Results 131 to 140 of about 2,033 (212)
Implementation of DNA Pattern Recognition in Turing Machines
Pattern recognition is the act of takingin raw data and taking an action based on thecategory of the pattern. DNA pattern recognitionhas applications in almost any field.
., Sumitha C.H
core
Spikes for the Gierer-Meinhardt system with discontinuous diffusion coefficients
The original publication is available at http://www.springerlink.com/content/vw2m382276u4g814/We rigorously prove results on spiky patterns for the Gierer-Meinhardt system with a jump discontinuity in the diffusion coefficient of the inhibitor.
Winter, M +3 more
core +1 more source
What does it take to turn a tool into a talking tool and that into an ultimate authority? Generative artificial intelligence (GenAI) in its diverse forms, such as large language models (LLMs), is celebrated as a useful tool. But LLM‐based conversational agents, or chatbots, the software applications through which ordinary users are likely to engage ...
Webb Keane
wiley +1 more source
Optimal network sizes for most robust Turing patterns
Many cellular patterns exhibit a reaction-diffusion component, suggesting that Turing instability may contribute to pattern formation. However, biological gene-regulatory pathways are more complex than simple Turing activator-inhibitor models and ...
Hazlam S. Ahmad Shaberi +3 more
doaj +1 more source
The Turing heritage for plant biology: all spots and stripes?
In ‘The chemical basis of morphogenesis’ (1952), Alan Turing introduced an idea that revolutionised our thinking about pattern formation. He proposed that diffusion could lead to the spontaneous formation of regular patterns.
Eric Siero, Eva E. Deinum
doaj +1 more source
ABSTRACT A new archive of oral history interviews from LGBTQIA‐identified alumni, faculty and staff reveals the complex ways that queer and transgender students understood, experienced and remembered the long transition from single‐sex to coeducation at Princeton University.
Ezelle Sanford III +2 more
wiley +1 more source
Tales of Cyberspace and Artificial Intelligence: Diverging Stakeholderships?
ABSTRACT This article traces the evolution of the Internet from the 1990s to the 2020s and compares it with the development of Artificial Intelligence (AI), particularly following the public launch of ChatGPT in late 2022. It identifies both parallels and divergencies between these two overlapping technological domains, focusing on the growing ...
Johan Eriksson, Giampiero Giacomello
wiley +1 more source
The spatiotemporal dynamics of a diffusive ratio-dependent Holling-Tanner predator-prey model with Smith growth subject to zero-flux boundary condition are investigated analytically and numerically.
Bo Yang
doaj +1 more source
Abstract Data‐ and code‐archiving are important components of open science, as both make research more transparent, reproducible, accountable and credible, allowing future researchers to build on previous work. Despite progress in implementing data‐ and code‐archiving policies in journals publishing ecology and evolution research, issues remain.
Natalie Cooper +1 more
wiley +1 more source
Turing Instability and Pattern Formation for the Lengyel-Epstein System with Nonlinear Diffusion
In this work we study the effect of density dependent nonlinear diffusion on pattern formation in the Lengyel–Epstein system. Via the linear stability analysis we determine both the Turing and the Hopf instability boundaries and we show how nonlinear ...
LOMBARDO, Maria Carmela +2 more
core +1 more source

