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| 1 | Enabling network function combination via service chain instantiation显示文摘 | Guozhen Cheng Hongchang Chen Hongchao Hu Zhiming Wang Julong Lan | 2015 | Computer Networks2015，，： | 2 |
| 2 | A multiple reverse transcription PCR assay for simultaneous detection of five to- bacco viruses in tobacco plants 显示文摘 | Dai Jin Cheng Julong Huang Tian | 2012 | Journal of Virological Methods2012，183，1： | 1 |
| 3 | A multiplex reverse transcription PCR assay for simultaneous detection of five tobacco viruses in tobacco plants显示文摘 | Jin Dai Julong Cheng Ting Huang Xuan Zheng Yunfeng Wu | 2012 | Journal of Virological Methods2012，，1： | 1 |
| 4 | Development of a concentration method for detection of tobacco mosaic virus in irrigation water显示文摘Tobacco mosaic virus(TMV) causes significant yield loss in susceptible crops irrigated with contaminated water. However, detection of TMV in water is difficult owing to extremely low concentrations of the virus. Here, we developed a simple method for the detection and quantification of TMV in irrigation water. TMV was reliably detected at concentrations as low as 10 viral copies/μL with real-time PCR. The sensitivity of detection was further improved using polyethylene glycol 6000(PEG6000, MW 6000) to concentrate TMV from water samples. Among the 28 samples from Shaanxi Province examined with our method, 17 were tested positive after virus concentration. Infectivity of TMV in the original water sample as well as after concentration was confirmed using PCR. The limiting concentration of TMV in water to re-infect plants was determined as 102 viral copies/mL. The method developed in this study offers a novel approach to detect TMV in irrigation water, and may provide an effective tool to control crop infection. | Wei Chen Wenting Liu Honghong Jiao Huawei Zhang Julong Cheng Yunfeng Wu | 2014 | Virologica Sinica2014，29，3： | 1 |
| 5 | Distribution and molecular variability of four tobacco viruses in China显示文摘Dear Editor,Plant viruses cause great economic losses to tobacco production(Dai et al.,2012).Many types of viruses have been reported to infect tobacco plants,including Tobacco mosaic virus(TMV)(Chen et al.,2014),Cucumber mosaic virus(CMV)(Dai et al.,2012),Tobacco | Kuan Wu Wei Chen Zhaopeng Luo BingWang Julong Cheng Zhensheng Kang | 2016 | Virologica Sinica2016，31，6： | 0 |
| 6 | A New Format of Single Chain Tri-specific Antibody with Diminished Molecular Size Efficiently Induces Ovarian Tumor Cell Killing显示文摘 | Jing Liu Qi Zhao Baofeng Zhao Julong Cheng Xiangbin Wang Liping Song Zhang Zhong Qing Lin Hualiang Huang | 2006 | 中国生物学文摘2006，20，1： | 0 |
| 7 | Preparation of Flower-like Copper Foam Supported Co_(3)O_(4) Electrocatalyst and Its Hydrogen Evolution Performance显示文摘Flower-like copper foam Co_(3)O_(4) catalysts(Co_(3)O_(4)/CF) were prepared by hydrothermal method.The crystalline structure and microscopic morphology of the prepared samples were characterized by using X-ray diffractometer(XRD) and scanning electron microscope(SEM),and the electrochemical properties were investigated by an electrochemical workstation.The experimental results show that the Co_(3)O_(4) catalysts are successfully prepared on the foamed copper support by hydrothermal method,and the material’s morphology is mainly flower cluster.When the current density is 10 mA·cm^(-2),the overpotential value of the Co_(3)O_(4)/CF catalyst is 141 mV,lower than that of blank support.The electrochemical impedance(EIS) spectrum shows that the R_(ct )value of the Co_(3)O_(4)/CF catalyst decreases,and the Coulomb curves of double-layer show that the electrochemically active area of the Co_(3)O_(4)/CF catalyst efficiently increases compared with that of the blank support.Therefore,the as-obtained Co_(3)O_(4)/CF catalyst exhibits a good hydrogen evolution rate,showing great applicability potential in the catalytic electrolysis of water for hydrogen production. | 李兆 CHENG Julong WANG Yanan WU Kunyao CAO Jing | 2024 | Journal of Wuhan University of Technology(Materials Science)2024，39，2： | 0 |
| 8 | Uncovering network traffic anomalies based on their sparse distributions显示文摘Characterizing network traffic with higher-dimensional features results in increased complexity of most detectors and classifiers for identifying traffic anomalies.Several key observations from existing studies confirm that network anomalies are typically distributed in a sparse way,with each anomaly essentially characterized by its lower-dimensional features.Based on this important finding,we exploit sparsity in designing a novel detection method for anomalies that ignores redundancies that are dynamically filtered from the feature sets and accurately classifies anomalies.Comparison of our method with three well known techniques shows a10%improvement in accuracy with an O(n)complexity of the classifier. | CHENG GuoZhen CHEN HongChang CHENG DongNian ZHANG Zhen LAN JuLong | 2014 | Science China(Information Sciences)2014，57，9： | 0 |
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