Prognostic genes in colon cancer and their correlation with immune cells: an analysis based on bioinformatics by Gu Zhiwen, Wu Yinteng, Liao Cun, Ma Hui, Zhang Sen, Zhang Xiaolong

“…The prognosis-related genes were screened and their expression was verified by qPCR. Cibersort algorithm was used to analyze the correlation between prognostic genes and immune cells. …”
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Not stealing from the treasure chest (or just a bit): Analyses on plant derived writing supports and non-invasive DNA sampling. by Anna Schulz, Silke Lautner, Jörg Fromm, Markus Fischer

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Linking dietary fiber to human malady through cumulative profiling of microbiota disturbance by Xin Zhang, Huan Liu, Yu Li, Yanlong Wen, Tianxin Xu, Chen Chen, Shuxia Hao, Jielun Hu, Shaoping Nie, Fei Gao, Gengjie Jia

“…Abstract Dietary fiber influences the composition and metabolic activity of microbial communities, impacting disease development. …”
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Machine-learning of medical cannabis chemical profiles reveals analgesia beyond placebo expectations by Adi Hatav, Yelena Vysotski, Anna Shapira, Shiri Procaccia, David Meiri, Dvir Aran

“…Model robustness was evaluated using six additional machine learning algorithms. Results Here we show that incorporating chemical composition markedly improves the prediction of pain relief (AUC = 0.63 ± 0.10) compared to models using only demographic and clinical features (AUC = 0.52 ± 0.09; p < 0.001). …”
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Heuristics for Multiobjective Optimization of Two-Sided Assembly Line Systems by N. Jawahar, S. G. Ponnambalam, K. Sivakumar, V. Thangadurai

“…This paper proposes two heuristics to evolve optimal Pareto front for the TALBP under consideration: Enumerative Heuristic Algorithm (EHA) to handle problems of small and medium size and Simulated Annealing Algorithm (SAA) for large-sized problems. …”
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Blockchain-Enabled Robust-Game Electricity Transaction Model for a Multi-Microgrid System Considering Wind Power Uncertainty by Jiayu Wu, Yang Liu, Qiming Yang, Wenfeng Li

“…An alternating robust-game procedure integrating the C&#x0026;CG algorithm and non-cooperative game model is developed to solve the MMS robust-game model. …”
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Robust Switching Control and Subspace Identification for Flutter of Flexible Wing by Yizhe Wang, Zhiwei Xu, Wei Li

“…Active flutter suppression and subspace identification for a flexible wing model using micro fiber composite actuator were experimentally studied in a low speed wind tunnel. …”
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Active Transient Sound Radiation Control from a Smart Piezocomposite Hollow Cylinder by Seyyed HASHEMINEJAD, Vahid RABBANI

“…The control gain parameters are identified and tuned using Genetic Algorithm (GA) with a multi-objective performance index that constrains the key elasto-acoustic system parameters and control voltage. …”
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Ways to integrate artificial intelligence technologies into training programs for government and municipal employees by A. O. Bidzhiev, L. A. Filimoniuk

“…According to the results of the study, the most common problems of integrating AI technologies into training programs are the shortage of qualified personnel, the lack of modern technical infrastructure and the low level of development of the relevant regulatory and legal framework – can be solved through large-scale cooperation with relevant companies, the creation of virtual laboratories using cloud platforms, as well as the formation of information and analytical systems containing auxiliary technologiesAt the same time, the actions of educational institutions within the framework of each approach require advance planning and should be carried out according to certain sequential algorithms.…”
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A Method of Sample Models of Program Construction in Terms of Petri Nets by D. I. Kharitonov, E. A. Golenkov, G. V. Tarasov, D. V. Leontyev

“…Petri net samples with certain characteristics are necessary in programming new algorithms for program analysis; in particular, they can be used for developing or optimizing algorithms of Petri nets compositions and decompositions, building the reachability tree, checking invariants and so on. …”
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Urban monitoring, evaluation and application of COVID-19 listed vaccine effectiveness: a health code blockchain study by Tao Wang, Hongyan Li, Chaoqun Li, Zheheng Li

“…Based on population mobility, the algorithm principle of urban optimal vaccination strategy is given. …”
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A Review of Smart Grid Evolution and Reinforcement Learning: Applications, Challenges and Future Directions by Na Xu, Zhuo Tang, Chenyi Si, Jinshan Bian, Chaoxu Mu

“…This study compares the applicability, advantages, and limitations of different reinforcement learning algorithms in practical scenarios, and reveals core challenges such as state space complexity, learning stability, and computational efficiency. …”
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Migrating Birds Optimization for the Seaside Problems at Maritime Container Terminals by Eduardo Lalla-Ruiz, Christopher Expósito-Izquierdo, Jesica de Armas, Belén Melián-Batista, J. Marcos Moreno-Vega

“…In this algorithm, a set of solutions of the problem at hand, called birds, cooperate among themselves during the search process by sharing information within a V-line formation. …”
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The Design and Experiment of a Motion Control System for the Whole-Row Reciprocating Seedling Picking Mechanism of an Automatic Transplanter by Jiawei Shi, Jianping Hu, Wei Liu, Junpeng Lv, Yongwang Jin, Mengjiao Yao, Che Wang

“…The results showed that the S-curve acceleration and deceleration motion control algorithm reduced the average mass loss rate of seedlings by 46.19% compared with the trapezoidal acceleration and deceleration motion control algorithm, and the seedling picking efficiency met the design requirements. …”
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Advances in the application of machine learning technology in the field of environmental health by ZHENG Yu, LI Cheng, HU Guiping, JIA Guang

“…Among them, advanced machine learning (ML) algorithms can reveal laws that are difficult for humans to detect, showing important potential in biomarker identification, disease prevention, and environmental engineering optimization. …”
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Supervised Reinforcement Learning-Based Collaborative Master–Slave Harvest Control Study in Wheat by Zhikai Ma, Chao Zhang, Wei Wang, Hao Wang, Helong Yu, Chunjiang Zhao

“…Firstly, to improve the algorithm training success rate, a supervisor trained on actual driving data is introduced into the actor–critic reinforcement learning method. …”
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Modeling Air Combat Behavior for Simulation-Based Pilot Training: A Survey of Machine Learning Approaches by Andreas Strand, Patrick Ribu Gorton, Karsten Brathen

“…Recent advancements in machine learning, specifically reinforcement learning, imitation learning, and evolutionary algorithms, offer scalable alternatives by enabling agents to learn complex behavior from data. …”
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The role of explainable AI in enhancing breast cancer diagnosis using machine learning and deep learning models by Zulfikar Ali Ansari, Manish Madhava Tripathi, Rafeeq Ahmed

“…Although artificial intelligence (AI) has showed amazing promise in breast cancer prediction mainly machine learning (ML) algorithms as well as deep learning (DL), practical use of these models is greatly hampered by their lack of interpretability and transparency. …”
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The role of artificial intelligence in enhancing disaster preparedness and trauma care by Mohamad Sorani

“…This article underscores the urgent need for interdisciplinary research, investment, and international cooperation to fully realize AI's transformative potential in these critical fields.…”
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The Invisible World of Images. From “Nonhuman” to “Undigital” Photography in Joanna Zylinska’s Reflections by Piotr Zawojski

“…In her latest proposals addressing the issues of the functioning of art in the era of algorithmic systems, the author develops the concept of undigital photography, which constitutes an extension of thinking about those manifestations of photography that are not of/by/for the human. …”
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