• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.294-303
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• 2017

As the elderly population increases, the prevalence of various geriatric chronic diseases and dementia diseases is also rapidly increasing; accordingly, dementia is becoming a major concern of our society. In this study, 48 elderly patients with mild cognitive impairment located in K district were selected from a group of experimental groups in one building and a control group in one building and evaluated for blood homocysteine levels and cognitive function changes after 4,8, and 12 weeks of taking vitamin supplements. The Chi-squared test, Fisher's Exact test, independent t-test, repeated measures ANOVA, contrast test, repeated measures ANCOVA, and Wilks' lambda test were utilized to analyze the data. The results revealed that the cognitive function of the experimental group was significantly higher than that of the control group at 12 weeks (p<0.05), and so, the experimental group higher than that of the control group (p<0.01), the effect of taking vitamins was significantly increased, indicating that homocysteine was decreased relative to the control group. Therefore, vitamin supplements may prevent decreases in cognitive functions and dementia among elderly patients with mild cognitive impairment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.100-111
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• 2019

This study was undertaken to recommend a dementia education program for college students, and to understand the outcome on knowledge and attitude towards dementia, awareness of aged support, and cognitive-affective empathy. Totally, 40 college students in C city, K do, were enrolled for the study, and divided into two groups of 20 each: experimental group and control group. The experimental group subjects were provided a 12-hour dementia education program; effectiveness of this program has been verified in later studies. Data were collected from November 5, 2018 to December 7, 2018; collection was before, after, and 4 weeks after the program was provided to the experimental group. Control group data were also collected in the same time frame. Data analysis was done using IBM SPSS WIN/21.0, and the percentage, mean and standard deviation were analyzed using Shapiro-Wilks test, $x^2$-test, Fisher's exact probability test, Independent t-test, Friedman test, Mann-Whitney U and Repeated Measure ANOVA. Knowledge of dementia (F=19.80, p<0.001), attitude toward dementia (z=-4.10, p<0.001), and awareness of aged support (F=6.26, p=0.017) had a significant interaction between group and time; however, cognitive-affective empathy showed no correlation (F=1.32, p<0.256). We therefore suggest strengthening the contents of future education program for dementia, developing a customized program for cognitive-affective empathy by considering subject characteristics, and further research verifying the effectiveness of the program.

• The Journal of Korean Physical Therapy
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• v.31 no.1
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• pp.31-34
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• 2019

Purpose: This study examined the effects of the fascial distortion model (FDM) method on Cobb's angle. Methods: Fourteen subjects participated in this study. The idiopathic scoliosis group performed FDM treatments eight times in four weeks. A Shapiro-Wilks test was used to verify the normality of a group of idiopathic scoliosis patients. A paired t-test was performed to determine the satisfaction with the normality. Results: The difference in Cobb's angle was reduced significantly (p<0.05) by an average of $5.72^{\circ}{\pm}2.24$ from $15.51^{\circ}{\pm}1.81$ before the experiment. Conclusion: This study found that the use of the FDM method was effective in improving the Cobb's angle. The application of a FDM treatment appears to stabilize the fascia with decreased ability to adapt physiologically. The application of the CD and TB method of FDM treatment improved the asymmetry spine by dispersing moisture in fascia and improving the contraction and relaxation ability. The results suggest that the Cobb's angle is reduced when FDM is applied, thereby preventing the progression of curvature and avoiding psychological and physical problems that can arise from improving patients with scoliosis.

• The Journal of Advanced Prosthodontics
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• v.14 no.6
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• pp.388-398
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• 2022

PURPOSE. This in vitro study aimed to evaluate the accuracy of 14 different intraoral scanners for the All-on-4 treatment concept. MATERIALS AND METHODS. Four implants were placed in regions 13, 16, 23, and 26 of an edentulous maxillary model that was poured with scannable Type 4 gypsum to imitate the All-on-4 concept. The cast was scanned 10 times for each of 14 intraoral scanners (Primescan, iTero 2, iTero 5D, Virtuo Vivo, Trios 3, Trios 4, CS3600, CS3700, Emerald, Emerald S, Medit i500, BenQ BIS-I, Heron IOS, and Aadva IOS 100P) after the polyether ether ketone scanbody was placed. For the control group, the gypsum model was scanned 10 times with an industrial scanner. The first of the 10 virtual models obtained from the industrial model was chosen as the reference model. For trueness, the data of the 14 dental scanners were superimposed with the reference model; for precision, the data of all 14 scanners were superimposed within the groups. Statistical analyses were performed using the Kolmogorov-Smirnov, Shapiro-Wilks, and Dunn's tests. RESULTS. Primescan showed the highest trueness and precision values (P < .005), followed by the iTero 5D scanner (P < .005). CONCLUSION. Some of these digital scanners can be used to make impressions within the All-on-4 concept. However, the possibility of data loss due to artifacts, reflections, and the inability to combine the data should be considered.

• Journal of the Korean Society of Systems Engineering
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• v.19 no.2
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• pp.18-31
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• 2023

Exploring artificial intelligence and machine learning for nuclear safety has witnessed increased interest in recent years. To contribute to this area of research, a machine learning model capable of accurately predicting nuclear power plant response with minimal computational cost is proposed. To develop a robust machine learning model, the Best Estimate Plus Uncertainty (BEPU) approach was used to generate a database to train three models and select the best of the three. The BEPU analysis was performed by coupling Dakota platform with the best estimate thermal hydraulics code RELAP/SCDAPSIM/MOD 3.4. The Code Scaling Applicability and Uncertainty approach was adopted, along with Wilks' theorem to obtain a statistically representative sample that satisfies the USNRC 95/95 rule with 95% probability and 95% confidence level. The generated database was used to train three models based on Recurrent Neural Networks; specifically, Long Short-Term Memory, Gated Recurrent Unit, and a hybrid model with Long Short-Term Memory coupled to Convolutional Neural Network. In this paper, the System Engineering approach was utilized to identify requirements, stakeholders, and functional and physical architecture to develop this project and ensure success in verification and validation activities necessary to ensure the efficient development of ML meta-models capable of predicting of the nuclear power plant response.

• Nuclear Engineering and Technology
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• v.56 no.6
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• pp.2266-2273
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• 2024

A machine learning platform is proposed for the diagnosis of a severe accident progression in a nuclear power plant. To predict the key parameters for accident management including lost signals, a long short term memory (LSTM) network is proposed, where multiple accident scenarios are used for training. Training and test data were produced by MELCOR simulation of the Fukushima Daiichi Nuclear Power Plant (FDNPP) accident at unit 3. Feature variables were selected among plant parameters, where the importance ranking was determined by a recursive feature elimination technique using RandomForestRegressor. To answer the question of whether a reduced order ML model could predict the complex transient response, we performed a systematic sensitivity study for the choices of target variables, the combination of training and test data, the number of feature variables, and the number of neurons to evaluate the performance of the proposed ML platform. The number of sensitivity cases was chosen to guarantee a 95 % tolerance limit with a 95 % confidence level based on Wilks' formula to quantify the uncertainty of predictions. The results of investigations indicate that the proposed ML platform consistently predicts the target variable. The median and mean predictions were close to the true value.

• Nuclear Engineering and Technology
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• v.56 no.8
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• pp.3097-3111
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• 2024

Since the level 2 PSA of OPR-1000 was the requirement for regulatory purposes, Cs-137 release estimation was contained as the Nuclear Safety Act of ROK in which the Cs-137 release frequency exceeding 100 TBq was determined to happen less than 1.0E-6 per year after the Fukushima Daiichi Accident. However, Cs-137 release estimation from the conventional level 2 PSA of OPR-1000 provided uncertainty due to dominant accident sequence consideration. Thus, this study aimed to develop systematic methods through the overall framework to quantify realistic uncertainty concerns of radioactive material release using sensitivity and uncertainty analysis methods and apply them to OPR-1000. This framework helped to quantify confidential value for the Cs-137 release under the BEPU approach using both parametric and non-parametric methods to cover both realistic and conservative points. Uncertainty propagation analysis showed the unexpected uncertainty increase of Cs-137 release exceeding 100 TBq. The non-parametric uncertainty analysis provided higher conservative concerns for safety than the realistic concerns in terms of economics when compared with the parametric uncertainty analysis. Wilks' uncertainty analysis showed the importance to consider conservative Cs-137 release in order to reach the higher safety need. Sensitivity analysis showed reasonable relationships between engineering safety parameters with the Cs-137 release.

• Korean Journal of Adult Nursing
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• v.14 no.1
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• pp.73-82
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• 2002

The purpose of this study was to test the fitness and explainable power of TPB-SE model to the behavior of breast self examination and it was to examine effectiveness of education for Intention and behavior of breast self examination. The subjects were 122 womens under baby sitting teachers' training programs at "S"college on Po Hang city, Kyung Pook province from May 10, 1998 through October 17, 1998. Among 122 subjects, 61 were placed in experimental group and 61 in control group. The experimental group was treated by researcher who administered booklet, slide and breast model. Collected data were analyzed through $X^2$-test, t-test, MANOVA, ANCOVA, Pearson correlation coefficient via SPSS/PC and applied LISREL 8.0 programs to test TPB-SE model. The result of this study was summarized as follows: 1. TPB-SE model with additions of self efficacy from TPB fits well for predictive factors of behavior of breast self examination and it also fits well for data (GFI=.91, $R^2$=.45). 2. Behavior score of breast self examination in the experimental group with already educated with breast self examination was significantly higher than that of control group (Wilks's value=.711, p=000). Through the results of this study, TPB-SE model with additions of self efficacy from TPB fits well for predictive factors of behavior of breast self examination and the education of breast self examination was effective to improving intention and behavior of breast self examination. I herewith reached final conclusions that the behavior of breast self examination should be regarded as one of health behavior for all women and the health education to women for breast self examination will be important job role for all nurses. In addition to above, the intervention through effective education designed for improving attitude, subjective norm, perceived control, self efficacy and intentions will be necessary step for any improvement of women' health behavior.

• The korean journal of orthodontics
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• v.25 no.6 s.53
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• pp.665-674
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• 1995

The purpose of this study is to investigate the cephalometric characteristics of the open-bite patients with DJD of TMJ. The DJD open-bite cases were compared with normal samples and Class II open-bite cases with normal TMJ respectively. Twenty three open-bite patients with bilateral DJD of TMJ($13.9\~35.3$ yens old, Group I) were selected from the Department of Orthodontics, SNUDH. Group ll consisted of thirteen Class II open-bite cases($13.2\~27.4$ years old) with no TMD signs/symtoms and good condylar shapes. Group III samples were the forty eight healthy dental students who have Class I molar relationships with no history of orthodontic treatment, good facial balance and no TMD symptoms($20.0\~26.8$ years old). First, sixty measurements in the lateral cephalometric radiographs and analysis of variance(P<0.05, Scheffe) were used to compare these three groups. The seven measurements showed significant difference(p<0.05) between Group I and Group II. After analysis of variance, six of them were used for the discriminant analysis(Wilks' stepwise analysis) and the discrminant function for Group I/Group II was obtained. The results and conclusions were as follows : In most of the measurments, Group I and Group II showed the same skeletal and dental characteristics. But seven of the sixty measurements(FH-PP angle, SNB, FH-ArGo angle, articulare angle, genial angle, upper gonial angle and Ar-Go length) were significantly different(p<0.05) between Group I and Group II. These differences may be explained by the fact that in DJD cases the mandible rotated backward due to the shortening of the ramus following the degenerative destruction of condylar head and its surrounding structures. The resulting discriminant function was : $D={-0.120X}_1+{0.066X}_2+{0.144X}_3-{0.058X}_4+2000,\;where\;X_1=ArGo\;length(mm),\;X_2=SArGo\;angle(degree),\;X_3=FH-PP\;angle(degree),\;X_4=Gonial\;angle(degree)$. Mean of the group centroids was -0.555 and percent of the 'grouped' cases correctly classified was $88.89\%$.

• Journal of Korean Academy of Nursing
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• v.29 no.3
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• pp.585-595
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• 1999

The purpose of this study was to examine the predictors of burnout among informal caregivers of older adults. One hundred thirty seven caregivers who had provided care to older adults over 60 years of age for more than one month were included in the study. Most of the caregivers were white (91%) and female (78%). Mean ages of the caregivers were 64 years and 78% of them were married. Seventy percent of the older adults suffered from Alzheimer and related disease. In this study, caregivers reported that they experienced burnout once a month. The scores of emotional exhaustion and reduced personal accomplishment of the caregivers were in the moderate burnout range. To examine the predictors of burnout, discriminant analysis was used. Caregivers were divided by two groups based on the sum of scores (cutpoint＝6) on three dimensions of burnout after each dimension was categorized into high(3), moderate(2), and low(1). Nine predictors were included in the analysis : Caregiver's age, employment status, Instrumental Activities of Daily Living (IADL) of the older adult, presence of dementia of the older adult, caregiver's empathy toward the older adult (emotional and cognitive), and 3 coping strategies (negative, problem-focused, cognitive reconstructioning). Caregivers who reported high burnout showed higher cognitive empathy toward the older adults than those who showed low burnout. Caregivers who experienced high burnout used negative coping more often, and cognitive reconstructioning coping and problem focused coping less often than their counterparts. Wilks' Lambda was .78 indicating that differences between the two groups were significant. Cognitive empathy and cognitive reconstructioning coping showed high standardized canonical discriminat function coefficients over .40. Discriminant function with 9 predictors correctly classified 71% of the sample. In conclusion, informal caregivers also experienced certain level of burnout. Cognitive empathy and coping strategies predicted burnout experience of the caregivers. Based on this study, nursing intervention to the informal caregivers to improve their cognitive empathy toward the older adults and to modify their coping strategies in a way to reduce burnout experience can be applied. Further research to develop effective nursing interventions for the purpose of reducing burnout experience by modifying predictors was suggested.