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Computational and Mathematical Biophysics
Scopus
ISSN 2544-7297 · De Gruyter · 156 artikel di indeks
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Artikel Jurnal
A computational model for three-phase fluid-structure interaction and its application to cellulose microfibril dynamics
Three-phase fluid-structure interaction (FSI) problems couple the motion of solid structures and two different fluids, often exhibiting complex dynamics and posing challenges for computational investigation. The main objective of this paper is to present a new computational framework for the…
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Artikel Jurnal
A muscle crossbridge theory with internal crossbridge dynamics
We develop a crossbridge model in which an attached crossbridge behaves like a linear spring with a variable rest length. We assume in particular that the rest length has a linear force–velocity relation, and that the force and rest length are both zero at the moment of crossbridge attachment…
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Artikel Jurnal
Dynamic graph-theoretical optimization of aspirin synthesis with adaptive catalytic pathways for superior green chemistry performance
Aspirin remains one of the world’s most widely produced pharmaceuticals, yet its conventional manufacturing pathway suffers from rigid process conditions, high energy use, and substantial waste. This study introduces an adaptive dynamic graph-theoretical optimization framework designed to transform…
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Stenosis effects on Jeffrey fluid flow in two-layer microcirculatory models: a physicochemical and hemorheological analysis
Blood is a multifaceted colloidal suspension of plasma as an aqueous electrolyte-protein fluid and cellular components, mainly red blood cells, the rheology of which is influenced by mutually reinforcing hydrodynamic and chemical interactions, such as protein-mediated aggregation, plasma…
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Artikel Jurnal
A comparative study among analytical model and numerical model for studying transdermal drug delivery dynamics
This study focusses on one-dimensional (1D) modeling of transient transdermal drug delivery across the epidermis via stratum corneum. In order to mimic in this manuscript how drugs pass through the skin, Fick’s second law has been incorporated as a flow governing equation in microneedles and is…
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Artikel Jurnal
An algebraic graph neural network model for protein-ligand binding affinity prediction
Predicting protein-ligand binding affinity is a fundamental challenge in drug discovery. Recent advances in deep learning have led to the development of numerous models, many of which rely on three-dimensional protein-ligand complex structures and focus primarily on affinity prediction. In this…
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New parameters estimation in an ordinary differential equation model for the multistep transformation of cancer cells using particle swarm optimization
The research on cancer cells has proposed many hypotheses as a basic conceptual framework for understanding how normal cells transform into cancer cells. Cancer cells are assumed to undergo a multilevel mutation process from normal cells to cancer cells. A kinetics model of the multistep…
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Statistical, machine learning, and deep learning models for COVID-19 forecasting in Kenya
This study aims to enhance coronavirus disease 2019 forecasting in Kenya by comparing the predictive performance of statistical, machine learning, and deep learning (DL) models for total cases, critical cases, severe cases, and total deaths, using data from April 2020 to August 2021. Six models –…
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Adding mechanistic depth to understanding permeability switching transients in a biological membrane and its implications to nerve conduction regulation
We have developed a quadratic control policy describing permeability switching transients in a biological membrane and the mechanisms which govern nerve conduction regulation. The basis of our control policy is discussed in the context of solutions of the Hodgkin–Huxley equations of ionic…
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Artikel Jurnal
Graph-theoretical optimization of the aspirin synthesis pathway: Enhancing green chemistry in pharmaceutical manufacturing
Aspirin, one of the most widely produced and consumed pharmaceuticals globally, presents an ideal case for exploring sustainable synthesis methods in pharmaceutical manufacturing. The conventional synthesis of aspirin, though widely practiced, often suffers from inefficiencies, excessive waste…
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Artikel Jurnal
Analysis of a fractional-order prey-predator model with prey refuge and predator harvest using the consumption number: Holling type III functional response
In this article, we study a fractional-order prey-predator model incorporating prey refuge and predator harvesting, employing a Holling type III functional response. The model’s dynamics are explored using the consumption number C0{C}_{0}, providing a comprehensive understanding of its ecological…
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Study of transmission pattern of COVID-19 among cardiac and noncardiac population using a nonlinear mathematical model
Recent studies have intensified the risk of post-COVID-19 cardiovascular diseases. In an effort to understand the intricate dynamics of COVID-19 infection, this article suggests a four-compartment model to portray the dynamic interplay between the susceptible population, the COVID-19-infected…
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Existence and uniqueness of solution for a fractional hepatitis B model
Understanding the dynamics of infectious diseases using mathematical modeling is essential for developing prevention and control measures. Hepatitis B is still a major public health issue in many places, including Kenya, where the high incidence of illness presents serious difficulties. In this…
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Artikel Jurnal
Analysis of a fractional-order model for acute and chronic hepatitis-B transmission with Mittag-Leffler kernels
This study explores the dynamic characteristics of a fractional-order model for the hepatitis B virus (HBV) epidemic. We present the existence, uniqueness, and Ulam-Hyers stability of solutions for a fractional-order HBV model utilizing the Atangana-Baleanu-Caputo fractional operator with…
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Mathematical model on influence of past experiences on present activities of human brain
This article explores how emotional feelings linked to stored memories of past experiences influence the present activity of the human brain. To analyse this, a mathematical model is considered describing the dynamics in a two-layered network in which the neurons in the first layer are involved in…
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Tumor dynamics model with treatments by oncolytic virotherapy and MEK inhibitors involving TNF-α inhibitors: Stability analysis and optimal control
Oncolytic virotherapy is one of the cancer treatments that kills cancer cells but leaves normal cells. Furthermore, mitogen-activated protein kinase (MEK) inhibitors boost chimeric antigen receptor expression and increase oncolytic virus entry into tumor cells, and TNF-α{\rm{\alpha }} inhibitors…
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Artikel Jurnal
Simulation study on the impact of measurement errors in hierarchical Bayesian semi-parametric models
This study examines the impact of measurement errors on parameter estimates within hierarchical Bayesian semiparametric (HBS) models, with a focus on the Lotka–Volterra predator–prey model as a case study. By employing Gibbs sampling within the Markov Chain Monte Carlo framework, we simulate…
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Analysis of backward bifurcation induced by nonlinear vertical transmission in COVID-19 dynamics with optimal control
A mathematical model is designed to investigate transmission dynamics of COVID-19 in a setting where both horizontal and vertical transmission of COVID-19 occur concurrently. The model incorporated two nonlinear vertical transmission routes of COVID-19, namely transmission of the COVID-19 to the…
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Artikel Jurnal
Modeling of the switching effect on two prey and one predator with the presence of Allee effects and refuge
To examine the dynamics of a predator’s interaction with two prey species, this study develops a comprehensive mathematical model that accounts for ecological complexities, including the Allee effect, prey switching behavior, and prey refuge. The presence of multiple prey in the natural environment…
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Artikel Jurnal
Mathematical model of the impact of chemotherapy and antiangiogenic therapy on drug resistance in glioma growth
This study presents a mathematical model of glioma growth dynamics with drug resistance, capturing interactions among five cell populations – glial cells, sensitive and resistant glioma cells, endothelial cells, and neurons – alongside chemotherapy and antiangiogenic therapy. Glioma, a malignant…