Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Zhibao Zheng"'
Autor:
Zhibao Zheng, Weizhen Liang, Renzhi Lin, Zhe Hu, Yichao Wang, Hongsheng Lu, Wenwu Zhong, Shijie Shen, Yin Pan
Publikováno v:
Small Structures, Vol 4, Iss 4, Pp n/a-n/a (2023)
Exploring new antibacterial materials is of great significance for limiting the transmission of germs and protecting human health. Although Ag and oxide nanoparticles have both been extensively used in the field of antibacterial, it is still urgently
Externí odkaz:
https://doaj.org/article/0522a773a1f940b68858bbbfdd3511e7
Publikováno v:
Frontiers in Pharmacology, Vol 14 (2023)
Despite the high mutation frequencies of KRAS, NRAS, and BRAF in colorectal cancer (CRC), there are no effective and reliable inhibitors for these biomarkers. Protocadherin-7 (PCDH7) is regarded as a potentially targetable surface molecule in cancer
Externí odkaz:
https://doaj.org/article/46764e0326d34d4eb15e0554cae432de
Autor:
Zhibao Zheng, Udo Nackenhorst
Publikováno v:
International Journal for Numerical Methods in Engineering 124 (2023), Nr. 16
International Journal for Numerical Methods in Engineering
International Journal for Numerical Methods in Engineering
This article presents an efficient nonlinear stochastic finite element method to solve stochastic elastoplastic problems. Similar to deterministic elastoplastic problems, we describe history-dependent stochastic elastoplastic behavior utilizing a ser
Semi-reduced order stochastic finite element methods for solving contact problems with uncertainties
Autor:
Zhibao Zheng, Udo Nackenhorst
Publikováno v:
Computational Mechanics (2023), online first
Computational Mechanics
Computational Mechanics
This paper develops two-step methods for solving contact problems with uncertainties. In the first step, we propose stochastic Lagrangian multiplier/penalty methods to compute a set of reduced basis. In the stochastic Lagrangian multiplier method, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d828dfa3692a5bebd38254f4075ed1d
Autor:
Chengxin Feng, Matthias Faes, Matteo Broggi, Chao Dang, Jiashu Yang, Zhibao Zheng, Michael Beer
ispartof: COMPUTERS AND GEOTECHNICS vol:153 status: published
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0badbaf3a4986d8c22b7440b0ef13403
https://lirias.kuleuven.be/handle/20.500.12942/720542
https://lirias.kuleuven.be/handle/20.500.12942/720542
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 405:115860
Publikováno v:
Discovery Medicine. 35:45
Publikováno v:
Probabilistic Engineering Mechanics. 71:103414
Publikováno v:
International journal for numerical methods in engineering 123 (2022), Nr. 23
International journal for numerical methods in engineering
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
International journal for numerical methods in engineering
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
This article presents an efficient numerical algorithm to compute eigenvalues of stochastic problems. The proposed method represents stochastic eigenvectors by a sum of the products of unknown random variables and deterministic vectors. Stochastic ei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ebc29fb8a1731b2ea1bcd95d2f8ae21
https://www.repo.uni-hannover.de/handle/123456789/13825
https://www.repo.uni-hannover.de/handle/123456789/13825
Publikováno v:
OncoTargets and Therapy. 12:3019-3030
Background: Cancer metastasis is the leading cause of cancer-related death in breast cancer. However, our understanding of its mechanisms is still limited. At this study, the biological roles and clinical significance of NRF3 (NFE2L3, nuclear factor,