Passions among Cork Oaks and Lotuses. Vegetable Metaphors in Midnight Songs (Ziyege 子夜歌, 4th‒5th century) by Luca Stirpe

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Asian option pricing under sub-fractional vasicek model by Lichao Tao, Yuefu Lai, Yanting Ji, Xiangxing Tao

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Accurate and intelligent diagnosis of pediatric pneumonia using X-ray images and blood testing data by Dan Yao, Zhenghua Xu, Yi Lin, Yuefu Zhan

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Study of the Nonuniform Consolidation Characteristics of Soft Soils Using a Novel Model by Yuefu Zhou, Wenlong Han, Dong Su, Xiangsheng Chen

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Aquaporin 1 overexpression may enhance glioma tumorigenesis by interacting with the transcriptional regulation networks of Foxo4, Maz, and E2F families by Ying Guan, Jinhua Han, Die Chen, Yuefu Zhan, Jianqiang Chen

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LncRNA PCED1B-AS1 knockdown inhibits osteosarcoma via methylation-mediated miR-10a downregulation by Bing Wang, Li Yao, Yuefu Dong, Jian Liu, Jian Wu

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Tourniquet use benefits to reduce intraoperative blood loss in patients receiving total knee arthroplasty for osteoarthritis: An updated meta-analysis with trial sequential analysi... by Xiangjun Xu, Chao Wang, Qunshan Song, Zhifang Mou, Yuefu Dong

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Risk Factors of Thrombocytopenia After Cardiac Surgery with Cardiopulmonary Bypass by Shujie Yan, Sizhe Gao, Song Lou, Qiaoni Zhang, Yuefu Wang, Bingyang Ji

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Risk factors of 30-day and long-term mortality and outcomes in open repair of thoracoabdominal aortic aneurysm by Sudena Wang, Chunrong Wang, Yuchen Gao, Yu Tian, Jia Liu, Yuefu Wang

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Univariable and multivariable mendelian randomization study revealed the modifiable risk factors of urolithiasis. by Hailin Fang, Jiwang Deng, Qingjiang Chen, Dong Chen, Pengfei Diao, Lian Peng, Bin Lai, Yongmao Zeng, Yuefu Han

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Effects of albumin and crystalloid priming strategies on red blood cell transfusions in on-pump cardiac surgery: a network meta-analysis by Tianlong Wang, Jing Wang, Mingru Zhang, Han Zhang, Qiaoni Zhang, Gang Liu, Wenhao Dong, Yuefu Wang, Bingyang Ji

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The multifaceted roles of Arbuscular Mycorrhizal Fungi in peanut responses to salt, drought, and cold stress by Yuexu Liu, Jinhao Lu, Li Cui, Zhaohui Tang, Dunwei Ci, Xiaoxia Zou, Xiaojun Zhang, Xiaona Yu, Yuefu Wang, Tong Si

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Dynamic predictive scores for cardiac surgery-associated agitated delirium: a single-center retrospective observational study by Yu Tian, Bingyang Ji, Xiaolin Diao, Chunrong Wang, Weiwei Wang, Yuchen Gao, Sudena Wang, Chun Zhou, Qiaoni Zhang, Sizhe Gao, Xinyi Xu, Jia Liu, Jianhui Wang, Yuefu Wang

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The role of circadian clock-controlled mitochondrial dynamics in diabetic cardiomyopathy by Zhenshuai Jin, Yanwei Ji, Wating Su, Lu Zhou, Xiaojing Wu, Lei Gao, Junfan Guo, Yutong Liu, Yuefu Zhang, Xinyu Wen, Zhong-Yuan Xia, Zhengyuan Xia, Zhengyuan Xia, Shaoqing Lei

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Sex-Specific Associations Between Preoperative Chronic Pain and Moderate to Severe Chronic Postoperative Pain in Patients 2 Years After Cardiac Surgery by Liu J, Wang C, Gao Y, Tian Y, Wang Y, Wang S

“…Jia Liu,1 Chunrong Wang,1 Yuchen Gao,1 Yu Tian,1 Yuefu Wang,2 Sudena Wang1 1Department of Anesthesiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China; 2Department of Anesthesiology and Surgical Intensive Care Unit, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence: Yuefu Wang, Department of Anesthesiology and Surgical Intensive Care Unit, Beijing Shijitan Hospital, Capital Medical University, 10 Tieyi Road, Haidian District, Beijing, People’s Republic of China, Tel +86-10-88398082, Email wangyuefu3806@bjsjth.comBackground and Purpose: Chronic postoperative pain (CPSP) after cardiac surgery can cause severe health problems. …”
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An Explainable Machine Learning Model to Predict Acute Kidney Injury After Cardiac Surgery: A Retrospective Cohort Study by Gao Y, Wang C, Dong W, Li B, Wang J, Li J, Tian Y, Liu J, Wang Y

“…Yuchen Gao,1,* Chunrong Wang,2,* Wenhao Dong,3 Bianfang Li,3 Jianhui Wang,1 Jun Li,1 Yu Tian,1 Jia Liu,1 Yuefu Wang3 1Department of Anesthesiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China; 2Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China; 3Department of Surgical Intensive Care Unit & Anesthesiology, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yuefu Wang, Department of Surgical Intensive Care Unit & Anesthesiology, Beijing Shijitan Hospital, Capital Medical University, 10 Tieyi Road, Haidian District, Beijing, People’s Republic of China, Email wangyuefu3806@bjsjth.cnBackground: To derive and validate a machine learning (ML) prediction model of acute kidney injury (AKI) that could be used for AKI surveillance and management to improve clinical outcomes.Methods: This retrospective cohort study was conducted in Fuwai Hospital, including patients aged 18 years and above undergoing cardiac surgery admitted between January 1, 2017, and December 31, 2018. …”
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