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Yan‐xin Zhang,Wei Hua,Lin‐han Wang,Zhuo Che,Xiu‐rong Zhang 한국유전학회 2010 Genes & Genomics Vol.32 No.3
The molecular genetic diversity of 404 indigenous landraces from sesame core collection in China were evaluated by 11SRAP and 3 SSR markers, 175 fragments were generated, of which 126 were polymorphic with an average polymorphism rate of 72%. Jaccard’s genetic similarity coefficients (GS=0.7130), Nei's gene diversity (h=0.2418) and Shannon's Information index (I=0.3847) were calculated, a dendrogram of the 404 landraces was made, landraces from various zones were distributed throughout the dendrogram, accessions from different agro‐ecological zones were indistinguishable by cluster analysis, geographical separation did not generally result in greater genetic distance, a similar pattern was obtained using principal coordinates (PCO) analysis. As to seven agro‐ecological zones, the maximum Nei’s gene diversity (h = 0.2613)and Shannon index (I = 0.3980) values in zone VII indicated that they were genetically more diverse than those in other zones, while the least genetically diverse region was zone III (h = 0.1772, I = 0.2858). Nei's genetic identity and genetic distance among landraces from seven agro‐ecological zones were also analyzed, the genetic relationship of seven zones was inferred using the UPGMA method. This study demonstrated that SRAP and SSR markers were appropriate for evaluation of sesame genetic diversities. There existed extensive genetic diverse among indigenous landraces and the abundance of genetic diversity of landraces in different agro‐ecological zones was various. Understanding of these characteristics of indigenous landraces in China can provide theoretical foundation for further collection, effective protection and reasonable utilization of these sesame landraces in breeding.
Yan-Hua Huang,Sheng-Qi Yang,Guo-Qing Chen,Bo Meng 한국지질과학협의회 2022 Geosciences Journal Vol.26 No.1
It is important to analyze the rock crack initiation, propagation and coalescence in fractured rock mass. At present, the 3D crack evolution process of pre-flawed rock has not been comprehensively studied during the deformation. In this study, uniaxial compression tests were carried out on cylindrical sandstone specimens with two pre-existing flaws with various ligament inclination angles. The crack evolution process at the front surface of the specimen was analyzed by photographic and AE monitoring. In addition, a 3D discrete element modelling was conducted to explore the spatial crack evolution behaviors during compressive loading. Both the numerical strength and final failure modes of specimens were consistent with those obtained in the laboratory experiment. The numerical simulation results revealed that the internal crack distribution was not always identical along the thickness direction. Two types of crack coalescence were identified. The experimental and numerical results enhance the understanding of 3D crack evolution mechanism of fractured rock under external loading.
( Yan Hua Ma ),( Kee Do Woo ),( Dong Soo Kang ),( Sang Mi Kim ) 대한금속재료학회(구 대한금속학회) 2013 대한금속·재료학회지 Vol.51 No.5
Metallic biomaterials such as titanium and its alloys have been widely used as permanent implant materials due to their excellent corrosion resistance, fatigue property, and strength. Calcium pyrophosphate (CPP) is an attractive bioceramic for human tissue implantation due to its good biocompatibility and similar composition to human bone. High energy mechanical milling and spark plasma sintering (SPS) can be used to fabricate a sound composite of the Ti-Nb-Zr-CPP. In a biomaterial such as the Ti-6Al-4V ELI alloy, the coating property between the bioceramic and Ti-based alloy is very important. By addition of CPP to the Ti-Nb-Zr alloy, the Ti-Nb-Zr alloy can improve the wetability between the Ti alloy and bioceramic as a coating material. Also the porous surface of the biomaterials can improve the symphyseal ability with osteoblast. In this study, a porous surface can be made by using several different leaching solutions such as aqueous diluted H3PO4. Ti-Nb-Zr-CPP composite was fabricated by spark plasma sintering (SPS) at 1000 ℃ under 70 MPa using high energy mechanical milled powder. A porous surface was successfully fabricated by using a 40 vol%H3PO4+ 60 vol.%H2O leaching solution at room temperature for 24 h.
Yan Hua Wang,Jing Lv,Yan Feng,Bo Wen Dai,Cheng Wang,Jing Wu,Zi Yan Chen 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.28 No.2
Substructure pseudo-dynamic hybrid simulation (SPDHS) is an advanced structural seismic testing method which combines physical experiment and numerical simulation. Generally, the key components which display nonlinearity first are taken as experimental substructures for actual test, and the remaining parts are modeled in simulation. Model updating techniques can be effectively applied to enhance the model precision of nonlinear numerical elements. Specifically, the constitutive model of the experimental substructure is identified online by the instantaneously-measured data, and the corresponding numerical elements with similar hysteretic behaviors are updated synchronously. Artificial neural network (ANN) can recognize the system which cannot be represented by definite numerical model, and thus avoids the structural response distortion caused by the inherent numerical model defects. In this study, a framework for online model updating in SPDHS with ANN method is expanded to implement actual test validation. Moreover, the effectiveness of ANN method is demonstrated by practical tests of a two-story frame model with bending dampers. Additionally, the unscented Kalman filter technique and offline ANN identification approach are both examined in the test validation. The experimental results show that, under the identical loading history, the online ANN method can significantly reduce the model errors and improve the accuracy of SPDHS.
An Comparative Analysis on Solow residuals in China and Korean manufacturing industries
Yan Hua Zhu,Suk Jung Jeong,Sehoon Park 한국산업정보학회 2014 한국산업정보학회 학술대회논문집 Vol.2014 No.1
The Korean economy has accomplished the high rates of economic growth during the last four decades through the export-led growth strategy by the government. It is well recognized that the export in the Korean manufacturing industries has been still leading the Korean economic growth. On the other hand the Chinese economy has also achieved rapidly economic growth since 1990’s. There have been a lot of studies that the increases in productivity in the manufacturing industries has contributed to the export growth, then leading to the economic growth in Korea and China. The cyclicality of productivity has been one of the essential issues in macroeconomics and industrial economics. Since Solow(1957) developed the dominant approach to the measurement of productivity growth, Solow’s approach, which assumes the perfect competition, the constant returns to scale, and the full use of input factor has been modified particularly in Hall’s (1990) and Basu’s (1996) works. Their researches take account of market power, returns to scale, and variable factor utilization. This paper establishes the empirical model based on Hall’s (1990) and Basu’s(1996) models, estimates 4 types of Solow’s residuals in 8 Korean manufacturing industries over the period 1975:1-2014:4, and in Chinese economy over the period 1990:1-2014:4 and analyzes the cyclicality of measured productivity, comparing the productivities in both countries.
Medical Tourism Industry in Kangwon Province and Its Economic Impacts on the Region
Yan Hua Zhu,Joo Hoon Kang,Yong-Sik Jung 한국산업정보학회 2014 한국산업정보학회논문지 Vol.19 No.3
This paper has two purposes. The first is to suggest the new and simple method to derive a regional input-output model from national input-output table published by the Bank of Korea. The interregional input-output table has not been devised in spite of its potential use while the national table has been made every five years with the revised version during each five years. Second, this paper aims to derive Kangwon interregional input-output model from the national model using the regional supply proportional of industry and to analyze the effect of medical tourism industry on the regional economy of Kangwon Province. The paper measures, in particular, the effect of medical tourism industry on the financial self-sufficiency of Kangwon Province using the estimated output elasticity of tax revenue with the autoregressive distributed lag scheme ADL(1,1) in which the dependent variable ad the single explanatory variable are each lagged once.<br/>
Yan Hua Wang,Jing Lv,Jing Wu,Cheng Wang 국제구조공학회 2020 Smart Structures and Systems, An International Jou Vol.26 No.1
Substructure pseudo-dynamic hybrid simulation (SPDHS) combining the advantages of physical experiments and numerical simulation has become an important testing method for evaluating the dynamic responses of structures. Various parameter identification methods have been proposed for online model updating. However, if there is large model gap between the assumed numerical models and the real models, the parameter identification methods will cause large prediction errors. This study presents an ANN (artificial neural network) method based on forgetting factor. During the SPDHS of model updating, a dynamic sample window is formed in each loading step with forgetting factor to keep balance between the new samples and historical ones. The effectiveness and anti-noise ability of this method are evaluated by numerical analysis of a six-story frame structure with BRBs (Buckling Restrained Brace). One BRB is simulated in OpenFresco as the experimental substructure, while the rest is modeled in MATLAB. The results show that ANN is able to present more hysteresis behaviors that do not exist in the initial assumed numerical models. It is demonstrated that the proposed method has good adaptability and prediction accuracy of restoring force even under different loading histories.