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      • KCI등재

        Simulation of Impact Toughness with the Effect of Temperature and Irradiation in Steels

        Chenchong Wang,Jinliang Wang,Yuhao Li,Chi Zhang,Wei Xu 한국원자력학회 2019 Nuclear Engineering and Technology Vol.51 No.1

        One of the important requirements for the application of reduced activation ferritic/martensitic steel is toretain proper mechanical properties in irradiation and high temperature conditions. In order to simulatethe impact toughness with the effect of temperature and irradiation, a simulation model based on energybalance method consisted of crack initiation, plastic propagation and cleavage propagation stages wasestablished. The effect of temperature on impact toughness was analyzed by the model and the trend ofthe simulation results was basicly consistent with the previous experimental results of CLAM steels. Theload-displacement curve was simulated to express the low temperature ductile-brittle transition. Theeffect of grain size and inclusion was analyzed by the model, which was consistent with classicalexperiment results. The transgranular-intergranular transformation in brittle materials was alsosimulated.

      • KCI등재

        Experimental Study on Mechanical and Durability Properties of Glass and Polypropylene Fiber Reinforced Concrete

        Jinliang Liu,Yanmin Jia,Jun Wang 한국섬유공학회 2019 Fibers and polymers Vol.20 No.9

        The aim of the study is to validate the effect of glass fiber and polypropylene fiber on improving the mechanicaland durability properties of concrete. In this regard, glass fiber, polypropylene fiber and hybrid fiber were added to concrete,respectively. This paper conducted the compressive and bending flexural tests to confirm that the fiber enhances themechanical properties of concrete. In order to evaluate the durability of fiber reinforced concrete, the rapid chloride migrationtest and rapid chloride penetration test were carried out. The comparisons of experimental results illustrate that the hybridfiber reinforced concrete has the most significant effect on the concrete properties improvements. Moreover, comparing withthe glass fiber reinforced concrete, the polypropylene fiber reinforced concrete plays a better performance on mechanical anddurability properties.

      • KCI등재후보

        Fractional order complementary non-singular terminal sliding mode control of PMSM based on neural network

        Jinliang Zhang,Dunbin Zhu,Wei Jian,Wentao Hu,Guosheng Peng,Yufeng Chen,Zhihu Wang 한국자동차공학회 2024 International journal of automotive technology Vol.25 No.2

        Aiming at the sensitivity problems of uncertain factors such as parameter variation, external disturbance and friction for thepermanent magnet synchronous motor control system of electric vehicle, a fractional order complementary non-singular terminalsliding mode control method based on neural network is proposed. The mathematical model of permanent magnet synchronousmotor with uncertain factors was established. The sliding mode controller was designed by combining the generalized slidingmode surface and the complementary sliding mode surface, which shortened the arrival time from the state trajectory to slidingmode surface. The fractional calculus operator with fi ltering characteristics was used to improve the position tracking accuracyand reduce the chattering. As for the variety of uncertain disturbances, the neural network was used to estimate the system totaluncertainty and compensate online to further improve the dynamic response ability and anti-interference ability. Finally, thesimulation results verify the eff ectiveness and feasibility of the proposed method, which can provide theoretical and technicalsupport for improving the control accuracy of permanent magnet synchronous motor and the development of electric vehicles.

      • Molecular Recognition Enables Nanosubstrate-Mediated Delivery of Gene-Encapsulated Nanoparticles with High Efficiency

        Peng, Jinliang,Garcia, Mitch André,Choi, Jin-sil,Zhao, Libo,Chen, Kuan-Ju,Bernstein, James R.,Peyda, Parham,Hsiao, Yu-Sheng,Liu, Katherine W.,Lin, Wei-Yu,Pyle, April D.,Wang, Hao,Hou, Shuang,Tse American Chemical Society 2014 ACS NANO Vol.8 No.5

        <P/><P>Substrate-mediated gene delivery is a promising method due to its unique ability to preconcentrate exogenous genes onto designated substrates. However, many challenges remain to enable continuous and multiround delivery of the gene using the same substrates without depositing payloads and immobilizing cells in each round of delivery. Herein we introduce a gene delivery system, nanosubstrate-mediated delivery (NSMD) platform, based on two functional components with nanoscale features, including (1) DNA⊂SNPs, supramolecular nanoparticle (SNP) vectors for gene encapsulation, and (2) Ad-SiNWS, adamantane (Ad)-grafted silicon nanowire substrates. The multivalent molecular recognition between the Ad motifs on Ad-SiNWS and the β-cyclodextrin (CD) motifs on DNA⊂SNPs leads to dynamic assembly and local enrichment of DNA⊂SNPs from the surrounding medium onto Ad-SiNWS. Subsequently, once cells settled on the substrate, DNA⊂SNPs enriched on Ad-SiNWS were introduced through the cell membranes by intimate contact with individual nanowires on Ad-SiNWS, resulting in a highly efficient delivery of exogenous genes. Most importantly, sequential delivery of multiple batches of exogenous genes on the same batch cells settled on Ad-SiNWS was realized by sequential additions of the corresponding DNA⊂SNPs with equivalent efficiency. Moreover, using the NSMD platform <I>in vivo</I>, cells recruited on subcutaneously transplanted Ad-SiNWS were also efficiently transfected with exogenous genes loaded into SNPs, validating the <I>in vivo</I> feasibility of this system. We believe that this nanosubstrate-mediated delivery platform will provide a superior system for <I>in vitro</I> and <I>in vivo</I> gene delivery and can be further used for the encapsulation and delivery of other biomolecules.</P>

      • KCI등재

        A Novel Instrument for Testing the Frictional Properties of Fabric Surfaces

        Tanyu Wang,Zhaoguang Zuo,Jun Xie,Jinliang Chen,Hao Liu,Sha Li 한국섬유공학회 2022 Fibers and polymers Vol.23 No.8

        The surface structure of a fabric not only affects the style, appearance and weaving process of the fabric, but alsohas an important influence on the performance and comfort of the garment it is processed on. The surface friction propertiesof fabrics are one of the important mechanical characteristics in the evaluation of fabric feel and can provide an importantscientific basis for the performance evaluation and quality control of fabrics. The system consists of a test module and acontrol module, which can dynamically test the changes in positive pressure and multiple directions in real time. The testprocess is controlled in real time by the measurement and control software in the control module, which also displays thenumerical magnitude and variation curves of the friction coefficient, positive pressure and friction force. The coefficient ofvariation (CV) of the coefficient of friction for fabrics with different test speeds at the same time is less than 10 % for normalexperiments on fabrics. After five repeatable tests using cotton, polyester-cotton and polyester fabrics, the mean values of thecoefficient of friction for the three fabrics were very close and the instrument showed good stability and repeatability. Incomparison tests with the KES fabric style meter test system, the coefficient of friction curves for cotton fabrics measured byboth instruments were consistent, with the mean values fluctuating slightly around 0.23. After five tests, the inter-group CVof the surface friction coefficient of the fabric was only 0.88 %. A correlation analysis of the surface roughness of the fabricusing the data processing method and the roughness signal obtained from the KES direct test showed a correlation coefficientgreater than 0.8 and a slope of the linear regression line greater than 1, demonstrating the high correlation between theindirect test method using data processing and the direct test of the mechanical test.

      • KCI등재

        Tailoring Mechanical Properties of a Low Carbon Cu-Containing Structural Steel by Two-Step Intercritical Heat Treatment

        Xiaohui Xi,Jinliang Wang,Liqing Chen,Zhaodong Wang 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.6

        In this paper, a process of two-step intercritical heat treatment was used to control the amount of retained austenite andnano-scaled precipitates for a low carbon Cu-containing structural steel such that the mechanical properties of this steelcan be tailored. In this process, the first step is intercritical annealing and a mixed microstructure can be obtained whichcontains intercritical ferrite, tempered martensite, fresh martensite and a small amount of retained austenite. The subsequentintercritical tempering was introduced to be beneficial for producing more stable retained austenite at room temperaturethrough secondary enrichment of stabilizers (Mn, Ni). Also, (Nb, V, Mo) (C, N) precipitates were formed during intercriticalannealing, while smaller (Nb, V, Mo) (C, N) precipitates and Cu-rich particles with diameter of 5–15 nm were obtainedafter intercritical tempering. It is due to the contributions from multi-phase microstructure, strain-induced transformation ofstable retained austenite and strengthening of nano-scaled precipitates that a combination of high strength, good ductility,low yield to tensile ratio (Y/T ratio) and excellent low-temperature toughness was achieved. The strengthening and tougheningmechanism were discussed on the basis of retained austenite formation and interaction between Cu precipitates and thematrix, together with the crack propagation.

      • Compass Detection Algorithm based on Image Corner

        Jia Li,Jinliang Wang,Ping Duan 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.5

        To improve the Features from Accelerated Segment Test (FAST) algorithm such as artificial threshold setting and the choice and ordering of continuous points on circle, a novel compass detection algorithm is proposed. The algorithm uses four compasses as the test mask and calculates threshold value based on image intensity feature. Four compasses are used to pre-detect corners. In order to improve the location accuracy of corners, pseudo response on skewed edges is eliminated. Finally, multiple adjacent responses are tackled by keeping only points which have extremal value of Laplacian. Comparative experiments between FAST and the proposed algorithm are carried out with respect to validity, robustness and efficiency. The results show that the detected corners by the proposed algorithm are accurately located and well-distributed.

      • KCI등재

        Metastatic pattern of ovarian cancer delineated by tracing the evolution of mitochondrial DNA mutations

        Xu Zhiyang,Zhou Kaixiang,Wang Zhenni,Liu Yang,Wang Xingguo,Gao Tian,Xie Fanfan,Yuan Qing,Gu Xiwen,Liu Shujuan,Xing Jinliang 생화학분자생물학회 2023 Experimental and molecular medicine Vol.55 No.-

        Ovarian cancer (OC) is the most lethal gynecologic tumor and is characterized by a high rate of metastasis. Challenges in accurately delineating the metastatic pattern have greatly restricted the improvement of treatment in OC patients. An increasing number of studies have leveraged mitochondrial DNA (mtDNA) mutations as efficient lineage-tracing markers of tumor clonality. We applied multiregional sampling and high-depth mtDNA sequencing to determine the metastatic patterns in advanced-stage OC patients. Somatic mtDNA mutations were profiled from a total of 195 primary and 200 metastatic tumor tissue samples from 35 OC patients. Our results revealed remarkable sample-level and patient-level heterogeneity. In addition, distinct mtDNA mutational patterns were observed between primary and metastatic OC tissues. Further analysis identified the different mutational spectra between shared and private mutations among primary and metastatic OC tissues. Analysis of the clonality index calculated based on mtDNA mutations supported a monoclonal tumor origin in 14 of 16 patients with bilateral ovarian cancers. Notably, mtDNA-based spatial phylogenetic analysis revealed distinct patterns of OC metastasis, in which a linear metastatic pattern exhibited a low degree of mtDNA mutation heterogeneity and a short evolutionary distance, whereas a parallel metastatic pattern showed the opposite trend. Moreover, a mtDNA-based tumor evolutionary score (MTEs) related to different metastatic patterns was defined. Our data showed that patients with different MTESs responded differently to combined debulking surgery and chemotherapy. Finally, we observed that tumor-derived mtDNA mutations were more likely to be detected in ascitic fluid than in plasma samples. Our study presents an explicit view of the OC metastatic pattern, which sheds light on efficient treatment for OC patients.

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