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8篇 您的检索式:作者名="Qinghan Li"
    题名 作者 年代 出处 被引量
1A designed amphiphilic peptide containing the silk fibroin motif as a potential carrier of hydrophobic drugs显示文摘amphiphilic 肽作为一个潜在的药搬运人正在变得吸引人在一个水的系统改进恐水病的药的 dissolvability;因此,由目标房间便于药举起。这里,我们报导新奇设计 amphiphilic 肽,能稳定分核的 Ac-RADAGAGARADAGAGA-NH 2, ,我们选择了在水的答案学习的恐水病的模型药。这设计的肽由在 peptide– 内包含分核形成了胶体的暂停;分核建筑群。鸡蛋 phosphatidylcholine (EPC ) 泡被用来模仿房间双性人层膜。我们发现那个分核被与 EPC 泡混合胶体的暂停免除肽涂层进 EPC 泡,它被稳定的荧光系列作为时间的功能跟随。为在一给定的时间释放进 EPC 泡的分核的数量的一条刻度曲线被用来决定免除进类脂化合物泡 peptide– 的分核的最后的集中;分核建筑群。peptide– 的版本率;分核建筑群是打算的确定进 EPC 泡的分核的转移。Qinghan Zhou Juan Lin Jing Wang Feng Li Fushan Tang Xiaojun Zhao 2009Progress in Natural Science:Materials International2009,19,11:11
2Application of third-party mediation for medical disputes: an introduction of Chinese experience显示文摘Cao Yanlin Wang Jiangjun Zheng Xueqian Jin Qinghan Tian Yongquan Wen Xuebin Wei Zhanying Li Wu 2014Chinese Medical Journal2014,,14:4
3Sent2Agri System Based Crop Type Mapping in Yellow River Irrigation Area显示文摘Agricultural monitoring is essential for adequate management of food production and distribution.Crop land and crop type classification,using remote sensing time series,form an important tool to capture the agricultural production information.The recently launched Sentinel-2 satellites provide unprecedented monitoring capacities in terms of spatial resolution,swath width,and revisit frequency.The Sentinel-2 for Agriculture(Sen2-Agri)system has been developed to fully exploit those capacities,by providing four relevant earth observation products for agricultural monitoring.Under the Dragon 4 Program,the crop mapping with various satellite images and a specific focus on the Yellow River irrigated agricultural area in the Ningxia Hui Autonomous Region in China was carried out with the Sentinel-2 for Agriculture system(Sent2Agri).9 types of crops were classified and the crop type map in 2017 was produced based on 35 scenes Sentinel 2A/B images.The overall accuracy computed from the error confusion matrix is 88%,which includes the cropped and uncropped types.After the removal of the uncropped area,the overall accuracy for a cropped decrease to 73%.In order to further improve the crop classification accuracy,the training dataset should be further improved and tuned.Jinlong FAN Pierre DEFOURNY Qinghan DONG Xiaoyu ZHANG Mathilde De VROEY Nicolas BELLEMANS Qi XU Qiliang LI Lei ZHANG Hao GAO 2020Journal of Geodesy and Geoinformation Science2020,3,4:2
4Ordered structure of interlayer constructed with metal-organic frameworks improves the performance of lithium-sulfur batteries显示文摘Lithium-sulfur(Li-S)battery has attracted intensive attention in the realm of energy storage owing to its high theoretical capacity and energy density.However,the shuttle effect of soluble lithium polysulfides(LiPSs)between electrodes results in rapid capacity degradation.Herein,a strategy which combines the design of both chemical interaction and microstructure of interlayer was proposed to suppress the shuttle effect.The chemical interaction between different functionalized MOFs and LiPSs was systematically studied to find the best candidate.Furthermore,an interlayer with ordered structure was constructed via the layer-by-layer assembly of metal-organic frameworks(MOFs)on graphene(UiO-66-NH_(2)@graphene)to create sinuous channels which can better impede the diffusion process of LiPSs by the strong adsorption of MOF toward LiPSs.Consequently,in comparison to the battery with a bare separator,the ordered interlayer increased the initial discharge capacity of battery by 28.98%at 1.0 C and lowered the capacity decay rate remarkably from 0.10%to 0.067%per cycle,indicating that the design of chemical interaction and microstructure paves the way for high-performance Li-S batteries.Sijia Guo Yingbo Xiao Jia Wang Yuan Ouyang Xin Li Haoyan Deng Wenchao He Qinghan Zeng Wei Zhang Qi Zhang Shaoming Huang 2021Nano Research2021,14,12:1
5Dynamic responses of long-span transmission tower-line system subjected to broken wires 显示文摘Xia Zhengchun Li Li Fang Qinghan Long Xiaohong 2008Journal of Southwest Jiaotong University2008,16,4:1
6A Trusted Edge Resource Allocation Framework for Internet of Vehicles显示文摘With the continuous progress of information technique,assisted driving technology has become an effective technique to avoid traffic accidents.Due to the complex road conditions and the threat of vehicle information being attacked and tampered with,it is difficult to ensure information security.This paper uses blockchain to ensure the safety of driving information and introduces mobile edge computing technology to monitor vehicle information and road condition information in real time,calculate the appropriate speed,and plan a reasonable driving route for the driver.To solve these problems,this paper proposes a trusted edge resource allocation framework for assisted driving service,which includes two stages:the blockchain generation stage(the first stage)and assisted driving service stage(the second stage).Furthermore,in the first stage,a delay-and-throughput-oriented block generation model for the mobile terminal is designed.In the second stage,a balanced offloading algorithm for assisted driving service based on edge collaboration is proposed to solve the problems of unbalanced load of cluster mobile edge computing(MEC)servers and low resource utilization of the system.And this paper optimizes the throughput of blockchain and delay of the transportation network through deep reinforcement learning(DRL)algorithm.Finally,compared with joint computation and communication resources’allocation(JCCR)and resource allocation method based on binary offloading(RAB),our proposed scheme can optimize the delay by 7.4%and 26.7%,and support various application services of the vehicular networks more effectively.Yuxuan Zhong Siya Xu Boxian Liao Jizhao Lu Huiping Meng Zhili Wang Xingyu Chen Qinghan Li 2023Computers, Materials & Continua2023,77,11:0
7Exploring ratiometric endolysosomal pH nanosensors with hydrophobic indicators responding at the nanoscale interface and multiple fluorescence resonance energy transfers显示文摘Compared with conventional water-soluble fluorescence probes,pH-sensitive fluorescent nanosensors based on hydrophobic indicators remain largely unexplored.We report here the unique pH response of the nanosensors with a hydrophobic indicator(Ch3,a Nile Blue derivative)in polymeric nanoparticles(NPs).At the aqueous-organic interface of the NPs,spectral overlap and dye accumulation caused significant Förster resonance energy transfer(FRET)not only between the protonated and deprotonated Ch3(hetero-FRET),but also between the protonated and deprotonated Ch3 themselves(homo-FRET).The pH response was simulated according to an interfacial response mechanism and the dynamic range was found to depend on the size of the NPs and dye distribution(Kp).Therefore,adjusting the size of the NPs and the local dye concentration gave rise to a series of dynamic sensing ranges with apparent pKa values from 2.7 to 9.6 based on a single indicator.The nanosensors were successfully delivered to HeLa cells to monitor subcellular pH values in the endosomes and lysosomes.Based on cellular calibrations,the average pH in the organelles were determined to be ca.4.7.Moreover,the pH neutralization process during lysosome membrane permeabilization(LMP)induced by hydrogen peroxide stimulation was also successfully visualized with the nanosensors.Qinghan Chen Jingying Zhai Jing Li Yifu Wang Xiaojiang Xie 2022Nano Research2022,15,4:0
8Deep Reinforcement Learning Empowered Edge Collaborative Caching Scheme for Internet of Vehicles显示文摘With the development of internet of vehicles,the traditional centralized content caching mode transmits content through the core network,which causes a large delay and cannot meet the demands for delay-sensitive services.To solve these problems,on basis of vehicle caching network,we propose an edge colla-borative caching scheme.Road side unit(RSU)and mobile edge computing(MEC)are used to collect vehicle information,predict and cache popular content,thereby provide low-latency content delivery services.However,the storage capa-city of a single RSU severely limits the edge caching performance and cannot handle intensive content requests at the same time.Through content sharing,col-laborative caching can relieve the storage burden on caching servers.Therefore,we integrate RSU and collaborative caching to build a MEC-assisted vehicle edge collaborative caching(MVECC)scheme,so as to realize the collaborative caching among cloud,edge and vehicle.MVECC uses deep reinforcement learning to pre-dict what needs to be cached on RSU,which enables RSUs to cache more popular content.In addition,MVECC also introduces a mobility-aware caching replace-ment scheme at the edge network to reduce redundant cache and improving cache efficiency,which allows RSU to dynamically replace the cached content in response to the mobility of vehicles.The simulation results show that the pro-posed MVECC scheme can improve cache performance in terms of energy cost and content hit rate.Xin Liu Siya Xu Chao Yang Zhili Wang Hao Zhang Jingye Chi Qinghan Li 2022Computer Systems Science & Engineering2022,42,7:0
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