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Article ; Online: Discovering fashion industry trends in the online news by applying text mining and time series regression analysis

Hyojung Kim / Minjung Park

Heliyon, Vol 9, Iss 7, Pp e18048- (2023)

2023

Abstract: The growth of digital media usage has accelerated the development of big data technology. According to the agenda-setting theory, news media inform the public regarding major agendas and business cycles. This study investigated 168,786 news documents ... ...

Abstract	The growth of digital media usage has accelerated the development of big data technology. According to the agenda-setting theory, news media inform the public regarding major agendas and business cycles. This study investigated 168,786 news documents from 2016 to 2020 related the South Korea fashion business using Python. A total of 19 topics were extracted through latent Dirichlet allocation and then transformed into structured data using a time series approach to analyze significant changes in trends. The results indicate that major fashion industry topics include business management strategies to increase sales, diversification of the retail structure, influence of CEOs, and merchandise marketing activities. Thereafter, statistically significant hot and cold topics were derived to identify the shifts in topic themes. This study expands the fashion business contexts with agenda-setting theory through big data time series analyses and can be referenced for the government agencies to support fashion industry policies.
Keywords	Agenda-setting theory ; Fashion industry news ; Latent dirichlet allocation ; Topic modeling ; Time series regression analysis ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	070
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: AI Model for Predicting Legal Judgments to Improve Accuracy and Explainability of Online Privacy Invasion Cases

Minjung Park / Sangmi Chai

Applied Sciences, Vol 11, Iss 11080, p

2021 Volume 11080

Abstract: Since there are growing concerns regarding online privacy, firms may have the risk of being involved in various privacy infringement cases resulting in legal causations. If firms are aware of consequences from possible cases of invasion of online privacy, ...

Abstract	Since there are growing concerns regarding online privacy, firms may have the risk of being involved in various privacy infringement cases resulting in legal causations. If firms are aware of consequences from possible cases of invasion of online privacy, they can more actively prevent future online privacy infringements. Thus, this study attempts to predict the probability of judgment types caused by various invasions within US judicial cases that are related to online privacy invasions. Since legal judgment results are significantly influenced by societal factors and technological development, this study tries to identify a model that can accurately predict legal judgment with explainability. To archive the study objective, it compares the prediction performance by applying five types of classification algorithms (LDA, NNET, CART, SVM, and random forest) of machine learning. We also examined the relationship between privacy infringement factors and adjudications by applying network text analysis. The results indicate that firms could have a high possibility of both civil and criminal law responsibilities if they distributed malware or spyware, intentionally or non-intentionally, to collect unauthorized data. It addresses the needs of reflecting both quantitative and qualitative approach for establishing automatic legal systems for improving its accuracy based on the socio-technical perspective.
Keywords	online privacy invasions ; personal information infringements ; predicting judgments ; predictive analytics ; privacy act ; network text analysis ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	303
Language	English
Publishing date	2021-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Smartphone use patterns and problematic smartphone use among preschool children.

Jeong Hye Park / Minjung Park

PLoS ONE, Vol 16, Iss 3, p e

2021 Volume 0244276

Abstract: Background The purpose of the present study was to identify smartphone use patterns associated with problematic smartphone use (PSU) among preschool children. Little is known about PSU patterns in younger children, although the age for first smartphone ... ...

Abstract	Background The purpose of the present study was to identify smartphone use patterns associated with problematic smartphone use (PSU) among preschool children. Little is known about PSU patterns in younger children, although the age for first smartphone use is decreasing. Methods We applied a cross-sectional study design to analyze data obtained from a nationwide survey on smartphone overdependence conducted in 2017 by the South Korean Ministry of Science and ICT and the National Information Society Agency. Data from 1,378 preschool children were analyzed using binomial logistic regression analysis. This study was conducted in compliance with STROBE (Strengthening the Reporting of Observational Studies in Epidemiology). Results Seventeen percent of the sample met the criteria for PSU. The odds of PSU significantly increased with frequent smartphone use and in children who used a smartphone for more than two hours per day. Using smartphones to watch TV shows or videos for entertainment or fun significantly increased the odds of PSU, whereas using smartphones for education, games, and social networking did not. Conclusions The findings indicate that one of five preschool children using smartphones could experience PSU. Compared to other age groups, PSU in young children may be more associated with their caregivers. To prevent PSU in preschool children, caregivers need information about the total screen time recommended for children, smartphone use patterns associated with PSU, suggestions for other activities as possible alternatives to smartphone use, and strategies to strengthen children's self-regulation with regards to smartphone use.
Keywords	Medicine ; R ; Science ; Q
Subject code	360
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Analyzing genderless fashion trends of consumers’ perceptions on social media

Hyojung Kim / Inho Cho / Minjung Park

Fashion and Textiles, Vol 9, Iss 1, Pp 1-

using unstructured big data analysis through Latent Dirichlet Allocation-based topic modeling

2022 Volume 21

Abstract: Abstract After the development of Web 2.0 and social networks, analyzing consumers’ responses and opinions in real-time became profoundly important to gain business insights. This study aims to identify consumers’ preferences and perceptions of ... ...

Abstract	Abstract After the development of Web 2.0 and social networks, analyzing consumers’ responses and opinions in real-time became profoundly important to gain business insights. This study aims to identify consumers’ preferences and perceptions of genderless fashion trends by text-mining, Latent Dirichlet Allocation-based topic modeling, and time-series linear regression analysis. Unstructured text data from consumer-posted sources, such as blogs and online communities, were collected from January 1, 2018 to December 31, 2020. We examined 9722 posts that included the keyword “genderless fashion” with Python 3.7 software. Results showed that consumers were interested in fragrances, fashion, and beauty brands and products. In particular, 18 topics were extracted: 13 were classified as fashion categories and 5 were derived from beauty and fragrance sectors. Examining the genderless fashion trend development among consumers from 2018 to 2020, “perfume and scent” was revealed as the hot topic, whereas “bags,” “all-in-one skin care,” and “set-up suit” were cold topics, declining in popularity among consumers. The findings contribute to contemporary fashion trends and provide in-depth knowledge about consumers’ perceptions using big data analysis methods and offer insights into product development strategies.
Keywords	Genderless fashion trend ; Latent Dirichlet Allocation-based topic modeling ; Text-mining ; Social network analysis ; Fashion big data analysis ; Textile bleaching ; dyeing ; printing ; etc ; TP890-933 ; Social Sciences ; H
Subject code	700
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Approaching fashion design trend applications using text mining and semantic network analysis

Hyosun An / Minjung Park

Fashion and Textiles, Vol 7, Iss 1, Pp 1-

2020 Volume 15

Abstract: Abstract This study aims to identify fashion trends with design features and provide a consumer-driven fashion design application in digital dynamics, by using text mining and semantic network analysis. We examined the current role and approach of ... ...

Abstract	Abstract This study aims to identify fashion trends with design features and provide a consumer-driven fashion design application in digital dynamics, by using text mining and semantic network analysis. We examined the current role and approach of fashion forecasting and developed a trend analysis process using consumer text data. This study focuses on analyzing blog posts regarding fashion collections. Specifically, we chose the jacket as our fashion item to produce practical results for our trend report, as it is an item used in multiple seasons and can be representative of fashion as a whole. We collected 29,436 blog posts from the past decade that included the keywords “jacket” and “fashion collection.” After the data collection, we established a list of fashion trend words for each design feature by classifying styles (e.g., retro), colors (e.g., black), fabrics (e.g., leather), and patterns (e.g., checkered). A time-series cluster analysis was used to categorize fashion trends into four clusters—increasing, decreasing, evergreen, and seasonal trends—and a semantic network analysis visualized the latest season’s dominant trends along with their corresponding design features. We concluded that these results are useful as they can reduce the time-consuming process of fashion trend analysis and offer consumer-driven fashion design guidelines.
Keywords	Fashion trends ; Jacket ; Text mining ; Semantic network analysis ; Fashion design application ; Textile bleaching ; dyeing ; printing ; etc ; TP890-933 ; Social Sciences ; H
Subject code	700
Language	English
Publishing date	2020-11-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The effect of cancer on traditional, complementary and alternative medicine utilization in Korea

Dongsu Kim / Soo-Hyun Sung / Seungwon Shin / Minjung Park

BMC Complementary Medicine and Therapies, Vol 22, Iss 1, Pp 1-

a fixed effect analysis using Korea Health Panel data

2022 Volume 9

Abstract: Abstract Background Cancer-related incidence and mortality rates are rapidly increasing worldwide. However, no studies have examined the effect of cancer as a single factor on the use of traditional, complementary, and alternative medicine (T&CAM). We ... ...

Abstract	Abstract Background Cancer-related incidence and mortality rates are rapidly increasing worldwide. However, no studies have examined the effect of cancer as a single factor on the use of traditional, complementary, and alternative medicine (T&CAM). We aimed to determine the effect of cancer occurrence on T&CAM utilization using Korea Health Panel (KHP) data. Methods We analyzed longitudinal data (49,380 observations) derived from 12,975 Korean adult participants with complete KHP data from 2011 to 2014 and 2016, and divided them into two groups based on cancer diagnosis. A panel multinomial logit model was used to assess whether the participants used T&CAM or conventional medicine or both in outpatient settings. Additionally, a negative binomial regression model was used to examine the effect of cancer on the number of outpatient visits for T&CAM. Results In total, 25.54% of the study participants in the cancer group used T&CAM, which was higher than that in the non-cancer group (18.37%, p < 0.0001). A panel multinomial logistic regression analysis using KHP data showed that cancer occurrence was significantly more likely to be associated with ‘Using both Korean medicine and conventional medicine’ (Coef. = 0.80, p = 0.017) and ‘Not using Korean medicine but using conventional medicine’ (Coef. = 0.85, p = 0.008) than ‘Not using Korean medicine and conventional medicine.’ A panel negative binomial regression showed a significant effect of cancer on increasing the number of T&CAM outpatient visits (Coef. = 0.11, p = 0.040). Conclusions Our findings showed that cancer occurrence within an individual led to the simultaneous use of conventional medicine and T&CAM. In addition, the occurrence of cancer significantly increased the number of T&CAM outpatient visits among participants already using T&CAM. It was also found that T&CAM has been utilized more often by the most vulnerable people, such as medical beneficiaries and those with a low level of education.
Keywords	Traditional & Complementary and Alternative Medicine ; Traditional Korean Medicine ; Korea Health Panel ; Cancer occurrence ; Other systems of medicine ; RZ201-999
Subject code	150
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: National Health Insurance Data Analysis for the Second-Wave Development of Korean Medicine Clinical Practice Guidelines in South Korea

Chan-Young Kwon / Seungwon Shin / O-Jin Kwon / Wonkyung Moon / Namkwen Kim / Minjung Park

Journal of Pharmacopuncture, Vol 26, Iss 2, Pp 198-

2023 Volume 209

Abstract: Objectives: After the evidence-based Korean medicine clinical practice guidelines (KMCPGs) for 30 targeted diseases were developed in 2021, 34 diseases have been proposed for the second-wave development of the KM-CPGs. The purpose of this study was to ... ...

Abstract	Objectives: After the evidence-based Korean medicine clinical practice guidelines (KMCPGs) for 30 targeted diseases were developed in 2021, 34 diseases have been proposed for the second-wave development of the KM-CPGs. The purpose of this study was to investigate the development priorities of the candidate diseases into the second-wave development of KM-CPGs in south Korea. Methods: In this study, we analyzed the Health Insurance Review and Assessment Service National Patient Sample data from 2017 to 2018 to determine the demand and economic importance of the candidates for the second-wave development of KM-CPGs in real-world clinical settings in Korea.Results: The annual number of visits and patients, annual healthcare expenditure per patient, and healthcare expenditure per institution were analyzed. Musculoskeletal disorders, including sciatica and adhesive capsulitis of the shoulder, were the most important topics regarding the number of visits and patients and annual healthcare expenditure per institution. Specifically, sciatica (52.05% of the total number of visits, 48.34% of the total number of patients, and 42.12% of the total treatment expenditure per institution) showed overwhelmingly high proportions. However, cerebral palsy (36.03% of the total number of inpatient visits and 24.55% of the total number of inpatient patients) was a more important topic in inpatient clinical settings than musculoskeletal conditions or cancer, and healthcare expenditure per patient in this topic had the highest ranking. Furthermore, fractures were found to be highly important in inpatient clinical settings. No patients had influenza A virus infection or posttraumatic stress disorders who visited the KM medical institution of interest.Conclusion: This study highlights the gap between the real-world clinical setting and the research field in some topics. The results of this study can provide guidance for the second- wave development of KM-CPGs in the future.
Keywords	korean medicine ; clinical practice guideline ; healthcare utilization ; national health insurance data ; Medicine ; R ; Miscellaneous systems and treatments ; RZ409.7-999 ; Therapeutics. Pharmacology ; RM1-950
Subject code	610
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Korean Pharmacopuncture Institute
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Benefits of mass customized products

Minjung Park / Jungmin Yoo

Heliyon, Vol 4, Iss

moderating role of product involvement and fashion innovativeness

2018 Volume 2

Abstract: The objective of this study was to explore impacts and benefits of mass customized products on emotional product attachment, favorable attitudes toward a mass customization program, and the ongoing effect on loyalty intentions. This study further ... ...

Abstract	The objective of this study was to explore impacts and benefits of mass customized products on emotional product attachment, favorable attitudes toward a mass customization program, and the ongoing effect on loyalty intentions. This study further investigated how benefits, attachment, attitudes, and loyalty intentions differed as a function of involvement and fashion innovativeness. 290 female online shoppers in South Korea participated in an online survey. Results of this study revealed that perceived benefits positively influenced emotional product attachment and attitudes toward a mass customization program. In addition, attachment positively influenced attitudes, which in turn affected loyalty intentions. This study also found that benefits, attachment, attitudes, and loyalty intentions were all higher in highly involved consumers (high fashion innovators) than those in less involved consumers (low fashion innovators). This study concludes with theoretical and practical implications for mass customization programs.
Keywords	Psychology ; Information science ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	150
Language	English
Publishing date	2018-02-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Association between dementia and depression

Ok-Cheol Yu / Hoyeon Go / Minjung Park

BMJ Open, Vol 10, Iss

a retrospective study using the Korean National Health Insurance Service-National Sample Cohort database

2020 Volume 10

Abstract: Objectives Dementia is common in people over the age of 65 years, with 80% of people with dementia older than 75 years. Previous studies have linked dementia to late-life depression, but the association between dementia and mid-life depression is poorly ... ...

Abstract	Objectives Dementia is common in people over the age of 65 years, with 80% of people with dementia older than 75 years. Previous studies have linked dementia to late-life depression, but the association between dementia and mid-life depression is poorly understood. Depression is a preventable and treatable medical condition, which means it is a modifiable factor that can potentially prevent or delay dementia. This study aimed to identify the association between dementia and depression within the life course.Design A nationwide, retrospective propensity score matched cohort study associating dementia with depression. Depression diagnosed between the ages of 45 and 64 years was classified as ‘mid-life’ and ‘late-life’ if diagnosed at 65 years or older. Patients were considered to have depression when one or more International Statistical Classification of Diseases and Related Health Problems, 10th revision codes for depression were recorded as primary or secondary diagnosis.Setting National Health Insurance Service-National Sample Cohort database of the National Health Insurance Service in South Korea, containing patient data from 2002 to 2013.Participants The study included 1824 and 374 852 patients in the case and control groups, respectively. A logistic regression analysis with complex sampling design was performed after adjusting for covariates, using the propensity score matching method without callipers, with a 1:1 nearest neighbour matching algorithm.Primary and secondary outcome measures The association of mid-onset and late-onset depression with dementia in terms of sociodemographic characteristics, such as sex and age, within the Korean population.Results Dementia was significantly associated with the presence of depression (OR=2.20, 95% CI=1.53–3.14); in particular, female patients with depression and patients aged 45–64 years with depression had increased odds of dementia (OR=2.65, 95% CI=1.78–3.93 and OR=2.72, 95% CI=1.41–5.24, respectively)Conclusion Depression is an associated factor for dementia, ...
Keywords	Medicine ; R
Subject code	360
Language	English
Publishing date	2020-10-01T00:00:00Z
Publisher	BMJ Publishing Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Development of clinical practice guidelines for Korean medicine

Seungwon Shin / Wonkyung Moon / Suran Kim / Seok Hee Chung / Jongwoo Kim / Namkwen Kim / Yoon Jae Lee / Minjung Park

Integrative Medicine Research, Vol 12, Iss 1, Pp 100924- (2023)

Towards evidence-based complementary and alternative medicine

2023

Abstract: Background: Since evidence-based medicine has been pursued in complementary and alternative medicine, the clinical practice guideline (CPG) has become a key factor in providing standardized and validated practices in Korean Medicine (KM). We aimed to ... ...

Abstract	Background: Since evidence-based medicine has been pursued in complementary and alternative medicine, the clinical practice guideline (CPG) has become a key factor in providing standardized and validated practices in Korean Medicine (KM). We aimed to review the current status and characteristics of the development, dissemination, and implementation of KM-CPGs. Methods: We searched KM-CPGs and relevant publication via web-based databases. We organized the searching results focused on the year of publications and the development programs to show which and how KM-CPGs have been development. We also reviewed the manuals for KM-CPG development to introduce concise characteristics of the KM-CPGs published in Korea. Results: The KM-CPGs have been developed according to manuals and standard templates for developing evidence-based KM-CPGs. First, CPG developers reviews the previously published CPGs for a clinical condition of interest and plans the CPG development. After finalizing the key clinical questions, the evidence is searched, selected, appraised, and analyzed following the internationally standardized methods. The quality of the KM-CPGs is controlled by a tri-step appraisal process. Second, the CPGs were submitted for the appraisal of the KM-CPG Review and Evaluation Committee. The committee evaluates the CPGs according to the AGREE II tool. Finally, the Steering Committee of the KoMIT project reviews the entire process of developing the CPGs and confirms it for public disclosure and dissemination. Conclusion: Evidence-based KM from research to practice can be achieved with the attention and effort of multidisciplinary entities such as clinicians, practitioners, researchers, and policymakers for the CPGs.
Keywords	Clinical practice guidelines ; Korean medicine ; Evidence-based medicine ; Complementary and alternative medicine ; Miscellaneous systems and treatments ; RZ409.7-999
Subject code	020
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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