National Library of Energy BETA

Sample records for aq batch id

  1. 2 --October 12, 2007 2 2CO (g) CO (aq) (1)

    E-Print Network [OSTI]

    , 1 . (, ) , , (5 ). 3. Fugacity fugacity (mole fraction) - x(CO2)·p 3 3HCO (aq) H (aq) CO (aq)+ - + (4) (g), (l), (aq) , , . CO2(aq) H2CO3(aq) . CO2(aq) H2CO3(aq) CO2 * (aq) ( CO2 * (aq) H2CO3 * ). #12;October 12, 2007 2 -- 6 (1), (2) (3

  2. Batch Jobs

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits & Inspections AuditsBarbara McClintock andBasics BasicsBasilBatch

  3. ILENR/RE-AQ-ON-ROAD CARBON MONOXIDE AND HYDROCARBON

    E-Print Network [OSTI]

    Denver, University of

    #12;ILENR/RE-AQ- Printed: Contract: Project: ON-ROAD CARBON MONOXIDE AND HYDROCARBON REMOTE SENSING. Repeat Measurements of the Same Vehicle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 F

  4. NDA BATCH 2002-02

    SciTech Connect (OSTI)

    Lawrence Livermore National Laboratory

    2009-12-09

    QC sample results (daily background checks, 20-gram and 100-gram SGS drum checks) were within acceptable criteria established by WIPP's Quality Assurance Objectives for TRU Waste Characterization. Replicate runs were performed on 5 drums with IDs LL85101099TRU, LL85801147TRU, LL85801109TRU, LL85300999TRU and LL85500979TRU. All replicate measurement results are identical at the 95% confidence level as established by WIPP criteria. Note that the batch covered 5 weeks of SGS measurements from 23-Jan-2002 through 22-Feb-2002. Data packet for SGS Batch 2002-02 generated using gamma spectroscopy with the Pu Facility SGS unit is technically reasonable. All QC samples are in compliance with established control limits. The batch data packet has been reviewed for correctness, completeness, consistency and compliance with WIPP's Quality Assurance Objectives and determined to be acceptable. An Expert Review was performed on the data packet between 28-Feb-02 and 09-Jul-02 to check for potential U-235, Np-237 and Am-241 interferences and address drum cases where specific scan segments showed Se gamma ray transmissions for the 136-keV gamma to be below 0.1 %. Two drums in the batch showed Pu-238 at a relative mass ratio more than 2% of all the Pu isotopes.

  5. Example Hopper Batch Scripts

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

    batch system must wait for the desired big memory nodes to become available. Running Hybrid MPIOpenMP Applications Hybrid MPIOpenMP Example: New Recommendations (recommended)...

  6. Thermal Analysis of Waste Glass Batches: Effect of Batch Makeup...

    Office of Scientific and Technical Information (OSTI)

    Book: Thermal Analysis of Waste Glass Batches: Effect of Batch Makeup on Gas-Evolving Reactions Citation Details In-Document Search Title: Thermal Analysis of Waste Glass Batches:...

  7. Transferring Data from Batch Jobs at NERSC

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

    from Batch Jobs Transferring Data from Batch Jobs Examples Once you are set up for automatic authentication (see HPSS Passwords) you can access HPSS within batch scripts. You...

  8. Submitting Batch Jobs

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque|SensitiveAprilPhotonStructureStudentsSubmitting Batch Jobs

  9. Example Batch Scripts

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFES OctoberEvan Racah Evan Racah 1517546Has Evidence Example Batch

  10. Balance the reaction MnO4 (aq) MnO2(s) + SO4

    E-Print Network [OSTI]

    Peterson, Kirk A.

    Balance the reaction MnO4 Đ (aq) + SO3 2Đ (aq) MnO2(s) + SO4 2Đ (aq) in basic solution Oxidation 2Đ SO4 2Đ (b) 2) These are already balanced in Mn and S 3) Balance O in (a) by adding H2OŐs to the right-hand-side MnO4 Đ MnO2 + 2H2O 4) Balance H by adding H + to the left-hand-side MnO4 Đ + 4H + MnO2

  11. NDA BATCH 2009-7

    SciTech Connect (OSTI)

    Lawrence Livermore National Laboratory

    2009-10-30

    The testing facility is LLNL plutonium facility segmented gamma scanner. 100% of the radioassay data in the batch data report is reviewed.

  12. Progressing batch hydrolysis process

    DOE Patents [OSTI]

    Wright, J.D.

    1985-01-10

    A progressive batch hydrolysis process is disclosed for producing sugar from a lignocellulosic feedstock. It comprises passing a stream of dilute acid serially through a plurality of percolation hydrolysis reactors charged with feed stock, at a flow rate, temperature and pressure sufficient to substantially convert all the cellulose component of the feed stock to glucose. The cooled dilute acid stream containing glucose, after exiting the last percolation hydrolysis reactor, serially fed through a plurality of pre-hydrolysis percolation reactors, charged with said feedstock, at a flow rate, temperature and pressure sufficient to substantially convert all the hemicellulose component of said feedstock to glucose. The dilute acid stream containing glucose is cooled after it exits the last prehydrolysis reactor.

  13. Data-driven batch schuduling

    SciTech Connect (OSTI)

    Bent, John [Los Alamos National Laboratory; Denehy, Tim [GOOGLE; Arpaci - Dusseau, Remzi [UNIV OF WISCONSIN; Livny, Miron [UNIV OF WISCONSIN; Arpaci - Dusseau, Andrea C [NON LANL

    2009-01-01

    In this paper, we develop data-driven strategies for batch computing schedulers. Current CPU-centric batch schedulers ignore the data needs within workloads and execute them by linking them transparently and directly to their needed data. When scheduled on remote computational resources, this elegant solution of direct data access can incur an order of magnitude performance penalty for data-intensive workloads. Adding data-awareness to batch schedulers allows a careful coordination of data and CPU allocation thereby reducing the cost of remote execution. We offer here new techniques by which batch schedulers can become data-driven. Such systems can use our analytical predictive models to select one of the four data-driven scheduling policies that we have created. Through simulation, we demonstrate the accuracy of our predictive models and show how they can reduce time to completion for some workloads by as much as 80%.

  14. Batch compositions for cordierite ceramics

    DOE Patents [OSTI]

    Hickman, David L. (Big Flats, NY)

    1994-07-26

    Ceramic products consisting principally of cordierite and a method for making them are provided, the method employing batches comprising a mineral component and a chemical component, the mineral component comprising clay and talc and the chemical component consisting essentially of a combination of the powdered oxides, hydroxides, or hydrous oxides of magnesium, aluminum and silicon. Ceramics made by extrusion and firing of the batches can exhibit low porosity, high strength and low thermal expansion coefficients.

  15. Badging, Real ID Act

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

    employees, or subcontractors needing to access LANL facilities may be impacted by new access control procedures Only driver's licenses or ID cards from states that meet federal...

  16. EFFECT OF GLASS-BATCH MAKEUP ON...

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

    rate of heat-transfer from molten glass to the batch blanket and the kinetics of various chemical reactions and phase transitions jointly control the batch- to-glass conversion...

  17. Batch-mode Supervised Learning Linear regression

    E-Print Network [OSTI]

    Wehenkel, Louis

    Batch-mode Supervised Learning Linear regression Applied inductive learning - Lecture 3 Louis (& Pierre Geurts)AIA... (1/19) #12;Batch-mode Supervised Learning Linear regression Batch-mode Supervised Learning Linear regression Least mean square error solution Regularization and algorithmics Residual

  18. 4-ID-D optics

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

    4-ID-D Beamline Optics A schetch of the major optical components for beam line 4-ID-D are shown above. All these components located in the B-station upstream from the D...

  19. Adding coal dust to coal batch

    SciTech Connect (OSTI)

    V.S. Shved; A.V.Berezin [OAO Koks, Kemerovo (Russian Federation)

    2009-05-15

    The granulometric composition of coke dust from the dry-slaking machine is determined. The influence of additions of 3-7% coke dust on the quality of industrial coking batch and the coke obtained by box coking is estimated. Adding 1% coke dust to coking batch does not markedly change the coke quality. Industrial equipment for the supply of dry-slaking dust to the batch is described.

  20. CASCADE OPTIMIZATION AND CONTROL OF BATCH REACTORS

    E-Print Network [OSTI]

    Jutan, Arthur

    CASCADE OPTIMIZATION AND CONTROL OF BATCH REACTORS Xiangming Hua, Sohrab Rohani and Arthur Jutan ajutan@uwo.ca Abstract: In this study, a cascade closed-loop optimization and control strategy for batch reactor. Using model reduction a cascade system is developed, which can effectively combine optimization

  1. Method and apparatus for melting glass batch

    DOE Patents [OSTI]

    Fassbender, Alexander G. (Kennewick, WA); Walkup, Paul C. (Richland, WA); Mudge, Lyle K. (Richland, WA)

    1988-01-01

    A glass melting system involving preheating, precalcining, and prefluxing of batch materials prior to injection into a glass furnace. The precursors are heated by convection rather than by radiation in present furnaces. Upon injection into the furnace, batch materials are intimately coated with molten flux so as to undergo or at least begin the process of dissolution reaction prior to entering the melt pool.

  2. Biological Hydrogen Production Measured in Batch Anaerobic

    E-Print Network [OSTI]

    Biological Hydrogen Production Measured in Batch Anaerobic Respirometers B R U C E E . L O G A N The biological production of hydrogen from the fermentation of different substrates was examined in batch tests product for a sugar (4). The accumulation of hydrogen and other degradation byproducts during fermen

  3. Analysis and Control of Heteroazeotropic Batch Distillation

    E-Print Network [OSTI]

    Skogestad, Sigurd

    , called an entrainer, has to be added to facilitate separation and enhance distillation. When a heavy entrainer is added continuously in the top section of the batch column the process is called extractive batch distillation. When an entrainer is added batchwise to the original mixture we simply call

  4. APS Beamline 6-ID-B,C

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

    6-ID-B,C Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-B,C Beamline 6-ID-B,C is operated by the Magnetic Materials Group in the...

  5. Beamline 29-ID

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O OLaura| National2.1 Print National Center 29-ID - IEX

  6. Beamline 29-ID

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O OLaura| National2.1 Print National Center 29-ID - IEX IEX

  7. Beamline 29-ID

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O OLaura| National2.1 Print National Center 29-ID - IEX

  8. Beamline 29-ID

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O OLaura| National2.1 Print National Center 29-ID - IEXResonant

  9. Data ID Service

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet HanfordDOEDaniel Shechtman andDarkID Service First DOI for a

  10. New Mexico State University ID Card Services

    E-Print Network [OSTI]

    Johnson, Eric E.

    New Mexico State University ID Card Services Aggie Cash Payroll Deduction Authorization IDS account? Yes No AUTHORIZATION FOR PAYROLL DEDUCTION: I hereby authorize New Mexico State University

  11. Dynamic Control of Serial-batch Processing Systems 

    E-Print Network [OSTI]

    Cerekci, Abdullah

    2010-01-14

    ......................... 133 APPENDIX C: PAIRED-T TEST RESULTS FOR CHAPTER V .......................... 144 VITA ......................................................................................................................... 154 ix LIST OF FIGURES FIGURE... processor?s queue to improve the performance of the batch processor. 6 The assumptions relating to the serial-batch processor system are as follows: There are N incompatible product types being processed by the serial-batch processor system. Batch...

  12. Beamline 4-ID-D

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

    intense interest because they offer a pollution-free source of electricity and a vibration free source of refrigeration. Research at beamline 4-ID-D examined how the magnetism...

  13. Bull Test ID 1181 2013 Florida Bull Test

    E-Print Network [OSTI]

    Jawitz, James W.

    Bull Test ID 1181 2013 Florida Bull Test #12;Bull Test ID 1182 2013 Florida Bull Test #12;Bull Test ID 1183 2013 Florida Bull Test #12;Bull Test ID 1184 2013 Florida Bull Test #12;Bull Test ID 1185 2013 Florida Bull Test #12;Bull Test ID 1186 2013 Florida Bull Test #12;Bull Test ID 1187 2013 Florida

  14. Bull Test ID 1140 2013 Florida Bull Test

    E-Print Network [OSTI]

    Jawitz, James W.

    Bull Test ID 1140 2013 Florida Bull Test #12;Bull Test ID 1141 2013 Florida Bull Test #12;Bull Test ID 1142 2013 Florida Bull Test #12;Bull Test ID 1143 2013 Florida Bull Test #12;Bull Test ID 1144 2013 Florida Bull Test #12;Bull Test ID 1145 2013 Florida Bull Test #12;Bull Test ID 1146 2013 Florida

  15. Bull Test ID 1098 2013 Florida Bull Test

    E-Print Network [OSTI]

    Jawitz, James W.

    Bull Test ID 1098 2013 Florida Bull Test #12;Bull Test ID 1099 2013 Florida Bull Test #12;Bull Test ID 1100 2013 Florida Bull Test #12;Bull Test ID 1101 2013 Florida Bull Test #12;Bull Test ID 1102 2013 Florida Bull Test #12;Bull Test ID 1103 2013 Florida Bull Test #12;Bull Test ID 1104 2013 Florida

  16. Bull Test ID 1118 2013 Florida Bull Test

    E-Print Network [OSTI]

    Jawitz, James W.

    Bull Test ID 1118 2013 Florida Bull Test #12;Bull Test ID 1119 2013 Florida Bull Test #12;Bull Test ID 1120 2013 Florida Bull Test #12;Bull Test ID 1121 2013 Florida Bull Test #12;Bull Test ID 1122 2013 Florida Bull Test #12;Bull Test ID 1123 2013 Florida Bull Test #12;Bull Test ID 1124 2013 Florida

  17. Bull Test ID 1160 2013 Florida Bull Test

    E-Print Network [OSTI]

    Jawitz, James W.

    Bull Test ID 1160 2013 Florida Bull Test #12;Bull Test ID 1161 2013 Florida Bull Test #12;Bull Test ID 1162 2013 Florida Bull Test #12;Bull Test ID 1163 2013 Florida Bull Test #12;Bull Test ID 1164 2013 Florida Bull Test #12;Bull Test ID 1165 2013 Florida Bull Test #12;Bull Test ID 1166 2013 Florida

  18. Your Unanswered Questions…. Answered- Batch 2

    Broader source: Energy.gov [DOE]

    Secretary Chu hosted an online town hall to discuss President Obama's clean energy innovation agenda -- and while he was able to answer about 10 questions submitted online during the event, we received more than 200! Here is our second batch of questions and answers.

  19. Batch” Kinetics in Flow: Online IR Analysis and Continuous Control

    E-Print Network [OSTI]

    Moore, Jason S.

    Currently, kinetic data is either collected under steady-state conditions in flow or by generating time-series data in batch. Batch experiments are generally considered to be more suitable for the generation of kinetic ...

  20. Data ID Service | DOE Data Explorer

    Office of Scientific and Technical Information (OSTI)

    DOE Data ID Service DOE Data ID Service Note 1: This section pertains to datasets, dataset records, and Digital Object Identifiers (DOIs). It is not related to the collection...

  1. Copyright 2004 Auto-ID Labs, All Rights Reserved Auto-ID Labs

    E-Print Network [OSTI]

    Brock, David

    E. Grosvenor Plowman Award given by the Council of Logistics Management for the "paper judged©Copyright 2004 Auto-ID Labs, All Rights Reserved Auto-ID Labs Massachusetts Institute-ID Labs Massachusetts Institute of Technology #12;©Copyright 2004 Auto-ID Labs, All Rights Reserved

  2. Bull Test ID 1077 2013 Florida Bull Test

    E-Print Network [OSTI]

    Jawitz, James W.

    14th Annual Florida Bull Test #12;Bull Test ID 1077 2013 Florida Bull Test #12;Bull Test ID 1078 2013 Florida Bull Test #12;Bull Test ID 1079 2013 Florida Bull Test #12;Bull Test ID 1080 2013 Florida Bull Test #12;Bull Test ID 1081 2013 Florida Bull Test #12;Bull Test ID 1082 2013 Florida Bull Test #12

  3. ID SYSTEM DEBIT ACCOUNT Payroll Deduction Form

    E-Print Network [OSTI]

    Karsai, Istvan

    ID SYSTEM DEBIT ACCOUNT Payroll Deduction Form This is my authorization for the ETSU Payroll Department to make a monthly deduction from my paycheck to be deposited to my ETSU ID System Debit Card 37614-0611 PHONE: 423/439-8316 http://www.etsu.edu/students/univcent/id.htm e-mail ­ IDBUCS@etsu.edu #12;

  4. New Mexico State University ID Card Services

    E-Print Network [OSTI]

    Johnson, Eric E.

    New Mexico State University ID Card Services Aggie Cash Application IDS: This form constitutes application and agreement to open the following account with New Mexico State when it is in the possession of others. New Mexico State University ID Card Services Aggie Cash

  5. Batch load anaerobic digestion of dairy manure 

    E-Print Network [OSTI]

    Egg, Richard P

    1979-01-01

    and medium size dairy operations unless the pro- cess can be made more efficient or some other economic benefit can be derived from the manure. A recent study indicated that a batch load process might be more efficient in waste stabilization and biogas... rate of biogas production was 0. 69 liters biogas/liter digester/ day. This volumetric biogas production increased with increasing influent total solids concentration. Influent concentration had little effect on other biogas production parameters...

  6. ID Ecoregion name ID Ecoregion name 103 Alaska & Canada Pacific Coastal 140 East Texas Gulf

    E-Print Network [OSTI]

    Sprott, Julien Clinton

    ID Ecoregion name ID Ecoregion name 103 Alaska & Canada Pacific Coastal 140 East Texas Gulf 107 California 135 Lower Rio Grande - Bravo 160 Sonora 139 West Texas Gulf 161 Guzman - Samalayuca #12;

  7. Uranium and Strontium Batch Sorption and Diffusion Kinetics into...

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

    Uranium and Strontium Batch Sorption and Diffusion Kinetics into Mesoporous Silica Friday, February 27, 2015 Figure 1 Figure 1. Transmission electron microscopy images of (A)...

  8. Graduate Assistant Commitment Form Eagle ID:________________________

    E-Print Network [OSTI]

    Hutcheon, James M.

    Graduate Assistant Commitment Form 1 Eagle ID:________________________ Name:_____________________________________________ Supervisor:______________________________________Dept./Unit unites within the University. Research Assistant (RA) ­ primary responsibility

  9. TANK 50 BATCH 0 SALTSTONE FORMULATION CONFIRMATION

    SciTech Connect (OSTI)

    Langton, C.

    2006-06-05

    Savannah River National Laboratory (SRNL) personnel were requested to confirm the Tank 50 Batch 0 grout formulation per Technical Task Request, SSF-TTR-2006-0001 (task 1 of 2) [1]. Earlier Batch 0 formulation testing used a Tank 50 sample collected in September 2005 and is described elsewhere [2]. The current testing was performed using a sample of Tank 50 waste collected in May 2006. This work was performed according to the Technical Task and Quality Assurance Plan (TT/QAP), WSRC-RP-2006-00594 [3]. The salt solution collected from Tank 50 in May 2006 contained approximately 3 weight percent more solids than the sample collected in September 2005. The insoluble solids took longer to settle in the new sample which was interpreted as indicating finer particles in the current sample. The saltstone formulation developed for the September 2005 Tank 50 Batch 0 sample was confirmed for the May 2006 sample with one minor exception. Saltstone prepared with the Tank 50 sample collected in May 2006 required 1.5 times more Daratard 17 set retarding admixture than the saltstone prepared with the September In addition, a sample prepared with lower shear mixing (stirring with a spatula) had a higher plastic viscosity (57 cP) than samples made with higher shear mixing in a blender (23cP). The static gel times of the saltstone slurries made with low shear mixing were also shorter ({approx}32 minutes) than those for comparable samples made in the blender ({approx}47 minutes). The addition of the various waste streams (ETP, HEU-HCAN, and GPE-HCAN) to Tank 50 from September 2005 to May 2006 has increased the amount of set retarder, Daratard 17, required for processing saltstone slurries through the Saltstone facility. If these streams are continued to be added to Tank 50, the quantity of admixtures required to maintain the same processing conditions for the Saltstone facility will probably change and additional testing is recommended to reconfirm the Tank 50 Saltstone formulation.

  10. DOE-ID Twitter Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSite toDOE, StateResearchers111DOE-ID

  11. DOE-ID Operations Summary

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet HanfordDOE Project TapsofofDoubleReading Room10, 2013 DOE-ID

  12. DOE-ID Operations Summary

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet HanfordDOE Project TapsofofDoubleReading1, 2015 DOE-ID

  13. DOE-ID Operations Summary

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet HanfordDOE Project TapsofofDoubleReading1, 2015 DOE-ID4,

  14. DOE-ID Operations Summary

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet HanfordDOE Project TapsofofDoubleReading1, 2015 DOE-ID4,25,

  15. Real-time Dynamic Optimization of Batch Crystallization Processes

    E-Print Network [OSTI]

    Van den Hof, Paul

    process. The seeded fed-batch crystallizer is represented by a nonlinear moment model. An optimal controlReal-time Dynamic Optimization of Batch Crystallization Processes Ali Mesbah, , Alex N. Kalbasenka-time implementations of the proposed strategy reveal the effectiveness of closed-loop optimal control

  16. MODEL-BASED OPTIMAL OPERATION OF SEEDED BATCH CRYSTALLISATION PROCESSES

    E-Print Network [OSTI]

    Van den Hof, Paul

    .mesbah@tudelft.nl Dynamic optimization is applied for optimal control of a semi-industrial batch crystallisation process of the open-loop optimal control due to plant-model mismatch, unmeasured process disturbances, irreproducibleMODEL-BASED OPTIMAL OPERATION OF SEEDED BATCH CRYSTALLISATION PROCESSES A. Mesbah1, 2 , J. Landlust

  17. ID BUC$ EQUIPMENT REQUEST FORM CAMPUS EVENT PAYMENT OPTION

    E-Print Network [OSTI]

    Karsai, Istvan

    ID BUC$ EQUIPMENT REQUEST FORM CAMPUS EVENT PAYMENT OPTION FOR ETSU ORGANIZATIONS Name ID BUC$. ETSU account transfer or a check requested? o ETSU Account

  18. Analyzing source apportioned methane in northern California during Discover-AQ-CA using airborne measurements and model simulations

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

    Johnson, Matthew S.; Yates, Emma L.; Iraci, Laura T.; Loewenstein, Max; Tadi?, Jovan M.; Wecht, Kevin J.; Jeong, Seongeun; Fischer, Marc L.

    2014-12-01

    This study analyzes source apportioned methane (CH4) emissions and atmospheric mixing ratios in northern California during the Discover-AQ-CA field campaign using airborne measurement data and model simulations. Source apportioned CH4 emissions from the Emissions Database for Global Atmospheric Research (EDGAR) version 4.2 were applied in the 3-D chemical transport model GEOS-Chem and analyzed using airborne measurements taken as part of the Alpha Jet Atmospheric eXperiment over the San Francisco Bay Area (SFBA) and northern San Joaquin Valley (SJV). During the time period of the Discover-AQ-CA field campaign EDGAR inventory CH4 emissions were ~5.30 Gg day –1 (Gg = 1.0 ×more »109 g) (equating to ~1.90 × 103 Gg yr–1) for all of California. According to EDGAR, the SFBA and northern SJV region contributes ~30% of total CH4 emissions from California. Source apportionment analysis during this study shows that CH4 mixing ratios over this area of northern California are largely influenced by global emissions from wetlands and local/global emissions from gas and oil production and distribution, waste treatment processes, and livestock management. Model simulations, using EDGAR emissions, suggest that the model under-estimates CH4 mixing ratios in northern California (average normalized mean bias (NMB) = –5.2% and linear regression slope = 0.20). The largest negative biases in the model were calculated on days when large amounts of CH4 were measured over local emission sources and atmospheric CH4 mixing ratios reached values >2.5 parts per million. Sensitivity emission studies conducted during this research suggest that local emissions of CH4 from livestock management processes are likely the primary source of the negative model bias. These results indicate that a variety, and larger quantity, of measurement data needs to be obtained and additional research is necessary to better quantify source apportioned CH4 emissions in California.« less

  19. MELTING OF GLASS BATCH: MODEL FOR MULTIPLE OVERLAPPING GAS-EVOLVING...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: MELTING OF GLASS BATCH: MODEL FOR MULTIPLE OVERLAPPING GAS-EVOLVING REACTIONS Citation Details In-Document Search Title: MELTING OF GLASS BATCH: MODEL FOR MULTIPLE...

  20. CHOP: Performance Optimization for Batched Schema Evolution 1

    E-Print Network [OSTI]

    Claypool, Kajal

    of schema evolution primitives as well as for the merging of database modifications of primitivesCHOP: Performance Optimization for Batched Schema Evolution 1 Kajal T. Claypool, Elke A on Schema Evolution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Our Proposed

  1. Dynamic Control for Batch Process Systems Using Stochastic Utility Evaluation 

    E-Print Network [OSTI]

    Park, Hongsuk

    2012-10-19

    Most research studies in the batch process control problem are focused on optimizing system performance. The methods address the problem by minimizing single criterion such as cycle time and tardiness, or bi-criteria such ...

  2. Id-1 and Id-2 genes and products as markers of epithelial cancer

    SciTech Connect (OSTI)

    Desprez, Pierre-Yves; Campisi, Judith

    2011-10-04

    A method for detection and prognosis of breast cancer and other types of cancer. The method comprises detecting expression, if any, for both an Id-1 and an Id-2 genes, or the ratio thereof, of gene products in samples of breast tissue obtained from a patient. When expressed, Id-1 gene is a prognostic indicator that breast cancer cells are invasive and metastatic, whereas Id-2 gene is a prognostic indicator that breast cancer cells are localized and noninvasive in the breast tissue.

  3. Id-1 and Id-2 genes and products as markers of epithelial cancer

    DOE Patents [OSTI]

    Desprez, Pierre-Yves (El Cerrito, CA); Campisi, Judith (Berkeley, CA)

    2008-09-30

    A method for detection and prognosis of breast cancer and other types of cancer. The method comprises detecting expression, if any, for both an Id-1 and an Id-2 genes, or the ratio thereof, of gene products in samples of breast tissue obtained from a patient. When expressed, Id-1 gene is a prognostic indicator that breast cancer cells are invasive and metastatic, whereas Id-2 gene is a prognostic indicator that breast cancer cells are localized and noninvasive in the breast tissue.

  4. SLAC Dosimeter / ID Request Form A

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

    Feb 2009 (updated 13 May 2010) SLAC-I-760-0A07J-006-R010 1 of 2 SLAC Dosimeter ID Request Form A (For applicants who have completed SLAC Environment, Safety, and Health Training)...

  5. Student ID (R) Number ________________________ Semester/Year______ ________________________

    E-Print Network [OSTI]

    Rock, Chris

    Student ID (R) Number ________________________ Semester/Year______ ________________________ THIRD: ______________________________________________________ CHECK ALL THAT APPLY: _____First-time Third Party Student _____TTU Campus Student _____Non sponsor and the Third Party Sponsor Agreement prior to the due date to ensure timely posting of third

  6. Kentucky WRI Pilot Test Universal ID

    E-Print Network [OSTI]

    screening deployment experience · Significant cost savings to FMCSA ·Enabling technology already deployedKentucky WRI Pilot Test ­ Universal ID Commercial Motor Vehicle Roadside Technology Corridor Safety Technology Showcase October 14, 2010 #12;·Utilizes existing automated screening system ·Uses assorted

  7. Batch polymerization of styrene initiated by alkyl lithiums 

    E-Print Network [OSTI]

    Desai, Rashmi R

    1970-01-01

    BATCH POLYYIERIZATION OF STYRENE INITIATED BY ALKYL LITHIUMS A Thesis by RASHMI R. DESAI Submitted to the Graduate College of Texas ASM University partial fulfillment of the requirement for the degree of MASTER OF SCIFNCE May 1970 Major... Subject: Chemical Fngineering BATCH POLYMERI2ATION OF STYRENE INITIATED BY ALKYL LITHIUMS A Thesis by RASHMI R. DESAI Approved as to style and content by: / . I ?ii' (Chairman of Committee) (Head of Depar tment) ( ember) (Member) May 1970 111...

  8. Temperature effects on seawater batch activated sludge systems 

    E-Print Network [OSTI]

    Wigley, Henry Albert

    1972-01-01

    TEMPERATURE EFFECTS ON SEAMATER BATCH ACTIVATED SLUDGE SYSTEMS A Thesis by HENRY ALBERT WIGLEY, JR. Submitted to the Graduate Colleqe of Texas A&M University in partial fulfillment of the requirement for the deqree of MASTER OF SCIENCE May... 1972 Major Subject: Civil Engineerinq TEMPERATURE EFFECTS ON SEAWATER BATCH ACTIVATED SLUDGE SYSTEMS A Thesis by HENRY ALBERT WIGLEY, JR. Approved as to style and content by: C ai rman o ommi ttee Head of D partmen Member Member May 1972...

  9. Analyzing source apportioned methane in northern California during Discover-AQ-CA using airborne measurements and model simulations

    SciTech Connect (OSTI)

    Johnson, Matthew S.; Yates, Emma L.; Iraci, Laura T.; Loewenstein, Max; Tadi?, Jovan M.; Wecht, Kevin J.; Jeong, Seongeun; Fischer, Marc L.

    2014-12-01

    This study analyzes source apportioned methane (CH4) emissions and atmospheric mixing ratios in northern California during the Discover-AQ-CA field campaign using airborne measurement data and model simulations. Source apportioned CH4 emissions from the Emissions Database for Global Atmospheric Research (EDGAR) version 4.2 were applied in the 3-D chemical transport model GEOS-Chem and analyzed using airborne measurements taken as part of the Alpha Jet Atmospheric eXperiment over the San Francisco Bay Area (SFBA) and northern San Joaquin Valley (SJV). During the time period of the Discover-AQ-CA field campaign EDGAR inventory CH4 emissions were ~5.30 Gg day –1 (Gg = 1.0 × 109 g) (equating to ~1.90 × 103 Gg yr–1) for all of California. According to EDGAR, the SFBA and northern SJV region contributes ~30% of total CH4 emissions from California. Source apportionment analysis during this study shows that CH4 mixing ratios over this area of northern California are largely influenced by global emissions from wetlands and local/global emissions from gas and oil production and distribution, waste treatment processes, and livestock management. Model simulations, using EDGAR emissions, suggest that the model under-estimates CH4 mixing ratios in northern California (average normalized mean bias (NMB) = –5.2% and linear regression slope = 0.20). The largest negative biases in the model were calculated on days when large amounts of CH4 were measured over local emission sources and atmospheric CH4 mixing ratios reached values >2.5 parts per million. Sensitivity emission studies conducted during this research suggest that local emissions of CH4 from livestock management processes are likely the primary source of the negative model bias. These results indicate that a variety, and larger quantity, of measurement data needs to be obtained and additional research is necessary to better quantify source apportioned CH4 emissions in California.

  10. SHIELDING STUDIES FOR IDS80f-IDS120f NICHOLAS SOUCHLAS (BNL)

    E-Print Network [OSTI]

    McDonald, Kirk

    GEOMETRY 8 #12;IDS120f GEOMETRY:Hg POOL AREA DETAIL 8 #12;IDS120f GEOMETRY:PROTON TRAJECTORY WITHOUT Hg JET/POOL 9 Hg Pool free surface at y=-14 cm and -8pool>72.2 cm or >5

  11. SLUDGE BATCH VARIABILITY STUDY WITH FRIT 418

    SciTech Connect (OSTI)

    Johnson, F.; Edwards, T.

    2010-11-29

    The Defense Waste Processing Facility (DWPF) initiated processing Sludge Batch 6 (SB6) in the summer of 2010. In support of processing, the Savannah River National Laboratory (SRNL) provided a recommendation to utilize Frit 418 to process SB6. This recommendation was based on assessments of the compositional projections for SB6 available at the time from the Liquid Waste Organization (LWO) and SRNL (using a model-based approach). To support qualification of SB6, SRNL executed a variability study to assess the applicability of the current durability models for SB6. The durability models were assessed over the expected Frit 418-SB6 composition range. Seventeen glasses were selected for the variability study based on the sludge projections used in the frit recommendation. Five of the glasses are based on the centroid of the compositional region, spanning a waste loading (WL) range of 32 to 40%. The remaining twelve glasses are extreme vertices (EVs) of the sludge region of interest for SB6 combined with Frit 418 and are all at 36% WL. These glasses were fabricated and characterized using chemical composition analysis, X-ray diffraction (XRD) and the Product Consistency Test (PCT). After initiating the SB6 variability study, the measured composition of the SB6 Tank 51 qualification glass produced at the SRNL Shielded Cells Facility indicated that thorium was present in the glass at an appreciable concentration (1.03 wt%), which made it a reportable element for SB6. This concentration of ThO{sub 2} resulted in a second phase of experimental studies. Five glasses were formulated that were based on the centroid of the new sludge compositional region combined with Frit 418, spanning a WL range of 32 to 40%. These glasses were fabricated and characterized using chemical composition analysis and the PCT. Based on the measured PCT response, all of the glasses (with and without thorium) were acceptable with respect to the Environmental Assessment (EA) reference glass regardless of thermal history. All of the normalized boron releases were less than 1 g/L. While all of the targeted glass compositions were predictable with respect to the Product Composition Control System (PCCS) models for durability, a small number of the measured glass compositions were located outside of the lower prediction limit indicating poorer durability than what was actually measured. These unpredictable glasses were in the same lithium metaborate (LM) preparation block during the chemical analyses, which resulted in measured compositions that were not representative of the target compositions. A review of the data did not indicate a clear cause for the problem. Re-digestion and re-measurement of three glasses from this preparation block yielded glass compositions closer to the target values and predicted PCT responses within the PCCS model uncertainty. Therefore, it is believed that the glasses were correctly fabricated and the targeted compositions are closer representations of the true compositions. Per the requirements of the DWPF Glass Product Control Program, the PCCS durability models have been shown to be applicable for the SB6/Frit 418 glass system. PCT results from the glasses fabricated as part of the variability study were shown to be predictable and/or acceptable with respect to the DWPF PCCS models. In addition, the inclusion of ThO{sub 2} was shown to have minimal impact on the acceptability and predictability of the variability study glasses.

  12. CHANGE IN ACCEPTABLE ID DOCUMENTS FOR JLAB ACCESS:

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

    JLAB ACCESS: The REAL ID Act (Public Law 109-13) now determines which state driver's license can be presented and accepted as a valid ID document for access to Jefferson Lab. The...

  13. 8-ID Home Page | Advanced Photon Source

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016 News Below are4B Drawings 4B618-108-ID 8-ID Home

  14. Data ID Service | DOE Data Explorer

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal GasAdministration Medal01TechnicalScientific andScientificDOE Data ID Service DOE Data ID

  15. SLUDGE WASHING AND DEMONSTRATION OF THE DWPF FLOWSHEET IN THE SRNL SHIELDED CELLS FOR SLUDGE BATCH 7A QUALIFICATION

    SciTech Connect (OSTI)

    Pareizs, J.; Billings, A.; Click, D.

    2011-07-08

    Waste Solidification Engineering (WSE) has requested that characterization and a radioactive demonstration of the next batch of sludge slurry (Sludge Batch 7a*) be completed in the Shielded Cells Facility of the Savannah River National Laboratory (SRNL) via a Technical Task Request (TTR). This characterization and demonstration, or sludge batch qualification process, is required prior to transfer of the sludge from Tank 51 to the Defense Waste Processing Facility (DWPF) feed tank (Tank 40). The current WSE practice is to prepare sludge batches in Tank 51 by transferring sludge from other tanks. Discharges of nuclear materials from H Canyon are often added to Tank 51 during sludge batch preparation. The sludge is washed and transferred to Tank 40, the current DWPF feed tank. Prior to transfer of Tank 51 to Tank 40, SRNL simulates the Tank Farm and DWPF processes with a Tank 51 sample (referred to as the qualification sample). Sludge Batch 7a (SB7a) is composed of portions of Tanks 4, 7, and 12; the Sludge Batch 6 heel in Tank 51; and a plutonium stream from H Canyon. SRNL received the Tank 51 qualification sample (sample ID HTF-51-10-125) following sludge additions to Tank 51. This report documents: (1) The washing (addition of water to dilute the sludge supernate) and concentration (decanting of supernate) of the SB7a - Tank 51 qualification sample to adjust sodium content and weight percent insoluble solids to Tank Farm projections. (2) The performance of a DWPF Chemical Process Cell (CPC) simulation using the washed Tank 51 sample. The simulation included a Sludge Receipt and Adjustment Tank (SRAT) cycle, where acid was added to the sludge to destroy nitrite and reduce mercury, and a Slurry Mix Evaporator (SME) cycle, where glass frit was added to the sludge in preparation for vitrification. The SME cycle also included replication of five canister decontamination additions and concentrations. Processing parameters were based on work with a non-radioactive simulant. (3) Vitrification of a portion of the SME product and characterization and durability testing (as measured by the Product Consistency Test (PCT)) of the resulting glass. (4) Rheology measurements of the initial slurry samples and samples after each phase of CPC processing. This program was controlled by a Task Technical and Quality Assurance Plan (TTQAP), and analyses were guided by an Analytical Study Plan. This work is Technical Baseline Research and Development (R&D) for the DWPF. It should be noted that much of the data in this document has been published in interoffice memoranda. The intent of this technical report is bring all of the SB7a related data together in a single permanent record and to discuss the overall aspects of SB7a processing.

  16. Grant ID#: 71316 South Carolina SIP 2 Workplan

    E-Print Network [OSTI]

    Grant ID#: 71316 South Carolina SIP 2 Workplan NPO Accepted Revision on 2/5/2015 1 South Carolina Complete #12;Grant ID#: 71316 South Carolina SIP 2 Workplan NPO Accepted Revision on 2/5/2015 2 Objectives grant success / challenges. May not meet On target to meet Complete #12;Grant ID#: 71316 South Carolina

  17. Batch Mode Stochastic-Based Robust Dynamic Resource Allocation

    E-Print Network [OSTI]

    Maciejewski, Anthony A.

    Batch Mode Stochastic-Based Robust Dynamic Resource Allocation in a Heterogeneous Computing System in system parameters is common. Robustness can be defined as the degree to which a system can function in data size and content. Determining a resource allocation that accounts for this uncertainty

  18. Comment on "d id0 Chiral Superconductivity

    E-Print Network [OSTI]

    Wu, Zhigang

    Comment on "d ţ id0 Chiral Superconductivity in Bilayer Silicene" In Ref. [1], Liu et al, their random-phase-approximation analysis sug- gests that the system is superconducting with the Cooper pairs, they claim that a high superconducting critical temperature is possible due to the tunable Fermi pocket via

  19. Study Abroad Agreement Student's Name: MSU ID

    E-Print Network [OSTI]

    Barge, Marcy

    Study Abroad Agreement Student's Name: MSU ID: Name of Institution: Country: Date Classes Begin University study abroad program. If you enroll in a study abroad program sponsored by other organizations and attach a signed copy of the Study Abroad Budget Form. Return both documents to the Office of Financial

  20. U.S. NO2 trends (2005–2013): EPA Air Quality System (AQS) data versus improved observations from the Ozone Monitoring Instrument (OMI)

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

    Lamsal, Lok N.; Duncan, Bryan N.; Yoshida, Yasuko; Krotkov, Nickolay A.; Pickering, Kenneth E.; Streets, David G.; Lu, Zifeng

    2015-06-01

    Emissions of nitrogen oxides (NOx) and, subsequently, atmospheric levels of nitrogen dioxide (NO2) have decreased over the U.S. due to a combination of environmental policies and technological change. Consequently, NO2 levels have decreased by 30-40% in the last decade. We quantify NO2 trends (2005-2013) over the U.S. using surface measurements from the U.S. Environmental Protection Agency (EPA) Air Quality System (AQS) and an improved tropospheric NO2 vertical column density (VCD) data product from the Ozone Monitoring Instrument (OMI) on the Aura satellite.We demonstrate that the current OMI NO2 algorithm is of sufficient maturity to allow a favorable correspondence of trendsmore »and variations in OMI and AQS data. Our trend model accounts for the non-linear dependence of NO2 concentration on emissions associated with the seasonal variation of the chemical lifetime, including the change in the amplitude of the seasonal cycle associated with the significant change in NOx emissions that occurred over the last decade. The direct relationship between observations and emissions becomes more robust when one accounts for these non-linear dependencies. We improve the OMI NO2 standard retrieval algorithm and, subsequently, the data product by using monthly vertical concentration profiles, a required algorithm input, from a high-resolution chemistry and transport model (CTM) simulation with varying emissions (2005-2013). The impact of neglecting the time-dependence of the profiles leads to errors in trend estimation, particularly in regions where emissions have changed substantially. For example, trends calculated from retrievals based on time-dependent profiles offer 18% more instances of significant trends and up to 15% larger total NO2 reduction versus the results based on profiles for 2005. Using a CTM, we explore the theoretical relation of the trends estimated from NO2 VCDs to those estimated from ground-level concentrations. The model-simulated trends in VCDs strongly correlate with those estimated from surface concentrations (r -- 0.83, N -- 355). We then explore the observed correspondence of trends estimated from OMI and AQS data. We find a significant, but slightly weaker, correspondence (i.e., r -- 0.68, N -- 208) than predicted by the model and discuss some of the important factors affecting the relationship, including known problems (e.g., NOz interferents) associated with the AQS data. This significant correspondence gives confidence in trend and surface concentration estimates from OMI VCDs for locations, such as the majority of the U.S. and globe, that are not covered by surface monitoring networks. Using our improved trend model and our enhanced OMI data product, we find that both OMI and AQS data show substantial downward trends from 2005 to 2013, with an average reduction of 38% for each over the U.S. The annual reduction rates inferred from OMI and AQS measurements are larger (#3;-4.8 ± 1.9%/yr, #3;-3.7 ± 1.5%/yr) from 2005 to 2008 than 2010 to 2013 (-#3;1.2 ± 1.2%/yr, #3;-2.1 ± 1.4%/yr). We quantify NO2 trends for major U.S. cities and power plants; the latter suggest larger negative trend (#3;-4.0 ± 1.5%/yr) between 2005 and 2008 and smaller or insignificant changes (-#3;0.5 ± 1.2%/yr) during 2010-2013.« less

  1. U.S. NO? trends (2005–2013): EPA air quality system (AQS) data versus improved observations from the Ozone Monitoring Instrument (OMI)

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

    Lamsal, Lok N.; Duncan, Bryan N.; Yoshida, Yasuko; Krotkov, Nickolay A.; Pickering, Kenneth E.; Streets, David G.; Lu, Zifeng

    2015-06-01

    Emissions of nitrogen oxides (NOx) and, subsequently, atmospheric levels of nitrogen dioxide (NO?) have decreased over the U.S. due to a combination of environmental policies and technological change. Consequently, NO? levels have decreased by 30–40% in the last decade. We quantify NO? trends (2005–2013) over the U.S. using surface measurements from the U.S. Environmental Protection Agency (EPA) Air Quality System (AQS) and an improved tropospheric NO? vertical column density (VCD) data product from the Ozone Monitoring Instrument (OMI) on the Aura satellite.We demonstrate that the current OMI NO? algorithm is of sufficient maturity to allow a favorable correspondence of trendsmore »and variations in OMI and AQS data. Our trend model accounts for the non-linear dependence of NO? concentration on emissions associated with the seasonal variation of the chemical lifetime, including the change in the amplitude of the seasonal cycle associated with the significant change in NOx emissions that occurred over the last decade. The direct relationship between observations and emissions becomes more robust when one accounts for these non-linear dependencies. We improve the OMI NO? standard retrieval algorithm and, subsequently, the data product by using monthly vertical concentration profiles, a required algorithm input, from a high-resolution chemistry and transport model (CTM) simulation with varying emissions (2005-2013). The impact of neglecting the time-dependence of the profiles leads to errors in trend estimation, particularly in regions where emissions have changed substantially. For example, trends calculated from retrievals based on time-dependent profiles offer 18% more instances of significant trends and up to 15% larger total NO? reduction versus the results based on profiles for 2005. Using a CTM, we explore the theoretical relation of the trends estimated from NO? VCDs to those estimated from ground-level concentrations. The model-simulated trends in VCDs strongly correlate with those estimated from surface concentrations (r = 0.83, N = 355). We then explore the observed correspondence of trends estimated from OMI and AQS data. We find a significant, but slightly weaker, correspondence (i.e., r = 0.68, N = 208) than predicted by the model and discuss some of the important factors affecting the relationship, including known problems (e.g., NOz interferents) associated with the AQS data. This significant correspondence gives confidence in trend and surface concentration estimates from OMI VCDs for locations, such as the majority of the U.S. and globe, that are not covered by surface monitoring networks. Using our improved trend model and our enhanced OMI data product, we find that both OMI and AQS data show substantial downward trends from 2005 to 2013, with an average reduction of 38% for each over the U.S. The annual reduction rates inferred from OMI and AQS measurements are larger (–4.8 ± 1.9%/yr, –3.7 ± 1.5%/yr) from 2005 to 2008 than 2010 to 2013 (–1.2 ± 1.2%/yr, –2.1 ± 1.4%/yr). We quantify NO? trends for major U.S. cities and power plants; the latter suggest larger negative trend (–4.0 ± 1.5%/yr) between 2005 and 2008 and smaller or insignificant changes (–0.5 ± 1.2%/yr) during 2010-2013.« less

  2. LAYNE, HOSPEDALES, GONG: RE-ID: HUNTING ATTRIBUTES IN THE WILD 1 Re-id: Hunting Attributes in the Wild

    E-Print Network [OSTI]

    Gong, Shaogang

    LAYNE, HOSPEDALES, GONG: RE-ID: HUNTING ATTRIBUTES IN THE WILD 1 Re-id: Hunting Attributes in the Wild Ryan Layne r.d.c.layne@qmul.ac.uk Timothy M. Hospedales t.hospedales@qmul.ac.uk Shaogang Gong s.gong, HOSPEDALES, GONG: RE-ID: HUNTING ATTRIBUTES IN THE WILD Much re-identification research breaks down into two

  3. HIGH LEVEL WASTE SLUDGE BATCH 4 VARIABILITY STUDY

    SciTech Connect (OSTI)

    Fox, K; Tommy Edwards, T; David Peeler, D; David Best, D; Irene Reamer, I; Phyllis Workman, P

    2006-10-02

    The Defense Waste Processing Facility (DWPF) is preparing for vitrification of High Level Waste (HLW) Sludge Batch 4 (SB4) in early FY2007. To support this process, the Savannah River National Laboratory (SRNL) has provided a recommendation to utilize Frit 503 for vitrifying this sludge batch, based on the composition projection provided by the Liquid Waste Organization on June 22, 2006. Frit 418 was also recommended for possible use during the transition from SB3 to SB4. A critical step in the SB4 qualification process is to demonstrate the applicability of the durability models, which are used as part of the DWPF's process control strategy, to the glass system of interest via a variability study. A variability study is an experimentally-driven assessment of the predictability and acceptability of the quality of the vitrified waste product that is anticipated from the processing of a sludge batch. At the DWPF, the durability of the vitrified waste product is not directly measured. Instead, the durability is predicted using a set of models that relate the Product Consistency Test (PCT) response of a glass to the chemical composition of that glass. In addition, a glass sample is taken during the processing of that sludge batch, the sample is transmitted to SRNL, and the durability is measured to confirm acceptance. The objective of a variability study is to demonstrate that these models are applicable to the glass composition region anticipated during the processing of the sludge batch - in this case the Frit 503 - SB4 compositional region. The success of this demonstration allows the DWPF to confidently rely on the predictions of the durability/composition models as they are used in the control of the DWPF process.

  4. A batch reactor heat recovery challenge problem Johannes Jschke, Sigurd Skogestad

    E-Print Network [OSTI]

    Skogestad, Sigurd

    A batch reactor heat recovery challenge problem Johannes Jäschke, Sigurd Skogestad Department a challenge problem for maximizing the heat recovery in a heat exchanger network connected to a set of batch

  5. pV3 Batch User's Reference Manual for use with the following workstations

    E-Print Network [OSTI]

    Peraire, Jaime

    pV3 Batch User's Reference Manual Rev. 2.05 for use with the following workstations: Compaq ALPHAs. 2 #12;Contents 1 Introduction 4 2 pV3 Batch Server 5 2.1 Batch Server Startup.4 Advanced Programming . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3 pV3 Post

  6. Batch drilling program cuts time, costs for Liuhua development

    SciTech Connect (OSTI)

    Gray, G.E.; Hall, K.H.; Mu, H.C.

    1996-08-12

    The efficiency of batch drilling operations and the appropriate use of technology, teamwork, and thorough planning helped cut several days off the time to drill each of 10 subsea wells for the Liuhua 11-1 development project in the South China Sea. The overall development program calls for drilling and completing 20 subsea horizontal wells. The rig-of-opportunity phase was the initial phase of this development and used a contract rig to establish the subsea wellhead array and initiate drilling of the development wells. The wellhead array was the first critical step. It was the foundation for the building block construction process used to create Liuhua`s subsea production system on the seabed. The paper discusses conductor operations, batch drilling operations, surface hole section, intermediate and production hole sections, the ten wells, application of technology, and overall results.

  7. Influences of emission sources and meteorology on aerosol chemistry in a polluted urban environment: results from DISCOVER-AQ California

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

    Young, D. E.; Kim, H.; Parworth, C.; Zhou, S.; Zhang, X.; Cappa, C. D.; Seco, R.; Kim, S.; Zhang, Q.

    2015-12-15

    The San Joaquin Valley (SJV) in California experiences persistent air quality problems associated with elevated particulate matter (PM) concentrations due to anthropogenic emissions, topography, and meteorological conditions. Thus it is important to unravel the various sources and processes that affect the physico-chemical properties of PM in order to better inform pollution abatement strategies and improve parameterizations in air quality models. more »Aerosol Mass Spectrometer (HR-ToF-AMS) and an Ionicon Proton Transfer Reaction Time-of-Flight Mass Spectrometer (PTR-TOF-MS) as part of the NASA Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) campaign. The average submicron aerosol (PM1) concentration was 31.0 ?g m?3 and the total mass was dominated by organic aerosols (OA, 55 %), followed by ammonium nitrate (35 %). High PM pollution events were commonly associated with elevated OA concentrations, mostly from primary sources. Organic aerosols had average atomic oxygen-to-carbon (O / C), hydrogen-to-carbon (H / C), and nitrogen-to-carbon (N / C) ratios of 0.42, 1.70, and 0.017, respectively. Six distinct sources of organic aerosol were identified from positive matrix factorization (PMF) analysis of the AMS data: hydrocarbon-like OA (HOA; 9 % of total OA; O / C = 0.09) associated with local traffic, cooking OA (COA; 28 % of total OA; O / C = 0.19) associated with food cooking activities, two biomass burning OAs (BBOA1; 13 % of total OA; O / C = 0.33 and BBOA2; 20 % of total OA; O / C = 0.60) most likely associated with residential space heating from wood combustion, and semi-volatile oxygenated OA (SV-OOA; 16 % of total OA; O / C = 0.63) and low volatility oxygenated OA (LV-OOA; 24 % of total OA; O / C = 0.90) formed via chemical reactions in the atmosphere. Large differences in aerosol chemistry at Fresno were observed between the current campaign (winter 2013) and a~previous wintertime campaign (winter 2010), most notably that PM1 concentrations were nearly three times higher in 2013 than in 2010. These variations were attributed to differences in the meteorological conditions, which influenced primary emissions and secondary aerosol formation. In particular, COA and BBOA concentrations were greater in 2013 than 2010, where colder temperatures in 2013 likely resulted in increased biomass burning activities. The influence from a nighttime formed residual layer that mixed down in the morning was found to be much more intense in 2013 than 2010, leading to sharp increases in ground-level concentrations of secondary aerosol species including nitrate, sulfate, and OOA, in the morning between 08:00 to 12:00 PST. This is an indication that nighttime chemistry might also be higher in 2013. As solar radiation was stronger in 2013 the higher nitrate and OOA concentrations in 2013 could also be partly due to greater photochemical production of secondary aerosol species. The greater solar radiation and larger range in temperature in 2013 also likely led to both SV-OOA and LV-OOA being observed in 2013 whereas only a single OOA factor was identified in 2010.« less

  8. Perl ASP Servlet JSP ID cookie encodeURL

    E-Print Network [OSTI]

    Chiba, Shigeru

    14 Servlet 99-2270-6 15 2 28 #12;1 Web Web Perl ASP Servlet JSP HTML Web ID Web ID ID cookie encode Servlet JSP 1.1 1963 70 1991 93 HTML #12;1 9 1.1.1 TCP/IP WWW(World Wide Web) · WWW WWW 1989 CERN(European Particle Physics Laboratory) Http Web / WWW HTML(Hyper Text Markup Language) HTML WWW WWW 1.2 Web · Java

  9. Property:RAPID/Contact/ID9/Name | Open Energy Information

    Open Energy Info (EERE)

    page using this property. U Utah Department of Environmental Quality + Doug Hansen + Retrieved from "http:en.openei.orgwindex.php?titleProperty:RAPIDContactID9...

  10. Id-1 and Id-2 genes and products as therapeutic targets for treatment of breast cancer and other types of carcinoma

    DOE Patents [OSTI]

    Desprez, Pierre-Yves; Campisi, Judith

    2014-09-30

    A method for treatment and amelioration of breast, cervical, ovarian, endometrial, squamous cells, prostate cancer and melanoma in a patient comprising targeting Id-1 or Id-2 gene expression with a delivery vehicle comprising a product which modulates Id-1 or Id-2 expression.

  11. Microsoft Word - FINAL Rocky Flats LBNL report Batch #1.docx

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReport for the t-) S/,,5 'a C O M P R EH2 UMTRCAthe First Batch of

  12. Airless drying -- Developments since IDS'94

    SciTech Connect (OSTI)

    Stubbing, T.J.

    1999-09-01

    Since its introduction to IDS'94 delegates, significant progress has been made with the development of airless drying technology. The ceramic industry internationally is beginning to benefit from both the energy use and drying time reductions it achieves, while on the basis of further theoretical work carried out since 1993 other industries, including the bioenergy sector, should also soon begin to exploit its advantages. As global warming becomes a reality and oil reserves decline, superheated steam drying and gasification of biomass will contribute to the mitigation of those problems.

  13. 7-ID Home Page | Advanced Photon Source

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-InspiredAtmosphericdevicesPPONeApril351APPLICATION OF kVProposedLIST of77-ID

  14. 1. CONTRACT ID CODE PAGE OF PAGES

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-InspiredAtmosphericdevicesPPO Retirees with Medicare PlanCONTRACT ID CODE PAGE

  15. NO FISHING REPORTING FORM Vessel ID. NO. Vessel Name

    E-Print Network [OSTI]

    NO FISHING REPORTING FORM Vessel ID. NO. Vessel Name: During the entire month of , year this vessel fishery if your vessel does not have a permit for it > Use Black Ink NMFS Use Only: Opened: Atlantic King Mackerel Spanish Mackerel Schedule # NO FISHING REPORTING FORM Vessel ID. NO. Vessel Name: During

  16. IDS120h GEOMETRY WITH SHIELDING VESSELS ENERGY FLOW ANALYSIS

    E-Print Network [OSTI]

    McDonald, Kirk

    IDS120h GEOMETRY WITH SHIELDING VESSELS ENERGY FLOW ANALYSIS SHIELDING MATERIAL: 60% W + 40% He vs SHIELDING Nicholas Souchlas, PBL (10/18/2011) 1 #12;IDS120h with shielding vessels. # Different cases ENERGY CUTOFF >SHIELDING: 60% W + 40% He , 80% W + 20% He, 88% W + 12% He ( WITH W VESSELS) >4 MW proton

  17. ASPE -Instructor Led Class Vendor Item ID Class Cost

    E-Print Network [OSTI]

    Dennis, Robert G.

    ASPE - Instructor Led Class Vendor Item ID Class Cost 26500 Data Modeling - Onsite Session for up Day Course 1,871.00$ #12;ASPE - Virtual Class Vendor Item ID Class Cost 26500V Data Modeling - Onsite Session for up to 20 Students 9,500.00$ 26500PV Data Modeling - Public Course (price per student) 1

  18. Increased CPC batch size study for Tank 42 sludge in the Defense Waste Processing Facility

    SciTech Connect (OSTI)

    Daniel, W.E.

    2000-01-06

    A series of experiments have been completed at TNX for the sludge-only REDOX adjusted flowsheet using Tank 42 sludge simulant in response to the Technical Task Request HLW/DWPT/TTR-980013 to increase CPC batch sizes. By increasing the initial SRAT batch size, a melter feed batch at greater waste solids concentration can be prepared and thus increase melter output per batch by about one canister. The increased throughput would allow DWPF to dispose of more waste in a given time period thus shortening the overall campaign.

  19. FLOWSHEET FOR ALUMINUM REMOVAL FROM SLUDGE BATCH 6

    SciTech Connect (OSTI)

    Pike, J; Jeffrey Gillam, J

    2008-12-17

    Samples of Tank 12 sludge slurry show a substantially larger fraction of aluminum than originally identified in sludge batch planning. The Liquid Waste Organization (LWO) plans to formulate Sludge Batch 6 (SB6) with about one half of the sludge slurry in Tank 12 and one half of the sludge slurry in Tank 4. LWO identified aluminum dissolution as a method to mitigate the effect of having about 50% more solids in High Level Waste (HLW) sludge than previously planned. Previous aluminum dissolution performed in a HLW tank in 1982 was performed at approximately 85 C for 5 days and dissolved nearly 80% of the aluminum in the sludge slurry. In 2008, LWO successfully dissolved 64% of the aluminum at approximately 60 C in 46 days with minimal tank modifications and using only slurry pumps as a heat source. This report establishes the technical basis and flowsheet for performing an aluminum removal process in Tank 51 for SB6 that incorporates the lessons learned from previous aluminum dissolution evolutions. For SB6, aluminum dissolution process temperature will be held at a minimum of 65 C for at least 24 days, but as long as practical or until as much as 80% of the aluminum is dissolved. As planned, an aluminum removal process can reduce the aluminum in SB6 from about 84,500 kg to as little as 17,900 kg with a corresponding reduction of total insoluble solids in the batch from 246,000 kg to 131,000 kg. The extent of the reduction may be limited by the time available to maintain Tank 51 at dissolution temperature. The range of dissolution in four weeks based on the known variability in dissolution kinetics can range from 44 to more than 80%. At 44% of the aluminum dissolved, the mass reduction is approximately 1/2 of the mass noted above, i.e., 33,300 kg of aluminum instead of 66,600 kg. Planning to reach 80% of the aluminum dissolved should allow a maximum of 81 days for dissolution and reduce the allowance if test data shows faster kinetics. 47,800 kg of the dissolved aluminum will be stored in Tank 8 and 21,000 kg will be stored in saltcake via evaporation. Up to 77% of the total aluminum planned for SB6 may be removed via aluminum dissolution. Storage of the aluminum-laden supernate in Tank 8 will require routine evaluation of the free hydroxide concentration in order to maintain aluminum in solution. Periodic evaluation will be established on concurrent frequency with corrosion program samples as previously established for aluminum-laden supernate from SB5 that is stored in Tank 11.

  20. Integration of the Mini-Sulfide Sulfite Anthraquinone (MSS-AQ) Pulping Process and Black Liquor Gasification in a Pulp Mill

    SciTech Connect (OSTI)

    Hasan Jameel, North Carolina State University; Adrianna Kirkman, North Carolina State University; Ravi Chandran,Thermochem Recovery International Brian Turk Research Triangle Institute; Brian Green, Research Triangle Institute

    2010-01-27

    As many of the recovery boilers and other pieces of large capital equipment of U.S. pulp mills are nearing the end of their useful life, the pulp and paper industry will soon need to make long-term investments in new technologies. The ability to install integrated, complete systems that are highly efficient will impact the industry’s energy use for decades to come. Developing a process for these new systems is key to the adoption of state-of-the-art technologies in the Forest Products industry. This project defined an integrated process model that combines mini-sulfide sulfite anthraquinone (MSS-AQ) pulping and black liquor gasification with a proprietary desulfurization process developed by the Research Triangle Institute. Black liquor gasification is an emerging technology that enables the use of MSS-AQ pulping, which results in higher yield, lower bleaching cost, lower sulfur emissions, and the elimination of causticization requirements. The recently developed gas cleanup/absorber technology can clean the product gas to a state suitable for use in a gas turbine and also regenerate the pulping chemicals needed to for the MSS-AQ pulping process. The combination of three advanced technologies into an integrated design will enable the pulping industry to achieve a new level of efficiency, environmental performance, and cost savings. Because the three technologies are complimentary, their adoption as a streamlined package will ensure their ability to deliver maximum energy and cost savings benefits. The process models developed by this project will enable the successful integration of new technologies into the next generation of chemical pulping mills. When compared to the Kraft reference pulp, the MSS-AQ procedures produced pulps with a 10-15 % yield benefit and the ISO brightness was 1.5-2 times greater. The pulp refined little easier and had a slightly lower apparent sheet density (In both the cases). At similar levels of tear index the MSS-AQ pulps also produced a comparable tensile and burst index pulps. Product gas composition determined using computer simulations The results demonstrate that RVS-1 can effectively remove > 99.8% of the H2S present in simulated synthesis gas generated from the gasification of black liquor. This level of sulfur removal was consistent over simulated synthesis gas mixtures that contained from 6 to 9.5 vol % H2S.A significant amount of the sulfur in the simulated syngas was recovered as SO2 during regeneration. The average recovery of sulfur as SO2 was about 75%. Because these are first cycle results, this sulfur recovery is expected to improve. Developed WINGems model of the process.The total decrease in variable operating costs for the BLG process compared to the HERB was in excess of $6,200,000 per year for a mill producing 350,000 tons of pulp per year. This represents a decrease in operating cost of about $17.7/ton of oven dry pulp produced. There will be additional savings in labor and maintenance cost that has not been taken into account. The capital cost for the MSSAQ based gasifier system was estimated at $164,000,000, which is comparable to a High Efficiency Recovery Boiler. The return on investment was estimated at 4%. A gasifier replacement cannot be justified on its own, however if the recovery boiler needs to be replaced the MSSAQ gasifier system shows significantly higher savings. Before black liquor based gasifer technology can be commercialized more work is necessary. The recovery of the absorbed sulfur in the absorbent as sulfur dioxide is only 75%. This needs to be greater than 90% for economical operation. It has been suggested that as the number of cycles is increased the sulfur dioxide recovery might improve. Further research is necessary. Even though a significant amount of work has been done on a pilot scale gasifiers using liquors containing sulfur, both at low and high temperatures the lack of a commercial unit is an impediment to the implementation of the MSSAQ technology. The implementation of a commercial unit needs to be facilated before the benefits of

  1. Uranium Adsorption on Granular Activated Carbon – Batch Testing

    SciTech Connect (OSTI)

    Parker, Kent E.; Golovich, Elizabeth C.; Wellman, Dawn M.

    2013-09-26

    The uranium adsorption performance of two activated carbon samples (Tusaar Lot B-64, Tusaar ER2-189A) was tested using unadjusted source water from well 299-W19-36. These batch tests support ongoing performance optimization efforts to use the best material for uranium treatment in the Hanford Site 200 West Area groundwater pump-and-treat system. A linear response of uranium loading as a function of the solution-to-solid ratio was observed for both materials. Kd values ranged from ~380,000 to >1,900,000 ml/g for the B-64 material and ~200,000 to >1,900,000 ml/g for the ER2-189A material. Uranium loading values ranged from 10.4 to 41.6 ?g/g for the two Tusaar materials.

  2. Admission Control and Pricing in a Queue with Batch Arrivals Utku Yildirim John J. Hasenbein1

    E-Print Network [OSTI]

    Hasenbein, John

    , for example, setting the price high enough such that it is not advantageous for the incoming batch to enter for a revenue maximizing controller. Keywords: batch queues, pricing, admission control, Markov decision and that paper lists various real life examples where pricing might be helpful to control a queue. Naor [15

  3. Property:RAPID/Contact/ID9/Website | Open Energy Information

    Open Energy Info (EERE)

    page using this property. U Utah Department of Environmental Quality + http:www.deq.utah.gov + Retrieved from "http:en.openei.orgwindex.php?titleProperty:RAPIDContactID9...

  4. Economics, Quantitative Emphasis BA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Economics, Quantitative Emphasis BA, 2015-2016 Name ID# Date Course Number and Title Credits Quantitative Methods in Economics 3 FF ECON 422 Econometrics 3 Upper-division economics courses 16 MATH 175

  5. MINOR IN WEATHER AND CLIMATE (1913F) NAME___________________________________ ID# _______________________________

    E-Print Network [OSTI]

    Droegemeier, Kelvin K.

    MINOR IN WEATHER AND CLIMATE (1913F) NAME___________________________________ ID _______________ DATE_____________________________ A MINOR IN WEATHER AND CLIMATE REQUIRES A MINIMUM OF 15 HOURS IS REQUIRED. A MINOR IN WEATHER AND CLIMATE REQUIRES: A MINIMUM OF SIX HOURS FROM: METR 1014 WEATHER

  6. REPORTABLE RADIONUCLIDES IN DWPF SLUDGE BATCH 7A (MACROBATCH 8)

    SciTech Connect (OSTI)

    Reboul, S.; Diprete, D.; Click, D.; Bannochie, C.

    2011-12-20

    The Waste Acceptance Product Specifications (WAPS) 1.2 require that the waste producer 'shall report the curie inventory of radionuclides that have half-lives longer than 10 years and that are, or will be, present in concentrations greater than 0.05 percent of the total inventory for each waste type indexed to the years 2015 and 3115.' As part of the strategy to meet WAPS 1.2, the Defense Waste Processing Facility (DWPF) will report for each waste type all radionuclides that have half-lives longer than 10 years and contribute greater than 0.01 percent of the total curie inventory from the time of production through the 1100 year period from 2015 through 3115. The initial list of radionuclides to be reported is based on the design-basis glass identified in the Waste Form Compliance Plan (WCP) and Waste Form Qualification Report. However, it is required that the list be expanded if other radionuclides with half-lives greater than 10 years are identified that meet the 'greater than 0.01% of the curie inventory' criterion. Specification 1.6 of the WAPS, International Atomic Energy Agency Safeguards Reporting for High Level Waste (HLW), requires that the ratio by weights of the following uranium and plutonium isotopes be reported: U-233, U-234, U-235, U-236, and U-238; and Pu-238, Pu-239, Pu-240, Pu-241, and Pu-242. Therefore, the complete list of reportable radionuclides must also include these sets of U and Pu isotopes - and the U and Pu isotopic mass distributions must be identified. The DWPF receives HLW sludge slurry from Savannah River Site (SRS) Tank 40. For Sludge Batch 7a (SB7a), the waste in Tank 40 contained a blend of the heel from Sludge Batch 6 (SB6) and the Sludge Batch 7 (SB7) material transferred to Tank 40 from Tank 51. This sludge blend is also referred to as Macrobatch 8. Laboratory analyses of a Tank 40 sludge sample were performed to quantify the concentrations of pertinent radionuclides in the SB7a waste. Subsequently, radiological decay and in-growth were calculated over the time period from 2015 to 3115. This provided a basis for characterizing the radionuclide content of SB7a over time and for identifying the 'reportable radionuclides.' Details of the characterization methodology and the analytical results are the focus of this report. This work was performed at the request of the Waste Solidification Engineering Department of Savannah River Remediation, initiated via Technical Task Request (TTR) HLW-DWPF-TTR-2010-0031. A minor revision in the reporting requirements was requested via a subsequent email communication. The work was conducted in accordance with the protocols identified in Task Technical and Quality Assurance Plan SRNL-RP-2010-01218 and Analytical Study Plan SRNL-RP-2010-01219. All of the raw data related to this scope have been recorded in laboratory notebook SRNL-NB-2011-00061. The overall goal of this task was to characterize the radionuclide content of the SB7a waste sufficiently to meet the WAPS and DWPF reporting requirements. The specific objectives were: (1) Quantify the current concentrations of all radionuclides impacting (or potentially-impacting) the total curie content between calendar years 2011 and 3115. Also quantify the current concentrations of other radionuclides specifically requested in the TTR or required by the WAPS. (2) Calculate future concentrations of decayed and in-grown radionuclides impacting the total curie content between calendar years 2015 and 3115; (3) Identify as 'reportable' all radionuclides contributing {ge} 0.01% of the total curie content from 2015 to 3115 and having half-lives {ge} 10 years.

  7. SLUDGE BATCH 7 PREPARATION TANK 4 AND 12 CHARACTERIZATION

    SciTech Connect (OSTI)

    Bannochie, C.; Click, D.; Pareizs, J.

    2010-05-21

    Samples of PUREX sludge from Tank 4 and HM sludge from Tank 12 were characterized in preparation for Sludge Batch 7 (SB7) formulation in Tank 51. SRNL analyses on Tank 4 and Tank 12 were requested in separate Technical Assistance Requests (TAR). The Tank 4 samples were pulled on January 19, 2010 following slurry operations by F-Tank Farm. The Tank 12 samples were pulled on February 9, 2010 following slurry operations by H-Tank Farm. At the Savannah River National Laboratory (SRNL), two 200 mL dip samples of Tank 4 and two 200 mL dip samples of Tank 12 were received in the SRNL Shielded Cells. Each tank's samples were composited into clean 500 mL polyethylene storage bottles and weighed. The composited Tank 4 sample was 428.27 g and the composited Tank 12 sample was 502.15 g. As expected there are distinct compositional differences between Tank 4 and Tank 12 sludges. The Tank 12 slurry is much higher in Al, Hg, Mn, and Th, and much lower in Fe, Ni, S, and U than the Tank 4 slurry. The Tank 4 sludge definitely makes the more significant contribution of S to any sludge batch blend. This S, like that observed during SB6 washing, is best monitored by looking at the total S measured by digesting the sample and analyzing by inductively coupled plasma - atomic emission spectroscopy (ICPAES). Alternatively, one can measure the soluble S by ICP-AES and adjust the value upward by approximately 15% to have a pretty good estimate of the total S in the slurry. Soluble sulfate measurements by ion chromatography (IC) will be biased considerably lower than the actual total S, the difference being due to the non-sulfate soluble S and the undissolved S. Tank 12 sludge is enriched in U-235, and hence samples transferred into SRNL from the Tank Farm will need to be placed on the reportable special nuclear material inventory and tracked for total U per SRNL procedure requirements.

  8. Sample Results from Routine Salt Batch 7 Samples

    SciTech Connect (OSTI)

    Peters, T.

    2015-05-13

    Strip Effluent Hold Tank (SEHT) and Decontaminated Salt Solution Hold Tank (DSSHT) samples from several of the “microbatches” of Integrated Salt Disposition Project (ISDP) Salt Batch (“Macrobatch”) 7B have been analyzed for 238Pu, 90Sr, 137Cs, Inductively Coupled Plasma Emission Spectroscopy (ICPES), and Ion Chromatography Anions (IC-A). The results from the current microbatch samples are similar to those from earlier samples from this and previous macrobatches. The Actinide Removal Process (ARP) and the Modular Caustic-Side Solvent Extraction Unit (MCU) continue to show more than adequate Pu and Sr removal, and there is a distinct positive trend in Cs removal, due to the use of the Next Generation Solvent (NGS). The Savannah River National Laboratory (SRNL) notes that historically, most measured Concentration Factor (CF) values during salt processing have been in the 12-14 range. However, recent processing gives CF values closer to 11. This observation does not indicate that the solvent performance is suffering, as the Decontamination Factor (DF) has still maintained consistently high values. Nevertheless, SRNL will continue to monitor for indications of process upsets. The bulk chemistry of the DSSHT and SEHT samples do not show any signs of unusual behavior.

  9. Methods for batch fabrication of cold cathode vacuum switch tubes

    DOE Patents [OSTI]

    Walker, Charles A. (Albuquerque, NM); Trowbridge, Frank R. (Albuquerque, NM)

    2011-05-10

    Methods are disclosed for batch fabrication of vacuum switch tubes that reduce manufacturing costs and improve tube to tube uniformity. The disclosed methods comprise creating a stacked assembly of layers containing a plurality of adjacently spaced switch tube sub-assemblies aligned and registered through common layers. The layers include trigger electrode layer, cathode layer including a metallic support/contact with graphite cathode inserts, trigger probe sub-assembly layer, ceramic (e.g. tube body) insulator layer, and metallic anode sub-assembly layer. Braze alloy layers are incorporated into the stacked assembly of layers, and can include active metal braze alloys or direct braze alloys, to eliminate costs associated with traditional metallization of the ceramic insulator layers. The entire stacked assembly is then heated to braze/join/bond the stack-up into a cohesive body, after which individual switch tubes are singulated by methods such as sawing. The inventive methods provide for simultaneously fabricating a plurality of devices as opposed to traditional methods that rely on skilled craftsman to essentially hand build individual devices.

  10. SLUDGE BATCH 6/TANK 51 SIMULANT CHEMICAL PROCESS CELL SIMULATIONS

    SciTech Connect (OSTI)

    Koopman, David; Best, David

    2010-04-28

    Qualification simulant testing was completed to determine appropriate processing conditions and assumptions for the Sludge Batch 6 (SB6) Shielded Cells demonstration of the DWPF flowsheet using the qualification sample from Tank 51 for SB6 after SRNL washing. It was found that an acid addition window of 105-139% of the DWPF acid equation (100-133% of the Koopman minimum acid equation) gave acceptable Sludge Receipt and Adjustment Tank (SRAT) and Slurry Mix Evaporator (SME) results for nitrite destruction and hydrogen generation. Hydrogen generation occurred continuously after acid addition in three of the four tests. The three runs at 117%, 133%, and 150% stoichiometry (Koopman) were all still producing around 0.1 lb hydrogen/hr at DWPF scale after 42 hours of boiling in the SRAT. The 150% acid run reached 110% of the DWPF SRAT limit of 0.65 lb H{sub 2}/hr, and the 133% acid run reached 75% of the DWPF SME limit of 0.223 lb H{sub 2}/hr. Conversely, nitrous oxide generation was subdued compared to previous sludge batches, staying below 25 lb/hr in all four tests or about a fourth as much as in comparable SB4 testing. Two other processing issues were noted. First, incomplete mercury suspension impacted mercury stripping from the SRAT slurry. This led to higher SRAT product mercury concentrations than targeted (>0.45 wt% in the total solids). Associated with this issue was a general difficulty in quantifying the mass of mercury in the SRAT vessel as a function of time, especially as acid stoichiometry increased. About ten times more mercury was found after drying the 150% acid SME product to powder than was indicated by the SME product sample results. Significantly more mercury was also found in the 133% acid SME product samples than was found during the SRAT cycle sampling. It appears that mercury is segregating from the bulk slurry in the SRAT vessel, as mercury amalgam deposits for example, and is not being resuspended by the agitators. The second processing issue was significant ammonium ion formation as the acid stoichiometry was increased due to the high noble metal-high mercury feed conditions. Ammonium ion was found partitioned between the SRAT product slurry and the condensate from the lab-scale off-gas chiller downstream of the SRAT condenser. The ammonium ion was produced from nitrate ion by formic acid. Formate losses increased with increasing acid stoichiometry reaching 40% at the highest stoichiometry tested. About a third of the formate loss at higher acid stoichiometries appeared to be due to ammonia formation. The full extent of ammonia formation was not determined in these tests, since uncondensed ammonia vapor was not quantified; but total formation was bounded by the combined loss of nitrite and nitrate. Nitrate losses during ammonia formation led to nitrite-to-nitrate conversion values that were negative in three of the four tests. The negative results were an artifact of the calculation that assumes negligible SRAT nitrate losses. The sample data after acid addition indicated that some of the initial nitrite was converted to nitrate, so the amount of nitrate destroyed included nitrite converted to nitrate plus some of the added nitrate from the sludge and nitric acid. It is recommended that DWPF investigate the impact of SME product ammonium salts on melter performance (hydrogen, redox). It was recommended that the SB6 Shielded Cells qualification run be performed at 115% acid stoichiometry and allow about 35 hours of boiling for mercury stripping at the equivalent of a 5,000 lb/hr boil-up rate.

  11. Tc-99 Adsorption on Selected Activated Carbons - Batch Testing Results

    SciTech Connect (OSTI)

    Mattigod, Shas V.; Wellman, Dawn M.; Golovich, Elizabeth C.; Cordova, Elsa A.; Smith, Ronald M.

    2010-12-01

    CH2M HILL Plateau Remediation Company (CHPRC) is currently developing a 200-West Area groundwater pump-and-treat system as the remedial action selected under the Comprehensive Environmental Response, Compensation, and Liability Act Record of Decision for Operable Unit (OU) 200-ZP-1. This report documents the results of treatability tests Pacific Northwest National Laboratory researchers conducted to quantify the ability of selected activated carbon products (or carbons) to adsorb technetium-99 (Tc-99) from 200-West Area groundwater. The Tc-99 adsorption performance of seven activated carbons (J177601 Calgon Fitrasorb 400, J177606 Siemens AC1230AWC, J177609 Carbon Resources CR-1240-AW, J177611 General Carbon GC20X50, J177612 Norit GAC830, J177613 Norit GAC830, and J177617 Nucon LW1230) were evaluated using water from well 299-W19-36. Four of the best performing carbons (J177606 Siemens AC1230AWC, J177609 Carbon Resources CR-1240-AW, J177611 General Carbon GC20X50, and J177613 Norit GAC830) were selected for batch isotherm testing. The batch isotherm tests on four of the selected carbons indicated that under lower nitrate concentration conditions (382 mg/L), Kd values ranged from 6,000 to 20,000 mL/g. In comparison. Under higher nitrate (750 mg/L) conditions, there was a measureable decrease in Tc-99 adsorption with Kd values ranging from 3,000 to 7,000 mL/g. The adsorption data fit both the Langmuir and the Freundlich equations. Supplemental tests were conducted using the two carbons that demonstrated the highest adsorption capacity to resolve the issue of the best fit isotherm. These tests indicated that Langmuir isotherms provided the best fit for Tc-99 adsorption under low nitrate concentration conditions. At the design basis concentration of Tc 0.865 µg/L(14,700 pCi/L), the predicted Kd values from using Langmuir isotherm constants were 5,980 mL/g and 6,870 mL/g for for the two carbons. These Kd values did not meet the target Kd value of 9,000 mL/g. Tests conducted to ascertain the effects of changing pH showed that at pH values of 6.5 and 7.5, no significant differences existed in Tc-adsorption performance for three of the carbons, but the fourth carbon performed better at pH 7.5. When the pH was increased to 8.5, a slight decline in performance was observed for all carbons. Tests conducted to ascertain the temperature effect on Tc-99 adsorption indicated that at 21 şC, 27 şC, and 32 şC there were no significant differences in Tc-99 adsorption for three of the carbons. The fourth carbon showed a noticeable decline in Tc-99 adsorption performance with increasing temperature. The presence of volatile organic compounds (VOCs) in the source water did not significantly affect Tc-99 adsorption on either of two carbons tested. Technetium-99 adsorption differed by less than 15% with or without VOCs present in the test water, indicating that Tc-99 adsorption would not be significantly affected if VOCs were removed from the water prior to contact with carbon.

  12. Batch Enzymatic Hydrolysis of Pretreated Corn Stover and Improvements with Countercurrent Saccharification 

    E-Print Network [OSTI]

    Liang, Chao

    2015-07-29

    Enzymatic saccharification of non-food biomass, such as lignocellulose, can produce sugars. Sugars are the common feedstock for bioethanol, which can be substituted for transportation fuel and address the shortage of fossil fuels. Traditional batch...

  13. Progress in Multi-Batch Slip Stacking in the Fermilab Main Injector and Future Plans

    SciTech Connect (OSTI)

    Seiya, K.; Chase, B.; Dey, J.; Joireman, P.; Kourbanis, I.; Reid, J.; /Fermilab

    2008-04-01

    The multi-batch slip stacking has been used for operations since January, 2008 and effectively increased proton intensity to the NuMI target by 50% in a Main Injector (MI) cycle. The MI accepts 11 batches at injection energy from the Booster, and sends two batches to antiproton production and nine to the NuMI beam line. The total beam power in a cycle was increased to 340 kW on average. We have been doing beam studies in order to increase the beam power to 400 kW and to control the beam loss. We will also discuss 12 batch slip stacking scheme which is going to be used for future neutrino experiments.

  14. Site Selection for Concrete Batch Plant to Support Plutonium Disposition Facilities at the Savannah River Site

    SciTech Connect (OSTI)

    Wike, L.D.

    2001-06-15

    WSRC conducted a site selection study to identify, assess, and rank candidate sites for an onsite concrete batch plant at the Savannah River Site in the vicinity of F-Area.

  15. Tank 40 Final Sludge Batch 8 Chemical Characterization Results

    SciTech Connect (OSTI)

    Bannochie, Christopher J.

    2013-09-19

    A sample of Sludge Batch 8 (SB8) was pulled from Tank 40 in order to obtain radionuclide inventory analyses necessary for compliance with the Waste Acceptance Product Specifications (WAPS). The SB8 WAPS sample was also analyzed for chemical composition, including noble metals, and fissile constituents, and these results are reported here. These analyses along with the WAPS radionuclide analyses will help define the composition of the sludge in Tank 40 that is currently being fed to the Defense Waste Processing Facility (DWPF) as SB8. At SRNL, the 3-L Tank 40 SB8 sample was transferred from the shipping container into a 4-L high density polyethylene bottle and solids were allowed to settle. Supernate was then siphoned off and circulated through the shipping container to complete the transfer of the sample. Following thorough mixing of the 3-L sample, a 553 g sub-sample was removed. This sub-sample was then utilized for all subsequent slurry sample preparations. Eight separate aliquots of the slurry were digested, four with HNO{sub 3}/HCl (aqua regia) in sealed Teflon(r) vessels and four with NaOH/Na{sub 2}O{sub 2} (alkali or peroxide fusion) using Zr crucibles. Two Analytical Reference Glass - 1 (ARG-1) standards were digested along with a blank for each preparation. Each aqua regia digestion and blank was diluted to 1:100 mL with deionized water and submitted to Analytical Development (AD) for inductively coupled plasma - atomic emission spectroscopy (ICP-AES) analysis, inductively coupled plasma - mass spectrometry (ICP-MS) analysis, atomic absorption spectroscopy (AA) for As and Se, and cold vapor atomic absorption spectroscopy (CV-AA) for Hg. Equivalent dilutions of the alkali fusion digestions and blank were submitted to AD for ICP-AES analysis. Tank 40 SB8 supernate was collected from a mixed slurry sample in the SRNL Shielded Cells and submitted to AD for ICP-AES, ion chromatography (IC), total base/free OH-/other base, total inorganic carbon/total organic carbon (TIC/TOC) analyses. Weighted dilutions of slurry were submitted for IC, TIC/TOC, and total base/free OH-/other base analyses. Activities for U-233, U-235, and Pu-239 were determined from the ICP-MS data for the aqua regia digestions of the Tank 40 WAPS slurry using the specific activity of each isotope. The Pu-241 value was determined from a Pu-238/-241 method developed by SRNL AD and previously described.

  16. Uranium Adsorption on Ion-Exchange Resins - Batch Testing

    SciTech Connect (OSTI)

    Mattigod, Shas V.; Golovich, Elizabeth C.; Wellman, Dawn M.; Cordova, Elsa A.; Smith, Ronald M.

    2010-12-01

    The uranium adsorption performance of five resins (Dowex 1, Dowex 21K 16-30 [fresh], Dowex 21K 16-30 [regenerated], Purofine PFA600/4740, and ResinTech SIR-1200) were tested using unspiked, nitrate-spiked, and nitrate-spiked/pH adjusted source water from well 299-W19-36. These batch tests were conducted in support of a resin selection process in which the best resin to use for uranium treatment in the 200-West Area groundwater pump-and-treat system will be identified. The results from these tests are as follows: • The data from the high-nitrate (1331 mg/L) tests indicated that Dowex 1, Dowex 21K 16-30 (fresh), Purofine PFA600/4740, and ResinTech SIR-1200 all adsorbed uranium similarly well with Kd values ranging from ~15,000 to 95,000 ml/g. All four resins would be considered suitable for use in the treatment system based on uranium adsorption characteristics. • Lowering the pH of the high nitrate test conditions from 8.2 to 7.5 did not significantly change the uranium adsorption isotherms for the four tested resins. The Kd values for these four resins under high nitrate (1338 mg/L), lower pH (7.5) ranged from ~15,000 to 80,000 ml/g. • Higher nitrate concentrations greatly reduced the uranium adsorption on all four resins. Tests conducted with unspiked (no amendments; nitrate at 337 mg/L and pH at 8.2) source water yielded Kd values for Dowex 1, Dowex 21K 16-30 (fresh), Purofine PFA600/4740, and ResinTech SIR-1200 resins ranging from ~800,000 to >3,000,000 ml/g. These values are about two orders of magnitude higher than the Kd values noted from tests conducted using amended source water. • Compared to the fresh resin, the regenerated Dowex 21K 16-30 resin exhibited significantly lower uranium-adsorption performance under all test conditions. The calculated Kd values for the regenerated resin were typically an order of magnitude lower than the values calculated for the fresh resin. • Additional testing using laboratory columns is recommended to better resolve differences between the adsorption abilities of the resins and to develop estimates of uranium loading on the resins. By determining the quantity of uranium that each resin can adsorb and the time required to reach various levels of loading, resin lifetime in the treatment system can be estimated.

  17. "I'd Like to Check Out Two Books, One DVD, and One Electrical...

    Energy Savers [EERE]

    "I'd Like to Check Out Two Books, One DVD, and One Electrical Meter, Please." "I'd Like to Check Out Two Books, One DVD, and One Electrical Meter, Please." December 8, 2009 -...

  18. MA 261 EXAM II Fall 2001 Page 1/6 NAME STUDENT ID ...

    E-Print Network [OSTI]

    1910-20-20

    I.D.# is your 9 digit ID (probably your social security number). Also write your name at the top of ... information about the nature of f(1, -1). D. fxx(1, -1)fyy(1, -1) < 0.

  19. RAPID/Roadmap/14-ID-c | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report UrlNM-b < RAPID‎ | Roadmap JumpNV-a <CA-cID-a <ID-c

  20. TASD Update 2Alan Bross IDS Plenary Meeting Mumbai October 12-14, 2009

    E-Print Network [OSTI]

    McDonald, Kirk

    TASD Update #12;2Alan Bross IDS Plenary Meeting ­ Mumbai October 12-14, 2009 Fine Plenary Meeting ­ Mumbai October 12-14, 2009 TASD Performance Event Reconstruction Efficiency Muon charge mis-ID rate #12;4Alan Bross IDS Plenary Meeting ­ Mumbai October 12-14, 2009 TASD Performance II

  1. CRICOS Provider Code 00301J (WA) 02637B (NSW) Application for Student ID card External students

    E-Print Network [OSTI]

    Mucina, Ladislav

    institution Health Care, Social Security or Pension card Public Service employee ID card Other licence issued these requirements. Information about your new Curtin ID card Your Curtin ID card has a number of functions. First of buildings including Abacus Labs, print services and Library facilities. Your card also has a Curtin sticker

  2. Production of branched-chain alcohols by recombinant Ralstonia eutropha in fed-batch cultivation

    SciTech Connect (OSTI)

    Fei, Q; Brigham, CJ; Lu, JN; Fu, RZ; Sinskey, AJ

    2013-09-01

    Branched-chain alcohols are considered promising green energy sources due to their compatibility with existing infrastructure and their high energy density. We utilized a strain of Ralstonia eutropha capable of producing branched-chain alcohols and examined its production in flask cultures. In order to increase isobutanol and 3-methyl-1-butanol (isoamyl alcohol) productivity in the engineered strain, batch, fed-batch, and two-stage fed-batch cultures were carried out in this work. The effects of nitrogen source concentration on branched-chain alcohol production were investigated under four different initial concentrations in fermenters. A maximum 380 g m(-3) of branched-chain alcohol production was observed with 2 kg m(-3) initial NH4Cl concentration in batch cultures. A pH-stat control strategy was utilized to investigate the optimum carbon source amount fed during fed-batch cultures for higher cell density. In cultures of R. eutropha strains that did not produce polyhydroxyalkanoate or branched-chain alcohols, a maximum cell dry weight of 36 kg m(-3) was observed using a fed-batch strategy, when 10 kg m(-3) carbon source was fed into culture medium. Finally, a total branched-chain alcohol titer of 790 g m(-3), the highest branched-chain alcohol yield of 0.03 g g(-1), and the maximum branched-chain alcohol productivity of 8.23 g m(-3) h(-1) were obtained from the engineered strain Re2410/pJL26 in a two-stage fed-batch culture system with pH-stat control. Isobutanol made up over 95% (mass fraction) of the total branched-chain alcohols titer produced in this study. (C) 2013 Published by Elsevier Ltd.

  3. APPLICATION to TEACHER EDUCATION PROGRAM(S) NAME: STUDENT ID#

    E-Print Network [OSTI]

    Minnesota, University of

    APPLICATION to TEACHER EDUCATION PROGRAM(S) NAME: STUDENT ID#: CAMPUS ADDRESS: CAMPUS EMAIL applying to enter the following teacher licensure program(s): Early Childhood Education (Birth through Grade 3) Elementary Education (Kindergarten through Grade 6) I understand the following admission

  4. SENIOR HONORS THESIS CONTRACT Honors Student Name: Student ID

    E-Print Network [OSTI]

    Lawrence, Rick L.

    SENIOR HONORS THESIS CONTRACT HONR 490 Honors Student Name: Student ID: Date Submitted: The Senior Honors Thesis is an independent research/creativity project that enables Honors students to synthesize. At the completion of the Senior Honors Thesis, a public presentation of your work is required. A copy of the thesis

  5. Bachelor of Science, Geophysics, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Geophysics, 2013-2014 Name ID# Date General Degree Requirements Residency with Lab 4 COMPSCI 115 Introduction to C 2 GEOPH 201 Seeing the Unseen: an Introduction to Geophysics 4 GEOPH 300 Physics of the Earth 3 GEOPH 305 Applied Geophysics 3 GEOPH 420 Geophysical Applications

  6. History BA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    History BA, 2015-2016 Name ID# Date Course Number and Title Credits Completed InProgress Future Government (recommended) 3 DLS Social Sciences course in a second field other than history 3 One year of college level foreign language in sequence Language equivalency required by the history department

  7. History, Secondary Education BA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    History, Secondary Education BA, 2015-2016 Name ID# Date Course Number and Title Credits Completed equivalency required by the history department will be determined by the department of modern languages or the history department. 8 HIST 111/211 United States History 3 HIST 112/212 United States History 3 CID HIST

  8. Mathematics BS, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Mathematics BS, 2015-2016 Name ID# Date Course Number and Title Credits Completed In Progress and Foundational Mathematics I 3 MATH 275 Multivariable and Vector Calculus 4 CID MATH 287 Communication in the Mathematical Sciences 3 MATH 305 Intro to Abstract Algebra & Number Theory 3 MATH 314 Foundations of Analysis 3

  9. Applied Mathematics BS, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Applied Mathematics BS, 2015-2016 Name ID# Date Course Number and Title Credits Completed Mathematics I 3 MATH 275 Multivariable and Vector Calculus 4 CID MATH 287 Communication in the Mathematical To Computational Mathematics 3 FF MATH 401 Senior Thesis in the Mathematical Sciences 1 MATH 465 Numerical Analysis

  10. IDS120h GEOMETRY SHIELDING VESSELS: STAINLESS STEEL vs. TUNGSTEN

    E-Print Network [OSTI]

    McDonald, Kirk

    IDS120h GEOMETRY SHIELDING VESSELS: STAINLESS STEEL vs. TUNGSTEN SHIELDING MATERIAL: 60%WC+40%H2 O shielding vessels (STST OR W) Different cases of shielding material. >mars1510/MCNP >10-11 MeV NEUTRON ENERGY CUTOFF >SHIELDING:60%WC+40%H2 O (STST or W VESSELS), 80%WC+20%He, 80%W+20%He (W VESSELS) >4 MW

  11. Article ID: Query Translation on the Fly in Deep Web

    E-Print Network [OSTI]

    Article ID: Query Translation on the Fly in Deep Web Integration Jiang Fangjiao, Jia Linlin, Meng users to access the desired information, many researches have dedicated to the Deep Web (i.e. Web databases) integration. We focus on query translation which is an important part of the Deep Web integration

  12. CONTROL ID: 1187959 TITLE: Climate destabilization on tidally locked exoplanets

    E-Print Network [OSTI]

    CONTROL ID: 1187959 TITLE: Climate destabilization on tidally locked exoplanets PRESENTATION TYPE-zone rocky planets, should be tidally locked. We will discuss two different feedbacks that can destabilize cause a runaway climate shift. We use an idealized energy balance model to illustrate the scope

  13. ORNL 2010-G01074/jcn UT-B ID 200301298

    E-Print Network [OSTI]

    of the hybrid phase change material in the heat pump cycle. The material combines Group I and II halides Keith Rice, Super Energy Saver Heat Pump with Dynamic Hybrid Phase Change Material, U.S. Patent 7ORNL 2010-G01074/jcn UT-B ID 200301298 Super Energy Saver Heat Pump Technology Summary ORNL

  14. Marketing BBA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Marketing BBA, 2015-2016 Name ID# Date Course Number and Title Credits Completed In Progress Future MGMT 301 Leadership Skills 3 MKTG 301 Principles of Marketing 3 MKTG 307 Customer Behavior 3 MKTG 315 Marketing Research 3 MKTG 321 Professional Selling 3 MKTG 425 Marketing Planning Applications 3 PSYC 101

  15. Visual Art BA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Visual Art BA, 2015-2016 Name ID# Date Course Number and Title Credits Completed InProgress Future Survey of Western Art I 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social Sciences course in a second field 3 ART 107, 108 Art Foundations I and II 6 ART 109

  16. Photo ID Form 2014-15 Queen's University at Kingston

    E-Print Network [OSTI]

    Fletcher, Robin

    Photo ID Form 2014-15 Queen's University at Kingston Office of the University Registrar The personal information on the `Photo Identification Student Card' form is collected under the authority of the University Registrar to create your photo identification student card. Your photo will be made available

  17. Physics BS, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Physics BS, 2015-2016 Name ID# Date Physics BS Credits Completed In Progress Future ENGL 101 Foundations 3 UF 200 Civic and Ethical Foundations 3 DLM MATH 170 Calculus I 4 DLN PHYS 211, 211L Physics I with Calculus & Lab 5 DLN PHYS 212, 212L Physics II with Calculus & Lab 5 DLV Visual and Performing Arts 3 DLL

  18. Physics BS, Astrophysics Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Physics BS, Astrophysics Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 4 DLN PHYS 211, 211L Physics I with Calculus & Lab 5 DLN PHYS 212, 212L Physics II with Calculus Electronics 4 PHYS 309, 309L Introductory Quantum Physics & Lab 4 PHYS 311 Modern Physics 3 PHYS 325

  19. Biomedical Engineering Minor, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Biomedical Engineering Minor, 2015-2016 Name ID# Date Course Number and Title Credits Completed InProgress Future BIOL 191 General Biology I 4 BIOL/ME/MSE 477 Biomaterials 3 ENGR 210 Engineering Statics* 3 ME 112 Introduction to Biomedical Engineering 1 ME 356 Introduction to Solid Biomechanics 3 One of the following

  20. Civil Engineering BS, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Civil Engineering BS, 2015-2016 Name ID# Date Course Number and Title Credits Completed In course in a second field* 3 CE 210, 211 Engineering Surveying and Lab 3 CE 280 Civil Engineering Case Studies 2 CE 282 Engineering Practice 3 CE 284 Computational Methods 2 CE 320 Principles of Environmental

  1. Mechanical Engineering BS, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Mechanical Engineering BS, 2015-2016 Name ID# Date Course Number and Title Credits Completed Mechanical Engineering Graphics 3 ME 271 Introduction to Computation for Engineers 3 ME 302 or ENGR 320 or ENGR 330, 331 Fluid Mechanics and Lab 4 ME 350 or CE 350 or ENGR 350 Engineering Mechanics of Materials

  2. Music, Composition BM, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Music, Composition BM, 2015-2016 Name ID# Date Course Number and Title Credits Completed 3-4 DLV MUS 100 Introduction to Music 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social Sciences course in a second field 3 MUS 119, 120, 219, 220 Materials of Music

  3. Music Education BM, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Music Education BM, 2015-2016 Name ID# Date Course Number and Title Credits Completed In Progress Introduction to Music 3 DLL Literature and Humanities 3-4 DLS ED-CIFS 201 Foundations of Education 3 DLS Social 119*, 120, 219, 220 Materials of Music (*with grade of C or higher this course satisfies

  4. Music BA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Music BA, 2015-2016 Name ID# Date Course Number and Title Credits Completed In Progress Future ENGL Introduction to Music 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social Sciences course in a second field 3 MUS 119, 120, 219, 220 Materials of Music 12 MUS 121, 122 221

  5. ORNL 2010-G00967/jcn UT-B ID 200802057

    E-Print Network [OSTI]

    ORNL 2010-G00967/jcn UT-B ID 200802057 Treatment of Fuel Process Wastewater Using Fuel Cells Technology Summary ORNL researchers invented a method using microbial fuel cells for cleansing fuel processing water of hydrocarbon by-products and metal salts. This cost efficient method can be used on

  6. Biology BS, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Biology BS, 2015-2016 Name ID# Date Course Number and Title Credits Completed InProgress Future General Biology I 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 DLV Visual and Performing Arts 3 DLL in a second field 3 BIOL 192 General Biology II 4 BIOL 301 Cell Biology 3 CID BIOL 323 Ecology 4 BIOL 343

  7. Biology BS, Microbiology Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Biology BS, Microbiology Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 170 4 DLN BIOL 191 General Biology I 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 DLV Visual Sciences course in a second field 3 BIOL 192 General Biology II 4 BIOL 301 Cell Biology 3 CID BIOL 323

  8. Biology BS, Ecology Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Biology BS, Ecology Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits Completed DLN BIOL 191 General Biology I 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 DLV Visual Sciences course in a second field 3 BIOL 192 General Biology II 4 BIOL 301 Cell Biology 3 CID BIOL 323

  9. Biology BS, Botany Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Biology BS, Botany Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits Completed DLN BIOL 191 General Biology I 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 DLV Visual Sciences course in a second field 3 BIOL 192 General Biology II 4 BIOL 301 Cell Biology 3 CID BIOL 323

  10. Biology BS, Zoology Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Biology BS, Zoology Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits Completed In General Biology I 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 DLV Visual and Performing Arts 3 DLL in a second field 3 BIOL 192 General Biology II 4 BIOL 301 Cell Biology 3 CID BIOL 323 Ecology 4 BIOL 343

  11. Communication BA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Communication BA, 2015-2016 Name ID# Date Course Number and Title Credits Completed In and Performing Arts 3 DLL Literature and Humanities 3-4 DLS COMM 101 Fundamentals of Communication 3 DLS Social Sciences course in a second field 3 Communication Arts - choose one from the following: COMM 131, COMM 211

  12. Psychology BS, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Psychology BS, 2015-2016 Name ID# Date Course Number and Title Credits Completed InProgress Future Sciences course in a second field 3 BIOL 228 Human Anatomy and Physiology 4 PSYC 101 General Psychology 3 PSYC 120 Introduction to the Psychology Major 2 PSYC 295 Statistical Methods 3 CID PSYC 321 Research

  13. Psychology Taster Days in Schools and FE Colleges (ID:317)

    E-Print Network [OSTI]

    Martin, Ralph R.

    Psychology Taster Days in Schools and FE Colleges (ID:317) Outline The University's Psychology department brings its students and staff to local schools and colleges to discuss studying psychology Psychology at Higher Education level. A pre-planned programme of events will focus on Psychology as a Science

  14. Electrical Engineering BS, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Electrical Engineering BS, 2015-2016 Name ID# Date Course Number and Title Credits Completed In, 121L Computer Science I and lab 4 CS 221 Computer Science II 3 ECE 210 Introduction to Electric ECE 380, 380L Electrical Engineering Practice and Lab 3 ECE 480 Senior Design Project I 3 FF ECE 482

  15. Kinesiology BS, Biomechanics Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Kinesiology BS, Biomechanics Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits, 331 Exercise Physiology and Lab 4 KINES 363 Exercise Psychology 3 KINES 370, 371 Biomechanics and Lab Biomechanics 3 #12;PHYS 211, 211L Physics I with Calculus and Lab 5 PHYS 212, 212L Physics II with Calculus

  16. Social Science AA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Social Science AA, 2015-2016 Name ID# Date Course Number and Title Credits Completed In, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL Literature and Humanities 3-4 DLS COMM 101 or COMM 112 3 DLS Social Sciences course

  17. Social Science BS, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Social Science BS, 2015-2016 Name ID# Date Course Number and Title Credits Completed In, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social

  18. Residency Pre-Screening Form (pre) Name ____________________________ ID#____________________________

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    much more quickly. COMPLETED RESIDENCY QUESTIONNAIRE YES MONTANA DRIVER'S LICENSE OR STATE ID YES N/A ISSUE DATE _________ If you do not have a copy of your MT Driver's License contact the local Department-TO-DATE YES NO YTD AMOUNT _________ MONTANA STATE INCOME TAX RETURN YES NO N/A FINANCIAL AID: AWARD LETTER

  19. https://doyouliveunited.org 1. Enter you user ID

    E-Print Network [OSTI]

    Search' button. 7. Enter you search terms for the agency of your choice and click on `Search'. #12;httpshttps://doyouliveunited.org 1. Enter you user ID: your email address Enter your password: welcome be different then the options listed here. 5. For a payroll pledge, enter the amount per pay or the total

  20. Computer Science BS, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Computer Science BS, 2015-2016 Name ID# Date Course Number and Title Credits Completed In DLS ENGL 202 Technical Communication 3 CS 121, 121L Computer Science I and Lab 4 CS 221 Computer Science II 3 CID CS 230 Ethical Issues in Computing 3 CS 253 Introduction to Systems Programming 3 CS 321

  1. Chemistry BS, Forensics Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Chemistry BS, Forensics Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits Completed 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 DLN PHYS 211, 211L Physics I with Calculus & Lab and Justice 3 DLS Social Sciences course in a second field 3 CHEM 112, 112L General Chemistry II & Lab 4 CHEM

  2. Chemistry BS, Biochemistry Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Chemistry BS, Biochemistry Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 DLN PHYS 211, 211L Physics I with Calculus & Lab in a first field 3 DLS Social Sciences course in a second field 3 CHEM 112, 112L General Chemistry II & Lab 4

  3. Economics BA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Economics BA, 2015-2016 Name ID# Date Course Number and Title Credits Completed InProgress Future Intermediate Macroeconomics 3 CID ECON 421 Quantitative Methods in Economics 3 FF ECON 422 Econometrics 3 Upper-division economics courses 15 Upper-division mathematics, business, or environmental studies courses or social

  4. Business Economics BBA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Business Economics BBA, 2015-2016 Name ID# Date Course Number and Title Credits Completed 305 Intermediate Macroeconomics 3 ECON 421 Quantitative Methods in Economics 3 ECON 422 Econometrics 3 Upper-division economics electives 15 FINAN 303 Principles of Finance 3 GENBUS 101 Business for the New

  5. IST Taguspark lana Programa Escola 2.0 Id: 40472638

    E-Print Network [OSTI]

    Instituto de Sistemas e Robotica

    .php?option=com_content&task=view&id=105828&pop=1&page=0&Itemid=302 Texto: Escrito por CienciaPT 28-Feb-2012 O Campus do Taguspark do Instituto Superior Técnico celebrou hoje, dia 28 de Fevereiro, ŕs 12h00

  6. Environmental Studies Minor, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Environmental Studies Minor, 2015-2016 Name ID# Date Course Number and Title Credits Completed InProgress Future ENVSTD 121 Introduction to Environmental Studies 3 GEOG 100 Introduction to Geography 3 *ANTH 314 Environmental Anthropology or *BIOL 323 Ecology or *GEOG 321 Conservation of Natural Resources 3-4 *ECON 333

  7. Environmental Studies Major Checklist 2013-2014 Name: ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Environmental Studies Major Checklist 2013-2014 Name: ID# Date: Course Number and Title Credits DLN GEOS 101 Global environmental science PREREQ: Math 108 or higher 4 DLV Visual and Performing Arts to Environmental studies 3 CID ENVSTD 221 People and Nature PREREQ: ENSTD 121 and ENG 102 4 ENVSTD 491 Project

  8. Exam 1 Phys 105 Section______Fall 2002 Name__________________________________ ID

    E-Print Network [OSTI]

    Gary, Dale E.

    Exam 1 Phys 105 Section______Fall 2002 Name__________________________________ ID: Closed book exam each. Work out problems are 4 points each. Passing of the exam requires at least 50% of the maximum an expression, a t2 /2 where a is acceleration and t is time. The dimension of this expression in the SI system

  9. UT-B ID 200701930 ORNL 2010-G00649/jcn

    E-Print Network [OSTI]

    UT-B ID 200701930 ORNL 2010-G00649/jcn Skin-Like Prosthetic Polymer Surfaces Technology Summary, 2009. Inventors John T. Simpson1 and Ilia N. Ivanov2 1 Engineering Science and Technology Division 2 Materials Science and Technology Division Oak Ridge National Laboratory Licensing Contact Gregory C

  10. IDS120h GEOMETRY WITH MODIFIED Hg POOL VESSEL SIMULATIONS FOR 60% W + 40% He SHIELDING (P12 'POINT') WITH

    E-Print Network [OSTI]

    McDonald, Kirk

    IDS120h GEOMETRY WITH MODIFIED Hg POOL VESSEL SIMULATIONS FOR 60% W + 40% He SHIELDING (P12 'POINT POWER DISTRIBUTION. Nicholas Souchlas, PBL (1/24/2012) 1 #12;IDS120hm: (m IS FOR) modified Hg pool 'POINT'). >GAUSSIAN PROFILE: x = y = 0.12 cm. 2 #12;3 IDS120hm GEOMETRY = IDS120h WITH MODIFIED Hg POOL

  11. Results Of Initial Analyses Of The Salt (Macro) Batch 9 Tank 21H Qualification Samples

    SciTech Connect (OSTI)

    Peters, T.

    2015-10-08

    Savannah River National Laboratory (SRNL) analyzed samples from Tank 21H in support of qualification of Interim Salt Disposition Project (ISDP) Salt (Macro) Batch 9 for processing through the Actinide Removal Process (ARP) and the Modular Caustic-Side Solvent Extraction Unit (MCU). This document reports the initial results of the analyses of samples of Tank 21H. Analysis of the Tank 21H Salt (Macro) Batch 9 composite sample indicates that the material does not display any unusual characteristics. Further results on the chemistry and other tests will be issued in the future.

  12. Results of initial analyses of the salt (macro) batch 9 tank 21H qualification samples

    SciTech Connect (OSTI)

    Peters, T. B.

    2015-10-01

    Savannah River National Laboratory (SRNL) analyzed samples from Tank 21H in support of qualification of Interim Salt Disposition Project (ISDP) Salt (Macro) Batch 9 for processing through the Actinide Removal Process (ARP) and the Modular Caustic-Side Solvent Extraction Unit (MCU). This document reports the initial results of the analyses of samples of Tank 21H. Analysis of the Tank 21H Salt (Macro) Batch 9 composite sample indicates that the material does not display any unusual characteristics or observations, such as floating solids, the presence of large amount of solids, or unusual colors. Further results on the chemistry and other tests will be issued in the future.

  13. Batch polymerization of styrene initiated by n-butyl lithium in a cyclohexane solvent 

    E-Print Network [OSTI]

    Landon, Thomas Rodman

    1971-01-01

    Committee ea Depa tment Mem er Mem er em er August 1971 ABSTRACT Batch Polymerization of Styrene Initiated by N-Butyl Lithium in Cyclohexane Solvent. (August 19 71) Thomas Rodman Landon, B, S. , Te x as A (&M Un i ve rs i ty Directed by: Dr.... Rayford G. Anthony Styrene is polymerized by n-butyl lithium with cyclo- hexane as the solvent. The polymerization is carried out in an isothermal batch reactors at three temperature 30, 40, and 50'C. The proposed reaction proceeds by a homo- geneous...

  14. Batch polymerization of styrene initiated by n-butyllithium in benzene 

    E-Print Network [OSTI]

    Tanlak, Tayfun

    1975-01-01

    BATCH POLYMERIZATION OF STYRENE INITIATED BY n-BUTYLLITHIUM IN BENZENE A Thesis by TAYFUN TANLAK Submitted to the Graduate Co'l1ege of Texas Anil University in partial fu1fi11ment of the requirement for the degree cf MASTER OF SCIENCE... August 1975 Major Subject: Chemica1 Engineering BATCH POLYMERIZATION OF STYRENE INITIATED BY n-BUTYLLITHIUM IN BENZENE A Thesis by TAYFUN TANLAK Approved as to style and content by: Chairman of Committee Head Department Member ~ /z'1tup Member...

  15. Directed batch assembly of three-dimensional helical nanobelts through angular winding and electroplating

    E-Print Network [OSTI]

    Sun, Yu

    and electroplating This article has been downloaded from IOPscience. Please scroll down to see the full text article of three-dimensional helical nanobelts through angular winding and electroplating D J Bell1 , T E Bauert1. In a subsequent Au electroplating step, contacts are electroformed and the batch assembly is completed, while

  16. Batch-mode vs Online-mode Supervised Learning Motivations for Artificial Neural Networks

    E-Print Network [OSTI]

    Wehenkel, Louis

    Batch-mode vs Online-mode Supervised Learning Motivations for Artificial Neural Networks Linear ANN-mode vs Online-mode Supervised Learning Motivations for Artificial Neural Networks Linear ANN Models for Artificial Neural Networks Linear ANN Models Single neuron models Single layer models Nonlinear ANN Models

  17. Transfer-Free Batch Fabrication of Large-Area Suspended Graphene Membranes

    E-Print Network [OSTI]

    Zettl, Alex

    heightened for the preparation of sus- pended graphene structures to ascertain graphene's fundamentalTransfer-Free Batch Fabrication of Large- Area Suspended Graphene Membranes Benjami´n Alema of the predicted properties arising from the two-dimensional nature of graphene1 4 can be obscured or altered

  18. NESTED BATCH MODE LEARNING AND STOCHASTIC OPTIMIZATION WITH AN APPLICATION TO SEQUENTIAL

    E-Print Network [OSTI]

    Powell, Warren B.

    . optimal learning, materials science, sequential design of experiments, decision making, dynamicNESTED BATCH MODE LEARNING AND STOCHASTIC OPTIMIZATION WITH AN APPLICATION TO SEQUENTIAL MULTI-STAGE TESTING IN MATERIALS SCIENCE YINGFEI WANG, KRISTOFER G. REYES, KEITH A. BROWN§, CHAD A. MIRKIN

  19. Design and Optimization of Condenser and Centrifuge Units for Enhancement of a Batch Vacuum Frying System 

    E-Print Network [OSTI]

    Pandey, Akhilesh

    2011-02-22

    A batch vacuum frying system, which processes fruits and vegetables, includes a frying pan, a surface-condenser, and a vacuum pump. With health and safety issues in mind, this research focused on developing a modified surface-condenser to prevent...

  20. Microbial Fuel Cells In this experiment, a batch mixed culture microbial fuel cell with Shewanella

    E-Print Network [OSTI]

    Fay, Noah

    Microbial Fuel Cells Abstract In this experiment, a batch mixed culture microbial fuel cell conditions under nitrogen gas. In the microbial fuel cell with Shewanella putrefaciens sp. 200 as catalysisM at pH=7. Introduction Microbial fuel cells (MFC) are systems that take advantage of certain

  1. APPLIED MICROBIAL AND CELL PHYSIOLOGY Electricity production from xylose in fed-batch

    E-Print Network [OSTI]

    to ethanol production from pentoses is energy production using a microbial fuel cell (MFC). An MFCAPPLIED MICROBIAL AND CELL PHYSIOLOGY Electricity production from xylose in fed-batch and continuous-flow microbial fuel cells Liping Huang & Bruce E. Logan Received: 23 March 2008 /Revised: 30 May

  2. On the Social Welfare of Mechanisms for Repeated Batch Matching Elliot Anshelevich

    E-Print Network [OSTI]

    Anshelevich, Elliot

    in the market for the next round. This setting models several scenarios of interest, includ- ing many job of work on analyzing single rounds of markets that clear in batches as well as on designing and an compatibility dominate. There is now a signifi- cant literature on market design for achieving various differ

  3. Control of incident irradiance on a batch operated flat-plate photobioreactor

    E-Print Network [OSTI]

    Pilon, Laurent

    microalgae growth rate. Then, the feed-forward inversion control scheme adjusted the incident irradiance biomass and lipid productivity in microalgae cultivation. The present approach can rapidly identify and productivity of microalgae. This was illustrated with Nannochloropsis oculata batch grown in a flat-plate PBR

  4. Production Leveling (Heijunka) Implementation in a Batch Production System: a Case Study

    E-Print Network [OSTI]

    Boyer, Edmond

    of Production Leveling outside automotive networks. Additionally, one can question whether Lean Manufacturing, Department of Manufacturing, GETEQ Research Group, Caixa Postal 476, Campus Universitário, Trindade, 88040 on a subsidiary of a multinational enterprise located on Brazil, which manufacturing processes comprise batch

  5. Hybrid Batch Bayesian Optimization Javad Azimi AZIMI@EECS.OREGONSTATE.EDU

    E-Print Network [OSTI]

    Fern, Xiaoli Zhang

    motivating application we try to optimize the power output of nano-enhanced Microbial Fuel Cells (MFCs). MFCsHybrid Batch Bayesian Optimization Javad Azimi AZIMI@EECS.OREGONSTATE.EDU Oregon State University Abstract Bayesian Optimization (BO) aims at optimizing an unknown function that is costly to evaluate. We

  6. Supplementary Analysis For: The sva package for removing batch effects and other unwanted variation in

    E-Print Network [OSTI]

    Leek, Jeffrey

    Storey3 1 Johns Hopkins Bloomberg School of Public Health 2 Boston University 3 Princeton University the data from an ExpressionSet 1 2 Applying the fsva function to remove batch effects for prediction 2 1) > library(sva) > library(bladderbatch) 1 #12;> library(RColorBrewer) > data(bladderdata) > library

  7. Greedy Algorithm for Scheduling Batch Plants with Sequence-Dependent Changeovers

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    of multistage batch plants with a large number of orders and sequence-dependent changeovers. Such problems marketplace can only be ensured if companies optimize the various functions within their supply chain with many related optimization problems, such as maintenance planning, energy and inventory optimization

  8. Nitrogen removal via nitrite in a sequencing batch reactor treating sanitary landfill leachate

    E-Print Network [OSTI]

    Nitrogen removal via nitrite in a sequencing batch reactor treating sanitary landfill leachate, for the automation of a bench-scale SBR treating leachate generated in old landfills. Attention was given confirm the effectiveness of the nitrite route for nitrogen removal optimisation in leachate treatment

  9. Intelligent monitoring system for long-term control of Sequencing Batch Reactors

    E-Print Network [OSTI]

    -scale Sequencing Batch Reactor (SBR) treating nitrogen-rich wastewater (sanitary landfill leachate). The paper). Leachate generated in old landfills is a high-strength wastewater and is characterized by a low COD monitoring tool for adjusting the phase length and COD addition in SBRs treating sanitary landfill leachate

  10. Optimisation of sanitary landfill leachate treatment in a sequencing batch reactor

    E-Print Network [OSTI]

    Optimisation of sanitary landfill leachate treatment in a sequencing batch reactor A. Spagni, S was operated for almost three years in an attempt to optimise the treatment of leachates generated in old and N removal were usually higher than 98% and 90%, respectively, whereas COD (of the leachate) removal

  11. Utilizing Green Energy Prediction to Schedule Mixed Batch and Service Jobs in Data Centers

    E-Print Network [OSTI]

    Simunic, Tajana

    Utilizing Green Energy Prediction to Schedule Mixed Batch and Service Jobs in Data Centers Baris on using immediately available green energy to supplement the non- renewable, or brown energy at the cost of canceling and rescheduling jobs whenever the green energy availability is too low [16]. In this paper we

  12. Characterization Of The As-Received Sludge Batch 9 Qualification Sample (Htf-51-15-81)

    SciTech Connect (OSTI)

    Pareizs, J.

    2015-09-30

    Savannah River National Laboratory (SRNL) personnel have been requested to qualify the next sludge batch (Sludge Batch 9 – SB9) for processing at the Defense Waste Processing Facility (DWPF). To accomplish this task, Savannah River Remediation (SRR) has sent SRNL a 3-L slurried sample of Tank 51H (HTF-51-15-81) to be characterized, washed, and then used in a lab-scale demonstration of the DWPF flowsheet (potentially after combining with Tank 40H sludge). This report documents the first steps of the qualification process – characterization of the as-received Tank 51H qualification sample. These results will be used to support a reprojection of SB9 by SRR from which final Tank 51H washing, frit development, and Chemical Processing Cell (CPC) activities will be based.

  13. DOE-ID Procurement Services ďż˝ the action team

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSite toDOE, StateResearchers111DOE-ID

  14. File:INL-geothermal-id.pdf | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New Pages Recent Changes AllApschem.pdfgasp 03.pdf JumpGerak.pdf Jump to:hi.pdf Jump to:id.pdf

  15. Property:HPBD/ProjectId | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo,AltFuelVehicle2 Jump to: navigation, search This isGeothermalArraAwardeeCostShareProjectId

  16. RAPID/Roadmap/13-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/Colorado <RAPID/Geothermal/Water Use/Nevadaa < RAPID‎ | Roadmap Jumpf <ID-a <

  17. RAPID/Roadmap/14-ID-d | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/Colorado <RAPID/Geothermal/Water Use/Nevadaa < RAPID‎ | RoadmapCO-c <FD-cID-d

  18. RAPID/Roadmap/19-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/Colorado <RAPID/Geothermal/Water Use/Nevadaa < RAPID‎f < RAPID‎ | RoadmaphID-a

  19. RAPID/Roadmap/20-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/Colorado <RAPID/Geothermal/Water Use/Nevadaa < RAPID‎f <CA-a < RAPID‎ID-a

  20. RAPID/Roadmap/9-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/Colorado <RAPID/Geothermal/Water Use/Nevadaa <NV-b <Roadmap/9-CA-bl <ID-a <

  1. RAPID/Roadmap/14-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report UrlNM-b < RAPID‎ | Roadmap JumpNV-a <CA-cID-a <

  2. RAPID/Roadmap/14-ID-f | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report UrlNM-b < RAPID‎ | Roadmap JumpNV-a <CA-cID-a

  3. RAPID/Roadmap/5-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report UrlNM-b < RAPID‎ | RoadmapAK-a <CA-ae <cCA-aID-a

  4. RAPID/Roadmap/8-ID-e | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report UrlNM-b < RAPID‎ | RoadmapAK-abFD-a < RAPID‎ID-e

  5. Department of Energy Idaho - Inside DOE-ID

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you not find what you were looking for?DelegationsInside ID Inside Idaho

  6. Microsoft Word - 140602DOE-ID_OperationsSummary.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete and realistic microscopic calculations Mr., 2014 DOE-ID

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based Femtosecond65611 DOE-ID-INL-10-020

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based Femtosecond65611 DOE-ID-INL-10-02021

  9. Microsoft Word - DOE-ID-INL-14-046.docx

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  1. Microsoft Word - DOE-ID-INL-15-001.docx

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  3. Microsoft Word - DOE-ID-INL-15-003.docx

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  4. Microsoft Word - DOE-ID-INL-15-004.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4 SECTION A.

  5. Microsoft Word - DOE-ID-INL-15-005.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4 SECTION A.5

  6. Microsoft Word - DOE-ID-INL-15-006.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4 SECTION A.56

  7. Microsoft Word - DOE-ID-INL-15-007.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4 SECTION

  8. Microsoft Word - DOE-ID-INL-15-008.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4 SECTION8

  9. Microsoft Word - DOE-ID-INL-15-009.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4 SECTION82 CS

  10. Microsoft Word - DOE-ID-INL-15-010.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4 SECTION82

  11. Microsoft Word - DOE-ID-INL-15-011.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4 SECTION8211

  12. Microsoft Word - DOE-ID-INL-15-012.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4 SECTION82112

  13. Microsoft Word - DOE-ID-INL-15-014.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R1 SECTION

  14. Microsoft Word - DOE-ID-INL-15-015.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R1 SECTION5

  15. Microsoft Word - DOE-ID-INL-15-016.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R1 SECTION56

  16. Microsoft Word - DOE-ID-INL-15-017.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R1 SECTION567

  17. Microsoft Word - DOE-ID-INL-15-018.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R1

  18. Microsoft Word - DOE-ID-INL-15-019.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R19 SECTION

  19. Microsoft Word - DOE-ID-INL-15-020.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R19 SECTION0

  20. Microsoft Word - DOE-ID-INL-15-021.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R19

  1. Microsoft Word - DOE-ID-INL-15-022.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R192 SECTION

  2. Microsoft Word - DOE-ID-INL-15-023.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R192

  3. Microsoft Word - DOE-ID-INL-15-024.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R1924 SECTION

  4. Microsoft Word - DOE-ID-INL-15-025.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R1924

  5. Microsoft Word - DOE-ID-INL-15-026.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R19246

  6. Microsoft Word - DOE-ID-INL-15-027.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R192467

  7. Microsoft Word - DOE-ID-INL-15-028.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R1924678

  8. Microsoft Word - DOE-ID-INL-15-029.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R19246789

  9. Microsoft Word - DOE-ID-INL-15-030.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R1924678930

  10. Microsoft Word - DOE-ID-INL-15-031.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R19246789301

  11. Microsoft Word - DOE-ID-INL-15-032.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID NEPA4R192467893012

  12. Microsoft Word - DOE-ID-INL-15-034.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID

  13. Microsoft Word - DOE-ID-INL-15-035.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION A.

  14. Microsoft Word - DOE-ID-INL-15-036.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION A.6

  15. Microsoft Word - DOE-ID-INL-15-037.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION A.67

  16. Microsoft Word - DOE-ID-INL-15-038.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION A.678

  17. Microsoft Word - DOE-ID-INL-15-039.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION A.6789

  18. Microsoft Word - DOE-ID-INL-15-040.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION A.67890

  19. Microsoft Word - DOE-ID-INL-15-041.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION A.678901

  20. Microsoft Word - DOE-ID-INL-15-042.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION A.6789012

  1. Microsoft Word - DOE-ID-INL-15-043.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION

  2. Microsoft Word - DOE-ID-INL-15-044.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION4 SECTION

  3. Microsoft Word - DOE-ID-INL-15-045.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION4 SECTION7

  4. Microsoft Word - DOE-ID-INL-15-046.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION4

  5. Microsoft Word - DOE-ID-INL-15-048.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION48 SECTION

  6. Microsoft Word - DOE-ID-INL-15-049.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION48

  7. Microsoft Word - DOE-ID-INL-15-050.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION480

  8. Microsoft Word - DOE-ID-INL-15-051.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION4801

  9. Microsoft Word - DOE-ID-INL-15-052.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION48012

  10. Microsoft Word - DOE-ID-INL-15-053.docx

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5 SECTION4801253

  11. Microsoft Word - DOE-ID-INL-15-054.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID5

  12. Microsoft Word - DOE-ID-INL-15-055.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55 SECTION A.

  13. Microsoft Word - DOE-ID-INL-15-056.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55 SECTION A.6

  14. Microsoft Word - DOE-ID-INL-15-057.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55 SECTION A.67

  15. Microsoft Word - DOE-ID-INL-15-058.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55 SECTION A.678

  16. Microsoft Word - DOE-ID-INL-15-059.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55 SECTION A.6789

  17. Microsoft Word - DOE-ID-INL-15-061.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55 SECTION A.678961

  18. Microsoft Word - DOE-ID-INL-15-062.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55 SECTION

  19. Microsoft Word - DOE-ID-INL-15-063.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55 SECTION3 SECTION

  20. Microsoft Word - DOE-ID-INL-15-064.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55 SECTION3

  1. Microsoft Word - DOE-ID-INL-15-065.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55 SECTION35

  2. Microsoft Word - DOE-ID-INL-15-066.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55 SECTION356

  3. Microsoft Word - DOE-ID-INL-15-067.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55 SECTION3567

  4. Microsoft Word - DOE-ID-INL-15-068.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55 SECTION35678

  5. Microsoft Word - DOE-ID-INL-15-069.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID55

  6. Microsoft Word - DOE-ID-INL-15-070.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID550 SECTION A.

  7. Microsoft Word - DOE-ID-INL-15-071.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID550 SECTION A.1

  8. Microsoft Word - DOE-ID-INL-15-072.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID550 SECTION A.12

  9. Microsoft Word - DOE-ID-INL-15-073.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID550 SECTION

  10. Microsoft Word - DOE-ID-INL-15-074.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID550 SECTION4

  11. Microsoft Word - DOE-ID-INL-15-075.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID550 SECTION475

  12. Microsoft Word - DOE-ID-INL-15-076.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID550 SECTION4756

  13. Microsoft Word - DOE-ID-INL-15-077.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID550 SECTION47567

  14. Microsoft Word - DOE-ID-INL-15-078.docx

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID550 SECTION475678

  15. Microsoft Word - DOE-ID_INL-13-010.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete andGoniometer-based3 SECTION A.DOE0ID550 SECTION4756780

  16. SRS SLUDGE BATCH QUALIFICATION AND PROCESSING; HISTORICAL PERSPECTIVE AND LESSONS LEARNED

    SciTech Connect (OSTI)

    Cercy, M.; Peeler, D.; Stone, M.

    2013-09-25

    This report provides a historical overview and lessons learned associated with the SRS sludge batch (SB) qualification and processing programs. The report covers the framework of the requirements for waste form acceptance, the DWPF Glass Product Control Program (GPCP), waste feed acceptance, examples of how the program complies with the specifications, an overview of the Startup Program, and a summary of continuous improvements and lessons learned. The report includes a bibliography of previous reports and briefings on the topic.

  17. Evaluation of methods of mixing lime in bituminous paving mixtures in batch and drum plants 

    E-Print Network [OSTI]

    Button, Joseph Wade

    1984-01-01

    . Lime was added in the pugmill of the batch plant, on the cold feed belt, and through the fines feeder of the drum mix plant. The asphalt and aggregates used were characterized in the laboratory. Asphalt concrete mixture tests included laboratory... Maria Road 14 3 Laboratory Test Program for All Mixtures 17 Process by which Lime Slurry was Added to the Individual Aggregates on the Cold Feed Belt Overall Average Air Void Content of Laboratory Mixed and Compacted Samples 19 27 Resilient...

  18. Removal of aqueous rinsable flux residues in a batch spray dishwater

    SciTech Connect (OSTI)

    Slanina, J.T.

    1992-02-01

    An alkaline detergent solution used in an industrial dishwasher was evaluated to remove aqueous rinsable flux residues on printed wiring boards (PWBs) after hot air solder leveling and hot oil solder dip and leveling. The dishwasher, a batch cleaning process, was compared to an existing conveyorized aqueous cleaning process. The aqueous soluble flux residues from both soldering processes were removed with a solution of a mild alkaline detergent dissolved in hot deionized (DI) water.

  19. Analysis Of DWPF Sludge Batch 7a (Macrobatch 8) Pour Stream Samples

    SciTech Connect (OSTI)

    Johnson, F. C.; Pareizs, J. M.

    2012-10-24

    The Defense Waste Processing Facility (DWPF) began processing Sludge Batch 7a (SB7a), also referred to as Macrobatch 8 (MB8), in June 2011. SB7a is a blend of the heel of Tank 40 from Sludge Batch 6 (SB6) and the SB7a material that was transferred to Tank 40 from Tank 51. SB7a was processed using Frit 418. During processing of each sludge batch, the DWPF is required to take at least one glass sample to meet the objectives of the Glass Product Control Program (GPCP), which is governed by the DWPF Waste Compliance Plan, and to complete the necessary Production Records so that the final glass product may be disposed of at a Federal Repository. Three pour stream glass samples and two Melter Feed Tank (MFT) slurry samples were collected while processing SB7a. These additional samples were taken during SB7a to understand the impact of antifoam and the melter bubblers on glass redox chemistry. The samples were transferred to the Savannah River National Laboratory (SRNL) where they were analyzed.

  20. IDS120h: Be WINDOW DETAILED CALCULATION, SHIELDING VESSELS, RESULTS FOR DIFFERENT

    E-Print Network [OSTI]

    McDonald, Kirk

    IDS120h: Be WINDOW DETAILED CALCULATION, SHIELDING VESSELS, RESULTS FOR DIFFERENT GLOBAL STEPS with different STEPEM, STEPH global steps, and introducing shielding vessels. >mars1510/MCNP >10-11 MeV NEUTRON Be Window Hg Pool SC8 SC 7 SC 6 SH 2 SH 4 SH 3 #12;IDS120h:SHIELDING VESSELS. RESULTS FOR 0.5 cm THIKNESS

  1. Femtosecond dark-field imaging with an X-ray free electron laser (CXIDB ID 19)

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

    Martin, A. V.

    2012-08-25

    This data was collected as part of the same experiment as the data deposited in [ID16](id-16.html). Experiment details are given in [Loh, N.D. et al.](http://dx.doi.org/10.1038/nature11222)

  2. HEAT TRANSFER THROUGH He II IN A 9.6 m LONG 35 mm ID TUBE

    E-Print Network [OSTI]

    Caspi, S.

    2010-01-01

    He II IN A 9.6 m LONG 35 mm ID TUBE S. Caspi and R.V.He II IN A 9.6 m LONG 35 mm ID TUBE* S. Caspi and R. V.He II IN A 9.6 m LONG 35 mm 10 TUBE S. Caspi and R. V.

  3. Femtosecond dark-field imaging with an X-ray free electron laser (CXIDB ID 19)

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

    Martin, A. V.

    This data was collected as part of the same experiment as the data deposited in [ID16](id-16.html). Experiment details are given in [Loh, N.D. et al.](http://dx.doi.org/10.1038/nature11222)

  4. The visualization of data and the user-interface in the Auto-ID World

    E-Print Network [OSTI]

    Chandrasekhar, Chaitra

    2005-01-01

    This thesis proposes a framework for user interface (UI) design in the Auto-ID world. The thesis includes the examination of issues related to visualizing data to the user from a top-down perspective in the Auto-ID World. ...

  5. Copyright 2002-2010 ARM. All rights reserved. ARM DUI 0204J (ID101213)

    E-Print Network [OSTI]

    Whaley, R. Clint

    Copyright © 2002-2010 ARM. All rights reserved. ARM DUI 0204J (ID101213) RealView ® Compilation Tools Version 4.0 Assembler Guide #12;ii Copyright © 2002-2010 ARM. All rights reserved. ARM DUI 0204J Non-Confidential, ID101213 RealView Compilation Tools Assembler Guide Copyright © 2002-2010 ARM. All

  6. Copyright 2011 ARM. All rights reserved. ARM DEN0013B (ID082411)

    E-Print Network [OSTI]

    Whaley, R. Clint

    Copyright © 2011 ARM. All rights reserved. ARM DEN0013B (ID082411) Cortex TM -A Series Version: 2.0 Programmer's Guide #12;ARM DEN0013B Copyright © 2011 ARM. All rights reserved. ii ID082411 Non-Confidential Cortex-A Series Programmer's Guide Copyright © 2011 ARM. All rights reserved. Release Information

  7. Copyright 2008-2011 ARM. All rights reserved. ARM DDI 0409G (ID072711)

    E-Print Network [OSTI]

    Whaley, R. Clint

    Copyright © 2008-2011 ARM. All rights reserved. ARM DDI 0409G (ID072711) Cortex TM -A9 NEON TM Media Processing Engine Revision: r3p0 Technical Reference Manual #12;ARM DDI 0409G Copyright © 2008-2011 ARM. All rights reserved. ii ID072711 Non-Confidential Cortex-A9 NEON Media Processing Engine

  8. Liberty Alliance Project: Version: 1.0 Liberty ID-WSF Security and Privacy

    E-Print Network [OSTI]

    Landau, Susan

    Liberty Alliance Project: Version: 1.0 Liberty ID-WSF Security and Privacy OverviewVersion: 1-idwsf-security-privacy-overview-v1.0.pdf Liberty Alliance Project 1 #12;Liberty Alliance Project: Version: 1.0 Liberty ID Alliance. Permission is hereby granted to11 use the document solely for the purpose of implementing

  9. damidseq pipeline: an automated pipeline for processing DamID sequencing datasets

    E-Print Network [OSTI]

    Marshall, Owen J.; Brand, Andrea H.

    2015-06-25

    of DamID-seq datasets with normalisation based on read-counts alone can lead to high background and the loss of bound signal. DamID-seq thus presents novel challenges in terms of normalisation and background minimisation. We describe here damidseq_pipeline...

  10. HEAT TRANSFER THROUGH He II IN A 9.6 m LONG 35 mm ID TUBE

    E-Print Network [OSTI]

    Caspi, S.

    2010-01-01

    THROUGH He II IN A 9.6 m LONG 35 mm ID TUBE S. Caspi andTHROUGH He II IN A 9.6 m LONG 35 mm ID TUBE* S. Caspi and R.THROUGH He II IN A 9.6 m LONG 35 mm 10 TUBE S. Caspi and R.

  11. Small Scale Mixing Demonstration Batch Transfer and Sampling Performance of Simulated HLW - 12307

    SciTech Connect (OSTI)

    Jensen, Jesse; Townson, Paul; Vanatta, Matt

    2012-07-01

    The ability to effectively mix, sample, certify, and deliver consistent batches of High Level Waste (HLW) feed from the Hanford Double Shell Tanks (DST) to the Waste treatment Plant (WTP) has been recognized as a significant mission risk with potential to impact mission length and the quantity of HLW glass produced. At the end of 2009 DOE's Tank Operations Contractor, Washington River Protection Solutions (WRPS), awarded a contract to EnergySolutions to design, fabricate and operate a demonstration platform called the Small Scale Mixing Demonstration (SSMD) to establish pre-transfer sampling capacity, and batch transfer performance data at two different scales. This data will be used to examine the baseline capacity for a tank mixed via rotational jet mixers to transfer consistent or bounding batches, and provide scale up information to predict full scale operational performance. This information will then in turn be used to define the baseline capacity of such a system to transfer and sample batches sent to WTP. The Small Scale Mixing Demonstration (SSMD) platform consists of 43'' and 120'' diameter clear acrylic test vessels, each equipped with two scaled jet mixer pump assemblies, and all supporting vessels, controls, services, and simulant make up facilities. All tank internals have been modeled including the air lift circulators (ALCs), the steam heating coil, and the radius between the wall and floor. The test vessels are set up to simulate the transfer of HLW out of a mixed tank, and collect a pre-transfer sample in a manner similar to the proposed baseline configuration. The collected material is submitted to an NQA-1 laboratory for chemical analysis. Previous work has been done to assess tank mixing performance at both scales. This work involved a combination of unique instruments to understand the three dimensional distribution of solids using a combination of Coriolis meter measurements, in situ chord length distribution measurements, and electro-resistive tomography. This current work utilized the same instruments to monitor simulated waste transfers. This paper will discuss some of the scaling compromises when it came to the scaled sampling system design, handling of large quantities of material for sampling, and present data for the discuss of likely behavior of the full scale DST based on scaling correlations using a scale ratio exponent (SRE) from 0.25 to 0.45 and the behavior observed in the SSMD platform. This does not establish a scaling factor for DST mixing using paired jet mixers but is an attempt to envelope the likely performance ranges in terms of certification sampling bias, certification sample root-mean-square-deviation, and bath to batch relative standard deviation. (authors)

  12. STATISTICAL EVALUATION OF SMALL SCALE MIXING DEMONSTRATION SAMPLING AND BATCH TRANSFER PERFORMANCE - 12093

    SciTech Connect (OSTI)

    GREER DA; THIEN MG

    2012-01-12

    The ability to effectively mix, sample, certify, and deliver consistent batches of High Level Waste (HLW) feed from the Hanford Double Shell Tanks (DST) to the Waste Treatment and Immobilization Plant (WTP) presents a significant mission risk with potential to impact mission length and the quantity of HLW glass produced. DOE's Tank Operations Contractor, Washington River Protection Solutions (WRPS) has previously presented the results of mixing performance in two different sizes of small scale DSTs to support scale up estimates of full scale DST mixing performance. Currently, sufficient sampling of DSTs is one of the largest programmatic risks that could prevent timely delivery of high level waste to the WTP. WRPS has performed small scale mixing and sampling demonstrations to study the ability to sufficiently sample the tanks. The statistical evaluation of the demonstration results which lead to the conclusion that the two scales of small DST are behaving similarly and that full scale performance is predictable will be presented. This work is essential to reduce the risk of requiring a new dedicated feed sampling facility and will guide future optimization work to ensure the waste feed delivery mission will be accomplished successfully. This paper will focus on the analytical data collected from mixing, sampling, and batch transfer testing from the small scale mixing demonstration tanks and how those data are being interpreted to begin to understand the relationship between samples taken prior to transfer and samples from the subsequent batches transferred. An overview of the types of data collected and examples of typical raw data will be provided. The paper will then discuss the processing and manipulation of the data which is necessary to begin evaluating sampling and batch transfer performance. This discussion will also include the evaluation of the analytical measurement capability with regard to the simulant material used in the demonstration tests. The paper will conclude with a discussion of the analysis results illustrating the relationship between the pre-transfer samples and the batch transfers, which support the recommendation regarding the need for a dedicated feed sampling facility.

  13. Batch Jobs

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits & Inspections AuditsBarbara McClintock andBasics BasicsBasil Lalli

  14. Batch Jobs

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits & Inspections AuditsBarbara McClintock andBasics BasicsBasil

  15. The metalloid arsenite induces nuclear export of Id3 possibly via binding to the N-terminal cysteine residues

    SciTech Connect (OSTI)

    Kurooka, Hisanori, E-mail: hkurooka@u-fukui.ac.jp [Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui (Japan) [Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui (Japan); Research and Education Program for Life Science, University of Fukui, Fukui (Japan); Sugai, Manabu [Department of Experimental Therapeutics, Translational Research Center, Kyoto University Hospital, Kyoto (Japan)] [Department of Experimental Therapeutics, Translational Research Center, Kyoto University Hospital, Kyoto (Japan); Mori, Kentaro [Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui (Japan)] [Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui (Japan); Yokota, Yoshifumi, E-mail: yokota@u-fukui.ac.jp [Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui (Japan) [Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui (Japan); Research and Education Program for Life Science, University of Fukui, Fukui (Japan)

    2013-04-19

    Highlights: •Sodium arsenite induces cytoplasmic accumulation of Id3. •Arsenite binds to closely spaced N-terminal cysteine residues of Id3. •N-terminal cysteines are essential for arsenite-induced nuclear export of Id3. •Nuclear export of Id3 counteracts its transcriptional repression activity. -- Abstract: Ids are versatile transcriptional repressors that regulate cell proliferation and differentiation, and appropriate subcellular localization of the Id proteins is important for their functions. We previously identified distinct functional nuclear export signals (NESs) in Id1 and Id2, but no active NES has been reported in Id3. In this study, we found that treatment with the stress-inducing metalloid arsenite led to the accumulation of GFP-tagged Id3 in the cytoplasm. Cytoplasmic accumulation was impaired by a mutation in the Id3 NES-like sequence resembling the Id1 NES, located at the end of the HLH domain. It was also blocked by co-treatment with the CRM1-specific nuclear export inhibitor leptomycin B (LMB), but not with the inhibitors for mitogen-activated protein kinases (MAPKs). Importantly, we showed that the closely spaced N-terminal cysteine residues of Id3 interacted with the arsenic derivative phenylarsine oxide (PAO) and were essential for the arsenite-induced cytoplasmic accumulation, suggesting that arsenite induces the CRM1-dependent nuclear export of Id3 via binding to the N-terminal cysteines. Finally, we demonstrated that Id3 significantly repressed arsenite-stimulated transcription of the immediate-early gene Egr-1 and that this repression activity was inversely correlated with the arsenite-induced nuclear export. Our results imply that Id3 may be involved in the biological action of arsenite.

  16. Id-1 gene and gene products as therapeutic targets for treatment of breast cancer and other types of carcinoma

    DOE Patents [OSTI]

    Desprez, Pierre-Yves; Campisi, Judith

    2014-08-19

    A method for treatment of breast cancer and other types of cancer. The method comprises targeting and modulating Id-1 gene expression, if any, for the Id-1 gene, or gene products in breast or other epithelial cancers in a patient by delivering products that modulate Id-1 gene expression. When expressed, Id-1 gene is a prognostic indicator that cancer cells are invasive and metastatic.

  17. Student Administration System Q&A: Logging into the SA System with NetID Updated 08/15/2013

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Student Administration System Q&A: Logging into the SA System with NetID Updated 08/15/2013 Q&A: Logging into the Student Administration (SA) System with Your NetID (Effective 08/09/2013) Q: What-numeric NetID and NetID password. Q: Who is not affected by this change? A: Administrative users who currently

  18. SLUDGE BATCH 7B QUALIFICATION ACTIVITIES WITH SRS TANK FARM SLUDGE

    SciTech Connect (OSTI)

    Pareizs, J.; Click, D.; Lambert, D.; Reboul, S.

    2011-11-16

    Waste Solidification Engineering (WSE) has requested that characterization and a radioactive demonstration of the next batch of sludge slurry - Sludge Batch 7b (SB7b) - be completed in the Shielded Cells Facility of the Savannah River National Laboratory (SRNL) via a Technical Task Request (TTR). This characterization and demonstration, or sludge batch qualification process, is required prior to transfer of the sludge from Tank 51 to the Defense Waste Processing Facility (DWPF) feed tank (Tank 40). The current WSE practice is to prepare sludge batches in Tank 51 by transferring sludge from other tanks. Discharges of nuclear materials from H Canyon are often added to Tank 51 during sludge batch preparation. The sludge is washed and transferred to Tank 40, the current DWPF feed tank. Prior to transfer of Tank 51 to Tank 40, SRNL typically simulates the Tank Farm and DWPF processes with a Tank 51 sample (referred to as the qualification sample). With the tight schedule constraints for SB7b and the potential need for caustic addition to allow for an acceptable glass processing window, the qualification for SB7b was approached differently than past batches. For SB7b, SRNL prepared a Tank 51 and a Tank 40 sample for qualification. SRNL did not receive the qualification sample from Tank 51 nor did it simulate all of the Tank Farm washing and decanting operations. Instead, SRNL prepared a Tank 51 SB7b sample from samples of Tank 7 and Tank 51, along with a wash solution to adjust the supernatant composition to the final SB7b Tank 51 Tank Farm projections. SRNL then prepared a sample to represent SB7b in Tank 40 by combining portions of the SRNL-prepared Tank 51 SB7b sample and a Tank 40 Sludge Batch 7a (SB7a) sample. The blended sample was 71% Tank 40 (SB7a) and 29% Tank 7/Tank 51 on an insoluble solids basis. This sample is referred to as the SB7b Qualification Sample. The blend represented the highest projected Tank 40 heel (as of May 25, 2011), and thus, the highest projected noble metals content for SB7b. Characterization was performed on the Tank 51 SB7b samples and SRNL performed DWPF simulations using the Tank 40 SB7b material. This report documents: (1) The preparation and characterization of the Tank 51 SB7b and Tank 40 SB7b samples. (2) The performance of a DWPF Chemical Process Cell (CPC) simulation using the SB7b Tank 40 sample. The simulation included a Sludge Receipt and Adjustment Tank (SRAT) cycle, where acid was added to the sludge to destroy nitrite and reduce mercury, and a Slurry Mix Evaporator (SME) cycle, where glass frit was added to the sludge in preparation for vitrification. The SME cycle also included replication of five canister decontamination additions and concentrations. Processing parameters were based on work with a nonradioactive simulant. (3) Vitrification of a portion of the SME product and characterization and durability testing (as measured by the Product Consistency Test (PCT)) of the resulting glass. (4) Rheology measurements of the SRAT receipt, SRAT product, and SME product. This program was controlled by a Task Technical and Quality Assurance Plan (TTQAP), and analyses were guided by an Analytical Study Plan. This work is Technical Baseline Research and Development (R&D) for the DWPF. It should be noted that much of the data in this document has been published in interoffice memoranda. The intent of this technical report is bring all of the SB7b related data together in a single permanent record and to discuss the overall aspects of SB7b processing.

  19. Evaluation of ISDP Batch 2 Qualification Compliance to 512-S, DWPF, Tank Farm, and Saltstone Waste Acceptance Criteria

    SciTech Connect (OSTI)

    Shafer, A.

    2010-05-05

    The purpose of this report is to document the acceptability of the second macrobatch (Salt Batch 2) of Tank 49H waste to H Tank Farm, DWPF, and Saltstone for operation of the Interim Salt Disposition Project (ISDP). Tank 49 feed meets the Waste Acceptance Criteria (WAC) requirements specified by References 11, 12, and 13. Salt Batch 2 material is qualified and ready to be processed through ARP/MCU to the final disposal facilities.

  20. STUDY II: m1507 vs. m1510 IDS120f: m1507/MCNP vs. M1510/MCNP vs. FLUKA

    E-Print Network [OSTI]

    McDonald, Kirk

    (m1510-m1507)/m1510 % Be Wind.: BUT WHY???? 4 #12;Power deposition for IDS120f: mars1507/MCNP vs) Power Deposited: SC#3: 0.26/0.28/0.26 kW, SC#5: 0.19/0.17/0.066 kW SC#1-19: 0.97/0.99/0.56 kW Peak: SC#3: 0.03/0.018/0.05 mW/gr 8 #12;IDS120f and IDS120g geometries. IDS120f IDS120g: water cooling rings

  1. Underground Storage Tank Integrated Demonstration (UST-ID). Technology summary

    SciTech Connect (OSTI)

    Not Available

    1994-02-01

    The DOE complex currently has 332 underground storage tanks (USTs) that have been used to process and store radioactive and chemical mixed waste generated from weapon materials production. Very little of the over 100 million gallons of high-level and low-level radioactive liquid waste has been treated and disposed of in final form. Two waste storage tank design types are prevalent across the DOE complex: single-shell wall and double-shell wall designs. They are made of stainless steel, concrete, and concrete with carbon steel liners, and their capacities vary from 5000 gallons (19 m{sup 3}) to 10{sup 6} gallons (3785 m{sup 3}). The tanks have an overburden layer of soil ranging from a few feet to tens of feet. Responding to the need for remediation of tank waste, driven by Federal Facility Compliance Agreements (FFCAs) at all participating sites, the Underground Storage Tank Integrated Demonstration (UST-ID) Program was created by the US DOE Office of Technology Development in February 1991. Its mission is to focus the development, testing, and evaluation of remediation technologies within a system architecture to characterize, retrieve, treat to concentrate, and dispose of radioactive waste stored in USTs at DOE facilities. The ultimate goal is to provide safe and cost-effective solutions that are acceptable to the public and the regulators. The UST-ID has focused on five DOE locations: the Hanford Site, which is the host site, in Richland, Washington; the Fernald Site in Fernald, Ohio; the Idaho National Engineering Laboratory near Idaho Falls, Idaho; the Oak Ridge Reservation in Oak Ridge, Tennessee, and the Savannah River Site in Savannah River, South Carolina.

  2. A short Id2 protein fragment containing the nuclear export signal forms amyloid-like fibrils

    SciTech Connect (OSTI)

    Colombo, Noemi [Fakultaet fuer Chemie und Pharmazie, Universitaet Regensburg, Universitaetsstrasse 31, 93053 Regensburg (Germany); Schroeder, Josef [Institut fuer Pathologie, Zentrales EM-Labor, Fakultaet fuer Medizin, Universitaet Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg (Germany); Cabrele, Chiara [Fakultaet fuer Chemie und Pharmazie, Universitaet Regensburg, Universitaetsstrasse 31, 93053 Regensburg (Germany)]. E-mail: chiara.cabrele@chemie.uni-regensburg.de

    2006-07-21

    The negative regulator of DNA-binding/cell-differentiation Id2 is a small protein containing a central helix-loop-helix (HLH) motif and a C-terminal nuclear export signal (NES). Whereas the former is essential for Id2 dimerization and nuclear localization, the latter is responsible for the transport of Id2 from the nucleus to the cytoplasm. Whereas the isolated Id2 HLH motif is highly helical, large C-terminal Id2 fragments including the NES sequence are either unordered or aggregation-prone. To study the conformational properties of the isolated NES region, we synthesized the Id2 segment 103-124. The latter was insoluble in water and only temporarily soluble in water/alcohol mixtures, where it formed quickly precipitating {beta}-sheets. Introduction of a positively charged N-terminal tail prevented aggressive precipitation and led to aggregates consisting of long fibrils that bound thioflavin T. These results show an interesting structural aspect of the Id2 NES region, which might be of significance for both protein folding and function.

  3. Batch methods for enriching trace impurities in hydrogen gas for their further analysis

    DOE Patents [OSTI]

    Ahmed, Shabbir; Lee, Sheldon H.D.; Kumar, Romesh; Papdias, Dionissios D.

    2014-07-15

    Provided herein are batch methods and devices for enriching trace quantities of impurities in gaseous mixtures, such as hydrogen fuel. The methods and devices rely on concentrating impurities using hydrogen transport membranes wherein the time period for concentrating the sample is calculated on the basis of optimized membrane characteristics, comprising its thickness and permeance, with optimization of temperature, and wherein the enrichment of trace impurities is proportional to the pressure ratio P.sub.hi/P.sub.lo and the volume ratio V.sub.1/V.sub.2, with following detection of the impurities using commonly-available detection methods.

  4. Batch polymerization of styrene and isoprene by n-butyl lithium initiator 

    E-Print Network [OSTI]

    Hasan, Sayeed

    1970-01-01

    BATCN ?OLYMERIZATION OF STYRENE AND ISO?RENE BY n-BUTYL LITHIUM INITIATOR A Thesis SAYEED IIASAV Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the d pre of IJASTER OF SCIFNCE... ler) CP3 MV gse P . January 1970 9&ZS&8 ABSTRACT Batch Polymerization of Styrene and Isoprene By n-Butyl Lithium Initiator. (January 1970) Sayeed 1Iasan, B. Sc. , East Pakistan University of Engineering and Technology, Dacca Directed by: Dr...

  5. Selective batch crushing in the coal-preparation shop at OAO NTMK

    SciTech Connect (OSTI)

    N.A. Berkutov; Yu.V. Stepanov; P.V. Shtark; L.A. Makhortova; N.K. Popova; D.A. Koshkarov; N.V. Tsarev [OAO Nizhnetagil'skii Metallurgicheskii Kombinat (NTMK)(Russian Federation)

    2007-05-15

    In September 2004, after reconstruction at OAO Nizhnetagil'skii Metallurgicheskii Kombinat (NTMK), blast furnace 6 went into operation for the production of vanadium from hot metal. At the startup of furnace 6, besides optimising its composition; it was decided to restore selective crushing of the coal batch using pneumatic and mechanical separation in the third unit of the coal preparation shop. Additional increase in the mechanical strength of coke by 1.5-2.0% was predicted with a 0.5-1.0% decrease in wear.

  6. Determination Of Reportable Radionuclides For DWPF Sludge Batch 7B (Macrobatch 9)

    SciTech Connect (OSTI)

    Crawford, C. L.; Diprete, D. P.

    2012-12-17

    The DWPF is receiving radioactive sludge slurry from HLW Tank 40. The radioactive sludge slurry in Tank 40 is a blend of the heel from Sludge Batch 7a (SB7a) and Sludge Batch 7b (SB7b) that was transferred to Tank 40 from Tank 51. The blend of sludge in Tank 40 is also referred to as Macrobatch 9 (MB9). This report develops the list of reportable radionuclides and associated activities as a function of time. Twenty-seven radionuclides have been identified as reportable for DWPF SB7b. Each of these radionuclides has a half-life greater than ten years and contributes more than 0.01% of the radioactivity on a Curie basis at some point from production through the 1100 year period between 2015 and 3115. For SB7b, all of the radionuclides in the Design Basis glass are reportable except for three radionuclides: Pd-107, Cs-135, and Th-230. At no time during the 1100- year period between 2015 and 3115 did any of these three radionuclides contribute to more than 0.01% of the radioactivity on a Curie basis. The radionuclide measurements made for SB7b are the most extensive conducted to date. Some method development/refinement occurred during the conduct of these measurements, leading to lower detection limits and more accurate measurement of some isotopes than was previously possible.

  7. Kinetic model for quartz and spinel dissolution during melting of high-level-waste glass batch

    SciTech Connect (OSTI)

    Pokorny, Richard; Rice, Jarrett A.; Crum, Jarrod V.; Schweiger, Michael J.; Hrma, Pavel R.

    2013-07-24

    The dissolution of quartz particles and the growth and dissolution of crystalline phases during the conversion of batch to glass potentially affects both the glass melting process and product quality. Crystals of spinel exiting the cold cap to molten glass below can be troublesome during the vitrification of iron-containing high-level wastes. To estimate the distribution of quartz and spinel fractions within the cold cap, we used kinetic models that relate fractions of these phases to temperature and heating rate. Fitting the model equations to data showed that the heating rate, apart from affecting quartz and spinel behavior directly, also affects them indirectly via concurrent processes, such as the formation and motion of bubbles. Because of these indirect effects, it was necessary to allow one kinetic parameter (the pre-exponential factor) to vary with the heating rate. The resulting kinetic equations are sufficiently simple for the detailed modeling of batch-to-glass conversion as it occurs in glass melters. The estimated fractions and sizes of quartz and spinel particles as they leave the cold cap, determined in this study, will provide the source terms needed for modeling the behavior of these solid particles within the flow of molten glass in the melter.

  8. INTERPRETATION OF AT-LINE SPECTRA FROM AFS-2 BATCH #3 FERROUS SULFAMATE TREATMENT

    SciTech Connect (OSTI)

    Kyser, E.; O'Rourke, P.

    2013-12-10

    Spectra from the “at-line” spectrometer were obtained during the ferrous sulfamate (FS) valence adjustment step of AFS-2 Batch #3 on 9/18/2013. These spectra were analyzed by mathematical principal component regression (PCR) techniques to evaluate the effectiveness of this treatment. Despite the complications from Pu(IV), we conclude that all Pu(VI) was consumed during the FS treatment, and that by the end of the treatment, about 85% was as Pu(IV) and about 15% was as Pu(III). Due to the concerns about the “odd” shape of the Pu(IV) peak and the possibility of this behavior being observed in the future, a follow-up sample was sent to SRNL to investigate this further. Analysis of this sample confirmed the previous results and concluded that it “odd” shape was due to an intermediate acid concentration. Since the spectral evidence shows complete reduction of Pu(VI) we conclude that it is appropriate to proceed with processing of this the batch of feed solution for HB-Line including the complexation of the fluoride with aluminum nitrate.

  9. Bachelor of Arts, Theatre Arts, Design Option, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Directing 3 THEA 351 Elements of Scenic Design THEA 352 Costume Design THEA 362 Stage Lighting Design 3 3 3Bachelor of Arts, Theatre Arts, Design Option, 2013-2014 Name ID# Date General Degree Requirements

  10. California Registered Domestic Partner Supplemental Information 01/2013 Name: ___________________________________________________ ID: __________________________

    E-Print Network [OSTI]

    Ravikumar, B.

    California Registered Domestic Partner Supplemental Information 01/2013 Name: ___________________________________________________ ID: __________________________ California Registered Domestic Partner Supplemental Information Avenue Tel: (707) 664-2389 Rohnert Park, CA 94928 Fax: (707) 664-4242 Office Use Only: Supplemental

  11. Product traceability in the pharmaceutical supply chain : an analysis of the auto-ID approach

    E-Print Network [OSTI]

    Bellman, Attilio, 1967-

    2003-01-01

    This thesis analyzes how the Auto-ID technology and information infrastructure will change the management and distribution of pharmaceutical products within the health care industry by enabling item level product traceability ...

  12. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 8)

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

    Nelson, Johanna

    This is the fifth of five exposures of the same sample at different tilts. This one is at -30 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  13. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 4)

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

    Nelson, Johanna

    This is the first of five exposures of the same sample at different tilts. This one is at +0 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  14. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 5)

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

    Nelson, Johanna

    This is the second of five exposures of the same sample at different tilts. This one is at +15 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  15. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 6)

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

    Nelson, Johanna

    This is the third of five exposures of the same sample at different tilts. This one is at +30 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  16. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 7)

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

    Nelson, Johanna

    This is the fourth of five exposures of the same sample at different tilts. This one is at -15 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  17. Journal of ASTM International, June 2005, Vol. 2, No. 6 Paper ID JAI12441

    E-Print Network [OSTI]

    Motta, Arthur T.

    Journal of ASTM International, June 2005, Vol. 2, No. 6 Paper ID JAI12441 Available online at www, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959. #12;JOURNAL OF ASTM

  18. Verification Of The Defense Waste Processing Facility's (DWPF) Process Digestion Methods For The Sludge Batch 8 Qualification Sample

    SciTech Connect (OSTI)

    Click, D. R.; Edwards, T. B.; Wiedenman, B. J.; Brown, L. W.

    2013-03-18

    This report contains the results and comparison of data generated from inductively coupled plasma – atomic emission spectroscopy (ICP-AES) analysis of Aqua Regia (AR), Sodium Peroxide/Sodium Hydroxide Fusion Dissolution (PF) and Cold Chem (CC) method digestions and Cold Vapor Atomic Absorption analysis of Hg digestions from the DWPF Hg digestion method of Sludge Batch 8 (SB8) Sludge Receipt and Adjustment Tank (SRAT) Receipt and SB8 SRAT Product samples. The SB8 SRAT Receipt and SB8 SRAT Product samples were prepared in the SRNL Shielded Cells, and the SRAT Receipt material is representative of the sludge that constitutes the SB8 Batch or qualification composition. This is the sludge in Tank 51 that is to be transferred into Tank 40, which will contain the heel of Sludge Batch 7b (SB7b), to form the SB8 Blend composition.

  19. ANALYSIS OF DWPF SLUDGE BATCH 7A (MACROBATCH 8) POUR STREAM SAMPLES

    SciTech Connect (OSTI)

    Johnson, F.

    2012-05-01

    The Defense Waste Processing Facility (DWPF) began processing Sludge Batch 7a (SB7a), also referred to as Macrobatch 8 (MB8), in June 2011. SB7a is a blend of the heel of Tank 40 from Sludge Batch 6 (SB6) and the SB7a material that was transferred to Tank 40 from Tank 51. SB7a was processed using Frit 418. During processing of each sludge batch, the DWPF is required to take at least one glass sample to meet the objectives of the Glass Product Control Program (GPCP), which is governed by the DWPF Waste Compliance Plan, and to complete the necessary Production Records so that the final glass product may be disposed of at a Federal Repository. Three pour stream glass samples and two Melter Feed Tank (MFT) slurry samples were collected while processing SB7a. These additional samples were taken during SB7a to understand the impact of antifoam and the melter bubblers on glass redox chemistry. The samples were transferred to the Savannah River National Laboratory (SRNL) where they were analyzed. The following conclusions were drawn from the analytical results provided in this report: (1) The sum of oxides for the official SB7a pour stream glass is within the Product Composition Control System (PCCS) limits (95-105 wt%). (2) The average calculated Waste Dilution Factor (WDF) for SB7a is 2.3. In general, the measured radionuclide content of the official SB7a pour stream glass is in good agreement with the calculated values from the Tank 40 dried sludge results from the SB7a Waste Acceptance Program Specification (WAPS) sample. (3) As in previous pour stream samples, ruthenium and rhodium inclusions were detected by Scanning Electron Microscopy-Electron Dispersive Spectroscopy (SEM-EDS) in the official SB7a pour stream sample. (4) The Product Consistency Test (PCT) results indicate that the official SB7a pour stream glass meets the waste acceptance criteria for durability with a normalized boron release of 0.64 g/L, which is an order of magnitude less than the Environmental Assessment (EA) glass. (5) The measured density of the SB7a pour stream glass was 2.7 g/cm{sup 3}. (6) The Fe{sup 2+}/{Sigma}Fe ratios of the SB7a pour stream samples were in the range of 0.04-0.13, while the MFT sample glasses prepared by SRNL were in the range of 0.02-0.04.

  20. ANALYSIS OF DWPF SLUDGE BATCH 6 (MACROBATCH 7) POUR STREAM GLASS SAMPLES

    SciTech Connect (OSTI)

    Johnson, F.

    2012-01-20

    The Defense Waste Processing Facility (DWPF) began processing Sludge Batch 6 (SB6), also referred to as Macrobatch 7 (MB7), in June 2010. SB6 is a blend of the heel of Tank 40 from Sludge Batch 5 (SB5), H-Canyon Np transfers and SB6 that was transferred to Tank 40 from Tank 51.1 SB6 was processed using Frit 418. Sludge is received into the DWPF Chemical Processing Cell (CPC) and is processed through the Sludge Receipt and Adjustment Tank (SRAT) and Slurry Mix Evaporator Tank (SME). The treated sludge slurry is then transferred to the Melter Feed Tank (MFT) and fed to the melter. During processing of each sludge batch, the DWPF is required to take at least one glass sample to meet the objectives of the Glass Product Control Program (GPCP) and to complete the necessary Production Records so that the final glass product may be disposed of at a Federal Repository. The DWPF requested various analyses of radioactive glass samples obtained from the melter pour stream during processing of SB6 as well as reduction/oxidation (REDOX) analysis of MFT samples to determine the impact of Argon bubbling. Sample analysis followed the Task Technical and Quality Assurance Plan (TTQAP) and an Analytical Study Plan (ASP). Four Pour Stream (PS) glass samples and two MFT slurry samples were delivered to the Savannah River National Laboratory (SRNL) from the DWPF. Table 1-1 lists the sample information for each pour stream glass sample. SB6 PS3 (S03472) was selected as the official pour stream sample for SB6 and full analysis was requested. This report details the visual observations of the as-received SB6 PS No.3 glass sample as well as results for the chemical composition, Product Consistency Test (PCT), radionuclide content, noble metals, and glass density. REDOX results will be provided for all four pour stream samples and vitrified samples of MFT-558 and MFT-568A. Where appropriate, data from other pour stream samples will be provided.

  1. Analysis Of The Sludge Batch 7b (Macrobatch 9) DWPF Pour Stream Glass Sample

    SciTech Connect (OSTI)

    Johnson, F. C.; Crawford, C. L.; Pareizs, J. M.

    2013-11-18

    The Defense Waste Processing Facility (DWPF) began processing Sludge Batch 7b (SB7b), also referred to as Macrobatch 9 (MB9), in January 2012. SB7b is a blend of the heel of Tank 40 from Sludge Batch 7a (SB7a) and the SB7b material that was transferred to Tank 40 from Tank 51. SB7b was processed using Frit 418. During processing of each sludge batch, the DWPF is required to take at least one glass sample to meet the objectives of the Glass Product Control Program (GPCP), which is governed by the DWPF Waste Form Compliance Plan, and to complete the necessary Production Records so that the final glass product may be disposed of at a Federal Repository. Two pour stream glass samples were collected while processing SB7b. The samples were transferred to the Savannah River National Laboratory (SRNL) where one was analyzed and the other was archived. The following conclusions were drawn from the analytical results provided in this report: The sum of oxides for the official SB7b pour stream glass is within the Product Composition Control System (PCCS) limits (95-105 wt%); The average calculated Waste Dilution Factor (WDF) for SB7b is 2.3. In general, the measured radionuclide content of the official SB7b pour stream glass is in good agreement with the calculated values from the Tank 40 dried sludge results from the SB7b Waste Acceptance Program Specification (WAPS) sample; As in previous pour stream samples, ruthenium and rhodium inclusions were detected by Scanning Electron Microscopy-Electron Dispersive Spectroscopy (SEM-EDS) in the SB7b pour stream sample; The Product Consistency Test (PCT) results indicate that the official SB7b pour stream glass meets the waste acceptance criteria for durability with a normalized boron release of 0.8 g/L, which is an order of magnitude less than the Environmental Assessment (EA) glass; The measured density of the SB7b pour stream glass was 2.70 g/cm{sup 3}; The Fe{sup 2+}/?Fe ratio of the SB7b pour stream samples was 0.07.

  2. An experimental system for the n-butyl-lithium initiated polymerization of styrene in a multi-sampled batch reactor 

    E-Print Network [OSTI]

    Cox, James Harvey

    1974-01-01

    AN EXPERIMENTAL SYSTEM FOR THE n-BUTYLLITHIUM INITIATED POLYMERIZATION OF STYRENE IN A MULTI-SAMPLED BATCH REACTOR A Thesis by JAMES HARVEY COX, JR. Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirement for the degree of MASTER OF SCIENCE May 1974 Ma]or Subject: Chemical Engineering AN EXPERIMENTAL SYSTEM FOR THE n-BUTYLLITHIUM INITIATED POLYMERIZATION OF STYRENE IN A MULTI-SAMPLED BATCH REACTOR A Thesis by JAMES HARVEY COX, JR. Approved...

  3. Analysis of tank 23H samples in support of salt batch planning

    SciTech Connect (OSTI)

    Hay, M. S.; Coleman, C. J.; Diprete, D. P.

    2015-08-14

    Savannah River Remediation obtained three samples from different heights within Tank 23H. The samples were analyzed by Savannah River National Laboratory to support salt batch planning. The results from the analysis indicate the top two samples from the tank appear similar in composition. The lowest sample from the tank contained significantly more solids and a more concentrated salt solution. The filtered supernate from the bottom sample showed ~60% lower Sr-90 and Pu-238 concentrations than the decanted (unfiltered) supernate results which may indicate the presence of some small amount of entrained solid particles in the decanted sample. The mercury concentrations measured in the filtered supernate were fairly low for all three samples ranging from 11.2 to 42.3 mg/L.

  4. Numerical model for the vacuum pyrolysis of scrap tires in batch reactors

    SciTech Connect (OSTI)

    Yang, J.; Tanguy, P.A.; Roy, C.

    1995-06-01

    A quantitative model for scrap tire pyrolysis in a batch scale reactor developed comprises the following basic phenomena: conduction inside tire particles; conduction, convection, and radiation between the feedstock particles or between the fluids and the particles; tire pyrolysis reaction; exothermicity and endothermicity caused by tire decomposition and volatilization; and the variation of the composition and the thermal properties of tire particles. This model was used to predict the transient temperature and density distributions in the bed of particles, the volatile product evolution rate, the mass change, the energy consumption during the pyrolysis process, and the pressure history in a tire pyrolysis reactor with a load of 1 kg. The model predictions agree well with independent experimental data.

  5. DWPF coupled feed flowsheet material balance with batch one sludge and copper nitrate catalyst

    SciTech Connect (OSTI)

    Choi, A.S.

    1993-09-28

    The SRTC has formally transmitted a recommendation to DWPF to replace copper formate with copper nitrate as the catalyst form during precipitate hydrolysis [1]. The SRTC was subsequently requested to formally document the technical bases for the recommendation. A memorandum was issued on August 23, 1993 detailing the activities (and responsible individuals) necessary to address the impact of this change in catalyst form on process compatibility, safety, processibility environmental impact and product glass quality [2]. One of the activities identified was the preparation of a material balance in which copper nitrate is substituted for copper formate and the identification of key comparisons between this material balance and the current Batch 1 sludge -- Late Wash material balance [3].

  6. AUTOMATED BATCH CHARACTERIZATION OF ICF SHELLS WITH VISION-ENABLED OPTICAL MICROSCOPE SYSTEM

    SciTech Connect (OSTI)

    HUANG,H; STEPHENS,R.B; HILL,D.W; LYON,C; NIKROO,A; STEINMAN,D.A

    2003-06-01

    OAK-B135 Inertial Confinement Fusion (ICF) shells are mesoscale objects with nano-scale dimensional and nano-surface finish requirements. Currently, the shell dimensions are measured by white-light interferometry and an image analysis method. These two methods complement each other and give a rather complete data set on a single shell. The process is, however, labor intensive. They have developed an automation routine to fully characterize a shell in one shot and perform unattended batch measurements. The method is useful to the ICF program both for production screening and for full characterization. It also has potential for Inertial Fusion Energy (IFE) power plant where half a million shells need to be processed daily.

  7. IDS120h GEOMETRY WITH MODIFIED Hg POOL VESSEL SIMULATIONS FOR 60% W + 40% He SHIELDING (P12 'POINT')

    E-Print Network [OSTI]

    McDonald, Kirk

    IDS120h GEOMETRY WITH MODIFIED Hg POOL VESSEL SIMULATIONS FOR 60% W + 40% He SHIELDING (P12 'POINT (12/27/2011) 1 #12;IDS120hm: (m IS FOR) modified Hg pool vessel IN IDS120h. # 5E5 SIMULATIONS AND SHIFTED Be WIDOW FROM 600 cm (0.6 cm THICK) TO 300 cm (1 cm THICK). MODIFIED Hg POOL EXTENTS FROM 86 cm

  8. JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 10, NO. 1, MARCH 2001 25 Batch Transfer of LIGA Microstructures by Selective

    E-Print Network [OSTI]

    Lin, Liwei

    Microstructures by Selective Electroplating and Bonding Li-Wei Pan and Liwei Lin Abstract--A flip-chip, batch demonstrated by selective electroplating and bonding. Single layer LIGA microstructures with thickness of 200 m of bonding via electroplating. After the selective bonding process, the originally fixed microstructures

  9. A mathematical model for batch and continuous thickening of flocculated suspensions in vessels with varying cross-section

    E-Print Network [OSTI]

    Karlsen, Kenneth Hvistendahl

    A mathematical model for batch and continuous thickening of flocculated suspensions in vessels of continuous thickening of flocculated suspensions in an ideal cylindrical thickener is extended to vessels having varying cross-section, including divergent or convergent conical vessels. The purpose

  10. Three-Dimensional Flow and Thermal Structures in Glass Melting Furnaces. Part II: Effect of Batch and Bubbles.

    E-Print Network [OSTI]

    Pilon, Laurent

    Three-Dimensional Flow and Thermal Structures in Glass Melting Furnaces. Part II: Effect of Batch and thermal structure in glass melting furnaces with a throat. The effects of the following parameters This is a second part of a study concerned with the three-dimensional natural circulation in glass melting furnaces

  11. 1. Batch reaction experiment Cu, Ni and Zn show increased concentrations with the addition of CO2,

    E-Print Network [OSTI]

    capacity by pressure relief, or from CO2-Enhanced Oil Recovery. Currently, produced waters from oil and gas sandstone shows that total concen- trations of the eight metals of interest are low ( 30 g/g), with leached%) are also low. Figure 2. Batch experiment metal concentrations through time for Captain, Cormorant

  12. VERIFICATION OF THE DEFENSE WASTE PROCESSING FACILITY'S (DWPF) PROCESS DIGESTION METHOD FOR THE SLUDGE BATCH 7A QUALIFICATION SAMPLE

    SciTech Connect (OSTI)

    Click, D.; Edwards, T.; Jones, M.; Wiedenman, B.

    2011-03-14

    For each sludge batch that is processed in the Defense Waste Processing Facility (DWPF), the Savannah River National Laboratory (SRNL) performs confirmation of the applicability of the digestion method to be used by the DWPF lab for elemental analysis of Sludge Receipt and Adjustment Tank (SRAT) receipt samples and SRAT product process control samples. DWPF SRAT samples are typically dissolved using a room temperature HF-HNO{sub 3} acid dissolution (i.e., DWPF Cold Chem Method, see DWPF Procedure SW4-15.201) and then analyzed by inductively coupled plasma - atomic emission spectroscopy (ICP-AES). This report contains the results and comparison of data generated from performing the Aqua Regia (AR), Sodium peroxide/Hydroxide Fusion (PF) and DWPF Cold Chem (CC) method digestions of Sludge Batch 7a (SB7a) SRAT Receipt and SB7a SRAT Product samples. The SB7a SRAT Receipt and SB7a SRAT Product samples were prepared in the SRNL Shielded Cells, and the SRAT Receipt material is representative of the sludge that constituates the SB7a Batch or qualification composition. This is the sludge in Tank 51 that is to be transferred into Tank 40, which will contain the heel of Sludge Batch 6 (SB6), to form the Sb7a Blend composition.

  13. Pipeline and Batch Sharing in Grid Workloads Douglas Thain, John Bent, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, and Miron Livny

    E-Print Network [OSTI]

    Arpaci-Dusseau, Remzi

    Pipeline and Batch Sharing in Grid Workloads Douglas Thain, John Bent, Andrea C. Arpaci Abstract We present a study of six batch-pipelined scientific workloads that are candidates for execution characterizes workloads composed of pipelines of sequential processes that use file storage for communication

  14. SJSU Information Support Services Run Batch Contracts for Temporary Faculty info-support@sjsu.edu, 408-924-1530 Page 1

    E-Print Network [OSTI]

    Su, Xiao

    page displays. 5. Term: Use the lookup button to search the appropriate term. 6. Due Date: (optional data that exists in the system for the temporary faculty will appear on the Contract Appointment letter/Terms. 2. Click Batch Contracts for T. Faculty. The Batch Process for TF Contract search page displays. 3

  15. DETERMINATION OF REPORTABLE RADIONUCLIDES FOR DWPF SLUDGE BATCH 4 MACROBATCH 5

    SciTech Connect (OSTI)

    Bannochie, C; Ned Bibler, N; David Diprete, D

    2008-05-30

    The Waste Acceptance Product Specifications (WAPS)1 1.2 require that 'The Producer shall report the inventory of radionuclides (in Curies) that have half-lives longer than 10 years and that are, or will be, present in concentrations greater than 0.05 percent of the total inventory for each waste type indexed to the years 2015 and 3115'. As part of the strategy to meet WAPS 1.2, the Defense Waste Processing Facility (DWPF) will report for each waste type, all radionuclides (with half-lives greater than 10 years) that have concentrations greater than 0.01 percent of the total inventory from time of production through the 1100 year period from 2015 through 3115. The initial listing of radionuclides to be included is based on the design-basis glass as identified in the Waste Form Compliance Plan (WCP)2 and Waste Form Qualification Report (WQR)3. However, it is required that this list be expanded if other radionuclides with half-lives greater than 10 years are identified that may meet the greater than 0.01% criterion for Curie content. Specification 1.6 of the WAPS, International Atomic Energy Agency (IAEA) Safeguards Reporting for High Level Waste (HLW), requires that the ratio by weights of the following uranium and plutonium isotopes be reported: U-233, U-234, U-235, U-236, U-238, Pu-238, Pu-239, Pu-240, Pu-241, and Pu-242. Therefore, the complete set of reportable radionuclides must also include this set of U and Pu isotopes. The DWPF is receiving radioactive sludge slurry from HLW Tank 40. The radioactive sludge slurry in Tank 40 is a blend of the previous contents of Tank 40 (Sludge Batch 3) and the sludge that was transferred to Tank 40 from Tank 51. The blend of sludge from Tank 51 and Tank 40 defines Sludge Batch 4 (also referred to as Macrobatch 5 (MB5)). This report develops the list of reportable radionuclides and associated activities and determines the radionuclide activities as a function of time. The DWPF will use this list and the activities as one of the inputs for the development of the Production Records that relate to the radionuclide inventory. This work was initiated through Task Technical Request HLW/DWPF/TTR-2005-0034; Rev. 0 entitled Sludge Batch 4 SRNL Shielded Cells Testing4. Specifically, this report details results from performing, in part, Subtask 3 of the TTR and, in part, meets Deliverable 7 of the TTR. The work was performed following the Technical Task and Quality Assurance Plan (TTQAP), WSRC-RP-2006-00310, Rev. 15 and Analytical Study Plan (ASP), WSRC-RP-2006-00458, Rev. 16. In order to determine the reportable radionuclides for Sludge Batch 4 (SB4) (Macro Batch 5 (MB5)), a list of radioisotopes that may meet the criteria as specified by the Department of Energy's (DOE) WAPS was developed. All radioactive U-235 fission products and all radioactive activation products that could be in the SRS HLW were considered. In addition, all U and Pu isotopes identified in WAPS 1.6 were included in the list. This list was then evaluated and some isotopes excluded from the projection calculations. Based on measurements and analytical detection limits, twenty-nine radionuclides have been identified as reportable for DWPF SB4 (MB5) as specified by WAPS 1.2. The 29 reportable nuclides are: Ni-59; Ni-63; Se-79; Sr-90; Zr-93; Nb-93m; Tc-99; Sn-126; Cs-137; Sm-151; U-233; U-234; Np-237; U-238; Pu-238; Pu-239; Pu-240; Am-241; Pu-241; Pu-242; Am-242m; Am-243; Cm-244; Cm-245; Cm-246; Cm-247; Bk-247; Cm-248; and Cf-251. The WCP and WQR require that all of radionuclides present in the Design Basis glass be considered as the initial set of reportable radionuclides. For SB4 (MB5), all of the radionuclides in the Design Basis glass are reportable except for three radionuclides: Pd-107, Cs-135, and Th-230. At no time through the calendar year 3115 did any of these three radionuclides contribute to more than 0.01% of the radioactivity on a Curie basis. Two additional uranium isotopes (U-235 and -236) must be added to the list of reportable radionuclides in order to meet WAPS 1.6. All of the Pu isotopes and other U isoto

  16. THE SLUDGE BATCH 7A GLASS VARIABILITY STUDY WITH FRIT 418 AND FRIT 702

    SciTech Connect (OSTI)

    Peeler, D.; Edwards, T.

    2011-03-24

    The Defense Waste Processing Facility (DWPF) is preparing to initiate processing of Sludge Batch 7a (SB7a) in May 2011. To support qualification of SB7a, the Savannah River National Laboratory (SRNL) was requested to execute a variability study (VS) to assess the applicability of the current Product Composition Control System (PCCS) durability models for the Frit 418-SB7a compositional region of interest. The objective of this study was to demonstrate applicability of the current durability models to the SB7a compositional region of interest and acceptability of the SB7a glasses with respect to the Environmental Assessment (EA) glass in terms of durability as defined by the Product Consistency Test (PCT). To support programmatic objectives, twenty-eight SB7a glasses were selected based on the nominal sludge projections used to support the frit recommendation. Twenty-three of the SB7a VS glasses were based on the use of Frit 418, while 5 glasses were based on the use of Frit 702. Frit 702 was also identified as a viable candidate for SB7a, especially if SO{sub 4} concentrations are found to be higher than anticipated. Frit 702 has shown a higher SO{sub 4} retention capability as compared to Frit 418. With respect to acceptability, the PCT results of the SB7a-VS glasses are acceptable relative to the EA glass regardless of thermal history (quenched or canister centerline cooled) or compositional view (target or measured). More specifically, all of the SB7a glasses have normalized boron release values (NL [B]) less than 0.9 g/L as compared to the benchmark NL [B] value for EA of 16.695 g/L. With respect to the applicability of the current durability models to the SB7a VS compositional region of interest, all of the study glasses (based on target compositions) lie within the 95% confidence intervals of the model predictions. When model applicability is based on the measured compositions, all of the SB7a VS glasses are predictable with the exception of SB7aVS-02 and SB7aVS-06. Although the NL [B] values of these two glasses range from 0.66 to 0.73 g/L (considered very acceptable), the PCT responses are not considered predictable by the current durability models. The current durability models are conservative for these glasses since they are more durable than predicted by the models. These two glasses are extreme vertices (EV) based compositions coupled with Frit 418 at 36% WL and target the maximum Na{sub 2}O content (15.01 wt% Na{sub 2}O) of the SB7a VS glasses. Higher alkali glasses for which the model overpredicts the PCT response have been observed previously in the Sludge Batch 3 (SB3) Phase 1 VS and the Sludge Batch 6 (SB6) VS.

  17. Health News -US study sheds light on schizophrenia genetics http://www.netdoctor.co.uk/interactive/news/theme_news_detail.php?id=800692655&tab_id=116[8/10/2011 11:03:09 AM

    E-Print Network [OSTI]

    Health News - US study sheds light on schizophrenia genetics http://www.netdoctor.co.uk/interactive/news/theme_news_detail.php?id=800692655&tab_id=116[8/10/2011 11:03:09 AM] Home Diseases and conditions Healthy living Health A-Zs Health Discussion All health news » Latest news » Latest stories US study sheds light on schizophrenia genetics Last

  18. Revised: 4.27.2012 BB9: Forgot your Blackboard (Portal ID) Username & Password p. 1 of 3 If you do not know your CUNY Portal ID or your password (or both), the following instructions

    E-Print Network [OSTI]

    Qiu, Weigang

    Revised: 4.27.2012 BB9: Forgot your Blackboard (Portal ID) Username & Password p. 1 of 3 If you do not know your CUNY Portal ID or your password (or both), the following instructions will guide you in obtaining or resetting that information. 1. Go to the CUNY Portal at http://www.cuny.edu and click

  19. Completing Pre-Pilot Tasks To Scale Up Biomass Fractionation Pretreatment Apparatus From Batch To Continuous

    SciTech Connect (OSTI)

    Dick Wingerson

    2004-12-15

    PureVision Technology, Inc. (PureVision) was the recipient of a $200,000 Invention and Innovations (I&I) grant from the U. S. Department of Energy (DOE) to complete prepilot tasks in order to scale up its patented biomass fractionation pretreatment apparatus from batch to continuous processing. The initial goal of the I&I program, as detailed in PureVision's original application to the DOE, was to develop the design criteria to build a small continuous biomass fractionation pilot apparatus utilizing a retrofitted extruder with a novel screw configuration to create multiple reaction zones, separated by dynamic plugs within the reaction chamber that support the continuous counter-flow of liquids and solids at elevated temperature and pressure. Although the ultimate results of this 27-month I&I program exceeded the initial expectations, some of the originally planned tasks were not completed due to a modification of direction in the program. PureVision achieved its primary milestone by establishing the design criteria for a continuous process development unit (PDU). In addition, PureVision was able to complete the procurement, assembly, and initiate shake down of the PDU at Western Research Institute (WRI) in Laramie, WY during August 2003 to February 2004. During the month of March 2004, PureVision and WRI performed initial testing of the continuous PDU at WRI.

  20. Batch Microreactor Studies of Lignin Depolymerization by Bases. 1. Alcohol Solvents

    SciTech Connect (OSTI)

    MILLER, JAMES E.; EVANS, LINDSEY; LITTLEWOLF, ALICIA; TRUDELL, DANIEL E.

    2002-05-01

    Biomass feedstocks contain roughly 10-30% lignin, a substance that can not be converted to fermentable sugars. Hence, most schemes for producing biofuels (ethanol) assume that the lignin coproduct will be utilized as boiler fuel to provide heat and power to the process. However, the chemical structure of lignin suggests that it will make an excellent high value fuel additive, if it can be broken down into smaller molecular units. From fiscal year 1997 through fiscal year 2001, Sandia National Laboratories was a participant in a cooperative effort with the National Renewable Energy Laboratory and the University of Utah to develop and scale a base catalyzed depolymerization (BCD) process for lignin conversion. SNL's primary role in the effort was to utilize rapidly heated batch microreactors to perform kinetic studies, examine the reaction chemistry, and to develop alternate catalyst systems for the BCD process. This report summarizes the work performed at Sandia during FY97 and FY98 with alcohol based systems. More recent work with aqueous based systems will be summarized in a second report.

  1. Method for automatically evaluating a transition from a batch manufacturing technique to a lean manufacturing technique

    DOE Patents [OSTI]

    Ivezic, Nenad; Potok, Thomas E.

    2003-09-30

    A method for automatically evaluating a manufacturing technique comprises the steps of: receiving from a user manufacturing process step parameters characterizing a manufacturing process; accepting from the user a selection for an analysis of a particular lean manufacturing technique; automatically compiling process step data for each process step in the manufacturing process; automatically calculating process metrics from a summation of the compiled process step data for each process step; and, presenting the automatically calculated process metrics to the user. A method for evaluating a transition from a batch manufacturing technique to a lean manufacturing technique can comprise the steps of: collecting manufacturing process step characterization parameters; selecting a lean manufacturing technique for analysis; communicating the selected lean manufacturing technique and the manufacturing process step characterization parameters to an automatic manufacturing technique evaluation engine having a mathematical model for generating manufacturing technique evaluation data; and, using the lean manufacturing technique evaluation data to determine whether to transition from an existing manufacturing technique to the selected lean manufacturing technique.

  2. Determination of actinides in environmental samples with ICP-MS and automated batch preconcentration

    SciTech Connect (OSTI)

    Crain, J.S.; Smith, L.L.; Alvaradao, J.A. [Argonne National Laboratory, IL (United States)] [and others

    1994-12-31

    Thorium, uranium, and uranium progeny (e.g., {sup 226}Ra) were isolated from a variety of natural water matrices (well, spring, lake, river, and tap waters) using automated batch separation and a proprietary chelating resin. Minimal sample treatment was required in advance of the chemical separation procedure, i.e., samples were acidified, enriched isotopes were added and equilibrated, and, in certain cases, samples were filtered to remove biomass and other particulate matter. Major elemental constituents (e.g., Mg and Ca) were removed by the chemical separation. The isolated actinides and their detectable progeny were then determined using isotope dilution inductively coupled plasma-mass spectrometry combined with ultrasonic nebulization; flow injection was also used to improve sample utilization efficiency and increase the practical limit of preconcentration. Preconcentration factors of ca. 50 were achievable, thereby allowing determination of the isotopes TA interest at concentrations below 1 pg/L (i.e., 1 pCi/L of {sup 226}Ra). The internal and external reproducibility of these measurements will be described, as will their comparability to results obtained by radiochemical means. The authors will also discuss the utility of this procedure for environmental surveillance and the examination of uranium series disequilibria in natural aqueous systems.

  3. Power/Performance Trade-offs of Small Batched LU Based Solvers on GPUs

    SciTech Connect (OSTI)

    Villa, Oreste; Fatica, Massimiliano; Gawande, Nitin A.; Tumeo, Antonino

    2013-08-26

    In this paper we propose and analyze a set of batched linear solvers for small matrices on Graphic Processing Units (GPUs), evaluating the various alternatives depending on the size of the systems to solve. We discuss three different solutions that operate with different level of parallelization and GPU features. The first, exploiting the CUBLAS library, manages matrices of size up to 32x32 and employs Warp level (one matrix, one Warp) parallelism and shared memory. The second works at Thread-block level parallelism (one matrix, one Thread-block), still exploiting shared memory but managing matrices up to 76x76. The third is Thread level parallel (one matrix, one thread) and can reach sizes up to 128x128, but it does not exploit shared memory and only relies on the high memory bandwidth of the GPU. The first and second solution only support partial pivoting, the third one easily supports partial and full pivoting, making it attractive to problems that require greater numerical stability. We analyze the trade-offs in terms of performance and power consumption as function of the size of the linear systems that are simultaneously solved. We execute the three implementations on a Tesla M2090 (Fermi) and on a Tesla K20 (Kepler).

  4. Guest Lecturer/Performer Agreement NAME OF GUEST LECTURER/PERFORMER 1 TAXPAYER ID OR SOCIAL SECURITY NUMBER FROM AN IRS FORM W-9

    E-Print Network [OSTI]

    Clayton, Dale H.

    Guest Lecturer/Performer Agreement NAME OF GUEST LECTURER/PERFORMER 1 TAXPAYER ID OR SOCIAL A taxpayer ID is required for this vendor. Ask the vendor or their agent to complete an IRS Form W-9

  5. IDS120hm GEOMETRY WITH MODIFIED Hg POOL VESSEL SIMULATIONS FOR 60% W + 40% He SHIELDING WITHOUT/WITH

    E-Print Network [OSTI]

    McDonald, Kirk

    IDS120hm GEOMETRY WITH MODIFIED Hg POOL VESSEL SIMULATIONS FOR 60% W + 40% He SHIELDING WITHOUT: (m IS FOR) modified Hg pool vessel IN IDS120h. # WITHOUT AND WITH Hg IN THE POOL SIMULATIONS Hg POOL VESSEL AND SHIFTED Be WIDOW FROM 600 cm (0.6 cm THICK) TO 300 cm (1 cm THICK). MODIFIED Hg

  6. IDS120h GEOMETRY WITH SHIELDING VESSELS SHIELDING MATERIAL: 60% W + 40% He vs. 60% WC + 40% H2O

    E-Print Network [OSTI]

    McDonald, Kirk

    IDS120h GEOMETRY WITH SHIELDING VESSELS SHIELDING MATERIAL: 60% W + 40% He vs. 60% WC + 40% H2O FOR VESSELS Nicholas Souchlas, PBL (11/15/2011) 1 #12;IDS120h with shielding vessels. # Different cases and BP2 with Be sections (N=100,000). # N = 100,000 simulation with supporting ribs for vessels. >mars

  7. Attack on Han et al.'s ID-based Confirmer (Undeniable) Signature at ACM-EC'03

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Attack on Han et al.'s ID-based Confirmer (Undeniable) Signature at ACM-EC'03 Fangguo Zhang of Wollongong, NSW 2522 Australia {fangguo, rei, wsusilo}@uow.edu.au Abstract. At the fourth ACM conference for construction of ID-based cryptographic schemes. At the fourth ACM conference on electronic commerce (EC'03), S

  8. Technical article Wiley Handbook of Science and Technology for Homeland Security Article ID: IS24 Page 1

    E-Print Network [OSTI]

    Hayat, Majeed M.

    Technical article Wiley Handbook of Science and Technology for Homeland Security Article ID: IS24 Spectrometer; Feature Selection Abstract The potential use of nanotechnology for hyperspectral (HS article Wiley Handbook of Science and Technology for Homeland Security Article ID: IS24 Page 2

  9. Id1 expression promotes peripheral CD4{sup +} T cell proliferation and survival upon TCR activation without co-stimulation

    SciTech Connect (OSTI)

    Liu, Chen; Jin, Rong [Department of Immunology, Peking University Health Science Center, Beijing (China)] [Department of Immunology, Peking University Health Science Center, Beijing (China); Wang, Hong-Cheng [Oklahoma Medical Research Foundation, Oklahoma City, OK (United States)] [Oklahoma Medical Research Foundation, Oklahoma City, OK (United States); Tang, Hui; Liu, Yuan-Feng; Qian, Xiao-Ping; Sun, Xiu-Yuan; Ge, Qing [Department of Immunology, Peking University Health Science Center, Beijing (China)] [Department of Immunology, Peking University Health Science Center, Beijing (China); Sun, Xiao-Hong, E-mail: sunx@omrf.org [Oklahoma Medical Research Foundation, Oklahoma City, OK (United States)] [Oklahoma Medical Research Foundation, Oklahoma City, OK (United States); Zhang, Yu, E-mail: zhangyu007@bjmu.edu.cn [Department of Immunology, Peking University Health Science Center, Beijing (China)] [Department of Immunology, Peking University Health Science Center, Beijing (China)

    2013-06-21

    Highlights: •Id1 expression enables naďve T cell proliferation without anti-CD28 co-stimulation. •Id1 expression facilitates T cells survival when stimulated with anti-CD3. •Elevation of IL-2 production by Id1 contributes increased proliferation and survival. •Id1 potentiates NF-?B activation by anti-CD3 stimulation. -- Abstract: Although the role of E proteins in the thymocyte development is well documented, much less is known about their function in peripheral T cells. Here we demonstrated that CD4 promoter-driven transgenic expression of Id1, a naturally occurring dominant-negative inhibitor of E proteins, can substitute for the co-stimulatory signal delivered by CD28 to facilitate the proliferation and survival of naďve CD4{sup +} cells upon anti-CD3 stimulation. We next discovered that IL-2 production and NF-?B activity after anti-CD3 stimulation were significantly elevated in Id1-expressing cells, which may be, at least in part, responsible for the augmentation of their proliferation and survival. Taken together, results from this study suggest an important role of E and Id proteins in peripheral T cell activation. The ability of Id proteins to by-pass co-stimulatory signals to enable T cell activation has significant implications in regulating T cell immunity.

  10. IDS120h GEOMETRY WITH MODIFIED Hg POOL VESSEL SIMULATIONS FOR 60% W + 40% He SHIELDING (P11/P12 'POINTS') (CONT.)

    E-Print Network [OSTI]

    McDonald, Kirk

    IDS120h GEOMETRY WITH MODIFIED Hg POOL VESSEL SIMULATIONS FOR 60% W + 40% He SHIELDING (P11/P12hm: (m IS FOR) modified Hg pool vessel IN IDS120h. # 1E5 AND 5E5 SIMULATIONS COMPARISON = y = 0.12 cm. 2 #12;3 IDS120hm GEOMETRY = IDS120h WITH MODIFIED Hg POOL VESSEL AND SHIFTED Be WIDOW

  11. RASTtk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes

    SciTech Connect (OSTI)

    Brettin, Thomas; Davis, James J.; Disz, Terry; Edwards, Robert A.; Gerdes, Svetlana; Olsen, Gary J.; Olson, Robert; Overbeek, Ross; Parrello, Bruce; Pusch, Gordon D.; Shukla, Maulik; Thomason, III, James A.; Stevens, Rick; Vonstein, Veronika; Wattam, Alice R.; Xia, Fangfang

    2015-02-10

    The RAST (Rapid Annotation using Subsystem Technology) annotation engine was built in 2008 to annotate bacterial and archaeal genomes. It works by offering a standard software pipeline for identifying genomic features (i.e., protein-encoding genes and RNA) and annotating their functions. Recently, in order to make RAST a more useful research tool and to keep pace with advancements in bioinformatics, it has become desirable to build a version of RAST that is both customizable and extensible. In this paper, we describe the RAST tool kit (RASTtk), a modular version of RAST that enables researchers to build custom annotation pipelines. RASTtk offers a choice of software for identifying and annotating genomic features as well as the ability to add custom features to an annotation job. RASTtk also accommodates the batch submission of genomes and the ability to customize annotation protocols for batch submissions. This is the first major software restructuring of RAST since its inception.

  12. RASTtk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes

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

    Brettin, Thomas; Davis, James J.; Disz, Terry; Edwards, Robert A.; Gerdes, Svetlana; Olsen, Gary J.; Olson, Robert; Overbeek, Ross; Parrello, Bruce; Pusch, Gordon D.; et al

    2015-02-10

    The RAST (Rapid Annotation using Subsystem Technology) annotation engine was built in 2008 to annotate bacterial and archaeal genomes. It works by offering a standard software pipeline for identifying genomic features (i.e., protein-encoding genes and RNA) and annotating their functions. Recently, in order to make RAST a more useful research tool and to keep pace with advancements in bioinformatics, it has become desirable to build a version of RAST that is both customizable and extensible. In this paper, we describe the RAST tool kit (RASTtk), a modular version of RAST that enables researchers to build custom annotation pipelines. RASTtk offersmore »a choice of software for identifying and annotating genomic features as well as the ability to add custom features to an annotation job. RASTtk also accommodates the batch submission of genomes and the ability to customize annotation protocols for batch submissions. This is the first major software restructuring of RAST since its inception.« less

  13. Large batch dimensional metrology demonstrated in the example of a LIGA fabricated spring.

    SciTech Connect (OSTI)

    Aigeldinger, Georg; Skala, Dawn M.; Ceremuga, Joseph T.

    2004-04-01

    Deep x-ray lithography in combination with electroforming is capable of producing high precision metal parts in small lot series. This study deals with a high aspect ratio structure with overall dimensions on the order of 10 mm x 7 mm x 1.5 mm, with the smallest line width being 150 {micro}m. The lateral deviation from the design is to be kept to a minimum, preferably below 5 {micro}m. To ensure adequate quality control, a semi-automated metrology technique has been established to measure all parts. While the paper will give a brief overview of all involved techniques, it focuses on the method to measure the top and bottom of the parts and the top of geometries following the process. The instrument used is a View Engineering Voyager V6x12 microscope, which is fully programmable. The microscope allows direct measurement of geometries but also is capable of saving all captured data as point clouds. These point clouds play a central role when evaluating part geometry. After measuring the part, the point cloud is compared to the computer aided design (CAD) contour of the part, using a commercially available software package. The challenge of proper edge lighting on a nickel alloy part is evaluated by varying lighting conditions systematically. Results of two conditions are presented along with a set of optimized parameters. With the introduced set of tools, process flow can be monitored by measuring geometries, e.g. linewidths in every step of the process line. An example for such analysis is given. After delivery of a large batch of parts, extensive numbers of datasets were available allowing the evaluation of the variation of part geometries. Discussed in detail is the deviation from part top to part bottom geometries indicating swelling of the PMMA mold in the electroplating bath.

  14. NEPHELINE FORMATION STUDY FOR SLUDGE BATCH 4: PHASE 3 EXPERIMENTAL RESULTS

    SciTech Connect (OSTI)

    Fox, K

    2006-05-01

    This Phase 3 study was undertaken to complement the previous phases of the nepheline formation studies1, 2 by continuing the investigation into the ability of the nepheline discriminator to predict the occurrence of nepheline crystallization in Sludge Batch 4 (SB4) glasses and into the impact of such phases on the durability of the SB4 glasses. The Phase 3 study had two primary objectives. The first was to continue to demonstrate the ability of the discriminator value to adequately predict the nepheline formation potential for specific glass systems of interest. The second was to generate additional data that have a high probability of supporting the SB4 variability study. To support these two objectives, sixteen glasses were selected based on the most recent SB4 compositional projection, Case 15C Blend 1.3 Four different frits were included, based on previous assessments of projected operating windows and melt rate,4, 5 with four WLs selected for each frit. Eight of these frit-sludge combinations covered WLs which tightly bound the nepheline discriminator value of 0.62, with the intent of refining this value to a level of confidence where it can be incorporated into offline administrative controls and/or the Process Composition Control System (PCCS) to support Slurry Mix Evaporator (SME) acceptability decisions. The remaining eight frit-sludge combinations targeted lower WLs (35 and 40%) and were prepared and analyzed to contribute needed data to the ComPro database6 to support a potential variability study for SB4.

  15. 2014-2015 Verification of Social Security Number & Date of Birth A. STUDENT INFORMATION SPIRE ID#: ____________________

    E-Print Network [OSTI]

    Mountziaris, T. J.

    2014-2015 Verification of Social Security Number & Date of Birth A. STUDENT INFORMATION SPIRE ID YYYY My correct Social Security Number is: ________ - _____ - _________ B. SIGNATURE- For corrections to date of birth. · Signed Social Security card or passport- For corrections to social security

  16. Materials Science and Engineering BS, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Materials Science and Engineering BS, 2015-2016 Name ID# Date Course Number and Title Credits or ECE 210 3 ENGR 245, 245L Intro to Materials Science & Engineering & Lab 4 MATH 175 Calculus II 4 MATH Engineering Statistics 3 CID MSE 215 Materials Processing 3 MSE 305 Structure of Materials 3 MSE 308

  17. Electrical Engineering BS, IDoTeach Secondary Education Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Electrical Engineering BS, IDoTeach Secondary Education Emphasis, 2015-2016 Name ID# Date Course, 211L-212, 212L Physics I & II with Calculus & Labs 10 Electrical Engineering electives* 12 IDo Apprentice Teaching 6 Total 140 *Electrical engineering and technical electives must be approved

  18. Bachelor of Science, Electrical Engineering, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Electrical Engineering, 2012-2013 Name ID# Date General Degree Requirements Modeling and Control 3 CID ECE 380, 380L Electrical Engineering Practice and Lab 3 ECE 480 Senior Design PHYS 211, 211L-212, 212L Physics I & II with Calculus & Labs 10 Electrical Engineering electives* 12

  19. Bachelor of Science, Electrical Engineering, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Electrical Engineering, 2014-2015 Name ID# Date General Degree Requirements ECE 380, 380L Electrical Engineering Practice and Lab 3 ECE 480 Senior Design Project I 3 FF ECE 482L Physics I & II with Calculus & Labs 10 Electrical Engineering electives* 12 Technical electives* 6

  20. Bachelor of Science, Electrical Engineering, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Electrical Engineering, 2013-2014 Name ID# Date General Degree Requirements System Modeling and Control CID ECE 380, 380L Electrical Engineering Practice and Lab ECE 480 Senior 3 3 3 4 4 4 3 PHYS 211, 211L-212, 212L Physics I & II with Calculus & Labs 10 Electrical Engineering

  1. How to convert any ID-based Signature Schemes into a Group Signature Scheme

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    agreement [10]. The private key component is computed by the Private Key Generator (PKG) and sends parameters) and master-key. Params is publicly known, while master-key is only known to the PKG. #15; ID EXTRACT: An algorithm, executed by the PKG, that takes as input params, master-key and a

  2. Computer Science Major Worksheet B.A. Degree Student: _______________________ ID#___________ Catalog:_________ Advisor _____________

    E-Print Network [OSTI]

    Delene, David J.

    10/15/2012 Computer Science Major Worksheet ­ B.A. Degree Student: _______________________ ID#___________ Catalog:_________ Advisor _____________ Computer Science Required Courses Cr. Semester Gr. CSci 160 Computer Science I 4 CSci 161 Computer Science II 4 CSci 230 Systems Programming 3 CSci 242 Algo. & Data

  3. Bachelor of Science, Computer Science, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Computer Science, 2012-2013 Name ID# Date General Degree Requirements of Speech Communication COMPSCI 125 Introduction to Computer Science I COMPSCI 225 Introduction to Computer Science II CID COMPSCI 230 Ethical Issues in Computing COMPSCI 253 Object-Oriented Program Development

  4. Bachelor of Science, Computer Science, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Computer Science, 2013-2014 Name ID# Date General Degree Requirements Technical Communication 3 COMPSCI 121 Computer Science I COMPSCI 221 Computer Science II CID COMPSCI 230 Microprocessors and Lab 4 3 3 3 3 3 3 3 3 3 3 3 3 0 1 4 4 Three additional computer science courses chosen from

  5. Bachelor of Science, Computer Science, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Computer Science, 2014-2015 Name ID# Date General Degree Requirements Technical Communication 3 CS 121, 121L Computer Science I and Lab 4 CS 221 Computer Science II 3 CID CS 230 Microprocessors and Lab 4 4 Four additional computer science courses chosen from: CS 401, CS 410, CS 425, CS 430

  6. Bachelor of Science, Geosciences, Geophysics Emphasis, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Geosciences, Geophysics Emphasis, 2014-2015 Name ID# Date General Degree General Chemistry II with Lab 4 GEOPH 201 Seeing the Unseen: an Introduction to Geophysics 4 GEOG 360 Physics I & II with Calculus & Labs Physics Option II: PHYS 111-112 General Physics 8-10 Geophysics

  7. History, Social Sciences, Secondary Education BA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    History, Social Sciences, Secondary Education BA, 2015-2016 Name ID# Date Course Number and Title required by the History Department will be determined by the Department of World Languages or the History Department. 4 HIST 111/211 United States History 3 HIST 112/212 United States History 3 CID HIST 220 or HIST

  8. History of Art and Visual Culture BA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    History of Art and Visual Culture BA, 2015-2016 Name ID# Date Course Number and Title Credits Foundations I and II 6 CID ART 298 Seminar 3 ARTHIST 102 Survey of Western Art II 3 ARTHIST 450 Art History Practicum 3 FF ARTHIST 452 Methods and Theory in Art History 3 ARTHIST 499 Art History Seminar 3 One Ancient

  9. Mathematics BS, Secondary Education Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Mathematics BS, Secondary Education Emphasis, 2015-2016 Name ID# Date Course Number and Title.) 4-5 MATH 175 Calculus II 4 MATH 187 Discrete and Foundational Mathematics I 3 MATH 275 Multivariable and Vector Calculus 4 CID MATH 287 Communication in the Mathematical Sciences 3 MATH 305 Intro to Abstract

  10. Applied Mathematics BS, Statistics Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Applied Mathematics BS, Statistics Emphasis, 2015-2016 Name ID# Date Course Number and Title Mathematics I 3 MATH 275 Multivariable and Vector Calculus 4 CID MATH 287 Communication in the Mathematical To Computational Mathematics 3 FF MATH 401 Senior Thesis in the Mathematical Sciences 1 MATH 465 Numerical Analysis

  11. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, MANUSCRIPT ID 1 Efficient Data Migration to Conserve Energy

    E-Print Network [OSTI]

    Bader, David A.

    and efficient data migrations to achieve the un- balanced data layouts. Motivation. The primary problemIEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, MANUSCRIPT ID 1 Efficient Data Migration to high data migration overhead. To address this problem, we propose in this paper a new energy

  12. Bachelor of Science, Civil Engineering, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Civil Engineering, 2012-2013 Name ID# Date General Degree Requirements and Lab CE 280 Civil Engineering Case Studies CE 282 Engineering Practice CE 320 Principles Civil Engineering Design elective* 3 Civil Engineering Technical electives* 6 Science elective* 3

  13. Bachelor of Science, Civil Engineering, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Civil Engineering, 2013-2014 Name ID# Date General Degree Requirements and Lab CE 280 Civil Engineering Case Studies CE 282 Engineering Practice CE 320 Principles with Matrix Theory ME 302 or ENGR 320 Thermodynamics I 4 4 4 3 Civil Engineering Design elective* 3 Civil

  14. Bachelor of Science, Civil Engineering, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Civil Engineering, 2014-2015 Name ID# Date General Degree Requirements and Lab CE 280 Civil Engineering Case Studies CE 282 Engineering Practice CE 284 Computational Methods CE with Matrix Theory 4 4 4 Civil Engineering Design elective* 3 Civil Engineering Technical electives* 6

  15. Technical Standards Self-Assessment Declaration I, ____________________, Student ID Number ________________ as a student of the Radiation

    E-Print Network [OSTI]

    MacMillan, Andrew

    Technical Standards Self-Assessment Declaration I, ____________________, Student ID Number ________________ as a student of the Radiation Therapy Program, acknowledge that I have reviewed the Technical Standards Policy, Technical Standards Procedures and the Technical Standards Self-Assessment and Details documents. I

  16. IDS120j WITHOUT RESISTIVE MAGNETS MODIFYING Hg MODULE ( NEW SH#1 REGION + Hg POOL LENGTH)

    E-Print Network [OSTI]

    McDonald, Kirk

    IDS120j WITHOUT RESISTIVE MAGNETS MODIFYING Hg MODULE ( NEW SH#1 REGION + Hg POOL LENGTH) Nicholas CRYO#1 WAS DECIDED DURING THE LAST MEETING AND AN EXTENSION OF THE Hg POOL UPSTREAM UP TO ~ - 100 cm FROM SIMULATIONS WITH MODIFIED Hg POOL AND SH#1 REGION

  17. IDS120j WITHOUT RESISTIVE MAGNETS INTRODUCING A DOUBLE WALL Hg POOL VESSSELAND Be WINDOW.

    E-Print Network [OSTI]

    McDonald, Kirk

    IDS120j WITHOUT RESISTIVE MAGNETS INTRODUCING A DOUBLE WALL Hg POOL VESSSELAND Be WINDOW. SC#4 STUDIES FOR 20 cm GAPS SIZE FOR STST IN THE PLACE OF RESISTIVE MAGNETS AND REST OF VOLUME IN Hg POOL SHIELDING IN THE PLACE OF RESISTIVE MAGNETS AND IN THE REST OF VOLUME IN THE Hg POOL VESSEL

  18. IDS120j WITHOUT RESISTIVE MAGNETS MODIFYING Hg MODULE ( NEW SH#1 REGION )

    E-Print Network [OSTI]

    McDonald, Kirk

    CRYO#1 WAS DECIDED DURING 11 / 15 / 2012 TARGET MEETING AND AN EXTENSION OF THE Hg POOL UPSTREAM UP cm. # RESULTS FROM SIMULATIONS WITH MODIFIED Hg POOL AND SH#1 REGION ( SC#1+2, SC#4 SEGMENTATION;IDS120j: GENERAL OVERVIEW (LEFT), POOL REGION DETAILS (RIGHT). [20 cm GAPS] SH#1 SH#1 SH#1A SH#2 SH#1A

  19. IDS120h GEOMETRY WITH SHIELDING VESSELS ENERGY FLOW ANALYSIS CONTINUED

    E-Print Network [OSTI]

    McDonald, Kirk

    IDS120h GEOMETRY WITH SHIELDING VESSELS ENERGY FLOW ANALYSIS CONTINUED SHIELDING MATERIAL: 60% W with shielding vessels. # Different cases of shielding material. # N = 100,000 AND N = 500,000 events simulations CUTOFF >SHIELDING: 60% W + 40% He , 80% W + 20% He, 88% W + 12% He ( WITH W VESSELS) >4 MW proton beam

  20. NIST Report to the FBI: Plex-ID Electrospray Time-of-Flight Mass

    E-Print Network [OSTI]

    1 NIST Report to the FBI: Plex-ID Electrospray Time-of-Flight Mass Spectrometer for Mitochondrial. John Butler (NIST) Dr. Thomas Callaghan (FBI) Eric Pokorak (FBI) Points of view in this document of Investigation (FBI). Certain commercial equipment, instruments, and materials are identified in order to specify

  1. TS-IDS Algorithm For Query Selection in the Deep Web Crawling

    E-Print Network [OSTI]

    Lu, Jianguo

    TS-IDS Algorithm For Query Selection in the Deep Web Crawling Yan Wang1 , Jianguo Lu2 , and Jessica. The deep web crawling is the process of collecting data items inside a data source hidden behind searchable of documents and terms involved, calls for new approximation algorithms for efficient deep web data crawling

  2. Name: ID PPST / / PROGRAM OF STUDY FOR EARLY CHILDHOOD EDUCATION (PRE K2) Catalog Year:_______________

    E-Print Network [OSTI]

    Hemmers, Oliver

    Name: ID PPST / / PROGRAM OF STUDY FOR EARLY CHILDHOOD EDUCATION (PRE K­2) Catalog Year:_______________ education.unlv.edu/advising/702-895-1537CEB 226 2.75 minimum GPA requirement Students must meet-division credits 30 resident credits UNLV General Education Core Requirements English Composition & Literature

  3. Name: ID PPST / / PROGRAM OF STUDY FOR EARLY CHILDHOOD EDUCATION (PRE K2) Catalog Year:_______________

    E-Print Network [OSTI]

    Hemmers, Oliver

    Name: ID PPST / / PROGRAM OF STUDY FOR EARLY CHILDHOOD EDUCATION (PRE K­2) Catalog Year:_______________ education.unlv.edu/afp/702-895-1537CEB 221 2.75 minimum GPA requirement Students must meet the following resident credits UNLV General Education Core Requirements English Composition & Literature Requirement (9cr

  4. Name: ID PPST / / PROGRAM OF STUDY FOR EARLY CHILDHOOD EDUCATION (PRE K2) Catalog Year:_______________

    E-Print Network [OSTI]

    Hemmers, Oliver

    Name: ID PPST / / PROGRAM OF STUDY FOR EARLY CHILDHOOD EDUCATION (PRE K­2) Catalog Year:_______________ education.unlv.edu/afp/702-895-1537CEB 221 2.75 minimum GPA requirement Students must meet the following resident credits UNLV General Education Core Requirements First and Second Year Experience (5cr.) CR DATE

  5. Bachelor of Business Administration, Marketing, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Business Administration, Marketing, 2014-2015 Name ID# Date General Degree Requirements Principles of Marketing MKTG 307 Customer Behavior MKTG 315 Marketing Research MKTG 321 Professional Selling MKTG 425 Marketing Planning Applications 3 3 3 3 3 PSYC 101 General Psychology 3 SCM 345 Principles

  6. Bachelor of Business Administration, Marketing, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Business Administration, Marketing, 2013-2014 Name ID# Date General Degree Requirements Principles of Marketing MKTG 307 Customer Behavior MKTG 315 Marketing Research MKTG 321 Professional Selling MKTG 425 Marketing Planning Applications 3 3 3 3 3 PSYC 101 General Psychology 3 SCM 345 Principles

  7. Bachelor of Business Administration, Marketing, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Business Administration, Marketing, 2012-2013 Name ID# Date General Degree Requirements Skills 3 MKTG 301 Principles of Marketing MKTG 307 Customer Behavior MKTG 315 Marketing Research MKTG 321 Professional Selling MKTG 425 Marketing Planning Applications 3 3 3 3 3 PSYC 101 General Psychology 3 SCM 345

  8. Paper ID #12625 Machine Design Experiments Using Gears to Foster Discovery Learning

    E-Print Network [OSTI]

    Nagurka, Mark L.

    Paper ID #12625 Machine Design Experiments Using Gears to Foster Discovery Learning Mr. Jonathon E Education, 2015 #12;Machine Design Experiments Using Gears to Foster Discovery Learning Abstract Experiments with mechanical systems using gears. This paper describes the experiments, which present students with a range

  9. Visual Art BFA, Ceramics Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Visual Art BFA, Ceramics Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 3-4 DLV ARTHIST 101 Survey of Western Art I 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social Sciences course in a second field 3 ART 107, 108 Art Foundations I

  10. Visual Art BFA, Sculpture Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Visual Art BFA, Sculpture Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 3-4 DLV ARTHIST 101 Survey of Western Art I 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social Sciences course in a second field 3 ART 107, 108 Art Foundations I

  11. Visual Art BFA, Art Metals Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Visual Art BFA, Art Metals Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 3-4 DLV ARTHIST 101 Survey of Western Art I 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social Sciences course in a second field 3 ART 107, 108 Art Foundations I

  12. Visual Art BFA, Photography Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Visual Art BFA, Photography Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 3-4 DLV ARTHIST 101 Survey of Western Art I 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social Sciences course in a second field 3 ART 107, 108 Art Foundations I

  13. Art Education K-12 or 6-12 BFA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Art Education K-12 or 6-12 BFA, 2015-2016 Name ID# Date Course Number and Title Credits Completed 3-4 DLV ARTHIST 101 Survey of Western Art I 3 DLL Literature and Humanities 3-4 DLS ED-CIFS 201 Foundations of Education 3 DLS Social Sciences course in a second field 3 ART 107, 108 Art Foundations I

  14. Visual Art BFA, Drawing and Painting Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Visual Art BFA, Drawing and Painting Emphasis, 2015-2016 Name ID# Date Course Number and Title Sciences course 3-4 DLV ARTHIST 101 Survey of Western Art I 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social Sciences course in a second field 3 ART 107, 108 Art

  15. Visual Art BFA, Printmaking Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Visual Art BFA, Printmaking Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 3-4 DLV ARTHIST 101 Survey of Western Art I 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social Sciences course in a second field 3 ART 107, 108 Art Foundations I

  16. Visual Art BFA, Interdisciplinary Art Studio Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Visual Art BFA, Interdisciplinary Art Studio Emphasis, 2015-2016 Name ID# Date Course Number, and Applied Sciences course 3-4 DLV ARTHIST 101 Survey of Western Art I 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social Sciences course in a second field 3 ART 107

  17. University of South Carolina Citizenship Status Verification Student Name: Last four digits of ID/SSN

    E-Print Network [OSTI]

    University of South Carolina Citizenship Status Verification Student Name: Last four digits of ID/SSN: Pursuant to section 59-101-430 of the South Carolina Code of Laws, as amended in 2008, the University of South Carolina has adopted a general enrollment policy effective January 1, 2009. To attend a public

  18. Danger Theory: The Link between AIS and IDS?+ Uwe Aickelin1

    E-Print Network [OSTI]

    Aickelin, Uwe

    Danger Theory: The Link between AIS and IDS?+ Uwe Aickelin1 , Peter Bentley2 , Steve Cayzer_Cayzer@hplb.hpl.hp.com, Jungwon@dcs.kcl.ac.uk, Julie.Mcleod@uwe.ac.uk artificial immune system, intrusion detection, danger theory self-nonself thinking and a new `Danger Theory' (DT) is emerging. This new theory suggests

  19. Physics BS, Applied Physics Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Physics BS, Applied Physics Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 4 DLN PHYS 211, 211L Physics I with Calculus & Lab 5 DLN PHYS 212, 212L Physics II with Calculus Electronics 4 PHYS 309, 309L Introductory Quantum Physics & Lab 4 PHYS 311 Modern Physics 3 PHYS 325

  20. Physics BS, Secondary Education Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Physics BS, Secondary Education Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 4 DLN PHYS 211, 211L Physics I with Calculus & Lab 5 DLN PHYS 212, 212L Physics II with Calculus PHYS 309, 309L Introductory Quantum Physics & Lab 4 PHYS 311 Modern Physics 3 PHYS 325 Scientific

  1. Bachelor of Arts, English, Technical Communication Emphasis, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    , Management, Information Technology Management, and Sociology courses chosen from: ACCT 205, ACCT 206, GENBUSBachelor of Arts, English, Technical Communication Emphasis, 2013-2014 Name ID# Date General Degree and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN

  2. Bachelor of Arts, English, Technical Communication Emphasis, 214-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    , Management, Information Technology Management, and Sociology courses chosen from: ACCT 205, ACCT 206, GENBUSBachelor of Arts, English, Technical Communication Emphasis, 214-2015 Name ID# Date General Degree and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN

  3. SHIELDING STUDIES FOR THE MUON COLLIDER TARGET (From STUDY II to IDS120f Geometries)

    E-Print Network [OSTI]

    McDonald, Kirk

    COLLECTING TANK (BEAM DUMP) AND REMOVAL SYSTEM. 8. SHIELDING CONFIGURATIONS (WC BEADS+H2O). 2 #12;TARGETSHIELDING STUDIES FOR THE MUON COLLIDER TARGET (From STUDY II to IDS120f Geometries) NICHOLAS. RADIATION DAMAGE. STRUCTURAL/MECHANICAL LIMITS FOR SUPERCONDUCTING COILS. SHIELDING MATERIAL. RESULTS

  4. Civil Engineering BS, Secondary Education Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Civil Engineering BS, Secondary Education Emphasis, 2015-2016 Name ID# Date Course Number and Title Engineering Surveying and Lab 3 CE 280 Civil Engineering Case Studies 2 CE 282 Engineering Practice 3 CE 284 Computational Methods 2 CE 320 Principles of Environmental Engineering 3 CID CE 321 Principles of Environmental

  5. Bachelor of Science, Mechanical Engineering, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Mechanical Engineering, 2013-2014 Name ID# Date General Degree Requirements and Statistics I 4 4 4 3 ME 105 Mechanical Engineering Graphics ME 271 Introduction to Computation for Engineers, 331 or CE 330, 331 or ENGR 330, 331 Fluid Mechanics and Lab ME 350 or CE 350 or ENGR 350 Engineering

  6. Bachelor of Science, Mechanical Engineering, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Mechanical Engineering, 2012-2013 Name ID# Date General Degree Requirements ENGR 320 Thermodynamics I ENGR 330, 331 Fluid Mechanics and Lab ENGR 350 Engineering Mechanics and Statistics I 4 4 4 3 ME 105 Mechanical Engineering Graphics CID ME 310 Experimental Methods Lab ME 320 Heat

  7. Bachelor of Science, Mechanical Engineering, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Mechanical Engineering, 2014-2015 Name ID# Date General Degree Requirements 105 Mechanical Engineering Graphics 3 ME 271 Introduction to Computation for Engineers 3 ME 302 or CE 330, 331 or ENGR 330, 331 Fluid Mechanics and Lab 4 ME 350 or CE 350 or ENGR 350 Engineering

  8. Music, Performance BM, Bowed String Option, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Music, Performance BM, Bowed String Option, 2015-2016 Name ID# Date Course Number and Title Credits 3-4 DLV MUS 100 Introduction to Music 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social Sciences course in a second field 3 MUS 119, 120, 219, 220 Materials of Music

  9. Music, Performance BM, Piano Option, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Music, Performance BM, Piano Option, 2015-2016 Name ID# Date Course Number and Title Credits 3-4 DLV MUS 100 Introduction to Music 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social Sciences course in a second field 3 MUS 119, 120, 219, 220 Materials of Music

  10. Music, Performance BM, Voice Option, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Music, Performance BM, Voice Option, 2015-2016 Name ID# Date Course Number and Title Credits 3-4 DLV MUS 100 Introduction to Music 3 DLL Literature and Humanities 3-4 DLS Social Sciences course in a first field 3 DLS Social Sciences course in a second field 3 MUS 119, 120, 219, 220 Materials of Music

  11. Bachelor of Music, Music Education, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Music, Music Education, 2014-2015 Name ID# Date General Degree Requirements Residency, and Applied Sciences course DLV MUS 100 Introduction to Music DLL Literature and Humanities DLS ED-CIFS 201 and Foundational Studies for more information. 1 4 3 MUS 119*, 120, 219, 220 Materials of Music (*with grade of C

  12. Music, Performance BM, Wind/Brass/Percussion Option, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Music, Performance BM, Wind/Brass/Percussion Option, 2015-2016 Name ID# Date Course Number, and Applied Sciences course 3-4 DLV MUS 100 Introduction to Music 3 DLL Literature and Humanities 3-4 DLS, 219, 220 Materials of Music 12 MUS 121, 122, 221, 222 Ear Training 4 CID MUS 202 Music Communications

  13. Biology BS, Environmental Biology Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Biology BS, Environmental Biology Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 170 4 DLN BIOL 191 General Biology I 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 DLV Visual Sciences course in a second field 3 BIOL 192 General Biology II 4 BIOL 301 Cell Biology 3 CID BIOL 323

  14. Biology BS, Molecular Cell Biology Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Biology BS, Molecular Cell Biology Emphasis, 2015-2016 Name ID# Date Course Number and Title 160 or MATH 170 4 DLN BIOL 191 General Biology I 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 in a first field 3 DLS Social Sciences course in a second field 3 BIOL 192 General Biology II 4 BIOL 301 Cell

  15. Biology BS, Secondary Education Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Biology BS, Secondary Education Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 170 4 DLN BIOL 191 General Biology I 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 DLV Visual Sciences course in a second field 3 BIOL 192 General Biology II 4 BIOL 301 Cell Biology 3 CID BIOL 323

  16. Biology BS, Human Biology Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Biology BS, Human Biology Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 170 4 DLN BIOL 191 General Biology I 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 DLV Visual Sciences course in a second field 3 BIOL 192 General Biology II 4 BIOL 301 Cell Biology 3 CID BIOL 323

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    E-Print Network [OSTI]

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  18. Communication BA, Public Communication Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Communication BA, Public Communication Emphasis, 2015-2016 Name ID# Date Course Number and Title Fundamentals of Communication 3 DLS Social Sciences course in a second field 3 Communication Arts - choose one Communication Contexts - choose one from the following: COMM 221, COMM 341, COMM 351, COMM 356, COMM 361, COMM

  19. Communication BA, Relational and Organizational Studies Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Communication BA, Relational and Organizational Studies Emphasis, 2015-2016 Name ID# Date Course-4 DLS COMM 101 Fundamentals of Communication 3 DLS Social Sciences course in a second field 3 Communication Arts - choose one from the following: COMM 131, COMM 211, COMM 231, COMM 268, COMM 269, COMM 273

  20. Communication BA, Journalism and Media Studies Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Communication BA, Journalism and Media Studies Emphasis, 2015-2016 Name ID# Date Course Number 101 Fundamentals of Communication 3 DLS Social Sciences course in a second field 3 Communication Arts Communication Contexts - choose one from the following: COMM 221, COMM 341, COMM 351, COMM 356, COMM 361, COMM

  1. Bachelor of Arts, Communication, Public Communication Emphasis, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Arts, Communication, Public Communication Emphasis, 2013-2014 Name ID# Date General Communication Arts - choose one from the following: COMM 131, COMM 211, COMM 231, COMM 268, COMM 269, COMM 273, COMM 278 3 Communication Contexts - choose one from the following: COMM 221, COMM 341, COMM 351, COMM

  2. Bachelor of Arts, Communication, Public Communication Emphasis, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Arts, Communication, Public Communication Emphasis, 2012-2013 Name ID# Date General Communication Arts - choose one from the following: COMM 131, COMM 211, COMM 231, COMM 268, COMM 269, COMM 273, COMM 278 3 Communication Contexts - choose one from the following: COMM 221, COMM 341, COMM 351, COMM

  3. Communication BA, Media Production Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Communication BA, Media Production Emphasis, 2015-2016 Name ID# Date Course Number and Title Fundamentals of Communication 3 DLS Social Sciences course in a second field 3 Communication Arts - choose one Communication Contexts - choose one from the following: COMM 221, COMM 341, COMM 351, COMM 356, COMM 361, COMM

  4. Bachelor of Arts, Communication, Public Communication Emphasis, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Arts, Communication, Public Communication Emphasis, 2014-2015 Name ID# Date General Communication Arts - choose one from the following: COMM 131, COMM 211, COMM 231, COMM 268, COMM 269, COMM 273, COMM 278 3 Communication Contexts - choose one from the following: COMM 221, COMM 341, COMM 351, COMM

  5. IDS120h POWER DEPOSITION AND Hg POOL STUDIES Nicholas Souchlas (7/26/2011)

    E-Print Network [OSTI]

    McDonald, Kirk

    IDS120h POWER DEPOSITION AND Hg POOL STUDIES Nicholas Souchlas (7/26/2011) 1 #12;Power deposition;ENERGY DEPOSITED IN SC SOLENOIDS (SC#), SHIELDING (SH#). P12 OPTIMIZED POINT, POOL WALL CASES x=+/-6W DECREASE IN DP (BLUE AREA) SH#4~ SMALL INCREASE IN DP (YELLOW AREA) RS, BP~ SAME DP #12;HIGHLIGHTS : Power

  6. Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 2)

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

    Seibert, M. Marvin; Ekeberg, Tomas

    These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 2 are the pattern and configuration files for the pattern showed in Figure 2b in the paper.

  7. AdvANCE CoNFErENCE GuIdE 2007 JavaoneSM

    E-Print Network [OSTI]

    Cortes, Corinna

    AdvANCE CoNFErENCE GuIdE 2007 JavaoneSM Conference Features Java Technology, open Source, Web 2 and Integration | Tools and Languages JavaoneSM Conference | May 8­11, 2007 Javaone Pavilion: May 8­10, 2007 you. How to navigate this brochure and easily find what you need... Conference Overview Java

  8. Cinema and Digital Media Studies Certificate, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Cinema and Digital Media Studies Certificate, 2015-2016 Name ID# Date Course Number and Title Production 3 COMM 365 Film Styles and Genres 3 COMM 470 The Film Producer's Role 3 THEA 220 Cinema: History The Cinema and Digital Media Studies certificate will be awarded following completion of an associate

  9. Paper ID# 900596.PDF BUILDING A DARK PICONET UPON BLUETOOTH INTERFACES OF COMPUTERS

    E-Print Network [OSTI]

    Wang, Weichao

    Paper ID# 900596.PDF BUILDING A DARK PICONET UPON BLUETOOTH INTERFACES OF COMPUTERS Rodney Owens robustness and it is not easy to monitor the communication channels. While there are tools such as Net will illustrate an attack to establish a dark piconet upon Bluetooth interfaces of well protected computers

  10. Paper ID #9719 Machine Design Experiments Using Mechanical Springs to Foster Discover

    E-Print Network [OSTI]

    Nagurka, Mark L.

    Paper ID #9719 Machine Design Experiments Using Mechanical Springs to Foster Discover Learning interests are in the design of mechanical and electromechanical systems and in engineer- ing education. He, 2014 #12;Machine Design Experiments Using Mechanical Springs to Foster Discovery Learning Abstract

  11. iD Tech needs your help to inspire more young women to enter the

    E-Print Network [OSTI]

    Oviedo, Néstor J.

    -18 as well as a new all-girls option (Alexa Café for ages 10-15). At Alexa Café, we also emphasize techiD Tech needs your help to inspire more young women to enter the tech industry and make their voices and ideas heard. iD Tech is determined to help reshape the face of the tech industry by providing

  12. Bachelor of Science, Kinesiology, Biomechanics Emphasis, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Kinesiology, Biomechanics Emphasis, 2014-2015 Name ID# Date General Degree Physiology and Lab KINES 363 Exercise Psychology KINES 370, 371 Biomechanics and Lab KINES 375, 376 Human Engineering 3 ME 356 Introduction to Solid Biomechanics 3 PHYS 211, 211L Physics I with Calculus and Lab 5

  13. Bachelor of Science, Kinesiology, Biomechanics Emphasis, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Kinesiology, Biomechanics Emphasis, 2013-2014 Name ID# Date General Degree Biomechanics and Lab KINES 375, 376 Human Growth and Motor Learning and Lab KINES 430 Physical Activity Introduction to Biomedical Engineering 3 ME 356 Introduction to Solid Biomechanics 3 PHYS 211, 211L Physics I

  14. Completions 2012-13 Institution: Colorado School of Mines (126775) User ID: P1267751

    E-Print Network [OSTI]

    Completions 2012-13 Institution: Colorado School of Mines (126775) User ID: P1267751 Completions Overview Welcome to the IPEDS Completions survey component. The Completions component is one of several. The reporting period for the Completions component is during the 12-month time period beginning July 1

  15. Completions 2014-15 Institution: Colorado School of Mines (126775) User ID: P1267751

    E-Print Network [OSTI]

    Completions 2014-15 Institution: Colorado School of Mines (126775) User ID: P1267751 Completions Overview Welcome to the IPEDS Completions survey component. The Completions component is one of several. The reporting period for the Completions component is during the 12-month time period beginning July 1

  16. Completions 2013-14 Institution: Colorado School of Mines (126775) User ID: P1267751

    E-Print Network [OSTI]

    Completions 2013-14 Institution: Colorado School of Mines (126775) User ID: P1267751 Completions Overview Welcome to the IPEDS Completions survey component. The Completions component is one of several. The reporting period for the Completions component is during the 12-month time period beginning July 1

  17. Bachelor of Science, Social Science, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Social Science, 2014-2015 Name ID# Date General Degree Requirements Residency DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL Literature and Humanities 3-4 DLS Social

  18. Bachelor of Science, Social Science, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Social Science, 2012-2013 Name ID# Date General Degree Requirements Residency DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL Literature and Humanities 3-4 DLS Social

  19. Bachelor of Science, Social Science, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Social Science, 2013-2014 Name ID# Date General Degree Requirements Residency DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL Literature and Humanities 3-4 DLS Social

  20. Annales Geophysicae, 23, 22392247, 2005 SRef-ID: 1432-0576/ag/2005-23-2239

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Annales Geophysicae, 23, 2239­2247, 2005 SRef-ID: 1432-0576/ag/2005-23-2239 © European Geosciences Union 2005 Annales Geophysicae Gamma rays in L-B coordinates at CORONAS-I altitude R. Buc´ik1, K. Kudela1, S. N. Kuznetsov2, and I. N. Myagkova2 1Institute of Experimental Physics, SAS, 043 53 Kosice

  1. Advanced Applications for e-ID Cards in Flanders ADAPID Deliverable D2

    E-Print Network [OSTI]

    Verbrugge, Clark

    CHUM Centre Hospitalier de lUniversit´e de Montreal CHUQ Centres Hospitaliers affili´es Universitaires Belgian Data Protection Act DRM Digital Rights Management DU Data Unavailability EBR Event Based Retention Technologies ID Identity 7 #12;IDA Information Dispersal Algorithm IDM Identity Management IOI Item Of Interest

  2. Radiologic Sciences BS, Computed Tomography Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Radiologic Sciences BS, Computed Tomography Emphasis, 2015-2016 Name ID# Date Course Number with Computers 3 DLS PSYC 101 or SOC 101 3 DLS Social Sciences course in a second field 3 MATH 143 or MATH 170 Imaging 3 RADSCI 431 CT Radiation Dose and Risk Analysis 1 RADSCI 450 Principles of Computed Tomography 3

  3. Bachelor of Science, Radiologic Sciences, Computed Tomography Emphasis, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Radiologic Sciences, Computed Tomography Emphasis, 2012-2013 Name ID# Date Interprofessional Capstone 1 HLTHST 431 Quality Issues in Healthcare 3 Successful completion of the COBE Computer 254 Applied Statistics with Computers 3 DLS PSYC 101 General Psychology or SOC 101 Intro to Sociology

  4. Chemistry BS, ACS Certified Professional Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Chemistry BS, ACS Certified Professional Emphasis, 2015-2016 Name ID# Date Course Number and Title 170 Calculus I 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 DLN PHYS 211, 211L Physics I course in a first field 3 DLS Social Sciences course in a second field 3 CHEM 112, 112L General Chemistry

  5. Chemistry BS, Secondary Education Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Chemistry BS, Secondary Education Emphasis, 2015-2016 Name ID# Date Course Number and Title Credits 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 DLN PHYS 211, 211L Physics I with Calculus & Lab of Education 3 DLS Social Sciences course in a second field 3 CHEM 112, 112L General Chemistry II & Lab 4 CHEM

  6. Chemistry BS, ACS Certified Biochemistry Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Chemistry BS, ACS Certified Biochemistry Emphasis, 2015-2016 Name ID# Date Course Number and Title 170 Calculus I 4 DLN CHEM 111, 111L General Chemistry I with Lab 4 DLN PHYS 211, 211L Physics I course in a first field 3 DLS Social Sciences course in a second field 3 CHEM 112, 112L General Chemistry

  7. Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 2)

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

    Seibert, M. Marvin; Ekeberg, Tomas

    2011-02-02

    These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 2 are the pattern and configuration files for the pattern showed in Figure 2b in the paper.

  8. Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 1)

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

    Seibert, M. Marvin; Ekeberg, Tomas; Maia, Filipe R.N.C.

    2011-02-02

    These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 1 are the pattern and configuration files for the pattern showed in Figure 2a in the paper.

  9. TEXAS GRANT Statement of Student Eligibility Last Name First Name Maverick Student ID

    E-Print Network [OSTI]

    Huang, Haiying

    TEXAS GRANT Statement of Student Eligibility 2014-2015 Last Name First Name Maverick Student ID Effective September 1, 2010, all institutions are required to collect a statement from each TEXAS Grant. TEXAS Grant funds will not disburse to your student account until the statement below is signed

  10. TEXAS GRANT Statement of Student Eligibility Last Name First Name Maverick Student ID

    E-Print Network [OSTI]

    Huang, Haiying

    TEXAS GRANT Statement of Student Eligibility 2015-2016 Last Name First Name Maverick Student ID Effective September 1, 2010, all institutions are required to collect a statement from each TEXAS Grant. TEXAS Grant funds will not disburse to your student account until the statement below is signed

  11. Economics, Social Science Secondary Education Emphasis BA, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Economics, Social Science Secondary Education Emphasis BA, 2015-2016 Name ID# Date Course Number CID ECON 421 Quantitative Methods in Economics 3 FF ECON 422 Econometrics 3 Upper-division economics. 14 Social science field other than economics (history, political science, or sociology) 21 Electives

  12. Firm Internal Structures and Patent Co-inventor Networks Paper ID: 1437

    E-Print Network [OSTI]

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    Firm Internal Structures and Patent Co-inventor Networks Paper ID: 1437 ABSTRACT Studies about, to the best of our knowledge, is the first study that compares patent co-inventor network of firms from to identify the potential relationship between patent co-inventor characteristics and these firms' internal

  13. Environmental and Occupational Health BS, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Environmental and Occupational Health BS, 2015-2016 Name ID# Date Course Number and Title Credits Communication 3 DLS ENVHLTH 102 Global Environmental Health 3 BIOL 192 or BIOL 228 Biology 4 BIOL 205 or BIOL Environmental Health Management 3 ENVHLTH 415 Occupational Safety and Health 3 ENVHLTH 416 Noise and Other

  14. Bachelor of Fine Arts, Visual Art, Ceramics Emphasis, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Fine Arts, Visual Art, Ceramics Emphasis, 2014-2015 Name ID# Date General Degree Introduction to Creative Photography 9 ART 221 Art Metals: Intro to Metalsmithing 3 ART 225 Ceramics 3 ART 226 Ceramics 3 ART 231 Beginning Sculpture 3 ART 325 Studio in Ceramics 6 ART 425 Studio in Ceramics 6 ART

  15. Bachelor of Fine Arts, Visual Art, Ceramics Emphasis, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Fine Arts, Visual Art, Ceramics Emphasis, 2013-2014 Name ID# Date General Degree area of emphasis requirements for any specific course recommendations 6 Ceramics Emphasis Three 2 251 Introduction to Creative Photography 9 ART 221 Art Metals: Intro to Metalsmithing ART 225 Ceramics

  16. Bachelor of Fine Arts, Visual Art, Ceramics Emphasis, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Fine Arts, Visual Art, Ceramics Emphasis, 2012-2013 Name ID# Date General Degree area of emphasis requirements for any specific course recommendations 6 Ceramics Emphasis Three 2 Ceramics 3 ART 226 Ceramics 3 ART 231 Beginning Sculpture 3 ART 325 Studio in Ceramics 6 ART 425 Studio

  17. Paper ID #10519 Sustainable Reform of "Introductory Dynamics" Driven by a Community of

    E-Print Network [OSTI]

    West, Matthew

    Paper ID #10519 Sustainable Reform of "Introductory Dynamics" Driven by a Community of Practice;Sustainable Reform of Introductory Dynamics Driven by a Community of Practice Abstract The Strategic to initiate reforms, SIIP aims to improve the sustainability of reforms by forming Communities of Practice (Co

  18. Library hours vary by semester; Check lib.usf.edu After midnight, USF ID required

    E-Print Network [OSTI]

    Meyers, Steven D.

    Library hours vary by semester; Check lib.usf.edu After midnight, USF ID required lib.usf.edu (813? To learn how to: Integrate the library into Canvas, Invite a librarian to join your course's Canvas site, or Request a tailored research guide or library research assignment, Contact: Susan Silver | ssilver

  19. OpenID Connect as a Security Service in Cloud-based Diagnostic Imaging Systems

    E-Print Network [OSTI]

    Sartipi, Kamran

    Sartipi1 , Hassan Sharghi1 , David Koff2 , Peter Bak3 1 Department of Electrical, Computer and Software Engineering, University of Ontario Institute of Technology, Oshawa, ON L1H 7K4, Canada 2 Department and Communication Systems) as well as mobile clients in the cloud ecosystem. Through using OpenID Connect as an open-source

  20. Alternative muon frontend for the International Design Study (IDS) A. Alekou, Imperial College, London, UK

    E-Print Network [OSTI]

    McDonald, Kirk

    Alternative muon front­end for the International Design Study (IDS) A. Alekou, Imperial College discuss alternative designs of the muon capture front end of the Neutrino Factory International Design measurements of neutrino oscillation parame­ ters. The present paper discusses alternative muon capture

  1. Bachelor of Business Administration, Information Technology Management, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Business Administration, Information Technology Management, 2012-2013 Name ID# Date toward ITM degree requirements. All courses used toward the Information Technology Management major must-3 ITM 225 Introduction to Programming ITM 305-305L Info Technology & Network Essentials & Lab ITM 310

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    E-Print Network [OSTI]

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    E-Print Network [OSTI]

    Barrash, Warren

    and Humanities 3-4 CHEM 112, 112L General Chemistry II & Lab 4 CHEM 211, 212 Analytical Chemistry I & Lab 5 CHEM Inorganic Chemistry 3 CHEM 411 Analytical Chemistry II 3 CHEM 412 Analytical Chemistry Laboratory II 2 CHEMBachelor of Science, Chemistry, Professional Emphasis, 2012-2013 Name ID# Date General Degree

  4. Bachelor of Science, Chemistry, ACS Certified Professional Emphasis, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    in a second field 3 CHEM 112, 112L General Chemistry II & Lab 4 CHEM 211, 212 Analytical Chemistry I & Lab 5 Inorganic Chemistry 3 CHEM 411 Analytical Chemistry II 3 CHEM 412 Analytical Chemistry Laboratory II 2 CHEMBachelor of Science, Chemistry, ACS Certified Professional Emphasis, 2014-2015 Name ID# Date

  5. Bachelor of Science, Chemistry, Secondary Education Emphasis, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    112, 112L General Chemistry II & Lab 4 CHEM 211, 212 Analytical Chemistry I & Lab 5 CHEM 307, 308 Inorganic Chemistry CHEM 411 Analytical Chemistry II CHEM 412 Analytical Chemistry Laboratory II CHEM 431Bachelor of Science, Chemistry, Secondary Education Emphasis, 2013-2014 Name ID# Date General

  6. Bachelor of Science, Chemistry, Professional Emphasis, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    CHEM 112, 112L General Chemistry II & Lab 4 CHEM 211, 212 Analytical Chemistry I & Lab 5 CHEM 307, 308 Inorganic Chemistry 3 CHEM 411 Analytical Chemistry II 3 CHEM 412 Analytical Chemistry Laboratory II 2 CHEMBachelor of Science, Chemistry, Professional Emphasis, 2013-2014 Name ID# Date General Degree

  7. Bachelor of Science, Chemistry, Secondary Education Emphasis, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

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    112, 112L General Chemistry II & Lab 4 CHEM 211, 212 Analytical Chemistry I & Lab 5 CHEM 307, 308 Inorganic Chemistry CHEM 411 Analytical Chemistry II CHEM 412 Analytical Chemistry Laboratory II CHEM 431Bachelor of Science, Chemistry, Secondary Education Emphasis, 2014-2015 Name ID# Date General

  8. Bachelor of Science, Chemistry, ACS certified Biochemistry Emphasis, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Literature and Humanities 3-4 CHEM 112, 112L General Chemistry II & Lab 4 CHEM 211, 212 Analytical Chemistry Inorganic Chemistry 3 CHEM 411 Analytical Chemistry II 3 CHEM 431, 432, 433 Biochemistry I, II and Lab 8 DLSBachelor of Science, Chemistry, ACS certified Biochemistry Emphasis, 2012-2013 Name ID# Date

  9. Bachelor of Science, Chemistry, ACS certified Biochemistry Emphasis, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    in a second field 3 CHEM 112, 112L General Chemistry II & Lab 4 CHEM 211, 212 Analytical Chemistry I & Lab 5 Inorganic Chemistry 3 CHEM 411 Analytical Chemistry II 3 CHEM 431, 432, 433 Biochemistry I, II and Lab 8Bachelor of Science, Chemistry, ACS certified Biochemistry Emphasis, 2013-2014 Name ID# Date

  10. Bachelor of Science, Chemistry, ACS certified Biochemistry Emphasis, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    in a second field 3 CHEM 112, 112L General Chemistry II & Lab 4 CHEM 211, 212 Analytical Chemistry I & Lab 5 Inorganic Chemistry 3 CHEM 411 Analytical Chemistry II 3 CHEM 431, 432, 433 Biochemistry I, II and Lab 8Bachelor of Science, Chemistry, ACS certified Biochemistry Emphasis, 2014-2015 Name ID# Date

  11. Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 1)

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

    Seibert, M. Marvin; Ekeberg, Tomas; Maia, Filipe R.N.C.

    These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 1 are the pattern and configuration files for the pattern showed in Figure 2a in the paper.

  12. Health Science Studies BS, Gerontology Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Health Science Studies BS, Gerontology Emphasis, 2015-2016 Name ID# Date Course Number and Title Terminology 3 HLTHST 202 Health Delivery Systems 3 HLTHST 215 Introduction to Health Informatics 3 HLTHST 300 Pathophysiology 4 HLTHST 314 Health Law and Ethics 3 CID HLTHST 382 Research Methods in Health 3 FF HLTHST 400

  13. Health Science Studies BS, Health Policy and Leadership Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Health Science Studies BS, Health Policy and Leadership Emphasis, 2015-2016 Name ID# Date Course 101 Medical Terminology 3 HLTHST 202 Health Delivery Systems 3 HLTHST 215 Introduction to Health Informatics 3 HLTHST 300 Pathophysiology 4 HLTHST 314 Health Law and Ethics 3 CID HLTHST 382 Research Methods

  14. Health Science Studies BS, Public Health Emphasis, 2015-2016 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Health Science Studies BS, Public Health Emphasis, 2015-2016 Name ID# Date Course Number and Title Terminology 3 HLTHST 202 Health Delivery Systems 3 HLTHST 215 Introduction to Health Informatics 3 HLTHST 300 Pathophysiology 4 HLTHST 314 Health Law and Ethics 3 CID HLTHST 382 Research Methods in Health 3 FF HLTHST 400

  15. Turning The Web Into An Effective Knowledge Repository INESC-ID / IST

    E-Print Network [OSTI]

    Ferreira, Paulo

    . This includes safely preserving static and dynamic content as well as performing stor- age managementTurning The Web Into An Effective Knowledge Repository Luis Veiga INESC-ID / IST Rua Alves Redol, 9 management, web proxy, detecting distributed cycles, distributed garbage collection. Abstract: To fulfill

  16. DETERMINATION OF REPORTABLE RADIONUCLIDES FOR DWPF SLUDGE BATCH 5 (MACROBATCH 6)

    SciTech Connect (OSTI)

    Bannochie, C.; Bibler, N.; Diprete, D.

    2010-02-04

    The Waste Acceptance Product Specifications (WAPS) 1.2 require that ''The Producer shall report the inventory of radionuclides (in Curies) that have half-lives longer than 10 years and that are, or will be, present in concentrations greater than 0.05 percent of the total inventory for each waste type indexed to the years 2015 and 3115''. As part of the strategy to comply with WAPS 1.2, the Defense Waste Processing Facility (DWPF) will report for each waste type, all radionuclides (with half-lives greater than 10 years) that have concentrations greater than 0.01 percent of the total inventory from time of production through the 1100 year period from 2015 through 3115. The initial listing of radionuclides to be included is based on the design-basis glass as identified in the Waste Form Compliance Plan (WCP) and Waste Form Qualification Report (WQR). However, it is required that this list be expanded if other radionuclides with half-lives greater than 10 years are identified that may meet the greater than 0.01% criterion for Curie content. Specification 1.6 of the WAPS, International Atomic Energy Agency (IAEA) Safeguards Reporting for High Level Waste (HLW), requires that the ratio by weights of the following uranium and plutonium isotopes be reported: U-233, U-234, U-235, U-236, U-238, Pu-238, Pu-239, Pu-240, Pu-241, and Pu-242. Therefore, the complete set of reportable radionuclides must also include this set of U and Pu isotopes. The DWPF is receiving radioactive sludge slurry from HLW Tank 40. The radioactive sludge slurry in Tank 40 is a blend of the heel from Tank 40 (Sludge Batch 4 (SB4)), Sludge Batch 5 (SB5) that was transferred to Tank 40 from Tank 51, and H-Canyon Np transfers completed after the start of processing. The blend of sludge in Tank 40 is also referred to as Macrobatch 6 (MB6). This report develops the list of reportable radionuclides and associated activities and determines the radionuclide activities as a function of time. The DWPF will use this list and the activities as one of the inputs for the development of the Production Records that relate to the radionuclide inventory. This work was initiated through Technical Task Request (TTR) HLW-DWPF-TTR-2008-0010; Rev. 2 entitled Sludge Batch 5 SRNL Shielded Cells Testing. Specifically, this report details results from performing Subtask II, 5 of the TTR and, in part, meets Deliverable 7 of the TTR. The work was performed following the Task Technical and Quality Assurance Plan (TTQAP), WSRC-RP-2008-00137, Rev. 2 and Analytical Study Plan (ASP), WSRC-RP-2008-00138, Rev. 2. In order to determine the reportable radionuclides for SB5 (MB6), a list of radioisotopes that may meet the criteria as specified by the Department of Energy's (DOE) WAPS was developed. All radioactive U-235 fission products and all radioactive activation products that could be in the SRS HLW were considered. In addition, all U and Pu isotopes identified in WAPS 1.6 were included in the list. This list was then evaluated and some isotopes excluded from the projection calculations. Based on measurements and analytical detection limits, twenty-six radionuclides have been identified as reportable for DWPF SB5 as specified by WAPS 1.2. The 26 reportable radionuclides are: Cl-36, Ni-59, Ni-63, Sr-90, Zr-93, Nb-93m, Tc-99, Sn-126, Cs-137, Sm-151, U-233, U-234, Np-237, U-238, Pu-238, Pu-239, Pu-240, Am-241, Pu-241, Pu-242, Am-242m, Am-243, Cm-244, Cm-245, Cm-246, Cf-251. Chlorine-36 is reported for the first time based on the upper bounding activity determined from the aqua regia digested sludge slurry. The WCP and WQR require that all of radionuclides present in the Design Basis glass be considered as the initial set of reportable radionuclides. For SB5 (MB6), all of the radionuclides in the Design Basis glass are reportable except for four radionuclides: Se-79, Pd-107, Cs-135, and Th-230. At no time through the year 3115 did any of these three radionuclides contribute to more than 0.01% of the radioactivity on a Curie basis. Two additional uranium isotopes (U-235 and -236) must be added to

  17. DETERMINATION OF REPORTABLE RADIONUCLIDES FOR DWPF SLUDGE BATCH 6 (MACROBATCH 7)

    SciTech Connect (OSTI)

    Bannochie, C.; Diprete, D.

    2011-06-01

    The Waste Acceptance Product Specifications (WAPS) 1.2 require that 'The Producer shall report the inventory of radionuclides (in Curies) that have half-lives longer than 10 years and that are, or will be, present in concentrations greater than 0.05 percent of the total inventory for each waste type indexed to the years 2015 and 3115'. As part of the strategy to comply with WAPS 1.2, the Defense Waste Processing Facility (DWPF) will report for each waste type, all radionuclides (with half-lives greater than 10 years) that have concentrations greater than 0.01 percent of the total inventory from time of production through the 1100 year period from 2015 through 3115. The initial listing of radionuclides to be included is based on the design-basis glass as identified in the Waste Form Compliance Plan (WCP) and Waste Form Qualification Report (WQR). However, it is required that this list be expanded if other radionuclides with half-lives greater than 10 years are identified that may meet the greater than 0.01% criterion for Curie content. Specification 1.6 of the WAPS, International Atomic Energy Agency (IAEA) Safeguards Reporting for High Level Waste (HLW), requires that the ratio by weights of the following uranium and plutonium isotopes be reported: U-233, U-234, U-235, U-236, U-238, Pu-238, Pu-239, Pu-240, Pu-241, and Pu-242. Therefore, the complete set of reportable radionuclides must also include this set of U and Pu isotopes. The DWPF is receiving radioactive sludge slurry from HLW Tank 40. The radioactive sludge slurry in Tank 40 is a blend of the heel from Sludge Batch 5 (SB5) with H-Canyon Np transfers completed after the start of processing SB5, and Sludge Batch 6 (SB6) that was transferred to Tank 40 from Tank 51. The blend of sludge in Tank 40 is also referred to as Macrobatch 7 (MB7). This report develops the list of reportable radionuclides and associated activities as a function of time. The DWPF will use this list and the activities as one of the inputs for the development of the Production Records that relate to radionuclide inventory. This work was initiated through Technical Task Request (TTR) HLW-DWPF-TTR-2009-0014; Rev. 2 entitled Sludge Batch 6 SRNL Shielded Cells Testing. Specifically, this report details results from performing Subtask III, Item 2 of the TTR and, in part, meets Deliverable 7 of the TTR. The work was performed following the Task Technical and Quality Assurance Plan (TTQAP), SRNL-RP-2009-00473, Rev. 15 and Analytical Study Plan (ASP), SRNL-RP-2009-00474, Rev. 1. In order to determine the reportable radionuclides for SB6 (MB7), a list of radioisotopes that may meet the criteria as specified by the Department of Energy's (DOE) WAPS was developed. All radioactive U-235 fission products and all radioactive activation products that could be in the SRS HLW were considered. In addition, all U and Pu isotopes identified in WAPS 1.6 were included in the list. This list was then evaluated and some isotopes were excluded from the projection calculations. Based on measurements and analytical detection limits, 30 radionuclides have been identified as reportable for DWPF SB6 as specified by WAPS 1.2. The WCP and WQR require that all of the radionuclides present in the Design Basis glass be considered as the initial set of reportable radionuclides. For SB6, all of the radionuclides in the Design Basis glass are reportable except for three radionuclides: Pd-107, Cs-135, and Th-230. At no time during the 1100-year period between 2015 and 3115 did any of these three radionuclides contribute to more than 0.01% of the radioactivity on a Curie basis. Two additional uranium isotopes (U-235 and -236) must be added to the list of reportable radionuclides in order to meet WAPS 1.6. All of the Pu isotopes (Pu-238, -239, -240, -241, and -242) and other U isotopes (U-233, -234, and -238) identified in WAPS 1.6 were already determined to be reportable according to WAPS 1.2 This brings the total number of reportable radionuclides for SB6 to 32. The radionuclide measurements made for SB6 are the most extensive condu

  18. Determination Of Reportable Radionuclides For DWPF Sludge Batch 7B (Macrobatch 9)

    SciTech Connect (OSTI)

    Crawford, C. L.; DiPrete, D. P.

    2013-08-22

    The Waste Acceptance Product Specifications (WAPS) 1.2 require that “The Producer shall report the inventory of radionuclides (in Curies) that have half-lives longer than 10 years and that are, or will be, present in concentrations greater than 0.05 percent of the total inventory for each waste type indexed to the years 2015 and 3115”. As part of the strategy to comply with WAPS 1.2, the Defense Waste Processing Facility (DWPF) will report for each waste type, all radionuclides (with half-lives greater than 10 years) that have concentrations greater than 0.01 percent of the total inventory from time of production through the 1100 year period from 2015 through 3115. The initial listing of radionuclides to be included is based on the design-basis glass as identified in the Waste Form Compliance Plan (WCP) and Waste Form Qualification Report (WQR). However, it is required that this list be expanded if other radionuclides with half-lives greater than 10 years are identified that may meet the greater than 0.01% criterion for Curie content. Specification 1.6 of the WAPS, International Atomic Energy Agency (IAEA) Safeguards Reporting for High Level Waste (HLW), requires that the ratio by weights of the following uranium and plutonium isotopes be reported: U-233, U-234, U-235, U-236, U-238, Pu-238, Pu-239, Pu-240, Pu-241, and Pu-242. Therefore, the complete set of reportable radionuclides must also include this set of U and Pu isotopes. The DWPF is receiving radioactive sludge slurry from HLW Tank 40. The radioactive sludge slurry in Tank 40 is a blend of the heel from Sludge Batch 7a (SB7a) and Sludge Batch 7b (SB7b) that was transferred to Tank 40 from Tank 51. The blend of sludge in Tank 40 is also referred to as Macrobatch 9 (MB9). This report develops the list of reportable radionuclides and associated activities as a function of time. The DWPF will use this list and the activities as one of the inputs for the development of the Production Records that relate to radionuclide inventory. This work was initiated through Technical Task Request (TTR) HLW-DWPF-TTR-2011-0004; Rev. 0 entitled Sludge Batch 7b Qualification Studies. Specifically, this report details results from performing Subtask II, Item 2 of the TTR and, in part, meets Deliverable 6 of the TTR. The work was performed following the Task Technical and Quality Assurance Plan (TTQAP), SRNL-RP-2011-00247, Rev. 0 and Analytical Study Plan (ASP), SRNL-RP-2011-00248, Rev. 0. In order to determine the reportable radionuclides for SB7b (MB9), a list of radioisotopes that may meet the criteria as specified by the Department of Energy’s (DOE) WAPS was developed. All radioactive U-235 fission products and all radioactive activation products that could be in the SRS HLW were considered. In addition, all U and Pu isotopes identified in WAPS 1.6 were included in the list. This list was then evaluated and some isotopes were excluded from the projection calculations. Based on measurements and analytical detection limits, 27 radionuclides have been identified as reportable for DWPF SB7b as specified by WAPS 1.2. The WCP and WQR require that all of the radionuclides present in the Design Basis glass be considered as the initial set of reportable radionuclides. For SB7b, all of the radionuclides in the Design Basis glass are reportable except for three radionuclides: Pd-107, Cs-135, and Th-230. At no time during the 1100-year period between 2015 and 3115 did any of these three radionuclides contribute to more than 0.01% of the radioactivity on a Curie basis. Two additional uranium isotopes (U-235 and -236) must be added to the list of reportable radionuclides in order to meet WAPS 1.6. All of the Pu isotopes (Pu-238, -239, -240, -241, and -242) and other U isotopes (U-233, -234, and -238) identified in WAPS 1.6 were already determined to be reportable according to WAPS 1.2 This brings the total number of reportable radionuclides for SB7b to 29. The radionuclide measurements made for SB7b are similar to those performed in the previous SB7a MB8 work. Some method development/refine

  19. DETERMINATION OF REPORTABLE RADIONUCLIDES FOR DWPF SLUDGE BATCH 7B (MACROBATCH 9)

    SciTech Connect (OSTI)

    Crawford, C. L.; Diprete, D. P.

    2014-05-01

    The Waste Acceptance Product Specifications (WAPS) 1.2 require that “The Producer shall report the inventory of radionuclides (in Curies) that have half-lives longer than 10 years and that are, or will be, present in concentrations greater than 0.05 percent of the total inventory for each waste type indexed to the years 2015 and 3115”. As part of the strategy to comply with WAPS 1.2, the Defense Waste Processing Facility (DWPF) will report for each waste type, all radionuclides (with half-lives greater than 10 years) that have concentrations greater than 0.01 percent of the total inventory from time of production through the 1100 year period from 2015 through 3115. The initial listing of radionuclides to be included is based on the design-basis glass as identified in the Waste Form Compliance Plan (WCP) and Waste Form Qualification Report (WQR). However, it is required that this list be expanded if other radionuclides with half-lives greater than 10 years are identified that may meet the greater than 0.01% criterion for Curie content. Specification 1.6 of the WAPS, International Atomic Energy Agency (IAEA) Safeguards Reporting for High Level Waste (HLW), requires that the ratio by weights of the following uranium and plutonium isotopes be reported: U-233, U-234, U-235, U-236, U-238, Pu-238, Pu-239, Pu-240, Pu-241, and Pu- 242. Therefore, the complete set of reportable radionuclides must also include this set of U and Pu isotopes. The DWPF is receiving radioactive sludge slurry from HLW Tank 40. The radioactive sludge slurry in Tank 40 is a blend of the heel from Sludge Batch 7a (SB7a) and Sludge Batch 7b (SB7b) that was transferred to Tank 40 from Tank 51. The blend of sludge in Tank 40 is also referred to as Macrobatch 9 (MB9). This report develops the list of reportable radionuclides and associated activities as a function of time. The DWPF will use this list and the activities as one of the inputs for the development of the Production Records that relate to radionuclide inventory. This work was initiated through Technical Task Request (TTR) HLW-DWPF-TTR-2011-0004; Rev. 0 entitled Sludge Batch 7b Qualification Studies. Specifically, this report details results from performing Subtask II, Item 2 of the TTR and, in part, meets Deliverable 6 of the TTR. The work was performed following the Task Technical and Quality Assurance Plan (TTQAP), SRNL-RP-2011-00247, Rev. 0 and Analytical Study Plan (ASP), SRNL-RP-2011-00248, Rev. 0. In order to determine the reportable radionuclides for SB7b (MB9), a list of radioisotopes that may meet the criteria as specified by the Department of Energy’s (DOE) WAPS was developed. All radioactive U- 235 fission products and all radioactive activation products that could be in the SRS HLW were considered. In addition, all U and Pu isotopes identified in WAPS 1.6 were included in the list. This list was then evaluated and some isotopes were excluded from the projection calculations. Based on measurements and analytical detection limits, 27 radionuclides have been identified as reportable for DWPF SB7b as specified by WAPS 1.2. The WCP and WQR require that all of the radionuclides present in the Design Basis glass be considered as the initial set of reportable radionuclides. For SB7b, all of the radionuclides in the Design Basis glass are reportable except for three radionuclides: Pd-107, Cs-135, and Th-230. At no time during the 1100- year period between 2015 and 3115 did any of these three radionuclides contribute to more than 0.01% of the radioactivity on a Curie basis. Two additional uranium isotopes (U-235 and -236) must be added to the list of reportable radionuclides in order to meet WAPS 1.6. All of the Pu isotopes (Pu-238, -239, -240, -241, and -242) and other U isotopes (U-233, -234, and -238) identified in WAPS 1.6 were already determined to be reportable according to WAPS 1.2 This brings the total number of reportable radionuclides for SB7b to 29. The radionuclide measurements made for SB7b are similar to those performed in the previous SB7a MB8 work. Some method development/ref

  20. Problem 13.2 From our output below, we can see that the batch factor is significant with p-value .004.

    E-Print Network [OSTI]

    Marzban, Caren

    (x, y, pch = 1, cex = 2, col = "red", lwd = 2) 2 #12;STAT 421 Homework 10 -2 -1 0 1 2 -0.100.000.10 13$fitted.values[model$residuals > 0.05] y = model$residuals[model$residuals > 0.05] points(x, y, pch = 1, cex = 2, col = "red", lwd.05] points(x, y, pch = 1, cex = 2, col = "red", lwd = 2) 1 2 3 4 5 -0.100.000.10 Fitted Values vs batch Batch