Zobrazeno 1 - 10
of 959
pro vyhledávání: '"Bipartite Network"'
Publikováno v:
Data Science and Engineering, Vol 9, Iss 3, Pp 278-293 (2024)
Abstract Social recommendation often incorporates trusted social links with user-item interactions to enhance rating prediction. Although methods that aggregate explicit social links have shown promising prospects, they are often constrained by the a
Externí odkaz:
https://doaj.org/article/fdc2696a2bcd4b1bbd54d3cced5d07fa
Autor:
Sandeep Kumar Mohapatra, Anshuman Swain, Dipanjan Ray, Rajesh Kumar Behera, Basudev Tripathy, Jaya Kishor Seth, Anil Mohapatra
Publikováno v:
Ecology and Evolution, Vol 14, Iss 9, Pp n/a-n/a (2024)
Abstract Due to their large size and obligate nature, Cymothoid isopods inflict a high degree of tissue damage to fish. Still, they are understudied at an ecosystem level despite their global presence and ecological role. In this work, we collected f
Externí odkaz:
https://doaj.org/article/0853412d31ff45e8b4b37a7dba332687
Autor:
Maria Jakubik
Publikováno v:
Trends in Higher Education, Vol 3, Iss 2, Pp 199-220 (2024)
This paper explores: How has wisdom pedagogy research emerged in higher education during 1980–2022? This study is the first to explore the emergence of wisdom pedagogy research in higher education applying Bipartite network analysis for detecting c
Externí odkaz:
https://doaj.org/article/c93d63e9488b4bba84237efcdec2790d
Autor:
Xuetong Zhang, Yuran Dong, Yuying Li, Xiuping Wu, Siyu Chen, Mingyuan Wang, Yao Li, Zhiwei Ge, Min Zhang, Lingfeng Mao
Publikováno v:
Ecology and Evolution, Vol 14, Iss 7, Pp n/a-n/a (2024)
Abstract Wood‐decay macrofungi play a vital role in forest ecosystems by promoting nutrient cycling and soil structure, and their evolution is closely related to their host plants. This study investigates the potential evolutionary adaptation of wo
Externí odkaz:
https://doaj.org/article/6dd13ee07e9d482d8991d0352b43036e
Publikováno v:
Frontiers in Bioinformatics, Vol 4 (2024)
Cancer is a heterogeneous disease that results from genetic alteration of cell cycle and proliferation controls. Identifying mutations that drive cancer, understanding cancer type specificities, and delineating how driver mutations interact with each
Externí odkaz:
https://doaj.org/article/f60a5687c15440969c56990d58ce9887
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/383750552099406d9b394d76b4494998
Publikováno v:
IEEE Access, Vol 12, Pp 66296-66318 (2024)
The Entropy-based Categorical Exploratory Data Analysis (CEDA) paradigm is elaborately refined to algorithmically explore the intricate high-order directional associative relational patterns within the heterogeneous chronical disease dynamics capture
Externí odkaz:
https://doaj.org/article/2daaf64d53834c1c8dc44dff9cb61fac
Autor:
Hong-Peng Lei, Ivan Jakovlić, Shun Zhou, Xiang Liu, Chuan Yan, Xiao Jin, Bo Wang, Wen-Xiang Li, Gui-Tang Wang, Dong Zhang
Publikováno v:
Parasites & Vectors, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract Background Gyrodactylus is a lineage of monogenean flatworm ectoparasites exhibiting many features that make them a suitable model to study the host-parasite coevolutionary dynamics. Previous coevolutionary studies of this lineage mainly rel
Externí odkaz:
https://doaj.org/article/58100c315e3943209f3b4b743556b74e
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
A network, whose nodes are genes and whose directed edges represent positive or negative influences of a regulatory gene and its targets, is often used as a representation of causality. To infer a network, researchers often develop a machine learning
Externí odkaz:
https://doaj.org/article/a8f8250e63a84b3fb9aca64f164d09fa
Publikováno v:
Systems, Vol 12, Iss 9, p 321 (2024)
Innovative Industrial Clusters (IIC), characterized by geographical aggregation and technological collaboration among technology enterprises and institutions, serve as pivotal drivers of regional economic competitiveness and technological advancement
Externí odkaz:
https://doaj.org/article/88771a23be654b66b9fa3f41dc9e15d5