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Your search keyword '"Wang, Xianbo"' showing total 511 results
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511 results on '"Wang, Xianbo"'

1. Voice Revolution on Wheels: Porsche’s Pioneering Journey into Next-Gen In-Car Interactions

Author

Wen, Haoran, Qiao, Zixuan, Zhang, Bin, Yu, Ruilu, Ge, Xiaoxuan, Zhang, Yuan, Zhao, Yu, Wang, Xianbo, Ma, Yujie, Xu, Mengmeng, Guo, Yang, Jia, Jingpeng, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Marcus, Aaron, editor, Rosenzweig, Elizabeth, editor, and Soares, Marcelo M., editor

Published
2024
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11. Metabolic biomarkers significantly enhance the prediction of HBV-related ACLF occurrence and outcomes

Author

Zhang, Yan, Tan, Wenting, Wang, Xianbo, Zheng, Xin, Huang, Yan, Li, Beiling, Meng, Zhongji, Gao, Yanhang, Qian, Zhiping, Liu, Feng, Lu, Xiaobo, Shi, Yu, Shang, Jia, Yan, Huadong, Zheng, Yubao, Zhang, Weituo, Gu, Wenyi, Qiao, Liang, Deng, Guohong, Zhou, Yi, Hou, Yixin, Zhang, Qun, Xiong, Shue, Liu, Jing, Duan, Lihua, Chen, Ruochan, Chen, Jinjun, Jiang, Xiuhua, Luo, Sen, Chen, Yuanyuan, Jiang, Chang, Zhao, Jinming, Ji, Liujuan, Mei, Xue, Li, Jing, Li, Tao, Zheng, Rongjiong, Zhou, Xinyi, Ren, Haotang, Cheng, Xiaoliang, Guo, Lining, and Li, Hai

Published
2023
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19. Regression-based Chinese norms of number connection test A and digit symbol test for diagnosing minimal hepatic encephalopathy

Author

Zhang, Peng, primary, Gan, Danan, additional, Chi, Xiaoling, additional, Mao, Dewen, additional, Gao, Yueqiu, additional, Li, Yong, additional, Zhou, Daqiao, additional, Li, Qin, additional, Zhang, Mingxiang, additional, Lu, Bingjiu, additional, Li, Fengyi, additional, Xue, Jingdong, additional, Wang, Xianbo, additional, Du, Hongbo, additional, Li, Xiaoke, additional, Liang, Yijun, additional, and Ye, Yongan, additional

Published
2024
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21. Prevalence and clinical significance of serum sodium variability in patients with acute-on-chronic liver diseases: a prospective multicenter study in China

Author

Mei, Xue, Li, Hai, Deng, Guohong, Wang, Xianbo, Zheng, Xin, Huang, Yan, Chen, Jinjun, Meng, Zhongji, Gao, Yanhang, Liu, Feng, Lu, Xiaobo, Shi, Yu, Zheng, Yubao, Yan, Huadong, Zhang, Weituo, Qiao, Liang, Gu, Wenyi, Zhang, Yan, Xiang, Xiaomei, Zhou, Yi, Sun, Shuning, Hou, Yixin, Zhang, Qun, Xiong, Yan, Zou, Congcong, Chen, Jun, Huang, Zebing, Li, Beiling, Jiang, Xiuhua, Zhong, Guotao, Wang, Haiyu, Chen, Yuanyuan, Luo, Sen, Gao, Na, Liu, Chunyan, Li, Jing, Li, Tao, Zheng, Rongjiong, Zhou, Xinyi, Ren, Haotang, Yuan, Wei, and Qian, Zhiping

Published
2022
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22. Role of precipitants in transition of acute decompensation to acute-on-chronic liver failure in patients with HBV-related cirrhosis

Author

Wang, Tongyu, Tan, Wenting, Wang, Xianbo, Zheng, Xin, Huang, Yan, Li, Beiling, Meng, Zhongji, Gao, Yanhang, Qian, Zhiping, Liu, Feng, Lu, Xiaobo, Yan, Huadong, Zheng, Yubao, Zhang, Weituo, Yin, Shan, Gu, Wenyi, Zhang, Yan, Dong, Fuchen, Wei, Jianyi, Deng, Guohong, Xiang, Xiaomei, Zhou, Yi, Hou, Yixin, Zhang, Qun, Xiong, Shue, Liu, Jing, Long, Liyuan, Chen, Ruochan, Chen, Jinjun, Jiang, Xiuhua, Luo, Sen, Chen, Yuanyuan, Jiang, Chang, Zhao, Jinming, Ji, Liujuan, Mei, Xue, Li, Jing, Li, Tao, Zheng, Rongjiong, Zhou, Xinyi, Ren, Haotang, Shi, Yu, and Li, Hai

Published
2022
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28. An Empirical Study on Mobile Payment Credential Leaks and Their Exploits

Author

Shi, Shangcheng, Wang, Xianbo, Zeng, Kyle, Yang, Ronghai, Lau, Wing Cheong, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Garcia-Alfaro, Joaquin, editor, Li, Shujun, editor, Poovendran, Radha, editor, Debar, Hervé, editor, and Yung, Moti, editor

Published
2021
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29. Breaking and Fixing Third-Party Payment Service for Mobile Apps

Author

Shi, Shangcheng, Wang, Xianbo, Lau, Wing Cheong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sako, Kazue, editor, and Tippenhauer, Nils Ole, editor

Published
2021
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36. Development and Validation of a Machine Learning-Based Model Used for Predicting Hepatocellular Carcinoma Risk in Patients with Hepatitis B-Related Cirrhosis: A Retrospective Study.

Author

Hou, Yixin, Yan, Jianguo, Shi, Ke, Liu, Xiaoli, Gao, Fangyuan, Wu, Tong, Meng, Peipei, Zhang, Min, Jiang, Yuyong, and Wang, Xianbo

Subjects
ARTIFICIAL neural networks, DISEASE risk factors, HEPATOCELLULAR carcinoma, RECEIVER operating characteristic curves, CIRRHOSIS of the liver
Abstract

Objective was to estimate the 5-year cumulative risk of HCC in patients with HBC by utilizing an artificial neural network (ANN). Methods: We conducted this study with 1589 patients hospitalized at Beijing Ditan Hospital of Capital Medical University and People's Liberation Army Fifth Medical Center. The training cohort consisted of 913 subjects from Beijing Ditan Hospital of Capital Medical University, while the validation cohort comprised 676 subjects from People's Liberation Army Fifth Medical Center. Through univariate analysis, we identified factors that independently influenced the occurrence of HCC, which were then used to develop the ANN model. To evaluate the ANN model, we assessed its predictive accuracy, discriminative ability, and clinical net benefit using metrics such as the area under the receiver operating characteristic curve (AUC), concordance index (C-index), calibration curves. Results: In total, we included nine independent risk factors in the development of the ANN model. Remarkably, the AUC of the ANN model was 0.880, significantly outperforming the AUC values of other existing models including mPAGE-B (0.719) (95% CI 0.670– 0.768), PAGE-B (0. 710) (95% CI 0.660– 0.759), FIB-4 (0.693) (95% CI 0.640– 0.745), and Toronto hepatoma risk index (THRI) (0.705) (95% CI 0.654– 0.756) (p< 0.001 for all). The ANN model effectively stratified patients into low, medium, and high-risk groups based on their 5-year In the training cohort, the positive predictive value (PPV) for low-risk patients was 26.2% (95% CI 25.0– 27.4), and the negative predictive value (NPV) was 98.7% (95% CI 95.2– 99.7). For high-risk patients, the PPV was 54.7% (95% CI 48.6– 60.7), and the NPV was 91.6% (95% CI 89.4– 93.4). These findings were validated in the independent validation cohort. Conclusion: The ANNs model has good individualized prediction performance and may be helpful to evaluate the probability of the 5-year risk of HCC in patients with HBC. [ABSTRACT FROM AUTHOR]

Published
2024
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