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Stationary Treatment Compared with Individualized Chinese Medicine for Type 2 Diabetes Patients with Microvascular Complications:Study Protocol for a Randomized Controlled Trial

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Chinese Journal of Integrative Medicine 2018年第10期24卷 728-733页

作者： huo Jian LIU Li-sha JIAN Wen-yuan ZENG Jie-ping DUAN Jun-guo LU xue-jing YIN Shuo College of Ophthalmology Chengdu University of Traditional Chinese Medicine Good Clinical Practice Center the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine

Background： Microvascular complications in type 2 diabetes （T2DM）, including diabatic retinopathy （DR）, diabetic kidney disease （DKD）, diabetic peripheral neuropathy （DPN） are the leading causes of visual loss, end-stage renal disease or amputation, while the current therapies are still unsatisfactory. Chinese medicine （CM） has been widely used for treating diabetic mettitus. However, most of the previous studies focused on the single complication. The role of CM treatment in T2DM patients with 2 or multiple microvascular complications is not clear. Objective： To appraise the curative effect of CM in T2DM patients with 2 or multiple microvascular complications, and to compare the effects of stationary treatment and individualized treatment in T2DM patients with microvascular complications. Methods： This trial will be an 8-center, randomized, controlled study with 8 parallel groups. A total of 432 patients will be randomized to 8 groups： DR study group （32 cases） and a corresponding control group （32 cases）, DR＋DKD study group （64 cases） and a corresponding control group （64 cases）, DR＋DPN study group （64 cases） and a corresponding control group （64 cases）, DR＋DKD＋DPN study group （56 cases） and a corresponding control group （56 cases）. The control group will receive stationary treatment, and the study group will receive individualized treatment based on CM syndrome differentiation in addition to stationary treatment. The study duration will be 50 weeks, comprising a 2-week run-in period, 24 weeks of intervention, and 24 weeks of follow-up. The outcomes will assess efficacy of treatment, improvement in CM symptoms, safety assessments, adherence to the treatment, and adverse events. Conclusion： This study will provide evidence of evidence-based medicine for CM treatment in two or multiple microvascular complications caused by T2DM. （Registration No. ChiCTR-IPR-15007072）

关键词： Chinese medicine diabetic microvascular complications randomized controlled trial Qiming Granule

Transorbital nonmissile penetrating brain injury: Report of two cases

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World Journal of Clinical Cases 2020年第2期8卷 471-478页

作者： Hang xue Wei-Tao Zhang Guang-ming Wang Lin shi Yi-ming Zhang Hong-Fa Yang Department of Neurotraumatic Surgery The First Hospital of Jilin UniversityChangchun 130021Jilin ProvinceChina Department of Neurosurgery The Affiliated Hospital of Changchun University of Traditional Chinese MedicineChangchun 130021Jilin ProvinceChina Department of Neurosurgery Qilu Hospital of Shandong UniversityJi’nan 250002Shandong ProvinceChina

BACKGROUND Penetrating brain injury(PBI) is an uncommon emergency in neurosurgery, and transorbital PBI is a rare type of PBI. Reasonable surgical planning and careful postoperative management can improve the prognosis of patients CASE SUMMARY The first case is a 68-year-old male patient who was admitted to the hospital because a branch punctured his brain through the orbit for approximately 9 h after he unexpectedly fell while walking. After admission, the patient underwent emergency surgical treatment and postoperative anti-infection treatment. The patient was able to follow instructions at a 4-mo follow-up review. The other case is a 46-year-old male patient who was admitted to the hospital due to an intraorbital foreign body caused by a car accident, after which the patient was unconscious for approximately 6 h. After admission, the patient underwent emergency surgical treatment and postoperative anti-infection treatment. The patient could correctly answer questions at a 3-mo follow-up *** Transorbital PBI is a rare and acute disease. Early diagnosis, surgical intervention, and application of intravenous antibiotics can improve the prognosis and quality of life of patients.

关键词： Transorbital Nonmissile Penetrating brain injury Foreign body Case report

THREE-DIMENSIONAL PAIRING OF COHERENT STRUCTURES IN A PLANE MIXING LAYER

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Journal of Hydrodynamics 2002年第2期14卷 1-6页

作者： Lin, Jian-Zhong shi, Xing Yu, Zhao-Sheng Shao, xue-ming Dept. of Mech. Lab. of Fluid Power Trans. Zhejiang Univ. Hangzhou 310027 China

The three-dimensional (3D) pairing process of coherent structures in a plane mixing layer was simulated numerically with the pseudo-spectral method. The behaviors of spanwise cup-shaped vortices, streamwise rib-shaped vortices and quadrupoles were obtained in terms of their iso-surfaces. The results show that three-dimensional structures are strongly influenced by the initial amplitude of the 3D disturbance, and that in most cases the local pairing finishes in a roughly two-dimensional manner. In pairing region, the streamwise vortices are chaotic after pairing due to the breakdown of the engulfed ribs and especially the subsequent breakdown of the quadrupoles. The surviving ribs extend to the top (or bottom) of the paired vortices under the stretch of them. In addition, it is revealed that three dimensional vortices pairing can enhance the mixing of fluid. Finally, some patterns of numerical flow visualization are presented by computing the passive scalar.

关键词： Flow of fluids Flow visualization Mixing Numerical analysis Three dimensional

Atomistic Simulations of the Mechanical Deformation of Irradiation-amorphized Silicon Carbide

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Chinese Journal of Mechanical Engineering 2010年第6期23卷 671-676页

作者： xue Kun NIU Lisha shi Huiji Department of Engineering Mechanics Tsinghua University Beijing 100084 China

Irradiation-induced atomic-scale defects and lattice disorder in Silicon Carbide （SIC） can significantly affect the material＇s mechanical properties. Currently there lacks a unified physical model capable of describing the law in which the properties of SiC scale with the accumulation of defects, especially in terms of the underlying physical mechanism. To develop fundamental models that are capable of describing the various physical properties of SiC as a function of microstructural change, molecular dynamics simulations of uniaxial tension were performed on a series of irradiation-amorphized SiC （a-SiC） samples with a range of imposed chemical disorder, which is defined as the ratio between the number of homonuclear bonds and heteronuclear bonds （x = Nc-c / Nsi-c）. With increasing chemical disorder, significant alternation of mechanical response of a-SiC has been detected in terms of increasingly pronounced plastic flow. Meanwhile relevant mechanical properties, including Young＇s modulus, strength, yield stress and strain, as well as failure strain scale monotonically with chemical disorder while in distinct manners. Specifically slight chemical disorder （x = 0.045） could induce substantial reduction of Young＇s modulus up to -2%, whereas strength basically linearly varies with chemical disorder until x≈0.5 upon which the variations in mechanical properties tend to saturate. Further examination of the evolution of atomic structure of a-SiC reveals a crossover of deformation mechanisms from homogeneous elastic deformation to localized plastic flow, which accounts for the strong chemical disorder dependence of the mechanical properties as well as mechanical responses of amorphous SiC. This crossover is also manifested in switching of fracture mode from brittle failure dominated by lattice instability in the ligaments between topological disordered clusters to nanoductile failure preceded by percolation of nanocavities. Employing chemical disorder to measure the defec

关键词： silicon carbide irradiation-amorphization molecular dynamics modeling tensile test chemical disorder

Application of rough graph in relationship mining

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Journal of Systems Engineering and Electronics 2008年第4期19卷 742-747页

作者： He Tong xue Peijun shi Kaiquan School of Mathematics and System Sciences Shandong Univ. Jinan 250100 P. R. China

Based on the definition of class shortest path in weighted rough graph, class shortest path algorithm in weighted rough graph is presented, which extends classical shortest path algorithm. The application in relations... 详细信息

关键词： rough graph weighted rough graph class shortest path dijkstra algorithm relationship mining

Rejuvenation Heat Treatment of the Second-Generation Single-Crystal Superalloy DD6

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Acta Metallurgica Sinica(English Letters) 2015年第10期28卷 1278-1285页

作者： Zhen-xue shi shi-Zhong Liu Jia-Rong Li Science and Technology on Advanced High Temperature Structural Materials Laboratory Beijing Institute of Aeronautical Materials

The second-generation single-crystal superalloy DD6 with [001] orientation was prepared by screw selecting method in the directionally solidified furnace. The long-term aging of the alloy after full heat treatment was performed at1100 °C for 400 h. Then the rejuvenation heat treatment 1300 °C/4 h/AC ？ 1120 °C/4 h/AC ？ 870 °C/24 h/AC was carried out. The stress rupture properties were investigated at 760 °C/800 MPa, 850 °C/550 MPa, 980 °C/250 MPa and1100 °C/140 MPa after different heat treatments. The microstructures of the alloy at different conditions were studied by SEM. The results show that c0 phase of the alloy became very irregular and larger after long-term aging at 1100 °C for 400 h. A very small amount of needle-shaped TCP phase precipitated in the dendrite core. The coarsened c0 phase and TCP phase dissolved entirely after rejuvenation heat treatment. The microstructure was restored and almost same with the original microstructure. The stress rupture life of the alloy decreased in different degrees at various test conditions after long-term aging. The stress rupture life of the alloy after rejuvenation heat treatment all restores to the original specimen more than 80%at different conditions. The microstructure degradation of the alloy during long-term aging includes coarsening of the c0 phase,P-type raft and precipitation of TCP phase, which results in the degeneration of stress rupture property. The rejuvenation heat treatment succeeds in restoring the original microstructure and stress rupture properties of the alloy.

关键词： Single-crystal superalioy DD6 Rejuvenation heat treatment Stress rupture properties

IMPROVEMENT OF CREEP RESISTANCE OF POLYTETRAFLUOROETHYLENE FILMS BY NANO-INCLUSIONS

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Chinese Journal of Polymer Science 2013年第3期31卷 377-387页

作者： xue-bo shi Chun-lei Wu Min-zhi Rong Tibor Czigany 阮文红 ming-qiu Zhang Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education DSAPM LabSchool of Chemistry and Chemical EngineeringSun Yat-sen (Zhongshan) University Donghong Rubber & Plastics Products Company Ltd. Department of Polymer Engineering Budapest University of Technology and Economics

To improve creep resistance of directional polytetrafluoroethylene （PTFE） films, epoxy grafted nano-SiO2 is mixed with PTFE powder before sintering and calender rolling. The aligned macromolecular chains （especially those in amorphous region） of the composite films can be bundled up by the nanoparticles to share the applied stress together. In addition, incorporation of silica nanoparticles increases crystallinity of PTFE and favors microfibrillation of PTFE in the course of large deformation. As result, PTFE films exhibit lower creep strain and creep rate, and higher tensile strength and hardness. The work is believed to open an avenue for manufacturing high performance fluoropolymers by nano-inclusions.

关键词： Polytetrafluoroethylene (PTFE) Nano-silica Directional films Creep resistance Crystallinity.

A CMA-ES-Based Adversarial Attack Against Black-Box Object Detectors

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Chinese Journal of Electronics 2021年第3期30卷 406-412页

作者： LYU Haoran TAN Yu'an xue yuan WANG Yajie xue Jingfeng School of Computer Science and Technology Beijing Institute of Technology Academy of Military Science

Object detection is one of the essential tasks of computer vision. Object detectors based on the deep neural network have been used more and more widely in safe-sensitive applications, like face recognition, video surveillance, autonomous driving, and other tasks. It has been proved that object detectors are vulnerable to adversarial attacks. We propose a novel black-box attack method, which can successfully attack regression-based and region-based object detectors. We introduce methods to reduce search dimensions, reduce the dimension of optimization problems and reduce the number of queries by using the Covariance matrix adaptation Evolution strategy(CMA-ES) as the primary method to generate adversarial examples. Our method only adds adversarial perturbations in the object box to achieve a precise *** proposed attack can hide the specified object with an attack success rate of 86% and an average number of queries of 5, 124, and hide all objects with a success rate of74% and an average number of queries of 6, 154. Our work illustrates the effectiveness of the CMA-ES method to generate adversarial examples and proves the vulnerability of the object detectors against the adversarial attacks.

关键词： regression analysis video surveillance precise attack computer vision optimisation specified object essential tasks adversarial attacks region-based object detectors deep neural network object box adversarial perturbations primary method safe-sensitive applications attack regression-based black-box attack method CMA-ES-based adversarial attack evolutionary computation neural nets face recognition adversarial examples CMA-ES method attack success rate covariance matrices black-box object detectors object detection

Droid Detector:Android Malware Characterization and Detection Using Deep Learning

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Tsinghua Science and Technology 2016年第1期21卷 114-123页

作者： Zhenlong yuan Yongqiang Lu Yibo xue Department of Automation and Research Institute of Information Technology (RIIT) Tsinghua University Department of Antivirus Baidu Inc. Research Institute of Information Technology (RIIT) and Tsinghua National Lab for Information Science and Technology (TNList) Tsinghua University

Smartphones and mobile tablets are rapidly becoming indispensable in daily life. Android has been the most popular mobile operating system since 2012. However, owing to the open nature of Android, countless malwares are hidden in a large number of benign apps in Android markets that seriously threaten Android security. Deep learning is a new area of machine learning research that has gained increasing attention in artificial intelligence. In this study, we propose to associate the features from the static analysis with features from dynamic analysis of Android apps and characterize malware using deep learning techniques. We implement an online deep-learning-based Android malware detection engine（Droid Detector） that can automatically detect whether an app is a malware or not. With thousands of Android apps, we thoroughly test Droid Detector and perform an indepth analysis on the features that deep learning essentially exploits to characterize malware. The results show that deep learning is suitable for characterizing Android malware and especially effective with the availability of more training data. Droid Detector can achieve 96.76% detection accuracy, which outperforms traditional machine learning techniques. An evaluation of ten popular anti-virus softwares demonstrates the urgency of advancing our capabilities in Android malware detection.

关键词： Android security malware detection characterization deep learning association rules mining