Predicting the immune escape of SARS-CoV-2 neutralizing antibodies upon mutation
COVID-19 has resulted in millions of deaths and severe impact on economies worldwide.
Moreover, the emergence of SARS-CoV-2 variants presented significant challenges in …
Moreover, the emergence of SARS-CoV-2 variants presented significant challenges in …
A fractional SEIQR model on diphtheria disease
The purpose of this paper is to study a fractional mathematical model on diphtheria disease,
considering the parameters of natural immunity, treatment, and vaccination. This model …
considering the parameters of natural immunity, treatment, and vaccination. This model …
Understanding the mutational frequency in SARS-CoV-2 proteome using structural features
The prolonged transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-
CoV-2) virus in the human population has led to demographic divergence and the …
CoV-2) virus in the human population has led to demographic divergence and the …
A Fuzzy Fractional Order Approach to SIDARTHE Epidemic Model for COVID‐19
In this paper, a novel coronavirus SIDARTHE epidemic model system is constructed using a
Caputo‐type fuzzy fractional differential equation. Applying Caputo derivatives to our model …
Caputo‐type fuzzy fractional differential equation. Applying Caputo derivatives to our model …
Dynamics of COVID‐19 Using SEIQR Epidemic Model
N Avinash, G Britto Antony Xavier… - Journal of …, 2022 - Wiley Online Library
The major goal of this study is to create an optimal technique for managing COVID‐19
spread by transforming the SEIQR model into a dynamic (multistage) programming problem …
spread by transforming the SEIQR model into a dynamic (multistage) programming problem …
Identifying hidden target nodes for spreading in complex networks
H Yin, A Zhang, A Zeng - Chaos, Solitons & Fractals, 2023 - Elsevier
Using measurable data to realize targeted spreading of vital nodes in complex networks is
an important issue connecting to various real applications such as commercial advertising …
an important issue connecting to various real applications such as commercial advertising …
Dynamic decomposition of transcriptome responses during plant effector-triggered immunity revealed conserved responses in two distinct cell populations
Rapid plant immune responses in the appropriate cells are needed for effective defense
against pathogens. Although transcriptome analysis is often used to describe overall …
against pathogens. Although transcriptome analysis is often used to describe overall …
[PDF][PDF] Mathematical analysis of new SEIQR model via Laplace Adomian decomposition method
N Jeeva, KM Dharmalingam - Indian J. Nat. Sci, 2024 - researchgate.net
This study focuses on a novel mathematical model for the coronavirus, building upon the
SEIQR epidemiological framework while incorporating a unique compartment for isolation or …
SEIQR epidemiological framework while incorporating a unique compartment for isolation or …
Decomposition of dynamic transcriptomic responses during effector-triggered immunity reveals conserved responses in two distinct plant cell populations
Rapid plant immune responses in the appropriate cells are needed for effective defense
against pathogens. Although transcriptome analysis is often used to describe overall …
against pathogens. Although transcriptome analysis is often used to describe overall …
The kinetics and basal levels of the transcriptome response during Effector-Triggered Immunity in Arabidopsis are mainly controlled by four immune signaling sectors
To observe the transcriptome response during Effector-Triggered Immunity (ETI) without
complications from any other pathogen factors or heterogeneously responding cell …
complications from any other pathogen factors or heterogeneously responding cell …