• Title/Summary/Keyword: BIG4

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Impact of COVID-19 on the development of major mental disorders in patients visiting a university hospital: a retrospective observational study

  • Hee-Cheol Kim
    • Journal of Yeungnam Medical Science
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    • v.41 no.2
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    • pp.86-95
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    • 2024
  • Background: This study aimed to investigate the impact of coronavirus disease 2019 (COVID-19) on the development of major mental disorders in patients visiting a university hospital. Methods: The study participants were patients with COVID-19 (n=5,006) and those without COVID-19 (n=367,162) registered in the database of Keimyung University Dongsan Hospital and standardized with the Observational Medical Outcomes Partnership Common Data Model. Data on major mental disorders that developed in both groups over the 5-year follow-up period were extracted using the FeederNet computer program. A multivariate Cox proportional hazards model was used to estimate the hazard ratio (HR) and 95% confidence interval (CI) for the incidence of major mental disorders. Results: The incidences of dementia and sleep, anxiety, and depressive disorders were significantly higher in the COVID-19 group than in the control group. The incidence rates per 1,000 patient years in the COVID-19 group vs. the control group were 12.71 vs. 3.76 for dementia, 17.42 vs. 7.91 for sleep disorders, 6.15 vs. 3.41 for anxiety disorders, and 8.30 vs. 5.78 for depressive disorders. There was no significant difference in the incidence of schizophrenia or bipolar disorder between the two groups. COVID-19 infection increased the risk of mental disorders in the following order: dementia (HR, 3.49; 95% CI, 2.45-4.98), sleep disorders (HR, 2.27; 95% CI, 1.76-2.91), anxiety disorders (HR, 1.90; 95% CI, 1.25-2.84), and depressive disorders (HR, 1.54; 95% CI, 1.09-2.15). Conclusion: This study showed that the major mental disorders associated with COVID-19 were dementia and sleep, anxiety, and depressive disorders.

A Study on the Impact of Transactional Leadership on Job Performance and Job Satisfaction: The Mediating Effect of Job Engagement

  • Eun-Jin Choi;Sang-Chul Lee;Yang-Kyun Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.4
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    • pp.135-143
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    • 2024
  • This study investigates the impact of transactional leadership on job performance(team performance) and job satisfaction, with a focus on the mediating effect of job engagement. This study highlights the significance of contingent rewards and management by exception, components of transactional leadership, in motivating organizational members towards achievement and maintaining high performance levels. Through analysis, this research aims to demonstrate how transactional leadership affects employees' job engagement, subsequently influencing job performance and satisfaction. By understanding the role of job engagement as a mediator, organizations can adjust leadership styles and enhance job engagement, ultimately improving organizational performance and employee satisfaction. The findings suggest a composite approach to leadership, integrating both transactional and transformational elements, is more effective in fostering high job performance and satisfaction among employees. This study provides insights into developing strategies to boost job engagement and optimize leadership practices for better organizational outcomes.

Analysis of Factors Affecting Smart HACCP Utilization: Job Performance, Job Satisfaction, and Job Stress among School Food Service Employees in Gyeonggi-do and Incheon (경기ㆍ인천지역 학교급식 조리종사원의 스마트 HACCP 사용의 직무수행도, 직무만족도, 및 직무스트레스에 미치는 요인 분석)

  • So Yeon Park;Chan Yoon Park
    • Journal of the Korean Dietetic Association
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    • v.30 no.2
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    • pp.95-111
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    • 2024
  • The Smart Hazard Analysis Critical Control Point (HACCP) management system, which integrates information technology (IT) to automate and analyze big data, has been introduced into school food services. This study investigated the job performance, job satisfaction, and job stress of employees in school food services using Smart HACCP. Data were collected via questionnaires from 350 employees in school food services who utilized Smart HACCP and worked in Gyeonggi-do or Incheon. The questionnaire included general information, workplace characteristics, HACCP education status, job performance, and job satisfaction according to the use of Smart HACCP, and general job stress. The responses showed that 92.3% of the participants had received HACCP education in the workplace, and 66.6% understood the content of the education. Among the HACCP process stages, CCP2 (Food Handling and Cooking) and CCP3 (Cooking Completion and Distribution) were the stages at which all participants were using Smart HACCP. CCP3 had the highest percentage (61.4%) of participants who experienced feeling the maximum reduction in their tasks by using Smart HACCP. The Smart HACCP job performance at CCP1 (Inspection) and Smart HACCP job satisfaction were higher in workplaces with 6~10 employees, compared to those with 10≤ employees (both P<0.05). The Smart HACCP job performances at of CP1 (Refrigeration and Freezer Temperature Management) and CP2 (Cleaning and Disinfection of Food Contact Surfaces) were significantly affected by the work area. General job stress was significantly higher in cooks than in cook practitioners, higher in employees with cook certification than in those without it, and higher in employees with work experience (<1 year), compared to those with 5~10 years or 10~15 years' experience. In conclusion, employees' job performance and satisfaction with Smart HACCP need to be enhanced to improve hygiene in school food service. This requires the effective management of their job stress.

Empirical Study for Causal Relationship between Weather and e-Commerce Purchase Behavior

  • Hyun-Jin Yeo
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.4
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    • pp.155-160
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    • 2024
  • Weather indexes such as temperature, humidity, wind speed and air pressure have been studied for diverse life-related factors: Food poisoning, discomfort, and others. In that, the Korea Meteorological Administration(KMA) has been released indexes such as 'Life industrial weather information', 'Safety weather information', and even 'picnic weather information' that shows how an weather like to enjoy picnic. Those weather-life effects also reveal on shopping preference such as an weather affects offline shopping purchase behaviors especially big-marts because they have outside leisure activity attribute However, since online shopping has not physical attribute, weather factors may not affect on same way to offline. Although previous researches have focused on psychological factors that have been utilized in marketing criteria, this research utilize KMA weather dataset that affects psychological factors. This research utilize 1,033 online survey for SEM analysis to clarify relationships between weather factors and online shopping purchase behaviors. As a result, online purchase intention is affected by temperature and humidity.

Privacy-Preserving Collection and Analysis of Medical Microdata

  • Jong Wook Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.5
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    • pp.93-100
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    • 2024
  • With the advent of the Fourth Industrial Revolution, cutting-edge technologies such as artificial intelligence, big data, the Internet of Things, and cloud computing are driving innovation across industries. These technologies are generating massive amounts of data that many companies are leveraging. However, there is a notable reluctance among users to share sensitive information due to the privacy risks associated with collecting personal data. This is particularly evident in the healthcare sector, where the collection of sensitive information such as patients' medical conditions poses significant challenges, with privacy concerns hindering data collection and analysis. This research presents a novel technique for collecting and analyzing medical data that not only preserves privacy, but also effectively extracts statistical information. This method goes beyond basic data collection by incorporating a strategy to efficiently mine statistical data while maintaining privacy. Performance evaluations using real-world data have shown that the propose technique outperforms existing methods in extracting meaningful statistical insights.

A Study on the Factors Influencing the Competitiveness of Small and Medium Companies Applied with Smart Factory System (스마트공장 시스템 구축이 중소기업 경쟁력에 미치는 요인에 관한 연구)

  • Young-Hwan Choi;Sang Hyun Choi
    • Information Systems Review
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    • v.19 no.2
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    • pp.95-113
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    • 2017
  • The advent of information communication technology or the Fourth Industrial Revolution facilitated the fusion of equipment and management systems, such as Manufacturing Execution System, Enterprise Resource Planning, and Product Lifecycle Management, in the successful implementation of smart factories. The government supports the early adoption of these systems in small and medium companies to enhance their global competitiveness in producing products that can be recognized in a dramatically changing manufacturing environment. This study introduces smart factories to improve company competitiveness and address influences from the government assistance, CEO leadership, external consultancy, and organizational participation. We analyzed 101 results received from the questionnaires circulated to small- and medium-sized manufacturing companies. Given a successful smart factory implementation, company competitiveness is the factor that mostly influences organizational participation, government assistance, external consultancy, and CEO leadership. This study suggests several perspectives to implement a smart factory, which is the most important aspect of company competitiveness.

Prolactin Monomeric Polyethylene Glycol Measurement Method and Study of Reference Value Verification

  • Dong Hyuk Ha;Hwa-Jin Ryu;Hyun-Su Cho;Sun-Young Shin
    • The Korean Journal of Nuclear Medicine Technology
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    • v.27 no.2
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    • pp.133-136
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    • 2023
  • Purpose: Prolactin in the blood is separated into three types, and over 90% of prolactin presents as a double monomer (23 KDa). Rarely, it can exist in the size of big prolactin (150 KDa), which is called macroprolactin and is known as an autoantibody complex. When macroprolactin accounts for more than 60% of prolactin in the blood, it is called macroprolactinemia. The presence of such macroprolactin was first reported in a patient with hyperprolactinemia but without typical symptoms. Macroprolactinemia is emerging as an important cause of idiopathic hyperprolactinemia. The polyethylene glycol (PEG) precipitation method using the property of precipitating large-molecular-weight proteins is simple and recently has been widely used as a screening test. The results are in good agreement with the results of gel chromatography. The purpose of this study was to confirm the measurement method and reference value verification of monomeric prolactin in blood prolactin using the PEG precipitation method. Materials and Methods: For 40 examinees who visited the Gangnam Center of Seoul National University Hospital in 2021, the prolactin level was verified using radioimmunoassay (RIA). For macroprolactinemia PEG precipitation method, 25% PEG (molecular weight 6000kDa) solution and serum were mixed in equal amounts in a test tube, then left at room temperature for 20 minutes and centrifuged at 4℃ for 30 minutes (1500g). The prolactin level was measured in the supernatant. Results : After confirming that more than 90% of the 40 tested samples within the reference range <25 ng/mL, the same value as the reference value for prolactin was applied. Since the concentration of monomeric prolactin in serum from which macroprolactin has been removed from blood is diluted 1:1 with PEG, our laboratory is currently reporting the result by multiplying the result by a dilution factor of 2. Conclusion: Radioimmunoassay using PEG precipitation method using the property of precipitating large molecular weight proteins is simple and effective for quantitative measurement of monomeric prolactin in blood prolactin.

Exploratory Data Analysis on the Connection of the Software Curriculum between the Primary and Secondary Curriculums and the Higher Curriculums (초중등 교육과정과 고등교육과정의 소프트웨어 교과의 연계 문제에 대한 탐색적 데이터 분석)

  • Mi-yeon Kim;Choong-ho Lee
    • Journal of Practical Engineering Education
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    • v.16 no.3_spc
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    • pp.283-290
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    • 2024
  • Software education is an important subject in the era of forth industrial evolution generation, and the number of hours is gradually expanding in Korea's elementary and secondary curriculum, and universities have also opened software-related courses to take liberal arts mandatory regardless of major. The Ministry of Education presented elementary and secondary school programming achievement standards and emphasized the connection between prerequisite subjects as educational goals. Applicants for programming classes at H University also completed information classes in elementary and secondary courses, but many students were new to programming without taking related classes. Therefore, this study analyzed the data using the survey data and achievement scores of programming learners. As a result of the analysis, information classes completed in elementary and secondary courses were not linked to higher education courses at all, and improvements for problem solving were derived. This study is meaningful as a study for effective software education in higher education courses.

Analysis of Global Smart Logistics Trends Using Patent Analysis: Focusing on the Development of the Domestic Logistics Industry (특허 분석을 이용한 글로벌 스마트 물류 트렌드 분석: 국내 물류 산업 발전을 중심으로)

  • Youngchul, Song;Seulgi Ryu;Minyoung Park;Daye Lee;Byungun Yoon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.47 no.3
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    • pp.181-190
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    • 2024
  • The era of logistics 4.0 in which new technologies are applied to existing traditional logistics management has approached. It is developing based on the convergence between various technologies, and R&D are being conducted worldwide to build smart logistics by synchronizing various services with the logistics industry. Therefore, this study proposes a methodology and technology strategy that can achieve trend analysis using patent analysis and promote the development of the domestic smart logistics industry based on this. Based on the preceding research, eight key technology fields related to smart logistics were selected, and technology trends were derived through LDA techniques. After that, for the development of the domestic logistics industry, the strategy of the domestic smart logistics industry was derived based on analysis including technology capabilities. It proposed a growth plan in the field of big data and IoT in terms of artificial intelligence, autonomous vehicles, and marketability. This study confirmed smart logistics technologies by using LDA and quantitative indicators expressing the market and technology of patents in literature analysis-oriented research that mainly focused on trend analysis. It is expected that this method can also be applied to emerging logistics technologies in the future.

Examples of AI Technology Applications in the Field of Cultural Heritage Record Management -Focusing on "Finding Cultural Heritage - ZOOM"- (문화유산 기록관리 분야 AI기술 적용 사례 -'문화유산 찾아-ZOOM'을 중심으로-)

  • Ju hyun Baek
    • Journal of Korean Society of Archives and Records Management
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    • v.24 no.3
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    • pp.145-156
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    • 2024
  • This study explores the integration of cutting-edge technology with records management, aiming to create new value not only in work processes but also in record information services. The research focuses on the case of constructing an "AI-based cultural heritage research record learning data and search system," carried out by the National Research Institute of Cultural Heritage (NRICH) Archives, and analyzes user satisfaction results. "Discovering Cultural Heritage with ZOOM" is a system designed to proactively predict research data demand by constructing big data (learning data) from images (675,338 items) contained in 1,421 volumes of publications in the cultural heritage field, spanning from 1973 to the present, and simultaneously presenting 50 similar images. This initiative aims to foster change and development in the field of records management and cultural heritage in response to the Fourth Industrial Revolution's advanced technologies. It is expected to provide valuable information to researchers, practitioners, and the general public alike.