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Reading on the World Wide Web has become a daily habit nowadays. This can be seen from the perspective of changes on readers’ tendency to be more interested in materials from the internet, than the printed media. Taking these developments into account, it is important for web-based instructional designers to choose the appropriate font, especially for long blocks of text, in order to enhance the level of students’ readability. Accordingly, this study aims to evaluate the effects of serif and san serif font in the category of screen fonts and print fonts, in terms of Malay text readability on websites. For this purpose, four fonts were selected, namely Georgia (serif) and Verdana (san serif) for the first respondents and Times New Roman (serif) and Arial (san serif) for the second respondents. Georgia and Verdana were designed for computer screens display. Meanwhile, Times New Roman and Arial were originally designed for print media. Readability test on a computer screen was conducted on 48 undergraduates. Overall, the results showed that there was no significant difference between the redability of serif and san serif font of both screen display category and print display category. Accordingly, the research findings and the literature overview, suggest that Verdana and followed by Georgia as the better choice in displaying long text on websites. Likewise, as anticipated, Times New Roman and Arial fonts provide good readability for print media, which reinfoces their status as the printing font category. However, with the current computer screen capability, it can still be an alternative option for instructional web developers.

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Technology provides ample opportunities for the acquisition and processing of physical, mental and social health primitives. However, several challenges remain for researchers as how to define the relationship between reported physical activities, mood and social interaction to define an active lifestyle. We are conducting a project, ATHENA(activity-awareness for human-engaged wellness applications) to design and integrate the relationship between these basic health primitives to approximate the human lifestyle and real-time recommendations for wellbeing services. Our goal is to develop a system to promote an active lifestyle for individuals and to recommend to them valuable interventions by making comparisons to their past habits. The proposed system processes sensory data through our developed machine learning algorithms inside smart devices and utilizes cloud infrastructure to reduce the cost. We exploit big data infrastructure for massive sensory data storage and fast retrieval for recommendations. Our contributions include the development of a prototype system to promote an active lifestyle and a visual design capable of engaging users in the goal of increasing self-motivation. We believe that our study will impact the design of future ubiquitous wellness applications.

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Notebooks are technological devices widely adopted to assist in human daily life including learning, business, communication and other tasks. Equipped with the distinctive features, notebook was facilitated more simply for one touch screen basis to enable freely in exploring the users’ creativity. This study attempts to examine the process of selecting notebook brand among the consumers. Using AHP (Analytical Hierarchy Process) to help decision support system in the selection of Notebook from decision support systems designed to enhance all decision-process through identifying problems, selecting relevant data and defining the approaches was used to evaluate the selection of alternatives in the decision-making process. The finding reveals that the visibility of decision making into the ranking of priority with alternative choice of notebook can be viewed as follows Zyrex 16%, HP 15%, Asus 14%, Apple 13%, Samsung and Axioo 11%, Acer and Toshiba with priority 10 %.

The emerging concern on intangible heritage in the international arena reflects the fear of cultural homogeneity, diminishing cultural diversity and human creativity. Cultural heritage is a symbol spiritual and intellectual wealth of a civilization, while intangible cultural heritage is associated to tradition and living expressions. There is a need to preserve these fragile assets so they would someday be oblivious in the modern world. Ironically, the potential strategy in preserving the intangible cultural heritage lies in the current advanced digital technology. This paper highlights major issues and challenges in the intangible cultural heritage preservation through technology, with regards to the content and the purpose associated to it.

Modern application domains such as Composite Event Recognition (CER) and real-time Analytics require the ability to dynamically refresh query results under high update rates. Traditional approaches to this problem are based either on the materialization of subresults (to avoid their recomputation) or on the recomputation of subresults (to avoid the space overhead of materialization). Both techniques have recently been shown suboptimal: instead of materializing results and subresults, one can maintain a data structure that supports efficient maintenance under updates and can quickly enumerate the full query output, as well as the changes produced under single updates. Unfortunately, these data structures have been developed only for aggregate-join queries composed of equi-joins, limiting their applicability in domains such as CER where temporal joins are commonplace. In this paper, we present a new approach for dynamically evaluating queries with multi-way θ-joins under updates that is M. Idris