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| 1 | Target maneuver trajectory prediction based on RBF neural network optimized by hybrid algorithm显示文摘Target maneuver trajectory prediction plays an important role in air combat situation awareness and threat assessment.To solve the problem of low prediction accuracy of the traditional prediction method and model,a target maneuver trajectory prediction model based on phase space reconstruction-radial basis function(PSR-RBF)neural network is established by combining the characteristics of trajectory with time continuity.In order to further improve the prediction performance of the model,the rival penalized competitive learning(RPCL)algorithm is introduced to determine the structure of RBF,the Levenberg-Marquardt(LM)and the hybrid algorithm of the improved particle swarm optimization(IPSO)algorithm and the k-means are introduced to optimize the parameter of RBF,and a PSR-RBF neural network is constructed.An independent method of 3D coordinates of the target maneuver trajectory is proposed,and the target manuver trajectory sample data is constructed by using the training data selected in the air combat maneuver instrument(ACMI),and the maneuver trajectory prediction model based on the PSR-RBF neural network is established.In order to verify the precision and real-time performance of the trajectory prediction model,the simulation experiment of target maneuver trajectory is performed.The results show that the prediction performance of the independent method is better,and the accuracy of the PSR-RBF prediction model proposed is better.The prediction confirms the effectiveness and applicability of the proposed method and model. | XI Zhifei XU An KOU Yingxin LI Zhanwu YANG Aiwu | 2021 | Journal of Systems Engineering and Electronics2021，32，2： | 8 |
| 2 | Characterization of naturally occurring pentacyclic triterpenes as novel inhibitors of deubiquitinating protease USP7 with anticancer activity in vitro显示文摘Deubiquitinating 朊酶 USP7 是为癌症治疗的一个有希望的治疗学的目标,并且对开发 USP7 禁止者的兴趣极大地增加了。在现在的学习,我们在 vitro 与 USP7 禁止的活动报导了一系列自然 pentacyclic triterpenes。在他们之中, ursane triterpenes 和 oleanane triterpenes 比贪吃的 triterpenes 更活跃,而 ursolic 酸是有 7.0 的 IC 50 | Bo JING Meng LIU Li YANG Hai-yan CAI Jie-bo CHEN Ze-xi LI Xi KOU Yun-zhao WU Dong-jun QIN Li ZHOU Jin JIN Hu LEI Han-zhang XU Wei-wei WANG Ying-li WU | 2018 | Acta Pharmacologica Sinica2018，39，3： | 5 |
| 3 | A novel epoxy methacrylate resin containing phthalazinone moiety for UV coatings显示文摘A novel phthalazinone modified epoxy acrylate resin for the high temperature resistant ultravioet (UV) curable coating was synthesized. The methacrylated epoxy resins obtained were utilized to UV radiation curing by taking 2.5% (wt%) of photoinitiator in combination with 20% (wt%) of diluent, and generated the interpenetraring polymer networks. The cured film had good thermal and chemical stability. | Yan Kou Jin Yan Wang Xi Gao Jian | 2007 | Chinese Chemical Letters2007，18，5： | 3 |
| 4 | Clinical observation of mineralized collagen bone grafting after curettage of benign bone tumors显示文摘Curettage of benign bone tumor is a common cause for bone defect.For such bone defect repair,autogenous bone,allogeneic bone and traditional artificial bone graft substitutes have many disadvantages.In recent years,a biomimetic mineralized collagen(MC)with similar composition and microstructures to the natural bone matrix was developed and used for treating various bone defects.In this work,a retrospective study analyzed clinical outcomes of patients treated with curettage of benign bone tumors and bone grafting with MC,in comparison to another group treated with the same surgical method and autogenous bone.Lane-Sandhu X-ray score of the autogenous bone group was superior to the MC group at 1 month after the operation,but the two groups had no statistical difference at 6 and 12 months.The MC group was better in Musculoskeletal Tumor Society scoring at 1 and 6 months after the operation,and the two groups had no statistical difference at 12 month.Therefore,the MC performed not as good as autogenous bone in early stage of bone healing but achieved comparable outcomes in long-term follow-ups.Moreover,the MC has advantages in function recovery and avoided potential complications induced by harvesting autogenous bone. | Chong Gao Zhi-Ye Qiu Jian-Wen Hou Wei Tian Jian-Ming Kou Xi Wang | 2020 | Regenerative Biomaterials2020，7，6： | 3 |
| 5 | A Prediction Model of Peasants’ Income in China Based on BP Neural Network显示文摘According to the related data affecting the peasants’ income in China in the years 1978-2008,a total of 13 indices are selected,such as agricultural population,output value of primary industry,and rural employees.Based on the standardized method and BP neural network method,the peasants’ income and the artificial neural network model are established and analyzed.Results show that the simulation value agrees well with the real value;the neural network model with improved BP algorithm has high prediction accuracy,rapid convergence rate and good generalization ability.Finally,suggestions are put forward to increase the peasants’ income,such as promoting the process of urbanization,developing small and medium-sized enterprises in rural areas,encouraging intensive operation,and strengthening the rural infrastructure and agricultural science and technology input. | GUO Qing-chun1,HE Zhen-fang2,LI Li3,KONG Ling-jun1,ZHANG Xiao-yong1,KOU Li-qun1 1.Shaanxi Radio &TV University,Xi’an 710068,China 2.Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences,Lan’zhou 730000,China 3.Institute of Earth Environment,Chinese Academy of Sciences,Xi’an 710075,China | 2011 | Asian Agricultural Research2011，3，4： | 2 |
| 6 | Finite element simulation on the deep drawing of titanium thin-walled surface part显示文摘The deep drawing of titanium thin-walled surface part was simulated based on a self-developed three-dimensional finite element model. After an investigation on forming rules, a virtual orthogonal experimental design was adopted to determine the significance of processing parameters, such as die radius, blank holder force, and friction coefficient, on the forming process. The distributions of thickness and equivalent plastic strain of the drawn part were evaluated. The results show that die radius has a relative major influence on the deep drawing process, followed by friction coefficient and blank holder force. | GAO Enzhi, LI Hongwei, KOU Hongchao, CHANG Hui, LI Jinshan, and ZHOU Lian State Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi’an 710072, China | 2010 | Rare Metals2010，29，1： | 2 |
| 7 | X-ray grating interferometer for biomedical imaging applications at Shanghai Synchrotron Radiation Facility显示文摘 | Xi Y Kou B Sun H | 2012 | Journal of Synchrotron Radiation2012，19，： | 1 |
| 8 | High-resolution angle-Doppler imaging by sparse recovery of underwater acoustic signals显示文摘The low resolution of Fourier two-dimensional spatial temporal spectrum estimation and the insufficient sample size of sonar space time sampling data often caused difficulties in high-resolution space time spectrum estimation. Aiming to solve this problem, we proposed a high-resolution angle-Doppler imaging method and designed an anti-reverberation space time filter based on the sparse recovery of underwater acoustic signals. The proposed imaging method established the spatial temporal sparse representation model of array signal under the condition of few observation samples of single measurement vector(SMV), and reconstructed the high-resolution angle-Doppler profile of echo and reverberation through the matching pursuit(MP) algorithm and basis pursuit(BP) algorithm. By utilizing the space time distribution characteristics of echo and reverberation and the prior information of sonar rangecell under test(RUT), a reverberation dictionary composed of special space time guidance vectors was designed, and was used to reconstruct the reverberation and formed an anti-reverberation space time filter to suppress the reverberation interference of angle-Doppler plane. Computer simulations indicated that, under two conditions of forward and side-view array of moving sonar, the single measurement vector of sonar array was successfully used in the reverberation background to reconstruct the high-resolution angle-Doppler profile of low-speed moving target multi-spot echo. Its frequency resolution had a better performance than the Fourier resolution and the angle resolution broke through the Rayleigh limit of the array, the resolution was obviously superior to the Fourier space time spectrum estimation. | KOU Siwei FENG Xi’an BI Yang HUANG Hui | 2020 | Chinese Journal of Acoustics2020，39，2： | 1 |
| 9 | Prevalence of High Non-high-density Lipoprotein Cholesterol and Associated Risk Factors in Patients with Diabetes Mellitus in Jilin Province,China:A Cross-sectional Study显示文摘Dyslipidemia is a risk factor for cardiovascular diseases(CVDs)in patients with diabetes,and non-high-density lipoprotein cholesterol(non-HDL-C)is a better predictor of CVDs than low-density lipoprotein cholesterol(LDL-C)in patients with diabetes.Therefore,we aimed to investigate the distribution of non-HDL-C and the prevalence of high non-HDL-C level in Chinese patients with diabetes mellitus and identify | HE Huan ZHEN Qing LI Yong KOU Chang Gui TAO Yu Chun WANG Chang Joseph Sam Kanu LU Yu Ping YU Ming Xi ZHANG Hui Ping YU Ya Qin LI Bo LIU Ya Wen | 2016 | Biomedical and Environmental Sciences2016，29，7： | 1 |
| 10 | A brain structural connectivity biomarker for autism spectrum disorder diagnosis in early childhood显示文摘Background:Autism spectrum disorder(ASD)is associated with altered brain development,but it is unclear which specific structural changes may serve as potential diagnostic markers,particularly in young children at the age when symptoms become fully estab-lished.Furthermore,such brain markers need to meet the requirements of precision medicine and be accurate in aiding diagnosis at an individual rather than only a group level.Objective:This study aimed to identify and model brain-wide differences in structural connectivity using diffusion tensor imaging(DTI)in young ASD and typically developing(TD)children.Methods:A discovery cohort including 93 ASD and 26 TD children and two independent validation cohorts including 12 ASD and 9 TD children from three different cities in China were included.Brain-wide(294 regions)structural connectivity was measured using DTI(fractional anisotropy,FA)together with symptom severity and cognitive development.A connection matrix was constructed for each child for comparisons between ASD and TD groups.Pattern classification was performed on the discovery dataset and the resulting model was tested on the two independent validation datasets.Results:Thirty-three structural connections showed increased FA in ASD compared to TD children and associated with both autistic symptom severity and impaired general cognitive development.The majority(29/33)involved the frontal lobe and comprised five different networks with functional relevance to default mode,motor control,social recognition,language and reward.Overall,clas-sification achieved very high accuracy of 96.77%in the discovery dataset,and 91.67%and 88.89%in the two independent validation datasets.Conclusions:Identified structural connectivity differences primarily involving the frontal cortex can very accurately distinguish novel individual ASD from TD children and may therefore represent a robust early brain biomarker which can address the requirements of precision medicine. | Xi Jiang Xiao-Jing Shou Zhongbo Zhao Yuzhong Chen Fan-Chao Meng Jiao Le Tian-Jia Song Xin-Jie Xu Weitong Guo Xiaoyan Ke Xiao-E Cai Weihua Zhao Juan Kou Ran Huo Ying Liu Hui-Shu Yuan Yan Xing Ji-Sheng Han Song-Ping Han Yun Li Hua Lai Lan Zhang Mei-Xiang Jia Jing Liu Xuan Liu Keith M.Kendrick Rong Zhang | 2023 | Psychoradiology2023，3，1： | 0 |
| 11 | Air combat target maneuver trajectory prediction based on robust regularized Volterra series and adaptive ensemble online transfer learning显示文摘Target maneuver trajectory prediction is an important prerequisite for air combat situation awareness and maneuver decision-making.However,how to use a large amount of trajectory data generated by air combat confrontation training to achieve real-time and accurate prediction of target maneuver trajectory is an urgent problem to be solved.To solve this problem,in this paper,a hybrid algorithm based on transfer learning,online learning,ensemble learning,regularization technology,target maneuvering segmentation point recognition algorithm,and Volterra series,abbreviated as AERTrOS-Volterra is proposed.Firstly,the model makes full use of a large number of trajectory sample data generated by air combat confrontation training,and constructs a Tr-Volterra algorithm framework suitable for air combat target maneuver trajectory prediction,which realizes the extraction of effective information from the historical trajectory data.Secondly,in order to improve the real-time online prediction accuracy and robustness of the prediction model in complex electromagnetic environments,on the basis of the TrVolterra algorithm framework,a robust regularized online Sequential Volterra prediction model is proposed by integrating online learning method,regularization technology and inverse weighting calculation method based on the priori error.Finally,inspired by the preferable performance of models ensemble,ensemble learning scheme is also incorporated into our proposed algorithm,which adaptively updates the ensemble prediction model according to the performance of the model on real-time samples and the recognition results of target maneuvering segmentation points,including the adaptation of model weights;adaptation of parameters;and dynamic inclusion and removal of models.Compared with many existing time series prediction methods,the newly proposed target maneuver trajectory prediction algorithm can fully mine the prior knowledge contained in the historical data to assist the current prediction.The rationality and effectiveness of the proposed algorithm are verified by simulation on three sets of chaotic time series data sets and a set of real target maneuver trajectory data sets. | Xi Zhi-fei Kou Ying-xin Li Zhan-wu Lv Yue Xu An Li You Li Shuang-qing | 2023 | Defence Technology(防务技术)2023，20，2： | 0 |
| 12 | An online ensemble semi-supervised classification framework for air combat target maneuver recognition显示文摘Online target maneuver recognition is an important prerequisite for air combat situation recognition and maneuver decision-making.Conventional target maneuver recognition methods adopt mainly supervised learning methods and assume that many sample labels are available.However,in real-world applications,manual sample labeling is often time-consuming and laborious.In addition,airborne sensors collecting target maneuver trajectory information in data streams often cannot process information in real time.To solve these problems,in this paper,an air combat target maneuver recognition model based on an online ensemble semi-supervised classification framework based on online learning,ensemble learning,semi-supervised learning,and Tri-training algorithm,abbreviated as Online Ensemble Semi-supervised Classification Framework(OESCF),is proposed.The framework is divided into four parts:basic classifier offline training stage,online recognition model initialization stage,target maneuver online recognition stage,and online model update stage.Firstly,based on the improved Tri-training algorithm and the fusion decision filtering strategy combined with disagreement,basic classifiers are trained offline by making full use of labeled and unlabeled sample data.Secondly,the dynamic density clustering algorithm of the target maneuver is performed,statistical information of each cluster is calculated,and a set of micro-clusters is obtained to initialize the online recognition model.Thirdly,the ensemble K-Nearest Neighbor(KNN)-based learning method is used to recognize the incoming target maneuver trajectory instances.Finally,to further improve the accuracy and adaptability of the model under the condition of high dynamic air combat,the parameters of the model are updated online using error-driven representation learning,exponential decay function and basic classifier obtained in the offline training stage.The experimental results on several University of California Irvine(UCI)datasets and real air combat target maneuver trajectory data validate the effectiveness of the proposed method in comparison with other semi-supervised models and supervised models,and the results show that the proposed model achieves higher classification accuracy. | Zhifei XI Yue LYU Yingxin KOU Zhanwu LI You LI | 2023 | Chinese Journal of Aeronautics2023，36，6： | 0 |
| 13 | Current perspectives on shoot branching regulation显示文摘Shoot branching is regulated by the complex interactions among hormones, development, and environmental factors. Recent studies into the regulatory mechanisms of shoot branching have focused on strigolactones,which is a new area of investigation in shoot branching regulation. Elucidation of the function of the D53 gene has allowed exploration of detailed mechanisms of action of strigolactones in regulating shoot branching. In addition,the recent discovery that sucrose is key for axillary bud release has challenged the established auxin theory, in which auxin is the principal agent in the control of apical dominance. These developments increase our understanding of branching control and indicate that regulation of shoot branching involves a complex network. Here, we first summarize advances in the systematic regulatory network of plant shoot branching based on current information. Then we describe recent developments in the synthesis and signal transduction of strigolactones.Based on these considerations, we further summarize the plant shoot branching regulatory network, including long distance systemic signals and local gene activity mediated by strigolactones following perception of external environmental signals, such as shading, in order to provide a comprehensive overview of plant shoot branching. | Cunquan YUAN Lin XI Yaping KOU Yu ZHAO Liangjun ZHAO | 2015 | Frontiers of Agricultural Science and Engineering2015，2，1： | 0 |
| 14 | The Design of Management Software for Network Device Faults显示文摘Effective network management software ensures networks to run credibly. In this paper we discuss the design and implementation of network device fault management based on Pure Java. It includes designs of general functions, server functions, client functions and a database table. The software can make it convenient to monitoring a network device, and improve network efficiency. | KOU Ya-nan, LI Guo-li, LI Zeng-zi Institute of Computer Architecture & Network, Xi’an Jiaotong University, Xi’an 710038, P. R. China | 2001 | International Journal of Plant Engineering and Management2001，6，1： | 0 |
| 15 | Traditional Chinese medicine nursing protocols for COVID-19显示文摘In order to facilitate nurses to understand the key points of COVID‑19’s common syndromes,master the key points of nursing with syndrome differentiation,use the advantages of traditional Chinese medicine(TCM)nursing characteristics,standardize TCM nursing behavior,and improve the TCM nursing effect,through the search of relevant information,combined with the clinical practice experience of more than 1 month of front‑line anti‑epidemic nursing staff,the TCM nursing protocols for COVID‑19(draft)were formed.After four rounds of expert consultation and discussion,and 15 times of collation and revision,the final version of TCM nursing protocols for COVID‑19 was formed.The TCM nursing protocols for COVID‑19 include the following five parts:key points of common syndromes,nursing for common symptoms/syndromes,TCM special nursing,healthy guidance,and difficulties in nursing;it is scientific and practical,and can provide clinical guidance for nursing of patients with COVID‑19. | Mei‑Zhen LIN Qiao‑Mei WU Yu LIU Zhong‑De ZHANG Gang‑Yi PENG Chang‑Xiu WAN Xiao‑Pan WANG Ying‑Rui MA Ping XIONG Hui‑Chao CHEN Qiu‑Ying DENG Li‑Li DENG Ding‑Rong QIU Lin WEI Jiu‑Hong YOU Yang‑Chen LIU Guang‑Qing ZHANG Li‑Xia KOU Ming‑Ming XU Yu‑Mei CHEN Yin‑Qin ZHONG Xiao‑Qin LU Han‑Jiao LIU Jin ZHOU Hong YE Xiao‑Zhen GONG Shi‑Miao LUO Xi‑Yan HU | 2020 | Journal of Integrative Nursing2020，2，2： | 0 |
| 16 | ABE-induced PDGFD start codon silencing unveils new insights into the genetic architecture of sheep fat tails显示文摘Sheep is an important livestock species raised globally to produce meat,milk,wool,and other by-products.During the Neolithic Revolution,sheep were domesticated in the Fertile Crescent of Southwest Asia around 10,000 years ago(Chessa et al.,2009). | Peter Kalds Shuhong Huang Shiwei Zhou Siyuan Xi Yumeng Fang Yawei Gao Kexin Sun Chao Li Bei Cai Yao Liu Yige Ding Qifang Kou Tad Sonstegard Bjöm Petersen Stephen Kemp Baohua Ma Jian-Lin Han Yulin Chen Xiaolong Wang | 2023 | Journal of Genetics and Genomics2023，50，12： | 0 |
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