68 research outputs found

    PulseNet: Deep Learning ECG-signal classification using random augmentation policy and continous wavelet transform for canines

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    Evaluating canine electrocardiograms (ECG) require skilled veterinarians, but current availability of veterinary cardiologists for ECG interpretation and diagnostic support is limited. Developing tools for automated assessment of ECG sequences can improve veterinary care by providing clinicians real-time results and decision support tools. We implement a deep convolutional neural network (CNN) approach for classifying canine electrocardiogram sequences as either normal or abnormal. ECG records are converted into 8 second Lead II sequences and classified as either normal (no evidence of cardiac abnormalities) or abnormal (presence of one or more cardiac abnormalities). For training ECG sequences are randomly augmented using RandomAugmentECG, a new augmentation library implemented specifically for this project. Each chunk is then is converted using a continuous wavelet transform into a 2D scalogram. The 2D scalogram are then classified as either normal or abnormal by a binary CNN classifier. Experimental results are validated against three boarded veterinary cardiologists achieving an AUC-ROC score of 0.9506 on test dataset matching human level performance. Additionally, we describe model deployment to Microsoft Azure using an MLOps approach. To our knowledge, this work is one of the first attempts to implement a deep learning model to automatically classify ECG sequences for canines.Implementing automated ECG classification will enhance veterinary care through improved diagnostic performance and increased clinic efficiency

    Landscape of stress: Tree mortality influences physiological stress and survival in a native mesocarnivore

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    Climate change and anthropogenic modifications to the landscape can have both positive and negative effects on an animal. Linking landscape change to physiological stress and fitness of an animal is a fundamental tenet to be examined in applied ecology. Cortisol is a glucocorticoid hormone that can be used to indicate an animal’s physiological stress response. In the Sierra Nevada Mountains of California, fishers (Pekania pennanti) are a threatened mesocarnivore that have been subjected to rapid landscape changes due to anthropogenic modifications and tree mortality related to a 4-year drought. We measured cortisol concentrations in the hair of 64 fishers (41 females, 23 males) captured and radio-collared in the Sierra National Forest, California. We addressed two main questions: (1) Is the physiological stress response of fishers influenced by anthropogenic factors, habitat type, canopy cover, and tree mortality due to drought in their home range? (2) Does the physiological stress response influence survival, reproduction, or body condition? We examined these factors within a fisher home range at 3 scales (30, 60, 95% isopleths). Using model selection, we found that tree mortality was the principle driver influencing stress levels among individual fishers with female and male fishers having increasing cortisol levels in home ranges with increasing tree mortality. Most importantly, we also found a link between physiological stress and demography where female fishers with low cortisol levels had the highest annual survival rate (0.94), whereas females with medium and high cortisol had lower annual survival rates, 0.78 and 0.81, respectively. We found no significant relationships between cortisol levels and body condition, male survival, or litter size. We concluded that tree mortality related to a 4-year drought has created a “landscape of stress” for this small, isolated fisher population

    The trans-ancestral genomic architecture of glycemic traits

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    Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 x 10(-8)), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution. A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets.Peer reviewe

    Characterizing Habitat Associations and the Effects of Competition on Bald Eagle and Osprey Recovery in the Conterminous United States and Wisconsin

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    As species recover from bottlenecks, during which population size is very low, a swath of new habitat becomes available as the population expands. With increased niche availability, expanding populations may alter their habitat associations leading to the question are habitat associations at population lows good predictors of habitat associations at population highs. I examined occurrences and habitat associations of Bald Eagles (Haliaeetus leucocephalus) and Osprey (Pandion haliaetus) from their near extinction in the conterminous U.S. in 1980 to successful recovery by 2017 to (1) determine if occurrences and colonizations were predictable throughout the recovery (2) examine if their relationships to habitat associations throughout recovery, (3) determine if habitat associations at newly colonized sites were similar to habitat associations at the population low points in the 1980s. I analyzed occurrences of both species from 1980-2017 on 4202 North American Breeding Bird Survey routes. I also calculated the minimum distance to conspecifics in the previous decade. I parameterized logistic regressions for each species to characterize habitat association and evaluated them using the True Skill Statistic. I also attempted to use these models to predict colonizations in each decade and evaluated performance based on Area Under the Curve. Both species expanded their 1 2 distribution in the US considerably since the 1980s. My models of Bald Eagles and Osprey habitat associations for each decade had minimum TSS of 0.3. Bald Eagles altered their habitat associations and by 2017 were occupying areas with less water and more grassland, while Osprey habitat associations remained unchanged. In 2010-2017, Bald Eagles colonized routes with less water (-11%) and more shrubland (+9%) than the routes they occupied in 1980. In the same period, Osprey colonized routes with more agriculture (+4%) than routes they occupied in 1980s. The colonization AUC decreased over four decades from 0.81 to 0.67 for Bald Eagles, and from 0.81 to 0.73 for Osprey. I was able to characterize occurrences for both species, but unable to reliably predict where colonizations would occur. My work highlights how the process of population recovery varies between species with similar ecological niches and showcases the ability of rare species to expand into habitat that is unexpected based on habitat associations apparent during a population low

    Update on extracorporeal photopheresis (ECP)

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    Landscape use by fishers (\u3ci\u3ePekania pennanti\u3c/i\u3e): core areas differ in habitat than the entire home range

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    Home ranges have long been studied in animal ecology. Core areas may be used at a greater proportion than the rest of the home range, implying the core contains dependable resources. The Pacific fisher (Pekania pennanti (Erxleben, 1777)) is a rare mesocarnivore occupying a small area in the Sierra Nevada Mountains, California, USA. Once statewide, fishers declined in the 1900s due to trapping, habitat fragmentation, and development. Recently, drought induced by climate change may be affecting this population. We examined space use of fishers in their core versus their home range for levels of anthropogenic modifications (housing density, road density, silvicultural treatments), habitat types, and tree mortality. We found core areas contained more late-successional forest and minimal human activity compared with their territory. Their core had higher levels of dense canopy and higher amounts of conifer cover, while minimizing the amount of buildings, developed habitat, and low canopy cover. Fishers may in effect be seeking refugia by minimizing their exposure to these elements in their core. Conserving landscape components used by fishers in their core areas will be important for the persistence of this isolated population. Les domaines vitaux sont Ă©tudiĂ©s depuis longtemps en Ă©cologie animale. Les aires principales pourraient ĂȘtre utilisĂ©es en plus grande proportion que le reste du domaine vital, ce qui sous-entend qu’elles renferment des ressources fiables. Le pĂ©kan (Pekania pennanti (Erxleben, 1777)) est un mĂ©socarnivore rare qui occupe une petite rĂ©gion de la chaĂźne des Sierra Nevada, en Californie (États-Unis). Autrefois prĂ©sents dans l’ensemble de l’État, les pĂ©kans ont connu un dĂ©clin au 20e siĂšcle causĂ© par le piĂ©geage, la fragmentation de leurs habitats et l’amĂ©nagement du territoire. Des sĂ©cheresses rĂ©centes induites par les changements climatiques pourraient avoir une incidence sur cette population. Nous avons comparĂ© l’utilisation de l’espace par les pĂ©kans dans leurs aires principales et dans leurs domaines vitaux pour diffĂ©rents degrĂ©s de modifications d’origine humaine (densitĂ© de logement, densitĂ© de routes, traitements sylvicoles), types d’habitats et taux de mortalitĂ© des arbres. Nous avons constatĂ© que les aires principales des pĂ©kans renferment plus de forĂȘts en fin de succession et trĂšs peu d’activitĂ©s humaines comparativement Ă  l’ensemble de leur territoire. Les aires principales prĂ©sentent de plus grandes proportions de canopĂ©e dense et de plus grandes quantitĂ©s de couvert de conifĂšres, alors que la quantitĂ© de bĂątiments, les habitats amĂ©nagĂ©s et le couvert forestier bas y sont trĂšs limitĂ©s. Les pĂ©kans pourraient en fait chercher des refuges en minimisant leur exposition Ă  ces Ă©lĂ©ments dans leur aire principale. La conservation d’élĂ©ments du paysage utilisĂ©s par les pĂ©kans dans leurs aires principales sera importante pour la persistance de cette population isolĂ©e
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