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307 results on '"Hu, Limei"'

2. Analysis of Age of Information in Dual Updating Systems

Author

Chen, Zhengchuan, Deng, Dapeng, Yang, Howard H., Pappas, Nikolaos, Hu, Limei, Jia, Yunjian, Wang, Min, and Quek, Tony Q. S.

Subjects
Computer Science - Information Theory, Computer Science - Networking and Internet Architecture
Abstract

We study the average Age of Information (AoI) and peak AoI (PAoI) of a dual-queue status update system that monitors a common stochastic process. Although the double queue parallel transmission is instrumental in reducing AoI, the out of order of data arrivals also imposes a significant challenge to the performance analysis. We consider two settings: the M-M system where the service time of two servers is exponentially distributed; the M-D system in which the service time of one server is exponentially distributed and that of the other is deterministic. For the two dual-queue systems, closed-form expressions of average AoI and PAoI are derived by resorting to the graphic method and state flow graph analysis method. Our analysis reveals that compared with the single-queue system with an exponentially distributed service time, the average PAoI and the average AoI of the M-M system can be reduced by 33.3% and 37.5%, respectively. For the M-D system, the reduction in average PAoI and the average AoI are 27.7% and 39.7%, respectively. Numerical results show that the two dual-queue systems also outperform the M/M/2 single queue dual-server system with optimized arrival rate in terms of average AoI and PAoI.

Published
2022

13. Altered Regulation of HIF-1α in Naive- and Drug-Resistant EGFR-Mutant NSCLC: Implications for a Vascular Endothelial Growth Factor-Dependent Phenotype

Author

Nilsson, Monique B., Robichaux, Jacqulyne, Herynk, Matthew H., Cascone, Tina, Le, Xiuning, Elamin, Yasir, Patel, Sonia, Zhang, Fahao, Xu, Li, Hu, Limei, Diao, Lixia, Shen, Li, He, Junqin, Yu, Xiaoxing, Nikolinakos, Petros, Saintigny, Pierre, Fang, Bingliang, Girard, Luc, Wang, Jing, Minna, John D., Wistuba, Ignacio I., and Heymach, John V.

Published
2021
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18. SUPPLEMENTARY figure 7 from IGFBP2 Activates the NF-κB Pathway to Drive Epithelial–Mesenchymal Transition and Invasive Character in Pancreatic Ductal Adenocarcinoma

Author

Gao, Song, primary, Sun, Yan, primary, Zhang, Xuebin, primary, Hu, Limei, primary, Liu, Yuexin, primary, Chua, Corrine Yingxuan, primary, Phillips, Lynette M., primary, Ren, He, primary, Fleming, Jason B., primary, Wang, Huamin, primary, Chiao, Paul J., primary, Hao, Jihui, primary, and Zhang, Wei, primary

Published
2023
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19. Supplementary Table 2 from IGFBP2 Activates the NF-κB Pathway to Drive Epithelial–Mesenchymal Transition and Invasive Character in Pancreatic Ductal Adenocarcinoma

Author

Gao, Song, primary, Sun, Yan, primary, Zhang, Xuebin, primary, Hu, Limei, primary, Liu, Yuexin, primary, Chua, Corrine Yingxuan, primary, Phillips, Lynette M., primary, Ren, He, primary, Fleming, Jason B., primary, Wang, Huamin, primary, Chiao, Paul J., primary, Hao, Jihui, primary, and Zhang, Wei, primary

Published
2023
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20. Data from IGFBP2 Activates the NF-κB Pathway to Drive Epithelial–Mesenchymal Transition and Invasive Character in Pancreatic Ductal Adenocarcinoma

Author

Gao, Song, primary, Sun, Yan, primary, Zhang, Xuebin, primary, Hu, Limei, primary, Liu, Yuexin, primary, Chua, Corrine Yingxuan, primary, Phillips, Lynette M., primary, Ren, He, primary, Fleming, Jason B., primary, Wang, Huamin, primary, Chiao, Paul J., primary, Hao, Jihui, primary, and Zhang, Wei, primary

Published
2023
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21. SUPPLEMENTARY figure 4 from IGFBP2 Activates the NF-κB Pathway to Drive Epithelial–Mesenchymal Transition and Invasive Character in Pancreatic Ductal Adenocarcinoma

Author

Gao, Song, primary, Sun, Yan, primary, Zhang, Xuebin, primary, Hu, Limei, primary, Liu, Yuexin, primary, Chua, Corrine Yingxuan, primary, Phillips, Lynette M., primary, Ren, He, primary, Fleming, Jason B., primary, Wang, Huamin, primary, Chiao, Paul J., primary, Hao, Jihui, primary, and Zhang, Wei, primary

Published
2023
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22. SUPPLEMENTARY figure 5 from IGFBP2 Activates the NF-κB Pathway to Drive Epithelial–Mesenchymal Transition and Invasive Character in Pancreatic Ductal Adenocarcinoma

Author

Gao, Song, primary, Sun, Yan, primary, Zhang, Xuebin, primary, Hu, Limei, primary, Liu, Yuexin, primary, Chua, Corrine Yingxuan, primary, Phillips, Lynette M., primary, Ren, He, primary, Fleming, Jason B., primary, Wang, Huamin, primary, Chiao, Paul J., primary, Hao, Jihui, primary, and Zhang, Wei, primary

Published
2023
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23. Supplemental figure legends from IGFBP2 Activates the NF-κB Pathway to Drive Epithelial–Mesenchymal Transition and Invasive Character in Pancreatic Ductal Adenocarcinoma

Author

Gao, Song, primary, Sun, Yan, primary, Zhang, Xuebin, primary, Hu, Limei, primary, Liu, Yuexin, primary, Chua, Corrine Yingxuan, primary, Phillips, Lynette M., primary, Ren, He, primary, Fleming, Jason B., primary, Wang, Huamin, primary, Chiao, Paul J., primary, Hao, Jihui, primary, and Zhang, Wei, primary

Published
2023
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24. SUPPLEMENTARY figure 2 from IGFBP2 Activates the NF-κB Pathway to Drive Epithelial–Mesenchymal Transition and Invasive Character in Pancreatic Ductal Adenocarcinoma

Author

Gao, Song, primary, Sun, Yan, primary, Zhang, Xuebin, primary, Hu, Limei, primary, Liu, Yuexin, primary, Chua, Corrine Yingxuan, primary, Phillips, Lynette M., primary, Ren, He, primary, Fleming, Jason B., primary, Wang, Huamin, primary, Chiao, Paul J., primary, Hao, Jihui, primary, and Zhang, Wei, primary

Published
2023
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25. SUPPLEMENTARY figure 3 from IGFBP2 Activates the NF-κB Pathway to Drive Epithelial–Mesenchymal Transition and Invasive Character in Pancreatic Ductal Adenocarcinoma

Author

Gao, Song, primary, Sun, Yan, primary, Zhang, Xuebin, primary, Hu, Limei, primary, Liu, Yuexin, primary, Chua, Corrine Yingxuan, primary, Phillips, Lynette M., primary, Ren, He, primary, Fleming, Jason B., primary, Wang, Huamin, primary, Chiao, Paul J., primary, Hao, Jihui, primary, and Zhang, Wei, primary

Published
2023
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26. SUPPLEMENTARY figure 6 from IGFBP2 Activates the NF-κB Pathway to Drive Epithelial–Mesenchymal Transition and Invasive Character in Pancreatic Ductal Adenocarcinoma

Author

Gao, Song, primary, Sun, Yan, primary, Zhang, Xuebin, primary, Hu, Limei, primary, Liu, Yuexin, primary, Chua, Corrine Yingxuan, primary, Phillips, Lynette M., primary, Ren, He, primary, Fleming, Jason B., primary, Wang, Huamin, primary, Chiao, Paul J., primary, Hao, Jihui, primary, and Zhang, Wei, primary

Published
2023
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27. Supplementary Table 3 from IGFBP2 Activates the NF-κB Pathway to Drive Epithelial–Mesenchymal Transition and Invasive Character in Pancreatic Ductal Adenocarcinoma

Author

Gao, Song, primary, Sun, Yan, primary, Zhang, Xuebin, primary, Hu, Limei, primary, Liu, Yuexin, primary, Chua, Corrine Yingxuan, primary, Phillips, Lynette M., primary, Ren, He, primary, Fleming, Jason B., primary, Wang, Huamin, primary, Chiao, Paul J., primary, Hao, Jihui, primary, and Zhang, Wei, primary

Published
2023
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35. Analysis of Age of Information in Dual Updating Systems

Author

Chen, Zhengchuan, Deng, Dapeng, Yang, Howard H., Pappas, Nikolaos, Hu, Limei, Jia, Yunjian, Wang, Min, Quek, Tony Q. S., Chen, Zhengchuan, Deng, Dapeng, Yang, Howard H., Pappas, Nikolaos, Hu, Limei, Jia, Yunjian, Wang, Min, and Quek, Tony Q. S.

Abstract

We study the average Age of Information (AoI) and peak AoI (PAoI) of a dual-queue status update system that monitors a common stochastic process through two independent channels. Although the double queue parallel transmission is instrumental in reducing AoI, the out of order of data arrivals also imposes a significant challenge to the performance analysis. We consider two settings: the M-M system where the service time of two servers is exponentially distributed; the M-D system in which the service time of one server is exponentially distributed and that of the other is deterministic. For the two dual-queue systems, closed-form expressions of average AoI and PAoI are derived by resorting to the graphic method and state flow graph analysis method. Our analysis reveals that when the two servers have the same service rate, compared with the single-queue system with an exponentially distributed service time, the average PAoI and the average AoI of the M-M system decrease by 33.3% and 37.5%, respectively, and those of the M-D system decrease by 27.7% and 39.7%, respectively. Numerical results show that the two dual-queue systems also outperform the M/M/2 single queue dual-server system with optimized arrival rate in terms of average AoI and PAoI., Funding Agencies|National Natural Science Foundation of China [62271092, 61971077, 62001074, 62271513]; Entrepreneurship and Innovation Support Plan of Chongqing for Returned Overseas Scholars [cx2021092]; Chongqing Postdoctoral International Exchange Program [2021XSJL001]; Zhejiang Provincial Natural Science Foundation of China [LGJ22F010001]; Zhejiang-Singapore Innovation and AI Joint Research Laboratory; Swedish Research Council (VR), ELLIIT, Zenith; European Union (ETHER) [101096526]; National Research Foundation, Singapore; Infocomm Media Development Authority under its Future Communications Research and Development Programme; MOE ARF Tier 2 [T2EP20120-0006]

Published
2023
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39. Beyond BRCA: Discovery of novel causes and consequences of homologous recombination deficiencies

Author

McGrail, Daniel J., primary, Li, Yang, additional, Smith, Roger S., additional, Feng, Bin, additional, Dai, Hui, additional, Li, Yongsheng, additional, Hu, Limei, additional, Dennehey, Briana, additional, Awasthi, Sharad, additional, Mendillo, Marc L., additional, Mills, Gordon B., additional, Lin, Shiaw-Yih, additional, Yi, S. Stephen, additional, and Sahni, Nidhi, additional

Published
2022
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40. Evacetrapib Elicits Antitumor Effects on Colorectal Cancer by Inhibiting the Wnt/β-Catenin Signaling Pathway and Activating the JNK Signaling Pathway

Author

Hu, Limei, primary, Dong, Haiyan, additional, He, Lingyuan, additional, Shi, Mengchen, additional, Xiang, Nanlin, additional, Su, Yixi, additional, Wang, Chen, additional, Tian, Yu, additional, Hu, Yijia, additional, Wang, Huihui, additional, Liu, Huanliang, additional, Wen, Chuangyu, additional, and Yang, Xiangling, additional

Published
2022
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42. The Effect of Work Environment, Motivation, and Leadership on Employee Performance with Employee Engagement as Mediating Variable

Author

Glisina Dwinoor Rembulan, Hu Limei, and Filscha Nurprihatin

Subjects
General Medicine
Abstract

Performance appraisal is a major factor in company development, so companies can assess the level of achievement of the vision and mission, business performance appraisal, manager appraisal, cross-departmental assessment, and assessment of all employees in the company. This assessment is intended to predict the company's future expectations. The purpose of this study is to analyze and determine which factors affect employee performance in the workplace. This research is conducted at one of the construction services companies where the number of skilled employees continues to decrease, and the company has experienced a decline in achievement of Key Performance Indicators (KPI) from 2015 to 2018. The analysis technique used in this study uses the Structural Equation Modeling method. (SEM) with the help of SmartPLS (Partial Least Square) software. The results of the analysis show that the work environment variable (X1) has a positive and significant relationship to the employee engagement variable (Y1) and has a positive but not significant effect on the Employee Performance variable (Y2), the motivation variable (X2) has a positive and a significant influence on the employee engagement variable (Y1) and employee performance (Y2). The leadership variable (X3) has a positive but not significant effect on the employee engagement variable (Y1) and has a positive but not significant effect on the employee performance variable (Y2). The employee engagement variable (Y1) as a mediating variable has a positive and significant effect on the employee performance variable (Y2). The results also show that the employee engagement variable has a simultaneous influence of 56.8% which can be explained by the variables of work environment, motivation, and leadership. Employee performance variables have a simultaneous effect of 60.5% which can be explained by the variables of work environment, motivation, leadership, and employee engagement.

Published
2022

43. Abstract 3260: Enhanced lineage plasticity in RTK-independent TKI-resistant EGFR-mutant NSCLC

Author

Le, Xiuning, primary, Wang, Ruiping, additional, Vokes, Natalie, additional, Elamin, Yasir, additional, Kalhor, Neda, additional, McGrail, Daniel, additional, Xi, Yuanxin, additional, III, Santiago Treviño, additional, Hong, Lingzhi, additional, Du, Robyn, additional, Blumenschein, George, additional, Gay, Carl, additional, Negrao, Marcelo, additional, Altan, Mehmet, additional, Tran, Hai, additional, Hu, Limei, additional, Wang, Jing, additional, Heeke, Simon, additional, Nilsson, Monique, additional, Robichaux, Jacqulyne, additional, Dang, Minghao, additional, Han, Guangchun, additional, Byers, Lauren, additional, Tsao, Anne, additional, Sepesi, Boris, additional, Bernatchez, Chantale, additional, Zhang, Jianjun, additional, Wang, Linghua, additional, and Heymach, John, additional

Published
2022
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48. Information Freshness in A Dual Monitoring System

Author

Deng, Dapeng, Chen, Zhengchuan, Yang, Howard H., Pappas, Nikolaos, Hu, Limei, Wang, Min, Jia, Yunjian, Quek, Tony Q. S., Deng, Dapeng, Chen, Zhengchuan, Yang, Howard H., Pappas, Nikolaos, Hu, Limei, Wang, Min, Jia, Yunjian, and Quek, Tony Q. S.

Abstract

We study the average age of information (AoI) and peak AoI (PAoI) of a dual-queue status update system that monitors a common stochastic process. We capture the state transition characteristics of the considered system by establishing a Markov chain. Using the state flow graph analysis method, we derive closed-form expressions of the average peak age of information (PAoI) and the average age of information (AoI) for the dual-queue update system. The numerical results show that compared with the single-queue update system, the average PAoI of the dual-queue update system is reduced by 33.5% and the average AoI dropped by 37.5%., Funding Agencies|National Natural Science Foundation of China [61901066, 61971077]; National Mobile Communications Research Laboratory, Southeast University [2021D13]; China Postdoctoral Science Foundation [2021MD703938]; Swedish Research Council (VR); ELLIIT; CENIIT

Published
2022
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