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A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images.
Sci Rep
December 2024
Department of Electrical Engineering, College of Engineering, Taif University, P.O. BOX 11099, 21944, Taif, Saudi Arabia.
Weather recognition is crucial due to its significant impact on various aspects of daily life, such as weather prediction, environmental monitoring, tourism, and energy production. Several studies have already conducted research on image-based weather recognition. However, previous studies have addressed few types of weather phenomena recognition from images with insufficient accuracy.
View Article and Find Full Text PDFElucidating governing factors of PFAS removal by polyamide membranes using machine learning and molecular simulations.
Nat Commun
December 2024
School of Civil & Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
Per- and polyfluoroalkyl substances (PFASs) have recently garnered considerable concerns regarding their impacts on human and ecological health. Despite the important roles of polyamide membranes in remediating PFASs-contaminated water, the governing factors influencing PFAS transport across these membranes remain elusive. In this study, we investigate PFAS rejection by polyamide membranes using two machine learning (ML) models, namely XGBoost and multimodal transformer models.
View Article and Find Full Text PDFLife-Space Mobility Is Related to Loneliness Among Living-Alone Older Adults: Longitudinal Analysis With Motion Sensor Data.
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NIA-Layton Aging & Alzheimer's Disease Research Center, Oregon Health & Science University, Portland, Oregon, USA.
Background: Life-space mobility can be a behavioral indicator of loneliness. This study examined the association between life-space mobility measured with motion sensors and weekly vs. annually reported loneliness.
View Article and Find Full Text PDFThe distribution and severity of lower-limb hypertonicity and spasticity differentially impacts walking speed in people with neurological injuries.
Disabil Rehabil
December 2024
Department of Physiotherapy, Epworth HealthCare, Melbourne, Australia.
Purpose: To investigate the relationship between the distribution and severity of hypertonicity and spasticity on walking speed in people with neurological injuries.
Material/methods: This cross-sectional observation cohort study used the Modified Ashworth Scale (MAS) and Modified Tardieu Scale (MTS) to assess hypertonicity and spasticity of the gastrocnemius, soleus, hamstrings and quadriceps. Participants were classified as having a distal (gastrocnemius and/or soleus), proximal (hamstrings and/or quadriceps) or mixed distribution of hypertonicity or spasticity.
Status quo and influencing factors of job burnout among residents in standardized training.
Front Public Health
December 2024
Department of Radiation Oncology, The First Affiliated Hospital of Yan'an University, Yan'an, Shaanxi, China.
Background: With the continuous progress and in-depth implementation of the reform of the medical and health care system, alongside the gradual enhancement of the standardized training framework for residents, such training has become a crucial avenue for cultivating high-level clinicians and improving medical quality. However, due to various constraints and limitations in their own capabilities, residents undergoing standardized training are often susceptible to job burnout during this process. Numerous factors contribute to job burnout, which is closely associated with depression and anxiety.
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