Results 71 to 80 of about 849 (213)

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

Delay Partial Synchronization of Mutual Delay Coupled Boolean Networks

open access: yesMeasurement + Control, 2020
This paper studies the delay partial synchronization for mutual delay-coupled Boolean networks. First, the mutual delay-coupled Boolean network model is presented.
Qiang Wei   +3 more
doaj   +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

optPBN: an optimisation toolbox for probabilistic Boolean networks.

open access: yesPLoS ONE, 2014
BackgroundThere exist several computational tools which allow for the optimisation and inference of biological networks using a Boolean formalism. Nevertheless, the results from such tools yield only limited quantitative insights into the complexity of ...
Panuwat Trairatphisan   +4 more
doaj   +1 more source

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

Modeling of genetic regulatory networks in the differentiation of neural crest stem cells to sensory neurons by means of boolean networks

open access: yesRevista Facultad de Ingeniería Universidad de Antioquia, 2011
In the present study we have generated a GRN comprising the process by which neural crest stem cells develop to two types of sensory neurons (Propioceptors and Nocioceptors).
Jorge Marcelo Aráus Patiño   +2 more
doaj  

Integer programming-based method for designing synthetic metabolic networks by Minimum Reaction Insertion in a Boolean model.

open access: yesPLoS ONE, 2014
In this paper, we consider the Minimum Reaction Insertion (MRI) problem for finding the minimum number of additional reactions from a reference metabolic network to a host metabolic network so that a target compound becomes producible in the revised host
Wei Lu   +3 more
doaj   +1 more source

Boolean Networks with Multiexpressions and Parameters [PDF]

open access: yesIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013
A version of this paper appeared in IEEE Transactions on Computational Biology and ...
openaire   +3 more sources

Engineering CAR‐Macrophages With Advanced Delivery Systems for Tissue Repair

open access: yesAdvanced Science, EarlyView.
This review highlights how engineered macrophages equipped with chimeric antigen receptors (CAR) guide tissue repair by recognizing disease‐related targets, clearing harmful cells, and reshaping local immune environments. It summarizes macrophage biology, CAR design, delivery platforms, and functionalization strategies, and discusses emerging ...
Yixin Zhang   +8 more
wiley   +1 more source

State space analysis of diphtheria pathogenesis using semi-tensor products and permutation methods [PDF]

open access: yesNetwork Biology
In this study, we analyze the state space of a Boolean network modeling diphtheria pathogenesis, focusing on key genes such as Tox, Rep, INF1/INF2, TLR, AP1, IL6, and TNF.
Ugbene Ifeanyichukwu Jeff   +1 more
doaj  

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