Regular monitoring of post-training biochemical markers as a tool for injury prevention in professional athletics – review by Sara Szydłowska, Krzysztof Błaszków, Jagoda Elias, Wiktor Biesiada, Marlena Zubiak, Dominika Kaźmierczak

“…One of the key tools supporting these processes is the regular monitoring of biochemical markers, which allows for the assessment of the body's response to physical exertion and the detection of overtraining states. …”
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Sequential Inversion for Helicopter Time-Domain Electromagnetics Based on a Regularized Extended Kalman Filtering by Sirui Zhou, Jun Lin, Chuandong Jiang, Haigen Zhou, Yanzhang Wang

“…The helicopter time-domain electromagnetic method (HTEM) has been widely applied in challenging geological terrains, particularly in large-scale mineral exploration, underground water resource detection, and the selection of sites for underground engineering, due to its advantage of not requiring personnel to enter the detection area. …”
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Optimal Poisson Cognitive System with Markov Learning Model by A. A. Solodov

“…It is assumed that the cognitive system makes a decision about the presence or absence of a stimulus at its input in accordance with the Neуman-Pearson optimality criterion, i.e. maximizes the probability of correct detection of the stimulus with a fixed probability of false detection. …”
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Perfect anomalous refraction metasurfaces empowered half-space optical beam scanning by Tao He, Dongdong Li, Chengfeng Li, Haigang Liang, Chao Feng, Jingyuan Zhu, Lingyun Xie, Siyu Dong, Yuzhi Shi, Xiong Dun, Zeyong Wei, Zhanshan Wang, Xinbin Cheng

“…Our results open new avenues for high-efficiency metasurfaces and advances applications in light detection and ranging systems.…”
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Automated Diagnosis of Knee Osteoarthritis Using ResNet101 on a DEEP:PHI: Leveraging a No-Code AI Platform for Efficient and Accurate Medical Image Analysis by Kyu-Hong Lee, Ro-Woon Lee, Jae-Sung Yun, Myung-Sub Kim, Hyun-Seok Choi

“…This approach could significantly enhance the early detection and management of knee OA, potentially improving patient outcomes and streamlining clinical workflows.…”
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Multimodal lightweight neural network for Alzheimer's disease diagnosis integrating neuroimaging and cognitive scores by Bhoomi Gupta, Ganesh Kanna Jegannathan, Mohammad Shabbir Alam, Kottala Sri Yogi, Janjhyam Venkata Naga Ramesh, Vemula Jasmine Sowmya, Isa Bayhan

“…The neurocognitive feature extraction module utilizes depthwise separable convolutions to process cognitive assessment data, which are then fused with multimodal imaging features. …”
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Automated Overtake Assist System Using YOLOv4 and Mask R-CNN for Enhanced Autonomous Driving by Navya Thirumaleshwar Hegde, Kapileswar Rana, S. S. Barath, Florence Nishmitha, Vishnu G. Nair

“…Our results demonstrate the AOA system’s capability to perform accurate lane detection, vehicle recognition, and distance measurement, ensuring a seamless and safe overtaking process in response to the driver’s intent.…”
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Advanced Interpretation of Bullet-Affected Chest X-Rays Using Deep Transfer Learning by Shaheer Khan, Nirban Bhowmick, Azib Farooq, Muhammad Zahid, Sultan Shoaib, Saqlain Razzaq, Abdul Razzaq, Yasar Amin

“…Special deep learning algorithms went through a process of optimization before researchers improved their ability to detect and place objects. …”
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Intelligent recognition technology of high speed moving target contour in dynamic visual scene by Min Qiu

“…If the target is accompanied by high acceleration, motion blur will occur during the imaging process, increasing the difficulty of contour extraction and causing deviation in target recognition. …”
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Determination of 13 Halogenated Organic Additives in Plastics of Electronic Products by Liquid Chromatography-High Resolution Mass Spectrometry by Rui-fen ZHENG, Yi-zhe ZHU, Ling LIU, Shi-rong MA, Jun-xian HE, Cai-ming TANG

“…After ultrasonication, the sample mixture was centrifugated, and the supernatant was transferred to a clean glass tube. The extraction process was repeated twice more, and all the extracts were merged. …”
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An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data by Beom Joon Kim, Jeong Hyeon Mun, Dae Hwan Hwang, Dong In Suh, Changwon Lim, Kyunghoon Kim

“…Ultimately, the proposed transformer-based model showed high accuracy in wheezing detection, and the decision-making process of the model was also verified to be reliable. …”
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Transcriptome and hormones metabolome joint analyses reveal the key molecular mechanism of Sweetpotato storage roots sprouting by Fan Ding, Xue Zou, Heling Fan, Li-ping Rao, Jian Sun, Qiang Li

“…But they were detected only, 45 up-regulated genes and 126 down-regulated genes between 0d and 3d of late-sprouting variety. …”
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Designing an intervention to improve cognitive evaluations in primary care by Kyra S. O’Brien, Kristin Harkins, MaryAnne Peifer, Melanie Kleid, Cameron Coykendall, Judy Shea, Jason Karlawish, Robert E. Burke

“…For some patients, early detection of cognitive impairment enables access to disease-modifying therapies. …”
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Intelligent Gas Sensors for Food Safety and Quality Monitoring: Advances, Applications, and Future Directions by Heera Jayan, Ruiyun Zhou, Chanjun Sun, Chen Wang, Limei Yin, Xiaobo Zou, Zhiming Guo

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Interleukin‐37 promotes wound healing in diabetic mice by inhibiting the MAPK/NLRP3 pathway by Qiaoli Cui, Zhenming Zhang, Lang Qin, Zhaolin Teng, Zhihong Wang, Wei Wu, Linling Fan, Jing Su, Yexuan Hao, Ji Qin, Li Zhang, Qi Wang, Yuan Zhuang, Hangping Zheng, Shuo Zhang, Xiang Geng, Lei Zhu, Yijian Chen, Bin Lu, Yiming Li, Xiaoming Zhu

“…ABSTRACT Aims/Introduction Diabetic foot ulcer (DFU) is a prevalent complication of diabetes characterized by heightened inflammation and impaired wound‐healing processes. Interleukin‐37 (IL‐37) is a natural suppressor of innate inflammation. …”
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On the possibility of yet a third kinetochore system in the protist phylum Euglenozoa by Corinna Benz, Maximilian W. D. Raas, Pragya Tripathi, Drahomíra Faktorová, Eelco C. Tromer, Bungo Akiyoshi, Julius Lukeš

“…Here, we employed deep homology detection protocols using profile-versus-profile Hidden Markov Model searches and AlphaFold-based structural comparisons to detect homologies that might have been previously missed. …”
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Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data by Maksym A. Jopek, Krzysztof Pastuszak, Sebastian Cygert, Myron G. Best, Thomas Wurdinger, Jacek Jassem, Anna J. Zaczek, Anna Supernat

“…They returned a set of 60 genes with the highest impact on the models’ decision-making process. Conclusions: Our results show that deep-learning methods are a promising opportunity for cancer detection and could support clinicians’ decision-making process in finding the solution for the black-box problem. …”
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Water-proof property monitoring and response characteristics of Neogene red soil layer during super-high mining fully mechanized by Yejie SONG, Wenjun JU, Yujun ZHANG, Zhaolai HUA, Xiwen YIN, Haoyu HU, Qianjin LIU

“…The mining stress appearance and deformation development process in red soil layer during fully mechanized mining with super large mining height were measured. …”
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Predictors for psychosocial consequences of screening for liver diseases: A data-driven approach. by Urs Alexander Fichtner, Andy Maun, Erik Farin-Glattacker

“…The protective role of social support and stable personal relationships suggests that integrating psychosocial support services within screening programs could mitigate negative outcomes. Furthermore, increasing patient health literacy might help to demystify the screening process and can reduce psychosocial burden even if patients come from a segment of lower subjective social status.…”
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Study and Application of a Wet Ball Milling Ultra-fine Method for Geological Samples by Xuelin DONG, Zhao XIANG, Zhengxun JIA, Nan ZHANG, Shuoyun TONG, Yuxiang XIONG

“…The sampling quantity was reduced to 2mg except for Mo, Cd, Cr.CONCLUSIONSAfter ball milling, the large particles are significantly reduced and the particle distribution is more uniform, which better solves the problem of ultrafine preparation of relevant types of samples in the laboratory, but there are some problems such as a long sample preparation process. The ultra-fine preparation technology of geological samples, combined with XRF and LA-ICP-MS, establishes a green analysis method of solid sampling with small sample quantity, and assists in the development of the detection industry.…”
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