Association between multimorbidity and having less than 20 natural teeth among Chinese older adults: a cross-sectional study by Yi Wu, Hui Liu, Yue Qin, HaoRan Chen, Junling Ma, Mei Yin, Lei Shi, Yang Fu

“…This study aimed to analyze the association between multimorbidity and having less than 20 natural teeth in older Chinese adults. The data for this analysis were obtained from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), which covers 23 provinces, municipalities, and autonomous regions throughout China. …”
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Readmission After Ischemic Stroke in Ningxia, China, From 2017 to 2021: Retrospective Cohort Study by Hua Meng, Xingtian Wang, Dongfeng Pan, Xinya Su, Wenwen Lu, Zhuo Liu, Yuhui Geng, Xiaojuan Ma, Ting Pan, Peifeng Liang

“…The most important factors were selected using the Least Absolute Shrinkage and Selection Operator regression model. Stabilized inverse probability of treatment weighting (SIPTW) was used to correct baseline imbalances between groups. …”
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The association of the metabolic score for insulin resistance and metabolic dysfunction-related steatosis liver disease: a population-based observational study by Haoxuan Zou, Xiaopu Ma, Wen Pan, Yan Xie

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Circulating endothelial progenitor cells as a marker of left ventricular pump function in ischemic chronic heart failure by A. A. Kremzer

“…In multivariate logistic regression model galectin-3 (R2 = 0.67;P = 0.012), T2DM (R2 = 0.26;P=0.001), previous MI (R2 = 0.17;P = 0.012), obesity (R2 = 0.22;P = 0.001), CD14+CD309+ cells (R2 = 0.058;P = 0.001), and CD14+СD309+Tie-2+ cells (R2 = 0.044;P = 0.028), NT-proBNP (R2 = 0.11;P = 0.046) were found as autonomous predictors of HFpEF. …”
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Wireless Channel Prediction Using Artificial Intelligence With Imperfect Datasets by Gowhar Javanmardi, Ramiro Samano Robles

“…One key objective of channel prediction is improving resource allocation to reduce latency and increase reliability, which are crucial metrics in applications such as autonomous vehicles. Our analysis contributes to the understanding (explainability) of how AI behaves under multiple impairments, which can also lead to the improvement of advanced vehicular applications.…”
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Comprehensive visceral transcriptome profiling of three pig breeds along altitudinal gradients in Yunnan by Jinlong Huo, Zhipeng Liu, Xia Zhang, Changyao Li, Decai Xiang, Guowen Fu, Wan Lin, Lingxiang Wu, Shaorong Gong, Jiading Zhao, Zhen Wang, Xiaohong Wang, Zhiping Xiao, Fanfan Hao, Yue Ren, Yu H. Sun, Guiying Zhao

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Influencing factors for influenza vaccination among the elderly by LI Yiyao, LI Xiaoju, SHEN Xiaoying, ZHANG Xianqi, ZHAO Li, ZHANG Yuhan, WANG Xinmeng

“…Factors affecting influenza vaccination among the elderly were analyzed using a multivariable logistic regression model. Results: Totally 1 121 valid questionnaires were recovered, with an effective recovery rate of 95.08%. …”
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INSTITUTIONALIZING UKRAINE’S POST-WAR RECONSTRUCTION by Glib Aleksin

“…Paper emphasizes that successful reconstruction cannot be achieved through ad hoc projects or donor-driven initiatives alone; rather, it requires a systemic and deliberate effort to empower domestic institutions – both formal and informal – to lead, coordinate and adapt recovery strategies in response to evolving challenges. The analysis focuses on five interrelated dimensions: (1) the conceptual foundations of institutionalizing recovery in post-war settings; (2) the role of institutional resilience in enabling adaptive governance and citizen trust; (3) the design of core reforms, including the establishment of an autonomous national recovery coordination body and local capacity-building; (4) the centrality of civil society, transparency mechanisms and public participation in recovery oversight; and (5) the importance of balancing central and local government roles to ensure an inclusive and effective division of labor. …”
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The complete mitochondrial genomes of Macrostylophora euteles and Citellophilus tesquorum sungaris and the phylogenetics of known Siphonaptera mitogenomes by Mingna Duan, Yafang Liu, Jun Wu, Shuang Liu, Shaobo Tang, Dandan Jiang, Quanfu Zhang, Wei Gu, Wei Gu, Xing Yang

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Research on the Prediction of Concealed Uranium Deposits Using Geo-Electrochemical Integrated Technology in the Guangzitian Area, Northern Guangxi, China by Xiaohan Zhang, Meilan Wen, Qiaohua Luo, Yunxue Ma, Yuheng Jiang, Yuxiong Jiang, Wei Ye, Jiali Zhang

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Exploring spatial reasoning performances of CNN on linear layout dataset by Jelena Pejic, Marko Petkovic, Sandra Klinge

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Benefits, challenges and opportunities of corporate sustainability by Jacobo-Hernandez Carlos Armando, Jaimes-Valdez Miguel Ángel, Ochoa-Jiménez Sergio

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Dose-Weighted Network Pharmacology: Evaluating Traditional Chinese Medicine Formulations for Lumbar Disc Herniation by Zhou C, Xiang T, Yu Y, Ma H, Liu C, Yang F, Yang L

“…TSD, YJD, and PQT were evaluated in animal experiments, and the algorithm’s feasibility was validated through GO and KEGG pathway analysis, Thermal Hyperalgesia Test, H&E staining, Western blotting (WB), RT-PCR, and ELISA assays.Results: The computational model indicated that YJD and PQT had higher predicted efficacy compared to TSD. …”
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scRNA-Seq reveals age-dependent microglial evolution as a determinant of immune response following spinal cord injury by Lufei Shao, Yueliang Chang, Jinfang Liu, Leilei Lin, Long Chang, Jialin Zhang, Zhibin Lan, Honglai Zhang, Xiaolei Chen

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Artificial Intelligence Teaching System and Data Processing Method Based on Big Data by Bo Xu

“…Based on relevant researches on domestic and foreign related learning analysis and common big data analysis methods, combined with actual learning evaluation goals, this paper proposes an artificial intelligence teaching system using big data analysis methods and a modeling process framework for online learning evaluation and uses student data to carry out predictive evaluation modeling to evaluate student learning outcomes. …”
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A Multi-Feature Fusion Approach for Road Surface Recognition Leveraging Millimeter-Wave Radar by Zhimin Qiu, Jinju Shao, Dong Guo, Xuehao Yin, Zhipeng Zhai, Zhibing Duan, Yi Xu

“…Four machine learning models, namely the Wide Neural Network (WNN), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Kernel methods, are employed as classifiers for both training and testing purposes. …”
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Increased Stress Hyperglycemia Ratio Predicts Poor Clinical Outcome in Critically Ill COPD Patients: A Retrospective Study by Qiao M, Yang H, Qin M, Li Y, Wang H

“…Restricted cubic spline regression models showed a nonlinear correlation between SHR and both ICU mortality and in-hospital mortality (all P< 0.001). …”
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Development of Artificial Intelligent-Based Methodology to Prepare Input for Estimating Vehicle Emissions by Elif Yavuz, Alihan Öztürk, Nedime Gaye Nur Balkanlı, Şeref Naci Engin, S. Levent Kuzu

“…The detailed annotations enhance detection capabilities, enabling the development of more accurate and reliable models for complex environments. This comprehensive dataset is versatile, suitable for applications ranging from autonomous driving to surveillance, and has significantly improved object detection performance, resulting in higher accuracy and robustness in challenging scenarios. …”
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Reliability and Quality of Complex Systems by A.V. Masloboev, V.N. Tsygichko

Genetic association of the kynurenine pathway to suicidal behavior by Rabah Tamimou, Christine Montout, Thibault Mura, Ismael Conejero, Alexandre Evrard, Philippe Courtet, Pablo Bonilla-Escribano, Carlos Riaza, Concepción Vaquero-Lorenzo, Enrique Baca-Garcia, Fabrice Jollant, Serge Lumbroso, Kevin Mouzat, Jorge Lopez-Castroman

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