• Journal of the Korean Institute of Educational Facilities
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• v.12 no.3
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• pp.5-12
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• 2005

The purpose of this study is to understand and analyze characteristics of using pattern on the physical facilities and fundamental demands about improving factors associated with management of variation type. The teachers of four middle schools are participated through questionnaires with this survey. According to the results, supplemental factors of learning activities, convenient facilities for students, factors with space utilization, moving class and arrangement of similar subject blocks are influential in order on the awareness of teachers for correspondence of variation type. In the analysis of variance based on the sampling factors, significant differences were shown in the factors of attached group, gender, age and managemental experience of variation type. Especially, the factors with moving class and convenient facilities for students are analytically more differential than the other factors, therefore, these factors must be considered in detail.

• Phonetics and Speech Sciences
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• v.9 no.1
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• pp.9-17
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• 2017

The current study examined speech rate and its variance in spontaneous Seoul Korean speech. The current study focused on factors affecting the variance of speech rate such as utterance length, individual speakers, and gender. The results revealed that, first, utterance length has a significant influence on speech rate. Longer utterances were spoken at a faster rate. Second, regarding the effect of utterance length, individual speakers differed significantly in their speaking rate. The variation between speakers and within speakers tended to increase as utterance length increases. Third, there were speakers' gender differences, indicating that males produced considerably faster speaking rate than females. Additionally, the current study implied that non-linguistic factors in spontaneous speech can affect the variance of speakers' speaking rate.

• Journal of the Korean Home Economics Association
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• v.42 no.10 s.200
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• pp.105-113
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• 2004

This research was designed to investigate the preferred textiles for the jackets of college students. 105 subjects that majored in fashion design were surveyed. The subjects selected three favorite materials, according to the seasons, among 120 samples presented in a swatch book and their frequency of choice was tallied. The extent of the subjects' preference was compared by season and gender The results of this study were as follows: 1. College students preferred dark Grayish Brown plain variation wool Crossbred foremost as a textile for the spring and fan season. 2. White plain cotton Plisse was the most preferred material for summer. 3. Olive Gray cotton Corduroy was the most preferred textile for winter. 4. For thickness and weight, the textiles chosen for winter were thicker and heavier than those chosen for other seasons. 5. For fiber content, natural fiber such as wool were preferred for all seasons. 6. For the type of fabrics weave, a plain variation weave was preferred for spring and fall, twill was preferred for winter and plain weave was preferred for summer. 7. Collage students preferred gray and brown tones for the spring, fall and winter season. For color characteristics, solid fabrics were generally preferred and check patterns were especially preferred for the winter season. 8. Girl students generally preferred lighter and thinner fabrics than those chosen by boys.

• Korean Journal of Child Studies
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• v.25 no.2
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• pp.19-39
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• 2004

Mothers of 58 20-month-olds in Seoul, the Republic of Korea, completed vocabulary checklists for their children. When vocabulary level was taken into account, children's vocabularies contained relatively greater proportions of nouns than other word classes, and more verbs than adjectives or closed-class words. Correlations among word classes showed that each word class was consistently positively correlated with every other class. Girls' vocabularies showed evidence of being larger than boys. Large individual differences in the sizes of children's vocabularies were found. Factors that influence vocabulary size and can account for gender and individual differences are discussed. Noun prevalence in the vocabularies of children learning to speak Korean, and the merits of several theories that may account for this word-class prevalence pattern, are evaluated.

• Asian-Australasian Journal of Animal Sciences
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• v.22 no.12
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• pp.1718-1734
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• 2009

The aim of this review is to address some characteristics that influence meat quality. Genetic groups, nutrition, finishing systems and gender are the major factors that change carcass characteristics, chemical composition and fatty acid profile. Genetic groups that have zebu genes in their composition show higher hot carcass dressing than genetic groups without zebu genes. Genetic groups that have European breeds in their composition have higher marbling scores. On the other hand, genetic groups that have zebu breeds show low marbling scores. Bulls finished in feedlots present higher final weight than steers, cull cows and heifers. Fat thickness is one of the principal parameters that are affected by different gender. Cull cows (4.72 mm) and heifers (4.00 mm) present higher values than bulls (1.75 mm) and steers (2.81 mm). The major effects observed by different systems of termination are fat thickness and marbling. Crude protein presents variation due to nutrition. Nutrition influences variation of fatty acid profile. Genetic groups also influence fatty acid profile. Genetic groups that have zebu genes in their composition show high percentage of PUFA. The major class of fatty acids that is changed with nutrition is PUFA. The better ratios of PUFA/SFA and n-6/n-3 are found in Longissimus muscle of animals finished in pasture systems.

• Journal of Nutrition and Health
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• v.55 no.1
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• pp.1-9
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• 2022

In the past few decades, great progress has been made on understanding the interaction between nutrition and health status. But despite this wealth of knowledge, health problems related to nutrition continue to increase. This leads us to postulate that the continuing trend may result from a lack of consideration for intra-individual biological variation on dietary responses. Precision nutrition utilizes personal information such as age, gender, lifestyle, diet intake, environmental exposure, genetic variants, microbiome, and epigenetics to provide better dietary advices and interventions. Recent technological advances in the artificial intelligence, big data analytics, cloud computing, and machine learning, have made it possible to process data on a scale and in ways that were previously impossible. A big data platform is built by collecting numerous parameters such as meal features, medical metadata, lifestyle variation, genome diversity and microbiome composition. Sophisticated techniques based on machine learning algorithm can be used to integrate and interpret multiple factors and provide dietary guidance at a personalized or stratified level. The development of a suitable machine learning algorithm would make it possible to suggest a personalized diet or functional food based on analysis of intra-individual metabolic variation. This novel precision nutrition might become one of the most exciting and promising approaches of improving health conditions, especially in the context of non-communicable disease prevention.

• Health Policy and Management
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• v.25 no.4
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• pp.285-294
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• 2015

Background: Suicide is one of important health problems in Korea. Previous studies showed factors associated with suicide in individual levels. However, suicide was influenced by society that individuals belong to, so it was required to analyze suicide in local levels. The purpose of this study was to analyze the regional disparities of suicide mortality by gender and the association between local characteristics and suicide mortality. Methods: This study included 229 city county district administrative districts in Korea. Age- and sex-standardized suicide mortality and age-standardized suicide mortality (male/female) were used as dependent variables. City county district types, socio-demographics (number of divorces per 1,000 population, number of marriages per 1,000 population, and single households), financial variable (financial independence), welfare variable (welfare budget), and health behavior/status (perceived health status scores and EuroQol-5 dimension [EQ-5D]) were used to represent the local characteristics. We used hot-spot analysis to identify the spatial patterns of suicide mortality and negative binomial regression analysis to examine factors affecting suicide mortality. Results: There were differences in distribution of suicide mortality and hot-spot regions of suicide mortality by gender. Negative binomial regression analysis provided that city county district types (city), number of divorces per 1,000 population, financial independence, and EQ-5D had significant influences on the age- and sex-standardized suicide mortality per 100,000. Factor influencing suicide mortality was the number of divorces per 1,000 population in both male and female. Conclusion: Study results provided evidences that suicide mortality among regions was differed by gender. Health policy makers will need to consider gender and local characteristics when making policies for suicides.

• The Korean Journal of Food And Nutrition
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• v.28 no.4
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• pp.612-619
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• 2015

The present study was designed to investigate health-related life habits, food preference, body composition for proper dietary habits, health promotion of communities in Incheon area. The effects of personal characteristics and health-related life habits such as gender, age, having breakfast, smoking, drinking, and exercise were analyzed using a surveying. 961 community subjects (262 males and 699 females) were investigated using a questionnaire and Inbody. Data were analyzed by descriptive statistics, chi squared test, and one-way ANOVA (analysis of variation) with SPSS/WIN 21.0. The result of gender distribution showed there were 262 males and 699 females, and with respect to the effect of gender on health-related life habits, smoking, drinking, and exercise showed significant differences (p < 0.05), whereas having breakfast was not significantly difference (p>0.05). Therefore, the present provide evidence of a relationship between health-related life habits and gender. Regarding the effect of BMI on health-related life habits, exercise showed significant differences (p < 0.05), whereas smoking, drinking, and having breakfast were not significantly difference (p>0.05). Thus, the present study also provides evidence of a relationship between health-related life habits and BMI. Our analysis shows that food preference and body composition were significant different from health-related life habits such as smoking, drinking, exercise, and having breakfast (p < 0.05). Our analysis showed that body composition was significant differences from health related habits such as smoking, drinking, exercise, and breakfast (p < 0.05). In conclusion, the present study suggests that diet guidelines support and improve health promotion designed by communities.

• Journal of Korean Neurosurgical Society
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• v.43 no.2
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• pp.79-84
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• 2008

Objective: The length of anterior-posterior commissure (AC-PC) in racial groups, age, gender of patients with deep brain stimulation (DBS) and pallidotomy were investigated. Methods: From January 1996 to December 2003, 211 patients were treated with DBS and pallidotomy. There were 160 (76%) Caucasians, 35 (17%) Hispanics, 12 (5%) Asians and 4 Blacks (2%). There were 88 males and 52 females in DBS-surgery group and 44 males, 27 females in pallidotomy group. Mean age was 58 year-old. There were 19 males and 19 females and mean age was 54.7 years in the control group. Measurements were made on MRI and @Target software. Results: The average AC-PC distance was 24.89 mm (range 32 to 19), which increased with aging until 75 years old in Caucasian and also increased with aging in Hispanic, but the AC-PC distance peaked at 45 years old in Hispanic. The order of AC-PC distance were $24.6{\pm}2$ mm in Caucasian, $24.6{\pm}2.24$ mm in Asian, 24.53 mm in Black, $23.6{\pm}1.98$ mm in Hispanic. The average AC-PC distance in all groups was 24.22 mm in female who was mean age of 56.35, 25.28 mm in male who was mean age of 60.19 and $24.5{\pm}2$ mm in control group that was excluded because of the difference of thickness of slice. According to multiple regression analysis, the AC-PC distance was significantly correlated with age, race, and gender. Conclusion: The AC-PC distance is significantly correlated with age, gender, and race. The atlas of functional stereotaxis would be depended on the Variation of indivisual brain that can influenced by aging, gender, and race.

• MALSORI
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• v.55
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• pp.61-76
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• 2005

This paper aims to analyze the acoustic effects of vowels produced in a distant-talking environment. The analysis was performed using a statistical method. The influence of gender and speakers on the variation was also examined. The speech data used in this study consist of 500 distant-talking words and 500 normal words of 10 speakers (5 males and 5 females). Acoustic features selected for the analysis were the duration, the formants (Fl and F2), the fundamental frequency and the total energy. The results showed that the duration, F0, F1 and the total energy increased in the distant-talking speech compared to normal speech; female speakers showed higher increase in all features except for the total energy and the fundamental frequency. In addition, speaker differences were observed.