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| 1 | Bph30confers resistance to brown planthopperby fortifying sclerenchyma in rice leaf sheaths显示文摘Phloem-feeding insects cause massive losses in agriculture and horticulture.Host plant resistance to phloem-feeding insects is often mediated by changes in phloem composition,which deter insect settling and feeding and decrease viability.Here,we report that rice plant resistance to the phloem-feeding brown planthopper(BPH)is associated with fortification of the sclerenchyma tissue,which is located just beneath the epidermis and a cell layer or two away from the vascular bundle in the rice leaf sheath.We found that BPHs prefer to feed on the smooth and soft region on the surface of rice leaf sheaths called the long-cell block.We identified Bph30 as a rice BPH resistance gene that prevents BPH stylets from reaching the phloem due to the fortified sclerenchyma.Bph30 is strongly expressed in sclerenchyma cells and enhances cellulose and hemicellulose synthesis,making the cell walls stiffer and sclerenchyma thicker.The structurally fortified sclerenchyma is a formidable barrier preventing BPH stylets from penetrating the leaf sheath tissues and arriving at the phloem to feed.Bph30 belongs to a novel gene family,encoding a protein with two leucine-rich domains.Another member of the family,Bph40,also conferred resistance to BPH.Collectively,the fortified sclerenchyma-mediated resistance mechanism revealed in this study expands our understanding of plant-insect interactions and opens a new path for controlling planthoppers in rice. | Shaojie Shi Huiying Wang Lingyun Nie Di Tan Cong Zhou Qian Zhang YiLi Bo Du Jianping Guo Jin Huang DiWu Xiaohong Zheng Wei Guan Junhan Shan Lili Zhu Rongzhi Chen Longjian Xue Linda L.Walling Guangcun He | 2021 | Molecular Plant2021，14，10： | 7 |
| 2 | A Novel Strategy to Fabricate Core-Sheath Structure Piezoelectric Yarns for Wearable Energy Harvesters显示文摘Wearable and portable electronic devices based on textile structure have been widely used owing to their wearability and comfortableness.However,yarn fineness and the comfort of the fabric cannot satisfy the requirements of smart wearable devices.This work presents a novel strategy to prepare highly integrated PVDF/conductive nylon core-sheath structure piezoelectric yarns for wearable which is fabricated by combining electrospinning strategy with 2D braiding technology.The fineness of single yarns as well as strength are both improved significantly compared to previous works.The piezoelectric outputs of the yarn are still stable after 800 s fatigue test at a frequency of 4 Hz,and the cycle stability can maintain more than 3200 cycles.Furthermore,the piezoelectric yarns are further woven into piezoelectric plain fabric.According to the electrical performance,the length of the piezoelectric yarn and the thickness of the piezoelectric layer would both affect the output electrical performance.The yarn of the 10 cm in length and 600μm in fineness can produce an output voltage of 120 mV.Meanwhile,Both the piezoelectric yarn and the fabric could generate piezoelectric output signals through human movement,such as bending,walking.Therefore,the electrical and mechanical performance of the piezoelectric yarns prepared in our work could be improved significantly,and the comfortableness and durability performance of the piezoelectric fabric can satisfy most wearing requirements,which would provide some help in the field of piezoelectric wearable devices based on yarns and fabrics. | Lili Xue Wei Fan Yang Yu Kai Dong Chengkun Liu Yanli Sun Cong Zhang Weichun Chen Ruixin Lei Kai Rong Qi Wang | 2021 | Advanced Fiber Materials2021，3，4： | 3 |
| 3 | A Novel Combinational Convolutional Neural Network for Automatic Food-Ingredient Classification显示文摘With the development of deep learning and Convolutional Neural Networks(CNNs),the accuracy of automatic food recognition based on visual data have significantly improved.Some research studies have shown that the deeper the model is,the higher the accuracy is.However,very deep neural networks would be affected by the overfitting problem and also consume huge computing resources.In this paper,a new classification scheme is proposed for automatic food-ingredient recognition based on deep learning.We construct an up-to-date combinational convolutional neural network(CBNet)with a subnet merging technique.Firstly,two different neural networks are utilized for learning interested features.Then,a well-designed feature fusion component aggregates the features from subnetworks,further extracting richer and more precise features for image classification.In order to learn more complementary features,the corresponding fusion strategies are also proposed,including auxiliary classifiers and hyperparameters setting.Finally,CBNet based on the well-known VGGNet,ResNet and DenseNet is evaluated on a dataset including 41 major categories of food ingredients and 100 images for each category.Theoretical analysis and experimental results demonstrate that CBNet achieves promising accuracy for multi-class classification and improves the performance of convolutional neural networks. | Lili Pan Cong Li Samira Pouyanfar Rongyu Chen Yan Zhou | 2020 | Computers, Materials & Continua2020，，2： | 3 |
| 4 | Image Augmentation-Based Food Recognition with Convolutional Neural Networks显示文摘Image retrieval for food ingredients is important work,tremendously tiring,uninteresting,and expensive.Computer vision systems have extraordinary advancements in image retrieval with CNNs skills.But it is not feasible for small-size food datasets using convolutional neural networks directly.In this study,a novel image retrieval approach is presented for small and medium-scale food datasets,which both augments images utilizing image transformation techniques to enlarge the size of datasets,and promotes the average accuracy of food recognition with state-of-the-art deep learning technologies.First,typical image transformation techniques are used to augment food images.Then transfer learning technology based on deep learning is applied to extract image features.Finally,a food recognition algorithm is leveraged on extracted deepfeature vectors.The presented image-retrieval architecture is analyzed based on a smallscale food dataset which is composed of forty-one categories of food ingredients and one hundred pictures for each category.Extensive experimental results demonstrate the advantages of image-augmentation architecture for small and medium datasets using deep learning.The novel approach combines image augmentation,ResNet feature vectors,and SMO classification,and shows its superiority for food detection of small/medium-scale datasets with comprehensive experiments. | Lili Pan Jiaohua Qin Hao Chen Xuyu Xiang Cong Li Ran Chen | 2019 | Computers, Materials & Continua2019，，4： | 2 |
| 5 | Smart drug delivery systems for precise cancer therapy显示文摘Nano-drug delivery strategies have been highlighted in cancer treatment, and much effort has been made in the optimization of bioavailability, biocompatibility, pharmacokinetics profiles, and in vivo distributions of anticancer nano-drug delivery systems. However, problems still exist in the delicate balance between improved anticancer efficacy and reduced toxicity to normal tissues, and opportunities arise along with the development of smart stimuli-responsive delivery strategies. By on-demand responsiveness towards exogenous or endogenous stimulus, these smart delivery systems hold promise for advanced tumor-specificity as well as controllable release behavior in a spatial-temporal manner. Meanwhile, the blossom of nanotechnology, material sciences, and biomedical sciences has shed light on the diverse modern drug delivery systems with smart characteristics, versatile functions, and modification possibilities. This review summarizes the current progress in various strategies for smart drug delivery systems against malignancies and introduces the representative endogenous and exogenous stimuli-responsive smart delivery systems. It may provide references for researchers in the fields of drug delivery, biomaterials, and nanotechnology. | Xiaoyou Wang Chong Li Yiguang Wang Huabing Chen Xinxin Zhang Cong Luo Wenhu Zhou Lili Li Lesheng Teng Haijun Yu Jiancheng Wang | 2022 | Acta Pharmaceutica Sinica B2022，12，11： | 2 |
| 6 | Balancing selection and wild gene pool contribute to resistance in global rice germplasm against planthopper显示文摘Interactions and co-evolution between plants and herbivorous insects are critically important in agriculture.Brown planthopper(BPH)is the most severe insect of rice,and the biotypes adapt to feed on different rice genotypes.Here,we present genomics analyses on 1,520 global rice germplasms for resistance to three BPH biotypes.Genome-wide association studies identified 3,502 single nucleotide polymorphisms(SNPs)and 59 loci associated with BPH resistance in rice.We cloned a previously unidentified gene Bph37 that confers resistance to BPH.The associated loci showed high nucleotide diversity.Genome-wide scans for trans-species polymorphisms revealed ancient balancing selection at the loci.The secondarily evolved insect biotypes II and III exhibited significantly higher virulence and overcame more rice varieties than the primary biotype I.In response,more SNPs and loci evolved in rice for resistance to biotypes II and III.Notably,three exceptional large regions with high SNP density and resistance-associated loci on chromosomes 4 and 6 appear distinct between the resistant and susceptible rice varieties.Surprisingly,these regions in resistant rice might have been retained from wild species Oryza nivara.Our findings expand the understanding of long-term interactions between rice and BPH and provide resistance genes and germplasm resources for breeding durable BPH-resistant rice varieties. | Cong Zhou Qian Zhang Yu Chen Jin Huang Qin Guo Yi Li Wensheng Wang Yongfu Qiu Wei Guan Jing Zhang Jianping Guo Shaojie Shi Di Wu Xiaohong Zheng Lingyun Nie Jiaoyan Tan Chaomei Huang Yinhua Ma Fang Yang Xiqin Fu Bo Du Lili Zhu Rongzhi Chen Zhikang Li Longping Yuan Guangcun He | 2021 | Journal of Integrative Plant Biology2021，63，10： | 2 |
| 7 | Event-Related Potentials Measurement of Perception to 3D Motion in Depth显示文摘An approach to the direct measure of stereoscopic(3D) videos with different accelerations was presented,using electroencephalography(EEG).In the study,subjects viewed 1-sec-long video clips with a stone approaching straightforward and were required to perceive whether they were able to catch the outline of stone.Peak amplitude of each part was extracted from P03 electrode located at the occipital region corresponding visual processing and cognition.Three components were conspicuously observed in the periods:650-800 ms,800-900 ms and 1150-1250 ms,which were called N310,N480 and N810 in this paper.N310 related to the perception to the initial stage of movement.Movement indepth could be immediately perceived when initial speed was not less than 3 m/s.N480 related to the perception to acceleration/deceleration.N810 related to the perception to the point a movement was about to vanish.Subjects couldn't perceive the outline with the final speed more than 3 m/s.For 3 m/s,subjects were in a dilemma to judge with the detecting rate 54%.Together,component analysis combined with behavioral results,it was supposed that 3 m/s to be the threshold to completely perceive the outline. | SHEN Lili DU Weirong WANG Cong YUE Guanghui | 2015 | China Communications2015，12，5： | 1 |
| 8 | In situ apolipoprotein E-enriched corona guides dihydroartemisinin-decorating nanoparticles towards LDLr-mediated tumor-homing chemotherapy显示文摘The therapeutic efficiency of active targeting nanoparticulate drug delivery systems(nano-DDS)is highly compromised by the plasma proteins adsorption on nanoparticles(NPs)surface,which significantly hinders cell membrane receptors to recognize the designed ligands,and provokes the off-target toxicity and rapid clearance of NPs in vivo.Herein,we report a novel dihydroartemisinin(DHA)-decorating nano-DDS that in situ specifically recruits endogenous apolipoprotein E(apoE)on the NPs surface.The apoE-anchored corona is able to prolong PLGA-PEG2000-DHA(PPD)NPs circulation capability in blood,facilitate NPs accumulating in tumor cells by the passive enhanced permeability and retention(EPR)effect and low-density lipoprotein receptor(LDLr)-mediated target transport,and ultimately improve the in vivo antitumor activity.Our findings demonstrate that the strategy of in situ regulated apoE-enriched corona ensures NPs an efficient LDLr-mediated tumor-homing chemotherapy. | Zhenbao Li Jiaojiao Zhu Yongqi Wang Mei Zhou Dan Li Shunzhe Zheng LiLi Yin Cong Luo Huicong Zhang Lu Zhong Wei Li JianWang Shuangying Gui Biao Cai Yongjun Wang Jin Sun | 2020 | Asian Journal of Pharmaceutical Sciences2020，15，4： | 1 |
| 9 | Identification of rice Di19 family reveals OsDi19 - 4 involved in drought resistance显示文摘 | Lili Wang Changchun Yu Cong Chen Chunlan He Yingguo Zhu Wenchao Huang | 2014 | Plant Cell Reports2014，，12： | 1 |
| 10 | Antidepressant-like effects of the histone deacetylase inhibitor, sodium butyrate,in the mouse显示文摘 | Frederick A Schroeder Cong Lily Lin Wim E Crusio | 2007 | Biol Psychiatry2007，62，1： | 1 |
| 11 | Inhibition of cathepsin B protects pancreatic acinar cells against apoptosis in early pancreatic trauma in rats显示文摘Objectives:To observe the protective effect of cathepsin B inhibition against apoptosis of acinar cells in the early management of pancreatic contusion and laceration in rats,which would provide evidence of a potential early therapeutic for pancreatic contusion and laceration.Methods:Twenty-four rats were assigned to 2 groups:1)Model(n=12)with an induced pancreatic injury of severity I-II and 2)CA074-V(n=12):an induced pancreatic injury,severity I-II treated with the cathepsin B inhibitor CA074-me(0.01mg/g)by intravenous administration through the caudal vein at 5minutes post model establishment.The mice in these two groups were further randomly divided into 4 subgroups containing 3 rats each that were sacrificed for quantitation of apoptosis,immunohistochemistry of cathepsin B,and serum amylase and lipase measurements at different time points after model establishment(0,3,6,and 12hours).Results:The percentage of apoptotic pancreatic acinar cells collected from the injured tissues were much lower in the CA074-V group than the Model group at 3hours[9.25±3.94%vs.64.76±26.47%,P<0.10]and 6hours[14.71±8.22%vs.66.60±13.54%,P<0.10]post model establishment.The percentage of cathepsin B-positive pancreatic acinar cells were much lower in the CA074-V group than in the Model group at 3hours[31.07±12.02%vs.69.16±5.71%,P<0.10],6hours[24.84±0.93%vs.47.06±0.91%,P<0.10],and 12hours[28.33±9.14%vs.52.72±1.25%,P<0.10]post model establishment.Conclusions:Early cathepsin B inhibition effectively blocked acinar cell apoptosis in an experimental rat model of pancreatic contusion and laceration. | Cong Feng Lili Wang Jingyang Peng Xiang Cui Xuan Zhou | 2022 | Emergency and Critical Care Medicine2022，2，1： | 1 |
| 12 | Lipidomic analyses reveal enhanced lipolysis in planthoppers feeding on resistant host plants显示文摘The brown planthopper(BPH)(Nilaparvata lugens St?l)is a highly destructive pest that seriously damages rice(Oryza sativa L.)and causes severe yield losses.To better understand the physiological and metabolic mechanisms through which BPHs respond to resistant rice,we combined mass-spectrometry-based lipidomics with transcriptomic analysis and gene knockdown techniques to compare the lipidomes of BPHs feeding on either of the two resistant(NIL-Bph6 and NIL-Bph9)plants or a wild-type,BPH susceptible(9311)plant.Insects that were fed on resistant rice transformed triglyceride(TG)to phosphatidylcholine(PC)and digalactosyldiacylglycerol(DGDG),with these lipid classes showing significant alterations in fatty acid composition.Moreover,the insects that were fed on resistant rice were characterized by prominent expression changes in genes involved in lipid metabolism processes.Knockdown of the NlBmm gene,which encodes a lipase that regulates the mobilization of lipid reserves,significantly increased TG content and feeding performance of BPHs on resistant plants relative to dsGFP-injected BPHs.Our study provides the first detailed description of lipid changes in BPHs fed on resistant and susceptible rice genotypes.Results from BPHs fed on resistant rice plants reveal that these insects can accelerate TG mobilization to provide energy for cell proliferation,body maintenance,growth and oviposition. | Xiaohong Zheng Yeyun Xin Yaxin Peng Junhan Shan Ning Zhang Di Wu Jianping Guo Jin Huang Wei Guan Shaojie Shi Cong Zhou Rongzhi Chen Bo Du Lili Zhu Fang Yang Xiqin Fu Longping Yuan Guangcun He | 2021 | Science China(Life Sciences)2021，64，9： | 1 |
| 13 | An Improved Deep Fusion CNN for Image Recognition显示文摘With the development of Deep Convolutional Neural Networks(DCNNs),the extracted features for image recognition tasks have shifted from low-level features to the high-level semantic features of DCNNs.Previous studies have shown that the deeper the network is,the more abstract the features are.However,the recognition ability of deep features would be limited by insufficient training samples.To address this problem,this paper derives an improved Deep Fusion Convolutional Neural Network(DF-Net)which can make full use of the differences and complementarities during network learning and enhance feature expression under the condition of limited datasets.Specifically,DF-Net organizes two identical subnets to extract features from the input image in parallel,and then a well-designed fusion module is introduced to the deep layer of DF-Net to fuse the subnet’s features in multi-scale.Thus,the more complex mappings are created and the more abundant and accurate fusion features can be extracted to improve recognition accuracy.Furthermore,a corresponding training strategy is also proposed to speed up the convergence and reduce the computation overhead of network training.Finally,DF-Nets based on the well-known ResNet,DenseNet and MobileNetV2 are evaluated on CIFAR100,Stanford Dogs,and UECFOOD-100.Theoretical analysis and experimental results strongly demonstrate that DF-Net enhances the performance of DCNNs and increases the accuracy of image recognition. | Rongyu Chen Lili Pan Cong Li Yan Zhou Aibin Chen Eric Beckman | 2020 | Computers, Materials & Continua2020，，11： | 0 |
| 14 | A novel machine learning-assisted clinical diagnosis support model for early identification of pancreatic injuries in patients with blunt abdominal trauma:a cross-national study显示文摘Background:The recognition of pancreatic injury in blunt abdominal trauma is often severely delayed in clinical practice.The aim of this study was to develop a machine learning model to support clinical diagnosis for early detection of abdominal trauma.Methods:We retrospectively analyzed of a large intensive care unit database(Medical Information Mart for Intensive Care[MIMIC]-IV)for model development and internal validation of the model,and performed outer validation based on a cross-national data set.Logistic regres-sion was used to develop three models(PI-12,PI-12-2,and PI-24).Univariate and multivariate analyses were used to determine variables in each model.The primary outcome was early detection of a pancreatic injury of any grade in patients with blunt abdominal trauma in the first 24 hours after hospitalization.Results:The incidence of pancreatic injuries was 5.56%(n=18)and 6.06%(n=6)in the development(n=324)and internal validation(n=99)cohorts,respectively.Internal validation cohort showed good discrimination with an area under the receiver operator characteristic curve(AUC)value of 0.84(95%confidence interval[CI]:0.71–0.96)for PI-24.PI-24 had the best AUC,specificity,and positive predictive value(PPV)of all models,and thus it was chosen as the final model to support clinical diagnosis.PI-24 performed well in the outer validation cohort with an AUC value of 0.82(95%CI:0.65–0.98),specificity of 0.97(95%CI:0.91–1.00),and PPV of 0.67(95%CI:0.00–1.00).Conclusion:A novel machine learning-based model was developed to support clinical diagnosis to detect pancreatic injuries in patients with blunt abdominal trauma at an early stage. | Sai Huang Xuan Zhang Bo Yang Yue Teng Li Mao Lili Wang Jing Wang Xuan Zhou Li Chen Yuan Yao Cong Feng | 2023 | Emergency and Critical Care Medicine2023，3，4： | 0 |
| 15 | Boosting a sub-10 nm nanogap array by plasmon-triggered waveguide resonance显示文摘Gap-type metallic nanostructures are widely used in catalytic reactions,sensors,and photonics because the hotspot effect on these nanostructures supports giant local electromagnetic field enhancement.To achieve hotspots,researchers devote themselves to reducing gap distances,even to 1 nm.However,current techniques to fabricate such narrow gaps in large areas are still challenging.Herein,a new coupling way to boost the sub-10 nm plasmonic nanogap array is developed,based on the plasmon-triggered optical waveguide resonance via near-field coupling.This effect leads to an amplified local electromagnetic field within the gap regions equivalent to narrower gaps,which is evidenced experimentally by the surface-enhanced Raman scattering intensity of probed molecules located in the gap and the finite-difference time-domain numerical simulation results.This study provides a universal strategy to promote the performance of the existing hotspot configurations without changing their geometries. | YU TIAN HAILONG WANG YIJIA GENG LILI CONG YU LIU WEIQING XU SHUPING XU | 2020 | Photonics Research2020，8，12： | 0 |
| 16 | Effects of operating conditions and pre-densification on the torrefaction products of sorghum straw显示文摘The effects of operating conditions and pre-densification on the torrefaction performance parameters and the properties of the torrefied sorghum straw were studied.A full-factor experiment was performed on a fixed tube furnace,in which sorghum straw powder and pellets were heated to 230℃,260℃,280℃ and 300℃ at 2.5℃/min,5℃/min and 7.5℃/min,respectively.The pyrolysis characteristics of the sorghum straw torrefied under various operating conditions were complemented by thermogravimetric analysis.It was observed that the high temperature led to the high calorific value of the torrefied sorghum straw with an acceptable mass and energy yield.The sorghum straw torrefied at a temperature above 280℃ had a higher heating value(HHV)that was comparable to that of the low rank coal while maintaining its energy yield above 85%.The results suggested that temperature was an important factor determining the properties of the torrefied products,and the heating rate would affect the internal temperature of the torrefied biomass by affecting the heat transfer during the torrefaction.The energy densification index of the pellets decreased uniformly as the heating rate increased proportionally,indicating that pre-densification can be used as a potential method to solve the heat transfer delay in the fixed reactors at high heating rates,especially for high temperatures. | Xuanzuo Liu Zonglu Yao Hongbin Cong Lixin Zhao Lili Huo Jinchun Song | 2020 | International Journal of Agricultural and Biological Engineering2020，13，4： | 0 |
| 17 | Evaluation of different clean heat supply modes based on crop straws in the rural area of Northern China显示文摘This study evaluated eight different types of heat supply modes based on crop residues utilization in the rural area of Northern China,including straw densified solid fuel combustion,pyrolysis char combustion,biogas combustion,and pyrolysis gas combustion for single household heating;straw densified solid fuel combustion,baling straw combustion,biogas combustion,and pyrolysis gas combustion for centralized heating;centralized gas supply and centralized pyrolysis gas supply modes.Comprehensively evaluation was the cost of these different eight heat supply modes.The results showed that the cost of straw densified solid fuel combustion,pyrolysis char combustion for single household heating were 2346 RMB/household and 2390 RMB/household.With the heating scale of 200-500 households,the pipe network distance was 8 m/household,and the total annual heating cost was predicted at 2201-2992 RMB/household.Among them,the cost of straw baling combustion for centralized heating was the lowest,the cost of densified solid fuel,biogas,and pyrolysis for centralized heating was the second,and the cost of biogas and pyrolysis gas for centralized gas supply was the highest.For the increase in every 1 m of the pipeline distance,the investment cost will increase by about 645 RMB for each household.This study provides a basis for the implementation of clean heat supply technologies in less-developed areas and guidance of village heat-supply subsidy policies. | Lili Huo Zonglu Yao Jixiu Jia Lixin Zhao Hongbin Cong Haibo Meng Yanwen Yuan | 2020 | International Journal of Agricultural and Biological Engineering2020，13，5： | 0 |
| 18 | Transdermal Study of Curcumin Solid Dispersion Microneedles in vitro显示文摘[Objectives]To investigate the in vitro transdermal effect of curcumin solid dispersion needles prepared with povidone K 30(PVP K30),polyethylene glycol 6000(PEG 6000)and poloxamer 188(block polyether F68,poloxamer 188,F68)as carrier matrix,respectively.[Methods]Vertical Franz diffusion cell and HPLC method were used to detect the cumulative penetration and skin retention of the microneedles within 12 h.[Results]Within 12 h,the cumulative penetration of PVP K30 microneedles was as high as 7.098μg/cm2,and the skin retention reached 35.28μg/cm2;PEG 6000 and poloxamer 188 microneedles all showed good transdermal effect;while normal curcumin solid dispersion(control)had no obvious transdermal effect.[Conclusions]The transdermal penetration of curcumin is improved after prepared into solid dispersion microneedles,and among different matrixes,PVP K30 is the best choice. | Jiao LUO Cong WANG Yuping MA Shengqian TIAN Jiayi DING Lili HE | 2021 | Medicinal Plant2021，12，2： | 0 |
| 19 | First Beam Commissioning of SSC-Linac as an Injector of SSC显示文摘The construction of the SSC-Linac has made significant progress in 2019.The first beam commissioning of SSC-Linac as an injector of the Separated Sector Cyclotron(SSC)was performed succssfully with ^(40)Ar^(7+) beam and the particle energy of 5.98 MeV/u was obtained at the exit of SSC on December 17,2019. | Du Heng Yin Xuejun Yang Weiqing Li Zhongshan Kong Qiyu Li Xiaoni Yang Shengli Qian Cheng WangHaoning Cong Yan Jin Peng Zhang Ruifeng Han Xiaodong Fu Xin Wang Kai Jing Long Zhang Yong Li Lili Xie Wenjun Xu Xiaowei Wang Shaoming Chen Wenjun Liu Xiaojun Yue Min An Jingrui Zhang Xiang Yan Huaihai Feng Anhui Zhang Shuai Zhang Yongbo Sun Peng Zhu Tieming Sha Xiaoping Xu Jianye Sun Xiaolong Su Xuemin Li Anping Yan Tailai Meng Jun Zhang Wei Wu Junxia Yao Qinggao Yang Yaqing Xu Zhe Sun Liangting Gao Daqing Yuan Youjin Yang Jiancheng Xia Jiawen | 2019 | IMP & HIRFL Annual Report2019，，1： | 0 |
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