Zobrazeno 1 - 10
of 2 997
pro vyhledávání: '"LI WenWen"'
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 12, Pp 37-43 (2024)
For Ni3Al-based superalloy IC10 turbine blades， some defects， such as cracks and ablations， would appear after long-term service. To shorten the overhaul period， the turbine blades can be repaired using the brazing technology. In this study
Externí odkaz:
https://doaj.org/article/09ec3c04accf4c60af29d680dc7fd2c2
Autor:
Zhou Xuelan, Lu Xiaolu, Lin Cheng, Zou Xiaofang, Li Wenwen, Zeng Xiangyi, Wang Jie, Zeng Pei, Wang Weiwei, Zhang Jin, Jiang Haihai, Li Jian
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 56, Pp 1813-1822 (2024)
The main protease (Mpro) of coronaviruses plays a key role in viral replication, thus serving as a hot target for drug design. PF-00835231 is a promising inhibitor of SARS-CoV-2 Mpro. Here, we report the inhibitory potency of PF-00835231 against SARS
Externí odkaz:
https://doaj.org/article/bdeea7c65123491995b0c38948917a99
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 4, Pp 601-606 (2024)
Beta-thalassemia major(β-TM)is an inherited disease caused by a defect in the synthesis of globin. The disease requires long-term blood transfusion and iron chelator treatment, which can cause various secondary changes in the body and eye tissues. C
Externí odkaz:
https://doaj.org/article/b9a9bc24d7744683b208c1ebf67f5248
Crystal structures of main proteases of SARS-CoV-2 variants bound to a benzothiazole-based inhibitor
Autor:
Luo Jiqing, Wang Weiwei, Jiang Haihai, Li Wenwen, Zeng Pei, Wang Jie, Zhou Xuelan, Zou Xiaofang, Chen Shenghui, Wang Qisheng, Zhang Jin, Li Jian
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 55, Pp 1257-1264 (2023)
Main protease (M pro) serves as an indispensable factor in the life cycle of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as well as its constantly emerging variants and is therefore considered an attractive target for antiviral drug
Externí odkaz:
https://doaj.org/article/6781e02032c4430cbe055163abfd5dda
Autor:
Wang Zhirun, Li Wenwen
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Amid the escalating demand for heightened realism across diverse sectors such as film, television, gaming, tourism, virtual display, and the preservation of cultural heritage, there has been a notable advancement in reverse modeling technology that f
Externí odkaz:
https://doaj.org/article/76a49a27b16c42a4a134c8d718fee714
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper first investigates cognitive psychology and art design, divides cognitive memory into sensory memory, short-term memory and long-term memory according to cognitive psychology, and investigates art design's needs, psychology and creative th
Externí odkaz:
https://doaj.org/article/beca4d5f65034871a142d41f30f0d672
Autor:
Szwarcman, Daniela, Roy, Sujit, Fraccaro, Paolo, Gíslason, Þorsteinn Elí, Blumenstiel, Benedikt, Ghosal, Rinki, de Oliveira, Pedro Henrique, Almeida, Joao Lucas de Sousa, Sedona, Rocco, Kang, Yanghui, Chakraborty, Srija, Wang, Sizhe, Kumar, Ankur, Truong, Myscon, Godwin, Denys, Lee, Hyunho, Hsu, Chia-Yu, Asanjan, Ata Akbari, Mujeci, Besart, Keenan, Trevor, Arevalo, Paulo, Li, Wenwen, Alemohammad, Hamed, Olofsson, Pontus, Hain, Christopher, Kennedy, Robert, Zadrozny, Bianca, Cavallaro, Gabriele, Watson, Campbell, Maskey, Manil, Ramachandran, Rahul, Moreno, Juan Bernabe
This technical report presents Prithvi-EO-2.0, a new geospatial foundation model that offers significant improvements over its predecessor, Prithvi-EO-1.0. Trained on 4.2M global time series samples from NASA's Harmonized Landsat and Sentinel-2 data
Externí odkaz:
http://arxiv.org/abs/2412.02732
Autor:
Wang, Sizhe, Li, Wenwen
This study introduces a novel approach to terrain feature classification by incorporating spatial point pattern statistics into deep learning models. Inspired by the concept of location encoding, which aims to capture location characteristics to enha
Externí odkaz:
http://arxiv.org/abs/2411.14560
Autor:
Tian, Yuanyuan, Li, Wenwen, Hu, Lei, Chen, Xiao, Brook, Michael, Brubaker, Michael, Zhang, Fan, Liljedahl, Anna K.
Retrieval and recommendation are two essential tasks in modern search tools. This paper introduces a novel retrieval-reranking framework leveraging Large Language Models (LLMs) to enhance the spatiotemporal and semantic associated mining and recommen
Externí odkaz:
http://arxiv.org/abs/2411.12880
Autor:
Wei, Xujun, Zhang, Feng, Zhang, Renhe, Li, Wenwen, Liu, Cuiping, Guo, Bin, Li, Jingwei, Fu, Haoyang, Tang, Xu
In the past few years, Artificial Intelligence (AI)-based weather forecasting methods have widely demonstrated strong competitiveness among the weather forecasting systems. However, these methods are insufficient for high-spatial-resolution short-ter
Externí odkaz:
http://arxiv.org/abs/2411.10144