Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yijun Ran"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Dual-parameter pressure-temperature sensors are widely employed in personal health monitoring and robots to detect external signals. Herein, we develop a flexible composite dual-parameter pressure-temperature sensor based on three-dimensiona
Externí odkaz:
https://doaj.org/article/447df3f5f8394cec8e8ede2f563e7fc5
Publikováno v:
Mathematics, Vol 10, Iss 11, p 1906 (2022)
In the real world, pathogens do not exist in isolation. The transmission of one pathogen may be affected by the presence of other pathogens, and certain pathogens generate multiple strains with different spreading features. Hence, the behavior of mul
Externí odkaz:
https://doaj.org/article/456eb9a91d804d9cb6a108453c0e6927
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e90760d7f3fd4ed4237656849ad0951a
https://doi.org/10.1109/tcss.2022.3144247
https://doi.org/10.1109/tcss.2022.3144247
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3789b8e10839f99494d287e5f3ccaf7d
https://doi.org/10.2139/ssrn.4025009
https://doi.org/10.2139/ssrn.4025009
Network information mining is the study of the network topology, which answers a large number of application-based questions towards the structural evolution and the function of a real system. For example, the questions can be related to how the real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c6bfd2fdbc773bc853464df120745fc
http://arxiv.org/abs/2110.05008
http://arxiv.org/abs/2110.05008
One important task in the study of information cascade is to predict the future recipients of a message given its past spreading trajectory. While the network structure serves as the backbone of the spreading, an accurate prediction can hardly be mad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::703b416ea8d71d4a1b246b5912a84886
Publikováno v:
Chaos (Woodbury, N.Y.). 30(8)
Many spreading processes in our real-life can be considered as a complex contagion, and the linear threshold (LT) model is often applied as a very representative model for this mechanism. Despite its intensive usage, the LT model suffers several limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b17a533a826cce1155d6c3dd0406a11
https://pubmed.ncbi.nlm.nih.gov/32872812
https://pubmed.ncbi.nlm.nih.gov/32872812
Publikováno v:
Chaos (Woodbury, N.Y.). 30(1)
The co-occurrence association is widely observed in many empirical data. Mining the information in co-occurrence data is essential for advancing our understanding of systems such as social networks, ecosystem, and brain network. Measuring similarity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de63d4e4daea7f43d3e88ca921d9bc5c
https://pubmed.ncbi.nlm.nih.gov/32013468
https://pubmed.ncbi.nlm.nih.gov/32013468
Publikováno v:
Journal of Physics: Complexity. 3:015006
Most real-world systems evolve over time in which entities and the interactions between entities are added and removed—new entities or relationships appear and old entities or relationships vanish. While most network evolutionary models can provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30ea2fa1c984c3d8bd2a8aa2031eb2f3
https://doi.org/10.1088/2632-072x/ac4bee
https://doi.org/10.1088/2632-072x/ac4bee
Publikováno v:
Biomaterials. 219
While theranostic nanoparticle (TNP)-based photothermal therapy (PTT) exhibits prominent promise for cancer therapy, metastatic cancers remain one of the main obstacles of effective PTT. Immunotherapy has been developed vigorously to inhibit metastat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::956e761509d0c16215d204a0a985e266
https://pubmed.ncbi.nlm.nih.gov/31357006
https://pubmed.ncbi.nlm.nih.gov/31357006