Results 61 to 70 of about 1,156,059 (330)

Robust Control Invariance of Probabilistic Boolean Control Networks via Event-Triggered Control

open access: yesIEEE Access, 2018
This paper investigates the robust control invariance of probabilistic Boolean control networks via the technique of semi-tensor product. Some essential conditions are obtained to check whether the set is a robust event-triggered control invariant set ...
Liyun Tong   +5 more
doaj   +1 more source

Normalizing Input–Output Relationships of Cancer Networks for Reversion Therapy

open access: yesAdvanced Science, 2023
Accumulated genetic alterations in cancer cells distort cellular stimulus‐response (or input–output) relationships, resulting in uncontrolled proliferation.
Jae Il Joo   +2 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj   +8 more
wiley   +1 more source

A Dynamic Gene Regulatory Network Model That Recovers the Cyclic Behavior of Arabidopsis thaliana Cell Cycle. [PDF]

open access: yesPLoS Computational Biology, 2015
Cell cycle control is fundamental in eukaryotic development. Several modeling efforts have been used to integrate the complex network of interacting molecular components involved in cell cycle dynamics.
Elizabeth Ortiz-Gutiérrez   +5 more
doaj   +1 more source

Evolving Gene Regulatory Networks with Mobile DNA Mechanisms

open access: yes, 2013
This paper uses a recently presented abstract, tuneable Boolean regulatory network model extended to consider aspects of mobile DNA, such as transposons.
Adamatzky, Andrew, Bull, Larry
core   +1 more source

Categorization Problem on Controllability of Boolean Control Networks [PDF]

open access: yesIEEE Transactions on Automatic Control, 2019
A Boolean control network (BCN) is a discrete-time dynamical system whose variables take values from a binary set $\lbrace 0,1\rbrace$. At each time step, each variable of the BCN updates its value simultaneously according to a Boolean function which ...
Qunxi Zhu, Zuguang Gao, Yang Liu, W. Gui
semanticscholar   +1 more source

On quotients of Boolean control networks [PDF]

open access: yesat - Automatisierungstechnik, 2020
In this paper, we focus on the study of quotients of Boolean control networks (BCNs) with the motivation that they might serve as smaller models that still carry enough information about the original network.
Rui Li, Qi Zhang, T. Chu
semanticscholar   +1 more source

Light‐Programmable Interfaces: From Molecular Photoswitching to Adaptive Membrane Separations

open access: yesAdvanced Materials Interfaces, EarlyView.
This review advances an interface‐centered framework for light‐responsive membranes, linking molecular photoswitches (azobenzene (AZO), spiropyran (SP), diarylethene (DAE), donor–acceptor Stenhouse adducts (DASA), photoacid) to integration strategies in polymeric, porous, self‐assembled, and mixed‐matrix systems.
Liangliang Zhang   +6 more
wiley   +1 more source

Network Topology as a Driver of Bistability in the lac Operon

open access: yes, 2008
The lac operon in Escherichia coli has been studied extensively and is one of the earliest gene systems found to undergo both positive and negative control. The lac operon is known to exhibit bistability, in the sense that the operon is either induced or
Alan Veliz-Cuba   +3 more
core   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

open access: yesAdvanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari   +4 more
wiley   +1 more source

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