• Journal of Korean Clinical Nursing Research
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• v.27 no.1
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• pp.98-108
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• 2021

Purpose: This study was conducted to identify the factors influencing the posttraumatic growth (PTG) in patients with lung cancer and to provide basic data for nursing intervention development to improve PTG and adaptation. Methods: The study included 126 non-small cell lung cancer patients initially diagnosed at the Lung Cancer Center, C University Hospital in S city, Gyeonggi-do. Patients were asked to complete a questionnaire consisting of demographic characteristics, disease characteristics, posttraumatic growth, cancer coping, social support, and resilience. Data were analyzed using t-tests, ANOVA, and Pearson's correlation and multiple regression analysis. Results: The mean score for PTG in lung cancer patients was 56.39, cancer coping was 61.31, social support was 61.09, and resilience was 92.77. Significant positive correlations were found for PTG and cancer coping (r=.75, p<.001), social support (r=.52, p<.001) and resilience (r=.63, p<.001). Factors contributing to PTG of lung cancer patients were cancer coping (β=.53 p<.001), perceived health status(β=.20, p=.002), resilience (β=.21, p=.010) and importance of religion (β=.15, p=.013). This model explained about 64.0% of variances of PTG (F=29.58, p<.001). Conclusion: It is necessary to develop new nursing intervention programs to improve PTG for patients with lung cancer based on strategies to enhance coping and resilience to recovery. Longitudinal studies examining temporal changes in PTG among patients with lung cancer are suggested for future studies in this regard.

• Journal of the Korean Dietetic Association
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• v.28 no.3
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• pp.205-217
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• 2022

School meals are prepared based using the HACCP system, which is designed to ensure the physical and mental health of students. However, operational recommendations in school cafeterias have changed due to COVID-19 and include delays in serving time to restrict the number of meals and the installation of screens to prevent droplet transmission. Unfortunately, these changes may have detrimentally affected hygiene practices and generated new food poisoning sources. This study aimed to determine the hygiene state of school cafeterias in the Gyeongnam area from December 2020 to September 2021 based on the monitoring of total aerobic and coliform bacteria. Kitchen floors were the most contaminated areas with an average number of total aerobic bacteria of 4.3 log CFU/100 cm², whereas counts in dining areas were relatively low at 0.1~3.5 log CFU/100 cm². Newly installed partitioned areas had the lowest contamination level of 0.1~2.8 log CFU/100 cm². Escherichia coli was not detected on any surface, while coliform was detected on workbenches and floors. In conclusion, hygienic practices appear to have been adequately managed in school cafeterias despite COVID-19 driven changes. Nonetheless, continuous monitoring is recommended to ensure prompt response to changing environments.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.168-175
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• 2021

This study was conducted to survey the learners' satisfaction with the online head and neck anatomy class and obtain basic data for the purpose of possibly making continuing online class educationally more effective. A Google Forms survey was conducted with dental hygiene students, and 120 copies of the questionnaire were used as data for the final analysis. The study surveyed when they take on online classes and the types of online classes and had the respondents subjectively evaluate their own understanding of the classes and their academic achievements through them. The biggest influence on learning immersion was academic achievement and the biggest influence on the satisfaction with online class was the students' understanding of the class. It is hoped that the research results will shed light on the directions for designing new curriculums in anatomy in this era of a pandemic.

• Asian Journal of Innovation and Policy
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• v.10 no.1
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• pp.108-131
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• 2021

The increase of international trade across countries and borders results in increased risks associated with the inflow of new pests and diseases. These risks are likely to be increased more rapidly due to climate change. Some countries implement strict regulations on imports to prevent these risks and protect biosecurity, food safety, and public health. However, the problems arise when the diseases and pests are found in a country where their economic structure largely depends on agricultural exports and cause ripple effects on other industries and ecosystems. Therefore, establishing an effective quarantine system is essential to protect and recover from the damage caused by non-native diseases and pests. This study's objectives are 1) analyzing the agricultural policies relate to the quarantine system on diseases and pests in Korea, 2) evaluating the Korea plant quarantine system's value, and 3) simulating plant quarantine policy strategies. We estimated the Korean quarantine system's benefits on diseases and pests to reach these objectives. The benefits are measured with a willingness to pay from respondents surveyed by the contingent valuation method (CVM). The CVM approach directly asks people how much they would willingly pay for food security. Finally, the Korean quarantine system's values are simulated with several policy scenarios and different scales of infection at the regional level. The results of this study can deliver policy implications on the quarantine system innovation in developing countries including Asia.

• Journal of Marine Bioscience and Biotechnology
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• v.14 no.2
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• pp.133-142
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• 2022

The increased production and consumption of polyethylene terephthalate (PET)-based products over the past several decades has resulted in the discharge of countless tons of PET waste into the marine environment. PET microparticles resulting from the physical erosion of general PET wastes end up in the ocean and pose a threat to the marine biosphere and human health, necessitating the development of new technologies for recycling and upcycling. Notably, enzyme-mediated PET degradation is an appealing option due to its eco-friendly and energy-saving characteristics. PETase, a PET-hydrolyzing enzyme originating from Ideonella sakaiensis, is one of the most thoroughly researched biological catalysts. However, the industrial application of PETase-mediated PET recycling is limited due to the low stability and poor reusability of the enzyme. Here we developed the whole-cell catalyst (WCC) in which functional PETase is attached to the outer membrane of Escherichia coli. Immunoassays are used to identify the surface-expressed PETase, and we demonstrated that the WCC degraded PET microparticles most efficiently at 30℃ and pH 9 without agitation. Furthermore, the WCC increased the PET-degrading activity in a concentration-dependent manner, surpassing the limited activity of soluble PETase above 100 nM. Finally, we demonstrated that the WCC could be recycled up to three times.

• Journal of Industrial Convergence
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• v.21 no.4
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• pp.91-100
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• 2023

This study was conducted to identify the effect of motive for major selection, major satisfaction on the nursing career commitment among senior nursing students. Data were collected from 215 nursing students and analyzed using t-test, ANOVA, Scheffé test, Pearson correlation analysis, and multiple regression analysis by SPSS ver. 29.0. As a result of this study, There were positive correlations between motive for major selection(r=.41, p<.001), major satisfaction(r=.35, p<.001), and nursing career commitment. The predictor on nursing career commitment was motive for major selection, explaining 39.4% (F=18.40, p<.001) of the variance. In conclusion, Through this study we found that motive for major selection has the greatest impact on nursing career commitment, it is necessary to seek educational new programs and curricula to develop nursing student's nursing career commitment.

• Smart Structures and Systems
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• v.31 no.5
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• pp.485-500
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• 2023

Machine learning-based structural health monitoring (ML-based SHM) methods are researched extensively in the recent decade due to the availability of advanced information and sensing technology. ML methods are well-known for their pattern recognition capability for complex problems. However, the main obstacle of ML-based SHM is that it often requires pre-collected historical data for model training. In most actual scenarios, damage presence can be detected using the unsupervised learning method through anomaly detection, but to further identify the damage types would require prior knowledge or historical events as references. This creates the cold-start problem, especially for new and unobserved structures. Modal-based methods identify damages based on the changes in the structural global properties but often require dense measurements for accurate results. Therefore, a two-stage hybrid modal-machine learning damage detection scheme is proposed. The first stage detects damage presence using Principal Component Analysis-Frequency Response Function (PCA-FRF) in an unsupervised manner, whereas the second stage further identifies the damage. To solve the cold-start problem, mode shape assessment using the first mode is initiated when no trained model is available yet in the second stage. The damage identified by the modal-based method would be stored for future training. This work highlights the performance of the scheme in alleviating the cold-start issue as it transitions through different phases, starting from zero damage sample available. Results showed that single and multiple damages can be identified at an acceptable accuracy level even when training samples are limited.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.2
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• pp.35-44
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• 2016

MICE industry is emerging as a new growth engine recently. Most of the domestic MICE events are carried out at low cost on a small scale. The event organizers want to cut down on costs of prints such as brochures and other promotional printed materials, as well as the personnel costs for the simple guide job needed on site, which are generated repeatedly and wastefully. The existing mobile web has a defect that the participants can't easily earn the information in the fixed menu, but have to search by themselves wasting lots of time. Therefore, it is necessary to develop the solution enables providing information efficiently at low cost for short-term use during the events. In this study, we implemented specific total management system for exhibitions and convention using beacon. The information system for exhibitions and events using beacon can raise the management efficiency, and the digital brochure function based on CMS heightens the information retrieval ability and also reduces costs. Organizers can manage their event efficiently in a small exhibition and convention event by running an online website and operate a site management system by them selves.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.2
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• pp.311-319
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• 2017

Recently invasion of privacy problem in medical information have been issued following the interest in secondary use of large medical information. These large medical information is very useful information that can be used in various fields such as disease research and prevention. However, due to the privacy laws such as Privacy Act and Medical Law, these informations including patients or health professionals' personal information are difficult to utilize secondary. Accordingly, various methods such as k-anonymity, l-diversity and differential-privacy that can be utilized while protecting privacy have been developed and utilized in this field. In this paper, we study differential privacy processing procedure, one of various methods, and find out about the differential privacy problem using Laplace noise. Finally, we propose a new method using the Shamir's secret sharing method and symemetric key encryption algorithm such as AES for this problem.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.483-486
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• 2021

With the explosive increase in data, the 'big data era' has arrived, focusing on deriving new values and insights through data. With the development of data analysis technology, the importance of data analysis and utilization in the field of diagnosis and treatment as well as prevention is expanding, while the use of big data is emerging in the healthcare field. Moreover, as the three data-related laws (Personal Information Protection Act, Information and Communication Network Act, and Credit Information Act) were passed in January 2020, it became possible to use a wide range of big data through pseudonym information. However, the use of healthcare big data is still struggling due to various policies and regulations, inconsistent data quality, and the absence of specialized personnel. Therefore, in this study, examines the current state of use of big data in the healthcare field, and analyzes the challenges, overseas cases, plans, and expected effects for activation of healthcare big data.