• Korean Institute of Interior Design Journal
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• v.17 no.4
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• pp.92-101
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• 2008

A new paradigm of design lays stress on the world of metaphysical concepts, and various attempts are being made to give meaning to psychological values. Hotel is a memorable place to remind of a special moment in one's life such as travel, marriage, meeting and so on. It also contains even more symbolism than other spaces as it is the place where the most primary and private act takes place apart from one's residence. As a result, it is also possible to communicate the message which a designer intends to convey through the user's recognition in the form of various symbolic expressions in space design. The designer communicates a meaning into a space through a symbolic system and creates a mutual consensus by means of the understanding structure of "designer-space-user". The user's diverse interpretations through a symbol are based on epistemology and consist of the primary, the secondary and the tertiary recognition structure system in the aspect of their contents. The primary structure depends on sensual perception, impressive idea and transcendental recognition based on metaphysical and perceptional association. The secondary structure includes casualty, continuous deduction and rational(integral) recognition. Finally, the tertiary structure is sublimation to the transcendental mental world beyond the boundary of emotion and it is classified into fundamental recognition structure on an object and archetypical recognition structure on an ego. These characteristics can derive systematic understandings and diverse interpretations on the symbol from the space of a hotel through the frame of analysis based on the artistic form of monosemous, polysemous and multidimensional frameworks and symbols. The framework of this analysis includes all the cases, and various methods which haven't been attempted in practice are presented. Therefore this study is not just a simple analysis of space but rather it will serve as a methodological tool for design that allows for various attempts of symbolic design concepts in the recognition structure system.

• Journal of Korean Clinical Nursing Research
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• v.24 no.2
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• pp.255-262
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• 2018

Purpose: This study aimed to identify the view of life and death among ICU nurses and to analyze the problems related to end-of-life care in the current ICUs. Methods: A descriptive study design was used. The participants were 975 nurses working in the intensive care units of 16 general hospitals. Using a descriptive survey design, data were collected from August to December in 2016 and were analyzed using descriptive statistics, t-test, ANOVA, correlation analysis, and multiple regression analysis. Results: As a result of a correlation analysis of the data, Death perception had a significant positive correlation with EOL of nursing attitudes(r=.100, p=.002), and negative correlation with EOL stress care(r=-.221, p=<.001). The regression model explained for individual characteristics in the model, age(${\beta}=.126$, p<.001) and death perception(${\beta}=.182$, p<.001), Satisfaction of the EOL care(${\beta}=.173$, p<.001), Healing training needs on the EOL(${\beta}=-.144$, p<.001) were the most influential factors for EOL stress. Conclusion: Results reveal that ICU nurses have a moderate level of EOL stress, and that individual, age, death perception, Satisfaction of the EOL care, Healing traning needs on the EOL relevant in ICU nurses' EOL stress. Programs or interventions to reduce EOL stress and to should be developed taking into account these multidimensional factors.

• Journal of the Korean Society of Child Welfare
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• no.55
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• pp.143-171
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• 2016

This study investigated the effects of individual characteristics, school factors, and community factors on adolescent school violence behaviors. Data from a total of 1,777 middle school students from 50 schools in the Seoul and Gyeonggi regions were used for analysis. A hierarchical generalized linear modeling was employed to conduct a two-level analysis. Results showed that adolescents' individual factors, including attitudes toward violence, parental attachment, child abuse experiences, and affiliation with delinquent peers, as well as school factors including teacher's abusive classroom discipline, affected adolescent school violence behaviors. In addition, neighborhood disorder was found to be significantly positively correlated with adolescents' school violence. The results of this study suggest that for an understanding of school violence and to prepare countermeasures accordingly, integrated consideration of various environmental contexts in adolescents' daily lives, such as family, school, and community environments, is necessary. A multidimensional, integrated intervention plan to effectively resolve school violence based on these research results is discussed.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.85-91
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• 2019

Present study notes that youth poverty is not only an income deficit, but also a deficit in various dimensions of life such as housing, work and health deficit. Multidimensional poverty is measured by four dimensions: income, work, housing and health. The sample is a 2630 one-person household female youth pooled from the Korea Welfare Panel 10-Year Data. The analysis tool used SPSS statistical program, and the analysis framework was the deficiency rate by dimension, the correlation analysis between deficiency dimension, and the overlapping rate of N dimension poverty. As a result, women's youth in Korea had higher deficit rate in terms of work and housing than other dimensions, and the proportion of women youth who were both poor in work and housing at the same time was also relatively higher than in other cases. Based on these results, this study proposes the construction of customized job services, job matching with small and medium-sized enterprises and allocation of one young woman's household among the targets of long-term chartered housing. Female youth's sharing-economy association should be considered as alternatives.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.10
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• pp.1491-1500
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• 2019

Objective: European pigs have been imported to improve the economically important traits of Thai pigs by crossbreeding and was finally completely replaced. Currently Thai indigenous pigs are particularly kept in a small population. Therefore, indigenous pigs risk losing their genetic diversity and identity. Thus, this study was conducted to perform large-scale genetic diversity and phylogenetic analyses on the many pig breeds available in Thailand. Methods: Genetic diversity and phylogenetics analyses of 222 pigs belonging to Thai native pigs (TNP), Thai wild boars (TWB), European commercial pigs, commercial crossbred pigs, and Chinese indigenous pigs were investigated by genotyping using 26 microsatellite markers. Results: The results showed that Thai pig populations had a high genetic diversity with mean total and effective ($N_e$) number of alleles of 14.59 and 3.71, respectively, and expected heterozygosity ($H_e$) across loci (0.710). The polymorphic information content per locus ranged between 0.651 and 0.914 leading to an average value above all loci of 0.789, and private alleles were found in six populations. The higher $H_e$ compared to observed heterozygosity ($H_o$) in TNP, TWB, and the commercial pigs indicated some inbreeding within a population. The Nei's genetic distance, mean $F_{ST}$ estimates, neighbour-joining tree of populations and individual, as well as multidimensional analysis indicated close genetic relationship between Thai indigenous pigs and some Chinese pigs, and they are distinctly different from European pigs. Conclusion: Our study reveals a close genetic relationship between TNP and Chinese pigs. The genetic introgression from European breeds is found in some TNP populations, and signs of genetic erosion are shown. Private alleles found in this study should be taken into consideration for the breeding program. The genetic information from this study will be a benefit for both conservation and utilization of Thai pig genetic resources.

• Journal of Dental Anesthesia and Pain Medicine
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• v.21 no.3
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• pp.237-244
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• 2021

Background: This study aimed to analyze Twitter users' emotional tendencies regarding oral surgery procedures before and after the coronavirus disease 2019 (COVID-19) pandemic worldwide. Methods: Tweets posted in English before and after the COVID-19 pandemic were included in the study. Popular tweets in 2019 were searched using the keywords "tooth removal", "tooth extraction", "dental pain", "wisdom tooth", "wisdom teeth", "oral surgery", "oral surgeon", and "OMFS". In 2020, another search was conducted by adding the words "COVID" and "corona" to the abovementioned keywords. Emotions underlying the tweets were analyzed using CrystalFeel - Multidimensional Emotion Analysis. In this analysis, we focused on four emotions: fear, anger, sadness, and joy. Results: A total of 1240 tweets, which were posted before and after the COVID-19 pandemic, were analyzed. There was a statistically significant difference between the emotions' distribution before and after the pandemic (p < 0.001). While the sense of joy decreased after the pandemic, anger and fear increased. There was a statistically significant difference between the emotional valence distributions before and after the pandemic (p < 0.001). While a negative emotion intensity was noted in 52.9% of the messages before the pandemic, it was observed in 74.3% of the messages after the pandemic. A positive emotional intensity was observed in 29.8% of the messages before the pandemic, but was seen in 10.7% of the messages after the pandemic. Conclusion: Infectious diseases, such as COVID-19, may lead to mental, emotional, and behavioral changes in people. Unpredictability, uncertainty, disease severity, misinformation, and social isolation may further increase dental anxiety and fear among people.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.56 no.1
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• pp.54-65
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• 2023

Effect of environmental factors on the seasonal variations of zooplankton communities was investigated in the semi-closed Yeoja Bay, Korea from February, April to August, and November 2021. Out of a total 49 species of zooplankton were collected with a predominant of neritic copepods (mainly Paracalanus orientalis, Acartia omorii, Acartia ohtsukai, Centropages abdominalis, Ditrichocorycaeus affinis, and Oithona sp.), accounting for 58.9% of the total abundance of zooplankton. The diversity indices indicated a relatively highest in July, suggesting that diversity is influenced by seasonal temperature, N. scintillans, and neritic copepods species. A cluster analysis with non-metric multidimensional scaling revealed four groups of zooplankton communities. The February sample clustered into Group A, having the lowest mean total abundance and species diversity of zooplankton, consisting mainly of N. scintillans located the whole region. Cluster Group B from the spring season (April to May) and contained the species diversity with some neritic copepods. Cluster Group C from the summer season (June to August) mainly comprised P. orientalis, A. ohtsukai, Oithona sp., and hydromedusae. Cluster Group D from the autumn season (November) mainly comprised P. orientalis, Temora discaudata. Redundancy analysis indicated that abundance is positively correlated with temperature, salinity, and pico chlorophyll-a concentrations. This study showed that planktonic larvae (such as branchyura larvae) and some copepods (including A. omorii, A. ohtsukai, C. sinicus, and C. abdominalis) were significantly vulnerable to zooplankton community of temperature, salinity, and pico chlorophyll-a concentrations.

• Journal of Korean Society on Water Environment
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• v.39 no.2
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• pp.181-193
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• 2023

Distribution changes in microalgae communities were studied in the Nakdonggang River at two sampling stations (St.1 Gyeongcheongyo Bridge (GB) and St.2 Daedong Wharf (DW)) at monthly intervals from January 2021 to November 2021. A total of 83 taxa included 82 species, 1 forma, belonging to 49 genera, 32 families, 21 orders, and 8 classes. The most important groups were Bacillariophyta and Chlorophyta. The number of species ranged from 5 to 24 in GB, and from 9 to 21 taxa in DW. The contribution of Bacillariophyta to the total species richness was the highest during all survey periods, and Chlorophyta yielded the next highest value in the study area. The dominant taxa were Aulacoseira ambigua, A. ambigua f. japonica, and Ulnaria acus in this study. Cluster analysis and non-metric multidimensional scaling (nMDS) analysis based on Bray- Curtis similarity identified 4 major groups, which corresponded to microalgae assemblages and their characteristic species. Correlation was analyzed through the CCA analysis. It was found that there was a correlation between the microalgae and environmental factors. It was revealed that the divided groups were distinguished because of the differences by the survey period. Therefore, seasonal change was judged as a major factor affecting the distribution of microalgae communities.

• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.1
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• pp.27-40
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• 2023

Purpose: The study aimed to examine the concept and attributes of the quality of clinical nursing education for new graduate nurses. Methods: This study adopted a hybrid model introduced by Schwartz-Barcott and Kim. In the theoretical stage, the meaning and attributes of the quality of clinical nursing education for new graduate nurses were determined by analyzing eight articles. In the fieldwork stage, data were collected using semi-structured interviews with five new graduate nurses and seven experienced nurses. The data were analyzed by qualitative content analysis methods developed by Elo and Kyngӓs. In the final analysis, a final result was arrived at comparing, contrasting, and integrating the attributes of the concepts derived in the theoretical and field-work stages. Results: The quality of clinical nursing education for new graduate nurses was identified as excellence or the standard of education for new graduate nurses that would support them in adapting to clinical settings and transitioning to professional nurses. The attributes of the quality of clinical nursing education were founded to possess three dimensions, six categories, and 18 attributes. The multidimensional attributes of the quality of clinical nursing education for new graduate nurses were confirmed as education resources, design, method, content, evaluation, interaction, and outcome under the three dimensions of input, process, and output. Conclusion: The concept and nature of the quality of clinical nursing education observed in this study can be utilized as a basis for the future development, evaluation, and improvement of clinical nursing education for new graduate nurses in healthcare organizations.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.67-80
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• 2023

Rice is an important food crop for most of the population in Nowadays, psychologists consider social media an important tool to examine mental disorders. Among these disorders, depression is one of the most common yet least cured disease Since abundant of writers having extensive followers express their feelings on social media and depression is significantly increasing, thus, exploring the literary text shared on social media may provide multidimensional features of depressive behaviors: (1) Background: Several studies observed that depressive data contains certain language styles and self-expressing pronouns, but current study provides the evidence that posts appearing with self-expressing pronouns and depressive language styles contain high emotional temperatures. Therefore, the main objective of this study is to examine the literary cyber writers' posts for discovering the symptomatic signs of depression. For this purpose, our research emphases on extracting the data from writers' public social media pages, blogs, and communities; (3) Results: To examine the emotional temperatures and sentences usage between depressive and not depressive groups, we employed the SentiStrength algorithm as a psycholinguistic method, TF-IDF and N-Gram for ranked phrases extraction, and Latent Dirichlet Allocation for topic modelling of the extracted phrases. The results unearth the strong connection between depression and negative emotional temperatures in writer's posts. Moreover, we used Naïve Bayes, Support Vector Machines, Random Forest, and Decision Tree algorithms to validate the classification of depressive and not depressive in terms of sentences, phrases and topics. The results reveal that comparing with others, Support Vectors Machines algorithm validates the classification while attaining highest 79% f-score; (4) Conclusions: Experimental results show that the proposed system outperformed for detection of depression trends in literary cyber writers using sentiment analysis.