Zobrazeno 1 - 10
of 6 264
pro vyhledávání: '"Zhaohong An"'
Autor:
Dilinaer Wusiman, Wenbin Li, Lei Guo, Zehao Huang, Yi Zhang, Xiwei Zhang, Xiaohui Zhao, Lin Li, Zhaohong An, Zhengjiang Li, Jianming Ying, Changming An
Publikováno v:
Heliyon, Vol 9, Iss 12, Pp e22656- (2023)
Recent studies have shown that B cells and the associated tertiary lymphoid structures (TLS) correlate with the response of patients to immune checkpoint inhibitors (ICIs) and predict overall survival (OS) in cancer patients. We screened 145 B cell m
Externí odkaz:
https://doaj.org/article/fa47bb464eed4e99ae84fee08308e3e6
Computational protein design (CPD) refers to the use of computational methods to design proteins. Traditional methods relying on energy functions and heuristic algorithms for sequence design are inefficient and do not meet the demands of the big data
Externí odkaz:
http://arxiv.org/abs/2410.21069
Autor:
Aziz, Haris, Huang, Xin, Kimura, Kei, Saha, Indrajit, Sun, Zhaohong, Suzuki, Mashbat, Yokoo, Makoto
We consider the problem of fair allocation of indivisible items with subsidies when agents have weighted entitlements. After highlighting several important differences from the unweighted case, we present several results concerning weighted envy-free
Externí odkaz:
http://arxiv.org/abs/2408.08711
Quadrotor motion planning is critical for autonomous flight in complex environments, such as rescue operations. Traditional methods often employ trajectory generation optimization and passive time allocation strategies, which can limit the exploitati
Externí odkaz:
http://arxiv.org/abs/2408.00275
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks
Graph neural networks (GNNs) are widely applied in graph data modeling. However, existing GNNs are often trained in a task-driven manner that fails to fully capture the intrinsic nature of the graph structure, resulting in sub-optimal node and graph
Externí odkaz:
http://arxiv.org/abs/2407.11361
Despite the Graph Neural Networks' (GNNs) proficiency in analyzing graph data, achieving high-accuracy and interpretable predictions remains challenging. Existing GNN interpreters typically provide post-hoc explanations disjointed from GNNs' predicti
Externí odkaz:
http://arxiv.org/abs/2407.11358
Streaming feature selection techniques have become essential in processing real-time data streams, as they facilitate the identification of the most relevant attributes from continuously updating information. Despite their performance, current algori
Externí odkaz:
http://arxiv.org/abs/2406.14401
With the rapid development of power distribution systems (PDSs), the number of terminal devices and the types of delivered services involved are constantly growing. These trends make the operations of PDSs highly dependent on the support of advanced
Externí odkaz:
http://arxiv.org/abs/2403.01257
Grid modernization has increased the reliance of power networks on cyber networks within distribution systems (DSs), heightening their vulnerability to disasters. Communication network failures significantly impede DS load recovery by diminishing obs
Externí odkaz:
http://arxiv.org/abs/2403.01253
Autor:
Zhong, Jian, Chen, Chen, Kim, Young-Jin, Huang, Yuxiong, Teng, Mengjie, Bian, Yiheng, Bie, Zhaohong
Distribution system (DS) communication failures following extreme events often degrade monitoring and control functions, thus preventing the acquisition of complete global DS component state information, on which existing post-disaster DS restoration
Externí odkaz:
http://arxiv.org/abs/2403.01256