Research on Curvature Interference Characteristics of Conical Surface Enveloping Cylindrical Worm–Face Worm Gear Drive by Shibo Mu, Xingwei Sun, Zhixu Dong, Heran Yang, Yin Liu, Weifeng Zhang, Sheng Qu, Hongxun Zhao, Yaping Zhao

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Errors in the diagnosis of types of diabetes mellitus: causes and prevention strategies (literature review and own research results) by K.I. Gerush, N.V. Pashkovska, O.Z. Ukrainets

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Research on heat transfer characteristics of crude oil storage tank heated by jet in combination with mechanical stirring by Hang Dong, Xiaowan Liang, Xiaonian Xiong, Mingyu Lei, Jian Zhao

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Research on Intelligent Constellation Map Monitoring for Fiber Optic Communication Based on Small Sample Learning Network by Yiming Wu

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Research on fault localization method of valve area in converter station based on metric learning and knowledge reasoning by WEI Yun, LI Xianwei, ZHANG Yanlong, CAO Hui, XU Dan, QIU Junhong

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Research on the temperature inversion accuracy based on spatial heterodyne interferometric spectroscopy observation in mesosphere and lower thermosphere by Weijia Wang, Haiyan Luo, Zhiwei Li, Wei Xiong

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CASCADE: a community-engaged action model for generating rapid, patient-engaged decisions in clinical research by Bridgette L. Kelleher

“…Abstract Background Integrating patient and community input is essential to the relevance and impact of patient-focused research. However, specific techniques for generating patient and community-informed research decisions remain limited. …”
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Research on Fracture Energy Prediction and Size Effect of Concrete Based on Deep Learning with SHAP Interpretability Method by Huiming Wang, Weiqi Zhang, Jie Lin, Shengpin Guo

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An interpretable predictive model for bank customers’ income using the eXtreme Gradient Boosting algorithm and the SHAP method: a case study of an Anonymous Chilean Bank by Patricio Salas, Patricio Sáez, Vicente Marchant

“…The results demonstrate that the combination of feature selection methods and the XGBoost algorithm enables the development of a more concise model that maintains predictive performance. …”
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Scoring of swine lung images: a comparison between a computer vision system and human evaluators by Robert Valeris-Chacin, Beatriz Garcia-Morante, Marina Sibila, Albert Canturri, Isaac Ballarà Rodriguez, Ignacio Bernal Orozco, Ramon Jordà Casadevall, Pedro Muñoz, Maria Pieters

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Research and Optimization of White Blood Cell Classification Methods Based on Deep Learning and Fourier Ptychographic Microscopy by Mingjing Li, Junshuai Wang, Shu Fang, Le Yang, Xinyang Liu, Haijiao Yun, Xiaoli Wang, Qingyu Du, Ziqing Han

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The potential of ME1 in guiding immunotherapeutic strategies for ovarian cancer: insights from pan-cancer research by Jiahui Wei, Ming Wang, Shuiqing Xu, Paizigul Tusufuhan, Yumei Wu

“…The elevated levels of ME1 may be associated with a more favorable response to specific immunotherapy, suggesting that ME1 has potential applications in guiding immunotherapeutic strategies. In vitro research results demonstrated that in ovarian cancer cell lines, the knockdown of ME1 inhibited the proliferation and migration of tumor cells. …”
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Genome-wide expression in human whole blood for diagnosis of latent tuberculosis infection: a multicohort research by Fan Jiang, Fan Jiang, Fan Jiang, Yanhua Liu, Linsheng Li, Linsheng Li, Ruizi Ni, Ruizi Ni, Yajing An, Yajing An, Yufeng Li, Yufeng Li, Lingxia Zhang, Wenping Gong

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Research on Stability of Removal Function in Figuring Process of Mandrel of X-Ray-Focusing Mirror with Variable Curvature by Jiadai Xue, Yuhao Li, Mingyang Gao, Dongyun Gu, Yanlin Wu, Yanwen Liu, Yuxin Fan, Peng Zheng, Wentao Chen, Zhigao Chen, Zheng Qiao, Yuan Jin, Fei Ding, Yangong Wu, Bo Wang

“…Over the past 30 years, researchers have developed X-ray-focusing telescopes by employing the principle of total reflection in thin metal films. …”
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How to Distinguish Attenuated Forms of Mucopolysaccharidosis and Articular Forms of Juvenile Arthritis: Development of Diagnostic Algorithm Based on the Data from Multicenter Retro... by Natalia V. Buchinskaya, Nato D. Vashakmadze, Natalia V. Zhurkova, Lubov S. Sorokina, Liudmila К. Mikhaylova, Leyla S. Namazova-Baranova, Ekaterina Yu. Zakharova, Valentina I. Larionova, Mikhail M. Kostik

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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…On this basis, a high temperature disaster risk map of the urban development area of Wuhan is synthesized to identify the distribution characteristics of high temperature disaster risk in the research area. Then Landsat 8 remote sensing images are processed with SAGA GIS software, Google Earth Pro software, and Random Forest algorithm to classify the urban development area of Wuhan into 17 local climate zone (LCZ) types based on the remote sensing image classification method of World Urban Database and Access Portal Tools (WUDAPT). …”
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Automation of conceptual design and modification of aircraft-type unmanned aerial vehicles using multidisciplinary optimization and evolutionary algorithms. Part 2: results and ana... by V. A. Komarov, O. E. Lukyanov, V. H. Hoang, E. I. Kurkin, J. G. Quijada Pioquinto

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Effects of Simplified Antihypertensive Treatment Algorithm on Hypertension Management and Hypertension-Related Death in Resource-Constricted Primary Care Setting between 1997 and 2... by Mulalibieke Heizhati, Nanfang Li, Qiaoyan Shi, Xiaoguang Yao, Delian Zhang, Keming Zhou, Menghui Wang, Junli Hu, Gulinuer Duiyimuhan, Wen Jiang, Jing Hong, Le Sun

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A Novel Back Propagation Neural Network Based on the Harris Hawks Optimization Algorithm for the Remaining Useful Life Prediction of Lithium-Ion Batteries by Yuyang Zhou, Zijian Shao, Huanhuan Li, Jing Chen, Haohan Sun, Yaping Wang, Nan Wang, Lei Pei, Zhen Wang, Houzhong Zhang, Chaochun Yuan

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Optimization of spatio-temporal ozone (O3) pollution modeling using an ensemble machine model learning with a swarm-based metaheuristic algorithm by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Armin Sorooshian, Lingbo Liu, Shuming Bao, Soo-Mi Choi

“…Addressing these challenges requires advanced spatio-temporal modeling techniques to assess and predict O3 pollution levels accurately. This research fills a crucial gap in current modeling approaches by proposing a novel methodology that integrates an ensemble machine-learning algorithm with swarm-based metaheuristic optimization algorithm. …”
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