28 research outputs found

    The Vehicle, Fall 2010

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    Table of ContentsPoetryFill Your Mouth with BerriesAaron Whitepage 1 RelationsJamie Van Allenpage 2 ExodusMegan Marie Olsonpage 4 Single FileRashelle McNairpage 7 The Aesthetic Value of the Moon, by CandlelightKathy Deckerpage 15 FactalsGabrielle Keigherpage 16 Day 5David Jacksonpage 17 Esta LloviendoHeather Gerrishpage 19 FacebrokeDarrin Gordonpage 23 5:08 pmNikki Riechertpage 24 Train TunnelsAshton Tembypage 34 VariationsKathy Deckerpage 35 WantRashelle McNairpage 36 FriendshipScott Maypage 37 Golden LandJacob Swansonpage 38 Last Night I DreamtAshton Tembypage 39 Smallest GestureScott Maypage 44 Somebody\u27s Hut in MexicoGinamarie Lobiancopage 45 Some Things You Just Can\u27t Tap Dance AroundClint Walkerpage 53 Prose Lamparus de DiosAaron Whitepage 8 Learning CurveScott Maypage 18 RocktonKatelyn Pfaffpage 20 Fatal DistractionSolomohn Ennispage 25 Noodle NonsenseGabrielle Keigherpage 41 AntarcticaMichael Payeapage 46 Special Features James K Johnson Award Winners: God is GraciousJohn Klyczekpage 57 To My Ever Growing ChestJennifer Hindespage 74 God\u27s ScapegoatJennifer Hindespage 76 Rape (Verb, Noun)Jennifer Hindespage 78 Featured Artist: Ashton Tembypage 81 Editor\u27s Pick: The Shooter by Patrick Hallpage 87 Chapbook 2010 Author:Kim Hunter-Perkinspage 114 About the Contributorspage 118 About the Editorspage 122https://thekeep.eiu.edu/vehicle/1092/thumbnail.jp

    The Vehicle, Fall 2010

    Get PDF
    Table of ContentsPoetryFill Your Mouth with BerriesAaron Whitepage 1 RelationsJamie Van Allenpage 2 ExodusMegan Marie Olsonpage 4 Single FileRashelle McNairpage 7 The Aesthetic Value of the Moon, by CandlelightKathy Deckerpage 15 FactalsGabrielle Keigherpage 16 Day 5David Jacksonpage 17 Esta LloviendoHeather Gerrishpage 19 FacebrokeDarrin Gordonpage 23 5:08 pmNikki Riechertpage 24 Train TunnelsAshton Tembypage 34 VariationsKathy Deckerpage 35 WantRashelle McNairpage 36 FriendshipScott Maypage 37 Golden LandJacob Swansonpage 38 Last Night I DreamtAshton Tembypage 39 Smallest GestureScott Maypage 44 Somebody\u27s Hut in MexicoGinamarie Lobiancopage 45 Some Things You Just Can\u27t Tap Dance AroundClint Walkerpage 53 Prose Lamparus de DiosAaron Whitepage 8 Learning CurveScott Maypage 18 RocktonKatelyn Pfaffpage 20 Fatal DistractionSolomohn Ennispage 25 Noodle NonsenseGabrielle Keigherpage 41 AntarcticaMichael Payeapage 46 Special Features James K Johnson Award Winners: God is GraciousJohn Klyczekpage 57 To My Ever Growing ChestJennifer Hindespage 74 God\u27s ScapegoatJennifer Hindespage 76 Rape (Verb, Noun)Jennifer Hindespage 78 Featured Artist: Ashton Tembypage 81 Editor\u27s Pick: The Shooter by Patrick Hallpage 87 Chapbook 2010 Author:Kim Hunter-Perkinspage 114 About the Contributorspage 118 About the Editorspage 122https://thekeep.eiu.edu/vehicle/1092/thumbnail.jp

    Genome-wide association study identifies multiple susceptibility loci for pancreatic cancer

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    We performed a multistage genome-wide association study including 7,683 individuals with pancreatic cancer and 14,397 controls of European descent. Four new loci reached genome-wide significance: rs6971499 at 7q32.3 (LINC-PINT, per-allele odds ratio (OR) = 0.79, 95% confidence interval (CI) 0.74-0.84, P = 3.0 x 10(-12)), rs7190458 at 16q23.1 (BCAR1/CTRB1/CTRB2, OR = 1.46, 95% CI 1.30-1.65, P = 1.1 x 10(-10)), rs9581943 at 13q12.2 (PDX1, OR = 1.15, 95% CI 1.10-1.20, P = 2.4 x 10(-9)) and rs16986825 at 22q12.1 (ZNRF3, OR = 1.18, 95% CI 1.12-1.25, P = 1.2 x 10(-8)). We identified an independent signal in exon 2 of TERT at the established region 5p15.33 (rs2736098, OR = 0.80, 95% CI 0.76-0.85, P = 9.8 x 10(-14)). We also identified a locus at 8q24.21 (rs1561927, P = 1.3 x 10(-7)) that approached genome-wide significance located 455 kb telomeric of PVT1. Our study identified multiple new susceptibility alleles for pancreatic cancer that are worthy of follow-up studies

    AI is a viable alternative to high throughput screening: a 318-target study

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    : High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNetÂź convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNetÂź model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∌99% of the euchromatic genome and is accurate to an error rate of ∌1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    Genome-wide association study identifies multiple susceptibility loci for pancreatic cancer

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    We performed a multistage genome-wide association study (GWAS) including 7,683 individuals with pancreatic cancer and 14,397 controls of European descent. Four new loci reached genome-wide significance: rs6971499 at 7q32.3 (LINC-PINT; per-allele odds ratio [OR] = 0.79; 95% confidence interval [CI] = 0.74–0.84; P = 3.0×10−12), rs7190458 at 16q23.1 (BCAR1/CTRB1/CTRB2; OR = 1.46; 95% CI = 1.30–1.65; P = 1.1×10−10), rs9581943 at 13q12.2 (PDX1; OR = 1.15; 95% CI = 1.10–1.20; P = 2.4×10−9), and rs16986825 at 22q12.1 (ZNRF3; OR = 1.18; 95% CI = 1.12–1.25; P = 1.2×10−8). An independent signal was identified in exon 2 of TERT at the established region 5p15.33 (rs2736098; OR = 0.80; 95% CI = 0.76–0.85; P = 9.8×10−14). We also identified a locus at 8q24.21 (rs1561927; P = 1.3×10−7) that approached genome-wide significance located 455 kb telomeric of PVT1. Our study has identified multiple new susceptibility alleles for pancreatic cancer worthy of follow-up studies

    Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats

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    In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capacities for early disease detection, rapid response, disease control, and risk reduction. From the outset, the EPT approach was inclusive of social science research methods designed to understand the contexts and behaviors of communities living and working at human-animal-environment interfaces considered high-risk for virus emergence. Using qualitative and quantitative approaches, PREDICT behavioral research aimed to identify and assess a range of socio-cultural behaviors that could be influential in zoonotic disease emergence, amplification, and transmission. This broad approach to behavioral risk characterization enabled us to identify and characterize human activities that could be linked to the transmission dynamics of new and emerging viruses. This paper provides a discussion of implementation of a social science approach within a zoonotic surveillance framework. We conducted in-depth ethnographic interviews and focus groups to better understand the individual- and community-level knowledge, attitudes, and practices that potentially put participants at risk for zoonotic disease transmission from the animals they live and work with, across 6 interface domains. When we asked highly-exposed individuals (ie. bushmeat hunters, wildlife or guano farmers) about the risk they perceived in their occupational activities, most did not perceive it to be risky, whether because it was normalized by years (or generations) of doing such an activity, or due to lack of information about potential risks. Integrating the social sciences allows investigations of the specific human activities that are hypothesized to drive disease emergence, amplification, and transmission, in order to better substantiate behavioral disease drivers, along with the social dimensions of infection and transmission dynamics. Understanding these dynamics is critical to achieving health security--the protection from threats to health-- which requires investments in both collective and individual health security. Involving behavioral sciences into zoonotic disease surveillance allowed us to push toward fuller community integration and engagement and toward dialogue and implementation of recommendations for disease prevention and improved health security
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