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5,093 results on '"Wang, Wenjie"'

251. The 1st Workshop on Decentralised Search and Recommendation

Author

Ragab, Mohamed, primary, Savateeve, Yury, additional, Wang, Wenjie, additional, Moosaei, Reza, additional, Tiropanis, Thanassis, additional, Poulovassilis, Alexandra, additional, Chapman, Adriane, additional, Oliver, Helen, additional, and Roussos, George, additional

Published
2024
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285. Deepfake Video Detection Exploiting Binocular Synchronization

Author

Wang, Wenjie, Wang, Zhongyuan, Wang, Guangcheng, Zou, Qin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Pimenidis, Elias, editor, Angelov, Plamen, editor, Jayne, Chrisina, editor, Papaleonidas, Antonios, editor, and Aydin, Mehmet, editor

Published
2022
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286. Survey of 3D Printer Security Offensive and Defensive

Author

Zhang, Jiayuan, Feng, Mengyue, Huang, Yuhang, Feng, Tao, Wang, Wenjie, Wang, He, Zhang, Han, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Cao, Chunjie, editor, Zhang, Yuqing, editor, Hong, Yuan, editor, and Wang, Ding, editor

Published
2022
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287. Design of Anti-Lock Braking System for FSAE Racing Vehicle Based on New Slip Ratio Observation Method

Author

Liu, Yicai, Wang, Da, Liang, Luxu, Zhang, Huitao, Wang, Wenjie, Lv, Mo, Wang, Yiyang, Sun, Yi, Yang, Shuai, China Society of Automotive Engineers, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, and Zhang, Junjie James, Series Editor

Published
2022
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288. Threat Intelligence Sharing Model and Profit Distribution Based on Blockchain and Smart Contracts

Author

Shi, Huiyang, Wang, Wenjie, Liu, Ling, Lin, Yue, Liu, Peng, Xie, Weiqiang, Wang, He, Zhang, Yuqing, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Liu, Qi, editor, Liu, Xiaodong, editor, Chen, Bo, editor, Zhang, Yiming, editor, and Peng, Jiansheng, editor

Published
2022
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289. Development and Validation of Prognostic Nomogram Based on Negative Lymph Node Count for Patients with Gastric Signet Ring Cell Carcinoma

Author

LI Jinzhou, WANG Wenjie, YAO Yalong, MU Yanxi, CHEN Kang, SHEN Yimin, WANG Zhou, HUANG Zeping, and CHEN Xiao

Subjects
gastric signet ring cell carcinoma, negative lymph node count, prognosis, nomogram, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Objective To explore the influence of negative lymph node count (NLNC) on the prognosis of patients with gastric signet ring cell carcinoma (GSRC) and develop a prognostic nomogram based on NLNC. Methods On the basis of the SEER database, 2 101 patients diagnosed with GSRC were collected and randomly divided into the modeling group and validation group to test the relationship between clinicopathological characteristics and the prognosis of GSRC. The multivariate Cox proportional hazard regression model was used to analyze the independent risk factors affecting overall survival and establish a prognostic prediction model. The consistency index (C-index), calibration curve, net reclassification index (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA) were used to evaluate the accuracy and clinical applicability of the nomogram. Results All patients were divided according to the ratio of 7:3, with 1 473 in the modeling group and 628 in the validation group. NLNC > 10 (HR=0.578, 95%CI: 0.504-0.662, P < 0.001) was a protective factor for the prognosis of patients with GSRC, and the nomogram model was established based on multivariate Cox proportional hazards model. The C-index values of the nomogram were 0.737 (95%CI: 0.720-0.753) and 0.724 (95%CI: 0.699-0.749) in the modeling and validation groups, respectively, showing good discrimination. The calibration curves showed high consistency of the model. NRI=17.77%, continuous NRI=36.34%, and IDI=4.2% indicated that the model had positive returns compared with the traditional model. The DCA was far from the baseline, indicating that the model had good clinical applicability. Conclusion The increase in NLNC is a favorable factor for the prognosis of patients with GSRC, and a relatively accurate nomogram was established to predict the prognosis of patients with GSRC and help clinicians conduct individualized prognostic evaluations.

Published
2022
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290. Model predictive control method of manipulator terminal constraint under co-simulation

Author

ZHANG Lei, LI Yishuai, WANG Xiaohua, and WANG Wenjie

Subjects
manipulator trajectory tracking control, model predictive control, terminal constraint, rolling optimization, co-simulation, gazebo, Materials of engineering and construction. Mechanics of materials, TA401-492, Environmental engineering, TA170-171
Abstract

A model predictive control method based on terminal constraint was proposed to address the trajectory tracking control problem of manipulator. Firstly, the trajectory tracking problem was transformed into a numerical programming problem of model predictive control by setting objective function and constraint conditions. Secondly, in order to ensure that each manipulator could effectively track the desired trajectory in the time domain, the terminal state equality constraint was applied to the original constraints. Finally, feedback correction control was realized by rolling optimization mechanism in the control time domain. The Gazebo-Simulink co-simulation platform was used to verify the effectiveness of the control method. The results show that the tracking error of each joint of the manipulator can be reduced to 1×10-3 rad within 0.31 s, which has good tracking performance and control stability.

Published
2022
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291. Prognostic Value of Negative Lymph Nodes Count in Solid Tumors

Author

LI Jinzhou, HUANG Zeping, MU Yanxi, YAO Yalong, WANG Wenjie, LIU Haipeng, LIU Jie, WANG Zhou, and CHEN Xiao

Subjects
solid tumors, negative lymph nodes count, prognosis, pathological staging system, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

The postoperative pathological staging system (pTNM) has become an important reference for the selection of various tumor treatment strategies and prognosis evaluation at a global scale, and is a powerful predictor of the prognosis of a variety of solid tumors, but the prognosis is still different in patients with the same pTNM staging. In recent years, studies have confirmed that the negative lymph nodes count (NLNC) is related to the prognosis of a variety of solid tumors. Higher NLNC can improve the prognosis of cancer patients, and NLNC can reduce staging migration, which is expected to be a supplement to the pTNM staging system. This article reviews the value of NLNC in the prognosis of solid tumors.

Published
2022
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