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| 1 | Type I IFN augments IL-27-dependent TRIM25 expression to inhibit HBV replication显示文摘Hepatitis B virus(HBV)can cause chronic hepatitis B,which may lead to cirrhosis and liver cancer.Type I interferon(IFN)is an approved drug for the treatment of chronic hepatitis B.However,the fundamental mechanisms of antiviral action by type I IFN and the downstream signaling pathway are unclear.TRIM25 is an IFN-stimulated gene(ISG)that has an important role in RIG-I ubiquitination and activation.Whether TRIM25 is induced in liver cells by type I IFN to mediate anti-HBV function remains unclear.Here we report that interleukin-27(IL-27)has a critical role in IFN-induced TRIM25 upregulation.TRIM25 induction requires both STAT1 and STAT3.In TRIM25 knockout HepG2 cells,type I IFN production was consistently attenuated and HBV replication was increased,whereas overexpression of TRIM25 in HepG2 cells resulted in elevated IFN production and reduced HBV replication.More interestingly,we found that TRIM25 expression was downregulated in HBV patients and the addition of serum samples from HBV patients could inhibit TRIM25 expression in HepG2 cells,suggesting that HBV might have involved a mechanism to inhibit antiviral ISG expression and induce IFN resistance.Collectively,our results demonstrate that type I IFN-induced TRIM25 is an important factor in inhibiting HBV replication,and the IFN-IL-27-TRIM25 axis may represent a new target for treating HBV infection. | Guangyun Tan Qingfei Xiao Hongxiao Song Feng Ma Fengchao Xu Di Peng Na Li Xiaosong Wang Junqi Niu Pujun Gao F Xiao-Feng Qin Genhong Cheng | 2018 | Cellular & Molecular Immunology2018，15，3： | 13 |
| 2 | Green Production Technology of the Monomer of Nylon-6: Caprolactam显示文摘 | Baoning Zong Bin Sun Shibiao Cheng Xuhong Mu Keyong Yang Junqi Zhao Xiaoxin Zhang Wei Wu | 2017 | Engineering2017，3，3： | 9 |
| 3 | Expert consensus on dental caries management显示文摘Dental Caries is a kind of chronic oral disease that greatly threaten human being’s health.Though dentists and researchers struggled for decades to combat this oral disease,the incidence and prevalence of dental caries remain quite high.Therefore,improving the disease management is a key issue for the whole population and life cycle management of dental caries.So clinical difficulty assessment system of caries prevention and management is established based on dental caries diagnosis and classification.Dentists should perform oral examination and establish dental records at each visit.When treatment plan is made on the base of caries risk assessment and carious lesion activity,we need to work out patient-centered and personalized treatment planning to regain oral microecological balance,to control caries progression and to restore the structure and function of the carious teeth.And the follow-up visits are made based on personalized caries management.This expert consensus mainly discusses caries risk assessment,caries treatment difficulty assessment and dental caries treatment plan,which are the most important parts of caries management in the whole life cycle. | Lei Cheng Lu Zhang Lin Yue Junqi Ling Mingwen Fan Deqin Yang Zhengwei Huang Yumei Niu Jianguo Liu Jin Zhao Yanhong Li Bin Guo Zhi Chen Xuedong Zhou | 2022 | International Journal of Oral Science2022，14，2： | 8 |
| 4 | Coupled-ridge waveguide quantum cascade laser array lasing at λ~5μm显示文摘In this work,we demonstrated high-power quantum cascade laser(QCL)arrays lasing at λ~5μm by employing an optimized coupled-ridge waveguide(CRW)structure.Five-element QCL arrays were simulated and fabricated through a two-step etching method to extend the CRW structure to a mid-wave infrared regime.A lateral far-field with the main peak near a diffraction-limited intensity curve of about 10°was observed by properly designing a geometric shape of the ridges and interspaces.By introducing a buried 2nd-order distributed feedback(DFB)grating,substrate emission with a radiation power above 1 W at 25℃ is achieved.Single longitudinal mode operation is obtained by changing the temperature of the heatsink with a good linear wavelength tuning coefficient of -0.2 cm^(-1)/K. | Pengchang Yang Jinchuan Zhang Zenghui Gu Chuanwei Liu Yue Zhao Fengmin Cheng Shenqiang Zhai Ning Zhuo Junqi Liu Lijun Wang Shuman Liu Fengqi Liu | 2021 | Journal of Semiconductors2021，42，9： | 1 |
| 5 | Randomized, three‐arm study to optimize lamivudine efficacy in hepatitis B e antigen‐positive chronic hepatitis B patients显示文摘 | Xieer Liang Jun Cheng Yongtao Sun Xinyue Chen Tong Li Hao Wang Jianning Jiang Xiaoping Chen Hui Long Hong Tang Yanyan Yu Jifang Sheng Shijun Chen Junqi Niu Hong Ren Junping Shi Xiaoguang Dou Mobin Wan Jiaji Jiang Qing Xie Guangfeng Shi Qin Ning Chengwei C | 2015 | J Gastroenterol Hepatol2015，，4： | 1 |
| 6 | 14 μm quantum cascade lasers based on diagonal transition and nonresonant extraction显示文摘We report In P-based room-temperature high-average-power quantum cascade lasers emitting at 14 μm. Using a novel active region design, a diagonal bound-to-bound lasing transition is guaranteed by efficient electron injection into the upper laser level and fast nonresonant electron extraction through a miniband from the lower laser level. For a 4 mm long and 40 μm wide double channel ridge waveguide laser with 55 stages of the active region, the threshold current density is only 3.13 k A∕cm^2 at room temperature. At 293 K, the maximum singlefacet peak power and average power are up to 830 m W and 75 m W, respectively. The laser exhibits a characteristic temperature T0 of 395 K over a temperature range from 293 to 353 K. | Shouzhu Niu Junqi Liu Fengmin Cheng Huan Wang Jinchuan Zhang Ning Zhuo Shenqiang Zhai Lijun Wang Shuman Liu Fengqi Liu Zhanguo Wang Xiaohua Wang Zhipeng Wei | 2019 | Photonics Research2019，7，11： | 1 |
| 7 | Novel DDoS Feature Representation Model Combining Deep Belief Network and Canonical Correlation Analysis显示文摘Distributed denial of service(DDoS)attacks launch more and more frequently and are more destructive.Feature representation as an important part of DDoS defense technology directly affects the efficiency of defense.Most DDoS feature extraction methods cannot fully utilize the information of the original data,resulting in the extracted features losing useful features.In this paper,a DDoS feature representation method based on deep belief network(DBN)is proposed.We quantify the original data by the size of the network flows,the distribution of IP addresses and ports,and the diversity of packet sizes of different protocols and train the DBN in an unsupervised manner by these quantified values.Two feedforward neural networks(FFNN)are initialized by the trained deep belief network,and one of the feedforward neural networks continues to be trained in a supervised manner.The canonical correlation analysis(CCA)method is used to fuse the features extracted by two feedforward neural networks per layer.Experiments show that compared with other methods,the proposed method can extract better features. | Chen Zhang Jieren Cheng Xiangyan Tang Victor SSheng Zhe Dong Junqi Li | 2019 | Computers, Materials & Continua2019，，8： | 1 |
| 8 | Last-position elimination-based learning automata显示文摘 | Zhang Junqi Wang Cheng Zhou Mengchu | 2014 | IEEE Trans on Cybernetics2014，44，12： | 1 |
| 9 | A Comparison of Human Comfort Between the Inner and Outer Fokienia hodginsii Forests and the Urban Area in Autumn显示文摘This study observed the temperature,relative humidity,and wind speed of the inner and outer Fokienia hodginsii forests and the urban area in autumn,used the comprehensive comfort index to represent human comfort,compared the differences in the microclimates between the inner and outer forests and the urban area,and evaluated the impacts of the 3 plots on the comfort level of people’s outdoor activities.The results showed that: The inner forest had a drop in temperature ranging 0.7℃ to 1.5 ℃ compared with the outer forest;the outer forest had a drop in temperature ranging 0.6℃ to 3.5℃ compared with the urban area;the relative humidity of the inner forest was 0.04–5% higher than that of the outer forest,and 21.7–37.1% higher than that of the urban area;the wind speed of the inner forest was 56% lower than that of the urban area,and 35% lower than that of the outer forest.In short,the inner forest,where people felt most comfortable,was a better place for developing outdoor activities in autumn. | WANG Qian WANG Cheng ZHANG Zhongxia REN Binbin XU Chao GUO Junqi | 2019 | Journal of Landscape Research2019，11，5： | 0 |
| 10 | Human Comfort of the Inner and Outer Fokienia hodginsii Forests in Summer显示文摘This study analyzed the microclimate factors and human comfort index of the inner and outer Fokienia hodginsii forests and of a city square.The results showed that:① In terms of the average daily temperature,the inner and outer forests and the city square ranked as follows: square > outer forest > inner forest.The temperature of the inner forest was 8.21–11.73℃ lower than that of the city square,and the temperature of the outer forest was 7.41–10.34℃ lower than that of the city square.The inner forest was cooled by 24.21% and 1.37% respectively than the outer forest and the city square.② In terms of the average daily relative humidity,the inner and outer forests and the city square ranked as follows: square < outer forest < inner forest.The average daily relative humidity of the inner forest,the outer forest,and the city square was 68.57,84.91,and 88.27,respectively.③ In terms of the average daily wind speed,the inner and outer forests and the city square ranked as: square > outer forest > inner forest.Their daily variation ranges were 0–0.75,0.18–0.43,and 0.12–0.31 m/s,respectively.④ In terms of the daily average illumination intensity,the inner and outer forests and the square ranked as: square > outer forest > inner forest.Their average daily illumination intensities were 371.68,4,582.01,and 17,641.63 lux,respectively. | WANG Qian WANG Cheng REN Binbin ZHANG Zhongxia XU Chao GUO Junqi | 2019 | Journal of Landscape Research2019，11，5： | 0 |
| 11 | Diurnal Variation of Atmospheric Aerosol Particles in the Phyllostachys heterocycla Forest in Spring显示文摘Taking the Phyllostachys heterocycla forest in Qishan National Forest Park of Fuzhou for example,this study observed the diurnal variation of atmospheric aerosol particles in the forest in the growing season.The results showed that:① The diurnal variation curves of the particle concentration of the forest and the forest edge had “two peaks and two troughs”,but the peaks and troughs of the forest edge were advanced or delayed.The concentrations of the particles in the forest and at the forest edge had two peaks at 11:00–13:00 and 17:00–19:00 and two troughs at 7:00–9:00 and 15:00–17:00.② For the forest and the forest edge,the diurnal variation trends of the particles of different particle sizes were generally similar,except that the peaks and troughs of fine particles were slightly earlier or lagging than that of coarse particles.③ The concentrations of the particles were positively correlated with temperature,humidity and light,and negatively correlated with wind speed,and the concentrations of the particles at the forest edge were significantly negatively correlated with wind speed. | WANG Qian WANG Cheng REN Binbin XU Chao GUO Junqi ZHANG Zhongxia | 2019 | Journal of Landscape Research2019，11，5： | 0 |
| 12 | DDoS Attack Detection via Multi-Scale Convolutional Neural Network显示文摘Distributed Denial-of-Service(DDoS)has caused great damage to the network in the big data environment.Existing methods are characterized by low computational efficiency,high false alarm rate and high false alarm rate.In this paper,we propose a DDoS attack detection method based on network flow grayscale matrix feature via multi-scale convolutional neural network(CNN).According to the different characteristics of the attack flow and the normal flow in the IP protocol,the seven-tuple is defined to describe the network flow characteristics and converted into a grayscale feature by binary.Based on the network flow grayscale matrix feature(GMF),the convolution kernel of different spatial scales is used to improve the accuracy of feature segmentation,global features and local features of the network flow are extracted.A DDoS attack classifier based on multi-scale convolution neural network is constructed.Experiments show that compared with correlation methods,this method can improve the robustness of the classifier,reduce the false alarm rate and the missing alarm rate. | Jieren Cheng Yifu Liu Xiangyan Tang Victor SSheng Mengyang Li Junqi Li | 2020 | Computers, Materials & Continua2020，，3： | 0 |
| 13 | A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning显示文摘Distributed Denial of Service(DDoS)attack has become one of the most destructive network attacks which can pose a mortal threat to Internet security.Existing detection methods cannot effectively detect early attacks.In this paper,we propose a detection method of DDoS attacks based on generalized multiple kernel learning(GMKL)combining with the constructed parameter R.The super-fusion feature value(SFV)and comprehensive degree of feature(CDF)are defined to describe the characteristic of attack flow and normal flow.A method for calculating R based on SFV and CDF is proposed to select the combination of kernel function and regularization paradigm.A DDoS attack detection classifier is generated by using the trained GMKL model with R parameter.The experimental results show that kernel function and regularization parameter selection method based on R parameter reduce the randomness of parameter selection and the error of model detection,and the proposed method can effectively detect DDoS attacks in complex environments with higher detection rate and lower error rate. | Jieren Cheng Junqi Li Xiangyan Tang Victor SSheng Chen Zhang Mengyang Li | 2020 | Computers, Materials & Continua2020，，3： | 0 |
| 14 | Evaluation and Selection of Appropriate Tobacco Varieties for Badong,Hubei Province显示文摘In order to screen out high quality and high yield varieties of flue-cured tobacco suitable for planting in tobacco area of Badong County,three new strains were screened in the field.The results showed that,compared with Yunyan 87,the agronomic and economic traits of three new strains were slightly worse.HB202 performed relatively well;the internal chemical component contents of HB204,HB094 and Yunyan 87 were relatively harmonious;and the sensory quality of tobacco leaves of different varieties was medium aroma quality,almost sufficient aroma volume,almost comfortable aftertaste and slight irritancy.Yunyan 87 was relatively better than the three tested new strains. | Fanwen FENG Guang HUO Junqi CHENG Beichuang DENG | 2020 | Agricultural Biotechnology2020，9，6： | 0 |
| 15 | Dual-mode distributed feedback quantum cascade laser based on stacked 3D monolithic integration for on-chip multi-channel gas sensing显示文摘To facilitate the development of on-chip integrated mid-infrared multi-channel gas sensing systems,we propose a high-power dual-mode(7.01 and 7.5μm)distributed feedback quantum cascade laser based on stacked 3D monolithic integration.Longitudinal mode control is achieved by preparing longitudinal nested bi-periodic compound one-dimensional Bragg gratings along the direction of the cavity length in the confinement layer.Additionally,transverse coherent coupling ridges perpendicular to the cavity length direction are fabricated in the upper waveguide layer to promote the fundamental transverse mode output when all ridges are in phase.Stable dual-wavelength simultaneous emission with a side-mode suppression ratio of more than 20 dB was achieved by holographic exposure and wet etching.The entire spectral tuning range covers nearly 100 nm through joint tuning of the injection current and heat-sink temperature.High peak power and beam quality are guaranteed by the parallel coherent integration of seven-element ridge arrays.The device operates in a fundamental supermode with a single-lobed far-field pattern,and its peak output power reaches 3.36 W in pulsed mode at 20℃.This dual-mode laser chip has the potential for in-situ on-chip simultaneous detection of CH4and C2H6gases in leak monitoring. | XIYU LU YANJIAO GUAN PENGCHANG YANG SHAN NIU YU MA LIJUN WANG NING ZHUO JINCHUAN ZHANG SHENQIANG ZHAI FENGMIN CHENG SHUMAN LIU FENGQI LIU JUNQI LIU | 2023 | Photonics Research2023，11，12： | 0 |
| 16 | Expert consensus on difficulty assessment of endodontic therapy显示文摘Endodontic diseases are a kind of chronic infectious oral disease. Common endodontic treatment concepts are based on the removal of inflamed or necrotic pulp tissue and the replacement by gutta-percha. However, it is very essential for endodontic treatment to debride the root canal system and prevent the root canal system from bacterial reinfection after root canal therapy(RCT). Recent research, encompassing bacterial etiology and advanced imaging techniques, contributes to our understanding of the root canal system’s anatomy intricacies and the technique sensitivity of RCT. Success in RCT hinges on factors like patients, infection severity, root canal anatomy, and treatment techniques. Therefore, improving disease management is a key issue to combat endodontic diseases and cure periapical lesions. The clinical difficulty assessment system of RCT is established based on patient conditions, tooth conditions, root canal configuration, and root canal needing retreatment, and emphasizes pre-treatment risk assessment for optimal outcomes. The findings suggest that the presence of risk factors may correlate with the challenge of achieving the high standard required for RCT. These insights contribute not only to improve education but also aid practitioners in treatment planning and referral decision-making within the field of endodontics. | Dingming Huang Xiaoyan Wang Jingping Liang Junqi Ling Zhuan Bian Qing Yu Benxiang Hou Xinmei Chen Jiyao Li Ling Ye Lei Cheng Xin Xu Tao Hu Hongkun Wu Bin Guo Qin Su Zhi Chen Lihong Qiu Wenxia Chen Xi Wei Zhengwei Huang Jinhua Yu Zhengmei Lin Qi Zhang Deqin Yang Jin Zhao Shuang Pan Jian Yang Jiayuan Wu Yihuai Pan Xiaoli Xie Shuli Deng Xiaojing Huang Lan Zhang Lin Yue Xuedong Zhou | 2024 | International Journal of Oral Science2024，16，1： | 0 |
| 17 | A Method for Predicting Service Deprecation in Service Systems显示文摘An increasing number of web services are being invoked by users to create user applications(e.g.,mashups). However, over time, a few good services in service systems have become deprecated, i.e., the service is initially available and is invoked by service users, but later becomes unavailable. Therefore, the prediction of service deprecation has become a key issue in creating reliable long-term user applications. Most existing research has overlooked service deprecation in service systems and has failed to consider long-term service reliability when making service recommendations. In this paper, we propose a method for predicting service deprecation, which comprises two components: Service Comprehensive Feature Modeling(SCFM) for extracting service features relevant to service deprecation and Deprecated Service Prediction(DSP) for building a service deprecation prediction model. Our experimental results on a real-world dataset demonstrate that our method yields an improved Area-Under-the-Curve(AUC) value over existing methods and thus has better accuracy in service deprecation prediction. | Bofei Xia Yushun Fan Cheng Wu Bing Bai Junqi Zhang | 2017 | Tsinghua Science and Technology2017，22，1： | 0 |
| 18 | Diurnal Variation of Atmospheric Aerosol Particles in the Fokienia hodginsii Forest in Spring显示文摘With the Fokienia hodginsii forest in Qishan National Forest Park as the object of study, this study observed the diurnal variation of concentrations of atmospheric aerosol particles inside and outside the forest, collected the data of microclimate factors, and analyzed their correlation with the particle concentration. The results showed that the diurnal variation curves of the particle concentration of the forest and the forest edge had two peaks and two troughs'. There were two peaks throughout the day at 13:00 and 19:00 or 17:00 as well as two troughs at 7:00-9:00 and 15:00 or 17:00. The atmospheric aerosol particle in the forest was mainly fine particles, while the forest edge was dominated by coarse particles. For the forest and the forest edge, the diurnal variation trends of various atmospheric aerosol particles were similar. The particle concentration was positively correlated with temperature, relative humidity, and il umination intensity and negatively correlated with wind speed, and the particle concentration outside the forest was significantly negatively correlated with the wind speed. | WANG Qian WANG Cheng ZHANG Zhongxia REN Binbin XU Chao GUO Junqi | 2019 | Journal of Landscape Research2019，11，6： | 0 |
| 19 | Human Comfort of the Phyllostachys heterocycla Forest in Summer显示文摘This study analyzed the microclimate factors and human comfort index inside and outside the Phyl ostachys heterocycla forest of Qishan Natiional Forest Park in summer,and compared them with those of the city square.The results showed that:(1)In terms of the average daily temperature,the inner and outer forests and the city square ranked as follows:city square>outer forest>inner forest.The temperature of the inner forest was 5.41–10.31°C lower than that of the city square,and the temperature of the outer forest was 4.41–9.51°C lower than that of the city square.(2)In terms of the average daily relative humidity,the inner and outer forests and the city square ranked as follows:city squareouter forest>inner forest.The daily average value of the city square was 42%and 37%higher than that of the inner and outer forests,and the daily average value of the outer forest was 21%higher than that of the inner forest.(4)In terms of the daily average illumination intensity,the inner and outer forests and the square ranked as follows:city square>outer forest>inner forest.The daily average value of the city square was 97.38%and 74.33%higher than that of the inner and outer forests,and the daily average value of the outer forest was 89.78%higher than that of the inner forest. | WANG Qian WANG Cheng XU Chao GUO Junqi REN Binbin ZHANG Zhongxia | 2019 | Journal of Landscape Research2019，11，6： | 0 |
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