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The past decade has seen an increasing number of applications of deep learning (DL) techniques to biomedical fields, especially in neuroimaging-based analysis.Such DL-based methods are generally data-intensive and require a large number of training instances, which might be infeasible to acquire from a single acquisition site, especially for data,
Abstract Impairment of neuromuscular function in neurological disorders leads to reductions in muscle force, which may Hair Loss Treatments lower quality of life.Rehabilitation robots that are equipped with sensors are able to quantify the extent of muscle force impairment and to monitor a patient during the process of neurorehabilitation with sens
Abstract Background Much of the research to-date on food parenting has evaluated typical use of various parent feeding practices via questionnaire.The Real-Time Parent Feeding Practices Measurement survey was developed for use within an Ecological Momentary Assessment (EMA) protocol to capture momentary use of parent feeding practices in real-time.
Abstract Background The pathophysiology of lateral epicondylitis (LE) is unclear.Recent evidence suggests some common musculoskeletal disorders may have a basis in cardiovascular disease (CVD) risk factors.Thus, we examined CVD risks as potential LE risks.Methods Workers (n = 1824) were enrolled in two large prospective studies and underwent struct