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      • KCI등재

        Modelling Uncertainties and Sensitivity Analysis of Landslide Susceptibility Prediction under Different Environmental Factor Connection Methods and Machine Learning Models

        Faming Huang,Haowen Xiong,Xiaoting Zhou,Filippo Catani,Jinsong Huang 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.1

        The utilization of different connection methods between landslides and environmental factors introduces uncertainty in landslide susceptibility prediction (LSP). Investigating and identifying the characteristics of this uncertainty and determining more suitable connection methods are of significant importance for LSP. This study uses original 12 environmental factors data as well as calculated data from five connection methods, namely, probability statistics (PS), frequency ratio (FR), information volume (IV), index of entropy (IOE), and weight of evidence (WOE), as model input variables. Then, four machine learnings logistic regression (LR), Bayesian networks (BN), support vector machines (SVM) and C5.0 Decision Trees (C5.0 DT) are combined with the calculated data and the original data to create 24 unique combinations of connection methods and models. Under these 24 combinations, the uncertainty analysis of LSP modeling is conducted, using Huichang County of China as an example. The analysis entails accuracy assessment, statistical analysis of landslide susceptibility indexes (LSIs), distribution patterns of LSIs and sensitivity analysis of the two uncertainty issues. The results show that: 1) LSP accuracies of the FR-, IV- and IOE-based models are comparable, but are lower than those of the WOE-based models, with those of the PS-based models being the worst. WOE has better nonlinear connection performance than the other methods. 2) LSP accuracies of individual models are slightly lower than those of coupled models, but their modeling efficiencies are higher than those of coupled models. 3) The machine learning is more sensitive than the connection method for LSP. In short, WOE-C5.0 DT has the lowest LSP uncertainty while a single machine learning can produce satisfied LSP results with high modelling efficiency.

      • SCIESCOPUSKCI등재
      • KCI등재

        A Granular Classifier By Means of Context-based Similarity Clustering

        Wei Huang,Jinsong Wang,Jiping Liao 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.5

        In this study, we propose a granular classifier (GC) with the aid of a context-based similarity clustering (CSC) method and applied it for network intrusion detection. The proposed CSC supporting the design of information granules is exploited here to determine the so-called contexts. Unlike the conventional similar clustering method, here the CSC built clusters by taking into consideration of both input data and output data. The design of granular classifier is realized based on the if-then rules, which consists two parts: namely premise part and conclusion part. The premise part is developed by using the CSC, while the conclusion part is realized with the aid of supported vector machines. In contrast to typical rule-based classifier, the underlying principle exploited here is to consider a robust classification with the adequate use of output data. In particular, rule-based classifiers or supported vector machines can be regarded as a special case of the proposed granular classifier. Numeric studies show the superiority of the proposed approach.

      • <i>SWIFT</i> GRB GRB071010B: OUTLIER OF THE <i>E</i><sup>src</sup><sub>peak</sub> - <i>E</i><sub>γ</sub> AND <i>E</i><sub>iso</sub> - <i>E</i><sup>src</sup><sub>peak</sub> - <i>t</i><sup>src</sup><sub>jet</sub> CORRELATIONS

        Urata, Yuji,Huang, Kuiyun,Im, Myungshin,Lee, Induk,Deng, Jinsong,Ip, WingHuen,Krimm, Hans,Liping, Xin,Ohno, Masanori,Qiu, Yulei,Sugita, Satoshi,Tashiro, Makoto,Wei, Jianyan,Yamaoka, Kazutaka,Zheng, We IOP Publishing 2009 ASTROPHYSICAL JOURNAL LETTERS - Vol.706 No.1

        <P>We present multi-band results for GRB071010B based on Swift, Suzaku, and ground-based optical observations. This burst is an ideal target to evaluate the robustness of the E-peak(src) - E-iso and E-peak(src) - E-gamma relations, whose studies have been in stagnation due to the lack of the combined estimation of E-peak(src) and long-term optical monitoring. The joint prompt spectral fitting using Swift/Burst Alert Telescope and Suzaku/Wide-band All-sky Monitor data yielded the spectral peak energy as E-peak(src) of 86.5(-6.3)(+6.4) keV and E-iso of 2.25(-0.16)(+0.19) x 10(52) erg with z = 0.947. The optical afterglow light curve is well fitted by a simple power law with temporal index alpha = -0.60 +/- 0.02. The lower limit of temporal break in the optical light curve is 9.8 days. Our multi-wavelength analysis reveals that GRB071010B follows E-peak(src) - E-iso but violates the E-peak(src) - E-gamma and E-iso - E-peak(src) - t(jet)(src) at more than the 3 sigma level.</P>

      • SCISCIESCOPUS

        Scaffold-Free, Engineered Porcine Cartilage Construct for Cartilage Defect Repair—In Vitro and In Vivo Study

        Park, Kwideok,Huang, Jinsong,Azar, Frederick,Jin, Ri L.,Min, Byoung-Hyun,Han, Dong K.,Hasty, Karen Blackwell Publishing Inc 2006 Artificial Organs Vol.30 No.8

        <P>Abstract: </P><P>This study introduces an implantable scaffold-free (SF) cartilage tissue construct that is composed of chondrocytes and their self-produced extracellular matrix (ECM). Chondrocytes were isolated from the articular cartilages from knees of domestic pigs (2-week old) and monolayer-cultured for 3–4 days in Dulbecco’s modified Eagle’s medium supplemented with 10% fetal calf serum and 50 µg/mL of ascorbic acid. Briefly treated with 0.25% trypsin–ethylenediaminetetraacetic acid (EDTA), an intact chondrocytes/ECM membrane, as a cell sheet was released from the plate bottom and subsequently centrifuged into a pellet-type construct. Each was grown in vitro for up to 5 weeks and subjected to various assays at different time points (1, 7, 14, 21, and 35 days). For in vivo implantation, full-thickness defects (<I>n</I> = 4) were manually created on the femoro-patellar groove of the left porcine knee and 1-week-cultured SF construct was implanted as an allograft for a month. One defect (♯1) was an empty control and the remaining three received different recipes; construct only (♯2) or 0.25% trypsin/EDTA-treated first and then construct and collagen gel (♯3) or construct and collagen gel (♯4). While the total cell numbers significantly increased by 2 weeks and then remained stable, cell viability stayed in the mid-70% range through the entire culture period. Biochemical assay found continuous glycosaminoglycan (GAG) accumulation. Histology exhibited that cell distribution was even in the construct and GAG intensity became stronger and uniform with time. Real-time reverse transcription polymerase chain reaction (RT-PCR) results showed that phenotypic stability peaked at 2 weeks, which was arable to that of freshly isolated chondrocytes. Upon analysis of the retrieved implants, some promising results were witnessed in the defects (♯3) retaining not only their intact mass but also chondrocytic morphology with lacuna formation. </P>

      • KCI등재

        Dissecting the meteorological and genetic factors affecting rice grain quality in Northeast China

        Chen Mojun,Li Zhao,Huang Jie,Yan Yongfeng,Wu Tao,Bian Mingdi,Zhou Jinsong,Wang Yongjun,Lyv Yanjie,Hu Guanghui,Jin Yong-Mei,Huang Kai,Guo Liping,Jiang Wenzhu,Du Xinglin 한국유전학회 2021 Genes & Genomics Vol.43 No.8

        Background The Northeast Plain of China, which is an important region for the production of high grain quality rice in China. However, the grain quality of the rice produced varies across this region, even for the same cultivar. Objective In order to explore the meteorological factors that have the greatest infuence on quality and the transcriptional level diferences between diferent cultivars and diferent locations at grain flling stage. Methods We grew eight rice cultivars in three locations in Northeast China during two growing seasons (2017 and 2018). We recorded meteorological conditions, including air temperature, air temperature range, and photosynthetically active radiation (PAR) during the grain-flling stage of each cultivar, and analyzed the grain quality of those eight cultivars. Results Across all eight cultivars, meteorological factors had a stronger efect on eating quality than genotype, while genotype had a stronger efect on milling quality. Of the three environmental factors assessed, PAR was signifcantly correlated with the most grain quality traits. Using RNA-sequencing analysis, we identifed 573 environment-specifc DEGs (Diferentially Expressed Genes), and 119 genotype-specifc DEGs; 11 DEGs were responsive to genotype×environment interactions. These DEGs were involved in many key metabolic processes. Conclusion Our results indicated that interactions among environmental factors, especially PAR, afected rice quality in Northeast China. Further analyses of the DEGs identifed herein may provide useful information for future breeding programs aiming to develop high grain quality rice varieties suitable for cultivation across Northeast China.

      • KCI등재

        Identification of QTLs for agronomic traits in indica rice using an RIL population

        Feifei Xu,Yan Huang,Jinsong Bao 한국유전학회 2015 Genes & Genomics Vol.37 No.10

        Increasing grain weight and breeding for ideal plant architecture are two means to improve the productivity of rice. Quantitative trait locus (QTL) mapping was conducted on ten yield component traits using a recombinant inbred line population derived from an indica 9 indica cross (M201 9 JY293). Correlation analysis revealed that plant height, panicle length and flag leaf length, classified as plant morphology traits, were positively correlated with grain shape traits such as thousandgrain weight, grain length and grain width. Two tillering traits, total and effective tiller numbers, showed negative correlations with nearly all the other traits tested. A total of 37 QTLs were detected over the 2-year study period, and 14 of them were identified in both years. Four clustered QTLs corresponding to known genes/QTLs (GW2, GS3, qGL3 and qTGW3.3) were revealed on chromosomes 2 and 3, which had pleiotropic effects on grain weight and plant architecture traits. QTL mapping demonstrated that qGL3 was a major QTL controlling grain length and weight, as well as plant height, panicle length and flag leaf length in rice. Three new QTLs, qTGW3.0, qGL2.2 and qETN4, were detected in both years and worth attention in breeding for high-yield rice varieties.

      • Synergistic Effect of Combined Growth Factors in Porcine Intervertebral Disc Degeneration

        Cho, Hongsik,Lee, Sangmin,Park, Sang-Hyug,Huang, Jinsong,Hasty, Karen A.,Kim, Song-Ja Informa Healthcare 2013 Connective tissue research Vol.54 No.3

        <P>Although intervertebral disc (IVD) degeneration is one of most common causes of morbidity, its etiology remains unclear. In healthy discs, the rates of synthesis and breakdown of the extracelluar matrix (ECM) are in equilibrium because of intricate regulation by growth factors and catabolic cytokines. Important among these physiologic growth factors are transforming growth factor-β (TGF-β1) and bone morphogenetic protein-2 (BMP-2). Disc degeneration is thought to be associated with a loss of this homeostasis between proteoglycan (PG) synthesis and cytokine-induced degradation leading to up-regulation of matrix metalloproteinases (MMP) families and down-regulation of extracelluar matrix production. Several strategies using biological agents have been attempted to manage IVD degeneration, improving the function and anabolic capabilities of IVD cells and inhibiting matrix degradation. The purpose of this study is to compare the effects of the anabolic cytokines BMP-2 and TGF-β1 with those of the catabolic cytokines interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α) on porcine annulus fibrosus (AF). The results of this study show that the application of pro-inflammatory cytokines like tumor necrosis factor-α and interleukin-1β to normal annulus fibrosus cells leads to a significant increase in tissue levels of the degradative protease MMP-1. Treatment with a combination of minimum doses of both BMP-2 and TGF-β1 caused a greater decrease in MMP-1 and increase in aggrecan than either cytokine alone, suggesting a synergistic effect of the combined cytokines.</P>

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