Scalable Task Deployment System Inspired from Virus Propagation Models for Large Distributed Workflow Based Systems

2018 ◽  
Author(s):  
Mihai Bica ◽  
Dorian Gorgan
Keyword(s):  
Virus Propagation ◽  
Propagation Models ◽  
Distributed Workflow

Combination methods for identifying influential nodes in networks

2015 ◽  
Vol 26 (06) ◽  
pp. 1550067 ◽  
Author(s):  
Chao Gao ◽  
Lu Zhong ◽  
Xianghua Li ◽  
Zili Zhang ◽  
Ning Shi
Keyword(s):  
Recommendation System ◽  
Ranking Methods ◽  
Virus Propagation ◽  
Propagation Models ◽  
Scale Free ◽  
Combination Methods ◽  
Scale Free Networks ◽  
Theoretical Significance ◽  
Different Types ◽  
Influential Nodes

Identifying influential nodes is of theoretical significance in many domains. Although lots of methods have been proposed to solve this problem, their evaluations are under single-source attack in scale-free networks. Meanwhile, some researches have speculated that the combinations of some methods may achieve more optimal results. In order to evaluate this speculation and design a universal strategy suitable for different types of networks under the consideration of multi-source attacks, this paper proposes an attribute fusion method with two independent strategies to reveal the correlation of existing ranking methods and indicators. One is based on feature union (FU) and the other is based on feature ranking (FR). Two different propagation models in the fields of recommendation system and network immunization are used to simulate the efficiency of our proposed method. Experimental results show that our method can enlarge information spreading and restrain virus propagation in the application of recommendation system and network immunization in different types of networks under the condition of multi-source attacks.

Analysis and Simulation Computer Virus Propagation Models in the Network Environment

2011 ◽  
Vol 204-210 ◽  
pp. 433-436
Author(s):  
Juan Zhou ◽  
Xiang Hu Chen
Keyword(s):  
Scientific Basis ◽  
Computer Virus ◽  
Propagation Model ◽  
Network Environment ◽  
Single Model ◽  
Virus Propagation ◽  
Simulation Experiments ◽  
Propagation Models ◽  
Multiple Characteristics ◽  
Model Equations

A single model can hardly describe all viruses because computer viruses replicate in a variety of ways. Therefore, this paper proposes a model, which is based on multiple characteristics of the virus. Traditional models cannot effectively reflect the characteristics and process of computer virus propagation. This paper presents a new virus propagation model to describe the spread of viruses in the network environment. By solving the model equations, running data analyses, and conducting simulation experiments, this study collected the actual statistical data and compared them with the experimental data. The result indicates that the model can effectively reflect the characteristics of the spread of the virus. Therefore, this model provides a scientific basis for the computer virus prevention.

scholarly journals IKKε isoform switching governs the immune response against EV71 infection

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Ya-Ling Chang ◽  
Yu-Wen Liao ◽  
Min-Hsuan Chen ◽  
Sui-Yuan Chang ◽  
Yao-Ting Huang ◽  
...  
Keyword(s):  
Host Cells ◽  
Ev71 Infection ◽  
Virus Propagation ◽  
Host Interactions ◽  
Reciprocal Interactions ◽  
Isoform Switching ◽  
Gene Regulatory ◽  
Potential Strategy ◽  
Antiviral Innate Immunity ◽  
Interferon Responses

AbstractThe reciprocal interactions between pathogens and hosts are complicated and profound. A comprehensive understanding of these interactions is essential for developing effective therapies against infectious diseases. Interferon responses induced upon virus infection are critical for establishing host antiviral innate immunity. Here, we provide a molecular mechanism wherein isoform switching of the host IKKε gene, an interferon-associated molecule, leads to alterations in IFN production during EV71 infection. We found that IKKε isoform 2 (IKKε v2) is upregulated while IKKε v1 is downregulated in EV71 infection. IKKε v2 interacts with IRF7 and promotes IRF7 activation through phosphorylation and translocation of IRF7 in the presence of ubiquitin, by which the expression of IFNβ and ISGs is elicited and virus propagation is attenuated. We also identified that IKKε v2 is activated via K63-linked ubiquitination. Our results suggest that host cells induce IKKε isoform switching and result in IFN production against EV71 infection. This finding highlights a gene regulatory mechanism in pathogen-host interactions and provides a potential strategy for establishing host first-line defense against pathogens.

scholarly journals Propagation Models in Vehicular Communications

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Fidel Alejandro Rodriguez-Corbo ◽  
Leyre Azpilicueta ◽  
Mikel Celaya-Echarri ◽  
Ana Vazquez Alejos ◽  
Francisco Falcone
Keyword(s):  
Vehicular Communications ◽  
Propagation Models

Adenosylhomocysteinase like 1 interacts with nonstructural 5A and regulates hepatitis C virus propagation

2020 ◽  
Vol 59 (1) ◽  
pp. 101-109
Author(s):  
Yun-Sook Lim ◽  
Han N. Mai ◽  
Lap P. Nguyen ◽  
Sang Min Kang ◽  
Dongseob Tark ◽  
...  
Keyword(s):  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Virus Propagation

scholarly journals Dysregulation of lipid metabolism and pathological inflammation in patients with COVID-19

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Marianna Caterino ◽  
Monica Gelzo ◽  
Stefano Sol ◽  
Roberta Fedele ◽  
Anna Annunziata ◽  
...  
Keyword(s):  
Virus Entry ◽  
Critical Role ◽  
Membrane Vesicles ◽  
Virus Propagation ◽  
Lipidomic Analysis ◽  
Key Factor ◽  
Patient Profiles ◽  
Cellular Pathways ◽  
Severity Degree

AbstractIn recent months, Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread throughout the world. COVID-19 patients show mild, moderate or severe symptoms with the latter ones requiring access to specialized intensive care. SARS-CoV-2 infections, pathogenesis and progression have not been clearly elucidated yet, thus forcing the development of many complementary approaches to identify candidate cellular pathways involved in disease progression. Host lipids play a critical role in the virus life, being the double-membrane vesicles a key factor in coronavirus replication. Moreover, lipid biogenesis pathways affect receptor-mediated virus entry at the endosomal cell surface and modulate virus propagation. In this study, targeted lipidomic analysis coupled with proinflammatory cytokines and alarmins measurement were carried out in serum of COVID-19 patients characterized by different severity degree. Serum IL-26, a cytokine involved in IL-17 pathway, TSLP and adiponectin were measured and correlated to lipid COVID-19 patient profiles. These results could be important for the classification of the COVID-19 disease and the identification of therapeutic targets.

Sign in / Sign up

Export Citation Format

Share Document