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  1. 1341
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    Проблеми регулювання механізмів вирішення спорів (арбітражу) у правовідносинах з віртуальними активами... by O. S. Chernykh

    Published 2025-01-01
    “…Наявність великого обсягу технічних питань потребує додаткової спеціальної експертності в таких галузях, як криптографія, інформаційні технології, функціонування Big data тощо. Стаття також аналізує проблеми, що виникають при застосуванні блокчейн-технологій у судочинстві, зокрема в контексті криптодоказів, смарт-контрактів та альтернативних способів вирішення спорів. …”
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  3. 1343
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    Assessing subtle changes in arid land river basin ecological quality: A study utilizing the PIE engine platform and RSEI by Aizemaitijiang Maimaitituersun, Han Yang, Nuerbiye Aobuliaisan, Kamuran Maimaitiaili, Ouyang Chenyu

    Published 2025-01-01
    “…Firstly, utilizing the Pixel Information Expert Engine (PIE) remote sensing big data platform, the yearly Remote Sensing Based Ecological Index (RSEI) were computed from 2001 to 2023. …”
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    Connotation, research status, and development directions of clean coal geology in China by Yuegang TANG, Shaoqing WANG, Xiaoshuai WANG, Xin GUO, Yafeng WANG, Liping XUE, Harold H. Schobert

    Published 2025-01-01
    “…[Issues and Prospects] This study proposes some scientific and technical problems concerning coal formation, organic/inorganic elements, minerals, and clean assessment, positing that future advancements in chemistry, physics, biology, and big data/artificial intelligence (AI) will bring opportunities for the further development of clean coal geology and its applications in large-scale engineering. …”
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    Non-Pharmaceutical Interventions May Attenuate Acute Exacerbations of Asthma: Experience During the COVID-19 Pandemic in Taiwan by Lin CY, Lin CH, Lo YL, Lo CY, Huang HY, Hsieh MH, Fang YF, Li TC, Lin SM, Huang YT, Chang PJ, Lin HC

    Published 2025-01-01
    “…Chun-Yu Lin,1,2 Chiung-Hung Lin,1,2 Yu-Lun Lo,1,2 Chun-Yu Lo,1,2 Hung-Yu Huang,1,2 Meng-Heng Hsieh,1,2 Yueh-Fu Fang,1,2 Tsu-Chuan Li,1,2 Shu-Min Lin,1,2 Yu-Tung Huang,3 Po-Jui Chang,1,2 Horng-Chyuan Lin1,2,4 1Department of Thoracic Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan; 2College of Medicine Chang Gung University, Taoyuan, Taiwan; 3Center for Big Data Analytics and Statistics, Chang Gung Memorial Hospital, Taoyuan, Taiwan; 4Department of Respiratory Therapy, Chang Gung Memorial Hospital at Linkou, Taoyuan, TaiwanCorrespondence: Horng-Chyuan Lin, Department of Thoracic Medicine, Chang Gung Memorial Hospital, 5 Fu-Hsing Street, Kweishan, Taoyuan, 33305, Taiwan, Tel +886-3-3281200 ext. 8470, Fax +886-3-3282474, Email lin53424@gmail.comBackground: Non-pharmaceutical interventions (NPIs) were widely used during the coronavirus disease 2019 (COVID-19) pandemic, however their impact on acute asthma exacerbations (AEs) is not well studied.Methods: We had retrospectively collected patients with asthma AEs between 2019 and 2020 and retrieved data from the Chang Gung Research Database, including clinical manifestations, medications, pulmonary function, clinic and emergency department visits and hospitalizations.Results: A total of 39,108 adult patients with asthma were enrolled, of whom 1502 were eligible for analysis. …”
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  14. 1354

    Research Progress in Monitoring Technology of Cold Chain Logistics for Meat Products by Bin HAN, Dongmei LENG, Yuqian XU, Jianyang SHEN, Xin LI, Xiaochun ZHENG, Wei WANG, Dequan ZHANG, Chengli HOU

    Published 2025-02-01
    “…Advanced technologies like big data, the internet of things, and artificial intelligence are becoming widely used as Industry 4.0 technology, which develops quickly. …”
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    On the choice of the method of dynamic rationing of energy resources in oil refineries by V. R. Vedruchenko, E. M. Rezanov, A. P. Starikov, A. V. Kushnarenko, P. A. Surovtsev, V. A. Kikhtenko

    Published 2024-06-01
    “…The article discusses the possibility of calculating the expected energy demand based on big data and machine learning for the energy technological processes in oil refineries. …”
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    The Correlation between Time in Range and Diabetic Microvascular Complications Utilizing Information Management Platform by Xia Sheng, Guo-Hui Xiong, Peng-Fei Yu, Jian-Ping Liu

    Published 2020-01-01
    “…To explore the relationship between time in range (TIR) and glycosylated hemoglobin (HbA1C) through the information big data management platform. Possible association between TIR and diabetic microvascular complications (retinopathy, nephropathy, and neuropathy) was investigated, attempting to provide theoretical basis for the clinical application of TIR and to explore the TIR control scope suitable for diabetic patients. …”
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