The functional status of the professional football players during functional testing procedure by Pavlichenko P.P.

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The functional status of the professional football players during functional testing procedure. by P. P. Pavlichenko

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Association Between Sleep Quality and Self-Efficacy Trajectories Among Pregnant Women: A Parallel Process Latent Growth Curve Model by Mei X, Li Y, Wu X, Liang M, Chen Q, Kang L, Ye Z

“…Latent profile analysis and parallel process latent growth curve modeling were employed for data analysis.Results: Poorer initial sleep quality negatively predicted initial self-efficacy (β=− 0.459, P< 0.05) but positively predicted self-efficacy growth rate (β=0.383, P< 0.05). …”
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Associations between ultra-processed food consumption and duration of exercise with psychological symptoms in Chinese adolescents: a nationwide cross-sectional survey by Wei Zheng, Jianping Xiong, Bo Huang, Qingtao Kong

“…BackgroundGlobally, ultra-processed food (UPF) consumption among adolescents is increasing, and the duration of exercise is decreasing, which has a serious negative impact on adolescents’ physical and mental health. …”
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Automated sleep staging using sequential XGBoost and multi-scale temporal fusion by Jiří Kuchyňka, Oldřich Vyšata

“…The method was validated on a clinical dataset (224 polysomnographic recordings) and the Sleep-EDF expanded database, achieving accuracy rates of 81.5% (Cohen's kappa [κ] = 0.742) on clinical data and up to 91.5% (κ = 0.826) on Sleep-EDF data. …”
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Generating learning guides for medical education with LLMs and statistical analysis of test results by Iván Roselló Atanet, Mihaela Tomova, Miriam Sieg, Victoria Sehy, Patrick Mäder, Maren März

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Mathematical Modelling of Drying Characteristics of Lemon Grass Leaves (Cymbopogon citratus) by Oyebola Odunayo Olabinjo

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Fast noisy long read alignment with multi-level parallelism by Zeyu Xia, Canqun Yang, Chenchen Peng, Yifei Guo, Yufei Guo, Tao Tang, Yingbo Cui

“…However, longer reads increase data volume exponentially and high error rates make many existing alignment tools inapplicable. …”
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Post-harvesting of Solanum paniculatum L. leaves. Part I: Drying kinetics by Elton A. S. Martins, André L. D. Goneli, Alexandre A. Gonçalves, Valdiney C. Siqueira, Claúdia A. L. Cardoso, Gabriela L. de Almeida

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Stochastic Gradient Descent for Kernel-Based Maximum Correntropy Criterion by Tiankai Li, Baobin Wang, Chaoquan Peng, Hong Yin

“…Motivated by the popularity of the stochastic gradient descent (SGD) for solving nonconvex problems, this paper considers SGD applied to the kernel version of MCC, which has been shown to be robust to outliers and non-Gaussian data in nonlinear structure models. As the existing theoretical results for the SGD algorithm applied to the kernel MCC are not well established, we present the rigorous analysis for the convergence behaviors and provide explicit convergence rates under some standard conditions. …”
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Arc plasma‐deposited Co single‐atom catalysts supported on an aligned carbon nanofiber for hydrogen peroxide electrosynthesis and an electro‐Fenton process by Chang‐Kyu Hwang, Sooyeon Kim, Ki Ro Yoon, Thao Thi Le, Chinh V. Hoang, Jae Won Choi, Wenjun Zhang, Sae Yane Paek, Chung Hyeon Lee, Ji Hyun Lee, Keun Hwa Chae, Sohee Jeong, Seung Yong Lee, Byeong‐Kwon Ju, Sang Hoon Kim, Sang Soo Han, Jong Min Kim

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Inflammation and cognitive performance in elite athletes: A cross-sectional study by Kati Wiedenbrüg, Laura Will, Lukas Reichert, Sebastian Hacker, Claudia Lenz, Karen Zentgraf, Markus Raab, Karsten Krüger

“…The aim of this study was to investigate the relationship between cognitive performance and selected inflammatory, and further physiological biomarkers in elite athletes. Data from 350 elite athletes regarding cognitive performance (processing speed, selective attention, working memory, cognitive flexibility), systemic inflammatory markers, metabolic hormones, growth factors, tissue damage markers, and micronutrients (e.g., ferritin, 25-OH-vitamin D), as well as physiological, subjective ratings of recovery and stress were analysed by correlative and multiple regression analyses. …”
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Lesson learned from implementing measures to prevent urinary tract infection and bladder distension in patients with hip fractures - a process evaluation by Maria Frödin, Brigid M. Gillespie, Ewa Wikström, Cecilia Rogmark, Bengt Nellgård, Annette Erichsen

“…Quantitative data, including attendance and adherence rates, were descriptively summarized under the categories of fidelity, dose, reach, context, and mechanisms of impact. …”
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A virtual-reality (VR) cognitive pupillometry analysis of auditory and visual phonemic awareness tasks involving ‘th’ sound variations by Mohsen Mahmoudi-Dehaki, Nasim Nasr-Esfahani

“…GazeMetrics strategies were employed to validate and ensure the reliability of the data collection process. The quantitative results demonstrated (a) no critical differences regarding the CL experienced by the participants in each group concerning voiced vs. voiceless’ th’ PATs and (b) higher levels of CL (increased pupil diameter, decreased blink rates, and increased gaze pattern or fixation duration) among participants in the auditory PATs group compared to the ones in the auditory and visual PATs group. …”
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Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China by Hanyu Zhang, Bingjie Liu, Bin Yang, Jiachang Guo, Zhenhua Hu, Mengtao Zhang, Zhaohui Yang, Jianshuang Zhang

“…IntroductionThe unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in tree species classification.MethodsUAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing sets were constructed through data pre-processing, individual tree segmentation, feature extraction, Non-uniform Grid and Farther Point Sampling (NGFPS), and then four tree species were classified efficiently by two machine learning algorithms and two deep learning algorithms.ResultsResults showed that PointMLP achieved the best accuracy for identification of the tree species (overall accuracy = 96.94%), followed by RF (overall accuracy = 95.62%), SVM (overall accuracy = 94.89%) and PointNet++(overall accuracy = 85.65%). …”
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A personalised health intervention to maintain independence in older people with mild frailty: a process evaluation within the HomeHealth RCT by Rachael Frost, Yolanda Barrado-Martín, Louise Marston, Shengning Pan, Jessica Catchpole, Tasmin Rookes, Sarah Gibson, Jane Hopkins, Farah Mahmood, Benjamin Gardner, Rebecca L Gould, Claire Jowett, Rashmi Kumar, Rekha Elaswarapu, Christina Avgerinou, Paul Chadwick, Kalpa Kharicha, Vari M Drennan, Kate Walters

“…Forty-one per cent were signposted or referred to other supportive services, with ongoing support where needed throughout this process. Qualitative data indicated that HomeHealth was acceptable, empowering for those who saw a need for change and fitted well within host voluntary sector organisations. …”
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Modeling and experimental comparison of residual stresses and microstructure in UNS S32507 welds using Gas Tungsten Arc and Laser Beam Welding processes by G. Surya Prakash Rao, Panchagnula Jayaprakash Sharma, Suresh Akella, Harinadh Vemanaboina, Jasvinder Singh, MVV Prasad Kantipudi, Chander Prakash, Khang Wen Goh, Dao Thanh Phong

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Vegetation growth improvement Inadequately represents the ecological restoration of the Populus euphratica forests in Xinjiang, China by Xuefei Guo, Junli Li, Jiudan Zhang, Chunxia Wei, Zhijun Li

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ASSESSMENT OF DEMOGRAPHIC INDICATORS CHARACTERIZING REPRODUCTION OF THE POPULATION OF THE KRASNODAR TERRITORY by T. A. Shiltsova, V. V. Pilshchikova, Yu. A. Vasiliev

“…The article discusses the priorities of the state policy in the field of stabilization of demographic processes aimed at a significant increase in the birth rate. …”
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Big data technology for teaching quality monitoring and improvement in higher education - joint K-means clustering algorithm and Apriori algorithm by Yang Li, Haiyu Zhang

“…Big data technology enables the capture and analysis of massive amounts of data generated during the teaching process, providing the possibility for a deeper understanding of teaching activities. …”
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