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  1. 3361
  2. 3362

    UAV Path Optimization for WSN in Smart Agriculture by Katia Karam, Ali Mansour, Mohamad Khaldi, Benoit Clement, Mohammad Ammad-Uddin

    Published 2025-01-01
    “…The achieved improvements validate the effectiveness of our method, making it a promising solution for UAV-WSN applications in smart agriculture and beyond.…”
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    Article
  3. 3363

    The adherence to the guidelines for assessing and treating Wernicke's encephalopathy in patients with alcohol withdrawal by Morgan Inwood, Fiona McGrehan, Ann Lockman

    Published 2025-07-01
    “…Further education on the risk assessment of WE and its treatment is essential, and integrating the guidelines into the alcohol withdrawal protocol could facilitate appropriate prescribing.…”
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    Article
  4. 3364

    Spatial extension of soil water regime variables derived from soil moisture values using geomorphological variables in Hungary by Tamás Deák, András Dobai, Zoltán Károly Kovács, Ferenc Molnár, Endre Dobos

    Published 2024-12-01
    “…This study addresses the challenge of extending soil moisture data and related soil water regime variables in heterogeneous agricultural landscapes by integrating geomorphological variables (GVs) derived from high-resolution digital elevation models (DEM). …”
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    Article
  5. 3365

    From immune evasion to broad in silico binding: computational optimization of SARS-CoV-2 RBD-targeting nanobody by Shuyuan Cao, Bo Sun, Feng Gao, Feng Gao, Feng Gao

    Published 2025-08-01
    “…By enhancing nanobody efficacy, our method provides a viable framework for developing targeted countermeasures against evolving SARS-CoV-2 variants and other pathogens.…”
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    Article
  6. 3366

    Indirect sliding mode adaptive fractional order nonlinear observer based controller with fractional order single-ended primary inductor converter by Sena Alemu Wondimu, Desalegn Tsega Dagne, Kinde Anlay Fante

    Published 2025-09-01
    “…The Mittag-Leffler function, along with Lyapunov methods, are used to analyze the system’s dynamic stability. …”
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    Article
  7. 3367

    Multi-environmental evaluation of barley core collection against spot blotch for genetic variability and identification of promising genotypes exhibiting resistance by Shiv Shankar Patel, Shyam Saran Vaish, Sherry Rachel Jacob, Gyanendra Pratap Singh, Vikender Kaur

    Published 2025-08-01
    “…Host resistance presents a sustainable, cost-effective, and eco-friendly method for disease management. The extent of resistance and the number of resistant accessions are limited within barley genetic resources. …”
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    Article
  8. 3368

    Constrained reduced-order modeling using bounded Gaussian processes for physically consistent reacting flow predictions by Muhammad Azam Hafeez, Alberto Procacci, Axel Coussement, Alessandro Parente

    Published 2025-09-01
    “…We validate the proposed methods using a synthetic dataset and a benchmark case of one-dimensional laminar NH3/H2 flames. …”
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    Article
  9. 3369
  10. 3370

    Calculation of COVID-19 disease burden using Monte Carlo simulation with dynamic disability weights and analysis of transmission characteristics by Wenxiu Chen, Wei An, Qun Gao, Ji Bai, Hua Li, Song Tang, Wenhui Gao, Zhe Tian, Yu Zhang, Min Yang

    Published 2025-06-01
    “…These distributions were integrated into Monte Carlo simulations to model real-time disease burden, offering robust data to support evidence-based policy decisions and optimize resource allocation. …”
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    Article
  11. 3371
  12. 3372

    Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line by Sahatsawat Wainiphithapong, Chana Phutthananon, Sompote Youwai, Pitthaya Jamsawang, Phattarawan Malaisree, Ochok Duangsano, Pornkasem Jongpradist

    Published 2025-10-01
    “…Using long short-term memory (LSTM) neural networks as predictive models, the results yield coefficient of determination (R2) values of 0.81 and 0.96, root mean square error (RMSE) values of 5.91 mm/min and 3.09 mm, and average bias factor values of 0.99 and 0.88 for the P and S predictive models, respectively, based on validation datasets. This integrated framework, which combines the non-dominated sorting genetic algorithm (NSGA-II) with LSTM neural networks, is applied to MOO to identify the optimal SOPs, while accounting for their influence on S variation as a time-series over 11 timesteps, as considered in this study. …”
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    Article
  13. 3373

    Predicting forest above-ground biomass using SAR imagery and GEDI data through machine learning in GEE cloud by Chiranjit Singha, Kishore Chandra Swain, Satiprasad Sahoo, Ayad M. Fadhil Al-Quraishi, Joseph Omeiza Alao, Hussein Almohamad, Mohamed Fatahalla Mohamed Ahmed, Hazem Ghassan Abdo

    Published 2025-04-01
    “…The Random forest-based Boruta method was used to examine the importance of multiple factors contributing to the prediction’s accuracy. …”
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    Article
  14. 3374

    Core outcomes for the evaluation of new healthcare programmes – a modified Delphi study by Benjamin P. Harvey, Emmelie Barenfeld, Joakim Öhlén, Jana Bergholtz, Carl Johan Orre, Tomas Lindroth, Hanna Gyllensten

    Published 2025-05-01
    “…The outcomes underwent a two-round modified Delphi method with representative groups including managerial decision-makers, researchers, health workers, and patients/patient representatives. …”
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    Article
  15. 3375

    Enhancing Pear Tree Yield Estimation Accuracy by Assimilating LAI and SM into the WOFOST Model Based on Satellite Remote Sensing Data by Zehua Fan, Yasen Qin, Jianan Chi, Ning Yan

    Published 2025-02-01
    “…Therefore, the RF algorithm was selected as the preferred method for LAI inversion in this study. Subsequently, the study further explored the potential of data assimilation techniques in enhancing the accuracy of pear yield simulation. …”
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    Article
  16. 3376

    Construction of an evaluation indicator system for the emergency management capability of major infectious diseases in urban communities by Xiuying Guan, Wentao Li, Nan Cui, Jiacen Yu, Libin An

    Published 2025-07-01
    “…The modified Delphi method was applied to refine the third-level indicators for the evaluation system. …”
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    Article
  17. 3377
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  19. 3379

    Optimizing blood-brain barrier permeability in KRAS inhibitors: A structure-constrained molecular generation approach by Xia Sheng, Yike Gui, Jie Yu, Yitian Wang, Zhenghao Li, Xiaoya Zhang, Yuxin Xing, Yuqing Wang, Zhaojun Li, Mingyue Zheng, Liquan Yang, Xutong Li

    Published 2025-08-01
    “…Our approach utilizes a variational autoencoder (VAE) generative model integrated with reinforcement learning for multi-objective optimization. …”
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  20. 3380