• Safety and Health at Work
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• v.14 no.4
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• pp.390-397
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• 2023

Introduction: Biological risks are a major global problem in the workplace. The recent COVID-19 pandemic has highlighted the need for a more comprehensive understanding of the biological risks at work. This study presents data on both communicable infectious biological agents and noncommunicable factors leading to death and disability for the year 2021. Methods: We followed the methodology established by the International Labour Organization (ILO) in their past global estimates on occupational accidents and work-related diseases. We used relevant ILO estimates for hazardous substances and related population attributable fractions derived from literature, which were then applied to World Health Organization mortality data. The communicable diseases included in the estimates were tuberculosis, pneumococcal diseases, malaria, diarrheal diseases, other infectious diseases, neglected tropical diseases, influenza associated respiratory diseases and COVID-19. Noncommunicable diseases and injuries considered were Chronic Obstructive Diseases (COPD) due to organic dusts, asthma, allergic reactions and risks related to animal contact. We estimated death attributable to biological risk at work and disability in terms of disability adjusted life years (DALYs). Results: We estimated that in 2022, 550,819 deaths were caused by biological risk factors, with 476,000 deaths attributed to communicable infectious diseases and 74,000 deaths caused by noncommunicable factors. Among these, there were 223,650 deaths attributed to COVID-19 at work. We calculated the rate of 584 DALYs per 100,000 workers, representing an 11% increase from the previous estimate of the global burden of work-related disabilities measured by DALYs. Conclusion: This is a first update since previous 2007 ILO estimates, which has now increased by 74% and covers most biological risks factors. However, it is important to note that there may be other diseases and deaths are missing from the data, which need to be included when new information becomes available. It is also worth mentioning that while deaths caused by major communicable diseases including COVID-19 are relatively rare within the working population, absences from work due to these diseases are likely to be very common within the active workforce.

• Journal of dental hygiene science
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• v.24 no.1
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• pp.37-53
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• 2024

Background: To train dental hygienists to utilize knowledge in practice, an integrated curriculum based on the competencies of dental hygienists is expanding; however, in the field of basic dental hygiene the curriculum is still fragmented and based on segmented knowledge. This study developed an integrated curriculum based on the competencies of dental hygienists in Anatomy, Histology & Embryology, Physiology, which are subjects for basic dental hygiene that have high linkage and overlap. Methods: After selecting the learning objectives for the integrated curriculum from those of Anatomy, Histology & Embryology, Physiology, the duties of the dental hygienist in relation to the learning objectives were analyzed. Learning objectives were combined with the duties of a dental hygienist to derive competencies for an integrated curriculum. Referring to the syllabus and learning objectives for each subject, the weekly educational content, learning objectives, and credits of the integrated curriculum were derived. After conducting a Delphi survey to validate the competency and content of the derived integrated curriculum, an integrated curriculum was developed. Results: By using the first and second Delphi surveys, four competencies were developed for dental hygienists that can be achieved through an integrated basic dental hygiene curriculum. In addition, an integrated curriculum including the courses Anatomy, Histology & Embryology, Physiology, Structure and Function of the Human Body/Head/Neck, and Structure and Function of the Oral Cavity was established. Conclusion: This study presents a specific example for developing a competency-based integrated curriculum that can be used as a framework to derive a competency-based integrated curriculum among subjects that can be integrated according to the linkage of learning contents and the competencies that can be achieved.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.915-922
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• 2024

Currently, in Korea, there is a growing interest in improving the learning ability of the education target group due to the low birth rate and aging population. The dilemma of a shrinking population ultimately causes the burden of having to come up with a plan to efficiently maximize the use of available population resources. Accordingly, this study explores the impact of learning motivation (activity-oriented motivation, learning-oriented motivation) on learner characteristics (learning value, learning efficacy) and learning satisfaction, and as a result, intention to continue participating in lifelong learning (recommendation intention, relationship continuation intention). As a results of the analysis, it shows that learning motivation had a significant effect on learning satisfaction, and the emotions formed in this way had a positive effect on recommendation intention and relationship continuation intention. In addition, the results show that learning-oriented motivation had a significant effect on both learning satisfaction and learner characteristics, but that learning efficacy had no effect on recommendation intention. This study is significant in that it presents the basis for an educational system based on relationship maintenance and learner characteristics by considering the learner's orientation, individual achievement direction, recommendation intention, and relationship continuation intention.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.809-818
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• 2024

This paper proposes an action plan for local governments to safely utilize artificial intelligence technology in various local government policies. The proposed method analyzes cases of application of artificial intelligence-related laws and policies in Gyeonggi Province, Seoul City, and New York City, and then presents matters that local governments should consider when utilizing AI technology in their policies. This paper applies the AILocalism-Korea analysis methodology, which is a modified version of the AILocalsm analysis methodology[1] presented by TheGovLab at New York University. AILocalism-Korea is an analysis methodology created to analyze the current activities of each local government in the fields of legal system, public procurement, mutual cooperation, and citizen participation, and to suggest practical alternatives in each area. In this paper, we use this analysis methodology to present 9 action plans that local governments should take based on safe and reliable use of artificial intelligence. By utilizing various AI technologies through the proposed plan in local government policies, it will be possible to realize reliable public services.

• Journal of the Korean Society of Radiology
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• v.85 no.2
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• pp.445-450
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• 2024

Gastric metastasis (GM) from cervical cancer is extremely rare, and only a few cases have been reported in the English literature. Gastric-type mucinous adenocarcinomas (GAS) of the uterine cervix are rare. GAS is an aggressive cancer commonly found in advanced stages; however, GM has not been reported. This study presents a rare case of GM from GAS of the uterine cervix in a 61-year-old female and describes the radiological findings of both the GM and cervical mucinous adenocarcinoma. GM appeared as a poor enhancing submucosal mass. The cervical mucinous adenocarcinoma appeared as an infiltrating mass with poor contrast enhancement. It exhibited mildly high and low signal intensities on the diffusion-weighted image and apparent diffusion coefficient map, respectively. This case is extremely rare and challenging to diagnose; however, if cervical cancer is an human papillomavirus-independent GAS type and a submucosal lesion is found in the stomach, the possibility of metastasis with a pattern similar to our case could be considered.

• Journal of the Korean Society of Radiology
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• v.84 no.3
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• pp.736-744
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• 2023

Adult-onset Alexander Disease (AOAD) is a rare genetically determined leukoencephalopathy that presents with ataxia, spastic paraparesis, or brain stem signs including speech abnormalities, swallowing difficulties, and frequent vomiting. The diagnosis of AOAD is frequently proposed based on the findings on MRI. We demonstrate two cases (37-year-old female and 61-year-old female) with characteristic imaging findings and changes in follow-up MRI in patients with AOAD, which were confirmed via glial fibrillary acidic protein (GFAP) mutation analysis. On MRI, the typical tadpole-like brainstem atrophy and periventricular white matter abnormalities were noted. The presumptive diagnoses were made based on the typical MRI appearances and, subsequently, confirmed via GFAP mutation analysis. Follow-up MRI demonstrated the progression of atrophy in the medulla and upper cervical spinal cord. Our report could help raise awareness of characteristic MRI findings of AOAD, thus helping clinicians use GFAP analysis for AOAD diagnosis confirmation.

• The Journal of Sustainable Design and Educational Environment Research
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• v.23 no.2
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• pp.1-10
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• 2024

This study presents a model for educational planning based on user participatory design for the purposes of curriculum development and educational space innovation. It reviewed previous research and practices related to educational space innovation, educational planning processes, and user participation design and suggested a draft model. This model was applied in the renovation project of an elementary school, and the problems encountered during the application were reflected upon and used to improve the model. The final model comprises four phases. Phase 1 is an initial exploratory phase foruser participation, where educational planners and users form a shared perspective regarding the future of education. Phase 2 is a needs-analysis phase for the transition to future education, which focuses on setting the overall direction of the school-level curriculum. Phase 3 specifies the direction of future school curricula and identifies needs for educational spaces. Finally, Phase 4 focuses on the interaction between educational and space planners. Based on the above discussion, the study discussed the benefits and limitations of this educational planning model for school space innovation.

• Journal of the Microelectronics and Packaging Society
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• v.31 no.2
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• pp.63-68
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• 2024

With the increasing use of transparent displays and flexible devices, polymer substrates offering excellent flexibility and strength are in demand. Since polymers are sensitive to heat, precise temperature control during the process is necessary. The study proposes a temperature measurement system for the laser processing area within the polymer base, aiming to address the drawbacks of using these polymer bases in laser-based selective processing technology. It presents the possibility of optimizing the process conditions of the polymer substrate through local temperature change measurements in the laser processing area. We developed and implemented the PDPT (Photodiode-based Planck Thermometry) to measure temperature in the laser-processing area. PDPT is a non-destructive, contact-free system capable of real-time measurement of local temperature increases. We monitored the temperature fluctuations during the laser processing of the polymer substrate. The study shows that the proposed laser-based temperature measurement technology can measure real-time temperature during laser processing, facilitating optimal production conditions. Furthermore, we anticipate the application of this technology in various laser-based processes, including essential micro-laser processing and 3D printing.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.3
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• pp.69-79
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• 2024

Companies should resolve consumer dissatisfaction and increase brand loyalty by actively identifying the factors of consumer dissatisfaction and proactively responding to expected complaint behavior to induce repurchase. This is a management goal that should be pursued in common regardless of the size of the company. The specific purpose of this study is to find out whether the degree of dissatisfaction differs depending on whether or not consumers' expected performance before purchase and the actual perceived performance after purchase is compared, whether the degree of dissatisfaction affects the type of complaint behavior, which is a subsequent behavior, and whether the attributable behavior has a moderating effect in this process and whether the persistence of the result and the controllability of the cause act as a factor that determines the attribution position. In particular, compared to general companies, venture companies are more likely to overload the information processing ability of managers and are likely to make various irrational errors in decision making, so this study has important academic and practical implications. As a result of the analysis, the negative inconsistency group had the highest degree of dissatisfaction, and the higher the degree of inconsistency, the higher the dissatisfaction. The attributable behavior of unsatisfied consumers had a moderating effect on the degree of dissatisfaction, and the dissatisfaction was significantly higher in the external attributable group than the internal attributable group, which was statistically significant. On the other hand, the persistence of the result had a statistically significant effect on the attribution position, but the controllability of the cause was not. The degree of attributable behavior and dissatisfaction did not affect the type of complaining behavior, showing limited influence. Along with the interpretation of these results, this study presents various implications, especially for small and medium-sized/venture companies that provide new durable products.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.3
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• pp.121-129
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• 2024

The rapid advancement of digital technology and the COVID-19 pandemic have significantly accelerated the growth of online commerce, highlighting the need for support mechanisms that enable small business owners to effectively respond to these market changes. In response, this paper presents a foundational technology leveraging the Online to Offline (O2O) strategy to automatically capture products displayed on retail shelves and utilize these images to create virtual stores. The essence of this research lies in precisely identifying and recognizing the location and names of displayed products, for which a single-class-targeted, lightweight model based on YOLOv8, named ESD-YOLOv8, is proposed. The detected products are identified by their names through feature-point-based technology, equipped with the capability to swiftly update the system by simply adding photos of new products. Through experiments, product name recognition demonstrated an accuracy of 74.0%, and position detection achieved a performance with an F2-Score of 92.8% using only 0.3M parameters. These results confirm that the proposed method possesses high performance and optimized efficiency.