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  1. 841

    SIC based RL for massive MIMO NOMA signal detection for different modulation schemes under diverse channel conditions by Arun Kumar, Aziz Nanthaamornphong, Mohammed H. Alsharif, Mehedi Masud

    Published 2025-07-01
    “…GS and AMP balance complexity and performance but still fall short of SIC-RL gains. Overall, SIC-RL has emerged as an optimal solution for massive MIMO signal detection, achieving a superior trade-off between BER, PSD, and computational efficiency across diverse modulation schemes and channel conditions. …”
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  2. 842

    Exploring the opportunities and challenges of using large language models to represent institutional agency in land system modelling by Y. Zeng, C. Brown, C. Brown, J. Raymond, M. Byari, R. Hotz, M. Rounsevell, M. Rounsevell, M. Rounsevell

    Published 2025-03-01
    “…The findings show that, while LLM agents perform better than the non-intervention scenario, they fall short of the performance achieved by optimal policy actions. …”
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  3. 843

    Refining management strategies for Lennox–Gastaut syndrome: Updated algorithms and practical approaches by Stéphane Auvin, Alexis Arzimanoglou, Mercè Falip, Pasquale Striano, J. Helen Cross

    Published 2025-02-01
    “…It is characterized by a variety of different types of seizures (abnormal electrical activity in the brain), which are difficult to treat and often cause people with the condition to fall and injure themselves. Most people with LGS have learning difficulties and need a lot of support, often in residential care. …”
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  4. 844

    ECG-LM: Understanding Electrocardiogram with a Large Language Model by Kai Yang, Massimo Hong, Jiahuan Zhang, Yizhen Luo, Suyuan Zhao, Ou Zhang, Xiaomao Yu, Jiawen Zhou, Liuqing Yang, Ping Zhang, Mu Qiao, Zaiqing Nie

    Published 2025-01-01
    “…However, the interpretation of ECG data alongside patient information demands substantial medical expertise and resources. While deep learning methods help streamline this process, they often fall short in integrating patient data with ECG readings and do not provide the nuanced clinical suggestions and insights necessary for accurate diagnosis. …”
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  5. 845

    Perceptions populaires du risque et savoirs experts en contexte de pandémie : le cas du A(H1N1) au Québec by Raymond Massé, Daniel Weinstock, Michel Désy, Caroline Moisan

    Published 2011-11-01
    “…In Quebec, during the vaccination campaign carried out in the fall of 2009, the spread of information on epidemiological risk was often perceived as contradictory. …”
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  6. 846

    Répression et résurgence du judaïsme dans Daniel Deronda : les voies de la masculinité sont-elles impénétrables ? by Gilbert Pham-Thanh

    Published 2010-06-01
    “…Indeed, it is when the hero learns about his true Jewish identity that all the scattered elements of his literary existence fall into place — he now unerringly senses that he must embark on a Zionist expedition to the East after marrying Mirah, a Jewess he met. …”
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  7. 847

    Capturing constraints on boreal gross primary productivity using the remote sensing-based CAN-TG model. by Ramon Melser, Nicholas C. Coops, Michael A. Wulder, Chris Derksen, Sara H. Knox, Tongli Wang

    Published 2025-07-01
    “…In response to these challenges, we applied the remote sensing-based CAN-TG framework to estimate boreal GPP, leveraged through a random forest (RF) machine learning approach that does not assume linear or functional relationships between input variables and productivity. …”
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  8. 848

    Research on Trajectory Tracking Control Method for Crawler Robot Based on Improved PSO Sliding Mode Disturbance Rejection Control by Zhiyong Yang, Qing Lang, Yuhong Xiong, Shengze Yang, Changjin Zhang, Lielei Deng, Daode Zhang

    Published 2025-03-01
    “…This strategy adaptively adjusts the inertia weight and learning factors, enhancing the algorithm’s global search capability. …”
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  9. 849

    5G Networks Security Mitigation Model: An ANN-ISM Hybrid Approach by Rafiq Ahmad Khan, Habib Ullah Khan, Hathal Salamah Alwageed, Hussein Al Hashimi, Ismail Keshta

    Published 2025-01-01
    “…Conventional threat models may fall short of addressing these emerging threats effectively. …”
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  10. 850

    Identification of High-Photosynthetic-Efficiency Wheat Varieties Based on Multi-Source Remote Sensing from UAVs by Weiyi Feng, Yubin Lan, Hongjian Zhao, Zhicheng Tang, Wenyu Peng, Hailong Che, Junke Zhu

    Published 2024-10-01
    “…Xinmai 916 and Jinong 114 fall into the category of lower photosynthetic efficiency, aligning closely with the results of the clustering analysis based on actual measurements. …”
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  11. 851

    Usability Study of a Wireless Monitoring System among Alzheimer’s Disease Elderly Population by Stefano Abbate, Marco Avvenuti, Janet Light

    Published 2014-01-01
    “…We conducted a usability study of a fall monitoring system in a long-term nursing home. …”
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  12. 852

    High Boron Silicon Nanotubes Combined with Tai Chi Exercise Rehabilitation Therapy in the Treatment of Knee Arthritis Patients by Guang Ma

    Published 2020-01-01
    “…Tai Chi exercise is gentle, convenient, and easy to learn. It is more economical than traditional medical treatments, and it is regarded as the first choice for rehabilitation therapy by patients with knee arthritis. …”
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  13. 853

    Multilevel Feature Fusion-Based GCN for Rumor Detection with Topic Relevance Mining by Shenyu Chen, Meng Li, Weifeng Yang

    Published 2023-01-01
    “…However, existing methods for detecting rumors generally only learn pattern features or text content features from the whole propagation process, which fall short in capturing multilevel features with topic relevance of text content from social media data. …”
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  14. 854

    Effectiveness of interventions for improving educational outcomes for people with disabilities in low‐ and middle‐income countries: A systematic review by Xanthe Hunt, Ashrita Saran, Howard White, Hannah Kuper

    Published 2025-03-01
    “…Abstract Background People with disabilities are consistently falling behind in educational outcomes compared to their peers without disabilities, whether measured in terms of school enrolment, school completion, mean years of schooling, or literacy levels. …”
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  15. 855

    從前瞻因應理論觀點探討翻轉教學策略應用 於退休準備課程在不同需求程度上之 教學成效 Exploring the Application of Flipped Teaching Strategies in Retirement Preparation Courses: An Analysis of Educational Effectiveness From... by 胡夢鯨 Menq-Jing Hwu, 施宇澤 Yu-Ze Shih, 劉霽瑈 Ji-Rou Liu, 陳雅雯 Ya-Wen Chen

    Published 2025-06-01
    “…The 11-week experimental course applied flipped teaching strategies such as pre-class reading, classroom discussions, self-directed learning, and field-based activities. Evaluation tools assessed outcomes across Goal Management, Risk Management, and Learning Management, using pre- and post-tests to validate learning efficacy in each module. …”
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  16. 856
  17. 857

    Information-Theoretic Measures of Metacognitive Efficiency: Empirical Validation with the Face Matching Task by Daniel Fitousi

    Published 2025-03-01
    “…This introspective act is crucial for many aspects of cognition, including perception, memory, learning, emotion regulation, and social interaction. …”
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  18. 858

    Random forest algorithm integrated with an initial basic feasible solution in buckling analysis of a two-dimensional functionally graded porous taper beam by Ravikiran Chinthalapudi, Jagadesh Kumar Jatavallabhula, Geetha Narayanan Kannaiyan, Bridjesh Pappula, Seshibe Makgato

    Published 2025-01-01
    “…This work provides practical insights for the design and optimization of advanced graded structures where conventional models fall short, establishing a novel pathway for the integration of machine learning in structural mechanics.…”
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  19. 859

    Suicide Risk Screening in Jails: Protocol for a Pilot Study Leveraging the Mental Health Research Network Algorithm and Health Care Data by Erin B Comartin, Grant Victor, Athena Kheibari, Brian K Ahmedani, Bethany Hedden-Clayton, Richard N Jones, Ted R Miller, Jennifer E Johnson, Lauren M Weinstock, Sheryl Kubiak

    Published 2025-06-01
    “…Several studies have indicated that machine learning (ML) models considerably improve accuracy and have positive predictive value in detecting suicide risk compared with practice as usual (PAU). …”
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  20. 860

    THE NATURE OF KAZAKH FOLK SONGS by Jumashova Н. А., Токtosunova Т. О.

    Published 2025-01-01
    “…In fact, children's songs cover the period from the first days of a child's life, when they fall to the ground, to the time when they can sit on a horse and learn how to ride it. …”
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