Results 81 to 90 of about 167,571 (284)
Evolution of canalizing Boolean networks [PDF]
The European Physical Journal B, 2007 8 pages, 10 figures; revised and extended ...
Szejka, Agnes, Drossel, Barbara
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Advanced Science, EarlyView.ABSTRACT The spin Hall effect is a well‐known phenomenon in spintronics that has found numerous applications in digital electronics (memory and logic), but relatively few in analog electronics. Practically the only analog application in widespread use is the spin Hall nano‐oscillator (SHNO) that delivers a high frequency alternating current or voltage ...
Raisa Fabiha +6 more
wiley +1 more source
optPBN: an optimisation toolbox for probabilistic Boolean networks.
PLoS 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
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Relevant components in critical random Boolean networks
, 2006 Random Boolean networks were introduced in 1969 by Kauffman as a model for gene regulation. By combining analytical arguments and efficient numerical simulations, we evaluate the properties of relevant components of critical random Boolean networks ...
Drossel, B., Kaufman, V.
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T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities
Advanced Science, EarlyView.T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu +7 more
wiley +1 more source
PLoS 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
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Advanced Science, EarlyView.A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu +9 more
wiley +1 more source
The number and probability of canalizing functions
, 2003 Canalizing functions have important applications in physics and biology. For example, they represent a mechanism capable of stabilizing chaotic behavior in Boolean network models of discrete dynamical systems.
Aldana +20 more
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Advanced Science, EarlyView.We propose an optical ferroelectric field‐effect transistor, composed of a MoS2/CIPS heterostructure, demonstrates the feasibility of all‐optical nonvolatile memory, neuromorphic computing, and logic‐in‐memory operations. The device exhibits reversible light‐controlled memory states, retina‐like synaptic plasticity, and wavelength‐selective ...
Jingjie Niu +7 more
wiley +1 more source
Diagrammatic expansion of information flows in stochastic Boolean networks
Physical Review Research, 2020 Accurate information transfer is essential for biological, social, and technological networks. Computing transfer entropy (TE), a measure of information flow, usually relies on numerical methods even in small networks, which obscures the origin of ...
Fumito Mori, Takashi Okada
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