|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A dendrite-free Li plating host towards high utilization of Li metal anode in Li–O_2 battery显示文摘The intense interest of Li–O_2 battery stems from its ultrahigh theoretical energy density, but its application is still hindered by the issues of Li anode. Herein, RuO_2-CNTs composite, a conventional O_2 cathode catalyst in Li–O_2 battery, is first utilized as an anode host for dendrite-free Li plating/stripping with high Coulombic efficiency. It is demonstrated that such excellent plating/stripping performance arises from the lithiophilicity characteristic of Ru nanoparticles(that is derived from the in-situ electrochemical conversion from RuO_2 to Ru/Li_2O) and buffer space provided by CNTs. Furthermore, the RuO_2-CNTs electrode pre-deposited with limited Li(RuO_2-CNTs@Li anode) is coupled with a RuO_2-CNTs catalytic cathode to form a Li–O_2 full cell, which displays an extended cycle life with dramatically improved energy density.The achieved cell shows a high stability of 200 cycles with RuO_2-CNTs@Li anode(1 mg Li) that sheds light on the efficient utilization of Li anode in Li–O_2 batteries. | Chao Li Jishi Wei Panlong Li Wenfei Tang Wuliang Feng Jingyuan Liu Yonggang Wang Yongyao Xia | 2019 | Science Bulletin2019，64，7： | 3 |
| 2 | An Automatic Method for Generating an Unbiased Intensity Normalizing Factor in Positron Emission Tomography Image Analysis After Stroke显示文摘Positron emission tomography(PET) imaging of functional metabolism has been widely used to investigate functional recovery and to evaluate therapeutic efficacy after stroke. The voxel intensity of a PET image is the most important indicator of cellular activity, but is affected by other factors such as the basal metabolic ratio of each subject. In order to locate dysfunctional regions accurately,intensity normalization by a scale factor is a prerequisite in the data analysis, for which the global mean value is most widely used. However, this is unsuitable for stroke studies.Alternatively, a specified scale factor calculated from a reference region is also used, comprising neither hyper-nor hypo-metabolic voxels. But there is no such recognized reference region for stroke studies. Therefore, we proposed a totally data-driven automatic method for unbiased scale factor generation. This factor was generated iteratively until the residual deviation of two adjacent scale factors was reduced by < 5%. Moreover, both simulated and real stroke data were used for evaluation, and these suggested that our proposed unbiased scale factor has better sensitivity and accuracy for stroke studies. | Binbin Nie Shengxiang Liang Xiaofeng Jiang Shaofeng Duan Qi Huang Tianhao Zhang Panlong Li Hua Liu Baoci Shan | 2018 | Neuroscience Bulletin2018，34，5： | 2 |
| 3 | PPARγ suppression inhibits adipogenesis but does not promote osteogenesis of human mesenchymal stem cells显示文摘 | Wei-Hua Yu Fu-Gui Li Xiao-Yong Chen Jian-Tao Li Yan-Heng Wu Li-Hua Huang Zhen Wang Panlong Li Tao Wang Bruce T. Lahn Andy Peng Xiang | 2011 | International Journal of Biochemistry and Cell Biology2011，，2： | 1 |
| 4 | Synergistic Effects of Salt Concentration and Working Temperature towards Dendrite-Free Lithium Deposition显示文摘The lithium-(Li-)metal anode is crucial for developing high-energy-density batteries,while its dendritic growth and the low charge/discharge Coulombic efficiency in organic electrolytes hinder its practical application.Herein,we employed an in situ optical microscope to investigate the effect of the electrolyte concentration and the working temperature on the Li-plating/-stripping process.It is found that a higher concentration electrolyte can suppress its side reaction to improve the charge/discharge Coulombic efficiency,and a higher temperature can help lithium plate/strip uniformly with less lithium dendritic growth.An average Coulombic efficiency was obtained as high as 99.2%for over 150 cycles with a fixed plating capacity of 2 mAh cm^(-2) on copper foil in a 3 mol/kg ether-based electrolyte under 60℃,which provides an efficient and facile strategy for developing high-performance Li-metal batteries. | Panlong Li Chao Li Yang Yang Chanyuan Zhang Renhe Wang Yao Liu Yonggang Wang Jiayan Luo Xiaoli Dong Yongyao Xia | 2019 | Research2019，，1： | 1 |
| 5 | Passive Multi-sensor Maneuve- ring Target Tracking Based on UKF-IMM Algorithm 显示文摘 | Panlong Wu Xingxiu Li | 2009 | Proceedings of the 2009 WASE International Conference on Information Engineering2009，，： | 1 |
| 6 | The clinical implication of gamma-glutamyl transpeptidase in COVID-19显示文摘Background and aim:Coronavirus disease 2019(COVID-19)is a life-threatening disease that predomi-nantly causes respiratory failure.The impact of COVID-19 on other organs remains elusive.Herein,we aimed to investigate the effects of COVID-19 on the hepatobiliary system.Methods:In the current study,we obtained the clinical records and laboratory results from 66 laboratory-confirmed patients with COVID-19 at the Wuhan Tongji Hospital between 10 February 2020 and 28 February 2020.The detailed clinical features and laboratory findings were collected for analysis.Bioinformatics analysis was conducted to evaluate the correlation between gamma-glutamyl transferase(GGT)and severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)entry receptor angiotensin-converting enzyme 2(ACE2).Results:In this cohort,30(51.7%)patients had abnormal liver function on admission,which was asso-ciated with disease severity and enriched in the male and diabetic patients.The elevated levels of direct bilirubin(P¼0.029)and GGT(P¼0.004)were common in patients with severe pneumonia when compared with those with mild pneumonia.In addition,elevated levels of GGT(P¼0.003)and aspartate aminotransferase(AST)(P¼0.007)were positively associated with longer hospital stay.The expression of ACE2 was closely associated with GGT in various human tissues because they shared the common transcriptional regulator hepatic nuclear factor-1 b(HNF1B).Conclusions:Increased GGT levels were common in severe cases and elevated GGT levels were positively associated with prolonged hospital stay and disease severity.Due to the consistent expression with ACE2,GGT is a potent biomarker indicating the susceptibility of SARS-CoV-2 infection. | Jianrong Liu Chao Yu Qing Yang Xiaofeng Yuan Fan Yang Panlong Li Guihua Chen Weicheng Liang Yang Yang | 2021 | Liver Research2021，5，4： | 0 |
| 7 | Simultaneously Effi cient Solar Light Harvesting and Charge Transfer of Hollow Octahedral Cu_(2)S/CdS p-n Heterostructures for Remarkable Photocatalytic Hydrogen Generation显示文摘Solar-driven water splitting is a promising alternative to industrial hydrogen production.This study reports an elaborate design and synthesis of the integration of cadmium sulfi de(CdS)quantum dots and cuprous sulfi de(Cu_(2)S)nanosheets as three-dimensional(3D)hollow octahedral Cu_(2)S/CdS p-n heterostructured architectures by a versatile template and one-pot sulfi dation strategy.3D hierarchical hollow nanostructures can strengthen multiple refl ections of solar light and provide a large specifi c surface area and abundant reaction sites for photocatalytic water splitting.Owing to the construction of the p-n heterostructure as an ideal catalytic model with highly matched band alignment at Cu_(2)S/CdS interfaces,the emerging internal electric fi eld can facilitate the space separation and transfer of photoexcited charges between CdS and Cu_(2)S and also enhance charge dynamics and prolong charge lifetimes.Notably,the unique hollow Cu_(2)S/CdS architectures deliver a largely enhanced visible-light-driven hydrogen generation rate of 4.76 mmol/(g·h),which is nearly 8.5 and 476 times larger than that of pristine CdS and Cu_(2)S catalysts,respectively.This work not only paves the way for the rational design and fabrication of hollow photocatalysts but also clarifi es the crucial role of unique heterostructure in photocatalysis for solar energy conversion. | Yanting Zhang Lei Ran Zhuwei Li Panlong Zhai Bo Zhang Zhaozhong Fan Chen Wang Xiaomeng Zhang Jungang Hou Licheng Sun | 2021 | Transactions of Tianjin University2021，27，4： | 0 |
| 8 | Improving path planning efficiency for underwater gravity-aided navigation based on a new depth sorting fast search algorithm显示文摘This study focuses on the improvement of path planning efficiency for underwater gravity-aided navigation.Firstly,a Depth Sorting Fast Search(DSFS)algorithm was proposed to improve the planning speed of the Quick Rapidly-exploring Random Trees*(Q-RRT*)algorithm.A cost inequality relationship between an ancestor and its descendants was derived,and the ancestors were filtered accordingly.Secondly,the underwater gravity-aided navigation path planning system was designed based on the DSFS algorithm,taking into account the fitness,safety,and asymptotic optimality of the routes,according to the gravity suitability distribution of the navigation space.Finally,experimental comparisons of the computing performance of the ChooseParent procedure,the Rewire procedure,and the combination of the two procedures for Q-RRT*and DSFS were conducted under the same planning environment and parameter conditions,respectively.The results showed that the computational efficiency of the DSFS algorithm was improved by about 1.2 times compared with the Q-RRT*algorithm while ensuring correct computational results. | Xiaocong Zhou Wei Zheng Zhaowei Li Panlong Wu Yongjin Sun | 2024 | Defence Technology(防务技术)2024，32，2： | 0 |
| 9 | Seismic ahead-prospecting based on deep learning of retrieving seismic wavefield显示文摘Unknown geology ahead of the tunnel boring machine(TBM)brings a large safety risk for tunnel construction.Seismic ahead-prospecting using TBM drilling noise as a source can achieve near-real-time detection,meeting the requirements of TBM rapid drilling.Seismic wavefield retrieval is the key data processing step for the efficient utilization of TBM drilling noise.The traditional solution is based on cross-correlation to extract reflected waves,but the reference waves remain in the result,disturbing the imaging and interpre-tation of the adverse geology.To solve this problem,the deep learning method was introduced in wavefield retrieval to improve the accu-racy of geological prospecting.We trained a deep neural network(DNN)with its strong nonlinear mapping capability to transform seismic data from TBM drilling noise to data from the active source.The issue lies in its features for this specific tunnel task,including the decay of the seismic signal with time and the incomplete spatial correspondence.Thus,we improved a classical DNN with the time constraint as an additional input,and an additional pre-decoder to enlarge the receptive field.Additionally,a loss function weighted by the ground truth and time constraint is improved to achieve an accurate retrieval of the effective signal,considering the little effective information in tunnel data.Finally,the workflow of the proposed method was given,and a dataset designed with reference to the field case was employed to train the network.The proposed method accurately retrieved the reflection signal with higher dominant frequen-cies,which helped improve the accuracy of imaging.Numerical simulations and imaging on typical geological models show that the pro-posed method can suppress reference waves and get more accurate results with fewer artifacts.The proposed method has been applied in the Gaoligongshan Tunnel and imaged two abnormal zones,providing meaningful geological information for TBM drilling and tunnel construction. | Lei Chen Senlin Yang Lei Guo Panlong Zhang Kai Li Wei Shao Xinji Xu ⇑Fahe Sun | 2023 | Underground Space2023，，4： | 0 |
| 10 | The pathway toward practical application of lithium-metal anodes for non-aqueous secondary batteries显示文摘The revolution of automotive vehicles(from petrol vehicles to electric vehicles)has set high demands for the performance of batteries.Lithium-metal batteries(LMBs)show great potential owing to their high energy density but encounter poor cycle life and safety issues.It is of great significance to reveal LMB failure mechanisms and understand their relationship with battery performance.This review presents an overview of the state-of-the-art Li-metal anodes,with an emphasis on two typical failure modes:capacity degradation and dendritic growth of Li metal.The critical correlations between the composition,structure and failure are explained point by point.The chemical and electrochemical stabilities of the lithium anode are discussed.Particularly,for the first time,five types of lithium-metal anodes are classified to develop a comprehensive understanding of LMBs.Furthermore,strategies are suggested to improve the practical performance of LMBs,including material innovation,electrolyte modification and advanced characterization. | Panlong Li Zhong Fang Xiaoli Dong Congxiao Wang Yongyao Xia | 2022 | National Science Review2022，9，8： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员