• Sleep Medicine and Psychophysiology
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• v.30 no.1
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• pp.22-27
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• 2023

Objectives: The purpose of this study was to develop a screening tool that is simple and easy to use for assessing sleep problems, including hypersomnolence, restless legs syndrome, and insomnia. We also examined the reliability and validity of this tool. Methods: We developed the Sleep Problem Screening Questionnaire (SPSQ), which consists of three sub-sections: insomnia (SPSQi), hypersomnolence (SPSQh), and restless legs syndrome (SPSQr). Subsequently, the participants, consisting of 222 patients with insomnia disorder and 78 healthy individuals, completed both the SPSQ and the comparative scale (Korean version of the Insomnia Severity Index). The analysis was then conducted using this data. Results: The SPSQ demonstrated good convergent and discriminant validity, as well as satisfactory internal consistency. A cutoff score of 6 on the SPSQi was found to be optimal for distinguishing individuals with insomnia. Conclusion: The results of this study suggest that the SPSQ is a reliable and valid tool for screening sleep problems among general adult population. However, there is a limitation as a comparison and validation with scales related to restless legs syndrome and hypersomnolence were not conducted.

• Journal of agricultural medicine and community health
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• v.48 no.4
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• pp.262-274
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• 2023

Objectives: This study examined the evaluation and potential improvements of 'Integrated Healthcare and Social Welfare service model' based on the experiences of practitioners from institutions participating in the 'Dalgubeol Health Doctor Services' and the service recipients. Methods: Qualitative research was conducted from September to November 2022 in this study, focusing on 4 providers from the dedicated Dalgubeol Health Doctor Services Team, 5 contact partners from affiliated organizations, and 6 service beneficiaries. The data gathered underwent thematic analysis. Results: The evaluation indicated that Dalgubeol Health Doctor Services has proven to be effective in addressing the complex needs of vulnerable populations. By providing integrated services through quick and simple beneficiary selection and resource linkage, it has contributed to the resolution of complex demands, recovery of positive attitudes towards life, and improvement in quality of life for users who have fear the use of medical and welfare services. Dalgubeol Health Doctor Services has established an integrated health care system involving not only public but also private organizations, from the referral agency to the service provider. Centered around Daegu Medical Center and involving five tertiary hospitals, it has established a model that supports treatment appropriate to the severity of the patient, from mild to severe. Conclusions: These findings indicate an enhancement in health equity, achieved through the active identification and subsequent health and welfare issue resolution of individuals marginalized from medical benefits.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.489-498
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• 2023

Advancements in hardware performance and computing technology have facilitated the progress of climate prediction models to address climate change. The Korea Meteorological Administration employs the GloSea6 model with supercomputer technology for operational use. Various universities and research institutions utilize the Low-GloSea6 model, a low-resolution coupled model, on small to medium-scale servers for weather research. This paper presents an analysis using Intel VTune Profiler on Low-GloSea6 to facilitate smooth weather research on small to medium-scale servers. The tri_sor_dp_dp function of the atmospheric model, taking 1125.987 seconds of CPU time, is identified as a hotspot. Nonlinear regression models, a machine learning technique, are applied and compared to existing functions conducting numerical operations. The K-Nearest Neighbors regression model exhibits superior performance with MAE of 1.3637e-08 and SMAPE of 123.2707%. Additionally, the Light Gradient Boosting Machine regression model demonstrates the best performance with an RMSE of 2.8453e-08. Therefore, it is confirmed that applying a nonlinear regression model to the tri_sor_dp_dp function during the execution of Low-GloSea6 could be a viable alternative.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.6
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• pp.141-158
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• 2022

This study identifies related factors by analyzing the effects of the psychological characteristics and competency factors of traditional market merchants on business performance, and at the same time verifies the moderating effect of government support policies. The research focus was on verifying the causal relationship. This study was conducted targeting the representative traditional market merchants in the metropolitan area who have experience in traditional market specialization projects or are currently in the process of specialization projects. An empirical study was performed based on the collected data. The analysis results are as follows. First, it was found that self-esteem as a psychological characteristic factor of merchants, customer management competency as merchant competency, and informatization capability had a significant positive (+) effect on financial performance among business performance. Second, as a result of examining the moderating effect of government support policies, it was found that product capability had a significant positive (+) effect on financial performance among business performance. It was found that self-esteem and product competency had a significant positive (+) effect on the will to continue business among business performance. The practical results of this study are the research papers to measure the business performance of traditional market merchants using the government support policy as a moderating variable, using the psychological characteristics and competency factors of traditional market merchants as independent variables. For this purpose, it will be positively evaluated that the psychological characteristics of merchants and merchant competency factors affect business performance, and that meaningful research results are derived by analyzing the moderating effect of government support.

• 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.33-43
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• 2023

The paper employs a resource-based approach to analyze the relationship between institutional resources and faculty-led startup formation and performance in South Korean four-year universities from 2017 to 2021. The author proposes nine hypotheses to explain how institutional resources or systems affect the number of faculty startups, their employee numbers and the revenue of faculty-led startups, and compare four different groups of university resources for cross-college variation. The findings suggest that institutional factors impacting faculty-led startup performance differ from those impacting other categories of startups. Universities should provide a more favorable environment, including flexible personnel policies and accompanying startup support infrastructure, to encourage faculty-led startups. In contrast, it is more effective for better performance of faculty startups, in terms of their job creation and revenue, to have more financial resources and good paper publications. The results also suggest that university technology-holding companies are crucial for increasing the number of professor startups and their performance. These findings have implications for both university and government policymakers, who aim to facilitate greater participation of professors in startup formation and commercialization of technology.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.1
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• pp.213-227
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• 2022

Recently, research on social entrepreneurship, which simultaneously pursues social value creation and economic sustainability has increased rapidly. Researchers conducted several empirical studies, noting that social entrepreneurship is a major factor in improving the performance of social enterprises. However, most previous studies usually have limitations in measuring the performance of social enterprises based on the subjective perception of entrepreneurs, which implies the limitations of the common method bias. In addition, there is a lack of empirical evidence that can explain the specific process in which the personal characteristic of an entrepreneur, social entrepreneurship, affects the achievement of dual goals. Therefore, this study empirically investigates the effect of social entrepreneurship on performance increasing the objectivity of performance measurement and including blended value orientation(BVO), a characteristic of viewing social and economic performance as a single thing. The purpose of the study is to verify the effect of social entrepreneurship and BVO on the social and economic performance of social enterprises. We conducted regression analysis using the results of the perception survey of social enterprises in South Korea and objective performance data. As a result, risk-taking, a sub-factor of social entrepreneurship, had a positive effect on economic and social performance at a significant level. In addition, it was confirmed that social entrepreneurship improves BVO, and it affects social performance. Therefore, this study found that social entrepreneurship and BVO have a discriminatory effect on economic and social performance, respectively. This study is meaningful in that it attempted to overcome the common method bias as measuring subjectivity performance.

• Journal of Environmental Health Sciences
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• v.50 no.1
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• pp.16-24
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• 2024

Background: Indoor PM_2.5 concentrations in residential houses can be affected by various factors depending on the season. This is because not only do the climate characteristics depend on the season, but the activity patterns of occupants are also different. Objectives: The purpose of this study is to compare factors affecting indoor PM_2.5 concentrations in apartments and detached houses in Daegu according to seasonal changes. Methods: This study included 20 households in Daegu, South Korea. The study was conducted during the summer (from July 10 to August 10, 2023) and the autumn (from September 11 to October 9, 2023). A sensor-based instrument for PM_2.5 levels was installed in the living room of each residence, and measurements were taken continuously for 24 hours at intervals of one minute during the measurement period. Based on the air quality monitoring system data in Daegu, outdoor PM_2.5 concentrations were estimated using ordinary kriging (OK) in Python. In addition, the indoor activities of the occupants were investigated using a time-activity pattern diary. The affecting factors of indoor PM_2.5 concentration were analyzed using multiple regression analysis. Results: Indoor and outdoor PM_2.5 concentrations of the residences during summer were 15.27±11.09 ㎍/m³ and 11.52±7.56 ㎍/m³, respectively. Indoor and outdoor PM_2.5 concentrations during autumn were 13.82±9.61 ㎍/m³ and 9.57±5.50 ㎍/m³, respectively. The PM_2.5 concentrations were higher in summer compared to autumn both indoors and outdoors. The primary factor affecting indoor PM_2.5 concentration in summer was occupant activity. On the other hand, during the autumn season, the primary affecting factor was outdoor PM_2.5 concentration. Conclusions: Indoor PM_2.5 concentration in residential houses is affected by occupant activity such as the inflow of outdoor PM_2.5 concentration, cooking, and cleaning, as found in previous studies. However, it was revealed that there were differences depending on the season.

• Korean Journal of Culture and Social Issue
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• v.30 no.1
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• pp.1-33
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• 2024

This study analyzed the experiences of victims of state violence, discovered differences between state violence and general trauma, and proposed ways to help heal trauma. Participants were composed of state violence victims and their families in total, including 11 from the Jeju 43 Incident, 11 from the Yeos u·Sunchoen 10.19 Incident and 6 form May 18th Democratic Uprising. As a result of using the grounded theory to analyze data, a total of 170 concepts, 57 subcategories, and 20 categories were derived. The central phenomenon was direct damage caused by state violence. This included 'post-traumatic stress', 'social stigma', 'isolation from community', 'socio-economical issues' and 'family dissolution'. As a result of the process analysis, the participants experienced six phases: 'trauma', 'isolation', 'resistance', 'resignation', 'recovery', and 'growth.' Each phase is sequential but at the time mutually affect each other. Based on the results, this study verified the difference between state violence and general trauma, and emphasized social and cultural factors, such as community support, were important factors in healing state violence trauma. Besides, the implications and limitations as well as suggestions for future research were mentioned.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.23 no.1
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• pp.134-145
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• 2024

The purpose of this study was to propose a framework for developing test scenarios for issuance of conditional driver's licenses. The framework was composed of five stages. Initially, we reviewed the literature on traffic crash characteristics in terms of accident frequency and severity regarding the main factors of crashes caused by older drivers. In the second stage, the characteristics of crashes attributed to non-elderly, early elderly, and late elderly drivers were analyzed using data obtained from the Traffic Accident Analysis System (TAAS), and crash types for elderly drivers were derived. In the third stage, black box videos of high-risk crash types were analyzed to derive crash stories that described the circumstances in which crashes occurred. In the fourth step, crash situations were classified by rating the types of crash stories derived to develop various scenarios. Step 5 involved creating a scenario by applying the PEGASUS 5-Layer format, which has recently been used to develop test scenarios for autonomous vehicles. The results of this study are expected to be used as a basis for developing driving ability evaluation scenarios for the issuance of conditional driver's licenses.