Integration of machine learning and experimental validation to identify the prognostic signature related to diverse programmed cell deaths in breast cancer by Longpeng Li, Longpeng Li, Jinfeng Zhao, Yaxin Wang, Zhibin Zhang, Wanquan Chen, Jirui Wang, Yue Cai

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Integrative genomic analysis and diagnostic modeling of osteoporosis: unraveling the interplay of autophagy, osteogenesis, adipogenesis, and immune infiltration by Lin-Jing Han, Jian-Zong Zhu, Jian-Zong Zhu, Hong-Cai Liu, Xiao-Sheng Lin, Xiao-Sheng Lin, Shu-Zhong Yang

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Research on status monitoring and positioning compensation system for digital twin of parallel robots by Yuting Zhang, Pei Gao, Zongyan Wang, Quanling He

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Cluster Policy Based on the Analysis of the Situation in the Municipality by Yu. N. Lapygin, D. V. Tulinova

“…An algorithm for constructing a cluster policy at the level of the municipality based on the results of the analysis of factors of the external and internal environment is developed. …”
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Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired Optimizer by J.-S. Chou, H.-M. Nguyen, H.-P. Phan, K.-L. Wang

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Green Infrastructure and Integrated Optimisation Approach Towards Urban Sustainability: Case Study in Altstetten-Albisrieden, Zurich by Yingying Jiang, Sacha Menz

“…Furthermore, clustering algorithms were utilised to generate spatial patterns indicative of unique land characteristics. …”
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Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning. by Huu Hoang, Shinichiro Tsutsumi, Masanori Matsuzaki, Masanobu Kano, Keisuke Toyama, Kazuo Kitamura, Mitsuo Kawato

“…Although the cerebellum is typically associated with supervised learning algorithms, it also exhibits extensive involvement in reward processing. …”
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The time-changed stochastic approach and fractionally integrated processes to model the actin-myosin interaction and dwell times by Nikolai Leonenko, Enrica Pirozzi

“…We make use of the fractional calculus approach with the purpose of constructing non-Markov processes for models with $ memory. $ A time-changed process and a fractionally integrated process are proposed for the two models. …”
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Integrated multiomics analysis identifies potential biomarkers and therapeutic targets for autophagy associated AKI to CKD transition by Yaojun Wang, Qiang Li

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Unveiling the ageing-related genes in diagnosing osteoarthritis with metabolic syndrome by integrated bioinformatics analysis and machine learning by Jian Huang, Lu Wang, Jiangfei Zhou, Tianming Dai, Weicong Zhu, Tianrui Wang, Hongde Wang, Yingze Zhang

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Unveiling the role of oxidative stress in ANCA-associated glomerulonephritis through integrated machine learning and bioinformatics analyses by Liyuan Xie, Xianying Qiu, Junya Jia, Tiekun Yan, Pengcheng Xu

“…In the current study, we obtained differentially expressed genes from AAGN-related microarray datasets in the Gene Expression Omnibus database, and oxidative stress-related genes (OSRGs) from the GeneCards and Gene Ontology databases to identify differentially expressed OSRGs. Then, by integrating weighted gene co-expression network analysis, and machine learning algorithms, we identified four upregulated hub OSRGs (all p < 0.01) with strong diagnostic potential (all AUC > 0.9)-CD44, ITGB2, MICB, and RAC2 – in the AAGN glomerular training dataset GSE104948 and validation dataset GSE108109, along with two hub OSRGs (all p < 0.05) with better diagnostic potential (all AUC > 0.7) – upregulated gene VCAM1 and downregulated gene VEGFA-in the AAGN tubulointerstitial training dataset GSE104954 and validation dataset GSE108112. …”
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Integrating population genetics and species distribution models to predict red seabream distribution under climate change by Binbin Shan, Wenhao Huang, Mengyi Zhang, Liangming Wang, Yan Liu, Changping Yan, Manting Liu, Qijian Xie, Jianwei Zou, Linlin Zhao, Dianrong Sun

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Integrative Analysis of Neutrophil-Associated Genes Reveals Prognostic Significance and Immune Microenvironment Modulation in Cervical Cancer by Ting Hu, Haijing Wu, Xinghan Cheng, Haoyue Gao, Min Yang

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Integrating bioinformatics and machine learning to identify biomarkers of branched chain amino acid related genes in osteoarthritis by Xiao-Zhi ZhaYang, Yan-Xiong Chen, Wen-Da Hua, Zheng-Lin Bai, Yun-Peng Jin, Xing-Wen Zhao, Quan-Fu Liu, Zeng-Dong Meng

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Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques by Liuqing Yang, Liuqing Yang, Liuqing Yang, Rui Xuan, Rui Xuan, Rui Xuan, Dawei Xu, Dawei Xu, Dawei Xu, Aming Sang, Aming Sang, Aming Sang, Jing Zhang, Jing Zhang, Jing Zhang, Yanfang Zhang, Xujun Ye, Xinyi Li, Xinyi Li, Xinyi Li

“…Following this, we integrated the DEGs with the genes from key modules as determined by Weighted Gene Co-expression Network Analysis (WGCNA), identifying 262 overlapping genes. 12 core genes were subsequently selected using three machine-learning algorithms: random forest (RF), Least Absolute Shrinkage and Selection Operator (LASSO), and Support Vector Machine-Recursive Feature Elimination (SVW-RFE). …”
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Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction by DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en

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Multi-agent air combat simulation based on NetLogo by JIA Honggang, WANG Wei, CHENG Nan

“…The system not only supports expert algorithms but also integrates DDQN reinforcement learning algorithm via Python extensions, enabling intelligent agents to make maneuver and attack decisions. …”
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An intelligent partial charging navigation strategy for electric vehicles by Jinsheng Xiao, Bang Sun, Xun Gao, Hua Yang, Liyuan Wang

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Robust adaptive control with dung beetle optimization algorithm and disturbance observer for load displacement tracking of shock absorber damper test bench. by Xiangfei Tao, Kailei Liu, Dong Han, Jing Yang, Hongbin Qiang

“…To simulate and analyze the control method for the electro-hydraulic servo system of the test bench, a joint simulation model integrating Simulink and AEMSim is constructed. The performance of the proposed robust adaptive controller with DBO and DO is compared against an unoptimized robust adaptive controller and a traditional PID controller in terms of load displacement tracking. …”
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Coupled experimental assessment and machine learning prediction of mechanical integrity of MICP and cement paste as underground plugging materials by Oladoyin Kolawole, Rayan H. Assaad, Matthew P. Adams, Mary C. Ngoma, Alexander Anya, Ghiwa Assaf

“…The best ML algorithm to predict the macro-scale mechanical integrity of a MICP-cemented specimen is the RF model (R2 for UCS = 0.9738 and Ks = 0.9988; MAE for UCS = 1.04 MPa and Ks = 0.02 MPa·√m). …”
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