• Journal of Information Technology Applications and Management
• /
• v.31 no.1
• /
• pp.177-188
• /
• 2024

In this research, a cohort of two children, aged 7-8 years, was selected to participate in a specialized three-week training program aimed at enhancing their working memory. The program consisted of three sessions, each lasting approximately 30 minutes. The primary goal was to investigate the impact and developmental trajectory of working memory in school-aged children. Working memory plays a significant role in young children's learning and daily activities. To address the needs of this demographic, products should offer both educational and enjoyable activities that engage working memory. Digital educational tools, known for their flexibility, are suitable for both older individuals and young children. By updating software or modifying content, these tools can be effectively repurposed for young learners without extensive hardware changes, making them both cost-effective and practical. For example, memory training games initially designed for older adults can be adapted for young children by altering images, music, or storylines. Furthermore, incorporating elements familiar to children, like animals, toys, or fairy tales, can increase their engagement in these activities. Historically, working memory capabilities have been assessed predominantly through traditional intelligence tests. However, recent research questions the adequacy of these behavioral measures in accurately detecting changes in working memory. To bridge this gap, the current study utilized electroencephalography (EEG) as a more sophisticated and precise tool for monitoring potential changes in working memory after the training. The research findings were revealing. Participants showed marked improvement in their performance on n-back tasks, a standard measure for evaluating working memory. This improvement post-training strongly supports the effectiveness of the training program. The results indicate that such targeted and structured training programs can significantly enhance the working memory abilities of children in this age group, providing promising implications for educational strategies and cognitive development interventions.

• Journal of Korean Physical Therapy Science
• /
• v.31 no.1
• /
• pp.33-45
• /
• 2024

Background: This study aimed to investigate the effect of elastic band-resistive exercise using audio-visual medium on pain, proprioception, and motor function in adults with chronic neck and shoulder pain. Design: One group pretest-posttest follow-up experimental design. Method: Twenty adult women with neck and shoulder pain voluntarily participated in this study. Elastic band-resistive exercise using audio-visual medium including cervical flexion and extension, shoulder external rotation, and scapular retraction-protraction motions was conducted 5 times a week for 3 weeks. The Numerical Rating Scale, pressure threshold tool, CROM goniometer, and Image J software were used to assess subjective pain level, tenderness threshold (pain), joint position sense error (proprioception), joint range of motion, and postural alignment (motor function), respectively. Result:: The pain intensity and threshold and joint position sense error showed significant decreases after the intervention, whereas the joint range of motion angle revealed significant increases. The postural alignment including forward head posture and rounded shoulder revealed significant improvements after the intervention. Conclusions: Therefore, we suggest that elastic band-resistive exercise through audio-visual medium would be helpful in preventing and managing pain and physical dysfunction in individuals with chronic neck and shoulder pain, and then it would support the development of health management-related online education content.

• Safety and Health at Work
• /
• v.14 no.4
• /
• pp.358-367
• /
• 2023

Background: This study aimed to develop and assess the psychometric features of the Physical Activity at Workplace Questionnaire (PAWPQ) based on the Social Cognitive Theory (SCT) to evaluate employees' physical activity (PA) behaviors at the workplace. Methods: This psychometric cross-sectional study was conducted on 455 employees working in one of the gas refineries in Iran. The participants were selected using the proportional stratified sampling method in 2019. The data collection tools were a demographic information questionnaire, the short form of the International Physical Activity Questionnaire (IPAQ), and a questionnaire developed based on the SCT, whose psychometric features were confirmed in terms of validity and reliability. Data were analyzed using SPSS₂₂ and AMOS₂₀ software. Results: The first version of PAWPQ-SCT had 74 items. After evaluating content and face validity, nine items were removed. The results of the content validity index (0.98), content validity ratio (0.86), and impact score (3.62) were acceptable for the whole instrument. In exploratory factor analysis, after removing seven items-58-item final version of the scale-six factors could explain 73.54% of the total variance. The results of structural equation modeling showed the acceptable fit of the model into the data (RMSEA = 0.052, CFI = 0.917, NFI = 0.878, TLI = 0.905, IFI = 0.917, CMIN/DF = 2.818). Cronbach's alpha coefficient and Intraclass Correlation were 0.90 and 0.86, respectively. Conclusion: This study confirmed that the psychometric features of the 58-item final version of PAWPQSCT constructs were acceptable in a sample of Iranian employees. This questionnaire can be used as a valid and reliable tool to evaluate Iranian employees' PA behaviors and develop effective educational interventions for workers and managers.

• Journal of Radiation Industry
• /
• v.17 no.3
• /
• pp.265-273
• /
• 2023

To effectively and safely manage the radiation exposure to nuclear power plant (NPP) workers in accidents, major overseas NPP operators such as the United States, Germany, and France have developed and applied realistic 3D model radiation dose assessment software for workers. Continuous research and development have recently been conducted, such as performing NPP accident management using 3D-VR based on As Low As Reasonably Achievable (ALARA) planning tool. In line with this global trend, it is also required to secure technology to manage radiation exposure of workers in Korea efficiently. Therefore, in this paper, it is described the application method and assessment results of radiation exposure scenarios for workers in response to accidents assessment technology, which is one of the fundamental technologies for constructing a realistic platform to be utilized for radiation exposure prediction, diagnosis, management, and training simulations following accidents. First, the post-accident sampling after the Loss of Coolant Accident(LOCA) was selected as the accident and response scenario, and the assessment area related to this work was established. Subsequently, the structures within the assessment area were modeled using MCNP, and the radiation source of the equipment was inputted. Based on this, the radiation dose distribution in the assessment area was assessed. Afterward, considering the three principles of external radiation protection (time, distance, and shielding) detailed work scenarios were developed by varying the number of workers, the presence or absence of a shield, and the location of the shield. The radiation exposure doses received by workers were compared and analyzed for each scenario, and based on the results, the optimal accident response scenario was derived. The results of this study plan to be utilized as a fundamental technology to ensure the safety of workers through simulations targeting various reactor types and accident response scenarios in the future. Furthermore, it is expected to secure the possibility of developing a data-based ALARA decision support system for predicting radiation exposure dose at NPP sites.

• Journal of Internet Computing and Services
• /
• v.25 no.3
• /
• pp.19-25
• /
• 2024

The worldwide aging population trend is causing an increase in the incidence of major retinal diseases that can lead to blindness, including glaucoma, cataract, and macular degeneration. In the field of ophthalmology, there is a focused interest in diagnosing diseases that are difficult to prevent in order to reduce the rate of blindness. This study proposes a deep learning approach to accurately diagnose ocular diseases in fundus photographs using less data than traditional methods. For this, Convolutional Neural Network (CNN) models capable of effective learning with limited data were selected to classify Conventional Fundus Images (CFI) from various ocular disease patients. The chosen CNN models demonstrated exceptional performance, achieving high Accuracy, Precision, Recall, and F1-score values. This approach reduces manual analysis by ophthalmologists, shortens consultation times, and provides consistent diagnostic results, making it an efficient and accurate diagnostic tool in the medical field.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.24 no.4
• /
• pp.177-182
• /
• 2024

The issue of teenage drinking and smoking has been raised repeatedly over the years. However, for various reasons, adolescents have continued to drink and smoke up to the present. Consequently, various preventive education programs are being implemented in all elementary, middle, and high schools, but these efforts have not been significantly effective in reducing the rates of adolescent drinking and smoking. Furthermore, while youth centers exist in various locations, they are often underutilized due to inadequate promotion or facilities. Given that drinking can lead to serious juvenile crimes, and there are indeed cases to this effect, preventive measures are absolutely necessary. Therefore, this paper analyzes the behavior of adolescents regarding drinking and smoking using public data. Based on the analysis conducted using R, a tool for big data analysis, this paper proposes measures to reduce the rates of adolescent drinking and smoking. The proposed measures focus more on prevention than on post-event solutions.

• The Journal of Pediatrics of Korean Medicine
• /
• v.38 no.3
• /
• pp.29-52
• /
• 2024

Objective This study aimed to evaluate the effect of herbal medicines on alopecia areata (AA). Methods We searched 10 Korean, English, Japanese, and Chinese databases for studies published until April 3, 2024. Randomized controlled trials (RCTs) assessing the effect of herbal medicines on AA were included. The Cochrane risk of bias tool was used to evaluate the quality of the studies. A meta-analysis was conducted according to outcome measurements, such as total effective rate (TER), full recovery rate, and recurrence rate, using the Review Manager software. Results Seventeen RCTs were included in this study, and the TER in the treatment group was 1.48 times higher than that in the control group [Risk ratio (RR): 1.48, 95% confidence interval (CI): 1.40~1.55, I² = 43%]. The full recovery rate was 2.25 times higher in the treatment group [RR: 2.25, 95% CI: 1.62~3.12, I² = 53%], and the recurrence rate was 0.22 times lower, than that of the control group [RR: 0.22, 95% CI: 0.070~0.68, I² = 0%]. Four studies reported that there were no adverse events. Four studies reported mild gastric discomfort, a mild increase in alanine aminotransferase (ALT), and constipation in the treatment group. Conclusions Our meta-analysis showed that herbal medicines are significantly effective in treating AA. However, owing to the low quality of the included studies, future clinical studies are required to determine their potential for clinical applications.

• Journal of Korean Academy of Nursing
• /
• v.54 no.3
• /
• pp.311-328
• /
• 2024

Purpose: In this study a systematic review and meta-analysis investigated the impact of non-pharmacological interventions on major adverse cardiac events (MACE) in patients with coronary artery disease who underwent percutaneous coronary intervention (PCI). Methods: A literature search was performed using PubMed, Cochrane Library, EMBASE, and Cumulative Index to Nursing & Allied Health Literature databases up to November 2023. The risk of bias was assessed using the Cochrane Risk of Bias 2.0 tool. Effect sizes and 95% confidence intervals were calculated using R software (version 4.3.2). Results: Eighteen randomized studies, involving 2,898 participants, were included. Of these, 16 studies with 2,697 participants provided quantitative data. Non-pharmacological interventions (education, exercise, and comprehensive) significantly reduced the risk of angina, heart failure, myocardial infarction, restenosis, cardiovascular-related readmission, and cardiovascular-related death. The subgroup meta-analysis showed that combined interventions were effective in reducing the occurrence of myocardial infarction (MI), and individual and group-based interventions had significant effects on reducing the occurrence of MACE. In interventions lasting seven months or longer, occurrence of decreased by 0.16 times, and mortality related to cardiovascular disease decreased by 0.44 times, showing that interventions lasting seven months or more were more effective in reducing MI and cardiovascular disease-related mortality. Conclusion: Further investigations are required to assess the cost-effectiveness of these interventions in patients undergoing PCI and validate their short- and long-term effects. This systematic review underscores the potential of non-pharmacological interventions in decreasing the incidence of MACE and highlights the importance of continued research in this area (PROSPERO registration number: CRD42023462690).

• The Journal of the Korea Contents Association
• /
• v.9 no.12
• /
• pp.683-690
• /
• 2009

The purpose of this study is to evaluate the usefulness of high-b-values diffusion weighted magnetic resonance imaging for the preoperative detection of focal rectum cancers. 60patients with diffusion weighted imaging were evaluated for the presence of rectal cancers. Forty were male and twenty were female, and their ages ranged from 38 to 71 (mean, 56) years. Used equipment was 1.5Tesla MRI((GE, General Electric Medical System, Excite HD). Examination protocols were used the fast spin echo T2, T1 weighted imaging. All examination protocols were performed by the same location with diffusion weighted imaging for accuracy detection. The b-values used in DWI were 250, 500, 750, 1000. 1500, 2000$(s/mm^2)$. The rectum, bladder to tumor contrast-to-noise ratio (CNR) of MR images were quantitativlely analyzed using GE software Functool tool, four experienced radiologists and three radiotechnologists qualitatively evaluated image quality in terms of image artifacts, lesion conspicuity and rectal wall. These data were analysed by using ANOVA and Freedman test with each b-value(p<0.05). Contrast to noise ratio of rectum, bladder and tumor in b-value 1000 were 27.21, 24.44, respectively(p<0.05) and aADC value was $0.73\times10^{-3}$. As a qualitative analysis, the conspicuity and discrimination from the rectal wall of lesions were high results as $4.0\pm0.14$, $4.4\pm0.16$ on b-value 1000(p<0.05), image artifacts were high results as $4.8\pm0.25$ on b-value 2000(p<0.05). In conclusion, DWI was provided useful information with depicting the pre-operative detection of rectal cancers, High-b-value 1000 image was the most excellent DWI value.

• The Journal of Korean Academy of Prosthodontics
• /
• v.54 no.3
• /
• pp.234-238
• /
• 2016

Purpose: Increasing use of computer aided design-computer aided manufacturing (CAD-CAM) system and number of design software made design of restoration easy and quick. Outcome of restoration has been dependent on dental technician's wax up proficiency, dentists can design restoration for themselves now. This study aims to investigate the outcome of restoration designs, according to handling skill of CAD-CAM design tool. Materials and methods: A patient's mandibular right 1st molar was prepared. After taking impression, stone model was made, scanned the stone model with 3 shape intra-oral scanner, stereolithography (STL) file was extracted. With 3shape dental designer, one dental technician with more than 5 years work experience (designer 0) and three dental technicians with less than 2years work experience (designer 1, 2, 3-group DT) and 4 1st year residents (designer 4, 5, 6, 7-group RT) designed gold crown on the same STL file. Designed crown's MD (mesio-distal) and BL (bucco-lingual) diameter, height of crown, inter-cuspal distance, number of occlusal contact points were compared. Statistical analysis was carried out, test of normality within each group, using independent t-test. Number of contact points were compared, using Wilcoxon signed-rank test. Results: There was no significant difference between group DT and group RT. Number of contact points also resulted in no significant difference. Conclusion: The outcome of each designed crowns showed no statistical differences, in values which can be expressed as numbers. Subjective factors were different. With increasing proficiency in handling designing software, fabrication of restorations according to each designer's occlusal concept can be made easy.