Exploring fecal microbiota signatures associated with immune response and antibiotic impact in NSCLC: insights from metagenomic and machine learning approaches by Wenjie Han, Wenjie Han, Yuhang Zhou, Yuhang Zhou, Yiwen Wang, Yiwen Wang, Xiaolin Liu, Tao Sun, Tao Sun, Junnan Xu, Junnan Xu, Junnan Xu

“…Among eight machine learning algorithms evaluated, the optimal model was selected to construct a predictive framework for immunotherapy response.ResultsMicrobial α-diversity was significantly elevated in responders compared to non-responders, with antibiotic administration further amplifying this difference—most notably at the species level. …”
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A review of the search for AGB stars by Hai-Ling Lu, Hai-Ling Lu, Yin-Bi Li, A-Li Luo, A-Li Luo, A-Li Luo, Zhi-Qiang Zou, Zhi-Qiang Zou, Zhi-Qiang Zou, Xiao-Ming Kong, Zhen-Ping Yi, Hugh R. A. Jones, Jun-Chao Liang, Jun-Chao Liang, Shuo Li, Shuo Li

“…We also explore the possibility of using interpretable machine learning algorithms to discover new features and applying deep learning algorithms to enhance search efficiency. …”
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Deep observations of the Type IIB flux landscape by A. Chauhan, M. Cicoli, S. Krippendorf, A. Maharana, P. Piantadosi, A. Schachner

“…Specifically, we devise an algorithm designed for the systematic construction of Type IIB flux vacua in finite regions of moduli space. …”
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System analysis in preventive anti-crisis management of textile industry enterprises’ turnover assets by L. V. Narkevich, P. V. Tereliansky

“…The article presents the developed information and analytical platform for working capital management according to the methodology of a systematic approach, considering the specifics of textile production and modern requirements of preventive crisis management. …”
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Research on concrete structure damage detection based on piezoelectric sensing technology and morphological fractal method by Hanqing Zhong, Liwei Shuai, Dongmin Deng

“…Second, it systematically conducts morphological parameter analysis of piezoelectric sensing signals and calculates the morphological fractal dimension (MFD) of piezoelectric signals. …”
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Professional Evolution of School Teacher on Basis of Advanced Pedagogical Experience by N. L. Sokolova

“…The need of a modern school for teachers who are able to integrate pedagogical innovations into professional practice (both individual and mass) indicates the need to create conditions for more effective support of innovative activity of teachers in the framework of professional development, as well as for their perception of certain rules of innovative behaviour and the creation of new varieties, algorithms and methods of systematization and popularization of advanced teaching experience. …”
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Organoprotective Properties of Argon (Review) by E. A. Boeva, O. A. Grebenchikov

“…The search yielded 266 articles. The search algorithm was developed in accordance with the requirements and reporting guidelines for systematic reviews and meta-analysis (PRISMA) in the PubMed and Google Scholar databases. …”
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Survey of node localization scheme in underwater wireless sensor network by YANG Qiuling, ZHU Rongxin, TANG Zhichao, LI Wenjie, HUANG Xiangdang

“…To address this issue, the research progress of current underwater localization technologies was systematically reviewed. Representative methods were divided into three categories, namely traditional algorithms, deep learning models, and reinforcement learning strategies, and they were summarized and compared in terms of their fundamental principles, performance characteristics, and applicable scenarios. …”
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Algoriths and Procedures for Investment Audit Using a Risk-Based Approach by V. А. Yakimova, S. V. Pankova

“…The work used general scientific principles and research methods: systematization, induction and deduction, comparison, comparison, synthesis, analysis of statistical data. …”
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Energy-Efficient Management of Urban Water Distribution Networks Under Hydraulic Anomalies: A Review of Technologies and Challenges by Bowen Duan, Jinliang Gao, Huizhe Cao, Shiyuan Hu

“…Future research should emphasize adaptive AI algorithms, integration of digital twin platforms with control systems, hybrid optimization frameworks, and renewable energy recovery technologies. …”
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Analysis of Energy Sustainability and Problems of Technological Process of Primary Aluminum Production by Yury Valeryevich Ilyushin, Egor Andreevich Boronko

“…The purpose of this study is to systematically summarize scientific data, analyze the key physical factors affecting the energy stability of electrolyzers, and determine promising directions for their solution. …”
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SPATIAL AND INDUSTRIAL APPROACH -THE BASIS FOR THE DEVELOPMENT OF INTEGRATED PROGRAMS OF SOCIO-ECONOMIC DEVELOPMENT OF RURAL TERRITORIES by A. V. Gladilin

“…A block model of the spatial-sectoral approach and a step-by-step algorithm for its implementation in the regional socio-economic system are developed. …”
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Applications of Artificial Intelligence in Psychiatry and Psychology Education: Scoping Review by Julien Prégent, Van-Han-Alex Chung, Inès El Adib, Marie Désilets, Alexandre Hudon

“…The review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. …”
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A survey on PSO based meta-heuristic scheduling mechanism in cloud computing environment by Arabinda Pradhan, Sukant Kishoro Bisoy, Amardeep Das

“…Among various meta-heuristics algorithms, PSO is a famous metaheuristic technique to solved optimization issue. …”
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Theoretical Properties of Closed Frequent Itemsets in Frequent Pattern Mining by Huina Zhang, Hui Li, Yumei Li, Guangqiang Teng, Xianbing Cao

“…Closed frequent itemsets (CFIs) play a crucial role in frequent pattern mining by providing a compact and complete representation of all frequent itemsets (FIs). This study systematically explores the theoretical properties of CFIs by revisiting closure operators and their fundamental definitions. …”
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A Comparative Study of Evolutionary Strategies for Aggregation Tasks in Robot Swarms: Macro- and Micro-Level Behavioral Analysis by Paolo Pagliuca, Alessandra Vitanza

“…In the field of autonomous robotics, aggregation is often studied through various paradigms, with evolutionary algorithms being one of the most widely used tools for evolving this collective behavior. …”
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IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning by U. A. Vishniakou, Xia YiWei

“…After that, the object was selected using the PCA algorithm. The model was trained using the Knn and Random Forest algorithms, as well as the Bayesian neural network. …”
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An Analysis on the Applicability of Meta-Heuristic Searching Techniques for Automated Test Data Generation in Automatic Programming Assessment by Musa et al.

“…Several recent MHST are included in the comparative evaluation combining both the local and global search algorithms ranging from the year of 2000 until 2018. …”
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Explainable machine learning model for predicting the transarterial chemoembolization response and subtypes of hepatocellular carcinoma patients by Yunjie Zhang, Songjian Tong, Junhui Yang, Jiawei Lin, Yifan Kong, Deyu Lu, Yan Chen, Yingchao Li, Linfeng Xu, Xiuyan Kong, Guoqing Zhu, Hao Zhang, Pixu Liu, Zhijie Yu, Jinglin Xia

“…Through recursive feature elimination (RFE), we systematically developed prediction models employing ten distinct ML algorithms. …”
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Prediksi Kesiapan Sekolah Menggunakan Machine Learning Berbasis Kombinasi Adam dan Nesterov Momentum by Indah Mustika Rahayu, Ahmad Yusuf, Mujib Ridwan

“…The research used Artificial Neural Network algorithms with a combination of Adam and Nesterov Momentum optimization method. …”
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