Zobrazeno 1 - 10
of 1 238
pro vyhledávání: '"Gang, Yan"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Complex systems with many interacting nodes are inherently stochastic and best described by stochastic differential equations. Despite increasing observation data, inferring these equations from empirical data remains challenging. Here, we p
Externí odkaz:
https://doaj.org/article/294db17d9fd540a3a9cfa055a348a86b
Publikováno v:
Environmental Science and Ecotechnology, Vol 22, Iss , Pp 100499- (2024)
Externí odkaz:
https://doaj.org/article/70398f9163e649a7a131fee77d30dcd0
Autor:
Amina Jamal Laham, Raafat El-Awady, Maha Saber-Ayad, Ni Wang, Gang Yan, Julien Boudreault, Suhad Ali, Jean-Jacques Lebrun
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-14 (2024)
Abstract Metastatic cancer remains incurable as patients eventually loose sensitivity to targeted therapies and chemotherapies, further leading to poor clinical outcome. Thus, there is a clear medical gap and urgent need to develop efficient and impr
Externí odkaz:
https://doaj.org/article/7ac78467d008458db01501e034a856d6
Autor:
Sophie Poulet, Meiou Dai, Ni Wang, Gang Yan, Julien Boudreault, Girija Daliah, Alan Guillevin, Huong Nguyen, Soaad Galal, Suhad Ali, Jean-Jacques Lebrun
Publikováno v:
Molecular Cancer, Vol 23, Iss 1, Pp 1-21 (2024)
Abstract Triple negative breast cancer (TNBC) remains exceptionally challenging to treat. While CDK4/6 inhibitors have revolutionized HR + breast cancer therapy, there is limited understanding of their efficacy in TNBC and meaningful predictors of re
Externí odkaz:
https://doaj.org/article/3ddec7cce3fe4a53a1ef7d7d12b745e5
Publikováno v:
Case Studies in Thermal Engineering, Vol 61, Iss , Pp 105069- (2024)
The migration and redistribution of refrigerant are critical factors that affect the refrigeration system performance. To improve the defrosting and start-up heating performance, it is essential to investigate the transient distribution characteristi
Externí odkaz:
https://doaj.org/article/b36542e97b63492da3bb9ca3361708a0
Autor:
Nanchi Shen, Jiani Tan, Wenjin Wang, Wenbo Xue, Yangjun Wang, Ling Huang, Gang Yan, Yu Song, Li Li
Publikováno v:
Environment International, Vol 191, Iss , Pp 108958- (2024)
Regional budget assessments of methane (CH4) are critical for future climate and environmental management. CH4 emissions from rice cultivation (CH4-rice) constitute one of the most significant sources. However, previous studies mainly focus on histor
Externí odkaz:
https://doaj.org/article/c03a2b14275f4dde8d715b9e258093cf
Autor:
Weiling Wu, Qian Tang, Wenbo Xue, Xurong Shi, Dadi Zhao, Zeyuan Liu, Xin Liu, Chunlai Jiang, Gang Yan, Jinnan Wang
Publikováno v:
Environmental Science and Ecotechnology, Vol 20, Iss , Pp 100367- (2024)
Assessing the iron and steel industry's (ISI) impact on climate change and environmental health is vital, particularly in China, where this sector significantly influences air quality and CO2 emissions. There is a lack of comprehensive analyses that
Externí odkaz:
https://doaj.org/article/65d6baf8fce84d748983b2d8d4d2c459
Publikováno v:
Shiyou shiyan dizhi, Vol 46, Iss 2, Pp 402-411 (2024)
The investigation of oil and gas migration plays a vital role in the field of oil and gas exploration and development. Determining the direction and path of crude oil migration is challenging due to factors such as crude oil viscosity, complex chemic
Externí odkaz:
https://doaj.org/article/51152e934fca428e995e3c1bc815f76e
Publikováno v:
IET Computer Vision, Vol 18, Iss 2, Pp 247-259 (2024)
Abstract With the goal of solving the problem of feature extractors lacking strong supervision training and insufficient time information concerning single‐sequence model learning, a hierarchical sequence memory network with a multi‐level iterati
Externí odkaz:
https://doaj.org/article/0da7f4df0f3d4595a6a2845221b3c769
Autor:
Gang Yan, Meiou Dai, Sophie Poulet, Ni Wang, Julien Boudreault, Girija Daliah, Suhad Ali, Jean-Jacques Lebrun
Publikováno v:
Oncogenesis, Vol 12, Iss 1, Pp 1-13 (2023)
Abstract Triple negative breast cancer (TNBC) is defined as lacking the expressions of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). TNBC patients exhibit relatively poor clinical outcomes du
Externí odkaz:
https://doaj.org/article/11cb4faf48ab452ca2492a577b1bb1d9