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| 1 | Pattern and timing of late Cenozoic rapid exhumation and uplift of the Helan Mountain,China显示文摘The Helan Mountain, an intraplate deformation belt in the North China Craton, is located in the northern portion of the China North-South seismic belt, and at the northwestern margin of the Ordos Block. The Cenozoic deformation history of the Helan Mountain is characterized by extension along the eastern Helan Mountain fault (EHSF), resulting in the exhumation and uplift of the Helan Mountain, relative to the rifting of the adjacent Yinchuan Basin. Here we present new apatite fission track (AFT) data from several transects adjacent to the EHSF in the central and northern Helan Mountain. AFT ages from the northern Helan Mountain (Dawukou and Zhengyiguan transects) range from 10 Ma to 89 Ma, whereas AFT ages from the southern Helan Mountain (Suyukou transect) are greater than 71 Ma. The AFT data analysis reveals initiation of rapid uplift and exhumation of the Helan Mountain at 10–12 Ma. Additionally, a plot of the AFT ages versus their mean track length shows a distinctive 'boomerang' pattern indicating that the Helan Mountain experienced a discrete phase of accelerated exhumation beginning at 10-12 Ma. Spatially, AFT samples systematically increase in age away from the EHSF and are consistent with late Cenozoic exhumation that was slow in the southwestern Helan Mountain and rapid in the northeastern Helan Mountain, as well more rapid adjacent to the EHSF and slower away from the EHSF. Obviously, the spatial distribution of late Cenozoic exhumation indicates that normal faulting of the EHSF is related to southwestward tilting and rapid exhumation of the Helan Mountain beginning at 10–12 Ma. The uplift and exhumation of the Helan Mountain was a response to the intensive extension of the northwestern margin of the Ordos Block in the late Cenozoic; this occurred under a regional extensional stress field oriented NW-SE along the Yinchuan-Jilantai-Hetao and the Weihe-Shanxi graben systems adjacent to the Ordos Block. | LIU JianHui ZHANG PeiZhen ZHENG DeWen WAN JinLin WANG WeiTao DU Peng LEI QiYun | 2010 | Science China Earth Sciences2010，53，3： | 23 |
| 2 | CD147 antibody specifically and effectively inhibits infection and cytokine storm of SARS-CoV-2 and its variants delta,alpha,beta,and gamma显示文摘SARS-CoV-2 mutations contribute to increased viral transmissibility and immune escape,compromising the effectiveness of existing vaccines and neutralizing antibodies.An in-depth investigation on COVID-19 pathogenesis is urgently needed to develop a strategy against SARS-CoV-2 variants.Here,we identified CD147 as a universal receptor for SARS-CoV-2 and its variants.Meanwhile,Meplazeumab,a humanized anti-CD147 antibody,could block cellular entry of SARS-CoV-2 and its variants-alpha,beta,gamma,and delta,with inhibition rates of 68.7,75.7,52.1,52.1,and 62.3%at 60μg/ml,respectively.Furthermore,humanized CD147 transgenic mice were susceptible to SARS-CoV-2 and its two variants,alpha and beta.When infected,these mice developed exudative alveolar pneumonia,featured by immune responses involving alveoli-infiltrated macrophages,neutrophils,and lymphocytes and activation of IL-17 signaling pathway.Mechanistically,we proposed that severe COVID-19-related cytokine storm is induced by a'spike protein-CD147-CyPA signaling axis':Infection of SARS-CoV-2 through CD147 initiated the JAK-STAT pathway,which further induced expression of cyclophilin A(CyPA);CyPA reciprocally bound to CD147 and triggered MAPK pathway.Consequently,the MAPK pathway regulated the expression of cytokines and chemokines,which promoted the development of cytokine storm.Importantly,Meplazumab could effectively inhibit viral entry and inflammation caused by SARS-CoV-2 and its variants.Therefore,our findings provided a new perspective for severe COVID-19-related pathogenesis.Furthermore,the validated universal receptor for SARS-CoV-2 and its variants can be targeted for COVID-19 treatment. | Jiejie Geng Liang Chen Yufeng Yuan Ke Wang Youchun Wang Chuan Qin Guizhen Wu Ruo Chen Zheng Zhang Ding Wei Peng Du Jun Zhang Peng Lin Kui Zhang Yongqiang Deng Ke Xu Jiangning Liu Xiuxuan Sun Ting Guo Xu Yang Jiao Wu Jianli Jiang Ling Li Kun Zhang Zhe Wang Jing Zhang Qingguo Yan Hua Zhu Zhaohui Zheng Jinlin Miao Xianghui Fu Fengfan Yang Xiaochun Chen Hao Tang Yang Zhang Ying Shi Yumeng Zhu Zhuo Pei Fei Huo Xue Liang Yatao Wang Qingyi Wang Wen Xie Yirong Li Mingyan Shi Huijie Bian Ping Zhu Zhi-Nan Chen | 2021 | Signal Transduction and Targeted Therapy2021，6，10： | 6 |
| 3 | A critical epitope in CD147 facilitates memory CD4^(+) T-cell hyper-activation in rheumatoid arthritis显示文摘The abnormal activation of CD4^(+)CD45RO+memory T(Tm)cells plays an important role in the pathogenesis of rheumatoid arthritis(RA).Previous studies have shown that CD147 participates in T-cell activation.However,it remains unclear whether CD147 is involved in abnormal Tm-cell activation in RA patients.In this study,we demonstrated that CD147 was predominantly upregulated in Tm cells derived from RA patients.The anti-CD147 mAb 5A12 specifically inhibited Tm-cell activation and proliferation and further restrained osteoclastogenesis.Using a structural–functional approach,we depicted the interface between 5A12 and CD147.This allowed us to identify two critical residues,Lys63 and Asp65,as potential targets for RA treatment,as the double mutation K63A/D65A inhibited Tm-cell activation,mimicking the neutralization by 5A12.This study provides not only a theoretical basis for a“CD147-Tm/Osteoclast-RA chain”for the potential prevention and treatment of RA or other T-cell-mediated autoimmune diseases but also a new target for related drug design and development. | Na Guo Sheng Ye Kui Zhang Xiaoling Yu Hongyong Cui Xiangmin Yang Peng lin Minghua Lv Jinlin Miao Yang Zhang Qing Han Rongguang Zhang Zhinan Chen Ping Zhu | 2019 | Cellular & Molecular Immunology2019，16，6： | 6 |
| 4 | Risk Analysis of Big Data Based on Cloud Computing for the Inspection and Testing of Toxic and Hazardous Substances in Meat Products显示文摘Large-scale data emerge in food safety inspection and testing industry with the development of Internet technology in China.This paper was aimed at designing toxic and hazardous substance big data risk analysis algorithm in food safety inspection and testing based on cloud computing^([1]).Cloud computing platform was set up to store the massive extensive data with geographical distribution,dynamic and high complexity from the Internet,and MapReduce^([2]) computational framework in cloud computing was applied to process and compute parallel data.The risk analysis results were obtained by analyzing 1000000 meat products testing data collected from the laboratory management information system based on web.The results show that food safety index IFS < 1,which proves that the food safety state is in good condition. | Yajie WANG Jinlin HE Peng WANG Jiao DAI Bing YANG Hong TAN Guangcan TAO | 2017 | Asian Agricultural Research2017，9，8： | 4 |
| 5 | Searching for the Nano-Hertz Stochastic Gravitational Wave Background with the Chinese Pulsar Timing Array Data ReleaseⅠ显示文摘Observing and timing a group of millisecond pulsars with high rotational stability enables the direct detection of gravitational waves(GWs).The GW signals can be identified from the spatial correlations encoded in the times-of-arrival of widely spaced pulsar-pairs.The Chinese Pulsar Timing Array(CPTA)is a collaboration aiming at the direct GW detection with observations carried out using Chinese radio telescopes.This short article serves as a“table of contents”for a forthcoming series of papers related to the CPTA Data Release 1(CPTA DR1)which uses observations from the Five-hundred-meter Aperture Spherical radio Telescope.Here,after summarizing the time span and accuracy of CPTA DR1,we report the key results of our statistical inference finding a correlated signal with amplitude logA_(c)=-14.4_(-2.8)^(+1.0)for spectral index in the range ofα∈[-1.8,1.5]assuming a GW background(GWB)induced quadrupolar correlation.The search for the Hellings–Downs(HD)correlation curve is also presented,where some evidence for the HD correlation has been found that a 4.6σstatistical significance is achieved using the discrete frequency method around the frequency of 14 n Hz.We expect that the future International Pulsar Timing Array data analysis and the next CPTA data release will be more sensitive to the n Hz GWB,which could verify the current results. | Heng Xu Siyuan Chen Yanjun Guo Jinchen Jiang Bojun Wang Jiangwei Xu Zihan Xue RNicolas Caballero Jianping Yuan Yonghua Xu Jingbo Wang Longfei Hao Jingtao Luo Kejia Lee Jinlin Han Peng Jiang Zhiqiang Shen Min Wang Na Wang Renxin Xu Xiangping Wu Richard Manchester Lei Qian Xin Guan Menglin Huang Chun Sun Yan Zhu | 2023 | Research in Astronomy and Astrophysics2023，23，7： | 3 |
| 6 | A thermodynamic potential for barium zirconate titanate solid solutions显示文摘Barium zirconate titanate[Ba(ZrxTi_(1−x))O_(3)]solid solutions are promising lead-free ferroelectric materials that have received substantial interest.Thermodynamic analysis based on phenomenological Landau–Devonshire theory is a powerful method for theoretical investigation of ferroelectric materials,but cannot be applied to Ba(ZrxTi1−x)O3 because there is no thermodynamic potential.In this paper,a thermodynamic potential for Ba(ZrxTi_(1−x))O_(3)(0≤x≤0.3)solid solutions is constructed,and then a thermodynamic analysis carried out.The results accurately reproduce known phase structures and their transition temperatures,with good agreement with experimentally measured polarization,dielectric,and piezoelectric constants.It is found that Ba(ZrxTi_(1−x))O_(3) solid solutions at room temperature have three phase boundaries,including a tetragonal–orthorhombic phase boundary at x=0.013,an orthorhombic–rhombohedral phase boundary at x=0.0798,and a rhombohedral–paraelectric phase boundary at x=0.2135.The results also indicate that the chemical composition-induced ferroelectric–paraelectric phase boundary has superior electromechanical properties,suggesting a new way to enhance electromechanical coupling in Ba(ZrxTi_(1−x))O_(3) solid solutions. | Jinlin Peng Dongliang Shan Yunya Liu Kai Pan Chihou Lei Ningbo He Zhenyu Zhang Qiong Yang | 2018 | npj Computational Materials2018，，1： | 3 |
| 7 | Carbon-based flexible self-supporting cathode for lithium-sulfur batteries:Progress and perspective显示文摘The flexible self-supporting electrode can maintain good mechanical and electrical properties while retaining high specific capacity,which meets the requirements of flexible batteries.Lithium-sulfur batteries(LSBs),as a new generation of energy storage system,hold much higher theoretical energy density than traditional batteries,and they have attracted extensive attention from both the academic and industrial communities.Selection of a proper substrate material is important for the flexible self-supporting electrode.Carbon materials,with the advantages of light weight,high conductivity,strong structural plasticity,and low cost,provide the electrode with a large loading space for the active material and a conductive network.This makes the carbon materials meet the mechanical and electrochemical requirements of flexible electrodes.In this paper,the commonly used fabrication methods and recent research progresses of the flexible self-supporting cathode with a carbon material as the substrate are introduced.Various sulfur loading methods are summarized,which provides useful information for the structural design of the cathode.As the first review article of the carbon-based flexible self-supporting LSB cathodes,it provides valuable guidance for the researchers working in the field of LSB. | Qinghuiqiang Xiao Jinlin Yang Xiaodong Wang Yirui Deng Peng Han Ning Yuan Lei Zhang Ming Feng Chang‐an Wang Ruiping Liu | 2021 | Carbon Energy2021，3，2： | 3 |
| 8 | 96-Week Treatment of Tenofovir Amibufenamide and Tenofovir Disoproxil Fumarate in Chronic Hepatitis B Patients显示文摘Background and Aims:Tenofovir amibufenamide(TMF)is a novel phosphoramidated prodrug of tenofovir with nonin-ferior efficacy and better bone and renal safety to tenofovir disoproxil fumarate(TDF)in 48 weeks of treatment.Here,we update 96-week comparison results.Methods:Patients with chronic hepatitis B were assigned(2:1)to receive either 25 mg TMF or 300 mg TDF with matching placebo for 96 weeks.The virological suppression was defined as HBV DNA levels<20 IU/mL at week 96.Safety was evaluated thoroughly with focusing on bone,renal,and metabolic pa-rameters.Results:Virological suppression rates at week 96 were similar between TMF and TDF group in both HBeAg-positive and HBeAg-negative populations.Noninferior efficacy was maintained in the pooled population,while it was first achieved in patients with HBV DNA≥7 or 8 log10 IU/mL at baseline.Non-indexed estimated glomerular filtration rate for renal safety assessment was adopted,while a smaller decline of which was seen in the TMF group than in the TDF group(p=0.01).For bone mineral density,patients receiv-ing TMF displayed significantly lower reduction levels in the densities of spine,hip,and femur neck at week 96 than those receiving TDF.In addition,the lipid parameters were stable after week 48 in all groups while weight change still showed the opposite trend.Conclusions:TMF maintained similar efficacy at week 96 compared with TDF with continued superior bone and renal safety profiles(NCT03903796). | Zhihong Liu Qinglong Jin Yuexin Zhang Guozhong Gong Guicheng Wu Lvfeng Yao Xiaofeng Wen Zhiliang Gao Yan Huang Daokun Yang Enqiang Chen Qing Mao Shide Lin Jia Shang Huanyu Gong Lihua Zhong Huafa Yin Fengmei Wang Peng Hu Qiong Wu Chao Pan Wen Jia Chuan Li Chang’an Sun Junqi Niu Jinlin Hou TMF Study Group | 2023 | Journal of Clinical and Translational Hepatology2023，11，3： | 3 |
| 9 | An unconventional phase field modeling of domains formation and evolution in tetragonal ferroelectrics显示文摘Based on characteristic functions of variants, we developed an unconventional phase field modeling for investigating domains formation and evolution in tetragonal ferroelectrics. In order to develop this computational approach, we constructed the anisotropy energy of tetragonal variants, which is used instead of Landau-Devonshire potential in the conventional phase field method, resulting in that much fewer parameters are needed for simulations. This approach is advantageous in simulations of emerging ferroelectric materials. We employ it to study the formation and evolution of domains in tetragonal barium titanate single crystal, as well as the nonlinear behaviors under cyclical stress and electric field loading. A multi-rank laminated ferroelectric domain pattern, 90° domain switching accompanied by polarization rotation, and 180° domain switching accompanied by move of domain wall are predicted. It is found that the speed of 90° domain switching is slower than that of 180° domain switching, due to both polarization and transformation strain changed in 90° domain switching. It also suggests that large strain actuation can be generated in single crystal ferroelectrics via combined electromechanical loading inducing 90° domain switching. The good agreement between simulation results and experimental measurements is observed. | ZHOU YouGang PENG JinLin PAN Kai LIU YunYa | 2016 | Science China(Technological Sciences)2016，59，7： | 2 |
| 10 | The Geological Significance of the Deformation and Geochronology of the Xiaotian–Mozitan Shear Zone in the Dabie Orogenic Belt(East-Central China)显示文摘The Xiaotian–Mozitan Shear Zone(XMSZ)is the boundary of the Dabie High-grade Metamorphic Complex(DHMC)and the North Huaiyang Tectonic Belt.It was deformed in ductile conditions with a top-to-NW/WNW movement.Geothermometers applied to mineral parageneses in mylonites of the shear zone give a temperature range of 623–691°C for the predeformation and 515–568°C for the syndeformation,respectively,which indicates a retrograde process of evolution.A few groups of zircon U-Pb ages were obtained from undeformed granitic veins and different types of deformed rocks in the zone.Zircons from the felsic ultramylonites are all magmatic,producing a weighted mean 206Pb/238U age of 754±8.1 Ma,which indicates the time of magmatic activities caused by rifting in the Neoproterozoic.Zircons from the granitic veins,cutting into the mylonites,are also of magmatic origin,producing a weighted mean 206 Pb/238 U age of 130±2.5 Ma,which represents the time of regional magmatic activity in the Cretaceous.Zircons from the mylonitic gneisses are of anatectic-metamorphic origins and are characterized by a core-mantle interior texture,which yielded several populations of ages including the Neoproterozoic ages with a weighted mean 206 Pb/238 U age of 762±18 Ma,similar to that of the felsic ultramylonites and the Early Cretaceous ages with a weighted mean 206Pb/238U age of 143±1.8 Ma,indicating the anatectic metamorphism in the Dabie Orogenic Belt(DOB).Based on integrated analysis of the structure,thermal conditions of ductile deformation and the contact relations of the dated rocks,the activation time of the Xiaotian–Mozitan Shear Zone is constrained between~143 Ma and 130 Ma,during which the DOB was undergoing a transition in tectonic regime from compression to extension.Therefore,the deformation and evolution of this shear zone plays an instrumental role in fully understanding this process.This research also inclines us to the interpretation of it as an extensional detachment,with regard to the tectonic properties of the shear zone.It may also be part of a continental scale extension in the background of the North China Block’s cratonic destruction,dominated by the subduction and roll-back of the Paleo-Pacific plate,but more detailed work is needed in order to unravel its complicated development. | HUANG Peng SONG Chuanzhong XIAO Wenjiao LI Jiahao ZHOU Kefa WANG Jinlin NIJIATI Abuduxun LI Zhenwei | 2021 | Acta Geologica Sinica(English Edition)2021，95，2： | 1 |
| 11 | Rapid identification of two-dimensional materials via machine learning assisted optic microscopy显示文摘A combination of Fresnel law and machine learning method is proposed to identify the layer counts of 2D materials.Three indexes,which are optical contrast,red-green-blue,total color difference,are presented to illustrate and simulate the visibility of 2D materials on Si/SiO_(2) substrate,and the machine learning algorithms,which are k-mean clustering and k-nearest neighbors,are employed to obtain thickness database of 2D material and test the optical images of 2D materials via red-green-blue index.The results show that this method can provide fast,accurate and large-area property of 2D material.With the combination of artificial intelligence and nanoscience,this machine learning assisted method eases the workload and promotes fundamental research of 2D materials. | Yuhao Li Yangyang Kong Jinlin Peng Chuanbin Yu Zhi Li Penghui Li Yunya Liu Cun-Fa Gao Rong Wu | 2019 | Journal of Materiomics2019，5，3： | 1 |
| 12 | Serum HBsAg changes in HBeAg positive chronic hepatitis B patients with continuous viral load reductions during treatment with adefovir or peg-interferon-α-2a显示文摘 | Jinjun Chen Zhanhui Wang Yabing Guo Jie Peng Jian Sun Choudhary Shoaib Ahmed Yuanping Zhou Jinlin Hou | 2008 | Antiviral Research2008，，1： | 1 |
| 13 | Expert Consensus on Diagnosis and Treatment of End-Stage Liver Disease Complicated with Infections显示文摘End-stage liver disease(ESLD)is a life-threatening clinical syndrome that markedly increases mortality in patients with infections.In patients with ESLD,infections can induce or aggravate the occurrence of liver decompensation.Consequently,infections are among the most common complications of disease progression.There is a lack of working procedure for early diagnosis and appropriate management for patients with ESLD complicated by infections as well as local and international guidelines or consensus.This consensus assembled up-to-date knowledge and experience across Chinese colleagues,providing data on principles as well as working procedures for the diagnosis and treatment of patients with ESLD complicated by infections. | Qin Ning Tao Chen Guiqiang Wang Dong Xu Yanyan Yu Qing Mao Taisheng Li Lanjuan Li Jun Li Xiaoju Lu Jiabin Li Zhiwei Li Wenhong Zhang Yonghong Xiao Qinghua Meng Yuqiang Mi Jia Shang Yunsong Yu Yingren Zhao Caiyan Zhao Hong Zhao Jianrong Huang Jie Peng Hong Tang Xiaoping Tang Jinhua Hu Bijie Hu Wei Guo Bo Zheng Baiyi Chen Yuexin Zhang Jia Wei Jifang Sheng Zhi Chen Minggui Wang Qing Xie Yuming Wang Fu-Sheng Wang Jinlin Hou Zhongping Duan Lai Wei Jidong Jia Chinese Society of Infectious Disease of Chinese Medical Association | 2022 | Infectious Diseases & Immunity2022，2，3： | 0 |
| 14 | High Spin States and Magnetic Rotational Band in ^(85)Zr显示文摘The transitional nuclei in mass 80 region show a single particle and collective structure. It is dominated in low and medium spin by single particle nature and become more collective at high spin states for Z=37-40, N=45 nuclei, such as 81Kr and 87Mo.Recently in-beam y-ray spectroscopy study of transitional nuclei, such as 83Rb and 83Y, reveales a decay sequences built on high k state with enhanced ΔI=1 Ml transitions. It is interpreted in teams of a novel type of excitation, called ' magnetic rotation'. Our purpose is to study levels up to higher spin and to search for the magnetic band in 85Zr.High spin states of 85Zr were populated using 60N (28Si, 2pn)85Zr reaction with the beam | WEN Shu-xian, WANG Zhi-min, WU Xiao-gan, PENG Zhao-hua, LI Guang-sheng, YUAN Guan-jun, WENG Pei-kun, YANG Chun-xiang, MA Ying-jun, LU Jing-bin, GUO Ying-xiang, LEI Xian-guo(Department of Physics, University of Jinlin, Changchun 130023 Institute of Modern Physics, The Chinese Academy of Sciences, Lanzhou 730000) | 2001 | Annual Report of China Institute of Atomic Energy2001，，0： | 0 |
| 15 | Research on the Influence of Different Psychological Defense Mechanisms on the Psychology of Students显示文摘The contradiction between id and ego is the root cause of various problems in the growth process of students.On the basis of understanding the functions of different psychological defense mechanisms,teachers can assist students in dealing with all areas of inner conflict and thus achieve a balanced state.Psychological defense mechanism is one of the means for individuals to deal with setbacks and anxiety.It plays an important role in preserving an individual's mental health.This paper mainly analyzes the impact of different types of psychological defense mechanisms in the growth process of students and discusses its importance as well as its significance.Finally,by analyzing its influencing factors,this paper also proposes strategies for adjusting the psychological defense mechanism,so as to provide reference for teachers in the practical education process. | Qingfeng Tang Jinlin Peng | 2022 | Journal of Contemporary Educational Research2022，6，5： | 0 |
| 16 | Architecture for Cellular Enabled Integrated Communication and Sensing Services显示文摘There is growing interest in the integrated sensing and communication(ISAC)to extend the 5G+/6G network capabilities by introducing sensing capability.While the solutions for mono-static or bi-static ISAC have shown feasibility and benefits based on existing 5G physical layer design,whether and how to coordinate multiple ISAC devices to better exert networking performance are rarely discussed.3 rd Partnership Project(3GPP)has initiated the ISAC use cases study,and the follow-up studies for network architecture could be anticipated.In this article,we focus on gNB-based sensing mode and propose ISAC functional framework with given of highlevel service procedures to enable cellular based ISAC services.In the proposed ISAC framework,three types of network functions for sensing service as Sensing Function(SF),lightweight-Edge Sensing Function(ESF)and full-version-ESF are designed with interaction with network nodes to fulfill the latency requirements of ISAC use cases.Finally,with simulation evaluations and hardware testbed results,we further verify the performance benefit and feasibility to enable ISAC in 5G for the gNB-based sensing mode with new design on SF and related signaling protocols. | Bo Liu Qixun Zhang Zheng Jiang Dongsheng Xue Chenlong Xu Bowen Wang Xiaoming She Jinlin Peng | 2023 | China Communications2023，20，9： | 0 |
| 17 | Pt-confinement catalyst with dendritic hierarchical pores on excellent sulfur-resistance for hydrodesulfurization of dibenzothiophene and 4,6-dimethyldibenzothiophene显示文摘Metal confinement catalyst Mo S_(2)/Pt@TD-6%Ti(TD,TS-1/Dendritic mesoporous silica nanoparticles composite) in dendritic hierarchical pore structures was synthesized and showed excellent sulfur-resistance performance and stabilities in catalytic hydrodesulfurization reactions of probe sulfide molecules.The Mo S_(2)/Pt@TD-6%Ti catalyst combines the concepts of Pt-confinement effect and hydrogen spillover of Pt noble metal.The modified micropores of Mo/Pt@TD-6%Ti only allow the migration and dissociation of small H_(2) molecules(0.289 nm),and effectively keep the sulfur-containing compounds(e.g.H_(2)S,0.362 nm) outside.Thus,the Mo S_(2)/Pt@TD-6%Ti catalyst exhibits higher DBT and 4,6-DMDBT HDS activities because of the synergistic effect of the strong H_(2) dissociation ability of Pt and desulfurization ability of Mo S_(2) with a lower catalyst cost.This new concept combining H2dissociation performance of noble metal catalyst with the desulfurization ability of transition metal sulfide Mo S_(2) can protect the noble metal catalyst avoiding deactivation and poison,and finally guarantee the higher activities for DBT and 4,6-DMDBT HDS. | Xilong Wang Chengkun Xiao Mohnnad H.Alabsi Peng Zheng Zhengkai Cao Jinlin Mei Yu Shi Aijun Duan Daowei Gao Kuo-Wei Huang Chunming Xu | 2022 | Green Energy & Environment2022，7，2： | 0 |
| 18 | A Review of Deep Learning-Based Vulnerability Detection Tools for Ethernet Smart Contracts显示文摘In recent years,the number of smart contracts deployed on blockchain has exploded.However,the issue of vulnerability has caused incalculable losses.Due to the irreversible and immutability of smart contracts,vulnerability detection has become particularly important.With the popular use of neural network model,there has been a growing utilization of deep learning-based methods and tools for the identification of vulnerabilities within smart contracts.This paper commences by providing a succinct overview of prevalent categories of vulnerabilities found in smart contracts.Subsequently,it categorizes and presents an overview of contemporary deep learning-based tools developed for smart contract detection.These tools are categorized based on their open-source status,the data format and the type of feature extraction they employ.Then we conduct a comprehensive comparative analysis of these tools,selecting representative tools for experimental validation and comparing them with traditional tools in terms of detection coverage and accuracy.Finally,Based on the insights gained from the experimental results and the current state of research in the field of smart contract vulnerability detection tools,we suppose to provide a reference standard for developers of contract vulnerability detection tools.Meanwhile,forward-looking research directions are also proposed for deep learning-based smart contract vulnerability detection. | Huaiguang Wu Yibo Peng Yaqiong He Jinlin Fan | 2024 | Computer Modeling in Engineering & Sciences2024，140，7： | 0 |
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