Abstract In this paper we present a more realistic mathematical model for the transmission dynamics of malaria by extending classical SEIRS scheme and Hai-Feng Huo Guang-Ming Qiu [21] adding ignorant infected humans compartment. We analyze global asymptotically stabilities use basic reproduction number R_0 prove that when R_0≦1, disease-free equilibrium is globally stable. That dies out in popu...

شرایط افروزش و اشتعال سوخت‌های گداخت هسته‌ای در حضور ناخالص­‌ها، یکی از موارد مهمی است که طراحی قرص‌های سوخت باید مورد توجه قرار گیرد. این مقاله اثر ناخالصی هسته سنگین طلا بر کلیه فرایندهای احتراق پلاسمای غیرتعادلی دوتریم- تریتیم مدل چهار دمایی آن شکل تابع توزیع انرژی رفتار فوتون‌ها تأثیر می‌گذارد بررسی گرفته است. مطالعه شامل اثرات منفی سوخت، طول زمان تشکیل لکه داغ نتایج محاسبات عددی به­ دست آم...

In this work, we study the unpredictability of seasonal infectious diseases considering a SEIRS model with forcing. To investigate dynamical behaviour, compute bifurcation diagrams type hysteresis and their respective Lyapunov exponents. Our results from bifurcations largest exponent show bistable dynamics for all parameters model. Choosing inverse latent period as control parameter, over 70% i...

In this work, we apply a novel and accurate Physics-Informed Neural Network Theory of Functional Connections (PINN-TFC) based framework, called Extreme (X-TFC), for data-physics-driven parameters’ discovery problems modeled via Ordinary Differential Equations (ODEs). The proposed method merges the standard PINNs with functional interpolation technique named (TFC). particular, work focuses on ca...

We develop a multi-patch and multi-group model that captures the dynamics of an infectious disease when the host is structured into an arbitrary number of groups and interacts into an arbitrary number of patches where the infection takes place. In this framework, we model host mobility that depends on its epidemiological status, by a Lagrangian approach. This framework is applied to a general S...