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pro vyhledávání: '"JIA TAO"'
Although numerous studies report significant sex differences in functional connectivity, these differences do not sufficient to reveal specific functional disparities among brain regions or the topological differences in brain networks. Meanwhile, in
Externí odkaz:
http://arxiv.org/abs/2410.05923
Existing studies have demonstrated significant sex differences in the neural mechanisms of daily life and neuropsychiatric disorders. The hierarchical organization of the functional brain network is a critical feature for assessing these neural mecha
Externí odkaz:
http://arxiv.org/abs/2409.15833
Network embedding has numerous practical applications and has received extensive attention in graph learning, which aims at mapping vertices into a low-dimensional and continuous dense vector space by preserving the underlying structural properties o
Externí odkaz:
http://arxiv.org/abs/2408.02705
Autor:
Li, Juan, Mirzanejad, Amir, Dong, Wen-Han, Liu, Kun, Richter, Marcus, Wang, Xiao-Ye, Berger, Reinhard, Du, Shixuan, Auwärter, Willi, Barth, Johannes V., Ma, Ji, Müllen, Klaus, Feng, Xinliang, Sun, Jia-Tao, Muechler, Lukas, Palma, Carlos-Andres
The study of cycloaddition mechanisms is central to the fabrication of extended sp2 carbon nanostructures. Reaction modeling in this context has focused mostly on putative, energetically preferred, exothermic products with limited consideration for s
Externí odkaz:
http://arxiv.org/abs/2407.21756
Higher-order graph clustering aims to partition the graph using frequently occurring subgraphs. Motif conductance is one of the most promising higher-order graph clustering models due to its strong interpretability. However, existing motif conductanc
Externí odkaz:
http://arxiv.org/abs/2406.07357
Scientific collaboration is a significant behavior in knowledge creation and idea exchange. To tackle large and complex research questions, a trend of team formation has been observed in recent decades. In this study, we focus on recognizing collabor
Externí odkaz:
http://arxiv.org/abs/2406.06617
The anomalous valley Hall effect (AVHE) is a pivotal phenomenon that allows for the exploitation of the valley degree of freedom in materials. A general strategy for its realization and manipulation is crucial for valleytronics. Here, by considering
Externí odkaz:
http://arxiv.org/abs/2405.06988
Autor:
You, Zi-Yi, Pan, Yun-Rong, Ma, Zhi, Zhang, Li, Xiao, Shuo, Zhang, Dan-Dan, Dang, Shi-Jun, Zhao, Ru-Shuang, Wang, Pei, Dong, Ai-Jun, Jiang, Jia-Tao, Leng, Ji-Bing, Li, Wei-An, Li, Si-Yao
Pulsar search is always the basis of pulsar navigation, gravitational wave detection and other research topics. Currently, the volume of pulsar candidates collected by Five-hundred-meter Aperture Spherical radio Telescope (FAST) shows an explosive gr
Externí odkaz:
http://arxiv.org/abs/2311.08134
Publikováno v:
npj Quantum Materials, Vol 9, Iss 1, Pp 1-9 (2024)
Abstract Light-matter interactions have emerged as a new research focus recently offering promises of unveiling novel physics and leading to applications under nonequilibrium conditions. The quantized Hall conductivities predicted by Floquet theory a
Externí odkaz:
https://doaj.org/article/b1c9860c183f424eb9dfa181e7f3c9c0
The information diffusion prediction on social networks aims to predict future recipients of a message, with practical applications in marketing and social media. While different prediction models all claim to perform well, general frameworks for per
Externí odkaz:
http://arxiv.org/abs/2309.09537