• Journal of Digital Convergence
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• v.20 no.2
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• pp.525-541
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• 2022

This study aimed to develop simulation practice program with PBL (S-PBL) for nursing students and evaluate the effect of the program on their problem solving ability, clinical performance competency, learning satisfaction and confidence. The participants were nursing students who applied for simulation practice courses at an university in J province. The study was a mixed-method design using a nonequivalent one group pretest-posttest design (n=91) and focus group interview (n=12). Quantitative data were analyzed using SPSS 23.0 program and qualitative data thematic analysis. Quantitative data showed S-PBL was effective in improving clinical performance competency, learning satisfaction and confidence of the participants, but not in improving problem solving ability. As a result of the qualitative study, four themes and eight sub-themes were derived, and the themes were "Learn integrated nursing care based on priority", "Experience team cooperation through communication," "Learn vividly critical care" and "Improved nursing competency". The S-PBL could be effective in practical education for nursing students. In further study, it is necessary to develop various simulation practice programs based on PBL through a mixed-method design and apply them to nursing curriculum.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.573-583
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• 2022

This study was attempted to analyze the effect of a note-taking strategy applied to blended learning adult nursing education. Data were collected from September 17 to October 15, 2021, and analyzed using the SPSS/WIN 26.0 program with a single group pre/post design targeting 33 nursing students. As a main result, learning motivation rose from 3.27 before class to 3.40 after class, but there was no significant difference(t=-1.501, p=.143), and class participation significantly increased from 2.95 before class to 3.27 after class(t=-2.669, p=.012). Motivation for learning before class was pre-class participation(r=.838, p<.001), learning motivation after class(r=.545, p=.001), and class participation after class(r=.462, p=.007) and each showed a significant positive correlation. Learning motivation and class participation according to gender(Wilks'𝛌=.866), class interest(Wilks'𝛌=.632), and class satisfaction(Wilks'𝛌=.822) were all higher than the significance level of .05, so they were no significant difference. Based on these results, applying a note-taking strategy to blended learning adult nursing education was effective in improving class participation. In a future study, it is necessary to verify the effectiveness by applying a note-taking strategy customized according to academic achievement.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.499-509
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• 2022

This study was conducted to understand the effect of health assessment practical education on class participation, problem-solving process, academic self-efficacy, and academic achievement of nursing students. This study used a nonequivalent control group pretest-posttest design. The participants were 69 nursing university students located in C city. Data were collected on two separate occasions before and after the application of the program from February 2021 to July 2021. Data were analyzed by chi-square test, independent t-test, and ANCOVA using SPSS WIN 23.0. There were significant differences in class participation(F=15.003, p<.001), academic self-efficacy(F=13.288, p=.001) and academic achievement(F=19.755, p<.001) between the experimental group and the control group. In the problem-solving process, the experimental group was significantly higher than the control group in decision-making(F=6.948, p=.010), applying the solution(F=6.232, p=.015) and evaluation-reflection(F=5.364, p=.024). It is necessary to expand case-based learning to increase the problem-solving process, class participation, academic self-efficacy, and academic achievement of nursing students.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.225-239
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• 2022

This study investigated the effect of digital agriculturalization factors on business performance with the use of financial support as a moderating variable for agricultural firm workers. The factors of digital agriculture were divided into digital technology innovation orientation, administration innovation orientation, healthiness of ecosystem and entrepreneurship orientation, and business performance was set as a dependent variable. 212 questionnaires collected from workers in agricultural businesses located across the country were used for empirical analysis. Analysis results using SPSS v22.0 and Process macro v3.4 are as follows: First, digital technology innovation orientation, administration innovation orientation, and entrepreneurship orientation have a significant effect on business performance, and the effect of ecosystem health on business performance is appeared to be insignificant. Second, the use of financial support was found to significantly moderating the relationship between digital technology innovation orientation and business performance, entrepreneurship orientation and business performance. On the other hand, it was found that the relationship between operational innovation orientation, business performance, and healthiness of ecosystem and business performance were not significantly moderated In addition, as a follow-up study, a study on the mediation model formed by the discovery of mediators and a study for a moderated mediation analysis through a conditional process model with additional mediators are required.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.1
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• pp.77-100
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• 2022

In the era of low growth, many provincial cities are experiencing population decline and aging. Population decline phenomena such as reduction of productive manpower, reduction of finances, deterioration of quality of life, and collapse of the community base are occurring in a chain and are being pushed to the brink of extinction of the cities. This study aims to propose a methodology to objectively estimate the employment creation centers and setting the basic unit of industrial-centered zoning by applying spatial statistical techniques and GIS for the application of the compact city plan as an efficient spatial management policy in a city with a declining population. In details, based on reviewing previous studies on compact city, 'employment complex index(ECI)' were defined considering the number of workers, the number of settlers, and the area of development land, the employment creation center was estimated by applying the 'Local Moran's I' and 'Getis-Ord's Hot-Spot Analysis'. As a case study, changes in the four years of 2013, 2015, 2017, and 2019 were compared and analyzed for Changwon City. As a result, it was confirmed that the employment creation center is becoming compacted and polycentric, which is a significant result that reflects the actual situation well. This results provide the basic data for functional and institutional territorial governance for the regional revitalization platform, and provide meaningful information necessary for spatial policy decision-making, such as population reduction, regional gross domestic product, and public facility arrangement that can respond to energy savings, transportation plans, and medical and health plans.

• Journal of the Korean Society of Radiology
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• v.17 no.1
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• pp.53-62
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• 2023

The purpose of this study is to find an optimized imaging technique and evaluate its usefulness by comparing and analyzing the difference in contrast enhancement of lower extremity artery according to the patient's heart rate during lower extremity Computed Tomography Angiography examination. From January 2022 to August 22nd, 139 outpatients who visited Ajou University Hospital and underwent lower extremity angio CT examination were targeted. According to the heart rate, the groups were divided into four groups: A(HR ≤65), B(65 < HR < 80), C(80≤ HR). In addition, among patients with a heart rate of 65 or less, the heart rate was considered, and the scan was divided into D, E, F group with a delay time. The time of arrival of contrast medium and the average value of contrast enhancement were compared and analyzed. As a result of quantitative evaluation, B and C groups with a heart rate of more than 65 times had better HU values in the popliteal artery than A group (HR ≤ 65), and D group showed better HU improvement effects compared to A group (p<0.001). The comparative analysis with other groups was insignificant. The difference in heart rate affected the angiographic intensity of the lower extremities artery. Therefore, it is effective to apply the appropriate test timing for each patient by using the heart rate during the lower extremity angio CT Scan.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.163-180
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• 2022

Real estate data can be big data. Because the amount of real estate data is growing rapidly and real estate data interacts with various fields such as the economy, law, and crowd psychology, yet is structured with complex data layers. The existing Relational Database tends to show difficulty in handling various relationships for managing real estate big data, because it has a fixed schema and is only vertically extendable. In order to improve such limitations, this study constructs the real estate data in a Graph Database and verifies its usefulness. For the research method, we modeled various real estate data on MySQL, one of the most widely used Relational Databases, and Neo4j, one of the most widely used Graph Databases. Then, we collected real estate questions used in real life and selected 9 different questions to compare the query times on each Database. As a result, Neo4j showed constant performance even in queries with multiple JOIN statements with inferences to various relationships, whereas MySQL showed a rapid increase in its performance. According to this result, we have found out that a Graph Database such as Neo4j is more efficient for real estate big data with various relationships. We expect to use the real estate Graph Database in predicting real estate price factors and inquiring AI speakers for real estate.

• The Korea Journal of Herbology
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• v.35 no.1
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• pp.35-44
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• 2020

Objectives : The objective of this study was to investigate the therapeutic effect of Corni Fructus 30% ethanol extract (CFE) on the monosodium iodoacetate (MIA)-induced osteoarthritis rats. Methods : The subjects were divided into 4 groups ; Normal group (N, n=10), MIA-induced osteoarthritis control group (Con, n=10), indomethacin 5 mg/kg treated group (INDO, n=10), CFE 200 mg/kg treated group (CFE, n=10). Blood and articulation tissues were collected after two weeks of drug administration. Oxidative stress was analyzed with reactive oxygen species (ROS), peroxynitrite (ONOO-). And the Nuclear factor erythroid-2 (Nrf2), heme oxygenase-1 (HO-1), superoxide dismutase (SOD), catalase, glutathione peroxidase-1/2 (GPx-1/2), Nuclear Factor Kappa B p65 (NF-κBp65), cyclooxygenase-2 (COX-2), inducible nitric oxide synthase (iNOS), tumor necrosis factor-alpha (TNFα), interleukin-6 (IL-6), Interleukin 1β (IL-1β), matrix metalloproteinase-1 (MMP-1), and tissue inhibitor of metalloproteinases-1 (TIMP-1) were investigated by western blot. Results : The administration of CFE showed a significant reduction of changes in relative hind paw weight distribution. Reactive oxygen species (ROS) and peroxy nitrite (ONOO-) levels of articulation tissues were significantly decreased in CFE compared to the control group. Western blot measurements of Nrf2, HO-1, SOD, catalase, GPx-1/2 showed that the CFE group was increased compared to the Con group. And western blot measurements of NF-κBp65, COX-2, iNOS, TNFα, IL-6, IL-1β showed that the CFE group was reduced compared to the Con group. Also CFE group decreased MMP-1 and increased TIMP-1. Conclusion : Based on the above results, it can be seen that osteoarthritis is improved when Corni Fructus 30% ethanol extract treated.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.34 no.4
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• pp.109-118
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• 2022

The data of the missing section among the vertex surface sea temperature observation data was imputed using the Bidirectional Recurrent Neural Network(BiRNN). Among artificial intelligence techniques, Recurrent Neural Networks (RNNs), which are commonly used for time series data, only estimate in the direction of time flow or in the reverse direction to the missing estimation position, so the estimation performance is poor in the long-term missing section. On the other hand, in this study, estimation performance can be improved even for long-term missing data by estimating in both directions before and after the missing section. Also, by using all available data around the observation point (sea surface temperature, temperature, wind field, atmospheric pressure, humidity), the imputation performance was further improved by estimating the imputation data from these correlations together. For performance verification, a statistical model, Multivariate Imputation by Chained Equations (MICE), a machine learning-based Random Forest model, and an RNN model using Long Short-Term Memory (LSTM) were compared. For imputation of long-term missing for 7 days, the average accuracy of the BiRNN/statistical models is 70.8%/61.2%, respectively, and the average error is 0.28 degrees/0.44 degrees, respectively, so the BiRNN model performs better than other models. By applying a temporal decay factor representing the missing pattern, it is judged that the BiRNN technique has better imputation performance than the existing method as the missing section becomes longer.

• Therapeutic Science for Rehabilitation
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• v.11 no.3
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• pp.37-50
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• 2022

Objective : This study aimed to investigate the use of electromyography (EMG) to evaluate upper limb movement or function in stroke patients. Methods : We reviewed papers published in journals between January 2018 and December 2021 using PubMed, EMBASE, Scopus, RISS, and KISS. The main keywords of databases were ('stroke' OR 'hemiplegia') AND ('EMG' OR 'electromyography' OR 'electromyogram' OR 'muscle activity') AND ('Upper limb' OR 'Hand'). Results : Fifteen studies were selected, most of which evaluated muscle activity. Interventions performing tasks related to activities of daily living (ADLs), using assistive technology, and interventions that provide repetitive training were most frequently applied. Conclusions : When evaluating upper limb functions using electromyography, it is meaningful to present an evaluation that can be used according to the purpose of the study and to provide a basis for setting up interventions that can utilize electromyography during evaluation.