• Journal of Radiation Industry
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• v.17 no.4
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• pp.397-403
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• 2023

The purpose of this study is to obtain brain MRI images through Heavenly T₂ FLAIR and DWI techniques to find out strengths and weaknesses of each image. Data were analyzed on 13 normal people and 17 brain tumor patients. Philips Ingenia 3.0TCX was used as the equipment used for the inspection, and 32 Channel Head Coil was used to acquire data. Using Image J and Infinity PACS Data, 3mm² of gray matter, white matter, cerebellum, basal ganglia, and tumor areas were set and measured. Quantitative analysis measured SNR and CNR as an analysis method, and qualitative analysis evaluated overall image quality, lesion conspicuity, image distortion, susceptibility artifact and ghost artifact on a 5-point scale. The statistical significance of data analysis was that Wilcox-on Signed Rank Test and Paired t-test were executed, and the statistical program used was SPSS ver.22.0 and the p value was less than 0.05. In quantitative analysis, the SNR of gray matter, white matter, cerebellum, basal ganglia, and tumor of Heavily T₂ FLAIR is 41.45±0.13, 40.52±0.45, 41.44±0.51, 40.96±0.09, 35.28±0.46 and the CNR is 15.24±0.13, 16.75±0.23, 16.28±0.41, 15.83±0.17, 16.63±0.51. In DWI, SNR is 32.58±0.22, 36.75±0.17, 30.21±0.19, 35.83±0.11, 43.29±0.08, and CNR is 13.14±0.63, 14.21±0.31, 12.95±0.32, 11.73±0.09, 17.56±0.52. In normal tissues, Heavenly T₂ FLAIR obtained high results, but in disease evaluation, high results were obtained at DWI, b=1000 (p<0.05). In addition, in the qualitative analysis, overall image quality, lesion conspicuity, image distortion, susceptibility artifact and ghost artifact aspects of the Heavily T₂ FLAIR were evaluated, and 3.75±0.28, 2.29±0.24, 3.86±0.23, 4.08±0.21, 3.79±0.22 values were found, respectively, and 2.53±0.39, 4.13±0.29, 1.90±0.20, 1.81±0.21, 1.52±0.45 in DWI. As a result of qualitative analysis, overall image quality, image distortion, susceptibility artifact and ghost artifact were rated higher than DWI. However, DWI was evaluated higher in lesion conspicuity (p<0.05). In normal tissues, the level of Heavenly T₂ FLAIR was higher, but the DWI technique was higher in the evaluation of the disease (tumor). The two results were necessary techniques depending on the normal site and the location of the disease. In conclusion, statistically significant results were obtained from the two techniques. In quantitative and qualitative analysis, the two techniques had advantages and disadvantages, and in normal and disease evaluation, the two techniques produced useful results. These results are believed to be educational data for clinical basic evaluation and MRI in the future.

• The Mathematical Education
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• v.52 no.3
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• pp.335-361
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• 2013

The purpose of this study is to analyze effects on storytelling materials of statistics in the middle school classroom lesson. For this purpose, a story is developed by the Zazkis & Liljedahl's model and applied to the 7th graders of 4 classes in a middle school. After the comparison between 5 hours of storytelling lessons and ordinary lessons, the following research findings are obtained. First, storytelling material brings a positive effect on student's academic achievement. It is also shown by the qualitative analysis that this result was caused by cognition of data observation, data transformation, and unification of data with context. Second, storytelling material brings a positive effect on student's affective attitude. It is also validated by the qualitative analysis that students show the positive change in mathematical value cognition and the interests in the lesson.

• Information Systems Review
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• v.26 no.1
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• pp.19-56
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• 2024

This study is empirical research to enhance understanding of AI (artificial intelligence) training data project in South Korea. It primarily focuses on the various concerns regarding data quality from policy-executing institutions, data construction companies, and organizations utilizing AI training data to develop the most reliable algorithm for society. For academic contribution, this study suggests a theoretical foundation and research model for understanding AI training data quality and its antecedents, as well as the unique data and ethical aspects of AI. For this purpose, this study proposes a research model with important antecedents related to AI training data quality, such as data attribute factors, data building environmental factors, and data type-related factors. The study collects 393 sample data from actual practitioners and personnel from companies building artificial intelligence training data and companies developing artificial intelligence services. Data analysis was conducted through Fuzzy Set Qualitative Comparative Analysis (fsQCA) and Artificial Neural Network analysis (ANN), presenting academic and practical implications related to the quality of AI training data.

• Journal of Fashion Business
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• v.6 no.2
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• pp.67-76
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• 2002

This research examines the characteristic trends through analysis on cue in the contemporary fashion distinctly and systematically. It is carried out by both qualitative analysis and quantitative analysis. In the qualitative analysis, the four important street fashions of neo-mods/jazz, neo-hippie/grunge, sportivecasual and technos/cyber-punk are grouped. In the quantitative analysis, statistical data are sampled from Collection II of the 1990s S/S. It takes frequency, percentage, $\chi^2$-test and etc. by using the comprehensive tools for statistical treatment. There were significant differences between the S/S fashion. According to the cues, there are also significant differences between the fashion in the 1990s. In 'Neo-Mos/Jazz' style shows highly androgynous look, deep and strong tone, green/blue colors, natural fabric, stripe pattern, long hair style, and hided make-up. 'Neo-hippie/gnenge' style shows highly folklore look, vivid tone purple colors, seethrough/knit fabric, natural /traditional pattern, decorative hair special makeup. 'Sportive casuals' style shows highly sportive look, greish tone, white/grey colours, natural fabric, solid patten, bobbed hair, and natural make-up. 'Techno/cyber punk style shows highly comocorps look, pale tone black colors avangard fabric, solid patten, punk/dyed hair special make-up.

• East Asian Journal of Business Economics (EAJBE)
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• v.9 no.4
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• pp.57-67
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• 2021

Purpose - The corporate culture's energy is recognized to go through the company and facilitate a new balance to realize success, which means that the culture in an environment of various organizations affects the performance of its employees. The purpose of the current research is to investigate the impact of organizational culture on employee performance. Research design, data, and methodology - The current research conducted a qualitative content analysis. The primary research approach applied by qualitative content analysis is an inductive methodology, and this approach is a type of reasoning that seeks the application of logic, which later helps develop a theory that will guide the future research. Result - Research findings of the present study indicated that five solutions to the problems encountered through the execution of culture are attached to how effective the organizational culture are when workers execute. Thus, culture is realized to boost structure, because the structure of an organization elevates the behavior of the organization. Conclusion - Workers will be aware of both the negative and positive implications of executing culture in the organization. Therefore, organization managers must learn that various employees are vital people in their vicinity, and creating a culture that would make a good rapport with them is vital.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.2
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• pp.366-375
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• 2016

The purpose of this research is to describe the experiences of transfer students in nursing colleges. This study was based on the qualitative content analysis. To collect qualitative data, 10 personal interviews were conducted from June 2013 to September 2014. Five sub-themes emerged from the data as follows: Participants started new challenge with self-confidence; Nursing science was difficult and unfamiliar disciplines to them; Firstly, they had no place in nursing department, but got places of their own over time; They managed to hold their own in confronting with difficulties; They consequently made personal upgrades in their life. The results of this study could guide nursing faculties to understand what kind of burdens transfer students experienced, how they had adapted to them, and how to support them to realize their full potential to grow into competent nurses.

• Journal of Families and Better Life
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• v.32 no.3
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• pp.157-177
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• 2014

The purpose of this study was to investigate the contexts in which employed mothers with young children consider leaving the labor force. We used a mixed methods design, which integrates the findings of quantitative and qualitative analyses, to better understand the dynamics underlying employed mothers' intentions to leave the labor force. The participants of both quantitative (N = 324) and qualitative (N = 16) data were married mothers who were employed full-time and had at least one child younger than elementary-school age at the time of data collection. Both the quantitative analysis of logistic regression and the qualitative thematic analysis revealed that the child's age, the husband's income, the utilization of child care by relatives, the mother's job involvement, family-to-work role conflict, and other costs and rewards of participation in the work force were the important contexts where employed mothers considered leaving the labor force. The quantitative analysis uniquely found that being employed at a workplace with flexible work hours were associated with lower odds of considering exit from the labor market. The qualitative analysis highlighted that the decision to leave the labor force or to stay in it is a complicated issue that almost all employed mothers potentially face at some point in their careers. These findings suggest that policy support is warranted to help employed mothers with young children remain in the workforce when they wish to.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.641-649
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• 2021

This qualitative content analysis aims to explore the meaning of experiences for college students who have experienced community service activities. This study aimed to find the essence of college students' community service experiences and provide them with basic data to develop effective personality education methods and service programs. The participants of this study were six college students with community service experience. Data were collected through in-depth interviews from May to September 2019 and were analyzed using the qualitative content analysis method suggested by Graneheim & Lundman. The community service experiences of college students could be summarized by the core theme, "Becoming a social professional through growth and maturity", consisting of the following themes: together in a living experience, growth through sharing, achieving maturity toward professionalism, and experiencing one's limitations. Through this study, it was confirmed that the experience of college students' service activities would cultivate the human character and competency necessary to live with others, the community, and nature. The college student's service activities could be used as an important educational program in personality education.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.9
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• pp.355-360
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• 2014

Forecasting of emerging technology plays important roles in business strategy and R&D investment. There are various ways for technology forecasting including patent analysis. Qualitative analysis methods through experts' evaluations and opinions have been mainly used for technology forecasting using patents. However qualitative methods do not assure objectivity of analysis results and requires high cost and long time. To make up for the weaknesses, we are able to analyze patent data quantitatively and statistically by using text mining technique. In this paper, we suggest a new method of technology forecasting using text mining and ARIMA analysis.

• Journal of Wellbeing Management and Applied Psychology
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• v.6 no.1
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• pp.23-31
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• 2023

Purpose: The purpose of this study is a preliminary study to develop a comprehensive information avoidance scale that includes various search contexts. Research design, data and methodology: This study is a part of exploratory sequential design of mixed method for the development of information avoidance scale. Based on the themes derived from the analysis of the in-depth interview data collected in the qualitative research of the first stage of the study, 45 preliminary items on information search and avoidance were constructed. The factors related to information searching included information recognition, information seeking purpose, and information search expectations. Individual, information, time, and system factors were related to information avoidance. Pearson's correlation analysis was performed for the correlation between factor items, and Cronbach's alpha analysis was performed for the reliability analysis of the items. Exploratory factor analysis was applied to examine the construct validity of 35 items of information avoidance. Results: Among the information avoidance items, one of the less relevant among information purpose items, two information factor items, and one time factor item were excluded. Conclusions: A secondary survey should be conducted to confirm the validity and reliability of the scale composed of adjusted items (35) based on the results of exploratory factor analysis. The strength of this preliminary scale is that it was developed based on vivid qualitative data of ordinary people who had experiences of search and avoidance in various search contexts.