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  1. 5821

    Advancing road maintenance with EfficientDet-based pothole monitoring by Jenefa Archpaul, Taurshia Antony, Kuriakose Bessy Mani, Kumar Edward Naveen Vijaya, Lincy Archpaul

    Published 2025-01-01
    “…Traditional detection methods frequently fall short in terms of accuracy and real-time capability. …”
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    Article
  2. 5822

    A systemic risk assessment methodological framework for the global polycrisis by Ajay Gambhir, Michael J. Albert, Sylvanus S. P. Doe, Jonathan F. Donges, Nadim Farajalla, Leandro L. Giatti, Haripriya Gundimeda, Sarah Hendel-Blackford, Thomas Homer-Dixon, Daniel Hoyer, Sumaya Adan, David Jacome-Polit, Luke Kemp, David Korowicz, Zora Kovacic, Jan Kwakkel, Laurie Laybourn, Robert Lempert, Ayan Mahamoud, Tom H. Oliver, Ivana E. Pavkova, Joseph Ponnoly, Vishwas Satgar, Megan Shipman, Jana Sillmann, Nick Silver, Samuel Stevenson, Ruth Richardson

    Published 2025-08-01
    “…Our framework’s polycrisis-specific features include: exploring system architectures including their objectives and political economy; consideration of transformational responses away from risks; and cross-cutting practices including consideration of non-human life, trans-disciplinarity, and diversity, transparency and communication of uncertainty around data, evidence and methods.…”
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  3. 5823

    The Steel Surface Multiple Defect Detection and Size Measurement System Based on Improved YOLOv5 by Yiming Xu, Ziheng Ding, Wang Li, Kai Zhang, Le Tong

    Published 2023-01-01
    “…Firstly, in consideration of the defect location and direction correlation in the production process, a coordinate attention mechanism is added at the head of YOLOv5 to strengthen the spatial correlation of the steel surface and an adaptive anchor box generation method based on defect shape difference feature is proposed, which realizes the detection of three main types of defects on the Pytorch deep learning framework. …”
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  4. 5824

    Adapting an English Corpus and a Question Answering System for Slovene by Uroš Šmajdek, Matjaž Zupanič, Maj Zirkelbach, Meta Jazbinšek

    Published 2023-09-01
    “…We then assess the translated datasets using various transformer-based QA models, examining the differences between the datasets and model configurations. …”
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  5. 5825

    Challenges Caused by Using New Technologies in Holding Public Hearings of Iranian Criminal Courts by Mozhgan Nemati, Nasrin Mehra, Morteza Rasteh

    Published 2025-03-01
    “…Methodology This research, with the descriptive-analytical method and the use of library and documentary sources, seeks to answer the question that if hearings are held in the context of modern technologies, what challenges will the right to public trials face? …”
    Article
  6. 5826

    Immunohistochemical analysis of microglial changes in the experimental acute hepatic encephalopathy by T. V. Shulyatnikova

    Published 2021-05-01
    “…Materials and methods. We used acetaminophen induced liver failure model in Wistar rats. …”
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  7. 5827

    Factors influencing the development of practical skills of interns working in regional hospitals of the Western Cape province of South Africa by Joerg Jaschinski, Marietjie R. de Villiers

    Published 2008-02-01
    “…On graduating from university, each doctor is faced with the task of transforming theoretical knowledge into the practical, procedural skills of a competent professional. …”
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  8. 5828

    Examining the Influence of Demographic and Socioeconomic Factors on Disparities in Health Care App Usage: Protocol for a Systematic Scoping Review by Fahad Aljuaid, Emily Reed, Sara Imanpour, Daniel J Mallinson

    Published 2025-07-01
    “… BackgroundThe rapid proliferation of health care apps has transformed health care delivery, providing patients with unprecedented access to medical information and services. …”
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  9. 5829

    A systemic, multidimensional and territorialized framework for assessing the adaptation potential of sustainable agrifood transitions: theoretical guidelines and exploratory insigh... by Marco Billi, Marco Billi, Valentina Barrera, José Navea, Constanza Jiménez, Romina Cáceres, Sebastián Palma

    Published 2025-04-01
    “…In view of this, this paper proposes an analytical framework that hopes to integrate the previous advances around a robust, systemic, multisectoral and context-sensitive observation of the potential of SAT as a strategy to address climate change risks.MethodsThis framework articulates around four complementary analytical lenses: the ‘risk’ lens addresses the ‘potential’ need for adaptation (why do we need SAT?)…”
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  10. 5830

    Research progress on high-entropy alloys for extreme loading environments by GAO Wei, ZHOU Xichen, ZHU Qianyong, PANG Shujie, ZHAO Shiteng

    Published 2024-10-01
    “…The integration of state-of-the-art simulation techniques combined with advanced characterization methods will be crucial for improving research efficiency while providing insights into microstructural behavior. …”
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    Article
  11. 5831

    ChatGPT and generative AI in urology and surgery—A narrative review by Shane Qin, Bodie Chislett, Joseph Ischia, Weranja Ranasinghe, Daswin deSilva, Jasamine Coles‐Black, Dixon Woon, Damien Bolton

    Published 2024-09-01
    “…Abstract Introduction ChatGPT (generative pre‐trained transformer [GPT]), developed by OpenAI, is a type of generative artificial intelligence (AI) that has been widely utilised since its public release. …”
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  12. 5832

    Exploring the environmental and cultural consequences of the 8.2 ka cooling event in Kyushu, Southwestern Japan by Junzo Uchiyama, Mitsuhiro Kuwahata, Felix Riede, Peter D. Jordan

    Published 2025-09-01
    “…These groups responded in cyclical ways to different tempos of change. Ultimately, we argue that the 8.2 ka event in Kyushu should be examined as part of a broader trajectory of socio-ecological transformation, rather than as an isolated moment of major disruption.…”
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  13. 5833

    Atherogenic index of plasma as an additional marker of adverse cardiovascular outcomes by Yu. I. Grinshtein, V. V. Shabalin, R. R. Ruf, S. A. Shalnova, O. M. Drapkina

    Published 2022-06-01
    “…Using a representative sample of the Krasnoyarsk Krai population, to evaluate the distribution of the atherogenic index of plasma (AIP), logarithmically transformed ratio of molar concentrations of triglycerides to high-density lipoprotein-cholesterol, and to identify  possible associations between AIP, various cardiovascular diseases, and metabolic parameters.Material and methods. …”
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  14. 5834

    Forming an Innovative Start-Up Ecosystem to Increase the Entrepreneurial Activity of Companies (As Exemplified by Asian Countries) by Marat Kamysbayev, Galymzhan Talassov, Arailym Orazgalieva, Serik Nursultanov, Altynbek Moldashev, Gani Kaliev

    Published 2025-04-01
    “…The aim of the study was to examine how innovative start-up ecosystems contribute to sustainable development and increased entrepreneurial activity in Asian countries, focusing on their strategic importance for economic transformation and technological growth. Using quantitative and qualitative research methods, the authors conduct a comparative analysis of the development of entrepreneurial ecosystems in five Asian countries (Kazakhstan, China, India, South Korea, and Japan) for 2018-2021. …”
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  15. 5835

    The association between number and ages of children and the physical activity of mothers: Cross-sectional analyses from the Southampton Women's Survey. by Rachel F Simpson, Kathryn R Hesketh, Sarah R Crozier, Janis Baird, Cyrus Cooper, Keith M Godfrey, Nicholas C Harvey, Kate Westgate, Hazel M Inskip, Esther M F van Sluijs

    Published 2022-01-01
    “…Considering that ages and number of children may be associated with maternal PA, and that PA patterns may change as children transition to formal schooling, we aimed to investigate the associations between ages and number of children and device-measured maternal PA.<h4>Methods</h4>Cross-sectional analyses were conducted using data from 848 mothers from the Southampton Women's Survey at two different timepoints. …”
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  16. 5836

    Old and new equations for maximal and anaerobic threshold heart rate prediction in coronary heart disease in Chinese population by Leilei Wang, Zihao Huang, Luxia Gao, Xi Chen, Deming Deng, Meiming Lin, Xiuyu Leng

    Published 2024-11-01
    “…This study aims to develop equations for MHR and HRAT, assess the accuracy of historical MHR formulas, and examine their correlation with HR measurements at the anaerobic threshold (AT). Methods Among 2021 to 2023, 170 CHD patients were recruited. …”
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  17. 5837

    Enhancing patient rehabilitation outcomes: artificial intelligence-driven predictive modeling for home discharge in neurological and orthopedic conditions by Leonardo Buscarini, Paola Romano, Elena Sofia Cocco, Carlo Damiani, Sanaz Pournajaf, Marco Franceschini, Francesco Infarinato

    Published 2025-05-01
    “…This process involved variables recoding, scaling, and the evaluation of different dataset balancing methods to optimize model performance. …”
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  18. 5838

    Effects of Xuefu Zhuyu Decoction on Inflammatory Factors and the NF-kappaB Signaling Pathway in Rats Model of Radicular Pain by Liu X, Jiang T, Lu B

    Published 2025-02-01
    “…The rats in the treatment groups received different doses of XFZYD via oral administration, while the control and model groups received an equal volume of normal saline once daily for 7 days. …”
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  19. 5839

    Hyperspectral sensing for high‐throughput chloride detection in grapevines by Sadikshya Sharma, Christopher Wong, Krishna Bhattarai, Yaniv Lupo, Troy Magney, Luis Diaz‐Garcia

    Published 2024-12-01
    “…Current breeding efforts to improve grapevine salinity tolerance are limited by the low throughput of available phenotyping methods, which are time‐consuming, labor‐intensive, and destructive. …”
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  20. 5840

    Development and validation of MRI-derived deep learning score for non-invasive prediction of PD-L1 expression and prognostic stratification in head and neck squamous cell carcinoma by Cong Ding, Yue Kang, Fan Bai, Genji Bai, Junfang Xian

    Published 2025-02-01
    “…Tumor regions were manually segmented, and features extracted from different MRI sequences were fused using a transformer-based model incorporating attention mechanisms. …”
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