• 기본간호학회지
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• 제26권1호
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• pp.23-31
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• 2019

Purpose: This study was a descriptive survey research to identify the factors that influence sick role behavior compliance in patients on hemodialysis. Methods: Structured surveys were used to collect data from 170 patients who are on hemodialysis three times a week through outpatient care at a university hospital located in G City using tools measuring resilience, family support, and sick role behavior compliance. Data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson's correlation coefficient, and Stepwise multiple linear regression. Results: The results showed that factors that influenced sick role behavior compliance in the subjects were in the order of family support (${\beta}=.27$, p<.001), age (${\beta}=.27$, p<.001), and resilience (${\beta}=.23$, p=.003). Resilience, family support, and sick role behavior compliance were positively correlated. Factors influencing hemodialysis patients' sick role behavior compliance included family support, age, and resilience. These variables explained 30.2% of the variance in sick role behavior compliance. Conclusion: Based on these results, care intervention and the development of a training program that involves family in the treatment plan and process to support and encourage patients are needed to increase the sick role behavior compliance in patients on hemodialysis.

• 대한한의학회지
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• 제40권3호
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• pp.76-86
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• 2019

Objectives: This study aims to assess the Gyenggi-do support project of Korean medical treatment in subfertility in 2018. And we would like to propose a plan to improve the project by analyzing the results of the project. Methods: We got the medical records of 260 participants that personal information was deleted by the association of Korean Medicine in Gyenggi-do. We collected the participants' characteristics, treatment records, results of treatment, laboratory results and satisfaction survey results. We coded the data and analyzed them using SPSS 23 at 5% significance level. Results: After the treatment, 11.0% of participants became pregnant spontaneously. There was no significant change in blood test before and after the treatment and observation period, and there was no adverse event during the project. After the project, the satisfaction survey was conducted. 84.2% of participants answered that they were satisfied with the result of the treatment. Conclusions: We analyzed the results of Gyenggi-do support project of Korean medical treatment for infertile women in 2017 and 2018. This study suggests the effectiveness and safety of Korean medical treatment for infertile women.

• 천문학회보
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• 제43권2호
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• pp.53.2-53.2
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• 2018

We present newly discovered dwarf galaxy candidates in deep and wide-field images of NGC 1291 obtained with KMTNet. Through a visual inspection, we find ~ 13 candidates, for which central surface brightness ranges from ${\mu}_{0,R}{\sim}22.5$ to $26.5mag\;arcsec^{-1}$. Adopting the distance to NGC 1291, the candidate dwarfs are brighter than $M_R=-12.5mag$ and their effective radii range from 350 pc to 1.4 kpc. Structural and photometric properties of dwarf candidates near NGC 1291 appears to be consistent with those of ordinary dwarf galaxies in nearby galaxies. We conduct the imaging simulation in order to find an optimal way to detect dwarf galaxies in KMTNet images and to test the completeness of our detection algorithm. We plan to apply this method to deep KMTNet images of other nearby galaxies obtained through KMTNet Nearby Galaxy Survey (KNGS).

• 천문학회보
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• 제44권1호
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• pp.80.2-80.2
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• 2019

We present newly discovered dwarf galaxy candidates in deep wide-field images of NGC 1291 obtained with KMTNet. We initially identify 20 dwarf galaxy candidates through visual inspection. 13 out of 20 appears to be high priority candidates, according to their central surface brightness (${\mu}_{0,R}{\sim}22.5$ to $26.5mag\;arcsec^{-2}$) and effective radii (350 pc to 1 kpc). Structural and photometric properties of dwarf candidates appear to be consistent with those of ordinary dwarf galaxies in nearby groups and clusters. Using imaging simulations, we demonstrate that our imaging data is complete up to $26mag\;arcsec^{-2}$ with > 70% of the completeness rate. In order to find an optimal way to automate detecting dwarf galaxies in our dataset, we test detection methods by varying parameters in SExtractor. We find that the detection efficiency from the automated method is relatively low and the contamination due to the artifacts is non-negligible. Therefore, it can be only applicable for pre-selection. We plan to conduct the same analysis for deep images of other nearby galaxies obtained through KMTNet Nearby Galaxy Survey (KNGS).

• 대한건축학회논문집:계획계
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• 제33권12호
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• pp.19-28
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• 2017

The purpose of this study is to propose a design methodology to build temporary isolation rooms when infectious diseases suddenly occur in a certain region, such as the case of MERS-Cov in South Korea in 2015. Although most big hospitals usually have isolation rooms, they are expensive and dangerous to run such facilities on normal and typical days. To deal with these problems in this research, shipping containers are chosen as devices used to build the temporary isolation rooms near the original hospital. To do so, firstly, a prototype for the temporary isolation room was designed with the three part modules. The first part is for the medical team; the second part including the isolation rooms is for patients; the third part is for medical selection rooms to test the specimens. Secondly, the plan was compared with the MERS-Cov infection control guidelines. Finally this prototype is applied into the Yong-in Yon-sei severance hospital and then evaluated through a CFD simulation using STAR-CCM+(ver.9.06) for checking infectious bacterium movement in this prototype. The result showed that the prototype is effectively safe for patients tested as negative, patients waiting to be tested, and the medical team.

• 동서간호학연구지
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• 제27권1호
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• pp.78-86
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• 2021

Purpose: The purpose of this study was to understand the correlations between transitional shock, incivility and nursing professionalism among nursing students. Methods: A total of 143 nursing students completed transitional shock, incivility and nursing professionalism, using structured questionnaires. The collected data were analyzed using the t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis. Results: The results showed that nursing professionalism was significantly correlated with gender (β=.20, p=.001), major satisfaction (β=.44, p=.007), clinical practice satisfaction (β=.45, p<.001), transitional shock (β=-.20, p=.012), and incivility experienced (β=-.18, p=.021) among nursing students. Conclusion: It is necessary to develop a plan for reducing individual satisfaction with clinical practice and the transitional shock of nursing students. It ultimately may increase nursing students' nursing professionalism. In addition, a strategy is needed to reduce incivility among nursing students by creating positive educational environment in clinical practice through cooperation between schools and training institutions, and to strengthen desirable nursing professionalism.

• International journal of advanced smart convergence
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• 제9권4호
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• pp.184-191
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• 2020

With the emergence of the 4th Industrial Revolution, core technologies that will lead the 4th Industrial Revolution such as AI (artificial intelligence), big data, and Internet of Things (IOT) are also at the center of the topic of the general public. In particular, there is a growing trend of attempts to present future visions by discovering new models by using them for big data analysis based on data collected in a specific field, and inferring and predicting new values with the models. In order to obtain the reliability and sophistication of statistics as a result of big data analysis, it is necessary to analyze the meaning of each variable, the correlation between the variables, and multicollinearity. If the data is classified differently from the hypothesis test from the beginning, even if the analysis is performed well, unreliable results will be obtained. In other words, prior to big data analysis, it is necessary to ensure that data is well classified according to the purpose of analysis. Therefore, in this study, data is classified using a decision tree technique and a random forest technique among classification analysis, which is a machine learning technique that implements AI technology. And by evaluating the degree of classification of the data, we try to find a way to improve the classification and analysis rate of the data.

• International Journal of Advanced Culture Technology
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• 제9권1호
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• pp.79-88
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• 2021

This study was a cross-sectional descriptive investigative study to analyze the effects of sub-factors of cognitive emotional control on life goals. The subjects of the study were 184 people in their 20s, and they were collected online from December 2020 to January 5, 2021 using structured cognitive control capabilities and life goal questionnaires. The collected data were performed using SPSS 18.0 for Frequency, Independent Sample t-test, Pearson correction analysis, Simple regression analysis, and Multiple regression analysis. According to the study, men had both life-oriented and achievement-oriented life goals higher than women. Among the sub-factors of cognitive emotional control (positive focus change, positive reassessment, expansion of view, re-accept plan, acceptance, rumination, self-criticism, others criticism, and destruction) were male and female were higher in self-criticism. Factors affecting life-oriented life goals have been shown to be expanding views, re-accepting plans, and criticizing others, while positive re-evaluation negatively affects achievement-oriented life goals. Based on these results, life-oriented life-goals tend to exhibit adaptive responses to expand views and revise plans and maladaptive responses to blame others, while achievement-oriented life-goals have the ability to positively reassess situations, modify plans and accept negative reactions.

• Parasites, Hosts and Diseases
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• 제60권4호
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• pp.295-299
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• 2022

Malaria elimination and control require prompt and accurate diagnosis for treatment plan. Since microscopy and rapid diagnostic test (RDT) are not sensitive particularly for diagnosing low parasitemia, highly sensitive diagnostic tools are required for accurate treatment. Molecular diagnosis of malaria is commonly carried out by nested polymerase chain reaction (PCR) targeting 18S rRNA gene, while this technique involves long turnaround time and multiple steps leading to false positive results. To overcome these drawbacks, we compared highly sensitive cytochrome oxidase gene-based single-step multiplex reaction with 18S rRNA nested PCR. Cytochrome oxidase (cox) genes of P. falciparum (cox-III) and P. vivax (cox-I) were compared with 18S rRNA gene nested PCR and microscopy. Cox gene multiplex PCR was found to be highly specific and sensitive, enhancing the detection limit of mixed infections. Cox gene multiplex PCR showed a sensitivity of 100% and a specificity of 97%. This approach can be used as an alternative diagnostic method as it offers higher diagnostic performance and is amenable to high throughput scaling up for a larger sample size at low cost.

• 한국기계가공학회지
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• 제21권8호
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• pp.19-24
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• 2022

We developed a prototype from the design of a trim, which is the most important in the localization development of a 1500 Ib high-differential pressure-control valve used for boiler feedwater, and measured the flow coefficient, the most basic design data for valves. The following conclusions were drawn. The comparison of the design values of the flow coefficients for the existing X-trim and the multicore trim designed for localization development showed that they were almost identical, and the X-trim value was slightly lower. The comparison of the X-trim and multicore trim based on the valve flow coefficient test showed that they were generally similar, indicating no problem with the design. In the future, we plan to compare and analyze the flow paths for the X-trim and multicore trim via flow analysis.