• Journal of Korean Dental Science
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• v.16 no.2
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• pp.128-148
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• 2023

Dementia is an umbrella term that describes the loss of thinking, memory, attention, logical reasoning, and other mental abilities to the extent that it interferes with the activities of daily living. More than 50 million individuals worldwide live with dementia, which is expected to increase to 131 million by 2050. Recent research has shown that poor oral health increases the risk of dementia, while oral health declines with cognitive decline. In this narrative review, the literature was based on the "hypothesis" that dementia and oral health have a close relationship, and appropriate oral health and occlusal rehabilitation treatment can improve the quality of life of patients with dementia and prevent progression. We conducted a literature search in PubMed and Google Scholar databases, using the search terms "dementia," "major neurocognitive disorder," "dentition," "occlusion," "tooth loss," "dental prosthesis," "dental implant," and "occlusal rehabilitation" in the title field over the past 30 years. A total of 131 studies that scientifically addressed dementia, oral health, and/or oral rehabilitation were included. In a meta-analysis, the random effect model demonstrated significant tooth loss increasing the dementia risk 3.64-fold (pooled odds ratio=3.64, 95% confidence interval [2.50~5.32], P-value=0.0348). Tooth loss can be an important indicator of cognitive function decline. As the number of missing teeth increases, the risk of dementia increases. Loss of teeth can lead to a decrease in the ascending information to the brain and reduced masticatory ability, cerebral blood flow, and psychological atrophy. Oral microbiome dysbiosis and migration of key bacterial species to the brain can also cause dementia. Additionally, inflammation in the oral cavity affects the inflammatory response of the brain and the complete body. Conversely, proper oral hygiene management, the placement of dental implants or prostheses to replace lost teeth, and the restoration of masticatory function can inhibit symptom progression in patients with dementia. Therefore, improving oral health can prevent dementia progression and improve the quality of life of patients.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.6
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• pp.91-98
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• 2023

The amount of power generation of a solar plant has a high correlation with weather conditions, geographical conditions, and the installation conditions of solar panels. Previous studies have found the elements which impacts the amount of power generation. Some of them found the optimal conditions for solar panels to generate the maximum amount of power. Considering the realistic constraints when installing a solar power plant, it is very difficult to satisfy the conditions for the maximum power generation. Therefore, it is necessary to know how sensitive the solar power generation amount is to factors affecting the power generation amount, so that plant owners can predict the amount of solar power generation when examining the installation of a solar power plant. In this study, we propose a polynomial regression analysis method to analyze the relationship between solar power plant's power generation and related factors such as weather, location, and installation conditions. Analysis data were collected from 10 solar power plants installed and operated in Daegu and Gyeongbuk. As a result of the analysis, it was found that the amount of power generation was affected by panel type, amount of insolation and shade. In addition, the power generation was affected by interaction of the installation angle and direction of the panel.

• Industry Promotion Research
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• v.8 no.4
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• pp.113-122
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• 2023

This study is a research study aimed at finding out the relationship between lifestyle and life satisfaction of single youth households and the relationship between the mediating role of interpersonal relationships and the effect of parents' social and economic status regulation in the relationship between lifestyle and life satisfaction. To this end, this study conducted a self-written survey of single-person youth households across the country through an online survey institution, regardless of gender, and used a total of 501 copies out of 520 subjects for final results analysis. The data were analyzed using the SPSS 25.0 and AMOS 25.0 programs, and the applied statistical techniques included correlation analysis, confirmatory factor analysis, structural equation model analysis, multi-group analysis, and bootstrap. As a result of the study, there was a significant positive (+) correlation between lifestyle, life satisfaction, and interpersonal relationships of single youth households, and interpersonal relationships were found to have a mediating effect in the relationship between lifestyle and life satisfaction. It was found to have a significant positive (+) effect on income and income satisfaction, but the moderating effect of education, economic activity, housing ownership type, and class consciousness was not significant. Based on the results of these studies, it was intended to provide basic data for developing various community programs and institutional arrangements for single youth households.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.239-248
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• 2023

The purpose of this study is to analyze the factors for service contracts that affect the successful bid price rate, focusing on the case of the country market. In the study, ordering organizations and bidders differentiated themselves from existing studies by analyzing service contracts that affect the successful bid price rate in a wide range of country markets. Comparative analysis of the awarding price ratio for services, this work provides a comparable result to the existing results in the previous literature. The analytical model used five independent variables such as budget, contract method, the days of the public notice, the awarding method, and the lowest awarding ratio. In the survey and analysis, big data was collected using text mining for service bids for Nara Market over the past 18 years and data was analyzed in a multi-dimensional way. The results of the analysis are as follows, (1) if budget does not determine the awarding price ratio. This is not the case in small amounts. (2) The contract method affects the awarding price ratio. (3) The days of the public notice increase, the awarding price ratio decrease. (4) the awarding method affects the awarding price ratio. (5) The lowest awarding ratio determines the awarding price ratio. Based on the results of empirical analysis, policy implications were sought.

• Korean Journal of Ecology and Environment
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• v.56 no.3
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• pp.268-279
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• 2023

Nowadays, artificial intelligence model approaches such as machine and deep learning have been widely used to predict variations of water quality in various freshwater bodies. In particular, many researchers have tried to predict the occurrence of cyanobacterial blooms in inland water, which pose a threat to human health and aquatic ecosystems. Therefore, the objective of this study were to: 1) review studies on the application of machine learning models for predicting the occurrence of cyanobacterial blooms and its metabolites and 2) prospect for future study on the prediction of cyanobacteria by machine learning models including deep learning. In this study, a systematic literature search and review were conducted using SCOPUS, which is Elsevier's abstract and citation database. The key results showed that deep learning models were usually used to predict cyanobacterial cells, while machine learning models focused on predicting cyanobacterial metabolites such as concentrations of microcystin, geosmin, and 2-methylisoborneol (2-MIB) in reservoirs. There was a distinct difference in the use of input variables to predict cyanobacterial cells and metabolites. The application of deep learning models through the construction of big data may be encouraged to build accurate models to predict cyanobacterial metabolites.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.1
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• pp.42-50
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• 2023

The development of technology has achieved digital innovation throughout the media industry, including production techniques and editing technologies, and has brought diversity in the form of consumer viewing through the OTT service and streaming era. The convergence of big data and deep learning networks automatically generated text in format such as news articles, novels, and scripts, but there were insufficient studies that reflected the author's intention and generated story with contextually smooth. In this paper, we describe the flow of pictures in the storyboard with image caption generation techniques, and the automatic generation of story-tailored scenarios through language models. Image caption using CNN and Attention Mechanism, we generate sentences describing pictures on the storyboard, and input the generated sentences into the artificial intelligence natural language processing model KoGPT-2 in order to automatically generate scenarios that meet the planning intention. Through this paper, the author's intention and story customized scenarios are created in large quantities to alleviate the pain of content creation, and artificial intelligence participates in the overall process of digital content production to activate media intelligence.

• The Journal of KAIRB
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• v.5 no.2
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• pp.51-58
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• 2023

Purpose: To validate the effectiveness of obtaining consent education on errors in the consent process and to develop the education program for researchers. Methods: From February 2019 to February 2022, a 30-minute, 1:1 face-to-face consent education developed using the ADDIE model was conducted on 78 nurses as principal investigators. An informed consent audit tool, which includes 6 items developed by Asan Medical Center Human Research Protection Center, was used to analyze errors in obtaining informed consent process. Data analysis was performed using the SPSS ver. 25.0, and the Mann-Whitney U-test and χ²-test were utilized to verify the difference in errors between the experimental and control groups. Results: The participants consisted of 42 in the experimental group and 36 in the control group, with no statistically significant difference between the 2 groups. Both 2 groups showed the highest frequency of documentation errors, followed by format errors, errors related to a suitability of investigator, participant, or participant's legally acceptable representative, witness and confidentiality issues. After education, there was a significant decrease in both format errors (p=0.002) and documentation errors (p<0.001) in the experimental group. The proportion of participants without any errors in all items was higher in the experimental group (35.7%) compared to the control group (5.6%), and this difference was statistically significant (p=0.001). Conclusion: The obtaining consent education program was found to be effective in reducing informed consent errors. This study emphasizes the importance of education, suggesting the need for its expansion and accessibility, as well as the necessity for all researchers conducting clinical studies to receive the obtaining consent education.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.127-139
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• 2023

Compensation and pay dispersion has been rigorously scrutinized to investigate their impacts on productivity and organizational performance. However, it is difficult to find a systematic study on the systematic dynamics of compensation and pay dispersion effects specifically in the context of Korean venture companies. Venture companies should manage their organizational resources efficiently to maximize their organizational performance through pay structure by efficiently managing the inherent resources. However, we acknowledge that empirical studies on how compensation and pay dispersion affect organizational productivity and performance are rare to find in the Korean context. To overcome this supplement limitation, this study hypothesized that (1) pay and members' productivity are positively related, (2) pay dispersion and organizational productivity have U shaped relationship, and (3) organizational productivity mediates the positive relationship between compensation and organizational performance. Venture companies and professional sports teams share manifold common characteristics such as size, financial circumstances, and operational objectives. We collect 9 seasons (2013~2014 - 2021~2022) of 10 teams' data of Korean Basketball League teams to test our hypotheses. Methodologically, the assessment of our analysis is rendered with PROCESS macro model 58. The statistical results showed that all hypotheses are statistically supported. This study explains how compensation and pay dispersion affect organizational productivity and performance of venture companies in Korea.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.1-15
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• 2023

Impact investment involves investing in companies that pursue both social value and financial returns. It focuses on addressing various social problems through innovative solutions while generating profits. The domestic impact investment ecosystem has experienced significant growth with the support of the government and public institutions. In 2021, it witnessed a 3.5-fold increase over three years, reaching a total of 700 billion won in operating assets. In order to foster qualitative growth alongside this quantitative expansion, it is crucial to conduct research specifically on impact investment, which sets it apart from conventional venture investment. This study aims to empirically analyze the unique factors that influence impact investment decisions. Firstly, the factors affecting investment decisions were identified through a literature analysis. Then, a consultation and Delphi survey involving 11 representatives and evaluators from impact investment companies was conducted to determine the major investment determinants. Subsequently, an AHP (Analytic Hierarchy Process) survey was carried out with 10 impact investment evaluators to ascertain the relative importance of these factors. The analysis revealed the following order of importance for the top factors: market>entrepreneur(team)>product/service>finance. Furthermore, the importance of specific factors was identified in the following order: market competition and entry barriers>new market creation>market growth and potential expansion>team expertise and capabilities. Unlike previous studies that primarily focus on general startup investment factors, this research demonstrates that impact investment places greater emphasis on market-related factors and considers the sustainability and profitability of the business model to be more important than the social impact of social ventures.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.3
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• pp.77-87
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• 2022

Previous literatures have provided growing evidence regarding the impact of leadership in enhancing follower creativity. Despite these ample evidences, a noticeable omission in this body of study is entrepreneurial leadership. The present study extends leadership·creativity research by developing a mediation-moderation model and investigating the key roles that innovation climate and psychological empowerment may play in the mechanism between entrepreneurial leadership and followers' individual creativity. Using a data of 161 SME's members, the results show that: (a) followers' psychological empowerment positively mediates the relationship between entrepreneurial leadership and individual creativity; (b) the impact of entrepreneurial leadership on followers' psychological empowerment through innovation climate is high (in other words, innovation climate positively moderates the relationship between entrepreneurial leadership and followers' psychological empowerment). This study gain more comprehensive insight of individual creativity and leader's entrepreneurial leadership, to foster more creative venture organizations. The findings of this study make several important implications to present venture·leadership·creativity knowledge. Future studies should examine a broad range of mediating or moderating processes through which context for innovation effects positively on individual creativity. Therefore, additional study is needed to test if the results of this research can be generalized across industry·firm types.