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| 1 | γ-MnO2 nanorods/graphene composite as efficient cathode for advanced rechargeable aqueous zinc-ion battery显示文摘Aqueous Zn//MnO2 batteries are emerging as promising large-scale energy storage devices owing to their cost-effectiveness,high safety,high output voltage,and energy density.However,the MnO2 cathode suffers from intrinsically poor rate performance and rapid capacity deterioration.Here,we remove the roadblock by compositing MnO2 nanorods with highly conductive graphene,which remarkably enhances the electrochemical properties of the MnO2 cathode.Benefiting from the boosted electric conductivity and ion diffusion rate as well as the structural protection of graphene,the Zn//MnO2-graphene battery presents an admirable capacity of 301 mAh g^-1 at 0.5 A g^-1,corresponding to a high energy density of 411.6 Wh kg^-1.Even at a high current density of 10 A g^-1,a decent capacity of 95.8 mAh g^-1 is still obtained,manifesting its excellent rate property.Furthermore,an impressive power density of 15 kW kg^-1 is achieved by the Zn//MnO2-graphene battery. | Chao Wang Yinxiang Zeng Xiang Xiao Shijia Wu Guobin Zhong Kaiqi Xu Zengfu Wei Wei Su Xihong Lu | 2020 | Journal of Energy Chemistry2020，29，4： | 13 |
| 2 | Activated cytotoxic lymphocytes promote tumor progression by increasing the ability of 3LL tumor cells to mediate MDSC chemoattraction via Fas signaling显示文摘Fas/FasL 系统播送细胞内部的 apoptotic 发信号,导致房间 apoptosis。然而,船边交货发信号也除了导致肿瘤房间 apoptosis 施加 non-apoptotic 功能。例如,船边交货发信号导致肺癌症肿瘤房间生产前列腺素 E2 (PGE2 ) 和成员导出 myeloid 的 suppressor 房间(MDSC ) 。激活的细胞毒素的 T 淋巴细胞(CTL ) 导致并且表示 FasL 在房间仍然是的 apoptosis 抵抗的肿瘤上在 CTL 开始的船边交货激活的 FasL,而是效果的高水平大部分不清楚。我们从 OT-1 老鼠净化了激活的 CD8 + T 房间,在肿瘤房间逃跑上评估了船边交货激活的规章的效果并且调查了相关机制。我们发现 CTL 导致了肿瘤细胞分泌 PGE2 和增加肿瘤经由船边交货发信号的 MDSC 的调停房间的 chemoattraction,它对肿瘤生长有利。我们的结果显示 CTL 可以参予肿瘤免疫者避免过程。就我们的知识而言,这是 CTL 在肿瘤逃跑由起一个作用的新奇机制。我们的调查结果含有经由对肿瘤的否定有免疫力的回答的减小提高 antitumor 免疫者反应的策略通过船边交货发信号由 CTL 支持了。 | Fei Yang Yinxiang Wei Zhijian Cai Lei Yu Lingling Jiang Chengyan Zhang Huanmiao Yan Qingqing Wang Xuetao Cao Tingbo Liang Jianli Wang | 2015 | Cellular & Molecular Immunology2015，12，1： | 6 |
| 3 | Post-transcriptional regulator Rbm47 elevates IL-10 production and promotes the immunosuppression of B cells显示文摘Regulatory B cells(Bregs)are a functionally defined B cell subset,and IL-10 is crucial for the suppressive functions of Bregs.However,little is known regarding how IL-10 production is regulated in B cells.To explore the mechanisms by which IL-10 is regulated in B cells,we used mRNA microarrays to screen for molecules that are upregulated in IL-10-producing B cells and identified RNA-binding motif protein 47(Rbm47)as a post-transcriptional regulator.Rbm47 was found to promote IL-10 production in B cells.We found that Rbm47 promotes the stability of IL-10 mRNA by binding to AU-rich elements in the 3′untranslated region of Il10 mRNA.In addition,we demonstrated that the overexpression of Rbm47 enabled B cells to facilitate Foxp3+regulator T-cell induction and reduce the severity of DSS-induced ulcerative colitis.Taken together,these results suggest that Rbm47 plays an important role in regulating IL-10 at the post-transcriptional level,thus promoting the regulatory functions of B cells.The findings presented in this study not only increase our understanding of the post-translational regulation of IL-10 in B cells but also identify a novel strategy for the potential application of Bregs. | Yinxiang Wei Fanghui Zhang Yu Zhang Xiaoqian Wang Chen Xing Jing Guo Hui Zhang Zhimin Suo Yan Li Jianli Wang Renxi Wang Zhijian Cai | 2019 | Cellular & Molecular Immunology2019，16，6： | 2 |
| 4 | Two-dimensional molecular crystalline semiconductors towards advanced organic optoelectronics显示文摘The compelling demand for higher performance and lower cost in the optoelectronics industry has driven the development of organic semiconductors.Molecular crystalline semiconductors(MCSs),especially two-dimensional MCSs(2D-MCSs),possess intrinsic ordered structure,quantum confinement effect,high mobility,unique optical and electrical properties,and more ecological and cheaper production,which make great promises in high-performance optoelectronic applications.Here we provide a review of design principles and synthetic strategies for 2D-MCS materials,exploiting their potential as a revolution option in associated optoelectronic devices.The merits and limitations of each strategy are presented,and these molecular crystals are considered as a competitive choice for emerging semiconducting materials in information science.Finally,the current challenges and future perspectives in this field are also elaborated. | Xuemei Dong Heshan Zhang Yinxiang Li Bin Liu Keyuan Pan Yijie Nie Mengna Yu Mustafa Eginligil Juqing Liu Wei Huang | 2022 | Nano Research2022，15，10： | 0 |
| 5 | Resource Allocation and Power Control Policy for Device-to-Device Communication Using Multi-Agent Reinforcement Learning显示文摘Device-to-Device(D2D)communication is a promising technology that can reduce the burden on cellular networks while increasing network capacity.In this paper,we focus on the channel resource allocation and power control to improve the system resource utilization and network throughput.Firstly,we treat each D2D pair as an independent agent.Each agent makes decisions based on the local channel states information observed by itself.The multi-agent Reinforcement Learning(RL)algorithm is proposed for our multi-user system.We assume that the D2D pair do not possess any information on the availability and quality of the resource block to be selected,so the problem is modeled as a stochastic non-cooperative game.Hence,each agent becomes a player and they make decisions together to achieve global optimization.Thereby,the multi-agent Q-learning algorithm based on game theory is established.Secondly,in order to accelerate the convergence rate of multi-agent Q-learning,we consider a power allocation strategy based on Fuzzy C-means(FCM)algorithm.The strategy firstly groups the D2D users by FCM,and treats each group as an agent,and then performs multi-agent Q-learning algorithm to determine the power for each group of D2D users.The simulation results show that the Q-learning algorithm based on multi-agent can improve the throughput of the system.In particular,FCM can greatly speed up the convergence of the multi-agent Q-learning algorithm while improving system throughput. | Yifei Wei Yinxiang Qu Min Zhao Lianping Zhang F.Richard Yu | 2020 | Computers, Materials & Continua2020，，6： | 0 |
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