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  1. 661

    Network Analysis of Volatility Spillovers Between Environmental, Social, and Governance (ESG) Rating Stocks: Evidence from China by Miao Tian, Shuhuai Li, Xianghan Cao, Guizhou Wang

    Published 2025-05-01
    “…It explores the risk transmission paths among different ESG-rated groups and analyzes the patterns and impacts of risk transmission during extreme market volatility. …”
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    Article
  2. 662

    Transferring and transformation of nitrogen and phosphorus of wastewater in microalgae, and microalgae-bacteria consortia system by MA Guixia, ZHAO Wenxiang, MU Ruimin, QI Feng, WANG Xihan, XU Xiaoming

    Published 2024-10-01
    “…It was hoped to provide guidance for the treatment of different quality of wastewater and the optimization of treatment process, and give some scientific basis and theoretical support for water environment protection and restoration.…”
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  3. 663

    Trajectory Planning for Robotic Manipulators in Automated Palletizing: A Comprehensive Review by Samuel Romero, Jorge Valero, Andrea Valentina García, Carlos F. Rodríguez, Ana Maria Montes, Cesar Marín, Ruben Bolaños, David Álvarez-Martínez

    Published 2025-04-01
    “…As a result, various types of research have emerged, offering different approaches to the trajectory design optimization of robotic manipulators and their applications. …”
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  4. 664

    Factors influencing health information acquisition behavior from a social capital theory perspective: a study of Zhihu users by Juncheng Jia, Zemenghong Bao, Haochen Wang, Yuqun Cao, Luhan Yu, Kun Lv, Kun Lv

    Published 2025-04-01
    “…However, the behavior of acquiring health information is influenced by multiple factors, resulting in differences and even inequalities. This paper aims to explore the influencing factors of user health information acquisition behavior, find feasible ways to optimize such behavior and maximize the utility of health information for users. …”
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  5. 665

    Numerical study on the influence of material heterogeneity on mode III crack propagation using a phase-field model by Alfat S., Eso R., Barata L. O. A., Rianse M. S.

    Published 2025-06-01
    “…By incorporating material heterogeneity into the phase-field model, we aim to analyze how variations in material properties affect the material’s strength and crack path behavior. The numerical simulations will explore complex interactions between cracks and microstructural features, providing insights into how heterogeneity influences fracture mechanics at different length scales. …”
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  6. 666

    A Computational Investigation of the “Equivalent Substrates” in the Evaporation of Sessile Droplets by Longfei Xu, Xuefeng Xu

    Published 2025-05-01
    “…Conversely, increasing substrate thickness lengthens the heat transfer path, reducing heat conducted to the solid–liquid interface and decreasing evaporation rate. …”
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  7. 667

    MVCG-SPS: A Multi-View Contrastive Graph Neural Network for Smart Ponzi Scheme Detection by Xiaofang Jiang, Wei-Tek Tsai

    Published 2025-03-01
    “…Our approach incorporates three key innovations: (1) Meta-Path-Based View Construction, which constructs multiple views of the data using meta-paths to capture different semantic relationships; (2) Reinforcement-Learning-Driven Multi-View Aggregation, which adaptively combines features from multiple views by optimizing aggregation weights through reinforcement learning; and (3) Multi-Scale Contrastive Learning, which aligns embeddings both within and across views to enhance representation robustness and improve anomaly detection performance. …”
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  8. 668
  9. 669

    Differential quadrature free vibration analysis of sandwich plates with curvilinear fiber variable stiffness composite face sheets by Zhenyu Zhou

    Published 2025-07-01
    “…Key results demonstrate that optimizing the fiber path can enhance the fundamental frequency of VSCL sandwich plates by up to 32.7% (CFFF boundary), providing an efficient design tool for vibration control of aerospace lightweight structures.…”
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  10. 670
  11. 671

    Comparative analysis of methods for predicting train-induced vibrations by Wei-Lun Hsu, Wei-Bin Chen, Meng-Ting Hsieh

    Published 2025-06-01
    “…Additionally, on the basis of the measurement data, the study explored the impact of train length on ground vibration and demonstrated that track ballast can absorb vibration energy along the wave propagation path. A frequency propagation contour plot was also created to analyse vibration energy across different frequencies. …”
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  12. 672
  13. 673

    Technical Concept of Depot Location Selection and Over Station Development Property Matchability by JIANG Zhihua, ZHU Ying

    Published 2025-06-01
    “…It is necessary to analyze the formation causes and propose optimization and improvement suggestions for urban rail transit planning and design. …”
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    Article
  14. 674

    Active ramp-down control and trajectory design for tokamaks with neural differential equations and reinforcement learning by Allen M. Wang, Cristina Rea, Oswin So, Charles Dawson, Darren T. Garnier, Chuchu Fan

    Published 2025-06-01
    “…Abstract The tokamak offers a promising path to fusion energy, but disruptions pose a major economic risk, motivating solutions to manage their consequence. …”
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  15. 675

    Advanced leukocyte classification using attention mechanisms and dual channel U-Net architecture by Gauri Kalnoor, Vijayalaxmi Kadrolli

    Published 2025-04-01
    “…Then, the Dung Beetle Optimization (DBO) algorithm enhanced with Levy flight optimization is implemented for effective image segmentation processes. …”
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  16. 676

    Offshore Optical-wireless Integrated Access Network Deployment Algorithm based on MHA-MAD by LI Xuehua, XI Tong, WANG Xin, HUANG Xiang

    Published 2025-08-01
    “…These challenges include high deployment costs, substantial path losses, and harsh underwater conditions. There is an urgent need to optimize network deployment strategies to reduce costs, risks, and transmission losses in order to build a network that is suitable for the offshore environment.…”
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  17. 677

    A Solution for Predicting the Timespan Needed for Grinding Roller Bearing Rings by Cezarina Chivu, Mitica Afteni, Gabriel Radu Frumusanu, Florin Susac

    Published 2025-04-01
    “…The optimal management of manufacturing processes can be achieved through a set of optimal decisions, which must be made to choose the best method to follow every time the process planner reaches a point when several potential manufacturing paths branch off. …”
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  18. 678

    Designing green and safe micro mobility routes: An advanced geo-analytic decision system based approach to sustainable urban infrastructure by Ömer Kaya

    Published 2025-04-01
    “…Route classes with different nicknames such as GreenLink and UrbanHealth Path have been created; and (v) DOmbi Bonferroni (DOBI) performance evaluation method was used to determine the preferred priority order for route construction in the study area. …”
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  19. 679

    Marine fish species recognition based on improved YOLOv5s by ZHANG Haifeng, LU Xinchun, FENG Bo, YANG Jin

    Published 2024-08-01
    “…Improved some C3 modules of the backbone network, and integrated CA coordination attention mechanism into the C3 module, which improved the recognition accuracy and detection speed of the model while reducing the number of model parameters. Finally, optimized the path aggregation network of the model to enhance the feature fusion ability of the network.ResultsThe experimental results showed that the improved Our⁃YOLOv5s model had a mAP of 98.4% and a detection speed of 64 s-1 in the dataset, which was 2.4% and 6 s-1 higher than the original model, respectively.ConclusionThe model can meet the real⁃time detection requirements of marine fish.…”
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  20. 680

    A multi-modal graph-based framework for Alzheimer’s disease detection by Najmeh Mashhadi, Razvan Marinescu

    Published 2025-07-01
    “…\rightarrow n_T$$ as end-to-end DL predictors. Each directed path in the graph functions as a DL predictor, supporting both forward propagation for transforming data representations, as well as backpropagation for model finetuning, saliency map computation, and input data optimization. …”
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