Results 21 to 30 of about 23,795 (258)

Turing pattern outside of the Turing domain

open access: yesApplied Mathematics Letters, 2007
There are two simple solutions to reaction-diffusion systems with limit-cycle reaction kinetics, producing oscillatory behaviour. The reaction parameter mu gives rise to a 'space-invariant' solution, and mu versus the ratio of the diffusion coefficients gives rise to a 'time-invariant' solution.
Flach, E, Schnell, S, Norbury, J
openaire   +4 more sources

Wavelength of a Turing-type mechanism regulates the morphogenesis of meshwork patterns

open access: yesScientific Reports, 2021
The meshwork pattern is a significant pattern in the development of biological tissues and organs. It is necessary to explore the mathematical mechanism of meshwork pattern formation.
Shan Guo, Ming-zhu Sun, Xin Zhao
doaj   +1 more source

The Logic of Turing Progressions [PDF]

open access: yesNotre Dame Journal of Formal Logic, 2020
Turing progressions arise by iteratedly adding consistency statements to a base theory. Different notions of consistency give rise to different Turing progressions. In this paper we present a logic that generates exactly all relations that hold between these different Turing progressions given a particular set of natural consistency notions.
Hermo Reyes, Eduardo, Joosten, Joost J.
openaire   +4 more sources

Serotonin signaling regulates actomyosin contractility during morphogenesis in evolutionarily divergent lineages

open access: yesNature Communications, 2023
Serotonin is a neurotransmitter that signals through 5-HT receptors to control key functions in the nervous system. Serotonin receptors are also ubiquitously expressed in various organs and have been detected in embryos of different organisms.
Sanjay Karki   +7 more
doaj   +1 more source

CA1 pyramidal cell diversity is rooted in the time of neurogenesis

open access: yeseLife, 2021
Cellular diversity supports the computational capacity and flexibility of cortical circuits. Accordingly, principal neurons at the CA1 output node of the murine hippocampus are increasingly recognized as a heterogeneous population. Their genes, molecular
Davide Cavalieri   +7 more
doaj   +1 more source

A Turing test for free will [PDF]

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2012
Before Alan Turing made his crucial contributions to the theory of computation, he studied the question of whether quantum mechanics could throw light on the nature of free will. This paper investigates the roles of quantum mechanics and computation in free will.
Seth Lloyd, Seth Lloyd
openaire   +6 more sources

Assessing Simulations of Imperial Dynamics and Conflict in the Ancient World

open access: yesCliodynamics, 2019
The development of models to capture large-scale dynamics in human history is one of the core contributions of cliodynamics. Most often, these models are assessed by their predictive capability on some macro-scale and aggregated measure and compared to ...
Jim Madge   +4 more
doaj   +1 more source

A survey on deep reinforcement learning architectures, applications and emerging trends

open access: yesIET Communications, EarlyView., 2022
Abstract From a future perspective and with the current advancements in technology, deep reinforcement learning (DRL) is set to play an important role in several areas like transportation, automation, finance, medical and in many more fields with less human interaction.
Surjeet Balhara   +6 more
wiley   +1 more source

Features requirement elicitation process for designing a chatbot application

open access: yesIET Networks, EarlyView., 2022
This article seeks to assist the chatbot community by outlining the characteristics that a chatbot needs to possess and explaining how to create a chatbot for a bank. In order to determine which capabilities are most crucial to ending users, a study of a small sample of chatbot users was conducted.
Nurul Muizzah Johari   +4 more
wiley   +1 more source

Bayesian Meta‐Learning for Few‐Shot Reaction Outcome Prediction of Asymmetric Hydrogenation of Olefins

open access: yesAngewandte Chemie, EarlyView.
A Bayesian meta‐learning framework is proposed for reaction outcome prediction in low‐data settings. It utilizes a literature‐mined dataset on asymmetric hydrogenation of olefins to build a pre‐trained model. This meta‐model is shown to return better predictions as compared to single‐tasks methods, such as random forest and graph neural networks, given
Sukriti Singh   +1 more
wiley   +2 more sources

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