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Sample records for tx antrim mi

  1. Approach to Recover Hydrocarbons from Currently Off-Limit Areas of the Antrim Formation, MI Using Low-Impact Technologies

    SciTech Connect (OSTI)

    James Wood; William Quinlan

    2008-09-30

    The goal of this project was to develop and execute a novel drilling and completion program in the Antrim Shale near the western shoreline of Northern Michigan. The target was the gas in the Lower Antrim Formation (Upper Devonian). Another goal was to see if drilling permits could be obtained from the Michigan DNR that would allow exploitation of reserves currently off-limits to exploration. This project met both of these goals: the DNR (Michigan Department of Natural Resources) issued permits that allow drilling the shallow subsurface for exploration and production. This project obtained drilling permits for the original demonstration well AG-A-MING 4-12 HD (API: 21-009-58153-0000) and AG-A-MING 4-12 HD1 (API: 21-009-58153-0100) as well as for similar Antrim wells in Benzie County, MI, the Colfax 3-28 HD and nearby Colfax 2-28 HD which were substituted for the AG-A-MING well. This project also developed successful techniques and strategies for producing the shallow gas. In addition to the project demonstration well over 20 wells have been drilled to date into the shallow Antrim as a result of this project's findings. Further, fracture stimulation has proven to be a vital step in improving the deliverability of wells to deem them commercial. Our initial plan was very simple; the 'J-well' design. We proposed to drill a vertical or slant well 30.48 meters (100 feet) below the glacial drift, set required casing, then angle back up to tap the resource lying between the base to the drift and the conventional vertical well. The 'J'-well design was tested at Mancelona Township in Antrim County in February of 2007 with the St. Mancelona 2-12 HD 3.

  2. Antrim, New Hampshire: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Antrim, New Hampshire: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 43.0309142, -71.9389689 Show Map Loading map... "minzoom":false,"mapping...

  3. EIS-0412: TX Energy, LLC, Industrial Gasification Facility Near...

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

    2: TX Energy, LLC, Industrial Gasification Facility Near Beaumont, TX EIS-0412: TX Energy, LLC, Industrial Gasification Facility Near Beaumont, TX February 18, 2009 EIS-0412: ...

  4. US WSC TX Site Consumption

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

    WSC TX Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WSC TX Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US WSC TX Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US WSC TX Expenditures dollars ELECTRICITY ONLY average per household * Texas households consume an average of 77 million Btu per year, about 14% less than the U.S. average. * Average electricity consumption per Texas home is 26% higher than

  5. D&TX

    Office of Legacy Management (LM)

    *. ( ARGONNE RATIONAL 1-Ci3ORATORY . 1 D&TX 7. my 19, 1349 70 t. Z. ROse at L, Em &=i*p~~4 DVur;uM hLl%L ?bvs -Lcs . FReti c. c. Fqpr an2 2. E. sulu+rr fis2 S*crep t & fbQ s-e: of the ?atagel DrFAm%un !! 1 0 * the >rt &Fz=z d t& &men of ScieJce & >&7*-z 4-q 2s'; %rZion 0C the ZLLS~~~ of Science a2 31~52-37 fo2 T&imcyyg c.=A+=< he-< - ,,a uas c:cgetes ALL 12, 1SL9. Z 0 sor;~~,-~-lioi! c.jme s 'm&-go& ~WC& c ",& d*cg&A

  6. CleanTX Foundation | Open Energy Information

    Open Energy Info (EERE)

    is a stub. You can help OpenEI by expanding it. CleanTX Foundation is a policy organization located in Austin, Texas. References About CleanTX Foundation Retrieved from...

  7. EIS-0412: TX Energy, LLC, Industrial Gasification Facility Near Beaumont,

    Energy Savers [EERE]

    TX | Department of Energy 2: TX Energy, LLC, Industrial Gasification Facility Near Beaumont, TX EIS-0412: TX Energy, LLC, Industrial Gasification Facility Near Beaumont, TX February 18, 2009 EIS-0412: Notice of Intent to Prepare an Environmental Impact Statement Construction of the TX Energy, LLC, Industrial Gasification Facility near Beaumont, Texas

  8. Penitas, TX Natural Gas Pipeline Imports From Mexico (Dollars...

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

    Penitas, TX Natural Gas Pipeline Imports From Mexico (Dollars per Thousand Cubic Feet) Penitas, TX Natural Gas Pipeline Imports From Mexico (Dollars per Thousand Cubic Feet) Decade ...

  9. Alamo, TX Natural Gas Pipeline Imports From Mexico (Dollars per...

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

    Alamo, TX Natural Gas Pipeline Imports From Mexico (Dollars per Thousand Cubic Feet) Alamo, TX Natural Gas Pipeline Imports From Mexico (Dollars per Thousand Cubic Feet) Decade ...

  10. EDF Industrial Power Services (TX), LLC | Open Energy Information

    Open Energy Info (EERE)

    EDF Industrial Power Services (TX), LLC Jump to: navigation, search Name: EDF Industrial Power Services (TX), LLC Place: Texas Phone Number: 877-432-4530 Website:...

  11. TX-100 manufacturing final project report.

    SciTech Connect (OSTI)

    Ashwill, Thomas D.; Berry, Derek S.

    2007-11-01

    This report details the work completed under the TX-100 blade manufacturing portion of the Carbon-Hybrid Blade Developments: Standard and Twist-Coupled Prototype project. The TX-100 blade is a 9 meter prototype blade designed with bend-twist coupling to augment the mitigation of peak loads during normal turbine operation. This structural coupling was achieved by locating off axis carbon fiber in the outboard portion of the blade skins. The report will present the tooling selection, blade production, blade instrumentation, blade shipping and adapter plate design and fabrication. The baseline blade used for this project was the ERS-100 (Revision D) wind turbine blade. The molds used for the production of the TX-100 were originally built for the production of the CX-100 blade. The same high pressure and low pressure skin molds were used to manufacture the TX-100 skins. In order to compensate for the difference in skin thickness between the CX-100 and the TX-100, however, a new TX-100 shear web plug and mold were required. Both the blade assembly fixture and the root stud insertion fixture used for the CX-100 blades could be utilized for the TX-100 blades. A production run of seven TX-100 prototype blades was undertaken at TPI Composites during the month of October, 2004. Of those seven blades, four were instrumented with strain gauges before final assembly. After production at the TPI Composites facility in Rhode Island, the blades were shipped to various test sites: two blades to the National Wind Technology Center at the National Renewable Energy Laboratory in Boulder, Colorado, two blades to Sandia National Laboratory in Albuquerque, New Mexico and three blades to the United States Department of Agriculture turbine field test facility in Bushland, Texas. An adapter plate was designed to allow the TX-100 blades to be installed on existing Micon 65/13M turbines at the USDA site. The conclusion of this program is the kick-off of the TX-100 blade testing at the three testing facilities.

  12. ARM - Field Campaign - TX-2002 AIRS Validation Campaign

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

    govCampaignsTX-2002 AIRS Validation Campaign Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : TX-2002 AIRS Validation...

  13. RAPID/Roadmap/6-TX-b | Open Energy Information

    Open Energy Info (EERE)

    Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Construction Storm Water Permit (6-TX-b) The Texas...

  14. RAPID/Roadmap/19-TX-a | Open Energy Information

    Open Energy Info (EERE)

    Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Water Access and Water Rights Overview (19-TX-a) In the late 1960's Texas...

  15. RAPID/Roadmap/14-TX-d | Open Energy Information

    Open Energy Info (EERE)

    Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us 401 Water Quality Certification (14-TX-d) Section 401 of the Clean Water Act (CWA)...

  16. RAPID/Roadmap/11-TX-b | Open Energy Information

    Open Energy Info (EERE)

    Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Human Remains Process (11-TX-b) This flowchart illustrates the procedure a...

  17. RAPID/Roadmap/11-TX-a | Open Energy Information

    Open Energy Info (EERE)

    thumbnail: Page number not in range. Flowchart Narrative 11-TX-a.1 - Have Potential Human Remains Been Discovered? If the developer discovers potential human remains during any...

  18. RAPID/Roadmap/3-TX-i | Open Energy Information

    Open Energy Info (EERE)

    construction plans on the leased asset; Permission for the representatives of TxDOT to enter the area for inspection, maintenance, or reconstruction of highway facilities as...

  19. RAPID/Roadmap/15-TX-a | Open Energy Information

    Open Energy Info (EERE)

    BETA About Bulk Transmission Geothermal Hydropower Solar Tools Contribute Contact Us Air Quality Permit - Permit to Construct (15-TX-a) This flowchart illustrates the general...

  20. RAPID/Roadmap/11-TX-c | Open Energy Information

    Open Energy Info (EERE)

    11-TX-c.2 - Does the Project Area Contain a Recorded Archaeological Site? However, oil, gas, or other mineral exploration, production, processing, marketing, refining, or...

  1. ,"Alamo, TX Natural Gas Pipeline Imports From Mexico (MMcf)"

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

    Alamo, TX Natural Gas Pipeline Imports From Mexico (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data...

  2. RAPID/Roadmap/6-TX-a | Open Energy Information

    Open Energy Info (EERE)

    must obtain the proper oversizeoverweight permit from the Texas Department of Motor Vehicles (TxDMV). 06TXAExtraLegalVehiclePermittingProcess.pdf Error creating...

  3. Hanford Single Shell Tank Leak Causes and Locations - 241-TX Farm

    SciTech Connect (OSTI)

    Girardot, C. L.; Harlow, D> G.

    2014-07-22

    This document identifies 241-TX Tank Farm (TX Farm) leak causes and locations for the 100 series leaking tanks (241-TX-107 and 241-TX-114) identified in RPP-RPT-50870, Rev. 0, Hanford 241-TX Farm Leak Inventory Assessment Report. This document satisfies the TX Farm portion of the target (T04) in the Hanford Federal Facility Agreement and Consent Order milestone M-045-91F.

  4. Penitas, TX Natural Gas Pipeline Exports to Mexico (Million Cubic...

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

    Million Cubic Feet) Penitas, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 252 1,324 824 1,017 871 770 ...

  5. Freeport, TX Liquefied Natural Gas Exports to Mexico (Million...

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

    Mexico (Million Cubic Feet) Freeport, TX Liquefied Natural Gas Exports to Mexico (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 2,725 - No Data ...

  6. Eagle Pass, TX Natural Gas Pipeline Exports to Mexico (Million...

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

    Million Cubic Feet) Eagle Pass, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 159 155 151 135 135 127 118 ...

  7. Galvan Ranch, TX Natural Gas Pipeline Imports From Mexico (Million...

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

    Million Cubic Feet) Galvan Ranch, TX Natural Gas Pipeline Imports From Mexico (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 12 40 77 59 55 47 43 41 ...

  8. Laredo, TX Liquefied Natural Gas Exports to Mexico (Million Cubic...

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

    Million Cubic Feet) Laredo, TX Liquefied Natural Gas Exports to Mexico (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2015 0.512 0.497 2016 2.732 - No ...

  9. Freeport, TX Liquefied Natural Gas Exports to South Korea (Million...

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

    South Korea (Million Cubic Feet) Freeport, TX Liquefied Natural Gas Exports to South Korea (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 3,157 ...

  10. Price Liquefied Freeport, TX Natural Gas Exports Price to Japan...

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

    Japan (Dollars per Thousand Cubic Feet) Price Liquefied Freeport, TX Natural Gas Exports Price to Japan (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

  11. TxDOT Access Management Manual | Open Energy Information

    Open Energy Info (EERE)

    Access Management Manual Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: TxDOT Access Management ManualLegal Abstract Manual prepared...

  12. RAPID/Roadmap/12-TX-a | Open Energy Information

    Open Energy Info (EERE)

    Contribute Contact Us State Biological Resource Considerations (12-TX-a) In Texas, no person may capture, trap, take, or kill, or attempt to capture, trap, take, or kill,...

  13. RAPID/Roadmap/19-TX-e | Open Energy Information

    Open Energy Info (EERE)

    will not interfere with other water rights. 19-TX-e Temporary Surface Water Permit.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  14. RAPID/Roadmap/3-TX-e | Open Energy Information

    Open Energy Info (EERE)

    the leasing process. 03-TX-e - Lease of Texas Parks & Wildlife Department Land (1).pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  15. RAPID/Roadmap/19-TX-b | Open Energy Information

    Open Energy Info (EERE)

    19-TX-b.6 - Does the Developer Own the Overlying Land? In Texas, the right to acquire and pump ground water is tied to the ownership of the land overlying the groundwater aquifer....

  16. Alamo, TX Natural Gas Pipeline Exports to Mexico (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    individual company data. Release Date: 09302015 Next Release Date: 10302015 Referring Pages: U.S. Natural Gas Pipeline Exports by Point of Exit Alamo, TX Natural Gas Exports to...

  17. McAllen, TX Natural Gas Pipeline Imports From Mexico (Dollars...

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

    McAllen, TX Natural Gas Pipeline Imports From Mexico (Dollars per Thousand Cubic Feet) McAllen, TX Natural Gas Pipeline Imports From Mexico (Dollars per Thousand Cubic Feet) Decade ...

  18. File:03-TX-g - Lease of Relinquishment Act Lands.pdf | Open Energy...

    Open Energy Info (EERE)

    TX-g - Lease of Relinquishment Act Lands.pdf Jump to: navigation, search File File history File usage Metadata File:03-TX-g - Lease of Relinquishment Act Lands.pdf Size of this...

  19. File:03-TX-f - Lease of Land Trade Lands.pdf | Open Energy Information

    Open Energy Info (EERE)

    TX-f - Lease of Land Trade Lands.pdf Jump to: navigation, search File File history File usage Metadata File:03-TX-f - Lease of Land Trade Lands.pdf Size of this preview: 463 599...

  20. Price of San Elizario, TX Natural Gas Pipeline Exports to Mexico...

    Gasoline and Diesel Fuel Update (EIA)

    Price of San Elizario, TX Natural Gas Pipeline Exports to Mexico (Dollars per Thousand Cubic Feet) Price of San Elizario, TX Natural Gas Pipeline Exports to Mexico (Dollars per...

  1. File:03-TX-e - Lease of Texas Parks & Wildlife Department Land...

    Open Energy Info (EERE)

    3-TX-e - Lease of Texas Parks & Wildlife Department Land (1).pdf Jump to: navigation, search File File history File usage Metadata File:03-TX-e - Lease of Texas Parks & Wildlife...

  2. Clint, TX Natural Gas Pipeline Exports to Mexico (Million Cubic...

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

    Million Cubic Feet) Clint, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 8,088 6,402 7,296 6,783 8,836 ...

  3. Freeport, TX Liquefied Natural Gas Exports (Million Cubic Feet)

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

    (Million Cubic Feet) Freeport, TX Liquefied Natural Gas Exports (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2016 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 04/29/2016 Next Release Date: 05/31/2016 Referring Pages: U.S.

  4. Freeport, TX Liquefied Natural Gas Exports (Million Cubic Feet)

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

    (Million Cubic Feet) Freeport, TX Liquefied Natural Gas Exports (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 2,725 2014 2,664 2015 2,805 2,728 2,947 3,145 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 04/29/2016 Next Release Date: 05/31/2016 Referring Pages: U.S.

  5. Freeport, TX Liquefied Natural Gas Exports Price (Dollars per Thousand

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

    Cubic Feet) Price (Dollars per Thousand Cubic Feet) Freeport, TX Liquefied Natural Gas Exports Price (Dollars per Thousand Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2016 10.00 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 04/29/2016 Next Release Date: 05/31/2016 Referring Pages: U.S. Price of

  6. Rotary mode core sampling approved checklist: 241-TX-113

    SciTech Connect (OSTI)

    Fowler, K.D.

    1998-08-03

    The safety assessment for rotary mode core sampling was developed using certain bounding assumptions, however, those assumptions were not verified for each of the existing or potential flammable gas tanks. Therefore, a Flammable Gas/Rotary Mode Core Sampling Approved Checklist has been completed for tank 241-TX-113 prior to sampling operations. This transmittal documents the dispositions of the checklist items from the safety assessment.

  7. Rotary mode core sampling approved checklist: 241-TX-116

    SciTech Connect (OSTI)

    FOWLER, K.D.

    1999-02-24

    The safety assessment for rotary mode core sampling was developed using certain bounding assumptions, however, those assumptions were not verified for each of the existing or potential flammable gas tanks. Therefore, a Flammable Gas/Rotary Mode Core Sampling Approved Checklist has been completed for tank 241-TX-116 prior to sampling operations. This transmittal documents the dispositions of the checklist items from the safety assessment.

  8. Albany, OR * Fairbanks, AK * Morgantown, WV * Pittsburgh, PA * Sugarland, TX

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

    Sugarland, TX Website: www.netl.doe.gov Customer Service: 1-800-553-7681 Enhanced Oil Recovery Program The mission of the Enhanced Oil Recovery Program is to provide information and technologies that will assure sustainable, reliable, affordable, and environmentally sound supplies of domestic oil resources. The Strategic Center for Natural Gas and Oil (SCNGO) seeks to accomplish this critical mission by advancing environmentally responsible technological solutions that enhance recovery of oil

  9. AMENDMENT OF SOLICITATION/MODIFICATlON OF CONTRACT MI54 I See Block 16C I

    National Nuclear Security Administration (NNSA)

    MI54 I See Block 16C I REQ. NO. Babcock & Wilcox Technical Services Pantex, LLC PO Box 30020 Amarillo, TX 79120 2. AMENDMENTIMODIFICATION NO. 1 3. EFFECTIVE DATE 1 4. REQUlSlTlONlPURCHASE 1 5. PROJECT NO. (If a ~ ~ l i c a b l e ) l.CoNTRACTIDCODE ~ . . U.S. Department of Energy National Nuclear Security Administration Service Center Property and M&O Contract Support Department P.O. Box 5400 Albuquerque, NM 87185-5400 I I 9B. DATED (SEE ITEM 1 1 ) PAGE 1 OF 2 PAGES 6. ISSUED BY CODE 1 7.

  10. DOE Zero Energy Ready Home Case Study: M Street Homes, Houston, TX |

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

    Department of Energy M Street Homes, Houston, TX DOE Zero Energy Ready Home Case Study: M Street Homes, Houston, TX DOE Zero Energy Ready Home Case Study: M Street Homes, Houston, TX Case study of a DOE Zero Energy Ready home in Houston, TX, that achieves a HERS 45 without PV or HERS 32 with 1.2 kW PV. The three-story, 4,507-ft2 custom home is powered by a unique tri-generation system that supplies all of the home's electricity, heating, and cooling on site. The tri-generator is powered by a

  11. Microsoft Word - TX-100 Final Report - SAND2007-6066.doc

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

    Manager: Tom Ashwill Abstract This report details the work completed under the TX-100 blade manufacturing portion of the Carbon-Hybrid Blade Developments: Standard and...

  12. US ENC MI Site Consumption

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

    MI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC MI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC MI Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC MI Expenditures dollars ELECTRICITY ONLY average per household * Michigan households use 123 million Btu of energy per home, 38% more than the U.S. average. * High consumption, combined with low costs for heating fuels

  13. CX-100 and TX-100 blade field tests.

    SciTech Connect (OSTI)

    Holman, Adam (USDA-Agriculture Research Service, Bushland, TX); Jones, Perry L.; Zayas, Jose R.

    2005-12-01

    In support of the DOE Low Wind Speed Turbine (LWST) program two of the three Micon 65/13M wind turbines at the USDA Agricultural Research Service (ARS) center in Bushland, Texas will be used to test two sets of experimental blades, the CX-100 and TX-100. The blade aerodynamic and structural characterization, meteorological inflow and wind turbine structural response will be monitored with an array of 75 instruments: 33 to characterize the blades, 15 to characterize the inflow, and 27 to characterize the time-varying state of the turbine. For both tests, data will be sampled at a rate of 30 Hz using the ATLAS II (Accurate GPS Time-Linked Data Acquisition System) data acquisition system. The system features a time-synchronized continuous data stream and telemetered data from the turbine rotor. This paper documents the instruments and infrastructure that have been developed to monitor these blades, turbines and inflow.

  14. Real-time sub-<mi>>ngstrom...

    Office of Scientific and Technical Information (OSTI)

    Real-time sub-<mi>>ngstrom imaging of reversible and irreversible conformations in rhodium catalysts and graphene Kisielowski, Christian; Wang,...

  15. File:USDA-CE-Production-GIFmaps-TX.pdf | Open Energy Information

    Open Energy Info (EERE)

    TX.pdf Jump to: navigation, search File File history File usage Texas Ethanol Plant Locations Size of this preview: 776 600 pixels. Full resolution (1,650 1,275 pixels,...

  16. TxDOT - Right of Way Forms webpage | Open Energy Information

    Open Energy Info (EERE)

    Right of Way Forms webpage Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: TxDOT - Right of Way Forms webpage Abstract This webpage provides the...

  17. Freeport, TX Liquefied Natural Gas Exports to Egypt (Million Cubic Feet)

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

    Egypt (Million Cubic Feet) Freeport, TX Liquefied Natural Gas Exports to Egypt (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2015 2,947 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 04/29/2016 Next Release Date: 05/31/2016 Referring Pages: U.S. Liquefied Natural Gas Exports by Point of Exit Freeport, TX Liquefied Natural Gas Exports to Egypt

  18. Freeport, TX Liquefied Natural Gas Exports to Turkey (Million Cubic Feet)

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

    Turkey (Million Cubic Feet) Freeport, TX Liquefied Natural Gas Exports to Turkey (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2015 3,145 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 04/29/2016 Next Release Date: 05/31/2016 Referring Pages: U.S. Liquefied Natural Gas Exports by Point of Exit Freeport, TX Liquefied Natural Gas Exports to Turkey

  19. Mi GmbH | Open Energy Information

    Open Energy Info (EERE)

    Mi GmbH Jump to: navigation, search Name: Mi GmbH Place: Switzerland Zip: CH-6340 Sector: Solar Product: Baar-based manufacturer and distributor of fruit juices. The firm is also...

  20. miRNAs in brain development

    SciTech Connect (OSTI)

    Petri, Rebecca; Malmevik, Josephine; Fasching, Liana; Åkerblom, Malin; Jakobsson, Johan

    2014-02-01

    MicroRNAs (miRNAs) are small, non-coding RNAs that negatively regulate gene expression at the post-transcriptional level. In the brain, a large number of miRNAs are expressed and there is a growing body of evidence demonstrating that miRNAs are essential for brain development and neuronal function. Conditional knockout studies of the core components in the miRNA biogenesis pathway, such as Dicer and DGCR8, have demonstrated a crucial role for miRNAs during the development of the central nervous system. Furthermore, mice deleted for specific miRNAs and miRNA-clusters demonstrate diverse functional roles for different miRNAs during the development of different brain structures. miRNAs have been proposed to regulate cellular functions such as differentiation, proliferation and fate-determination of neural progenitors. In this review we summarise the findings from recent studies that highlight the importance of miRNAs in brain development with a focus on the mouse model. We also discuss the technical limitations of current miRNA studies that still limit our understanding of this family of non-coding RNAs and propose the use of novel and refined technologies that are needed in order to fully determine the impact of specific miRNAs in brain development. - Highlights: • miRNAs are essential for brain development and neuronal function. • KO of Dicer is embryonically lethal. • Conditional Dicer KO results in defective proliferation or increased apoptosis. • KO of individual miRNAs or miRNA families is necessary to determine function.

  1. RCRA Assessment Plan for Single-Shell Tank Waste Management Area TX-TY

    SciTech Connect (OSTI)

    Horton, Duane G.

    2007-03-26

    WMA TX-TY contains underground, single-shell tanks that were used to store liquid waste that contained chemicals and radionuclides. Most of the liquid has been removed, and the remaining waste is regulated under the RCRA as modified in 40 CFR Part 265, Subpart F and Washington States Hazardous Waste Management Act . WMA TX-TY was placed in assessment monitoring in 1993 because of elevated specific conductance. A groundwater quality assessment plan was written in 1993 describing the monitoring activities to be used in deciding whether WMA TX-TY had affected groundwater. That plan was updated in 2001 for continued RCRA groundwater quality assessment as required by 40 CFR 265.93 (d)(7). This document further updates the assessment plan for WMA TX-TY by including (1) information obtained from ten new wells installed at the WMA after 1999 and (2) information from routine quarterly groundwater monitoring during the last five years. Also, this plan describes activities for continuing the groundwater assessment at WMA TX TY.

  2. DOE - Office of Legacy Management -- Star Cutter Corp - MI 15

    Office of Legacy Management (LM)

    Star Cutter Corp - MI 15 FUSRAP Considered Sites Site: STAR CUTTER CORP. (MI.15) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Farmington , Michigan MI.15-1 Evaluation Year: 1991 MI.15-2 Site Operations: Performed a one time uranium slug drilling operation test in 1956. MI.15-3 MI.15-1 Site Disposition: Eliminated - Potential for contamination considered remote based on limited scope and quantity of materials handled MI.15-2 Radioactive

  3. Freeport, TX Exports to India Liquefied Natural Gas (Million Cubic Feet)

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

    Exports to India Liquefied Natural Gas (Million Cubic Feet) Freeport, TX Exports to India Liquefied Natural Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 3,120 2,873 2012 3,004 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 04/29/2016 Next Release Date: 05/31/2016 Referring Pages: U.S. Liquefied Natural Gas Exports by Point of Exit Freeport, TX Liquefied Natural Gas

  4. Freeport, TX Liquefied Natural Gas Imports From Peru (Million Cubic Feet)

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

    From Peru (Million Cubic Feet) Freeport, TX Liquefied Natural Gas Imports From Peru (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 3,175 3,338 3,262 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S. Liquefied Natural Gas Imports by Point of Entry Freeport, TX LNG Imports from Peru

  5. Freeport, TX Liquefied Natural Gas Imports from Norway (Million Cubic Feet)

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

    Norway (Million Cubic Feet) Freeport, TX Liquefied Natural Gas Imports from Norway (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 2,709 2,918 2015 5,992 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S. Liquefied Natural Gas Imports by Point of Entry Freeport, TX LNG Imports from Norway

  6. Freeport, TX Liquefied Natural Gas Imports from Yemen (Million Cubic Feet)

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

    Yemen (Million Cubic Feet) Freeport, TX Liquefied Natural Gas Imports from Yemen (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 2,869 3,108 2012 2,979 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S. Liquefied Natural Gas Imports by Point of Entry Freeport, TX LNG Imports from Yemen

  7. Freeport, TX Natural Gas LNG Imports (Price) From Nigeria (Dollars per

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

    Thousand Cubic Feet) Freeport, TX Natural Gas LNG Imports (Price) From Nigeria (Dollars per Thousand Cubic Feet) Freeport, TX Natural Gas LNG Imports (Price) From Nigeria (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's -- -- -- 2010's 6.43 -- -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  8. Freeport, TX Natural Gas Liquefied Natural Gas Imports (Million Cubic Feet)

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

    (Million Cubic Feet) Freeport, TX Natural Gas Liquefied Natural Gas Imports (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 2,703 2,994 2015 5,992 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S. Liquefied Natural Gas Imports by Point of Entry Freeport, TX LNG Imports from All Countries

  9. Freeport, TX Natural Gas Liquefied Natural Gas Imports from Egypt (Million

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

    Cubic Feet) Egypt (Million Cubic Feet) Freeport, TX Natural Gas Liquefied Natural Gas Imports from Egypt (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 2,969 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S. Liquefied Natural Gas Imports by Point of Entry Freeport, TX LNG Imports from Egypt

  10. Freeport, TX Natural Gas Liquefied Natural Gas Imports from Other Countries

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

    (Million Cubic Feet) Other Countries (Million Cubic Feet) Freeport, TX Natural Gas Liquefied Natural Gas Imports from Other Countries (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 2,703 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S. Liquefied Natural Gas Imports by Point of Entry Freeport, TX LNG Imports from

  11. Golden Pass, TX Natural Gas Liquefied Natural Gas Imports (price) (Dollars

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

    per Thousand Cubic Feet) Golden Pass, TX Natural Gas Liquefied Natural Gas Imports (price) (Dollars per Thousand Cubic Feet) Golden Pass, TX Natural Gas Liquefied Natural Gas Imports (price) (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's -- -- -- 2010's 7.90 5.36 -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  12. McAllen, TX Natural Gas Pipeline Exports to Mexico (Million Cubic...

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

    Million Cubic Feet) McAllen, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 4,414 4,236 5,595 6,174 4,938 ...

  13. DOE Zero Energy Ready Home Case Study: M Street Homes, Houston, TX

    Broader source: Energy.gov [DOE]

    Case study of a DOE Zero Energy Ready home in Houston, TX, that achieves a HERS 45 without PV or HERS 32 with 1.2 kW PV. The three-story, 4,507-ft2 custom home is powered by a unique tri-generation...

  14. DOE Zero Energy Ready Home Case Study: Sterling Brook Custom Homes, Double Oak, TX

    Broader source: Energy.gov [DOE]

    Case study of a DOE Zero Energy Ready home in Double Oak, TX, north of Dallas, that scored a HERS 44 without PV. The 3,752-ft2 two-story home served as an energy-efficient model home for the custom...

  15. DOE - Office of Legacy Management -- Detrex Corp - MI 10

    Office of Legacy Management (LM)

    Detroit , Michigan MI.10-1 Evaluation Year: 1987 MI.10-2 Site Operations: Conducted experimental runs relative to picklingdegreasing of one handful of uranium turnings MI.10-1...

  16. DOE - Office of Legacy Management -- Oliver Corp - MI 11

    Office of Legacy Management (LM)

    OLIVER CORP. (MI.11 ) Eliminated from further consideration under FUSRAP - Referred to NRC Designated Name: Not Designated Alternate Name: Behnke Warehousing Incorporated MI.11-1...

  17. El Paso, TX Natural Gas Pipeline Imports From Mexico (Million Cubic Feet)

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

    Million Cubic Feet) El Paso, TX Natural Gas Pipeline Imports From Mexico (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 996 NA 2000's NA NA NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S.

  18. Penitas, TX Natural Gas Pipeline Imports From Mexico (Million Cubic Feet)

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

    Million Cubic Feet) Penitas, TX Natural Gas Pipeline Imports From Mexico (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 253 40 NA 2000's NA NA NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S.

  19. Albany, OR * Anchorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX

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

    Training Center CONTACTS Traci Rodosta Carbon Storage Technology Manager National Energy Technology Laboratory 3610 Collins Ferry Road PO Box 880 Morgantown, WV 26507 304-285-1345 traci.rodosta@netl.doe.gov Andrea Dunn Project Manager National Energy Technology Laboratory 626 Cochrans Mill Road P.O. Box 10940 Pittsburgh, PA 15236 412-386-7594 andrea.dunn@netl.doe.gov Hilary Olson Project Director/Principal Investigator University of Texas at Austin 1 University Station, C0300 Austin, TX

  20. The NuMI Neutrino Beam

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

    Adamson, P.; Anderson, K.; Andrews, M.; Andrews, R.; Anghel, I.; Augustine, D.; Aurisano, A.; Avvakumov, S.; Ayres, D. S.; Baller, B.; et al

    2015-10-20

    Our paper describes the hardware and operations of the Neutrinos at the Main Injector (NuMI) beam at Fermilab. It elaborates on the design considerations for the beam as a whole and for individual elements. The most important part of our design details pertaining to individual components is described. Beam monitoring systems and procedures, including the tuning and alignment of the beam and NuMI long-term performance, are also discussed.

  1. Texas A&M University College Station, TX 77843-3366

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

    MS #3366 Texas A&M University College Station, TX 77843-3366 Ph: 979-845-1411 Fax: 979-458-3213 Beam Time Request Form In order to be scheduled you must fill in and return this form by FAX (979-458-3213) or email to Henry Clark (clark@comp.tamu.edu) TO SCHEDULE CYCLOTRON TIME: Please indicate in the appropriate spaces below the number of 8 hour shifts you need, your preferred start date and the beams you intend to use. Since we cannot always schedule your preferred start date, please also

  2. El Paso, TX Natural Gas Pipeline Imports From Mexico (Dollars per Thousand

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

    Cubic Feet) Dollars per Thousand Cubic Feet) El Paso, TX Natural Gas Pipeline Imports From Mexico (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.09 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S. Price of

  3. Freeport, TX Liquefied Natural Gas Exports to Brazil (Million Cubic Feet)

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

    to Brazil (Million Cubic Feet) Freeport, TX Liquefied Natural Gas Exports to Brazil (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 2,581 2012 2,601 2,644 2,897 2014 2,664 2015 2,805 2,728 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 04/29/2016 Next Release Date: 05/31/2016 Referring Pages: U.S.

  4. Freeport, TX Natural Gas Liquefied Natural Gas Imports from Trinidad and

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

    Tobago (Million Cubic Feet) Trinidad and Tobago (Million Cubic Feet) Freeport, TX Natural Gas Liquefied Natural Gas Imports from Trinidad and Tobago (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 2,706 2012 2,872 2014 2,994 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S. Liquefied Natural Gas Imports by Point of

  5. Golden Pass, TX Natural Gas Liquefied Natural Gas Imports from Qatar

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

    (Million Cubic Feet) from Qatar (Million Cubic Feet) Golden Pass, TX Natural Gas Liquefied Natural Gas Imports from Qatar (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 3,902 4,896 4,100 18,487 4,900 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S.

  6. Hidalgo, TX Natural Gas Pipeline Imports From Mexico (Million Cubic Feet)

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

    Million Cubic Feet) Hidalgo, TX Natural Gas Pipeline Imports From Mexico (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 13,609 17,243 13,496 41,879 2000's 2,093 7,292 782 0 0 1,342 967 5,259 1,201 284 2010's 62 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S.

  7. Price Liquefied Freeport, TX Natural Gas Exports Price to United Kingdom

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

    (Dollars per Thousand Cubic Feet) United Kingdom (Dollars per Thousand Cubic Feet) Price Liquefied Freeport, TX Natural Gas Exports Price to United Kingdom (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's -- -- -- 2010's 7.56 -- -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 04/29/2016 Next Release Date: 05/31/2016 Referring

  8. McAllen, TX Natural Gas Pipeline Imports From Mexico (Million Cubic Feet)

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

    Million Cubic Feet) McAllen, TX Natural Gas Pipeline Imports From Mexico (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 2000's 1,118 NA 402 0 0 5,322 7,902 26,605 20,115 12,535 2010's 2,520 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S.

  9. Alamo, TX Natural Gas Pipeline Imports From Mexico (Million Cubic Feet)

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

    Million Cubic Feet) Alamo, TX Natural Gas Pipeline Imports From Mexico (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA 12,651 2000's 8,390 2,984 571 0 0 2,656 3,880 22,197 20,653 13,279 2010's 4,685 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S.

  10. Albany, OR * Archorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX

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

    Archorage, AK * Morgantown, WV * Pittsburgh, PA * Sugar Land, TX Website: www.netl.doe.gov Customer Service: 1-800-553-7681 R& D FAC T S Geological & Environmental Sciences CONTACTS OFFICE OF RESEARCH AND DEVELOPMENT Kelly Rose Principal Investigator Research Physical Scientist 541-967-5883 kelly.rose@netl.doe.gov Jennifer Bauer Geospatial Researcher 541-918-4507 jennifer.bauer@contr.netl.doe.gov Cynthia Powell Acting Focus Area Lead 541-967-5803 cynthia.powell@netl.doe.gov RESEARCH

  11. DOE - Office of Legacy Management -- Naval Ordnance Plant - MI...

    Office of Legacy Management (LM)

    - Referred to DoD for action MI.0-03-1 Also see Documents Related to NAVAL ORDNANCE PLANT MI.0-03-1 - DOE Letter; J.Fiore to C.Shafer; Subject: Information on various DOD Sites

  12. Cost-effectiveness analysis of TxDOT LPG fleet conversion. Volume 1. Interim research report

    SciTech Connect (OSTI)

    Euritt, M.A.; Taylor, D.B.; Mahmassani, H.

    1992-10-01

    Increased emphasis on energy efficiency and air quality has resulted in a number of state and federal initiatives examining the use of alternative fuels for motor vehicles. Texas' program for alternate fuels includes liquefied petroleum gas (LPG). Based on an analysis of 30-year life-cycle costs, development of a propane vehicle program for the Texas Department of Transportation (TxDOT) would cost about $24.3 million (in 1991 dollars). These costs include savings from lower-priced LPG and differentials between propane and gasoline/diesel in infrastructure costs for a fueling station, vehicle costs, and operating costs. The 30-year life-cycle costs translate into an average annual vehicle cost increase of $308, or about 2.5 cents more per vehicle mile of travel. Sensitivity analyses are performed on the discount rate, price of propane, maintenance savings, vehicle utilization, diesel vehicles, extended vehicle life, original equipment manufacturer (OEM) vehicles, and operating and infrastructure costs. The best results are obtained when not converting diesel vehicles, converting only large fleets, and extending the period the vehicle is kept in service. Combining these factors yields results that are most cost-effective for TxDOT. This is volume one of two volumes.

  13. Cost-effectiveness analysis of TxDOT LPG fleet conversion. Volume 2. Interim research report

    SciTech Connect (OSTI)

    Euritt, M.A.; Taylor, D.B.; Mahmassani, H.

    1992-11-01

    Increased emphasis on energy efficiency and air quality has resulted in a number of state and federal initiatives examining the use of alternative fuels for motor vehicles. Texas' program for alternate fuels includes liquefied petroleum gas (LPG), commonly called propane. Based on an analysis of 30-year life-cycle costs, development of a propane vehicle program for the Texas Department of Transportation (TxDOT) would cost about $24.3 million (in 1991 dollars). These costs include savings from lower-priced propane and differentials between propane and gasoline/diesel in infrastructure costs, vehicle costs, and operating costs. The 30-year life-cycle costs translate into an average annual vehicle cost increase of $308, or about 2.5 cents more per vehicle mile of travel. Based on the cost-effectiveness analysis and assumptions, there are currently no TxDOT locations that can be converted to propane without additional financial outlays. This is volume two of two volumes.

  14. miR-132 and miR-212 are increased in pancreatic cancer and target the retinoblastoma tumor suppressor

    SciTech Connect (OSTI)

    Park, Jong-Kook; Henry, Jon C.; Jiang, Jinmai; Esau, Christine; Gusev, Yuriy; Lerner, Megan R.; Postier, Russell G.; Brackett, Daniel J.; Schmittgen, Thomas D.

    2011-03-25

    Research highlights: {yields} The expression of miR-132 and miR-212 are significantly increased in pancreatic cancer. {yields} miR-132 and miR-212 target the tumor suppressor pRb, resulting in enhanced proliferation. {yields} miR-132 and miR-212 expression is increased by a {beta}2 adrenergic receptor agonist, suggesting a novel mechanism for pancreatic cancer progression. -- Abstract: Numerous microRNAs (miRNAs) are reported as differentially expressed in cancer, however the consequence of miRNA deregulation in cancer is unknown for many miRNAs. We report that two miRNAs located on chromosome 17p13, miR-132 and miR-212, are over-expressed in pancreatic adenocarcinoma (PDAC) tissues. Both miRNAs are predicted to target the retinoblastoma tumor suppressor, Rb1. Validation of this interaction was confirmed by luciferase reporter assay and western blot in a pancreatic cancer cell line transfected with pre-miR-212 and pre-miR-132 oligos. Cell proliferation was enhanced in Panc-1 cells transfected with pre-miR-132/-212 oligos. Conversely, antisense oligos to miR-132/-212 reduced cell proliferation and caused a G{sub 2}/M cell cycle arrest. The mRNA of a number of E2F transcriptional targets were increased in cells over expressing miR-132/-212. Exposing Panc-1 cells to the {beta}2 adrenergic receptor agonist, terbutaline, increased the miR-132 and miR-212 expression by 2- to 4-fold. We report that over-expression of miR-132 and miR-212 result in reduced pRb protein in pancreatic cancer cells and that the increase in cell proliferation from over-expression of these miRNAs is likely due to increased expression of several E2F target genes. The {beta}2 adrenergic pathway may play an important role in this novel mechanism.

  15. “Nodal Gap” induced by the incommensurate diagonal spin density modulation in underdoped high- <mi>Tmi>c> superconductors

    SciTech Connect (OSTI)

    Zhou, Tao; Gao, Yi; Zhu, Jian -Xin

    2015-03-07

    Recently it was revealed that the whole Fermi surface is fully gapped for several families of underdoped cuprates. The existence of the finite energy gap along the <mi>d>-wave nodal lines (nodal gap) contrasts the common understanding of the <mi>d>-wave pairing symmetry, which challenges the present theories for the high-<mi>Tmi><mi>c>superconductors. Here we propose that the incommensurate diagonal spin-density-wave order can account for the above experimental observation. The Fermi surface and the local density of states are also studied. Our results are in good agreement with many important experiments in high-<mi>Tmi><mi>c>superconductors.

  16. EIS-0412: Federal Loan Guarantee to Support Construction of the TX Energy LLC, Industrial Gasification Facility near Beaumont, Texas

    Broader source: Energy.gov [DOE]

    The Department of Energy is assessing the potential environmental impacts for its proposed action of issuing a Federal loan guarantee to TX Energy, LLC (TXE). TXE submitted an application to DOE under the Federal loan guarantee program pursuant to the Energy Policy Act of 2005 (EPAct 2005) to support construction of the TXE industrial Gasification Facility near Beaumont, Texas.

  17. RCRA Assessment Plan for Single-Shell Tank Waste Management Area TX-TY at the Hanford Site

    SciTech Connect (OSTI)

    Hodges, Floyd N.; Chou, Charissa J.

    2001-02-23

    A groundwater quality assessment plan was prepared to investigate the rate and extent of aquifer contamination beneath Waste Management Area TX-TY on the Hanford Site in Washington State. This plan is an update of a draft plan issued in February 1999, which guided work performed in fiscal year 2000.

  18. Hidalgo, TX Natural Gas Pipeline Imports From Mexico (Dollars per Thousand

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

    Cubic Feet) Dollars per Thousand Cubic Feet) Hidalgo, TX Natural Gas Pipeline Imports From Mexico (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.26 2.31 2.03 2.09 2000's 5.85 4.61 2.26 -- -- 8.10 5.53 6.23 5.55 4.40 2010's 4.21 -- -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  19. DOE - Office of Legacy Management -- Adrian - MI 01

    Office of Legacy Management (LM)

    Adrian, Michigan MI.01-3 Historical Operations: Performed uranium extrusion research and development and metal fabrication work for the AEC using uranium, thorium, and plutonium. ...

  20. MINOS Experiment and NuMI Beam Home Page

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

    NuMI-MINOS Neutrino Logo NuMI Beamline and MINOS Experiment Neutrino Logo The MINOS Experiment and NuMI Beamline Fermilab Logo MINOS Experiment Links ◊ MINOS for the Public ◊ Scientific Results ◊ MINOS at Work ◊ NuMI at Work ◊ MINOS+ Experiment Fermilab Neutrino Links ◊ Neutrino FAQ ◊ MINOS Underground Areas at Fermilab ◊ PPD Intensity Frontier Dept Back to - - - ◊ Fermilab at Work ◊ Fermilab Home the MINOS Far Detector in the Soudan Mine MINOS collaborators assembling the

  1. ,"Detroit, MI Natural Gas Pipeline Imports From Canada (MMcf...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Detroit, MI Natural Gas Pipeline Imports From Canada (MMcf)",1,"Annual",2014 ,"Release...

  2. Reservoir fracture mapping using microearthquakes: Austin chalk, Giddings field, TX and 76 field, Clinton Co., KY

    SciTech Connect (OSTI)

    Phillips, W.S.; Rutledge, J.T.; Gardner, T.L.; Fairbanks, T.D.; Miller, M.E.; Schuessler, B.K.

    1996-11-01

    Patterns of microearthquakes detected downhole defined fracture orientation and extent in the Austin chalk, Giddings field, TX and the 76 field, Clinton Co., KY. We collected over 480 and 770 microearthquakes during hydraulic stimulation at two sites in the Austin chalk, and over 3200 during primary production in Clinton Co. Data were of high enough quality that 20%, 31% and 53% of the events could be located, respectively. Reflected waves constrained microearthquakes to the stimulated depths at the base of the Austin chalk. In plan view, microearthquakes defined elongate fracture zones extending from the stimulation wells parallel to the regional fracture trend. However, widths of the stimulated zones differed by a factor of five between the two Austin chalk sites, indicating a large difference in the population of ancillary fractures. Post-stimulation production was much higher from the wider zone. At Clinton Co., microearthquakes defined low-angle, reverse-fault fracture zones above and below a producing zone. Associations with depleted production intervals indicated the mapped fractures had been previously drained. Drilling showed that the fractures currently contain brine. The seismic behavior was consistent with poroelastic models that predicted slight increases in compressive stress above and below the drained volume.

  3. Nanoscale elastic changes in 2D Ti3C2Tx (MXene) pseudocapacitive electrodes

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

    Come, Jeremy; Xie, Yu; Naguib, Michael; Jesse, Stephen; Kalinin, Sergei V.; Gogotsi, Yury; Kent, Paul R. C.; Balke, Nina

    2016-02-01

    Designing sustainable electrodes for next generation energy storage devices relies on the understanding of their fundamental properties at the nanoscale, including the comprehension of ions insertion into the electrode and their interactions with the active material. One consequence of ion storage is the change in the electrode volume resulting in mechanical strain and stress that can strongly affect the cycle life. Therefore, it is important to understand the changes of dimensions and mechanical properties occurring during electrochemical reactions. While the characterization of mechanical properties via macroscopic measurements is well documented, in-situ characterization of their evolution has never been achieved atmore » the nanoscale. Two dimensional (2D) carbides, known as MXenes, are promising materials for supercapacitors and various kinds of batteries, and understating the coupling between their mechanical and electrochemical properties is therefore necessary. Here we report on in-situ imaging, combined with density functional theory of the elastic changes, of a 2D titanium carbide (Ti3C2Tx) electrode in direction normal to the basal plane during cation intercalation. The results show a strong correlation between the Li+ ions content and the elastic modulus, whereas little effects of K+ ions are observed. Moreover, this strategy enables identifying the preferential intercalation pathways within a single particle.« less

  4. Role for DNA methylation in the regulation of miR-200c and miR-141 expression in normal and cancer cells

    SciTech Connect (OSTI)

    Vrba, Lukas; Jensen, Taylor J.; Garbe, James C.; Heimark, Ronald L.; Cress, Anne E.; Dickinson, Sally; Stampfer, Martha R.; Futscher, Bernard W.

    2009-12-23

    BACKGROUND: The microRNA-200 family participates in the maintenance of an epithelial phenotype and loss of its expression can result in epithelial to mesenchymal transition (EMT). Furthermore, the loss of expression of miR-200 family members is linked to an aggressive cancer phenotype. Regulation of the miR-200 family expression in normal and cancer cells is not fully understood. METHODOLOGY/ PRINCIPAL FINDINGS: Epigenetic mechanisms participate in the control of miR-200c and miR-141 expression in both normal and cancer cells. A CpG island near the predicted mir-200c/mir-141 transcription start site shows a striking correlation between miR-200c and miR-141 expression and DNA methylation in both normal and cancer cells, as determined by MassARRAY technology. The CpG island is unmethylated in human miR-200/miR-141 expressing epithelial cells and in miR-200c/miR-141 positive tumor cells. The CpG island is heavily methylated in human miR-200c/miR-141 negative fibroblasts and miR-200c/miR-141 negative tumor cells. Mouse cells show a similar inverse correlation between DNA methylation and miR-200c expression. Enrichment of permissive histone modifications, H3 acetylation and H3K4 trimethylation, is seen in normal miR-200c/miR-141-positive epithelial cells, as determined by chromatin immunoprecipitation coupled to real-time PCR. In contrast, repressive H3K9 dimethylation marks are present in normal miR-200c/miR-141-negative fibroblasts and miR-200c/miR-141 negative cancer cells and the permissive histone modifications are absent. The epigenetic modifier drug, 5-aza-2'-deoxycytidine, reactivates miR-200c/miR-141 expression showing that epigenetic mechanisms play a functional role in their transcriptional control. CONCLUSIONS/ SIGNIFICANCE: We report that DNA methylation plays a role in the normal cell type-specific expression of miR-200c and miR-141 and this role appears evolutionarily conserved, since similar results were obtained in mouse. Aberrant DNA methylation of the miR-200c/141 CpG island is closely linked to their inappropriate silencing in cancer cells. Since the miR-200c cluster plays a significant role in EMT, our results suggest an important role for DNA methylation in the control of phenotypic conversions in normal cells.

  5. miR-92a family and their target genes in tumorigenesis and metastasis

    SciTech Connect (OSTI)

    Li, Molin; Guan, Xingfang; Sun, Yuqiang; Mi, Jun; Shu, Xiaohong; Liu, Fang; Li, Chuangang

    2014-04-15

    The miR-92a family, including miR-25, miR-92a-1, miR-92a-2 and miR-363, arises from three different paralog clusters miR-17-92, miR-106a-363, and miR-106b-25 that are highly conservative in the process of evolution, and it was thought as a group of microRNAs (miRNAs) correlated with endothelial cells. Aberrant expression of miR-92a family was detected in multiple cancers, and the disturbance of miR-92a family was related with tumorigenesis and tumor development. In this review, the progress on the relationship between miR-92a family and their target genes and malignant tumors will be summarized. - Highlights: Aberrant expression of miR-92a, miR-25 and miR-363 can be observed in many kinds of malignant tumors. The expression of miR-92a family is regulated by LOH, epigenetic alteration, transcriptional factors such as SP1, MYC, E2F, wild-type p53 etc. Roles of miR-92a family in tumorigenesis and development: promoting cell proliferation, invasion and metastasis, inhibiting cell apoptosis.

  6. DOE - Office of Legacy Management -- Baker-Perkins Co - MI 13

    Office of Legacy Management (LM)

    Baker-Perkins Co - MI 13 FUSRAP Considered Sites Site: Baker-Perkins Co (MI 13) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Saginaw , Michigan MI.13-1 Evaluation Year: 1991 MI.13-1 MI.13-2 Site Operations: Small scale oxide mixing demonstrations and testing in May, 1956. MI.13-2 Site Disposition: Eliminated - Potential for contamination remote based on limited scope of activities at the site MI.13-3 Radioactive Materials Handled: Yes

  7. Detroit, MI Natural Gas Pipeline Imports From Canada (Million...

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

    data. Release Date: 09302015 Next Release Date: 10302015 Referring Pages: U.S. Natural Gas Pipeline Imports by Point of Entry Detroit, MI Natural Gas Imports by Pipeline from...

  8. Detroit, MI Natural Gas Pipeline Imports From Canada (Dollars...

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

    Date: 09302015 Next Release Date: 10302015 Referring Pages: U.S. Price of Natural Gas Pipeline Imports by Point of Entry Detroit, MI Natural Gas Imports by Pipeline from...

  9. SURFACE GEOPHYSICAL EXPLORATION OF TX-TY TANK FARMS AT THE HANFORD SITE RESULTS OF BACKGROUND CHARACTERIZATION WITH GROUND PENETRATING RADAR

    SciTech Connect (OSTI)

    MYERS DA; CUBBAGE R; BRAUCHLA R; O'BRIEN G

    2008-07-24

    Ground penetrating radar surveys of the TX and TY tank farms were performed to identify existing infrastructure in the near surface environment. These surveys were designed to provide background information supporting Surface-to-Surface and Well-to-Well resistivity surveys of Waste Management Area TX-TY. The objective of the preliminary investigation was to collect background characterization information with GPR to understand the spatial distribution of metallic objects that could potentially interfere with the results from high resolution resistivity{trademark} surveys. The results of the background characterization confirm the existence of documented infrastructure, as well as highlight locations of possible additional undocumented subsurface metallic objects.

  10. miR-17 inhibitor suppressed osteosarcoma tumor growth and metastasis via increasing PTEN expression

    SciTech Connect (OSTI)

    Gao, Yong; Luo, Ling-hui; Li, Shuai; Yang, Cao

    2014-02-07

    Highlights: • miR-17 was increased in OS tissues and cell lines. • Inhibition of miR-17 suppressed OS cell proliferation. • Inhibition of miR-17 suppressed OS cell migration and invasion. • PTEN was a target of miR-17. • miR-17 was negatively correlated with PTEN in OS tissues. - Abstract: MicroRNAs (miRNAs) play essential roles in cancer development and progression. Here, we investigated the role of miR-17 in the progression and metastasis of osteosarcoma (OS). miR-17 was frequently increased in OS tissues and cell lines. Inhibition of miR-17 in OS cell lines substantially suppressed cell proliferation, migration, and invasion. Phosphatase and tensin homolog (PTEN) was identified as a target of miR-17, and ectopic expression of miR-17 inhibited PTEN by direct binding to its 3′-untranslated region (3′-UTR). Expression of miR-17 was negatively correlated with PTEN in OS tissues. Together, these findings indicate that miR-17 acts as an oncogenic miRNA and may contribute to the progression and metastasis of OS, suggesting miR-17 as a potential novel diagnostic and therapeutic target of OS.

  11. MiR-218 Mediates tumorigenesis and metastasis: Perspectives and implications

    SciTech Connect (OSTI)

    Lu, Ying-fei; Zhang, Li; Waye, Mary Miu Yee; Fu, Wei-ming; Zhang, Jin-fang

    2015-05-15

    MicroRNAs (miRNAs) are a class of small non-coding RNAs that negatively regulate gene expression at the post-transcriptional level. As a highly conserved miRNA across a variety of species, microRNA-218 (miR-218) was found to play pivotal roles in tumorigenesis and progression. A group of evidence has demonstrated that miR-218 acts as a tumor suppressor by targeting many oncogenes related to proliferation, apoptosis and invasion. In this review, we provide a complex overview of miR-218, including its regulatory mechanisms, known functions in cancer and future challenges as a potential therapeutic target in human cancers. - Highlights: • miR-218 is frequently down regulated in multiple cancers. • miR-218 plays pivotal roles in carcinogenesis. • miR-218 mediates proliferation, apoptosis, metastasis, invasion, etc. • miR-218 mediates tumorigenesis and metastasis via multiple pathways.

  12. Alternating magnetic anisotropy of Li2(Li1xTx)N(T=Mn,Fe,Co,andNi)

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

    Jesche, A.; Ke, L.; Jacobs, J. L.; Harmon, B.; Houk, R. S.; Canfield, P. C.

    2015-05-11

    Substantial amounts of the transition metals Mn, Fe, Co, and Ni can be substituted for Li in single crystalline Li2(Li1xTx)N. Isothermal and temperature-dependent magnetization measurements reveal local magnetic moments with magnitudes significantly exceeding the spin-only value. The additional contributions stem from unquenched orbital moments that lead to rare-earth-like behavior of the magnetic properties. Accordingly, extremely large magnetic anisotropies have been found. Most notably, the magnetic anisotropy alternates as easy plane?easy axis?easy plane?easy axis when progressing from T = Mn ? Fe ? Co ? Ni. This behavior can be understood based on a perturbation approach in an analytical, single-ion model.moreAs a result, the calculated magnetic anisotropies show surprisingly good agreement with the experiment and capture the basic features observed for the different transition metals.less

  13. Alternating magnetic anisotropy of Li2(Li1–xTx)N (T = Mn, Fe, Co, and Ni)

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

    Jesche, A.; Ke, L.; Jacobs, J. L.; Harmon, B.; Houk, R. S.; Canfield, P. C.

    2015-05-11

    Substantial amounts of the transition metals Mn, Fe, Co, and Ni can be substituted for Li in single crystalline Li2(Li1–xTx)N. Isothermal and temperature-dependent magnetization measurements reveal local magnetic moments with magnitudes significantly exceeding the spin-only value. The additional contributions stem from unquenched orbital moments that lead to rare-earth-like behavior of the magnetic properties. Accordingly, extremely large magnetic anisotropies have been found. Most notably, the magnetic anisotropy alternates as easy plane→easy axis→easy plane→easy axis when progressing from T = Mn → Fe → Co → Ni. This behavior can be understood based on a perturbation approach in an analytical, single-ion model.more » As a result, the calculated magnetic anisotropies show surprisingly good agreement with the experiment and capture the basic features observed for the different transition metals.« less

  14. miRNA-205 affects infiltration and metastasis of breast cancer

    SciTech Connect (OSTI)

    Wang, Zhouquan; Department of Tumor, SenGong Hospital of Shaanxi, Xian 710300 ; Liao, Hehe; Deng, Zhiping; Yang, Po; Du, Ning; Zhanng, Yunfeng; Ren, Hong

    2013-11-08

    Highlights: We detected expression of miR-205 in breast cancer cell lines and tissue samples. We suggest miR-205 is downregulated in human breast cancer tissues and MCF7 cells. We suggest the lower expression of miR-205 play a role in breast cancer onset. These data suggest that miR-205 directly targets HER3 in human breast cancer. -- Abstract: Background: An increasing number of studies have shown that miRNAs are commonly deregulated in human malignancies, but little is known about the function of miRNA-205 (miR-205) in human breast cancer. The present study investigated the influence of miR-205 on breast cancer malignancy. Methods: The expression level of miR-205 in the MCF7 breast cancer cell line was determined by quantitative (q)RT-PCR. We then analyzed the expression of miR-205 in breast cancer and paired non-tumor tissues. Finally, the roles of miR-205 in regulating tumor proliferation, apoptosis, migration, and target gene expression were studied by MTT assay, flow cytometry, qRT-PCR, Western blotting and luciferase assay. Results: miR-205 was downregulated in breast cancer cells or tissues compared with normal breast cell lines or non-tumor tissues. Overexpression of miR-205 reduced the growth and colony-formation capacity of MCF7 cells by inducing apoptosis. Overexpression of miR-205 inhibited MCF7 cell migration and invasiveness. By bioinformation analysis, miR-205 was predicted to bind to the 3? untranslated regions of human epidermal growth factor receptor (HER)3 mRNA, and upregulation of miR-205 reduced HER3 protein expression. Conclusion: miR-205 is a tumor suppressor in human breast cancer by post-transcriptional inhibition of HER3 expression.

  15. Port Huron, MI Liquefied Natural Gas Exports (Million Cubic Feet)

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

    (Million Cubic Feet) Port Huron, MI Liquefied Natural Gas Exports (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1 2014 1 1 1 1 2 1 1 1 1 1 2015 1 1 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 04/29/2016 Next Release Date: 05/31/2016 Referring Pages: U.S. Liquefied Natural Gas Exports by Point of Exit Port Huron, MI LNG Exports to All Countries

  16. DOE - Office of Legacy Management -- Mitts-Merrel Co - MI 14

    Office of Legacy Management (LM)

    1993 MI.14-2 Site Operations: Reduced thorium metal chunks into particle sized pieces ... Primary Radioactive Materials Handled: Thorium MI.14-1 Radiological Survey(s): Yes - ...

  17. DOE - Office of Legacy Management -- Amex Specialty Metal Corp - MI 0-01

    Office of Legacy Management (LM)

    Amex Specialty Metal Corp - MI 0-01 FUSRAP Considered Sites Site: Amex Specialty Metal Corp (MI.0-01 ) Eliminated from further consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Coldwater , Michigan MI.0-01-1 Evaluation Year: 1987 MI.0-01-1 Site Operations: No indication that AMEX performed work for MED or AEC activities. Originally included on FUSRAP list due to fact that AMEX purchased milling equipment from a company that had done uranium milling.

  18. Radiosensitizing Effects of Ectopic miR-101 on Non-Small-Cell Lung Cancer Cells Depend on the Endogenous miR-101 Level

    SciTech Connect (OSTI)

    Chen, Susie; Wang Hongyan; Ng, Wooi Loon; Curran, Walter J.; Wang Ya

    2011-12-01

    Purpose: Previously, we showed that ectopic miR-101 could sensitize human tumor cells to radiation by targeting ATM and DNA-PK catalytic subunit (DNA-PKcs) to inhibit DNA repair, as the endogenous miR-101 levels are low in tumors in general. However, the heterogeneity of human cancers may result in an exception. The purpose of this study was to test the hypothesis that a few tumor cell lines with a high level of endogenous miR-101 would prove less response to ectopic miR-101. Methods and Materials: Fourteeen non-small-cell lung cancer (NSCLC) cell lines and one immortalized non-malignant lung epithelial cell line (NL20) were used for comparing endogenous miR-101 levels by real-time reverse transcription-polymerase chain reaction. Based on the different miR-101 levels, four cell lines with different miR-101 levels were chosen for transfection with a green fluorescent protein-lentiviral plasmid encoding miR-101. The target protein levels were measured by using Western blotting. The radiosensitizing effects of ectopic miR-101 on these NSCLC cell lines were determined by a clonogenic assay and xenograft mouse model. Results: The endogenous miR-101 level was similar or lower in 13 NSCLC cell lines but was 11-fold higher in one cell line (H157) than in NL20 cells. Although ectopic miR-101 efficiently decreased the ATM and DNA-PKcs levels and increased the radiosensitization level in H1299, H1975, and A549 cells, it did not change the levels of the miR-101 targets or radiosensitivity in H157 cells. Similar results were observed in xenograft mice. Conclusions: A small number of NSCLC cell lines could have a high level of endogenous miR-101. The ectopic miR-101 was able to radiosensitize most NSCLC cells, except for the NSCLC cell lines that had a much higher endogenous miR-101 level. These results suggest that when we choose one miRNA as a therapeutic tool, the endogenous level of the miRNA in each tumor should be considered.

  19. miR-30a suppresses breast cancer cell proliferation and migration by targeting Eya2

    SciTech Connect (OSTI)

    Fu, Jing; Xu, Xiaojie; Kang, Lei; Zhou, Liying; Wang, Shibin; Lu, Juming; Cheng, Long; Fan, Zhongyi; Yuan, Bin; Tian, Peirong; Zheng, Xiaofei; Yu, Chengze; Ye, Qinong; Lv, Zhaohui

    2014-03-07

    Highlights: miR-30a represses Eya2 expression by binding to the 3?-untranslated region of Eya2. The miR-30a/EYA2 axis regulates breast cancer cell proliferation and migration. The miR-30a/EYA2 axis modulates G1/S cell cycle progression. The miR-30a/EYA2 axis is dysregulated in breast cancer patients. - Abstract: Eye absent (Eya) proteins are involved in cell fate determination in a broad spectrum of cells and tissues. Aberrant expression of Eya2 has been documented in a variety of cancers and correlates with clinical outcome. However, whether microRNAs (miRNAs) can regulate Eya2 expression remains unknown. Here, we show that miR-30a represses Eya2 expression by binding to the 3?-untranslated region of Eya2. Overexpression of Eya2 in miR-30a-transfected breast cancer cells effectively rescued the inhibition of cell proliferation and migration caused by miR-30a. Knockdown of Eya2 by small-interfering RNA (siRNA) in breast cancer cells mimicked the effect induced by miR-30a and abolished the ability of miR-30a to regulate breast cancer cell proliferation and migration. The miR-30a/Eya2 axis could regulate G1/S cell cycle progression, accompanied by the modulation of expression of cell cycle-related proteins, including cyclin A, cyclin D1, cyclin E, and c-Myc. Moreover, miR-30a expression was downregulated in breast cancer patients, and negatively correlated with Eya2, which was upregulated in breast cancer patients. These data suggest that the miR-30a/Eya2 axis may play an important role in breast cancer development and progression and that miR-30a activation or Eya2 inhibition may be a useful strategy for cancer treatment.

  20. Resolving the structure of Ti3C2Tx MXenes through multilevel structural modeling of the atomic pair distribution function

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

    Wesolowski, David J.; Wang, Hsiu -Wen; Page, Katharine L.; Naguib, Michael; Gogotsi, Yury

    2015-12-08

    MXenes are a recently discovered family of two-dimensional (2D) early transition metal carbides and carbonitrides, which have already shown many attractive properties and a great promise in energy storage and many other applications. However, a complex surface chemistry and small coherence length has been an obstacle in some applications of MXenes, also limiting accuracy of predictions of their properties. In this study, we describe and benchmark a novel way of modeling layered materials with real interfaces (diverse surface functional groups and stacking order between the adjacent monolayers) against experimental data. The structures of three kinds of Ti3C2Tx MXenes (T standsmore » for surface terminating species, including O, OH, and F) produced under different synthesis conditions were resolved for the first time using atomic pair distribution function obtained by high-quality neutron total scattering. The true nature of the material can be easily captured with the sensitivity of neutron scattering to the surface species of interest and the detailed third-generation structure model we present. The modeling approach leads to new understanding of MXene structural properties and can replace the currently used idealized models in predictions of a variety of physical, chemical and functional properties of Ti3C2-based MXenes. Furthermore, the developed models can be employed to guide the design of new MXene materials with selected surface termination and controlled contact angle, catalytic, optical, electrochemical and other properties. We suggest that the multi-level structural modeling should form the basis for a generalized methodology on modeling diffraction and pair distribution function data for 2D and layered materials.« less

  1. Integrative analyses of miRNA and proteomics identify potential biological

    Office of Scientific and Technical Information (OSTI)

    pathways associated with onset of pulmonary fibrosis in the bleomycin rat model (Journal Article) | SciTech Connect Integrative analyses of miRNA and proteomics identify potential biological pathways associated with onset of pulmonary fibrosis in the bleomycin rat model Citation Details In-Document Search Title: Integrative analyses of miRNA and proteomics identify potential biological pathways associated with onset of pulmonary fibrosis in the bleomycin rat model To determine miRNAs and

  2. Genome-Wide Analysis of miRNA targets in Brachypodium and Biomass Energy Crops

    SciTech Connect (OSTI)

    Green, Pamela J.

    2015-08-11

    MicroRNAs (miRNAs) contribute to the control of numerous biological processes through the regulation of specific target mRNAs. Although the identities of these targets are essential to elucidate miRNA function, the targets are much more difficult to identify than the small RNAs themselves. Before this work, we pioneered the genome-wide identification of the targets of Arabidopsis miRNAs using an approach called PARE (German et al., Nature Biotech. 2008; Nature Protocols, 2009). Under this project, we applied PARE to Brachypodium distachyon (Brachypodium), a model plant in the Poaceae family, which includes the major food grain and bioenergy crops. Through in-depth global analysis and examination of specific examples, this research greatly expanded our knowledge of miRNAs and target RNAs of Brachypodium. New regulation in response to environmental stress or tissue type was found, and many new miRNAs were discovered. More than 260 targets of new and known miRNAs with PARE sequences at the precise sites of miRNA-guided cleavage were identified and characterized. Combining PARE data with the small RNA data also identified the miRNAs responsible for initiating approximately 500 phased loci, including one of the novel miRNAs. PARE analysis also revealed that differentially expressed miRNAs in the same family guide specific target RNA cleavage in a correspondingly tissue-preferential manner. The project included generation of small RNA and PARE resources for bioenergy crops, to facilitate ongoing discovery of conserved miRNA-target RNA regulation. By associating specific miRNA-target RNA pairs with known physiological functions, the research provides insights about gene regulation in different tissues and in response to environmental stress. This, and release of new PARE and small RNA data sets should contribute basic knowledge to enhance breeding and may suggest new strategies for improvement of biomass energy crops.

  3. DLEU2, frequently deleted in malignancy, functions as a critical host gene of the cell cycle inhibitory microRNAs miR-15a and miR-16-1

    SciTech Connect (OSTI)

    Lerner, Mikael; Harada, Masako; Loven, Jakob; Castro, Juan; Davis, Zadie; Oscier, David; Henriksson, Marie; Sangfelt, Olle; Grander, Dan; Corcoran, Martin M.

    2009-10-15

    The microRNAs miR-15a and miR-16-1 are downregulated in multiple tumor types and are frequently deleted in chronic lymphocytic leukemia (CLL), myeloma and mantle cell lymphoma. Despite their abundance in most cells the transcriptional regulation of miR-15a/16-1 remains unclear. Here we demonstrate that the putative tumor suppressor DLEU2 acts as a host gene of these microRNAs. Mature miR-15a/miR-16-1 are produced in a Drosha-dependent process from DLEU2 and binding of the Myc oncoprotein to two alterative DLEU2 promoters represses both the host gene transcript and levels of mature miR-15a/miR-16-1. In line with a functional role for DLEU2 in the expression of the microRNAs, the miR-15a/miR-16-1 locus is retained in four CLL cases that delete both promoters of this gene and expression analysis indicates that this leads to functional loss of mature miR-15a/16-1. We additionally show that DLEU2 negatively regulates the G1 Cyclins E1 and D1 through miR-15a/miR-16-1 and provide evidence that these oncoproteins are subject to miR-15a/miR-16-1-mediated repression under normal conditions. We also demonstrate that DLEU2 overexpression blocks cellular proliferation and inhibits the colony-forming ability of tumor cell lines in a miR-15a/miR-16-1-dependent way. Together the data illuminate how inactivation of DLEU2 promotes cell proliferation and tumor progression through functional loss of miR-15a/miR-16-1.

  4. miR-4295 promotes cell proliferation and invasion in anaplastic thyroid carcinoma via CDKN1A

    SciTech Connect (OSTI)

    Shao, Mingchen; Geng, Yiwei; Lu, Peng; Xi, Ying; Wei, Sidong; Wang, Liuxing; Fan, Qingxia; Ma, Wang

    2015-09-04

    MicroRNAs (miRNAs) play important roles in the pathogenesis of many types of cancers by negatively regulating gene expression at posttranscriptional level. However, the role of microRNAs in anaplastic thyroid carcinoma (ATC), has remained elusive. Here, we identified that miR-4295 promotes ATC cell proliferation by negatively regulates its target gene CDKN1A. In ATC cell lines, CCK-8 proliferation assay indicated that the cell proliferation was promoted by miR-4295, while miR-4295 inhibitor significantly inhibited the cell proliferation. Transwell assay showed that miR-4295 mimics significantly promoted the migration and invasion of ATC cells, whereas miR-4295 inhibitors significantly reduced cell migration and invasion. luciferase assays confirmed that miR-4295 directly bound to the 3'untranslated region of CDKN1A, and western blotting showed that miR-4295 suppressed the expression of CDKN1A at the protein levels. This study indicated that miR-4295 negatively regulates CDKN1A and promotes proliferation and invasion of ATC cell lines. Thus, miR-4295 may represent a potential therapeutic target for ATC intervention. - Highlights: • miR-4295 mimics promote the proliferation and invasion of ATC cells. • miR-4295 inhibitors inhibit the proliferation and invasion of ATC cells. • miR-4295 targets 3′UTR of CDKN1A in ATC cells. • miR-4295 negatively regulates CDKN1A in ATC cells.

  5. Microfluidic Molecular Assay Platform for the Detection of miRNAs...

    Office of Scientific and Technical Information (OSTI)

    Article: Microfluidic Molecular Assay Platform for the Detection of miRNAs, mRNAs, Proteins, and Post-translational Modifications at Single-cell Resolution. Citation Details...

  6. LBNL: Architecture 2030 District Program and Small Commercial...

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

    Silicon Valley City of San Jose - San Jose, CA - Arizona State University - Phoenix, AZ - Emerging 2030 Districts - Ann Arbor, MI; Detroit, MI; San Antonio, TX; Ithaca, ...

  7. Groundwater protection for the NuMI project

    SciTech Connect (OSTI)

    Wehmann, A.; Smart, W.; Menary, S.; Hylen, J.; Childress, S.

    1997-10-01

    The physics requirements for the long base line neutrino oscillation experiment MINOS dictate that the NuMI beamline be located in the aquifer at Fermilab. A methodology is described for calculating the level of radioactivation of groundwater caused by operation of this beamline. A conceptual shielding design for the 750 meter long decay pipe is investigated which would reduce radioactivation of the groundwater to below government standards. More economical shielding designs to meet these requirements are being explored. Also, information on local geology, hydrogeology, government standards, and a glossary have been included.

  8. HIA 2015 DOE Zero Energy Ready Home Case Study: Carl Franklin Homes, L.C./Green Extreme Homes, CDC, McKinley Project, Garland TX

    Energy Savers [EERE]

    Carl Franklin Homes, L.C./ Green Extreme Homes, CDC McKinley Project Garland, TX DOE ZERO ENERGY READY HOME(tm) The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specified in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR Certified Homes Version 3.0 for an energy-efficient home built on a solid foundation of building science research.

  9. ~tx421.ptx

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

    ... a day-to- 3 day percentage change in past prices. 4 But what ... similar to our STEO query system where the 20 user could ... The term that I've 20 used in class all the time, I tend to ...

  10. ~tx410.ptx

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

    ... right. 13 I'll legally change my name to sucker. 14 ... I lead a group that basically 18 does power system modeling, ... graduate energy modeling class where we 19 actually have ...

  11. Training Session: Euless, TX

    Broader source: Energy.gov [DOE]

    This 3.5-hour training provides builders with a comprehensive review of zero energy-ready home construction including the business case, detailed specifications, and opportunities to be recognized...

  12. Characterization of Vadose Zone Sediments Below the TX Tank Farm: Boreholes C3830, C3831, C3832 and RCRA Borehole 299-W10-27

    SciTech Connect (OSTI)

    Serne, R. Jeffrey; Bjornstad, Bruce N.; Horton, Duane G.; Lanigan, David C.; Lindenmeier, Clark W.; Lindberg, Michael J.; Clayton, Ray E.; Legore, Virginia L.; Orr, Robert D.; Kutnyakov, Igor V.; Baum, Steven R.; Geiszler, Keith N.; Valenta, Michelle M.; Vickerman, Tanya S.

    2008-09-11

    This report was revised in September 2008 to remove acid-extractable sodium data from Tables 4.8, 4.28,4.43, and 4.59. The sodium data was removed due to potential contamination introduced during the acid extraction process. The rest of the text remains unchanged from the original report issued in April 2004. The overall goal of the Tank Farm Vadose Zone Project, led by CH2M HILL Hanford Group, Inc., is to define risks from past and future single-shell tank farm activities at Hanford. To meet this goal, CH2M HILL Hanford Group, Inc. tasked scientists from Pacific Northwest National Laboratory to perform detailed analyses on vadose zone sediments from within Waste Management Area (WMA) T-TX-TY. This report is the first of two reports written to present the results of these analyses. Specifically, this report contains all the geologic, geochemical, and selected physical characterization data collected on vadose zone sediment recovered from boreholes C3830, C3831, and C3832 in the TX Tank Farm, and from borehole 299-W-10-27 installed northeast of the TY Tank Farm.

  13. miR-182 targets CHL1 and controls tumor growth and invasion in papillary thyroid carcinoma

    SciTech Connect (OSTI)

    Zhu, Hongling; Fang, Jin; Zhang, Jichen; Zhao, Zefei; Liu, Lianyong; Wang, Jingnan; Xi, Qian; Gu, Mingjun

    2014-07-18

    Highlights: miR-182 and CHL1 expression patterns are negatively correlated. CHL1 is a direct target of miR-182 in PTC cells. miR-182 suppression inhibits PTC cell growth and invasion. CHL1 is involved in miR-182-mediated cell behavior. - Abstract: In this study, we investigated the role and underlying mechanism of action of miR-182 in papillary thyroid carcinoma (PTC). Bioinformatics analysis revealed close homolog of LI (CHL1) as a potential target of miR-182. Upregulation of miR-182 was significantly correlated with CHL1 downregulation in human PTC tissues and cell lines. miR-182 suppressed the expression of CHL1 mRNA through direct targeting of the 3?-untranslated region (3?-UTR). Downregulation of miR-182 suppressed growth and invasion of PTC cells. Silencing of CHL1 counteracted the effects of miR-182 suppression, while its overexpression mimicked these effects. Our data collectively indicate that miR-182 in PTC promotes cell proliferation and invasion through direct suppression of CHL1, supporting the potential utility of miR-182 inhibition as a novel therapeutic strategy against PTC.

  14. Non-canonical microRNAs miR-320 and miR-702 promote proliferation in Dgcr8-deficient embryonic stem cells

    SciTech Connect (OSTI)

    Kim, Byeong-Moo; Choi, Michael Y.

    2012-09-21

    Highlights: Black-Right-Pointing-Pointer Embryonic stem cells (ESCs) lacking non-canonical miRNAs proliferate slower. Black-Right-Pointing-Pointer miR-320 and miR-702 are two non-canonical miRNAs expressed in ESCs. Black-Right-Pointing-Pointer miR-320 and miR-702 promote proliferation of Dgcr8-deficient ESCs. Black-Right-Pointing-Pointer miR-320 targets p57 and helps to release Dgcr8-deficient ESCs from G1 arrest. Black-Right-Pointing-Pointer miR-702 targets p21 and helps to release Dgcr8-deficient ESCs from G1 arrest. -- Abstract: MicroRNAs are known to contribute significantly to stem cell phenotype by post-transcriptionally regulating gene expression. Most of our knowledge of microRNAs comes from the study of canonical microRNAs that require two sequential cleavages by the Drosha/Dgcr8 heterodimer and Dicer to generate mature products. In contrast, non-canonical microRNAs bypass the cleavage by the Drosha/Dgcr8 heterodimer within the nucleus but still require cytoplasmic cleavage by Dicer. The function of non-canonical microRNAs in embryonic stem cells (ESCs) remains obscure. It has been hypothesized that non-canonical microRNAs have important roles in ESCs based upon the phenotypes of ESC lines that lack these specific classes of microRNAs; Dicer-deficient ESCs lacking both canonical and non-canonical microRNAs have much more severe proliferation defect than Dgcr8-deficient ESCs lacking only canonical microRNAs. Using these cell lines, we identified two non-canonical microRNAs, miR-320 and miR-702, that promote proliferation of Dgcr8-deficient ESCs by releasing them from G1 arrest. This is accomplished by targeting the 3 Prime -untranslated regions of the cell cycle inhibitors p57 and p21 and thereby inhibiting their expression. This is the first report of the crucial role of non-canonical microRNAs in ESCs.

  15. NuMI proton kicker extraction magnet termination resistor system

    SciTech Connect (OSTI)

    Reeves, S.R.; Jensen, C.C.; /Fermilab

    2005-05-01

    The temperature stability of the kicker magnet termination resistor assembly directly affects the field flatness and amplitude stability. Comprehensive thermal enhancements were made to the existing Main Injector resistor assembly design to satisfy NuMI performance specifications. Additionally, a fluid-processing system utilizing Fluorinert{reg_sign} FC-77 high-voltage dielectric was built to precisely control the setpoint temperature of the resistor assembly from 70 to 120F, required to maintain constant resistance during changing operational modes. The Fluorinert{reg_sign} must be continually processed to remove hazardous breakdown products caused by radiation exposure to prevent chemical attack of system components. Design details of the termination resistor assembly and Fluorinert{reg_sign} processing system are described. Early performance results will be presented.

  16. miR-128 and its target genes in tumorigenesis and metastasis

    SciTech Connect (OSTI)

    Li, Molin, E-mail: molin_li@hotmail.com [Dalian Medical University, Dalian 116044 (China); Fu, Weiming [Center for Food Safety and Environmental Technology, Guangzhou Institute of Advanced Technology, Chinese Academy of Sciences, Guangzhou 511458 (China); Wo, Lulu; Shu, Xiaohong [Dalian Medical University, Dalian 116044 (China); Liu, Fang [The second affiliated hospital of Dalian Medical University, Dalian 116023 (China); Li, Chuangang, E-mail: li_chuangang@sina.com [The second affiliated hospital of Dalian Medical University, Dalian 116023 (China)

    2013-12-10

    MicroRNAs (miRNAs) are a class of endogenous, non-coding, 1824 nucleotide length single-strand RNAs that could modulate gene expression at post-transcriptional level. Previous studies have shown that miR-128 enriched in the brain plays an important role in the development of nervous system and the maintenance of normal physical functions. Aberrant expression of miR-128 has been detected in many types of human tumors and its validated target genes are involved in cancer-related biological processes such as cell proliferation, differentiation and apoptosis. In this review, we will summarize the roles of miR-128 and its target genes in tumorigenesis and metastasis. - Highlights: Aberrant expression of miR-128 can be observed in many kinds of malignant tumors. The molecular mechanisms regulating miR-128 expression are elucidated. Roles of miR-128 and its target genes in tumorigenesis and metastasis are summarized.

  17. DOE Zero Energy Ready Home Case Study: Cobblestone Homes, Midland, MI |

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

    Department of Energy Cobblestone Homes, Midland, MI DOE Zero Energy Ready Home Case Study: Cobblestone Homes, Midland, MI Case study of a DOE Zero Energy Ready home in Midland, MI, that scored HERS 49 without PV or HERS 44 with 1.4 kW of PV. The custom home served as a prototype and energy efficiency demonstration model while performance testing was conducted. The 2-story, 2,745-ft2 home has 2.5 inches of closed-cell spray foam in the 2x4 wall cavities, plus 1-inch of rigid exterior foam; a

  18. File:USDA-CE-Production-GIFmaps-MI.pdf | Open Energy Information

    Open Energy Info (EERE)

    MI.pdf Jump to: navigation, search File File history File usage Michigan Ethanol Plant Locations Size of this preview: 463 599 pixels. Other resolution: 464 600 pixels. Full...

  19. Climate Action Champions: Sault Ste. Marie Tribe of Chippewa Indians, MI |

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

    Department of Energy Sault Ste. Marie Tribe of Chippewa Indians, MI Climate Action Champions: Sault Ste. Marie Tribe of Chippewa Indians, MI The Sault Ste. Marie Tribe of Chippewa Indians is a 44,000-strong federally recognized Indian tribe that is an economic, social and cultural force in its community across the eastern Upper Peninsula counties of Chippewa, Luce, Mackinac, Schoolcraft, Alger, Delta and Marquette, with housing and tribal centers, casinos, and other enterprises that employ

  20. miR-196a targets netrin 4 and regulates cell proliferation and migration of cervical cancer cells

    SciTech Connect (OSTI)

    Zhang, Jie; Zheng, Fangxia; Yu, Gang; Yin, Yanhua; Lu, Qingyang

    2013-11-01

    Highlights: miR-196a was overexpressed in cervical cancer tissue compared to normal tissue. miR-196a expression elevated proliferation and migration of cervical cancer cells. miR-196a inhibited NTN4 expression by binding 3?-UTR region of NTN4 mRNA. NTN4 inversely correlated with miR-196a expression in cervical tissue and cell line. NTN4 expression was low in cervical cancer tissue compared to normal tissue. -- Abstract: Recent research has uncovered tumor-suppressive and oncogenic potential of miR-196a in various tumors. However, the expression and mechanism of its function in cervical cancer remains unclear. In this study, we assess relative expression of miR-196a in cervical premalignant lesions, cervical cancer tissues, and four cancer cell lines using quantitative real-time PCR. CaSki and HeLa cells were treated with miR-196a inhibitors, mimics, or pCDNA/miR-196a to investigate the role of miR-196a in cancer cell proliferation and migration. We demonstrated that miR-196a was overexpressed in cervical intraepithelial neoplasia 23 and cervical cancer tissue. Moreover, its expression contributes to the proliferation and migration of cervical cancer cells, whereas inhibiting its expression led to a reduction in proliferation and migration. Five candidate targets of miR-196a chosen by computational prediction and Cervical Cancer Gene Database search were measured for their mRNA in both miR-196a-overexpressing and -depleted cancer cells. Only netrin 4 (NTN4) expression displayed an inverse association with miR-196a. Fluorescent reporter assays revealed that miR-196a inhibited NTN4 expression by targeting one binding site in the 3?-untranslated region (3?-UTR) of NTN4 mRNA. Furthermore, qPCR and Western blot assays verified NTN4 expression was downregulated in cervical cancer tissues compared to normal controls, and in vivo mRNA level of NTN4 inversely correlated with miR-196a expression. In summary, our findings provide new insights about the functional role of miR-196a in cervical carcinogenesis and suggested a potential use of miR-196a for clinical diagnosis and as a therapeutic target.

  1. miR-214 promotes the proliferation and invasion of osteosarcoma cells through direct suppression of LZTS1

    SciTech Connect (OSTI)

    Xu, Zhengyu; Wang, Tao

    2014-06-27

    Highlights: • miR-214 is upregulated in human OS tissues and inversely correlated with LZTS1 expression. • miR-214 directly targets LZTS1 by binding to its 3′-UTR. • miR-214 promotes OS cell proliferation, invasion and tumor growth. • Overexpression of LZTS1 reverses miR-214-induced proliferation and invasion of OS cells. - Abstract: Previous studies have shown that miR-214 functions either as an oncogene or a tumor suppressor in various human cancer types. The role of this microRNA in osteosarcoma (OS) is presently unclear. Here, we demonstrated that miR-214 is frequently upregulated in OS specimens, compared with noncancerous bone tissues. Bioinformatics analysis further revealed leucine zipper, putative tumor suppressor 1 (LZTS1) as a potential target of miR-214. Expression patterns of miR-214 were inversely correlated with those of LZTS1 mRNA and protein in OS tissues. Data from reporter assays showed that miR-214 directly binds to the 3′-untranslated region (3′-UTR) of LZTS1 mRNA and suppresses expression at both transcriptional and translational levels. In functional assays, miR-214 promoted OS cell proliferation, invasion and tumor growth in nude mice, which could be reversed by overexpression of LZTS1. Taken together, our data provide compelling evidence that miR-214 functions as an onco-miRNA in OS, and its oncogenic effects are mediated chiefly through downregulation of LZTS1.

  2. miR-421 induces cell proliferation and apoptosis resistance in human nasopharyngeal carcinoma via downregulation of FOXO4

    SciTech Connect (OSTI)

    Chen, Liang; Department of Otolaryngology, Guangzhou General Hospital of PLA Guangzhou Command, Guangzhou 510010 ; Tang, Yanping; Wang, Jian; Yan, Zhongjie; Xu, Ruxiang

    2013-06-14

    Highlights: •miR-421 is upregulated in nasopharyngeal carcinoma. •miR-421 induces cell proliferation and apoptosis resistance. •FOXO4 is a direct and functional target of miR-421. -- Abstract: microRNAs have been demonstrated to play important roles in cancer development and progression. Hence, identifying functional microRNAs and better understanding of the underlying molecular mechanisms would provide new clues for the development of targeted cancer therapies. Herein, we reported that a microRNA, miR-421 played an oncogenic role in nasopharyngeal carcinoma. Upregulation of miR-421 induced, whereas inhibition of miR-421 repressed cell proliferation and apoptosis resistance. Furthermore, we found that upregulation of miR-421 inhibited forkhead box protein O4 (FOXO4) signaling pathway following downregulation of p21, p27, Bim and FASL expression by directly targeting FOXO4 3′UTR. Additionally, we demonstrated that FOXO4 expression is critical for miR-421-induced cell growth and apoptosis resistance. Taken together, our findings not only suggest that miR-421 promotes nasopharyngeal carcinoma cell proliferation and anti-apoptosis, but also uncover a novel regulatory mechanism for inactivation of FOXO4 in nasopharyngeal carcinoma.

  3. Roles of miRNAs in microcystin-LR-induced Sertoli cell toxicity

    SciTech Connect (OSTI)

    Zhou, Yuan; Wang, Hui; Wang, Cong; Qiu, Xuefeng; Benson, Mikael; Yin, Xiaoqin; Xiang, Zou; Li, Dongmei; and others

    2015-08-15

    Microcystin (MC)-LR, a cyclic heptapeptide, is a potent reproductive system toxin. To understand the molecular mechanisms of MC-induced reproductive system cytotoxicity, we evaluated global changes of miRNA and mRNA expression in mouse Sertoli cells following MC-LR treatment. Our results revealed that the exposure to MC-LR resulted in an altered miRNA expression profile that might be responsible for the modulation of mRNA expression. Bio-functional analysis indicated that the altered genes were involved in specific cellular processes, including cell death and proliferation. Target gene analysis suggested that junction injury in Sertoli cells exposed to MC-LR might be mediated by miRNAs through the regulation of the Sertoli cell-Sertoli cell pathway. Collectively, these findings may enhance our understanding on the modes of action of MC-LR on mouse Sertoli cells as well as the molecular mechanisms underlying the toxicity of MC-LR on the male reproductive system. - Highlights: • miRNAs were altered in Sertoli cells exposed to MC-LR. • Alerted genes were involved in different cell functions including the cell morphology. • MC-LR adversely affected Sertoli cell junction formation through the regulating miRNAs.

  4. Ionizing Radiation–Inducible miR-27b Suppresses Leukemia Proliferation via Targeting Cyclin A2

    SciTech Connect (OSTI)

    Wang, Bo; Li, Dongping; Kovalchuk, Anna; Litvinov, Dmitry; Kovalchuk, Olga

    2014-09-01

    Purpose: Ionizing radiation is a common carcinogen that is important for the development of leukemia. However, the underlying epigenetic mechanisms remain largely unknown. The goal of the study was to explore microRNAome alterations induced by ionizing radiation (IR) in murine thymus, and to determine the role of IR-inducible microRNA (miRNA/miR) in the development of leukemia. Methods and Materials: We used the well-established C57BL/6 mouse model and miRNA microarray profiling to identify miRNAs that are differentially expressed in murine thymus in response to irradiation. TIB152 human leukemia cell line was used to determine the role of estrogen receptor–α (ERα) in miR-27b transcription. The biological effects of ectopic miR-27b on leukemogenesis were measured by western immunoblotting, cell viability, apoptosis, and cell cycle analyses. Results: Here, we have shown that IR triggers the differential expression of miR-27b in murine thymus tissue in a dose-, time- and sex-dependent manner. miR-27b was significantly down-regulated in leukemia cell lines CCL119 and TIB152. Interestingly, ERα was overexpressed in those 2 cell lines, and it was inversely correlated with miR-27b expression. Therefore, we used TIB152 as a model system to determine the role of ERα in miR-27b expression and the contribution of miR-27b to leukemogenesis. β-Estradiol caused a rapid and transient reduction in miR-27b expression reversed by either ERα-neutralizing antibody or ERK1/2 inhibitor. Ectopic expression of miR-27b remarkably suppressed TIB152 cell proliferation, at least in part, by inducing S-phase arrest. In addition, it attenuated the expression of cyclin A2, although it had no effect on the levels of PCNA, PPARγ, CDK2, p21, p27, p-p53, and cleaved caspase-3. Conclusion: Our data reveal that β-estradiol/ERα signaling may contribute to the down-regulation of miR-27b in acute leukemia cell lines through the ERK1/2 pathway, and that miR-27b may function as a tumor suppressor that inhibits cell proliferation by targeting cyclin A2.

  5. miR-208-3p promotes hepatocellular carcinoma cell proliferation and invasion through regulating ARID2 expression

    SciTech Connect (OSTI)

    Yu, Peng; Wu, Dingguo; You, Yu; Sun, Jing; Lu, Lele; Tan, Jiaxing; Bie, Ping

    2015-08-15

    MicroRNAs (miRNAs) are small non-coding RNAs that negatively regulate gene expression at post-transcriptional level. miRNA dysregulation plays a causal role in cancer progression. In this study, miR-208-3p was highly expressed and directly repressed ARID2 expression. As a result, ARID2 expression in hepatocellular carcinoma (HCC) was decreased. In vitro, miR-208-3p down-regulation and ARID2 over-expression elicited similar inhibitory effects on HCC cell proliferation and invasion. In vivo test results revealed that miR-208-3p down-regulation inhibited HCC tumorigenesis in Hep3B cells. Moreover, ARID2 was possibly a downstream element of transforming growth factor beta1 (TGFβ1)/miR-208-3p/ARID2 regulatory pathway. These findings suggested that miR-208-3p up-regulation is associated with HCC cell progression and may provide a new target for liver cancer treatment. - Highlights: • miR-208-3p was highly expressed and directly repressed the expression of ARID2 in HCC. • miR-208-3p contributed to HCC cell progression both in vitro and in vivo. • Over-expression of ARID2 inhibited the HCC cell proliferation and invasion. • Restoration of ARID2 partly reversed the the effect of miR-208-3p down-regulation on HCC cells. • Newly regulatory pathway: miR-208-3p mediated the repression of ARID2 by TGFβ1 in HCC cells.

  6. miR-339-5p inhibits alcohol-induced brain inflammation through regulating NF-κB pathway

    SciTech Connect (OSTI)

    Zhang, Yu; Wei, Guangkuan; Di, Zhiyong; Zhao, Qingjie

    2014-09-26

    Graphical abstract: - Highlights: • Alcohol upregulates miR-339-5p expression. • miR-339-5p inhibits the NF-kB pathway. • miR-339-5p interacts with and blocks activity of IKK-beat and IKK-epsilon. • miR-339-5p modulates IL-1β, IL-6 and TNF-α. - Abstract: Alcohol-induced neuroinflammation is mediated by the innate immunesystem. Pro-inflammatory responses to alcohol are modulated by miRNAs. The miRNA miR-339-5p has previously been found to be upregulated in alcohol-induced neuroinflammation. However, little has been elucidated on the regulatory functions of this miRNA in alcohol-induced neuroinflammation. We investigated the function of miR-339-5p in alcohol exposed brain tissue and isolated microglial cells using ex vivo and in vitro techniques. Our results show that alcohol induces transcription of miR 339-5p, IL-6, IL-1β and TNF-α in mouse brain tissue and isolated microglial cells by activating NF-κB. Alcohol activation of NF-κB allows for nuclear translocation of the NF-κB subunit p65 and expression of pro-inflammatory mediators. miR-339-5p inhibited expression of these pro-inflammatory factors through the NF-κB pathway by abolishing IKK-β and IKK-ε activity.

  7. Port Huron, MI Liquefied Natural Gas Exports to Canada (Million Cubic Feet)

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

    to Canada (Million Cubic Feet) Port Huron, MI Liquefied Natural Gas Exports to Canada (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1 2014 1 1 1 1 2 1 1 1 1 1 2015 1 1 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 04/29/2016 Next Release Date: 05/31/2016 Referring Pages: U.S. Liquefied Natural Gas Exports by Point of Exit Port Huron, MI Natural Gas Exports

  8. MicroRNAs expression in ox-LDL treated HUVECs: MiR-365 modulates apoptosis and Bcl-2 expression

    SciTech Connect (OSTI)

    Qin, Bing; Xiao, Bo; Liang, Desheng; Xia, Jian; Li, Ye; Yang, Huan

    2011-06-24

    Highlights: {yields} We evaluated the role of miRNAs in ox-LDL induced apoptosis in ECs. {yields} We found 4 up-regulated and 11 down-regulated miRNAs in apoptotic ECs. {yields} Target genes of the dysregulated miRNAs regulate ECs apoptosis and atherosclerosis. {yields} MiR-365 promotes ECs apoptosis via suppressing Bcl-2 expression. {yields} MiR-365 inhibitor alleviates ECs apoptosis induced by ox-LDL. -- Abstract: Endothelial cells (ECs) apoptosis induced by oxidized low-density lipoprotein (ox-LDL) is thought to play a critical role in atherosclerosis. MicroRNAs (miRNAs) are a class of noncoding RNAs that posttranscriptionally regulate the expression of genes involved in diverse cell functions, including differentiation, growth, proliferation, and apoptosis. However, whether miRNAs are associated with ox-LDL induced apoptosis and their effect on ECs is still unknown. Therefore, this study evaluated potential miRNAs and their involvement in ECs apoptosis in response to ox-LDL stimulation. Microarray and qRT-PCR analysis performed on human umbilical vein endothelial cells (HUVECs) exposed to ox-LDL identified 15 differentially expressed (4 up- and 11 down-regulated) miRNAs. Web-based query tools were utilized to predict the target genes of the differentially expressed miRNAs, and the potential target genes were classified into different function categories with the gene ontology (GO) term and KEGG pathway annotation. In particular, bioinformatics analysis suggested that anti-apoptotic protein B-cell CLL/lymphoma 2 (Bcl-2) is a target gene of miR-365, an apoptomir up-regulated by ox-LDL stimulation in HUVECs. We further showed that transfection of miR-365 inhibitor partly restored Bcl-2 expression at both mRNA and protein levels, leading to a reduction of ox-LDL-mediated apoptosis in HUVECs. Taken together, our findings indicate that miRNAs participate in ox-LDL-mediated apoptosis in HUVECs. MiR-365 potentiates ox-LDL-induced ECs apoptosis by regulating the expression of Bcl-2, suggesting potential novel therapeutic targets for atherosclerosis.

  9. MiRNA-125a-5p inhibits glioblastoma cell proliferation and promotes cell differentiation by targeting TAZ

    SciTech Connect (OSTI)

    Yuan, Jian; Xiao, Gelei; Peng, Gang; Liu, Dingyang; Wang, Zeyou; Liao, Yiwei; Liu, Qing; Wu, Minghua; Yuan, Xianrui

    2015-02-06

    Highlights: • Expression of miR-125a-5p is inversely correlated with that of TAZ in glioma cells. • MiR-125a-5p represses TAZ expression in glioma cells. • MiR-125a-5p directly targets the 3′ UTR of TAZ mRNA and promotes its degradation. • MiR-125a-5p represses CTGF and survivin via TAZ, and inhibits glioma cell growth. • MiR-125a-5p inhibits the stem cell features of HFU-251 MG cells. - Abstract: Glioblastoma (GBM) is the most lethal brain tumor due to the resistance to conventional therapies, such as radiotherapy and chemotherapy. TAZ, an important mediator of the Hippo pathway, was found to be up-regulated in diverse cancers, including in GBM, and plays important roles in tumor initiation and progression. However, little is known about the regulation of TAZ expression in tumors. In this study, we found that miR-125a-5p is an important regulator of TAZ in glioma cells by directly targeting the TAZ 3′ UTR. MiR-125a-5p levels are inversely correlated with that of TAZ in normal astrocytes and a panel of glioma cell lines. MiR-125a-5p represses the expression of TAZ target genes, including CTGF and survivin, and inhibits cell proliferation and induces the differentiation of GBM cells; whereas over-expression of TAZ rescues the effects of miR-125a-5p. This study revealed a mechanism for TAZ deregulation in glioma cells, and also demonstrated a tumor suppressor role of miR-125a-5p in glioblastoma cells.

  10. DOE Zero Energy Ready Home Case Study: Cobblestone Homes, Midland, MI

    Broader source: Energy.gov [DOE]

    Case study of a DOE Zero Energy Ready home in Midland, MI, that scored HERS 49 without PV or HERS 44 with 1.4 kW of PV. The custom home served as a prototype and energy efficiency demonstration...

  11. MiR-18a regulates the proliferation, migration and invasion of human glioblastoma cell by targeting neogenin

    SciTech Connect (OSTI)

    Song, Yichen; Wang, Ping; Zhao, Wei; Yao, Yilong; Liu, Xiaobai; Ma, Jun; Xue, Yixue; Liu, Yunhui

    2014-05-15

    MiR-17-92 cluster has recently been reported as an oncogene in some tumors. However, the association of miR-18a, an important member of this cluster, with glioblastoma remains unknown. Therefore, this study aims to investigate the expression of miR-18a in glioblastoma and its role in biological behavior of U87 and U251 human glioblastoma cell lines. Quantitative RT-PCR results showed that miR-18a was highly expressed in glioblastoma tissues and U87 and U251 cell lines compared with that in human brain tissues and primary normal human astrocytes, and the expression levels were increased along with the rising pathological grades of glioblastoma. Neogenin was identified as the target gene of miR-18a by dual-luciferase reporter assays. RT-PCR and western blot results showed that its expression levels were decreased along with the rising pathological grades of glioblastoma. Inhibition of miR-18a expression was established by transfecting exogenous miR-18a inhibitor into U87 and U251 cells, and its effects on the biological behavior of glioblastoma cells were studied using CCK-8 assay, transwell assay and flow cytometry. Inhibition of miR-18a expression in U87 and U251 cells significantly up-regulated neogenin, and dramatically suppressed the abilities of cell proliferation, migration and invasion, induced cell cycle arrest and promoted cellular apoptosis. Collectively, these results suggest that miR-18a may regulate biological behavior of human glioblastoma cells by targeting neogenin, and miR-18a can serve as a potential target in the treatment of glioblastoma. - Highlights: • MiR-18a was highly expressed in glioblastoma tissues and U87 and U251 cell lines. • Neogenin was identified as the target gene of miR-18a. • Neogenin expressions were decreased along with the rising pathological grades of glioblastoma. • Inhibition of miR-18a suppressed biological behavior of glioma cells by up-regulating neogenin.

  12. miR-7 and miR-218 epigenetically control tumor suppressor genes RASSF1A and Claudin-6 by targeting HoxB3 in breast cancer

    SciTech Connect (OSTI)

    Li, Qiaoyan; Zhu, Fufan; Chen, Puxiang

    2012-07-20

    Highlights: Black-Right-Pointing-Pointer Both miR-7 and miR-218 down-regulates HoxB3 expression by targeting the 3 Prime -UTR of HoxB3 mRNA. Black-Right-Pointing-Pointer A reverse correlation between the levels of endogenous miR-7, miR218 and HoxB3 expression. Black-Right-Pointing-Pointer Epigenetic changes involve in the reactivation of HoxB3. Black-Right-Pointing-Pointer Both miRNAs inhibits the cell cycle and clone formation of breast cancer cells. -- Abstract: Many microRNAs have been implicated as key regulators of cellular growth and differentiation and have been found to dysregulate proliferation in human tumors, including breast cancer. Cancer-linked microRNAs also alter the epigenetic landscape by way of DNA methylation and post-translational modifications of histones. Aberrations in Hox gene expression are important for oncogene or tumor suppressor during abnormal development and malignancy. Although recent studies suggest that HoxB3 is critical in breast cancer, the putative role(s) of microRNAs impinging on HoxB3 is not yet fully understood. In this study, we found that the expression levels of miR-7 and miR-218 were strongly and reversely associated with HoxB3 expression. Stable overexpression of miR-7 and miR-218 was accompanied by reactivation of tumor suppressor genes including RASSF1A and Claudin-6 by means of epigenetic switches in DNA methylation and histone modification, giving rise to inhibition of the cell cycle and clone formation of breast cancer cells. The current study provides a novel link between overexpression of collinear Hox genes and multiple microRNAs in human breast malignancy.

  13. Loss of expression of miR-335 is implicated in hepatic stellate cell migration and activation

    SciTech Connect (OSTI)

    Chen, Chao; Wu, Chao-Qun; Zhang, Zong-Qi; Yao, Ding-Kang; Zhu, Liang

    2011-07-15

    Activation and migration of resident stellate cells (HSCs) within the hepatic space of Disse play an important role in hepatic fibrosis, which accounts for the increased numbers of activated HSCs in areas of inflammation during hepatic fibrosis. Currently, microRNAs have been found to play essential roles in HSC differentiation, proliferation, apoptosis, fat accumulation and collagen production. However, little is known about microRNA mediated HSC activation and migration. In this study, the miRNA expression profiles of quiescent HSCs, partially activated HSCs and fully activated HSCs were compared in pairs. Gene ontology (GO) and GO-Map network analysis indicated that the activation of HSCs was regulated by microRNAs. Among them miR-335 was confirmed to be significantly reduced during HSC activation by qRT-PCR, and restoring expression of miR-335 inhibited HSC migration and reduced {alpha}-SMA and collagen type I. Previous study revealed that tenascin-C (TNC), an extracellular matrix glycoprotein involved in cell migration, might be a target of miR-335. Therefore, we further studied the TNC expression in miR-335 over-expressed HSCs. Our data showed that exogenous TNC could enhance HSC migration in vitro and miR-335 restoration resulted in a significant inhibition of TNC expression. These results demonstrated that miR-335 restoration inhibited HSC migration, at least in part, via downregulating the TNC expression.

  14. UCRL-MI-224010 ARM-06-012 ARM's Support for GCM Improvement: A White Paper

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

    MI-224010 ARM-06-012 ARM's Support for GCM Improvement: A White Paper Stephen A. Klein, Anthony Del Genio August 25, 2006 Disclaimer This document was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor the University of California nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information,

  15. Material Activation Benchmark Experiments at the NuMI Hadron Absorber Hall in Fermilab

    SciTech Connect (OSTI)

    Matsumura, H.; Matsuda, N.; Kasugai, Y.; Toyoda, A.; Yashima, H.; Sekimoto, S.; Iwase, H.; Oishi, K.; Sakamoto, Y.; Nakashima, H.; Leveling, A.; Boehnlein, D.; Lauten, G.; Mokhov, N.; Vaziri, K.

    2014-06-15

    In our previous study, double and mirror symmetric activation peaks found for Al and Au arranged spatially on the back of the Hadron absorber of the NuMI beamline in Fermilab were considerably higher than those expected purely from muon-induced reactions. From material activation bench-mark experiments, we conclude that this activation is due to hadrons with energy greater than 3 GeV that had passed downstream through small gaps in the hadron absorber.

  16. Detroit, MI Natural Gas Pipeline Imports From Canada (Million Cubic Feet)

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 8 11 2013 16 140 24 10 2014 188 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S. Natural Gas Pipeline Imports by Point of Entry Detroit, MI Natural Gas Exports to

  17. ~tx22C0.ptx

    Energy Savers [EERE]

    + + + + + STUDYING THE COMMUNICATIONS REQUIREMENTS OF ELECTRIC UTILITIES TO INFORM FEDERAL SMART GRID POLICIES + + + + + PUBLIC MEETING + + + + + THURSDAY, JUNE 17, 2010 + + + + + The Public Meeting was held in Room 8E069 at the Department of Energy, Forrestal Building, 1000 Independence Avenue, S.W., Washington, D.C., at 10:00 a.m., Scott Blake Harris, Chair, presiding. PRESENT: BECKY BLALOCK SHERMAN J. ELLIOTT LYNNE ELLYN SCOTT BLAKE HARRIS JIM INGRAHAM JIM L. JONES MICHAEL LANMAN KYLE

  18. ~txF74.ptx

    Energy Savers [EERE]

    WEDNESDAY OCTOBER 19, 2011 + + + + + The Electricity Advisory Committee met in the Conference Center of the National Rural Electric Cooperative Association Headquarters, 4301 Wilson Boulevard, Arlington, Virginia, at 2:00 p.m., Richard Cowart, Chair, presiding. MEMBERS PRESENT RICHARD COWART, Regulatory Assistance Project, Chair THE HONORABLE ROBERT CURRY, New York State Public Service Commission JOSE DELGADO, American Transmission Company (Ret.) ROGER DUNCAN, Austin Energy (Ret.) ROBERT

  19. US WSC TX Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in Texas A ...

  20. About ZERH Sessions: Austin, TX

    Broader source: Energy.gov [DOE]

    10:00 a.m. - 12:30 p.m. An Overview: What is it, and how do I participate?This session discusses the critical components that define a truly zero energy ready home (ZERH), how builders are able to...

  1. miR-21 modulates tumor outgrowth induced by human adipose tissue-derived mesenchymal stem cells in vivo

    SciTech Connect (OSTI)

    Shin, Keun Koo; Lee, Ae Lim; Kim, Jee Young; Medical Research Center for Ischemic Tissue Engineering, Pusan National University, Yangsan, Gyeongnam 626-870; BK21 Medical Science Education Center, School of Medicine, Pusan National University, Yangsan, Gyeongnam 626-870 ; Lee, Sun Young; Medical Research Center for Ischemic Tissue Engineering, Pusan National University, Yangsan, Gyeongnam 626-870 ; Bae, Yong Chan; Jung, Jin Sup

    2012-06-15

    Highlights: Black-Right-Pointing-Pointer miR-21 modulates hADSC-induced increase of tumor growth. Black-Right-Pointing-Pointer The action is mostly mediated by the modulation of TGF-{beta} signaling. Black-Right-Pointing-Pointer Inhibition of miR-21 enhances the blood flow recovery in hindlimb ischemia. -- Abstract: Mesenchymal stem cells (MSCs) have generated a great deal of interest in clinical situations, due principally to their potential use in regenerative medicine and tissue engineering applications. However, the therapeutic application of MSCs remains limited, unless the favorable effects of MSCs on tumor growth in vivo, and the long-term safety of the clinical applications of MSCs, can be more thoroughly understood. In this study, we determined whether microRNAs can modulate MSC-induced tumor outgrowth in BALB/c nude mice. Overexpression of miR-21 in human adipose-derived stem cells (hADSCs) inhibited hADSC-induced tumor growth, and inhibition of miR-21 increased it. Downregulation of transforming growth factor beta receptor II (TGFBR2), but not of signal transducer and activator of transcription 3, in hADSCs showed effects similar to those of miR-21 overexpression. Downregulation of TGFBR2 and overexpression of miR21 decreased tumor vascularity. Inhibition of miR-21 and the addition of TGF-{beta} increased the levels of vascular endothelial growth factor and interleukin-6 in hADSCs. Transplantation of miR-21 inhibitor-transfected hADSCs increased blood flow recovery in a hind limb ischemia model of nude mice, compared with transplantation of control oligo-transfected cells. These findings indicate that MSCs might favor tumor growth in vivo. Thus, it is necessary to study the long-term safety of this technique before MSCs can be used as therapeutic tools in regenerative medicine and tissue engineering.

  2. Targeting miR-21 enhances the sensitivity of human colon cancer HT-29 cells to chemoradiotherapy in vitro

    SciTech Connect (OSTI)

    Deng, Jun; Lei, Wan; Fu, Jian-Chun; Zhang, Ling; Li, Jun-He; Xiong, Jian-Ping

    2014-01-17

    Highlight: MiR-21 plays a significant role in 5-FU resistance. This role might be attributed to targeting of hMSH2 as well as TP and DPD via miR-21 targeted hMSH2. Indirectly targeted TP and DPD to influence 5-FU chemotherapy sensitivity. -- Abstract: 5-Fluorouracil (5-FU) is a classic chemotherapeutic drug that has been widely used for colorectal cancer treatment, but colorectal cancer cells are often resistant to primary or acquired 5-FU therapy. Several studies have shown that miR-21 is significantly elevated in colorectal cancer. This suggests that this miRNA might play a role in this resistance. In this study, we investigated this possibility and the possible mechanism underlying this role. We showed that forced expression of miR-21 significantly inhibited apoptosis, enhanced cell proliferation, invasion, and colony formation ability, promoted G1/S cell cycle transition and increased the resistance of tumor cells to 5-FU and X radiation in HT-29 colon cancer cells. Furthermore, knockdown of miR-21 reversed these effects on HT-29 cells and increased the sensitivity of HT-29/5-FU to 5-FU chemotherapy. Finally, we showed that miR-21 targeted the human mutS homolog2 (hMSH2), and indirectly regulated the expression of thymidine phosphorylase (TP) and dihydropyrimidine dehydrogenase (DPD). These results demonstrate that miR-21 may play an important role in the 5-FU resistance of colon cancer cells.

  3. "Title","Creator/Author","Publication Date","OSTI Identifier...

    Office of Scientific and Technical Information (OSTI)

    of Michigan, Ann Arbor, MI (United States); Mackin, D; Beddar, S MD Anderson Cancer Center, Houston, TX (United States); Zheng, Y Procure Proton Therapy Center,...

  4. SU-E-J-121: Measuring Prompt Gamma Emission Profiles with a Multi...

    Office of Scientific and Technical Information (OSTI)

    of Michigan, Ann Arbor, MI (United States); Mackin, D; Beddar, S MD Anderson Cancer Center, Houston, TX (United States); Zheng, Y Procure Proton Therapy Center,...

  5. miR-502 inhibits cell proliferation and tumor growth in hepatocellular carcinoma through suppressing phosphoinositide 3-kinase catalytic subunit gamma

    SciTech Connect (OSTI)

    Chen, Suling; Li, Fang; Chai, Haiyun; Tao, Xin; Wang, Haili; Ji, Aifang

    2015-08-21

    MicroRNAs (miRNAs) play a key role in carcinogenesis and tumor progression in hepatocellular carcinoma (HCC). In the present study, we demonstrated that miR-502 significantly inhibits HCC cell proliferation in vitro and tumor growth in vivo. G1/S cell cycle arrest and apoptosis of HCC cells were induced by miR-502. Phosphoinositide 3-kinase catalytic subunit gamma (PIK3CG) was identified as a direct downstream target of miR-502 in HCC cells. Notably, overexpression of PIK3CG reversed the inhibitory effects of miR-502 in HCC cells. Our findings suggest that miR-502 functions as a tumor suppressor in HCC via inhibition of PI3KCG, supporting its utility as a promising therapeutic gene target for this tumor type. - Highlights: • miR-502 suppresses HCC cell proliferation in vitro and tumorigenicity in vivo. • miR-502 regulates cell cycle and apoptosis in HCC cells. • PIK3CG is a direct target of miR-502. • miR-502 and PIK3CG expression patterns are inversely correlated in HCC tissues.

  6. MiR-145 is downregulated in human ovarian cancer and modulates cell growth and invasion by targeting p70S6K1 and MUC1

    SciTech Connect (OSTI)

    Wu, Huijuan; Xiao, ZhengHua; Wang, Ke; Liu, Wenxin; Hao, Quan

    2013-11-29

    Highlights: MiR-145 is downregulated in human ovarian cancer. MiR-145 targets p70S6K1 and MUC1. p70S6K1 and MUC1 are involved in miR-145 mediated tumor cell growth and cell invasion, respectively. -- Abstract: MicroRNAs (miRNAs) are a family of small non-coding RNA molecules that regulate gene expression at post-transcriptional levels. Previous studies have shown that miR-145 is downregulated in human ovarian cancer; however, the roles of miR-145 in ovarian cancer growth and invasion have not been fully demonstrated. In the present study, Northern blot and qRT-PCR analysis indicate that miR-145 is downregulated in ovarian cancer tissues and cell lines, as well as in serum samples of ovarian cancer, compared to healthy ovarian tissues, cell lines and serum samples. Functional studies suggest that miR-145 overexpression leads to the inhibition of colony formation, cell proliferation, cell growth viability and invasion, and the induction of cell apoptosis. In accordance with the effect of miR-145 on cell growth, miR-145 suppresses tumor growth in vivo. MiR-145 is found to negatively regulate P70S6K1 and MUC1 protein levels by directly targeting their 3?UTRs. Importantly, the overexpression of p70S6K1 and MUC1 can restore the cell colony formation and invasion abilities that are reduced by miR-145, respectively. MiR-145 expression is increased after 5-aza-CdR treatment, and 5-aza-CdR treatment results in the same phenotype as the effect of miR-145 overexpression. Our study suggests that miR-145 modulates ovarian cancer growth and invasion by suppressing p70S6K1 and MUC1, functioning as a tumor suppressor. Moreover, our data imply that miR-145 has potential as a miRNA-based therapeutic target for ovarian cancer.

  7. Detroit, MI Natural Gas Pipeline Imports From Canada (Million Cubic Feet)

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 14,901 11,501 10,925 7,671 2000's 6,171 405 1,948 2,514 1,117 0 0 81 753 21 2010's 79 19 0 165 188 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S. Natural Gas Pipeline Imports by Point of Entry Detroit, MI Natural Gas Imports by Pipeline from

  8. Testing CPT conservation using the NuMI neutrino beam with the MINOS experiment

    SciTech Connect (OSTI)

    Auty, David John

    2010-05-01

    The MINOS experiment was designed to measure neutrino oscillation parameters with muon neutrinos. It achieves this by measuring the neutrino energy spectrum and flavor composition of the man-made NuMI neutrino beam 1km after the beam is formed and again after 735 km. By comparing the two spectra it is possible to measure the oscillation parameters. The NuMI beam is made up of 7.0% {bar {nu}}{sub {mu}}, which can be separated from the {nu}{sub {mu}} because the MINOS detectors are magnetized. This makes it possible to study {bar {nu}}{sub {mu}} oscillations separately from those of muon neutrinos, and thereby test CPT invariance in the neutrino sector by determining the {bar {nu}}{sub {mu}} oscillation parameters and comparing them with those for {nu}{sub {mu}}, although any unknown physics of the antineutrino would appear as a difference in oscillation parameters. Such a test has not been performed with beam {bar {nu}}{sub {mu}} before. It is also possible to produce an almost pure {bar {nu}}{sub {mu}} beam by reversing the current through the magnetic focusing horns of the NuMI beamline, thereby focusing negatively, instead of positively charged particles. This thesis describes the analysis of the 7% {bar {nu}}{sub {mu}} component of the forward horn current NuMI beam. The {bar {nu}}{sub {mu}} of a data sample of 3.2 x 10{sup 20} protons on target analysis found 42 events, compared to a CPT conserving prediction of 58.3{sub -7.6}{sup +7.6}(stat.){sub -3.6}{sup +3.6}(syst.) events. This corresponds to a 1.9 {sigma} deficit, and a best fit value of {Delta}{bar m}{sub 32}{sup 2} = 18 x 10{sup -3} eV{sup 2} and sin{sup 2} 2{bar {theta}}{sub 23} = 0.55. This thesis focuses particularly on the selection of {bar {nu}}{sub {mu}} events, and investigates possible improvements of the selection algorithm. From this a different selector was chosen, which corroborated the findings of the original selector. The thesis also investigates how the systematic errors affect the precision of {Delta}{bar m}{sub 32}{sup 2} and sin{sup 2} 2{bar {theta}}{sub 23}. Furthermore, it describes a study to determine the gains of the PMTs via the single-photoelectron spectrum. The results were used as a crosscheck of the gains determined at higher intensities by an LED-based light-injection system.

  9. U.S. Natural Gas Exports to Canada

    Gasoline and Diesel Fuel Update (EIA)

    Total To Brazil Freeport, TX Sabine Pass, LA Total to Canada Eastport, ID Calais, ME Detroit, MI Marysville, MI Port Huron, MI Crosby, ND Portal, ND Sault St. Marie, MI St. Clair, MI Noyes, MN Warroad, MN Babb, MT Havre, MT Port of Morgan, MT Sherwood, ND Pittsburg, NH Buffalo, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to Egypt Freeport, TX Total to India Freeport, TX

  10. U.S. Natural Gas Exports to Mexico

    Gasoline and Diesel Fuel Update (EIA)

    Miami, FL Total To Brazil Freeport, TX Sabine Pass, LA Total to Canada Eastport, ID Calais, ME Detroit, MI Marysville, MI Port Huron, MI Crosby, ND Portal, ND Sault St. Marie, MI St. Clair, MI Noyes, MN Babb, MT Havre, MT Port of Morgan, MT Sherwood, ND Pittsburg, NH Buffalo, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to Egypt Freeport, TX Total to India Freeport, TX

  11. U.S. Natural Gas Exports to Mexico

    Gasoline and Diesel Fuel Update (EIA)

    Total To Brazil Freeport, TX Sabine Pass, LA Total to Canada Eastport, ID Calais, ME Detroit, MI Marysville, MI Port Huron, MI Crosby, ND Portal, ND Sault St. Marie, MI St. Clair, MI Noyes, MN Warroad, MN Babb, MT Havre, MT Port of Morgan, MT Sherwood, ND Pittsburg, NH Buffalo, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to Egypt Freeport, TX Total to India Freeport, TX

  12. U.S. Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Miami, FL Total To Brazil Freeport, TX Sabine Pass, LA Total to Canada Eastport, ID Calais, ME Detroit, MI Marysville, MI Port Huron, MI Crosby, ND Portal, ND Sault St. Marie, MI St. Clair, MI Noyes, MN Babb, MT Havre, MT Port of Morgan, MT Sherwood, ND Pittsburg, NH Buffalo, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to Egypt Freeport, TX Total to India Freeport, TX

  13. miR-340 inhibits glioblastoma cell proliferation by suppressing CDK6, cyclin-D1 and cyclin-D2

    SciTech Connect (OSTI)

    Li, Xuesong; Gong, Xuhai; Chen, Jing; Zhang, Jinghui; Sun, Jiahang; Guo, Mian

    2015-05-08

    Glioblastoma development is often associated with alteration in the activity and expression of cell cycle regulators, such as cyclin-dependent kinases (CKDs) and cyclins, resulting in aberrant cell proliferation. Recent studies have highlighted the pivotal roles of miRNAs in controlling the development and growth of glioblastoma. Here, we provide evidence for a function of miR-340 in the inhibition of glioblastoma cell proliferation. We found that miR-340 is downregulated in human glioblastoma tissue samples and several established glioblastoma cell lines. Proliferation and neurosphere formation assays revealed that miR-340 plays an oncosuppressive role in glioblastoma, and that its ectopic expression causes significant defect in glioblastoma cell growth. Further, using bioinformatics, luciferase assay and western blot, we found that miR-340 specifically targets the 3′UTRs of CDK6, cyclin-D1 and cyclin-D2, leading to the arrest of glioblastoma cells in the G0/G1 cell cycle phase. Confirming these results, we found that re-introducing CDK6, cyclin-D1 or cyclin-D2 expression partially, but significantly, rescues cells from the suppression of cell proliferation and cell cycle arrest mediated by miR-340. Collectively, our results demonstrate that miR-340 plays a tumor-suppressive role in glioblastoma and may be useful as a diagnostic biomarker and/or a therapeutic avenue for glioblastoma. - Highlights: • miR-340 is downregulated in glioblastoma samples and cell lines. • miR-340 inhibits glioblastoma cell proliferation. • miR-340 directly targets CDK6, cyclin-D1, and cyclin-D2. • miR-340 regulates glioblastoma cell proliferation via CDK6, cyclin-D1 and cyclin-D2.

  14. Assessment of radiological releases from the NuMI facility during MINOS and NOvA operations

    SciTech Connect (OSTI)

    Martens, Mike; /Fermilab

    2007-04-01

    This report makes projections of the radiological releases from the NuMI facility during operations for the MINOS and NO ?A experiments. It includes an estimate of the radionuclide levels released into the atmosphere and the estimated tritium and sodium-22 concentrations in the NuMI sump water and Fermilab pond system. The analysis was performed for NuMI operations with a beam power on target increased from the present 400 kW design up to a possible 1500 kW with future upgrades. The total number of protons on target was assumed to be 18 x 10{sup 20} after the completion of MINOS and 78 x 10{sup 20} after the completion of NO ?A.

  15. miR-206 is down-regulated in breast cancer and inhibits cell proliferation through the up-regulation of cyclinD2

    SciTech Connect (OSTI)

    Zhou, Jing; Tian, Ye; Li, Juan; Lu, Binbin; Sun, Ming; Zou, Yanfen; Kong, Rong; Luo, Yanhong; Shi, Yongguo; Wang, Keming; Ji, Guozhong

    2013-04-05

    Highlights: ? miR-206 was downexpressed in tumor samples compared with matched normal samples. ? Enhanced expression of miR-206 could inhibit breast cancer growth in vitro. ? Luciferase confirmed miR-206 functions as an anti-oncogene by targeting cyclinD2. ? A reverse correlation between miR-206 and cyclinD2 in breast cancer was found. -- Abstract: MicroRNAs act as important gene regulators in human genomes, and their aberrant expression is linked to many malignancies. Aberrant expression of miR-206 has been frequently reported in cancer studies; however, the role and mechanism of its function in breast cancer remains unclear. Quantitative real-time PCR was performed to detect the relative expression levels of miR-206 in breast cancer and normal breast tissues. Lower expression of miR-206 in breast cancer tissues was associated with larger tumour size and a more advanced clinical stage. Further in vitro observations showed that the enforced expression of miR-206 in MCF-7 breast cancer cells inhibited cell growth by blocking the G1/S transition and suppressed cell proliferation and colony formation, implying that miR-206 functions as a tumour suppressor in the progression of breast cancer. Interestingly, Luciferase assays first revealed that miR-206 inhibited cyclinD2 expression by targeting two binding sites in the 3?-untranslated region of cyclinD2 mRNA. qRT-PCR and Western blot assays verified that miR-206 reduced cyclinD2 expression at both the mRNA and protein levels. A reverse correlation between miR-206 and cyclinD2 expression was noted in breast cancer tissues. Altogether, our results identify a crucial tumour suppressive role of miR-206 in the progression of breast cancer, at least partly via up-regulation of the expression of cyclinD2, and suggest that miR-206 might be a candidate prognostic predictor or an anticancer therapeutic target for breast cancer patients.

  16. Detroit, MI Natural Gas Pipeline Imports From Canada (Dollars per Thousand

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

    Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.75 2.51 2.43 2.51 2000's 3.82 9.34 3.56 5.96 6.27 -- -- 8.28 6.58 4.53 2010's 8.37 5.17 -- 4.44 5.26 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: U.S. Price of Natural Gas Pipeline Imports by Point of Entry Detroit, MI Natural Gas Imports by

  17. T-1025 IU SciBath-768 detector tests in MI-12

    SciTech Connect (OSTI)

    Tayloe, Rex; Cooper, R.; Garrison, L.; Thornton, T.; Rebenitsch, L.; DeJongh, Fritz; Loer, Benjamin; Ramberg, Erik; Yoo, Jonghee; /Fermilab

    2012-02-11

    This is a memorandum of understanding between the Fermi National Accelerator Laboratory (Fermilab) and the experimenters of Department of Physics and Center for Exploration of Energy and Matter, Indiana University, who have committed to participate in detector tests to be carried out during the 2012 Fermilab Neutrino program. The memorandum is intended solely for the purpose of recording expectations for budget estimates and work allocations for Fermilab, the funding agencies and the participating institutions. it reflects an arrangement that currently is satisfactory to the parties; however, it is recognized and anticipated that changing circumstances of the evolving research program will necessitate revisions. The parties agree to modify this memorandum to reflect such required adjustments. Actual contractual obligations will be set forth in separate documents. The experimenters propsoe to test their prototype 'SciBat-768' detector in the MI-12 building for 3 months (February-April) in Spring 2012. The major goal of this effort is to measure or limit the flux of beam-induced neutrons in a far-off-axis (> 45{sup o}) location of the Booster Neutrino Beamline (BNB). This flux is of interest for a proposed coherent neutral-current neutrino-argon elastic scattering experiment. A second goal is to collect more test data for the SciBath-768 to enable better understanding and calibration of the device. The SciBath-768 detector successfully ran for 3 months in the MINOS Underground Area in Fall 2011 as testbeam experiment T-1014 and is currently running above ground in the MINOS service building. For the run proposed here, the experiments are requesting: space in MI-12 in which to run the SciBath detector during February-April 2012 while the BNB is operating; technical support to help with moving the equipment on site; access to power, internet, and accelerator signals; and a small office space from which to run and monitor the experiment.

  18. Validation of the MCNPX-PoliMi Code to Design a Fast-Neutron Multiplicity Counter

    SciTech Connect (OSTI)

    J. L. Dolan; A. C. Kaplan; M. Flaska; S. A. Pozzi; D. L. Chichester

    2012-07-01

    Many safeguards measurement systems used at nuclear facilities, both domestically and internationally, rely on He-3 detectors and well established mathematical equations to interpret coincidence and multiplicity-type measurements for verifying quantities of special nuclear material. Due to resource shortages alternatives to these existing He-3 based systems are being sought. Work is also underway to broaden the capabilities of these types of measurement systems in order to improve current multiplicity analysis techniques. As a part of a Material Protection, Accounting, and Control Technology (MPACT) project within the U.S. Department of Energy's Fuel Cycle Technology Program we are designing a fast-neutron multiplicity counter with organic liquid scintillators to quantify important quantities such as plutonium mass. We are also examining the potential benefits of using fast-neutron detectors for multiplicity analysis of advanced fuels in comparison with He-3 detectors and testing the performance of such designs. The designs are being developed and optimized using the MCNPX-PoliMi transport code to study detector response. In the full paper, we will discuss validation measurements used to justify the use of the MCNPX-PoliMi code paired with the MPPost multiplicity routine to design a fast neutron multiplicity counter with liquid scintillators. This multiplicity counter will be designed with the end goal of safeguarding advanced nuclear fuels. With improved timing qualities associated with liquid scintillation detectors, we can design a system that is less limited by nuclear materials of high activities. Initial testing of the designed system with nuclear fuels will take place at Idaho National Laboratory in a later stage of this collaboration.

  19. U.S. Total Exports

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

    CA Otay Mesa, CA Alamo, TX Clint, TX Del Rio, TX Eagle Pass, TX El Paso, TX Freeport, TX Hidalgo, TX Laredo, TX McAllen, TX Penitas, TX Rio Bravo, TX Rio Grande, TX Roma, TX Total ...

  20. Analysis of the hydraulic data from the MI fracture zone at the Grimsel Rock Laboratory, Switzerland

    SciTech Connect (OSTI)

    Davey, A.; Karasaki, K.; Long, J.C.S.; Landsfeld, M.; Mensch, A.; Martel, S.J.

    1989-10-01

    One of the major problems in analyzing flow and transport in fractured rock is that the flow may be largely confined to a poorly connected network of fractures. In order to overcome some of this problem, Lawrence Berkeley Laboratory (LBL) has been developing a new type of fracture hydrology model called an equivalent discontinuum model. In this model the authors represent the discontinuous nature of the problem through flow on a partially filled lattice. A key component in constructing an equivalent discontinuum model from this lattice is removing some of the conductive elements such that the system is partially connected in the same manner as the fracture network. This is done through a statistical inverse technique called simulated annealing. The fracture network model is annealed by continually modifying a base model, or template such that the modified systems behave more and more like the observed system. In order to see how the simulated annealing algorithm works, the authors have developed a series of synthetic real cases. In these cases, the real system is completely known so that the results of annealing to steady state data can be evaluated absolutely. The effect of the starting configuration has been studied by varying the percent of conducting elements in the initial configuration. Results have shown that the final configurations converge to about the same percentage of conducting elements. An example using Nagra field data from the Migration Experiment (MI) at Grimsel Rock Laboratory in Switzerland is also analyzed. 24 refs., 33 figs., 3 tabs.

  1. Executive summary of major NuMI lessons learned: a review of relevant meetings of Fermilab's DUSEL Beamline Working Group

    SciTech Connect (OSTI)

    Andrews, Mike; Appel, Jeffrey A.; Bogert, Dixon; Childress, Sam; Cossairt, Don; Griffing, William; Grossman, Nancy; Harding, David; Hylen, Jim; Kuchler, Vic; Laughton, Chris; /Fermilab /Argonne /Brookhaven /LBL, Berkeley

    2009-05-01

    We have gained tremendous experience with the NuMI Project on what was a new level of neutrino beams from a high power proton source. We expect to build on that experience for any new long baseline neutrino beam. In particular, we have learned about some things which have worked well and/or where the experience is fairly directly applicable to the next project (e.g., similar civil construction issues including: tunneling, service buildings, outfitting, and potential claims/legal issues). Some things might be done very differently (e.g., decay pipe, windows, target, beam dump, and precision of power supply control/monitoring). The NuMI experience does lead to identification of critical items for any future such project, and what issues it will be important to address. The DUSEL Beamline Working Group established at Fermilab has been meeting weekly to collect and discuss information from that NuMI experience. This document attempts to assemble much of that information in one place. In this Executive Summary, we group relevant discussion of some of the major issues and lessons learned under seven categories: (1) Differences Between the NuMI Project and Any Next Project; (2) The Process of Starting Up the Project; (3) Decision and Review Processes; (4) ES&H: Environment, Safety, and Health; (5) Local Community Buy-In; (6) Transition from Project Status to Operation; and (7) Some Lessons on Technical Elements. We concentrate here on internal project management issues, including technical areas that require special attention. We cannot ignore, however, two major external management problems that plagued the NuMI project. The first problem was the top-down imposition of an unrealistic combination of scope, cost, and schedule. This situation was partially corrected by a rebaselining. However, the full, desirable scope was never achievable. The second problem was a crippling shortage of resources. Critical early design work could not be done in a timely fashion, leading to schedule delays, inefficiencies, and corrective actions. The Working Group discussions emphasized that early planning and up-front appreciation of the problems ahead are very important for minimizing the cost and for the greatest success of any such project. Perhaps part of the project approval process should re-enforce this need. The cost of all this up-front work is now reflected in the DOE cost of any project we do. If we are being held to an upper limit on the project cost, the only thing available for compromise is the eventual project scope.

  2. Mitsubishi iMiEV: An Electric Mini-Car in NREL's Advanced Technology Vehicle Fleet (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-10-01

    This fact sheet highlights the Mitsubishi iMiEV, an electric mini-car in the advanced technology vehicle fleet at the National Renewable Energy Laboratory (NREL). In support of the U.S. Department of Energy's fast-charging research efforts, NREL engineers are conducting charge and discharge performance testing on the vehicle. NREL's advanced technology vehicle fleet features promising technologies to increase efficiency and reduce emissions without sacrificing safety or comfort. The fleet serves as a technology showcase, helping visitors learn about innovative vehicles that are available today or are in development. Vehicles in the fleet are representative of current, advanced, prototype, and emerging technologies.

  3. TX, RRC District 1 Proved Nonproducing Reserves

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

    26 144 436 1,266 1,324 1,427 1996-2014 Lease Condensate (million bbls) 6 28 128 257 158 233 1998-2014 Total Gas (billion cu ft) 743 1,725 3,627 6,524 4,317 7,542 1996-2014 Nonassociated Gas (billion cu ft) 719 1,545 2,960 4,532 2,079 4,721 1996-2014 Associated Gas (billion cu ft) 24 180 667 1,992 2,238 2,821

  4. TX, RRC District 10 Proved Nonproducing Reserves

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

    9 35 51 70 70 46 1996-2014 Lease Condensate (million bbls) 27 55 54 59 41 68 1998-2014 Total Gas (billion cu ft) 2,325 3,353 2,954 2,906 2,062 2,744 1996-2014 Nonassociated Gas (billion cu ft) 2,162 3,138 2,633 2,579 1,728 2,486 1996-2014 Associated Gas (billion cu ft) 163 215 321 327 334 258

  5. TX, RRC District 5 Proved Nonproducing Reserves

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

    0 1 29 12 28 1996-2014 Lease Condensate (million bbls) 0 0 0 0 0 0 1998-2014 Total Gas (billion cu ft) 9,039 9,340 8,784 3,255 2,729 3,216 1996-2014 Nonassociated Gas (billion cu ft) 9,039 9,340 8,779 3,237 2,724 3,201 1996-2014 Associated Gas (billion cu ft) 0 0 5 18 5 15

  6. TX, RRC District 6 Proved Nonproducing Reserves

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

    2 11 16 32 18 40 1996-2014 Lease Condensate (million bbls) 21 34 25 39 27 42 1998-2014 Total Gas (billion cu ft) 5,690 7,090 6,712 4,849 4,273 4,458 1996-2014 Nonassociated Gas (billion cu ft) 5,671 6,977 6,596 4,643 4,087 4,373 1996-2014 Associated Gas (billion cu ft) 19 113 116 206 186 8

  7. TX, RRC District 8 Proved Nonproducing Reserves

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

    679 790 934 1,144 1,057 1,441 1996-2014 Lease Condensate (million bbls) 6 44 19 29 30 20 1998-2014 Total Gas (billion cu ft) 2,469 2,518 2,891 2,626 2,752 3,333 1996-2014 Nonassociated Gas (billion cu ft) 1,427 1,157 991 335 402 368 1996-2014 Associated Gas (billion cu ft) 1,042 1,361 1,900 2,291 2,350 2,965

  8. TX, RRC District 9 Proved Nonproducing Reserves

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

    5 21 20 32 20 39 1996-2014 Lease Condensate (million bbls) 8 8 12 8 10 4 1998-2014 Total Gas (billion cu ft) 4,168 4,274 2,974 2,824 2,455 2,133 1996-2014 Nonassociated Gas (billion cu ft) 3,935 4,043 2,724 2,452 2,236 1,763 1996-2014 Associated Gas (billion cu ft) 233 231 250 372 219 370

  9. TX, State Offshore Proved Nonproducing Reserves

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

    0 0 1 0 0 0 1996-2014 Lease Condensate (million bbls) 2 0 1 0 1 0 1998-2014 Total Gas (billion cu ft) 61 29 29 24 15 10 1996-2014 Nonassociated Gas (billion cu ft) 59 29 25 22 13 10 1996-2014 Associated Gas (billion cu ft) 2 0 4 2 2 0

  10. Roma, TX Natural Gas Exports to Mexico

    Gasoline and Diesel Fuel Update (EIA)

    36,813 65,794 133,769 138,340 154,471 168,049 1999-2015 Pipeline Prices 4.55 4.14 2.86 3.80 4.62 2.79

  11. ~txF7D.ptx

    Energy Savers [EERE]

    THURSDAY OCTOBER 20, 2011 + + + + + The Electricity Advisory Committee met, in the Conference Center of the National Rural Electric Cooperative Association Headquarters, 4301 Wilson Boulevard, Arlington, Virginia, at 8:00 a.m., Richard Cowart, Chair, presiding. MEMBERS PRESENT RICHARD COWART, Regulatory Assistance Project, Chair RICK BOWEN, Alcoa RALPH CAVANAGH, Natural Resources Defense Council THE HONORABLE ROBERT CURRY, New York State Public Service Commission JOSE DELGADO, American

  12. Micro-Grids for Colonias (TX)

    SciTech Connect (OSTI)

    Dean Schneider; Michael Martin; Renee Berry; Charles Moyer

    2012-07-31

    This report describes the results of the final implementation and testing of a hybrid micro-grid system designed for off-grid applications in underserved Colonias along the Texas/Mexico border. The project is a federally funded follow-on to a project funded by the Texas State Energy Conservation Office in 2007 that developed and demonstrated initial prototype hybrid generation systems consisting of a proprietary energy storage technology, high efficiency charging and inverting systems, photovoltaic cells, a wind turbine, and bio-diesel generators. This combination of technologies provided continuous power to dwellings that are not grid connected, with a significant savings in fuel by allowing power generation at highly efficient operating conditions. The objective of this project was to complete development of the prototype systems and to finalize and engineering design; to install and operate the systems in the intended environment, and to evaluate the technical and economic effectiveness of the systems. The objectives of this project were met. This report documents the final design that was achieved and includes the engineering design documents for the system. The system operated as designed, with the system availability limited by maintenance requirements of the diesel gensets. Overall, the system achieved a 96% availability over the operation of the three deployed systems. Capital costs of the systems were dependent upon both the size of the generation system and the scope of the distribution grid, but, in this instance, the systems averaged $0.72/kWh delivered. This cost would decrease significantly as utilization of the system increased. The system with the highest utilization achieved a capitol cost amortized value of $0.34/kWh produced. The average amortized fuel and maintenance cost was $0.48/kWh which was dependent upon the amount of maintenance required by the diesel generator. Economically, the system is difficult to justify as an alternative to grid power. However, the operational costs are reasonable if grid power is unavailable, e.g. in a remote area or in a disaster recovery situation. In fact, avoided fuel costs for the smaller of the systems in use during this project would have a payback of the capital costs of that system in 2.3 years, far short of the effective system life.

  13. Microsoft Word - abstract-lacognata-tx_2012

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

    ASTROPHYSICAL ENERGIES Dr. M. La Cognata INFN-Laboratori Nazionali del Sud, Catania, Italy ABSTRACT The 19 F(p,) 16 O reaction is an important fluorine destruction channel in ...

  14. Clint, TX Natural Gas Exports to Mexico

    Gasoline and Diesel Fuel Update (EIA)

    87,449 96,722 101,585 108,573 123,670 126,022 1997-2015 Pipeline Prices 4.61 4.29 3.08 4.05 4.68 2.70 1997

  15. Hidalgo, TX Natural Gas Exports to Mexico

    Gasoline and Diesel Fuel Update (EIA)

    Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2009 2010 2011 2012 2013 2014 View History Pipeline Volumes 284 62 0 0 0 0 1996-2014 Pipeline Prices 4.40 4.21 -- -- -- -- 1996-2014

  16. Hidalgo, TX Natural Gas Exports to Mexico

    Gasoline and Diesel Fuel Update (EIA)

    0 2,506 9,227 14,862 8,817 1996-2015 Pipeline Prices -- -- 3.47 3.92 4.68 2.28 1996

  17. Penitas, TX Natural Gas Exports to Mexico

    Gasoline and Diesel Fuel Update (EIA)

    Working Gas from Same Month Previous Year (Percent) Producing Region Natural Gas in Underground Storage - Change in Working Gas from Same Month Previous Year (Percent) Pacific Producing Region Natural Gas in Underground Storage - Change in Working Gas from Same Month Previous Year (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2015 39.40 137.00 162.70 103.50 62.40 34.80 25.30 14.90 12.90 9.80 8.70 -0.90 2016 0.10 -3.90 - = No Data Reported; -- = Not Applicable; NA = Not

  18. Alamo, TX Natural Gas Exports to Mexico

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

    3,678 27,479 48,850 72,039 76,111 78,866 1998-2014 Pipeline Prices 3.95 4.50 4.10 2.86 3.81 4.63 1998...

  19. Evaluation of Multiplexed 16S rRNA Microbial Population Surveys Using Illumina MiSeq Platform (Seventh Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting 2012)

    ScienceCinema (OSTI)

    Tremblay, Julien [DOE JGI

    2013-01-25

    Julien Tremblay from DOE JGI presents "Evaluation of Multiplexed 16S rRNA Microbial Population Surveys Using Illumina MiSeq Platorm" at the 7th Annual Sequencing, Finishing, Analysis in the Future (SFAF) Meeting held in June, 2012 in Santa Fe, NM.

  20. A library of MiMICs allows tagging of genes and reversible, spatial and temporal knockdown of proteins in Drosophila

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

    Nagarkar-Jaiswal, Sonal; Lee, Pei-Tseng; Campbell, Megan E.; Chen, Kuchuan; Anguiano-Zarate, Stephanie; Cantu Gutierrez, Manuel; Busby, Theodore; Lin, Wen-Wen; He, Yuchun; Schulze, Karen L.; et al

    2015-03-31

    Here, we document a collection of ~7434 MiMIC (Minos Mediated Integration Cassette) insertions of which 2854 are inserted in coding introns. They allowed us to create a library of 400 GFP-tagged genes. We show that 72% of internally tagged proteins are functional, and that more than 90% can be imaged in unfixed tissues. Moreover, the tagged mRNAs can be knocked down by RNAi against GFP (iGFPi), and the tagged proteins can be efficiently knocked down by deGradFP technology. The phenotypes associated with RNA and protein knockdown typically correspond to severe loss of function or null mutant phenotypes. Finally, we demonstratemore » reversible, spatial, and temporal knockdown of tagged proteins in larvae and adult flies. This new strategy and collection of strains allows unprecedented in vivo manipulations in flies for many genes. These strategies will likely extend to vertebrates.« less

  1. A library of MiMICs allows tagging of genes and reversible, spatial and temporal knockdown of proteins in Drosophila

    SciTech Connect (OSTI)

    Nagarkar-Jaiswal, Sonal; Lee, Pei-Tseng; Campbell, Megan E.; Chen, Kuchuan; Anguiano-Zarate, Stephanie; Cantu Gutierrez, Manuel; Busby, Theodore; Lin, Wen-Wen; He, Yuchun; Schulze, Karen L.; Booth, Benjamin W.; Evans-Holm, Martha; Venken, Koen J.T.; Levis, Robert W.; Spradling, Allan C.; Hoskins, Roger A.; Bellen, Hugo J.

    2015-03-31

    Here, we document a collection of ~7434 MiMIC (Minos Mediated Integration Cassette) insertions of which 2854 are inserted in coding introns. They allowed us to create a library of 400 GFP-tagged genes. We show that 72% of internally tagged proteins are functional, and that more than 90% can be imaged in unfixed tissues. Moreover, the tagged mRNAs can be knocked down by RNAi against GFP (iGFPi), and the tagged proteins can be efficiently knocked down by deGradFP technology. The phenotypes associated with RNA and protein knockdown typically correspond to severe loss of function or null mutant phenotypes. Finally, we demonstrate reversible, spatial, and temporal knockdown of tagged proteins in larvae and adult flies. This new strategy and collection of strains allows unprecedented in vivo manipulations in flies for many genes. These strategies will likely extend to vertebrates.

  2. U.S. Total Exports

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

    Mesa, CA Otay Mesa, CA San Diego, CA Alamo, TX Clint, TX Del Rio, TX Eagle Pass, TX El Paso, TX Freeport, TX Hidalgo, TX Laredo, TX McAllen, TX Penitas, TX Rio Bravo, TX Rio ...

  3. TITLE AUTHORS SUBJECT SUBJECT RELATED DESCRIPTION PUBLISHER AVAILABILI...

    Office of Scientific and Technical Information (OSTI)

    J He Z University of Michigan Ann Arbor MI United States Mackin D Beddar S MD Anderson Cancer Center Houston TX United States Zheng Y Procure Proton Therapy Center Oklahoma City OK...

  4. Repression of miR-17-5p with elevated expression of E2F-1 and c-MYC in non-metastatic hepatocellular carcinoma and enhancement of cell growth upon reversing this expression pattern

    SciTech Connect (OSTI)

    El Tayebi, H.M.; Omar, K.; Hegy, S.; El Maghrabi, M.; El Brolosy, M.; Hosny, K.A.; Esmat, G.; Abdelaziz, A.I.

    2013-05-10

    Highlights: The oncogenic miR-17-5p is downregulated in non-metastatic hepatocellular carcinoma patients. E2F-1 and c-MYC transcripts are upregulated in non-metastatic HCC patients. miR-17-5p forced overexpression inhibited E2F-1 and c-MYC expression in HuH-7 cells. miR-17-5p mimicking increased HuH-7 cell growth, proliferation, migration and colony formation. miR-17-5p is responsible for HCC progression among the c-MYC/E2F-1/miR-17-5p triad members. -- Abstract: E2F-1, c-MYC, and miR-17-5p is a triad of two regulatory loops: a negative and a positive loop, where c-MYC induces the expression of E2F-1 that induces the expression of miR-17-5p which in turn reverses the expression of E2F-1 to close the loop. In this study, we investigated this triad for the first time in hepatocellular carcinoma (HCC), where miR-17-5p showed a significant down-regulation in 23 non-metastatic HCC biopsies compared to 10 healthy tissues; however, E2F-1 and c-MYC transcripts were markedly elevated. Forced over-expression of miR-17-5p in HuH-7 cells resulted in enhanced cell proliferation, growth, migration and clonogenicity with concomitant inhibition of E2F-1 and c-MYC transcripts expressions, while antagomirs of miR-17-5p reversed these events. In conclusion, this study revealed a unique pattern of expression for miR-17-5p in non-metastatic HCC patients in contrast to metastatic HCC patients. In addition we show that miR-17-5p is the key player among the triad that tumor growth and spread.

  5. Resonances in Coupled <mimi><mi>Kmi>-<mi>ηK> Scattering from Quantum Chromodynamics

    SciTech Connect (OSTI)

    Dudek, Jozef J.; Edwards, Robert G.; Thomas, Christopher E.; Wilson, David J.

    2014-10-01

    Using first-principles calculation within Quantum Chromodynamics, we are able to reproduce the pattern of experimental strange resonances which appear as complex singularities within coupled πK, ηK scattering amplitudes. We make use of numerical computation within the lattice discretized approach to QCD, extracting the energy dependence of scattering amplitudes through their relation- ship to the discrete spectrum of the theory in a finite-volume, which we map out in unprecedented detail.

  6. Microfluidic molecular assay platform for the detection of miRNAs, mRNAs, proteins, and post-translational modifications at single-cell resolution

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

    Wu, Meiye; Singh, Anup K.

    2014-07-15

    In this study, cell signaling is a dynamic and complex process. A typical signaling pathway may begin with activation of cell surface receptors, leading to activation kinase cascade that culminates in induction of mRNA and non-coding miRNA production in the nucleus, followed by modulation of mRNA expression by miRNAs in the cytosol, and end with production of proteins in response to the signaling pathway. Signaling pathways involve proteins, miRNA, and mRNAs, along with various forms of transient post-translational modifications, and detecting each type of signaling molecule requires categorically different sample preparation methods such as Western blotting for proteins, PCR formore » nucleic acids, and flow cytometry for post-translational modifications. Since we know that cells in populations behave heterogeneously1, especially in the cases of stem cells, cancer, and hematopoiesis, there is need for a new technology that provides capability to detect and quantify multiple categories of signaling molecules in intact single cells to provide a comprehensive view of the cell’s physiological state. In this technical brief, we describe our microfluidic platform with a portfolio of customized molecular assays that can detect nucleic acids, proteins, and post-translational modifications in single intact cells with >95% reduction in reagent requirement in under 8 hours.« less

  7. Microfluidic Molecular Assay Platform for the Detection of miRNAs, mRNAs, Proteins, and Posttranslational Modifications at Single-Cell Resolution

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

    Wu, Meiye; Singh, Anup K.

    2014-07-15

    Cell signaling is a dynamic and complex process. A typical signaling pathway may begin with activation of cell surface receptors, leading to activation kinase cascade that culminates in induction of mRNA and non-coding miRNA production in the nucleus, followed by modulation of mRNA expression by miRNAs in the cytosol, and end with production of proteins in response to the signaling pathway. Signaling pathways involve proteins, miRNA, and mRNAs, along with various forms of transient post-translational modifications, and detecting each type of signaling molecule requires categorically different sample preparation methods such as Western blotting for proteins, PCR for nucleic acids, andmoreflow cytometry for post-translational modifications. Since we know that cells in populations behave heterogeneously1, especially in the cases of stem cells, cancer, and hematopoiesis, there is need for a new technology that provides capability to detect and quantify multiple categories of signaling molecules in intact single cells to provide a comprehensive view of the cells physiological state. In this technical brief, we describe our microfluidic platform with a portfolio of customized molecular assays that can detect nucleic acids, proteins, and post-translational modifications in single intact cells with >95% reduction in reagent requirement in under 8 hours.less

  8. Microfluidic molecular assay platform for the detection of miRNAs, mRNAs, proteins, and post-translational modifications at single-cell resolution

    SciTech Connect (OSTI)

    Wu, Meiye; Singh, Anup K.

    2014-07-15

    In this study, cell signaling is a dynamic and complex process. A typical signaling pathway may begin with activation of cell surface receptors, leading to activation kinase cascade that culminates in induction of mRNA and non-coding miRNA production in the nucleus, followed by modulation of mRNA expression by miRNAs in the cytosol, and end with production of proteins in response to the signaling pathway. Signaling pathways involve proteins, miRNA, and mRNAs, along with various forms of transient post-translational modifications, and detecting each type of signaling molecule requires categorically different sample preparation methods such as Western blotting for proteins, PCR for nucleic acids, and flow cytometry for post-translational modifications. Since we know that cells in populations behave heterogeneously1, especially in the cases of stem cells, cancer, and hematopoiesis, there is need for a new technology that provides capability to detect and quantify multiple categories of signaling molecules in intact single cells to provide a comprehensive view of the cell’s physiological state. In this technical brief, we describe our microfluidic platform with a portfolio of customized molecular assays that can detect nucleic acids, proteins, and post-translational modifications in single intact cells with >95% reduction in reagent requirement in under 8 hours.

  9. Pantex Regional Middle School Science Bowl | U.S. DOE Office...

    Office of Science (SC) Website

    TX Collingsworth County, TX Crosby County, TX Dallam County, TX Dawson County, TX Deaf Smith County, TX Donley County, TX Floyd County, TX Gaines County, TX Garza County, TX Gray ...

  10. Pantex Regional High School Science Bowl | U.S. DOE Office of...

    Office of Science (SC) Website

    TX Cottle County, TX Crosby County, TX Dallam County, TX Dawson County, TX Deaf Smith County, TX Dickens County, TX Donley County, TX Floyd County, TX Gaines County, TX ...

  11. Arsenite evokes IL-6 secretion, autocrine regulation of STAT3 signaling, and miR-21 expression, processes involved in the EMT and malignant transformation of human bronchial epithelial cells

    SciTech Connect (OSTI)

    Luo, Fei; Xu, Yuan; Ling, Min; Zhao, Yue; Xu, Wenchao; Liang, Xiao; Jiang, Rongrong; Wang, Bairu; Bian, Qian; Liu, Qizhan

    2013-11-15

    Arsenite is an established human carcinogen, and arsenite-induced inflammation contributes to malignant transformation of cells, but the molecular mechanisms by which cancers are produced remain to be established. The present results showed that, evoked by arsenite, secretion of interleukin-6 (IL-6), a pro-inflammatory cytokine, led to the activation of STAT3, a transcription activator, and to increased levels of a microRNA, miR-21. Blocking IL-6 with anti-IL-6 antibody and inhibiting STAT3 activation reduced miR-21 expression. For human bronchial epithelial cells, cultured in the presence of anti-IL-6 antibody for 3 days, the arsenite-induced EMT and malignant transformation were reversed. Thus, IL-6, acting on STAT3 signaling, which up-regulates miR-21in an autocrine manner, contributes to the EMT induced by arsenite. These data define a link from inflammation to EMT in the arsenite-induced malignant transformation of HBE cells. This link, mediated through miRNAs, establishes a mechanism for arsenite-induced lung carcinogenesis. - Highlights: Arsenite evokes IL-6 secretion. IL-6 autocrine mediates STAT3 signaling and up-regulates miR-21expression. Inflammation is involved in arsenite-induced EMT.

  12. Ecloud Build-Up Simulations for the FNAL MI for a Mixed Fill Pattern: Dependence on Peak SEY and Pulse Intensity During the Ramp

    SciTech Connect (OSTI)

    Furman, M. A.

    2010-12-11

    We present simulation results of the build-up of the electron-cloud density n{sub e} in three regions of the FNAL Main Injector (MI) for a beam fill pattern made up of 5 double booster batches followed by a 6th single batch. We vary the pulse intensity in the range N{sub t} = (2-5) x 10{sup 13}, and the beam kinetic energy in the range E{sub k} = 8-120 GeV. We assume a secondary electron emission model qualitatively corresponding to TiN, except that we let the peak value of the secondary electron yield (SEY) {delta}{sub max} vary as a free parameter in a fairly broad range. Our main conclusions are: (1) At fixed N{sub t} there is a clear threshold behavior of n{sub e} as a function of {delta}{sub max} in the range {approx} 1.1-1.3. (2) At fixed {delta}{sub max}, there is a threshold behavior of n{sub e} as a function of N{sub t} provided {delta}{sub max} is sufficiently high; the threshold value of N{sub t} is a function of the characteristics of the region being simulated. (3) The dependence on E{sub k} is weak except possibly at transition energy. Most of these results were informally presented to the relevant MI personnel in April 2010.

  13. The Office of Minority Economic Impact (MI) was established in Fiscal Year 1979 pursuant to Section 641 Title V1, Part 3 of the National Energy Conservation Policy Act (Public Law 95-619), dated November 9, 1978

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

    Office of Minority Economic Impact (MI) was established in Fiscal Year 1979 pursuant to Section 641 Title V1, Part 3 of the National Energy Conservation Policy Act (Public Law 95- 619), dated November 9, 1978. The following is MI's legislative mandate. PART 3 - - MINORITY ECONOMIC IMPACT SEC. 641. MINORITY ECONOMIC IMPACT. "(a) Establishment of Office of Minority Economic Impact -- Title II of the Department of Energy Organization Act (42 U.S.C. 7131 - - 7139) is amended by adding at the

  14. U.S. Department of Energy

    Gasoline and Diesel Fuel Update (EIA)

    ... TX ROBERTS INDIAN CREEK 1909833001 TX GREGG LONGVIEW 1976560001 TX SMITH CHAPEL HILL ... TX STEPHENS SHACKELFORD 170 4916171012 TX IRION MERTZON 4916171017 TX SMITH TYLER GAS ...

  15. 17β-Estradiol regulates cell proliferation, colony formation, migration, invasion and promotes apoptosis by upregulating miR-9 and thus degrades MALAT-1 in osteosarcoma cell MG-63 in an estrogen receptor-independent manner

    SciTech Connect (OSTI)

    Fang, Dengfeng; Yang, Hui; Lin, Jing; Teng, Yi; Jiang, Yingying; Chen, Jiao; Li, Yu

    2015-02-20

    In bone, different concentration of estrogen leads to various of physiological processes in osteoblast, such as the proliferation, migration, and apoptosis in an estrogen receptor-dependent manner. But little was known about the estrogen effects on osteosarcoma (OS). In this study, OS cell MG-63 was treated with low (1 nM) or high (100 nM) dose of 17β-Estradiol (E2) with the presence or absence of estrogen receptor α (ERα), for evaluating the E2 effects on proliferation, migration, invasion, colony formation and apoptosis. Consistent with a previous study, high dose of E2 treatment dramatically downregulated expressing level of long non-coding RNA metastasis associated lung adenocarcinoma transcript 1 (MALAT-1). The observation of upregulation of miR-9 after a high dose of E2 treatment indicated the cause of MALAT-1 reduction. Downregulation of MALAT-1 promoted the combination of SFPQ/PTBP2 complex. It was also observed that the proliferation, migration, invasion, colony formation and apoptosis of OS cells were remarkably affected by high dose of E2 treatment, but not by low dose, in an ERα independent manner. Furthermore, the abolishment of the effects on these physiological processes caused by ectopic expression of miR-9 ASOs suggested the necessity of miR-9 in MALAT-1 regulation. Here we found that the high dose of E2 treatment upregulated miR-9 thus posttranscriptionally regulated MALAT-1 RNA level in OS cells, and then the downregulation of MALAT-1 inhibited cell proliferation, migration, invasion and epithelial–mesenchymal transition (EMT) processes in the E2-dose dependent and ER-independent ways. - Highlights: • E2 affects osteosarcoma cell MG-63 in an Estrogen receptor-independent way. • High dose of E2 treatment upregulates miR-9 which target to MALAT-1 RNA. • Upregulated miR-9 degrades MALAT-1 and thus affects combination of SFPQ/PTBP2. • E2 treatment block cell proliferation, colony formation, mobility, and enhance apoptosis.

  16. Alamo, TX Natural Gas Pipeline Exports to Mexico (Million Cubic...

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

    8,101 6,852 6,008 5,844 5,840 4,837 2015 3,440 3,990 6,547 6,431 7,980 6,896 7,411 5,451 5,292 6,185 4,875 4,771 2016 7,203 5,595 - No Data Reported; -- Not Applicable; NA ...

  17. Clint, TX Natural Gas Pipeline Exports to Mexico (Dollars per...

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 4.51 4.57 4.11 4.50 4.51 4.73 4.68 4.57 4.21 3.89 3.71 3.63 2012 3.30 2.93 2.62 2.34 2.57 2.82 3.13 3.23 3.07 3.53 3.83 ...

  18. Penitas, TX Natural Gas Pipeline Exports to Mexico (Dollars per...

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 4.43 4.15 3.95 4.32 4.37 4.58 4.44 4.38 3.88 3.64 3.10

  19. Alamo, TX Natural Gas Pipeline Exports to Mexico (Dollars per...

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 4.37 4.38 3.92 4.24 4.36 4.46 4.46 4.29 3.88 3.67 3.40 3.31 2012 3.11 2.64 2.28 2.09 2.41 2.48 2.90 3.08 2.80 3.26 3.53 ...

  20. Eagle Pass, TX Natural Gas Pipeline Exports to Mexico (Dollars...

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.52 2.79 2.24 2.35 2000's 3.91 4.45 3.44 5.34 5.95 7.49 6.73 6.72 9.00 4.47 2010's 5.13 4.57 ...

  1. Romas, TX Natural Gas Pipeline Exports (Price) Mexico (Dollars...

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 4.54 4.33 3.95 4.33 4.42 4.49 4.47 4.44 3.92 3.66 3.24 3.30 2012 2.81 2.64 2.35 2.09 2.46 2.63 2.93 3.05 2.81 3.23 3.49 ...

  2. Alamo, TX Natural Gas Pipeline Exports to Mexico (Dollars per...

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 2000's 4.49 4.12 3.35 5.36 5.97 7.17 6.62 7.11 8.40 3.95 2010's 4.50 4.10 2.86 3.81 4.63 ...

  3. Clint, TX Natural Gas Pipeline Exports to Mexico (Dollars per...

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.24 1.99 2.22 2000's 3.95 4.28 3.16 5.50 5.91 8.01 6.42 6.37 7.83 3.78 2010's 4.61 4.29 3.08 ...

  4. Galvan Ranch, TX Natural Gas Pipeline Imports From Mexico (Dollars...

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 3.27 3.34 2.85 3.28 3.41 3.38 3.44 3.42 2.94 2.82 2.55 2.41 2012 2.17 1.80 1.56 1.27 1.15 1.52 1.86 2.09 1.76 2.09 2.80 ...

  5. Penitas, TX Natural Gas Pipeline Exports to Mexico (Dollars per...

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.05 2.62 2.09 NA 2000's NA NA 3.27 6.53 5.71 -- -- -- 8.41 4.37 2010's 4.94 4.19 -- -- --

  6. Romas, TX Natural Gas Pipeline Exports (Price) Mexico (Dollars...

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA 2000's NA NA NA 5.18 5.84 7.29 6.75 6.93 8.58 3.91 2010's 4.55 4.14 2.86 3.80 4.62 2.79

  7. Galvan Ranch, TX Natural Gas Pipeline Imports From Mexico (Dollars...

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's -- -- 2.69 2010's 3.52 3.12 1.87 2.66 3.45 1.71

  8. Eagle Pass, TX Natural Gas Pipeline Exports to Mexico (Dollars...

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 4.77 4.97 4.44 4.94 5.00 4.95 5.04 4.61 4.61 4.39 4.11 3.94 2012 3.67 3.24 3.02 2.78 2.63 3.10 3.43 3.78 3.28 3.64 4.04 ...

  9. TX, RRC District 1 Dry Natural Gas Proved Reserves

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

    398 2,399 5,910 8,868 7,784 11,945 1977-2014 Adjustments -22 -95 53 122 161 81 1977-2014 Revision Increases 105 424 2,221 1,896 1,141 4,001 1977-2014 Revision Decreases 104 320 174 1,548 2,833 872 1977-2014 Sales 35 466 1,193 32 91 150 2000-2014 Acquisitions 50 416 1,139 19 127 173 2000-2014 Extensions 143 1,023 1,657 2,884 1,076 1,766 1977-2014 New Field Discoveries 358 117 24 38 2 0 1977-2014 New Reservoir Discoveries in Old Fields 0 15 2 1 11 16 1977-2014 Estimated Production 82 113 218 422

  10. TX, RRC District 10 Dry Natural Gas Proved Reserves

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

    6,882 7,663 7,513 7,253 7,034 7,454 1977-2014 Adjustments 188 -172 -76 301 41 127 1977-2014 Revision Increases 526 1,252 795 1,022 891 910 1977-2014 Revision Decreases 1,060 958 1,413 2,427 1,369 1,101 1977-2014 Sales 46 131 1,089 132 533 1,387 2000-2014 Acquisitions 68 96 579 671 813 1,846 2000-2014 Extensions 837 1,263 1,687 1,003 532 657 1977-2014 New Field Discoveries 0 0 3 0 0 0 1977-2014 New Reservoir Discoveries in Old Fields 0 0 14 0 92 0 1977-2014 Estimated Production 553 569 650 698

  11. TX, RRC District 2 Onshore Coalbed Methane Proved Reserves, Reserves

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

    Changes, and Production 1 2 4 2005-2014 Adjustments 0 0 0 1 1 -5 2009-2014 Revision Increases 0 0 0 0 0 9 2009-2014 Revision Decreases 0 0 0 0 0 0 2009-2014 Sales 0 0 0 0 0 1 2009-2014 Acquisitions 0 0 0 0 0 0 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 0 0 0 0 0 1

  12. TX, RRC District 2 Onshore Dry Natural Gas Proved Reserves

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

    800 2,090 3,423 5,462 5,910 6,559 1977-2014 Adjustments -90 -10 178 -19 -219 -84 1977-2014 Revision Increases 190 333 425 403 985 633 1977-2014 Revision Decreases 372 302 550 614 1,462 732 1977-2014 Sales 22 18 162 11 370 1,327 2000-2014 Acquisitions 5 30 634 195 426 1,267 2000-2014 Extensions 86 178 1,001 2,446 1,595 1,462 1977-2014 New Field Discoveries 11 307 0 0 0 0 1977-2014 New Reservoir Discoveries in Old Fields 13 9 113 69 27 103 1977-2014 Estimated Production 259 237 306 430 534 673

  13. TX, RRC District 2 Onshore Lease Condensate Proved Reserves, Reserve

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

    Changes, and Production 5 47 229 506 594 706 1979-2014 Adjustments 3 1 13 -26 7 -9 2009-2014 Revision Increases 2 4 33 54 98 70 2009-2014 Revision Decreases 6 4 20 15 162 89 2009-2014 Sales 0 0 6 0 10 139 2009-2014 Acquisitions 0 0 80 22 24 137 2009-2014 Extensions 1 15 91 272 179 208 2009-2014 New Field Discoveries 0 21 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 1 0 9 3 1 0 2009-2014 Estimated Production 3 5 18 33 49 6

  14. TX, RRC District 2 Onshore Proved Nonproducing Reserves

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

    14 53 242 711 615 825 1996-2014 Lease Condensate (million bbls) 1 22 100 369 268 438 1998-2014 Total Gas (billion cu ft) 648 886 1,504 3,707 2,477 4,014 1996-2014 Nonassociated Gas (billion cu ft) 617 810 1,104 2,307 1,567 2,454 1996-2014 Associated Gas (billion cu ft) 31 76 400 1,400 910 1,560

  15. TX, RRC District 3 Onshore Coalbed Methane Proved Reserves, Reserves

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

    Changes, and Production 71 47 49 2005-2014 Adjustments 0 0 0 81 -17 -37 2009-2014 Revision Increases 0 0 0 0 0 21 2009-2014 Revision Decreases 0 0 0 0 0 0 2009-2014 Sales 0 0 0 0 0 1 2009-2014 Acquisitions 0 0 0 0 0 0 2009-2014 Extensions 0 0 0 0 0 26 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 0 0 0 10 7 7

  16. TX, RRC District 3 Onshore Dry Natural Gas Proved Reserves

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

    2,616 2,588 2,260 2,154 2,307 2,199 1977-2014 Adjustments -124 82 -95 164 49 -191 1977-2014 Revision Increases 490 482 375 604 547 370 1977-2014 Revision Decreases 369 319 252 631 284 264 1977-2014 Sales 174 184 274 214 103 142 2000-2014 Acquisitions 190 199 204 182 130 171 2000-2014 Extensions 288 175 104 121 119 222 1977-2014 New Field Discoveries 61 20 16 10 3 27 1977-2014 New Reservoir Discoveries in Old Fields 11 25 3 8 9 20 1977-2014 Estimated Production 509 508 409 350 317 321

  17. TX, RRC District 3 Onshore Lease Condensate Proved Reserves, Reserve

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

    Changes, and Production 75 76 81 63 67 1979-2014 Adjustments 3 -2 3 13 -8 1 2009-2014 Revision Increases 20 19 18 20 12 9 2009-2014 Revision Decreases 10 16 9 16 17 8 2009-2014 Sales 1 4 11 8 2 3 2009-2014 Acquisitions 1 12 10 4 4 7 2009-2014 Extensions 10 10 6 6 3 4 2009-2014 New Field Discoveries 3 1 0 0 0 1 2009-2014 New Reservoir Discoveries in Old Fields 0 1 0 0 1 3 2009-2014 Estimated Production 17 20 16 14 11 10

  18. TX, RRC District 3 Onshore Proved Nonproducing Reserves

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

    26 37 19 118 163 189 1996-2014 Lease Condensate (million bbls) 14 15 14 25 13 19 1998-2014 Total Gas (billion cu ft) 798 879 714 671 735 709 1996-2014 Nonassociated Gas (billion cu ft) 685 739 627 556 502 527 1996-2014 Associated Gas (billion cu ft) 113 140 87 115 233 182

  19. TX, RRC District 4 Onshore Coalbed Methane Proved Reserves, Reserves

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

    Changes, and Production 1 1 1 2005-2014 Adjustments 0 0 0 1 0 0 2009-2014 Revision Increases 0 0 0 0 0 0 2009-2014 Revision Decreases 0 0 0 0 0 0 2009-2014 Sales 0 0 0 0 0 0 2009-2014 Acquisitions 0 0 0 0 0 0 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 0 0 0 0 0 0

  20. TX, RRC District 4 Onshore Dry Natural Gas Proved Reserves

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

    6,728 7,014 9,458 8,743 9,640 11,057 1977-2014 Adjustments -127 3 358 635 225 82 1977-2014 Revision Increases 774 1,084 2,271 965 905 1,496 1977-2014 Revision Decreases 1,419 850 1,087 2,072 1,491 786 1977-2014 Sales 260 208 939 550 424 505 2000-2014 Acquisitions 309 180 1,245 65 523 1,148 2000-2014 Extensions 506 943 1,452 1,162 1,977 843 1977-2014 New Field Discoveries 45 24 7 1 0 2 1977-2014 New Reservoir Discoveries in Old Fields 309 3 23 5 1 19 1977-2014 Estimated Production 1,013 893 886

  1. TX, RRC District 4 Onshore Lease Condensate Proved Reserves, Reserve

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

    Changes, and Production 96 202 181 228 223 1979-2014 Adjustments -2 -1 4 28 83 -16 2009-2014 Revision Increases 15 12 47 17 23 16 2009-2014 Revision Decreases 16 14 35 100 74 24 2009-2014 Sales 5 2 10 3 8 4 2009-2014 Acquisitions 3 2 20 2 5 18 2009-2014 Extensions 7 37 94 53 38 26 2009-2014 New Field Discoveries 3 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 1 0 1 0 0 0 2009-2014 Estimated Production 11 12 15 18 20 21

  2. TX, RRC District 4 Onshore Proved Nonproducing Reserves

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

    80 3 1 7 6 1996-2014 Lease Condensate (million bbls) 23 43 83 90 132 115 1998-2014 Total Gas (billion cu ft) 2,663 3,171 4,489 4,755 5,850 6,564 1996-2014 Nonassociated Gas (billion cu ft) 2,644 3,147 4,475 4,741 5,831 6,501 1996-2014 Associated Gas (billion cu ft) 19 24 14 14 19 63

  3. TX, RRC District 5 Dry Natural Gas Proved Reserves

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

    22,343 24,363 27,843 17,331 19,280 17,880 1977-2014 Adjustments 96 27 674 -1,078 269 -119 1977-2014 Revision Increases 1,904 1,577 3,693 336 3,338 740 1977-2014 Revision Decreases 1,458 1,274 2,157 8,168 769 1,417 1977-2014 Sales 31 1 10,556 529 93 614 2000-2014 Acquisitions 277 5 10,694 289 574 1,229 2000-2014 Extensions 2,992 3,457 3,034 387 188 193 1977-2014 New Field Discoveries 0 0 2 0 0 0 1977-2014 New Reservoir Discoveries in Old Fields 0 0 0 3 24 0 1977-2014 Estimated Production 1,718

  4. TX, RRC District 6 Dry Natural Gas Proved Reserves

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

    12,795 14,886 15,480 11,340 11,655 11,516 1977-2014 Adjustments 423 403 296 -1,010 128 -272 1977-2014 Revision Increases 1,820 2,660 4,894 2,108 2,089 1,979 1977-2014 Revision Decreases 2,225 2,680 5,464 5,203 1,404 1,178 1977-2014 Sales 358 505 3,938 290 429 842 2000-2014 Acquisitions 243 955 3,944 393 572 614 2000-2014 Extensions 1,671 2,173 1,670 979 409 562 1977-2014 New Field Discoveries 0 51 3 0 0 0 1977-2014 New Reservoir Discoveries in Old Fields 41 51 268 7 7 0 1977-2014 Estimated

  5. TX, RRC District 7B Dry Natural Gas Proved Reserves

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

    2,077 2,242 3,305 2,943 2,787 2,290 1977-2014 Adjustments 63 68 -65 666 -162 -170 1977-2014 Revision Increases 144 260 387 41 405 203 1977-2014 Revision Decreases 193 231 344 983 223 355 1977-2014 Sales 494 3 683 142 18 2 2000-2014 Acquisitions 27 0 1,855 116 15 0 2000-2014 Extensions 319 220 109 205 2 8 1977-2014 New Field Discoveries 0 0 0 0 0 0 1977-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 53 0 1977-2014 Estimated Production 171 149 196 265 228 181

  6. TX, RRC District 7B Proved Nonproducing Reserves

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

    8 8 13 19 12 16 1996-2014 Lease Condensate (million bbls) 0 1 0 0 0 0 1998-2014 Total Gas (billion cu ft) 737 897 890 857 629 464 1996-2014 Nonassociated Gas (billion cu ft) 714 890 878 840 617 407 1996-2014 Associated Gas (billion cu ft) 23 7 12 17 12 5

  7. TX, RRC District 7C Dry Natural Gas Proved Reserves

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

    4,827 4,787 4,475 4,890 4,800 6,422 1977-2014 Adjustments 29 68 -311 639 -236 764 1977-2014 Revision Increases 355 535 684 421 693 1,343 1977-2014 Revision Decreases 447 710 708 1,113 889 1,177 1977-2014 Sales 90 575 260 84 129 636 2000-2014 Acquisitions 97 451 271 106 127 886 2000-2014 Extensions 263 496 305 708 568 865 1977-2014 New Field Discoveries 0 0 0 1 0 0 1977-2014 New Reservoir Discoveries in Old Fields 2 10 0 46 104 1 1977-2014 Estimated Production 328 315 293 309 328 424

  8. TX, RRC District 7C Proved Nonproducing Reserves

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

    221 286 301 438 400 642 1996-2014 Lease Condensate (million bbls) 10 13 4 14 3 5 1998-2014 Total Gas (billion cu ft) 1,619 1,659 1,551 1,844 1,540 2,305 1996-2014 Nonassociated Gas (billion cu ft) 875 789 447 387 157 318 1996-2014 Associated Gas (billion cu ft) 744 870 1,104 1,457 1,383 1,98

  9. TX, RRC District 8 Dry Natural Gas Proved Reserves

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

    6,672 7,206 7,039 7,738 8,629 9,742 1977-2014 Adjustments 233 304 -703 395 243 -395 1977-2014 Revision Increases 828 1,082 1,056 1,115 1,154 2,164 1977-2014 Revision Decreases 1,375 1,268 1,028 1,549 1,060 1,388 1977-2014 Sales 260 363 185 385 608 734 2000-2014 Acquisitions 194 758 482 656 575 771 2000-2014 Extensions 747 568 676 1,023 1,223 1,429 1977-2014 New Field Discoveries 1 0 4 7 0 1 1977-2014 New Reservoir Discoveries in Old Fields 25 2 1 1 26 32 1977-2014 Estimated Production 545 549

  10. TX, RRC District 8A Dry Natural Gas Proved Reserves

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

    1,218 1,164 1,226 1,214 1,269 1,257 1977-2014 Adjustments 87 -40 -30 -2 16 4 1977-2014 Revision Increases 161 138 195 107 168 137 1977-2014 Revision Decreases 111 63 36 36 59 59 1977-2014 Sales 8 14 25 29 36 5 2000-2014 Acquisitions 17 4 41 27 42 6 2000-2014 Extensions 8 14 10 16 23 8 1977-2014 New Field Discoveries 0 0 0 1 0 0 1977-2014 New Reservoir Discoveries in Old Fields 0 0 1 1 0 0 1977-2014 Estimated Production 108 93 94 97 99 103

  11. TX, RRC District 8A Proved Nonproducing Reserves

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

    413 418 419 433 367 361 1996-2014 Lease Condensate (million bbls) 6 11 5 6 0 0 1998-2014 Total Gas (billion cu ft) 376 369 360 336 309 258 1996-2014 Nonassociated Gas (billion cu ft) 2 1 1 1 1 1 1996-2014 Associated Gas (billion cu ft) 374 368 359 335 308 25

  12. TX, RRC District 9 Dry Natural Gas Proved Reserves

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

    10,904 12,464 10,115 8,894 9,195 8,791 1977-2014 Adjustments 18 336 -110 -725 378 248 1977-2014 Revision Increases 610 1,070 2,850 212 1,087 793 1977-2014 Revision Decreases 503 221 5,564 1,048 636 1,036 1977-2014 Sales 71 92 1,204 353 583 139 2000-2014 Acquisitions 86 46 1,432 281 18 0 2000-2014 Extensions 2,400 1,147 850 977 396 346 1977-2014 New Field Discoveries 0 0 10 0 0 0 1977-2014 New Reservoir Discoveries in Old Fields 14 7 0 46 244 0 1977-2014 Estimated Production 687 733 613 611 603

  13. TX, State Offshore Crude Oil plus Lease Condensate Proved Reserves

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

    4 4 3 3 2 2 2009-2014 Adjustments -2 0 -2 1 -1 1 2009-2014 Revision Increases 1 0 3 0 0 1 2009-2014 Revision Decreases 0 0 2 1 0 2 2009-2014 Sales 0 0 0 0 0 0 2009-2014 Acquisitions 0 1 0 0 0 0 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 1 1 0 0 0

  14. TX, State Offshore Dry Natural Gas Proved Reserves

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

    64 131 118 94 59 42 1981-2014 Adjustments -29 11 -25 16 -13 -3 1981-2014 Revision Increases 29 20 75 16 9 18 1981-2014 Revision Decreases 22 56 66 11 19 22 1981-2014 Sales 3 20 2 23 6 0 2000-2014 Acquisitions 0 39 26 0 0 0 2000-2014 Extensions 0 0 0 0 0 0 1981-2014 New Field Discoveries 0 0 0 0 0 0 1981-2014 New Reservoir Discoveries in Old Fields 10 0 0 0 8 0 1981-2014 Estimated Production 40 27 21 22 14 10 1981

  15. TX, State Offshore Shale Gas Proved Reserves, Reserves Changes, and

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

    Production 2007 2008 2009 2010 View History Proved Reserves as of Dec. 31 0 0 0 0 2007-2010 Adjustments 0 0 2009-2010 Revision Increases 0 0 2009-2010 Revision Decreases 0 0 2009-2010 Sales 0 0 2009-2010 Acquisitions 0 0 2009-2010 Extensions 0 0 2009-2010 New Field Discoveries 0 0 2009-2010 New Reservoir Discoveries in Old Fields 0 0 2009-2010 Estimated Production 0 0 0 0 2007-2010

  16. RAPID/Roadmap/14-TX-b | Open Energy Information

    Open Energy Info (EERE)

    Wyoming. On October 9, 2015, the U.S. Court of Appeals for the Sixth Circuit issued a stay halting implementation of the new rule nationwide pending its own determination of its...

  17. TX, RRC District 3 Onshore Coalbed Methane Proved Reserves, Reserves...

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

    71 47 2005-2013 Adjustments 0 0 0 81 -17 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  18. TX, RRC District 10 Coalbed Methane Proved Reserves, Reserves...

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

    8 7 2005-2013 Adjustments 0 0 0 9 0 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  19. TX, RRC District 4 Onshore Coalbed Methane Proved Reserves, Reserves...

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

    1 1 2005-2013 Adjustments 0 0 0 1 0 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  20. TX, RRC District 2 Onshore Coalbed Methane Proved Reserves, Reserves...

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

    1 2 2005-2013 Adjustments 0 0 0 1 1 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  1. Rio Bravo, TX Natural Gas Exports to Mexico

    Gasoline and Diesel Fuel Update (EIA)

    62,914 74,790 75,026 78,196 76,154 81,837 1999-2015 Pipeline Prices 4.42 4.14 2.94 3.88 4.47 2.71

  2. Rio Grande, TX Natural Gas Exports to Mexico

    Gasoline and Diesel Fuel Update (EIA)

    2013 2014 2015 View History Pipeline Volumes 0 8,045 310,965 2013-2015 Pipeline Prices -- 4.42 2.85 2013

  3. TX, RRC District 1 Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    96 263 893 2,031 2,360 2,887 2009-2014 Adjustments -3 -20 7 -19 -60 83 2009-2014 Revision Increases 19 16 95 302 288 330 2009-2014 Revision Decreases 19 10 52 253 237 262 2009-2014 Sales 0 4 33 7 90 56 2009-2014 Acquisitions 0 9 33 6 123 86 2009-2014 Extensions 8 137 593 1,194 484 591 2009-2014 New Field Discoveries 4 54 29 19 2 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 2 8 11 18 2009-2014 Estimated Production 10 15 44 112 192 263

    398 2,399 5,910 8,868 7,784 11,945 1977-2014

  4. TX, RRC District 10 Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    523 2,599 6,127 9,141 8,118 12,431 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 1,456 2,332 5,227 6,516 4,442 7,733 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 67 267 900 2,625 3,676 4,698 1979-2014 Dry Natural Gas 1,398 2,399 5,910 8,868 7,784 11,945 Lease Separation

    456 2,332 5,227 6,516 4,442 7,733 1979-2014 Adjustments 5 -95 -42 20 120 -73 1979-2014 Revision Increases 110 430 2,184 1,620 702 3,462 1979-2014 Revision Decreases 110 331 116

  5. TX, RRC District 2 Onshore Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    7,594 8,484 8,373 8,007 7,744 8,354 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 6,984 7,915 7,475 7,073 6,660 7,140 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 610 569 898 934 1,084 1,214 1979-2014 Dry Natural Gas 6,882 7,663 7,513 7,253 7,034 7,454 Lease Separation

    6,984 7,915 7,475 7,073 6,660 7,140 1979-2014 Adjustments 223 -144 -5 213 23 233 1979-2014 Revision Increases 492 1,288 593 1,044 762 801 1979-2014 Revision Decreases 1,120 868

  6. TX, RRC District 3 Onshore Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    909 2,235 3,690 5,985 6,640 7,524 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 1,837 2,101 2,766 3,986 4,348 4,802 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 72 134 924 1,999 2,292 2,722 1979-2014 Dry Natural Gas 1,800 2,090 3,423 5,462 5,910 6,559 After Lease Separation

    837 2,101 2,766 3,986 4,348 4,802 1979-2014 Adjustments -101 18 153 15 -39 -1 1979-2014 Revision Increases 194 321 397 212 719 454 1979-2014 Revision Decreases 364 308 572

  7. TX, RRC District 4 Onshore Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    2,802 2,774 2,490 2,429 2,592 2,483 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 2,326 2,308 2,091 1,965 1,795 1,760 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 476 466 399 464 797 723 1979-2014 Dry Natural Gas 2,616 2,588 2,260 2,154 2,307 2,19 After Lease Separation

    2,326 2,308 2,091 1,965 1,795 1,760 1979-2014 Adjustments -105 56 -29 164 -99 52 1979-2014 Revision Increases 456 419 355 608 335 290 1979-2014 Revision Decreases 338 288 225 655

  8. TX, RRC District 5 Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    4 22 28 65 47 62 2009-2014 Adjustments -4 1 5 1 5 4 2009-2014 Revision Increases 5 3 8 11 1 3 2009-2014 Revision Decreases 1 3 3 3 22 7 2009-2014 Sales 0 0 6 0 0 19 2009-2014 Acquisitions 0 0 6 24 0 19 2009-2014 Extensions 1 0 0 9 4 21 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 3 3 4 5 6 6

    22,343 24,363 27,843 17,331 19,280 17,880 1977-2014 Adjustments 96 27 674 -1,078 269 -119 1977-2014 Revision

  9. TX, RRC District 6 Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    24 240 232 252 267 299 2009-2014 Adjustments 3 3 16 18 -37 19 2009-2014 Revision Increases 38 45 38 17 35 62 2009-2014 Revision Decreases 29 29 43 31 26 27 2009-2014 Sales 3 5 28 18 13 94 2009-2014 Acquisitions 4 11 21 23 26 80 2009-2014 Extensions 8 9 6 30 49 12 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 18 18 18 19 19 20

    12,795 14,886 15,480 11,340 11,655 11,516 1977-2014 Adjustments 423 403 296

  10. TX, RRC District 7B Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    102 102 126 134 113 148 2009-2014 Adjustments 9 4 -3 5 -37 39 2009-2014 Revision Increases 7 9 16 19 24 23 2009-2014 Revision Decreases 7 3 3 5 8 17 2009-2014 Sales 0 0 2 1 0 1 2009-2014 Acquisitions 1 0 27 1 10 0 2009-2014 Extensions 1 0 0 0 1 3 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 10 10 11 11 11 12

    2,077 2,242 3,305 2,943 2,787 2,290 1977-2014 Adjustments 63 68 -65 666 -162 -170 1977-2014

  11. TX, RRC District 7C Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    509 618 672 891 964 1,298 2009-2014 Adjustments 35 -10 8 63 -23 30 2009-2014 Revision Increases 55 69 77 66 162 363 2009-2014 Revision Decreases 25 37 118 139 271 421 2009-2014 Sales 7 56 56 13 9 14 2009-2014 Acquisitions 25 83 62 30 21 155 2009-2014 Extensions 69 88 121 254 227 309 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 6 0 8 29 0 2009-2014 Estimated Production 32 34 40 50 63 8

    4,827 4,787 4,475 4,890 4,800 6,422 1977-2014 Adjustments

  12. TX, RRC District 8 Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    985 2,254 2,709 3,304 3,356 4,142 2009-2014 Adjustments 10 -93 75 69 33 -16 2009-2014 Revision Increases 201 273 309 401 383 948 2009-2014 Revision Decreases 99 149 235 339 471 554 2009-2014 Sales 63 116 125 78 321 232 2009-2014 Acquisitions 87 315 253 242 270 302 2009-2014 Extensions 202 196 332 500 375 605 2009-2014 New Field Discoveries 0 0 2 3 0 0 2009-2014 New Reservoir Discoveries in Old Fields 4 1 0 2 11 16 2009-2014 Estimated Production 121 158 156 205 228 283

    6,672 7,206 7,039 7,738

  13. TX, RRC District 8A Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    790 1,822 1,800 1,758 1,736 1,668 2009-2014 Adjustments 19 21 13 10 27 37 2009-2014 Revision Increases 172 181 115 103 97 78 2009-2014 Revision Decreases 15 66 90 66 54 63 2009-2014 Sales 8 23 70 60 57 36 2009-2014 Acquisitions 24 12 102 49 51 17 2009-2014 Extensions 4 15 14 17 21 7 2009-2014 New Field Discoveries 1 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 1 13 0 0 2009-2014 Estimated Production 111 108 107 108 107 108

    1,218 1,164 1,226 1,214 1,269 1,257 1977-2014

  14. TX, RRC District 9 Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    49 155 181 177 195 209 2009-2014 Adjustments -24 13 -18 -7 37 20 2009-2014 Revision Increases 29 11 32 13 15 28 2009-2014 Revision Decreases 9 21 17 17 45 22 2009-2014 Sales 12 4 11 13 9 2 2009-2014 Acquisitions 22 10 22 11 15 4 2009-2014 Extensions 45 14 39 31 25 7 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 1 0 2009-2014 Estimated Production 15 17 21 22 21 21

    10,904 12,464 10,115 8,894 9,195 8,791 1977-2014 Adjustments 18 336 -110

  15. TX, State Offshore Coalbed Methane Proved Reserves, Reserves Changes, and

    Gasoline and Diesel Fuel Update (EIA)

    11,522 13,172 10,920 9,682 10,040 9,760 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 11,100 12,587 9,963 8,521 8,947 8,283 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 422 585 957 1,161 1,093 1,477 1979-2014 Dry Natural Gas 10,904 12,464 10,115 8,894 9,195 8,791 Lease Separation

    11,100 12,587 9,963 8,521 8,947 8,283 1979-2014 Adjustments 98 345 211 -609 407 102 1979-2014 Revision Increases 628 932 3,016 177 1,110 774 1979-2014 Revision

  16. TX, State Offshore Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    4 4 3 3 2 2 2009-2014 Adjustments -2 0 -2 1 -1 1 2009-2014 Revision Increases 1 0 3 0 0 1 2009-2014 Revision Decreases 0 0 2 1 0 2 2009-2014 Sales 0 0 0 0 0 0 2009-2014 Acquisitions 0 1 0 0 0 0 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 1 1 0 0 0

    64 131 118 94 59 42 1981-2014 Adjustments -29 11 -25 16 -13 -3 1981-2014 Revision Increases 29 20 75 16 9 18 1981-2014

  17. Freeport, TX Liquefied Natural Gas Exports to Brazil (Million...

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 2,581 8,142 0 2,664...

  18. Freeport, TX Liquefied Natural Gas Exports Price (Dollars per Thousand

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

    Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 10.31 11.16 13.45 15.51 15.7

  19. Freeport, TX Liquefied Natural Gas Exports Price (Dollars per Thousand

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

    Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 13.45 2014 15.51 2015 17.44 12.89 16.71 15.9

  20. RAPID/Roadmap/4-TX-a | Open Energy Information

    Open Energy Info (EERE)

    and written evidence confirming that it is not delinquent in paying its franchise taxes. The application to prospect must be accompanied by the appropriate filing fee....

  1. RAPID/Roadmap/7-TX-b | Open Energy Information

    Open Energy Info (EERE)

    defined in PUCT Substantive Rule 25.173(c) and must meet the requirements of 25.173. A power generating company may participate in the program and may generate RECs and buy or...

  2. RAPID/Roadmap/7-TX-c | Open Energy Information

    Open Energy Info (EERE)

    in this state a facility to provide retail electric utility service. If a power producer is not a "retail electric utility" then the developer is not required to obtain a...

  3. High Performance Builder Spotlight: GreenCraft, Lewisville, TX

    SciTech Connect (OSTI)

    2011-01-01

    In October and November 2009, the TimberCreek Zero Energy House in Lewisville, Texas, opened as a Building America Demonstration House. The 2,538-foot,three-bedroom, 2½-bath custom-built home showed a home energy rating score (HERS) of 56 without the solar photovoltaics and a HERS score of 1 with PV.

  4. TX, State Offshore Nonassociated Natural Gas Proved Reserves...

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

    161 128 113 88 56 42 1981-2014 Adjustments -29 -7 -24 7 -10 -2 1981-2014 Revision Increases 29 20 70 14 9 17 1981-2014 Revision Decreases 21 35 65 9 19 19 1981-2014 Sales 3 20 2 23 ...

  5. TX, State Offshore Lease Condensate Proved Reserves, Reserve...

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

    3 2 1 1 1 1 1981-2014 Adjustments -1 0 -1 0 0 1 2009-2014 Revision Increases 1 0 1 0 0 0 2009-2014 Revision Decreases 0 0 1 0 0 1 2009-2014 Sales 0 0 0 0 0 0 2009-2014 Acquisitions ...

  6. RAPID/Roadmap/1-TX-a | Open Energy Information

    Open Energy Info (EERE)

    Land use planning in Texas is delegated to municipalities. 01TXALandUsePlanning.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  7. RAPID/Roadmap/19-TX-d | Open Energy Information

    Open Energy Info (EERE)

    Quality (TCEQ) handles transfers of surface water rights. 19TXDTransferOfWaterRight.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number...

  8. Laredo, TX Liquefied Natural Gas Exports to Mexico (Dollars per...

    Gasoline and Diesel Fuel Update (EIA)

    to Mexico (Dollars per Thousand Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2015 16.950 - No Data Reported; -- Not Applicable; NA Not Available; W ...

  9. Laredo, TX Liquefied Natural Gas Exports Price (Dollars per Thousand...

    Gasoline and Diesel Fuel Update (EIA)

    Price (Dollars per Thousand Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2015 17 - No Data Reported; -- Not Applicable; NA Not Available; W ...

  10. Laredo, TX Liquefied Natural Gas Exports (Million Cubic Feet...

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

    Natural Gas Exports (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2015 1 - No Data Reported; -- Not Applicable; NA Not Available; W Withheld...

  11. RAPID/Roadmap/3-TX-b | Open Energy Information

    Open Energy Info (EERE)

    following: A diagram of the project showing all structures and dimensions; A copy of a tax statement as proof of ownership of littoral property; A vicinity map showing project...

  12. RAPID/Roadmap/3-TX-a | Open Energy Information

    Open Energy Info (EERE)

    Act Lands' are defined in the Texas Administrative Code as "any public free school or asylum lands, whether surveyed or unsurveyed, sold with a mineral classification or...

  13. Transactive Controls R&D (Tx-R&D)

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

    ... and communication technologies (ICT). - Most common signal is economics based: ... ICT & related physical hardware) that allow applications to be programmed and negotiate...

  14. RAPID/Roadmap/8-TX-f | Open Energy Information

    Open Energy Info (EERE)

    of the total load of the secondary network under consideration; The TDU may postpone processing an application for an individual distributed generation facility if the total...

  15. DOE - Office of Legacy Management -- Falls City Mill Site - TX...

    Office of Legacy Management (LM)

    Also see Falls City, Texas, Disposal Site Documents Related to Falls City Mill Site Data Validation Package for the April 2009 Groundwater Sampling at the Falls City, Texas, ...

  16. RAPID/Roadmap/3-TX-g | Open Energy Information

    Open Energy Info (EERE)

    must report on the status of the exploration, development, and production of geothermal energy and associated resources under the land governed by Tex. Nat. Rec. Code Sec. 141...

  17. Alamo, TX Natural Gas Imports by Pipeline from Mexico

    Gasoline and Diesel Fuel Update (EIA)

    Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2009 2010 2011 2012 2013 2014 View History Pipeline Volumes 13,279 4,685 0 0 0 0 1998-2014 Pipeline Prices 4.10 4.30 -- -- -- -- 1998-2014

  18. Del Rio, TX Natural Gas Exports to Mexico

    Gasoline and Diesel Fuel Update (EIA)

    320 282 355 372 324 306 2006-2015 Pipeline Prices 5.92 5.53 4.33 4.69 5.35 3.59 200

  19. Eagle Pass, TX Natural Gas Exports to Mexico

    Gasoline and Diesel Fuel Update (EIA)

    1,471 2,114 2,970 2,608 3,801 4,282 1996-2015 Pipeline Prices 5.13 4.57 3.41 4.37 5.18 3.78

  20. El Paso, TX Natural Gas Exports to Mexico

    Gasoline and Diesel Fuel Update (EIA)

    Administration (EIA) definitions English FranÇais Español A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Browse terms related to these categories: border crossing electricity border crossing gas border crossing liquid liquefied natural gas terminals natural gas processing plants power plants refineries See index of all terms A

    Referencia cruzada de definición English FranÇais Español A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Explorar los términos relacionados con las

  1. El Paso, TX Natural Gas Imports by Pipeline from Mexico

    Gasoline and Diesel Fuel Update (EIA)

    Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 1998 1999 2000 2001 2002 View History Pipeline Volumes 996 NA NA NA NA 1998-2002 Pipeline Prices 2.09 1998-1998

  2. Galvan Ranch, TX Natural Gas Imports by Pipeline from Mexico

    Gasoline and Diesel Fuel Update (EIA)

    225 501 314 1,046 1,426 933 2007-2015 Pipeline Prices 3.52 3.12 1.87 2.66 3.45 1.71 2007

  3. McAllen, TX Natural Gas Exports to Mexico

    Gasoline and Diesel Fuel Update (EIA)

    0,627 56,569 68,425 78,000 79,396 61,402 1998-2015 Pipeline Prices 4.52 4.19 2.95 3.84 4.62 2.85 1998

  4. Penitas, TX Natural Gas Imports by Pipeline from Mexico

    Gasoline and Diesel Fuel Update (EIA)

    Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 1996 1998 1999 2000 2001 2002 View History Pipeline Volumes 253 40 NA NA NA NA 1996-2002 Pipeline Prices 1.72 2.04 1996-1998

  5. RAPID/Roadmap/14-TX-a | Open Energy Information

    Open Energy Info (EERE)

    specifically CWA 319(b). The Management Program outlines Texas' comprehensive strategy to protect and restore water quality impacted by nonpoint sources of pollution....

  6. RAPID/Roadmap/3-TX-f | Open Energy Information

    Open Energy Info (EERE)

    address of the surface owner of record in the tax assessor's office; The name, address, phone number, and taxpayer ID number of a non-corporate applicant; The corporate name,...

  7. RAPID/Roadmap/3-TX-d | Open Energy Information

    Open Energy Info (EERE)

    in the section, and county or counties in which the land lies; The name, address, phone number, and taxpayer ID number of a non-corporate applicant; The corporate name,...

  8. RAPID/Roadmap/19-TX-c | Open Energy Information

    Open Energy Info (EERE)

    post-office address of the applicant; Identify the source of water supply; State the nature and purposes of the proposed use or uses and the amount of water to be used for each...

  9. RAPID/Roadmap/7-TX-a | Open Energy Information

    Open Energy Info (EERE)

    is intended to be sold at wholesale, including the owner or operator of electric energy storage equipment or facilities to which the Public Utility Regulatory Act applies; Does...

  10. Price Liquefied Freeport, TX Natural Gas Exports to India (Dollars...

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's -- -- -- 2010's 7.56 8.66 11.10 -- --

  11. TX, State Offshore Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    2007 2008 2009 2010 View History Proved Reserves as of Dec. 31 0 0 0 0 2007-2010 Adjustments 0 0 2009-2010 Revision Increases 0 0 2009-2010 Revision Decreases 0 0 2009-2010 Sales...

  12. TX, RRC District 5 Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    13,691 16,032 19,747 11,513 13,592 2007-2013 Adjustments 657 105 233 -516 -70 2009-2013 Revision Increases 928 643 3,094 30 2,922 2009-2013 Revision Decreases 587 405 1,405 6,895...

  13. TX, RRC District 8 Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    48 24 90 61 583 649 2007-2013 Adjustments -1 53 -79 249 -21 2009-2013 Revision Increases 2 20 45 19 121 2009-2013 Revision Decreases 22 0 12 47 112 2009-2013 Sales 0 0 0 19 50...

  14. TX, RRC District 1 Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    2 435 1,564 5,123 8,340 7,357 2007-2013 Adjustments 5 8 0 47 315 2009-2013 Revision Increases 1 322 2,141 1,852 1,083 2009-2013 Revision Decreases 0 251 48 1,272 2,818 2009-2013...

  15. TX, RRC District 6 Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    73 1,161 4,381 6,584 4,172 4,633 2007-2013 Adjustments 40 1,968 26 -225 564 2009-2013 Revision Increases 422 1,206 2,322 999 513 2009-2013 Revision Decreases 8 1,319 1,860 2,907...

  16. TX, RRC District 3 Onshore Shale Gas Proved Reserves, Reserves...

    Gasoline and Diesel Fuel Update (EIA)

    0 0 1 6 24 2007-2013 Adjustments 0 0 1 1 -3 2009-2013 Revision Increases 0 0 0 1 2 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 4 2009-2013 Acquisitions 0 0 0 2 0...

  17. TX, RRC District 4 Onshore Shale Gas Proved Reserves, Reserves...

    Gasoline and Diesel Fuel Update (EIA)

    78 565 2,611 3,091 4,377 2007-2013 Adjustments 53 0 185 300 592 2009-2013 Revision Increases 0 66 792 253 174 2009-2013 Revision Decreases 0 12 295 1,160 819 2009-2013 Sales 0 0 75...

  18. TX, RRC District 9 Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    10,756 12,573 10,276 9,260 9,580 2007-2013 Adjustments 179 533 42 -483 378 2009-2013 Revision Increases 580 1,044 3,005 200 1,092 2009-2013 Revision Decreases 469 191 5,864...

  19. TX, RRC District 2 Onshore Shale Gas Proved Reserves, Reserves...

    Gasoline and Diesel Fuel Update (EIA)

    2010 2011 2012 2013 View History Proved Reserves as of Dec. 31 395 1,692 4,743 5,595 2010-2013 Adjustments 6 237 494 40 2010-2013 Revision Increases 6 388 326 839 2010-2013...

  20. TX, RRC District 10 Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    0 0 0 0 37 37 2007-2013 Adjustments 0 0 -1 11 6 2009-2013 Revision Increases 0 0 0 31 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 1 2009-2013 Acquisitions 0 0...

  1. RAPID/Roadmap/8-TX-a | Open Energy Information

    Open Energy Info (EERE)

    a Certificate of Convenience and Necessity (CCN). However, minor modifications and maintenance to an existing transmission system may not need a CCN. 08TXATransmissionSiting.pdf...

  2. RAPID/Roadmap/8-TX-b | Open Energy Information

    Open Energy Info (EERE)

    This flowchart illustrates the procedures for interconnection with Electricity Reliability Council of Texas (ERCOT) in Texas. According to PUCT Substantive Rule 25.198, the...

  3. RAPID/Roadmap/3-TX-c | Open Energy Information

    Open Energy Info (EERE)

    c < RAPID | Roadmap Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower Solar Tools...

  4. ,"TX, RRC District 10 Lease Condensate Proved Reserves, Reserve...

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

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  5. ,"TX, RRC District 10 Crude Oil plus Lease Condensate Proved...

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

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  6. ,"TX, RRC District 1 Lease Condensate Proved Reserves, Reserve...

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

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  7. ,"TX, RRC District 5 Lease Condensate Proved Reserves, Reserve...

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

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  8. ,"TX, RRC District 3 Onshore Lease Condensate Proved Reserves...

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

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  9. ,"TX, RRC District 8A Lease Condensate Proved Reserves, Reserve...

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

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  10. ,"TX, RRC District 4 Onshore Crude Oil plus Lease Condensate...

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

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  11. ,"TX, RRC District 7B Lease Condensate Proved Reserves, Reserve...

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

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  12. ,"TX, RRC District 3 Onshore Crude Oil plus Lease Condensate...

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

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  13. ,"TX, State Offshore Crude Oil plus Lease Condensate Proved Reserves...

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

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  14. ,"TX, State Offshore Lease Condensate Proved Reserves, Reserve...

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

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  15. ,"TX, RRC District 4 Onshore Lease Condensate Proved Reserves...

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

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  16. ,"TX, RRC District 9 Lease Condensate Proved Reserves, Reserve...

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

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  17. ,"TX, RRC District 8 Lease Condensate Proved Reserves, Reserve...

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

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  18. ,"TX, RRC District 2 Onshore Lease Condensate Proved Reserves...

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

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  19. ,"TX, RRC District 6 Lease Condensate Proved Reserves, Reserve...

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

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  20. ,"TX, RRC District 2 Onshore Crude Oil plus Lease Condensate...

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

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  1. ,"TX, RRC District 7C Lease Condensate Proved Reserves, Reserve...

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

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  2. RAPID/Roadmap/18-TX-a | Open Energy Information

    Open Energy Info (EERE)

    used in connection with an activity associated with the exploration, development, or production of oil, gas, or geothermal resources, or any other activity regulated by the...

  3. RAPID/Roadmap/5-TX-a | Open Energy Information

    Open Energy Info (EERE)

    for exploratory wells, commercial drilling operations, geothermal wells, and co-production wells. A geothermal resource well is a well drilled within the established...

  4. RAPID/Roadmap/14-TX-c | Open Energy Information

    Open Energy Info (EERE)

    A reservoir is considered to be in a productive reservoir if there is any current or past production of oil, gas, or geothermal resources within 2 mile radius of the proposed well...

  5. RAPID/Roadmap/13-TX-a | Open Energy Information

    Open Energy Info (EERE)

    15.3(d)). Note: Under the Beach Dune Rules Sec. 15.3(s)(2)(a) the exploration for and production of oil and gas is exempted from the Dune Protection permit requirement. If the...

  6. Alamo, TX Natural Gas Imports by Pipeline from Mexico

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

    3,678 27,479 48,850 72,039 76,111 78,866 1998-2014 Pipeline Prices 3.95 4.50 4.10 2.86 3.81 4.63 1998...

  7. Albany, OR * Fairbanks, AK * Morgantown, WV * Pittsburgh, PA * Houston, TX

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

    NETL R&D Tackles Technological Challenges of the Williston Basin's Bakken Formation Recent development of the Bakken Formation in the Williston Basin of western North Dakota and eastern Montana is a good example of persistent analysis of geologic data and adaptation of new completion technologies overcoming the challenges posed by unconventional reservoirs. However, as with most unconventional plays, as Bakken development continues, questions regarding exactly how to refine newly applied

  8. RAPID/Roadmap/14-TX-e | Open Energy Information

    Open Energy Info (EERE)

    Publication. If the pit is in a wetland, submit a copy of the Army Corp of Engineers Wetlands Permit or Permit Application. Note: In addition to requirements listed by the RRC,...

  9. Photoelectron imaging and theoretical study on the structure and chemical binding of the mixed-ligand M(I) complexes, [HMSH]{sup ?} (M = Cu, Ag, and Au)

    SciTech Connect (OSTI)

    Qin, Zhengbo; Liu, Zhiling; Cong, Ran; Xie, Hua; Tang, Zichao, E-mail: zctang@dicp.ac.cn, E-mail: fanhj@dicp.ac.cn; Fan, Hongjun, E-mail: zctang@dicp.ac.cn, E-mail: fanhj@dicp.ac.cn [State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023 (China)] [State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023 (China)

    2014-03-21

    We have reported a combined photoelectron imaging and theoretical study on gaseous mixed-ligand M(I) complexes of [HMSH]{sup ?} (M = Cu, Ag, and Au). With the aid of Franck-Condon simulations, vibrationally resolved photoelectron spectra yield accurate electron affinities of 3.269(6), 3.669(10), and 3.591(6) eV for [HCuSH], [HAgSH], and [HAuSH], respectively. And low-frequency modes are observed: 368(12) cm{sup ?1} for [HCuSH], 286(12) cm{sup ?1} for [HAgSH], and 327(12) cm{sup ?1} for [HAuSH], respectively. Extensive theoretical calculations are performed to aid in the spectral assignments and the calculated values agree well with the experimental observations. Although the S and H atoms have little discrepancy in electronegativity (2.20 for H and 2.54 for S), distinct bonding properties are demonstrated between HM and MS bond. It is revealed that there exists significant ionic bonding between MS in [HMSH]{sup ?} (M = Cu, Ag, and Au), while a gradual transition from ionic behavior between HCu in [HCuSH]{sup ?} to quite strong covalent bonding between HAu in [HAuSH]{sup ?}, supported by a variety of chemical bonding analyses.

  10. Improved Measurement of the <mi>?>?<mi mathvariant='normal'>emi>?> Branching Ratio

    SciTech Connect (OSTI)

    Aguilar-Arevalo, A.; Aoki, M.; Blecher, M.; Britton, D. I.; Bryman, D. A.; vom Bruch, D.; Chen, S.; Comfort, J.; Ding, M.; Doria, L.; Cuen-Rochin, S.; Gumplinger, P.; Hussein, A.; Igarashi, Y.; Ito, S.; Kettell, S. H.; Kurchaninov, L.; Littenberg, L. S.; Malbrunot, C.; Mischke, R. E.; Numao, T.; Protopopescu, D.; Sher, A.; Sullivan, T.; Vavilov, D.; Yamada, K.

    2015-08-01

    A new measurement of the branching ratio Re/?=?(?+ ? e+? + ?+ ? e+??)/?(?+ ? ?+? + ?+??+??) resulted in Rexpe/?=[1.23440.0023(stat)0.0019(syst)] x 10-4. This is in agreement with the standard model prediction and improves the test of electron-muon universality to the level of 0.1%.

  11. EV Community Readiness projects: Center for the Commercialization of Electric Technologies (TX); City of Austin, Austin Energy (TX)

    Broader source: Energy.gov [DOE]

    2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

  12. U.S. Energy Information Administration | Annual Coal Report 2014

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

    5. Coal Consumers in the Manufacturing and Coke Sectors, 2014 Company Name Plant Location Top Ten Manufacturers American Crystal Sugar Co MN, ND Archer Daniels Midland IA, IL, MN, NE Carmeuse Lime Stone Inc AL, IN, KY, MI, OH, PA, TN, WI Cemex Inc AL, CA, CO, FL, GA, KY, OH, TN, TX Dakota Gasification Company ND Eastman Chemical Company TN Georgia-Pacific Consumer Products LP AL, GA, OK, VA, WI Holcim (US) Inc AL, CO, MD, MO, MT, OK, SC, TX, UT NewPage Corporation MD, MI, WI U S Steel

  13. Comparative proteomic analysis of Desulfotomaculum reducens MI-1: Insights into the metabolic versatility of a gram-positive sulfate- and metal-reducing bacterium

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

    Otwell, Anne E.; Callister, Stephen J.; Zink, Erika M.; Smith, Richard D.; Richardson, Ruth E.

    2016-02-19

    In this study, the proteomes of the metabolically versatile and poorly characterized Gram-positive bacterium Desulfotomaculum reducens MI-1 were compared across four cultivation conditions including sulfate reduction, soluble Fe(III) reduction, insoluble Fe(III) reduction, and pyruvate fermentation. Collectively across conditions, we observed at high confidence ~38% of genome-encoded proteins. Here, we focus on proteins that display significant differential abundance on conditions tested. To the best of our knowledge, this is the first full-proteome study focused on a Gram-positive organism cultivated either on sulfate or metal-reducing conditions. Several proteins with uncharacterized function encoded within heterodisulfide reductase (hdr)-containing loci were upregulated on either sulfatemore » (Dred_0633-4, Dred_0689-90, and Dred_1325-30) or Fe(III)-citrate-reducing conditions (Dred_0432-3 and Dred_1778-84). Two of these hdr-containing loci display homology to recently described flavin-based electron bifurcation (FBEB) pathways (Dred_1325-30 and Dred_1778-84). Additionally, we propose that a cluster of proteins, which is homologous to a described FBEB lactate dehydrogenase (LDH) complex, is performing lactate oxidation in D. reducens (Dred_0367-9). Analysis of the putative sulfate reduction machinery in D. reducens revealed that most of these proteins are constitutively expressed across cultivation conditions tested. In addition, peptides from the single multiheme c-type cytochrome (MHC) in the genome were exclusively observed on the insoluble Fe(III) condition, suggesting that this MHC may play a role in reduction of insoluble metals.« less

  14. Identification of proteins capable of metal reduction from the proteome of the Gram-positive bacterium Desulfotomaculum reducens MI-1 using an NADH-based activity assay

    SciTech Connect (OSTI)

    Otwell, Annie E.; Sherwood, Roberts; Zhang, Sheng; Nelson, Ornella D.; Li, Zhi; Lin, Hening; Callister, Stephen J.; Richardson, Ruth E.

    2015-01-01

    Metal reduction capability has been found in numerous species of environmentally abundant Gram-positive bacteria. However, understanding of microbial metal reduction is based almost solely on studies of Gram-negative organisms. In this study, we focus on Desulfotomaculum reducens MI-1, a Gram-positive metal reducer whose genome lacks genes with similarity to any characterized metal reductase. D. reducens has been shown to reduce not only Fe(III), but also the environmentally important contaminants U(VI) and Cr(VI). By extracting, separating, and analyzing the functional proteome of D. reducens, using a ferrozine-based assay in order to screen for chelated Fe(III)-NTA reduction with NADH as electron donor, we have identified proteins not previously characterized as iron reductases. Their function was confirmed by heterologous expression in E. coli. These are the protein NADH:flavin oxidoreductase (Dred_2421) and a protein complex composed of oxidoreductase FAD/NAD(P)-binding subunit (Dred_1685) and dihydroorotate dehydrogenase 1B (Dred_1686). Dred_2421 was identified in the soluble proteome and is predicted to be a cytoplasmic protein. Dred_1685 and Dred_1686 were identified in both the soluble as well as the insoluble (presumably membrane) protein fraction, suggesting a type of membrane-association, although PSORTb predicts both proteins are cytoplasmic. Furthermore, we show that these proteins have the capability to reduce soluble Cr(VI) and U(VI) with NADH as electron donor. This study is the first functional proteomic analysis of D. reducens, and one of the first analyses of metal and radionuclide reduction in an environmentally relevant Gram-positive bacterium.

  15. Resonant <mi>?+?>?<mi>?+?>0 amplitude from Quantum Chromodynamics

    SciTech Connect (OSTI)

    Briceo, Ral A.; Dudek, Jozef J.; Edwards, Robert G.; Shultz, Christian J.; Thomas, Christopher E.; Wilson, David J.

    2015-12-08

    We present the first ab initio calculation of a radiative transition of a hadronic resonance within Quantum Chromodynamics (QCD). We compute the amplitude for $\\pi\\pi \\to \\pi\\gamma^\\star$, as a function of the energy of the $\\pi\\pi$ pair and the virtuality of the photon, in the kinematic regime where $\\pi\\pi$ couples strongly to the unstable $\\rho$ resonance. This exploratory calculation is performed using a lattice discretization of QCD with quark masses corresponding to $m_\\pi \\approx 400$ MeV. As a result, we obtain a description of the energy dependence of the transition amplitude, constrained at 48 kinematic points, that we can analytically continue to the $\\rho$ pole and identify from its residue the $\\rho \\to \\pi\\gamma^\\star$ form-factor.

  16. Onset of radial flow in <mi>p+p> collisions

    SciTech Connect (OSTI)

    Jiang, Kun; Zhu, Yinying; Liu, Weitao; Chen, Hongfang; Li, Cheng; Ruan, Lijuan; Tang, Zebo; Xu, Zhangbu

    2015-02-23

    It has been debated for decades whether hadrons emerging from p+p collisions exhibit collective expansion. The signal of the collective motion in p+p collisions is not as clear as in heavy-ion collisions because of the low multiplicity and large fluctuation in p+p collisions. Tsallis Blast-Wave (TBW) model is a thermodynamic approach, introduced to handle the overwhelming correlation and fluctuation in the hadronic processes. We have systematically studied the identified particle spectra in p+p collisions from RHIC to LHC using TBW and found no appreciable radial flow in p+p collisions below √s = 900 GeV. At LHC higher energy of 7 TeV in p+p collisions, the radial flow velocity achieves an average of (β) = 0.320 ± 0.005. This flow velocity is comparable to that in peripheral (40-60%) Au+Au collisions at RHIC. In addition, breaking of the identified particle spectra mT scaling was also observed at LHC from a model independent test.

  17. US ENC MI Site Consumption

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

    Energy Consumption Survey www.eia.govconsumptionresidential Space heating Water heating Air conditioning Appliances, electronics, lighting Household Energy Use in Michigan ...

  18. MI_07-5.pdf

    Office of Legacy Management (LM)

  19. Centrality dependence of low-momentum direct-photon production in <mi>Au+Au> collisions at <mi>s mathvariant='italic'>Nmi>N>=200 <mi>GeV>

    SciTech Connect (OSTI)

    Adare, A.; Afanasiev, S.; Aidala, C.; Ajitanand, N. N.; Akiba, Y.; Akimoto, R.; Al-Bataineh, H.; Al-Ta'ani, H.; Alexander, J.; Angerami, A.; Aoki, K.; Apadula, N.; Aramaki, Y.; Asano, H.; Aschenauer, E. C.; Atomssa, E. T.; Averbeck, R.; Awes, T. C.; Azmoun, B.; Babintsev, V.; Bai, M.; Baksay, G.; Baksay, L.; Bannier, B.; Barish, K. N.; Bassalleck, B.; Basye, A. T.; Bathe, S.; Baublis, V.; Baumann, C.; Baumgart, S.; Bazilevsky, A.; Belikov, S.; Belmont, R.; Bennett, R.; Berdnikov, A.; Berdnikov, Y.; Bickley, A. A.; Bing, X.; Blau, D. S.; Bok, J. S.; Boyle, K.; Brooks, M. L.; Buesching, H.; Bumazhnov, V.; Bunce, G.; Butsyk, S.; Camacho, C. M.; Campbell, S.; Castera, P.; Chen, C. -H.; Chi, C. Y.; Chiu, M.; Choi, I. J.; Choi, J. B.; Choi, S.; Choudhury, R. K.; Christiansen, P.; Chujo, T.; Chung, P.; Chvala, O.; Cianciolo, V.; Citron, Z.; Cole, B. A.; Connors, M.; Constantin, P.; Csanád, M.; Csörgő, T.; Dahms, T.; Dairaku, S.; Danchev, I.; Das, K.; Datta, A.; Daugherity, M. S.; David, G.; Denisov, A.; Deshpande, A.; Desmond, E. J.; Dharmawardane, K. V.; Dietzsch, O.; Ding, L.; Dion, A.; Donadelli, M.; Drapier, O.; Drees, A.; Drees, K. A.; Durham, J. M.; Durum, A.; Dutta, D.; D'Orazio, L.; Edwards, S.; Efremenko, Y. V.; Ellinghaus, F.; Engelmore, T.; Enokizono, A.; En'yo, H.; Esumi, S.; Eyser, K. O.; Fadem, B.; Fields, D. E.; Finger, M.; Finger, M.; Fleuret, F.; Fokin, S. L.; Fraenkel, Z.; Frantz, J. E.; Franz, A.; Frawley, A. D.; Fujiwara, K.; Fukao, Y.; Fusayasu, T.; Gainey, K.; Gal, C.; Garishvili, A.; Garishvili, I.; Glenn, A.; Gong, H.; Gong, X.; Gonin, M.; Goto, Y.; Granier de Cassagnac, R.; Grau, N.; Greene, S. V.; Grosse Perdekamp, M.; Gunji, T.; Guo, L.; Gustafsson, H. -Å.; Hachiya, T.; Haggerty, J. S.; Hahn, K. I.; Hamagaki, H.; Hamblen, J.; Han, R.; Hanks, J.; Hartouni, E. P.; Hashimoto, K.; Haslum, E.; Hayano, R.; He, X.; Heffner, M.; Hemmick, T. K.; Hester, T.; Hill, J. C.; Hohlmann, M.; Hollis, R. S.; Holzmann, W.; Homma, K.; Hong, B.; Horaguchi, T.; Hori, Y.; Hornback, D.; Huang, S.; Ichihara, T.; Ichimiya, R.; Ide, J.; Iinuma, H.; Ikeda, Y.; Imai, K.; Imrek, J.; Inaba, M.; Iordanova, A.; Isenhower, D.; Ishihara, M.; Isobe, T.; Issah, M.; Isupov, A.; Ivanischev, D.; Ivanishchev, D.; Jacak, B. V.; Javani, M.; Jia, J.; Jiang, X.; Jin, J.; Johnson, B. M.; Joo, K. S.; Jouan, D.; Jumper, D. S.; Kajihara, F.; Kametani, S.; Kamihara, N.; Kamin, J.; Kaneti, S.; Kang, B. H.; Kang, J. H.; Kang, J. S.; Kapustinsky, J.; Karatsu, K.; Kasai, M.; Kawall, D.; Kawashima, M.; Kazantsev, A. V.; Kempel, T.; Khanzadeev, A.; Kijima, K. M.; Kim, B. I.; Kim, C.; Kim, D. H.; Kim, D. J.; Kim, E.; Kim, E. -J.; Kim, H. J.; Kim, K. -B.; Kim, S. H.; Kim, Y. -J.; Kim, Y. K.; Kinney, E.; Kiriluk, K.; Kiss, Á.; Kistenev, E.; Klatsky, J.; Kleinjan, D.; Kline, P.; Kochenda, L.; Komatsu, Y.; Komkov, B.; Konno, M.; Koster, J.; Kotchetkov, D.; Kotov, D.; Kozlov, A.; Král, A.; Kravitz, A.; Krizek, F.; Kunde, G. J.; Kurita, K.; Kurosawa, M.; Kwon, Y.; Kyle, G. S.; Lacey, R.; Lai, Y. S.; Lajoie, J. G.; Lebedev, A.; Lee, B.; Lee, D. M.; Lee, J.; Lee, K.; Lee, K. B.; Lee, K. S.; Lee, S. H.; Lee, S. R.; Leitch, M. J.; Leite, M. A. L.; Leitgab, M.; Leitner, E.; Lenzi, B.; Lewis, B.; Li, X.; Liebing, P.; Lim, S. H.; Linden Levy, L. A.; Liška, T.; Litvinenko, A.; Liu, H.; Liu, M. X.; Love, B.; Luechtenborg, R.; Lynch, D.; Maguire, C. F.; Makdisi, Y. I.; Makek, M.; Malakhov, A.; Malik, M. D.; Manion, A.; Manko, V. I.; Mannel, E.; Mao, Y.; Masui, H.; Masumoto, S.; Matathias, F.; McCumber, M.; McGaughey, P. L.; McGlinchey, D.; McKinney, C.; Means, N.; Mendoza, M.; Meredith, B.; Miake, Y.; Mibe, T.; Mignerey, A. C.; Mikeš, P.; Miki, K.; Milov, A.; Mishra, D. K.; Mishra, M.; Mitchell, J. T.; Miyachi, Y.; Miyasaka, S.; Mohanty, A. K.; Moon, H. J.; Morino, Y.; Morreale, A.; Morrison, D. P.; Motschwiller, S.; Moukhanova, T. V.; Murakami, T.; Murata, J.; Nagae, T.; Nagamiya, S.; Nagle, J. L.; Naglis, M.; Nagy, M. I.; Nakagawa, I.; Nakamiya, Y.; Nakamura, K. R.; Nakamura, T.; Nakano, K.; Nattrass, C.; Nederlof, A.; Newby, J.; Nguyen, M.; Nihashi, M.; Nouicer, R.; Novitzky, N.; Nyanin, A. S.; O'Brien, E.; Oda, S. X.; Ogilvie, C. A.; Oka, M.; Okada, K.; Onuki, Y.; Oskarsson, A.; Ouchida, M.; Ozawa, K.; Pak, R.; Pantuev, V.; Papavassiliou, V.; Park, B. H.; Park, I. H.; Park, J.; Park, S. K.; Park, W. J.; Pate, S. F.; Patel, L.; Pei, H.; Peng, J. -C.; Pereira, H.; Peresedov, V.; Peressounko, D. Yu.; Petti, R.; Pinkenburg, C.; Pisani, R. P.; Proissl, M.; Purschke, M. L.; Purwar, A. K.; Qu, H.; Rak, J.; Rakotozafindrabe, A.; Ravinovich, I.; Read, K. F.; Reygers, K.; Reynolds, D.; Riabov, V.; Riabov, Y.; Richardson, E.; Riveli, N.; Roach, D.; Roche, G.; Rolnick, S. D.; Rosati, M.; Rosen, C. A.; Rosendahl, S. S. E.; Rosnet, P.; Rukoyatkin, P.; Ružička, P.; Sahlmueller, B.; Saito, N.; Sakaguchi, T.; Sakashita, K.; Samsonov, V.; Sano, M.; Sano, S.; Sarsour, M.; Sato, T.; Sawada, S.; Sedgwick, K.; Seele, J.; Seidl, R.; Semenov, A. Yu.; Sen, A.; Seto, R.; Sharma, D.; Shein, I.; Shibata, T. -A.; Shigaki, K.; Shimomura, M.; Shoji, K.; Shukla, P.; Sickles, A.; Silva, C. L.; Silvermyr, D.; Silvestre, C.; Sim, K. S.; Singh, B. K.; Singh, C. P.; Singh, V.; Slunečka, M.; Soltz, R. A.; Sondheim, W. E.; Sorensen, S. P.; Soumya, M.; Sourikova, I. V.; Sparks, N. A.; Stankus, P. W.; Stenlund, E.; Stepanov, M.; Ster, A.; Stoll, S. P.; Sugitate, T.; Sukhanov, A.; Sun, J.; Sziklai, J.; Takagui, E. M.; Takahara, A.; Taketani, A.; Tanabe, R.; Tanaka, Y.; Taneja, S.; Tanida, K.; Tannenbaum, M. J.; Tarafdar, S.; Taranenko, A.; Tarján, P.; Tennant, E.; Themann, H.; Thomas, T. L.; Todoroki, T.; Togawa, M.; Toia, A.; Tomášek, L.; Tomášek, M.; Torii, H.; Towell, R. S.; Tserruya, I.; Tsuchimoto, Y.; Tsuji, T.; Vale, C.; Valle, H.; van Hecke, H. W.; Vargyas, M.; Vazquez-Zambrano, E.; Veicht, A.; Velkovska, J.; Vértesi, R.; Vinogradov, A. A.; Virius, M.; Vossen, A.; Vrba, V.; Vznuzdaev, E.; Wang, X. R.; Watanabe, D.; Watanabe, K.; Watanabe, Y.; Watanabe, Y. S.; Wei, F.; Wei, R.; Wessels, J.; Whitaker, S.; White, S. N.; Winter, D.; Wolin, S.; Wood, J. P.; Woody, C. L.; Wright, R. M.; Wysocki, M.; Xie, W.; Yamaguchi, Y. L.; Yamaura, K.; Yang, R.; Yanovich, A.; Ying, J.; Yokkaichi, S.; You, Z.; Young, G. R.; Younus, I.; Yushmanov, I. E.; Zajc, W. A.; Zelenski, A.; Zhang, C.; Zhou, S.; Zolin, L.

    2015-06-05

    The PHENIX experiment at RHIC has measured the centrality dependence of the direct photon yield from Au+Au collisions at √sNN = 200 GeV down to pT = 0.4 GeV/c. Photons are detected via photon conversions to e⁺e⁻ pairs and an improved technique is applied that minimizes the systematic uncertainties that usually limit direct photon measurements, in particular at low pT . We find an excess of direct photons above the Ncoll-scaled yield measured in p+p collisions. This excess yield is well described by an exponential distribution with an inverse slope of about 240 MeV/c in the pT range from 0.6–2.0 GeV/c. In this study, while the shape of the pT distribution is independent of centrality within the experimental uncertainties, the yield increases rapidly with increasing centrality, scaling approximately with N α part, where α = 1.38±0.03(stat)±0.07(syst).

  20. Cross section for <mi>b><mi>b>¯ production via dielectrons in <mi>d> + Au collisions at <mi>smi><mi>Nmi>N>=200 GeV

    SciTech Connect (OSTI)

    Adare, A.; Aidala, C.; Ajitanand, N. N.; Akiba, Y.; Al-Bataineh, H.; Alexander, J.; Angerami, A.; Aoki, K.; Apadula, N.; Aramaki, Y.; Atomssa, E. T.; Averbeck, R.; Awes, T. C.; Azmoun, B.; Babintsev, V.; Bai, M.; Baksay, G.; Baksay, L.; Barish, K. N.; Bassalleck, B.; Basye, A. T.; Bathe, S.; Baublis, V.; Baumann, C.; Bazilevsky, A.; Belikov, S.; Belmont, R.; Bennett, R.; Bhom, J. H.; Blau, D. S.; Bok, J. S.; Boyle, K.; Brooks, M. L.; Buesching, H.; Bumazhnov, V.; Bunce, G.; Butsyk, S.; Campbell, S.; Caringi, A.; Chen, C. -H.; Chi, C. Y.; Chiu, M.; Choi, I. J.; Choi, J. B.; Choudhury, R. K.; Christiansen, P.; Chujo, T.; Chung, P.; Chvala, O.; Cianciolo, V.; Citron, Z.; Cole, B. A.; Conesa del Valle, Z.; Connors, M.; Csanád, M.; Csörgő, T.; Dahms, T.; Dairaku, S.; Danchev, I.; Das, K.; Datta, A.; David, G.; Dayananda, M. K.; Denisov, A.; Deshpande, A.; Desmond, E. J.; Dharmawardane, K. V.; Dietzsch, O.; Dion, A.; Donadelli, M.; Drapier, O.; Drees, A.; Drees, K. A.; Durham, J. M.; Durum, A.; Dutta, D.; D'Orazio, L.; Edwards, S.; Efremenko, Y. V.; Ellinghaus, F.; Engelmore, T.; Enokizono, A.; En'yo, H.; Esumi, S.; Fadem, B.; Fields, D. E.; Finger, M.; Finger, M.; Fleuret, F.; Fokin, S. L.; Fraenkel, Z.; Frantz, J. E.; Franz, A.; Frawley, A. D.; Fujiwara, K.; Fukao, Y.; Fusayasu, T.; Garishvili, I.; Glenn, A.; Gong, H.; Gonin, M.; Goto, Y.; Granier de Cassagnac, R.; Grau, N.; Greene, S. V.; Grim, G.; Grosse Perdekamp, M.; Gunji, T.; Gustafsson, H. -Å.; Haggerty, J. S.; Hahn, K. I.; Hamagaki, H.; Hamblen, J.; Han, R.; Hanks, J.; Haslum, E.; Hayano, R.; He, X.; Heffner, M.; Hemmick, T. K.; Hester, T.; Hill, J. C.; Hohlmann, M.; Holzmann, W.; Homma, K.; Hong, B.; Horaguchi, T.; Hornback, D.; Huang, S.; Ichihara, T.; Ichimiya, R.; Ikeda, Y.; Imai, K.; Inaba, M.; Isenhower, D.; Ishihara, M.; Issah, M.; Ivanischev, D.; Iwanaga, Y.; Jacak, B. V.; Jia, J.; Jiang, X.; Jin, J.; Johnson, B. M.; Jones, T.; Joo, K. S.; Jouan, D.; Jumper, D. S.; Kajihara, F.; Kamin, J.; Kang, J. H.; Kapustinsky, J.; Karatsu, K.; Kasai, M.; Kawall, D.; Kawashima, M.; Kazantsev, A. V.; Kempel, T.; Khanzadeev, A.; Kijima, K. M.; Kikuchi, J.; Kim, A.; Kim, B. I.; Kim, D. J.; Kim, E. -J.; Kim, Y. -J.; Kinney, E.; Kiss, Á.; Kistenev, E.; Kleinjan, D.; Kochenda, L.; Komkov, B.; Konno, M.; Koster, J.; Král, A.; Kravitz, A.; Kunde, G. J.; Kurita, K.; Kurosawa, M.; Kwon, Y.; Kyle, G. S.; Lacey, R.; Lai, Y. S.; Lajoie, J. G.; Lebedev, A.; Lee, D. M.; Lee, J.; Lee, K. B.; Lee, K. S.; Leitch, M. J.; Leite, M. A. L.; Li, X.; Lichtenwalner, P.; Liebing, P.; Linden Levy, L. A.; Liška, T.; Liu, H.; Liu, M. X.; Love, B.; Lynch, D.; Maguire, C. F.; Makdisi, Y. I.; Malik, M. D.; Manko, V. I.; Mannel, E.; Mao, Y.; Masui, H.; Matathias, F.; McCumber, M.; McGaughey, P. L.; McGlinchey, D.; Means, N.; Meredith, B.; Miake, Y.; Mibe, T.; Mignerey, A. C.; Miki, K.; Milov, A.; Mitchell, J. T.; Mohanty, A. K.; Moon, H. J.; Morino, Y.; Morreale, A.; Morrison, D. P.; Moukhanova, T. V.; Murakami, T.; Murata, J.; Nagamiya, S.; Nagle, J. L.; Naglis, M.; Nagy, M. I.; Nakagawa, I.; Nakamiya, Y.; Nakamura, K. R.; Nakamura, T.; Nakano, K.; Nam, S.; Newby, J.; Nguyen, M.; Nihashi, M.; Nouicer, R.; Nyanin, A. S.; Oakley, C.; O'Brien, E.; Oda, S. X.; Ogilvie, C. A.; Oka, M.; Okada, K.; Onuki, Y.; Oskarsson, A.; Ouchida, M.; Ozawa, K.; Pak, R.; Pantuev, V.; Papavassiliou, V.; Park, I. H.; Park, S. K.; Park, W. J.; Pate, S. F.; Pei, H.; Peng, J. -C.; Pereira, H.; Peressounko, D. Yu.; Petti, R.; Pinkenburg, C.; Pisani, R. P.; Proissl, M.; Purschke, M. L.; Qu, H.; Rak, J.; Ravinovich, I.; Read, K. F.; Rembeczki, S.; Reygers, K.; Riabov, V.; Riabov, Y.; Richardson, E.; Roach, D.; Roche, G.; Rolnick, S. D.; Rosati, M.; Rosen, C. A.; Rosendahl, S. S. E.; Ružička, P.; Sahlmueller, B.; Saito, N.; Sakaguchi, T.; Sakashita, K.; Samsonov, V.; Sano, S.; Sato, T.; Sawada, S.; Sedgwick, K.; Seele, J.; Seidl, R.; Seto, R.; Sharma, D.; Shein, I.; Shibata, T. -A.; Shigaki, K.; Shimomura, M.; Shoji, K.; Shukla, P.; Sickles, A.; Silva, C. L.; Silvermyr, D.; Silvestre, C.; Sim, K. S.; Singh, B. K.; Singh, C. P.; Singh, V.; Slunečka, M.; Soltz, R. A.; Sondheim, W. E.; Sorensen, S. P.; Sourikova, I. V.; Stankus, P. W.; Stenlund, E.; Stoll, S. P.; Sugitate, T.; Sukhanov, A.; Sziklai, J.; Takagui, E. M.; Taketani, A.; Tanabe, R.; Tanaka, Y.; Taneja, S.; Tanida, K.; Tannenbaum, M. J.; Tarafdar, S.; Taranenko, A.; Themann, H.; Thomas, D.; Thomas, T. L.; Togawa, M.; Toia, A.; Tomášek, L.; Torii, H.; Towell, R. S.; Tserruya, I.; Tsuchimoto, Y.; Vale, C.; Valle, H.; van Hecke, H. W.; Vazquez-Zambrano, E.; Veicht, A.; Velkovska, J.; Vértesi, R.; Virius, M.; Vrba, V.; Vznuzdaev, E.; Wang, X. R.; Watanabe, D.; Watanabe, K.; Watanabe, Y.; Wei, F.; Wei, R.; Wessels, J.; White, S. N.; Winter, D.; Woody, C. L.; Wright, R. M.; Wysocki, M.; Yamaguchi, Y. L.; Yamaura, K.; Yang, R.; Yanovich, A.; Ying, J.; Yokkaichi, S.; You, Z.; Young, G. R.; Younus, I.; Yushmanov, I. E.; Zajc, W. A.; Zhou, S.

    2015-01-26

    We report a measurement of e⁺e⁻ pairs from semileptonic heavy-flavor decays in d+Au collisions at √sNN = 200 GeV. Thus, exploring the mass and transverse-momentum dependence of the yield, the bottom decay contribution can be isolated from charm, and quantified by comparison to PYTHIA and MC@NLO simulations. The resulting bb-production cross section is σdAubb=1.37±0.28(stat)±0.46(syst) mb, which is equivalent to a nucleon-nucleon cross section of σNNbb =3.4 ± 0.8(stat)±1.1(syst) µb.

  1. Measurement of differential <mi>J/ψ> production cross sections and forward-backward ratios in <mi>pmi> +  mathvariant='normal'>Pbmi> collisions with the ATLAS detector

    SciTech Connect (OSTI)

    Aad, G.; Abbott, B.; Abdallah, J.; Abdel Khalek, S.; Abdinov, O.; Aben, R.; Abi, B.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; Abulaiti, Y.; Acharya, B. S.; Adamczyk, L.; Adams, D. L.; Adelman, J.; Adomeit, S.; Adye, T.; Agatonovic-Jovin, T.; Aguilar-Saavedra, J. A.; Agustoni, M.; Ahlen, S. P.; Ahmadov, F.; Aielli, G.; Akerstedt, H.; Åkesson, T. P. A.; Akimoto, G.; Akimov, A. V.; Alberghi, G. L.; Albert, J.; Albrand, S.; Alconada Verzini, M. J.; Aleksa, M.; Aleksandrov, I. N.; Alexa, C.; Alexander, G.; Alexandre, G.; Alexopoulos, T.; Alhroob, M.; Alimonti, G.; Alio, L.; Alison, J.; Allbrooke, B. M. M.; Allison, L. J.; Allport, P. P.; Aloisio, A.; Alonso, A.; Alonso, F.; Alpigiani, C.; Altheimer, A.; Alvarez Gonzalez, B.; Alviggi, M. G.; Amako, K.; Amaral Coutinho, Y.; Amelung, C.; Amidei, D.; Amor Dos Santos, S. P.; Amorim, A.; Amoroso, S.; Amram, N.; Amundsen, G.; Anastopoulos, C.; Ancu, L. S.; Andari, N.; Andeen, T.; Anders, C. F.; Anders, G.; Anderson, K. J.; Andreazza, A.; Andrei, V.; Anduaga, X. S.; Angelidakis, S.; Angelozzi, I.; Anger, P.; Angerami, A.; Anghinolfi, F.; Anisenkov, A. V.; Anjos, N.; Annovi, A.; Antonelli, M.; Antonov, A.; Antos, J.; Anulli, F.; Aoki, M.; Aperio Bella, L.; Arabidze, G.; Arai, Y.; Araque, J. P.; Arce, A. T. H.; Arduh, F. A.; Arguin, J-F.; Argyropoulos, S.; Arik, M.; Armbruster, A. J.; Arnaez, O.; Arnal, V.; Arnold, H.; Arratia, M.; Arslan, O.; Artamonov, A.; Artoni, G.; Asai, S.; Asbah, N.; Ashkenazi, A.; Åsman, B.; Asquith, L.; Assamagan, K.; Astalos, R.; Atkinson, M.; Atlay, N. B.; Auerbach, B.; Augsten, K.; Aurousseau, M.; Avolio, G.; Axen, B.; Azuelos, G.; Baak, M. A.; Baas, A. E.; Bacci, C.; Bachacou, H.; Bachas, K.; Backes, M.; Backhaus, M.; Bagiacchi, P.; Bagnaia, P.; Bai, Y.; Bain, T.; Baines, J. T.; Baker, O. K.; Balek, P.; Balestri, T.; Balli, F.; Banas, E.; Banerjee, Sw.; Bannoura, A. A. E.; Bansil, H. S.; Barak, L.; Barberio, E. L.; Barberis, D.; Barbero, M.; Barillari, T.; Barisonzi, M.; Barklow, T.; Barlow, N.; Barnes, S. L.; Barnett, B. M.; Barnett, R. M.; Barnovska, Z.; Baroncelli, A.; Barone, G.; Barr, A. J.; Barreiro, F.; Barreiro Guimarães da Costa, J.; Bartoldus, R.; Barton, A. E.; Bartos, P.; Bassalat, A.; Basye, A.; Bates, R. L.; Batista, S. J.; Batley, J. R.; Battaglia, M.; Bauce, M.; Bauer, F.; Bawa, H. S.; Beacham, J. B.; Beattie, M. D.; Beau, T.; Beauchemin, P. H.; Beccherle, R.; Bechtle, P.; Beck, H. P.; Becker, K.; Becker, S.; Beckingham, M.; Becot, C.; Beddall, A. J.; Beddall, A.; Bednyakov, V. A.; Bee, C. P.; Beemster, L. J.; Beermann, T. A.; Begel, M.; Behr, J. K.; Belanger-Champagne, C.; Bell, P. J.; Bell, W. H.; Bella, G.; Bellagamba, L.; Bellerive, A.; Bellomo, M.; Belotskiy, K.; Beltramello, O.; Benary, O.; Benchekroun, D.; Bender, M.; Bendtz, K.; Benekos, N.; Benhammou, Y.; Benhar Noccioli, E.; Benitez Garcia, J. A.; Benjamin, D. P.; Bensinger, J. R.; Bentvelsen, S.; Berge, D.; Bergeaas Kuutmann, E.; Berger, N.; Berghaus, F.; Beringer, J.; Bernard, C.; Bernard, N. R.; Bernius, C.; Bernlochner, F. U.; Berry, T.; Berta, P.; Bertella, C.; Bertoli, G.; Bertolucci, F.; Bertsche, C.; Bertsche, D.; Besana, M. I.; Besjes, G. J.; Bessidskaia Bylund, O.; Bessner, M.; Besson, N.; Betancourt, C.; Bethke, S.; Bevan, A. J.; Bhimji, W.; Bianchi, R. M.; Bianchini, L.; Bianco, M.; Biebel, O.; Bieniek, S. P.; Biglietti, M.; Bilbao De Mendizabal, J.; Bilokon, H.; Bindi, M.; Binet, S.; Bingul, A.; Bini, C.; Black, C. W.; Black, J. E.; Black, K. M.; Blackburn, D.; Blair, R. E.; Blanchard, J. -B.; Blanco, J. E.; Blazek, T.; Bloch, I.; Blocker, C.; Blum, W.; Blumenschein, U.; Bobbink, G. J.; Bobrovnikov, V. S.; Bocchetta, S. S.; Bocci, A.; Bock, C.; Boddy, C. R.; Boehler, M.; Bogaerts, J. A.; Bogdanchikov, A. G.; Bohm, C.; Boisvert, V.; Bold, T.; Boldea, V.; Boldyrev, A. S.; Bomben, M.; Bona, M.; Boonekamp, M.; Borisov, A.; Borissov, G.; Borroni, S.; Bortfeldt, J.; Bortolotto, V.; Bos, K.; Boscherini, D.; Bosman, M.; Boudreau, J.; Bouffard, J.; Bouhova-Thacker, E. V.; Boumediene, D.; Bourdarios, C.; Bousson, N.; Boutouil, S.; Boveia, A.; Boyd, J.; Boyko, I. R.; Bozic, I.; Bracinik, J.; Brandt, A.; Brandt, G.; Brandt, O.; Bratzler, U.; Brau, B.; Brau, J. E.; Braun, H. M.; Brazzale, S. F.; Brendlinger, K.; Brennan, A. J.; Brenner, L.; Brenner, R.; Bressler, S.; Bristow, K.; Bristow, T. M.; Britton, D.; Brochu, F. M.; Brock, I.; Brock, R.; Bronner, J.; Brooijmans, G.; Brooks, T.; Brooks, W. K.; Brosamer, J.; Brost, E.; Brown, J.; Bruckman de Renstrom, P. A.; Bruncko, D.; Bruneliere, R.; Bruni, A.; Bruni, G.; Bruschi, M.; Bryngemark, L.; Buanes, T.; Buat, Q.; Bucci, F.; Buchholz, P.; Buckley, A. G.; Buda, S. I.; Budagov, I. A.; Buehrer, F.; Bugge, L.; Bugge, M. K.; Bulekov, O.; Burckhart, H.; Burdin, S.; Burghgrave, B.; Burke, S.; Burmeister, I.; Busato, E.; Büscher, D.; Büscher, V.; Bussey, P.; Buszello, C. P.; Butler, J. M.; Butt, A. I.; Buttar, C. M.; Butterworth, J. M.; Butti, P.; Buttinger, W.; Buzatu, A.; Cabrera Urbán, S.; Caforio, D.; Cakir, O.; Calafiura, P.; Calandri, A.; Calderini, G.; Calfayan, P.; Caloba, L. P.; Calvet, D.; Calvet, S.; Camacho Toro, R.; Camarda, S.; Cameron, D.; Caminada, L. M.; Caminal Armadans, R.; Campana, S.; Campanelli, M.; Campoverde, A.; Canale, V.; Canepa, A.; Cano Bret, M.; Cantero, J.; Cantrill, R.; Cao, T.; Capeans Garrido, M. D. M.; Caprini, I.; Caprini, M.; Capua, M.; Caputo, R.; Cardarelli, R.; Carli, T.; Carlino, G.; Carminati, L.; Caron, S.; Carquin, E.; Carrillo-Montoya, G. D.; Carter, J. R.; Carvalho, J.; Casadei, D.; Casado, M. P.; Casolino, M.; Castaneda-Miranda, E.; Castelli, A.; Castillo Gimenez, V.; Castro, N. F.; Catastini, P.; Catinaccio, A.; Catmore, J. R.; Cattai, A.; Cattani, G.; Caudron, J.; Cavaliere, V.; Cavalli, D.; Cavalli-Sforza, M.; Cavasinni, V.; Ceradini, F.; Cerio, B. C.; Cerny, K.; Cerqueira, A. S.; Cerri, A.; Cerrito, L.; Cerutti, F.; Cerv, M.; Cervelli, A.; Cetin, S. A.; Chafaq, A.; Chakraborty, D.; Chalupkova, I.; Chang, P.; Chapleau, B.; Chapman, J. D.; Charfeddine, D.; Charlton, D. G.; Chau, C. C.; Chavez Barajas, C. A.; Cheatham, S.; Chegwidden, A.; Chekanov, S.; Chekulaev, S. V.; Chelkov, G. A.; Chelstowska, M. A.; Chen, C.; Chen, H.; Chen, K.; Chen, L.; Chen, S.; Chen, X.; Chen, Y.; Cheng, H. C.; Cheng, Y.; Cheplakov, A.; Cheremushkina, E.; Cherkaoui El Moursli, R.; Chernyatin, V.; Cheu, E.; Chevalier, L.; Chiarella, V.; Childers, J. T.; Chilingarov, A.; Chiodini, G.; Chisholm, A. S.; Chislett, R. T.; Chitan, A.; Chizhov, M. V.; Chouridou, S.; Chow, B. K. B.; Chromek-Burckhart, D.; Chu, M. L.; Chudoba, J.; Chwastowski, J. J.; Chytka, L.; Ciapetti, G.; Ciftci, A. K.; Cinca, D.; Cindro, V.; Ciocio, A.; Citron, Z. 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C.; Vest, A.; Vetterli, M. C.; Viazlo, O.; Vichou, I.; Vickey, T.; Vickey Boeriu, O. E.; Viehhauser, G. H. A.; Viel, S.; Vigne, R.; Villa, M.; Villaplana Perez, M.; Vilucchi, E.; Vincter, M. G.; Vinogradov, V. B.; Virzi, J.; Vivarelli, I.; Vives Vaque, F.; Vlachos, S.; Vladoiu, D.; Vlasak, M.; Vogel, M.; Vokac, P.; Volpi, G.; Volpi, M.; von der Schmitt, H.; von Radziewski, H.; von Toerne, E.; Vorobel, V.; Vorobev, K.; Vos, M.; Voss, R.; Vossebeld, J. H.; Vranjes, N.; Vranjes Milosavljevic, M.; Vrba, V.; Vreeswijk, M.; Vuillermet, R.; Vukotic, I.; Vykydal, Z.; Wagner, P.; Wagner, W.; Wahlberg, H.; Wahrmund, S.; Wakabayashi, J.; Walder, J.; Walker, R.; Walkowiak, W.; Wang, C.; Wang, F.; Wang, H.; Wang, H.; Wang, J.; Wang, J.; Wang, K.; Wang, R.; Wang, S. M.; Wang, T.; Wang, X.; Wanotayaroj, C.; Warburton, A.; Ward, C. P.; Wardrope, D. R.; Warsinsky, M.; Washbrook, A.; Wasicki, C.; Watkins, P. M.; Watson, A. T.; Watson, I. J.; Watson, M. F.; Watts, G.; Watts, S.; Waugh, B. M.; Webb, S.; Weber, M. S.; Weber, S. W.; Webster, J. S.; Weidberg, A. R.; Weinert, B.; Weingarten, J.; Weiser, C.; Weits, H.; Wells, P. S.; Wenaus, T.; Wendland, D.; Wengler, T.; Wenig, S.; Wermes, N.; Werner, M.; Werner, P.; Wessels, M.; Wetter, J.; Whalen, K.; Wharton, A. M.; White, A.; White, M. J.; White, R.; White, S.; Whiteson, D.; Wicke, D.; Wickens, F. J.; Wiedenmann, W.; Wielers, M.; Wienemann, P.; Wiglesworth, C.; Wiik-Fuchs, L. A. M.; Wildauer, A.; Wilkens, H. G.; Williams, H. H.; Williams, S.; Willis, C.; Willocq, S.; Wilson, A.; Wilson, J. A.; Wingerter-Seez, I.; Winklmeier, F.; Winter, B. T.; Wittgen, M.; Wittkowski, J.; Wollstadt, S. J.; Wolter, M. W.; Wolters, H.; Wosiek, B. K.; Wotschack, J.; Woudstra, M. J.; Wozniak, K. W.; Wu, M.; Wu, S. L.; Wu, X.; Wu, Y.; Wyatt, T. R.; Wynne, B. M.; Xella, S.; Xu, D.; Xu, L.; Yabsley, B.; Yacoob, S.; Yakabe, R.; Yamada, M.; Yamaguchi, Y.; Yamamoto, A.; Yamamoto, S.; Yamanaka, T.; Yamauchi, K.; Yamazaki, Y.; Yan, Z.; Yang, H.; Yang, H.; Yang, Y.; Yanush, S.; Yao, L.; Yao, W-M.; Yasu, Y.; Yatsenko, E.; Yau Wong, K. H.; Ye, J.; Ye, S.; Yeletskikh, I.; Yen, A. L.; Yildirim, E.; Yorita, K.; Yoshida, R.; Yoshihara, K.; Young, C.; Young, C. J. S.; Youssef, S.; Yu, D. R.; Yu, J.; Yu, J. M.; Yu, J.; Yuan, L.; Yurkewicz, A.; Yusuff, I.; Zabinski, B.; Zaidan, R.; Zaitsev, A. M.; Zaman, A.; Zambito, S.; Zanello, L.; Zanzi, D.; Zeitnitz, C.; Zeman, M.; Zemla, A.; Zengel, K.; Zenin, O.; Ženiš, T.; Zerwas, D.; Zhang, D.; Zhang, F.; Zhang, J.; Zhang, L.; Zhang, R.; Zhang, X.; Zhang, Z.; Zhao, X.; Zhao, Y.; Zhao, Z.; Zhemchugov, A.; Zhong, J.; Zhou, B.; Zhou, C.; Zhou, L.; Zhou, L.; Zhou, N.; Zhu, C. G.; Zhu, H.; Zhu, J.; Zhu, Y.; Zhuang, X.; Zhukov, K.; Zibell, A.; Zieminska, D.; Zimine, N. I.; Zimmermann, C.; Zimmermann, R.; Zimmermann, S.; Zinonos, Z.; Ziolkowski, M.; Živković, L.; Zobernig, G.; Zoccoli, A.; zur Nedden, M.; Zurzolo, G.; Zwalinski, L.

    2015-09-01

    Measurements of differential cross sections for J/ψ production in p+Pb collisions at √sNN=5.02TeV at the CERN Large Hadron Collider with the ATLAS detector are presented. The data set used corresponds to an integrated luminosity of 28.1 nb-1. The J/ψ mesons are reconstructed in the dimuon decay channel over the transverse momentum range 8

  2. F-1 U.S. Energy Information Administration | Annual Energy Outlook...

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

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    VT North Troy, VT U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Alamo, TX El Paso, TX Galvan Ranch, TX Hidalgo, TX McAllen, TX Penitas, TX LNG Imports from Algeria ...

  7. Search for proton decay via <mi>p>?<mi>?K>+ using 260 <mi>kilotonyear> data of Super-Kamiokande

    SciTech Connect (OSTI)

    Abe, K.; Hayato, Y.; Iyogi, K.; Kameda, J.; Miura, M.; Moriyama, S.; Nakahata, M.; Nakayama, S.; Wendell, R.?A.; Sekiya, H.; Shiozawa, M.; Suzuki, Y.; Takeda, A.; Takenaga, Y.; Ueno, K.; Yokozawa, T.; Kaji, H.; Kajita, T.; Kaneyuki, K.; Lee, K.?P.; Okumura, K.; McLachlan, T.; Labarga, L.; Kearns, E.; Raaf, J.?L.; Stone, J.?L.; Sulak, L.?R.; Goldhaber, M.; Bays, K.; Carminati, G.; Kropp, W.?R.; Mine, S.; Renshaw, A.; Smy, M.?B.; Sobel, H.?W.; Ganezer, K.?S.; Hill, J.; Keig, W.?E.; Jang, J.?S.; Kim, J.?Y.; Lim, I.?T.; Albert, J.?B.; Scholberg, K.; Walter, C.?W.; Wongjirad, T.; Ishizuka, T.; Tasaka, S.; Learned, J.?G.; Matsuno, S.; Smith, S.?N.; Hasegawa, T.; Ishida, T.; Ishii, T.; Kobayashi, T.; Nakadaira, T.; Nakamura, K.; Nishikawa, K.; Oyama, Y.; Sakashita, K.; Sekiguchi, T.; Tsukamoto, T.; Suzuki, A.?T.; Takeuchi, Y.; Ieki, K.; Ikeda, M.; Kubo, H.; Minamino, A.; Murakami, A.; Nakaya, T.; Fukuda, Y.; Choi, K.; Itow, Y.; Mitsuka, G.; Miyake, M.; Mijakowski, P.; Hignight, J.; Imber, J.; Jung, C.?K.; Taylor, I.; Yanagisawa, C.; Ishino, H.; Kibayashi, A.; Koshio, Y.; Mori, T.; Sakuda, M.; Takeuchi, J.; Kuno, Y.; Kim, S.?B.; Okazawa, H.; Choi, Y.; Nishijima, K.; Koshiba, M.; Totsuka, Y.; Yokoyama, M.; Martens, K.; Marti, Ll.; Obayashi, Y.; Vagins, M.?R.; Chen, S.; Sui, H.; Yang, Z.; Zhang, H.; Connolly, K.; Dziomba, M.; Wilkes, R.?J.

    2014-10-14

    We have searched for proton decay via p??K+ using Super-Kamiokande data from April 1996 to February 2013, 260 kilotonyear exposure in total. No evidence for this proton decay mode is found. A lower limit of the proton lifetime is set to ?/B(p??K+)>5.91033 years at 90% confidence level.

  8. Lattice dynamics of <mi>BaFe>2<mi>X>3(<mi>X= mathvariant='normal'>Smi>,<mi>Se>) compounds

    SciTech Connect (OSTI)

    Popovi?, Z. V.; ?epanovi?, M.; Lazarevi?, N.; Opa?i?, M.; Radonji?, M. M.; Tanaskovi?, D.; Lei, Hechang; Petrovic, C.

    2015-02-27

    We present the Raman scattering spectra of the S=2 spin ladder compounds BaFe?X? (X=S,Se) in a temperature range between 20 and 400 K. Although the crystal structures of these two compounds are both orthorhombic and very similar, they are not isostructural. The unit cell of BaFe?S? (BaFe?Se?) is base-centered Cmcm (primitive Pnma), giving 18 (36) modes to be observed in the Raman scattering experiment. We have detected almost all Raman active modes, predicted by factor group analysis, which can be observed from the cleavage planes of these compounds. Assignment of the observed Raman modes of BaFe?S(Se)? is supported by the lattice dynamics calculations. The antiferromagnetic long-range spin ordering in BaFe?Se? below TN=255K leaves a fingerprint both in the A1g and B3g phonon mode linewidth and energy.

  9. NETL F 451.1/1-1, Categorical Exclusion Designation Form

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

    TX University of Texas at Austin - Austin, TX (approved CX); Bureau of Economic Geology UT-Austin - Austin, TX (approved CX) Laredo Petroleum, Inc. - Reagan Co., TX FE...

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  12. Two nucleon systems at <mi>mmi><mi>π>~450<mi>MeV> from lattice QCD

    SciTech Connect (OSTI)

    Orginos, Kostas; Parreño, Assumpta; Savage, Martin J.; Beane, Silas R.; Chang, Emmanuel; Detmold, William

    2015-12-23

    Nucleon-nucleon systems are studied with lattice quantum chromodynamics at a pion mass of $m_\\pi\\sim 450~{\\rm MeV}$ in three spatial volumes using $n_f=2+1$ flavors of light quarks. At the quark masses employed in this work, the deuteron binding energy is calculated to be $B_d = 14.4^{+3.2}_{-2.6} ~{\\rm MeV}$, while the dineutron is bound by $B_{nn} = 12.5^{+3.0}_{-5.0}~{\\rm MeV}$. Over the range of energies that are studied, the S-wave scattering phase shifts calculated in the 1S0 and 3S1-3D1 channels are found to be similar to those in nature, and indicate repulsive short-range components of the interactions, consistent with phenomenological nucleon-nucleon interactions. In both channels, the phase shifts are determined at three energies that lie within the radius of convergence of the effective range expansion, allowing for constraints to be placed on the inverse scattering lengths and effective ranges. Thus, the extracted phase shifts allow for matching to nuclear effective field theories, from which low energy counterterms are extracted and issues of convergence are investigated. As part of the analysis, a detailed investigation of the single hadron sector is performed, enabling a precise determination of the violation of the Gell-Mann–Okubo mass relation.

  13. Superconducting and magnetic properties of <mi>Sr>3<mi>Ir>4<mi>Sn>13

    SciTech Connect (OSTI)

    Biswas, P. K.; Amato, A.; Khasanov, R.; Luetkens, H.; Wang, Kefeng; Petrovic, C.; Cook, R. M.; Lees, M. R.; Morenzoni, E.

    2014-10-10

    In this research, magnetization and muon spin relaxation or rotation (SR) measurements have been performed to study the superconducting and magnetic properties of Sr?Ir?Sn??. From magnetization measurements the lower and upper critical fields of Sr?Ir?Sn?? are found to be 81(1) Oe and 14.4(2) kOe, respectively. Zero-field SR data show no sign of any magnetic ordering or weak magnetism in Sr?Ir?Sn??. Transverse-field SR measurements in the vortex state provided the temperature dependence of the magnetic penetration depth ?. The dependence of ?? with temperature is consistent with the existence of single s-wave energy gap in the superconducting state of Sr?Ir?Sn?? with a gap value of 0.82(2) meV at absolute zero temperature. The magnetic penetration depth at zero temperature ?(0) is 291(3) nm. The ratio ?(0)/kBTc = 2.1(1) indicates that Sr?Ir?Sn?? should be considered as a strong-coupling superconductor.

  14. Observation of <mi>D>0 meson nuclear modifications in <mi>Au+Au> collisions at <mi>smi><mi>NN>=200 <mi>GeV>

    SciTech Connect (OSTI)

    Adamczyk, L.; Adkins, J. K.; Agakishiev, G.; Aggarwal, M. M.; Ahammed, Z.; Alekseev, I.; Alford, J.; Anson, C. D.; Aparin, A.; Arkhipkin, D.; Aschenauer, E. C.; Averichev, G. S.; Banerjee, A.; Beavis, D. R.; Bellwied, R.; Bhasin, A.; Bhati, A. K.; Bhattarai, P.; Bichsel, H.; Bielcik, J.; Bielcikova, J.; Bland, L. C.; Bordyuzhin, I. G.; Borowski, W.; Bouchet, J.; Brandin, A. V.; Brovko, S. G.; Bültmann, S.; Bunzarov, I.; Burton, T. P.; Butterworth, J.; Caines, H.; Calderón de la Barca Sánchez, M.; Cebra, D.; Cendejas, R.; Cervantes, M. C.; Chaloupka, P.; Chang, Z.; Chattopadhyay, S.; Chen, H. F.; Chen, J. H.; Chen, L.; Cheng, J.; Cherney, M.; Chikanian, A.; Christie, W.; Chwastowski, J.; Codrington, M. J. M.; Contin, G.; Cramer, J. G.; Crawford, H. J.; Cui, X.; Das, S.; Davila Leyva, A.; De Silva, L. C.; Debbe, R. R.; Dedovich, T. G.; Deng, J.; Derevschikov, A. A.; Derradi de Souza, R.; Dhamija, S.; di Ruzza, B.; Didenko, L.; Dilks, C.; Ding, F.; Djawotho, P.; Dong, X.; Drachenberg, J. L.; Draper, J. E.; Du, C. M.; Dunkelberger, L. E.; Dunlop, J. C.; Efimov, L. G.; Engelage, J.; Engle, K. S.; Eppley, G.; Eun, L.; Evdokimov, O.; Eyser, O.; Fatemi, R.; Fazio, S.; Fedorisin, J.; Filip, P.; Finch, E.; Fisyak, Y.; Flores, C. E.; Gagliardi, C. A.; Gangadharan, D. R.; Garand, D.; Geurts, F.; Gibson, A.; Girard, M.; Gliske, S.; Greiner, L.; Grosnick, D.; Gunarathne, D. S.; Guo, Y.; Gupta, A.; Gupta, S.; Guryn, W.; Haag, B.; Hamed, A.; Han, L.-X.; Haque, R.; Harris, J. W.; Heppelmann, S.; Hirsch, A.; Hoffmann, G. W.; Hofman, D. J.; Horvat, S.; Huang, B.; Huang, H. Z.; Huang, X.; Huck, P.; Humanic, T. J.; Igo, G.; Jacobs, W. W.; Jang, H.; Judd, E. G.; Kabana, S.; Kalinkin, D.; Kang, K.; Kauder, K.; Ke, H. W.; Keane, D.; Kechechyan, A.; Kesich, A.; Khan, Z. H.; Kikola, D. P.; Kisel, I.; Kisiel, A.; Koetke, D. D.; Kollegger, T.; Konzer, J.; Koralt, I.; Kotchenda, L.; Kraishan, A. F.; Kravtsov, P.; Krueger, K.; Kulakov, I.; Kumar, L.; Kycia, R. A.; Lamont, M. A. C.; Landgraf, J. M.; Landry, K. D.; Lauret, J.; Lebedev, A.; Lednicky, R.; Lee, J. H.; LeVine, M. J.; Li, C.; Li, W.; Li, X.; Li, X.; Li, Y.; Li, Z. M.; Lisa, M. A.; Liu, F.; Ljubicic, T.; Llope, W. J.; Lomnitz, M.; Longacre, R. S.; Luo, X.; Ma, G. L.; Ma, Y. G.; Madagodagettige Don, D. M. M. D.; Mahapatra, D. P.; Majka, R.; Margetis, S.; Markert, C.; Masui, H.; Matis, H. S.; McDonald, D.; McShane, T. S.; Minaev, N. G.; Mioduszewski, S.; Mohanty, B.; Mondal, M. M.; Morozov, D. A.; Mustafa, M. K.; Nandi, B. K.; Nasim, Md.; Nayak, T. K.; Nelson, J. M.; Nigmatkulov, G.; Nogach, L. V.; Noh, S. Y.; Novak, J.; Nurushev, S. B.; Odyniec, G.; Ogawa, A.; Oh, K.; Ohlson, A.; Okorokov, V.; Oldag, E. W.; Olvitt, D. L.; Pachr, M.; Page, B. S.; Pal, S. K.; Pan, Y. X.; Pandit, Y.; Panebratsev, Y.; Pawlak, T.; Pawlik, B.; Pei, H.; Perkins, C.; Peryt, W.; Pile, P.; Planinic, M.; Pluta, J.; Poljak, N.; Porter, J.; Poskanzer, A. M.; Pruthi, N. K.; Przybycien, M.; Pujahari, P. R.; Putschke, J.; Qiu, H.; Quintero, A.; Ramachandran, S.; Raniwala, R.; Raniwala, S.; Ray, R. L.; Riley, C. K.; Ritter, H. G.; Roberts, J. B.; Rogachevskiy, O. V.; Romero, J. L.; Ross, J. F.; Roy, A.; Ruan, L.; Rusnak, J.; Rusnakova, O.; Sahoo, N. R.; Sahu, P. K.; Sakrejda, I.; Salur, S.; Sandweiss, J.; Sangaline, E.; Sarkar, A.; Schambach, J.; Scharenberg, R. P.; Schmah, A. M.; Schmidke, W. B.; Schmitz, N.; Seger, J.; Seyboth, P.; Shah, N.; Shahaliev, E.; Shanmuganathan, P. V.; Shao, M.; Sharma, B.; Shen, W. Q.; Shi, S. S.; Shou, Q. Y.; Sichtermann, E. P.; Singaraju, R. N.; Skoby, M. J.; Smirnov, D.; Smirnov, N.; Solanki, D.; Sorensen, P.; Spinka, H. M.; Srivastava, B.; Stanislaus, T. D. S.; Stevens, J. R.; Stock, R.; Strikhanov, M.; Stringfellow, B.; Sumbera, M.; Sun, X.; Sun, X. M.; Sun, Y.; Sun, Z.; Surrow, B.; Svirida, D. N.; Symons, T. J. M.; Szelezniak, M. A.; Takahashi, J.; Tang, A. H.; Tang, Z.; Tarnowsky, T.; Thomas, J. H.; Timmins, A. R.; Tlusty, D.; Tokarev, M.; Trentalange, S.; Tribble, R. E.; Tribedy, P.; Trzeciak, B. A.; Tsai, O. D.; Turnau, J.; Ullrich, T.; Underwood, D. G.; Van Buren, G.; van Nieuwenhuizen, G.; Vandenbroucke, M.; Vanfossen, J. A.; Varma, R.; Vasconcelos, G. M. S.; Vasiliev, A. N.; Vertesi, R.; Videbæk, F.; Viyogi, Y. P.; Vokal, S.; Vossen, A.; Wada, M.; Wang, F.; Wang, G.; Wang, H.; Wang, J. S.; Wang, X. L.; Wang, Y.; Wang, Y.; Webb, G.; Webb, J. C.; Westfall, G. D.; Wieman, H.; Wissink, S. W.; Witt, R.; Wu, Y. F.; Xiao, Z.; Xie, W.; Xin, K.; Xu, H.; Xu, J.; Xu, N.; Xu, Q. H.; Xu, Y.; Xu, Z.; Yan, W.; Yang, C.; Yang, Y.; Yang, Y.; Ye, Z.; Yepes, P.; Yi, L.; Yip, K.; Yoo, I.-K.; Yu, N.; Zawisza, Y.; Zbroszczyk, H.; Zha, W.; Zhang, J. B.; Zhang, J. L.; Zhang, S.; Zhang, X. P.; Zhang, Y.; Zhang, Z. P.; Zhao, F.; Zhao, J.; Zhong, C.; Zhu, X.; Zhu, Y. H.; Zoulkarneeva, Y.; Zyzak, M.

    2014-09-30

    We report the first measurement of charmed-hadron (D0) production via the hadronic decay channel (D0→K-+) in Au+Au collisions at √sNN=200 GeV with the STAR experiment. The charm production cross section per nucleon-nucleon collision at midrapidity scales with the number of binary collisions, Nbin, from p+p to central Au+Au collisions. The D0 meson yields in central Au+Aucollisions are strongly suppressed compared to those in p+p scaled by Nbin, for transverse momenta pT>3 GeV/c, demonstrating significant energy loss of charm quarks in the hot and dense medium. An enhancement at intermediate pT is also observed. Model calculations including strong charm-medium interactions and coalescence hadronization describe our measurements.

  15. Coupled <mi>ππ>, <mi>K><mi>K>¯ scattering in <mi>P>-wave and the <mi>ρ> resonance from lattice QCD

    SciTech Connect (OSTI)

    Wilson, David J.; Briceño, Raúl A.; Dudek, Jozef J.; Edwards, Robert G.; Thomas, Christopher E.

    2015-11-02

    In this study, we determine elastic and coupled-channel amplitudes for isospin-1 meson-meson scattering in $P$-wave, by calculating correlation functions using lattice QCD with light quark masses such that $m_\\pi = 236$ MeV in a cubic volume of $\\sim (4 \\,\\mathrm{fm})^3$. Variational analyses of large matrices of correlation functions computed using operator constructions resembling $\\pi\\pi$, $K\\overline{K}$ and $q\\bar{q}$, in several moving frames and several lattice irreducible representations, leads to discrete energy spectra from which scattering amplitudes are extracted. In the elastic $\\pi\\pi$ scattering region we obtain a detailed energy-dependence for the phase-shift, corresponding to a $\\rho$ resonance, and we extend the analysis into the coupled-channel $K\\overline{K}$ region for the first time, finding a small coupling between the channels.

  16. Measurement of the Effective Weak Mixing Angle in<mi>p><mi>p>¯<mi>Zmi>/<mi>γ>*<mi>emi>+<mi>e>-Events

    SciTech Connect (OSTI)

    Abazov, V.  M.; Abbott, B.; Acharya, B.  S.; Adams, M.; Adams, T.; Agnew, J.  P.; Alexeev, G.  D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Avila, C.; Badaud, F.; Bagby, L.; Baldin, B.; Bandurin, D.  V.; Banerjee, S.; Barberis, E.; Baringer, P.; Bartlett, J.  F.; Bassler, U.; Bazterra, V.; Bean, A.; Begalli, M.; Bellantoni, L.; Beri, S.  B.; Bernardi, G.; Bernhard, R.; Bertram, I.; Besançon, M.; Beuselinck, R.; Bhat, P.  C.; Bhatia, S.; Bhatnagar, V.; Blazey, G.; Blessing, S.; Bloom, K.; Boehnlein, A.; Boline, D.; Boos, E.  E.; Borissov, G.; Borysova, M.; Brandt, A.; Brandt, O.; Brock, R.; Bross, A.; Brown, D.; Bu, X.  B.; Buehler, M.; Buescher, V.; Bunichev, V.; Burdin, S.; Buszello, C.  P.; Camacho-Pérez, E.; Casey, B.  C. K.; Castilla-Valdez, H.; Caughron, S.; Chakrabarti, S.; Chan, K.  M.; Chandra, A.; Chapon, E.; Chen, G.; Cho, S.  W.; Choi, S.; Choudhary, B.; Cihangir, S.; Claes, D.; Clutter, J.; Cooke, M.; Cooper, W.  E.; Corcoran, M.; Couderc, F.; Cousinou, M. -C.; Cutts, D.; Das, A.; Davies, G.; de Jong, S.  J.; De La Cruz-Burelo, E.; Déliot, F.; Demina, R.; Denisov, D.; Denisov, S.  P.; Desai, S.; Deterre, C.; DeVaughan, K.; Diehl, H.  T.; Diesburg, M.; Ding, P.  F.; Dominguez, A.; Dubey, A.; Dudko, L.  V.; Duperrin, A.; Dutt, S.; Eads, M.; Edmunds, D.; Ellison, J.; Elvira, V.  D.; Enari, Y.; Evans, H.; Evdokimov, V.  N.; Fauré, A.; Feng, L.; Ferbel, T.; Fiedler, F.; Filthaut, F.; Fisher, W.; Fisk, H.  E.; Fortner, M.; Fox, H.; Fuess, S.; Garbincius, P.  H.; Garcia-Bellido, A.; García-González, J.  A.; Gavrilov, V.; Geng, W.; Gerber, C.  E.; Gershtein, Y.; Ginther, G.; Gogota, O.; Golovanov, G.; Grannis, P.  D.; Greder, S.; Greenlee, H.; Grenier, G.; Gris, Ph.; Grivaz, J. -F.; Grohsjean, A.; Grünendahl, S.; Grünewald, M.  W.; Guillemin, T.; Gutierrez, G.; Gutierrez, P.; Haley, J.; Han, L.; Harder, K.; Harel, A.; Hauptman, J.  M.; Hays, J.; Head, T.; Hebbeker, T.; Hedin, D.; Hegab, H.; Heinson, A.  P.; Heintz, U.; Hensel, C.; Heredia-De La Cruz, I.; Herner, K.; Hesketh, G.; Hildreth, M.  D.; Hirosky, R.; Hoang, T.; Hobbs, J.  D.; Hoeneisen, B.; Hogan, J.; Hohlfeld, M.; Holzbauer, J.  L.; Howley, I.; Hubacek, Z.; Hynek, V.; Iashvili, I.; Ilchenko, Y.; Illingworth, R.; Ito, A.  S.; Jabeen, S.; Jaffré, M.; Jayasinghe, A.; Jeong, M.  S.; Jesik, R.; Jiang, P.; Johns, K.; Johnson, E.; Johnson, M.; Jonckheere, A.; Jonsson, P.; Joshi, J.; Jung, A.  W.; Juste, A.; Kajfasz, E.; Karmanov, D.; Katsanos, I.; Kaur, M.; Kehoe, R.; Kermiche, S.; Khalatyan, N.; Khanov, A.; Kharchilava, A.; Kharzheev, Y.  N.; Kiselevich, I.; Kohli, J.  M.; Kozelov, A.  V.; Kraus, J.; Kumar, A.; Kupco, A.; Kurča, T.; Kuzmin, V.  A.; Lammers, S.; Lebrun, P.; Lee, H.  S.; Lee, S.  W.; Lee, W.  M.; Lei, X.; Lellouch, J.; Li, D.; Li, H.; Li, L.; Li, Q.  Z.; Lim, J.  K.; Lincoln, D.; Linnemann, J.; Lipaev, V.  V.; Lipton, R.; Liu, H.; Liu, Y.; Lobodenko, A.; Lokajicek, M.; Lopes de Sa, R.; Luna-Garcia, R.; Lyon, A.  L.; Maciel, A.  K. A.; Madar, R.; Magaña-Villalba, R.; Malik, S.; Malyshev, V.  L.; Mansour, J.; Martínez-Ortega, J.; McCarthy, R.; McGivern, C.  L.; Meijer, M.  M.; Melnitchouk, A.; Menezes, D.; Mercadante, P.  G.; Merkin, M.; Meyer, A.; Meyer, J.; Miconi, F.; Mondal, N.  K.; Mulhearn, M.; Nagy, E.; Narain, M.; Nayyar, R.; Neal, H.  A.; Negret, J.  P.; Neustroev, P.; Nguyen, H.  T.; Nunnemann, T.; Orduna, J.; Osman, N.; Osta, J.; Pal, A.; Parashar, N.; Parihar, V.; Park, S.  K.; Partridge, R.; Parua, N.; Patwa, A.; Penning, B.; Perfilov, M.; Peters, Y.; Petridis, K.; Petrillo, G.; Pétroff, P.; Pleier, M. -A.; Podstavkov, V.  M.; Popov, A.  V.; Prewitt, M.; Price, D.; Prokopenko, N.; Qian, J.; Quadt, A.; Quinn, B.; Ratoff, P.  N.; Razumov, I.; Ripp-Baudot, I.; Rizatdinova, F.; Rominsky, M.; Ross, A.; Royon, C.; Rubinov, P.; Ruchti, R.; Sajot, G.; Sánchez-Hernández, A.; Sanders, M.  P.; Santos, A.  S.; Savage, G.; Savitskyi, M.; Sawyer, L.; Scanlon, T.; Schamberger, R.  D.; Scheglov, Y.; Schellman, H.; Schwanenberger, C.; Schwienhorst, R.; Sekaric, J.; Severini, H.; Shabalina, E.; Shary, V.; Shaw, S.; Shchukin, A.  A.; Simak, V.; Skubic, P.; Slattery, P.; Smirnov, D.; Snow, G.  R.; Snow, J.; Snyder, S.; Söldner-Rembold, S.; Sonnenschein, L.; Soustruznik, K.; Stark, J.; Stoyanova, D.  A.; Strauss, M.; Suter, L.; Svoisky, P.; Titov, M.; Tokmenin, V.  V.; Tsai, Y. -T.; Tsybychev, D.; Tuchming, B.; Tully, C.; Uvarov, L.; Uvarov, S.; Uzunyan, S.; Van Kooten, R.; van Leeuwen, W.  M.; Varelas, N.; Varnes, E.  W.; Vasilyev, I.  A.; Verkheev, A.  Y.; Vertogradov, L.  S.; Verzocchi, M.; Vesterinen, M.; Vilanova, D.; Vokac, P.; Wahl, H.  D.; Wang, M.  H. L. S.; Warchol, J.; Watts, G.; Wayne, M.; Weichert, J.; Welty-Rieger, L.; Williams, M.  R. J.; Wilson, G.  W.; Wobisch, M.; Wood, D.  R.; Wyatt, T.  R.; Xie, Y.; Yamada, R.; Yang, S.; Yasuda, T.; Yatsunenko, Y.  A.; Ye, W.; Ye, Z.; Yin, H.; Yip, K.; Youn, S.  W.; Yu, J.  M.; Zennamo, J.; Zhao, T.  G.; Zhou, B.; Zhu, J.; Zielinski, M.; Zieminska, D.; Zivkovic, L.

    2015-07-22

    We present a measurement of the fundamental parameter of the standard model, the weak mixing angle sin2θeff which determines the relative strength of weak and electromagnetic interactions, in pp¯→Z/γ*→e+e- events at a center of mass energy of 1.96 TeV, using data corresponding to 9.7 fb-1 of integrated luminosity collected by the D0 detector at the Fermilab Tevatron. The effective weak mixing angle is extracted from the forward-backward charge asymmetry as a function of the invariant mass around the Z boson pole. The measured value of sin2θeff=0.23147±0.00047 is the most precise measurement from light quark interactions to date, with a precision close to the best LEP and SLD results.

  17. Measurement of the structure function of the nearly free neutron using spectator tagging in inelastic <mi mathvariant='normal'>Hmi>2 ( <mi>e>, <mi>emi>'<mi>ps> ) <mi>X> scattering with CLAS

    SciTech Connect (OSTI)

    Tkachenko, S.; Baillie, N.; Kuhn, S. E.; Zhang, J.; Arrington, J.; Bosted, P.; Bltmann, S.; Christy, M. E.; Dutta, D.; Ent, R.; Fenker, H.; Griffioen, K. A.; Ispiryan, M.; Kalantarians, N.; Keppel, C. E.; Melnitchouk, W.; Tvaskis, V.; Adhikari, K. P.; Aghasyan, M.; Amaryan, M. J.; Anefalos Pereira, S.; Avakian, H.; Ball, J.; Baltzell, N. A.; Battaglieri, M.; Bedlinskiy, I.; Biselli, A. S.; Briscoe, W. J.; Brooks, W. K.; Burkert, V. D.; Carman, D. S.; Celentano, A.; Chandavar, S.; Charles, G.; Cole, P. L.; Contalbrigo, M.; Cortes, O.; Crede, V.; D'Angelo, A.; Dashyan, N.; De Vita, R.; De Sanctis, E.; Deur, A.; Djalali, C.; Dodge, G. E.; Doughty, D.; Dupre, R.; Egiyan, H.; El Alaoui, A.; El Fassi, L.; Elouadrhiri, L.; Eugenio, P.; Fedotov, G.; Fleming, J. A.; Garillon, B.; Gevorgyan, N.; Ghandilyan, Y.; Gilfoyle, G. P.; Giovanetti, K. L.; Girod, F. X.; Goetz, J. T.; Golovatch, E.; Gothe, R. W.; Guidal, M.; Guo, L.; Hafidi, K.; Hakobyan, H.; Hanretty, C.; Harrison, N.; Hattawy, M.; Hicks, K.; Ho, D.; Holtrop, M.; Hyde, C. E.; Ilieva, Y.; Ireland, D. G.; Ishkhanov, B. S.; Jo, H. S.; Keller, D.; Khandaker, M.; Kim, A.; Kim, W.; King, P. M.; Klein, A.; Klein, F. J.; Koirala, S.; Kubarovsky, V.; Kuleshov, S. V.; Lenisa, P.; Lewis, S.; Livingston, K.; Lu, H.; MacCormick, M.; MacGregor, I. J. D.; Markov, N.; Mayer, M.; McKinnon, B.; Mineeva, T.; Mirazita, M.; Mokeev, V.; Montgomery, R. A.; Moutarde, H.; Munoz Camacho, C.; Nadel-Turonski, P.; Niccolai, S.; Niculescu, G.; Niculescu, I.; Osipenko, M.; Pappalardo, L. L.; Paremuzyan, R.; Park, K.; Pasyuk, E.; Phillips, J. J.; Pisano, S.; Pogorelko, O.; Pozdniakov, S.; Price, J. W.; Procureur, S.; Protopopescu, D.; Puckett, A. J. R.; Rimal, D.; Ripani, M.; Rizzo, A.; Rosner, G.; Rossi, P.; Roy, P.; Sabati, F.; Schott, D.; Schumacher, R. A.; Seder, E.; Senderovich, I.; Sharabian, Y. G.; Simonyan, A.; Smith, G. D.; Sober, D. I.; Sokhan, D.; Stepanyan, S.; Stepanyan, S. S.; Strauch, S.; Tang, W.; Ungaro, M.; Vlassov, A. V.; Voskanyan, H.; Voutier, E.; Walford, N. K.; Watts, D.; Wei, X.; Weinstein, L. B.; Wood, M. H.; Zana, L.; Zonta, I.

    2014-04-24

    In this study, much less is known about neutron structure than that of the proton due to the absence of free neutron targets. Neutron information is usually extracted from data on nuclear targets such as deuterium, requiring corrections for nuclear binding and nucleon off-shell effects. These corrections are model dependent and have significant uncertainties, especially for large values of the Bjorken scaling variable x. As a consequence, the same data can lead to different conclusions, for example, about the behavior of the d quark distribution in the proton at large x.

  18. FRIB Brief

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

    TAMU SHE 2015 Slide 1 Opportunities to study the SHE production mechanism with rare isotopes at the ReA3 facility Zach Kohley National Superconducting Cyclotron Laboratory Department of Chemistry Michigan State University, E. Lansing, MI International Symposium Super Heavy Nuclei Texas A&M University, College Station, TX March 31-April 2, 2015 TAMU SHE 2015 Slide 2 Outline * Intro - Fusion with RIBs * ReA3 Facility @ NSCL * What can we do NOW with RIBs? * Coincident Fission Fragment Detector

  19. Workplace Charging Challenge Partner: Schneider Electric | Department of

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

    Energy Schneider Electric Workplace Charging Challenge Partner: Schneider Electric Workplace Charging Challenge Partner: Schneider Electric Joined the Challenge: March 2013 Headquarters: Palatine, IL Charging Locations: Cedar Rapids, IA; Palatine, IL; O'Fallon, MO; Des Plaines, IL; Knightdale, NC; West Kingston, RI; North Andover, MA; Billerica, MA; Nashville, TN; LaVergne, TN; Smryna, TN; Clovis, CA; Costa Mesa, CA; Carrollton, TX; Seneca, SC; Lexington, KY; Detroit, MI Domestic Employees:

  20. Workplace Charging Challenge Partner: Volkswagen Group of America |

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

    Department of Energy Volkswagen Group of America Workplace Charging Challenge Partner: Volkswagen Group of America Workplace Charging Challenge Partner: Volkswagen Group of America Joined the Challenge: July 2014 Headquarters: Herndon, VA Charging Locations: Herndon, VA; Oxnard, CA; Belmont, CA; Allendale, NJ; Maricopa, AZ; Auburn Hills, MI; Golden, CO; Clearwater, FL; Buffalo Grove, IL; Davie, FL; Irving, TX; Livermore, CA; Atlanta, GA; Dublin, OH; Marlborough, MA; Renton, WA; Santa Monica,

  1. NATURAL GAS FROM SHALE: Questions and Answers Shale Gas Glossary

    Energy Savers [EERE]

    Glossary Acquifer - A single underground geological formation, or group of formations, containing water. Antrim Shale - A shale deposit located in the northern Michigan basin that is a Devonian age rock formation lying at a relatively shallow depth of 1,000 feet. Gas has been produced from this formation for several decades primarily via vertical, rather than horizontal, wells. The Energy Information Administration (EIA) estimates the technically recoverable Antrim shale resource at 20 trillion

  2. Annual Energy Outlook 2015 - Appendix F

    Gasoline and Diesel Fuel Update (EIA)

    7 U.S. Energy Information Administration | Annual Energy Outlook 2015 Regional maps Figure F6. Coal supply regions WA ID OR CA NV UT TX OK AR MO LA MS AL GA FL TN SC NC KY VA WV WY CO SD ND MI MN WI IL IN OH MD PA NJ DE CT MA NH VT NY ME RI MT NE IA KS MI AZ NM 500 0 SCALE IN MILES APPALACHIA Northern Appalachia Central Appalachia Southern Appalachia INTERIOR NORTHERN GREAT PLAINS Eastern Interior Western Interior Gulf Lignite Dakota Lignite Western Montana Wyoming, Northern Powder River Basin

  3. AMENDMENT OF SOLlClTATlONlMODlFlCATlON OF CONTRACT I A

    National Nuclear Security Administration (NNSA)

    A . ID 'ODE Babcock & Wilcox Technical Services Pantex, LLC PO Box 30020 Amarillo, TX 79120 PAGE 1 OF 2 PAGES MI83 I April 1,2009 6. ISSUED BY CODE U.S. Department of Energy National Nuclear Security Administration Service Center Property and Mi30 Contract Support Department P.O. Box 5400 Albuquerque, NM 87185-5400 I I 9B. DATED (SEE ITEM 11) 2. AMENDMENTIMODIFICATION NO. 1 3. EFFECTIVE DATE 1 4. REQUISITIONIPURCHASE 1 5. PROJECT NO. (If a ~ ~ l i c a b l e ) 10A. MODIFICATION OF

  4. Comprehensive description of <mi>J/?> production in proton-proton collisions at collider energies

    SciTech Connect (OSTI)

    Ma, Yan -Qing; Venugopalan, Raju

    2014-11-04

    We employ a small x Color Glass Condensate + Non-Relativistic QCD (NRQCD) formalism to compute J/? production at low p? in proton-proton collisions at collider energies. Very good agreement is obtained for total cross-sections, rapidity distributions and low momentum p? distributions. Similar agreement is obtained for ?' production. We observe an overlap region in p? where our results match smoothly to those obtained in a next-to-leading order (NLO) collinearly factorized NRQCD formalism. The relative contribution of color singlet and color octet contributions can be quantified in the CGC+NRQCD framework, with the former contributing approximately 10% of the total cross-section.

  5. Comprehensive amplitude analysis of <mi>γγ><mimi>+<mimi>-,<mi>π>0<mi>π>0 and <mi>K>¯<mi>K> below 1.5 GeV

    SciTech Connect (OSTI)

    Dai, Ling-Yun; Pennington, Michael R.

    2014-08-15

    In this paper we perform an amplitude analysis of essentially all published pion and kaon pair production data from two photon collisions below 1.5 GeV. This includes all the high statistics results from Belle, as well as older data from Mark II at SLAC, CELLO at DESY, Crystal Ball at SLAC. The purpose of this analysis is to provide as close to a model-independent determination of the γγ to meson pair amplitudes as possible. Having data with limited angular coverage, typically |cosθ| < 0.6-0.8, and no polarization information for reactions in which spin is an essential complication, the determination of the underlying amplitudes might appear an intractable problem. However, imposing the basic constraints required by analyticity, unitarity, and crossing-symmetry makes up for the experimentally missing information. Above 1.5 GeV multi-meson production channels become important and we have too little information to resolve the amplitudes. Nevertheless, below 1.5 GeV the two photon production of hadron pairs serves as a paradigm for the application of S-matrix techniques. Final state interactions among the meson pairs is critical to this analysis. To fix these, we include the latest ππ → ππ, K⁻K scattering amplitudes given by dispersive analyses, supplemented in the K⁻K threshold region by the recent precision Dalitz plot analysis from BaBar. With these hadronic amplitudes built into unitarity, we can constrain the overall description of γγ → ππ and K⁻K datasets, both integrated and differential cross-sections, including the high statistics charged and neutral pion data from Belle. A region of solutions is found for the γγ → ππ partial waves with both isospin 0 and 2. Since this analysis invokes coupled hadronic channels, even the relatively poor integrated cross-section data on γγ → K⁻K narrows the patch of solutions to essentially a single form. For this we present the complete partial wave amplitudes, show how well they fit all the available data, and give the two photon couplings of scalar and tensor resonances that appear.

  6. Spectroscopy of <mi mathvariant='normal'>Limi>Λ>9 by electroproduction

    SciTech Connect (OSTI)

    Urciuoli, G. M.; Cusanno, F.; Marrone, S.; Acha, A.; Ambrozewicz, P.; Aniol, K. A.; Baturin, P.; Bertin, P. Y.; Benaoum, H.; Blomqvist, K. I.; Boeglin, W. U.; Breuer, H.; Brindza, P.; Bydžovský, P.; Camsonne, A.; Chang, C. C.; Chen, J.-P.; Choi, Seonho; Chudakov, E. A.; Cisbani, E.; Colilli, S.; Coman, L.; Craver, B. J.; De Cataldo, G.; de Jager, C. W.; De Leo, R.; Deur, A. P.; Ferdi, C.; Feuerbach, R. J.; Folts, E.; Fratoni, R.; Frullani, S.; Garibaldi, F.; Gayou, O.; Giuliani, F.; Gomez, J.; Gricia, M.; Hansen, J. O.; Hayes, D.; Higinbotham, D. W.; Holmstrom, T. K.; Hyde, C. E.; Ibrahim, H. F.; Iodice, M.; Jiang, X.; Kaufman, L. J.; Kino, K.; Kross, B.; Lagamba, L.; LeRose, J. J.; Lindgren, R. A.; Lucentini, M.; Margaziotis, D. J.; Markowitz, P.; Meziani, Z. E.; McCormick, K.; Michaels, R. W.; Millener, D. J.; Miyoshi, T.; Moffit, B.; Monaghan, P. A.; Moteabbed, M.; Camacho, C. Muñoz; Nanda, S.; Nappi, E.; Nelyubin, V. V.; Norum, B. E.; Okasyasu, Y.; Paschke, K. D.; Perdrisat, C. F.; Piasetzky, E.; Punjabi, V. A.; Qiang, Y.; Reimer, P. E.; Reinhold, J.; Reitz, B.; Roche, R. E.; Rodriguez, V. M.; Saha, A.; Santavenere, F.; Sarty, A. J.; Segal, J.; Shahinyan, A.; Singh, J.; Širca, S.; Snyder, R.; Solvignon, P. H.; Sotona, M.; Subedi, R.; Sulkosky, V. A.; Suzuki, T.; Ueno, H.; Ulmer, P. E.; Veneroni, P.; Voutier, E.; Wojtsekhowski, B. B.; Zheng, X.; Zorn, C.

    2015-03-01

    Background: In the absence of accurate data on the free two-body hyperon-nucleon interaction, the spectra of hypernuclei can provide information on the details of the effective hyperon-nucleon interaction. Purpose: To obtain a high-resolution spectrum for the 9Be(e,e'K+)9ΛLi reaction. Method: Electroproduction of the hypernucleus 9ΛLi has been studied for the first time with sub-MeV energy resolution in Hall A at Jefferson Lab on a 9Be target. In order to increase the counting rate and to provide unambiguous kaon identification, two superconducting septum magnets and a Ring Imaging CHerenkov detector (RICH) were added to the Hall A standard equipment. Results: The cross section to low-lying states of 9ΛLi is concentrated within 3 MeV of the ground state and can be fitted with four peaks. The positions of the doublets agree with theory while a disagreement could exist with respect to the relative strengths of the peaks in the doublets. A Λ separation energy, BΛ, of 8.36±0.08 (stat.) ±0.08 (syst.) MeV was measured, in agreement with an earlier experiment.

  7. Detroit, MI Natural Gas Exports to Canada

    Gasoline and Diesel Fuel Update (EIA)

    275 43,690 50,347 50,439 46,981 37,528 1996-2015 Pipeline Prices 4.69 4.26 3.10 4.04 5.36 2.91

  8. Chiral symmetry and <mi>π>-<mi>π> scattering in the Covariant Spectator Theory

    SciTech Connect (OSTI)

    Biernat, Elmar P.; Peña, M. T.; Ribeiro, J. E.; Stadler, Alfred; Gross, Franz

    2014-11-14

    The π-π scattering amplitude calculated with a model for the quark-antiquark interaction in the framework of the Covariant Spectator Theory (CST) is shown to satisfy the Adler zero constraint imposed by chiral symmetry. The CST formalism is established in Minkowski space and our calculations are performed in momentum space. We prove that the axial-vector Ward-Takahashi identity is satisfied by our model. Then we show that, similarly to what happens within the Bethe-Salpeter formalism, application of the axial-vector Ward Takahashi identity to the CST π-π scattering amplitude allows us to sum the intermediate quark-quark interactions to all orders. Thus, the Adler self-consistency zero for π-π scattering in the chiral limit emerges as the result for this sum.

  9. Microsoft Word - MI.01-8.doc

    Office of Legacy Management (LM)

    ORNL/RASA-96/7 Independent Radiological Verification Survey Results for the Remedial Action Performed at the Former Bridgeport Brass Company Facility, Adrian, Michigan (AD001V) M. E. Murray S. P. McKenzie R. F. Carrier C. A. Johnson ORNL/RASA-96/7 LIFE SCIENCES DIVISION Environmental Restoration and Waste Management Non-Defense Programs (Certification Documentation Review, Investigation, and Completion: Internal Activity No. 14B477101) Independent Radiological Verification Survey Results for the

  10. Preferential Eu Site Occupation and Its Consequences in the Ternary Luminescent Halides<mi>AB>2<mi mathvariant='normal'>Imi>5:<mi>Eu>2+(<mi>Ami>=<mi>Limi>Cs>;<mi>B=Sr>, Ba)

    SciTech Connect (OSTI)

    Fang, C.  M.; Biswas, Koushik

    2015-07-22

    Several rare-earth-doped, heavy-metal halides have recently been identified as potential next-generation luminescent materials with high efficiency at low cost. AB2I5:Eu2+ (A=Li–Cs; B=Sr, Ba) is one such family of halides. Its members, such as CsBa2I5:Eu2+ and KSr2I5:Eu2+, are currently being investigated as high-performance scintillators with improved sensitivity, light yield, and energy resolution less than 3% at 662 keV. Within the AB2I5 family, our first-principles-based calculations reveal two remarkably different trends in Eu site occupation. The substitutional Eu ions occupy both eightfold-coordinated B1(VIII) and the sevenfold-coordinated B2(VII) sites in the Sr-containing compounds. However, in the Ba-containing crystals, Eu ions strongly prefer the B2(VII)sites. This random versus preferential distribution of Eu affects their electronic properties. The calculations also suggest that in the Ba-containing compounds one can expect the formation of Eu-rich domains. These results provide atomistic insight into recent experimental observations about the concentration and temperature effects in Eu-doped CsBa2I5. We discuss the implications of our results with respect to luminescent properties and applications. We also hypothesize Sr, Ba-mixed quaternary iodides ABaVIIISrVIII5:Eu as scintillators having enhanced homogeneity and electronic properties.

  11. Effective tight-binding model for <mi>MX>2 under electric and magnetic fields

    SciTech Connect (OSTI)

    Shanavas, Kavungal Veedu; Satpathy, S.

    2015-06-15

    We present a systematic method for developing a five band Hamiltonian for the metal d orbitals that can be used to study the effect of electric and magnetic fields on multilayer MX2 (M=Mo,W and X=S,Se) systems. On a hexagonal lattice of d orbitals, the broken inversion symmetry of the monolayers is incorporated via fictitious s orbitals at the chalcogenide sites. A tight-binding Hamiltonian is constructed and then downfolded to get effective d orbital overlap parameters using quasidegenerate perturbation theory. The steps to incorporate the effects of multiple layers, external electric and magnetic fields are also detailed. We find that an electric field produces a linear-k Rashba splitting around the Γ point, while a magnetic field removes the valley pseudospin degeneracy at the ±K points. Lastly, our model provides a simple tool to understand the recent experiments on electric and magnetic control of valley pseudospin in monolayer dichalcogendies.

  12. Enhanced <mi>γ> -Ray Emission from Neutron Unbound States Populated in <mi>β> Decay

    SciTech Connect (OSTI)

    Tain, J. L.; Valencia, E.; Algora, A.; Agramunt, J.; Rubio, B.; Rice, S.; Gelletly, W.; Regan, P.; Zakari-Issoufou, A. -A.; Fallot, M.; Porta, A.; Rissanen, J.; Eronen, T.; Äystö, J.; Batist, L.; Bowry, M.; Bui, V. M.; Caballero-Folch, R.; Cano-Ott, D.; Elomaa, V. -V.; Estevez, E.; Farrelly, G. F.; Garcia, A. R.; Gomez-Hornillos, B.; Gorlychev, V.; Hakala, J.; Jordan, M. D.; Jokinen, A.; Kolhinen, V. S.; Kondev, F. G.; Martínez, T.; Mendoza, E.; Moore, I.; Penttilä, H.; Podolyák, Zs.; Reponen, M.; Sonnenschein, V.; Sonzogni, A. A.

    2015-08-01

    Total absorption spectroscopy was used to investigate the β -decay intensity to states above the neutron separation energy followed by γ -ray emission in 87,88Br and 94Rb. Accurate results were obtained thanks to the careful control of systematic errors. An unexpectedly large γ intensity was observed in all three cases extending well beyond the excitation energy region where neutron penetration is hindered by low neutron energy. The γ branching as a function of excitation energy was compared to Hauser-Feshbach model calculations. For 87Br and 88Br the branching reaches 57% and 20% respectively, and could be explained as a nuclear structure effect. Some of the states populated in the daughter can only decay through the emission of a large orbital angular momentum neutron with a strongly reduced barrier penetrability. In the case of neutron-rich 94Rb the observed 4.5% branching is much larger than the calculations performed with standard nuclear statistical model parameters, even after proper correction for fluctuation effects on individual transition widths. The difference can be reconciled introducing an enhancement of one order-of-magnitude in the photon strength to neutron strength ratio. An increase in the photon strength function of such magnitude for very neutron-rich nuclei, if it proved to be correct, leads to a similar increase in the (n, γ) cross section that would have an impact on r process abundance calculations.

  13. Detroit, MI Natural Gas Exports to Canada

    Gasoline and Diesel Fuel Update (EIA)

    2009 2010 2011 2012 2013 2014 View History Pipeline Volumes 21 79 19 0 165 188 1996-2014 Pipeline Prices 4.53 8.37 5.17 -- 4.44 5.26 1996...

  14. Marysville, MI Natural Gas Exports to Canada

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

    Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2009 2010 2011 2012 2013...

  15. Marysville, MI Natural Gas Exports to Canada

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

    4,925 22,198 41,964 42,866 35,273 24,583 1996-2014 Pipeline Prices 4.85 4.87 4.48 3.18 3.98 5.45 1996...

  16. Evidence for a new excitation at the interface between a high-<mi>Tc> superconductor and a topological insulator

    SciTech Connect (OSTI)

    Zareapour, Parisa; Hayat, Alex; Zhao, Shu Yang F.; Kreshchuk, Michael; Lee, Yong Kiat; Reijnders, Anjan A.; Jain, Achint; Xu, Zhijun; Liu, T. S.; Gu, G. D.; Jia, Shuang; Cava, Robert J.; Burch, Kenneth S.

    2014-12-09

    In this research, high-temperature superconductors exhibit a wide variety of novel excitations. If contacted with a topological insulator, the lifting of spin rotation symmetry in the surface states can lead to the emergence of unconventional superconductivity and novel particles. In pursuit of this possibility, we fabricated high critical-temperature (Tc ~ 85 K) superconductor/topological insulator (Bi?Sr?CaCu?O???/Bi?Te?Se) junctions. Below 75 K, a zero-bias conductance peak (ZBCP) emerges in the differential conductance spectra of this junction. The magnitude of the ZBCP is suppressed at the same rate for magnetic fields applied parallel or perpendicular to the junction. Furthermore, it can still be observed and does not split up to at least 8.5 T. The temperature and magnetic field dependence of the excitation we observe appears to fall outside the known paradigms for a ZBCP.

  17. McAllen, TX Natural Gas Pipeline Exports to Mexico (Dollars per...

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 4.52 4.36 3.99 4.35 4.41 4.53 4.49 4.45 3.99 3.74 3.50 3.34 2012 3.08 2.66 2.41 2.16 2.32 2.54 2.98 3.20 2.83 3.30 3.61 ...

  18. McAllen, TX Natural Gas Pipeline Exports to Mexico (Dollars per...

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 2000's 4.81 3.37 3.42 5.36 5.92 7.49 6.76 6.65 9.07 3.90 2010's 4.52 4.19 2.95 3.84 4.62 ...

  19. Rio Bravo, TX Natural Gas Pipeline Exports (Price) Mexico (Dollars per

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

    Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA 2000's NA NA NA 4.99 6.13 8.02 6.51 6.80 9.11 3.91 2010's 4.42 4.14 2.94 3.88 4.47 2.71

  20. Rio Bravo, TX Natural Gas Pipeline Exports (Price) Mexico (Dollars per

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

    Thousand Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 4.58 4.26 4.13 4.36 4.44 4.69 4.56 4.22 4.03 3.68 3.34 3.32 2012 2.85 2.64 2.34 2.09 2.59 2.56 3.05 3.00 2.97 3.44 3.65 3.52 2013 3.52 3.44 4.02 4.31 4.25 4.03 3.77 3.58 3.80 3.80 3.74 4.31 2014 4.73 6.15 4.95 4.74 4.68 4.75 4.26 4.05 4.07 3.97 4.14 3.54 2015 3.13 2.91 2.93 2.72 2.97 2.85 3.00 2.91 2.72 2.46 2.15 2.06 2016 2.34 2.39

  1. Rio Bravo, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA 2000's NA NA NA 8,986 39,588 40,466 60,432 54,660 49,073 56,035 2010's 62,914 74,790 75,026 78,196 76,154 81,83

  2. Rio Bravo, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 6,264 5,596 5,084 6,745 6,527 7,001 6,404 7,024 5,603 5,556 6,129 6,857 2012 7,001 6,473 5,109 4,087 4,285 7,082 6,586 6,845 7,001 7,306 6,482 6,770 2013 5,681 6,205 5,607 6,193 7,167 6,327 7,125 7,201 6,390 6,810 6,945 6,546 2014 5,377 4,717 6,745 6,735 7,381 6,865 6,894 6,408 6,520 6,460 5,578 6,475 2015 6,981 6,575 6,308 5,147 6,340 5,880 7,442 6,641 7,325 7,558 7,837 7,802 2016 7,096 6,55

  3. Rio Grande, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 8,045 310,965

  4. Rio Grande, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 8,045 2015 15,984 17,668 21,372 22,842 23,041 24,529 29,766 30,441 29,787 31,090 29,995 34,452 2016 31,055 38,906

  5. Roma, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA 2000's NA NA NA 62,591 63,331 37,517 20,476 23,152 24,905 20,042 2010's 36,813 65,794 133,769 138,340 154,471 168,049

  6. Roma, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 5,096 4,366 5,682 7,739 7,085 7,322 6,867 4,309 3,565 3,941 3,724 6,098 2012 7,203 6,395 9,986 11,277 12,777 12,656 12,587 12,852 12,403 12,529 11,604 11,500 2013 12,364 10,749 12,263 12,320 13,026 12,678 12,542 12,790 11,100 10,410 9,480 8,619 2014 11,008 11,039 12,280 11,962 12,995 12,455 12,784 12,812 13,937 15,124 15,124 12,951 2015 12,494 10,114 11,377 12,397 14,689 15,053 15,779 16,165 15,423 15,404 14,585 14,568 2016 13,965 11,

  7. TX, RRC District 1 Associated-Dissolved Natural Gas Proved Reserves, Wet

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

    After Lease Separation 67 267 900 2,625 3,676 4,698 1979-2014 Adjustments -2 -15 -15 70 156 140 1979-2014 Revision Increases 4 29 119 335 488 702 1979-2014 Revision Decreases 3 16 64 215 172 397 1979-2014 Sales 0 0 10 5 82 42 2000-2014 Acquisitions 0 6 9 12 126 65 2000-2014 Extensions 14 148 601 1,599 771 902 1979-2014 New Field Discoveries 0 63 22 38 2 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 2 1 11 16 1979-2014 Estimated Production 6 15 31 110 249 36

  8. TX, RRC District 1 Crude Oil plus Lease Condensate Proved Reserves

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

    96 263 893 2,031 2,360 2,887 2009-2014 Adjustments -3 -20 7 -19 -60 83 2009-2014 Revision Increases 19 16 95 302 288 330 2009-2014 Revision Decreases 19 10 52 253 237 262 2009-2014 Sales 0 4 33 7 90 56 2009-2014 Acquisitions 0 9 33 6 123 86 2009-2014 Extensions 8 137 593 1,194 484 591 2009-2014 New Field Discoveries 4 54 29 19 2 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 2 8 11 18 2009-2014 Estimated Production 10 15 44 112 192 263

  9. TX, RRC District 1 Lease Condensate Proved Reserves, Reserve Changes, and

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

    Production 4 35 211 320 304 392 1979-2014 Adjustments 5 -5 1 1 -11 -5 2009-2014 Revision Increases 1 2 37 104 97 113 2009-2014 Revision Decreases 1 3 1 95 107 33 2009-2014 Sales 0 4 31 0 2 6 2009-2014 Acquisitions 0 4 30 0 7 7 2009-2014 Extensions 1 16 151 125 38 58 2009-2014 New Field Discoveries 4 12 1 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 1 1 12 26 38 4

  10. TX, RRC District 1 Natural Gas Reserves Summary as of Dec. 31

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

    523 2,599 6,127 9,141 8,118 12,431 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 1,456 2,332 5,227 6,516 4,442 7,733 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 67 267 900 2,625 3,676 4,698 1979-2014 Dry Natural Gas 1,398 2,399 5,910 8,868 7,784 11,945

  11. TX, RRC District 1 Nonassociated Natural Gas Proved Reserves, Wet After

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

    Lease Separation 456 2,332 5,227 6,516 4,442 7,733 1979-2014 Adjustments 5 -95 -42 20 120 -73 1979-2014 Revision Increases 110 430 2,184 1,620 702 3,462 1979-2014 Revision Decreases 110 331 116 1,380 2,783 511 1979-2014 Sales 38 505 1,227 28 13 114 2000-2014 Acquisitions 55 445 1,172 8 6 115 2000-2014 Extensions 141 960 1,117 1,374 352 936 1979-2014 New Field Discoveries 390 63 2 1 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 16 0 0 0 0 1979-2014 Estimated Production 84 107 195

  12. TX, RRC District 1 Shale Gas Proved Reserves, Reserves Changes, and

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

    Production 435 1,564 5,123 8,340 7,357 11,729 2007-2014 Adjustments 5 8 0 47 315 129 2009-2014 Revision Increases 1 322 2,141 1,852 1,083 4,056 2009-2014 Revision Decreases 0 251 48 1,272 2,818 791 2009-2014 Sales 0 409 1,132 4 84 120 2009-2014 Acquisitions 0 401 1,130 6 105 140 2009-2014 Extensions 85 971 1,604 2,911 1,046 1,765 2009-2014 New Field Discoveries 353 114 20 39 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 14 0 0 0 15 2009-2014 Estimated Production 11 41 156 362 630

  13. TX, RRC District 10 Associated-Dissolved Natural Gas Proved Reserves, Wet

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

    After Lease Separation 610 569 898 934 1,084 1,214 1979-2014 Adjustments 20 -20 -24 42 2 48 1979-2014 Revision Increases 89 97 293 84 219 219 1979-2014 Revision Decreases 49 193 41 310 384 310 1979-2014 Sales 8 0 40 0 13 41 2000-2014 Acquisitions 18 8 6 49 248 133 2000-2014 Extensions 106 124 204 261 159 206 1979-2014 New Field Discoveries 0 0 0 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 18 0 1979-2014 Estimated Production 48 57 69 90 99 125

  14. TX, RRC District 10 Coalbed Methane Proved Reserves, Reserves Changes, and

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

    Production 8 7 7 2005-2014 Adjustments 0 0 0 9 0 5 2009-2014 Revision Increases 0 0 0 0 0 0 2009-2014 Revision Decreases 0 0 0 0 0 4 2009-2014 Sales 0 0 0 0 0 0 2009-2014 Acquisitions 0 0 0 0 0 0 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 0 0 0 1 1 1

  15. TX, RRC District 10 Crude Oil plus Lease Condensate Proved Reserves

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

    98 243 290 347 351 363 2009-2014 Adjustments -3 -12 -3 10 -14 25 2009-2014 Revision Increases 52 63 70 66 93 61 2009-2014 Revision Decreases 18 54 51 80 81 109 2009-2014 Sales 1 0 30 1 59 34 2009-2014 Acquisitions 2 3 14 27 56 63 2009-2014 Extensions 39 67 75 75 47 46 2009-2014 New Field Discoveries 0 0 1 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 1 0 5 0 2009-2014 Estimated Production 16 22 30 40 43 40

  16. TX, RRC District 10 Lease Condensate Proved Reserves, Reserve Changes, and

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

    Production 104 140 139 143 138 167 1979-2014 Adjustments 4 -4 1 6 5 5 2009-2014 Revision Increases 25 38 18 26 43 36 2009-2014 Revision Decreases 13 27 38 44 26 32 2009-2014 Sales 1 0 19 1 48 24 2009-2014 Acquisitions 0 2 10 8 19 44 2009-2014 Extensions 16 38 42 27 20 14 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 2 0 2009-2014 Estimated Production 8 11 15 18 20 14

  17. TX, RRC District 10 Natural Gas Reserves Summary as of Dec. 31

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

    7,594 8,484 8,373 8,007 7,744 8,354 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 6,984 7,915 7,475 7,073 6,660 7,140 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 610 569 898 934 1,084 1,214 1979-2014 Dry Natural Gas 6,882 7,663 7,513 7,253 7,034 7,454

  18. TX, RRC District 10 Nonassociated Natural Gas Proved Reserves, Wet After

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

    Lease Separation 6,984 7,915 7,475 7,073 6,660 7,140 1979-2014 Adjustments 223 -144 -5 213 23 233 1979-2014 Revision Increases 492 1,288 593 1,044 762 801 1979-2014 Revision Decreases 1,120 868 1,533 2,370 1,123 923 1979-2014 Sales 42 145 1,174 146 574 1,513 2000-2014 Acquisitions 57 99 639 692 647 1,936 2000-2014 Extensions 817 1,274 1,676 846 426 530 1979-2014 New Field Discoveries 0 0 4 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 15 0 83 0 1979-2014 Estimated Production

  19. TX, RRC District 10 Shale Gas Proved Reserves, Reserves Changes, and

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

    Production 0 0 0 37 37 66 2007-2014 Adjustments 0 0 -1 11 6 36 2009-2014 Revision Increases 0 0 0 31 0 1 2009-2014 Revision Decreases 0 0 0 0 0 0 2009-2014 Sales 0 0 0 0 1 0 2009-2014 Acquisitions 0 0 0 0 0 0 2009-2014 Extensions 0 0 1 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 0 0 0 5 5 8

  20. TX, RRC District 2 Onshore Associated-Dissolved Natural Gas Proved

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

    Reserves, Wet After Lease Separation 72 134 924 1,999 2,292 2,722 1979-2014 Adjustments 15 -13 57 23 -56 44 1979-2014 Revision Increases 8 35 61 230 388 272 1979-2014 Revision Decreases 30 15 21 157 652 198 1979-2014 Sales 0 0 8 1 81 578 2000-2014 Acquisitions 0 3 235 42 118 595 2000-2014 Extensions 11 67 440 1,022 769 515 1979-2014 New Field Discoveries 12 1 0 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 86 53 23 114 1979-2014 Estimated Production 16 16 60 137 216 33

  1. TX, RRC District 2 Onshore Crude Oil plus Lease Condensate Proved Reserves

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

    66 154 691 1,508 1,857 2,110 2009-2014 Adjustments -7 -2 26 -11 -48 -34 2009-2014 Revision Increases 8 14 44 148 327 178 2009-2014 Revision Decreases 6 5 28 51 417 198 2009-2014 Sales 0 0 9 1 50 387 2009-2014 Acquisitions 0 2 215 50 105 394 2009-2014 Extensions 13 72 296 761 590 486 2009-2014 New Field Discoveries 0 22 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 1 0 39 28 12 48 2009-2014 Estimated Production 10 15 46 107 170 234

  2. TX, RRC District 2 Onshore Natural Gas Reserves Summary as of Dec. 31

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

    909 2,235 3,690 5,985 6,640 7,524 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 1,837 2,101 2,766 3,986 4,348 4,802 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 72 134 924 1,999 2,292 2,722 1979-2014 Dry Natural Gas 1,800 2,090 3,423 5,462 5,910 6,559

  3. TX, RRC District 2 Onshore Nonassociated Natural Gas Proved Reserves, Wet

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

    After Lease Separation 837 2,101 2,766 3,986 4,348 4,802 1979-2014 Adjustments -101 18 153 15 -39 -1 1979-2014 Revision Increases 194 321 397 212 719 454 1979-2014 Revision Decreases 364 308 572 516 990 642 1979-2014 Sales 23 19 167 11 335 944 2000-2014 Acquisitions 5 29 449 172 361 859 2000-2014 Extensions 80 123 639 1,659 1,023 1,162 1979-2014 New Field Discoveries 0 327 0 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 13 10 36 23 7 4 1979-2014 Estimated Production 259 237 270 334

  4. TX, RRC District 2 Onshore Shale Gas Proved Reserves, Reserves Changes, and

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

    Production 2010 2011 2012 2013 2014 View History Proved Reserves as of Dec. 31 395 1,692 4,743 5,595 6,648 2010-2014 Adjustments 6 237 494 40 79 2010-2014 Revision Increases 6 388 326 839 583 2010-2014 Revision Decreases 5 402 320 1,433 705 2010-2014 Sales 0 61 0 198 1,403 2010-2014 Acquisitions 2 38 210 357 1,402 2010-2014 Extensions 109 1,157 2,604 1,692 1,639 2010-2014 New Field Discoveries 282 0 0 0 0 2010-2014 New Reservoir Discoveries in Old Fields 2 81 64 29 107 2010-2014 Estimated

  5. TX, RRC District 3 Onshore Associated-Dissolved Natural Gas Proved

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

    Reserves, Wet After Lease Separation 476 466 399 464 797 723 1979-2014 Adjustments -14 34 1 81 145 -256 1979-2014 Revision Increases 69 98 58 74 280 128 1979-2014 Revision Decreases 57 54 52 57 104 70 1979-2014 Sales 34 40 43 18 29 17 2000-2014 Acquisitions 57 11 6 30 60 62 2000-2014 Extensions 38 7 9 14 47 154 1979-2014 New Field Discoveries 8 0 11 4 3 12 1979-2014 New Reservoir Discoveries in Old Fields 0 0 0 1 3 0 1979-2014 Estimated Production 70 66 57 64 72 87

  6. TX, RRC District 3 Onshore Crude Oil plus Lease Condensate Proved Reserves

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

    257 272 261 428 500 613 2009-2014 Adjustments -7 26 14 53 -16 -19 2009-2014 Revision Increases 46 53 47 165 80 81 2009-2014 Revision Decreases 29 31 24 43 38 66 2009-2014 Sales 12 42 40 27 22 11 2009-2014 Acquisitions 42 21 15 43 39 59 2009-2014 Extensions 19 29 16 16 73 115 2009-2014 New Field Discoveries 3 2 1 1 1 10 2009-2014 New Reservoir Discoveries in Old Fields 0 1 0 1 3 4 2009-2014 Estimated Production 40 44 40 42 48 60

  7. TX, RRC District 3 Onshore Natural Gas Reserves Summary as of Dec. 31

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

    2,802 2,774 2,490 2,429 2,592 2,483 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 2,326 2,308 2,091 1,965 1,795 1,760 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 476 466 399 464 797 723 1979-2014 Dry Natural Gas 2,616 2,588 2,260 2,154 2,307 2,19

  8. TX, RRC District 3 Onshore Nonassociated Natural Gas Proved Reserves, Wet

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

    After Lease Separation 2,326 2,308 2,091 1,965 1,795 1,760 1979-2014 Adjustments -105 56 -29 164 -99 52 1979-2014 Revision Increases 456 419 355 608 335 290 1979-2014 Revision Decreases 338 288 225 655 215 228 1979-2014 Sales 152 157 259 224 87 143 2000-2014 Acquisitions 147 202 219 175 86 131 2000-2014 Extensions 270 181 106 122 86 97 1979-2014 New Field Discoveries 58 21 6 7 0 18 1979-2014 New Reservoir Discoveries in Old Fields 12 27 4 8 8 23 1979-2014 Estimated Production 475 479 394 331

  9. TX, RRC District 3 Onshore Shale Gas Proved Reserves, Reserves Changes, and

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

    Production 0 0 1 6 24 106 2007-2014 Adjustments 0 0 1 1 -3 35 2009-2014 Revision Increases 0 0 0 1 2 13 2009-2014 Revision Decreases 0 0 0 0 0 7 2009-2014 Sales 0 0 0 0 4 14 2009-2014 Acquisitions 0 0 0 2 0 3 2009-2014 Extensions 0 0 0 1 25 62 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 0 0 0 0 2 10

  10. TX, RRC District 4 Onshore Associated-Dissolved Natural Gas Proved

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

    Reserves, Wet After Lease Separation 96 91 61 99 63 191 1979-2014 Adjustments 5 -1 11 97 -42 -8 1979-2014 Revision Increases 14 14 25 24 35 38 1979-2014 Revision Decreases 32 13 23 30 24 16 1979-2014 Sales 0 1 34 50 11 1 2000-2014 Acquisitions 0 1 4 4 2 114 2000-2014 Extensions 1 9 0 9 13 14 1979-2014 New Field Discoveries 0 0 0 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 1979-2014 Estimated Production 19 14 13 16 9 13

  11. TX, RRC District 4 Onshore Crude Oil plus Lease Condensate Proved Reserves

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

    92 207 222 203 256 257 2009-2014 Adjustments -5 -3 7 46 83 -16 2009-2014 Revision Increases 20 109 54 22 32 27 2009-2014 Revision Decreases 19 15 133 103 78 30 2009-2014 Sales 5 2 14 21 10 5 2009-2014 Acquisitions 3 2 21 4 6 19 2009-2014 Extensions 7 39 96 54 43 31 2009-2014 New Field Discoveries 3 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 1 0 1 0 0 0 2009-2014 Estimated Production 14 15 17 21 23 25

  12. TX, RRC District 4 Onshore Natural Gas Reserves Summary as of Dec. 31

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

    7,057 7,392 10,054 9,566 11,101 12,482 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 6,961 7,301 9,993 9,467 11,038 12,291 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 96 91 61 99 63 191 1979-2014 Dry Natural Gas 6,728 7,014 9,458 8,743 9,640 11,057

  13. TX, RRC District 4 Onshore Nonassociated Natural Gas Proved Reserves, Wet

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

    After Lease Separation 6,961 7,301 9,993 9,467 11,038 12,291 1979-2014 Adjustments -94 38 434 892 803 -117 1979-2014 Revision Increases 798 1,129 2,390 1,032 1,007 1,651 1979-2014 Revision Decreases 1,456 882 1,133 2,238 1,693 872 1979-2014 Sales 273 219 964 552 477 570 2000-2014 Acquisitions 324 189 1,319 68 600 1,182 2000-2014 Extensions 530 984 1,543 1,263 2,264 938 1979-2014 New Field Discoveries 48 25 7 1 0 2 1979-2014 New Reservoir Discoveries in Old Fields 324 3 24 5 1 21 1979-2014

  14. TX, RRC District 4 Onshore Shale Gas Proved Reserves, Reserves Changes, and

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

    Production 78 565 2,611 3,091 4,377 4,991 2007-2014 Adjustments 53 0 185 300 592 11 2009-2014 Revision Increases 0 66 792 253 174 335 2009-2014 Revision Decreases 0 12 295 1,160 819 300 2009-2014 Sales 0 0 75 0 0 20 2009-2014 Acquisitions 0 0 75 0 0 252 2009-2014 Extensions 0 459 1,506 1,392 1,655 717 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 30 0 12 0 0 0 2009-2014 Estimated Production 5 26 154 305 316 381

  15. TX, RRC District 5 Associated-Dissolved Natural Gas Proved Reserves, Wet

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

    After Lease Separation 21 8 40 53 177 185 1979-2014 Adjustments 43 -12 7 8 -16 -30 1979-2014 Revision Increases 7 2 31 3 196 29 1979-2014 Revision Decreases 65 2 2 23 40 4 1979-2014 Sales 0 0 4 0 0 14 2000-2014 Acquisitions 0 0 4 20 0 41 2000-2014 Extensions 0 0 0 10 2 1 1979-2014 New Field Discoveries 0 0 0 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 1979-2014 Estimated Production 4 1 4 5 18 15

  16. TX, RRC District 5 Crude Oil plus Lease Condensate Proved Reserves

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

    4 22 28 65 47 62 2009-2014 Adjustments -4 1 5 1 5 4 2009-2014 Revision Increases 5 3 8 11 1 3 2009-2014 Revision Decreases 1 3 3 3 22 7 2009-2014 Sales 0 0 6 0 0 19 2009-2014 Acquisitions 0 0 6 24 0 19 2009-2014 Extensions 1 0 0 9 4 21 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 3 3 4 5 6 6

  17. TX, RRC District 5 Lease Condensate Proved Reserves, Reserve Changes, and

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

    Production 8 6 6 7 6 5 1979-2014 Adjustments 2 0 1 0 1 0 2009-2014 Revision Increases 1 0 1 3 0 1 2009-2014 Revision Decreases 0 1 1 1 1 1 2009-2014 Sales 0 0 4 0 0 0 2009-2014 Acquisitions 0 0 4 0 0 0 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 1 1 1 1 1

  18. TX, RRC District 5 Natural Gas Reserves Summary as of Dec. 31

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

    22,623 24,694 28,187 17,640 19,531 18,155 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 22,602 24,686 28,147 17,587 19,354 17,970 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 21 8 40 53 177 185 1979-2014 Dry Natural Gas 22,343 24,363 27,843 17,331 19,280 17,880

  19. TX, RRC District 5 Nonassociated Natural Gas Proved Reserves, Wet After

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

    Lease Separation 22,602 24,686 28,147 17,587 19,354 17,970 1979-2014 Adjustments 130 65 646 -951 207 -46 1979-2014 Revision Increases 1,921 1,596 3,708 338 3,185 723 1979-2014 Revision Decreases 1,412 1,290 2,182 8,291 739 1,435 1979-2014 Sales 32 1 10,683 539 94 609 2000-2014 Acquisitions 281 5 10,823 274 581 1,207 2000-2014 Extensions 3,029 3,504 3,071 384 188 195 1979-2014 New Field Discoveries 0 0 2 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 0 3 24 0 1979-2014 Estimated

  20. TX, RRC District 5 Shale Gas Proved Reserves, Reserves Changes, and

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

    Production 3,691 16,032 19,747 11,513 13,592 13,043 2007-2014 Adjustments 657 105 233 -516 -70 261 2009-2014 Revision Increases 928 643 3,094 30 2,922 475 2009-2014 Revision Decreases 587 405 1,405 6,895 334 434 2009-2014 Sales 5 0 5,772 191 32 0 2009-2014 Acquisitions 21 6 5,851 262 520 0 2009-2014 Extensions 2,223 3,045 2,980 332 182 171 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 19 0 2009-2014 Estimated Production 954 1,053 1,266

  1. TX, RRC District 6 Associated-Dissolved Natural Gas Proved Reserves, Wet

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

    After Lease Separation 451 458 471 522 639 383 1979-2014 Adjustments 16 13 38 1 -53 28 1979-2014 Revision Increases 85 23 34 220 78 57 1979-2014 Revision Decreases 34 37 25 119 81 23 1979-2014 Sales 0 0 24 49 9 343 2000-2014 Acquisitions 0 4 19 18 47 60 2000-2014 Extensions 23 37 0 29 173 42 1979-2014 New Field Discoveries 0 0 1 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 1979-2014 Estimated Production 51 33 30 49 38 77

  2. TX, RRC District 6 Crude Oil plus Lease Condensate Proved Reserves

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

    24 240 232 252 267 299 2009-2014 Adjustments 3 3 16 18 -37 19 2009-2014 Revision Increases 38 45 38 17 35 62 2009-2014 Revision Decreases 29 29 43 31 26 27 2009-2014 Sales 3 5 28 18 13 94 2009-2014 Acquisitions 4 11 21 23 26 80 2009-2014 Extensions 8 9 6 30 49 12 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 18 18 18 19 19 20

  3. TX, RRC District 6 Lease Condensate Proved Reserves, Reserve Changes, and

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

    Production 95 104 92 95 83 120 1979-2014 Adjustments 5 1 8 0 -11 3 2009-2014 Revision Increases 24 23 16 7 18 48 2009-2014 Revision Decreases 13 17 27 14 18 14 2009-2014 Sales 2 3 21 1 4 21 2009-2014 Acquisitions 4 8 13 4 4 24 2009-2014 Extensions 6 4 5 14 5 3 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 7 7 6 7 6 6

  4. TX, RRC District 6 Natural Gas Reserves Summary as of Dec. 31

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

    13,257 15,416 15,995 11,726 12,192 12,023 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 12,806 14,958 15,524 11,204 11,553 11,640 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 451 458 471 522 639 383 1979-2014 Dry Natural Gas 12,795 14,886 15,480 11,340 11,655 11,516

  5. TX, RRC District 6 Nonassociated Natural Gas Proved Reserves, Wet After

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

    Lease Separation 12,806 14,958 15,524 11,204 11,553 11,640 1979-2014 Adjustments 426 400 233 -1,035 322 -338 1979-2014 Revision Increases 1,801 2,732 5,023 1,960 2,107 2,009 1979-2014 Revision Decreases 2,271 2,739 5,621 5,261 1,387 1,206 1979-2014 Sales 370 523 4,045 251 440 536 2000-2014 Acquisitions 252 985 4,056 388 551 582 2000-2014 Extensions 1,708 2,213 1,726 984 255 545 1979-2014 New Field Discoveries 0 52 2 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 43 52 277 8 8 0

  6. TX, RRC District 6 Shale Gas Proved Reserves, Reserves Changes, and

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

    Production ,161 4,381 6,584 4,172 4,633 3,979 2007-2014 Adjustments 40 1,968 26 -225 564 -586 2009-2014 Revision Increases 422 1,206 2,322 999 513 774 2009-2014 Revision Decreases 8 1,319 1,860 2,907 283 708 2009-2014 Sales 0 88 879 2 4 76 2009-2014 Acquisitions 0 150 1,673 0 0 5 2009-2014 Extensions 541 1,520 1,303 209 80 207 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 21 2 0 0 0 0 2009-2014 Estimated Production 28 219 382 486 409 270

  7. TX, RRC District 7B Associated-Dissolved Natural Gas Proved Reserves, Wet

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

    After Lease Separation 02 121 133 180 227 277 1979-2014 Adjustments -3 39 -27 66 -59 44 1979-2014 Revision Increases 16 9 39 23 161 30 1979-2014 Revision Decreases 4 14 12 22 34 5 1979-2014 Sales 0 0 0 1 0 0 2000-2014 Acquisitions 0 0 21 0 1 0 2000-2014 Extensions 37 0 6 0 0 4 1979-2014 New Field Discoveries 0 0 0 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 2 0 1979-2014 Estimated Production 12 15 15 19 24 2

  8. TX, RRC District 7B Crude Oil plus Lease Condensate Proved Reserves

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

    102 102 126 134 113 148 2009-2014 Adjustments 9 4 -3 5 -37 39 2009-2014 Revision Increases 7 9 16 19 24 23 2009-2014 Revision Decreases 7 3 3 5 8 17 2009-2014 Sales 0 0 2 1 0 1 2009-2014 Acquisitions 1 0 27 1 10 0 2009-2014 Extensions 1 0 0 0 1 3 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 10 10 11 11 11 12

  9. TX, RRC District 7B Lease Condensate Proved Reserves, Reserve Changes, and

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

    Production 5 4 5 4 3 4 1979-2014 Adjustments 1 0 1 2 -1 2 2009-2014 Revision Increases 1 1 1 0 1 0 2009-2014 Revision Decreases 1 1 1 2 0 0 2009-2014 Sales 0 0 0 0 0 0 2009-2014 Acquisitions 0 0 1 0 0 0 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 1 1 1 1 1 1

  10. TX, RRC District 7B Natural Gas Reserves Summary as of Dec. 31

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

    2,424 2,625 3,887 3,363 3,267 2,695 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 2,322 2,504 3,754 3,183 3,040 2,418 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 102 121 133 180 227 277 1979-2014 Dry Natural Gas 2,077 2,242 3,305 2,943 2,787 2,290

  11. TX, RRC District 7B Nonassociated Natural Gas Proved Reserves, Wet After

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

    Lease Separation 2,322 2,504 3,754 3,183 3,040 2,418 1979-2014 Adjustments 106 48 -38 585 -44 -231 1979-2014 Revision Increases 152 295 417 24 313 209 1979-2014 Revision Decreases 221 256 393 1,101 227 413 1979-2014 Sales 577 3 803 162 21 2 2000-2014 Acquisitions 32 0 2,161 133 16 0 2000-2014 Extensions 335 258 122 234 3 5 1979-2014 New Field Discoveries 0 0 0 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 60 0 1979-2014 Estimated Production 187 160 216 284 243 190

  12. TX, RRC District 7B Shale Gas Proved Reserves, Reserves Changes, and

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

    Production 2,022 2,435 3,466 2,952 2,802 2,204 2007-2014 Adjustments 56 267 -193 567 -106 -258 2009-2014 Revision Increases 119 273 385 17 331 193 2009-2014 Revision Decreases 181 242 358 1,028 212 374 2009-2014 Sales 496 0 748 162 18 0 2009-2014 Acquisitions 24 0 2,011 130 16 0 2009-2014 Extensions 308 255 118 220 1 6 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 56 0 2009-2014 Estimated Production 145 140 184 258 218 165

  13. TX, RRC District 7C Associated-Dissolved Natural Gas Proved Reserves, Wet

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

    After Lease Separation ,706 1,930 2,379 3,076 3,401 4,659 1979-2014 Adjustments 13 41 -11 210 -78 218 1979-2014 Revision Increases 224 228 388 234 459 1,308 1979-2014 Revision Decreases 59 92 264 460 660 1,168 1979-2014 Sales 18 392 143 39 95 40 2000-2014 Acquisitions 56 338 301 84 133 296 2000-2014 Extensions 203 205 309 774 660 956 1979-2014 New Field Discoveries 0 0 0 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 2 11 0 53 121 1 1979-2014 Estimated Production 97 115 131 159 215

  14. TX, RRC District 7C Crude Oil plus Lease Condensate Proved Reserves

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

    509 618 672 891 964 1,298 2009-2014 Adjustments 35 -10 8 63 -23 30 2009-2014 Revision Increases 55 69 77 66 162 363 2009-2014 Revision Decreases 25 37 118 139 271 421 2009-2014 Sales 7 56 56 13 9 14 2009-2014 Acquisitions 25 83 62 30 21 155 2009-2014 Extensions 69 88 121 254 227 309 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 6 0 8 29 0 2009-2014 Estimated Production 32 34 40 50 63 8

  15. TX, RRC District 7C Lease Condensate Proved Reserves, Reserve Changes, and

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

    Production 34 42 23 28 19 22 1979-2014 Adjustments 5 -2 2 8 2 -1 2009-2014 Revision Increases 4 6 13 3 12 9 2009-2014 Revision Decreases 8 6 8 8 19 4 2009-2014 Sales 0 2 26 0 2 2 2009-2014 Acquisitions 1 2 1 1 0 3 2009-2014 Extensions 5 14 2 3 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 3 4 3 2 2 2

  16. TX, RRC District 7C Natural Gas Reserves Summary as of Dec. 31

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

    5,430 5,432 5,236 5,599 5,584 7,103 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 3,724 3,502 2,857 2,523 2,183 2,444 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 1,706 1,930 2,379 3,076 3,401 4,659 1979-2014 Dry Natural Gas 4,827 4,787 4,475 4,890 4,800 6,422

  17. TX, RRC District 7C Nonassociated Natural Gas Proved Reserves, Wet After

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

    Lease Separation 3,724 3,502 2,857 2,523 2,183 2,444 1979-2014 Adjustments 56 84 -184 408 -105 352 1979-2014 Revision Increases 175 380 412 248 347 177 1979-2014 Revision Decreases 444 714 564 814 374 134 1979-2014 Sales 83 261 161 57 56 663 2000-2014 Acquisitions 53 173 17 38 14 684 2000-2014 Extensions 93 358 48 37 0 1 1979-2014 New Field Discoveries 0 0 0 1 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 1979-2014 Estimated Production 273 242 213 195 166 156

  18. TX, RRC District 7C Shale Gas Proved Reserves, Reserves Changes, and

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

    Production 2010 2011 2012 2013 2014 View History Proved Reserves as of Dec. 31 13 27 81 409 1,183 2010-2014 Adjustments 0 -1 1 -1 231 2010-2014 Revision Increases 0 13 20 217 232 2010-2014 Revision Decreases 0 19 9 42 104 2010-2014 Sales 0 0 0 0 1 2010-2014 Acquisitions 3 0 0 0 232 2010-2014 Extensions 0 21 44 166 295 2010-2014 New Field Discoveries 0 0 0 0 0 2010-2014 New Reservoir Discoveries in Old Fields 10 0 0 1 0 2010-2014 Estimated Production 0 0 2 13 111 2010

  19. TX, RRC District 8 Associated-Dissolved Natural Gas Proved Reserves, Wet

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

    After Lease Separation 3,490 4,328 5,082 6,654 7,400 9,095 1979-2014 Adjustments 134 178 -357 339 148 58 1979-2014 Revision Increases 433 575 783 841 1,053 2,161 1979-2014 Revision Decreases 292 532 484 763 1,000 1,487 1979-2014 Sales 102 285 153 165 526 757 2000-2014 Acquisitions 119 805 485 686 545 770 2000-2014 Extensions 341 376 759 1,048 1,019 1,585 1979-2014 New Field Discoveries 1 0 4 8 0 0 1979-2014 New Reservoir Discoveries in Old Fields 25 2 1 2 26 38 1979-2014 Estimated Production

  20. TX, RRC District 8 Crude Oil plus Lease Condensate Proved Reserves

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

    985 2,254 2,709 3,304 3,356 4,142 2009-2014 Adjustments 10 -93 75 69 33 -16 2009-2014 Revision Increases 201 273 309 401 383 948 2009-2014 Revision Decreases 99 149 235 339 471 554 2009-2014 Sales 63 116 125 78 321 232 2009-2014 Acquisitions 87 315 253 242 270 302 2009-2014 Extensions 202 196 332 500 375 605 2009-2014 New Field Discoveries 0 0 2 3 0 0 2009-2014 New Reservoir Discoveries in Old Fields 4 1 0 2 11 16 2009-2014 Estimated Production 121 158 156 205 228 283

  1. TX, RRC District 8 Lease Condensate Proved Reserves, Reserve Changes, and

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

    Production 9 78 71 88 64 59 1979-2014 Adjustments 5 -3 1 1 -1 -23 2009-2014 Revision Increases 4 51 24 15 5 25 2009-2014 Revision Decreases 6 6 37 17 29 5 2009-2014 Sales 0 1 6 1 38 2 2009-2014 Acquisitions 7 16 10 4 13 0 2009-2014 Extensions 3 30 6 20 33 9 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 3 38 5 5 7 9

  2. TX, RRC District 8 Natural Gas Reserves Summary as of Dec. 31

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

    7,440 8,105 8,088 8,963 9,715 11,575 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 3,950 3,777 3,006 2,309 2,315 2,480 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 3,490 4,328 5,082 6,654 7,400 9,095 1979-2014 Dry Natural Gas 6,672 7,206 7,039 7,738 8,629 9,742

  3. TX, RRC District 8 Nonassociated Natural Gas Proved Reserves, Wet After

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

    Lease Separation 3,950 3,777 3,006 2,309 2,315 2,480 1979-2014 Adjustments 150 229 -274 184 -127 9 1979-2014 Revision Increases 491 642 431 451 247 411 1979-2014 Revision Decreases 1,242 894 698 1,031 193 162 1979-2014 Sales 188 124 60 281 158 115 2000-2014 Acquisitions 97 48 69 74 103 147 2000-2014 Extensions 491 262 17 136 358 113 1979-2014 New Field Discoveries 1 0 0 0 0 1 1979-2014 New Reservoir Discoveries in Old Fields 3 0 0 0 3 0 1979-2014 Estimated Production 359 336 256 230 227 2

  4. TX, RRC District 8 Shale Gas Proved Reserves, Reserves Changes, and

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

    Production 24 90 61 583 649 1,125 2007-2014 Adjustments -1 53 -79 249 -21 214 2009-2014 Revision Increases 2 20 45 19 121 138 2009-2014 Revision Decreases 22 0 12 47 112 309 2009-2014 Sales 0 0 0 19 50 8 2009-2014 Acquisitions 0 0 20 215 26 19 2009-2014 Extensions 0 0 2 126 161 500 2009-2014 New Field Discoveries 0 0 0 1 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 3 0 2009-2014 Estimated Production 3 7 5 22 62 78

  5. TX, RRC District 8A Associated-Dissolved Natural Gas Proved Reserves, Wet

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

    After Lease Separation 246 1,170 1,258 1,260 1,315 1,304 1979-2014 Adjustments 76 -67 -12 13 12 2 1979-2014 Revision Increases 168 141 202 111 174 140 1979-2014 Revision Decreases 96 59 33 35 58 56 1979-2014 Sales 8 12 17 30 38 5 2000-2014 Acquisitions 17 4 34 25 43 6 2000-2014 Extensions 2 7 8 16 23 8 1979-2014 New Field Discoveries 0 0 0 1 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 1 1 0 0 1979-2014 Estimated Production 107 90 95 100 101 106

  6. TX, RRC District 8A Crude Oil plus Lease Condensate Proved Reserves

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

    790 1,822 1,800 1,758 1,736 1,668 2009-2014 Adjustments 19 21 13 10 27 37 2009-2014 Revision Increases 172 181 115 103 97 78 2009-2014 Revision Decreases 15 66 90 66 54 63 2009-2014 Sales 8 23 70 60 57 36 2009-2014 Acquisitions 24 12 102 49 51 17 2009-2014 Extensions 4 15 14 17 21 7 2009-2014 New Field Discoveries 1 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 1 13 0 0 2009-2014 Estimated Production 111 108 107 108 107 108

  7. TX, RRC District 8A Lease Condensate Proved Reserves, Reserve Changes, and

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

    Production 10 32 13 14 9 5 1979-2014 Adjustments 1 -3 3 0 1 1 2009-2014 Revision Increases 0 30 1 6 1 0 2009-2014 Revision Decreases 1 6 23 1 1 5 2009-2014 Sales 0 0 0 5 6 0 2009-2014 Acquisitions 5 0 0 0 0 0 2009-2014 Extensions 0 1 1 2 1 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 0 0 1 1 1 0

  8. TX, RRC District 8A Natural Gas Reserves Summary as of Dec. 31

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

    1,289 1,228 1,289 1,280 1,338 1,328 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 43 58 31 20 23 24 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 1,246 1,170 1,258 1,260 1,315 1,304 1979-2014 Dry Natural Gas 1,218 1,164 1,226 1,214 1,269 1,257

  9. TX, RRC District 8A Nonassociated Natural Gas Proved Reserves, Wet After

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

    Lease Separation 43 58 31 20 23 24 1979-2014 Adjustments -1 20 -24 -11 5 5 1979-2014 Revision Increases 2 5 3 2 3 5 1979-2014 Revision Decreases 21 7 5 3 4 6 1979-2014 Sales 0 3 9 1 0 0 2000-2014 Acquisitions 1 0 9 3 1 0 2000-2014 Extensions 6 8 3 1 1 0 1979-2014 New Field Discoveries 0 0 0 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 1979-2014 Estimated Production 7 8 4 2 3 3

  10. TX, RRC District 8A Shale Gas Proved Reserves, Reserves Changes, and

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

    Production 2012 2013 2014 View History Proved Reserves as of Dec. 31 0 0 10 2012-2014 Adjustments 0 0 123 2012-2014 Revision Increases 0 0 0 2012-2014 Revision Decreases 0 0 156 2012-2014 Sales 0 0 0 2012-2014 Acquisitions 0 0 0 2012-2014 Extensions 0 0 44 2012-2014 New Field Discoveries 0 0 0 2012-2014 New Reservoir Discoveries in Old Fields 0 0 0 2012-2014 Estimated Production 0 0 1 2012

  11. TX, RRC District 9 Associated-Dissolved Natural Gas Proved Reserves, Wet

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

    After Lease Separation 422 585 957 1,161 1,093 1,477 1979-2014 Adjustments -76 11 -48 -88 36 342 1979-2014 Revision Increases 16 199 61 53 76 106 1979-2014 Revision Decreases 18 10 8 21 314 5 1979-2014 Sales 6 2 17 5 6 2 2000-2014 Acquisitions 69 4 27 24 0 0 2000-2014 Extensions 302 5 419 352 236 61 1979-2014 New Field Discoveries 0 0 11 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 1979-2014 Estimated Production 23 44 73 111 96 118

  12. TX, RRC District 9 Crude Oil plus Lease Condensate Proved Reserves

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

    49 155 181 177 195 209 2009-2014 Adjustments -24 13 -18 -7 37 20 2009-2014 Revision Increases 29 11 32 13 15 28 2009-2014 Revision Decreases 9 21 17 17 45 22 2009-2014 Sales 12 4 11 13 9 2 2009-2014 Acquisitions 22 10 22 11 15 4 2009-2014 Extensions 45 14 39 31 25 7 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 1 0 2009-2014 Estimated Production 15 17 21 22 21 21

  13. TX, RRC District 9 Lease Condensate Proved Reserves, Reserve Changes, and

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

    Production 5 21 26 19 24 15 1979-2014 Adjustments 1 0 1 -2 2 1 2009-2014 Revision Increases 11 3 6 2 7 1 2009-2014 Revision Decreases 5 7 5 2 4 7 2009-2014 Sales 0 2 4 5 0 2 2009-2014 Acquisitions 0 2 7 1 0 0 2009-2014 Extensions 2 2 2 1 2 1 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 1 0 2009-2014 Estimated Production 2 2 2 2 3 3

  14. TX, RRC District 9 Natural Gas Reserves Summary as of Dec. 31

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

    11,522 13,172 10,920 9,682 10,040 9,760 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 11,100 12,587 9,963 8,521 8,947 8,283 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 422 585 957 1,161 1,093 1,477 1979-2014 Dry Natural Gas 10,904 12,464 10,115 8,894 9,195 8,791

  15. TX, RRC District 9 Nonassociated Natural Gas Proved Reserves, Wet After

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

    Lease Separation 11,100 12,587 9,963 8,521 8,947 8,283 1979-2014 Adjustments 98 345 211 -609 407 102 1979-2014 Revision Increases 628 932 3,016 177 1,110 774 1979-2014 Revision Decreases 514 223 5,998 1,120 380 1,145 1979-2014 Sales 69 95 1,282 380 630 152 2000-2014 Acquisitions 21 44 1,519 282 20 0 2000-2014 Extensions 2,234 1,207 498 712 196 323 1979-2014 New Field Discoveries 0 0 0 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 14 8 0 51 266 0 1979-2014 Estimated Production 702

  16. TX, RRC District 9 Shale Gas Proved Reserves, Reserves Changes, and

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

    Production 10,756 12,573 10,276 9,260 9,580 9,074 2007-2014 Adjustments 179 533 42 -483 378 243 2009-2014 Revision Increases 580 1,044 3,005 200 1,092 800 2009-2014 Revision Decreases 469 191 5,864 1,111 616 1,141 2009-2014 Sales 53 83 1,259 381 629 150 2009-2014 Acquisitions 59 32 1,489 281 20 0 2009-2014 Extensions 2,389 1,199 891 1,054 431 381 2009-2014 New Field Discoveries 0 0 11 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 14 8 0 50 263 0 2009-2014 Estimated Production 643

  17. TX, State Offshore Associated-Dissolved Natural Gas Proved Reserves, Wet

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

    After Lease Separation 3 3 5 6 3 0 1981-2014 Adjustments -1 18 -1 9 -3 -1 1981-2014 Revision Increases 0 0 5 2 0 1 1981-2014 Revision Decreases 1 21 1 2 0 3 1981-2014 Sales 0 0 0 0 0 0 2000-2014 Acquisitions 0 4 0 0 0 0 2000-2014 Extensions 0 0 0 0 0 0 1981-2014 New Field Discoveries 0 0 0 0 0 0 1981-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 1981-2014 Estimated Production 0 1 1 8 0 0 1981

  18. Best Practices Case Study: Imagine Homes - Stillwater Ranch, San Antonio, TX

    SciTech Connect (OSTI)

    none,

    2011-04-01

    This case study describes Imagine Homes, who met Builders Challenge criteria on more than 200 homes in San Antonio with rigid foam exterior sheathing, ducts and air handler in conditioned space in a spray-foam insulated attic, and high-efficiency HVAC, windows, and appliances.

  19. Rio Bravo, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA 2000's NA NA NA 4.99 6.13 8.02 6.51 6.80 9.11 3.91 2010's 4.42 4.14 2.94 3.88 4.47 2.71 Thousand Cubic Feet)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 4.58 4.26 4.13 4.36 4.44 4.69 4.56 4.22 4.03 3.68 3.34 3.32 2012 2.85 2.64 2.34 2.09 2.59 2.56 3.05 3.00 2.97 3.44 3.65 3.52 2013 3.52 3.44 4.02 4.31 4.25 4.03 3.77 3.58 3.80 3.80 3.74 4.31 2014 4.73 6.15 4.95 4.74

  20. Rio Grande, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 8,045 2015 15,984 17,668 21,372 22,842 23,041 24,529 29,766 30,441 29,787 31,090 29,995 34,452 2016 31,055 38,906

  1. Roma, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 5,096 4,366 5,682 7,739 7,085 7,322 6,867 4,309 3,565 3,941 3,724 6,098 2012 7,203 6,395 9,986 11,277 12,777 12,656 12,587 12,852 12,403 12,529 11,604 11,500 2013 12,364 10,749 12,263 12,320 13,026 12,678 12,542 12,790 11,100 10,410 9,480 8,619 2014 11,008 11,039 12,280 11,962 12,995 12,455 12,784 12,812 13,937 15,124 15,124 12,951 2015 12,494 10,114 11,377 12,397 14,689 15,053 15,779 16,165 15,423 15,404 14,585 14,568 2016 13,965 11,742

  2. TX, RRC District 1 Coalbed Methane Proved Reserves, Reserves Changes, and

    Gasoline and Diesel Fuel Update (EIA)

    After Lease Separation 67 267 900 2,625 3,676 4,698 1979-2014 Adjustments -2 -15 -15 70 156 140 1979-2014 Revision Increases 4 29 119 335 488 702 1979-2014 Revision Decreases 3 16 64 215 172 397 1979-2014 Sales 0 0 10 5 82 42 2000-2014 Acquisitions 0 6 9 12 126 65 2000-2014 Extensions 14 148 601 1,599 771 902 1979-2014 New Field Discoveries 0 63 22 38 2 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 2 1 11 16 1979-2014 Estimated Production 6 15 31 110 249 36 Production

    0 0 0

  3. TX, RRC District 5 Coalbed Methane Proved Reserves, Reserves Changes, and

    Gasoline and Diesel Fuel Update (EIA)

    7,057 7,392 10,054 9,566 11,101 12,482 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 6,961 7,301 9,993 9,467 11,038 12,291 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 96 91 61 99 63 191 1979-2014 Dry Natural Gas 6,728 7,014 9,458 8,743 9,640 11,057 After Lease Separation

    6,961 7,301 9,993 9,467 11,038 12,291 1979-2014 Adjustments -94 38 434 892 803 -117 1979-2014 Revision Increases 798 1,129 2,390 1,032 1,007 1,651 1979-2014 Revision Decreases

  4. TX, RRC District 6 Coalbed Methane Proved Reserves, Reserves Changes, and

    Gasoline and Diesel Fuel Update (EIA)

    22,623 24,694 28,187 17,640 19,531 18,155 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 22,602 24,686 28,147 17,587 19,354 17,970 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 21 8 40 53 177 185 1979-2014 Dry Natural Gas 22,343 24,363 27,843 17,331 19,280 17,880 Lease Separation

    22,602 24,686 28,147 17,587 19,354 17,970 1979-2014 Adjustments 130 65 646 -951 207 -46 1979-2014 Revision Increases 1,921 1,596 3,708 338 3,185 723 1979-2014 Revision

  5. TX, RRC District 7B Coalbed Methane Proved Reserves, Reserves Changes, and

    Gasoline and Diesel Fuel Update (EIA)

    13,257 15,416 15,995 11,726 12,192 12,023 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 12,806 14,958 15,524 11,204 11,553 11,640 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 451 458 471 522 639 383 1979-2014 Dry Natural Gas 12,795 14,886 15,480 11,340 11,655 11,516 Lease Separation

    12,806 14,958 15,524 11,204 11,553 11,640 1979-2014 Adjustments 426 400 233 -1,035 322 -338 1979-2014 Revision Increases 1,801 2,732 5,023 1,960 2,107 2,009

  6. TX, RRC District 7C Coalbed Methane Proved Reserves, Reserves Changes, and

    Gasoline and Diesel Fuel Update (EIA)

    2,424 2,625 3,887 3,363 3,267 2,695 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 2,322 2,504 3,754 3,183 3,040 2,418 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 102 121 133 180 227 277 1979-2014 Dry Natural Gas 2,077 2,242 3,305 2,943 2,787 2,290 Lease Separation

    2,322 2,504 3,754 3,183 3,040 2,418 1979-2014 Adjustments 106 48 -38 585 -44 -231 1979-2014 Revision Increases 152 295 417 24 313 209 1979-2014 Revision Decreases 221 256 393 1,101

  7. TX, RRC District 8 Coalbed Methane Proved Reserves, Reserves Changes, and

    Gasoline and Diesel Fuel Update (EIA)

    5,430 5,432 5,236 5,599 5,584 7,103 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 3,724 3,502 2,857 2,523 2,183 2,444 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 1,706 1,930 2,379 3,076 3,401 4,659 1979-2014 Dry Natural Gas 4,827 4,787 4,475 4,890 4,800 6,422 Lease Separation

    3,724 3,502 2,857 2,523 2,183 2,444 1979-2014 Adjustments 56 84 -184 408 -105 352 1979-2014 Revision Increases 175 380 412 248 347 177 1979-2014 Revision Decreases 444 714

  8. TX, RRC District 8A Coalbed Methane Proved Reserves, Reserves Changes, and

    Gasoline and Diesel Fuel Update (EIA)

    7,440 8,105 8,088 8,963 9,715 11,575 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 3,950 3,777 3,006 2,309 2,315 2,480 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 3,490 4,328 5,082 6,654 7,400 9,095 1979-2014 Dry Natural Gas 6,672 7,206 7,039 7,738 8,629 9,742 Lease Separation

    3,950 3,777 3,006 2,309 2,315 2,480 1979-2014 Adjustments 150 229 -274 184 -127 9 1979-2014 Revision Increases 491 642 431 451 247 411 1979-2014 Revision Decreases 1,242

  9. TX, RRC District 9 Coalbed Methane Proved Reserves, Reserves Changes, and

    Gasoline and Diesel Fuel Update (EIA)

    1,289 1,228 1,289 1,280 1,338 1,328 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 43 58 31 20 23 24 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 1,246 1,170 1,258 1,260 1,315 1,304 1979-2014 Dry Natural Gas 1,218 1,164 1,226 1,214 1,269 1,257 Lease Separation

    43 58 31 20 23 24 1979-2014 Adjustments -1 20 -24 -11 5 5 1979-2014 Revision Increases 2 5 3 2 3 5 1979-2014 Revision Decreases 21 7 5 3 4 6 1979-2014 Sales 0 3 9 1 0 0 2000-2014

  10. Clint, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 111 30,880 42,367 2000's 45,512 36,470 59,218 58,851 66,188 63,372 71,451 84,484 84,152 89,274 2010's 87,449 96,722 101,585 108,573 123,670 126,022

  11. Del Rio, TX Natural Gas Pipeline Exports to Mexico (Dollars per Thousand

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

    Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's -- 7.74 10.76 8.20 2010's 5.92 5.53 4.33 4.69 5.35 3.59

  12. Del Rio, TX Natural Gas Pipeline Exports to Mexico (Dollars per Thousand

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

    Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 5.49 5.62 5.33 5.68 6.08 5.89 5.68 5.52 5.52 5.50 4.97 5.40 2012 4.40 4.40 4.17 4.18 3.95 4.31 4.33 4.50 4.37 4.42 4.39 4.56 2013 4.54 4.56 4.58 4.93 5.24 5.14 4.63 4.48 4.50 4.44 4.52 4.71 2014 5.30 6.18 5.65 5.49 5.73 5.43 5.53 4.78 4.98 4.95 4.60 5.26 2015 4.02 3.79 3.72 3.59 3.47 3.77 3.76 3.81 3.60 3.48 3.03 3.20 2016 3.20 3.20

  13. Del Rio, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 282 346 323 2010's 320 282 355 372 324 306

  14. Del Rio, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 28 26 28 23 14 18 24 25 25 24 20 26 2012 28 28 31 28 32 28 32 33 29 33 29 24 2013 32 26 32 33 32 30 29 35 33 1,335 30 26 2014 27 30 30 29 28 28 25 26 25 27 24 25 2015 20 21 28 22 23 26 25 27 28 29 30 25 2016 25 27

  15. Eagle Pass, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 942 1,260 1,471 1,990 2000's 2,114 1,896 1,914 1,969 2,258 2,132 2,118 1,955 1,695 1,237 2010's 1,471 2,114 2,970 2,608 3,801 4,282

  16. El Paso, TX Natural Gas Pipeline Exports to Mexico (Dollars per Thousand

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

    Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.14 2.36 2.05 2.43 2000's 4.35 4.35 3.28 5.20 5.76 8.06 6.47 6.76 7.60 3.98 2010's 4.72 4.34 3.09 4.05 5.13 2.83

  17. El Paso, TX Natural Gas Pipeline Exports to Mexico (Dollars per Thousand

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

    Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 4.67 5.14 4.18 4.52 4.43 4.75 4.70 4.44 4.13 3.68 3.49 3.87 2012 3.30 3.11 2.49 2.31 2.71 2.71 3.17 3.25 3.15 3.59 3.73 3.58 2013 3.68 3.57 4.00 4.37 4.21 4.01 3.96 3.76 3.91 4.02 4.01 4.94 2014 4.95 7.67 5.16 4.93 4.90 4.94 4.41 4.26 4.35 4.27 4.27 3.65 2015 3.19 3.05 2.80 2.80 3.05 2.87 2.95 2.85 2.77 2.52 2.25 2.14 2016 2.48 2.08

  18. El Paso, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

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

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 13,406 17,779 7,358 6,146 2000's 7,458 6,843 7,632 11,453 8,462 8,473 8,143 8,682 7,859 7,119 2010's 7,043 7,381 6,238 5,657 4,054 3,37

  19. El Paso, TX Natural Gas Pipeline Exports to Mexico (Million Cubic Feet)

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

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 958 860 509 487 503 482 449 452 456 531 670 1,024 2012 710 783 648 505 407 432 469 490 383 409 493 510 2013 571 446 632 481 440 409 819 448 321 245 287 557 2014 507 623 636 492 393 153 165 153 121 123 267 422 2015 587 514 496 301 159 255 129 154 165 146 180 288 2016 387 15

  20. Freeport, TX LNG Imports (Price) from Norway (Dollars per Thousand Cubic

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

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's -- 14.85 --