A5021689695- Nutritional Studies and Diet
- Mathematical and Theoretical Epidemiology and Ecology Models
- Immune Cell Function and Interaction
- Mathematical Biology Tumor Growth
- T-cell and Retrovirus Studies
- HIV Research and Treatment
- Long-Term Effects of COVID-19
- stochastic dynamics and bifurcation
- Nonlinear Dynamics and Pattern Formation
- COVID-19 and Mental Health
- Neural dynamics and brain function
- COVID-19 epidemiological studies
- Air Quality and Health Impacts
- CAR-T cell therapy research
- Advanced Proteomics Techniques and Applications
- Evolution and Genetic Dynamics
- Virus-based gene therapy research
- SARS-CoV-2 and COVID-19 Research
- Viral Infectious Diseases and Gene Expression in Insects
- Artificial Intelligence in Healthcare
- Fractional Differential Equations Solutions
- Advancements in Semiconductor Devices and Circuit Design
- Metabolism, Diabetes, and Cancer
- Hepatitis C virus research
- Prostate Cancer Diagnosis and Treatment
University of Tübingen
2019-2025
Mashhad University of Medical Sciences
2018-2024
Institute for Research in Fundamental Sciences
2018-2020
Ferdowsi University of Mashhad
2016-2020
Ghaem Hospital
2020
Center for Advanced Systems Understanding
2020
Bilkent University
2019
Santa Fe Institute
2019
Max Planck Institute for Mathematics in the Sciences
2019
Friedrich-Alexander-Universität Erlangen-Nürnberg
2019
The Omicron (B.1.1.529) variant of SARS-CoV-2 emerged in November 2021 and has since evolved into multiple lineages. Understanding its transmission, vaccine efficacy, potential for reinfection is crucial. This study examines the dynamics Germany, France, Italy by employing Physics-Informed Neural Networks to estimate temporal parameters influencing spread. We validated performance our model using Root Mean Squared Percent Error (RMSPE). Our analysis revealed significant correlations between...
Post-COVID-19 condition refers to persistent or new onset symptoms occurring three months after acute COVID-19, which are unrelated alternative diagnoses. Symptoms include fatigue, breathlessness, palpitations, pain, concentration difficulties ("brain fog"), sleep disorders, and anxiety/depression. The prevalence of post-COVID-19 ranges widely across studies, affecting 10-20% patients reaching 50-60% in certain cohorts, while the associated risk factors remain poorly understood.This...
Abstract Gas stations distributed around densely populated areas are responsible for toxic pollutant emissions such as volatile organic compounds (VOCs). This study aims to measure VOCs emission from three different kinds of gas determine the extent pollution and most frequent type VOC compound emitted. The concentrations ambient at refueling with a fuels in Mashhad were monitored. result this showed that CNG fuel less polluting than petrol stations. In all studied sites, highest related...
We consider the standard neural field equation with an exponential temporal kernel. analyze time-independent (static) and time-dependent (dynamic) bifurcations of equilibrium solution emerging spatiotemporal wave patterns. show that kernel does not allow static such as saddle-node, pitchfork, in particular, Turing bifurcations. However, possesses important property it takes into account finite memory past activities neurons, which Green's function not. Through a dynamic bifurcation analysis,...
Summary In this paper, we consider a four‐dimensional version of human immunodeficiency virus (HIV) infection model, which is an extension some previous three‐dimensional models. We approach the treatment problem by adding two controls u 1 and 2 to system for inhibiting viral production preventing new infections. fact, added components uninfected infected cells represent effect chemotherapy on interaction CD4 + T with cells. considered in effector immune component as immunotherapy. The...
In this paper, the dynamic behavior of an immunosuppressive infection model, speci_cally AIDS, is analyzed. We show through a simple mathematical model that sigmoidal CTL response can lead to occurrence transcritical bifurcation. This condition usually occurs in immunode_ciency virus infections (such as AIDS infection) which viruses attack immune cells CD4+T. Our results imply interactions between and HIV are very complex response, dynamics exist stable regions unstable regions. At end...
We investigated the impact of school reopening on SARS-CoV-2 transmission in Italy, Germany, and Portugal autumn 2022 when Omicron variant was prevalent.A prospective international study conducted using case reproduction number (Rc) calculated with time parametrization Omicron. For Germany staggered difference-in-differences analysis employed to explore causal relationship between Rc changes, accounting for varying dates. In Portugal, interrupted series used due simultaneous reopenings....
Developing accurate mathematical models for host immune response in immunosuppressive diseases such as HIV and HTLV-1 are essential to achieve an optimal drug therapy regime. Since specific CTL typically occurs after a time lag, we consider discontinuous function better describe this lagged during the early stage of infectious, thus system model will be system. For analyzing dynamic use Filippov theory find conditions which undergoes Hopf bifurcation. The bifurcation help us stable unstable...
In this paper, a mathematical model of fighting against cancer tumor growth by combination oncolytic virotherapy and chemotherapy is introduced. model, we considered two time delays ?1 ?2. The delay shows the lag transmission infection from virus to cells. A lot kind cancers, symptoms are diagnosed at late stage as consequence approach start with lag. Thus, take into account presenting ?2 in control variable. Therefore, study, parameters used for both state variables. Pontryagin minimum...
In this study, the screening power of a AutoDock Vina scoring function was considered as an optimisation problem. It hypothesised that can be optimised by black-box optimiser. The weights energy terms were input parameters for This implemented in Python. study designed to develop target-specific six protein targets using active/decoy datasets retrieved from database useful (docking) decoys (DUD-E). results demonstrated some improvements area under curve (AUC) ROC and enrichment factor both...
In this paper, we present a discontinuous cytotoxic T cells (CTLs) response for HTLV-1. Moreover, delay parameter the activation of CTLs is considered. fact, system differential equation with right-hand side defined For analyzing dynamical behavior system, graphical Hopf bifurcation used. general, theory will help to obtain periodic solutions as varies. Therefore, by applying frequency domain approach and associated characteristic equation, existence using immune determined. The stability...
Background: Coronary artery disease (CAD) is an important cause of mortality and morbidity globally. Objective : The early prediction the CAD would be valuable in identifying individuals at risk, focusing resources on its prevention. In this paper, we aimed to establish a diagnostic model predict by using three approaches ANN (pattern recognition-ANN, LVQ-ANN, competitive ANN). Methods: One promising method for based risk factors machine learning. Among different learning algorithms,...
In this study, the screening power of a AutoDock Vina scoring function was considered as an optimisation problem. It hypothesised that can be optimised by black-box optimiser. The weights energy terms were input parameters for This implemented in Python. study designed to develop target-specific six protein targets using active/decoy datasets retrieved from database useful (docking) decoys (DUD-E). results demonstrated some improvements area under curve (AUC) ROC and enrichment factor both...
We consider the standard neural field equation with an exponential temporal kernel. analyze time-independent (static) and time-dependent (dynamic) bifurcations of equilibrium solution emerging spatiotemporal wave patterns. show that kernel does not allow static such as saddle-node, pitchfork, in particular, Turing bifurcations. However, possesses important property it takes into account finite memory past activities neurons, which Green's function not. Through a dynamic bifurcation analysis,...
Abstract Backgrounds and aims: Coronary artery disease (CAD) is the major cause of mortality morbidity globally. Diet known to contribute CAD risk, dietary intake specific macro- or micro-nutrients might be potential predictors risk. Machine learning methods may helpful in analysis contribution several parameters including Here we aimed determine most important factors for predicting CAD. Methods: Total 273 cases with more than 50% obstruction at least one coronary 443 healthy controls who...
Abstract Backgrounds and aims: Coronary artery disease (CAD) is the major cause of mortality morbidity globally. Diet known to contribute CAD risk, dietary intake specific macro- or micro-nutrients might be potential predictors risk. Machine learning methods may helpful in analysis contribution several parameters including Here we aimed determine most important factors for predicting CAD. Methods: Total 273 cases with more than 50% obstruction at least one coronary 443 healthy controls who...
Abstract Backgrounds: Coronary artery disease (CAD) is the major cause of mortality and morbidity globally. Diet known to contribute CAD risk, dietary intake specific macro- or micro-nutrients might be potential predictors risk. Machine learning methods may helpful in analysis contribution several parameters including Here we aimed determine most important factors for predicting CAD. Methods: A total 273 cases with more than 50% obstruction at least one coronary 443 healthy controls who...