Results 51 to 60 of about 9,316 (295)

Cellular automaton rules conserving the number of active sites

, 1998
This paper shows how to determine all the unidimensional two-state cellular automaton rules of a given number of inputs which conserve the number of active sites. These rules have to satisfy a necessary and sufficient condition.
Boccara N, Denning P, Farmer D, Feder J, Fuks H, Fukui M, Gutowitz H, Hopcroft J E, Hurst H E, Hurst H E, Manneville P, Nagel K, Weiss G H, Wolfram S, Wolfram S   +14 more
core   +1 more source

Patterning the insect eye: From stochastic to deterministic mechanisms.

PLoS Computational Biology, 2018
While most processes in biology are highly deterministic, stochastic mechanisms are sometimes used to increase cellular diversity. In human and Drosophila eyes, photoreceptors sensitive to different wavelengths of light are distributed in stochastic ...
Haleh Ebadi, Michael Perry, Keith Short, Konstantin Klemm, Claude Desplan, Peter F Stadler, Anita Mehta   +6 more
doaj   +1 more source

Growth of surfaces generated by a probabilistic cellular automaton

, 1998
A one-dimensional cellular automaton with a probabilistic evolution rule can generate stochastic surface growth in $(1 + 1)$ dimensions. Two such discrete models of surface growth are constructed from a probabilistic cellular automaton which is known to ...
Bhattacharyya, Pratip
core   +3 more sources

Two-species hardcore reversible cellular automaton: matrix ansatz for dynamics and nonequilibrium stationary state

SciPost Physics, 2019
In this paper we study the statistical properties of a reversible cellular automaton in two out-of-equilibrium settings. In the first part we consider two instances of the initial value problem, corresponding to the inhomogeneous quench and the local ...
Marko Medenjak, Vladislav Popkov, Tomaž Prosen, Eric Ragoucy, Matthieu Vanicat
doaj   +1 more source

Scaling in Anti-Plane Elasticity on Random Shear Modulus Fields with Fractal and Hurst Effects

Fractal and Fractional, 2021
The scale dependence of the effective anti-plane shear modulus response in microstructures with statistical ergodicity and spatial wide-sense stationarity is investigated.
Yaswanth Sai Jetti, Martin Ostoja-Starzewski   +1 more
doaj   +1 more source

Development and validation of computational models of cellular interaction [PDF]

, 2004
In this paper we take the view that computational models of biological systems should satisfy two conditions – they should be able to predict function at a systems biology level, and robust techniques of validation against biological models must be ...
Holcombe, W.M.L., Smallwood, R.H. [r.smallwood@shef.ac.uk], Walker, D.C.   +2 more
core   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

A lattice grain model of hillslope evolution [PDF]

Earth Surface Dynamics, 2018
This paper describes and explores a new continuous-time stochastic cellular automaton model of hillslope evolution. The Grain Hill model provides a computational framework with which to study slope forms that arise from stochastic disturbance and rock
G. E. Tucker, S. W. McCoy, D. E. J. Hobley   +2 more
doaj   +1 more source

Estimation of the order parameter exponent of critical cellular automata using the enhanced coherent anomaly method.

, 1995
The stochastic cellular automaton of Rule 18 defined by Wolfram [Rev. Mod. Phys. 55 601 (1983)] has been investigated by the enhanced coherent anomaly method.
G. Szabó, G. Ódor, G. Ódor, Géza Ódor, H. Gutowitz, J.L. Cardy, K. De'Bell, K. Eloranta, M. Suzuki, N. Boccara, N. Inui, R. Dickman, R. Dickman, S. Wolfram, W. Kinzel   +14 more
core   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source