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| 1 | Unintentional forking analysis in wireless blockchain networks显示文摘The forking problem plays a key role in the security issue,which is a major concern in the blockchain system.Although many works studied the attack strategy,consensus mechanism,privacy-protecting and security performance analysis,most of them only address the intentional forking caused by a malicious attacker.In fact,without any attacker,unintentional forking still remains due to transmission delay and failure,especially in wireless network scenarios.To this end,this paper investigates the reason for generating unintentional forking and derives the forking probability expression in Wireless Blockchain Networks(WBN).Furthermore,in order to illustrate the unintentional forking on the blockchain system,the performances in terms of resource utilization rate,block generation time,and Transaction Per Second(TPS)are investigated.The numerical results show that the target difficulty of hash algorithm in generating a new block,the delay time of broadcasting,the network scale,and the transmission failure probability would affect the unintentional forking probability significantly,which can provide a reliable basis for avoiding forking to save resource consumption and improving system performance. | Qilie Liu Yinyi Xu Bin Cao Lei Zhang Mugen Peng | 2021 | Digital Communications and Networks2021，7，3： | 3 |
| 2 | Validation for equation of state in wide regime:Copper as prototype显示文摘In this paper we introduce the wide regime equation of state(WEOS)developed in Institute of Applied Physics and Computational Mathematics(IAPCM).A semi-empirical model of the WEOS is given by a thermodynamically complete potential of the Helmholtz free energy which combines several theoretical models and has some adjustable parameters calibrated via some experimental and theoretical data.The validation methods of the equation of state in wide regime are presented using copper as a prototype.The results of the WEOS are well consistent with the available theoretical and experimental data,including ab initio cold curve under compression,isotherm,Hugoniot,off-Hugoniot and sound velocity data.It enhances our confidence in the accuracy of the WEOS,which is very important for the validation and verification of equation of state in high temperature and pressure technology. | Haifeng Liu Haifeng Song Qili Zhang Gongmu Zhang Yanhong Zhao | 2016 | Matter and Radiation at Extremes2016，1，2： | 3 |
| 3 | Clay nanosheet-mediated delivery of recombinant plasmids expressing artificial miRNAs via leaf spray to prevent infection by plant DNA viruses显示文摘Whitefly-transmitted begomoviruses are economically important plant pathogens that cause severe problems in many crop plants,such as tomato,papaya,cotton,and tobacco.Tomato yellow leaf curl virus(TYLCV)is a typical monopartite begomovirus that has been extensively studied,but methods that can efficiently control begomoviruses are still scarce.In this study,we combined artificial microRNA(amiRNA)-mediated silencing technology and clay nanosheetmediated delivery by spraying and developed a method for efficiently preventing TYLCV infection in tomato plants.We designed three amiRNAs that target different regions of TYLCV to silence virus-produced transcripts.Three plant expression vectors expressing pre-amiRNAs were constructed,and recombinant plasmid DNAs(pDNAs)were loaded onto nontoxic and degradable layered double hydroxide(LDH)clay nanosheets.LDH nanosheets containing multiple pDNAs were sprayed onto plant leaves.We found that the designed amiRNAs were significantly accumulated in leaves 7 days after spraying,while the pDNAs were sustainably detected for 35 days after the spray,suggesting that the LDH nanosheets released pDNAs in a sustained manner,protected pDNAs from degradation and efficiently delivered pDNAs into plant cells.Importantly,when the LDH nanosheets coated with pDNAs were sprayed onto plants infected by TYLCV,both the disease severity and TYLCV viral concentration in sprayed plants were significantly decreased during the 35 days,while the levels of H_(2)O_(2) were significantly increased in those plants.Taken together,these results indicate that LDH nanosheets loaded with pDNAs expressing amiRNAs can be a sustainable and promising tool for begomovirus control. | Qili Liu Yanpeng Li Kedong Xu Dongxiao Li Haiyan Hu Feng Zhou Puwen Song Yongang Yu Qichao Wei Qian Liu Weipeng Wang Ruifang Bu Haili Sun Xiaohui Wang Jianjun Hao Honglian Li Chengwei Li | 2020 | Horticulture Research2020，7，1： | 1 |
| 4 | Detection and Prevention of Environmental Hormone显示文摘The sorts and detection methods of environmental hormone were analyzed firstly,and then the effects of environmental hormone on organisms and humanity were discussed. Finally the control measures of environmental hormone pollution,such as reducing the use of goods and pesticide and the study of new substitutes and degradation technology are advanced. | Qili Chen Ling Pan Yanhong Xv Xuan Fu Hongzhen Sun Hongyan Li Pingping Liu | 2013 | Meteorological and Environmental Research2013，4，12： | 1 |
| 5 | PCR and oligonucleotide array for detection of Enterobacter sakazakii in infant formula 显示文摘 | YIN LIU QILI GAO XIA ZHANG | 2006 | Molecular and Cellular Probes2006，，20： | 1 |
| 6 | PCR and oligonucle- otide array for detection of Enterobacter sakazakii in infant formula显示文摘 | LIU YIN GAO QILI ZHANG XIA | 2006 | Molecular and Cellular Probes2006，20，1： | 1 |
| 7 | Metabolic engineering using acetate as a promising building block for the production of bio‐based chemicals显示文摘The production of biofuels and biochemicals derived from microbial fermentation has received a lot of attention and interest in light of concerns about the depletion of fossil fuel resources and climatic degeneration.However,the economic viability of feedstocks for biological conversion remains a barrier,urging researchers to develop renewable and sustainable low-cost carbon sources for future bioindustries.Owing to the numerous advantages,acetate has been regarded as a promising feedstock targeting the production of acetyl-CoA-derived chemicals.This review aims to highlight the potential of acetate as a building block in industrial biotechnology for the production of bio-based chemicals with metabolic engineering.Different alternative approaches and routes com-prised of lignocellulosic biomass,waste streams,and C1 gas for acetate generation are briefly described and evaluated.Then,a thorough explanation of the metabolic pathway for biotechnological acetate conversion,cel-lular transport,and toxin tolerance is described.Particularly,current developments in metabolic engineering of the manufacture of biochemicals from acetate are summarized in detail,with various microbial cell factories and strategies proposed to improve acetate assimilation and enhance product formation.Challenges and future development for acetate generation and assimilation as well as chemicals production from acetate is eventually shown.This review provides an overview of the current status of acetate utilization and proves the great potential of acetate with metabolic engineering in industrial biotechnology. | Guiping Gong Bo Wu Linpei Liu Jianting Li Qili Zhu Mingxiong He Guoquan Hu | 2022 | Engineering Microbiology2022，2，4： | 1 |
| 8 | Insight into the critical factors determining the particle number concentrations during summer at a megacity in China显示文摘To identify the critical factors impacting the number concentration of particles with the aerodynamic diameters less than 2.5 μm(PNC_(2.5)), the continuous measurement of PNC_(2.5),chemical components in PM_(2.5), gaseous pollutants and meteorological conditions were conducted at an urban site in Tianjin in June 2015. Results indicated that the average PNC_(2.5) was 2839 ± 2430 d N/dlog Dp 1/cm^3 during the campaign. Compared to other meteorological parameters, the relative humidity(RH) had the strongest relationship with PNC_(2.5), with a Pearson's correlation coefficient of 0.53, and RH larger than 30% influenced strongly PNC_(2.5).The important influence of secondary reactions on PNC_(2.5) was inferred due to higher correlation coefficients between PNC_(2.5) and SO_4^(2-), NO_3^-, NH_4^+(r = 0.78–0.89; p < 0.01) and between PNC_(2.5) and ratios that represent the conversion of nitrogen and sulfur oxides to particulate matter(r = 0.42–0.49; p < 0.01). Under specific RH conditions, there were even stronger correlations between PNC_(2.5) and NO_3^-, SO_4^(2-), NH_4^+, while those between PNC_(2.5) and EC, OC were relatively weak, especially when RH exceeded 50%. Principal component analysis(PCA) and Pearson's correlation analysis indicated that secondary sources, vehicle emission and coal combustion might be major contributors to PNC_(2.5). Backward trajectory and potential source contribution function(PSCF) analysis suggested that the transport of air masses originated from these regions around Tianjin(Liaoning, Hebei, Shandong and Jiangsu) influenced critically PNC_(2.5). The north of Jiangsu, the west of Shandong, and the east of Hebei were distinguished as major potential source-areas of PNC_(2.5) by PSCF model. | Baoshuang Liu Xiaohui Bi Jiaying Zhang Jie Yuan Zhimei Xiao Qili Dai Yinchang Feng Yufen Zhang | 2019 | Journal of Environmental Sciences2019，31，1： | 1 |
| 9 | Preoperative diagnosis and staging of rectal cancer using diffusion?weightedand water imaging combined with dynamic contrast?enhanced scanning显示文摘 | Qili Zhao Lijian Liu Qiuyan Wang Zexia Liang Gaofeng Shi | 2014 | Oncology Letters2014，，： | 1 |
| 10 | PCR and oligonucleotide array for detection of Enterobacter sakazakii in infant formula显示文摘 | Liu Yin Gao Qili Zhang Xia | 2006 | Molecular and Cellular Probes2006，20，1： | 1 |
| 11 | PCR and oligonueleotide array for detection of Enterobaeter sakazakii in infant formula 显示文摘 | Yin Liu Qili Gao Xia Zhang | 2006 | Molecular and Cellular Probes2006，20，1： | 1 |
| 12 | PCR and oligonucleotide array for detection of Enterobacter sakazakii in infant formula显示文摘 | Yin Liu Qili Gao Xitai Huang | 2006 | Mol Cell Probes2006，20，1： | 1 |
| 13 | PCR and oligonucleotide array for detection of Enterobacter sakazakii in infant formula显示文摘 | LIU Yin GAO Qili ZHANG Xia | 2006 | Molecular and Cellular Probes2006，20，1： | 1 |
| 14 | PCR detection of Klebsiella pneumoniae in infant formula based on 16S–23S internal transcribed spacer显示文摘 | Yin Liu Chao Liu Wenjie Zheng Xia Zhang Jia Yu Qili Gao Yanmei Hou Xitai Huang | 2008 | International Journal of Food Microbiology2008，，3： | 1 |
| 15 | PCR and oligonueleofide array for detection of Enterobacter sakazakii in infant formula显示文摘 | Yin Liu Qili Gao Xia Zhang | 2006 | Molecular and Cellular Probes2006，，20： | 1 |
| 16 | Real time PCR using TaqMan and SYBR Green for detection of Enterobacter sakazakii in infant formula显示文摘 | Yin Liu Xiaoning Cai Xia Zhang Qili Gao Xiaochuan Yang Zejun Zheng Maohuang Luo Xitai Huang | 2005 | Journal of Microbiological Methods2005，，1： | 1 |
| 17 | Microengineered platforms for characterizing the contractile function of in vitro cardiac models显示文摘Emerging heart-on-a-chip platforms are promising approaches to establish cardiac cell/tissue models in vitro for research on cardiac physiology,disease modeling and drug cardiotoxicity as well as for therapeutic discovery.Challenges still exist in obtaining the complete capability of in situ sensing to fully evaluate the complex functional properties of cardiac cell/tissue models.Changes to contractile strength(contractility)and beating regularity(rhythm)are particularly important to generate accurate,predictive models.Developing new platforms and technologies to assess the contractile functions of in vitro cardiac models is essential to provide information on cell/tissue physiologies,drug-induced inotropic responses,and the mechanisms of cardiac diseases.In this review,we discuss recent advances in biosensing platforms for the measurement of contractile functions of in vitro cardiac models,including single cardiomyocytes,2D monolayers of cardiomyocytes,and 3D cardiac tissues.The characteristics and performance of current platforms are reviewed in terms of sensing principles,measured parameters,performance,cell sources,cell/tissue model configurations,advantages,and limitations.In addition,we highlight applications of these platforms and relevant discoveries in fundamental investigations,drug testing,and disease modeling.Furthermore,challenges and future outlooks of heart-on-a-chip platforms for in vitro measurement of cardiac functional properties are discussed. | Wenkun Dou Manpreet Malhi Qili Zhao Li Wang Zongjie Huang Junhui Law Na Liu Craig A.Simmons Jason T.Maynes Yu Sun | 2022 | Microsystems & Nanoengineering2022，8，1： | 0 |
| 18 | A malware propagation prediction model based on representation learning and graph convolutional networks显示文摘The traditional malware research is mainly based on its recognition and detection as a breakthrough point,without focusing on its propagation trends or predicting the subsequently infected nodes.The complexity of network structure,diversity of network nodes,and sparsity of data all pose difficulties in predicting propagation.This paper proposes a malware propagation prediction model based on representation learning and Graph Convolutional Networks(GCN)to address the aforementioned problems.First,to solve the problem of the inaccuracy of infection intensity calculation caused by the sparsity of node interaction behavior data in the malware propagation network,a mechanism based on a tensor to mine the infection intensity among nodes is proposed to retain the network structure information.The influence of the relationship between nodes on the infection intensity is also analyzed.Second,given the diversity and complexity of the content and structure of infected and normal nodes in the network,considering the advantages of representation learning in data feature extraction,the corresponding representation learning method is adopted for the characteristics of infection intensity among nodes.This can efficiently calculate the relationship between entities and relationships in low dimensional space to achieve the goal of low dimensional,dense,and real-valued representation learning for the characteristics of propagation spatial data.We also design a new method,Tensor2vec,to learn the potential structural features of malware propagation.Finally,considering the convolution ability of GCN for non-Euclidean data,we propose a dynamic prediction model of malware propagation based on representation learning and GCN to solve the time effectiveness problem of the malware propagation carrier.The experimental results show that the proposed model can effectively predict the behaviors of the nodes in the network and discover the influence of different characteristics of nodes on the malware propagation situation. | Tun Li Yanbing Liu Qilie Liu Wei Xu Yunpeng Xiao Hong Liu | 2023 | Digital Communications and Networks2023，9，5： | 0 |
| 19 | Public integrity verification for data sharing in cloud with asynchronous revocation显示文摘Cloud data sharing service,which allows a group of people to access and modify the shared data,is one of the most popular and efficient working styles in enterprises.Recently,there is an uprising trend that enterprises tend to move their IT service from local to cloud to ease the management and reduce the cost.Under the new cloud environment,the cloud users require the data integrity verification to inspect the data service at the cloud side.Several recent studies have focused on this application scenario.In these studies,each user within a group is required to sign a data block created or modified by him.While a user is revoked,all the data previously signed by him should be resigned.In the existing research,the resigning process is dependent on the revoked user.However,cloud users are autonomous.They may exit the system at any time without notifying the system admin and even are revoked due to misbehaviors.As the developers in the cloud-based software development platform,they are voluntary and not strictly controlled by the system.Due to this feature,cloud users may not always follow the cloud service protocol.They may not participate in generating the resigning key and may even expose their secret keys after being revoked.If the signature is not resigned in time,the subsequent verification will be affected.And if the secret key is exposed,the shared data will be maliciously modified by the attacker who grasps the key.Therefore,forcing a revoked user to participate in the revocation process will lead to efficiency and security problems.As a result,designing a practical and efficient integrity verification scheme that supports this scenario is highly desirable.In this paper,we identify this challenging problem as the asynchronous revocation,in which the revocation operations(i.e.,re-signing key generation and resigning process)and the user's revocation are asynchronous.All the revocation operations must be able to be performed without the participation of the revoked user.Even more ambitiously,the revocation process should not rely on any special entity,such as the data owner or a trusted agency.To address this problem,we propose a novel public data integrity verification mechanism in which the data blocks signed by the revoked user will be resigned by another valid user.From the perspectives of security and practicality,the revoked user does not participate in the resigning process and the re-signing key generation.Our scheme allows anyone in the cloud computing system to act as the verifier to publicly and efficiently verify the integrity of the shared data using Homomorphic Verifiable Tags(HVTs).Moreover,the proposed scheme resists the collusion attack between the cloud server and the malicious revoked users.The numerical analysis and experimental results further validate the high efficiency and scalability of the proposed scheme.The experimental results manifest that re-signing 10,000 data blocks only takes 3.815 s and a user can finish the verification in 300 ms with a 99% error detection probability. | Wei Song Yu Wu Yihui Cui Qilie Liu Yuan Shen Zicheng Qiu Jianjun Yao Zhiyong Peng | 2022 | Digital Communications and Networks2022，8，1： | 0 |
| 20 | The Connectivity Analysis of Intermittent Connected Wireless Network显示文摘 | Li Yun Zhou Yahui Liu Qilie Wang Xiaoying | 2009 | 中国电子商情(通信市场)2009，，2： | 0 |
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