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Published in 2021 at "Nucleic Acids Research"
DOI: 10.1093/nar/gkab558
Abstract: Abstract Metazoan transcription factors distinguish their response elements from a large excess of similar sequences. We explored underlying principles of DNA shape read-out and factor cooperativity in chromatin using a unique experimental system. We reconstituted… read more here.
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3011670
Abstract: Multi-agent deep reinforcement learning (MDRL) is an emerging research hotspot and application direction in the field of machine learning and artificial intelligence. MDRL covers many algorithms, rules and frameworks, it is currently researched in swarm… read more here.
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Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2022.105506
Abstract: Multi-agent systems can solve scientific issues related to complex systems that are difficult or impossible for a single agent to solve through mutual collaboration and cooperation optimization. In a multi-agent system, agents with a certain… read more here.
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Published in 2018 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2017.2713526
Abstract: This brief concerns a general cooperative–competitive network with weighted interactions, based on which the cluster consensus problem is addressed. A directed network with the weighted cooperative–competitive interactions is classified into three categories: 1) interactively balanced;… read more here.
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Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3164782
Abstract: In this brief, the bipartite consensus problem of linear multi-agent systems with a dynamic event-triggered protocol is studied. A distributed controller with a cooperative-competitive mechanism and estimated states is first designed, and a dynamic event-triggered… read more here.
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Published in 2020 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-020-01738-w
Abstract: Opportunistic spectrum access (OSA) problem in cognitive radio (CR) networks allows a secondary (unlicensed) user (SU) to access a vacant channel allocated to a primary (licensed) user (PU). By finding the availability of the best… read more here.
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Published in 2022 at "Entropy"
DOI: 10.3390/e24040563
Abstract: Most previous studies on multi-agent systems aim to coordinate agents to achieve a common goal, but the lack of scalability and transferability prevents them from being applied to large-scale multi-agent tasks. To deal with these… read more here.
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Published in 2017 at "Sustainability"
DOI: 10.3390/su10010079
Abstract: This study investigated the effect of flipped learning in business education, especially teaching corporate sustainability. Although the effect of flipped learning has been demonstrated in many education avenues, it is still rare in business education.… read more here.