• Korean Institute of Interior Design Journal
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• v.23 no.4
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• pp.103-110
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• 2014

"I only went out for a walk, and finally concluded to stay out till sundown, for going out, I found, was really going in." (John Muir, 1938) Building interior and urban interior is understood as a single concept of interior: "the outside is always an inside" (Le Corbusier, 1929). Both are thus related to each other, and under the same system of meaning. Architecture comes from the making of an interior. A city comes out of the making of another interior felt as an undeniable inner demand; a street is "a community room by agreement" (Kahn, 1971) and a square is an open aesthetic room by agreement of community. Urban interior that contains our public life-world is an extension of the concept of interior that building interior contains our private/semipublic life-world. This paper explores the idea of interior and urban interior through literature research. The first site the paper traces is the physical interior, space, and place to figure out their meanings. The second site this paper illustrates is the transposition of the physical interior and the psychic interior, which influences the physical space where we create our own life-world. The last site the paper clarifies is the development of the idea of urban interior and the contextual rationale of urban interior. This ramble from building interior to urban interior discloses a twofold singular interior of both the building and urban interior that explains the meanings of interior, the scopes of interior, and the objects of interior to design and create interior.

• Korean Journal of Child Studies
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• v.16 no.2
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• pp.125-138
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• 1995

The purpose of the present research was to study developmental trends in categorical organization strategy. The subjects were 160 children - 40 nine - year - old boys, 40 nine - year - old girls, 40 seven - year - old boys, 40 seven - year - old girls. All subjects received one of three lists of items differing in category representativeness in either a free -recall or a sort -recall task. The selection of list materials permitted separation of the effects of age differences in category knowledge from those of knowledge per se on children's recall behavior. The tasks were administered to children individually with the memory task followed by the metamemory task. The data was analyzed with three - way ANOVA arid Pearson's correlation coefficient. The results were that (1) Children's recall, clustering, and metamemory increased with age, while age effects for clustering were restricted to the sort - recall/high typicality condition. At each age level, children showed higher level of recall, clustering and metamemory for category typical rather than atypical list, and sort - recall than free-recall. Level of clustering and metamemory were superior in the sort - recall task and for items of high category typicality. (2) 9 - year - old children were capable of deliberately and efficiently using category organization as a memory strategy at least when appropriate contextual support was present (as determined by task requirements and list materials: sort - recall/high typicality).

• The Korean Journal of Rehabilitation Nursing
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• v.14 no.2
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• pp.118-128
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• 2011

Purpose: The purpose of this study was to explore the experiences of bereavement for main family members who had made and followed DNR decision for their family members. Method: This qualitative study was based on a grounded theory, and used in-depth interview techniques with the bereaved 10 main family members who had been treated and died under DNR order. Results: The causal condition of the family member was 'Releasing', and the main consequent phenomenon were 'Blaming self and ruminating'. The contextual condition was 'The memory of the deceased'. The action/reaction strategy was 'Purifying'. The intervening condition was 'Supporting system', and the consequence was 'Acceptance'. The experience after bereavement of the family member on DNR decision were rational processes that purified themselves and healed the guilt feeling about the decision from reflective assessment and response about DNR decision. Based on this results, the substantive theory 'Reflective self healing' was derived. Conclusion: The main family members in following DNR decision are more likely to have unhealthy emotional condition than others in normal bereavement process. But they overcame the grief of bereavement through reflective self healing process.

• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.13-39
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• 2006

The primary purpose of this study is to examine the interaction effects of organizational characteristics as contextual variables on the relationship between relational exchange characteristics and ASP service performance. The effect of relational exchange characteristics on ASP service performance has been also investigated. For this purposes, we developed a research model based on the literature reviews of ASP services, relational exchange theory, and contingency theory. A total of 106 usable survey responses from companies using ASP services has been analyzed in the study. The findings indicate that (1) flexibility and partnership had a positive influence upon noneconomic profit, (2) information sharing had a positive influence upon economic profit, (3) organizational size and IS maturity had a partial moderating effect on the relationship between relational exchange characteristics and ASP service performance, and (4) the subgroup analysis, conducted to determine the exact nature of interaction effect, reveals that the relationship between relational exchange characteristics and noneconomic profit is significantly stronger with a high level of organizational size than with a low level, and that the relationship between relational exchange characteristics and economic profit is significantly stronger with a low level of IS maturity than with a high level.

• Journal of Information Technology Applications and Management
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• v.24 no.3
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• pp.23-49
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• 2017

This paper is part of the dissertation for an MSc in Project Management and Innovation of Strathclyde Business School The research aims at understanding how IT-SMEs (Small and Medium-sized Enterprises in Information Technology Business) implement and use Flexible Work Arrangements and Flexible Working Hours (FWH/FWA) in their organisations. In-depth interview data was collected from managers and business owners of 31 companies whose needs for Work-Life Balance varied. Results show that many factors positively influence IT-SMEs to use FWH/FWA. For example, customers and partners working at different work-hours, traffic congestions between home and office, and the general stereotype of IT personnel. However, the results also found several concerning factors that may hamper the success of FWH/FWA implementation. They include the inadequacy of management skills in tracking, monitoring, and assessing employee's real performance, contextual factors for Thai IT-SMEs, i.e. conflict resolution culture, IT people's protocol of communication exchanges, and shortcoming of technology infrastructure. The findings also show that many companies that had used FWA eventually stopped. Thus, a four-phase cyclical framework called PLIC (Purpose-Limitation-Implementation-Consequence) has been developed as an approach to FWH/FWA implementation.

• Women's Health Nursing
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• v.24 no.4
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• pp.379-391
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• 2018

Purpose: To describe nursing students' experience of sexual harassment during clinical practicum. Methods: An interpretive phenomenological qualitative approach was used to understand contextual experiences of participants. Individual in-depth interviews were conducted to collect data from thirteen nursing students who experienced sexual harassment during clinical practice in general hospitals at D metropolitan city. All interviews were recorded and transcribed into Korean and English. Transcripts were analyzed using the data analysis method described by Diekelmann, Allen, and Tanner. Results: The following 12 themes emerged from the data: 'unprepared to respond', 'lack of education', 'unsure about when behavior crosses the line', 'power differential for nursing students', 'balancing self-preservation with obligations to patients', 'shame', 'feeling responsible for not being able to prevent the harassment', 'impact on patient care', 'fear of what might have happened', 'fear of repercussions', 'long term impact', and 'peer support'. Conclusion: Participants in this study described feeling an obligation to care for their patients. However, they seemed to be unable to balance this while feeling vulnerable to sexual harassment with strong negative feelings. Helping students recognize and effectively deal with sexual harassment is a critical element to assure quality learning for participants and maintain quality of care during clinical practice.

• Journal of Distribution Science
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• v.19 no.11
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• pp.69-80
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• 2021

Purpose: Consumers have unique behaviors that are classified based on their interests and considerations before buying. They are predicted will change due to the pandemic of COVID-19. This study provides insights for retailers about the dynamic of consumer behavior before and during the pandemic, including future predictions. Research design, data and methodology: The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement was applied in this study. Seven studies that were selected from five databases meet the criteria for cohort and cross-sectional analyses of gender, age, store types, and environmental concerns. Results: Consumer's gender and age contribute to consumer behavior change. Both offline and online stores can be integrated as omnichannel rather than substitute each other. Product distribution and consumer budget need to be reevaluated by retailers, while internet security is the most essential factor when developing their online transactions. Conclusions: COVID-19 pandemic has a significant impact on changing consumer behavior in most countries. Retailers are encouraged to adapt to the changes by modifying their business model with technology. However, it is still speculated and cannot be generalized due to different cultural and contextual factors. Future studies are always needed to synchronize along with the transition of consumers' behavior.

• Biomolecules & Therapeutics
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• v.30 no.1
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• pp.98-116
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• 2022

The small GTPase RhoA has been studied extensively for its role in actin dynamics. In this study, multiple bioinformatics tools were applied cooperatively to the microarray dataset GSE64714 to explore previously unidentified functions of RhoA. Comparative gene expression analysis revealed 545 differentially expressed genes in RhoA-null cells versus controls. Gene set enrichment analysis (GSEA) was conducted with three gene set collections: (1) the hallmark, (2) the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and (3) the Gene Ontology Biological Process. GSEA results showed that RhoA is related strongly to diverse pathways: cell cycle/growth, DNA repair, metabolism, keratinization, response to fungus, and vesicular transport. These functions were verified by heatmap analysis, KEGG pathway diagramming, and direct acyclic graphing. The use of multiple gene set collections restricted the leakage of information extracted. However, gene sets from individual collections are heterogenous in gene element composition, number, and the contextual meaning embraced in names. Indeed, there was a limit to deriving functions with high accuracy and reliability simply from gene set names. The comparison of multiple gene set collections showed that although the gene sets had similar names, the gene elements were extremely heterogeneous. Thus, the type of collection chosen and the analytical context influence the interpretation of GSEA results. Nonetheless, the analyses of multiple collections made it possible to derive robust and consistent function identifications. This study confirmed several well-described roles of RhoA and revealed less explored functions, suggesting future research directions.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.311-317
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• 2022

The research is devoted to the substantiation of the system approach to the involvement of digital marketing tools as a guarantee of international business development. It is proved that digital marketing, as a type of marketing based on the use of digital technologies allows to make a profit, to promote the brand, as well as goods and services in the market. The digital marketing toolkit system is a set of elements with existing relationships that ensure the effectiveness of the entire digital marketing, which in total is greater than its individual components. The implementation of a systems approach involves the implementation of the philosophy of digital marketing in general, its functions in the form of systems analysis, formation of strategic development goals and entry and promotion in the international market, preparation and implementation of tactical and strategic development plans.The use of such digital marketing tools as: content marketing, social media marketing, Email-marketing, targeted advertising, contextual advertising, media advertising, Search Engine Optimization, affiliate programs and the company's website is analyzed in detail.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3868-3888
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• 2022

A widely used social networking service like Twitter has the ability to disseminate information to large groups of people even during a pandemic. At the same time, it is a convenient medium to share irrelevant and unverified information online and poses a potential threat to society. In this research, conventional machine learning algorithms are analyzed to classify the data as either non-rumor data or rumor data. Machine learning techniques have limited tuning capability and make decisions based on their learning. To tackle this problem the authors propose a deep learning-based Rumor Detection Neural Network model to predict the rumor tweet in real-world events. This model comprises three layers, AttCNN layer is used to extract local and position invariant features from the data, AttBi-LSTM layer to extract important semantic or contextual information and HPOOL to combine the down sampling patches of the input feature maps from the average and maximum pooling layers. A dataset from Kaggle and ground dataset #gaja are used to train the proposed Rumor Detection Neural Network to determine the veracity of the rumor. The experimental results of the RDNN Classifier demonstrate an accuracy of 93.24% and 95.41% in identifying rumor tweets in real-time events.