• Title/Summary/Keyword: Review Features

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Characteristics of Korean Popular Music Festival Fashions According to Popular Music Genres and their Relevance to Music -Focusing on the Years 2019, 2022, and 2023- (대중음악 장르에 따른 국내 대중음악 페스티벌 패션의 특성과 음악과의 연관성 -2019, 2022, 2023년도를 중심으로-)

  • Hye-Won Lee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.48 no.2
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    • pp.211-232
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    • 2024
  • This study examines the morphological and expressive aspects of fashion and its connection to music at Korean music festivals. The research involves a theoretical review and a case study analyzing fashion and music at rock, EDM, hip-hop, and jazz festivals in Korea from 2019 to 2023. The process of selecting fashion cases was reviewed by experts in the field of fashion, and expert focus group interviews were used. The study found that while fashion and music differ in terms of their fundamental morphological components of sensory media, they share features in terms of sensory harmony between their components. In terms of expressive aspects of fashion, it was found that the subject and object of expression are the same for the artist and for the audience. Both music and fashion have sensory transmission and communication between the subject and the audience, and both transmit personal and social meaning. Using these commonalities as indicators of relevance, a relevance evaluation was conducted. As a result of the evaluation, popular music festival fashion and music were interpreted as having a high degree of relevance in terms of expressing emotions and tastes, providing a sense of belonging to a community, and conveying cultural meaning.

Emerging paradigms in cancer cell plasticity

  • Hyunbin D. Huh;Hyun Woo Park
    • BMB Reports
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    • v.57 no.6
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    • pp.273-280
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    • 2024
  • Cancer cells metastasize to distant organs by altering their characteristics within the tumor microenvironment (TME) to effectively overcome challenges during the multistep tumorigenesis. Plasticity endows cancer cell with the capacity to shift between different morphological states to invade, disseminate, and seed metastasis. The epithelial-to-mesenchymal transition (EMT) is a theory derived from tissue biopsy, which explains the acquisition of EMT transcription factors (TFs) that convey mesenchymal features during cancer migration and invasion. On the other hand, adherent-to-suspension transition (AST) is an emerging theory derived from liquid biopsy, which describes the acquisition of hematopoietic features by AST-TFs that reprograms anchorage dependency during the dissemination of circulating tumor cells (CTCs). The induction and plasticity of EMT and AST dynamically reprogram cell-cell interaction and cell-matrix interaction during cancer dissemination and colonization. Here, we review the mechanisms governing cellular plasticity of AST and EMT during the metastatic cascade and discuss therapeutic challenges posed by these two morphological adaptations to provide insights for establishing new therapeutic interventions.

Prognostication of Hepatocellular Carcinoma Using Artificial Intelligence

  • Subin Heo;Hyo Jung Park;Seung Soo Lee
    • Korean Journal of Radiology
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    • v.25 no.6
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    • pp.550-558
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    • 2024
  • Hepatocellular carcinoma (HCC) is a biologically heterogeneous tumor characterized by varying degrees of aggressiveness. The current treatment strategy for HCC is predominantly determined by the overall tumor burden, and does not address the diverse prognoses of patients with HCC owing to its heterogeneity. Therefore, the prognostication of HCC using imaging data is crucial for optimizing patient management. Although some radiologic features have been demonstrated to be indicative of the biologic behavior of HCC, traditional radiologic methods for HCC prognostication are based on visually-assessed prognostic findings, and are limited by subjectivity and inter-observer variability. Consequently, artificial intelligence has emerged as a promising method for image-based prognostication of HCC. Unlike traditional radiologic image analysis, artificial intelligence based on radiomics or deep learning utilizes numerous image-derived quantitative features, potentially offering an objective, detailed, and comprehensive analysis of the tumor phenotypes. Artificial intelligence, particularly radiomics has displayed potential in a variety of applications, including the prediction of microvascular invasion, recurrence risk after locoregional treatment, and response to systemic therapy. This review highlights the potential value of artificial intelligence in the prognostication of HCC as well as its limitations and future prospects.

Progressive Massive Fibrosis Mimicking Lung Cancer: Two Case Reports with Potentially Useful CT Features for Differential Diagnosis (폐암으로 오인된 진행성 거대종괴성 섬유화: 두 건의 증례 보고 및 감별에 유용한 컴퓨터단층촬영 소견)

  • Se Ri Kang;Ji Young Rho
    • Journal of the Korean Society of Radiology
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    • v.83 no.5
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    • pp.1175-1181
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    • 2022
  • Progressive massive fibrosis (PMF) with atypical findings is often misdiagnosed as lung cancer. Atypical features of PMF have been described in some reports; however, these reports only introduced their cases with a short literature review. We report two cases of solitary PMFs with no underlying simple pneumoconiosis or rapid growth at atypical location that were mistaken for lung cancer. We also suggest the useful CT findings to aid in the differential diagnosis.

Differential Diagnosis of Thick Myocardium according to Histologic Features Revealed by Multiparametric Cardiac Magnetic Resonance Imaging

  • Min Jae Cha;Cherry Kim;Chan Ho Park;Yoo Jin Hong;Jae Min Shin;Tae Hoon Kim;Yoon Jin Cha;Chul Hwan Park
    • Korean Journal of Radiology
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    • v.23 no.6
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    • pp.581-597
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    • 2022
  • Left ventricular (LV) wall thickening, or LV hypertrophy (LVH), is common and occurs in diverse conditions including hypertrophic cardiomyopathy (HCM), hypertensive heart disease, aortic valve stenosis, lysosomal storage disorders, cardiac amyloidosis, mitochondrial cardiomyopathy, sarcoidosis and athlete's heart. Cardiac magnetic resonance (CMR) imaging provides various tissue contrasts and characteristics that reflect histological changes in the myocardium, such as cellular hypertrophy, cardiomyocyte disarray, interstitial fibrosis, extracellular accumulation of insoluble proteins, intracellular accumulation of fat, and intracellular vacuolar changes. Therefore, CMR imaging may be beneficial in establishing a differential diagnosis of LVH. Although various diseases share LV wall thickening as a common feature, the histologic changes that underscore each disease are distinct. This review focuses on CMR multiparametric myocardial analysis, which may provide clues for the differentiation of thickened myocardium based on the histologic features of HCM and its phenocopies.

A Study on the Impact of Live Commerce Interaction on Consumer Emotional Responses and Behavioral Intentions (라이브 커머스의 상호작용이 소비자의 감정반응 및 행동의도에 미치는 영향에 관한 연구)

  • YuRong Sun;Byoung-Jai Kim
    • Journal of Information Technology Applications and Management
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    • v.31 no.2
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    • pp.35-49
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    • 2024
  • With the development of e-commerce, live streaming e-commerce, as an emerging marketing method, is on the rise. It integrates various ways of information delivery, providing consumers with unprecedented shopping experiences, particularly through its interactive nature, which can increase audience engagement and immersion. This study delves into how interactive elements in live streaming e-commerce influence consumer emotions and purchase intentions. By employing literature review and empirical analysis methods, we analyzed various interactive factors in the live streaming e-commerce environment and revealed the process through which these factors stimulate audience emotions and lead to specific purchasing behaviors. The results confirm that the interactive appeal of live streaming e-commerce significantly influences consumers' positive emotional responses, consequently enhancing purchase intentions. This study aims to explore the relationship between the interactive features of live streaming e-commerce and consumer emotional responses and purchase intentions, thereby filling theoretical gaps in the field of live streaming e-commerce and proposing new marketing theories. Additionally, by analyzing how interactive features stimulate consumers, optimal live content strategies can be proposed for live streaming e-commerce platforms and hosts, thus aiding in the improvement of marketing strategies and sales effectiveness.

The Role of Upper Airway Microbiome in the Development of Adult Asthma

  • Purevsuren Losol;Jun-Pyo Choi;Sae-Hoon Kim;Yoon-Seok Chang
    • IMMUNE NETWORK
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    • v.21 no.3
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    • pp.19.1-19.18
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    • 2021
  • Clinical and molecular phenotypes of asthma are complex. The main phenotypes of adult asthma are characterized by eosinophil and/or neutrophil cell dominant airway inflammation that represent distinct clinical features. Upper and lower airways constitute a unique system and their interaction shows functional complementarity. Although human upper airway contains various indigenous commensals and opportunistic pathogenic microbiome, imbalance of this interactions lead to pathogen overgrowth and increased inflammation and airway remodeling. Competition for epithelial cell attachment, different susceptibilities to host defense molecules and antimicrobial peptides, and the production of proinflammatory cytokine and pattern recognition receptors possibly determine the pattern of this inflammation. Exposure to environmental factors, including infection, air pollution, smoking is commonly associated with asthma comorbidity, severity, exacerbation and resistance to anti-microbial and steroid treatment, and these effects may also be modulated by host and microbial genetics. Administration of probiotic, antibiotic and corticosteroid treatment for asthma may modify the composition of resident microbiota and clinical features. This review summarizes the effect of some environmental factors on the upper respiratory microbiome, the interaction between host-microbiome, and potential impact of asthma treatment on the composition of the upper airway microbiome.

Diagnostic and therapeutic advances in adults with acute lymphoblastic leukemia in the era of gene analysis and targeted immunotherapy

  • Jae-Ho Yoon;Seok Lee
    • The Korean journal of internal medicine
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    • v.39 no.1
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    • pp.34-56
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    • 2024
  • Acute lymphoblastic leukemia (ALL) is one of the most rapidly changing hematological malignancies with advanced understanding of the genetic landscape, detection methods of minimal residual disease (MRD), and the development of immunotherapeutic agents with good clinical outcomes. The annual incidence of adult ALL in Korea is 300-350 patients per year. The WHO classification of ALL was revised in 2022 to reflect the molecular cytogenetic features and suggest new adverse-risk subgroups, such as Ph-like ALL and ETP-ALL. We continue to use traditional adverse-risk features and cytogenetics, with MRD-directed post-remission therapy including allogeneic hematopoietic cell transplantation. However, with the introduction of novel agents, such as ponatinib, blinatumomab, and inotuzumab ozogamicin incorporated into frontline therapy, good MRD responses have been achieved, and overall survival outcomes are improving. Accordingly, some clinical trials have suggested a possible era of chemotherapy-free or transplantation-free approaches in the near future. Nevertheless, relapse of refractory ALL still occurs, and some poor ALL subtypes, such as Ph-like ALL and ETP-ALL, are unsolved problems for which novel agents and treatment strategies are needed. In this review, we summarize the currently applied diagnostic and therapeutic practices in the era of advanced genetic analysis and targeted immunotherapies in United States and Europe and introduce real-world Korean data.

A Study on the Features of the Classified Customers through Pre-evaluation on the Recommender System (추천시스템에서 사전평가에 의해 선별된 고객의 특성에 관한 연구)

  • Lim, Jae-Hwa;Lee, Seok-Jun
    • Korean Business Review
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    • v.20 no.2
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    • pp.105-118
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    • 2007
  • Recommender system is the tool for E-commerce company based on the internet for increasing their sales ratio in the market. Recommender system suggests the list of items which night be wanted by customers. This list generated by the result of customers' preference prediction through the prediction algorithm automatically. Recommender system will be able to offer not only the important information for marketing strategy but also reduce the cost of customers' information retrieval trough the analysis of customers' purchase patterns and features. But there are several problems like as the extension of the users and items scales and if the recommendation to customers generated by unreliable recommender system makes the customer royalty to the system to weaken. In this study, we propose the criterion for pre-evaluation on the prediction performance only using the preference ratings on the items which are rated by customers before prediction process and we study the features of customers who are classified through this classification criterion.

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A comparative study on iPhone 6 Plus and Samsung Galaxy Note 4 from Vietnamese consumer perception

  • Le, Huong Van;Park, Hyun Woo
    • Asia Pacific Journal of Business Review
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    • v.2 no.1
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    • pp.53-68
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    • 2017
  • The objective of this research is to analyze the product innovation aspect in two comparable smartphones and partly illustrate perception and preference of Vietnamese consumers of two smartphone lines of Apple - iPhone 6 Plus and Samsung - Samsung Galaxy Note 4. The research tries to clarify which innovative features in two smartphones are more preferable to a group of consumer in Vietnam. The reason why the research studies iPhone 6 Plus and Samsung Galaxy Note 4 when iPhone 7 and Samsung Galaxy Note 7 have just released is that passing more than one year is enough time for consumers to totally experience both 2 smartphone lines to give the most precise and truthful evaluation for their preferences. Moreover, iPhone 6 Plus launch signed one of the most historical memorable landmark in the development process of iPhone products when it introduced larger-screen iPhone model for the first time. It is such an important change of iPhone which could open a new continuing successful era for Apple and iPhone. The first phase of this study involves analyzing strengths and weaknesses existed considering the opportunities and threats from the competitive market, then a competitive advantage analysis is implemented for each product. The second phase conducts a survey with Vietnamese participants from different backgrounds, by which a Mann-Whitney U test will be executed to check the significant difference in opinions in different respondent groups by age and by gender to several features of two smartphones. By conducting the survey, some interesting facts revealed with the winner seemingly falling into iPhone 6 Plus. However, it still reveals some significant difference among respondent groups by age and by gender to both iPhone 6 Plus and Samsung Galaxy Note 4 in several comparing features.