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  1. 1401
  2. 1402

    Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing by Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, Abdallah Namoun, Mazhar Ali, Abdullah Alourani

    Published 2025-01-01
    “…The Dueling DQN alleviates the complexity of simultaneous offloading and resource allocation decisions, with each branch independently controlling a subset of the decision variables to scale efficiently with an increasing number of IoT devices, thereby avoiding the combinatorial explosion of potential actions. …”
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  3. 1403

    Investigating Whether AI Will Replace Human Physicians and Understanding the Interplay of the Source of Consultation, Health-Related Stigma, and Explanations of Diagnoses on Patien... by Weiqi Guo, Yang Chen

    Published 2025-03-01
    “…The main effects and interaction effects of the variables were examined on individuals’ functional, relational, and emotional evaluations of the medical consultation. …”
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  4. 1404

    Factors Influencing Telemedicine Adoption Among Health Care Professionals: Qualitative Interview Study by Fiona Schürmann, Daniel Westmattelmann, Gerhard Schewe

    Published 2025-01-01
    “…Perceived benefits encompassed convenience through reduced travel time (5/14, 36%), improved care quality due to higher accessibility (8/14, 57%), and operational efficiency (7/14, 50%). Trust referents played a pivotal role; trust in technology was linked to functionality (6/14, 43%) and reliability (5/14, 36%), while trust in treatment depended on effective collaboration (9/14, 64%). …”
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  5. 1405

    REALITIES AND EFFECTIVENESS OF THE UKRAINIAN BANKING SYSTEM by Maryna Korol, Olena Bazhenova, Ihor Korol, Grygoriy Starchenko, Volodymyr Bazhenov, Oksana Banna

    Published 2022-07-01
    “…The simulation results (mainly the analysis of impulse response functions) allow concluding that interbank lending in post-crisis conditions recovers relatively rapidly (with a lag of two years). …”
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  6. 1406

    Recent Advances in Vitamin E TPGS-Based Organic Nanocarriers for Enhancing the Oral Bioavailability of Active Compounds: A Systematic Review by Chee Ning Wong, Siew-Keah Lee, Yang Mooi Lim, Shi-Bing Yang, Yik-Ling Chew, Ang-Lim Chua, Kai Bin Liew

    Published 2025-04-01
    “…Despite using the same excipient, variability in particle size, zeta potential, and encapsulation efficiency among nanocarriers indicates the need for tailored formulations. …”
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  7. 1407

    Strategies to support the mental health and well-being of health and care workforce: a rapid review of reviews by Cindy E. Frias, Nimesh Samarasinghe, Cecilia Cuzco, Jaseem Koorankot, Andrés de Juan, Husameldin Mohamed Ali Rudwan, Hanan F. Abdul Rahim, Adela Zabalegui, Iain Tulley, Sanaa T. Al-Harahsheh, Mona Shaheen S. T. Al-Homaiddi, Meredith Fendt-Newlin, Jim Campbell

    Published 2025-03-01
    “…The call to action for a paradigm shift must be embraced and we must strive to build resilient healthcare systems and invest in active support and sustain them, incorporating structural, non-structural and functional aspects of organizational resilience.…”
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  8. 1408

    Neighborhood competition improves biomass estimation for Scots pine (Pinus sylvestris L.) but not Pyrenean oak (Quercus pyrenaica Willd.) in young mixed forest stands by Eric Cudjoe, Ricardo Ruiz-Peinado, Hans Pretzsch, Shamim Ahmed, Felipe Bravo

    Published 2025-08-01
    “…Therefore, accurate biomass estimation is essential for understanding ecosystem functioning and informing forest management strategies to mitigate climate change. …”
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  9. 1409

    Rational and Irrational Investor Sentiments and Stock Market Returns: Evidence from the Tehran Stock Exchange by Mohammad Nadiri, Hamid Reza Panahian

    Published 2024-09-01
    “…In the first step, we used an autoregressive distributed lag (ARDL) technique to regress macroeconomic fundamental variables on individual and institutional investor sentiments to decompose the sentiment variables into rational and irrational components. …”
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  10. 1410

    Protein expression profiling identifies a prognostic model for ovarian cancer by Luyang Xiong, Jiahong Tan, Yuchen Feng, Daoqi Wang, Xudong Liu, Yun Feng, Shusheng Li

    Published 2022-07-01
    “…The prognostic effect and the biological function of the model were evaluated using co-expression analysis and enrichment analysis. …”
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  11. 1411

    Optimizing processing methods for maximum bioactive retention: comparative metabolomic analysis of dried loquat (Eriobotrya japonica) flowers and their powdered extracts by Mingzheng Duan, Jieming Feng, Jing-Han Feng, Xi Wang, Xu Xiao, Shirong He, Hengcui Guo, Wenyan Zhang, Zhumao Jiang, Tongfa Wan, Muhammad Junaid Rao

    Published 2025-08-01
    “…These insights guide the development of standardized loquat flower products, balancing bioactive preservation with processing efficiency for functional food and herbal medicine applications.…”
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  12. 1412
  13. 1413

    Three Decades of Land Cover Dynamics in a Boreal Coastal Basin: A Multisensor Spectral Index and Machine Learning Approach Using Landsat Data and GB-SAR Data by Jinsong Zhang, Bochi Zou, Yifei Yuan, Asad Khan, Muhammad Bilawal Junaid, Qaiser Abbas, Rana Muhammad Zulqarnain, Nazih Y. Rebouh, Olga D. Kucher, Hassan Alzahrani

    Published 2025-01-01
    “…Boreal coastal habitats, with their complex hydrological, ecological, and geological functions, play a pivotal role in regulating regional climate, supporting biodiversity, and sustaining local communities. …”
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  14. 1414

    Deep learning algorithm on H&E whole slide images to characterize TP53 alterations frequency and spatial distribution in breast cancer by Chiara Frascarelli, Konstantinos Venetis, Antonio Marra, Eltjona Mane, Mariia Ivanova, Giulia Cursano, Francesca Maria Porta, Alberto Concardi, Arnaud Gerard Michel Ceol, Annarosa Farina, Carmen Criscitiello, Giuseppe Curigliano, Elena Guerini-Rocco, Nicola Fusco

    Published 2024-12-01
    “…The DL model exhibited high accuracy in tissue quantification and TP53 status prediction, outperforming traditional methods in terms of precision and efficiency. DL-based approaches offer significant promise for enhancing biomarker testing and precision oncology by reducing intra- and inter-observer variability, but further validation is required to optimize their integration into real-world clinical workflows. …”
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  15. 1415

    Enhanced neurological anomaly detection in MRI images using deep convolutional neural networks by Ahmed Mateen Buttar, Zubair Shaheen, Abdu H. Gumaei, Mogeeb A. A. Mosleh, Mogeeb A. A. Mosleh, Indrajeet Gupta, Samah M. Alzanin, Muhammad Azeem Akbar

    Published 2024-12-01
    “…Moreover, performance metrics such as precision, recall, and F1-score were calculated separately, confirming the robustness and efficiency of our model across various evaluation criteria. …”
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  16. 1416
  17. 1417

    Network Meta-Analysis of Factors Influencing the Carbon Sink Capacity of Urban Park Green Spaces by Yutong JI, Tianyi LIN, Lian LIU, Xiong LI

    Published 2025-01-01
    “…While habitat composition and planting strategies offer substantial localized benefits, their variability necessitates tailored interventions informed by specific ecological and social contexts. …”
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  18. 1418

    Modeling of project activities for UAV modernization to conduct swarm drone attack missions by Oleg Fedorovych, Leonid Malieiev, Oleksii Hubka, Andrei Popov

    Published 2025-03-01
    “…The models are intended to optimize new functions related to control, coordination, and navigation, enabling UAVs to perform as part of drone swarms in military missions. …”
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  19. 1419
  20. 1420

    Clinical significance of plasma-free amino acids and tryptophan metabolites in patients with non-small cell lung cancer receiving PD-1 inhibitor: a pilot cohort study for developin... by Akihiko Kawahara, Tetsuro Sasada, Koichi Azuma, Hidenobu Ishii, Norikazu Matsuo, Takaaki Tokito, Tomoaki Hoshino, Yohei Miyagi, Huihui Xiang, Tomoyuki Tagami, Rika Kasajima, Yumiko Kato, Sachise Karakawa, Shinya Kikuchi, Akira Imaizumi, Kenta Murotani

    Published 2022-05-01
    “…In particular, the multivariate model, composed of a combination of serine, glycine, arginine, and quinolinic acid, could most efficiently stratify patient OS (concordance index=0.775, HR=3.23, 95% CI 2.04 to 5.26). …”
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