• Title/Summary/Keyword: Homogeneity analysis

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Estimation of Genetic Parameters for Milk Production Traits Using a Random Regression Test-day Model in Holstein Cows in Korea

  • Kim, Byeong-Woo;Lee, Deukhwan;Jeon, Jin-Tae;Lee, Jung-Gyu
    • Asian-Australasian Journal of Animal Sciences
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    • v.22 no.7
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    • pp.923-930
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    • 2009
  • This study was conducted to compare three models: two random regression models with and without considering heterogeneity in the residual variances and a lactation model (LM) for evaluating the genetic ability of Holstein cows in Korea. Two datasets were prepared for this study. To apply the test-day random regression model, 94,390 test-day records were prepared from 15,263 cows. The second data set consisted of 14,704 lactation records covering milk production over 305 days. Raw milk yield and composition data were collected from 1998 to 2002 by the National Agricultural Cooperative Federation' dairy cattle improvement center by way of its milk testing program, which is nationally based. The pedigree information for this analysis was collected by the Korean Animal Improvement Association. The random regression models (RRMs) are single-trait animal models that consider each lactation record as an independent trait. Estimates of covariance were assumed to be different ones. In order to consider heterogeneity of residual variance in the analysis, test-days were classified into 29 classes. By considering heterogeneity of residual variance, variation for lactation performance in the early lactation classes was higher than during the middle classes and variance was lower in the late lactation classes than in the other two classes. This may be due to feeding management system and physiological properties of Holstein cows in Korea. Over classes e6 to e26 (covering 61 to 270 DIM), there was little change in residual variance, suggesting that a model with homogeneity of variance be used restricting the data to these days only. Estimates of heritability for milk yield ranged from 0.154 to 0.455, for which the estimates were variable depending on different lactation periods. Most of the heritabilities for milk yield using the RRM were higher than in the lactation model, and the estimate of genetic variance of milk yield was lower in the late lactation period than in the early or middle periods.

Multi-stage Image Restoration for High Resolution Panchromatic Imagery (고해상도 범색 영상을 위한 다중 단계 영상 복원)

  • Lee, Sanghoon
    • Korean Journal of Remote Sensing
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    • v.32 no.6
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    • pp.551-566
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    • 2016
  • In the satellite remote sensing, the operational environment of the satellite sensor causes image degradation during the image acquisition. The degradation results in noise and blurring which badly affect identification and extraction of useful information in image data. Especially, the degradation gives bad influence in the analysis of images collected over the scene with complicate surface structure such as urban area. This study proposes a multi-stage image restoration to improve the accuracy of detailed analysis for the images collected over the complicate scene. The proposed method assumes a Gaussian additive noise, Markov random field of spatial continuity, and blurring proportional to the distance between the pixels. Point-Jacobian Iteration Maximum A Posteriori (PJI-MAP) estimation is employed to restore a degraded image. The multi-stage process includes the image segmentation performing region merging after pixel-linking. A dissimilarity coefficient combining homogeneity and contrast is proposed for image segmentation. In this study, the proposed method was quantitatively evaluated using simulation data and was also applied to the two panchromatic images of super-high resolution: Dubaisat-2 data of 1m resolution from LA, USA and KOMPSAT3 data of 0.7 m resolution from Daejeon in the Korean peninsula. The experimental results imply that it can improve analytical accuracy in the application of remote sensing high resolution panchromatic imagery.

A Study on the Method for the Local Transmittance Measurements of the Ocular Lens (안경 렌즈의 국소적 투과율 측정을 위한 방법에 관한 연구)

  • Park, Sang-Kook;Ri, Hyeong-Cheol;Youk, Do-Jin;Sung, Duk-Yong;Kang, Sung-Soo
    • Journal of Korean Ophthalmic Optics Society
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    • v.19 no.4
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    • pp.471-477
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    • 2014
  • Purpose: We have analyzed the transmittance distribution of the ocular lens using local transmittance microscope to investigate the optical homogeneity of the lens. Methods: The transmittance of the laser which is focused on the surface of the ocular lens was measured by using the photo-detector and lock-in amplifier and analyzed. Multi-coated, uncoated, and progressive lenses were analyzed. Results: In the measurement of the progressive lens and a physical stimulated lens, local transmittance microscopy analysis showed a high degree of match with the measurement results through the optical microscope. In addition, the average value of the transmittance is reduced and the standard deviation was increased in the presence of optical defects. In unstimulated lens, there are a large impact on transmittance whether the anti-reflective coating is presence or absence in both the local transmittance microscopy and general transmittance analysis. Conclusions: The distribution of the transmittance measured by local transmission microscopy were changed when the various stimulus is applied to the lenses. These analyzes by local transmission microscopy can be utilized as a way to evaluate or determine the uniformity of the coating film or lens.

Analysis of Elevation Variation within a Rice Paddy Field (수도작 포장 균평도의 연중 변화 분석)

  • Sung, Je-Hoon;Jang, Soon-Woo
    • Korean Journal of Soil Science and Fertilizer
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    • v.39 no.5
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    • pp.307-314
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    • 2006
  • Elevation differences within a paddy field relate strongly to plant health, crop homogeneity, and pest control. For precision agriculture (PA), the elevation within a field should be precisely controlled. We analyzed variation in elevation within two rice paddies over one crop cycle. The study took place in two rectangular plots (Field A and Field B, each $50m{\times}30m$). Elevations within the two plots were measured by a laser-equipped surveying instrument, that could determine elevations to precisions of 1 mm. The test fields were divided into grids with 30 squares; elevation was measured at the center of each $5{\times}10-m$ grid square. This study measured elevation during nine observation periods from pre-plowing to post-harvest. Descriptive statistics showed the highest elevations after plowing due to soil disturbance. One-way analysis of variance (ANOVA) revealed significant elevation differences before and after plowing and transplanting, although elevations were similar over the period of crop growth. Comparison of pre-plowing and post-harvest data showed differences in elevations, indicating that elevation changes occurred during plowing, rice transplanting, plant growth, and harvesting. In summary, the above statistical analyses indicated that elevation changes occurred due to plowing but not during the plant growth season or due to harvesting.

Purification and characterization of the extracellular alginate lyase from Streptomyces sp. MET 0515 (Streptomces sp. MET 0515의 균체외 Alginate lyase의 정제 및 특성)

  • Kim, Hyun-Kyoung;Lee, Jae-Chang;Kang, Nam-Hyun;Kim, Song-Hee;Kim, Jong-Guk;Chung, Ki-Chul
    • Journal of Life Science
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    • v.17 no.5 s.85
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    • pp.625-633
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    • 2007
  • We isolated a new extracellular alginate lyase-producing microorganism, which displayed alginate-depolymerizing activity in plate assays, from coastal soils in Wando, Jeollanam-do, Korea. This alginate-depolymerizing bacterium belonged to the genus Streptomyces and it was named Streptomyces sp. MET 0515. An extracellular alginate lyase(ALY1) secreted by Streptomyces sp. MET 0515, was purified to homogeneity by a combination of acetone precipitation, anion-exchange chromatography (Q-Sepharose and DEAE-Sepharose) and Sephacryl S-200 HR gel filtration chromatography. Its molecular mass was 26 kDa as determined by SDS-PACE analysis. The enzyme had an optimal temperature of $70^{\circ}C$ for its activity, and was most active at pH 7.5. The thermal and pH stability were $0-50^{\circ}C$, and pH 6.0-9.0, respectively. The enzyme activity was stimulated by 1mM $Mn^{2+}$, and inhibited by 1mM $Fe^{3+}$, 1mM EDTA and 1mM $Zn^{2+}$. Preliminary analysis of substrate specificity showed that this alginate lyase had activity on both poly-alpha 1,4-L-guluronate and poly-beta 1,4-D-mannuronate in the alginate molecule.

Development of Sequential Sampling Plans for Tetranychus urticae in Strawberry Greenhouses (딸기 온실에서 점박이응애의 축차표본조사법 개발)

  • Choe, Hojeong;Kang, Juwan;Jung, Hyojin;Choi, Sira;Park, Jung-Joon
    • Korean Journal of Environmental Biology
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    • v.35 no.4
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    • pp.427-436
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    • 2017
  • A fixed-precision-level sampling plan was developed to establish control of the two-spotted spider mite, Tetranychus urticae, in two strawberry greenhouses (conventional plot, natural enemy plot). T. urticae was sampled by taking a three-leaflet leaf (1 stalk) from each plant (3 three-leaflet leaves) from each sampling position. Each leaflet was divided into three different units (1-leaflet, 2-leaflet, and 3-leaflet units) to compare relative net precision (RNP) values for selection of the appropriate sampling unit. The relative net precision values indicated that a 1-leaflet unit was more precise and cost-efficient than other units. The spatial distribution analysis was performed using Taylor's power law (TPL). Homogeneity of the TPL parameters in each greenhouse was evaluated by using the analysis of covariance (ANCOVA). A fixed-precision-level sequential sampling plan was developed using the parameters of TPL generated from the combined data of the conventional plot and natural enemy plot in a 1-leaflet sampling unit. Sequential classification sampling plans were also developed using the action threshold of 3 and 10 mites for pooled data. Using the results obtained in the independent data, simulated validation of the developed sampling plan by Resampling validation for sampling plan (RVSP) indicated a reasonable level of precision.

Structural elucidation of immuno-stimulating polysaccharide, galactomannan isolated from Colocasia esculenta (토란으로부터 분리한 면역활성 다당 galactomannan의 구조적 특성 규명)

  • Lee, Hee-Won;Shin, Kwang-Soon
    • Korean Journal of Food Science and Technology
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    • v.52 no.6
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    • pp.595-603
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    • 2020
  • To elucidate the structure-function relationship of polysaccharides obtained from Colocasia esculenta, the immuno-stimulating polysaccharide, CE-4a was purified to homogeneity from the crude polysaccharide (CE) extracted from the corms of C. esculenta by two subsequent column chromatographies using DEAE-Sepharose FF and Sephadex G-100, and analysis of their immuno-stimulatory activities and structure were conducted. CE-4a showed an increase in anti-complementary activity in a dose-dependent fashion. The molecular mass was estimated to be 182.4 kDa, which mainly consisted of galactose (43.5%) and mannose (18.2%). Methylation analysis indicated that CE-4a comprised at least 10 different glycosyl linkages, such as terminal Galp, 3-linked Galp, and 4-linked Manp, as well as a characteristic linkage, 2,4,6-branched Manp residue. To analyze the fine structure of CE-4a, it was sequentially digested using endo-α-(1→4)-polygalacturonase, exo-α-galactosidase and endo-β-1,4-D-mannanase. These analyses suggested that CE-4a is to be a highly branched galactomannan with a (1→4)-mannan backbone and galactopyranosyl oligosaccharide side chains.

Innovation and Industrial Concentration (R&D 지출과 경제적 성과에 관한 실증분석 - 16개 광역지역을 대상으로 -)

  • Lee, Dong-Soo;Cho, Taek-Hee
    • The Journal of the Korea Contents Association
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    • v.21 no.3
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    • pp.184-193
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    • 2021
  • This paper investigates the performance of technology innovation activities performed by firms in 16 major regions in Korea using 2002-2010 survey data by STEPI. The theoretical and empirical analysis is carried out via the 2 models which are the simple R&D - total revenue model and Cobb-Douglas model based on the simple model adding labor variable. The main results shows that for simple model, the R&D elasticity for total revenue is 0.42 for all areas and Ul-San shows the highest elasticity level, 0.66 and Bu-San the lowest level, 0.2. In case of Cobb Douglas model the R&D elasticities are not statistically significant for many regions. To overcome the low statistical significance, we grouped the 15 regions for 3 wider regions using ANOVA based on the R&D intensity for the homogeneity of R&D activities. By grouping, each region has more observations to analyze and the results from the empirical analysis shows higher statistical significance level and data explanation capability. In this case, Group 3 which shows larger firm size and slightly higher export share shows the highest level of R&D elasticity, 0.088 and Group 1 which has the smallest firm size and the lowest revenue growth rate shows the lowest level, 0.31. For the labor elasticity, Group 1 shows the higest level, 1.16 and Group2 the lowest level, 1.096. These results show that the regions which have many middle and small firms reveal low R&D-revenue elasticity and high labor-revenue elasticity.

The Development and Effect of Posttraumatic Growth Program for Adolescents with Traumatic Experiences (외상경험 청소년의 외상 후 성장 프로그램 개발 및 효과)

  • Cha, Ji-young;Ham, Kyong-ae;Cheon, Seong-moon
    • Korean Journal of School Psychology
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    • v.16 no.2
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    • pp.129-157
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    • 2019
  • The purpose of this study is to develop a group counseling program for adolescents with traumatic experiences and to verify the effect of the program. For this purpose, the posttraumatic growth program was developed in accordance with the group counseling program that based on the needs of field experts and the needs of the subjects. This program consisted of 10 sessions. To verify the effectiveness of the developed program, 20 characterization high school students were divided into experimental group and control group, and a total of 10 sessions were performed twice a week. After the program was conducted on the experimental group, quantitative analysis was conducted for comparison according to the lapse of time: before, after, and follow-up. independent sample t-analysis was used to examine homogeneity between two groups beforehand. Mixed ANOVA was also used to verify a hypothesis. In conclusion, the posttraumatic growth program has significant effects on posttraumatic growth and intentional rumination level with experienced adolescents. Findings and implications of this study were discussed.

A Meta-analysis of Ambient Air Pollution in Relation to Daily Mortality in Seoul, $1991\sim1995$ (메타분석 방법을 적용한 서울시 대기오염과 조기사망의 상관성 연구 (1991년$\sim$1995년))

  • Dockery, Douglas W.;Kim, Chun-Bae;Jee, Sun-Ha;Chung, Yong;Lee, Jong-Tae
    • Journal of Preventive Medicine and Public Health
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    • v.32 no.2
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    • pp.177-182
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    • 1999
  • Objectives: To reexamine the association between air pollution and daily mortality in Seoul, Korea using a method of meta-analysis with the data filed for 1991 through 1995. Methods: A separate Poisson regression analysis on each district within the metropolitan area of Seoul was conducted to regress daily death counts on levels of each ambient air pollutant, such as total suspended particulates (TSP), sulfur dioxide $(SO_2)$, and ozone $(O_3)$, controlling for variability in the weather condition. We calculated a weighted mean as a meta-analysis summary of the estimates and its standard error. Results: We found that the p value from each pollutant model to test the homogeneity assumption was small (p<0.01) because of the large disparity among district-specific estimates. Therefore, all results reported here were estimated from the random effect model. Using the weighted mean that we calculated, the mortality at a $100{\mu}g/m^3$ increment in a 3-day moving average of TSP levels was 1.034 (95% Cl 1.009-1.059). The mortality was estimated to increase 6% (95% Cl 3-10%) and 3% (95% Cl 0-6%) with each 50 ppb increase for 9-day moving average of SO2 and 1-hr maximum O3, respectively. Conclusions: Like most of air pollution epidemiologic studies, this meta-analysis cannot avoid fleeing from measurement misclassification since no personal measurement was taken. However, we can expect that a measurement bias be reduced in a district-specific estimate since a monitoring station is hefter representative cf air quality of the matched district. The similar results to those from the previous studios indicated existence of health effect of air pollution at current levels in many industrialized countries, including Korea.

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