1,559 research outputs found

    Murine Colitis Modeling using Dextran Sulfate Sodium (DSS)

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    Colitis can occur from viral or bacterial infections, ischemic insult, or autoimmune disorders; most notably Ulcerative Colitis and the colonic variant of Crohn’s Disease - Crohn’s Colitis. Acute colitis may present with abdominal pain and distention, malabsorption, diarrhea, hematochezia and mucus in the stool. We are beginning to understand the complex interactions between the environment, genetics, and epithelial barrier dysfunction in Inflammatory Bowel Disease and animal models of colitis have been essential in advancing our understanding of this disease. One popular model involves supplementing the drinking water of mice with low-molecular weight Dextran Sodium Sulfate (DSS), resulting in epithelial damage and a robust inflammatory response in the colon lasting several days 1.Variations of this approach can be used to model acute injury, acute injury followed by repair, and repeated cycles of DSS interspersed with recovery modeling chronic inflammatory diseases 2. After a single four-day treatment of 3% DSS in drinking water, mice show signs of acute colitis including weight loss, bloody stools, and diarrhea. Mice are euthanized at the conclusion of the treatment course and at necropsy dissected colons are processed and can be 'Swiss rolled" 3 to allow microscopic analysis of the entire colon or infused with formalin as "sausages" to allow macroscopic analysis. Tissue is then embedded in paraffin, sectioned, and stained for histologic review

    Learning Bodily and Temporal Attention in Protective Movement Behavior Detection

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    For people with chronic pain, the assessment of protective behavior during physical functioning is essential to understand their subjective pain-related experiences (e.g., fear and anxiety toward pain and injury) and how they deal with such experiences (avoidance or reliance on specific body joints), with the ultimate goal of guiding intervention. Advances in deep learning (DL) can enable the development of such intervention. Using the EmoPain MoCap dataset, we investigate how attention-based DL architectures can be used to improve the detection of protective behavior by capturing the most informative temporal and body configurational cues characterizing specific movements and the strategies used to perform them. We propose an end-to-end deep learning architecture named BodyAttentionNet (BANet). BANet is designed to learn temporal and bodily parts that are more informative to the detection of protective behavior. The approach addresses the variety of ways people execute a movement (including healthy people) independently of the type of movement analyzed. Through extensive comparison experiments with other state-of-the-art machine learning techniques used with motion capture data, we show statistically significant improvements achieved by using these attention mechanisms. In addition, the BANet architecture requires a much lower number of parameters than the state of the art for comparable if not higher performances.Comment: 7 pages, 3 figures, 2 tables, code available, accepted in ACII 201

    Chronic-Pain Protective Behavior Detection with Deep Learning

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    In chronic pain rehabilitation, physiotherapists adapt physical activity to patients' performance based on their expression of protective behavior, gradually exposing them to feared but harmless and essential everyday activities. As rehabilitation moves outside the clinic, technology should automatically detect such behavior to provide similar support. Previous works have shown the feasibility of automatic protective behavior detection (PBD) within a specific activity. In this paper, we investigate the use of deep learning for PBD across activity types, using wearable motion capture and surface electromyography data collected from healthy participants and people with chronic pain. We approach the problem by continuously detecting protective behavior within an activity rather than estimating its overall presence. The best performance reaches mean F1 score of 0.82 with leave-one-subject-out cross validation. When protective behavior is modelled per activity type, performance is mean F1 score of 0.77 for bend-down, 0.81 for one-leg-stand, 0.72 for sit-to-stand, 0.83 for stand-to-sit, and 0.67 for reach-forward. This performance reaches excellent level of agreement with the average experts' rating performance suggesting potential for personalized chronic pain management at home. We analyze various parameters characterizing our approach to understand how the results could generalize to other PBD datasets and different levels of ground truth granularity.Comment: 24 pages, 12 figures, 7 tables. Accepted by ACM Transactions on Computing for Healthcar

    Improved Efficacy of a Gene Optimised Adenovirus-based Vaccine for Venezuelan Equine Encephalitis Virus

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    <p>Abstract</p> <p>Background</p> <p>Optimisation of genes has been shown to be beneficial for expression of proteins in a range of applications. Optimisation has increased protein expression levels through improved codon usage of the genes and an increase in levels of messenger RNA. We have applied this to an adenovirus (ad)-based vaccine encoding structural proteins (E3-E2-6K) of Venezuelan equine encephalitis virus (VEEV).</p> <p>Results</p> <p>Following administration of this vaccine to Balb/c mice, an approximately ten-fold increase in antibody response was elicited and increased protective efficacy compared to an ad-based vaccine containing non-optimised genes was observed after challenge.</p> <p>Conclusion</p> <p>This study, in which the utility of optimising genes encoding the structural proteins of VEEV is demonstrated for the first time, informs us that including optimised genes in gene-based vaccines for VEEV is essential to obtain maximum immunogenicity and protective efficacy.</p

    Medical, Recreational, and Mixed Marijuana Users: An Examination of Physical and Mental Health Correlates

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    Marijuana use in the U.S. doubled between 2001 and 2013, largely due to increases in legalization laws. Little attention, however, is given to the type of marijuana user (e.g., recreational or medical), particularly with health outcomes. Our study used data from the 2017 Behavioral Risk Factor Surveillance System (N=5,349) to examine physical health, mental health, and demographic variables by marijuana user type (including non-marijuana users). In physical health, the non-marijuana group was generally healthier, getting the most sleep, lowest BMI, and lowest alcoholic consumption. Medical users self-reported the poorest physical health, BMI, and sleep. Similar results were found in the mental health category between non-marijuana and medical users. Future longitudinal research is needed to investigate whether medical users, over time, increase their marijuana use to include recreational use (i.e., become mixed users) as a method of coping with the combination of health, emotional, and quality of life problems. Although this is among the first nationally representative studies to examine unique marijuana user groups, future studies should track user groups over time to understand the implications of transitioning into medical or recreational user groups

    Quantifying Downstream, Vertical and Lateral Variation in Fluvial Deposits : Implications From the Huesca Distributive Fluvial System

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    Acknowledgments Author Ben Martin thanks the University of Glasgow for providing funding for this project through the ‘Stressed Environments’ scholarship fund. The SAFARI consortium (https://safaridb.com/home) are thanked for providing virtual outcrop models that have been analyzed within this paper. Two anonymous reviewers are thanked for their thorough and constructive comments on this paper.Peer reviewedPublisher PD

    Effect of Heat Shock, Pretreatment and Hsp70 Copy Number on Wing Development in Drosophila Melanogaster

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    Naturally Occurring Heat Shock (HS) during Pupation Induces Abnormal Wing Development in Drosophila; We Examined Factors Affecting the Severity of This Induction. the Proportion of HS-Surviving Adults with Abnormal Wings Varied with HS Duration and Intensity, and with the Pupal Age or Stage at HS Administration. Pretreatment (PT), Mild Hyperthermia Delivered Before HS, Usually Protected Development Against HS. Gradual Heating Resembling Natural Thermal Regimes Also Protected Wing Development Against Thermal Disruption. Because of the Roles of the Wings in Flight and Courtship and in View of Natural Thermal Regimes that Drosophila Experience, Both HS-Induction of Wing Abnormalities and its Abatement by PT May Have Marked Effects on Drosophila Fitness in Nature. Because PT is Associated with Expression of Heat-Inducible Molecular Chaperones Such as Hsp70 in Drosophila, We Compared Thermal Disruption of Wing Development among Hsp70 Mutants as Well as among Strains Naturally Varying in Hsp70 Levels. Contrary to Expectations, Lines or Strains with Increased Hsp70 Levels Were No More Resistant to HS-Disruption of Wing Development Than Counterparts with Lower Hsp70 Levels. in Fact, Wing Development Was More Resistant to HS in Hsp70 Deletion Strains Than Control Strains. We Suggest that, While High Hsp70 Levels May Aid Cells in Surviving Hyperthermia, High Levels May Also Overly Stimulate or Inhibit Numerous Signaling Pathways Involved in Cell Proliferation, Maturation and Programmed Death, Resulting in Developmental Failure
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