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| http://dx.doi.org/10.1128/cmr.00095-24 | DOI Listing |
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Projecting future snow changes at kilometer scale for adaptation using machine learning and a CMIP6 multi-model ensemble.
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Universidad de Santiago de Chile, Santiago, Chile.
Assessing future snow cover changes is challenging because the high spatial resolution required is typically unavailable from climate models. This study, therefore, proposes an alternative approach to estimating snow changes by developing a super-spatial-resolution downscaling model of snow depth (SD) for Japan using a convolutional neural network (CNN)-based method, and by downscaling an ensemble of models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) dataset. After assessing the coherence of the observed reference SD dataset with independent observations, we leveraged it to train the CNN downscaling model; following its evaluation, we applied the trained model to CMIP6 climate simulations.
View Article and Find Full Text PDFA randomized control trial to compare Quiet Eye training efficacy to traditional technical training with undergraduate student nurses' peripheral intravenous cannulation performance: a protocol.
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January 2025
Department of Psychology, Faculty of Arts, University of Calgary, Alberta, Canada; Community Health Sciences, Faculty of Medicine, University of Calgary, Alberta, Canada; Ward of the 21st Century, Cumming School of Medicine, University of Calgary, Alberta, Canada.
Introduction: Peripheral intravenous cannulation (PIVC) is a common and complex procedure with low first-attempt success rates, causing patient suffering and increased healthcare costs. Quiet Eye (QE) training, a gaze-focused approach, has shown promise in improving procedural PIVC skills. We will examine the effectiveness of traditional technical training (TT) and QE training (QET) on student nurse PIVC performance.
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Emeritus, Department of Microbiology & Immunology, Stanford Medical School, Stanford University, Stanford, CA 94305, USA.
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View Article and Find Full Text PDFAdvances in Drug Targeting, Drug Delivery, and Nanotechnology Applications: Therapeutic Significance in Cancer Treatment.
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Department of Medicinal Plants, Faculty of Agriculture and Natural Resources, Arak University, Arak 38156-8-8349, Iran.
In the 21st century, thanks to advances in biotechnology and developing pharmaceutical technology, significant progress is being made in effective drug design. Drug targeting aims to ensure that the drug acts only in the pathological area; it is defined as the ability to accumulate selectively and quantitatively in the target tissue or organ, regardless of the chemical structure of the active drug substance and the method of administration. With drug targeting, conventional, biotechnological and gene-derived drugs target the body's organs, tissues, and cells that can be selectively transported to specific regions.
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Department of Technology of Chemical-Pharmaceutical and Cosmetic Substances, D. Mendeleev University of Chemical Technology of Russia, 125047 Moscow, Russia.
Nanotechnology is a promising and rapidly developing area in the 21st century, which affects various fields of science: physics, chemistry, biology, engineering, microelectronics, and medicine [...
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