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  1. 421
  2. 422

    Automated Recognition of Abnormalities in Gastrointestinal Endoscopic Images – Evaluation of an AI Tool for Identifying Polyps and Other Irregularities by Weronika Jarych, Elżbieta Tokarczyk, Patryk Iglewski, Daria Ziemińska, Karina Motolko, Rafał Burczyk, Konrad Duszyński, Michał Kociński, Jan Reinald Wendt

    Published 2025-05-01
    “…Key advantages of AI integration in endoscopy include improved sensitivity, minimized detection errors, and the potential to optimize clinical workflow efficiency. …”
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    Article
  3. 423

    Exploring the Views of Dermatologists, General Practitioners, and Melanographers on the Use of AI Tools in the Context of Good Decision-Making When Detecting Melanoma: Qualitative... by Brad Partridge, Nicole Gillespie, H Peter Soyer, Victoria Mar, Monika Janda

    Published 2025-03-01
    “…ConclusionsClinicians conceptualized AI support in an array of disparate ways that have implications for how AI should be incorporated into clinical workflows. …”
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    Article
  4. 424

    The Role of Vitamin D in the Management of Major Depressive Disorder: A Systematic Review by Andreea Roșian, Mihaela Zdrîncă, Luciana Dobjanschi, Laura Grațiela Vicaș, Mariana Eugenia Mureșan, Camelia Maria Dindelegan, Rita Ioana Platona, Eleonora Marian

    Published 2025-05-01
    “…The effects of vitamin D on the brain, mediated through various mechanisms, suggest the potential implication of vitamin D in the pathophysiology of depression. …”
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    Article
  5. 425

    Evaluating spectral cloud effective radius retrievals from the Enhanced MODIS Airborne Simulator (eMAS) during ORACLES by K. Meyer, S. Platnick, G. T. Arnold, G. T. Arnold, N. Amarasinghe, N. Amarasinghe, D. Miller, D. Miller, J. Small-Griswold, M. Witte, B. Cairns, S. Gupta, G. McFarquhar, J. O'Brien

    Published 2025-02-01
    “…Such retrievals, however, rely on forward radiative transfer (RT) calculations using simplified assumptions that can lead to retrieval errors when the real atmosphere deviates from the forward model. …”
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    Article
  6. 426

    A Self-Generated Electricity-Driven Sclera reinforcement bionic piezoelectric patch for Management of High Myopia by Lingxi Jiang, Bo Zhao, Qi Li, Chunbao Xie, Jiale Hong, Yiwei Wan, Yukai Gong, Zhengzheng Wu, Liang Zou, Yang-Bao Miao, Yi Shi

    Published 2025-07-01
    “…Abstract Background High myopia (HM) is a progressive ocular condition characterized by excessive axial elongation and severe refractive errors, often leading to sight-threatening complications. …”
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    Article
  7. 427

    External and internal drivers behind the formation, vegetation succession, and carbon balance of a subarctic fen margin by T. Juselius-Rajamäki, S. Piilo, S. Salminen-Paatero, E. Tuomaala, T. Virtanen, A. Korhola, A. Autio, H. Marttila, P. Ala-Aho, A. Lohila, A. Lohila, M. Väliranta

    Published 2025-07-01
    “…Thus, when estimating the peatland carbon stocks and predicting the future trajectories for peatland development, this heterogeneity should be taken into account to avoid errors caused by the oversimplification of peatland lateral expansion dynamics.…”
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    Article
  8. 428

    Climate-related financial policies as an enabler of circularity: a new insight from selected countries of the European Union by Nguyen Hong Yen, Le Thanh Ha

    Published 2025-05-01
    “…Design/methodology/approach – The authors use a panel-corrected standard errors (PCSE) model, a feasible generalized least square model and the two-step general method of moment to explore this link. …”
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    Article
  9. 429

    Multi-source data joint processing framework for DEM calibration and fusion by Cuilin Yu, Qingsong Wang, Zibo Zhang, Zixuan Zhong, Yusheng Ding, Tao Lai, Haifeng Huang, Peng Shen

    Published 2025-05-01
    “…These findings underscore the robustness of our approach and establish a new benchmark for DEM calibration and fusion, with significant implications for geospatial analysis and environmental monitoring.…”
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  10. 430
  11. 431

    Deep-learning-based sub-seasonal precipitation and streamflow ensemble forecasting over the source region of the Yangtze River by N. Dong, H. Hao, H. Hao, M. Yang, J. Wei, S. Xu, H. Kunstmann, H. Kunstmann, H. Kunstmann

    Published 2025-04-01
    “…Our study is expected to provide implications for leveraging advanced AI techniques to enhance sub-seasonal hydrometeorological forecasting accuracy and operational efficiency for effective water resources management and disaster preparedness.…”
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    Article
  12. 432

    Referral rate for refractive amblyopia using automated vision screening in school children in Beirut, Lebanon. by Zahi Wehbi, Hanadi Ibrahim, Youssef Zougheib, Zeinab El Moussawi, Dalia El Hadi, Christiane Al-Haddad

    Published 2025-01-01
    “…There was a significant difference in referral rates overall and across the different types of refractive error when compared with the other referral criteria. …”
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    Article
  13. 433

    Impact of COVID-19 on Corporate Cash Holdings and Speed of Adjustment by Abbas Aflatooni, Mohammad Khatiri, Farzad Eivani

    Published 2024-12-01
    “…To address potential statistical issues, the standard errors of the coefficients in the static models were corrected using cluster-robust standard errors at the firm level. …”
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  14. 434

    Effects of urban sprawl on land use change in the peripheral villages of Tehran metropolis (case study: Tehran-Damavand axis) by ِAshkan Mohammadi, Naser Shafiei Sabet, Alireza Shakiba

    Published 2019-12-01
    “…Introduction: One of the major implications of accelerated urbanization is the spatial expansion of urban sprawl and the corrosive of villages and peripheral lands that have been numerous in metropolitan areas. …”
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    Article
  15. 435

    Correlation between Rainfall and Runoff in Fuchun River Basin Based on Copula Functions and Kernel Density Estimation by YANG Sheng-mei, ZHU De-kang, CHENG Xiang, LI Bo, ZHU Yan-ze, MA Wen-sheng

    Published 2025-05-01
    “…Simulation performance for both marginal and joint distributions was validated using root mean square error (RMSE) and Euclidean distance. [Results] (1) By comparing the RMSEs between the estimated results using four kernel density functions (Gaussian, Uniform, Triangle, Epanechnikov) and the empirical frequencies of rainfall and runoff in the river basin, the Gaussian was found to have the smallest errors. …”
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  16. 436

    Sex-specific trunk movement coordination in participants with low-back pain and asymptomatic controls by Lukas Fischer, Lukas Fischer, Arno Schroll, Arno Schroll, Hendrik Schmidt, Adamantios Arampatzis, Adamantios Arampatzis

    Published 2025-04-01
    “…On the other hand, the increased local instability of the trunk during the cyclic coordination task studied indicates control errors in the regulation of trunk movement in participants with chronic low-back pain and could be considered a useful diagnostic tool in chronic low-back pain.…”
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  17. 437

    Research on Atlantic surface pCO2 reconstruction based on machine learning by Jiaming Liu, Jie Wang, Xun Wang, Yixuan Zhou, Runbin Hu, Haiyang Zhang

    Published 2025-07-01
    “…This has substantial implications for marine resource assessment and management, marine ecosystems, and global climate change research. …”
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  18. 438

    Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach by Noorulden Basil, Hamzah M. Marhoon, Bayan Mahdi Sabbar, Abdullah Fadhil Mohammed, Osamah Albahri, Ahmed Albahri, Abdullah Alamoodi, Iman Mohamad Sharaf, Amare Merfo Amsal, Mahrous Ahmed, Enas Ali, Sherif S. M. Ghoneim

    Published 2025-05-01
    “…The results demonstrate a minimization of position and angular errors, reduced oscillations, and overall improved control stability for the FOPID-based HESPSOALO compared with the other methods. …”
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  19. 439
  20. 440

    Multimorbidity and Patient Safety Incidents in Primary Care: A Systematic Review and Meta-Analysis. by Maria Panagioti, Jonathan Stokes, Aneez Esmail, Peter Coventry, Sudeh Cheraghi-Sohi, Rahul Alam, Peter Bower

    Published 2015-01-01
    “…Odds ratios (OR) and 95% confidence intervals (95% CIs) were calculated for the associations between multimorbidity and two categories of patient safety outcomes: 'active patient safety incidents' (such as adverse drug events and medical complications) and 'precursors of safety incidents' (such as prescription errors, medication non-adherence, poor quality of care and diagnostic errors). …”
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