• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.77-84
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• 2022

The aim of this study was to identify the convergence influencing factors on disaster nursing core competencies of nursing students. The subjects of this study surveyed 187 nursing students in D city with a structured self-report questionnaire. Data were analyzed by the SPSS 18.0 program, t-test, ANOVA, correlation and multiple regression. The disaster nursing core competencies average mean score was 3.15(±0.40). Grade and satisfaction of clinical practice were the significant factors related to disaster nursing core competencies in these subjects. Disaster nursing core competencies was positively correlated with disaster perception, disaster attitudes and self-efficacy. The influencing factors on disaster nursing core competencies were self-efficacy(β=0.276), disaster attitudes(β=0.200) and grade(β=0.172). The explanatory power of these variables was 19.1%. Therefore, it is necessary to develop disaster related curriculum and subjects that can improve the disaster nursing core competencies based on the important factors affecting the disaster nursing core competencies.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.177-186
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• 2022

The purpose of this study is to suggest operation plans for library programs in preparation for the post-COVID-19 by analyzing the current status of library programs before and after the outbreak of COVID-19 based on the data of the Seongnam public libraries on the Public Data Portal. So, based on 1,317 data collected through the data purification process for duplicates and errors in the files uploaded by Seongnam City, ①programs' subject & type, ②program target users, ③program operation types(online or offline), ④program operating time & number of days, ⑤characteristics of programs preferred by users etc. were analyzed. As results of the analysis, online programs were not operated at all before COVID-19, but online programs started to be operated in earnest after August 2020. Also, there were many experiential activity lectures for infants and elementary school students in 2019, but reading activity lectures for adults and elementary school students increased in 2020. There were many types of online lectures, such as real-time lectures using online video conferencing programs, YouTube video viewing & live broadcasting, and the use of Naver Band & Cafe.

• Journal of Radiation Protection and Research
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• v.46 no.4
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• pp.204-212
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• 2021

Background: Identification of radioisotopes for plastic scintillation detectors is challenging because their spectra have poor energy resolutions and lack photo peaks. To overcome this weakness, many researchers have conducted radioisotope identification studies using machine learning algorithms; however, the effect of data normalization on radioisotope identification has not been addressed yet. Furthermore, studies on machine learning-based radioisotope identifiers for plastic scintillation detectors are limited. Materials and Methods: In this study, machine learning-based radioisotope identifiers were implemented, and their performances according to data normalization methods were compared. Eight classes of radioisotopes consisting of combinations of ²²Na, ⁶⁰Co, and ¹³⁷Cs, and the background, were defined. The training set was generated by the random sampling technique based on probabilistic density functions acquired by experiments and simulations, and test set was acquired by experiments. Support vector machine (SVM), artificial neural network (ANN), and convolutional neural network (CNN) were implemented as radioisotope identifiers with six data normalization methods, and trained using the generated training set. Results and Discussion: The implemented identifiers were evaluated by test sets acquired by experiments with and without gain shifts to confirm the robustness of the identifiers against the gain shift effect. Among the three machine learning-based radioisotope identifiers, prediction accuracy followed the order SVM > ANN > CNN, while the training time followed the order SVM > ANN > CNN. Conclusion: The prediction accuracy for the combined test sets was highest with the SVM. The CNN exhibited a minimum variation in prediction accuracy for each class, even though it had the lowest prediction accuracy for the combined test sets among three identifiers. The SVM exhibited the highest prediction accuracy for the combined test sets, and its training time was the shortest among three identifiers.

• Korea Journal of Hospital Management
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• v.27 no.2
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• pp.34-43
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• 2022

Objective: Telemedicine service is gaining importance in remote military areas. This study aimed to explore the mediating effect of user satisfaction on the association between military telemedicine service's quality and customer loyalty. Methods: The research data comprised the results of a satisfaction survey on 1,116 military telemedicine satisfaction surveys conducted from November 1 to November 31, 2021. T-tests and ANOVA were analyzed to confirm the difference in satisfaction and loyalty according to the general characteristics of the study subjects. User satisfaction, customer loyalty, and mediating effects were analyzed using multiple linear regression analysis. Results: Among the study subjects, 458 were affiliated with the Army, 68 with the Navy, and 36 with the Air Force. Among the quality of telemedicine service, tangibility, reliability, and empathy affected user satisfaction while reliability and empathy affected customer loyalty. Since the standardized coefficient beta of empathy was 0.150 (P=0.018), it was confirmed that it significantly affected customer loyalty by mediating user satisfaction. Conclusion: The telemedicine service's quality affects users' satisfaction and customer loyalty. Moreover, there was the mediating effect of user satisfaction on the association between telemedicine service and customer loyalty. Therefore, the reliability and reliability of the current telemedicine service can be improved through the replacement of outdated equipment and performance improvement, expansion of medicines in telemedicine units, and improvement of medical services through periodic CS education to increase the customers' satisfaction and loyalty.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.119-125
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• 2022

In the study, we endeavored to investigate the effect of phenylephrine, isoprenaline and prazosin on the tissue-specific vascular contractility and to determine the mechanism involved. There were few reports addressing the question whether thin or thick filament modulation is included in phenylephrine, isoprenaline and prazosin-induced regulation. We hypothesized that isoprenaline and prazosin play a role in tissue-dependent regulation of vascular contractility. Denuded arterial muscles of Sprague-Dawley male rats were suspended in organ baths and isometric tensions were transduced and recorded using isometric transducers and an automatic data acquisition system. Interestingly, sustained continuous contraction of thoracic and abdominal aorta. Furthermore, isoprenaline and prazosin together with phenylephrine inhibited transiently and persistently vasoconstriction of thoracic and abdominal aorta suggesting that additional mechanisms (e.g. decreased receptor density, chemical interaction, postreceptor signaling or distribution of agonists) might be included in the modulation of vascular contractility.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.62-72
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• 2021

The purpose of this study was to identify the influences of the communication capability, the interpersonal relationship satisfaction, and the feeling of self-efficacy of the middle aged men on their psychological feeling of well-being. The survey was performed on 208 employees of 5 ordinary corporations. Data were collected using a structured questionnaires and analysed with t-test, ANOVA, Pearson's correlation and hierarchical regression. Study findings revealed that the factors that had the influences on the psychological well-being of the middle-aged men were the communication ability(β=.23, t=3.07, p=.002) and self-efficacy(β=.44, t=6.91, p=.000). And the explanation power of the regression model appeared as being 59.4%(F=24.30, p=.000). The findings indicate the necessity of developing nursing intervention programs for the middle-aged men to improve psychological well-being by enhancing communication ability and self-efficacy.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.53-61
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• 2021

The purpose of this study was to investigate the menstrual pain, clinical practice stress, and clinical competence and identify influencing factors of clinical competence of 3rd nursing students who start clinical practice for the first tim. The survey was conducted on 155 nursing students from June 1 to October 30, 2020. Data were analyzed using t-test, ANOVA, Scheffe test, Pearson correlation coefficients and multiple regression analysis. The degree of influence menstrual pain was 5.01points, clinical practice stress was 2.82points, clinical competence was 3.42points. Menstrual pain was positive correlated with clinical practice stress(r=.319, p=.000), and menstrual pain was negative correlated with clinical competence(r=-.279, p=.000). Clinical practice stress was negative correlated with clinical competence(r=-.333, p=.005). Menstrual pain was main factor that affects clinical competence. The model explained 25.0% of the variables. Therefore, intervention education is needed to reduce menstrual pain in order to improve the clinical competence of nursing students.

• Journal of Convergence for Information Technology
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• v.11 no.4
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• pp.186-193
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• 2021

Ciona intestinalis and Ciona savignyi have been designated as hazardous species because they have caused great damages as they appeared in ports, ships, and farms in Korea in large amount. Therefore, in terms of using them, the possibility of use as cosmetic ingredients was examined. C. intestinalis and C. savignyi were treated with 70% ethanol to make an extract and then their antioxidant activity was measured. C. intestinalis and C. savignyi showed 71.80% and 21.40% of DPPH at 20mg/mL of extract, respectively. ABTS was 95.47% and 27.53%, while nitric oxide production inhibitory ability was 97.47% and 88.90%, respectively. Total phenol content was 0.081 and 0.041 mg gallic acid/mg extract, respectively. As a result, C. intestinalis showed somewhat higher antioxidant activity than C. savignyi. It is confirmed that these extracts are animal-derived antioxidants that can be used as cosmetic materials.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.32-39
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• 2022

The purpose of this study was to identify job stress, resilience, and nursing performance, and to investigate affecting factors of nursing performance on hospital nurses. The subjects consisted of 141 general hospital nurse in the K city. The variables were measured using questionnaires, analyzed using descriptive statistics, t-test, ANOVA, and multiple regression analysis. The average score of job stress was 44.21±9.15, resilience was 2.86±0.65, and nursing performance was 3.78±0.48. The factors influencing on nursing performance were Total Clinical career, Career in present ward, and resilience. The explanation of nursing performance was 37%. These results suggest that it is necessary to consider these factors at the nursing organizational level to promote nursing performance. Also, it is necessary to construct education program that can enhance resilience and find a strategy to realize it.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.62-70
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• 2022

This study was attempted to understand the effect of university students' psychological well-being and interpersonal competence on their career decision-making self-efficacy. The participants of this study were 154 university students, and data collection was conducted from November 1 to December 10, 2019. The collected data were analyzed using x²-test, t-test, ANOVA, Pearson's correlation coefficients, and stepwise multiple regression. Psychological well-being and interpersonal competence were found to be significant influencing factors on career decision-making self-efficacy and the explanation power was 41.6% (F=66.48, p<.001). When establishing a program that can improve career decision-making self-efficacy of university student, psychological well-being and interpersonal competence, which are factors that affect career decision self-efficacy revealed through the results of this study, should be considered.