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| 1 | Experimental and numerical study on instability structure of the supersonic mixing layer(M_c = 0.5)显示文摘The parameters of instability wave of supersonic mixing layer(Mc=0.5,M1=3.5/M2=1.4) are measured by flow visualization and calculated by means of two-dimensional direct numerical simulaitons of the compressible Navier-Stokes equations.In both cases of the mixing layer with harmonic disturbance or not,the comparative results indicate that the wavelength of the two-dimensional wave is equal to the vortex spacing in the streamwise direction because the difference between them is less than 1%.However,the measured convective velocity of the large-scale structure deviates from the theoretical isentropic prediction about 10%.Here the measured value confirms that Mc,2 | YANG WuBing ZHUANG FengGan SHEN Qing GUAN FaMing WANG Qiang YI ShiHe ZHAO YuXin HE Lin TIAN LiFeng | 2009 | Science China(Physics,Mechanics & Astronomy)2009，52，10： | 2 |
| 2 | Detection of Serum Gastric Cancer-Associated MG7-Ag from Gastric Cancer Patients Using a Sensitive and Convenient ELISA Method显示文摘 | Bin Jin Xin Wang Yan Jin Wensen Xia Bei Chen Lin Liu Zheng Chen Liu Hong Wenqi Du Kun Yan Honghong Wang Donghong Yuan Xiaoli Hui Li He Faming Zhang Yunping Zhao Kaichun Wu Daiming Fan | 2009 | Cancer Investigation2009，，2： | 1 |
| 3 | Cockroach-inspired Traversing Narrow Obstacles for a Sprawled Hexapod Robot显示文摘Inspired by the cockroach’s use of a pitch-roll mode traverses through narrow obstacles,we improve the RHex-style robot by adding two sprawl joints to adjust the body posture,and propose a novel pitch-roll approach that enables an RHex-style robot to traverse through two cylindrical obstacles with a spacing of 90 mm,about 54%body width.First,the robot can pitch up against the obstacle on the one side by the cooperation of its rear and middle legs.Then,the robot rotates one side rear leg to kick the ground fast,meanwhile the sprawl joint on the other side rotates inward to make the robot roll and fall forward.Finally,the robot can rotate the legs on the ground to move the body forward until it crosses the obstacles.In this article,both cylinder and rectangular columns are considered as the narrow obstacles for traversing.The experiments are demonstrated by using the proposed approach,and the results show that the robot can smoothly traverse through different narrow spaces. | Xingguo Song Jiajun Pan Faming Lin Xiaolong Zhang Chunjun Chen Danshan Huang | 2022 | Journal of Bionic Engineering2022，19，5： | 0 |
| 4 | Expert consensus on odontogenic maxillary sinusitis multi-disciplinary treatment显示文摘Odontogenic maxillary sinusitis (OMS) is a subtype of maxillary sinusitis (MS). It is actually inflammation of the maxillary sinus that secondary to adjacent infectious maxillary dental lesion. Due to the lack of unique clinical features, OMS is difficult to distinguish from other types of rhinosinusitis. Besides, the characteristic infectious pathogeny of OMS makes it is resistant to conventional therapies of rhinosinusitis. Its current diagnosis and treatment are thus facing great difficulties. The multi-disciplinary cooperation between otolaryngologists and dentists is absolutely urgent to settle these questions and to acquire standardized diagnostic and treatment regimen for OMS. However, this disease has actually received little attention and has been underrepresented by relatively low publication volume and quality. Based on systematically reviewed literature and practical experiences of expert members, our consensus focuses on characteristics, symptoms, classification and diagnosis of OMS, and further put forward multidisciplinary treatment decisions for OMS, as well as the common treatment complications and relative managements. This consensus aims to increase attention to OMS, and optimize the clinical diagnosis and decision-making of OMS, which finally provides evidence-based options for OMS clinical management. | Jiang Lin Chengshuo Wang Xiangdong Wang Faming Chen Wei Zhang Hongchen Sun Fuhua Yan Yaping Pan Dongdong Zhu Qintai Yang Shaohua Ge Yao Sun Kuiji Wang Yuan Zhang Mu Xian Ming Zheng Anchun Mo Xin Xu Hanguo Wang Xuedong Zhou Luo Zhang | 2024 | International Journal of Oral Science2024，16，1： | 0 |
| 5 | A Survey of Malware Classification Methods Based on Data Flow Graph显示文摘Malware is emerging day by day.To evade detection,many malware obfuscation techniques have emerged.Dynamicmalware detectionmethods based on data flow graphs have attracted much attention since they can deal with the obfuscation problem to a certain extent.Many malware classification methods based on data flow graphs have been proposed.Some of them are based on userdefined features or graph similarity of data flow graphs.Graph neural networks have also recently been used to implement malware classification recently.This paper provides an overview of current data flow graph-based malware classification methods.Their respective advantages and disadvantages are summarized as well.In addition,the future trend of the data flow graph-based malware classification method is analyzed,which is of great significance for promoting the development of malware detection technology. | Tingting Jiang Lingling Cui Zedong Lin Faming Lu | 2022 | 国际计算机前沿大会会议论文集2022，，1： | 0 |
| 6 | Survey of Methods for Time Series Symbolic Aggregate Approximation显示文摘Time series analysis is widely used in the fields of finance, medical, and climate monitoring. However, the high dimension characteristic of time series brings a lot of inconvenience to its application. In order to solve the high dimensionality problem of time series, symbolic representation, a method of time series feature representation is proposed, which plays an important role in time series classification and clustering, pattern matching, anomaly detection and others. In this paper, existing symbolization representation methods of time series were reviewed and compared. Firstly, the classical symbolic aggregate approximation (SAX) principle and its deficiencies were analyzed. Then, several SAX improvement methods, including aSAX, SMSAX, ESAX and some others, were introduced and classified;Meanwhile, an experiment evaluation of the existing SAX methods was given. Finally, some unresolved issues of existing SAX methods were summed up for future work. | Lin Wang Faming Lu Minghao Cui Yunxia Bao | 2019 | 国际计算机前沿大会会议论文集2019，，1： | 0 |
| 7 | Real-time monitoring flexible hydrogels based on dual physically cross-linked network for promoting wound healing显示文摘To achieve smart and personalized medicine, the development of hydrogel dressings with sensing properties and biotherapeutic properties that can act as a sensor to monitor of human health in real-time while speeding up wound healing face great challenge. In the present study, a biocompatible dual-network composite hydrogel(DNCGel) sensor was obtained via a simple process. The dual network hydrogel is constructed by the interpenetration of a flexible network formed of poly(vinyl alcohol)(PVA) physical cross-linked by repeated freeze-thawing and a rigid network of iron-chelated xanthan gum(XG) impregnated with Fe^(3+) interpenetration. The pure PVA/XG hydrogels were chelated with ferric ions by immersion to improve the gel strength(compressive modulus and tensile modulus can reach up to 0.62 MPa and0.079 MPa, respectively), conductivity(conductivity values ranging from 9 × 10^(-4) S/cm to 1 × 10^(-3)S/cm)and bacterial inhibition properties(up to 98.56%). Subsequently, the effects of the ratio of PVA and XG and the immersion time of Fe^(3+) on the hydrogels were investigated, and DNGel3 was given the most priority on a comprehensive consideration. It was demonstrated that the DNCGel exhibit good biocompatibility in vitro, effectively facilitate wound healing in vivo(up to 97.8% healing rate) under electrical stimulation, and monitors human movement in real time. This work provides a novel avenue to explore multifunctional intelligent hydrogels that hold great promise in biomedical fields such as smart wound dressings and flexible wearable sensors. | Le Hu Yuxin Wang Qing Liu Man Liu Faming Yang Chunxiao Wang Panpan Pan Lin Wang Li Chen Jingdi Chen | 2023 | Chinese Chemical Letters2023，34，10： | 0 |
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