Results 11 to 20 of about 474 (134)

Mathematical modeling and analysis for the co-infection of COVID-19 and tuberculosis

open access: yesHeliyon, 2022
We developed a TB-COVID-19 co-infection epidemic model using a non-linear dynamical system by subdividing the human population into seven compartments. The biological well-posedness of the formulated mathematical model was studied via proving properties ...
Kassahun Getnet Mekonen   +1 more
doaj   +1 more source

Study of an SIQR model with optimal control techniques: A mathematical approach

open access: yesResults in Control and Optimization, 2023
In this article, a SIQR deterministic model with a non-linear incidence function for an infectious disease is formulated and analyzed. The well-posedness of the model is ensured with the help of the non-negativity and boundedness of the solution of the ...
Sudha Yadav   +2 more
doaj   +1 more source

Global sensitivity analysis of catheter-associated urinary tract infection models using the eFAST method

open access: yesResults in Control and Optimization
Catheter-associated urinary tract infection (CAUTI) is one of the most common healthcare-associated infections, posing a significant challenge in clinical settings.
Innocent P. John   +2 more
doaj   +1 more source

Hepatitis B virus spreading via Beddington–DeAngelis incidence function and feed-forward neural network with optimal control

open access: yesJournal of Biological Dynamics
Using an appropriate mathematical model, this study aims to examine the transmission dynamics and optimal control of hepatitis B virus spreading, employing the Beddington–DeAngelis incidence function, a hybrid method of 4th order Runge–Kutta method (RK4)
Tahir Khan   +5 more
doaj   +1 more source

Deep‐Learning‐Driven High‐Fidelity In Vivo Hyperspectral Fluorescence Imaging Under Extreme Photon‐Limited Conditions

open access: yesAdvanced Science, EarlyView.
Highly overlapping fluorescent signals become distinguishable in photon‐limited living organisms via advanced imaging with intelligent reconstruction. The resulting in vivo hyperspectral imaging capability reveals nanoplastic uptake and circulation in live zebrafish, providing a new approach for studying complex biological and environmental processes ...
Renjian Li   +11 more
wiley   +1 more source

Dictionary‐based weak‐form training for noise‐robust series hybrid models with multiplicative unknowns

open access: yesAIChE Journal, EarlyView.
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho   +4 more
wiley   +1 more source

Memory-driven bifurcation analysis of a multi-order fractional biological system with coupled genetic-epigenetic regulation

open access: yesBoundary Value Problems
This study develops a fractional-order biological model incorporating genetic and epigenetic regulation to investigate the dynamics of cellular stress responses.
Randhir Singh Baghel   +2 more
doaj   +1 more source

Transcritical bifurcation in a new fractional influenza-type model with dual general incidences

open access: yesScientific African
We study a fractional influenza-type epidemic model with Caputo derivative of order ϑ∈(0,1], dual incidence kernels acting on susceptible and vaccinated individuals, vaccination with imperfect protection, waning immunity, isolation, and symptomatic ...
Yassine Sabbar, Kottakkaran Sooppy Nisar
doaj   +1 more source

Qualitative and sensitivity analysis on simple epidemic model (SIR-MODEL): ensuring well-posedness and stability

open access: yesJournal of Statistical Sciences and Computational Intelligence
This study investigates the dynamics of infectious disease transmission using an SIR (Susceptible-Infected-Recovered) model. We examine the model’s positivity, equilibrium points, basic reproduction number using the next generation matrix method, and sensitivity to key parameters using the sensitivity index method.
Auwal Lawan   +4 more
openaire   +1 more source

Intrinsically Design‐Rule‐Compliant Nanophotonic Inverse Design via Learned Generative Manifolds

open access: yesLaser &Photonics Reviews, EarlyView.
A generative reparameterization framework for nanophotonic inverse design is introduced, restricting optimization to a learned manifold of design‐rule‐compliant geometries. Unlike conventional penalty‐based approaches, fabrication constraints are encoded intrinsically within the design representation.
Bahrem Serhat Danis   +8 more
wiley   +1 more source

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