First and second sharp constants in Riemannian Gagliardo–Nirenberg inequalities
Abstract Let (M,g)$(M,g)$ be a smooth compact Riemannian manifold of dimension n≥2$n\ge 2$, 1+1 more source
Fractional-order computational modeling of pediculosis disease dynamics with predictor-corrector approach. [PDF]
Iqbal N +5 more
europepmc +1 more source
Generalized quasi‐geostrophic equation in critical Lorentz–Besov spaces, based on maximal regularity
Abstract We consider the quasi‐geostrophic equation with its principal part (−Δ)α${(-\mathrm{\Delta})^{\alpha}}$ for α>1/2$\alpha >1/2$ in Rn$\mathbb {R}^n$ with n≥2$n \ge 2$. We show that for every initial data θ0∈Ḃr,q1−2α+nr$\theta _0 \in \dot{B}^{1-2\alpha + \frac{n}{r}}_{r, q}$ with 1
Hideo Kozono +2 more
wiley +1 more source
Utilizing fractional-order operator to Alzheimer's disease dynamics. [PDF]
Nisar KS, Farman M.
europepmc +1 more source
Staying Offline or Going Online? Managing the Establishment of Service Platforms
ABSTRACT We study a global game in which consumers and sellers decide whether to join a service platform and interact more efficiently online. Uncertainties about the platform's technology value and users' participation behavior on both market sides cause a coordination problem.
Marit Holler +2 more
wiley +1 more source
Fractional order modeling of prostate cancer with pulsed treatment and the impact of effector cell killing and cell competition. [PDF]
Saber H +5 more
europepmc +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
Stability and chaos analysis of neurological disorder of complex network with fractional order comparative study. [PDF]
Farman M +4 more
europepmc +1 more source
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Applying fractional calculus to malware spread: A fractal-based approach to threat analysis. [PDF]
Razi N +5 more
europepmc +1 more source

