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The Perceived Usefulness of Smartwork and Work-family Conflict (스마트워크 유용성 지각과 일-가정 갈등에 관한 연구: 경계유연추구의도의 매개효과 및 과업상호의존성과 과정통제의 조절효과 검증)

  • Won-Chul Park ;Hyun-Sun Chung ;Dong-Gun Park
    • Korean Journal of Culture and Social Issue
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    • v.19 no.2
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    • pp.109-131
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    • 2013
  • It is expected that expanded use of smartphone and enhanced information technology will enable smartwork to change individuals and organizations. Smartwork is expected to allow people to perform their roles without barriers of time and space. However, people tend not to accept and actively utilize smartwork. The present study is to examine how important flexibility-willingness is for performance outcome in the context of smartwork. It was hypothesized that flexibility-willingness mediates between perceived smartwork usefulness and work-family conflict. It was also hypothesized based on technology acceptance model that task interdependence and process control moderates the relationship between flexibility-willingness and work-family conflict because the relationship is not consistent. The results show that the mediation effect of the flexibility-willingness is statistically significant. The moderator effects of task interdependence was marginal proved but process control wasn't. From these results, we discussed the theoretical implications of findings, limitations, suggestions for future research in discussion.

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Survey About Current Status of Pediatric and Adolescent Physical Therapy: Focus on Pediatric and Adolescent Rehabilitation Hospitals in Seoul and Gyeonggi Province (소아 청소년 물리치료 실태 조사: 서울 경기 지역 소아 청소년 재활병원을 중심으로)

  • Kim, Jeong-soo;Min, Kyoung-chul
    • Therapeutic Science for Rehabilitation
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    • v.12 no.4
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    • pp.67-80
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    • 2023
  • Objective : This study aimed to investigate the current status of physical therapy in children and adolescents. Methods : Sixty questionnaires from physical therapists treating children and adolescents with disabilities were analyzed. The questionnaire consisted of questions on physical therapy, participants, satisfaction, and the assessment of pediatric and adolescent physical therapy. Descriptive statistics and frequencies were used to investigate the current status, participants, and satisfaction. Differences between physical therapy participation difficulty, importance-ability of major aspects of pediatric and adolescent physical therapy, and therapy goal frequency were analyzed using paired T-test. Results : 11 to 15 cases (66.7%) and one-on-one treatment (95.0%) were performed independently (95.0%). The main ages of the subjects were preschool and school, the diagnoses were brain lesions and developmental delay, and treatment was conducted for up to 20 years or older. Satisfaction with pediatric and adolescent physical therapy was high (70.0%), as was the intensity of work (71.7%). Neurodevelopmental therapy, gait training, and goal-directed rehabilitation were the main treatments, and Gross Motor Function Measures of 88 and 66, respectively, were used. Respondents said that current fee system is inadequate (66.1%) and appropriate fee system is needed. Conclusion : This study extensively investigated the content of and factors related to pediatric and adolescent physical therapy. Based on the current situation, efforts to improve the expertise and continuity of pediatric and adolescent physical therapists and apply the latest treatment techniques are required.

The Perception Analysis of Autonomous Vehicles using Network Graph (네트워크 그래프를 활용한 자율주행차에 대한 인식 분석)

  • Hyo-gyeong Park;Yeon-hwi You;Sung-jung Yong;Seo-young Lee;Il-young Moon
    • Journal of Practical Engineering Education
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    • v.15 no.1
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    • pp.97-105
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    • 2023
  • Recently, with the development of artificial intelligence technology, many technologies for user convenience are being developed. Among them, interest in autonomous vehicles is increasing day by day. Currently, many automobile companies are aiming to commercialize autonomous vehicles. In order to lay the foundation for the government's new and reasonable policy establishment to support commercialization, we tried to analyze changes and perceptions of public opinion through news article data. Therefore, in this paper, 35,891 news article data mentioning terms similar to 'autonomous vehicles' over the past three years were collected and network analyzed. As a result of the analysis, major keywords such as 'autonomous driving', 'AI', 'future', 'Hyundai Motor', 'autonomous driving vehicle', 'automobile', 'industrial', and 'electric vehicle' were derived. In addition, the autonomous vehicle industry is developing into a faster and more diverse platform and service industry by converging with various industries such as semiconductor companies and big tech companies as well as automobile companies and is paying attention to the convergence of industries. To continuously confirm changes and perceptions in public opinion, it is necessary to analyze perceptions through continuous analysis of SNS data or technology trends.

Analysis of the Abstract Structure in Scientific Papers by Gifted Students and Exploring the Possibilities of Artificial Intelligence Applied to the Educational Setting (과학 영재의 논문 초록 구조 분석 및 이에 대한 인공지능의 활용 가능성 탐색)

  • Bongwoo Lee;Hunkoog Jho
    • Journal of The Korean Association For Science Education
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    • v.43 no.6
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    • pp.573-582
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    • 2023
  • This study aimed to explore the potential use of artificial intelligence in science education for gifted students by analyzing the structure of abstracts written by students at a gifted science academy and comparing the performance of various elements extracted using AI. The study involved an analysis of 263 graduation theses from S Science High School over five years (2017-2021), focusing on the frequency and types of background, objectives, methods, results, and discussions included in their abstracts. This was followed by an evaluation of their accuracy using AI classification methods with fine-tuning and prompts. The results revealed that the frequency of elements in the abstracts written by gifted students followed the order of objectives, methods, results, background, and discussions. However, only 57.4% of the abstracts contained all the essential elements, such as objectives, methods, and results. Among these elements, fine-tuned AI classification showed the highest accuracy, with background, objectives, and results demonstrating relatively high performance, while methods and discussions were often inaccurately classified. These findings suggest the need for a more effective use of AI, through providing a better distribution of elements or appropriate datasets for training. Educational implications of these findings were also discussed.

Understanding the Evaluation of Quality of Experience for Metaverse Services Utilizing Text Mining: A Case Study on Roblox (텍스트마이닝을 활용한 메타버스 서비스의 경험 품질 평가의 이해: 로블록스 사례 연구)

  • Minjun Kim
    • Journal of Service Research and Studies
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    • v.13 no.4
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    • pp.160-172
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    • 2023
  • The metaverse, derived from the fusion of "meta" and "universe," encompasses a three-dimensional virtual realm where avatars actively participate in a range of political, economic, social, and cultural activities. With the recent development of the metaverse, the traditional way of experiencing services is changing. While existing studies have mainly focused on the technological advancements of metaverse services (e.g., scope of technological enablers, application areas of technologies), recent studies are focusing on evaluating the quality of experience (QoE) of metaverse services from a customer perspective. This is because understanding and analyzing service characteristics that determine QoE from a customer perspective is essential for designing successful metaverse services. However, relatively few studies have explored the customer-oriented approach for QoE evaluation thus far. This study conducted an online review analysis using text mining to overcome this limitation. In particular, this study analyzed 227,332 online reviews of the Roblox service, known as a representative metaverse service, and identified points for improving the Roblox service based on the analysis results. As a result of the study, nine service features that can be used for QoE evaluation of metaverse services were derived, and the importance of each feature was estimated through relationship analysis with service satisfaction. The importance estimation results identified the "co-experience" feature as the most important. These findings provide valuable insights and implications for service companies to identify their strengths and weaknesses, and provide useful insights to gain an advantage in the changing metaverse service environment.

A Comparative Analysis of Research Trends in Korean Modern Medicine: Focusing on Two Journals of Medical School (근대의학 논문의 계량학적 방법을 통한 연구 경향 비교 분석 - 의학전문학교 학술지 2종을 중심으로 -)

  • Mijin Seo;Jisu Lee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.34 no.4
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    • pp.29-54
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    • 2023
  • This study aimed to analyze the research trends of journal articles published by medical schools representing Korean modern. A total of 682 were selected from two journals published by Medical College in Keijo and Keijo Imperial University Medical Faculty. In results, the affiliations of authors who participated in Acta Medicinalia in Keijo included various schools and hospitals, and the authors' major was found to be similar in basic medicine and clinical medicine. In The Keijo Journal of Medicine, only school-affiliated authors participated, and 96.33% of the authors were majors in basic medicine. Co-occurrence network analysis was conducted on MeSH terms from the title of the article using MeSH on Demand, and the keyword that derived in both journals was 'erythrocytes', which analyzed the condition of red blood cells according to organs and diseases. In frequency analysis, a common area of research in both journals was the study focusing on blood and blood cells, and the study of anemia and tuberculosis, which were prevalent diseases at the time. As for comparing each journal, Acta Medicinalia in Keijo has focused on inflammatory diseases and clinical pathological studies in humans, and The Keijo Journal of Medicine has focused on anatomical studies on animals and pharmacological studies on medicines. Through this study, it was possible to identify the research topics and major keywords in two medical schools with different founding goals.

Evaluation of Growth Characteristics of T hree Monocot Plants Native to Korea according to Cultivation Environments in Greenhouse (온실재배환경에 따른 자생 단자엽식물 3종의 생육 특성 평가)

  • Yu-Jin Kim;Hamin Lee;Boran Ji;Kichan Kim;Bo-Kook Jang;Cheol Hee Lee;Ju-Sung Cho
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2022.09a
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    • pp.47-47
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    • 2022
  • 단자엽식물은 잎의 곡선과 직선의 조화가 아름다워 관상용으로 가치가 높은 식물이다. 이로 인해 자생 단자엽식물의 실내 관상 및 조경용 소재개발 연구가 활성화되고 있으나 재배에 대한 정보는 미비한 실정이다. 본 연구에서는 국내 자생 단자엽식물인 참김의털[Festuca ovina L. var. coreana (St.-Yves) St.-Yves], 청사초(Carex breviculmis R.Br.), 골풀[Juncus decipiens (Buchenau) Nakai]을 대상으로 몇 가지 재배 조건에 대한 생육 차이를 확인하였다. 국립생물자원관으로부터 분양 받은 세 종의 종자는 휴면 여부와 발아 적온을 확인하기 위해 종자를 페트리디쉬에 파종한 후 15, 20, 25, 30℃(명 또는 암조건) 및 25/15℃(16/8h, 명/암) 조건에 배치하였다. 재배실험은 유리온실에서 수행되었으며, 토양에 파종 후 4주간 육묘한 다음 균일한 생육상태의 묘를 7cm 포트에 이식하여 실험의 재료로 사용하였다. 토양실험은 시판 원예용상토와 마사토를 혼합하여 사용하였으며, 비율을 1:1, 2:1 및 3:1로 조성하였다. 차광 환경은 55, 75% 차광과 무차광 조건으로 달리 하였으며, 추비는 재배 6, 8, 10주차에 500, 1,000ppm의 하이포넥스(NPK 7-10-6) 용액을 엽면시비 하였다. 토양실험을 제외한 모든처리구에서는 원예상토 단용을 사용하였으며, 이식 후 12주간 재배하였다. 발아 실험 결과, 참김의털은 명조건에서 25/15와 15℃를 제외하고 발아율이 10% 이하로 조사되었으며, 암조건에서 온도가 증가할수록 발아율이 감소하였다. 청사초는 모든 온도에서 90%이상 발아하였으며, 암조건의 경우 발아율이 10% 이하로 조사되어 광발아성 종자로 확인되었다. 골풀은 실험이 진행된 30일 동안 모든온도에서 발아하지 않았으나, 재배실험을 위해 토양에 파종된 골풀은 파종 약3주 이후 발아가 관찰되었다. 재배실험 결과, 참김의털과 청사초의 경우 2:1로 혼합한 토양에서 엽수와 분얼수, 생체중 등이 가장 높게 조사되어 관상적 가치가 높았으며, 골풀은 3:1의 혼합토양에서 생육이 가장 우수하였다. 차광은 세 종 모두에게서 생육에 부정적인 영향을 미쳤으며, 청사초와 골풀은 500ppm의 하이포넥스를 시비하였을 때 생육이 촉진되었다.

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Investigation of Several Conditions for Efficient Cultivation of Two Native Medicinal Plants (자생 약용식물 2종의 효율적인 재배를 위한 적정 조건 구명)

  • Soyeon Park;Kyungtae Park;Jihun Lee;Bo-Kook Jang;Cheol Hee Lee;Ju-Sung Cho
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2022.09a
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    • pp.43-43
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    • 2022
  • 우리나라의 많은 자생식물은 약용 및 관상용으로 이용되어 안정적인 공급을 위해서는 적절한 재배 조건에 대한 정보가 필요하다. 본 연구에 사용된 비수리[Lespedeza cuneata (Dum.Cours.) G.Don]와 제비쑥(Artemisia japonica Thunb.)은 각 야관문과 모호라는 이름으로 불리며 약용자원으로서 가치가 높은 식물이나 적정 재배조건에 대한 정보가 부족하다. 따라서 효율적인 재배 조건을 제시하기위해 재배 시 토양, 차광, 추비가 식물의 생육에 미치는 영향을 비교하였다. 실험에 사용된 식물의 종자는 2022년 국립생물자원관에서 분양 받았다. 두 종의 종자를 페트리디시에 파종한 후 15, 20, 25, 30℃(명 또는 암조건)과 25/15℃(16/8h, 명/암) 조건에 파종하여 발아 및 휴면 여부를 확인하였다. 재배 실험은 유리온실에서 원예용상토에 파종한 다음 비수리는 4주, 제비쑥은 6주 동안 생육시킨 균일한 묘를 각 지름 7, 9cm 포트에 이식하여 실험에 사용하였다. 토양실험은 원예상토와 마사토의 비율을 각 1:1, 2:1 및 3:1로 혼합하여 사용하였으며, 차광조건은 무차광, 55, 75%로 설정하였다. 추비 조건은 500 및 1,000ppm 하이포넥스 용액을 재배 6주 후 2주 간격으로 총 3회 엽면시비 하였으며, 원예상토 단용을 모든 실험의 대조구로 사용하였다. 발아실험결과, 비수리는 광조건의 모든 온도에서 발아하였으며, 암조건에서도 유사한 결과를 보였다. 반면 제비쑥은 20℃ 이하의 광조건에서 발아율이 유의적으로 감소하는 경향이었으며, 암조건에서는 모든 온도에서 발아율이 저조하였다. 재배조건 실험 결과, 두 식물 모두 원예상토와 마사토를 3:1로 혼합한 토양이 가장 생육에 적합하였으며, 1,000ppm의 하이포넥스로 추비 처리시 생육이 촉진되었다. 반면 모든 차광조건에서는 식물의 생육이 부진한 모습을 보여, 생육에 부정적인 영향을 주었다.

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Analysis of Shipping Markets Using VAR and VECM Models (VAR과 VECM 모형을 이용한 해운시장 분석)

  • Byoung-Wook Ko
    • Korea Trade Review
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    • v.48 no.3
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    • pp.69-88
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    • 2023
  • This study analyzes the dynamic characteristics of cargo volume (demand), ship fleet (supply), and freight rate (price) of container, dry bulk, and tanker shipping markets by using the VAR and VECM models. This analysis is expected to enhance the statistical understanding of market dynamics, which is perceived by the actual experiences of market participants. The common statistical patterns, which are all shown in the three shipping markets, are as follows: 1) The Granger-causality test reveals that the past increase of fleet variable induces the present decrease of freight rate variable. 2) The impulse-response analysis shows that cargo shock increases the freight rate but fleet shock decreases the freight rate. 3) Among the three cargo, fleet, and freight rate shocks, the freight rate shock is overwhelmingly largest. 4) The comparison of adjR2 reveals that the fleet variable is most explained by the endogenous variables, i.e., cargo, fleet, and freight rate in each of shipping markets. 5) The estimation of co-integrating vectors shows that the increase of cargo increases the freight rate but the increase of fleet decreases the freight rate. 6) The estimation of adjustment speed demonstrates that the past-period positive deviation from the long-run equilibrium freight rate induces the decrease of present freight rate.

Analysis of trends in domestic research on addiction using text mining and CONCOR (텍스트마이닝과 CONCOR을 활용한 중독 관련 국내 연구 동향 분석)

  • Sol-Ji Lee;Ki-Hyok Youn
    • Journal of Internet of Things and Convergence
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    • v.9 no.6
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    • pp.99-110
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    • 2023
  • This study analyzed 817 articles published in Korean professional journals over the past three years, from 2020 to 2022, using text mining techniques to identify trends in addiction research in Korea and explore development directions. The analysis results are as follows. First, as a result of the analysis of the top keywords, online addiction studies such as smartphones, games, Internet, gambling, and relationship addiction were prominent as the top keywords. Second, as a result of TF-IDF analysis, many addiction studies related to behavioral addiction such as smartphones, games, the Internet, and work addiction have been conducted over the past three years, and in particular, there are many studies on addiction problems such as smartphones, games, and the Internet that have not yet been clinically diagnosed as addiction problems. This is the same as the result of word frequency analysis, and it can be interpreted that recent studies have been remarkably conducted on more diverse addiction problems. Third, the 2-gram analysis shows that words that mainly correspond to behavioral addiction, such as smartphones, games, and the Internet, appear side by side with the keyword addiction, and among them, words paired with smartphones are mentioned a lot in research papers and are being studied. Fourth, as a result of the CONCOR analysis, there were five clusters: a study on universal addiction issues such as alcohol use disorders and the Internet, a study of recovery on drug and gambling addiction, a study on mobile devices and media addiction, a study on the latest trends related to behavioral addiction, and other addiction issues. Finally, based on the results of this study, a direction for future addiction-related research was suggested.