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265 results on '"Jiang, Yunfei"'

4. Review of Numerical Algorithms for Aircraft Trajectory Optimization

Author

Jiang, Yunfei, Liu, Jin, Li, Fengyi, Hao, Mingrui, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, 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, 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, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, 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, Tan, Kay Chen, Series Editor, Qu, Yi, editor, Gu, Mancang, editor, Niu, Yifeng, editor, and Fu, Wenxing, editor

Published
2024
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8. A nomogram and heat map based on LASSO‐Cox regression for predicting the risk of early‐stage severe fever with thrombocytopenia syndrome patients developing into critical illness at 7‐day and 14‐day.

Author

Tong, Hanwen, Wang, Jun, Zhu, Naisheng, Li, Haopeng, Zhai, Yu, Shao, Binxia, Li, Huiying, Xia, Peng, Jiang, Yunfei, Jiang, Chenxiao, and Liu, Yun

Subjects
ASPARTATE aminotransferase, CRITICALLY ill, REGRESSION analysis, NOMOGRAPHY (Mathematics), THROMBOCYTOPENIA
Abstract

Severe fever with thrombocytopenia syndrome (SFTS) represents an emerging infectious disease characterized by a substantial mortality risk. Early identification of patients is crucial for effective risk assessment and timely interventions. In the present study, least absolute shrinkage and selection operator (LASSO)‐Cox regression analysis was conducted to identify key risk factors associated with progression to critical illness at 7‐day and 14‐day. A nomogram was constructed and subsequently assessed for its predictive accuracy through evaluation and validation processes. The risk stratification of patients was performed using X‐tile software. The performance of this risk stratification system was assessed using the Kaplan–Meier method. Additionally, a heat map was generated to visualize the results of these analyses. A total of 262 SFTS patients were included in this study, and four predictive factors were included in the nomogram, namely viral copies, aspartate aminotransferase (AST) level, C‐reactive protein (CRP), and neurological symptoms. The AUCs for 7‐day and 14‐day were 0.802 [95% confidence interval (CI): 0.707–0.897] and 0.859 (95% CI: 0.794–0.925), respectively. The nomogram demonstrated good discrimination among low, moderate, and high‐risk groups. The heat map effectively illustrated the relationships between risk groups and predictive factors, providing valuable insights with high predictive and practical significance. [ABSTRACT FROM AUTHOR]

Published
2024
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17. The coordinated regulation of early meiotic stages is dominated by non‐coding RNAs and stage‐specific transcription in wheat

Author

Jiang, Yunfei, primary, N'Diaye, Amidou, additional, Koh, Chu Shin, additional, Quilichini, Teagen D., additional, Shunmugam, Arun S. K., additional, Kirzinger, Morgan W., additional, Konkin, David, additional, Bekkaoui, Yasmina, additional, Sari, Ehsan, additional, Pasha, Asher, additional, Esteban, Eddi, additional, Provart, Nicholas J., additional, Higgins, James D., additional, Rozwadowski, Kevin, additional, Sharpe, Andrew G., additional, Pozniak, Curtis J., additional, and Kagale, Sateesh, additional

Published
2023
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23. Regularization Versus Dimension Reduction, Which Is Better?

Author

Jiang, Yunfei, Guo, Ping, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Rangan, C. Pandu, editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Liu, Derong, editor, Fei, Shumin, editor, Hou, Zengguang, editor, Zhang, Huaguang, editor, and Sun, Changyin, editor

Published
2007
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24. Parallel First-Order Dynamic Logic and Its Expressiveness and Axiomatization

Author

Zhang, Zhiguo, Jiang, Yunfei, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Xu, Ming, editor, Zhan, Yinwei, editor, Cao, Jiannong, editor, and Liu, Yijun, editor

Published
2007
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25. LP-TPOP: Integrating Planning and Scheduling Through Constraint Programming

Author

Liu, Yuechang, Jiang, Yunfei, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Yang, Qiang, editor, and Webb, Geoff, editor

Published
2006
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26. Comparison Between Two Languages Used to Express Planning Goals: CTL and E A G LE

Author

Huang, Wei, Wen, Zhonghua, Jiang, Yunfei, Chen, Aixiang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Yang, Qiang, editor, and Webb, Geoff, editor

Published
2006
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27. Intelligent Tutorial Planning Based on Extended Knowledge Structure Graph

Author

Duan, Zhuohua, Jiang, Yunfei, Cai, Zixing, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Pan, Zhigeng, editor, Aylett, Ruth, editor, Diener, Holger, editor, Jin, Xiaogang, editor, Göbel, Stefan, editor, and Li, Li, editor

Published
2006
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39. Multi-objective Particle Swarm Optimization Based Image Watermarking Scheme

Author

Fu YongGang, Wang HuiRong, Chen Lizhen, and Jiang Yunfei

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

A novel image watermarking scheme based on the statistics of the blocked DCT coefficients. The watermark is embedded into the middle frequency of those DCT coefficients by modulating the number of those positive and negative coefficients. In order to achieve better robustness and imperceptibility, multi-objective particle swarm optimization (MPSO) has been used in the watermark embedding and extracting procedure. The particle swarm optimization is applied to obtain optimum multiple scaling factors and the embedding strength. The experimental results show that the proposed scheme has significant improvement in term of imperceptibility and robustness under various general attacks.

Published
2017
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41. Research on Lightweight Technology of New Energy Vehicles

Author

Deng Fang, Jiang Chuanyu, Jiang Yunfei, Wu Jinhua, and Zhang Yuanqing

Subjects
Computer science, Data_MISCELLANEOUS, 0211 other engineering and technologies, New energy, 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Automotive engineering, Field (computer science), Environmental sciences, GE1-350, 021108 energy, Energy (signal processing), 0105 earth and related environmental sciences
Abstract

In this paper, the development status of lightweight technology of new energy vehicles is analyzed in detail, and the application of lightweight technology in the field of design and research of new energy vehicles is analyzed in depth, including the application of lightweight new technology and lightweight materials, and the specific problems arising from the application of lightweight technology in the field of new energy vehicles are analyzed. Then, the technical content and raw material demand of lightweight new energy vehicles are elaborated in detail, and the significance of lightweight new energy vehicles is analyzed. Finally, some feasible suggestions are put forward for the development of lightweight new energy vehicles.

Published
2021

46. Diphlorethohydroxycarmalol inhibits melanogenesis via protein kinase A/cAMP response element‐binding protein and extracellular signal‐regulated kinase‐mediated microphthalmia‐associated transcription factor downregulation in α‐melanocyte stimulating hormone‐stimulated B16F10 melanoma cells and zebrafish

Author

Ding, Yuling, primary, Jiang, Yunfei, additional, Im, Seung Tae, additional, Myung, Seungwon, additional, Kim, Hyun‐Soo, additional, and Lee, Seung‐Hong, additional

Published
2021
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