• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.11
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• pp.2966-2986
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• 2023

Climate change is a constant threat to human life, and it is important to understand the public perception of this issue. Previous studies examining climate change have been based on limited survey data. In this study, the authors used big data such as news articles and social media data, within which the authors selected specific keywords related to climate change. Using these natural language data, topic modeling was performed for discourse analysis regarding climate change based on various topics. In addition, before applying topic modeling, sentiment analysis was adjusted to discover the differences between discourses on climate change. Through this approach, discourses of positive and negative tendencies were classified. As a result, it was possible to identify the tendency of each document by extracting key words for the classified discourse. This study aims to prove that topic modeling is a useful methodology for exploring discourse on platforms with big data. Moreover, the reliability of the study was increased by performing topic modeling in consideration of objective indicators (i.e., coherence score, perplexity). Theoretically, based on the social amplification of risk framework (SARF), this study demonstrates that the diffusion of the agenda of climate change in public news media leads to personal anxiety and fear on social media.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.4
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• pp.1797-1800
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• 2016

Background: Research in the field of informational needs of breast cancer patients is scarce. In the few published articles, these needs were usually not satisfied. The main objective of this study was to evaluate satisfaction regarding informational needs in women with breast cancer. The long-term goal was to guide physician-patient communication to meet these needs. Materials and Methods: A survey with 21 questions was completed by 84 female patients receiving chemotherapy in a one-day hospital in Beirut, Lebanon. All patients were aware of their disease and agreed to participate in the survey. Results: The doctor was the major source of information for patients followed by media (radio and television). The level of knowledge of patients concerning their disease was proportional to the number of information sources. Women aged younger than 45 years, diagnosed during the last three months before the survey and certified from high school were less satisfied with information given by the oncologist. The missing information was in relation with the steps of the treatment after the chemotherapy regimen, the risk of a family member (sisters and daughters) of developing the disease and management of lymphedema. Conclusions: This study generated a scale for the degree of satisfaction of information received by women with breast cancer from their oncologist. The physician can use this scale to improve his or her skills of communication to patients and diminish their level of fear and anxiety.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.199-208
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• 2023

The emergence of COVID-19 virus has shaken almost every aspect of human life including but not limited to social, financial, and economic changes. One of the most significant impacts was obviously healthcare. Now though the pandemic has been over, its aftereffects are still there. Among them, a prominent one is people lifestyle. Work from home, enhanced screen time, limited mobility and walking habits, junk food, lack of sleep etc. are several factors that have still been affecting human health. Consequently, diseases like diabetes, high blood pressure, anxiety etc. have been emerging at a speed never witnessed before and it mainly includes the people at young age. The situation demands an early prediction, detection, and warning system to alert the people at risk. AI and Machine learning has been investigated tremendously for solving the problems in almost every aspect of human life, especially healthcare and results are promising. This study focuses on reviewing the machine learning based approaches conducted in detection and prediction of diabetes especially during and post pandemic era. That will help find a research gap and significance of the study especially for the researchers and scholars in the same field.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.641-649
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• 2020

This study was conducted to examine the effects of instruction (explicit, implicit) and stimulus presentation time (300 ms, 500 ms) in ABM training. According to the Social Avoidance and Distress Scale (SADS) and the attention bias score (ABS), 60 undergraduate students were selected. All participants' SADS scores were above 82 and their ABS score was greater than 0. The training group was explicit-300 ms training group (n=10), explicit-500 ms training group (n=10), implicit-300 ms training group (n=10) and implicit-500 ms training group (n=10). In the implicit instruction group, only information about procedure was included. In the explicit instruction group, additional information about training manipulation (the probe always presented at the location of the preceding neutral stimuli) was provided. The control group were placebo-300 ms control group(n=10) and placebo-500 ms control group(n=10). After 8 sessions of training, the effect was only found in instruction conditions. The explicit training group showed significantly decreased SADS after training. ABS changed significantly in all three conditions but the treatment effect was most effective in the explicit instruction condition. No significant effect was found in the stimulus presentation time. These results suggest that explicit instruction might promote the effect of ABM training compared to implicit instruction.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.229-253
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• 2009

The effect of knowledge sharing and its importance have been reported in the information systems literature. However, little has been learned about the impact of knowledgeexchange web sites. This study explores relationships between individual characteristics such as personal innovativeness in the domain of information technology (PIIT), computer selfefficacy (CSE), and computer anxiety (CA), user involvement (UI), and knowledge sharing in a knowledge.exchange website. In order to examine our research model, we adopted a survey research design based on the Structural Equation Modeling method. By analyzing 241 samples collected, we conclude that UI and CA are valuable to discuss in terms of their theoretical and practical implications. This study not only extends the research on personal innovativeness and knowledge sharing, but also suggests a need for focused research efforts to investigate real practices on knowledge sharing. This study initiates this kind of efforts to make a relevant tie between design of knowledge sharing applications and the success case in the commercial field to encourage users to share their knowledge.

• Journal of the Korean Society for information Management
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• v.32 no.4
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• pp.273-287
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• 2015

This study aimed to investigate the impact of the epidemic disease including Middle East Respiratory Syndrome Coronavirus (MERS) on the usage of public libraries. Such disease yields anxiety throughout the nation and discourages social activities in general. 18,711,453 records from 303 public libraries were examined with "big data retrieval & analysis platform for public libraries" located in Sejong National Library. The results are as follows. First, in 2015, when MERS was prevalent, the daily mean of books checked out was 64,645.05, showing decrease of 6,300 per day compared to that of 2014. Second, in 2014, the daily mean of books checked out from July 5th to August 19th was greater than that of from April 4th to May 19th and that of from May 20th to July 4th, implying the impact of summer vacation on the increase in books checked out in public libraries. Third, in 2015, the daily mean of books checked out from July 5th was greater than during MERS outbreak(from May 20th to July 4th), while it did not show statistically significant difference with that of before the outbreak. Fourth, the daily mean of books checked out did not show statistically significant difference between 2014 and 2015 before and during the outbreak, while it showed statistically significant difference between 2014 and 2015 after the epidemic period. The results indicate that MERS and the anxiety it brought nationwide had an impact on the daily mean of books checked out in public libraries after the epidemic period rather than during the outbreak.

• Journal of Industrial Convergence
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• v.21 no.4
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• pp.165-170
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• 2023

There are cases where the mobility impaired have difficulty moving from the moment they leave the house. If guardians also do not have time to entrust their families, who are socially disadvantaged, to a shelter, the guardian has no choice but to check directly in order to know the location of the guardian. The AI home care solution was designed to relieve the anxiety and labor of caregivers and to provide convenience for protection facility officials and users. If more facilities distribute and use services free of charge to non-profit foundations and protective facilities, the concern of guardians will be reduced, and the burden of facility officials who have to manage facility users will be reduced. In this paper, we provide emergency notification services to guardians in the event of an emergency as well as location and status alarms for guardians, which are all data related to movement, in consideration of the mobility vulnerable. Furthermore, it is necessary to provide a service function that recommends the optimal route using a navigation function to ease the convenience and burden of facility officials. It is necessary to alleviate anxiety by providing necessary information to the guardian, such as the location of the shuttle used by the mobile weak and the time of getting on and off. In addition, while providing services for free, the goal is to improve the quality of service for facility managers and the quality of service for the mobility weak.

• Korean Journal of Culture and Social Issue
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• v.29 no.3
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• pp.405-427
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• 2023

This study aimed to identify demographic variables(gender, age group, occupation, living arrangement, economic level, respiratory and chronic diseases, previous medical history), COVID-19 variables(COVID-19 prevention behavior, frequent use of media to obtain COVID-19 information), and psychological behavioral variables(depression, anxiety, loneliness, and increased drinking). From February to March 2021, an online survey of adults was conducted, and a total of 1,434 data were used for analysis. 260 out of 1,434 people were confirmed to have suicide ideation, the prevalence of suicide ideation among adults during the COVID-19 was 18.1%. Logistic regression analyses indicated elevated odds of suicidal ideation among individuals in their 20s and 30s, those living alone, exhibiting fewer COVID-19 preventive behaviors, consuming COVID-19 information more frequently through media, and reporting higher levels of loneliness. Furthermore, within the group experiencing depression, anxiety, and increased drinking, greater levels of these factors correlated with higher odds of suicidal ideation. Based on the results, implications and significance of the study were discussed.

• Journal of the Korea Society of Computer and Information
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• v.22 no.3
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• pp.53-60
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• 2017

The purpose of this study is to provide empirical and quantitative analysis on user's perceived privacy, security, and user satisfaction when providing visualization information about objects and service provider behaviors that users can not perceive in internet service process. Through previous research, we have examined the importance of privacy and security factors as a key factor to be considered for the characteristics of the Internet of things and the Internet of things. In addition, service blueprint, which is one of the service design methodologies to examine the flow of service usage in providing Internet service of things, was examined. In the flow of things internet service utilization, it is found that the things that are out of the user's cognitive area and the behavior of the service provider take up a large part. Therefore, the hypothesis that the trust of the Internet service security and the satisfaction of the user experience can be improved by providing the security visualization information about the behavior of the object and the invisible service provider in the non-contact aspect of the user and the object. In order to verify the hypothesis, we conducted experiments and questionnaires on the use of virtual objects' internet environment and conducted statistical analysis based on them. As a result, it was analyzed that visual information feedback on non - contact and invisible objects and service provider's behaviors had a positive effect on user's perceived privacy, security, and satisfaction. In addition, we conclude that it can be used as a service design evaluation tool to eliminate psychological anxiety about security and to improve satisfaction in internet service design. We hope that this research will be a great help for the research on application method of service design method in Internet environment of objects.

• Journal of Biomedical Engineering Research
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• v.25 no.1
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• pp.77-82
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• 2004

The purpose of this study is to establish a reference for image acquisition for completion of a standard brain for diverse Korean population, and to develop a management system that saves and manage database of the acquired brain image and personal information of those who were tested. 3D MP-RAGE technique, which has excellent SNR and CNR and reduces the times for image acquisition, was selected for anatomical Image acquisition, and parameter values were obtained for the optimal image acquisition. The database management system was devised to obtain not only anatomical image data but also subjects' basic demographic factors, medical history, handedness inventory state-trait anxiety inventory, A-type personality inventory, self-assessment depression inventory questionnaires of Sasang Constitution Mini-Mental State Examination, intelligence test, and personality test via a survey questionnaire and to save and manage the results of the tests. In addition, this system was designed to have functions of saving, inserting, deleting, searching, and Printing of image da a and personal information of subjects, and to have accessibility to them as well as automatic connection setup with ODBC. This newly developed system may have major contribution to the completion of a standard brain of diverse Korean population in that it can save and manage their image date and personal information.