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Projecting future snow changes at kilometer scale for adaptation using machine learning and a CMIP6 multi-model ensemble.
Sci Total Environ
January 2025
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 PDFBeyond Survival: Unveiling Psychological and Social Adaptation After Visceral Transplantation.
J Clin Nurs
January 2025
Institute of Health and Care Sciences, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Aim: To explore the meaning of adaptation after visceral transplantation in terms of patient experiences, symptoms, self-efficacy, transplant-specific and mental well-being.
Design: A convergent parallel mixed-methods study, consisting of interviews and generic as well as transplant-specific questionnaires. Results were integrated using meta-inference.
Time-Series Change Detection Using KOMPSAT-5 Data with Statistical Homogeneous Pixel Selection Algorithm.
Sensors (Basel)
January 2025
Satellite Application Division, Korea Aerospace Research Institute (KARI), Daejeon 34133, Republic of Korea.
For change detection in synthetic aperture radar (SAR) imagery, amplitude change detection (ACD) and coherent change detection (CCD) are widely employed. However, time-series SAR data often contain noise and variability introduced by system and environmental factors, requiring mitigation. Additionally, the stability of SAR signals is preserved when calibration accounts for temporal and environmental variations.
View Article and Find Full Text PDFArtificial Intelligence in Imaging for Personalized Management of Coronary Artery Disease.
J Clin Med
January 2025
First Department of Cardiology, Medical University of Warsaw, Banacha 1a, 02-097 Warsaw, Poland.
The precision of imaging and the number of other risk-assessing and diagnostic methods are constantly growing, allowing for the uptake of additional strategies for individualized therapies. Personalized medicine has the potential to deliver more adequate treatment, resulting in better clinical outcomes, based on each patient's vulnerability or genetic makeup. In addition to increased efficiency, costs related to this type of procedure can be significantly lower.
View Article and Find Full Text PDFA Qualitative Exploration of Relations Between Salutogenesis and Persistent Music Performance Among Refugees Resettled in the United States.
Int J Environ Res Public Health
December 2024
Department of Communication Disorders and Occupational Therapy, College of Education and Health Professions, University of Arkansas, Fayetteville, AR 72701, USA.
In its broadest meaning, salutogenesis denotes an orientation toward the origins and assets for positive health, as opposed to the origins and risk factors associated with disease (i.e., pathogenesis).
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