• Journal of the Korean Society of Radiology
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• v.15 no.2
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• pp.153-158
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• 2021

X-ray image analysis is a very important field to improve the early diagnosis rate and prediction accuracy of periodontal disease. Research on the development and application of artificial intelligence-based algorithms to improve the quality of such dental X-ray images is being widely conducted worldwide. Thus, the aim of this study was to design a super-resolution algorithm for predicting periodontal disease and to evaluate its applicability in dental X-ray images. The super-resolution algorithm was constructed based on the convolution layer and ReLU, and an image obtained by up-sampling a low-resolution image by 2 times was used as an input data. Also, 1,500 dental X-ray data used for deep learning training were used. Quantitative evaluation of images used root mean square error and structural similarity, which are factors that can measure similarity through comparison of two images. In addition, the recently developed no-reference based natural image quality evaluator and blind/referenceless image spatial quality evaluator were additionally analyzed. According to the results, we confirmed that the average similarity and no-reference-based evaluation values were improved by 1.86 and 2.14 times, respectively, compared to the existing bicubic-based upsampling method when the proposed method was used. In conclusion, the super-resolution algorithm for predicting periodontal disease proved useful in dental X-ray images, and it is expected to be highly applicable in various fields in the future.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.23-30
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• 2019

The purpose of this study was to examine job stress, job satisfaction, and turnover intention of the nurses who work at the comprehensive nursing service units in two academic medical institutions that provide healthcare service at the tertiary care level in Korea. A descriptive study was conducted with the nurses by using self-reported questionnaires. We used descriptive statistics to summarize the data and Mann-Whitney U test for group comparison. The mean scores of job stress, job satisfaction, and turnover intention were $89.17{\pm}12.56$, $107.25{\pm}6.85$, $37.19{\pm}4.86$, respectively. Nurses with religion showed more job stress than those without. Nurses with their age below 30 years old had significantly less job satisfaction than those older than 30 years old. Monthly income was significantly associated with turnover intention in our data. The top three sub-category of the job stress were conflict with physicians, patients and their caregivers, and conflicts with others; and those of the job satisfaction were pay and promotion and task requirement. Job stress, job satisfaction, and turnover intention were significantly correlated. In order to reduce turnover intention of nursing professionals in the comprehensive nursing service, job stress related to issues on relationships with patients, their family, health care providers need to be taken into consideration. Policy and administrative support are needed to improve their work environment.

• Journal of Naturopathy
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• v.10 no.2
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• pp.77-85
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• 2021

Background: It is necessary to verify the resilience of the newly improved Kneipp psychotherapy. Purpose: This study assesses whether Kneipp Lebensordnung psychotherapy; KnLP program improves resilience. Methods: The KnLP program, including salutogenesis, logotherapy, meditation, and resilience training, is reorganized in consideration of Korean culture and sentiments. It was conducted 4 times for 25 adults (once a week, 3 hours a time), and data, KRQ-53 (Korean Resilience Quotient-53) measured intervention, before, and after was compared and analyzed. Results: The data for 9 adults were selected to draw reliable analysis, and it concluded that participants' KRQ-53 mean score increased by 14.66 from 191.56 to 206.22 during and after the program. The score increase by factor in resilience training is 5.89 points for self-regulation skills, 4.89 points for in interpersonal skills, and 3.89 points for positive capacity. Conclusions: KnL program improves participants' resilience skill (p<.05), and especially in self-regulation skill. Subsequent studies with more participants are required to achieve statistically significant and generalized results in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.314-323
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• 2019

This study examined the factors affecting clinical practice adaptation to provide basic data for the improvement of clinical practice adaptation for the first year of clinical practice. The subjects were 153 nursing students and medical students in G-do. Data were collected from April 1 to April 30, 2019, and analyzed using a t-test, ANOVA, Pearson correlation coefficient, and multiple regression using IBM SPSS WIN/21.0. The mean of college adjustment, character, interpersonal competence, communicative competence, and clinical practice adaptation was 3.37 points, 3.82, 3.61, 3.56, and 3.54, respectively. Clinical practice adaptation was related to college adjustment, character, interpersonal competence, and communicative competence (p<.001). The most influential factor in clinical practice was interpersonal competence (β=.502, p<.001), followed by department adaptation (β=-.215, p<.001) and college adjustment (β=.174, p=.010), respectively. The explanatory power was 41.1% (F=34.11, p<.001). Therefore, a way to improve interpersonal competence is needed to advance clinical practice adaptation. In the character building program for adjustment to college life, systematic education is needed, including the opportunity to think about and understand oneself, continuous meeting to understand and accept others. In addition, repeated communication training to improve interpersonal competence is needed.

• Korean Journal of Adult Nursing
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• v.13 no.1
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• pp.53-69
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• 2001

As a nursing practice involves nurses'actions in a specific context of health care, this study has focused on exploring the espoused theories in nursing practice within the action science perspectives. Espoused theories are the belief, principles, and rationale expressed by the practitioner as guiding her/his actions in a situation of practice. The data were analysed qualitatively and 25 elements of espoused theories of nursing action were identified and clustered into 6 categories. The 25 elements of espoused theories are as follows: The clinical nurse worked in wholistic and individual nursing, focussed on the patient's needed, comfort and supportive nursing (5 theories of nursing goal); excellent skills, knowledge based, assessment and data collection, explaining, educating or a scientific basis(6 theories of nursing intervention): advocacy, value oriented, treatment, accountability and commitment(4 theories of nursing ethics); human respect, partnership, trust(3 theories of patient-nurse relationship) : knowledgable, accumulated clinical experiences and personally lived experiences, positive perspectives(4 theories of nurse), role of intervention, rewarding, peer relationship(3 theories of situations). The above mentioned espoused theories are similar to that of nursing textbooks which students learned through basic nursing education and almost the same as the Acts ofa Nurse in Korean. However, we are doubtful whether nurses actually do as they think. Therefore, it is recommended to review the theories-in-use in order to find any discrepancies between the espoused theories and the reality of nursing actions.

• Journal of radiological science and technology
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• v.38 no.4
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• pp.375-381
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• 2015

Digital Radiography is a big part of diagnostic radiology. Because uncorrected digital radiography image supported false effect of Patient's health care. We must be manage the correct digital radiography image. Thus, the artifact images can have effect to make a wrong diagnosis. We report types of occurrence by analyzing the artifacts that occurs in digital radiography system. We had collected the artifacts occurred in digital radiography system of general hospital from 2007 to 2014. The collected data had analyzed and then had categorize as the occurred causes. The artifacts could be categorized by hardware artifacts, software artifacts, operating errors, system artifacts, and others. Hardware artifact from a Ghost artifact that is caused by lag effect occurred most frequently. The others cases are the artifacts caused by RF noise and foreign body in equipments. Software artifacts are many different types of reasons. The uncorrected processing artifacts and the image processing error artifacts occurred most frequently. Exposure data recognize (EDR) error artifacts, the processing error of commissural line, and etc., the software artifacts were caused by various reasons. Operating artifacts were caused when the user didn't have the full understanding of the digital medical image system. System artifacts had appeared the error due to DICOM header information and the compression algorithm. The obvious artifacts should be re-examined, and it could result in increasing the exposure dose of the patient. The unclear artifact leads to a wrong diagnosis and added examination. The ability to correctly determine artifact are required. We have to reduce the artifact occurrences by understanding its characteristic and providing sustainable education as well as the maintenance of the equipments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.316-326
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• 2016

The purpose of this research was to develop a self-care application for kidney transplantation patients based on a review of previous literatures and the results of a survey that evaluated the needs of patients. The research proceeded in ADDIE order of analysis, design, development, implementation, and evaluation stages. In the analysis phase, interviews were conducted on over 5 kidney transplantation patients. Moreover, related applications and literatures were reviewed to develop application contents. App-based postoperative self-care program composed of the following: Health teaching, measurement, checklist, views, alarms, and App information. For the evaluation phase, a survey was conducted on 9 experts and 5 patients, using a smartphone application. SPSS/WIN 21.0 program was used for data analysis. Descriptive statistics were used to analyze the validity and suitability of data obtained from experts and users. Content was validated using CVI. Expert assessment of application for the self-care after kidney transplant showed 3.5 out of 4. Patient assessment showed 3.7 out of 4. We determined that a self-care application for patients that underwent kidney transplant is helpful. Moreover, a future study is necessary to test and verify the effects of using this application on self-care and self-care knowledge.

• Journal of the Korean Data and Information Science Society
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• v.23 no.6
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• pp.1145-1154
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• 2012

Recent research has been mostly focused on the differences of prenatal sex hormone could affect the ratio of the lengths of the second to fourth digits (2D:4D) as well as the rate of several physiological characteristics. It has been suggested that digit ratios are thought to be associated with either higher prenatal testosterone levels or greater sensitivity to androgens, or both. However, a study of person with disabilities are rare in Korea. The purpose of this study was to compare patterns of the ratio (2D:4D) of the lengths of the second and fourth digits in persons with disabilities and students without disabilities. Also, we empirically analyze the characteristics of persons with disabilities. We found that finger length ratio (2D:4D) of men with disabilities and student without disabilities were lower than women with disabilities and student without disabilities. Therefore, it could be confirmed that finger length ratio (2D:4D) is sexually dimorphic trait. There were no correlations between finger length ratio (2D:4D) and age group in persons with disabilities. Therefore, as with person without disabilities, the 2D:4D ratio was negatively associated with a growth process of persons with disabilities. Finally, There was no difference correlations between finger length ratio (2D:4D) and level of disability in persons with intellectual disabilities. From this, one possible explanation for this is that if finger length ratio (2D:4D) is related to person with disability then current classification of the level of disability deserves further investigation.

• Journal of Digital Contents Society
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• v.15 no.6
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• pp.663-673
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• 2014

The WBAN technology means a short distance wireless network which provides each device interactive communication by connecting devices inside and outside of body. Standardization on the physical layer, data link layer, network layer and application layer is in progress by IEEE 802.15.6 TG BAN. Wireless body area network is usually configured in energy efficient using sensor and zigbee device due to the power limitation and the characteristics of human body. Wireless sensor network consist of sensor field and sink node. Sensor field are composed a lot of sensor node and sink node collect sensing data. Wireless sensor network has capacity of the self constitution by protocol where placed in large area without fixed position. In this paper, we proposed the efficient addressing scheme for improving the performance of routing algorithm by using ZigBee in WBAN environment. A distributed address allocation scheme used an existing algorithm that has wasted in address space. Therefore proposing x, y and z coordinate axes from divided address space of 16 bit to solve this problems. Each node was reduced not only bitwise but also multi hop using the coordinate axes while routing than Cskip algorithm. I compared the performance between the standard and the proposed mechanism through the numerical analysis. Simulation verified performance about decrease averaging multi hop count that compare proposing algorithm and another. The numerical analysis results show that proposed algorithm reduced the multi hop better than ZigBee distributed address assignment

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.260-268
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• 2016

The objective of this study was to investigate the relationship among the variables and effects of depression and physical activity on fatigue in the elderly with chronic disease. A descriptive research design was employed in this study. In total, 500 elderly patients diagnosed with chronic disease were selected from 3 medical centers for the study. The measurements were used to examine their general characteristics, fatigue, depression, and physical activity. To analyze the data, statistical analyses, including ANOVA, t-test, Scheffe's test, Pearson's correlation coefficient, and hierarchical regression analysis, were conducted for the analysis of the data. The results indicated that the age, gender, and educational level in the first step model explained 6% of the effect on fatigue among the elderly with chronic disease. In addition, depression and physical activity in the second step model explained 16% of the effect on fatigue. These findings demonstrate the significance of (considering) depression and physical activity related to care plans when developing health-programs for decreasing fatigue and planning intervention strategies.