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    Applicability Analysis of Machine Learning Model in Hydrological Forecasting in Karst Areas by ZHAO Zejin, SUN Wei, ZHOU Bin, ZHANG Xuan, WANG Gaoxu, WU Wei, LI Wenjie, YAO Ye

    Published 2024-01-01
    “…For hydrological forecasting in karst areas,existing research mainly uses hydrological models based on physical mechanisms,while rare research focuses on machine learning models.To explore the applicability of machine learning models in karst areas, this paper utilizes the LSTM model and random forest model to simulate the daily runoff and field floods at Tangdian hydrological station,using the Shadian River basin in Yunnan Province as the study area.The modified Xin'anjiang model for karst areas is taken as a reference.The results show that both the machine learning model and the modified Xin'anjiang model have achieved good results in simulating the daily runoff process, with the LSTM model showing better simulation results.In the simulation of floods,the modified Xin'anjiang model achieves Class A forecast accuracy.The machine learning models have better forecast results for the 6-hour forecasting period than the modified Xin'anjiang model,while the forecast results for the 24-hour forecasting period do not meet the accuracy requirements of the forecast operation.The study provides a reference for hydrological forecasting in karst areas by studying the characteristics and forecasting accuracy of two machine learning models and a hydrologic model.…”
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    Ascetical and mystical experience in Chinese Buddhism by Dabetić Ilija

    Published 2024-01-01
    “…In the period from the fourth to the second century before Christ, the presence of a sorcerer named "fangshi" (the way of the immortal - "Fangxiang dao") at the royal society was an established custom. …”
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  14. 9614

    AI-Driven Management of Type 2 Diabetes in China: Opportunities and Challenges by He Z, Li W

    Published 2025-01-01
    “…Zhifang He,1 Wenyu Li2 1Shanghai Xuhui Area Government of Community Office of Kangjian Xincun Street, Shanghai, People’s Republic of China; 2School of Marxism, Capital Normal University, Beijing, People’s Republic of ChinaCorrespondence: Wenyu Li, Email 13241466866@163.comAbstract: With the aging of China’s population and lifestyle changes, the number of patients with type 2 diabetes (T2D) has surged, posing a significant challenge to the public health system. …”
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    Spatial-temporal Evolution Rule Analysis of Runoff of Hanjiang River under Changing Environment by ZHONG Huayu, HUANG Qiang, YANG Yuanyuan, LIU Dengfeng, MING Bo, REN Kang

    Published 2020-01-01
    “…Based on the 48-year measureddaily runoff series of the hydrological stations of Yangxian, Huangjiagang and Huangzhuang in themain stream of the Hanjiang River, this paper comprehensively analyzes the spatial-temporalevolution trend, year of abrupt change, periodic variation, interannual variation and annualdistribution of runoff in Hanjiang River Basin via multi methods and multi dimensions. …”
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    RECK as a Potential Crucial Molecule for the Targeted Treatment of Sepsis by Qin Y, Liao S, Sun J, Ye H, Li J, Pan J, He J, Xia Z, Shao Y

    Published 2025-02-01
    “…Yuting Qin,1,* Shuanglin Liao,1,* Jianbo Sun,2 Huiyun Ye,1 Jiafu Li,1 Jiahui Pan,1 Junbing He,3 Zhengyuan Xia,4,5 Yiming Shao1,6 1Dongguan Key Laboratory of Sepsis Translational Medicine, The Intensive Care Unit, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, People’s Republic of China; 2Dongguan Key Laboratory of Chronic Inflammatory Diseases, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, People’s Republic of China; 3The Key Laboratory of Organ Dysfunction and Protection Translational Medicine, Jieyang Medical Research Center, Jieyang People’s Hospital, Jieyang, Guangdong, People’s Republic of China; 4Department of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, People’s Republic of China; 5State Key Laboratory of Pharmaceutical Biotechnology, Department of Medicine, The University of Hong Kong, Pokfulam, Hong Kong, People’s Republic of China; 6The Key Laboratory of Sepsis Translational Medicine, Guangdong Medical University, Zhanjiang, Guangdong, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yiming Shao, Dongguan Key Laboratory of Sepsis Translational Medicine, the Intensive Care Unit,The First Dongguan Affiliated Hospital, Guangdong Medical University, Jiaoping Road 42, Tangxia Town, Dongguan, Guangdong Province, 523710, People’s Republic of China, Tel +86 18826690188, Email sym@gdmu.edu.cn Zhengyuan Xia, Department of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, People’s Republic of China, Tel +852-68798794, Email zyxia@hku.hkAbstract: Reversion inducing cysteine rich protein with kazal motifs (RECK), a Kazal motif-containing protein, regulates pro-inflammatory cytokines production, migration of inflammatory cells, vascular endothelial growth factor (VEGF) and Wnt pathways and plays critical roles in septic inflammatory storms and vascular endothelial dysfunction. …”
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