Results 161 to 170 of about 24,814 (240)
Embedding problems and Ramsey-Turán variations in extremal graph theory
Maryam Sharifzadeh
openalex +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
High-Fugacity Expansion and Crystallization in Non-sliding Hard-Core Lattice Particle Models Without a Tiling Constraint. [PDF]
He Q, Jauslin I.
europepmc +1 more source
Hybrid Reaction–Diffusion Epidemic Models: Dynamics and Emergence of Oscillations
ABSTRACT In this paper, we construct a hybrid epidemic mathematical model based on a reaction–diffusion system of the SIR (susceptible‐infected‐recovered) type. This model integrates the impact of random factors on the transmission rate of infectious diseases, represented by a probabilistic process acting at discrete time steps.
Asmae Tajani +2 more
wiley +1 more source
ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee +3 more
wiley +1 more source
Homophily modulates double descent generalization in graph convolution networks. [PDF]
Shi C, Pan L, Hu H, Dokmanić I.
europepmc +1 more source
ABSTRACT The analysis of certain properties of the underlying graph of a public transport network generates insights about the network's structure. Hereby, the choice of the graph representation depends on a trade‐off between complexity reduction and information preservation to adequately model a public transport network.
Michael Palk +2 more
wiley +1 more source
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid +2 more
wiley +1 more source
From flux analysis to self contained cellular models. [PDF]
Kremling A.
europepmc +1 more source
ABSTRACT Policy robustness, that is, the capacity of policies to sustain performance across diverse and uncertain futures, is increasingly considered a core objective of public policymaking. Although adaptive policymaking is widely promoted as an approach to achieving policy robustness, it suffers from a central paradox highlighted by theories of the ...
Ola G. El‐Taliawi, Nihit Goyal
wiley +1 more source

