The objective of this study was to evaluate the characteristics of the fashion narrative from the commercial and artistic viewpoints by identifying and evaluating the attributes of the fashion narrative and analyzing the fashion narrative focusing on various cases according to fashion media. Louis Vuitton, a brand of the Louis Vuitton $Mo{\ddot{e}}t$ Hennessy (LVMH) group that operates the entire fashion community platform, is recognized as an influential luxury company with enormous capital and capabilities. This study targeted Louis Vuitton to examine the fashion narrative. The common results of Louis Vuitton's fashion narrative according to the communication platform are as follows. First, it emphasizes well-designed craftsmanship and artistry to convey the value and meaning of the brand. Second, it expresses the lifestyle of the bourgeoisie using traveling for finding life purpose, nature, and freedom as common denominators. Louis Vuitton connects, shares, and engages with customers by crossing the communication platform and trying multi-sensory changes based on the fashion narrative of the 'artification' message encompassing craftsmanship, innovation, and travel. The fashion narrative of Louis Vuitton applies tools (e.g., design, direction, stage, and props) differently according to the nature of media. In other words, the fashion narrative in the form of transmedia storytelling is a marketing communication strategy that indicates the representation means and direction of a brand's goals by remediating the brand narrative in various ways through the communication platform.
The Journal of the Convergence on Culture Technology
/
v.7
no.3
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pp.383-395
/
2021
The diversity of urban landscapes is established by dynamic characteristics such as language, color, and their movement, which are the building environment, street patterns, and people. With the increase of foreign migrants in Korea, new guidelines are needed in terms of local community administration and land policy. Administrative, sociological, and geographical studies have been conducted on the steadily increasing number of foreign migrants since the 2000s, but it is difficult to establish for making safe and healthy communities through which different cultures and lifestyles of each country and ethnic group undergo some integration with the existing host society. There are limitations in identifying the lack of statistical data and the representation of a minority proportion of foreign residents. In order to analyze the core elements of the integrated strategy of the local community, the residential behavior and spatial characteristics of foreign migrants must first be identified.
Nominalization is one of the grammatical metaphors, and it is the representation of verbal meaning through noun equivalent phrases. In mathematical word problems, texts using nominalization have both the advantage of clarifying the object to be noted in the mathematization stage, and the disadvantage of complicating sentence structure, making it difficult to understand the sentences and hindering the experience of the full steps in mathematical modelling. The purpose of this study is to analyze word problems in the textbooks from the perspective of nominalization, a linguistic element, and to derive implications in relation to students' difficulties during solving the word problems. To this end, the types of nominalization of 341 word problems from the content domain of 'Numbers and Operations' of elementary math textbooks according to the 2015 revised national curriculum were analyzed in four aspects: grade-band group, main class and unit assessment, specialized class, and mathematical expression required word problems. Based on the analysis results, didactical implications related to the linguistic expression of the mathematical word problems were derived.
Nor Fadzilah Abdullah;Ammar Riadh Kairaldeen;Asma Abu-Samah;Rosdiadee Nordin
KSII Transactions on Internet and Information Systems (TIIS)
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v.18
no.7
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pp.1986-2009
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2024
The integration of blockchain technology with the rapid growth of Internet of Things (IoT) devices has enabled secure and decentralised data exchange. However, security vulnerabilities and performance limitations remain significant challenges in IoT blockchain networks. This work proposes a novel approach that combines transaction representation and machine learning techniques to address these challenges. Various clustering techniques, including k-means, DBSCAN, Gaussian Mixture Models (GMM), and Hierarchical clustering, were employed to effectively group unlabelled transaction data based on their intrinsic characteristics. Anomaly transaction prediction models based on classifiers were then developed using the labelled data. Performance metrics such as accuracy, precision, recall, and F1-measure were used to identify the minority class representing specious transactions or security threats. The classifiers were also evaluated on their performance using balanced and unbalanced data. Compared to unbalanced data, balanced data resulted in an overall average improvement of approximately 15.85% in accuracy, 88.76% in precision, 60% in recall, and 74.36% in F1-score. This demonstrates the effectiveness of each classifier as a robust classifier with consistently better predictive performance across various evaluation metrics. Moreover, the k-means and GMM clustering techniques outperformed other techniques in identifying security threats, underscoring the importance of appropriate feature selection and clustering methods. The findings have practical implications for reinforcing security and efficiency in real-world IoT blockchain networks, paving the way for future investigations and advancements.
This study configured an integrated math program in which young children can directly participate through storytelling, a teaching technique that has recently earned great popularity. The purpose of the study is to have a positive effect on their mathematical disposition and self-efficacy through the adoption of this program. The program consists of the following five themes: 'understanding of the basic concept of numbers and calculation', 'understanding of the basic concept of space and figure', 'basic measurement', 'understanding of rules' and 'basic data collection and result representation'. The specific activities for each theme planned and executed according to a detailed plan were designed for 20 classes including integrated activities such as story sharing, fine arts and games. The study's participants were 48 five-year old children. The result of the research was that the experimental group's mathematical disposition and self-efficacy score was significantly higher than the control group. The Storytelling-Integrated Math Program was effective in young children's cultivating mathematical disposition and improving self-efficacy. Considering the reality that there has been some confusion and difficulty in carrying out storytelling math and an integrated math program based on the NURI curriculum, it appears that this study could provide a specific and effective teaching-learning program to teachers who want to introduce a program like this.g
Wui, Jackson CHANG Hian;Pien, CHEE Fuei;Kai, Steven KONG Soon;SENTIAN, Justin
Asian Journal of Atmospheric Environment
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v.12
no.2
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pp.109-126
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2018
This paper presents seasonal variation of $PM_{10}$ over five urban sites in Sabah, Malaysia for the period of January through December 2012. The variability of $PM_{10}$ along with the diurnal and weekly cycles of CO, $NO_2$, $SO_2$, and $O_3$ at Kota Kinabalu site were also discussed to investigate the possible sources for increased $PM_{10}$ concentration at the site. This work is crucial to understand the behaviour and possible sources of $PM_{10}$ in the urban atmosphere of Sabah region. In Malaysia, many air pollution studies in the past focused in west Peninsular, but very few local studies were dedicated for Sabah region. This work aims to fill the gap by presenting the descriptive statistics on the variability of $PM_{10}$ concentration in the urban atmosphere of Sabah. To further examine its diurnal and weekly cycle pattern, its responses towards the variations of CO, $NO_2$, $SO_2$, and ozone were also investigated. The highest mean value of $PM_{10}$ for the whole study period is seen from Tawau ($35.7{\pm}17.8{\mu}g\;m^{-3}$), while the lowest is from Keningau ($31.9{\pm}18.6{\mu}g\;m^{-3}$). The concentrations of $PM_{10}$ in all cities exhibited seasonal variations with the peak values occurred during the south-west monsoons. The $PM_{10}$ data consistently exhibited strong correlations with traffic related gaseous pollutants ($NO_2$, and CO), except for $SO_2$ and $O_3$. The analysis of diurnal cycles of $PM_{10}$ levels indicated that two peaks were associated during the morning and evening rush hours. The bimodal distribution of $PM_{10}$, CO, and $NO_2$ in the front and at the back of ozone peak is a representation of urban air pollution pattern. In the weekly cycle, higher $PM_{10}$, CO, and $NO_2$ concentrations were observed during the weekday when compared to weekend. The characteristics of $NO_2$ concentration rationed to CO and $SO_2$ suggests that mobile sources is the dominant factor for the air pollution in Kota Kinabalu; particularly during weekdays.
Background: Ovarian cancer is ranked as the fifth most common cause of cancer death in women. In Malaysia, it is the fourth most common cancer in females. CA125 has been the tumor marker of choice in ovarian cancer but its diagnostic specificity in early stages is only 50%. Hence, there is a critical need to identify an alternative tumor marker that is capable of detecting detect ovarian cancer at an early stage. HE4 is a new tumor marker proposed for the early diagnosis of ovarian cancer and disease recurrence. Currently, none of the normal ranges of HE4 quoted in the literature are based on data for a multiethnic Asian population. Therefore, the aim of this study was to determine reference intervals for HE4 in an Asian population presenting in University Malaya Medical Centre, a tertiary reference hospital. Materials and Methods: 300 healthy women were recruited comprising 150 premenopausal and 150 postmenopausal women, aged from 20-76 years. All women were subjected to a pelvic ultrasonograph and were confirmed to be free from ovarian pathology on recruitment. Serum HE4 levels were determined by chemiluminescent microparticle immunoassay (CMIA, Abbott Architect). The reference intervals were determined following CLSI guidelines (C28-A2) using a non-parametric method. Results: The upper limits of the $95^{th}$ percentile reference interval (90%CI) for all the women collectively were 64.6 pmol/L, and 58.4 pmol/L for premenopausal) and 69.0 pmol/L for postmenopausal. The concentration of HE4 was noted to increase with age especially in women who were more than 50 years old. We also noted that our proposed reference limit was lower compared to the level given by manufacturer Abbott Architect HE4 kit insert (58.4 vs 70 pmol/L for premenopausal group and 69.0 vs 140 pmol/L in the postmenopausal group). The study also showed a significant difference in HE4 concentrations between ethnic groups (Malays and Indians). The levels of HE4 in Indians appeared higher than in Malays (p<0.05), while no significant differences were noted between the Malays and Chinese ethnic groups. Conclusions: More data are needed to establish a reference interval that will better represent the multiethnic Malaysian population. Probably a larger sampling size of equal representation of the Malay, Chinese, Indians as well as the other native ethnic communities will give us a greater confidence on whether genetics plays a role in reference interval determination.
Lots of virtual communities and online businesses presently derive their primary sources of revenues through advertising, but nevertheless are plagued with marginal profitability though they might possess a significant user base. In the light of the need for an efficacious business model, there have been recent insights of an online community in particular reaping profits through an innovative and lucrative revenue generation method that earns by selling digital items. There have been some obvious evidences (e.g., Cyworld, SecondLife, Habo Hotel, etc.) that online communities can be profitable through their unique business model of selling digital items. However, there is lack of understanding about the motivation of purchasing digital items. This study tries to identify the main motivators of digital item purchases based on social/individual identity theory and self-presentation theory. "Digital items", otherwise known as "virtual assets", may include online avatars, accessories for the avatars, decorative ornaments like furniture, digital wallpapers, skins, background music and virtual weapons used for Internet games. These digital items are employed by users for representation and articulation in the online space, especially to create and enhance their online profiles in web pages and games. Prices for digital items typically range from a few cents to a few dollars each. Based on the theoretical framework like social identity theory and self-presentation theory, we developed the research model and proposed seven hypotheses. An analysis of 225 members of Cyworld found that digital item purchase intention in virtual world is affected by both members' need for self-presentation and need for affiliation. We also found that the need for self-presentation is significantly increased by innovativeness of members, community group norm, and community involvement. We concluded that the need for self-presentation could be a key variable for profitable business model in online community service industry. However, neither individual self-efficacy nor the need for affiliation significantly influenced the need for self-presentation which triggers purchase intention of digital items. In term of the theoretical and practical contribution, this study can be a pioneering empirical research that investigates the purchase intention of digital items based on social identity theory and self-presentation theory in the online context. Also, the findings of our study are valuable and practical for practitioners in the market who wish to adopt or improve the business model of selling digital items in an online community. From the findings, it can be seen that innovativeness of users, community group norm, and community involvement are three significant factors that influence need for self-presentation of users which ultimately leads to their intentions to buy digital items. These findings put forth that virtual community providers and online businesses selling digital items should prioritize their efforts and focus on these three factors if they want to increase the sales of these digital items and generate greater revenues. This study provides important implications for academic researchers and practitioners to understand why the community members pay money for their digital items in virtual world and how the practitioners can increase the sales of digital items in an online community. A couple of limitations of the study and future research directions are also discussed.
Prevalence of common three-dimensional display progresses, increasing the demand for three-dimensional content. Starting from the year 2010 to meet increasing 2D to 3D conversion is insufficient to meet demand content was presented as an alternative. But, Convert 2D to 3D stereo effect only emphasizes content production as a three-dimensional visual fatigue and the degradation of the Quality problems are pointed out. In this study, opened in 2011 'Scenes Guan', the 13 selected Scene is made of the three-dimensional transform the content and the Quality of the transformation applied to the Depth-Map is a visual representation of three-dimensional fatigue and, the adequacy of whether the expert has group interviews and surveys were conducted. Many of the changes are applied to the motion picture of the three-dimensional configurations of Depth-Map conversion technology used in many ways before and after the analysis of the relationship of cascade configurations to create a depth map to the stage. Experiments, presented in this study is a three-dimensional configuration of Depth-Map transformation can lower the production of a three-dimensional visual fatigue and improve the results obtained for a reasonable place was more than half of the experiment accepted the expert group to show a positive reaction were. The results of this study with a rapid movement to convert 2D images into 3D images of applying Depth-map configuration cascade manner to reduce the visual fatigue, to increase the efficiency, and has a three-dimensional perception is the result derived.
A speech processing model based on a psycholinguistic approach can identify the specific speech processing deficits of children with speech sound disorders (SSDs) through various pathways. In most cases, the cause of the speech problem with SSD children is unknown, so it is important to identify the underlying strengths and weaknesses for individualized intervention. In addition, because the native language deficits can also affect foreign language production, it is necessary to examine speech processing abilities between the two languages. This study is a preliminary study to develop a Korean-English speech processing task system. Speech production task and speech processing task (DT, PRT, NRT) were conducted both in Korean and English on 10 children with SSD and 20 normal children (NSA). As a result, the SSD group showed significantly lower production ability than the NSA group in both languages. As a result of the speech processing task, there was no significant difference in the discrimination task (DT), while there was a significant difference between language types in the phonological representation task (PRT) and between language types and groups in the nonword repetition task (NRT). The results of this study confirmed that children's native language and foreign language processing skills may be different, and that the sub-tasks of speech processing system should be further subdivided.
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