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Changes in hairiness of woven fabrics at the production and finishing stages.

Sci Rep

January 2025

Department of Material Engineering, Faculty of Textile Engineering, Technical University of Liberec, Studentská 2, 461 17, Liberec 1, Czech Republic.

Advances in the textile industry have led to a shift from using empirical experience to design fabrics to using computer-aided systems. Objective fabric properties related to appearance, feel, and comfort are predicted based on the physical models. The look and feel of fabrics are greatly influenced by their complex surface topology, which can be defined by two main properties: roughness and hairiness.

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Background: Twelve bacterial families were identified as global priority pathogens by the World Health Organization in 2017, recognizing the greatest threat they pose to human health and the declining antibiotic efficacy. Robotics has emerged as a swift and contactless tool for disinfecting bacterial surface contamination in healthcare facilities, however, head-to-head comparison of disinfection efficacy of robotic versus manual disinfections is limited. This study aimed at comparing how robotic disinfection performs over manual disinfection against the global priority pathogens in the healthcare setting.

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FMCW-based contactless heart rate monitoring.

Sci Rep

January 2025

College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, Gansu, China.

Heart disease is a significant global health issue. Traditional methods for heart rate monitoring typically require close physical contact, which limits the continuity and convenience of monitoring. To achieve real-time, non-contact heartbeat monitoring, researchers have introduced millimeter-wave radar technology.

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Multi-gate neuron-like transistors based on ensembles of aligned nanowires on flexible substrates.

Nano Converg

January 2025

Bendable Electronics and Sustainable Technologies (BEST) Group, Electrical and Computer Engineering Department, Northeastern University, Boston, MA, 02115, USA.

The intriguing way the receptors in biological skin encode the tactile data has inspired the development of electronic skins (e-skin) with brain-inspired or neuromorphic computing. Starting with local (near sensor) data processing, there is an inherent mechanism in play that helps to scale down the data. This is particularly attractive when one considers the huge data produced by large number of sensors expected in a large area e-skin such as the whole-body skin of a robot.

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The development of optical sensors for label-free quantification of cell parameters has numerous uses in the biomedical arena. However, using current optical probes requires the laborious collection of sufficiently large datasets that can be used to calibrate optical probe signals to true metabolite concentrations. Further, most practitioners find it difficult to confidently adapt black box chemometric models that are difficult to troubleshoot in high-stakes applications such as biopharmaceutical manufacturing.

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