivity. It is argued that p-type quasi-particles will generally lead to a higher T{sub c} than the n-type. The differences between EEM model and other exciton-related models are illuminated by the corresponding Feynman diagrams for the carrier coupling.

  4. Behavior of type 304 and type 316 austenitic stainless in 55% lithium bromide heavy brine environments

    SciTech Connect (OSTI)

    Itzhak, D.; Elias, O. (Ben-Gurion Univ., Beer-Sheva (Israel). Dept. of Materials Engineering)

    1994-02-01T23:59:59.000Z

    Cylindrical tensile specimens of AISI type 304 (UNS S30400) and type 316 (UNS S31600) stainless steels (SS) were tested under constant-load conditions in 55% lithium bromide (LiBr) heavy brines at temperatures of 120 C and 140 C. Elongation and open-circuit potential (OCP) were recorded during the tensile test. Potentiodynamic polarization measurements were conducted, and the failed surface fractures were examined by scanning electron microscopy. The tested SS were subjected to stress corrosion under the test environments. Sensitivity was affected strongly by pH values. In LiBr brine of pH = 11.6, the passivation processes were more effective than in brine of pH = 6 [approximately] 8. Because of effective passivation behavior in brine of pH = 11.6, lower values of [delta]l[sub 0] were measured, indicating lower dislocation relaxation processes and high resistance to stress corrosion cracking.

  5. Constraining Cosmic Evolution of Type Ia Supernovae

    SciTech Connect (OSTI)

    Foley, Ryan J.; Filippenko, Alexei V.; Aguilera, C.; Becker, A.C.; Blondin, S.; Challis, P.; Clocchiatti, A.; Covarrubias, R.; Davis, T.M.; Garnavich, P.M.; Jha, S.; Kirshner, R.P.; Krisciunas, K.; Leibundgut, B.; Li, W.; Matheson, T.; Miceli, A.; Miknaitis, G.; Pignata, G.; Rest, A.; Riess, A.G.; /UC, Berkeley, Astron. Dept. /Cerro-Tololo InterAmerican Obs. /Washington U., Seattle, Astron. Dept. /Harvard-Smithsonian Ctr. Astrophys. /Chile U., Catolica /Bohr Inst. /Notre Dame U. /KIPAC, Menlo Park /Texas A-M /European Southern Observ. /NOAO, Tucson /Fermilab /Chile U., Santiago /Harvard U., Phys. Dept. /Baltimore, Space Telescope Sci. /Johns Hopkins U. /Res. Sch. Astron. Astrophys., Weston Creek /Stockholm U. /Hawaii U. /Illinois U., Urbana, Astron. Dept.

    2008-02-13T23:59:59.000Z

    We present the first large-scale effort of creating composite spectra of high-redshift type Ia supernovae (SNe Ia) and comparing them to low-redshift counterparts. Through the ESSENCE project, we have obtained 107 spectra of 88 high-redshift SNe Ia with excellent light-curve information. In addition, we have obtained 397 spectra of low-redshift SNe through a multiple-decade effort at Lick and Keck Observatories, and we have used 45 ultraviolet spectra obtained by HST/IUE. The low-redshift spectra act as a control sample when comparing to the ESSENCE spectra. In all instances, the ESSENCE and Lick composite spectra appear very similar. The addition of galaxy light to the Lick composite spectra allows a nearly perfect match of the overall spectral-energy distribution with the ESSENCE composite spectra, indicating that the high-redshift SNe are more contaminated with host-galaxy light than their low-redshift counterparts. This is caused by observing objects at all redshifts with similar slit widths, which corresponds to different projected distances. After correcting for the galaxy-light contamination, subtle differences in the spectra remain. We have estimated the systematic errors when using current spectral templates for K-corrections to be {approx}0.02 mag. The variance in the composite spectra give an estimate of the intrinsic variance in low-redshift maximum-light SN spectra of {approx}3% in the optical and growing toward the ultraviolet. The difference between the maximum-light low and high-redshift spectra constrain SN evolution between our samples to be < 10% in the rest-frame optical.

  6. SHOCK BREAKOUT FROM TYPE Ia SUPERNOVA

    SciTech Connect (OSTI)

    Piro, Anthony L.; Chang, Philip; Weinberg, Nevin N., E-mail: tpiro@astro.berkeley.ed, E-mail: pchang@astro.berkeley.ed, E-mail: nweinberg@astro.berkeley.ed [Astronomy Department and Theoretical Astrophysics Center, University of California, Berkeley, CA 94720 (United States)

    2010-01-01T23:59:59.000Z

    The mode of explosive burning in Type Ia supernovae (SNe Ia) remains an outstanding problem. It is generally thought to begin as a subsonic deflagration, but this may transition into a supersonic detonation (the delayed detonation transition, DDT). We argue that this transition leads to a breakout shock, which would provide the first unambiguous evidence that DDTs occur. Its main features are a hard X-ray flash (approx20 keV) lasting approx10{sup -2} s with a total radiated energy of approx10{sup 40} erg, followed by a cooling tail. This creates a distinct feature in the visual light curve, which is separate from the nickel decay. This cooling tail has a maximum absolute visual magnitude of M{sub V} approx -9 to -10 at approx1 day, which depends most sensitively on the white dwarf radius at the time of the DDT. As the thermal diffusion wave moves in, the composition of these surface layers may be imprinted as spectral features, which would help to discern between SN Ia progenitor models. Since this feature should accompany every SNe Ia, future deep surveys (e.g., m = 24) will see it out to a distance of approx80 Mpc, giving a maximum rate of approx60 yr{sup -1}. Archival data sets can also be used to study the early rise dictated by the shock heating (at approx20 days before maximum B-band light). A similar and slightly brighter event may also accompany core bounce during the accretion-induced collapse to a neutron star, but with a lower occurrence rate.

  7. Language Independent NER using a Unified Model of Internal and Contextual Evidence

    E-Print Network [OSTI]

    Cucerzan, Silviu

    Desarrollo Rural Jerez-Sierra Suroeste, which are both organizations) are good indicators for entity type. 3

  8. P-type and N-type multi-gate polycrystalline silicon vertical thin film transistors based on low-temperature technology

    E-Print Network [OSTI]

    Boyer, Edmond

    is obtained. P-type and N-type vertical TFTs have shown symmetric electrical characteristics. DifferentP-type and N-type multi-gate polycrystalline silicon vertical thin film transistors based on low) ABSTRACT P-type and N-type multi-gate vertical thin film transistors (vertical TFTs) have been fabricated

  9. Types of contracts and agreements guide. Part 1

    SciTech Connect (OSTI)

    Not Available

    1981-05-01T23:59:59.000Z

    The purpose of this volume is to be helpful in providing a comprehensive introduction to a wide variety of contract types and agreements, including a consideration of small purchase procedures and multiyear procurement. In both format and content, it is designed to help those persons who influence the determination of the types of contracts and agreements to be employed in acquiring goods and services for the Department of Energy. Information is presented on selecting and negotiating types of contract compensation arrangements; fixed-price type contract compensation arrangements, including small purchases and multiyear procurement; cost-reimbursement type contract compensation arrangements; other types of contract compensation agreements; and basic agreements and basic ordering agreements. (LCL)

  10. HI in Low-Luminosity Early-Type Galaxies

    E-Print Network [OSTI]

    Tom Oosterloo; Raffaella Morganti; Elaine Sadler

    1998-09-07T23:59:59.000Z

    We discuss the properties of the HI in low-luminosity early-type galaxies. The morphology of the HI is more regular than that of the HI in many more-luminous early-type galaxies. The HI is always distributed in a disk and is more centrally concentrated. The central HI surface densities are higher than in luminous early-type galaxies and are high enough for star formation to occur.

  11. Type B Accident Investigation Board Report on the November 1...

    Office of Environmental Management (EM)

    B Accident Investigation Board Report on the November 1, 1999, Construction Injury at the Monticello Mill Tailings Remedial Action Site, Monticello, Utah Type B Accident...

  12. Rangeland Risk Management for Texans: Types of Risk

    E-Print Network [OSTI]

    White, Larry D.; Hanselka, C. Wayne

    2000-11-01T23:59:59.000Z

    Types of risk associated with range ecosystems include climatic, biological, financial and political risks. These risks are explained so that managers can know how to handle them....

  13. Types of Cost Estimates - DOE Directives, Delegations, and Requirement...

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

    CURRENT DOE G 430.1-1 Chp 4, Types of Cost Estimates by John Makepeace Functional areas: Procurement, Project Management The chapter describes the estimates required on...

  14. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    220 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  15. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    220 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  16. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  17. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    134 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  18. Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...

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

    - - - - - - - - - - - - See footnotes at end of table. 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 116 Energy Information...

  19. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  20. Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  1. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    134 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  2. Type A Accident Investigation of the March 16, 2000, Plutonium...

    Office of Environmental Management (EM)

    Multiple Intake Event at the Plutonium Facility, Los Alamos National Laboratory, New Mexico Type A Accident Investigation of the March 16, 2000, Plutonium-238 Multiple Intake...

  3. Type B Accident Investigation Report on the Exertional Heat Illnesses...

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

    Heat Illnesses during SPOTC 2006 at the National Training Center in Albuquerque, New Mexico, July 13, 2006 Type B Accident Investigation Report on the Exertional Heat...

  4. Type B Accident Investigation Board Report Subcontractor Radioactive...

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

    Decommissioning (D&D) Project arrived at the Environmental Management Waste Management Facility (EMWMF). Upon arrival, an incoming radiological survey was performed. Type B...

  5. Polymorphic Typing of Variables and References GEOFFREY SMITH

    E-Print Network [OSTI]

    Smith, Geoffrey

    Polymorphic Typing of Variables and References GEOFFREY SMITH Florida International University reflect the views of the National Science Foundation. Authors' addresses: G. Smith, School of Computer

  6. Type A Accident Investigation of the June 21, 2001, Drilling...

    Office of Environmental Management (EM)

    A Accident Investigation of the June 21, 2001, Drilling Rig Operator Injury at the Fermi National Accelerator Laboratory, August 2001 Type A Accident Investigation of the June 21,...

  7. Type A Accident Investigation Board Report on the February 20...

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

    February 20, 1996, Fall Fatality at the Radioactive Waste Management Complex Transuranic Storage Area - Retrieval Enclosure, Idaho National Engineering Laboratory Type A Accident...

  8. Approximating K-means-type clustering via semidefinite programming

    E-Print Network [OSTI]

    Jiming Peng

    2005-04-22T23:59:59.000Z

    Apr 22, 2005 ... Approximating K-means-type clustering via semidefinite ... Abstract: One of the fundamental clustering problems is to assign $n$ points into $k$ ...

  9. A New 'Geothermal Play Type' Catalog: Streamlining Exploration...

    Open Energy Info (EERE)

    Exploration Decision Making Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: A New 'Geothermal Play Type' Catalog: Streamlining Exploration...

  10. 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...

  11. Type B Accident Investigation Board Report on the October 15...

    Energy Savers [EERE]

    on the October 15, 2001, Grout Injection Operator Injury at the Cold Test Pit South, Idaho National Engineering and Environmental Laboratory Type B Accident Investigation Board...

  12. Type B Accident Investigation Report of the October 28, 2004...

    Energy Savers [EERE]

    of the October 28, 2004, Burn Injuries Sustained During an Office of Secure Transportation Joint Training Exercise at Fort Hunter-Liggett, CA Type B Accident Investigation Report...

  13. Type B Accident Investigation Board Report of the September 29...

    Energy Savers [EERE]

    at the Separations Process Research Unit (SPRU), Building H2 Demolition, in Niskayuna, New, York Type B Accident Investigation Board Report of the September 29, 2010,...

  14. PROTON INDUCED SWELLING IN TYPE 316 STAINLESS STEEL

    E-Print Network [OSTI]

    Srivastava, A.K.

    2010-01-01T23:59:59.000Z

    McDonald, Void Formation in Proton- and Nicke1- Irradiatedowned rights. o -iii- PROTON INDUCED SWELLING IN TYPE 316I. II. Introduction Proton Damage Processes A. B.

  15. COLLOQUIUM: Type II Solar Radio Bursts: From Fundamental Plasma...

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

    Auditorium COLLOQUIUM: Type II Solar Radio Bursts: From Fundamental Plasma Physics to Space Weather Research Professor Iver Cairns University of Sydney - School of Physics For...

  16. Geographic Area Month Aviation Gasoline Kerosene-Type Jet Fuel

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

    Excluding Taxes) - Continued Geographic Area Month Aviation Gasoline Kerosene-Type Jet Fuel Kerosene Sales to End Users Sales for Resale Sales to End Users Sales for Resale...

  17. RNA Type III Secretion Signals that require Hfq. | EMSL

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

    that require Hfq. RNA Type III Secretion Signals that require Hfq. Abstract: effector proteins from the bacterium to a host cell; however, the secretion signal is poorly...

  18. Hypoelliptic heat kernel inequalities on H-type groups

    E-Print Network [OSTI]

    Eldredge, Nathaniel Gilbert Bartsch

    2009-01-01T23:59:59.000Z

    Hypoelliptic heat kernel inequalities on the HeisenbergHypoelliptic heat kernel inequalities on Lie groups. PhDHypoelliptic heat kernel inequalities on H-type groups A

  19. Towards a regular type N vacuum gravitational field

    E-Print Network [OSTI]

    B. V. Ivanov

    1999-10-21T23:59:59.000Z

    An exact twisting type N vacuum solution is found. It has regular gauge and curvature invariants and decays to flat spacetime for big retarded times.

  20. Type B Accident Investigation of the July 12, 2007, Forklift...

    Energy Savers [EERE]

    2, 2007, Forklift and Pedestrian Accident at the Paducah Gaseous Diffusion Plant, PortsmouthPaducah Project Office Type B Accident Investigation of the July 12, 2007, Forklift and...