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| 1 | The study on the safety and efficacy of amnion graft for preventing the recurrence of moderate to severe intrauterine adhesions显示文摘Transcervical resection of adhesion(TCRA)is the standard treatment for the intrauterine adhesions,but the recurrence of adhesions is a tough problem for the gynecologist.In addition,the therapeutic strategy after TCRA about prevention of recurrence remains controversial especially for the patients with moderate to severe intrauterine adhesions(IUAs).Hence,we designed this study to explore the safety and efficacy of fresh amnion grafts for preventing the recurrence after TCRA for patients with moderate to severe IUAs.One hundred patients with moderate to severe IUAs who presented with a history of hypomenorrhea,amenorrhea and infertility were included in the study from January 2015 to December 2017.Patients were divided into amnion group(52 patients)and chitosan group(48 patients).Fresh amnion grafts or intrauterine injections of chitosan were administered after TCRA.Transvaginal ultrasonography(TVUS)and hysteroscopy were performed at the first and third month after the operation.The surgical procedures for all patients were completed successfully without relevant complications.In amnion group,8 patients exhibited relapse in the first month and 2 patients in three months after surgery;in chitosan group,23 women exhibited relapse in the first month and 18 patients in three months after surgery.Statistical analysis revealed that the recurrence rate of adhesion in amnion group was significantly lower than those of chitosan group in the first and three months after surgery(P1=0.000,P2=0.000).After TCRA,fresh amnion graft plays a significant role in preventing further adhesions than injections of chitosan. | Changjiang Li Aiqi Cai Congcong Sun Benyuan Wu Xinpei Chen Yanhua Mao Yingfeng Zhang Yating Gou Jie Yu Yuhan Wang Huanhuan Yu Jia Wang | 2020 | Genes & Diseases2020，7，2： | 11 |
| 2 | A Hybrid Approach to Modeling and Control of Vehicle Height for Electronically Controlled Air Suspension显示文摘The control problems associated with vehicle height adjustment of electronically controlled air suspension(ECAS) still pose theoretical challenges for researchers, which manifest themselves in the publications on this subject over the last years. This paper deals with modeling and control of a vehicle height adjustment system for ECAS, which is an example of a hybrid dynamical system due to the coexistence and coupling of continuous variables and discrete events. A mixed logical dynamical(MLD) modeling approach is chosen for capturing enough details of the vehicle height adjustment process. The hybrid dynamic model is constructed on the basis of some assumptions and piecewise linear approximation for components nonlinearities. Then, the on-off statuses of solenoid valves and the piecewise approximation process are described by propositional logic, and the hybrid system is transformed into the set of linear mixed-integer equalities and inequalities, denoted as MLD model, automatically by HYSDEL. Using this model, a hybrid model predictive controller(HMPC) is tuned based on online mixed-integer quadratic optimization(MIQP). Two different scenarios are considered in the simulation, whose results verify the height adjustment effectiveness of the proposed approach. Explicit solutions of the controller are computed to control the vehicle height adjustment system in realtime using an offline multi-parametric programming technology(MPT), thus convert the controller into an equivalent explicit piecewise affine form. Finally, bench experiments for vehicle height lifting, holding and lowering procedures are conducted, which demonstrate that the HMPC can adjust the vehicle height by controlling the on-off statuses of solenoid valves directly. This research proposes a new modeling and control method for vehicle height adjustment of ECAS, which leads to a closed-loop system with favorable dynamical properties. | SUN Xiaoqiang CAI Yingfeng WANG Shaohua LIU Yanling CHEN Long | 2016 | Chinese Journal of Mechanical Engineering2016，29，1： | 7 |
| 3 | Vehicle Detection Based on Visual Saliency and Deep Sparse Convolution Hierarchical Model显示文摘Traditional vehicle detection algorithms use traverse search based vehicle candidate generation and hand crafted based classifier training for vehicle candidate verification.These types of methods generally have high processing times and low vehicle detection performance.To address this issue,a visual saliency and deep sparse convolution hierarchical model based vehicle detection algorithm is proposed.A visual saliency calculation is firstly used to generate a small vehicle candidate area.The vehicle candidate sub images are then loaded into a sparse deep convolution hierarchical model with an SVM-based classifier to perform the final detection.The experimental results demonstrate that the proposed method is with 94.81% correct rate and 0.78% false detection rate on the existing datasets and the real road pictures captured by our group,which outperforms the existing state-of-the-art algorithms.More importantly,high discriminative multi-scale features are generated by deep sparse convolution network which has broad application prospects in target recognition in the field of intelligent vehicle. | CAI Yingfeng WANG Hai CHEN Xiaobo GAO Li CHEN Long | 2016 | Chinese Journal of Mechanical Engineering2016，29，4： | 4 |
| 4 | An Adaptive Nonsingular Fast Terminal Sliding Mode Control for Yaw Stability Control of Bus Based on STI Tire Model显示文摘Due to the bus characteristics of large quality,high center of gravity and narrow wheelbase,the research of its yaw stability control(YSC)system has become the focus in the field of vehicle system dynamics.However,the tire nonlinear mechanical properties and the effectiveness of the YSC control system are not considered carefully in the current research.In this paper,a novel adaptive nonsingular fast terminal sliding mode(ANFTSM)control scheme for YSC is proposed to improve the bus curve driving stability and safety on slippery roads.Firstly,the STI(Systems Technologies Inc.)tire model,which can effectively reflect the nonlinear coupling relationship between the tire longitudinal force and lateral force,is established based on experimental data and firstly adopted in the bus YSC system design.On this basis,a more accurate bus lateral dynamics model is built and a novel YSC strategy based on ANFTSM,which has the merits of fast transient response,finite time convergence and high robustness against uncertainties and external disturbances,is designed.Thirdly,to solve the optimal allocation problem of the tire forces,whose objective is to achieve the desired direct yaw moment through the effective distribution of the brake force of each tire,the robust least-squares allocation method is adopted.To verify the feasibility,effectiveness and practicality of the proposed bus YSC approach,the TruckSim-Simulink co-simulation results are finally provided.The co-simulation results show that the lateral stability of bus under special driving conditions has been significantly improved.This research proposes a more effective design method for bus YSC system based on a more accurate tire model. | Xiaoqiang Sun Yujun Wang Yingfeng Cai Pak Kin Wong Long Chen | 2021 | Chinese Journal of Mechanical Engineering2021，34，4： | 4 |
| 5 | Multiscale modeling of mechanical behavior and failure mechanism of 3D angle-interlock woven aluminum composites subjected to warp/weft directional tension loading显示文摘The mechanical behavior and progressive damage mechanism of novel aluminum matrix composites reinforced with 3D angle-interlock woven carbon fibers were investigated using a multiscale modeling approach.The mechanical properties and failure of yarns were evaluated using a microscale model under different loading scenarios.On this basis,a mesoscale model was developed to analyze the tensile behavior and failure mechanism of the composites.The interfacial decohesion,matrix damage,and failure of fibers and yarns were incorporated into the microscopic and mesoscopic models.The stress–strain curves and fracture modes from simulation show good agreement with the experimental curves and fracture morphology.Local interface and matrix damage initiate first under warp directional tension.Thereafter,interfacial failure,weft yarn cracking,and matrix failure occur successively.Axial fracture of warp yarn,which displays a quasi-ductile fracture characteristic,dominates the ultimate composites failure.Under weft directional tension,interfacial failure and warp yarn rupture occur at the early and middle stages.Matrix failure and weft yarn fracture emerge simultaneously at the final stage,leading to the cata-strophic failure of composites.The weft directional strength and fracture strain are lower than the warp directional ones because of the lower weft density and the more serious brittle fracture of weft yarns. | Zhenjun WANG Siyuan YANG Shiping SUN Yingfeng ZHANG Changchun CAI Bowen XIONG Wei YANG Zhifeng XU Huan YU | 2021 | Chinese Journal of Aeronautics2021，34，8： | 4 |
| 6 | Trajectory prediction of cyclist based on dynamic Bayesian network and long short-term memory model at unsignalized intersections显示文摘Cyclist trajectory prediction is of great significance for both active collision avoidance and path planning of intelligent vehicles.This paper presents a trajectory prediction method for the motion intention of cyclists in real traffic scenarios.This method is based on dynamic Bayesian network(DBN)and long short-term memory(LSTM).The motion intention of cyclists is hard to predict owing to potential large uncertainties.The DBN is used to infer the distribution of cyclists’intentions at intersections to improve the prediction time.The LSTM with encoder-decoder is used to predict the cyclists’trajectories to improve the accuracy of prediction.Therefore,the DBN and LSTM are adopted to guarantee prediction accuracy and improve the prediction time.The experiment results are presented to show the effectiveness of the predict strategies. | Hongbo GAO Hang SU Yingfeng CAI Renfei WU Zhengyuan HAO Yongneng XU Wei WU Jianqing WANG Zhijun LI Zhen KAN | 2021 | Science China(Information Sciences)2021，64，7： | 4 |
| 7 | Importance measure of system reliability upgrade for multi-state consecutive k-out-of-n systems显示文摘Importance measures in reliability systems are used to identify weak components in contributing to a proper function of the system. Traditional importance measures mainly concerned the changing value of the system reliability caused by the change of the reliability of the component, and seldom considered the joint effect of the probability distribution, improvement rate of the object component. This paper studies the rate of the system reliability upgrading with an improvement of the component reliability for the multi-state consecutive k-out-of-n system. To verify the multi-state consecutive k-out-of-n system reliability upgrading by improving one component based on its improvement rate, an increasing potential importance (IPI) and its physical meaning are described at first. Secondly, the relationship between the IPI and Birnbaum importance measures are discussed. And the IPI for some different improvement actions of the component is further discussed. Thirdly, the characteristics of the IPI are analyzed. Finally, an application to an oil pipeline system is given. | HonQvan Dui Shubin si Zhiqiang Cai Shudong Sun Yingfeng Zhang | 2012 | Journal of Systems Engineering and Electronics2012，23，6： | 3 |
| 8 | Surrounding Objects Detection and Tracking for Autonomous Driving Using LiDAR and Radar Fusion显示文摘Radar and LiDAR are two environmental sensors commonly used in autonomous vehicles,Lidars are accurate in determining objects’positions but significantly less accurate as Radars on measuring their velocities.However,Radars relative to Lidars are more accurate on measuring objects velocities but less accurate on determining their positions as they have a lower spatial resolution.In order to compensate for the low detection accuracy,incomplete target attributes and poor environmental adaptability of single sensors such as Radar and LiDAR,in this paper,an effective method for high-precision detection and tracking of surrounding targets of autonomous vehicles.By employing the Unscented Kalman Filter,Radar and LiDAR information is effectively fused to achieve high-precision detection of the position and speed information of targets around the autonomous vehicle.Finally,the real vehicle test under various driving environment scenarios is carried out.The experimental results show that the proposed sensor fusion method can effectively detect and track the vehicle peripheral targets with high accuracy.Compared with a single sensor,it has obvious advantages and can improve the intelligence level of autonomous cars. | Ze Liu Yingfeng Cai Hai Wang Long Chen | 2021 | Chinese Journal of Mechanical Engineering2021，34，5： | 2 |
| 9 | 3D Vehicle Detection Based on LiDAR and Camera Fusion显示文摘Nowadays,the deep learning for object detection has become more popular and is widely adopted in many fields.This paper focuses on the research of LiDAR and camera sensor fusion technology for vehicle detection to ensure extremely high detection accuracy.The proposed network architecture takes full advantage of the deep information of both the LiDAR point cloud and RGB image in object detection.First,the LiDAR point cloud and RGB image are fed into the system.Then a high-resolution feature map is used to generate a reliable 3D object proposal for both the LiDAR point cloud and RGB image.Finally,3D box regression is performed to predict the extent and orientation of vehicles in 3D space.Experiments on the challenging KITTI benchmark show that the proposed approach obtains ideal detection results and the detection time of each frame is about 0.12 s.This approach could establish a basis for further research in autonomous vehicles. | Yingfeng Cai Tiantian Zhang Hai Wang Yicheng Li Qingchao Liu Xiaobo Chen | 2019 | Automotive Innovation2019，2，4： | 1 |
| 10 | EyeHealer:A large-scale anterior eye segment dataset with eye structure and lesion annotations显示文摘Anterior segment eye diseases account for a significant proportion of presentations to eye clinics worldwide,including diseases associated with corneal pathologies,anterior chamber abnormalities(e.g.blood or inflammation),and lens diseases.The construction of an automatic tool for segmentation of anterior segment eye lesions would greatly improve the efficiency of clinical care.With research on artificial intelligence progressing in recent years,deep learning models have shown their superiority in image classification and segmentation.The training and evaluation of deep learning models should be based on a large amount of data annotated with expertise;however,such data are relatively scarce in the domain of medicine.Herein,the authors developed a new medical image annotation system,called EyeHealer.It is a large-scale anterior eye segment dataset with both eye structures and lesions annotated at the pixel level.Comprehensive experiments were conducted to verify its performance in disease classification and eye lesion segmentation.The results showed that semantic segmentation models outperformed medical segmentation models.This paper describes the establishment of the system for automated classification and segmentation tasks.The dataset will be made publicly available to encourage future research in this area. | Wenjia Cai Jie Xu Ke Wang Xiaohong Liu Wenqin Xu Huimin Cai Yuanxu Gao Yuandong Su Meixia Zhang Jie Zhu Charlotte L.Zhang Edward E.Zhang Fangfei Wang Yun Yin Iat Fan Lai Guangyu Wang Kang Zhang Yingfeng Zheng | 2021 | Precision Clinical Medicine2021，4，2： | 0 |
| 11 | Application and Hydration Resistance of SiC Refractories for Water-cooled Wall of Waste Incinerators显示文摘According to the dual needs of heat transfer and thermal insulation in incinerators,different parts of the incinerators are designed with refractories of different SiC contents.Water vapor is mainly concentrated in the zones of feeding,drying and combustion,and the main damage factors of SiC refractories include high temperature and hydration.The results of hydration resistance of typical SiC-containing refractories show that the higher the SiC content,the worse the hydration resistance.Si_(3)N_(4)-SiC refractories after oxidation treatment have good hydration corrosion resistance,which are appropriate for water-cooled wall of waste incinerators. | LUO Huaming CAI Binli YUAN Zhenqiang ZUO Genliang Zhang Jingzheng WANG Fengyu LI Jinyu WEI Yingfeng SUN Huochang ZHAN Huasheng | 2022 | China's Refractories2022，31，2： | 0 |
| 12 | A Novel Structural Measure Separating Non-Coding RNAs from Genomic Backgrounds显示文摘RNA secondary structure has become the most exploitable feature for ab initio detection of non-coding RNA(nc RNA) genes from genome sequences. Previous work has used Minimum Free Energy(MFE) based methods developed to identify nc RNAs by measuring sequence fold stability and certainty. However, these methods yielded variable performances across different nc RNA species. Designing novel reliable structural measures will help to develop effective nc RNA gene finding tools. This paper introduces a new RNA structural measure based on a novel RNA secondary structure ensemble constrained by characteristics of native RNA tertiary structures. The new method makes it possible to achieve a performance leap from the previous structure-based methods. Test results on standard nc RNA datasets(benchmarks) demonstrate that this method can effectively separate most nc RNAs families from genome backgrounds. | Yingfeng Wang Russell L.Malmberg Liming Cai | 2015 | Tsinghua Science and Technology2015，20，5： | 0 |
| 13 | Immunomodulatory and Antiviral Therapy Improved Functional Cure Rate in CHB Patients with High HBsAg Level Experienced NA显示文摘Background and Aims:A functional cure,or hepatitis B virus(HBV)surface antigen(HBsAg)loss,is difficult to achieve in patients with hepatitis B virus e antigen(HBeAg)-positive chronic hepatitis B.The HBV vaccine and granulocyte-macrophage colony-stimulating factor(GM-CSF)have been reported to help reduce HBsAg levels and promote HBsAg loss.In this prospective randomized trial,we evaluated HBsAg loss in patients receiving pegylated interferon α2b(PEGIFN-α2b)and tenofovir disoproxil fumarate(TDF),with and without GM-CSF and HBV vaccination.Methods:A total of 287 patients with HBeAg positive chronic hepati-tis B and seroconversion after nucleot(s)ide analog treat-ment were assigned randomly to three treatment groups for 48 weeks,TDF alone(control),PEGIFN-α2b+TDF,and PEGIFN-α2b+TDF+GM-CSF+HBV vaccine.The prima-ry endpoints were the proportions of patients with HBsAg loss and seroconversion at 48 and 72 weeks.Resu/ts:The cumulative HBsAg loss rates in the control,PEGIFN-α2b+TDF,and PEGIFN-α2b+TDF+GM-CSF+HBV vaccine groups at week 48 were 0.0%,28.3%,and 41.1%,respec-tively.The cumulative HBsAg seroconversion rates in these groups at week 48 were 0.0%,21.7%,and 33.9%,respec-tively.Multivariate regression analysis showed that GM-CSF use plus HBV vaccination was significantly associated with HBsAg loss(p=0.017)and seroconversion(p=0.030).Con-clusions:In patients with HBeAg-positive chronic hepatitis B and seroconversion after nucleot(s)ide analog treatment,immunomodulatory/antiviral treatment regimens effective-ly improved HBsAg loss,and the regimen including GM-CSF and HBV vaccination was most effective. | Hongyu Jia Guodong Yu Jiong Yu Xiaoli Zhang Lisha Yang Bin Wang Jiming Zhang Lang Bai Xinxin Zhang Kai Wang Ping Zhao Dongliang Yang Yingren Zhao Yanyan Yu Yimin Zhang Jueqing Gu Chanyuan Ye Huan Cai Yingfeng Lu Dairong Xiang Liang Yu Jiangshan Lian Jianhua Hu Shanyan Zhang Ciliang Jin Yida Yang | 2023 | Journal of Clinical and Translational Hepatology2023，11，5： | 0 |
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