University of Macau

About: University of Macau is a education organization based out in Macao, Macau, China. It is known for research contribution in the topics: Population & Control theory. The organization has 6636 authors who have published 18324 publications receiving 327384 citations. The organization is also known as: UM & UMAC.

Engineering Pt and Fe dual-metal single atoms anchored on nitrogen-doped carbon with high activity and durability towards oxygen reduction reaction for zinc-air battery

Abstract: Fabrication of Pt-based electrocatalysts with high activity and excellent durability is critical for the practical applications into zinc-air battery (ZAB). In this work. A novel strategy for the encapsulation of Pt species into the cavities of Fe-doped zeolite imidazolate framework is proposed to increase the density of active metal atoms and improve the activity effectively, where both isolated Pt and Fe single atoms anchored on nitrogen-doped carbon (PtFeNC) are obtained by a simple pyrolysis. Impressively, PtFeNC delivers a half-wave potential of 0.895 V (vs. RHE), Moreover, PtFeNC exhibits a lower yield of peroxide species than FeNC. Importantly, the ZAB battery shows a specific capacity of as high as 807 mA h/g at a discharge current density of 10 mA/cm2. Our findings show that dual- and multi- metallic single atom catalysts with abundant active sites can be achieved to boost electrocatalytic activity for their practical applications in energy storage though the new tactic.

A MnO2 nanosheet-assisted GSH detection platform using an iridium(III) complex as a switch-on luminescent probe

Abstract: A rapid and sensitive detection platform for GSH has been constructed by combining a MnO2 nanosheet with a luminescent iridium(III) complex [Ir(Cl-phq)2(Cl-phen)]+. The MnO2 nanosheet was prepared by using a facile one-step approach and was characterized by TEM. The luminescence intensity of the detection platform responded linearly with the GSH concentration from 1 to 200 μM (R2 = 0.9951), and the detection limit for GSH was 0.13 μM. More importantly, practical application of the detection platform for visualizing the intracellular GSH distribution in living zebrafish has also been demonstrated.

Optimized Multi-Agent Formation Control Based on an Identifier–Actor–Critic Reinforcement Learning Algorithm

Abstract: The paper proposes an optimized leader–follower formation control for the multi-agent systems with unknown nonlinear dynamics. Usually, optimal control is designed based on the solution of the Hamilton–Jacobi–Bellman equation, but it is very difficult to solve the equation because of the unknown dynamic and inherent nonlinearity. Specifically, to multi-agent systems, it will become more complicated owing to the state coupling problem in control design. In order to achieve the optimized control, the reinforcement learning algorithm of the identifier–actor–critic architecture is implemented based on fuzzy logic system (FLS) approximators. The identifier is designed for estimating the unknown multi-agent dynamics; the actor and critic FLSs are constructed for executing control behavior and evaluating control performance, respectively. According to Lyapunov stability theory, it is proven that the desired optimizing performance can be arrived. Finally, a simulation example is carried out to further demonstrate the effectiveness of the proposed control approach.

Structuring for organizational learning

Abstract: The concept of organizational learning has taken its prominence in the past several decades as a way to achieve competitive advantage. Companies are urged to become “learning organizations” to develop their learning capability for survival and maintaining competitiveness. However, very few studies have addressed the issue of how organizational structure may contribute to organizational learning. This article attempts to bridge the gap in literatures by engaging in a theoretical debate to generate a synthesis of these two concepts.