Results 101 to 110 of about 5,954 (211)
Solvability of invariant systems of differential equations on H2$\mathbb {H}^2$ and beyond
Abstract We show how the Fourier transform for distributional sections of vector bundles over symmetric spaces of non‐compact type G/K$G/K$ can be used for questions of solvability of systems of invariant differential equations in analogy to Hörmander's proof of the Ehrenpreis–Malgrange theorem.
Martin Olbrich, Guendalina Palmirotta
wiley +1 more source
Mean-field and Fluctuations for Hub Dynamics in Heterogeneous Random Networks. [PDF]
Bian Z, Lamb JSW, Pereira T.
europepmc +1 more source
Periodic Lorentz gas with small scatterers. [PDF]
Bálint P, Bruin H, Terhesiu D.
europepmc +1 more source
Functional Central Limit Theorems for Random Walks Conditioned to Stay Positive
D. Iglehart
semanticscholar +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
Global Solutions of the One-Dimensional Compressible Euler Equations with Nonlocal Interactions via the Inviscid Limit. [PDF]
Carrillo JA +3 more
europepmc +1 more source
THE FUNCTIONAL CENTRAL LIMIT THEOREM AND WEAK CONVERGENCE TO STOCHASTIC INTEGRALS I
R. Jong, J. Davidson
semanticscholar +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
The piranha problem: Large effects swimming in a small pond. [PDF]
Tosh C +5 more
europepmc +1 more source
Central limit theorems for stochastic processes under random entropy conditions
K. S. Alexander
semanticscholar +1 more source

