• Korean Journal of Psychosomatic Medicine
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• v.28 no.2
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• pp.99-107
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• 2020

Fibromyalgia is a disorder characterized by the core symptom of chronic widespread pain, along with fatigue, sleep disturbances, mood changes, and cognitive difficulties. The etiology of fibromyalgia involves a combination of biological factors, such as genetic vulnerability, alterations in pain processing and stress response system ; psychological factors, such as anxiety, depression, anger, and perceived stress ; environmental factors, such as infections, febrile diseases, and trauma. Central sensitization, which is amplified in the process of sensory stimulation, has been emphasized as a key etiological factor, as supported by enhanced wind-up, delayed aftersensation, decreased nociceptive flexion reflex threshold and functional imaging studies. Several guidelines recommend that a multimodal approach be used to treat fibromyalgia, including both pharmacological and non-pharmacological treatments, tailored to each individual, and that clinicians should provide an intellectual framework through sufficient education and emphasis on the importance of self-management. The prevalence of mood disorders, anxiety disorders, and other psychiatric problems is 7-9 times higher in patients with fibromyalgia than in the general population ; moreover, the association between fibromyalgia and certain psychopathologies or sleep problems has also been suggested. Since psychiatric problems, with shared vulnerabilities and risk factors, interact with fibromyalgia bidirectionally and also affect the disease course, an integrated management approach is needed to determine the risk of comorbidities.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.45-55
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• 2021

This paper has proposed an algorithm that detecting for dense small vehicle in large image efficiently. It is consisted of two Ensemble Deep-Learning Network algorithms based on Coarse to Fine method. The system can detect vehicle exactly on selected sub image. In the Coarse step, it can make Voting Space using the result of various Deep-Learning Network individually. To select sub-region, it makes Voting Map by to combine each Voting Space. In the Fine step, the sub-region selected in the Coarse step is transferred to final Deep-Learning Network. The sub-region can be defined by using dynamic windows. In this paper, pre-defined mapping table has used to define dynamic windows for perspective road image. Identity judgment of vehicle moving on each sub-region is determined by closest center point of bottom of the detected vehicle's box information. And it is tracked by vehicle's box information on the continuous images. The proposed algorithm has evaluated for performance of detection and cost in real time using day and night images captured by CCTV on the road.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.4
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• pp.373-394
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• 2020

The strengthening of multilateral international sanctions against North Korea has raised questions as to how effective they are in exerting pressure on the country's economy. In this paper, we address this question by examining their impact on the country's integration into regional and global apparel production networks. North Korea has in the past decade become an increasingly competitive exporter of apparel on the basis of consignment-based processing arrangements. Official trade data shows a sharp drop in North Korean exports of clothing since the sectoral ban in 2017. There is evidence to suggest, however, that exports have continued on a more informal and clandestine basis. North Korea's integration into apparel production networks has also taken the form of the dispatch of workers to factories in China's northeastern border regions. Yet there is evidence that the recent sanctions imposed on such practices has similarly led to illicit practices such as working on visitors' visas, often with the help of Chinese enterprises and local government. The resilience of North Korea's integration into apparel production networks follows a capitalist logic and is result of the highly profitable nature of apparel production for all actors concerned and a correspondingly strong desire to evade sanctions. As such, the analysis contributes to the literature on sanctions that suggests that the measures may contribute to emergence of growing informal and illicit practices and to the role of the clandestine economy.

• Atmosphere
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• v.31 no.2
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• pp.241-249
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• 2021

A smart city utilizes data collected from various sensors through the internet of things (IoT) and improves city operations across the urban area. Recently substantial research is underway to examine all aspects of data that requires for the smart city operation. Atmospheric data are an essential component for successful smart city implementation, including Urban Air Mobility (UAM), infrastructure planning, safety and convenience, and traffic management. Unfortunately, the current level of conventional atmospheric data does not meet the needs of the new city concept. New and innovative approaches to developing high spatiotemporal resolution of observational and modeling data, resolving the complex urban structure, are expected to support the future needs. The geographic information system (GIS) integrates the atmospheric data with the urban structure and offers information system enhancement. In this study we proposed the necessity and applicability of the high resolution urban meteorological dataset based on heavy fog cases in the smart city region (e.g., Sejong and Pusan) in Korea.

• Journal of Family Relations
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• v.21 no.2
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• pp.25-51
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• 2016

Objectives: This research started with the attempt to comprehend the relationship between household types and psychological stability by linking single-person households to the emotional index "depression." Method: For this purpose, we first compare to see if there is a difference in socio-demographic variables, social relationships, the degree of depression between single households and multi-person households, and to comprehend the relative influence that household types have on depression by taking other factors under consideration. Results: Then based on the results, we compare and analyze the factors that affect the degree of depression on single-person households and multi-person households, respectively. To summarize the results, first of all, residents in single-person households are somewhat older but show lower level of income, education, and health condition compared to peers inmulti-person households. They also had a consistently high level not only in the frequency of contact and emotional connection with families, relatives, and friends, but also in the degree of depression when compared to multi-person households. Secondly, for depression, considering the various factors targeting all the households, the following had a strong influence in the order of "health condition compared to peers," "emotional connection with family," "household types," "emotional connection with colleagues," "frequency of contact with neighbors," "gender," and "age."The degree of depression increases in the following conditions: if the health condition is worse, lower emotional connection with family, single-person household, lower emotional connection with colleagues, lower the frequency of contact with neighbors, female, and older the age. Thirdly, comparing the factors that affect depression by dividing single-person households and multi-person households, "health condition compared to peers" and "emotional connection with family" had the largest effect in common, respectively. In cases of living alone, regardless of other factors, the degree of depression increases with "health condition compared to peers" and "emotional connection with family." Conclusions: On the contrary, in multi-person households, "health condition compared to peers," "emotional connection with family," "emotional connection with colleagues," "income," and "gender" are important.

• Journal of Music and Human Behavior
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• v.18 no.1
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• pp.63-77
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• 2021

Given that music is not part of the national/regular curriculum and how music therapy is a new endeavor in the United Arab Emirates (UAE), this study aimed to investigate parents' perceptions of the music therapy given to their children with disabilities in the UAE. A survey was administered to 33 parents of children with disabilities living in Sharjah, UAE. The survey consisted of 43 questions related to characteristics of the music therapy sessions that the participants' children received and the parents' satisfaction with their children's music therapy. The results showed that participants reported a high level of satisfaction with the music therapy provided to their children. In terms of their participation in music therapy sessions, 33.3% of parents co-participated in music therapy sessions with their children, and 45.5% of parents observed their children's sessions. Parents who had direct participation in music therapy sessions were significantly more satisfied with their children's music therapy (p < .05) and perceived greater positive changes in their children as a result of the therapy (p < .05). Parents perceived their children as being able to positively respond to music, leading to positive changes in behavior. Despite these benefits, participants also reported the need for formal opportunities for family members to learn about the applications and outcomes of music therapy. The findings of this study supports the implementation of music therapy throughout the UAE and point to the need for future studies as music therapy expands across the country.

• Journal of Music and Human Behavior
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• v.18 no.1
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• pp.103-122
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• 2021

The purpose of this study was to investigate music therapists' awareness of the music therapy national certification (MTNC). Online questionnaires were distributed to music therapists who voluntarily agreed to participate in this research and 143 completed surveys were collected for analysis. The questionnaire consisted of 37 questions (background information, awareness of the necessity for MTNC, expected effects of national certification, and qualification management). According to the collected data, music therapists reported that they were highly aware of the necessity for MTNC. The participants believed that excessive issueing of private licenses might deteriorate the quality of music therapy services and job opportunities. As alternatives to address private license-related issues, participants agreed with the establishment of national certification system. Given that participants did not have enough knowledge of MTNC and the MTNC may have both pros and cons, the results should be generalized with caution. Still, this study could provide basic information for further discussion on the establishment of MTNC.

• Journal of Korean Neurosurgical Society
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• v.64 no.4
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• pp.644-664
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• 2021

Objective : Since the enactment of the Special Act on Korean Medical Residents, neurosurgeons working at training hospitals have been performing the duties of residents, in addition to their existing patient care responsibilities, which include surgery, education, and research. This study explores the relationships between work intensity, work-life balance, and burnout experienced by Korean neurosurgeons. Methods : The participants (n=451) were neurosurgeons working at training hospitals throughout Republic of Korea. Data on socio-demographic characteristics (including objective and subjective work environment), work intensity, work-life balance, and burnout were gathered using self-report questionnaires completed between March 1 and December 20, 2019. The data were analyzed using descriptive statistics, independent samples t-tests, one-way analysis of variance, Pearson's correlations, and multiple regression analysis. IBM SPSS Statistics for Windows, version 25 (IBM Corp., Armonk, NY, USA) was used for the analyses. Results : The work intensity, work-life balance, and burnout levels of neurosurgeons were 3.95, 3.57 (on a scale from 1 to 5) and 4.60 (on a scale from 1 to 7); and 280 (62.1%) of 451 neurosurgeons were found to be experiencing burnout. By controlling for the socio-demographic characteristics, the effects of work intensity and work-life balance on burnout were analyzed. Work intensity (B=0.314), work-life balance-family and leisure (B=0.216), work-life balance-growth (B=0.147), job stress (B=0.133), and satisfaction with human relationships (B=-0.069) were shown to be significant (all p<0.05), and they were found to affect burnout in the abovementioned order. The overall explanatory power was 58.3% (p<0.05), and the explanatory power with the addition of independent variables such as work intensity and work-life balance was 14.5% (p<0.05). Conclusion : This study showed that Korean neurosurgeons working at training hospitals experienced a high level of work intensity and job stress, and low work-life balance. Additionally, nearly half of the neurosurgeons were found to experience burnout related to factors such as work intensity, work-life balance, job stress, and satisfaction with human relationships. In particular, these factors seem to have deteriorated further after the implementation of the Special Act on Korean Medical Residents. These very high levels of burnout among Korean neurosurgeons who care for patients with both brain and spinal diseases may have a very important impact on patients' health. Therefore, it is recommended that the Korean Neurosurgical Society and the Korean government make efforts to improve the factors that affect burnout among Korean neurosurgeons.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.119-126
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• 2021

The modern pentathlon is an exercise in which people and people compete, as well as exercise without equipment, exercise using equipment, and exercise with animals, and it is an exercise that includes static and dynamic exercise. The ethical issues of modern pentathlon athletes are also related to the poor environment and economic reasons, and the athlete's ethical awareness, attitude, and spirit have a great influence on the athlete's mental environment. In this study, the direction of improvement of ethical problems, which are different as important issues in modern sports, was examined, and qualitative research methods were applied to explore the sports spirit and ethics of the modern pentathlon. Correct sports should not deviate from the intended purpose of the exercise or cause or force the athlete to suffer physical or mental pain. In sports, compensatoryism can be a direct cause of improved performance or record-breaking, but sometimes it can also cause distorted athletes. Air doping has ethical issues that can cause controversy over the health or fairness of athletes, mental and physical damage to athletes, and harm. Responsibilities and ethical issues of athletes who take prohibited substances or leaders or supervisors who neglect or encourage them should be treated as very important matters. In the sports field, the reward system that is subordinate to the athlete's or leader's performance is related to the athlete's or leader's livelihood. For a fair and just game progression, it is necessary to break away from the development of athletes who are only focused on performance. The problem of Unethical issues must be overcome by emphasizing the restoration of ethics that are reasonably recognized in ideology and logic.

• Journal of Internet Computing and Services
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• v.21 no.6
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• pp.95-104
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• 2020

In this paper, we propose the real time indoor air quality monitoring and controlling platform on cloud using IoT sensor data such as PM10, PM2.5, CO2, VOCs, temperature, and humidity which has direct or indirect impact to indoor air quality. The system is connected to air ventilator to manage and optimize the indoor air quality. The proposed system has three main parts; First, IoT data collection service to measure, and collect indoor air quality in real time from IoT sensor network, Second, Big data processing pipeline to process and store the collected data on cloud platform and Finally, Big data analysis and visualization service to give real time insight of indoor air quality on mobile and web application. For the implication of the proposed system, IoT sensor kits are installed on three different public day care center where the indoor pollution can cause serious impact to the health and education of growing kids. Analyzed results are visualized on mobile and web application. The impact of ventilation system to indoor air quality is tested statistically and the result shows the proper optimization of indoor air quality.