Metadata GeoPortal: Advancing Map Data Management and Collaboration Across Sectors by S. Yalcin, M. T. Sert, B. Erkek, E. Ayyildiz

“…This facilitates seamless access to critical geospatial data, including control points, aerial photographs, orthophotos, elevation models, and topographic maps. …”
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Global, regional, and national burden of ischemic stroke in older adults (≥60 years) from 1990 to 2021 and projections to 2030 by Shuting Hua, Zexian Dong, Hui Wang, Tong Liu, Tong Liu, Tong Liu

“…It is recommended to enhance the control of high-risk factors such as hypertension, smoking, and high BMI, and to optimize healthcare services in low-income regions to further reduce the burden of ischemic stroke and improve the quality of life for older adults.…”
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Drone Navigation and Target Interception Using Deep Reinforcement Learning: A Cascade Reward Approach by Ali A. Darwish, Arie Nakhmani

“…This article proposes an architecture for drone navigation and target interception, utilizing a self-supervised, model-free deep reinforcement learning approach. …”
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The Role of Artificial Intelligence in Sports Analytics: A Systematic Review and Meta-Analysis of Performance Trends by Przemysław Pietraszewski, Artur Terbalyan, Robert Roczniok, Adam Maszczyk, Kajetan Ornowski, Daria Manilewska, Szymon Kuliś, Adam Zając, Artur Gołaś

“…Nevertheless, several challenges were identified, including lack of standardization in model evaluation, limited algorithmic transparency, and difficulties in generalizing findings from controlled laboratory environments to real-world competitive settings. …”
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How emotional labor leads to turnover intention: the mediating role of job burnout and the moderating role of social support among rural physical education teachers in China by Pu Sun, Lifang Wang, Xi Chen, Mingyue Cui, Ke Ma, Ling Yan

“…Structural equation modeling (SEM) via AMOS 26.0 was used to test the mediating effects of job burnout, followed by moderated mediation analyses using PROCESS macro Model 7, controlling for gender, age, teaching tenure, and education level.ResultsJob burnout significantly mediated the associations between all three emotional labor strategies and turnover intention. …”
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Diagnostic potential of gut microbiota in Parkinson’s disease by V. A. Petrov, V. M. Alifirova, I. V. Saltykova, I. A. Zhukova, N. G. Zhukova, Yu. B. Dorofeeva, O. P. Ikkert, M. A. Titova, Yu. S. Mironova, A. E. Sazonov, M. R. Karpova

“…Classifying models were made using the naive Bayes classifier, the artificial neural network, support vector machine, generalized linear model, and partial least squares regression.As a result we established that an optimal classification by the composition of the gut microbiota on the validation sample (sensitivity 91.30%, specificity 91.67% at 91.49% accuracy) amid patients was demonstrated with a naive Bayes classifier using the representation of the following genera as predictors: Christensenella, Methanobrevibacter, Leuconostoc, Enterococcus, Catabacter, Desulfovibrio, Sphingomonas, Yokenella, Atopobium, Fusicatenibacter, Cloacibacillus, Bulleidia, Acetanaerobacterium, and Staphylococcus.Conclusions. …”
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Experimental investigations of application of the water-steam оzone-containing gaseous mixture for prophylaxis and treatment of respiratory infectious diseases by M. V. Kostylev, S. L. Rybalko, A. A. Vladimirov, N. V. Chukhraiev, G. V. Terehov, S. N. Titarenko, D. B. Starosila, I. M. Savytska, O. A. Geylenko

“…Determination of the virus-cidal and bacterio-cidal action of the ozone-containing steam-water mixture, which was obtained, using apparatus POS-1, simulated on viral models of transmissive gastroenteritis of pigs of the coronaviruses family and polyresistant clinical strains of bacterial cultures, as well as adjustment of optimal parameters of ozone in the gaseous mixture content, which do not cause pathological changes in the organism’s organs and systems. …”
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Exploring METRNL as a novel biomarker in sepsis: diagnostic potential and secretion mechanism by Tian-Ying Xu, Jing-Xin Zhao, Ming-Yao Chen, Zhu-Wei Miao, Zhi-Yong Li, Yong-Qing Chang, Yu-Sheng Wang, Chao-Yu Miao

“…Methods METRNL levels were measured in cell and animal models of sepsis. Serum samples from 107 sepsis patients and 95 non-septic controls in ICU were collected. …”
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Anterior Tooth Inclination Between Skeletal Class II and III Malocclusions After Surgical Orthodontic Treatment by Hiromi Tomaru, Chie Tachiki, Yu Nakamura, Dai Ariizumi, Satoru Matsunaga, Keisuke Sugahara, Akira Watanabe, Akira Katakura, Yasushi Nishii

“…Multiple regression analysis was used to establish prediction models for anterior tooth inclination. The threshold for statistical significance was set at <i>p</i> < 0.05. …”
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The effect of obligatory versus voluntary school food standard implementation on the fulfillment of the school food standard requirements in Germany by Cordula Hundeshagen, Heike Rosmann, Jörg Lindenmeier

“…In addition, we estimated binominal logistic regression models and two-step multiple regression models to control for the effects of geographical factors and socioeconomic status to the fulfillment of the SFS criteria. …”
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ADEPNET: A Dynamic-Precision Efficient Posit Multiplier for Neural Networks by Aditya Anirudh Jonnalagadda, Uppugunduru Anil Kumar, Rishi Thotli, Satvik Sardesai, Sreehari Veeramachaneni, Syed Ershad Ahmed

“…Recent research has found that the performance of deep neural network models saturates beyond a certain level of accuracy of multipliers used for convolutions. …”
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Design and traction performance analysis of a mine deformable crawler pipeline robot by WANG Guorui, YAN Hongwei, KOU Ziming, WEI Hongmei, REN Haojie, MA Yaohui

“…Currently, mine crawler pipeline robots face issues such as complex structure, inability to actively control diameter variations, and poor traction and obstacle-crossing performance. …”
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The Effect of Heat Stress on the Performance and Genetic Parameters of Milk Production, Reproduction, and Somatic Cell Scores in Iranian Holstein Cows by Reza Seyedsharifi, Fatemeh Ala Noshahr, Jamal Seif Davati, Nemat Hedayat Evrigh

“…Variance components were estimated using multi-trait repeatable test day models with random regression on THI values. The models included herd test day classes and DIM as fixed effects, and normal weather, heat tolerance, and permanent environment as random effects. …”
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Effect of tool shoulder geometry on lapped Al/CFRTP hybrid joint structure and strength made by pinless friction spot joining by Weihao Li, Peihao Geng, Ninshu Ma, Hidetoshi Fujii, Hong Ma

“…However, previous research has rarely focused on optimizing joint performance by controlling thermal conduction through modifying tool structures. …”
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The Research on Path Planning Method for Detecting Automotive Steering Knuckles Based on Phased Array Ultrasound Point Cloud by Yihao Mao, Jun Tu, Huizhen Wang, Yangfan Zhou, Qiao Wu, Xu Zhang, Xiaochun Song

“…At the same time, in the trajectory planning process, piecewise cubic Hermite interpolation was used to optimize the detection trajectory, ensuring continuity during probe movement. …”
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Microwave-enhanced catalytic degradation of organic compounds with silica-coated iron oxide nanocrystals via fenton-like reaction pathway by Junseok Lee, Seunghyun Weon, Seung Soo Steve Lee, Eun-tae Yun, Myoung Won Chung, Changwoo Kim, Hailiang Wang, John D. Fortner

“…For this, we precisely synthesize amorphous silica-coated various metal oxide (single domain) nanocrystals, and then evaluate the degradation of methyl orange (MO) and benzoic acid (BA), chosen as model organic molecules. We examine (and optimize) the effects of core (nanocrystal) composition, size, and concentration, along with solution pH and hydrogen peroxide (H2O2) concentration. …”
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Interfacial behavior prediction and regulation on inclined superhydrophobic surfaces with transfer learning-assisted method by Yibin Liu, Konghua Yang, Yuchao Luo, Jiawei Xiong, Yunhong Liang, Zhihui Zhang, Chunbao Liu

“…Consequently, SCR was controlled efficiently by rationalizing settings contact location (Di) and traveled distance (Li). …”
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Non-Invasive Estimation of Arterial Stiffness Using Photoplethysmography Sensors: An In Vitro Approach by Gianluca Diana, Francesco Scardulla, Silvia Puleo, Salvatore Pasta, Leonardo D’Acquisto

“…This study employs an in vitro experimental setup designed to simulate the cardiovascular system performing under controlled velocity and pressure conditions, in which silicone phantom models with different geometric and mechanical properties were implemented to evaluate their stiffness using a pair of photoplethysmographic sensors. …”
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3-D Flood mapping from SWOT observations during extreme rainfall: a case study of Gangnan Reservoir by Jiaqi Yao, Mengran Wang, Nan Xu, Tong Liu, Fan Mo, Xue Li, Yongqiang Cao, Kebing Chen, Jinyan Sun, Hui Lu

“…High-frequency noise in SWOT water surface elevation was identified using the Fourier transform and denoised with product quality-control parameters. Elevation accuracy was validated against ICESat-2. …”
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Air Traffic Trends and UAV Safety: Leveraging Automatic Dependent Surveillance–Broadcast Data for Predictive Risk Mitigation by Prasad Pothana, Paul Snyder, Sreejith Vidhyadharan, Michael Ullrich, Jack Thornby

“…By integrating machine learning with real-time ADS-B data, this research provides a framework for optimizing UAV operations, supporting airspace management and improving regulatory compliance for safe UAV integration into controlled airspace.…”
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