• Journal of Industrial Convergence
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• v.22 no.9
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• pp.103-112
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• 2024

The purpose of this study is to understand the experiences of nurses working in integrated nursing service wards regarding patient safety nursing. To achieve the purpose of this study, data were collected through one-on-one in-depth interviews with nine clinical nurses working in the integrated nursing service ward at E University Hospital from October 1, 2019 to December 22, 2019. A pre-prepared semi-structured questionnaire was used for the interview, and the recordings were transcribed after the interview. Data were analyzed by applying the phenomenological method of Colaizzi. The results of this study reflected the patient safety nursing experience of the study participants, and 123 meaning units were discovered, which were derived into 9 themes and 4 theme clusters. : 'ambivalence of patient safety nursing,' 'pressure related to patient safety incidents,' 'advancement in patient safety through practical experience complementing adherence to principles,' and 'achieving safety nursing together with patients'. In conclusion, Integrated Nursing Service ward have a duality of patient safety, and it is necessary to recognize the need for a patient safety system suitable for integrated nursing service ward.

• Journal of Environmental Science International
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• v.33 no.8
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• pp.575-581
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• 2024

Insect pests are a significant threat to stored crops and can lead to considerable economic losses and reduced crop quality. Traditional pest control methods often involve chemical treatments, which have adverse environmental and health effects. This study evaluated the effectiveness of controlling the environment using LED lighting and plant-derived odor barriers as a dual strategy for insect pest control. The storage environment was altered using LED lights that emitted specific wavelengths (580-585 nm) and by reducing other wavelengths (300-500 nm). This light environment was combined with an insect odor barrier derived from Cinnamomum verum, Illicium verum, and Artemisia annua, and their duel impact on the behavior and frequency of insect pests under real storage conditions was determined. The findings revealed significant changes in the frequencies of various insect orders, indicating differential responses to light wavelengths and odor barriers. Notably, the introduction of an anti-insect light and odor barrier environment reduced Diptera and Hemiptera frequencies, which could potentially reduce pest intrusion. The results underscore the potential use of integrated light and odor barriers as a noninvasive and environmentally friendly approach to pest management. This study identifies the specific wavelengths and odor combinations that effectively deter insect pests and contribute to the development of more efficient and sustainable pest control methods. It also highlights the importance of understanding insect behavior and frequency changes in response to novel deterrent strategies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.8
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• pp.2253-2280
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• 2024

In the upcoming era of transportation, a groundbreaking technology, known as vehicle-to-everything (V2X) communication, is poised to redefine our driving experience and revolutionize traffic management. Real-time and secure communication plays a pivotal role in V2X networks, with the decision-making process being a key factor in establishing communication and determining malicious nodes. The proposed framework utilizes a directed acyclic graph (DAG) to facilitate real-time processing and expedite decision-making. This innovative approach ensures seamless connectivity among vehicles, the surrounding infrastructure, and various entities. To enhance communication efficiency, the entire roadside unit (RSU) region can be subdivided into various sub-regions, allowing RSUs to monitor and govern each sub-region. This strategic approach significantly reduces transaction approval time, thereby improving real-time communication. The framework incorporates a consensus mechanism to ensure robust security, even in the presence of malicious nodes. Recognizing the dynamic nature of V2X networks, the addition and removal of nodes are aligned. Communication latency is minimized through the deployment of computational resources near the data source and leveraging edge computing. This feature provides invaluable recommendations during critical situations that demand swift decision-making. The proposed architecture is further validated using the "veins" simulation tool. Simulation results demonstrate a remarkable success rate exceeding 95%, coupled with a significantly reduced consensus time compared to prevailing methodologies. This comprehensive approach not only addresses the evolving requirements of secure V2X communication but also substantiates practical success through simulation, laying the foundation for a transformative era in transportation.

• Journal of Practical Engineering Education
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• v.16 no.4
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• pp.513-520
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• 2024

This study investigates the changes in teachers' roles as the impact of AI on school education expands. Traditionally, teachers have been responsible for core aspects of classroom instruction, curriculum development, assessment, and feedback. AI can automate these processes, particularly enhancing efficiency through personalized learning. AI also supports complex classroom management tasks such as student tracking, behavior detection, and group activity analysis using integrated camera and microphone systems. However, AI struggles to automate aspects of counseling and interpersonal communication, which are crucial in student life guidance. While direct conversational replacement by AI is challenging, AI can assist teachers by providing data-driven insights and pre-conversation resources. Key competencies required for teachers in the AI era include expertise in advanced instructional methods, dataset analysis, personalized learning facilitation, student and parent counseling, and AI digital literacy. Teachers should collaborate with AI to emphasize creativity, adjust personalized learning paths based on AI-generated datasets, and focus on areas less amenable to AI automation, such as individualized learning and counseling. Essential skills include AI digital literacy and proficiency in understanding and managing student data.

• Journal of Practical Engineering Education
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• v.16 no.4
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• pp.521-527
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• 2024

The COVID-19 pandemic has emphasized the importance of mental health both domestically and internationally. Korea has a high suicide rate, and there is a strong social demand to understand the causes and take measures. In this study, we identified the factors that significantly affect the experience of depression, a leading indicator of mental health. Using data from the 2021 Community Health Survey and KOSIS, we analyzed data at the individual and community level, and found that stress levels, subjective health, and basic living status are key influences. Local health authorities should strengthen mental health for the population, including expanding health education and promotion activities to reduce stress and improve lifestyle, and developing targeted programs for specific groups, such as those living on basic subsistence. They should also work with the central government to strive for comprehensive health care and implement effective mental health policies in harmony with population and family authorities.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.781-795
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• 2024

In recent years, the semiconductor industry has shifted to the nanoscale, gaining importance in various fields. This study analyzes the technology competition among 38 major players in the area of atomic layer deposition (ALD) technology, which plays a pivotal role in the development of nanotechnology in semiconductors. To do so, we analyzed inter-firm, inter-country, and inter-sector competitiveness based on 6,414 ALD patents registered with patent offices in major countries over 21 years. To measure competitiveness, we used two-dimensional patent maps that combine patent indicators such as patent entry time, patent growth rate, patent share, RTA, PII, and PFS indexes, and related patent indicators. The study reveals new facts about patent competition and technology catch-up at the firm, subsector, and country levels, with practical implications.

• Korean Journal of Agricultural Science
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• v.49 no.4
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• pp.801-812
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• 2022

Omics-driven synthetic biology is a multidisciplinary research field that creates new artificial life by employing genetic components, biological devices, and engineering technique based on genetic knowledge and technological expertise. It is also utilized to make valuable biomaterials with limited production via current organisms faster, more efficient, and in huge quantities. As the bioeconomic age begins, and the global synthetic biology market becomes more competitive, investment in research and development (R&D) and associated sectors has grown considerably. By overcoming the constraints of present biotechnologies through the merging of big data and artificial intelligence technologies, huge ripple effects are envisaged in the pharmaceutical, chemical, and energy industries. In agriculture, synthetic biology is being used to solve current agricultural problems and develop sustainable agricultural systems by increasing crop productivity, implementing low-carbon agriculture, and developing plant-based, high-value-added bio-materials such as vaccines for diagnosing and preventing livestock diseases. As international regulatory debates on synthetic biology are now underway, discussions should also take place in our country for the growth of bioindustries and the dissemination of research findings. Furthermore, the system must be improved to facilitate practical application and to enhance the risk evaluation technology and management system.

• Steel and Composite Structures
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• v.52 no.6
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• pp.647-656
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• 2024

This paper discusses the study of concrete composite walls of algorithmic modeling, in which steel tubes are embedded. The load-bearing capacity of STHC composite walls increases with the increase of axial load coefficient, but its ductility decreases. The load-bearing capacity can be improved by increasing the strength of the steel pipes; however, the elasticity of STHC composite walls was found to be slightly reduced. As the shear stress coefficient increases, the load-bearing capacity of STHC composite walls decreases significantly, while the deformation resistance increases. By analyzing actual cases, we demonstrate the effectiveness of the research results in real situations and enhance the persuasiveness of the conclusions. The research results can provide a basis for future research, inspire more explorations on seismic design and construction, and further advance the development of this field. Emphasize the importance of research results, promote interdisciplinary cooperation in the fields of structural engineering, earthquake engineering, and materials science, and improve overall seismic resistance. The emphasis on these aspects will help highlight the practical impact of the research results, further strengthen the conclusions, and promote progress in the design and construction of earthquake-resistant structures. The goals of this work are access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient architecture, sustainable planning and management of human settlements. Simulation results of linear and nonlinear structures show that this method can detect structural parameters and their changes due to damage and unknown disturbances. Therefore, it is believed that with the further development of fuzzy neural network artificial intelligence theory, this goal will be achieved in the near future.

• Journal of Ecology and Environment
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• v.48 no.3
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• pp.343-373
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• 2024

Background: The present study provides valuable insights into the traditional uses of medicinal plants by the inhabitants of the Northern District of the lesser Himalayas in Azad Jammu and Kashmir, Pakistan. The study likely focuses on documenting and preserving the region's indigenous knowledge and practices related to medicinal plants. Ethnobotanical data were collected by interviewing 72 local informants including practitioners, farmers, teachers, and laborers from different localities of District Jhelum Valley. Different quantitative tools were used for the analysis of ethnobotanical data including relative frequency of citation, use value, informant consensus factor, fidelity level, cultural value, practical value, consensus value for plant part, rank order priority, percentage respondent knowledge, economic value and their total value were calculated. Jaccard's index (JI) was used to compare the present knowledge with the previous studies in the same or surrounding areas. Results: A total of 129 species belonging to 111 genera and 63 families were documented along with their ethnobotanical uses. Dominant families based on the number of species include Rosaceae contributing 12 species followed by Asteraceae and Saxifragaceae with 8 species each. The comparative study of the novelty of species and their uses by the JI revealed 13 novel plant species which were not reported earlier from this region. Conclusions: This information is not only important for scientific and ethnobotanical purposes but also for the sustainable management of medicinal plant resources and the potential discovery of new natural medicine. Such studies can help to bridge the gap between traditional and modern medicines and collaboration between traditional healers and health care practitioners.

• Journal of Practical Agriculture & Fisheries Research
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• v.26 no.3
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• pp.53-63
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• 2024

This study analyzes the current status of farming succession among young farmers and reviews policy measures to revitalize farming succession. In order to analyze the current status of farming succession to young farmers, a survey was conducted on 186 graduates of Korea National University of Agriculture and Fisheries who are engaged in farming. According to the analysis results, the respondents' farming succession method had a high proportion of intra-family gift and inheritance (56.5%), and the reason for farming succession was mainly due to lack of farming ability due to aging of parents or grandparents (87.6%). Among the difficulties faced by young farmers in the process of farming succession, it was found that the degree of difficulty was high in securing farmland, lack of investment in facilities and operating funds, lack of legal information on gifts and inheritance, and communication problems with parents. A plan to revitalize farming succession for sustainable agriculture is presented as follows. First of all, we are seeking a way to stably hand over the agricultural base of older farmers to young farmers. Second, it is necessary to seek alternatives for the succession of agricultural assets. Third, policy support is needed to solve the difficulties of farming succession. For example, expanding retirement income support for transferred farmers or strengthening support to promote succession to young farmers. Fourth, it is necessary to build a foundation such as consulting and information provision to solve problems that arise in farming succession within the family. Fifth, there is a need to review an effective farming succession plan by converting the management body into a corporation and distributing decision-making rights.