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  1. 49121
  2. 49122

    Antioxidant activity analysis of new interspecific hybrid germplasm thyme and oregano essential oils with different chemotypes by Meiyu Sun, Jiahui Miao, Yanan Zhang, Yuanpeng Hao, Jinzheng Zhang, Hui Li, Hongtong Bai, Lei Shi

    Published 2025-01-01
    “…Abstract Thyme and oregano essential oils (EOs) and their components have numerous applications in the pharmaceutical, food, and cosmetic industries owing to their antioxidant, antibacterial, antifungal, anti-inflammatory, antiviral, and immunological properties. …”
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  3. 49123

    Study on the Bearing Characteristics and the Influence of Pile Characteristics of Rotary Drilling Screw-Shaped Pile by Sifeng Zhang, Yang Xing, Gongfeng Xin, Guodong Chen, Guanxu Long, Pengfei Ma, Jianyong Han

    Published 2024-11-01
    “…Based on the field-measured data, the stress characteristics of the rotary drilling screw pile are analyzed by FLAC3D6.0 finite difference software, and the pile characteristics affecting the vertical bearing capacity of the rotary drilling screw-shaped pile are studied. …”
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  4. 49124
  5. 49125

    In vitro experiment and computational fluid dynamics simulation study on blood pump for total cavopulmonary connection circulation by Yong Wu, Tong Chen, Yunhan Cai, Shengzhang Wang, Shengzhang Wang, Shengzhang Wang, Haiyan Lu

    Published 2025-04-01
    “…The high consistency between simulation results and experimental data confirms the effectiveness of the CFD simulation method, laying the foundation for further optimization of blood pump performance.…”
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  6. 49126
  7. 49127

    Self compacting concrete with recycled aggregate compressive strength prediction based on gradient boosting regression tree with Bayesian optimization hybrid model by Emad A. Abood, Zainab Abdulrdha Thoeny, Noralhuda M. Azize, Hamza Imran, Viroon Kamchoom, Kennedy C. Onyelowe, Krishna Prakash Arunachalam

    Published 2025-08-01
    “…Abstract Self-compacting concrete (SCC) is a special type of concrete that is used in applications requiring high workability, such as in densely reinforced or complex formwork situations. …”
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    Article
  8. 49128

    Evaluating and enhancing the service capacity of secondary public hospitals in urban China: a multi-method empirical analysis based on Guangzhou (2019–2023) by Baoling Wu, Baoling Wu, Wenbo Wu, Xi Wang, Weizhang Huang, Zhenni Luo, Jifeng Li

    Published 2025-06-01
    “…The proposed evaluation model demonstrates strong applicability and scalability, offering theoretical and empirical insights for healthcare system governance in other rapidly urbanizing regions.…”
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  9. 49129

    Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification by Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, Igor Fortel, Liang Zhan, Alex Leow, Giuseppe Baselli

    Published 2025-01-01
    “…This lays the foundation for bioengineering advancements in developing more comprehensive and trustworthy DL models, potentially enhancing their applicability as diagnostic support tools for neurodegenerative diseases.…”
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  10. 49130

    Evaluating Second-Generation Deep Learning Technique for Noise Reduction in Myocardial T1-Mapping Magnetic Resonance Imaging by Shungo Sawamura, Shingo Kato, Naofumi Yasuda, Takumi Iwahashi, Takamasa Hirano, Taiga Kato, Daisuke Utsunomiya

    Published 2025-05-01
    “…Images were reconstructed with and without SR-DLR using identical scan data. Phantom studies using seven homemade phantoms with different Gd-DOTA dilution ratios were also conducted. …”
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    Article
  11. 49131

    Benchmarking Open-Source Large Language Models for Sentiment and Emotion Classification in Indonesian Tweets by Arbi Haza Nasution, Aytug Onan, Yohei Murakami, Winda Monika, Anggi Hanafiah

    Published 2025-01-01
    “…Future work should explore fine-tuning multilingual LLMs on Indonesian data and practical deployment strategies in real-world applications.…”
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  12. 49132
  13. 49133

    A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results by Bendiaf Messaoud, Khelifi Hakima, Mohdeb Djamila, Belazzoug Mouhoub, Saifi Abdelhamid

    Published 2025-03-01
    “…These algorithms can learn from historical data to identify complex relationships between different variables, and then make predictions about the outcome of future matches. …”
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  14. 49134

    Improved lightweight DeepLabV3+ for bare rock extraction from high-resolution UAV imagery by Pengde Lai, Chao Lv, Lv Zhou, Shengxiong Yang, Jiao Xu, Qiulin Dong, Meilin He

    Published 2025-11-01
    “…The research results can provide accurate bare rock information to support geological hazard monitoring and early warning, and offer new technical solutions for ecological restoration and risk assessment. (Data sets and code links: https://figshare.com/articles/dataset/Bare_rock_dataset/28143443?…”
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  15. 49135
  16. 49136

    Unmet psychological needs underlying mobile phone dependence among medical undergraduates: a qualitative study based on the basic psychological needs theory by Jun Chen, Jun Chen, Yanxia Guo, Ruiyu Huang, Gang Liu, Baolu Zhang

    Published 2025-06-01
    “…Our study aimed to explore the unmet psychological needs underlying mobile phone dependence among medical undergraduates from the Basic Psychological Needs Theory (BPNT) perspective through interviews.MethodsFifteen undergraduate medical students exhibiting mobile phone dependence were recruited through purposive sampling for in-depth, semi-structured interviews at a medical university in China. Data were analyzed using Braun and Clarke’s deductive thematic analysis method.ResultsOur study identified four main themes and nine subthemes. …”
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  17. 49137
  18. 49138
  19. 49139

    Generative Adversarial Networks for Climate-Sensitive Urban Morphology: An Integration of Pix2Pix and the Cycle Generative Adversarial Network by Mo Wang, Ziheng Xiong, Jiayu Zhao, Shiqi Zhou, Yuankai Wang, Rana Muhammad Adnan Ikram, Lie Wang, Soon Keat Tan

    Published 2025-03-01
    “…Additionally, CycleGAN-enhanced outputs exhibited a 35% reduction in relative error compared to Pix2Pix-generated images, significantly improving edge preservation and urban feature accuracy. By incorporating LCZ data, the proposed framework successfully bridges urban morphology modeling with climate-responsive urban planning, enabling adaptive design strategies for mitigating UHI effects. …”
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  20. 49140

    A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

    Published 2025-01-01
    “…Some of the major benefits of these PEMFCs especially in power system applications include low emission of carbon, fast load following capability, no noise and high start-up reliability. …”
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