• Journal of Environmental Health Sciences
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• v.35 no.3
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• pp.191-200
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• 2009

We investigated a trait of odor and the relationship between odor unit and odorous compounds using multiple regression analysis based on data compiled from Sihwa (SIC), Banwol (BIC), Banwol plating (BPIC) and Poseung industrial complex (PIC). These areas are odor control areas in Gyeonggi province. It was revealed that $NH_3$ and styrene concentrations in SIC and BPIC were relatively higher and $H_2S$ concentration especially in mc was more than five times higher than other areas. As a result of regression analysis using SAS, intensity of odor unit was highly related to concentrations of $H_2S$, TMA, styrene and n-valeraldehyde in SIC, $H_2S$, acetaldehyde, and butyraldehyde in BPIC and $NH_3$ in BIC.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.138-141
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• 2015

The South Korean construction industry has shown a high proportion of industrial accidents (approximately 28% of whole injuries) and the continuously increasing accident rate. Although many safety research emphasized that the 3E (Enforcement, Education, and Engineering) approach is a potential solution to enhance workplace safety, there should be benefits to consider psychological (i.e., Emotional) effects on the safety performance since most construction works are human-oriented. Thus, understanding construction workers' psychological conditions can be a priority. This research studied the relationships between psychological conditions-which cover stress, personal temperament, emotional disturbance, and drinking habit-and specific safety-related factors including safety motivation and knowledge, and safety performance of individual workers at a construction site. This study conducted a survey of 430 respondents and analyzed the data with the multiple linear regressions. The results imply persistence, trait anxiety, and problem-focused coping style are the critical factors that should be controlled for enhancing jobsite safety. Finally, the research outcomes could be applied to build a strategic safety management plan for a construction manager.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.30 no.2
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• pp.172-177
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• 2008

Basal cell nevus syndrome, also known as Gorlin-Goltz syndrome, is a hereditary condition transmitted as an autosomal dominant trait that exhibits high penetrance and variable expressivity. It is an ecto-mesodermal polydysplasia with numerous manifestations that affect multiple organs. Odontogenic keratocysts, palmar and plantar pits, and hypertelorism are the most frequently observed anomalies. Currently there are new lines of investigation based on biomolecular studies, which aim at identifying the molecules responsible for these cysts and thus early allowing an early diagnosis of these patients. We report two cases of multiple odontogenic keratocysts associated with basal cell nevus syndrome.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.28 no.2
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• pp.136-140
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• 2002

Basal cell nevus syndrome is inherited as an autosomal dominant trait with variable expressivity. This syndrome comprises a number of abnormalities such as multiple nevoid basal cell carcinomas of the skin, skeletal abnormalities as bifid rib and fusion of vertebrae, central nervous system abnormalities as mental retardation, eye abnormalities, and multiple odontogenic kerato cysts. In 1960, Gorlin and Goltz first described the features of this disease as constituting a true syndrome; since then, it has been realized that it is much more complex and encompassing than initially thought. This patient has many symtoms of basal cell nevus syndrome. - we has known multiple jaw cysts through panorama and facial computed tomography. He has hyperchromatism on basal cell through skin biopsy. In ophthalmologic consult, he has blindness on right. On his past medical history, amputation was done on his toes for polyductalism. - So we report with literature reviews

• Journal of Animal Science and Technology
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• v.44 no.2
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• pp.151-164
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• 2002

Genetic variance and covariance components of the linear traits and the ordered categorical traits, that are usually observed as dichotomous or polychotomous outcomes, were simultaneously estimated in a multivariate threshold animal model with concepts of arbitrary underlying liability scales with Bayesian inference via Gibbs sampling algorithms. A multivariate threshold animal model in this study can be allowed in any combination of missing traits with assuming correlation among the traits considered. Gibbs sampling algorithms as a hierarchical Bayesian inference were used to get reliable point estimates to which marginal posterior means of parameters were assumed. Main point of this study is that the underlying values for the observations on the categorical traits sampled at previous round of iteration and the observations on the continuous traits can be considered to sample the underlying values for categorical data and continuous data with missing at current cycle (see appendix). This study also showed that the underlying variables for missing categorical data should be generated with taking into account for the correlated traits to satisfy the fully conditional posterior distributions of parameters although some of papers (Wang et al., 1997; VanTassell et al., 1998) presented that only the residual effects of missing traits were generated in same situation. In present study, Gibbs samplers for making the fully Bayesian inferences for unknown parameters of interests are played rolls with methodologies to enable the any combinations of the linear and categorical traits with missing observations. Moreover, two kinds of constraints to guarantee identifiability for the arbitrary underlying variables are shown with keeping the fully conditional posterior distributions of those parameters. Numerical example for a threshold animal model included the maternal and permanent environmental effects on a multiple ordered categorical trait as calving ease, a binary trait as non-return rate, and the other normally distributed trait, birth weight, is provided with simulation study.

• The Korean Journal of Applied Statistics
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• v.21 no.1
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• pp.19-33
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• 2008

Linear regression method, proposed by Haseman and Elston(1972), for detecting linkage to a quantitative trait of sib pairs is a linkage testing method for a single locus and a single trait. However, multivariate methods for detecting linkage are needed, when information from each of several traits that are affected by the same major gene are available on each individual. Amos et al. (1990) extended the regression method of Haseman and Elston(1972) to incorporate observations of two or more traits by estimating the principal component linear function that results in the strongest correlation between the squared pair differences in the trait measurements and identity by descent at a marker locus. But, it is impossible to control the probability of type I errors with this method at present, since the exact distribution of the statistic that they use is yet unknown. In this paper, we propose a multivariate nonparametric trend test for detecting linkage to multiple traits. We compared with a simulation study the efficiencies of multivariate nonparametric trend test with those of the method developed by Amos et al. (1990) for quantitative traits data. For multivariate nonparametric trend test, the results of the simulation study reveal that the Type I error rates are close to the predetermined significance levels, and have in general high powers.

• Asian-Australasian Journal of Animal Sciences
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• v.23 no.5
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• pp.543-555
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• 2010

The objectives of this research were the estimation of genetic parameters and trends for weaning-to-first service interval (WSI), and litter traits in a commercial swine population composed of Landrace (L), Large White (T), LT, and TL animals in Chiang Mai, Northern Thailand. The dataset contained 4,399 records of WSI, number of piglets born alive (NBA), litter weight of live piglets at birth (LBW), number of piglets at weaning (NPW), and litter weight at weaning (LWW). Variance and covariance components were estimated with REML using 2-trait analyses. An animal model was used for WSI and a sire-dam model for litter traits. Fixed effects were farrowing year-season, breed group of sow, breed group of boar (litter traits), parity, heterosis (litter traits), sow age, and lactation length (NPW and LWW). Random effects were boar (litter traits), sow, permanent environment, and residual. Heritabilities for direct genetic effects were low for WSI (0.04${\pm}$0.02) and litter traits (0.05${\pm}$0.02 to 0.06${\pm}$0.02). Most heritabilities for maternal litter trait effects were 20% to 50% lower than their direct counterparts. Repeatability for WSI was similar to its heritability. Repeatabilities for litter traits ranged from 0.15${\pm}$0.02 to 0.18${\pm}$F0.02. Direct genetic, permanent environment, and phenotypic correlations between WSI and litter traits were near zero. Direct genetic correlations among litter traits ranged from 0.56${\pm}$0.20 to 0.95${\pm}$0.05, except for near zero estimates between NBA and LWW, and LBW and LWW. Maternal, permanent environment, and phenotypic correlations among litter traits had similar patterns of values to direct genetic correlations. Boar genetic trends were small and significant only for NBA (-0.015${\pm}$0.005 piglets/yr, p<0.004). Sow genetic trends were small, negative, and significant (-0.036${\pm}$0.013 d/yr, p<0.01 for WSI; -0.017${\pm}$0.005 piglets/yr, p<0.007, for NBA; -0.015${\pm}$0.005 kg/yr, p<0.01, for LBW; -0.019${\pm}$0.008 piglets/yr, p<0.02, for NPW; and -0.022${\pm}$0.006 kg/yr, p<0.003, for LWW). Permanent environmental correlations were small, negative, and significant only for WSI (-0.028${\pm}$0.011 d/yr, p<0.02). Environmental trends were positive and significant only for litter traits (p<0.01 to p<0.0003). Selection based on predicted genetic values rather than phenotypes could be advantageous in this population. A single trait analysis could be used for WSI and a multiple trait analysis could be implemented for litter traits.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.36 no.1
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• pp.7-12
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• 2014

Nevoid basal cell carcinoma syndrome (NBCCS) is inherited as an autosomal dominant trait with variable conditions, including multiple basal cell carcinoma, numerous keratocystic odontogenic tumors (KOTs) in the jaws, ectopic calcification of the falx cerebri, bifid ribs, macrocephaly, kyphoscoliosis, cleft palate, frontal and temporal bossing, mild ocular hypertelorism, mild mandibular prognathism, vertebral fusion, and so on. A 16-year-old boy visited the Dong-A University Medical Center, requiring diagnosis and treatment of multiple cystic lesions. He presented with many conditions related to NBCCS, including multiple KOTs, bifid rib, cleft lip, frontal bossing, mild ocular hypertelorism, and mild mandibular prognathism. No characteristic cutaneous manifestations (nevoid basal cell carcinoma) were observed in this patient. We report on a case of multiple KOTs associated with NBCCS with a review of the literature.

• Journal of Animal Science and Technology
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• v.50 no.5
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• pp.613-620
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• 2008

The genetic parameters used in National Hanwoo Genetic Evaluation(NHGE) were needed to be monitored and updated periodically for accounting any possible changes in population parameters due to selection and environmental changes. Genetic parameters were estimated with single and two-trait models with MTDFREML package using 2,791 carcass records of steers collected from Hanwoo Progeny Test Program(HPTP). Single and two-trait models gave similar parameter estimates for all traits. The heritability estimates from single and two-trait models for carcass weight(CW), dressing percentage(DP), eye muscle area(EMA), back fat thickness(BFT) and marbling score(MS) were 0.30, 0.30, 0.37, 0.44 and 0.44, respectively. The heritability estimates for all the traits except BFT were slightly lower than those used in NHGE but seemed to be within the acceptable ranges. However, further monitoring is needed because the data might not have fully reflected the changes such as carcass grading standards in performance testing program. In order to shift statistical model of NHGE from single trait model to multiple-trait model, the genetic correlations between carcass traits were estimated with pairwise two-trait models. The genetic correlation coefficients between CW and DP, between CW and EMA, between CW and BFT and between CW and MS were 0.44, 0.63, 0.17 and 0.06, respectively. Those between DP and EMA, between DP and BFT and between DP and MS were 0.29, 0.40 and 0.20. Those between EMA and BFT and between EMA and MS were －0.24 and 0.15, respectively. The genetic correlation coefficient between BFT and MS was 0.03.

• Korean Journal of Adult Nursing
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• v.25 no.1
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• pp.13-23
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• 2013

Purpose: The purpose of this study was to investigate the factors that influence health-related quality of life in patients with atrial fibrillation. Methods: The subjects were 150 outpatients with atrial fibrillation who visited the cardiology clinic of a university hospital in U city. The instruments used for this study were Mhel Uncertainty in Illness Scale (MUIS), Center for Epidemiologic Studies-Depression Scale (CES-D), State Trait Anxiety Inventory (STAI), and the Short-Form-36 Health Survey (SF-36) Korean version II. The date were analyzed by ANOVA, Pearson-correlation coefficient, and hierachial multiple regression using SPSS/WIN 18.0. Results: The mean score of physical health-related quality of life (PCS) was $38.92{\pm}6.22$ and mental health-related quality of life (MCS) was $41.49{\pm}5.71$. Physical and Mental health-related quality of life had the significant correlations with uncertainty, anxiety and depression. In multiple regression analysis, physical health-related quality of life was significantly influenced by duration of disease, NYHA class, uncertainty. Mental health-related quality of life was significantly influenced by family income, NYHA class, anxiety and depression. Conclusion: These results suggest that these influencing factors should be consider in developing the nursing interventions to improve the healthrelated quality of life in patients with atrial fibrillation.