Zobrazeno 1 - 10
of 223
pro vyhledávání: '"structural patterns"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e1870 (2024)
It is critical to accurately predict the future popularity of information cascades for many related applications, such as online opinion warning or academic influence evaluation. Despite many efforts devoted to developing effective prediction approac
Externí odkaz:
https://doaj.org/article/4549de8bb6514f42baf73404739d8e40
Publikováno v:
Российский психологический журнал, Vol 19, Iss 1, Pp 127-142 (2022)
Introduction. Currently, the study of cognitive and metacognitive processes in professional activity is becoming particularly relevant. In terms of solving this strategic task, it is objectively necessary to converge research in two important areas,
Externí odkaz:
https://doaj.org/article/b8e3e9161d194a48822f3ea8fecbe261
Publikováno v:
IEEE Access, Vol 10, Pp 53418-53432 (2022)
Existing malicious device detection preprocessing ignores the topological similarity of node neighborhood structures in the network. According to the structural equivalence hypothesis, devices with approximately local symmetry in the device-account g
Externí odkaz:
https://doaj.org/article/d4fdca07c11d45ff9e1de310cffd048b
Publikováno v:
Biomolecules, Vol 13, Iss 7, p 1031 (2023)
Heme is a double-edged sword. On the one hand, it has a pivotal role as a prosthetic group of hemoproteins in many biological processes ranging from oxygen transport and storage to miRNA processing. On the other hand, heme can transiently associate w
Externí odkaz:
https://doaj.org/article/0448262cf3ff43508b209039ad9b8475
Autor:
Fan Zhang, Tian-Ming Bu
Publikováno v:
IEEE Access, Vol 9, Pp 151285-151293 (2021)
Graph neural networks (GNNs) have been the dominant approaches for graph representation learning. However, most GNNs are applied to homophily graphs and perform poorly on heterophily graphs. Meanwhile, these GNNs fail to directly capture long-range d
Externí odkaz:
https://doaj.org/article/270e379a7473422bb382ef7305a6eb05
Autor:
Feng‐Hua Wang, Li‐Yan Sun, Xiao‐Mei Cui, He‐Dan Zhao, Ling‐Fei Yang, Zheng Wang, Tong‐Kun Shi
Publikováno v:
Brain and Behavior, Vol 12, Iss 6, Pp n/a-n/a (2022)
Abstract Objective To evaluate and compare the effects of three courses of different structural patterns of electroencephalography neurofeedback on predominantly inattentive attention deficit hyperactivity disorder (ADHD‐PI) and combined ADHD (ADHD
Externí odkaz:
https://doaj.org/article/611e783c82de4aa0b36d87f7e7cc097f
Autor:
Mozart Sávio Pires Baptista, Vivian Almeida Assunção, Marcelo Leandro Bueno, José Carlos Casagrande, Ângela Lúcia Bagnatori Sartori
Publikováno v:
Acta Botânica Brasílica, Vol 34, Iss 3, Pp 559-569 (2020)
ABSTRACT The distributions of species of Fabaceae are strongly related to the soil. Their presence can alter restrictive conditions and favour the establishment of other species. However, it is still not known how the relationship between species of
Externí odkaz:
https://doaj.org/article/4549efa2eae242309b194d3ca3bbe071
Publikováno v:
Эндодонтия Today, Vol 13, Iss 3, Pp 46-49 (2020)
Age and individual features of the structure of the mouth floor muscles were revealed on the basis of the data obtained with the use of computed and magnetic resonance tomography. Obtained results were compared with the characteristics of the bone st
Externí odkaz:
https://doaj.org/article/68e40953c1364e4bad13311d5aa40169
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S2, Pp 1-15 (2020)
Abstract Background In the field of protein engineering and biotechnology, the discovery and characterization of structural patterns is highly relevant as these patterns can give fundamental insights into protein-ligand interaction and protein functi
Externí odkaz:
https://doaj.org/article/c70fe2aae6634c219a8072ba4b01ebb7
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