• Safety and Health at Work
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• v.14 no.1
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• pp.43-49
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• 2023

Background: Messaging surrounding skin cancer prevention has previously focused on the general public and emphasized how or when activities should be undertaken to reduce solar ultraviolet radiation (UVR) exposure. Generic messages may not be applicable to all settings, and should be tailored to protect unique and/or highly susceptible subpopulations, such as outdoor workers. The primary objective of this study was to develop a set of tailored, practical, harm-reducing sun safety messages that will better support outdoor workers and their employers in reducing the risk of solar UVR exposure and UVR-related occupational illnesses. Methods: We adapted a core set of sun safety messages previously developed for the general population to be more applicable and actionable by outdoor workers and their employers. This study used an integrated knowledge translation approach and a modified Delphi method (which uses a survey-based consensus process) to tailor the established set of sun safety messages for use for outdoor worker populations. Results: The tailored messages were created with a consideration for what is feasible for outdoor workers, and provide users with key facts, recommendations, and tips related to preventing skin cancer, eye damage, and heat stress, specifically when working outdoors. Conclusion: The resulting tailored messages are a set of evidence-based, expert- approved, and stakeholder-workshopped messages that can be used in a variety of work settings as part of an exposure control plan for employers with outdoor workers.

• Land and Housing Review
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• v.14 no.2
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• pp.97-107
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• 2023

This study examined how to better provide quality temporary housing for people in the event of natural and social disasters. Design for Manufacture and Assembly (DfMA) is suitable for creating an efficient planning model for the mass production and transport of a modular house. The proposed DfMA model has the following three characteristics. First is the division of the modular house into service modules and functional modules and to create diversity by developing standard parts and multi-functional parts. Second is a flexible layout suitable for various site conditions. Such flexible layouts would allow identical homes to be mass produced and deployed to a variety of locations, both nationally and internationally. Third is to simplify and minimize the automation process with dry construction to increase production efficiency. Application of this DfMA design method can lead to reduced construction time and cost and improve housing quality.

• Korean Journal of Veterinary Service
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• v.45 no.1
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• pp.55-61
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• 2022

In veterinary medicine, a variety of disease are known to cause coagulation abnormalities. Identification of these coagulation abnormalities have been relied on traditional coagulation assays(platelet concentration, aPTT, PT, D-dimer, fibrinogen) which take only a small part of the coagulation pathways rather than global hemostatic capacity. Among of the hypercoagulable diseases, cardiovascular disease, such as mitral valvular disease, was not regarded as the cause of the hypercoagulability. The value of a thromboelastography (TEG) as an early predictor of coagulopathy, especially hypercoagulability, has been founded. It was associated with decreased R and K values, and increased MA and α angle. The objective of this study was to compare thromboelastography results and those of traditional coagulation tests between twenty adult dogs with mitral insufficiency (MVI group) and eleven adult healthy dogs (Healthy group). As a results, MA values in the patients with mitral insufficiency (68.8±7.8 mm) were significantly higher than the normal patients (60.4±4.8 mm) (P value<0.05). Although a little report has been reported in veterinary medicine, platelet activation seems to be related with hypercoagulability in MVI patients in human medicine. The result of this report can support this pathophysiology in veterinary medicine. In addition to traditional coagulation assay, global assessment of coagulopathy using TEG, especially ability to detect hypercoagulability, may be useful for customized treatment in MVI patients. To achieve this, further study is needed to define pathophysiology and effect of medication.

• Genomics & Informatics
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• v.21 no.1
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• pp.12.1-12.8
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• 2023

A wave of new technologies has created opportunities for the cost-effective generation of high-throughput profiles of biological systems, foreshadowing a "data-driven science" era. The large variety of data available from biological research is also a rich resource that can be used for innovative endeavors. However, we are facing considerable challenges in big data deposition, integration, and translation due to the complexity of biological data and its production at unprecedented exponential rates. To address these problems, in 2020, the Korean government officially announced a national strategy to collect and manage the biological data produced through national R&D fund allocations and provide the collected data to researchers. To this end, the Korea Bioinformation Center (KOBIC) developed a new biological data repository, the Korea BioData Station (K-BDS), for sharing data from individual researchers and research programs to create a data-driven biological study environment. The K-BDS is dedicated to providing free open access to a suite of featured data resources in support of worldwide activities in both academia and industry.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.272-275
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• 2022

Large-scale online platforms such as MOOCs-Massive Open Online Courses, which provide a variety of educational contents, have provided a learning environment that allows students to freely access and learn anytime and anywhere. Currently, the proportion of online lectures and home-based learning is increasing, and portfolio or experience-based learning such as bootcamp, field activities, and team project-based group learning are also being actively carried out for educational outcomes. At present, interest in nano or microdegree focused on core technology in units of hours or credits is increasing significantly because such strategic intensive education enables effective learning in terms of continuity and efficiency of education. In an era of large changes in job market due to the reorganization of the industrial structure by new technologies, intensive education in specialized new technology fields such as smart mobility, big data, and artificial intelligence is much more conducive to finding a job. With this reason it is attracting attention as an alternative to lifelong learning are receiving In this paper we propose an educational platform that can efficiently and effectively support the purpose learning for the personalized microdegree education in the online learning era.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.9-17
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• 2023

Research on virtual assets has been mainly interested in policy preparation or legislation for the introduction of virtual assets, or virtual asset operation technology, but this study presents investment factors that most asset investors consider important when making investment decisions. By doing so, we came up with research results that are practically helpful to virtual asset investors. According to the research results, (1) virtual asset investors consider business models such as marketability and competitive advantage of virtual assets as the most important factors, and (2) are highly interested in factors that can be objectively judged when investing in virtual assets. The results of this study suggest that a virtual asset trading market environment that can provide objective investment information and discover various judgment factors that enable virtual asset investors to objectively judge virtual assets should be prepared, and that virtual asset businesses using core technologies will continue to grow. This suggests that a variety of policy support is needed to enable this.

• Women's Health Nursing
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• v.29 no.3
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• pp.160-178
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• 2023

Purpose: Since technology-based interventions can facilitate convenient access to healthcare for women with breast cancer, it is crucial to understand innovative approaches to maintaining the effectiveness of these interventions. Therefore, we conducted a systematic review of technology-based self-management interventions for women with breast cancer in six countries. We analyzed the characteristics of these interventions and examined their diverse health outcomes. Methods: Six databases were systematically searched to extract research articles using the keywords "breast cancer," "technology," and "self-management." The search was carried out up until June 12, 2023. From the 1,288 studies retrieved from the database search, 10 eligible papers were identified based on inclusion/exclusion criteria. Two authors independently extracted and compared the data from these articles, resolving any discrepancies through discussion. Results: Most of the 10 studies utilized web- or mobile-based technology, and one used artificial intelligence-based technology. Among the 12 health-related outcome variables, quality of life and symptom distress were the most frequently mentioned, appearing in six articles. Furthermore, an analysis of the intervention programs revealed a variety of common constructs and the involvement of managers in the self-management intervention. Conclusion: Incorporating key components such as self-management planning, diary keeping, and communication support in technology-based interventions could significantly improve the self-management process for breast cancer survivors. The practical application of technology has the potential to empower women diagnosed with breast cancer and improve their overall quality of life, by providing timely and sustainable interventions, and by leveraging available resources and tools.

• Human Ecology Research
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• v.62 no.1
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• pp.121-135
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• 2024

By reviewing the cultural and historical literature on persimmon juice dyeing and Galot in Korea and Japan, this study aims to show the similarities and differences between the traditional and eco-friendly persimmon juice dyeing practices of these two countries and suggest a direction for the development of modern Galot. The root of persimmon dyeing in Korea is presumed to have begun around the 13^th or 14^th century; however, no documents or records have been found to support this notion. Meanwhile, there are records of persimmon dyeing in Japan that date back to around the 10^th century, but that fact is rarely mentioned. The historical and folk cultural significance of traditional persimmon dyeing in Japan and Korea was different in terms of the use of persimmon dye and the wearing of Galot. In other words, in Korea, Galot was mainly used as work clothes for farmers and fishermen, who took advantage of the garment's functional strength, while kaki-tannin in Japan was applied to fishing tools and industrial materials. Furthermore, Japanese traditional Galot (Kakigoromo) was worn by monks. This was a remarkable difference in that the garments were used as clothing by a special class within society. There were also differences between the two countries in terms of their use of modern persimmon juice dye and Galot. Korea is currently developing and releasing a variety of modern Galots. Meanwhile, Japan is attempting to develop a feeling of relaxation by using the natural colors of Kakisibu dyeing and applying sophisticated traditional pattern printing techniques to modern Galot.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.163-174
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• 2024

Currently, the urban railway operating agency is improving the emergency telephone in operation into an IP-based "trackside integrated interface communication facility" that can support a variety of additional services in order to quickly respond to emergency situations within the tunnel. This study is based on this Analyze the needs of various stakeholders regarding the design of a system architecture that establishes an IoT sensor network environment to detect abnormal situations in the tunnel and transmits the collected information to the control center to predict disaster situations in advance, and defines the system requirements. In addition, a scenario model for disaster response was provided through the presentation of a service model. Through this, the perspective of responding to urban railway disasters changes from reactive response to proactive prevention, thereby ensuring safe operation of urban railways and preventing major industrial accidents.

• Geomechanics and Engineering
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• v.36 no.5
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• pp.489-509
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• 2024

Slope stability analysis and prediction are of critical importance to geotechnical engineers, given the severe consequences associated with slope failure. This research endeavors to forecast the factor of safety (FOS) for slopes through the implementation of six distinct ML techniques, including back propagation neural networks (BPNN), feed-forward neural networks (FFNN), Takagi-Sugeno fuzzy system (TSF), gene expression programming (GEP), and least-square support vector machine (Ls-SVM). 344 slope cases were analyzed, incorporating a variety of geometric and shear strength parameters measured through the PLAXIS software alongside several loss functions to assess the models' performance. The findings demonstrated that all models produced satisfactory results, with BPNN and GEP models proving to be the most precise, achieving an R² of 0.86 each and MAE and MAPE rates of 0.00012 and 0.00002 and 0.005 and 0.004, respectively. A Pearson correlation and residuals statistical analysis were carried out to examine the importance of each factor in the prediction, revealing that all considered geomechanical features are significantly relevant to slope stability. However, the parameters of friction angle and slope height were found to be the most and least significant, respectively. In addition, to aid in the FOS computation for engineering challenges, a graphical user interface (GUI) for the ML-based techniques was created.