Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Nouman Amjad"'
Autor:
Rui-Cheng Yang, Xin-Yi Qu, Si-Yu Xiao, Liang Li, Bo-Jie Xu, Ji-Yang Fu, Yu-Jin Lv, Nouman Amjad, Chen Tan, Kwang Sik Kim, Huan-Chun Chen, Xiang-Ru Wang
Publikováno v:
Journal of Neuroinflammation, Vol 16, Iss 1, Pp 1-15 (2019)
Abstract Background Blood-brain barrier (BBB) disruption and neuroinflammation are considered key mechanisms of pathogenic Escherichia coli invasion of the brain. However, the specific molecules involved in meningitic E. coli-induced BBB breakdown an
Externí odkaz:
https://doaj.org/article/ce2f7ec3022b4a02971eeb191791e5a8
Autor:
Ruicheng Yang, Bojie Xu, Bo Yang, Jiyang Fu, Lu Liu, Nouman Amjad, Aoling Cai, Chen Tan, Huanchun Chen, Xiangru Wang
Publikováno v:
Molecular Therapy: Nucleic Acids, Vol 13, Iss , Pp 651-664 (2018)
With their essential regulatory roles in gene expression and high abundance in the brain, circular RNAs (circRNAs) have recently attracted considerable attention. Many studies have shown that circRNAs play important roles in the pathology of CNS dise
Externí odkaz:
https://doaj.org/article/4a1131a35f6b4a1ea251c524bbf339fd
Autor:
Jiyang Fu, Liang Li, Xiaopei Yang, Ruicheng Yang, Nouman Amjad, Lu Liu, Chen Tan, Huanchun Chen, Xiangru Wang
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 8 (2019)
Bacterial penetration of the blood-brain barrier requires its successful invasion of brain microvascular endothelial cells (BMECs), and host actin cytoskeleton rearrangement in these cells is a key prerequisite for this process. We have reported prev
Externí odkaz:
https://doaj.org/article/290df8ce642b41a68717bef1e7048377
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 6, Pp 2310-2325 (2024)
The prediction of liquefaction-induced lateral spreading/displacement (Dh) is a challenging task for civil/geotechnical engineers. In this study, a new approach is proposed to predict Dh using gene expression programming (GEP). Based on statistical r
Externí odkaz:
https://doaj.org/article/2aa21143334b4ceaa77c793edfaa74ff
Publikováno v:
In Journal of Rock Mechanics and Geotechnical Engineering June 2024 16(6):2310-2325
Data-driven intelligent modeling of unconfined compressive strength of heavy metal-contaminated soil
Autor:
Jaffar, Syed Taseer Abbas, Chen, Xiangsheng, Bao, Xiaohua, Raja, Muhammad Nouman Amjad, Abdoun, Tarek, El-Sekelly, Waleed
Publikováno v:
In Journal of Rock Mechanics and Geotechnical Engineering May 2024
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 15, Iss 3, Pp 773-788 (2023)
Settlement prediction of geosynthetic-reinforced soil (GRS) abutments under service loading conditions is an arduous and challenging task for practicing geotechnical/civil engineers. Hence, in this paper, a novel hybrid artificial intelligence (AI)-b
Externí odkaz:
https://doaj.org/article/536ca52f8fd64d83a206928c5ebc3f61
Publikováno v:
Buildings, Vol 14, Iss 4, p 954 (2024)
This study introduces a novel application of gene expression programming (GEP) for the reliability analysis (RA) of reinforced soil foundations (RSFs) based on settlement criteria, addressing a critical gap in sustainable construction practices. Base
Externí odkaz:
https://doaj.org/article/5cde0e8585ab4adbbda7b03b8bd4ae61
Autor:
Kardani, Navid, Aminpour, Mohammad, Nouman Amjad Raja, Muhammad, Kumar, Gaurav, Bardhan, Abidhan, Nazem, Majidreza
Publikováno v:
In Transportation Geotechnics September 2022 36
Publikováno v:
In Transportation Geotechnics July 2022 35