54,058 research outputs found
Midwest Transportation Consortium : 2006-2007 annual report.
No full textIntroduction: The Midwest Transportation Consortium (MTC) began year 8 by having the funding it receives from the Research and Innovative Technology Administration doubled, and by losing its regional grant to a consortium led by the University of Nebraska-Lincoln. Fortunately, the MTC later won a Tier I grant through a national competition. In the future, we plan to continue many of the programs we have conducted in the past, reduce our number of partners due to a decrease in resources, and more tightly define our theme.MTC partners during year 8 (all consortium universities) include the Universities of Missouri at Columbia (UM-C) and St. Louis (UMSL), Lincoln University, and the University of Northern Iowa (UNI). The University of Missouri at Kansas City (UMKC) is officially part of the consortium, but due to personnel changes has largely been inactive
Data Related to Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci
No full textHere we have included four sets of meta-analysis results: Meta-analysis of discovery and replication cohorts, combining genotyped Exome-chip and Axiom array content for (i) Smoking Initiation, (ii) Cigarettes per day, and (iii) Smoking Cessation, and (iv) meta-analysis of discovery cohorts for Pack Years.Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). SNV-trait associations with P < 5 × 10−8 in either analysis were taken forward for replication in up to 275,596 independent participants from UK Biobank. Lastly, a meta-analysis of the discovery and replication studies was performed. These novel loci will facilitate understanding the genetic aetiology of smoking behaviour and may lead to the identification of potential drug targets for smoking prevention and/or cessation.GSCAN; Consortium for Genetics of Smoking Behaviour; CHD Exome+ consortium. (2019). Data Related to Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/qfwg-tn13
Consortium Level Monitoring Principles
No full textIn the reformed CGIAR, monitoring responsibilities have been transferred to the Consortium, and evaluation is the responsibility of the independent evaluation arrangement. As per the Joint Agreement (JA) concluded between the Consortium and the Fund Council (FC) in April 2011, the Consortium Board (CB) has "the overall responsibility for monitoring research under the SRF and managing the monitoring system" (Article 22.1 of the JA). This includes monitoring the performance of the Centres and any Partners with respect to each CRP (Article 22.2 of the JA) and is independent of the origin of the funds. Consistent with this, the Consortium Constitution provides that the Consortium shall "develop, in cooperation with the Member Centers, approve and manage performance of the CRPs" (Article 5(2) (c)). The monitoring system described in this document thus concerns all the work carried out by the CRPs, regardless of their sources of funds
Enrichment and characterization of a bacteria consortium capable of heterotrophic nitrification and aerobic denitrification at low temperature
No full textNitrogen removal in wastewater treatment plants is usually severely inhibited under cold temperature. The present study proposes bioaugmentation using psychrotolerant heterotrophic nitrification-aerobic denitrification consortium to enhance nitrogen removal at low temperature. A functional consortium has been successfully enriched by stepped increase in DO concentration. Using this consortium, the specific removal rates of ammonia and nitrate at 10 degrees C reached as high as 3.1 mg N/(g SS h) and 9.6 mg N/ (g SS h), respectively. PCR-DGGE and clone library analysis both indicated a significant reduction in bacterial diversity during enrichment. Phylogenetic analysis based on nearly full-length 16S rRNA genes showed that Alphaproteobacteria. Deltaproteobacteria and particularly Bacteroidetes declined while Gammaproteobacteria (all clustered into Pseudomonas sp.) and Betaproteobacteria (mainly Rhodoferax ferrireducens) became dominant in the enriched consortium. It is likely that Pseudomonas spp. played a major role in nitrification and denitrification, while R. ferrireducens and its relatives utilized nitrate as both electron acceptor and nitrogen source. Crown Copyright (C) 2012 Published by Elsevier Ltd. All rights reserved.</p
CICE-Consortium/CICE: CICE Version 6.5.0
No full text<p>CICE6.5.0 updates CICE6.4.2 from September 2023 and includes Icepack1.4.0.</p><p>This release updates the C-grid solver to make it more robust. It also includes the first updates in Icepack from the E3SM integration. Some Icepack interfaces have changed. Other important changes include the frazil coupling implementation, addition of the 5-band snicar shortwave feature, and an update of the JRA55 tx1 grid forcing. Finally, the cicedynB directory has been removed and renamed to cicedyn.</p><p><strong>Important NOTES</strong></p><ul><li>This release improves the robustness of the C-grid solver and can be considered the first fully supported release of the C-grid feature.</li><li>Icepack was updated with non-backward-compatible interface changes. More details can be seen in the Icepack1.4.0 release notes.</li><li>CICE tx1 grid JRA55 forcing from prior versions was incorrect, this has been fixed.</li></ul><p><strong>Major Changes</strong></p><ul><li>Update areafact calculation remapping advection and set l_fixed_area to true for C grid solutions (<strong>This changes answers slightly with remap advection and improves the C-grid solutions</strong>) <a href="https://github.com/CICE-Consortium/CICE/pull/849">#849</a></li><li>Update Icepack to version with E3SM initial integration modification. Update CICE to be compatible. (<strong>This changes temperature values on restart files where ice does not exist but is bit-for-bit otherwise. This also changes some Icepack intefaces</strong>) <a href="https://github.com/CICE-Consortium/CICE/pull/879">#879</a><ul><li>Update snicar shortwave/aerosol optics implementation, add snicar tests</li><li>Add Tf argument to several Icepack subroutine interfaces</li><li>Cleanup/remove several static Icepack subroutine arguments</li><li>Update snow physics control</li><li>Update CICE driver and coupling layers as needed</li></ul></li><li>Update the tfrz_options settings for some configurations (<strong>This changes answers for those configurations</strong>) <a href="https://github.com/CICE-Consortium/CICE/pull/883">#883</a></li></ul><p><strong>Bug fixes</strong></p><ul><li>Update the JRA55 tx1 atm forcing dataset <a href="https://github.com/CICE-Consortium/CICE/pull/876">#876</a></li><li>Fix bug in lateral melt in Icepack (<strong>This changes all results</strong>) <a href="https://github.com/CICE-Consortium/CICE/pull/902">#902</a></li><li>Fix error in the computation of N and E grid values when TLON, TLAT, ANGLET are on the CICE grid file. <a href="https://github.com/CICE-Consortium/CICE/pull/899">#899</a></li><li>Fix the mesh check method in the nuopc/cmeps coupling layer <a href="https://github.com/CICE-Consortium/CICE/pull/873">#873</a></li></ul><p><strong>Enhancements</strong></p><ul><li>Add cpl_frazil and update use of update_ocn_f consistent with upgrades to Icepack <a href="https://github.com/CICE-Consortium/CICE/pull/889">#889</a></li><li>Add atm_data_version namelist to control JRA55 atm forcing file versioning <a href="https://github.com/CICE-Consortium/CICE/pull/876">#876</a></li><li>Update computation of intermediate quantities for the seabed stress (<strong>This changes answers for C-grid with seabed stress turned on</strong>) <a href="https://github.com/CICE-Consortium/CICE/pull/893">#893</a></li><li>Change nuopc/cmeps coupling layer to use CESM style field names <a href="https://github.com/CICE-Consortium/CICE/pull/869">#869</a></li><li>Add single channel test cases <a href="https://github.com/CICE-Consortium/CICE/pull/875">#875</a></li><li>Port to Perlmutter <a href="https://github.com/CICE-Consortium/CICE/pull/882">#882</a></li><li>Add CPP NO_SNICARHC to turn off hardcoded 5-band dEdd tables in Icepack. By default this is on. <a href="https://github.com/CICE-Consortium/CICE/pull/886">#886</a></li><li>Remove the cicedynB link, provided temporarily for backwards compatibility when the directory was renamed to cicedyn. <a href="https://github.com/CICE-Consortium/CICE/pull/887">#887</a></li><li>Update input data path on Derecho <a href="https://github.com/CICE-Consortium/CICE/pull/890">#890</a></li><li>Update Icepack <a href="https://github.com/CICE-Consortium/CICE/pull/879">#879</a>, <a href="https://github.com/CICE-Consortium/CICE/pull/886">#886</a>, <a href="https://github.com/CICE-Consortium/CICE/pull/902">#902</a>, <a href="https://github.com/CICE-Consortium/CICE/pull/903">#903</a></li></ul><p><strong>Documentation</strong></p><ul><li>Update version <a href="https://github.com/CICE-Consortium/CICE/pull/901">#901</a></li><li>Update documentation <a href="https://github.com/CICE-Consortium/CICE/pull/849">#849</a>, <a href="https://github.com/CICE-Consortium/CICE/pull/879">#879</a>, <a href="https://github.com/CICE-Consortium/CICE/pull/888">#888</a>, <a href="https://github.com/CICE-Consortium/CICE/pull/898">#898</a></li></ul>
SHui open data research platform
No full textData collected and revised by individual instutions of the Shui-Consortium. Publication by the EU-China Consortium SHui.For each data-file, the author (institution) of the file is given as “operator”.-- At project end, June 30th, 2022.-- For each data-file, the author/data owner for citation is given as “operator” and “contact”.-- Plot data as .csv; catchment data ad libitum.Spatial situation data: Plot data and catchment data available; country, latitude, and longitude coordinates given.-- Temporal situation data: Long-term and single-season data available. Start and end date for each data file given.CC BY-SA. No embargo. The release on the Shui download site and CSIC repository implies expiration of any embargo delivered by the data owner.Project Co-ordinators: Dr. Jose Alfonso Gómez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU).This data set contains data from the SHui open-data platform for sharing long-term agricultural experiments aimed to optimizing yield and soil and water. Data and additional material are available under https://shui.boku.ac.at/shui/public/startAlphanumeric data measured at hydrologic and agronomical experiments (e.g., plant development, soil properties, hydrology, erosion, management).Further information on the data, project, partners, and publications under https://www.shui-eu.org/EU-China Consortium SHui: European Union Project 773903 and Chinese MOST.Peer reviewe
Midwest Transportation Consortium : 2004-2005 annual report.
No full textIntroduction: The Midwest Transportation Consortium (MTC) recently completed its sixth year ofoperation. The MTC has become an established portion of the research and educationalprograms at ISU and its partner universities. The MTC continues to emphasize itsprimary focus of developing human capital. For example, this semester, Fall, 2005, ISUhas graduate scholars in its educational program. However, we also recognize that thefederal grant is an opportunity to build programs at our respective universities thatcontinue after the U.S. DOT UTCP may end. An example of building a long lastingprogram is the University of Missouri \u2013 St. Louis\u2019 (UMSL) and its development of atransportation Ph.D. program in their business college. Admittedly, this program couldhave been started regardless, but Dr. Ray Mundy, Director of UMSL\u2019s TransportationScholars Program, believes that the MTC support of the transportation educationalprogram at UMSL was the essential component in establishing a Ph.D. program.At ISU, the MTC has been instrumental in establishing two research and outreachprograms, and both have themes that are related to the MTC\u2019s theme of \u201cTransportationSystem Management and Operation.\u201d The Center for Weather Impacts on Mobility andSafety (C-WIMS) was recently established, and the Center for Road InfrastructureManagement and Operations (RIMO) is in the process of being established. The MTChas a critical role in establishing each of these two programs.As part of the on-going MTC program, we have established an effective network thatpromotes the education of future transportation professionals and the development of newknowledge on how to manage transportation infrastructure and services in a moresustainable manner. The MTC has a track record of developing outstanding students;these students are now becoming leaders in the private sector, government, and academia.The MTC has also supported the development of an extensive research portfolio relatedto sustainable transportation asset management. More research projects are in thepipeline. Finally, the MTC has dedicated itself to the dissemination of asset managementresearch results through an ongoing technology transfer program. This documentprovides a progress for the latest fiscal year of operation of the MTC, which ran fromOctober 2004 through September 2005
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
No full textThe Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way
A Bivariate Genome-Wide Approach to Metabolic Syndrome STAMPEED Consortium
No full textOBJECTIVE The metabolic syndrome (MetS) is defined as concomitant disorders of lipid and glucose metabolism, central obesity, and high blood pressure, with an increased risk of type 2 diabetes and cardiovascular disease. This study tests whether common genetic variants with pleiotropic effects account for some of the correlated architecture among five metabolic phenotypes that define MetS. RESEARCH DESIGN AND METHODS Seven studies of the STAMPEED consortium, comprising 22,161 participants of European ancestry, underwent genome-wide association analyses of metabolic traits using a panel of ∼2.5 million imputed single nucleotide polymorphisms (SNPs). Phenotypes were defined by the National Cholesterol Education Program (NCEP) criteria for MetS in pairwise combinations. Individuals exceeding the NCEP thresholds for both traits of a pair were considered affected. RESULTS Twenty-nine common variants were associated with MetS or a pair of traits. Variants in the genes LPL, CETP, APOA5 (and its cluster), GCKR (and its cluster), LIPC, TRIB1, LOC100128354/MTNR1B, ABCB11, and LOC100129150 were further tested for their association with individual qualitative and quantitative traits. None of the 16 top SNPs (one per gene) associated simultaneously with more than two individual traits. Of them 11 variants showed nominal associations with MetS per se. The effects of 16 top SNPs on the quantitative traits were relatively small, together explaining from ∼9% of the variance in triglycerides, 5.8% of high-density lipoprotein cholesterol, 3.6% of fasting glucose, and 1.4% of systolic blood pressure. CONCLUSIONS Qualitative and quantitative pleiotropic tests on pairs of traits indicate that a small portion of the covariation in these traits can be explained by the reported common genetic variants
Arabic Treebank : Part 2 v 3.1
No full textArabic Treebank: Part 2 (ATB2) v 3.1 , Linguistic Data Consortium (LDC) catalog number LDC2011T09 and isbn 1-58563-590-1, was developed at LDC. It consists of 501 newswire stories from Ummah Press with part-of-speech (POS), morphology, gloss and syntactic treebank annotation in accordance with the Penn Arabic Treebank (PATB) Guidelines developed in 2008 and 2009
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