Results 161 to 170 of about 5,421,281 (277)
A Nonlinear Cross-Diffusion Model for Disease Spread: Turing Instability and Pattern Formation
In this article, we propose a novel nonlinear cross-diffusion framework to model the distribution of susceptible and infected individuals within their habitat using a reduced SIR model that incorporates saturated incidence and treatment rates.
Ravi P. Gupta +2 more
doaj +1 more source
Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing +2 more
wiley +1 more source
Abstract Anadromous salmonids migrate seaward to exploit feeding and growth opportunities in marine habitats, yet how smolt biological characteristics influence their marine migratory behavior remains poorly understood. This study used 9 years of trout (Salmo trutta) population monitoring data from 15,595 tagged age‐0+ parr, 1033 smolts detected ...
Jonathan P. Gillson +11 more
wiley +1 more source
ABSTRACT Lactococcus garvieae, Lactococcus petauri and Lactococcus formosensis are etiological agents of piscine lactococcosis, a disease reported in Italy since the early 1990s and linked to significant aquaculture losses. To the best of our knowledge, this study reports the first detection of L. formosensis subsp. formosensis in farmed rainbow trout (
Silvia Colussi +12 more
wiley +1 more source
Turing instability and pattern formation on directed networks [PDF]
J. Ritchie
semanticscholar +1 more source
ABSTRACT This study presents the first description and characterisation of Lactococcus garvieae isolated from diseased European sea bass (Dicentrarchus labrax) farmed in Spain. During autumn 2023, two fish farms were affected by infectious outbreaks causing moderate cumulative fish mortality (5%–10%). Diseased fish showed clinical signs of haemorrhagic
Belén Fouz +6 more
wiley +1 more source
Abstract The digital revolution is transforming global business practices. As organizations increasingly embed artificial intelligence (AI) within their operations, they face unprecedented uncertainty regarding future technological trajectories and competitive landscapes.
Chi Hon Li +3 more
wiley +1 more source
Artificial Creativity and Human Fragility
Abstract This article critiques the widespread assumption that generative AI systems exhibit genuine artistic creativity. While such systems can produce novel and aesthetically appealing outputs, assessments based solely on results obscure fundamental differences between human and artificial agents.
Johanna Merz
wiley +1 more source
Abstract This essay, designed as a complement to opinions expressed by Rowan Williams and some speakers at the conference in his honour, explores features of early Christianity which suggest a positive evaluation of artificial intelligence. Noting that the fear of reducing humans to machines has been joined in the modern age by the fear that machines ...
Mark J. Edwards
wiley +1 more source
Automation and Augmentation in Theological Perspective
Abstract AI enables forms of automation that threaten unemployment and deskilling, eliminating important opportunities for the development of virtue. The concomitant loss of virtue and meaningful employment makes it a theological problem from the perspective of Catholic social teaching and theological anthropology.
Paul Scherz
wiley +1 more source

