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| 1 | Simultaneous virus identification and characterization of severe unexplained pneumonia cases using a metagenomics sequencing technique显示文摘Many viruses can cause respiratory diseases in humans.Although great advances have been achieved in methods of diagnosis,it remains challenging to identify pathogens in unexplained pneumonia(UP) cases.In this study,we applied next-generation sequencing(NGS) technology and a metagenomic approach to detect and characterize respiratory viruses in UP cases from Guizhou Province,China.A total of 33 oropharyngeal swabs were obtained from hospitalized UP patients and subjected to NGS.An unbiased metagenomic analysis pipeline identified 13 virus species in 16 samples.Human rhinovirus C was the virus most frequently detected and was identified in seven samples.Human measles virus,adenovirus B 55 and coxsackievirus A10 were also identified.Metagenomic sequencing also provided virus genomic sequences,which enabled genotype characterization and phylogenetic analysis.For cases of multiple infection,metagenomic sequencing afforded information regarding the quantity of each virus in the sample,which could be used to evaluate each viruses' role in the disease.Our study highlights the potential of metagenomic sequencing for pathogen identification in UP cases. | Xiaohui Zou Guangpeng Tang Xiang Zhao Yan Huang Tao Chen Mingyu Lei Wenbing Chen Lei Yang Wenfei Zhu Li Zhuang Jing Yang Zhaomin Feng Dayan Wang Dingming Wang Yuelong Shu | 2017 | Science China(Life Sciences)2017，60，3： | 14 |
| 2 | Optimization of Extraction of Total Flavonoids from HERBA BLUMEAE RIPARIAE Using Response Surface Methodology显示文摘[Objectives]This study aimed to optimize the ultrasonic-assisted extraction process of total flavonoids from a Zhuang medicine HERBA BLUMEAE RIPARIAE using response surface methodology.[Methods]Using rutin as a reference substance,a standard curve was drawn at a wavelength of 292 nm.Content determination was performed through absorbance under different conditions.The effects of ultrasonic time,ethanol volume fraction and liquid-to-solid ratio on the yield of total flavonoids from HERBA BLUMEAE RIPARIAE were investigated by single-factor tests.By using Box-Behnken test,the ultrasonic-assisted extraction process of total flavonoids from HERBA BLUMEAE RIPARIAE was optimized.[Results]The optimal extraction process of total flavonoids from HERBA BLUMEAE RIPARIAE was as follows:ultrasonic time of 30 min,ethanol volume fraction of 50%and liquid-to-solid ratio of 40∶1(mL/g).Under the optimal extraction conditions,the average yield of total flavonoids from HERBA BLUMEAE RIPARIAE was 85.47 mg/g.[Conclusions]The optimized extraction process was convenient and feasible.This study will provide a reference for the extraction of total flavonoids from HERBA BLUMEAE RIPARIAE,and provide certain guidance and basis for further development and utilization of the plan resource of Blumea riparia(Bl.)DC. | Hongna SU Yining ZHANG Xuexue LI Xuelian ZHAO Yisong LI Wenbing LI Yuan LIU | 2020 | Medicinal Plant2020，11，2： | 5 |
| 3 | Emerging Views on the Overall Process Treatment of Municipal Domestic Waste for the Sustainable Use of Landfills in China显示文摘1.Introduction With the continuous improvement of living standards and the rapid development of urbanization,the annual production of municipal domestic waste in China has reached over 2108 t and is expected to increase in the future.Landfill technology,which is the main method for the traditional treatment of domestic waste,accounts for more than 60%of the total treatment in China.However,current single-landfill technologies have a series of problems(Fig.1(a)).First,recyclable resources within the vast amount of domestic waste often cannot be recycled and utilized,thereby causing resources to be wasted and deviated from sustainable cycles.Second,the amount of domestic waste that is decomposed and disposed of by landfill technology is considerably less than the amount entering landfill sites each year.Accordingly,a large area of valuable land must be developed for the construction of new landfill sites. | Wenbing Tan Beidou Xi Xinyu Zhao Qiuling Dang | 2020 | Engineering2020，6，7： | 4 |
| 4 | Height of fractured zone inside overlying strata under high-intensity mining in China显示文摘The height of fractured zone(HFZ) at the high-intensity longwall mining panel plays a vital role in the safety analysis of coal mining under bodies of water. This paper described definitions of the highintensity mining. The processes of overburden failure transfer(OFT) were analyzed, which were divided into the development stage and the termination stage. Through theoretical analysis, the limited suspension-distance and the limited overhanging distance were proposed to judge the damage of each stratum. Mechanical models of strata suspended integrity and overhanging stability were established.A theoretical method to predict the HFZ at the high-intensity longwall mining panel was put forward based on the processes of OFT. Taking a high-intensity longwall mining panel(No. 11915 panel) as an example, the theoretical method proposed, the engineering analogy and the empirical formulas in the Regulation were used to predict the HFZ. The results show that the theoretical result is consistent with the engineering analogies' result and empirical formulas' result. The rationality and reliability of the theoretical method proposed is verified. | Wenbing Guo Gaobo Zhao Gaozhong Lou Shuren Wang | 2019 | International Journal of Mining Science and Technology2019，29，1： | 2 |
| 5 | Super-resolution TOA estimation in OFDM systems for indoor environments显示文摘 | Fang Zhao Wenbing Yao Catharina Calemalm Logothetics | 2007 | IEEE International Conference on Networking Sensing and Control2007，，： | 1 |
| 6 | Towards improving detection performance for malware with a correntropy-based deep learning method显示文摘With the rapid development of Internet of Things(IoT)technologies,the detection and analysis of malware have become a matter of concern in the industrial application of Cyber-Physical System(CPS)that provides various services using the IoT paradigm.Currently,many advanced machine learning methods such as deep learning are popular in the research of malware detection and analysis,and some achievements have been made so far.However,there are also some problems.For example,considering the noise and outliers in the existing datasets of malware,some methods are not robust enough.Therefore,the accuracy of malware classification still needs to be improved.Aiming at this issue,we propose a novel method that combines the correntropy and the deep learning model.In our proposed method for malware detection and analysis,given the success of the mixture correntropy as an effective similarity measure in addressing complex datasets with noise,it is therefore incorporated into a popular deep learning model,i.e.,Convolutional Neural Network(CNN),to reconstruct its loss function,with the purpose of further detecting the features of outliers.We present the detailed design process of our method.Furthermore,the proposed method is tested both on a real-world malware dataset and a popular benchmark dataset to verify its learning performance. | Xiong Luo Jianyuan Li Weiping Wang Yang Gao Wenbing Zhao | 2021 | Digital Communications and Networks2021，7，4： | 1 |
| 7 | Development of low-coherence high-power laser drivers for inertial confinement fusion显示文摘The use of low-coherence light is expected to be one of the effective ways to suppress or even eliminate the laser–plasma instabilities that arise in attempts to achieve inertial confinement fusion.In this paper,a review of low-coherence high-power laser drivers and related key techniques is first presented.Work at typical low-coherence laser facilities,including Gekko XII,PHEBUS,Pharos III,and Kanal-2 is described.The many key techniques that are used in the research and development of low-coherence laser drivers are described and analyzed,including low-coherence source generation,amplification,harmonic conversion,and beam smoothing of low-coherence light.Then,recent progress achieved by our group in research on a broadband low-coherence laser driver is presented.During the development of our low-coherence high-power laser facility,we have proposed and implemented many key techniques for working with low-coherence light,including source generation,efficient amplification and propagation,harmonic conversion,beam smoothing,and precise beam control.Based on a series of technological breakthroughs,a kilojoule low-coherence laser driver named Kunwu with a coherence time of only 300 fs has been built,and the first round of physical experiments has been completed.This high-power laser facility provides not only a demonstration and verification platform for key techniques and system integration of a low-coherence laser driver,but also a new type of experimental platform for research into,for example,high-energy-density physics and,in particular,laser–plasma interactions. | Yanqi Gao Yong Cui Lailin Ji Daxing Rao Xiaohui Zhao Fujian Li Dong Liu Wei Feng Lan Xia Jiani Liu Haitao Shi Pengyuan Du Jia Liu Xiaoli Li Tao Wang Tianxiong Zhang Chong Shan Yilin Hua Weixin Ma Xun Sun Xianfeng Chen Xiuguang Huang Jian Zhu Wenbing Pei Zhan Sui Sizu Fu | 2020 | Matter and Radiation at Extremes2020，5，6： | 1 |
| 8 | Mutations associated with egg adaptation of influenza A(H1N1)pdm09 virus in laboratory based surveillance in China, 2009–2016显示文摘Mutations of influenza virus associated with adaptation occurring during passage in embryonated chicken eggs could result in antigenic change or reduced vaccine effectiveness.In this study,we investigated the mutations of influenza A(H1N1)pdm09 egg isolates from the Chinese National Influenza Surveillance Network between 2009 and 2016.Thirteen mutations were identified in the hemagglutinin(HA)protein from viruses passaged in eggs,in comparing to those in cells.After scanning public database,four mutations,D127E,L191I,D222G/N and Q223R in HA1,which may alter the receptor-binding specificity,were observed frequently.Although the A(H1N1)pdm09 virus has evolved in human for nearly ten years,most egg-cultured viruses acquired one or more further mutations.Using the egg isolates for influenza surveillance requires extra caution because of these selected mutations,and their impacts on antigenicity and receptor-binding property need further evaluation.Currently,most of the influenza vaccines are produced using egg isolates,particularly in China.Thus,there is an urge to promote the establishment of an alternative influenza vaccine production platform. | Lei Yang Yanhui Cheng Xiang Zhao Hejiang Wei Minju Tan Xiyan Li Wenfei Zhu Weijuan Huang Wenbing Chen Jia Liu Zi Li Yuelong Shu Dayan Wang | 2019 | Biosafety and Health2019，1，1： | 1 |
| 9 | A 3D Geometry-Based Scattering Model for Vehicleto-Vehicle Wideband MIMO Relay-Based Cooperative Channels显示文摘In this paper, a three-dimensional(3D) geometry- based stochastic scattering model(GBSSM) for wideband multi-input multi-output(MIMO) vehicle-to-vehicle(V2V) relay-based cooperative fading channel based on geometrical three-cylinder is proposed. Non-line-of-sight(NLOS) propagation condition is assumed in amplify-and-forward(AF) cooperative networks from the source mobile station(S) to the destination mobile station(D) via the mobile relay station(R). We extend the proposed narrowband model to wideband and also introduce the carrier frequency and bandwidth into the model. To avoid complicated procedure in deriving the analytical expressions of the channel parameters and functions, the channel is realized first. By using the realized channel matrix, the channel properties are further investigated. | Xiaolin Liang Xiongwen Zhao Shu Li Qi Wang Wenbing Lu | 2016 | China Communications2016，13，10： | 1 |
| 10 | Effects of potential probiotic Bacillus subtilis T13 on growth, immunity and disease resistance against Vibrio splendidus infection in juvenile sea cucumber Apostichopus japonicus显示文摘 | Yancui Zhao Wenbing Zhang Wei Xu Kangsen Mai Yanjiao Zhang Zhiguo Liufu | 2012 | Fish and Shellfish Immunology2012，，5： | 1 |
| 11 | Lithium nitrate regulated carbonate electrolytes for practical Li-metal batteries: Mechanisms, principles and strategies显示文摘Li-metal batteries(LMBs)regain research prominence owing to the ever-increasing high-energy requirements.Commercially available carbonate electrolytes exhibit unfavourable parasitic reactions with Limetal anode(LMA),leading to the formation of unstable solid electrolyte interphase(SEI)and the breed of Li dendrites/dead Li.Significantly,lithium nitrate(LiNO_(3)),an excellent film-forming additive,proves crucial to construct a robust Li_(3)N/Li_(2)O/Li_(x)NO_(y)-rich SEI after combining with ether-based electrolytes.Thus,the given challenge leads to natural ideas which suggest the incorporation of LiNO_(3) into commercial carbonate for practical LMBs.Regrettably,LiNO_(3) demonstrates limited solubility(~800 ppm)in commercial carbonate electrolytes.Thence,developing stable SEI and dendrite-free LMA with the incorporation of LiNO_(3) into carbonate electrolytes is an efficacious strategy to realize robust LMBs via a scalable and cost-effective route.Therefore,this review unravels the grievances between LMA,LiNO_(3)and carbonate electrolytes,and enables a comprehensive analysis of LMA stabilizing mechanism with LiNO_(3),dissolution principle of LiNO_(3) in carbonate electrolytes,and LiNO_(3) introduction strategies.This review converges attention on a point that the LiNO_(3)-introduction into commercial carbonate electrolytes is an imperious choice to realize practical LMBs with commercial 4 V layered cathode. | Kun Wang Wenbing Ni Liguang Wang Lu Gan Jing Zhao Zhengwei Wan Wei Jiang Waqar Ahmad Miaomiao Tian Min Ling Jun Chen Chengdu Liang | 2023 | Journal of Energy Chemistry2023，，2： | 1 |
| 12 | Effective short text classification via the fusion of hybrid features for IoT social data显示文摘Nowadays short texts can be widely found in various social data in relation to the 5G-enabled Internet of Things (IoT). Short text classification is a challenging task due to its sparsity and the lack of context. Previous studies mainly tackle these problems by enhancing the semantic information or the statistical information individually. However, the improvement achieved by a single type of information is limited, while fusing various information may help to improve the classification accuracy more effectively. To fuse various information for short text classification, this article proposes a feature fusion method that integrates the statistical feature and the comprehensive semantic feature together by using the weighting mechanism and deep learning models. In the proposed method, we apply Bidirectional Encoder Representations from Transformers (BERT) to generate word vectors on the sentence level automatically, and then obtain the statistical feature, the local semantic feature and the overall semantic feature using Term Frequency-Inverse Document Frequency (TF-IDF) weighting approach, Convolutional Neural Network (CNN) and Bidirectional Gate Recurrent Unit (BiGRU). Then, the fusion feature is accordingly obtained for classification. Experiments are conducted on five popular short text classification datasets and a 5G-enabled IoT social dataset and the results show that our proposed method effectively improves the classification performance. | Xiong Luo Zhijian Yu Zhigang Zhao Wenbing Zhao Jenq-Haur Wang | 2022 | Digital Communications and Networks2022，8，6： | 1 |
| 13 | Effects of dietary β-glucan on the growth, immune responses and resistance of sea cucumber, Apostichopus japonicus against Vibrio splendidus infection显示文摘 | Yancui Zhao Hongming Ma Wenbing Zhang Qinghui Ai Kangsen Mai Wei Xu Xiaojie Wang Zhiguo Liufu | 2011 | Aquaculture2011，，3： | 1 |
| 14 | Influence of Dietary Probiotic Bacillus TC22 and Prebiotic Fructooligosaccharide on Growth,Immune Responses and Disease Resistance against Vibrio splendidus Infection in Sea Cucumber Apostichopus japonicus显示文摘The effects of probiotic Bacillus TC22 (isolated from intestine of infected sea cucumber) and prebiotic fructooligosaccharide (FOS) on growth, immunity and disease resistance in sea cucumber Apostichopus japonicus were studied. Six experimental diets were formulated with combinations of three levels of TC22 (0, 107 and 109 CFU g-1 diet) and two levels of FOS (0 and 0.5%) in a 3 × 2 factorial experiment. At the end of the 8-week feeding trial,animals were challenged by injecting Vibrio splendidus. The results revealed that the specific growth rates (SGR) of sea cucumbers were not affected by TC22 and FOS, or the interaction between TC22 and FOS (P > 0.05). However,there were significant interactions between TC22 and FOS for immune response and disease resistance in sea cucumbers (P < 0.05). When sea cucumbers were fed with TC22 at 109 CFU g?1 feed and 0.5% FOS alone or in combination, the phagocytosis, respiratory burst and phenoloxidase activity of sea cucumber coelomocytes were significantly enhanced;the disease resistance against V. splendidus infection was also increased significantly (P < 0.05).However, dietary combination of TC22 at 109 CFU g-1 diet and 0.5% FOS did not yield significantly higher efficiency than either TC22 at 109 CFU g-1 diet or 0.5% FOS used alone (P > 0.05). Therefore, further studies should examine the effects of combinations of other levels of FOS(> 0.5% or < 0.5%) and TC22 on the immunity and disease resistance of sea cucumbers. | ZHAO Yancui MAI Kangsen XU Wei ZHANG Wenbing AI Qinghui ZHANG Yanjiao WANG Xiaojie LIUFU Zhiguo | 2011 | Journal of Ocean University of China2011，10，3： | 1 |
| 15 | Selective fraction of Atractylodes lancea (Thunb.) DC. and its growth inhibitory effect on human gastric cancer cells显示文摘 | Ming Zhao Qingqing Wang Zhen Ouyang Bangxing Han Wenbing Wang Yuan Wei Yan Wu Bing Yang | 2014 | Cytotechnology2014，，2： | 1 |
| 16 | Towards Rehabilitation at Home After Total Knee Replacement显示文摘In this paper,we present the design and implementation of an avatar-based interactive system that facilitates rehabilitation for people who have received total knee replacement surgeries.The system empowers patients to carry out exercises prescribed by a clinician at the home settings more effectively.Our system helps improve accountability for both patients and clinicians.The primary sensing modality is the Microsoft Kinect sensor,which is a depth camera that comes with a Software Development Kit(SDK).The SDK provides access to 3-dimensional skeleton joint positions to software developers,which significantly reduces the challenges in developing accurate motion tracking systems,especially for use at home.However,the Kinect sensor is not wellequipped to track foot orientation and its subtle movements.To overcome this issue,we augment the system with a commercial off-the-shelf Inertial Measurement Unit(IMU).The two sensing modalities are integrated where the Kinect serves as the primary sensing modality and the IMU is used for exercises where Kinect fails to produce accurate measurement.In this pilot study,we experiment with four rehabilitation exercises,namely,quad set,side-lying hip abduction,straight raise leg,and ankle pump.The Kinect is used to assess the first three exercises,and the IMU is used to assess the ankle pump exercise. | Wenbing Zhao Shunkun Yang Xiong Luo | 2021 | Tsinghua Science and Technology2021，26，6： | 1 |
| 17 | Semisupervised Encrypted Traffic Identification Based on Auxiliary Classification Generative Adversarial Network显示文摘The rapidly increasing popularity of mobile devices has changed the methods with which people access various network services and increased net-work traffic markedly.Over the past few decades,network traffic identification has been a research hotspot in the field of network management and security mon-itoring.However,as more network services use encryption technology,network traffic identification faces many challenges.Although classic machine learning methods can solve many problems that cannot be solved by port-and payload-based methods,manually extract features that are frequently updated is time-consuming and labor-intensive.Deep learning has good automatic feature learning capabilities and is an ideal method for network traffic identification,particularly encrypted traffic identification;Existing recognition methods based on deep learning primarily use supervised learning methods and rely on many labeled samples.However,in real scenarios,labeled samples are often difficult to obtain.This paper adjusts the structure of the auxiliary classification generation adversarial network(ACGAN)so that it can use unlabeled samples for training,and use the wasserstein distance instead of the original cross entropy as the loss function to achieve semisupervised learning.Experimental results show that the identification accuracy of ISCX and USTC data sets using the proposed method yields markedly better performance when the number of labeled samples is small compared to that of convolutional neural network(CNN)based classifier. | Jiaming Mao Mingming Zhang Mu Chen Lu Chen Fei Xia Lei Fan ZiXuan Wang Wenbing Zhao | 2021 | Computer Systems Science & Engineering2021，39，12： | 1 |
| 18 | Selective fraction of Atractylodes lancea (Thunb.) DC. and its growth inhibitory effect on human gastric cancer cells显示文摘 | Ming Zhao Qingqing Wang Zhen Ouyang Bangxing Han Wenbing Wang Yuan Wei Yan Wu Bing Yang | | Cytotechnology0，，2： | 1 |
| 19 | A concise tutorial on human motion tracking and recognition with Microsoft Kinect显示文摘This paper provides a concise tutorial on the Microsoft Kinect technology and the state of art research on human motion tracking and recognition with Microsoft Kinect. A pre-requisite for human motion recognition is feature extraction. There are two types of feature extraction methods: skeleton joint based, and depth/color image based. Given a set of feature vectors, a motion could be recognized using machine learning,direct comparison, or rule-based methods. We also outline future research directions on the Kinect technology. | Wenbing ZHAO | 2016 | Science China(Information Sciences)2016，59，9： | 0 |
| 20 | In vitro Propagation of Codonopsis pilosula'Fengdang'显示文摘[Objectives]The paper was to establish in vitro propagation of an excellent germplasm of Codonopsis pilosula'Fengdang'.[Methods]The effects of different plant growth regulators on callus induction and redifferentiation were tested by using sterile stem explants in vitro that germinated from seeds of superior'Fengdang'plant.[Results]The optimum medium for callus induction was MS+0.5 mg/L NAA+1.0 mg/L 16-BA.The optimal medium for bud differentiation was MS+0.1 mg/L NAA+0.5 mg/L 6-BA,and that for rooting was 1/2 MS+0.2 mg/L NAA+0.2 mg/L IBA.By using the media mentioned above,the rates of callus induction,bud differentiation and rooting reached 91%,100%and 97%,respectively.[Conclusions]The rapid propagation system of regenerated plants in vitro established in this study lays a foundation for the popularization and industrialized seedling of excellent germplasm of'Fengdang'. | Jianyun ZHOU Wenbing ZHAO Jian ZHOU | 2022 | Medicinal Plant2022，13，6： | 0 |
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