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Detection of changes in allelic frequencies due to selection on complex traits in the genomes of pigs from four genetic lines using generation proxy selection mapping

Most economically relevant traits in pig breeding programs are controlled by numerous causal variants spread across the genome and undergo selection pressure to improve the genetic merit of commercial pigs.  As a result, small changes in allele frequency over relatively short time scales are induced at these loci.  Identification of genomic loci that exhibit directional

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CANCER PRIORITY BY RACE

Cancer is one of the most common and deadly diseases and its incidence is increasing. There are over one hundred types of cancer and they have a varied impact on society and the individuals affected. Racial disparities play a role in the outcome of many diseases. How does race impact the types of cancer that

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De-novo SuperTranscriptome assembly from the nodal root growth zone of maize inbred line FR697

Certain cultivars of maize show increased resistance to water deficit conditions by maintenance of root growth. To better understand the molecular mechanisms related to this adaption, nodal root growth zone samples were collected from the reference inbred line B73 and inbred line FR697, which exhibits a relatively greater ability to maintain root elongation under water

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Design and Evaluation of a Longitudinal Method to Measure Physician Burnout in the Clinical Workflow

Burnout, a condition characterized by emotional exhaustion, listlessness, and an inability to cope, is demonstrably more prevalent among healthcare providers than other occupations.  Burnout is fundamentally a longitudinal problem, but traditional instruments for measurement such as the Maslach Burnout Inventory (MBI) and the Professional Fulfillment Index (PFI) are time-consuming, expensive, and complex to administer, making

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Analysis and Dissemination of School-based Immunization Data to Improve Public Health Outcomes in Missouri

In Missouri, immunization is required for both public and private school students against common vaccine-preventable diseases (VPDs) including polio, pertussis, varicella, measles, mumps, and rubella; however, parents may forego vaccination for their child by claiming medical or religious exemptions. Like many states across the US, Missouri is experiencing increasing vaccine exemption rates. However, health officials

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Regulation of gene expression by DNA methylation with cytotoxic T lymphocytes evaluation in consensus molecular subtypes of colorectal cancer

Background: Low cytotoxic T lymphocyte (CTLs) infiltration in colorectal cancer (CRC) tumors is a challenge to treatment with immune checkpoint inhibitors. Consensus molecular subtypes (CMS) classify patients based on tumor attributes, and CMS1 patients include the majority of patients with high CTL infiltration and “inflamed” tumors. Epigenetic modification plays a critical role in gene expression

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Leveraging Unsupervised Machine Learning To Find Trends In The Textual Warnings Generated Using Multi-Modality Time Series Sensor Data

With technology and the internet of things (IoT), smart health care is no longer a dream. The devices that wouldn’t usually be generally expected to have an internet connection can communicate with the network independent of human action, and this is referred to as the internet of things. These devices, in our case, are the

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Information Extraction Framework for Facilitating the Assessment of the Quality of Radiology Interpretations

Assessing the quality of imaging interpretations requires that the results of radiological interpretations be compared with those of subsequent surgical-pathology results, when available. The manual process is inherently slow, tedious and expensive, and unless systematic errors occur in the interpretations, discrepancies are unlikely to be detected. Classical computational methods using Natural Language Processing entail using

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Abnormal liver function and adverse health outcomes in COVID-19: A multicenter, retrospective analysis of 14,872 patients from the Cerner Real-World DataTM de-identified COVID-19 cohort

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been associated with liver impairment and abnormalities in liver function tests.  However, associations between hepatic impairment and patient health outcomes have not been well-studied in large cohorts.  In this US-based, multicenter retrospective cohort study, we analyze the impact of abnormalities in liver function

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Methods for Measuring Geodiversity in Large Overhead Imagery Datasets

This research introduces some of the first geo-computational methods to address a key gap in the artificial intelligence (AI) and big data literature as it relates to the geosciences and remote sensing: the lack of understanding of the global feature representativeness of labels in large remotely-sensed imagery (RSI) datasets. Issues of data fairness, heterogeneity and

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