• The Journal of Korean Academy of Sensory Integration
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• v.21 no.1
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• pp.59-73
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• 2023

Objective : To examine changes in participation patterns of children with Autism Spectrum Disorder (ASD) in play activities during COVID-19 by reviewing relevant literature. Methods : This scoping review was conducted via five steps. we created a research question and searched for relevant literature published in English through CINAHL, PubMed, ERIC, MEDLINE, Google Scholar and Google search engine. After selecting the literature based on inclusion criteria, data were charted based on 10 items (i.e., author name, journal name, publication year, nation, authors' majors, research method, participant' age and gender as well as quantitative and qualitative results of study). The results were analyzed using descriptive numerical and thematic analyses. Results : After reviewing 437 articles and 152 websites, six articles were included. Theses articles were conducted by experts from various fields and countries. Five themes were highlighted in selected articles: COVID-19 resulted in (1) decreased time of outdoor play, (2) increased play time on screen, (3) increased time spent with family, (4) increased sensory difficulties, and (5) recommendations for services for children with disabilities and during COVID-19. Conclusion : This study suggests telerehabilitation programs about parental behavior strategies in order to solve difficulties in which children with ASD may experience when participating in play activities during disasters. Study results can be used as fundamental evidence to emphasize importance of play activities and to systematize role of occupational therapists and service guidelines for supporting play activities of children with disabilities in disasters.

• Journal of Hospice and Palliative Care
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• v.1 no.1
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• pp.56-64
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• 1998

Purpose : Seoul National University Hospital developed a group counseling program for the terminal cancer patients and their family members. This program consists of each of doctor, nutritionist, nurse, pharmacist, and social worker to provide them with the information and to enhance their ability to cope with terminal cancer. This research aims to introduce this new program per se, and to appreciate its validity and applicability to the terminal cancer patients and their family members by analyzing the concerns and specific questions of the participants. Methods : The methodological approach employed in this research is 1996 content analysis of the group counseling reports, and interview of the 312 participants. The analysis includes the general characteristics of the subjects, family relationship to the patients, times of attendance to the group session, source of information to the program. Results : The participants consist of 261 family members(84%) and 51 patients(16%). Majority responded to the program with a single-attendance. Diagnosis are mainly lung cancer, stomach cancer, liver cancer. The ratio of participants by family members is decreased in the order of spouse, children, daughter-in-law, brothers and sisters, and parents. The source of information to the program is largely through medical staff(69%) as compared with posters in the hospital (26%). The participants are interested primarily in the medical information. Their interests are various, such as pain control, patient care, nutrition, psychosocial problem and etc. Conclusion : This program is characterized largely as a family-supporting program which primarily offers information for terminal cancer. This program is a sort of a hospice program, which maximizes the present quality of living of the terminal cancer patients as long as life continues by encouraging them to live with terminal cancer. Thus, this group program can be employed as an active support network for the patients and their family. In order to develop comprehensive care-giving services, it is required to have 24-hour telephone service, hospice facilities, home care service, and communication between the referral hospitals and the primary care physicians, in particular. Such a development of services is the ultimate goal for improving care. But the immediate goal of the program is to make possible better education for the patients and their family to live with terminal cancer.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.610-617
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• 2019

The urban-rural complex area in Korea has a distinctive spatial structure where the urban area and rural area coexist. Therefore, in order to cope with the over-depopulation in the rural region of the urban-rural complex area, it is necessary to explore various policies that can prevent the existing residents from leaving, and in fact support them to remain where they currently reside. In this context, this current study analyzed the factors affecting the existing residents' continuous intention to remain by employing the '2017 Chuncheon City Social Survey' as a countermeasure for the over-depopulation of the rural region in the urban-rural complex area. Especially, since a regional identity is determined endogenously, this study used a simultaneous bivariate ordered probit model with giving consideration to the endogenous relationship between a regional identity and a regional residents' intentions. As a result, it was found on analysis that the regional residential intention was higher as the regional identity was stronger. Furthermore, the regional identity was stronger as a householders' age and residence period were longer, and also as the residents were satisfied with their work leisure and life residence balance. It was also found that the residents' intention was higher as the residents' satisfaction with the local medical service and their work was increased. Thus, supporting policy is needed that can provide appropriate quality-of-life services in a timely manner, but only after identifying the demand for these services by the rural residents in the urban-rural complex area.

• Journal of Environmental Health Sciences
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• v.47 no.3
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• pp.193-204
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• 2021

Objectives: In January 2021, the former heads of the manufacturer SK Chemical and the vendor Aekyung were acquitted for manufacturing and selling humidifier disinfectant (HD) containing 5-chloro-2-methylisothiazol-3(2H)-one/2-methylisothiazol-3(2H)-one (CMIT/MIT). In this article, we analyzed the rationale used in this judgement in the light of scientific consideration. Methods: The sentencing document for the judgements was obtained from the Korea Supreme Court Service. In particular, the judgements made by the court related to the toxicological and individual association with HD perspectives were discussed based on scientific evidence. Results: The ruling stated that the necessary conditions for causality between CMIT/MIT and such diseases were not met based on the fact that asthma and lung damage were not found in the inhalation exposure animal experiments. The judgment overlooked the inevitable limitations of using animal experiments for verifying health effects in humans, which are often inconsistent with the observations in animals. Among 11 governmentaffirmed lung injury cases with CMIT/MIT usage, three patients' humidifier disinfectant-associated lung injury (HDLI) pathology proved that CMIT/MIT could cause lung injury similar to that caused by PHMG and PGH. In addition, five children showed decreased lung function related to damage caused by humidifier disinfectant exposure. Conclusions: We conclude that there is sufficient evidence supporting the assertion that HDs containing CMIT/MIT cause lung injuries, including asthma, contrary to the court's decision.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.1-19
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• 2019

Artificial intelligence (AI) is one of the main driving forces leading the Fourth Industrial Revolution. The technologies associated with AI have already shown superior abilities that are equal to or better than people in many fields including image and speech recognition. Particularly, many efforts have been actively given to identify the current technology trends and analyze development directions of it, because AI technologies can be utilized in a wide range of fields including medical, financial, manufacturing, service, and education fields. Major platforms that can develop complex AI algorithms for learning, reasoning, and recognition have been open to the public as open source projects. As a result, technologies and services that utilize them have increased rapidly. It has been confirmed as one of the major reasons for the fast development of AI technologies. Additionally, the spread of the technology is greatly in debt to open source software, developed by major global companies, supporting natural language recognition, speech recognition, and image recognition. Therefore, this study aimed to identify the practical trend of AI technology development by analyzing OSS projects associated with AI, which have been developed by the online collaboration of many parties. This study searched and collected a list of major projects related to AI, which were generated from 2000 to July 2018 on Github. This study confirmed the development trends of major technologies in detail by applying text mining technique targeting topic information, which indicates the characteristics of the collected projects and technical fields. The results of the analysis showed that the number of software development projects by year was less than 100 projects per year until 2013. However, it increased to 229 projects in 2014 and 597 projects in 2015. Particularly, the number of open source projects related to AI increased rapidly in 2016 (2,559 OSS projects). It was confirmed that the number of projects initiated in 2017 was 14,213, which is almost four-folds of the number of total projects generated from 2009 to 2016 (3,555 projects). The number of projects initiated from Jan to Jul 2018 was 8,737. The development trend of AI-related technologies was evaluated by dividing the study period into three phases. The appearance frequency of topics indicate the technology trends of AI-related OSS projects. The results showed that the natural language processing technology has continued to be at the top in all years. It implied that OSS had been developed continuously. Until 2015, Python, C ++, and Java, programming languages, were listed as the top ten frequently appeared topics. However, after 2016, programming languages other than Python disappeared from the top ten topics. Instead of them, platforms supporting the development of AI algorithms, such as TensorFlow and Keras, are showing high appearance frequency. Additionally, reinforcement learning algorithms and convolutional neural networks, which have been used in various fields, were frequently appeared topics. The results of topic network analysis showed that the most important topics of degree centrality were similar to those of appearance frequency. The main difference was that visualization and medical imaging topics were found at the top of the list, although they were not in the top of the list from 2009 to 2012. The results indicated that OSS was developed in the medical field in order to utilize the AI technology. Moreover, although the computer vision was in the top 10 of the appearance frequency list from 2013 to 2015, they were not in the top 10 of the degree centrality. The topics at the top of the degree centrality list were similar to those at the top of the appearance frequency list. It was found that the ranks of the composite neural network and reinforcement learning were changed slightly. The trend of technology development was examined using the appearance frequency of topics and degree centrality. The results showed that machine learning revealed the highest frequency and the highest degree centrality in all years. Moreover, it is noteworthy that, although the deep learning topic showed a low frequency and a low degree centrality between 2009 and 2012, their ranks abruptly increased between 2013 and 2015. It was confirmed that in recent years both technologies had high appearance frequency and degree centrality. TensorFlow first appeared during the phase of 2013-2015, and the appearance frequency and degree centrality of it soared between 2016 and 2018 to be at the top of the lists after deep learning, python. Computer vision and reinforcement learning did not show an abrupt increase or decrease, and they had relatively low appearance frequency and degree centrality compared with the above-mentioned topics. Based on these analysis results, it is possible to identify the fields in which AI technologies are actively developed. The results of this study can be used as a baseline dataset for more empirical analysis on future technology trends that can be converged.

• Korean Journal of Childcare and Education
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• v.10 no.3
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• pp.5-29
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• 2014

The purpose of this study was to find out various problem behaviors of children who were not diagnosed with any disability, but instead, engaged in problem behaviors. This study also intended to review the difficulties of children with problem behaviors, their teachers' difficulties and needs, to suggest support for child care and education teachers. This study conducted semi-structured qualitative interviews with eight child care and education teachers. The interviews were transcribed into text and analyzed by contents. The results of this study are as follows. Problem behaviors of children described by teachers were classified into external and internal types. In addition, children with problem behaviors had experienced difficulties in maintaining relationships with their teachers, peers and parents. Many teachers were not successful to provide appropriate support for preschoolers who demonstrated problem behaviors in classrooms or some teachers provided individualized support. Teachers adapted the behavioral and the psychological approaches to problem behaviors of preschoolers. However, teachers reported difficulties with children with problem behavior and brought up the following issues on teaching children with problem behaviors; managing troubled matters happening in the class, difficulty in controlling teacher's emotions on problem behaviors, the lack of time, the integrated child care time without teacher in charge of child, the interruption in activity progress, the lack of a special way to deal with problem behaviors, and difficulty in cooperation with families through parents-teacher counseling sessions. Teachers counseled with parents who had a child with problem behaviors and revealed that parents reacted to problem behaviors in various ways such as embarrassment, acceptance, ignorance, or avoidance. Most teachers received assistance and support for teaching children with problem behaviors, from families, local communities and in-service training. Lastly, teachers with preschoolers with problem behaviors needed the support of experts on managing behavior problems, assistant teaching personnel, education for parents and teachers, respects for teachers, psychological counseling or play therapy from professional service agencies, diagnosis service at child care and education centers which children attended, and support networking with agencies. Teachers also required the family support of medical diagnosis and psychological counseling and financial support from the government.