Results 71 to 80 of about 106,502 (281)
A stochastic and dynamical view of pluripotency in mouse embryonic stem cells
Pluripotent embryonic stem cells are of paramount importance for biomedical research thanks to their innate ability for self-renewal and differentiation into all major cell lines.
Hufton, Peter G. +3 more
core +3 more sources
Phenotype Control techniques for Boolean gene regulatory networks
AbstractModeling cell signal transduction pathways via Boolean networks (BNs) has become an established method for analyzing intracellular communications over the last few decades. What’s more, BNs provide a course-grained approach, not only to understanding molecular communications, but also for targeting pathway components that alter the long-term ...
Daniel Plaugher, David Murrugarra
openaire +4 more sources
A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu +13 more
wiley +1 more source
Boolean Models of Bistable Biological Systems
This paper presents an algorithm for approximating certain types of dynamical systems given by a system of ordinary delay differential equations by a Boolean network model.
A. Novick +16 more
core +1 more source
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
Entropy of complex relevant components of Boolean networks
Boolean network models of strongly connected modules are capable of capturing the high regulatory complexity of many biological gene regulatory circuits.
A. Faure +6 more
core +1 more source
Kullback–Leibler Control in Boolean Control Networks
This article addresses the Kullback-Leibler (KL) control problem in Boolean control networks. In the considered problem, an extended stage cost function depending on the control inputs is introduced; in contrast to a stage cost of the conventional KL control problems in the Markov decision process cannot take into consideration the control inputs.
Mitsuru Toyoda, Yuhu Wu
openaire +2 more sources
T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities
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
Phenotype control and elimination of variables in Boolean networks
We investigate how elimination of variables can affect the asymptotic dynamics and phenotype control of Boolean networks. In particular, we look at the impact on minimal trap spaces, and identify a structural condition that guarantees their preservation.
Tonello, Elisa, Paulevé, Loïc
doaj +1 more source
Using synchronous Boolean networks to model several phenomena of collective behavior
In this paper, we propose an approach for modeling and analysis of a number of phenomena of collective behavior. By collectives we mean multi-agent systems that transition from one state to another at discrete moments of time. The behavior of a member of
Kochemazov, Stepan, Semenov, Alexander
core +4 more sources

