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  1. 361

    Assessing the Impact of Physical Activity on Dementia Progression Using Clustering and the MRI-Based Kullback–Leibler Divergence by Agnieszka Wosiak, Małgorzata Krzywicka, Katarzyna Żykwińska

    Published 2025-01-01
    “…Then, atrophy-related changes in the brain structures were computed using the Kullback–Leibler divergence. …”
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    Article
  2. 362

    Evaluating anatomical and biochemical responses to cement dust pollution in Quercus castaneifolia C.A. Mey. and Zelkova carpinifolia (Pall.) by Kelij S, Hosseinzadeh Z, Rezapour A

    Published 2025-06-01
    “…This study focused on the structural and biochemical adaptations of Quercus castaneifolia and Zelkova carpinifolia in response to cement dust pollution, which poses a significant environmental risk and adversely affects plant growth. …”
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  3. 363

    Digital Twin-Based and Knowledge Graph-Enhanced Emergency Response in Urban Infrastructure Construction by Chao Chen, Yanyun Lu, Bo Wu, Linhai Lu

    Published 2025-05-01
    “…Urban infrastructure construction poses significant risks to surrounding the infrastructure due to ground settlement, structural disturbances, and underground utility disruptions. …”
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    Article
  4. 364

    Multimodal Issues and Key Technologies in Ocean Observation Data: A Review by Jie Nie, Zijie Zuo, Xinyue Liang, Min Ye, Ning Song, Xiaofeng Li

    Published 2025-01-01
    “…Unlike traditional multimodal problems in unstructured data, ocean observation data are structured scientific data, posing unique challenges. …”
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    Article
  5. 365

    Estimation and prediction in dynamic multi-location multiplex networks by Siddhanth Sabharwal, Yuguo Chen

    Published 2025-07-01
    “…Analyzing the evolution of MLMNs poses substantial challenges due to the complexity of integrating location and edge type. …”
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    Article
  6. 366

    A physics-informed and data-driven framework for robotic welding in manufacturing by Jingbo Liu, Fan Jiang, Shinichi Tashiro, Shujun Chen, Manabu Tanaka

    Published 2025-05-01
    “…However, in real-world industrial applications, the intricate interplay among data quality, model accuracy, and generalizability poses significant challenges, hindering the effective deployment and scalability of data-driven models in complex manufacturing environments. …”
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    Article
  7. 367
  8. 368

    Multi-Scale Attention Fusion Gesture-Recognition Algorithm Based on Strain Sensors by Zhiqiang Zhang, Jun Cai, Xueyu Dai, Hui Xiao

    Published 2025-07-01
    “…The network integrates a local temporal modeling branch, a multi-scale fusion module, and a channel reconstruction mechanism to jointly capture local dynamic transitions and inter-channel structural correlations. Experimental evaluations conducted on both a self-collected strain-gauge dataset and the public sEMG benchmark NinaPro DB1 demonstrate that MACLiteNet achieves recognition accuracies of 99.71% and 98.45%, respectively, with only 0.22M parameters and a computational cost as low as 0.10 GFLOPs. …”
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  9. 369

    A simple and low-cost electrode based on Nafion-stabilized silver nanoparticles supported on FTO for the electrochemical determination of Pb (II) and Cu (II). by Leonardo J Monroy-Cruz, Akemi Morales-Kato, Yndira Dolores-Maldonado, Katiuska Castro, Alen Zimic-Sheen, María Belén Balta, Geraldine J Otayza-Melgarejo, Raúl León, Patricia Sheen, Wilner Valenzuela, Mirko Zimic

    Published 2025-01-01
    “…Increasing awareness of the environmental risks posed by heavy metal accumulation in the environment-due to their toxicity and persistence in biological systems-has driven the development of more efficient and accessible detection methods. …”
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  10. 370

    Cost-efficient behavioral modeling of antennas by means of global sensitivity analysis and dimensionality reduction by Slawomir Koziel, Anna Pietrenko-Dabrowska

    Published 2025-01-01
    “…Moreover, design utility necessitates that the models are defined across wide ranges of frequency, geometry dimensions, and material parameters, posing a significant bottleneck for existing modeling frameworks. …”
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    Article
  11. 371

    AH-YOLO: An Improved YOLOv8-Based Lightweight Model for Fire Detection in Aircraft Hangars by Li Deng, Zhuoyu Wang, Quanyi Liu

    Published 2025-05-01
    “…As high-specification structures, civil aircraft hangars face significant fire risks, including rapid fire propagation and challenging rescue operations. …”
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    Article
  12. 372

    Precision Electrochemical Micro-Machining of Molybdenum in Neutral Salt Solution Based on Electrochemical Analysis by Yuqi Wu, Guoqian Wang, Moucun Yang, Yan Zhang

    Published 2024-09-01
    “…Electrochemical machining (ECM) offers unique advantages in manufacturing fine structures from hard-to-machine metals. Studies have shown that molybdenum exhibits a fast corrosion rate in alkaline or acidic solutions, posing significant environmental pressure. …”
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    Article
  13. 373

    Effect of Anode-to-Cathode Distance on Corrosion Rate and Cathodic Protection of Submerged Low Carbon Steel in Riverine and Marine Environments by Omar Akram Ahmed, Muthana Mahmood Kassim, Nabaa Hussan Abdul Razaq, Mohammed Najy Mohammed

    Published 2025-06-01
    “… Corrosion of submerged steel structures, such as port piers, poses a significant threat to infrastructure durability, especially in aggressive aquatic environments. …”
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    Article
  14. 374

    Mapping cation-eutaxy ternary with a phenomenological model by Jongbum Won, Taeyoung Kim, Minwoo Lee, Daniel W. Davies, Giyeok Lee, Aron Walsh, Aloysius Soon, Jong-Young Kim, Wooyoung Shim

    Published 2025-07-01
    “…Abstract Predicting the stability of ternary compounds poses a significant challenge due to the complex interplay of atomic features. …”
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    Article
  15. 375

    Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection by Sangita Baruah, Vaskar Deka, Dulumani Das, Utpal Barman, Manob Jyoti Saikia

    Published 2025-05-01
    “…The stealthy nature of botnets, characterized by constant alterations in network structures, attack methodologies, and data transmission patterns, poses a growing difficulty in their detection. …”
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  16. 376

    Artificial Neural Network Approach for Predicting Enzymatic Hydrolysis of Steam Exploded Pine Wood Chip in Mild Alkaline Pretreatment by Hyeon Cheol Kim, Si Young Ha, Jae-Kyung Yang

    Published 2025-08-01
    “…Lignocellulosic biomass, particularly softwoods such as pine, poses a significant challenge to enzymatic hydrolysis due to its high lignin content and complex structural rigidity. …”
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  17. 377

    A Novel Framework for Enhancing Decision-Making in Autonomous Cyber Defense Through Graph Embedding by Zhen Wang, Yongjie Wang, Xinli Xiong, Qiankun Ren, Jun Huang

    Published 2025-06-01
    “…Faced with challenges posed by sophisticated cyber attacks and dynamic characteristics of cyberspace, the autonomous cyber defense (ACD) technology has shown its effectiveness. …”
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  18. 378

    PUBLIC-PRIVATE PARTNERSHIP PROCUREMENT TRANSPORT INFRASTRUCTURE DELIVERY: ASSESSING THE MANAGERIAL CAPABILITIES OF PUBLIC-SECTOR ORGANIZATIONS IN AFRICA by Betty Oluwafunso OLOJEDE

    Published 2024-03-01
    “…The lingering imbalance between infrastructural services demand and supply poses serious threats to the fiscal budget balance from contingent liabilities of African countries. …”
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  19. 379

    Stability analysis of semi-submersible floating wind turbines based on gyro-turbine coupled dynamics model by Wancheng Wang, Hao Li, Yihang Yang, Kai Sheng, Lijing Chen

    Published 2025-06-01
    “…The significant motion response of semi-submersible floating offshore wind turbines in marine environments poses challenges for platform stability control and power generation efficiency. …”
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  20. 380

    Debris Flow Susceptibility Prediction Using Transfer Learning: A Case Study in Western Sichuan, China by Tiezhu Li, Qidi Huang, Qigang Chen

    Published 2025-07-01
    “…Seventeen key feature factors based on multi-source remote sensing data encompassing topography and geomorphology, geological structures, environmental elements, and human activities were selected as input parameters after assessment with Pearson correlation analysis. …”
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    Article