• Title/Summary/Keyword: I-AIC

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Fabrication of Poly Seed Layer for Silicon Based Photovoltaics by Inversed Aluminum-Induced Crystallization (역 알루미늄 유도 결정화 공정을 이용한 실리콘 태양전지 다결정 시드층 생성)

  • Choi, Seung-Ho;Park, Chan-Su;Kim, Shin-Ho;Kim, Yang-Do
    • Korean Journal of Materials Research
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    • v.22 no.4
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    • pp.190-194
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    • 2012
  • The formation of high-quality polycrystalline silicon (poly-Si) on relatively low cost substrate has been an important issue in the development of thin film solar cells. Poly-Si seed layers were fabricated by an inverse aluminum-induced crystallization (I-AIC) process and the properties of the resulting layer were characterized. The I-AIC process has an advantage of being able to continue the epitaxial growth without an Al layer removing process. An amorphous Si precursor layer was deposited on Corning glass substrates by RF magnetron sputtering system with Ar plasma. Then, Al thin film was deposited by thermal evaporation. An $SiO_2$ diffusion barrier layer was formed between Si and Al layers to control the surface orientation of seed layer. The crystallinity of the poly-Si seed layer was analyzed by Raman spectroscopy and x-ray diffraction (XRD). The grain size and orientation of the poly-Si seed layer were determined by electron back scattering diffraction (EBSD) method. The prepared poly-Si seed layer showed high volume fraction of crystalline Si and <100> orientation. The diffusion barrier layer and processing temperature significantly affected the grain size and orientation of the poly Si seed layer. The shorter oxidation time and lower processing temperature led to a better orientation of the poly-Si seed layer. This study presents the formation mechanism of a poly seed layer by inverse aluminum-induced crystallization.

Characteristics and Frequencies of Alternative Initiation Codon(AIC) of mtDNA ND2 in Five Pig Breeds (돼지 5품종에 있어서 mtDNA ND2 유전자의 선택적 개시코돈의 특성과 빈도)

  • Han, S.H.;Cho, I.C;Choi, Y.L.;Lee, C.E.;Ko, M,S.;Kim, J.H.;Seo, B.Y.;Lee, J.G.;Jeon, J.T.
    • Journal of Animal Science and Technology
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    • v.46 no.6
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    • pp.903-908
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    • 2004
  • Alternative initiation codon(AlC) has been reported in the mitochondrial genes in various mammalian species. We investigated the AlC of mitochondrial NADH dehydrogenase 2 gene(rntDNA ND2) in five pig breeds. Two kinds of initiation codons(ATA/ATf) showing different frequencies among tested pig breeds were used. While all Large White pigs had ATA as an initiator methionine codon, all Landrace pigs had ATf. The other breeds(Berkshire, Duroc and Hampshire) had both initiation codons with the ATA frequencies, 91.9, 21.3 and 60.00/0, respectively. In the previous reports, all Chinese indigenous pig breeds were identified to have unique initiation codon ATA. Although the effect of Ale on the translation of mtDNA ND2 has not been studied in this study, AlC patterns in mtDNA ND2 will contribute to the maternity test using molecular markers in pig breeding.

Discrimination of rival isotherm equations for aqueous contaminant removal systems

  • Chu, Khim Hoong
    • Advances in environmental research
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    • v.3 no.2
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    • pp.131-149
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    • 2014
  • Two different model selection indices, the Akaike information criterion (AIC) and the coefficient of determination ($R^2$), are used to discriminate competing isotherm equations for aqueous pollutant removal systems. The former takes into account model accuracy and complexity while the latter considers model accuracy only. The five types of isotherm shape in the Brunauer-Deming-Deming-Teller (BDDT) classification are considered. Sorption equilibrium data taken from the literature were correlated using isotherm equations with fitting parameters ranging from two to five. For the isotherm shapes of types I (favorable) and III (unfavorable), the AIC favors two-parameter equations which can easily track these simple isotherm shapes with high accuracy. The $R^2$ indicator by contrast recommends isotherm equations with more than two parameters which can provide marginally better fits than two-parameter equations. To correlate the more intricate shapes of types II (multilayer), IV (two-plateau) and V (S-shaped) isotherms, both indices favor isotherm equations with more than two parameters.

Importance of Considering Year-to-year Variability in Length-weight Relationship in a Size-based Fish Stock Assessment (체장기반 수산자원평가모델에 적용되는 체장-체중 관계의 연도별 변동성의 중요성)

  • Gim, Jinwoo;Hyun, Saang-Yoon
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.52 no.6
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    • pp.719-724
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    • 2019
  • This study is an extension of our previous model for a size-based fish stock assessment. In the previous model, we applied an allometric length-weight relationship (W=α·Lβ) to convert lengths of fish to weights, and estimated those parameters α and β, using data about lengths and weights aggregated over years. In this study, we focused on whether consideration of temporal (e.g., year-to-year) variability in those estimates (i.e., ${\hat{\alpha}}$ and ${\hat{\beta}}$) would contributive. After calculating year-specific estimates (i.e., year-specific pairs of ${\hat{\alpha}}$ and ${\hat{\beta}}$) by applying data about lengths and weights separated by year, we evaluated the contribution of those year-specific pairs of ${\hat{\alpha}}$ and ${\hat{\beta}}$ to the performance of the size-based stock assessment model. The model with such year-to-year variability being considered (lower AIC) outperformed that with the variability being ignored (higher AIC). We illustrated this study using data on Korean chub mackerel Scomber japonicus from 2005-2017.

Reliability-Based Design Optimization Using Akaike Information Criterion for Discrete Information (이산정보의 아카이케 정보척도를 이용한 신뢰성 기반 최적설계)

  • Lim, Woo-Chul;Lee, Tae-Hee
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.36 no.8
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    • pp.921-927
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    • 2012
  • Reliability-based design optimization (RBDO) can be used to determine the reliability of a system by means of probabilistic design criteria, i.e., the possibility of failure considering stochastic features of design variables and input parameters. To assure these criteria, various reliability analysis methods have been developed. Most of these methods assume that distribution functions are continuous. However, in real problems, because real data is often discrete in form, it is important to estimate the distributions for discrete information during reliability analysis. In this study, we employ the Akaike information criterion (AIC) method for reliability analysis to determine the best estimated distribution for discrete information and we suggest an RBDO method using AIC. Mathematical and engineering examples are illustrated to verify the proposed method.

Variable Selection for Logistic Regression Model Using Adjusted Coefficients of Determination (수정 결정계수를 사용한 로지스틱 회귀모형에서의 변수선택법)

  • Hong C. S.;Ham J. H.;Kim H. I.
    • The Korean Journal of Applied Statistics
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    • v.18 no.2
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    • pp.435-443
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    • 2005
  • Coefficients of determination in logistic regression analysis are defined as various statistics, and their values are relatively smaller than those for linear regression model. These coefficients of determination are not generally used to evaluate and diagnose logistic regression model. Liao and McGee (2003) proposed two adjusted coefficients of determination which are robust at the addition of inappropriate predictors and the variation of sample size. In this work, these adjusted coefficients of determination are applied to variable selection method for logistic regression model and compared with results of other methods such as the forward selection, backward elimination, stepwise selection, and AIC statistic.

Analysis of Eunpyeong New Town Land Price Using Geographically Weighted Regression (지리가중회귀분석을 이용한 은평뉴타운 지가 분석)

  • Jung, Hyo-jin;Lee, Jiyeong
    • Spatial Information Research
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    • v.23 no.5
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    • pp.65-73
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    • 2015
  • Newtown Business of Seoul had been performed to reduce deterioration of Gangbuk and economic inequality between Gangnam and Gangbuk. According to this, Eunpyeong-gu was set as test-bed for Newtown business and Newtown business had been completed until 2013. This study aims to analyze the influence of social and economical factors which affect land price using GWR (Geographically Weighted Regression) considered spatial effect. As a result of analysis, GWR model demonstrated a better goodness-of-fit than OLS (Ordinary least square) model typically used in most study. Furthermore, AIC value and Moran's I of residual prove that GWR model is more suitable than OLS model. GWR model enable to explain more detailed than global regression model as coefficient and sign show different value locally. In future, this research will be helpful to develop Eunpyeong-gu considering spatial characters and strength effectiveness of development.

Effects of Guar Suksolgi on the Blood Glucose and Lipids in Type-ll Diabetic Subjects (Guar gum을 첨가한 쑥설기가 Type-ll 당뇨환자의 혈액성분에 미치는 영향)

  • 장유경
    • Journal of the Korean Home Economics Association
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    • v.33 no.1
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    • pp.169-180
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    • 1995
  • To determine the effects of guar suksolgi on blood glucose and lipids in type-ll diabetic subjects, a piece of guar suksolgi(36.3g, 54Kcal) was administered to eight patients for 3 weeks every meal. No significant differences occured indietary intakes and body weight before and after the treatment. Fasting blood glucose levels were decreased from 132.38mg/dI to 114.75mg/dI after the treatment, but not statistically significant. Blood TG levels were increased from 159.13mg/dI to 175.00mg/dI after the treatment, but not statistically significant. Excluding one patient who had extremely high TG level, blood TG levels tended to be decreased from 148.00mg/dI to 121.00mg/dI. TC LDL-c, HDL-c levels were decreased after the treatment, but not statistically significant. HbAIC concentrations were decreased from 8.54mg/kI to 7.80mg/dI after the treatment, but not statistically significant. In the case of three patients who had had normal fasting blood glucose levels, blood glucose levels tended to be decreased at postprandial 30, 60 minutes, and blood insulin levels tended to be decreased at postprandial 30, 60, 90, 120 minutes, although none of the levels were statistically significant. Therefore, if guar suksolgi is adinistered to type-ll diabetic subjects being more hyperglycemic than our patients, their blood glucose and lipids will be decreased significantly.

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Application of single-step genomic evaluation using social genetic effect model for growth in pig

  • Hong, Joon Ki;Kim, Young Sin;Cho, Kyu Ho;Lee, Deuk Hwan;Min, Ye Jin;Cho, Eun Seok
    • Asian-Australasian Journal of Animal Sciences
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    • v.32 no.12
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    • pp.1836-1843
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    • 2019
  • Objective: Social genetic effects (SGE) are an important genetic component for growth, group productivity, and welfare in pigs. The present study was conducted to evaluate i) the feasibility of the single-step genomic best linear unbiased prediction (ssGBLUP) approach with the inclusion of SGE in the model in pigs, and ii) the changes in the contribution of heritable SGE to the phenotypic variance with different scaling ${\omega}$ constants for genomic relationships. Methods: The dataset included performance tested growth rate records (average daily gain) from 13,166 and 21,762 pigs Landrace (LR) and Yorkshire (YS), respectively. A total of 1,041 (LR) and 964 (YS) pigs were genotyped using the Illumina PorcineSNP60 v2 BeadChip panel. With the BLUPF90 software package, genetic parameters were estimated using a modified animal model for competitive traits. Giving a fixed weight to pedigree relationships (${\tau}:1$), several weights (${\omega}_{xx}$, 0.1 to 1.0; with a 0.1 interval) were scaled with the genomic relationship for best model fit with Akaike information criterion (AIC). Results: The genetic variances and total heritability estimates ($T^2$) were mostly higher with ssGBLUP than in the pedigree-based analysis. The model AIC value increased with any level of ${\omega}$ other than 0.6 and 0.5 in LR and YS, respectively, indicating the worse fit of those models. The theoretical accuracies of direct and social breeding value were increased by decreasing ${\omega}$ in both breeds, indicating the better accuracy of ${\omega}_{0.1}$ models. Therefore, the optimal values of ${\omega}$ to minimize AIC and to increase theoretical accuracy were 0.6 in LR and 0.5 in YS. Conclusion: In conclusion, single-step ssGBLUP model fitting SGE showed significant improvement in accuracy compared with the pedigree-based analysis method; therefore, it could be implemented in a pig population for genomic selection based on SGE, especially in South Korean populations, with appropriate further adjustment of tuning parameters for relationship matrices.

Formulations of Job Strain and Psychological Distress: A Four-year Longitudinal Study in Japan

  • Mayumi Saiki;Timothy A. Matthews;Norito Kawakami;Wendie Robbins;Jian Li
    • Safety and Health at Work
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    • v.15 no.1
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    • pp.59-65
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    • 2024
  • Background: Different job strain formulations based on the Job Demand-Control model have been developed. This study evaluated longitudinal associations between job strain and psychological distress and whether associations were influenced by six formulations of job strain, including quadrant (original and simplified), subtraction, quotient, logarithm quotient, and quartile based on quotient, in randomly selected Japanese workers. Methods: Data were from waves I and II of the Survey of Midlife in Japan (MIDJA), with a 4-year followup period. The study sample consisted of 412 participants working at baseline and had complete data on variables of interest. Associations between job strain at baseline and psychological distress at follow-up were assessed via multivariable linear regression, and results were expressed as β coefficients and 95% confidence intervals including R2 and Akaike information criterion (AIC) evaluation. Results: Crude models revealed that job strain formulations explained 6.93-10.30% of variance. The AIC ranged from 1475.87 to 1489.12. After accounting for sociodemographic and behavioral factors and psychological distress at baseline, fully-adjusted models indicated significant associations between all job strain formulations at baseline and psychological distress at follow-up: original quadrant (β: 1.16, 95% CI: 0.12, 2.21), simplified quadrant (β: 1.01, 95% CI: 0.18, 1.85), subtraction (β: 0.39, 95% CI: 0.09, 0.70), quotient (β: 0.37, 95% CI: 0.08, 0.67), logarithm quotient (β: 0.42, 95% CI: 0.12, 0.72), and quartile based on quotient (β: 1.22, 95% CI: 0.36, 2.08). Conclusion: Six job strain formulations showed robust predictive power regarding psychological distress over 4 years among Japanese workers.