This paper addresses the impact of the structure of the viral propagation network on the viral prevalence. For that purpose, a new epidemic model of computer virus, known as the node-based SLBS model, is proposed. Our analysis shows that the maximum eigenvalue of the underlying network is a key factor determining the viral prevalence. Specifically, the value range of the maximum eigenvalue is partitioned into three subintervals: viruses tend to extinction very quickly or approach extinction or persist depending on into which subinterval the maximum eigenvalue of the propagation network falls. Consequently, computer virus can be contained by adjusting the propagation network so that its maximum eigenvalue falls into the desired subinterval.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4519130 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0134507 | PLOS |
Publication Analysis
Top Keywords
Similar Publications
Deep Learning-Based Spectrum Sensing for Cognitive Radio Applications.
Sensors (Basel)
December 2024
Electronics and Communication Department, Faculty of Engineering, Delta University for Science and Technology, Gamasa 35511, Egypt.
In order for cognitive radios to identify and take advantage of unused frequency bands, spectrum sensing is essential. Conventional techniques for spectrum sensing rely on extracting features from received signals at specific locations. However, convolutional neural networks (CNNs) and recurrent neural networks (RNNs) have recently demonstrated promise in improving the precision and efficacy of spectrum sensing.
View Article and Find Full Text PDFAngle stability improvement using optimised proportional integral derivative with filter controller.
Heliyon
October 2024
Department of Electrical Engineering, Faculty of Engineering & Technology, Bahauddin Zakariya University, Multan, 60800, Pakistan.
Load inconsistency has disrupted the power system, causing rotor angle fluctuation that leads to angle instability in the system. This research suggests an innovative proportional integral derivative with filter (PIDF)-based thyristor-controlled series compensator (TCSC) controller that utilise an evolutionary programming sine cosine algorithm (EPSCA) for hybrid optimisation to increase the angle stability of the power system. The challenge of the PIDF-TCSC design is transformed into an optimal control problem with respect to performance indices, such as the maximum imaginary part of system eigenvalues, damping ratio and damping factor, where another multi-objective function is utilised to determine the best stabiliser settings.
View Article and Find Full Text PDFComplete asymmetric polarization conversion at zero-eigenvalue exceptional points of non-Hermitian metasurfaces.
Nanophotonics
November 2024
Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 305-751, Republic of Korea.
Non-Hermitian systems can be tuned to exhibit exceptional points, where both eigenvalues and eigenstates coalesce concurrently. The inherent adaptability of photonic non-Hermitian systems in configuring gain and loss has allowed us to observe a plethora of counterintuitive phenomena, largely as a consequence of the eigenspace reduction at these exceptional points. In this work, we propose a non-Hermitian metasurface that, through the incorporation of gain, enables complete asymmetric polarization conversion at an exceptional point with a zero eigenvalue.
View Article and Find Full Text PDFDifferences between two maximal principal strain rate calculation schemes in traumatic brain analysis with in-vivo and in-silico datasets.
J Biomech
January 2025
Department of Bioengineering, Stanford University, CA, 94305, USA; Department of Neurology, Stanford University, Stanford, CA 94305, USA; Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.
Brain deformation caused by a head impact leads to traumatic brain injury (TBI). The maximum principal strain (MPS) was used to measure the extent of brain deformation and predict injury, and the recent evidence has indicated that incorporating the maximum principal strain rate (MPSR) and the product of MPS and MPSR, denoted as MPS × SR, enhances the accuracy of TBI prediction. However, ambiguities have arisen about the calculation of MPSR.
View Article and Find Full Text PDFMultivariate analysis for agronomic, physiological, macro, and micronutrient traits of exotic vegetable amaranth genotypes.
BMC Plant Biol
November 2024
Plant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box. 2460, Riyadh, 11451, Saudi Arabia.
Article Synopsis
- * Principal component analysis revealed that the first five principal components accounted for 84.59% of the diversity in these genotypes, with significant traits including moisture, carbohydrates, and various nutrients.
- * Hierarchical clustering categorized the genotypes into five distinct groups, indicating that the traits have potential implications for future breeding programs aimed at improving exotic vegetable amaranth.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!