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| 1 | Tumor-secreted miR-214 induces regulatory T cells: a major link between immune evasion and tumor growth显示文摘 | Yuan Yin Xing Cai Xi Chen Hongwei Liang Yujing Zhang Jing Li Zuoyun Wang Xiulan Chen Wen Zhang Seiji Yokoyama Cheng Wang Liang Li Limin Li Dongxia Hou Lei Dong Tao Xu Takachika Hiroi Fuquan Yang Hongbin Ji Junfeng Zhang Ke Zen Chen-Yu Zhang | 2014 | Cell Research2014，24，10： | 33 |
| 2 | Therapeutic effect of acupuncture and massage for shoulder-hand syndrome in hemiplegia patients:a clinical two-center randomized controlled trial显示文摘OBJECTIVE:To evaluate the therapeutic effects of acupuncture and massage for shoulder-hand syndrome in hemiplegia patients.METHODS:One hundred and twenty hemiplegia patients with stage I shoulder-hand syndrome were randomly divided into a group treated with standardized electric acupuncture and massage,and a group treated with rehabilitation therapy for 6 weeks.The primary indices evaluated were pain on passive movement of the shoulder using the numeric pain rating scale(NPRS),and the number of patients with shoulder-hand syndrome at Steinbrocker stage II or III after treatment.The secondary indices were Fugl-Meyer evaluation of functional movement of the upper limb and hand using the modified rankin scale(MRS).RESULTS:At post-treatment evaluation and a 12-week follow-up visit,NPRS score,number of patients with stage II or III shoulder-hand syndrome,and MRS score were all improved in the acupuncture-massage group compared with the rehabilitation group(P<0.05).On Fugl-Meyer evaluation,functional movement of the upper limb was also improved in the acupuncture-massage group compared with the rehabilitation group(P<0.05).CONCLUSION:Standardized acupuncture-massage therapy may have curative effects on shoulder-hand syndrome in hemiplegia patients. | Ning Li Fengwei Tian Chengwei Wang Pengming Yu Xi Zhou Qian Wen Xiulan Qiao Lu Huang | 2012 | Journal of Traditional Chinese Medicine2012，32，3： | 25 |
| 3 | Accurate Evaluation of Free-form Surface Profile Error Based on Quasi Particle Swarm Optimization Algorithm and Surface Subdivision显示文摘Although significant progress has been made in precision machining of free-form surfaces recently, inspection of such surfaces remains a difficult problem. In order to solve the problem that no specific standards for the verification of free-form surface profile are available, the profile parameters of free-form surface are proposed by referring to ISO standards regarding form tolerances and considering its complexity and non-rotational symmetry. Non-uniform rational basis spline(NURBS) for describing free-form surface is formulated. Crucial issues in surface inspection and profile error verification are localization between the design coordinate system(DCS) and measurement coordinate system(MCS) for searching the closest points on the design model corresponding to measured points. A quasi particle swarm optimization(QPSO) is proposed to search the transformation parameters to implement localization between DCS and MCS. Surface subdivide method which does the searching in a recursively reduced range of the parameters u and v of the NURBS design model is developed to find the closest points. In order to verify the effectiveness of the proposed methods, the design model is generated by NURBS and the measurement data of simulation example are generated by transforming the design model to arbitrary position and orientation, and the parts are machined based on the design model and are measured on CMM. The profile errors of simulation example and actual parts are calculated by the proposed method. The results verify that the evaluation precision of freeform surface profile error by the proposed method is higher 10%-22% than that by CMM software. The proposed method deals with the hard problem that it has a lower precision in profile error evaluation of free-form surface. | WEN Xiulan ZHAO Yibing WANG Dongxia ZHU Xiaochun XUE Xiaoqiang | 2013 | Chinese Journal of Mechanical Engineering2013，26，2： | 13 |
| 4 | Measurement Uncertainty Evaluation of Conicity Error Inspected on CMM显示文摘The cone is widely used in mechanical design for rotation, centering and fixing. Whether the conicity error can be measured and evaluated accurately will directly influence its assembly accuracy and working performance. According to the new generation geometrical product specification(GPS), the error and its measurement uncertainty should be evaluated together. The mathematical model of the minimum zone conicity error is established and an improved immune evolutionary algorithm(IIEA) is proposed to search for the conicity error. In the IIEA, initial antibodies are firstly generated by using quasi-random sequences and two kinds of affinities are calculated. Then, each antibody clone is generated and they are self-adaptively mutated so as to maintain diversity. Similar antibody is suppressed and new random antibody is generated. Because the mathematical model of conicity error is strongly nonlinear and the input quantities are not independent, it is difficult to use Guide to the expression of uncertainty in the measurement(GUM) method to evaluate measurement uncertainty. Adaptive Monte Carlo method(AMCM) is proposed to estimate measurement uncertainty in which the number of Monte Carlo trials is selected adaptively and the quality of the numerical results is directly controlled. The cone parts was machined on lathe CK6140 and measured on Miracle NC 454 Coordinate Measuring Machine(CMM). The experiment results confirm that the proposed method not only can search for the approximate solution of the minimum zone conicity error(MZCE) rapidly and precisely, but also can evaluate measurement uncertainty and give control variables with an expected numerical tolerance. The conicity errors computed by the proposed method are 20%-40% less than those computed by NC454 CMM software and the evaluation accuracy improves significantly. | WANG Dongxia SONG Aiguo WEN Xiulan XU Youxiong QIAO Guifang | 2016 | Chinese Journal of Mechanical Engineering2016，29，1： | 10 |
| 5 | Monte Carlo Method for the Uncertainty Evaluation of Spatial Straightness Error Based on New Generation Geometrical Product Specification显示文摘Straightness error is an important parameter in measuring high-precision shafts. New generation geometrical product specification(GPS) requires the measurement uncertainty characterizing the reliability of the results should be given together when the measurement result is given. Nowadays most researches on straightness focus on error calculation and only several research projects evaluate the measurement uncertainty based on 'The Guide to the Expression of Uncertainty in Measurement(GUM)'. In order to compute spatial straightness error(SSE) accurately and rapidly and overcome the limitations of GUM, a quasi particle swarm optimization(QPSO) is proposed to solve the minimum zone SSE and Monte Carlo Method(MCM) is developed to estimate the measurement uncertainty. The mathematical model of minimum zone SSE is formulated. In QPSO quasi-random sequences are applied to the generation of the initial position and velocity of particles and their velocities are modified by the constriction factor approach. The flow of measurement uncertainty evaluation based on MCM is proposed, where the heart is repeatedly sampling from the probability density function(PDF) for every input quantity and evaluating the model in each case. The minimum zone SSE of a shaft measured on a Coordinate Measuring Machine(CMM) is calculated by QPSO and the measurement uncertainty is evaluated by MCM on the basis of analyzing the uncertainty contributors. The results show that the uncertainty directly influences the product judgment result. Therefore it is scientific and reasonable to consider the influence of the uncertainty in judging whether the parts are accepted or rejected, especially for those located in the uncertainty zone. The proposed method is especially suitable when the PDF of the measurand cannot adequately be approximated by a Gaussian distribution or a scaled and shifted t-distribution and the measurement model is non-linear. | WEN Xiulan XU Youxiong LI Hongsheng WANG Fenglin SHENG Danghong | 2012 | Chinese Journal of Mechanical Engineering2012，25，5： | 10 |
| 6 | Interactions of arsenic and phenanthrene on their uptake and antioxidative response in Pteris vittata L.显示文摘 | Lu Sun Xiulan Yan Xiaoyong Liao Yi Wen Zhongyi Chong Tao Liang | 2011 | Environmental Pollution2011，，12： | 2 |
| 7 | Evolving Neural Networks Using an Improved Genetic Algorithm 显示文摘 | Wen Xiulan | 2002 | Journal of Southeast University2002，18，4： | 1 |
| 8 | An improved genetic algorithm for planar and spatial straightness error evalu- ation显示文摘 | WEN Xiulan SONG Aiguo | 2003 | International Journal of Machine Tools and Manufacture2003，43，11： | 1 |
| 9 | An immune evolutionary algorithm for sphericity error evaluation 显示文摘 | Wen Xiulan Song Aiguo | 2004 | International Journal of Machine Tools & Manufacture2004，44，10： | 1 |
| 10 | An immune evolutionary algorithm for sphericity error evaluation显示文摘 | WEN Xiulan SONG Aiguo | 2004 | International Journal of Machine Tools & Manufacture2004，44，： | 1 |
| 11 | Conieity and cylindricity error evaluation using particle swarm optimization 显示文摘 | Wen Xiulan Huang Jiaeai Sheng Danghong | 2010 | Precision Engineering-Journal Of the International Socie- ties for Precision Engineering And Nanotechnology2010，34，2： | 1 |
| 12 | An improved genetic algorithm for planar and spatial straightness error evaluation显示文摘 | Wen Xiulan Song Aiguo | 2003 | International Journal of Machine Tools & Manufacture2003，43，11： | 1 |
| 13 | An improved genetic algorithm for planar and spatial straightness error evaluation显示文摘 | Xiulan Wen Aiguo Song | 2003 | International Journal of Machine Tools and Manufacture2003，，11： | 1 |
| 14 | An Improved Genetic Algorithm for Planar and Spatial Straightness Error Evaluation 显示文摘 | Wen Xiulan Song Aiguo | 2003 | International Journal of Machine Tools & Manufacture2003，43，11： | 1 |
| 15 | Evolving neural networks using an improved genetic algorithm 显示文摘 | Wen Xiulan Song Aiguo | 2002 | Journal of Southeast University2002，18，4： | 1 |
| 16 | An Effective Genetic Algorithm for Circularity Er- ror Unified Evaluation显示文摘 | Wen Xiulan Xia Qingguan Zhao Yibing | 2006 | International Journal of Machine Tools & Manufacture2006，46，11： | 1 |
| 17 | An immune evolutionary algorithm for sphericity error evaluation 显示文摘 | Wen Xiulan Song Aiguo | 2004 | International Journal of Machine Tools and Manufacture2004，44，10： | 1 |
| 18 | An effective genetic algorithm for circularity error unified evaluation显示文摘 | Wen Xiulan Xia Qingguan Zhao Yibing | 2006 | International Journal of Machine Tools & Manufacture2006，46，3： | 1 |
| 19 | An effective genetic algorithm for circularity error unified evaluation 显示文摘 | Wen Xiulan Xia Qingguan Zbao Yibing | 2006 | International Journal of Machine Tools &Manufac- ture2006，46，14： | 1 |
| 20 | Research on the mechanical fault diagnosis method based on sound signal and IEMD-DDCNN显示文摘Purpose–The purpose of this paper is to provide a shorter time cost,high-accuracy fault diagnosis method for water pumps.Water pumps are widely used in industrial equipment and their fault diagnosis is gaining increasing attention.Considering the time-consuming empirical mode decomposition(EMD)method and the more efficient classification provided by the convolutional neural network(CNN)method,a novel classification method based on incomplete empirical mode decomposition(IEMD)and dual-input dual-channel convolutional neural network(DDCNN)composite data is proposed and applied to the fault diagnosis of water pumps.Design/methodology/approach–This paper proposes a data preprocessing method using IEMD combined with mel-frequency cepstrum coefficient(MFCC)and a neural network model of DDCNN.First,the sound signal is decomposed by IEMD to get numerous intrinsic mode functions(IMFs)and a residual(RES).Several IMFs and one RES are then extracted by MFCC features.Ultimately,the obtained features are split into two channels(IMFs one channel;RES one channel)and input into DDCNN.Findings–The Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection(MIMII dataset)is used to verify the practicability of the method.Experimental results show that decomposition into an IMF is optimal when taking into account the real-time and accuracy of the diagnosis.Compared with EMD,51.52% of data preprocessing time,67.25% of network training time and 63.7%of test time are saved and also improve accuracy.Research limitations/implications–This method can achieve higher accuracy in fault diagnosis with a shorter time cost.Therefore,the fault diagnosis of equipment based on the sound signal in the factory has certain feasibility and research importance.Originality/value–This method provides a feasible method for mechanical fault diagnosis based on sound signals in industrial applications. | Haoning Pu Zhan Wen Xiulan Sun Lemei Han Yanhe Na Hantao Liu Wenzao Li | 2023 | International Journal of Intelligent Computing and Cybernetics2023，16，3： | 0 |
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