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| 1 | Dynamin Regulates Autophagy by Modulating Lysosomal Function显示文摘Autophagy is a central lysosomal degradation pathway required for maintaining cellular homeostasis and its dysfunction is associated with numerous human diseases. To identify players in autophagy, we tested w1200 chemically induced mutations on the X chromosome in Drosophila fat body clones and discovered that shibire(shi) plays an essential role in starvation-induced autophagy. shi encodes a dynamin protein required for fission of clathrin-coated vesicles from the plasma membrane during endocytosis. We showed that Shi is dispensable for autophagy initiation and autophagosomeelysosome fusion, but required for lysosomal/autolysosomal acidification. We also showed that other endocytic core machinery components like clathrin and AP2 play similar but not identical roles in regulating autophagy and lysosomal function as dynamin. Previous studies suggested that dynamin directly regulates autophagosome formation and autophagic lysosome reformation(ALR) through its excision activity. Here, we provide evidence that dynamin also regulates autophagy indirectly by regulating lysosomal function. | Xuefei Fang Jia Zhou Wei Liu Xiuying Duan Upasana Gala Hector Sandoval Manish Jaiswal Chao Tong | 2016 | Journal of Genetics and Genomics2016，43，2： | 0 |
| 2 | Prescribed-time leader-following consensus of linear multi-agent systems by bounded linear time-varying protocols显示文摘This paper considers the prescribed-time leader-following consensus problem of input-constrained linear multi-agent systems under generally directed communication topology in two cases:the Laplacian matrix related to the entire communication topology between agents is either known or unknown.In particular,the consensus problem for the former case is solved by a novel bounded linear time-varying(LTV) protocol,where the feedback gain is formulated by the parametric Lyapunov equation and the knowledge of the Laplacian matrix.Moreover,by utilizing a distributed observer,a fully bounded LTV protocol is proposed for the latter case.It should be noted that,compared with the existing results,the system under consideration is more general,the designed protocols are linear,and the consensus problem is accomplished even in a fully distributed manner.Finally,the effectiveness of the proposed approach is verified by a numerical example. | Kai ZHANG Bin ZHOU Xuefei YANG Guangren DUAN | 2024 | Science China(Information Sciences)2024，67，1： | 0 |
| 3 | Metal-Organic Frameworks Offering Tunable Binary Active Sites toward HighlyEfficient Urea Oxidation Electrolysis显示文摘Electrocatalytic urea oxidation reaction(UOR)is regarded as an effective yet challenging approach for the degradation of urea in wastewater into harmless N2 and CO_(2).To overcome the sluggish kinetics,catalytically active sites should be rationally designed to maneuver the multiple key steps of intermediate adsorption and desorption.Herein,we demonstrate that metal-organic frameworks(MOFs)can provide an ideal platform for tailoring binary active sites to facilitate the rate-determining steps,achieving remarkable electrocatalytic activity toward UOR.Specifically,the MOF(namely,NiMn_(0.14)-BDC)based on Ni/Mn sites and terephthalic acid(BDC)ligands exhibits a low voltage of 1.317 V to deliver a current density of 10 mA cm^(-2).As a result,a high turnover frequency(TOF)of 0.15 s^(-1) is achieved at a voltage of 1.4 V,which enables a urea degradation rate of 81.87%in 0.33 M urea solution.The combination of experimental characterization with theoretical calculation reveals that the Ni and Mn sites play synergistic roles in maneuvering the evolution of urea molecules and key reaction intermediates during the UOR,while the binary Ni/Mn sites in MOF offer the tunability for electronic structure and d-band center impacting on the intermediate evolution.This work provides important insights into active site design by leveraging MOF platform and represents a solid step toward highly efficient UOR with MOF-based electrocatalysts. | Xuefei Xu Qingming Deng Hsiao-Chien Chen Muhammad Humayun Delong Duan Xia Zhang Huachuan Sun Xiang Ao Xinying Xue Anton Nikiforov Kaifu Huo Chundong Wang Yujie Xiong | 2022 | Research2022，，4： | 0 |
| 4 | Dynamic computation offloading in time-varying environment for ultra-dense networks:a stochastic game approach显示文摘To meet the demands of large-scale user access with computation-intensive and delay-sensitive applications,combining ultra-dense networks(UDNs)and mobile edge computing(MEC)are considered as important solutions.In the MEC enabled UDNs,one of the most important issues is computation offloading.Although a number of work have been done toward this issue,the problem of dynamic computation offloading in time-varying environment,especially the dynamic computation offloading problem for multi-user,has not been fully considered.Therefore,in order to fill this gap,the dynamic computation offloading problem in time-varying environment for multi-user is considered in this paper.By considering the dynamic changes of channel state and users’queue state,the dynamic computation offloading problem for multi-user is formulated as a stochastic game,which aims to optimize the delay and packet loss rate of users.To find the optimal solution of the formulated optimization problem,Nash Q-learning(NQLN)algorithm is proposed which can be quickly converged to a Nash equilibrium solution.Finally,extensive simulation results are presented to demonstrate the superiority of NQLN algorithm.It is shown that NQLN algorithm has better optimization performance than the benchmark schemes. | Xie Renchao Liu Xu Duan Xuefei Tang Qinqin Yu Fei Richard Huang Tao | 2021 | The Journal of China Universities of Posts and Telecommunications2021，28，2： | 0 |
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