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| 1 | Isolation, Identification and Pathogenicity Analysis of Streptococcus suis Type 2显示文摘[Objectives]This study aimed to investigate the pathogenicity,growth characteristics and drug resistance of Streptococcus suis type 2.[Methods]Bacterial isolation and identification,biochemical experiments,determination of growth curve and correlation curve between OD 600 values and viable counts,drug susceptibility tests,pathogenicity analysis,and histopathological observations were carried out.[Results]The Streptococcus strain isolated from infected pigs was identified as Streptococcus suis type 2,which was named TA01 strain.TA01 strain reached the growth peak at 6-8 h post-incubation,and viable counts gradually declined after 8 h of incubation.The correlation equation between OD 600 values and viable counts is y=24.659 x-1.076 1,R^2=0.996 7.TA01 strain was sensitive to penicillin,erythromycin,florfenicol and oxacillin,and resistant to ciprofloxacin,polymyxin B and clindamycin.According to the results of pathogenicity analysis,all the mice in 3.6×10^9 cfu/mouse group died within 48,and these dead mice exhibited acute pyaemia septica.Based on the Reed-Muench formula,it was calculated that LD 50 of TA01 strain was 1.137×10^8 cfu/mouse.Pathological examination showed obvious blue-stained bacteria clusters,accompanied by neutrophil infiltration.[Conclusions]TA01 strain was a virulent strain of Streptococcus suis type 2.Compared with Streptococcus strains which were isolated and reported in China,TA01 strain exhibited strong virulence and rapid proliferation. | Zicheng MA Yan LI Jinyuan GU Tao PENG Zhaohu LIU Hongyu WANG Fanliang MENG Fangkun WANG Sidang LIU | 2019 | Agricultural Biotechnology2019，8，4： | 3 |
| 2 | Digital medical education empowered by intelligent fabric space显示文摘Medical education plays an important role in promoting the development of global medical science.Nevertheless,the intrinsic gap existing between institutional medical teaching and practical clinical tasks causes low education efficiency and students’weak initiative.Recent developments of sensing fabric and embedded computing,along with the advances in artificial intelligence(AI)and digital twin technology are paving the way for the transformation of medical research towards digitization.In this work,we present an intelligent fabric space based on novel functional fabric materials and digital twin networking enabled by 5G and internet of things(IoT)technologies.In this space,medical students can learn knowledge with collaborative mapping of the digital and real world,cyber-physical interaction and real-time tactile feedback.And the proposed service system will evaluate and feedback students’operational behaviors to improve their experimental skills.We provide four typical applications of intelligent fabric space for medical education,including medical education training,health and behavior tracking,operation playback and reproduction,as well as medical knowledge popularization.The proposed intelligent fabric space has the potential to promote innovative technologies for training cutting-edge medical students by effective and efficient ways. | Min Chen Rui Wang Rui Wang Yingting Zhou Zicheng He Xiaojuan Liu Muyao He Jiaxi Wang Chaolin Huang Huamin Zhou Ping Hong Chong Hou Ning Zhou Dingyu Zhang Guangming Tao | 2022 | National Science Open2022，1，1： | 2 |
| 3 | Long-term variations and causal factors in nitrogen and phosphorus transport in the Yellow River, China显示文摘 | Yu Tao Meng Wei Edwin Ongley Zicheng Li Chen Jingsheng | 2009 | Estuarine, Coastal and Shelf Science2009，，3： | 2 |
| 4 | Compact intense electron-beam accelerators based on high energy density liquid pulse forming lines显示文摘This paper provides a review of the compact intense electron-beam accelerators (IEBAs) based on liquid pulse forming lines (PFLs) that havebeen developed at the National University of Defense Technology (NUDT) in China. The history and roadmap of the compact IEBAs used todrive high-power microwave (HPM) devices at NUDT are reviewed. The properties of both de-ionized water and glycerin as energy storagemedia are presented. Research into the breakdown properties of liquid dielectrics and the desire to maximize energy storage have resulted in theinvention of several coaxial PFLs with different electromagnetic structures, which are detailed in this paper. These high energy density liquidPFLs have been used to increase the performance of IEBA subsystems, based on which the SPARK (Single Pulse Accelerator with spark gaps)and HEART (High Energy-density Accelerator with Repetitive Transformer) series of IEBAs were constructed. This paper also discusses howthese compact IEBAs have been used to drive typical HPM devices and concludes by summarizing the associated achievements and theconclusions that can be drawn from the results. | Jianhua Yang Zicheng Zhang Hanwu Yang Jun Zhang Jinliang Liu Yi Yin Tao Xun Xinbing Cheng Yuwei Fan Zhenxing Jin Jinchuan Ju | 2018 | Matter and Radiation at Extremes2018，3，6： | 2 |
| 5 | Dual interfacial engineering for efficient Cs_(2)AgBiBr_(6) based solar cells显示文摘The emerging lead-free halide double perovskite solar cells have attracted widespread attentions due to their long-term stability and non-toxicity, but suffer from the low device performance. One efficiencylimiting factor is the improper contacts between the halide double perovskite and anode/cathode electrodes. Here, we improve the efficiency and stability of the bismuth-halide double perovskite based solar cells by a synergistic interface design for both electron and hole transport layers(ETL/HTL). The results show that the modification of the TiO_2 ETL with a thin hydrophobic C60 layer and replacement of the lithium-doped small molecule HTL with an un-doped conjugated polymer lead to higher surface quality of perovskite film and better energy-level alignment at the contacts. As a result, the optimized device shows reduced trap density, suppressed charge recombination and enhanced charge extraction, leading to an increase of 69% in device efficiency. In addition, the device also exhibits superior stability in ambient environment, heat stress and light bias after interface optimization. This work provides an efficient strategy for the device optimization of the emerging lead-free perovskite solar cells. | Tao Luo Yalan Zhang Xiaoming Chang Junjie Fang Tianqi Niu Jing Lu Yuanyuan Fan Zicheng Ding Kui Zhao Shengzhong(Frank)Liu | 2021 | Journal of Energy Chemistry2021，30，2： | 1 |
| 6 | Long-term variations and causal factors in nitrogen and phosphorus transport in the Yellow River, China显示文摘 | Yu Tao Meng Wei Edwin Ongley Zicheng Li Chen Jingsheng | 2009 | Estuarine Coastal and Shelf Science2009，，3： | 1 |
| 7 | Simvastatin attenuates TNF?α?induced apoptosis in endothelial progenitorcells via the upregulation of SIRT1显示文摘 | Gang Du Yunlin Song Tao Zhang Long Ma Ning Bian Xiaoming Chen Jianyi Feng Qing Chang Zicheng Li | 2014 | International Journal of Molecular Medicine2014，，1： | 1 |
| 8 | Hybrid model for BOF oxygen blowing time prediction based on oxygen balance mechanism and deep neural network显示文摘The amount of oxygen blown into the converter is one of the key parameters for the control of the converter blowing process,which directly affects the tap-to-tap time of converter. In this study, a hybrid model based on oxygen balance mechanism (OBM) and deep neural network (DNN) was established for predicting oxygen blowing time in converter. A three-step method was utilized in the hybrid model. First, the oxygen consumption volume was predicted by the OBM model and DNN model, respectively. Second, a more accurate oxygen consumption volume was obtained by integrating the OBM model and DNN model. Finally, the converter oxygen blowing time was calculated according to the oxygen consumption volume and the oxygen supply intensity of each heat. The proposed hybrid model was verified using the actual data collected from an integrated steel plant in China, and compared with multiple linear regression model, OBM model, and neural network model including extreme learning machine, back propagation neural network, and DNN. The test results indicate that the hybrid model with a network structure of 3 hidden layer layers, 32-16-8 neurons per hidden layer, and 0.1 learning rate has the best prediction accuracy and stronger generalization ability compared with other models. The predicted hit ratio of oxygen consumption volume within the error±300 m^(3)is 96.67%;determination coefficient (R^(2)) and root mean square error (RMSE) are0.6984 and 150.03 m^(3), respectively. The oxygen blow time prediction hit ratio within the error±0.6 min is 89.50%;R2and RMSE are0.9486 and 0.3592 min, respectively. As a result, the proposed model can effectively predict the oxygen consumption volume and oxygen blowing time in the converter. | Xin Shao Qing Liu Zicheng Xin Jiangshan Zhang Tao Zhou Shaoshuai Li | 2024 | International Journal of Minerals,Metallurgy and Materials2024，31，1： | 0 |
| 9 | Experimental observation of multiple topological nodal structure in LaSb_(2)显示文摘Unconventional fermions in the immensely studied topological semimetals are the source for rich exotic topological properties.Here,using symmetry analysis and first-principles calculations,we propose the coexistence of multiple topological nodal structure in LaSb_(2),including topological nodal surfaces,nodal lines and in particular eightfold degenerate nodal points,which have been scarcely observed in a single material.Further,utilizing angle-resolved photoemission spectroscopy,we confirm the existence of nodal surfaces and eightfold degenerate nodal points in LaSb_(2).The intriguing multiple topological nodal structure might play a crucial role in giving rise to the large linear magnetoresistance.Our work renews the insights into the exotic topological phenomena in LaSb_(2). | Yuxi Qiao Fuyi Wang Huaiqiang Wang Zicheng Tao Zhicheng Jiang Zhengtai Liu Soohyun Cho Fayuan Zhang Qingkai Meng Wei Xia Yichen Yang Zhe Huang Jishan Liu Zhonghao Liu Zengwei Zhu Shan Qiao Yanfeng Guo Haijun Zhang Dawei Shen | 2024 | Science China(Physics,Mechanics & Astronomy)2024，67，4： | 0 |
| 10 | Wearable and interactive multicolored photochromic fiber display显示文摘Endowing flexible and adaptable fiber devices with light-emitting capabilities has the potential to revolutionize the current design philosophy of intelligent,wearable interactive devices.However,significant challenges remain in developing fiber devices when it comes to achieving uniform and customizable light effects while utilizing lightweight hardware.Here,we introduce a mass-produced,wearable,and interactive photochromic fiber that provides uniform multicolored light control.We designed independent waveguides inside the fiber to maintain total internal reflection of light as it traverses the fiber.The impact of excessive light leakage on the overall illuminance can be reduced by utilizing the saturable absorption effect of fluorescent materials to ensure light emission uniformity along the transmission direction.In addition,we coupled various fluorescent composite materials inside the fiber to achieve artificially controllable spectral radiation of multiple color systems in a single fiber.We prepared fibers on mass-produced kilometer-long using the thermal drawing method.The fibers can be directly integrated into daily wearable devices or clothing in various patterns and combined with other signal input components to control and display patterns as needed.This work provides a new perspective and inspiration to the existing field of fiber display interaction,paving the way for future human–machine integration. | Pan Li Yuwei Wang Xiaoxian He Yuyang Cui Jingyu Ouyang Ju Ouyang Zicheng He Jiayu Hu Xiaojuan Liu Hang Wei Yu Wang Xiaoling Lu Qian Ji Xinyuan Cai Li Liu Chong Hou Ning Zhou Shaowu Pan Xiangru Wang Huamin Zhou Cheng-Wei Qiu Yan-Qing Lu Guangming Tao | 2024 | Light(Science & Applications)2024，13，3： | 0 |
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