• Journal of the Society of Cosmetic Scientists of Korea
• /
• v.21 no.2
• /
• pp.129-139
• /
• 1995

To confirm the usefulness of partial least-squares(PLS) and multiple scattering correction(MSC) method for quantitation of surfactants in [quantitative methods using FT-lR, reconsitituted mixtures of LAS, MES and ELA-9 were tested. Each mixture was dissolved in 50% EtOH, dried, and applied to the KBr cell. From the IR spectra of these mixture, the variance spectrum was obtained. After repeated calibrations for the various regios of this spectrum, we found that 1245-1130cm-1 and 1070-1010cm-1 showed the strong correlation with each component of the sample mixture: all the correlation coefficients were 1.000 and quantitative errors did not exceed 0.32%. From this result, we concluded that PLS method and MSC method are very useful and can be successfully applied to Quality control.

• Journal of Digital Convergence
• /
• v.20 no.1
• /
• pp.471-479
• /
• 2022

The purpose of this study is to investigate the mediating effect of task value on the relationship between grit and academic stress in nursing students. Data collection was conducted through a mobile Google questionnaire from August 31, to September 9, 2021, and the subjects were a total of 192 nursing students from three universities. The data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson's correlation coefficients, and multiple regression analysis with SPSS/WIN 20.0 program. The grit had statistically significant negative correlation with academic stress and positive correlation with task value, and task value and academic stress had positive correlation. Task value had a partial mediating effect on the between grit and academic stress. Thus intervention program that considers the task value along with the grit should be developed in order to alleviate the academic stress of nursing students.

• Korean Journal of Soil Science and Fertilizer
• /
• v.17 no.4
• /
• pp.337-342
• /
• 1984

224 profiles representing 19 soil series were subjected to multiple regresion analysis to determine the relative contribution of organic matter(OM) and clay content to total cation exchange capacity(CEC) in sandy soil. The independent variables were OM and clay, with the dependent variable CEC. Simple correlation coefficients showed high significance at CEC-OM and CEC-clay. The partial regression coefficients indicated that CEC for each gram of OM was calculated to be 0.549 and 1.351 meq of top and subsoil. The clay contributions of top and subsoil were 0.247 and 0.226 meq, respectively. The standard partial regression coefficients appeared that clay content was 1.23 times as important as orgnic matter in predicting CEC.

• Asian-Australasian Journal of Animal Sciences
• /
• v.26 no.10
• /
• pp.1388-1398
• /
• 2013

The present study investigated the contribution of carcass traits on carcass prices of Holstein steers in Korea. Phenotypic data consisted of 76,814 slaughtered Holsteins (1 to 6 yrs) from all over Korea. The means for live body weight at slaughter (BWT), chilled carcass weight (CWT), dressing percentage (DP), quantity grade index (QGI), eye muscle area (EMA), backfat thickness (BF) and marbling score (MS), carcass unit price (CUP), and carcass sell prices (CSP) were 729.0 kg, 414.2 kg, 56.79%, 64.42, $75.26cm^2$, 5.77 mm, 1.98, 8,952.80 Korean won/kg and 3,722.80 Thousand Korean won/head. Least squares means were significantly different by various age groups, season of slaughter, marbling scores and yield grades. Pearson's correlation coefficients of CUP with carcass traits ranged from 0.12 to 0.62. Besides, the relationships of carcass traits with CSP were relatively stronger than those with CUP. The multiple regression models for CUP and CSP with carcass traits accounted 39 to 63% of the total variation, respectively. Marbling score had maximum economic effects (partial coefficients) on both prices. In addition, the highest standardized partial coefficients (relative economic weights) for CUP and CSP were calculated to be on MS and CWT by 0.608 and 0.520, respectively. Path analyses showed that MS (0.376) and CWT (0.336) had maximum total effects on CUP and CSP, respectively; whereas BF contributed negatively. Further sub-group (age and season of slaughter) analyses also confirmed the overall outcomes. However, the relative economic weights and total path contributions also varied among the animal sub-groups. This study suggested the significant influences of carcass traits on carcass prices; especially MS and CWT were found to govern the carcass prices of Holstein steers in Korea.

• Clinical and Experimental Reproductive Medicine
• /
• v.50 no.3
• /
• pp.206-212
• /
• 2023

Objective: The aim of the present study was to evaluate the associations between hematologic parameters related to systemic inflammation and insulin resistance-associated metabolic parameters in women with polycystic ovary syndrome (PCOS). Methods: Eighty-two women between the ages of 18 and 35 years who were diagnosed with PCOS were included in this study. A 2-hour 75-g oral glucose tolerance test (OGTT) was administered to all study participants; fasting and postprandial glucose and insulin levels were measured simultaneously during the 2-hour OGTT. Hematologic parameters were derived from a standard complete blood count and a differential count of fasting-state blood samples. The correlations between hematologic parameters and insulin resistance-associated clinical and metabolic parameters were evaluated using the Spearman rank correlation and partial correlation coefficients. Hematologic parameters related to systemic inflammation were compared between the two groups, categorized by the presence or absence of insulin resistance. Results: Significant differences in the absolute neutrophil count, absolute monocyte count, platelet count, and neutrophil-lymphocyte ratio were found between the insulin-resistant group and insulin-nonresistant group. Correlation analysis found that all hematological parameters, except for the platelet-lymphocyte ratio, were associated with at least one insulin resistance-associated metabolic parameter. However, these significant correlations between hematological and metabolic parameters were attenuated after controlling for the effects of other covariates using partial correlation analysis. Conclusion: The association between hematologic parameters indicative of systemic inflammation and insulin resistance-associated metabolic parameters seems to be strongly influenced by other anthropometric covariates in women with PCOS.

• Korean Journal of Occupational Health Nursing
• /
• v.26 no.1
• /
• pp.40-46
• /
• 2017

Purpose: The purpose of this study was to investigate the mediating effect of resilience on the relationship between emotional labor and happiness of clinical nurses. Methods: A descriptive, cross-sectional study was conducted with 224 clinical nurses who had one or more years of clinical experiences from four general hospitals in D city in Korea. Data collected from the survey using self-reported questionnaires were analyzed by t-test, one-way ANOVA, Pearson's correlation coefficients, and multiple regression analysis using IBM SPSS statistics 21.0 program. Results: There were statistically significant correlations among variables; a negative correlation between happiness and emotional labor, a positive correlation between happiness and resilience, and a negative correlation between emotional labor and resilience. Meanwhile, resilience had a partial mediating effect on the relationship between emotional labor and happiness. That is, resilience can play an important role between emotional labor and happiness of clinical nurses as a mediator. Conclusion: Considering the findings of this study, developing programs that can improve resilience of clinical nurses who experience emotional labor are needed to increase their level of happiness.

• The Journal of Internal Korean Medicine
• /
• v.21 no.3
• /
• pp.495-504
• /
• 2000

Objective : To assess the relationship and prevalence rate among hypertension, dyslipidemia and the four commenest anthropometric measurements for obesity(body mass index(BMI), waist-hip ratio(WHR), waist circumference(WC) and body fat) in Korean adults. Methods : We studied the cross-sectional association of the anthropometric indicies and hypertension, dyslipidemia in 70 Korean adults. Hypertension was defined as blood pressure ${\ge}160/95$mmHg and classification of JNC IV, Dyslipidemia were defined as total cholesterol ${\ge}200$ mg/dl, HDL-cholesterol ${le}35$ mg/dl, LDL-cholesterol ${\ge}160$ mg/dl, triglyceride ${\ge}200$ mg/dl. Infromations on life-style factors were obtained from personal interview. Results : BMI and WHR, BMI and WC, BMI and Fat(%), WHR and WC, WC and Fat(%) had high partial correlation coefficients after age adjustment. BMI and Systolic Blood Pressure had r=0.385 coefficients, WHR and HDL-cholesterol had r=-0.360 coefficients. All four anthropomtric indicies and hypertenstion groups by JNC IV classsification had signifiant differences in women, but only fat(%) and hypertension had significant difference in men. In women, in the relationship of four anthropomtric indicies and serum lipids, total cholesterol ${\ge}200$ mg/dl group with fat(%) had a signifiant difference for normal cholesterol group, and also the group of HDL-cholesterol ${\le}$ mg/dl with WC had significance. But in men, there were no significant differences in all anthropomtric indicies and serum lipids groups. Conclusions : Korean women are more significant than Korean men in the relationship between anthropometric indicies and serum lipids, or blood pressure. But this study's samples are small, so the results are some different with results of other studies. We should study more specifically about anthropometric indicies and serum lipids, anthropometric indicies and blood pressure with many samples.

• Journal of Sericultural and Entomological Science
• /
• v.9
• /
• pp.15-19
• /
• 1969

Experiments were carried out to make clear the relationships among some morphological characters of four-varieties of mulberry trees. Simple correlation coefficients and particial correlation coefficients were calcultated among the characters, namely branch length, branch diameter, leaf number per branch, leaf area per branch, node number per branch, total branch wt. branch weight except leaves and leaf weight per branch of the mulberry trees. The results obtained are summarized as follows: 1. Variances of the characters and covariances between the each characters are shown in table 1, and simple correlation coefficients among various characters are shown in table 2. It was observed that there were close relationships between yield (leaf weight) and branch length, branch diameter, leaf number per branch, leaf are per branch, node number per branch, total branch weight and branch weight except leaves, respectively. 2. Partial correlation coefficients among some characters are shown in table 3. From this table, it was also observed that leaf yield of mulberry trees and leaf area are more closely related more than leaf yield and the other characters of mulberry trees in four different varieties. From the experimental studies, it was recognized that the four characters, namely branch length, branch diameter, leaf number and leaf area, should be very useful characters in the estimation of mulberry leaf yield as they could be measured. or counted easily before harvest of mulberry leaves, and are affected more in mulberry 1eaf yields than the other characters.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.11
• /
• pp.17-24
• /
• 2014

This paper proposes a fault detection method for low-speed rolling element bearings of an induction motor using acoustic emission signals and histogram modeling. The proposed method performs envelop modeling of the histogram of normalized fault signals. It then extracts and selects significant features of each fault using partial autocorrelation coefficients and distance evaluation technique, respectively. Finally, using the extracted features as inputs, the support vector regression (SVR) classifies bearing's inner, outer, and roller faults. To obtain optimal classification performance, we evaluate the proposed method with varying an adjustable parameter of the Gaussian radial basis function of SVR from 0.01 to 1.0 and the number of features from 2 to 150. Experimental results show that the proposed fault identification method using 0.64-0.65 of the adjustable parameter and 75 features achieves 91% in classification performance and outperforms conventional fault diagnosis methods as well.

• Korean Journal of Agricultural Science
• /
• v.45 no.4
• /
• pp.823-837
• /
• 2018

The objective of this study was to evaluate the firmness and the sweetness index (SI) of tomatoes with a hyperspectral imaging (HSI) technique within the wavelength range of 1000 - 1550 nm. The hyperspectral images of 95 tomatoes were acquired with a push-broom hyperspectral reflectance imaging system, from which the mean spectra of each tomato were extracted from the regions of interest. The reference firmness and sweetness index of the same sample was measured and calibrated with their corresponding spectral data by partial least squares (PLS) regression with different preprocessing methods. The calibration model developed by PLS regression based on the Savitzky-Golay second-derivative preprocessed spectra resulted in a better performance for both the firmness and the SI of the tomatoes compared to models developed by other preprocessing methods. The correlation coefficients ($R_{pred}$) were 0.82, and 0.74 with a standard error of prediction of 0.86 N, and 0.63, respectively. Then, the feature wavelengths were identified using a model-based variable selection method, i.e., variable importance in projection, from the PLS regression analyses. Finally, chemical images were derived by applying the respective regression coefficients on the spectral image in a pixel-wise manner. The resulting chemical images provided detailed information on the firmness and the SI of the tomatoes. The results show that the proposed HSI technique has potential for rapid and non-destructive evaluation of firmness and the sweetness index of tomatoes.