47 research outputs found

    Effect of a Hydrolyzed Yeast Product on Cow Behavior, Animal Performance, and Hair Coat Score in Cows Grazing Pastures Containing Endophyte-Infected Tall Fescue

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    https://scholarworks.moreheadstate.edu/student_scholarship_posters/1243/thumbnail.jp

    Changes in forage measures through the course of a grazing season

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    https://scholarworks.moreheadstate.edu/student_scholarship_posters/1237/thumbnail.jp

    Effective and safe proton pump inhibitor therapy in acid-related diseases – A position paper addressing benefits and potential harms of acid suppression

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    Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

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    Funder: NCI U24CA211006Abstract: The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts

    A Comparison of Computational Efficiencies of Stochastic Algorithms in Terms of Two Infection Models

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    In this paper, we investigate three particular algorithms: A sto- chastic simulation algorithm (SSA), and explicit and implicit tau-leaping al- gorithms. To compare these methods, we used them to analyze two infection models: A Vancomycin-resistant enterococcus (VRE) infection model at the population level, and a Human Immunode ciency Virus (HIV) within host in- fection model. While the rst has a low species count and few transitions, the second is more complex with a comparable number of species involved. The relative effciency of each algorithm is determined based on computational time and degree of precision required. The numerical results suggest that all three algorithms have the similar computational effciency for the simpler VRE model, and the SSA is the best choice due to its simplicity and accuracy. In addition, we have found that with the larger and more complex HIV model, implementation and modication of tau-Leaping methods are preferred

    Simulation Algorithms for Continuous Time Markov Chain Models

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    Continuous time Markov chains are often used in the literature to model the dynamics of a system with low species count and uncertainty in transitions. In this paper, we investigate three particular algorithms that can be used to numerically simulate continuous time Markov chain models (a stochastic simulation algorithm, explicit and implicit tau-leaping algorithms). To compare these methods, we used them to analyze two stochastic infection models with different level of complexity. One of these models describes the dynamics of Vancomycin-Resistant Enterococcus (VRE) infection in a hospital, and the other is for the early infection of Human Immunodeficiency Virus (HIV) within a host. The relative efficiency of each algorithm is determined based on computational time and degree of precision required. The numerical results suggest that all three algorithms have similar computational efficiency for the VRE model due to the low number of species and small number of transitions. However, we found that with the larger and more complex HIV model, implementation and modification of tau-Leaping methods are preferred

    2-Cyanoazetidines and Azetidinium Ions: Scaffolds for Molecular Diversity

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    Ring strain in azetidines and azetidinium ions can be efficiently used to promote ring-expansion and ring-opening reactions, and this renders these four-membered heterocycles ideal scaffolds for diversity oriented synthesis. This microreview focuses on 2-cyanoazetidines, which are easily prepared from β-amino alcohols through a ring-closing reaction involving C–C bond formation. The azetidines can be readily expanded to five- to eight-membered nitrogen heterocycles after suitable functionalization and/or activation. Alternatively, N-alkylated derivatives, namely, azetidinium ions, are easily prepared and displayed rich reactivity as new electrophilic building blocks and as sources of nitrogen ylides.SCOPUS: re.jFLWINinfo:eu-repo/semantics/publishe
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