Results 191 to 200 of about 3,530,899 (245)
Fluorescent BODIPY‐conjugated thiosemicarbazone ligands and their Ga(III), In(III), and Fe(III) complexes, inspired by Triapine, are developed as theranostic agents. Multiphoton FLIM and confocal microscopy in cancer cells and zebrafish reveal real‐time uptake, mitochondrial localisation, and whilst spectroscopic assays indicated preserved complex ...
Megan J. Green +15 more
wiley +1 more source
Innate Immunocompetent hiPSC‐Derived Neurospheroids Capture Early CNS Responses to rAAV
Knowledge of human CNS immune responses to AAV‐based gene therapies remains limited due to the lack of immune‐competent human models. Here, a hiPSC‐derived 3D neuroimmune platform integrating neurospheroids and microglia is established using stirred‐tank bioreactors.
Catarina M. Gomes +14 more
wiley +1 more source
Charting Endocrine Progenitors Across Species and Organs
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing +21 more
wiley +1 more source
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang +6 more
wiley +1 more source
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Dynamic Active Average Consensus
IEEE Control Systems Letters, 2021We propose a continuous-time dynamic active average consensus algorithm in which the agents can alternate between active and passive modes depending on their ability to access to their reference input. The objective is to enable all the agents, both active and passive, to track the average of the reference inputs of the active agents.
Yi-Fan Chung, Solmaz S. Kia
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Quantized average consensus: Discontinuities and hysteresis
IFAC Proceedings Volumes, 2010Abstract It is well known that the consensus problem can be formulated in terms of a stabilization problem. In this note we consider continuous-time average consensus dynamics: We discuss how quantization can be included in the system, and focus on one model in which the agents’ states are communicated through uniform quantizers.
Ceragioli, F., Persis, C. De, Frasca, P.
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Threshold phenomenon for average consensus
2012 12th International Conference on Control Automation Robotics & Vision (ICARCV), 2012In this paper, our main concern is to study the influence of the number of edges on the convergence rate and the total communication cost in distributed average consensus problems. We begin with the case of regular networks, i.e. networks for which the associated graph (vertices corresponding to sensors and edges being defined by communicating sensor ...
Yiming Ji +2 more
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From Matrix-Weighted Consensus to Multipartite Average Consensus
IEEE Transactions on Control of Network Systems, 2020This article studies a consensus protocol, which is called a multipartite average consensus, of a multiagent system over signed undirected networks in which all agents could be partitioned into multiple subgroups and all agents in the same group converge to the average of their initial values.
Seong-Ho Kwon +3 more
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Average consensus on general digraphs
IEEE Conference on Decision and Control and European Control Conference, 2011We study the average consensus problem of multiagent systems for general network topologies with unidirectional information flow. We propose a linear distributed algorithm which guarantees state averaging on arbitrary strongly connected digraphs. In particular, this graphical condition does not require that the network be balanced or symmetric, thereby
Kai Cai 0002, Hideaki Ishii
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Distributed Average Consensus With Quantization Refinement
IEEE Transactions on Signal Processing, 2013We consider the problem of distributed average consensus in a sensor network where sensors exchange quantized information with their neighbors. We propose a novel quantization scheme that exploits the increasing correlation between the values exchanged by the sensors throughout the iterations of the consensus algorithm.
Thanou, Dorina +3 more
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