Showing 61 - 70 results of 70 for search '"Yiwu"', query time: 0.04s Refine Results
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    Detection of the Optimal Temporal Windows for Mapping Paddy Rice Under a Double-Cropping System Using Sentinel-2 Imagery by Li Sheng, Yuefeng Lv, Zhouqiao Ren, Hongkui Zhou, Xunfei Deng

    Published 2024-12-01
    “…Through verification in the study area of Yiwu, China, the discrepancies between mapping results and agricultural statistics were within 5%, demonstrating the rationality and efficiency of the proposed framework.…”
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  3. 63

    Research Advances and Application Progress on miRNAs in Exosomes Derived From M2 Macrophage for Tissue Injury Repairing by Zhu Z, Zhang X, Lin X, Wang Y, Han C, Wang S

    Published 2025-02-01
    “…Zhikang Zhu,1,* Xinge Zhang,1,* Xuran Lin,1 Yuechen Wang,1 Chunmao Han,2,3 Shoujie Wang1,4 1Department of Plastic Surgery, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, Zhejiang University, Yiwu, Zhejiang, People’s Republic of China; 2Department of Burns & Wound Care Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, People’s Republic of China; 3Key Laboratory of The Diagnosis and Treatment of Severe Trauma and Burn of Zhejiang Province, Hangzhou, Zhejiang, People’s Republic of China; 4Department of Plastic Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shoujie Wang; Chunmao Han, Email wangshoujie@zju.edu.cn; zrssk@zju.edu.cnAbstract: Tissue injury repair is a multifaceted and dynamic process characterized by complex interactions among various immune cells, with M2 macrophages assuming a crucial role. …”
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    Exploring Self-Management Behavior Profiles in Patients with Multimorbidity: A Sequential, Explanatory Mixed-Methods Study by Fu Y, Wu J, Guo Z, Shi Y, Zhao B, Yu J, Chen D, Wu Q, Xue E, Du H, Zhang H, Shao J

    Published 2025-01-01
    “…Yujia Fu,1,2,* Jingjie Wu,3,* Zhiting Guo,4 Yajun Shi,1 Binyu Zhao,1,2 Jianing Yu,1,2 Dandan Chen,3 Qiwei Wu,1,2 Erxu Xue,3 Haoyang Du,3 Huafang Zhang,1 Jing Shao1,2 1Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, People’s Republic of China; 2School of Nursing and Institute of Nursing Research, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, People’s Republic of China; 3Department of Nursing, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China; 4Department of Nursing, The Second Affiliated Hospital of Zhejiang University School of Medicine (SAHZU), Hangzhou, Zhejiang, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jing Shao, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, 310058, People’s Republic of China, Email 11318202@zju.edu.cnPurpose: This study aims to identify self-management behavior profiles in multimorbid patients, and explore how workload, capacity, and their interactions influence these profiles.Patients and Methods: A sequential explanatory mixed-methods design was employed. …”
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