34 research outputs found

    The use of simulation as a novel experiential learning module in undergraduate science pathophysiology education

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    Teaching of pathophysiology concepts is a core feature in health professional programs, but it can be challenging in undergraduate medical/biomedical science education, which is often highly theoretical when delivered by lectures and pen-and-paper tutorials. Authentic case studies allow students to apply their theoretical knowledge but still require good imagination on the part of the students. Lecture content can be reinforced through practical learning experiences in clinical environments. In this study, we report a new approach using clinical simulation within a Human Pathophysiology course to enable undergraduate science students to see "pathophysiology in action" in a clinical setting. Students role played health professionals, and, in these roles, they were able to interact with each other and the manikin "patient," take a medical history, perform a physical examination and consider relevant treatments. Evaluation of students' experiences suggests that using clinical simulation to deliver case studies is more effective than traditional paper-based case studies by encouraging active learning and improving the understanding of physiological concepts. © 2016 The American Physiological Society

    Cheetah:a computational toolkit for cybergenetic control

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    Abstract Advances in microscopy, microfluidics, and optogenetics enable single-cell monitoring and environmental regulation and offer the means to control cellular phenotypes. The development of such systems is challenging and often results in bespoke setups that hinder reproducibility. To address this, we introduce Cheetah, a flexible computational toolkit that simplifies the integration of real-time microscopy analysis with algorithms for cellular control. Central to the platform is an image segmentation system based on the versatile U-Net convolutional neural network. This is supplemented with functionality to robustly count, characterize, and control cells over time. We demonstrate Cheetah’s core capabilities by analyzing long-term bacterial and mammalian cell growth and by dynamically controlling protein expression in mammalian cells. In all cases, Cheetah’s segmentation accuracy exceeds that of a commonly used thresholding-based method, allowing for more accurate control signals to be generated. Availability of this easy-to-use platform will make control engineering techniques more accessible and offer new ways to probe and manipulate living cells

    Use of high-frequency ultrasound to study the prenatal development of cranial neural tube defects and hydrocephalus in Gldc-deficient mice

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    Objective: We used non-invasive high-frequency ultrasound (HFUS) imaging to investigate embryonic brain development in a mouse model for neural tube defects (NTDs) and non-ketotic hyperglycinemia (NKH). Method: Using HFUS, we imaged embryos carrying loss of function alleles of Gldc encoding glycine decarboxylase, a component of the glycine cleavage system in mitochondrial folate metabolism, which is known to be associated with cranial NTDs and NKH in humans. We serially examined the same litter during the second half of embryonic development and quantified cerebral structures. Genotype was confirmed using PCR. Histology was used to confirm ultrasound findings. Results: High-frequency ultrasound allowed in utero detection of two major brain abnormalities in Gldc-deficient mouse embryos, cranial NTDs (exencephaly) and ventriculomegaly (corresponding with the previous finding of post-natal hydrocephalus). Serial ultrasound allowed individual embryos to be analysed at successive gestational time points. From embryonic day 16.5 to 18.5, the lateral ventricle volume reduced in wild-type and heterozygous embryos but increased in homozygous Gldc-deficient embryos. Conclusion: Exencephaly and ventriculomegaly were detectable by HFUS in homozygous Gldc-deficient mouse embryos indicating this to be an effective tool to study CNS development. Longitudinal analysis of the same embryo allowed the prenatal onset and progression of ventricle enlargement in Gldc-deficient mice to be determined

    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

    Smooth contour coding with minimal description length active grid segmentation techniques

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    International audienceWe analyze the influence of the contour coding term in segmentation techniques based on active grids and on the minimum description length (MDL) principle. These segmentation techniques have been developed up to now with a contour coding term adapted to polygonal objects. However, this approach can lead to degraded segmentation results for smooth contours of objects which can be observed for example in geoscience, medicine or microscopy. We demonstrate that an appropriate choice of the contour coding term can improve segmentation results with MDL active grid approaches in the presence of regions with smooth boundaries. This improvement opens a large class of application domains and still allows one to obtain low computational time

    Ohio History Fall 2018

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    https://kent-islandora.s3.us-east-2.amazonaws.com/node/10121/OH-v125n2-thumb.jpgOHIO HISTORY Contents for Volume 125, Number 2, Fall 2018 Contributors ...... 4 Editor’s Note ...... 5 &nbsp; Pioneers and Land on the Ohio Frontier Mansel G. Blackford ...... 7 Forgotten Frontiersman of the Ohio Valley: Simon Kenton’s Early Years Arthur Andrew Savery ...... 28 Collections Note: Neill Family Letters, 1849–68 Transcribed and edited by Samuel R. Phillips ...... 55 &nbsp; Book Reviews ...... 70 On the cover: Pioneers Crossing the Ohio River. (Courtesy of the Ohio History Connection, Image ALO4712)</p
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