Results 81 to 90 of about 11,341,390 (298)

Evolving Boolean regulatory networks with epigenetic control [PDF]

open access: yes, 2014
The significant role of epigenetic mechanisms within natural systems has become increasingly clear. This paper uses a recently presented abstract, tunable Boolean genetic regulatory network model to explore aspects of epigenetics.
Bull, Larry
core   +1 more source

"Antelope": a hybrid-logic model checker for branching-time Boolean GRN analysis

open access: yesBMC Bioinformatics, 2011
Background In Thomas' formalism for modeling gene regulatory networks (GRNs), branching time, where a state can have more than one possible future, plays a prominent role.
Arellano Gustavo   +7 more
doaj   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

Linear operators that preserve Boolean rank of Boolean matrices [PDF]

open access: yes, 2013
summary:The Boolean rank of a nonzero $m\times n$ Boolean matrix $A$ is the minimum number $k$ such that there exist an $m\times k$ Boolean matrix $B$ and a $k\times n$ Boolean matrix $C$ such that $A=BC$. In the previous research L. B. Beasley and N. J.
Song, Seok-Zun, Beasley, LeRoy B.
core   +1 more source

TESTING HISTOLOGICAL IMAGES OF MAMMARY TISSUES ON COMPATIBILITY WITH THE BOOLEAN MODEL OF RANDOM SETS

open access: yesImage Analysis and Stereology, 2011
Methods for testing the Boolean model assumption from binary images are briefly reviewed. Two hundred binary images of mammary cancer tissue and 200 images of mastopathic tissue were tested individually on the Boolean model assumption.
Tomáš Mrkvička, Torsten Mattfeldt
doaj   +1 more source

Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing

open access: yesAdvanced Science, EarlyView.
A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh   +7 more
wiley   +1 more source

Spatially Encoded Protocell Network for Non‐Cascaded Parallel Biocomputation

open access: yesAdvanced Science, EarlyView.
A non‐cascaded, hydrogel‐based proteinosome computational platform is developed, in which redox‐responsive proteinosomes serve as local computing units within a shared reaction–diffusion field. Reductant inputs, countered by an auxiliary glucose gradient, regulate spatially patterned proteinosome disruption, and generate population‐level boundaries ...
Shuqi Wu, Liangfei Tian
wiley   +1 more source

Valuations and Boolean Models [PDF]

open access: yes, 2017
Valuations, as additive functionals, allow various applications in Stochastic Geometry, yielding mean value formulas for specific random closed sets and processes of convex or polyconvex particles. In particular, valuations are especially adapted to Boolean models, the latter being the union sets of Poisson particle processes.
Schulte, Julia, Weil, Wolfgang
openaire   +2 more sources

Bio‐Based Polyurethanes for Sustainable and Multifunctional Applications

open access: yesAdvanced Science, EarlyView.
Bio‐based polyurethanes prepared from vegetable oils, lignin, and polysaccharides have attracted increasing interest as alternatives to fossil‐derived polyurethanes. This review summarizes recent progress in their chemistry, structural engineering, and advanced applications, highlighting the roles of feedstocks, chain‐segment design, dynamic covalent ...
Xin Li   +6 more
wiley   +1 more source

Physical random analysis of Boolean chaos

open access: yesTongxin xuebao, 2019
To analyze the physical randomness of Boolean chaos,the model for chaotic circuit system based on autonomous Boolean network was established.In addition,the equations of the Boolean network with phase noise were deduced.By considering the phase noise,the
Lishuang GONG   +4 more
doaj   +2 more sources

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