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J Neuroeng Rehabil
January 2025
Toledo Physiotherapy Research Group (GIFTO), Faculty of Physiotherapy and Nursing of Toledo, Universidad de Castilla-La Mancha, Toledo, Spain.
Background: Although transcutaneous spinal cord stimulation (tSCS) has been suggested as a safe and feasible intervention for gait rehabilitation, no studies have determined its effectiveness compared to sham stimulation.
Objective: To determine the effectiveness of tSCS combined with robotic-assisted gait training (RAGT) on lower limb muscle strength and walking function in incomplete spinal cord injury (iSCI) participants.
Methods: A randomized, double-blind, sham-controlled clinical trial was conducted.
BMC Nutr
January 2025
Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
Background: Recent studies suggest a link between dietary fat quality and obesity. Genetic risk scores (GRS) can predict obesity risk based on genetic factors. This study investigates how GRS and fatty acid quality affect visceral adiposity index (VAI) and body adiposity index (BAI) in overweight and obese women.
View Article and Find Full Text PDFBMC Public Health
January 2025
Centre for Prevention, Lifestyle and Health, National Institute for Public Health and The Environment, Bilthoven, The Netherlands.
Background: A new paradigm of hybrid working exists, with most office workers sharing their work between the office and home office environment. Working from home increases time spent or prolonged sitting, which is associated with an increased risk of chronic disease. Interventions to reduce sitting time, specifically designed for both the office and home-office environments, are required to address this growing public health issue.
View Article and Find Full Text PDFNat Commun
January 2025
School of Safety Science, Tsinghua University, Beijing, China.
Ultrafine particles (UFPs) under 100 nm pose significant health risks inadequately addressed by traditional mass-based metrics. The WHO emphasizes particle number concentration (PNC) for assessing UFP exposure, but large-scale evaluations remain scarce. In this study, we developed a stacking-based machine learning framework integrating data-driven and physical-chemical models for a national-scale UFP exposure assessment at 1 km spatial and 1-hour temporal resolutions, leveraging long-term standardized PNC measurements in Switzerland.
View Article and Find Full Text PDFNat Commun
January 2025
School of Emergent Soft Matter, South China University of Technology, Guangzhou, China.
Radioactive molecular iodine (I) is a critical volatile pollutant generated in nuclear energy applications, necessitating sensors that rapidly and selectively detect low concentrations of I vapor to protect human health and the environment. In this study, we design and prepare a three-component sensing material comprising reduced graphene oxide (rGO) as the substrate, silver iodide (AgI) particles as active sites, and polystyrene sulfonate as an additive. The AgI particles enable reversible adsorption and conversion of I molecules into polyiodides, inducing substantial charge density variation in rGO.
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