Postcare for Repairing Nerve and Tendon Injury Based on Biomimetic Nano-Parallel Material Composite Protein by Junxia Fu, Xiaohong Tan, Yan Tang

“…Tendon injuries are common sports injuries, accounting for 50% of sports injuries. …”
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Human activity recognition system based on low-cost IoT chip ESP32 by Chao HU, Bangyan LU, Yanbing YANG, Zhe CHEN, Lei ZHANG, Liangyin CHEN

“…Human activity recognition widely exists in applications such as sports management and activity classification.The current human activity recognition applications are mainly divided into three types: camera-based, wearable device-based, and Wi-Fi awareness-based.Among them, the camera-based human activity recognition application has the risk of privacy leakage, and the wearable device-based human activity recognition application has problems such as short battery life and poor accuracy.Human activity recognition based on Wi-Fi sensing generally uses Wi-Fi network cards or software-defined radio devices to identify the rules of channel state information changes, so as to infer user activity.It does not have the problems of privacy leakage and short battery life.But Wi-Fi network cards need to rely on computers and software-defined radio platforms are expensive, which greatly limit the application scenarios of Wi-Fi sensing.Aiming at the above problems, a human activity recognition system based on the low-cost IoT chip ESP32 was proposed.Specifically, the Hampel filter and Gaussian filter were used to preprocess the channel state information obtained by ESP32.Then, the principal component analysis and discrete wavelet transform were utilized to reduce the dimension of the data.Finally, the K-nearest neighbor (KNN) algorithm was applied to classify data.The experimental results show that the system can achieve a recognition accuracy which close to the current mainstream Wi-Fi perception system (Intel 5300 network card) when only two ESP32 nodes are deployed, and the average accuracy rate for the six activities is 98.6%.…”
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Real-time monitoring of lower limb movement resistance based on deep learning by Burenbatu, Yuanmeng Liu, Tianyi Lyu

“…Real-time lower limb movement resistance monitoring is critical for various applications in clinical and sports settings, such as rehabilitation and athletic training. …”
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Involvement of Russian student youth in Internet communications as a factor in the formation of models of their socio-political activity by E. A. Istyagina-Yeliseeva, C. E. Barijenikova, A. V. Boldyreva

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The Systematic Analysis of Exercise Mechanism in Human Diseases by Lei Pu, Peng Sun

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From Ford to the Olympics by Egidio Dansero, Matteo Puttilli

“…The event was crucial to rethinking the city’s development model, which, since its foundation in 1934, hinged on two specific vocations: winter sports tourism and the close link with Torino, where the Agnelli family, the major force behind Sestriere’s foundation, had operated the FIAT auto factories since the Twenties. …”
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Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial Sensor by Peng Li, Jihe Zhou

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Occurrence factors of emotional burnout syndrome among young employees by L. V. Tarabakina, E. V. Zvonova, V. A. Tarasova

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Enhancing Wheel Vertical Displacement Estimation in Road Vehicles Through Integration of Model-Based Estimator With Artificial Intelligence by Raffaele Marotta, Sebastiaan van Aalst, Kylian Praet, Miguel Dhaens, Valentin Ivanov, Salvatore Strano, Mario Terzo, Ciro Tordela

“…Leveraging only vertical acceleration measurements, the neural network operates in parallel with the model-based estimator, enhancing the overall accuracy of displacement estimation. …”
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An Improved Deep Learning-Based Technique for Driver Detection and Driver Assistance in Electric Vehicles with Better Performance by Gunapriya Balan, Singaravelan Arumugam, Suresh Muthusamy, Hitesh Panchal, Hossam Kotb, Mohit Bajaj, Sherif S. M. Ghoneim, null Kitmo

“…The proposed model (RF-DNN) achieved 97.05% of accuracy and the PCA-DNN model achieved 95.55% of accuracy, whereas the artificial neural network as ANN with PCA and RF achieved nearly 92% of accuracy.…”
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Delirium and Cognitive Screening in National Hip Fracture Registries: Scoping Review Protocol [version 2; peer review: 2 approved] by Pamela Hickey, Rose S. Penfold, Louise Brent, Niamh A. Merriman, Eithne Sexton, Tara Coughlan, Mary E. Walsh, Antony Johansen, Catherine Blake, Alasdair M. J. MacLullich, Andrew J. Hall, Cristina Ojeda-Thies

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Real-Time Football Match Prediction Platform by An Zhongqi

“…The integration of real-time data into sports analytics has significantly enhanced the accuracy of football match predictions, which is vital for team management, tactical planning, and commercial applications *such as sports betting. …”
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Measuring the condition of Tehran Metropolitan based on Ubiquitous city indicators by Haniyeh Asadzadeh, Afshar Hatami, Farzaneh Sasanpour

“…In turn, U-facilities, U-environment, U-energy network, and U-water network are the only aspects that the distribution of indicators (More than 50 %) are appropriate. …”
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Anti-constitutional activities and cover organisations of national-socialist movement in Klaipėda region in 1935-1937 by Mindaugas Valiukevičius

“…Religious, youth and sports organizations were the most politically engaged and propagandistic. …”
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A Data Mining-Based Model for Evaluating Tennis Players’ Training Movements by Hang Chen

“…This paper uses video observation and mathematical modeling to construct a tennis player training action evaluation model, which provides a reference basis for tennis players to improve and enhance their tactical level; it can also provide a reference for the development of sports training special theory of tennis projects and enrich the tactical diagnosis method of tennis matches. …”
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Acupuncture Anxiolytic Effects on Physiological and Psychological Assessments for a Clinical Trial by Monir Shayestehfar, Tohid Seif-Barghi, Sahar Zarei, Amir Mehran

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Characterization and tensile fractography of nano ZrO2 reinforced Copper-Zinc alloy composites by Prasad H. Nayak, H. K. Srinivas, Madeva Nagaral, V. Auradi

“…Checking electron micrographs uncovered the uniform dispersion of nano ZrO2 particulates in the copper zinc composite network. EDS examination affirmed the nearness of Zr and O components in nano ZrO2 strengthened composites. …”
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Intelligent Controllers for Multirobot Competitive and Dynamic Tracking by Mei Liu, Shuai Li, Xiaodi Li, Long Jin, Chenfu Yi, Zhiguan Huang

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Exploration of interstitial fluid proteome in Homo sapiens forearm through a cutting edge intradermal microdialysis and high-throughput proteomics approach: a pilot study by Yu Sakamoto, Naoto Fujii, Junko Shibato, Ravi Gupta, Cheol Woo Min, Sun Tae Kim, Ranjith Kumar Bakku, Randeep Rakwal

“…A protein–protein interaction (PPI) network was constructed with genes from STRING using Cytoscape. …”
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Characterization and Tensile Fractography of Nano ZrO2 Reinforced Copper-Zinc Alloy Composites by Madeva Nagaral, Prasad H. Nayak, H. K. Srinivas, V. Auradi

“…Checking electron micrographs uncovered the uniform dispersion of nano ZrO2 particulates in the copper zinc composite network. EDS examination affirmed the nearness of Zr and O components in nano ZrO2 strengthened composites. …”
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