Results 101 to 110 of about 7,477,558 (327)
Random Attractors for Stochastic Retarded Lattice Dynamical Systems
This paper is devoted to a stochastic retarded lattice dynamical system with additive white noise. We extend the method of tail estimates to stochastic retarded lattice dynamical systems and prove the existence of a compact global random attractor within
Xiaoquan Ding, Jifa Jiang
doaj +1 more source
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
Uniformly Random Attractor for the Three-Dimensional Stochastic Nonautonomous Camassa-Holm Equations
We consider the uniformly random attractor for the three-dimensional stochastic nonautonomous Camassa-Holm equations in the periodic box [0, ] 3 in this paper.
Zhengrong Liu, Zhehao Huang
core
ROBUSTNESS AGAINST RANDOM DILUTION IN ATTRACTOR NEURAL NETWORKS
We study the robustness of attractor neural networks against random disruption of a fraction of the synaptic couplings. For the maximally stable network (MSN), we determine the effect of different degrees of dilution on the overall storage capacity, the ...
WONG, KYM +3 more
core +1 more source
LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang +9 more
wiley +1 more source
Random Boolean Networks and Attractors of their Intersecting Circuits [PDF]
The multi-scale strategy in studying biological regulatory networks analysis is based on two level of analysis. The first level is structural and consists in examining the architecture of the interaction graph underlying the network and the second level is functional and analyse the regulatory properties of the network.
Jacques Demongeot +3 more
openaire +2 more sources
Lactoferrin promotes wound healing by activating MAPK, PI3K/Akt, and extracellular matrix pathways, enhancing fibroblast remodeling, proliferation, and re‐epithelialization. These mechanisms highlight its therapeutic potential in inflammation control, tissue repair, and remodeling.
Morgana Lüdtke Azevedo +4 more
wiley +1 more source
fran-romero-campero/ATTRACTOR: Fiesta release of ATTRACTOR
<p>The circadian clock and light signalling play central roles in plant physiology and development. As a consequence, massive amounts of omics data have been generated to characterize their individual components.
Francisco J. Romero-Campero +2 more
core +1 more source
Adenosine triphosphate as a modulator of protein interactions and stability
ATP is best known as the cell's energy currency, but it also shapes how proteins fold, interact, aggregate and form biomolecular condensates. This review explains the emerging physical principles behind these effects, including weak binding to charged protein regions, magnesium‐dependent behaviour and concentration‐dependent control of protein ...
Shuyuan Tan, Robin Curtis
wiley +1 more source
Random attractors and nonergodic attractors for diffusions with degeneracies
We consider a diffusion on a bounded domain, assuming that the system is irreducible inside the domain and that the diffusion has varying degree of degeneracy on the domain's boundary. The long-term statistical properties of typical trajectories started inside the domain may be governed by one invariant measure or more than one invariant measure.
Bakhtin, Yuri +2 more
openaire +2 more sources

