Results 61 to 70 of about 13,394,408 (251)
Loss of eIF5A rewires thapsigargin‐mediated endoplasmic reticulum stress responses in multiple myeloma cells by selective translation of mRNA transcripts, consequently dampening thapsigargin‐induced unfolded protein response (UPR) activation and shifting the balance from induction of apoptosis toward cell survival and proliferation.
Demi Both +7 more
wiley +1 more source
This paper developed an intelligent multi-agent system (MAS) with a multi-layer framework for multi-microgrids (MMGs) using robust and modern communication patterns for deployed agents to achieve distributed tasks.
Kamran Mujahid +9 more
doaj +1 more source
High‐risk bladder cancer is typically treated with Bacillus Calmette‐Guérin (BCG), but 30–40% of patients relapse. No FDA‐ or CE‐approved biomarkers currently predict or prognosticate BCG failure. We systematically reviewed the literature and identified 72 eligible studies, revealing several promising biomarkers associated with BCG treatment response ...
Rui Ribeiro‐Pereira +7 more
wiley +1 more source
The application of multi-agent systems to the design of an intelligent geometry compressor [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.In this research, a multi-agent approach was applied to the design of a large axial flow compressor in order to optimise performance and to greatly enlarge ...
Morgan, Gwyn
core +4 more sources
Enterotoxigenic Bacteroides fragilis is a gut bacterium linked to bowel cancer. We propose that its toxin acts along two routes: at the cell surface, cutting the adhesion protein E‐cadherin and triggering inflammation; and inside the cell, delivered by bacterial vesicles, switching on NOD1 and cancer stem cell programs.
Kangchan Choi +2 more
wiley +1 more source
Distributed adaptive iterative learning control for 2D multi agent systems
This letter addresses the output consensus problem for a class of two‐dimensional (2D) multi agent systems (MASs) described by Fornasini–Marchesini model.
Qingyuan Xu +4 more
doaj +1 more source
Avoiding collaborative paradox in multi‐agent reinforcement learning
The collaboration productively interacting between multi‐agents has become an emerging issue in real‐world applications. In reinforcement learning, multi‐agent environments present challenges beyond tractable issues in single‐agent settings.
Hyunseok Kim +3 more
doaj +1 more source
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Consensus Control of Multi-Agent Systems by Intermittent Brownian Noise Stabilization Scheme
This study explores the consensus of multi-agent systems in the presence of ambient noise using intermittent Brownian noise stabilization. Firstly, the research provides a mathematical explanation of multi-agent systems and intermittent stochastic noise,
Liangyi Cai +4 more
doaj +1 more source
We describe detailed protocols for the purification and preparation of Marchantia polymorpha Auxin Response Factor 2 (MpARF2). This protein is fused to an MBP solubility tag and an mNG fluorescent tag and is purified from Escherichia coli. The presented procedures make it possible to study MpARF2 assemblies, which could arise from phase separation ...
Bas Janssen +5 more
wiley +1 more source

