Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Mario Ventresca"'
How individuals’ opinions influence society’s resistance to epidemics: an agent-based model approach
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Protecting public health from infectious diseases often relies on the cooperation of citizens, especially when self-care interventions are the only viable tools for disease mitigation. Accordingly, social aspects related to public
Externí odkaz:
https://doaj.org/article/5abc4790e3ca421db47e7521705d9786
Publikováno v:
Epidemics, Vol 44, Iss , Pp 100698- (2023)
Background:: There is an urgent need to develop a cytomegalovirus (CMV) vaccine as it remains the leading cause of birth defects in the United States. While several CMV vaccine candidates are currently in late-stage clinical trials, the most effectiv
Externí odkaz:
https://doaj.org/article/dbbdab25ea204195a6bf83a17938cbc2
Autor:
Enrico Amico, Kausar Abbas, Duy Anh Duong-Tran, Uttara Tipnis, Meenusree Rajapandian, Evgeny Chumin, Mario Ventresca, Jaroslaw Harezlak, Joaquín Goñi
Publikováno v:
Network Neuroscience, Vol 5, Iss 3, Pp 646-665 (2021)
AbstractModeling communication dynamics in the brain is a key challenge in network neuroscience. We present here a framework that combines two measurements for any system where different communication processes are taking place on top of a fixed stru
Externí odkaz:
https://doaj.org/article/27308c71b89c444aa120b80b532b42e9
Autor:
Duy Duong-Tran, Kausar Abbas, Enrico Amico, Bernat Corominas-Murtra, Mario Dzemidzic, David Kareken, Mario Ventresca, Joaquín Goñi
Publikováno v:
Network Neuroscience, Vol 5, Iss 3, Pp 666-688 (2021)
AbstractThe quantification of human brain functional (re)configurations across varying cognitive demands remains an unresolved topic. We propose that such functional configurations may be categorized into three different types: (a) network configural
Externí odkaz:
https://doaj.org/article/21f12496059f46c6b3596150d25f59b2
Publikováno v:
Network Neuroscience, Vol 4, Iss 3, Pp 698-713 (2020)
AbstractThe identifiability framework (𝕀f) has been shown to improve differential identifiability (reliability across-sessions and -sites, and differentiability across-subjects) of functional connectomes for a variety of fMRI tasks. But having a r
Externí odkaz:
https://doaj.org/article/40b3001af684417bb93b394cb23d5fce
Autor:
Saitel Agudelo, Mario Ventresca
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0270127 (2022)
Zika Virus (ZIKV) is a flavivirus that is transmitted predominantly by the Aedes species of mosquito, but also through sexual contact, blood transfusions, and congenitally from mother to child. Although approximately 80% of ZIKV infections are asympt
Externí odkaz:
https://doaj.org/article/2bfc45e4a9334a0eb9d5bb26a7191bcc
Publikováno v:
PLoS ONE, Vol 17, Iss 8, p e0272130 (2022)
Eastern Equine Encephalitis (EEE) is an arbovirus that, while it has been known to exist since the 1930's, recently had a spike in cases. This increased prevalence is particularly concerning due to the severity of the disease with 1 in 3 symptomatic
Externí odkaz:
https://doaj.org/article/8a4495ec58f746c083f1e292e5ed0686
Examining Supervised Machine Learning Methods for Integer Link Weight Prediction Using Node Metadata
Publikováno v:
Entropy, Vol 24, Iss 6, p 842 (2022)
With the goal of understanding if the information contained in node metadata can help in the task of link weight prediction, we investigate herein whether incorporating it as a similarity feature (referred to as metadata similarity) between end nodes
Externí odkaz:
https://doaj.org/article/421be9091a7147e587c8a5b1e6c9b002
Autor:
Viplove Arora, Mario Ventresca
Publikováno v:
Applied Network Science, Vol 3, Iss 1, Pp 1-20 (2018)
Abstract The ubiquity of supply chains along with their increasingly interconnected structure has ignited interest in studying supply chain networks through the lens of complex adaptive systems. A particularly important characteristic of supply chain
Externí odkaz:
https://doaj.org/article/f5d153e5d8a44c859ad614d795583c8f
Autor:
Viplove Arora, Mario Ventresca
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
Abstract Complex networks can model a wide range of complex systems in nature and society, and many algorithms (network generators) capable of synthesizing networks with few and very specific structural characteristics (degree distribution, average p
Externí odkaz:
https://doaj.org/article/86425f6da83949c0a009f32a56bab762