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| 1 | Efficacy and safety of vitamin D3 in patients with diabetic nephropathy: a meta-analysis of randomized controlled trials显示文摘 | Zhao Junyu Dong Jianjun Wang Haipeng Shang Hongxia Zhang Dongmei Liao Lin | 2014 | Chinese Medical Journal2014，，15： | 9 |
| 2 | Advanced liquid crystal devices for augmented reality and virtual reality displays:principles and applications显示文摘Liquid crystal displays(LCDs)and photonic devices play a pivotal role to augmented reality(AR)and virtual reality(VR).The recently emerging high-dynamic-range(HDR)mini-LED backlit LCDs significantly boost the image quality and brightness and reduce the power consumption for VR displays.Such a light engine is particularly attractive for compensating the optical loss of pancake structure to achieve compact and lightweight VR headsets.On the other hand,high-resolution-density,and high-brightness liquid-crystal-on-siilicon(LCoS)is a promising image source for the see-through AR displays,especially under high ambient lighting conditions.Meanwhile,the high-speed LCoS spatial light modulators open a new door for holographic displays and focal surface displays.Finally,the ultrathin planar diffractive LC optical elements,such as geometric phase LC grating and lens,have found useful applications in AR and VR for enhancing resolution,widening fiield-of-view,suppressing chromatic aberrations,creating multiplanes to overcome the vergence-accommodation conflict,and dynamic pupil steering to achieve gaze-matched Maxwellian displays,just to name a few.The operation principles,potential applications,and future challenges of these advanced LC devices will be discussed. | Kun Yin En-Lin Hsiang Junyu Zou Yannanqi Li Zhiyong Yang Qian Yang Po-Cheng Lai Chih-Lung Lin Shin-Tson Wu | 2022 | Light(Science & Applications)2022，11，7： | 6 |
| 3 | A novel selective autophagy receptor,CCDC50,delivers K63 polyubiquitination-activated RIG-I/MDA5 for degradation during viral infection显示文摘Autophagy is a con served process that delivers cytosolic substa nces to the lysosome for degradatio n,but its direct role in the regulation of antiviral inn ate immu nity remains poorly un derstood.Here,through high-throughput screeni ng,we discovered that CCDC50 functions as a previously unknown autophagy receptor that negatively regulates the type I interferon(IFN)signaling pathway initiated by RIG-I-like receptors(RLRs),the sensors for RNA viruses.The expression of CCDC50 is enhanced by viral infection,and CCDC50 specifically recognizes K63-polyubiquitinated RLRs,thus delivering the activated RIG-I/MDA5 for autophagic degradation.The associatio n of CCDC50 with phagophore membrane protei n LC3 is con firmed by crystal structure analysis.In contrast to other known autophagic cargo receptors that associate with either the LIR-docking site(LDS)or the UIMdocking site(UDS)of LC3,CCDC50 can bind to both LDS and UDS,representing a new type of cargo receptor.In mouse models with RNA virus infection,CCDC50 deficiency reduces the autophagic degradation of RIG-I/MDA5 and promotes type I IFN responses,resulting in enhaneed viral resistance and improved survival rates.These results reveal a new link between autophagy and antiviral innate immune resp on ses and provide additional in sights into the regulatory mecha nisms of RLR-mediated antiviral signaling. | Panpan Hou Kongxiang Yang Penghui Jia Lan Liu Yuxin Lin Zibo Li Jun Li Shuliang Chen Shuting Guo Ji'An Pan Junyu Wu Hong Peng Weijie Zeng Chunmei Li Yingfang Liu Deyin Guo | 2021 | Cell Research2021，31，1： | 5 |
| 4 | Hybrid Semantic Service Matchmaking Method Based on a Random Forest显示文摘Semantic Service Matchmaking(SSM)can be leveraged for mining the most suitable service to accommodate a diversity of user demands.However,existing research on SSM mostly involves logical or non-logical matching,leading to unavoidable false-positive and false-negative problems.Combining different types of SSM methods is an effective way to improve this situation,but the adaptive combination of different service matching methods is still a difficult issue.To conquer this difficulty,a hybrid SSM method,which is based on a random forest and combines the advantages of existing SSM methods,is proposed in this paper.The result of each SSM method is treated as a multi-dimensional feature vector input for the random forest,converting the service matching into a two classification problem.Therefore,our method avoids the flaws found in manual threshold setting.Experimental results show that the proposed method achieves an outstanding performance. | Wei Jiang Junyu Lin Huiqiang Wang Shichen Zou | 2020 | Tsinghua Science and Technology2020，25，6： | 2 |
| 5 | Enlightenment from the COVID-19 Pandemic:The Roles of Environmental Factors in Future Public Health Emergency Response显示文摘The coronavirus disease 2019(COVID-19)pandemic is challenging the current public health emergency response systems(PHERSs)of many countries.Although environmental factors,such as those influencing the survival of viruses and their transmission between species including humans,play important roles in PHERSs,little attention has been given to these factors.This study describes and elucidates the roles of environmental factors in future PHERSs.To improve countries’capability to respond to public health emergencies associated with viral infections such as the COVID-19 pandemic,a number of environmental factors should be considered before,during,and after the responses to such emergencies.More specifically,to prevent pandemic outbreaks,we should strengthen environmental and wildlife protection,conduct detailed viral surveillance in animals and hotspots,and improve early-warning systems.During the pandemic,we must study the impacts of environmental factors on viral behaviors,develop control measures to minimize secondary environmental risks,and conduct timely assessments of viral risks and secondary environmental effects with a view to reducing the impacts of the pandemic on human health and on ecosystems.After the pandemic,we should further strengthen surveillance for viruses and the prevention of viral spread,maintain control measures for minimizing secondary environmental risks,develop our capability to scientifically predict pandemics and resurgences,and prepare for the next unexpected resurgence.Meanwhile,we should restore the normal life and production of the public based on the“One Health”concept,that views global human and environmental health as inextricably linked.Our recommendations are essential for improving nations’capability to respond to global public health emergencies. | Xiaolei Wang Fengchang Wu Xiaoli Zhao Xiao Zhang Junyu Wang Lin Niu Weigang Liang Kenneth Mei Yee Leung John P.Giesy | 2022 | Engineering2022，8，1： | 2 |
| 6 | A Differential Game Based Approach Against Objective Function Attack in Cognitive Networks显示文摘We study the problem of defense strategy against Objective function attack(OFA) in Cognitive networks(CNs), where the network can be operated at the optimal state by adapting the parameters of its objective function. An OFA attacker can disrupt the parameter adaptation by interfering measures, which results in some operating parameters of the objective function deviating from their optimal settings. We first model the interactive process between the OFA attacker and defense system using differential game theory, and propose a defense strategy by introducing a new metric, namely, threat factor. Then,we obtain the optimal defense strategy by proving the existence of the saddle point of the proposed model. Moreover,this defense strategy is scale-free such that it can conquer a large number of OFAs in a decentralized way. Finally, we conduct extensive simulations to show that the proposed approach is effective. | FENG Guangsheng LIN Junyu ZHAO Qian WANG Huiqiang LYU Hongwu ZHAO Xiaoyu HAN Jizhong LI Bingyang | 2018 | Chinese Journal of Electronics2018，27，4： | 2 |
| 7 | Insights into wing dimorphism in worldwide agricultural pest and hostalternating aphid Aphis gossypii显示文摘Background:The worldwide pest Aphis gossypii has three-winged morphs in its life cycle,namely,winged parthenogenetic female(WPF),winged gynopara(GP),and winged male,which are all produced by a wingless parthenogenetic female(WLPF).Most studies on A.gossypii have focused on WPF,while few have investigated GP and male.The shared molecular mechanism underlying the wing differentiation in the three wing morphs of A.gossypii remains unknown.The wing differentiation of WPF was explored in a previous study.Herein,GP and male were induced indoors.The characters of the body,internal genitals,wing veins,and fecundity of GP and male were compared with those of WPF or WLPF.Compared with WLPF,the shared and separate differentially expressed genes(DEGs)were identified in these three-wing morphs.Results:Newly-born nymphs reared in short photoperiod condition(8 L:16D,18°C)exclusively produced gynoparae(GPe)and males in adulthood successively,in which the sex ratio was GP biased.A total of 14 GPe and 9 males were produced by one mother aphid.Compared with WLPF,the three-wing morphs exhibited similar morphology and wing vein patterns but were obviously discriminated in the length of fore-and underwings,reproductive system,and fecundity.A total of 37090 annotated unigenes were obtained from libraries constructed using the four morphs via RNA sequencing(RNA-Seq).In addition,10867 and 19334 DEGs were identified in the pairwise comparison of GP versus WLPF and male versus WLPF,respectively.Compared with WLPF,the winged morphs demonstrated 2335 shared DEGs(1658 upregulated and 677 downregulated).The 1658 shared upregulated DEGs were enriched in multiple signaling pathways,including insulin,FoxO,MAPK,starch and sucrose metabolism,fatty acid biosynthesis,and degradation,suggesting their key roles in the regulation of wing plasticity in the cotton aphid.Forty-four genes that spanned the range of differential expression were chosen to validate statistical analysis based on RNA-Seq through the reverse transcription quantitative real time polymerase chain reaction(RT-qPCR).The comparison concurred with the expression pattern(either up-or downregulated)and supported the accuracy and reliability of RNA-Seq.Finally,the potential roles of DEGs related to the insulin signaling pathway in wing dimorphism were discussed in the cotton aphid.Conclusions:The present study established an efficiently standardized protocol for GP and male induction in cotton aphid by transferring newly-born nymphs to short photoperiod conditions(8 L:16D,18°C).The external morphological characters,especially wing vein patterns,were similar among WPFs,GPe,and males.However,their reproductive organs were strikingly different.Compared with WLPF,shared(2335)and exclusively(1470 in WLPF,2419 in GP,10774 male)expressed genes were identified in the three-wing morphs through RNA-Seq,and several signaling pathways that are potentially involved in their wing differentiation were obtained,including insulin signaling,starch and sucrose metabolism. | JI Jichao HUANGFU Ningbo LUO Junyu GAO Xueke NIU Lin ZHANG Shuai CUI Jinjie | 2021 | Journal of Cotton Research2021，4，1： | 2 |
| 8 | Fragile bits in palm print recognition显示文摘 | Zhang Lin Li Hongyu Niu Junyu | 2012 | IEEE Signal Processing Letters2012，19，10： | 1 |
| 9 | An Apporoach to Evaluationof Degree of Facial Paralysis based on Image Processing and Pat-tern Recognition显示文摘 | Junyu Dong Yang Lin Li-An Liu | 2008 | Journal of Information Systems2008，5，2： | 1 |
| 10 | Global existence for slightly compressible hydrodynamic flow of liquid crystals in two dimensions显示文摘In two dimensions,we study the compressible hydrodynamic flow of liquid crystals with periodic boundary conditions.As shown by Ding et al.(2013),when the parameterλ→∞,the solutions to the compressible liquid crystal system approximate that of the incompressible one.Furthermore,Ding et al.(2013)proved that the regular incompressible limit solution is global in time with small enough initial data.In this paper,we show that the solution to the compressible liquid crystal flow also exists for all time,provided thatλis sufciently large and the initial data are almost incompressible. | DING ShiJin HUANG JinRui LIN JunYu | 2013 | Science China Mathematics2013，56，11： | 1 |
| 11 | Consensus on potential biomarkers developed for use in clinical tests for schizophrenia显示文摘Background Schizophrenia is a serious mental illness affecting approximately 20 million individuals globally.Both genetic and environmental factors contribute to the illness.If left undiagnosed and untreated,schizophrenia results in impaired social function,repeated hospital admissions,reduced quality of life and decreased life expectancy.Clinical diagnosis largely relies on subjective evidence,including self-reported experiences,and reported behavioural abnormalities followed by psychiatric evaluation.In addition,psychoses may occur along with other conditions,and the symptoms are often episodic and transient,posing a significant challenge to the precision of diagnosis.Therefore,objective,specific tests using biomarkers are urgently needed for differential diagnosis of schizophrenia in clinical practice.Aims We aimed to provide evidence-based and consensus-based recommendations,with a summary of laboratory measurements that could potentially be used as biomarkers for schizophrenia,and to discuss directions for future research.Methods We searched publications within the last 10 years with the following keywords:‘schizophrenia’,‘gene’,‘inflammation’,‘neurotransmitter’,‘protein marker’,‘gut microbiota’,‘pharmacogenomics’and‘biomarker’.A draft of the consensus was discussed and agreed on by all authors at a round table session.Results We summarised the characteristics of candidate diagnostic markers for schizophrenia,including genetic,inflammatory,neurotransmitter,peripheral protein,pharmacogenomic and gut microbiota markers.We also proposed a novel laboratory process for diagnosing schizophrenia in clinical practice based on the evidence summarised in this paper.Conclusions Further efforts are needed to identify schizophrenia-specific genetic and epigenetic markers for precise diagnosis,differential diagnosis and ethnicity-specific markers for the Chinese population.The development of novel laboratory techniques is making it possible to use these biomarkers clinically to diagnose disease. | Ping Lin Junyu Sun Xiaoyan Lou Dan Li Yun Shi Zhenhua Li Peijun Ma Ping Li Shuzi Chen Weifeng Jin Shuai Liu Qing Chen Qiong Gao Lili Zhu Jie Xu Mengyuan Zhu Mengxia Wang Kangyi Liang Ling Zhao Huabin Xu Ke Dong Qingtian Li Xunjia Cheng Jinghong Chen Xiaokui Guo | 2022 | General Psychiatry2022，35，1： | 1 |
| 12 | LIAD: Adaptive Bandwidth Prediction Based Logarithmic Increase Adaptive Decrease for TCP Congestion Control in Heterogeneous Wireless Networks显示文摘 | Chang B J Lin Shuyu Jin Junyu | 2009 | Computer Networks2009，53，14： | 1 |
| 13 | An Apporoach to Evaluation of Degree of Facial Paralysis based on Image Processing and Pattem Recognition显示文摘 | Junyu Dong Yang Lin Li-an Liu | 2008 | Journal of Information Systems2008，7，： | 1 |
| 14 | A facile template free synthesis of porous carbon nanospheres with high capacitive performance显示文摘Porous carbon nanospheres have been widely used in different fields such as electric devices, catalysts, and water treatment. Here we will introduce a template-free process for the preparation of porous carbon nanospheres starting from a direct 3-aminophenol formaldehyde polymerization in a mixed solution. We identify that the addition of different alcohols, particularly ethanol and nbutanol, is able to change the growth habit of the polymer nanospheres and introduce a favorable inner compositional homogeneity for the preparation of porous structure. After the carbonization of the polymer nanospheres, the obtained porous carbon exhibits promising electrochemical performance when used as electrode material in super capacitor. | Junyu Piao Deshan Bin Shuyi Duan Xijie Lin Dong Zhang Anmin Cao | 2018 | Science China Chemistry2018，61，5： | 1 |
| 15 | Rectangular illumination using a secondaryoptics with cylindrical lens for LED street light显示文摘 | Hsichao Chen Junyu Lin Hsuanyi Chiu | 2013 | Opt Express2013，21，3： | 1 |
| 16 | Determination of mechanical parameters for elements in meso-mechanical models of concrete显示文摘The responses of cement mortar specimens of different dimensions under compression and tension were calculated based on the discrete element method with the modified-rigid-body-spring concrete model,in which the mechanical parameters derived from macro-scale material tests were applied directly to the mortar elements.By comparing the calculated results with those predicted by the Carpinteri andWeibull size effects laws,a series of formulas to convert the macro-scale mechanical parameters of mortar and interface to those at the meso-scale were proposed through a fitting analysis.Based on the proposed formulas,numerical simulation of axial compressive and tensile failure processes of concrete and cement mortar materials,respectively were conducted.The calculated results were a good match with the test results. | Xianglin GU Junyu JIA Zhuolin WANG Li HONG Feng LIN | 2013 | Frontiers of Structural and Civil Engineering2013，7，4： | 1 |
| 17 | Hybrid Optimization-Based GRU Neural Network for Software Reliability Prediction显示文摘Aiming at the problems of low prediction accuracy and weak generalization ability of current reliability prediction models,this paper proposes a hybrid multi-layer heterogeneous particle swarm optimization algorithm(HMHPSO)that can simultaneously optimize the structure and parameters of the GRU neural network.It first introduced a multi-layer heteromass particle swarm optimization(MHPSO)algorithm,which sets the population topology as a hierarchical structure and introduces the concept of attractors,so as to improve the update formula of particle speed,and enhance the information interaction ability between particles,increase the diversity of the groups,thereby improving the optimization ability of the algorithm.Then the HMHPSO used the quantum particle swarm optimization(QPSO)algorithm to determine the structure of the GRU,that is,the number of hidden nodes.Experimental results show that the algorithm can generate GRU neural networks with high generalization performance and low architecture complexity,and has better prediction accuracy in software reliability prediction. | Maochuan Wu Junyu Lin Shouchuang Shi Long Ren Zhiwen Wang | 2020 | 国际计算机前沿大会会议论文集2020，，2： | 0 |
| 18 | Characterization,occurrence,environmental behaviors,and risks of nanoplastics in the aquatic environment:Current status and future perspectives显示文摘Microplastics(MPs)are emerging contaminants that have attracted worldwide attention in recent years.Compared with MPs,nanoplastics(NPs)may exhibit greater toxicity and higher potential risks because of their unique physiochemical nanoscale properties.However,the environmental fate,ecosystem toxicity,and potential risks associated with NPs have been less explored.This study summarizes the current research status of NPs through a comprehensive bibliometric analysis.The research hotspots and future trends of NPs were identified.We comprehensively searched the Web of Science Core Collection scientific database from its inception(2004)to November 26,2020.The results showed that the number of papers on NPs has increased significantly since 2014.The keywords used in NP research were divided into three clusters.Cluster 1 related to the physical,chemical,and biological behaviors of NPs in aquatic environments.Cluster 2 represented a relatively new and hot research field concerning the exposure,accumulation,and toxicity of NPs in organisms.Cluster 3 corresponded to the identification and quantification of NPs in marine environments and sediments.Moreover,we systematically elaborated the main areas of NP research,such as the characterization,occurrence,environmental behavior,ecological toxicity,and human health risks of NPs.The results showed that the quantification of NPs at environmentally relevant concentrations remains a challenge.Most studies have investigated polystyrene NPs,spherical NPs,and NPs in marine environments,while few studies have examined the aggregation,deposition,and ecological toxicity of NPs under environmentally relevant conditions.In addition,much less is known about the human health risks associated with NPs because little research has been conducted on estimating the overall human exposure to NPs and its effect.Finally,the current challenges and future perspectives of NP research are discussed. | Junyu Wang Xiaoli Zhao Fengchang Wu Lin Niu Zhi Tang Weigang Liang Tianhui Zhao Mengyuan Fang Hongzhan Wang Xiaolei Wang | 2021 | Fundamental Research2021，1，3： | 0 |
| 19 | Multiple-Channel Weight-Based CNN Fault Diagnosis Method显示文摘It is difficult to comprehensively extract device status information for CNNs under a single source high-frequency timing signal,and CNNs cannot effec-tively achieve precise identification and classification based on the importance of multichannel features.This article proposes a CNN fault diagnosis method based on multi-channel weight adaptation.This methodfirst normalizes different data sources as input as different channels of CNN,and uses the characteristics of convolutional networks to achieve the characteristics of different data sources.Fusion and extraction.Then,the SNET module is embedded into the CNN net-work,adapted to the weight of each channel,and the accuracy of classification is improved.Finally,through comparative experiments,this method can further improve the accuracy of fault recognition. | Peng Xu Xinyu Liu Junyu Lin Zhongyu Lu Fengming Li Husheng Gou | 2023 | 国际计算机前沿大会会议论文集2023，，1： | 0 |
| 20 | Research on Multi-Modal Time Series Data Prediction Method Based on Dual-Stage Attention Mechanism显示文摘The production data in the industrialfield have the characteristics of multimodality,high dimensionality and large correlation differences between attributes.Existing data prediction methods cannot effectively capture time series and modal features,which leads to prediction hysteresis and poor prediction stabil-ity.Aiming at the above problems,this paper proposes a time-series and modal fea-tureenhancementmethodbasedonadual-stageself-attentionmechanism(DATT),and a time series prediction method based on a gated feedforward recurrent unit(GFRU).On this basis,the DATT-GFRU neural network with a gated feedforward recurrent neural network and dual-stage self-attention mechanism is designed and implemented.Experiments show that the prediction effect of the neural network prediction model based on DATT is significantly improved.Compared with the traditional prediction model,the DATT-GFRU neural network has a smaller aver-age error of model prediction results,stable prediction performance,and strong generalization ability on the three datasets with different numbers of attributes and different training sample sizes. | Xinyu Liu Yulong Meng Fangwei Liu Lingyu Chen Xinfeng Zhang Junyu Lin Husheng Gou | 2023 | 国际计算机前沿大会会议论文集2023，，1： | 0 |
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