• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.809-818
• /
• 2024

This paper proposes an action plan for local governments to safely utilize artificial intelligence technology in various local government policies. The proposed method analyzes cases of application of artificial intelligence-related laws and policies in Gyeonggi Province, Seoul City, and New York City, and then presents matters that local governments should consider when utilizing AI technology in their policies. This paper applies the AILocalism-Korea analysis methodology, which is a modified version of the AILocalsm analysis methodology[1] presented by TheGovLab at New York University. AILocalism-Korea is an analysis methodology created to analyze the current activities of each local government in the fields of legal system, public procurement, mutual cooperation, and citizen participation, and to suggest practical alternatives in each area. In this paper, we use this analysis methodology to present 9 action plans that local governments should take based on safe and reliable use of artificial intelligence. By utilizing various AI technologies through the proposed plan in local government policies, it will be possible to realize reliable public services.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.819-825
• /
• 2024

The reason for recording dose data when using a diagnostic radiation source is to record and manage the dose to healthcare personnel and patients. The purpose of this study was to verify the difference in radiation dose when using diagnostic radiation generating devices and to inform users' awareness of dose reduction through measurement and analysis of dose in situations with and without shielding. The dose analysis of each equipment for two Korean C-arms and two German C-arms showed that the Korean FPD type C-arm had the highest dose value, followed by the German I.I type C-arm, German FPD type C-arm, Korean, and I.I type C-arm. The results of the dose analysis with and without shielding showed that the dose to the human phantom in a normal atmosphere increased by about 2 times due to scattered radiation, but the dose to the human phantom was reduced by about 5 times by wearing a shield (0.5mm/lead apron). More important than the management of radiation dose is the study of how to reduce exposure when using radiation, and since the radiation dose output from different equipment is different, it is necessary to provide dose information with and without shielding.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.533-539
• /
• 2024

This study investigated the effects of two exercise programs, which include exercise methods to increase muscle strength, balance, and endurance, on the balance ability and fall efficacy of elderly people, and the differences in effects according to preference. Twenty-one elderly people were divided into a group using assistive devices using elastic bands (Experimental Group 1) and a group using the body (Experimental Group 2) and an exercise program was conducted for 4 weeks. The single leg stand (SLS) and functional reach test (FRT) were used to evaluate the elderly's balance ability, and the fall efficacy scale (FES) was used to evaluate the degree of fear of falling. A pre-evaluation was conducted after a 2-week integrated exercise program, and a post-evaluation was conducted after applying the exercise program for 4 weeks. In the study results, within-group SLS, FRT, and FES analyzes all showed statistically significant improvement in the post-assessment compared to the pre-assessment. However, there were no significant differences in the comparison between groups regarding exercise program and between groups according to preference. In conclusion, in order to increase the balance ability and fall efficacy of the elderly, an exercise program must be applied, and it is necessary to use a program that is easy to apply and includes exercise methods that the elderly can easily perform.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.3
• /
• pp.683-692
• /
• 2024

This study aimed to examine the effects of integrated simulation practice education for nursing college students on their communication skills, self-efficacy in learning, clinical reasoning ability, and clinical performance through a pre-post quasi-experimental design with a single group. The participants were 41 fourth-year nursing college students from a university located in G City, and the intervention took place from September to November 2023 over a period of nine weeks. The collected data were analyzed using SPSS 23.0, and the research findings are as follows. First, after simulation practice education, significant effects were observed in self-efficacy in learning (t=-2.21, p=.033), clinical reasoning ability (t=-2.97, p=.005), and clinical performance (t=-2.84, p=.007), but no significant difference was found in communication skills (t=-.224, p=.824). Second, after simulation classes for nursing students, clinical performance showed significant positive correlations with communication skills (r=.650, p<.001), self-efficacy in learning (r=.440, p<.001), and clinical reasoning ability (r=.824, p<.001). Based on these results, integrated simulation practice education for nursing students appears to be an effective educational method for enhancing their self-efficacy in learning, clinical reasoning ability, and clinical performance. To improve nursing students' clinical performance, it is necessary to operate simulation practices with various scenarios.

• Therapeutic Science for Rehabilitation
• /
• v.13 no.2
• /
• pp.69-84
• /
• 2024

Objective : This study aimed to categorize the lifestyles of older adults into two types - healthy and unhealthy, and use machine learning to identify the personal values that influence these lifestyles. Methods : This cross-sectional study targeting middle-aged and older adults (55 years and above) living in local communities in South Korea. Data were collected from 300 participants through online surveys. Lifestyle types were dichotomized by the Yonsei Lifestyle Profile (YLP)-Active, Balanced, Connected, and Diverse (ABCD) responses using latent profile analysis. Personal value information was collected using YLP-Values (YLP-V) and analyzed using machine learning to identify the relative importance of personal values on lifestyle types. Results : The lifestyle of older adults was categorized into healthy (48.87%) and unhealthy (51.13%). These two types showed the most significant difference in social relationship characteristics. Among the machine learning models used in this study, the support vector machine showed the highest classification performance, achieving 96% accuracy and 95% area under the receiver operating characteristic (ROC) curve. The model indicated that individuals who prioritized a healthy diet, sought health information, and engaged in hobbies or cultural activities were more likely to have a healthy lifestyle. Conclusion : This study suggests the need to encourage the expansion of social networks among older adults. Furthermore, it highlights the necessity to comprehensively intervene in individuals' perceptions and values that primarily influence lifestyle adherence.

• Journal of Industrial Convergence
• /
• v.22 no.3
• /
• pp.51-65
• /
• 2024

This study aims to understand positive changes in balance and gait function and difficulties in the instructor's guidance process through repetitive basic motor skill-based physical activities targeting people with cerebellar ataxia. For this purpose, five adults with cerebellar ataxia were selected as research subjects, and their three instructors participated as research participants. To collect quantitative data, the average and standard deviation were examined through pre-and post-evaluation of the research participants' physical activity classes for 16 weeks. The mean and standard deviation of the collected data were calculated using the Shapiro-Wilk test in the SAS 9.1 statistical program (p<.05). As a qualitative data collection method, the cultural description method of developmental research(DSR) proposed by Spradley(1980) was adopted, and the collected data were analyzed inductively according to the analysis method of Mertens(1990). Through this, 31 concepts, 10 subcategories, and 4 categories were discovered. As a result, the difficulties experienced by the research participants included insufficient guidance environment, dissatisfaction of consumers, difficulty in guidance, and non-cooperation of colleagues. Based on these research results, it was found that institutional, legal, and policy support should be provided not only to public institutions but also to private physical activity institutions that can use vouchers in order to maintain the balance of adults with cerebellar ataxia as well as to guide their physical activities.

• Journal of Industrial Convergence
• /
• v.22 no.3
• /
• pp.67-78
• /
• 2024

The purpose of this study is to identify the factors affecting job satisfaction by examining the positive psychological capital, job crafting, and nursing work environment of clinical nurses, and to provide foundational data necessary to devise strategies for enhancing job satisfaction. Data were collected online from 208 clinical nurses working in three comprehensive hospitals located in J city from March 15 to March 30, 2023. Data were analyzed using the SPSS/WIN 26.0 program. The influencing factors on subjects' job satisfaction were marital status, education level, salary satisfaction, workload, clinical experience, positive psychological capital, job crafting, and nursing work environment. A hierarchical regression analysis following the order of general characteristics, positive psychological capital, nursing work environment, and job crafting identified nursing work environment (𝛽=.37, p<.001), job crafting (𝛽=.35, p<.001), positive psychological capital (𝛽=.33, p<.001), education level (𝛽=.09, p=.014) and salary satisfaction (𝛽=.09, p=.015) as the influencing factors of job satisfaction, in which the explanatory power for the final model was 78%. Based on the results of this study, it is suggested to develop and verify the effectiveness of programs to improve the positive psychological capital and job crafting of clinical nurses.

• Journal of Korea Water Resources Association
• /
• v.57 no.2
• /
• pp.73-85
• /
• 2024

Predicting water quality of rivers and reservoirs is necessary for the management of water resources. Artificial Neural Networks (ANNs) have been used in many studies to predict water quality with high accuracy. Previous studies have used Gradient Descent (GD)-based optimizers as an optimizer, an operator of ANN that searches parameters. However, GD-based optimizers have the disadvantages of the possibility of local optimal convergence and absence of a solution storage and comparison structure. This study developed improved optimizers to overcome the disadvantages of GD-based optimizers. Proposed optimizers are optimizers that combine adaptive moments (Adam) and Nesterov-accelerated adaptive moments (Nadam), which have low learning errors among GD-based optimizers, with Harmony Search (HS) or Novel Self-adaptive Harmony Search (NSHS). To evaluate the performance of Long Short-Term Memory (LSTM) using improved optimizers, the water quality data from the Dasan water quality monitoring station were used for training and prediction. Comparing the learning results, Mean Squared Error (MSE) of LSTM using Nadam combined with NSHS (NadamNSHS) was the lowest at 0.002921. In addition, the prediction rankings according to MSE and R² for the four water quality indices for each optimizer were compared. Comparing the average of ranking for each optimizer, it was confirmed that LSTM using NadamNSHS was the highest at 2.25.

• Journal of Digital Convergence
• /
• v.22 no.1
• /
• pp.33-38
• /
• 2024

In recent years, as more and more middle-aged people who worked at companies are retiring, they are becoming interested in starting their own businesses, and the rate of middle-aged people starting businesses is increasing. The purpose of this study was to analyze the quality and satisfaction of educational services and trust in educational institutions in providing entrepreneurship education to prospective entrepreneurs over the age of 40 who want to start a business, and to analyze the impact of entrepreneurship education on entrepreneurship in the future. Afterwards, the goal is to establish an education strategy to improve the quality of entrepreneurship education. To achieve the purpose of the study, a hypothesis was established and an empirical analysis was conducted on educated prospective entrepreneurs and retirees over 40 years of age. As a result of the analysis, it was confirmed that confidence and reliability ultimately influence the factors that increase satisfaction with entrepreneurship education for middle-aged and older people. Satisfaction was found to play a meaningful role in trust. The research points out that entrepreneurship education institutions should provide education centered on the trainees rather than entrepreneurship education centered on support organizations. Moreover, due to the diversity of education, not only the content and method of education but also the education of employees working in supporting organizations is important.

• Korean Journal of Clinical Laboratory Science
• /
• v.56 no.1
• /
• pp.10-20
• /
• 2024

RNA-sequencing (RNA-seq) is a technique used for providing global patterns of transcriptomes in samples. However, it can only provide the average gene expression across cells and does not address the heterogeneity within the samples. The advances in single-cell RNA sequencing (scRNA-seq) technology have revolutionized our understanding of heterogeneity and the dynamics of gene expression at the single-cell level. For example, scRNA-seq allows us to identify the cell types in complex tissues, which can provide information regarding the alteration of the cell population by perturbations, such as genetic modification. Since its initial introduction, scRNA-seq has rapidly become popular, leading to the development of a huge number of bioinformatic tools. However, the analysis of the big dataset generated from scRNA-seq requires a general understanding of the preprocessing of the dataset and a variety of analytical techniques. Here, we present an overview of the workflow involved in analyzing the scRNA-seq dataset. First, we describe the preprocessing of the dataset, including quality control, normalization, and dimensionality reduction. Then, we introduce the downstream analysis provided with the most commonly used computational packages. This review aims to provide a workflow guideline for new researchers interested in this field.