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329 results on '"Liang, Xiaolei"'

14. Simulation of Horizontal Double Head Screw Conveyor Based on EDEM

Author

Mei, Lei, Cheng, Chuang, Tan, Xin, Fan, Ziqiang, Liang, Xiaolei, Ceccarelli, Marco, Series Editor, Agrawal, Sunil K., Advisory Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, and Tan, Jianrong, editor

Published
2022
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18. Advance of Circulating Tumor Cells in the Prognosis and Management of Endometrial Cancer.

Author

Li, Hongli, Liu, Chang, Wang, Jing, Xu, Feixue, Yang, Yongxiu, and Liang, Xiaolei

Abstract

Endometrial cancer (EC) is a common gynecological malignancy and its mortality has been increasing in the last twenty years. A growing body of evidence suggests that circulating tumor cells (CTCs) may provide a more complete tumor profile, facilitate the understanding of the molecular mechanism and individual management of EC patients. In this review, we presented the presence and clinical applications of CTCs and disseminated tumor cells (DTCs) in EC, particularly for EC prognosis and management, also highlighted the diagnostic value of tumor cells in urine of EC patients, aim to help researchers better focus on their study in this field. [ABSTRACT FROM AUTHOR]

Published
2024
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40. A Method Based on SNSO for Solving Slot Planning Problem of Container Vessel Bays

Author

Liang, Xiaolei, Li, Bin, Li, Wenfeng, Zhang, Yu, Yang, Lin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Li, Wenfeng, editor, Ali, Shawkat, editor, Lodewijks, Gabriel, editor, Fortino, Giancarlo, editor, Di Fatta, Giuseppe, editor, Yin, Zhouping, editor, Pathan, Mukaddim, editor, Guerrieri, Antonio, editor, and Wang, Qiang, editor

Published
2016
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41. A Partition Berth Allocation Scheduler Based on Resource Utilization and Load Balancing

Author

Li, Bin, Zhang, Yu, Liang, Xiaolei, Yang, Lin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Li, Wenfeng, editor, Ali, Shawkat, editor, Lodewijks, Gabriel, editor, Fortino, Giancarlo, editor, Di Fatta, Giuseppe, editor, Yin, Zhouping, editor, Pathan, Mukaddim, editor, Guerrieri, Antonio, editor, and Wang, Qiang, editor

Published
2016
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43. Data‐independent acquisition for proteomic applications in early‐stage endometrial cancer progression.

Author

Cheng, Yuemei, Xing, Yijuan, Du, Junhong, Hu, Dan, Liang, Xiaolei, Liu, Chang, and Yang, Yongxiu

Subjects
DISEASE progression, IMMUNOHISTOCHEMISTRY, ONCOGENES, QUANTITATIVE research, EARLY detection of cancer, TUMOR classification, PROTEOMICS, GENE expression, ENDOMETRIAL tumors, FLUORESCENT antibody technique, DESCRIPTIVE statistics, RESEARCH funding, DATA analysis software, PRECANCEROUS conditions, PHOSPHORYLATION
Abstract

Aim: Most endometrial cancer (EC) patients are diagnosed at an early‐stage (FIGO stage I or II), with a favorable prognosis. However, some high‐grade, early‐stage EC patients have unexpected recurrences and undesirable results, the molecular alterations that underlie these tumors are far from being fully understood. Our goal was to use proteome analysis to examine dysregulated pathways in this specific subgroup of EC. Methods: We used data‐independent acquisition (DIA) quantitative proteomics to analyze cancer and matched paracancerous tissues from 20 EC patients (10 high‐grade and 10 low‐grade). Immunohistochemistry (IHC) analysis was used to validate protein expression of six hub genes. Results: In total, 7107 proteins were quantified, while 225 downregulated and 366 upregulated proteins in high‐grade cancer tissues, 130 downregulated and 413 upregulated proteins in high‐grade paracancerous tissues. The pathway associated with oxidative phosphorylation (OXPHOS) was upregulated and have similar expression patterns in high‐grade EC tissues and matched paracancerous tissues. OXPHOS‐related protein, ATP5F1D showed the best classification and diagnostic ability in distinguishing high‐grade from low‐grade EC. In both cancer and paracancerous tissues, double‐label immunofluorescence demonstrated ITGA4 and COL4A1 co‐localized at the basal membrane. Conclusions: Our present works elucidate that metabolism reprogramming is associated with high‐grade, early‐stage EC, particularly OXPHOS is upregulated. Noticeably, the paracancerous tissues have undergone molecular changes similar to cancer tissues, maybe they have signal exchange via secreted proteins (ITGA4 and COL4A1). The upregulation of OXPHOS‐related proteins may be the potential biomarker for EC diagnosis, and targeting OXPHOS metabolism might be an effective treatment for high‐grade, early‐stage EC. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Adaptive bald eagle search algorithm with elite swarm guiding and population memory crossover

Author

Zhang, Dongmei, Liang, Xiaolei, Cao, Yulian, Zhang, Mengdi, and Xiao, Di

Abstract

Bald eagle search (BES) algorithm is easy to fall into local optimums and the population diversity declines rapidly. To address the problems, an adaptive bald eagle search (ABES) algorithm with elite swarm guiding and population memory crossover is proposed. At the selecting stage, an elite population information is provided to replace a single information to guide location updating. At the searching stage, a population memory crossover strategy is proposed. The swooping stage is deleted in ABES due to search redundancy. Furthermore, the key parameters of ABES are designed to adjust adaptively to improve the population search ability. Finally, the test suite of CEC-2013 and three real-world engineering design problems are taken to test the performance of ABES, compared with seven state-of-art algorithms. The experimental results show that ABES has a much better comprehensive performance on convergence and local search capability than other selected algorithms.

Published
2024
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