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High performance COVID-19 screening using machine learning.
Tunis Med
January 2025
Laboratory of viruses, vectors and hosts: LR20IPT10, Institut Pasteur de Tunis, University of Tunis El Manar, 13, Place Pasteur, 1002 Tunis Belvédère, Tunisia.
Since the World Health Organization declared the Coronavirus Disease 2019 (COVID-19) pandemic as an international concern of public health emergency in the early 2020, several strategies have been initiated in many countries to prevent healthcare services breakdown and collapse of healthcare structures. The most important strategy was the increased testing, diagnosis, isolation, contact tracing to identify, quarantine and test close contacts. In this context, finding a rapid, reliable and affordable tool for COVID-19 screening was the main challenge to address the pandemic.
View Article and Find Full Text PDFMuscle Fiber-Inspired High-Performance Strain Sensors for Motion Recognition and Control.
Langmuir
January 2025
Henan Province Engineering Technology Research Center of MEMS Manufacturing and Applications, School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China.
The rapid development of wearable technology, flexible electronics, and human-machine interaction has brought about revolutionary changes to the fields of motion analysis and physiological monitoring. Sensors for detecting human motion and physiological signals have become a hot topic of current research. Inspired by the muscle fiber structure, this paper proposed a highly stable strain sensor that was composed of stretchable Spandex fibers (SPF), multiwalled carbon nanotubes (MWCNTs), and silicone rubber (Ecoflex).
View Article and Find Full Text PDFEffect of Postoperative Neck-Shaft and Anteversion Angles on Biomechanical Outcomes in Proximal Femoral Osteotomy: An In Silico Study.
J Orthop Res
January 2025
Australian Centre for Precision Health and Technology (PRECISE), Griffith University, Gold Coast, Australia.
Effective surgical planning is crucial for maximizing patient outcomes following complex orthopedic procedures such as proximal femoral osteotomy. In silico simulations can be used to assess how surgical variations in proximal femur geometry, such as femur neck-shaft and anteversion angles, affect postoperative system mechanics. This study investigated the sensitivity of femur mechanics to postoperative neck-shaft angles, anteversion angles, and osteotomy contact areas using patient-specific finite element analysis informed by neuromusculoskeletal models.
View Article and Find Full Text PDFOptimized detection of calcium ion in serum using constant potential coulometry with metastable liquid-liquid contact doping enhanced PEDOT: PSS ink.
Bioelectrochemistry
January 2025
School of Chemistry, Sun Yat-Sen University, Guangzhou 510275, People's Republic of China; Key Laboratory for Polymeric Composite & Functional Materials of Ministry of Education, School of Chemistry, Sun Yat-sen University, Guangzhou 510275, People's Republic of China.
Highly stable calcium ion selective electrodes (Ca-ISEs) were developed by drop-casting a layer of poly(3,4-ethylenedioxythiophene): polystyrene sulfonate (PEDOT: PSS) as an ion-to-electron transfer layer onto Au electrode. The conductive PEDOT: PSS ink was prepared using a metastable liquid-liquid contact (MLLC) doping method, which induced phase separation, removed excess PSS, and significantly enhanced charge transfer kinetics and conductivity. The resulting Ca-ISEs exhibited excellent electrochemical performance.
View Article and Find Full Text PDFHydrophobic PU fabric with synergistic conductive networks for boosted high sensitivity, wide linear-range wearable strain sensor.
Nanotechnology
January 2025
Anhui Agricultural University, Hefei, 230036, P. R. China, Hefei, 230036, CHINA.
Strain sensing fabrics are able to sense the deformation of the outside world, bringing more accurate and real-time monitoring and feedback to users. However, due to the lack of clear sensing mechanism for high sensitivity and high linearity carbon matrix composites, the preparation of high performance strain sensing fabric weaving is still a major challenge. Here, an elastic polyurethane(PU)-based conductive fabric(GCPU) with high sensitivity, high linearity and good hydrophobicity is prepared by a novel synergistic conductive network strategy.
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