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Human-robot interactions help in various industries and enhance the user experience in different ways. However, constant safety monitoring is needed in environments where human users are at risk, such as rehabilitation therapy, space exploration, or mining. One way to improve safety and performance in robotic tasks is to include biological information of the user in the control system. This can help regulate the energy that is delivered to the user. In this work, we estimate the energy absorbing capabilities of the human arm, using the metric Excess of Passivity (EOP). EOP data from healthy subjects were obtained based on Forcemyography of the subjects' arm, to expand the sources of biological information and improve estimations.Clinical relevance- This protocol can help determine the ability of rehabilitation patients to withstand robotic stimulation with high amplitudes of therapeutic forces, as needed in assistive therapy.
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http://dx.doi.org/10.1109/EMBC44109.2020.9175410 | DOI Listing |
Phys Chem Chem Phys
September 2025
Department of Chemistry, Graduate School of Science and Technology, Kwansei Gakuin University, 1 Gakuen Uegahara, Sanda, Hyogo 669-1330, Japan.
Hybrid systems (HSs) of quantum dots (QDs) and molecular photoswitches exhibit luminescence switching of QDs based on energy transfer and have garnered attention for their potential applications in sensors and optical memories. In HSs, the chemical composition, such as the number of attached ligands, is inherently distributed, posing challenges for extracting the energy transfer process from the QDs to a single acceptor molecule. The stochastic model, assuming a Poisson distribution for the number of acceptors, proves to be an effective approach for extracting the process.
View Article and Find Full Text PDFNature
September 2025
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Smoke from extreme wildfires in Canada adversely affected air quality in many regions in 2023. Here we use satellite observations, machine learning and a chemical transport model to quantify global and regional PM (particulate matter less than 2.5 μm in diameter) exposure and human health impacts related to the 2023 Canadian wildfires.
View Article and Find Full Text PDFInt J Sport Nutr Exerc Metab
September 2025
Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia.
Technological innovations can provide cyclists and their support team additional data. These data have potential to improve understanding of performance determinants and could be used to identify and tailor nutritional strategies to improve cycling performance. This potential, however, is dependent on the quality, interpretation, and practical use of the data generated.
View Article and Find Full Text PDFAm J Clin Nutr
September 2025
Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea; Department of Health Policy and Management, College of Health Sciences, Korea University, Seoul, Republic of Korea. Electronic address: hannahoh@
Background: The widely-used anthropometric indices, such as body mass index (BMI) and waist circumference (WC), have limitations in their use as indicators of body composition. Recent studies proposed weight-adjusted waist index (WWI=WC/√(body weight)) as an alternative index for body composition but it is unclear whether WWI reflects body composition in different racial/ethnic groups.
Objective: We examined the associations of WWI, BMI, and WC with dual-energy x-ray absorptiometry (DEXA)-measured body composition, biomarkers (fasting blood glucose, HDL-cholestrol, LDL-cholestrol, triglyceride), and handgrip strength.
Phys Med Biol
September 2025
Institute for Instrumentation in Molecular Imaging (i3M), Consejo Superior de Investigaciones Cientificas, Camino de Vera s/n, Valencia, Valencia, 46022, SPAIN.
A key challenge in PET systems is collecting large amount of data with the most accurate information-time, energy, and position-to produce high-resolution images while limiting the number of channels to reduce costs and improve data collection efficiency. The new Ultra-High-performance Brain (UHB) scanner under development aims to tackle this issue, using a semi-monolithic detector that combines pixelated arrays and monolithic designs, along with signal multiplexing techniques. Approach.
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