Results 51 to 60 of about 1,908,978 (257)

Gene expression time delays & Turing pattern formation systems [PDF]

, 2006
The incorporation of time delays can greatly affect the behaviour of partial differential equations and dynamical systems. In addition, there is evidence that time delays in gene expression due to transcription and translation play an important role in ...
Gaffney, Eamonn, Monk, N, Gaffney, E. A., Monk, N. A. M., Gaffney, EA, Monk, NA   +5 more
core   +1 more source

Noise–Seeded Developmental Pattern Formation in Filamentous Cyanobacteria

Life, 2018
Under nitrogen-poor conditions, multicellular cyanobacteria such as Anabaena sp. PCC 7120 undergo a process of differentiation, forming nearly regular, developmental patterns of individual nitrogen-fixing cells, called heterocysts, interspersed between ...
Rinat Arbel-Goren, Francesca Di Patti, Duccio Fanelli, Joel Stavans   +3 more
doaj   +1 more source

Steady-state bifurcation of FHN-type oscillator on a square domain

Nonlinear Analysis, 2023
The Turing patterns of reaction-diffusion equations defined over a square region are more complex because of the D4-symmetry of the spatial region. This leads to the occurrence of multiple equivariant Turing bifurcations.
Chunrui Zhang, Xiaoxiao Liu, Baodong Zheng   +2 more
doaj   +1 more source

Unravelling the Turing bifurcation using spatially varying diffusion coefficients [PDF]

, 1998
The Turing bifurcation is the basic bifurcation generating spatial pattern, and lies at the heart of almost all mathematical models for patterning in biology and chemistry.
Benson, Debbie L., Sherratt, J. A., Benson, D. L., Maini, P. K., Sherratt, Jonathan A., Maini, Philip, Maini, PK, Benson, DL, Sherratt, JA, Maini, Philip K.   +9 more
core   +1 more source

alan-turing-institute/distinctipy: v1.2.0

, 2021
What's Changed Docs Development by @jack89roberts in https://github.com/alan-turing-institute/distinctipy/pull/12 Ensure all contants are floats by @Erotemic in https://github.com/alan-turing-institute/distinctipy/pull/11 Add ability to specify random ...
Jon Crall, Jack Roberts
core   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

First, Scale Up to the Robotic Turing Test, Then Worry About Feeling

, 2007
Consciousness is feeling, and the problem of consciousness is the problem of explaining how and why some of the functions underlying some of our performance capacities are felt rather than just “functed.” But unless we are prepared to assign to feeling a
Peter Scherzer, Stevan Harnad, Scherzer, Peter, Harnad, Stevan   +3 more
core   +2 more sources

Exploring Spatiotemporal Complexity of a Predator-Prey System with Migration and Diffusion by a Three-Chain Coupled Map Lattice

Complexity, 2019
The topic of utilizing coupled map lattice to investigate complex spatiotemporal dynamics has attracted a lot of interest. For exploring the spatiotemporal complexity of a predator-prey system with migration and diffusion, a new three-chain coupled map ...
Tousheng Huang, Huayong Zhang, Xuebing Cong, Ge Pan, Xiumin Zhang, Zhao Liu   +5 more
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Turing Patterns and Biological Explanation [PDF]

Disputatio, 2017
AbstractTuring patterns are a class of minimal mathematical models that have been used to discover and conceptualize certain abstract features of early biological development. This paper examines a range of these minimal models in order to articulate and elaborate a philosophical analysis of their epistemic uses.
openaire   +3 more sources