Training a Minesweeper Agent Using a Convolutional Neural Network by Wenbo Wang, Chengyou Lei

“…The mechanisms of the two methods in the Minesweeper task were analyzed, with the reasons for the faster training speed and more stable performance of supervised learning explained from the perspectives of means–ends analysis and feedback control. Although there is room for improvement in sample efficiency and training stability in the DQN model, its greater generalization ability makes it highly promising for application in more complex decision-making tasks.…”
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The benefits, challenges and implications for integrating emerging technologies in risk evaluation procedures for supply chains in transportation logistics by Lord Emmanuel Yamoah, Ronald Osei Mensah, Agyemang Frimpong

“…As global supply chains become more complex, the role of innovative technologies such as artificial intelligence (AI), the Internet of Things (IoT), and blockchain is increasingly vital in improving risk management practices. …”
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Identification of cuproptosis-related genes in chronic apical periodontitis based on bulk and single-cell RNA sequencing analyses and experimental validation by Caiyi Zhang, Jie Zhao, Keqing Pan, Lingshuang Liu, Mengyu Jiao, Changqing Yuan, Chunyan Wan

“…Numerous interactions among these CRGs were observed, highlighting the complexity of protein-protein interactions. ROC curve analysis demonstrated strong diagnostic potential for these genes. …”
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Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD. by Yannick Marcon, Tom Bishop, Demetris Avraam, Xavier Escriba-Montagut, Patricia Ryser-Welch, Stuart Wheater, Paul Burton, Juan R González

“…Combined analysis of multiple, large datasets is a common objective in the health- and biosciences. …”
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Deep Learning-Driven Multi-Temporal Detection: Leveraging DeeplabV3+/Efficientnet-B08 Semantic Segmentation for Deforestation and Forest Fire Detection by Joe Soundararajan, Andrew Kalukin, Jordan Malof, Dong Xu

“…In FireDataset_20m, which presents a severe class imbalance between fire and non-fire pixels, the framework achieves 99.95% accuracy, 93.16% precision, and 91.47% recall. A qualitative analysis confirms the model’s ability to accurately localize fire hotspots and deforested areas. …”
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Multifractal-Aware Convolutional Attention Synergistic Network for Carbon Market Price Forecasting by Liran Wei, Mingzhu Tang, Na Li, Jingwen Deng, Xinpeng Zhou, Haijun Hu

“…By projecting and reconstructing time series data within a multi-scale fractal space, MSC enhances the model’s ability to adapt to complex nonlinear fluctuations while significantly suppressing noise interference. …”
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Long-term health conditions and their impact on people with sleep disturbances and dementia by Penny Rapaport, Ankita Bhojwani, Lucy Webster, Sarah Amador, Malvika Muralidhar, Gill Livingston

“…Conclusions There is a complex relationship between LTCs, dementia and sleep and the effect of LTCs in someone with dementia may be underestimated. …”
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Synchronization Optimization Model Based on Enhanced Connectivity of New Energy Vehicle Supply Chain Network by Haiwei Gao, Xiaomin Zhu, Binghui Guo, Yifan Cao, Haotian Wang, Xiaohan Yu, Xiaobo Yang

“…Methodologically, we employ a combination of complex network theory and nonlinear dynamic systems to construct the synchronization model. …”
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Providing care to refugees through mainstream general practice in the southern health region of New Zealand: a qualitative study of primary healthcare professionals’ perspectives by Tim Stokes, Lauralie Richard, Chrystal Jaye, Georgia Richardson

“…This was instrumental for the development of an empathetic understanding of the complex human trajectories that characterise refugees’ journeys to NZ. …”
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Predicting Forest Evapotranspiration using Remote Sensing and Machine Learning by B. Yadav, L. K. Sharma, B. Bijarniya

“…ML methods, with their ability to handle complex and non-linear relationships to make accurate predictions, can be used to predict ET. …”
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366 Universal representation of human diseases using large language models by Geoffrey Siwo, Ellen R. Bowen, Akbar K. Waljee

“…Here, we examine whether the ability of large language models (LLMs) to learn universal representations of concepts can be leveraged to discover complex relationships across human diseases. …”
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Monochlorotriazinyl-β-cyclodextrin as a promising nanocarrier for pH-responsive doxorubicin delivery: Simulation and experimental validation by Fatemeh Zamani, Mohammad Dinari, Ali Yazdani, Parvin Asadi

“…In this investigation, the ability to form host-guest complexes of monochlorotriazinyl-β-cyclodextrin (MCT-β-CD) as a drug delivery system for Doxorubicin (DOX) was investigated by theoretical and experimental studies. …”
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Towards sustainable precision: A review of water jet meso and micromachining by Mohammad Ghasemian Fard, Akash Nag, Jana Petrů, Sergej Hloch

“…Its significance lies in its ability to process complex geometries in a vast range of materials—including thermally sensitive polymers, brittle advanced ceramics, composites, superalloys, and thin-film structures—without inducing damage. …”
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Deep learning-based action recognition for joining and welding processes of dissimilar materials by Tao He, Xinyuan Jin, Yiming Zou

“…IntroductionJoining and welding processes for dissimilar materials present unique challenges due to the need for precise monitoring and analysis of complex physical and chemical interactions. …”
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Planning and management of logistic cycle by V. N. Kudashkin

“…Application of these methods allows forecasting material flows, creating the integrated management systems and controlling their movements, developing systems of logistic service, to optimize supply stock and solve a number of other tasks.A logistic approach to form a modern system of logistics will save time, reduce costs for the purchase of material resources, their delivery and storage.In modern conditions of the market economy, the considered time parameters of the logistic chain are essential for manufacturing enterprises because their records significantly increase the efficiency of the logistical system.Logistics is equipped with a special complex of economic and mathematical models, the main feature of which is the adaptability, i.e. ability to solve complex optimization problems in the operational mode and in the process of the management of material flows. …”
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Intervention of machine learning in bladder cancer research using multi-omics datasets: systematic review on biomarker identification by Blessy Kiruba, P. S. Athul Narayan, Badhari Raj, S. Rohieth Raj, Sam George Mathew, Sudhakaran Sajitha Lulu, Vino Sundararajan

“…Hence, machine learning (ML), with its ability to process high-dimensional data and identify complex patterns, offers a promising patient outcome. …”
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Structural Basis for Recognition of Human Enterovirus 71 by a Bivalent Broadly Neutralizing Monoclonal Antibody. by Xiaohua Ye, Chen Fan, Zhiqiang Ku, Teng Zuo, Liangliang Kong, Chao Zhang, Jinping Shi, Qingwei Liu, Tan Chen, Yingyi Zhang, Wen Jiang, Linqi Zhang, Zhong Huang, Yao Cong

“…Four three-dimensional structures of EV71 particles in complex with IgG or Fab of D5 were reconstructed by cryo-electron microscopy (cryo-EM) single particle analysis all at subnanometer resolutions. …”
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Multitask semantic change detection guided by spatiotemporal semantic interaction by Yinqing Wang, Liangjun Zhao, Yueming Hu, Hui Dai, Yuanyang Zhang

“…To address this issue, this study proposes a network that guides multitask semantic change detection through spatiotemporal semantic interaction (STGNet). STGNet enhances the ability to capture spatial details by introducing a Detail-Aware Path (DAP) and designs a Bidirectional Guidance Module for Spatial Detail and Semantic Information for adaptive feature selection, improving feature extraction capabilities in complex scenes. …”
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Identification of Lr-genes in the breeding lines of spring soft wheat, tolerant to the pathogen of brown rust in the Central Black earth region by Yu. V. Zeleneva, V. V. Plakhotnik, V. P. Sudnikova

“….: 8(4752)62-90-60, e-mail: tmbsnifs@mail.ru) Identification of Lr-genes in the breeding lines of spring soft wheat, tolerant to the pathogen of brown rust in the Central Black earth region The research showed that the direct introduction of the donors of other regions into the breeding process do not always give a desired result because of the weak adaptive ability of the following generations. The development of highly efficient genetic sources and donors adapted to the regional conditions and possessing a complex of positive traits and properties (e.g. group and/or complex tolerance to stress factors of environment) is of special importance, in order not to damage the balance of associated genes among wheat varieties in the CNeR and to increase breeding results. …”
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METHODS FOR SEARCHING AND COMPARING OBJECTS WHEN APPLYING THE SUBJECT-SUBJECT APPROACH TO MANAGEMENT REVIEW by N.Yu. Zaitseva, T.V. Moiseeva