• Korean Journal of Adult Nursing
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• v.18 no.2
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• pp.251-260
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• 2006

Purpose: This study was undertaken in order to examine the factors related to sexual satisfaction in climacteric women. Method: This was a descripitive correlation study. The subjects were 544 women in climacteric stage. Data were analyzed a using of descriptive statistics, t-test, ANOVA, Pearson correlation coefficients and multiple regression with a SPSS WIN11.0. Results: The predictors of sexual satisfaction were age, education, marital status, family income, number of delivery, hormone therapy, body image, state anxiety, trait anxiety, spouse support. These factors explained 57.6% of the total variance. Conclusion: These finding suggest the need to develope nursing strategy to improve the sexual satisfaction in climacteric women. To improve the climacteric women's sexual satisfaction, the above major influencing factors should be considered.

• Asian-Australasian Journal of Animal Sciences
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• v.10 no.6
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• pp.567-570
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• 1997

A multiple trait animal model having milk yield and lactation length was used to estimate genetic parameters using data from four institutional herds and four field recording centers. Response to selection for milk yield alone and in combination with lactation length was estimated by using principles of genetic theory. Lactation records (n = 2,353) adjusted for age at calving to 60 months were utilized. Milk yield was 17% heritable with repeatability of 0.44. Lactation length had a low heritability of 0.06 with repeatability of 0.16. Genetic correlation between the two traits was 0.70. Selection response in milk yield can be improved slightly (103.8 vs 102.8 kg) when information on covariance with lactation length is used together with the information on milk yield.

• Journal of Sasang Constitutional Medicine
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• v.12 no.2
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• pp.104-122
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• 2000

This study aimed at figuring out the relations on Sasang Constitutions, and personality traits. Four hundred fourteen university students were tested by, QSCCII, NEO-Pl-R Korean version. It is analyzed by ANOVA and Duncan post hoc multiple comparisons with Spss 9.0. Following questions should be answered in this study. Are they any differences in the personality traits in accordance with Sasang Constitutions? The result of this study are follows; It is ascertained to find out personality trait by Sasang Constitutions. In other word, they have differences in personality traits(factor of N: Neuroticism, E: Extroversion, C: Conscientiousness) in accordances with Sasang constitutions by QSCCII.

• Journal of the Korean Home Economics Association
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• v.34 no.3
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• pp.137-155
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• 1996

The purpose of this study was to identify the relative influence of OCM and BSM's family functioning dimensions and develop a new family system model related to adolescent adjustment. The 443 subjects were selected randomly from the second grade of middle and high schools in the city of Taegu. The survey instruments were FACESⅢ, SFI-Ⅱ, State-Trait Anxiety Inventory, Depression Scale, Self-Esteem Scale, and Delinquency Scale, Factor Analysis, Cronbach's α, Multiple Regression, MANOVA, Scheffe test were conducted for the data analysis. The major findings of this study were as follows: First, OCM's and BSM's family functioning dimensions respectively had different relative influence that affected adolescent adjustment level. In anxiety and depression. BSM's family health/competence dimension had superior influence to any other family functioning dimensions and in self-esteem and delinquency, OCM's cohesion dimension was superior to any other family functions. Second, family system classification method by a new family system model using family cohesion(OCM's relationship dimension) and family health/competence(BSM's change dimension) was more useful than OCM in evaluating adolescent adjustment.

• Animal Bioscience
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• v.34 no.9
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• pp.1425-1438
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• 2021

Maintaining a high level of beef consumption requires paying attention not only to quantitative traits but also to the quality and dietary properties of meat. Growing consumer demands do not leave producers many options for how animals are selected for breeding and animal keeping. Meat and carcass fatness quality traits, which are influenced by multiple genes, are economically important in beef cattle breeding programs. The recent availability of genome sequencing methods and many previously identified molecular markers offer new opportunities for animal breeding, including the use of molecular information in selection programs. Many gene polymorphisms have thus far been analyzed and evaluated as potential candidates for molecular markers of meat quality traits. Knowledge of these markers can be further applied to breeding programs through marker-assisted selection. In this literature review, we discuss the most promising and well-described candidates and their associations with selected beef production traits.

• Journal of Radiopharmaceuticals and Molecular Probes
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• v.6 no.2
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• pp.116-130
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• 2020

The aging society is globally one of biggest issue because it is related with various degenerative brain disease such as dementia, Parkinson's disease, Alzheimer's disease, multiple sclerosis, and cerebrovascular disease. These diseases are characterized by misfolded-protein aggregation; another pathological trait is "neuroinflammation". In physiological state, the resting microglia cells are activated and it removes abnormal synapses and cell membrane debris to maintain the homeostasis. In pathological state, however, microglia undergo morphological change form 'resting' to 'activated amoeboid phenotype' and the microglia cells are accumulated by neuronal damage, the inflammatory reactions induced nerve metamorphosis with a variety of neurotoxic factors including cytokines, chemokines, and reactive oxygen species. Thus, the activated microglia cell with various receptors (TSPO, COX, CR, P2XR, etc.) was perceived as important biomarkers for imaging the inflammatory progression. In this review, we would like to introduce the current status of the development of radiotracers that can image activated microglia.

• Anxiety and mood
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• v.6 no.1
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• pp.17-23
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• 2010

Objective : This study compared the psychological stresses of depressed patients' families with those of schizophrenic patients' families. We investigated the influence of depressive patients' clinical features and their families' demographic characteristics on the families' depressive symptoms and stresses. Methods : Participants were 23 family members of depressed patients and 20 family members of schizophrenic patients. We measured the patients' clinical features (duration of illness, number of previous hospitalizations, and satisfaction with medication), and each family member's socioeconomic status and psychological characteristics (depressive mood, anxiety, family stress, and stress response), analyzing the data via independent t-test, chi-square test, and correlation and hierarchical multiple regression analyses. Results : The depressed patients' average clinical global impression (CGI) was significantly higher than that of the schizophrenic patients. The depressed patients' family members showed stress responses significantly higher than those of schizophrenic patients' family members. Furthermore, in depressed patients, frequency of hospitalization was positively correlated with family members' stat anxiety. For both patient types, family stress was positively correlated with the patient's severity of illness and the family's state anxiety, trait anxiety, and stress response ; socioeconomic status was positively correlated with the family's depressive symptoms ; the family's state anxiety positively correlated with the family's trait anxiety and stress response ; and the family's trait anxiety positively correlated with the family's stress response. Socioeconomic status predicted the family's depressive symptoms, and socioeconomic, illness severity and stress response predicted family stress. Conclusion : These findings suggest that both depressed patients' families and schizophrenic patients' families suffer from psychological stress. The study data also have important clinical implications, in that families of depressed patients need psychiatric intervention, as well as the patients themselves. In particular, family intervention should focus on psycho-education and stress coping strategies.

• Asian-Australasian Journal of Animal Sciences
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• v.21 no.6
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• pp.784-788
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• 2008

Studies to detect genes responsible for economic traits in farm animals have been performed using parametric linear models. A non-parametric, model-free approach using the 'expanded multifactor-dimensionality reduction (MDR) method' considering high dimensionalities of interaction effects between multiple single nucleotide polymorphisms (SNPs), was applied to identify interaction effects of SNPs responsible for carcass traits in a Hanwoo beef cattle population. Data were obtained from the Hanwoo Improvement Center, National Agricultural Cooperation Federation, Korea, and comprised 299 steers from 16 paternal half-sib proven sires that were delivered in Namwon or Daegwanryong livestock testing stations between spring of 2002 and fall of 2003. For each steer at approximately 722 days of age, the Longssimus dorsi muscle area (LMA) was measured after slaughter. Three functional SNPs (19_1, 18_4, 28_2) near the microsatellite marker ILSTS035 on BTA6, around which the QTL for meat quality were previously detected, were assessed. Application of the expanded MDR method revealed the best model with an interaction effect between the SNPs 19_1 and 28_2, while only one main effect of SNP19_1 was statistically significant for LMA (p<0.01) under a general linear mixed model. Our results suggest that the expanded MDR method better identifies interaction effects between multiple genes that are related to polygenic traits, and that the method is an alternative to the current model choices to find associations of multiple functional SNPs and/or their interaction effects with economic traits in livestock populations.

• Journal of Korean Society on Water Environment
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• v.39 no.6
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• pp.465-474
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• 2023

The chemical composition and molecular weight characteristics of dissolved organic matter (DOM) exert a profound influence on the efficiency of organic matter removal in water treatment systems, acting as efficiency predictive indicators. This research evaluated the primary chemical and molecular weight properties of DOM derived from diverse sources, including rivers, lakes, and biomasses, and assessed their relationship with the efficiency of coagulation/flocculation treatments. Dissolved organic carbon (DOC) removal efficiency through coagulation/flocculation exhibited significant correlations with DOM's hydrophobic distribution, the ratio of humic-like to protein-like fluorescence, and the molecular weight associated with humic substances (HS). These findings suggest that the DOC removal rate in coagulation/flocculation processes is enhanced by a higher presence of HS in DOM, an increased influence of externally sourced DOM, and more presence of high molecular weight compounds. The results of this study further posit that the efficacy of water treatment processes can be more accurately predicted when considering multiple DOM characteristics rather than relying on a singular trait. Based on major results from this study, a predictive model for DOC removal efficiency by coagulation/flocculation was formulated as: 24.3 - 7.83 × (fluorescence index) + 0.089 × (hydrophilic distribution) + 0.102 × (HS molecular weight). This proposed model, coupled with supplementary monitoring of influent organic matter, has the potential to enhance the design and predictive accuracy for coagulation/flocculation treatments targeting DOC removal in future applications.

• Korean Journal of Poultry Science
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• v.27 no.1
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• pp.51-61
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• 2000

This study was conducted to estimate the general production performance, heritabilities, and genetic phenotypic correlations on several economic traits by multiple trait animal model in Korean native chicken. The data were collected from the records of 5,192 pullets produced from 2,029 dams and 250 sires in Daejon Branch, National Livestock Research Institute from April 10. 1994 to February 10. 1997. Body weights of Red Brown (RB), Yellow Brown (YB), Grey Brown (GB) and Black (B) strains were 1,649.9, 1,439.6, 1,455.6 and 1,575.3g at age of 150 days and 1,923.5, 1,689.6, 1,812.4 and 1,924.0g at age of 270 days, respectively. The ranges of coefficient of variation for body weight were 11.52 to 14.02 at age of 150 days and 12.82 to 14.59% at age of 270 days, respectively. The first eggs of RB, YB, GB and B strains were produced at 147.4, 146.5, 151.1 and 152.1 days, respectively and the coefficients of variation were 7.80 to 8.41%. Egg weight at 270 days were 49.7, 47.6, 48.8 and 48.7 g for RB, YB, GB nd B strains, and coefficients of variation were 6.99 to 7.94% . The number of eggs at age of 270days were 75.8, 78.0, 76.7 and 68.8 for RB, YB, GB and B strains, respectively, and coefficient of variations were 23.87 to 29.89%. On heritability estimates in RB, YB, GB and strains body weight were 0.40, 0.10, 0.09 and 0.57 for RB, YB, GB and B strains at age of 150 days, and 0.23, 0.09, 0.38 and 0.24 at age of 270 days were 0.39, 0.47, 0.60 and 0.62, and egg weights at 270 days and age at 1st egg were 0.36, 0.12, 0.38 and 0.26, number of egg production at 270 days were 0.44, 0.36, 0.58 and 0.49, respectively. The genetic correlation coefficients of body weight with the age of first egg, egg weight and number of egg production at 270days were -0.07∼0.67, -0.24∼0.70 and 0.12∼0.41, respectively ; age of first egg with number of egg production at 270days and egg weight were -0.75∼0.91 and 0.34∼0.97 ; and egg weight with number of egg production at 270days were 0.18∼0.68. The phenotypic correlation coefficients of body weight with at age of first egg, egg weight and number of egg production at 270days were -0.01∼0.74, -0.04∼0.72 and 0.25∼0.57 ; age of first egg with number of egg production at 270days and egg weight were 0.26∼0.52 and 0.52∼0.92, respectively ; and egg weight with number of egg production at 270days were 0.34∼0.91.