Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Yong-Cong Chen"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Glioma stem cells have been recognized as key players in glioma recurrence and therapeutic resistance, presenting a promising target for novel treatments. However, the limited understanding of the role glioma stem cells play in the glioma hi
Externí odkaz:
https://doaj.org/article/a428372cc1b1402aba967ed3a429cc03
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Improvement in the survival rate of gastric cancer, a prevalent global malignancy and the leading cause of cancer-related mortality calls for more avenues in molecular therapy. This work aims to comprehend drug resistance and explore multipl
Externí odkaz:
https://doaj.org/article/aa1923011de640afa83c9d1cdc3bc0c4
Publikováno v:
Biology, Vol 13, Iss 8, p 564 (2024)
Breast cancer heterogeneity presents a significant challenge in clinical therapy, such as over-treatment and drug resistance. These challenges are largely due to its obscure normal epithelial origins, evolutionary stability, and transitions on the ca
Externí odkaz:
https://doaj.org/article/d0df1f8e7d684950a15dc32932ee9f14
Evolution of Telencephalon Anterior–Posterior Patterning through Core Endogenous Network Bifurcation
Publikováno v:
Entropy, Vol 26, Iss 8, p 631 (2024)
How did the complex structure of the telencephalon evolve? Existing explanations are based on phenomena and lack a first-principles account. The Darwinian dynamics and endogenous network theory—established decades ago—provides a mathematical and
Externí odkaz:
https://doaj.org/article/db35ba5990f3418e9a9974557e9faf7e
Autor:
Xiao-Mei Zhu, Xing-Xing Zhang, Run-Tan Cheng, He-Lin Yu, Ruo-Shi Yuan, Xu-Liang Bu, Jun Xu, Ping Ao, Yong-Cong Chen, Min-Juan Xu
Publikováno v:
Royal Society Open Science, Vol 6, Iss 4 (2019)
The production of secondary metabolites, while important for bioengineering purposes, presents a paradox in itself. Though widely existing in plants and bacteria, they have no definite physiological roles. Yet in both native habitats and laboratories
Externí odkaz:
https://doaj.org/article/4e8aca81fbed4e2ab8551472a4a987d8
Autor:
Yong-Cong Chen, 陳詠琮
88
In recent years, digital watermark is important for academic research and industry application. It can be applied in multimedia data such as digital music, images and videos etc. Watermarking technology adds a watermark, visible or invisible,
In recent years, digital watermark is important for academic research and industry application. It can be applied in multimedia data such as digital music, images and videos etc. Watermarking technology adds a watermark, visible or invisible,
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/19635431019725218831
Publikováno v:
Journal of Nonlinear Mathematical Physics.
We address the practical issue that popular computation platforms like Matlab$$^{\copyright }$$ © are unable to perform the Jordan normal (canonical) form J and the associated transform matrix P on a high-dimension matrix. Given the knowledge of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27367a4553203501eb59cf456b024561
https://doi.org/10.1007/s44198-023-00108-6
https://doi.org/10.1007/s44198-023-00108-6
Publikováno v:
Proceedings of the National Academy of Sciences. 119
A noisy stabilized Kuramoto-Sivashinsky equation is analyzed by stochastic decomposition. For values of control parameter for which periodic stationary patterns exist, the dynamics can be decomposed into diffusive and transverse parts which act on a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b26ca9540482afead87cf3b4b128f38e
https://doi.org/10.1073/pnas.2211359119
https://doi.org/10.1073/pnas.2211359119
Publikováno v:
Physical Review B. 106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0d1e8a6ccbbd720da2710b8b395c139
https://doi.org/10.1103/physrevb.106.104507
https://doi.org/10.1103/physrevb.106.104507
Publikováno v:
Proc Natl Acad Sci U S A
We formulate a general method to extend the decomposition of stochastic dynamics developed by Ao et al. [J. Phys. Math. Gen. 37, L25–L30 (2004)] to nonlinear partial differential equations which are nonvariational in nature and construct the global
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8756fb5416f186ef8a81a1c56a2e32b0
https://doi.org/10.1073/pnas.2012364117
https://doi.org/10.1073/pnas.2012364117