Documentation in research activities consist of multiple works. Such combined documenting involves the contexts in its processes of polish. Polish contexts are often valuable hints that can be utilized for later works. However, it is difficult for most users, especially beginners, to manage the polish contexts and utilize them satisfactorily. This research aims to develop methods for organizing the contexts along with their strategic accumulation. A method to extract the important portion of the accumulated context information network is also proposed.
A transdermal patch formulation of a non-steroidal anti-inflammatory drug (NSAID) used by a 44-year-old man resulted in acute interstitial nephritis and acute tubular injury. This patient also had a history of mild kidney dysfunction and osteoporosis. The NSAID patch had been prescribed after a traffic accident. He was also receiving a vitamin D analog and taking over-the-counter calcium supplements. Two months later, renal dysfunction and hypercalcemia were discovered. A renal biopsy showed acute interstitial nephritis and acute tubular injury. Once these agents were withdrawn, the renal function recovered. This is the first reported occurrence of biopsy-proven acute interstitial nephritis attributable to NSAID patch usage.
This paper describes a method for extracting the search contexts on the basis of the analysis of search history data such as viewed Web pages, search queries, and bookmarks during collaborative exploration activities. There are many opportunities for collaborative exploration in the form of cooperative work at educational organizations such as universities. It is quite significant for collaborative explorers to mutually grasp search contexts in order to successfully progress the exploration. However, it becomes increasingly difficult and complicated for explorers to comprehend contexts as search histories when search periods lengthen. The goal of this research is to achieve novel support for extracting the search contexts and their visualizations so that novices in collaborative exploration can understand their exploration activities.
This research aims to realize a Web exploration support by dynamic presentation of useful pages in accordance with a user's behaviors of page selection. At first, Authors develop a method to extract user's intentions of exploration based on his/her initial focus pages. Authors also develop an algorithm to estimate potential of usefulness of unchecked pages using the extracted intentions. Then, authors design a support system for Web exploration introducing these methods. This system provides smart interface for easy operation of page selections. This system also presents the potential of usefulness of each page to a user visually by color-classification so that he/she can intuitively understand it. Consequently, this system enables efficient selection and examination of initial focus pages.
In this research, a method to effectively support Web exploring is developed. A promising approach is extraction of topic transition processes on the Web and their visualization. Specifically, this research develops algorithms to cooperatively extract 1) Remarkable points in topic transitions among Web documents and 2) Border lines for clustering Web documents in accordance with topics. This paper mainly describes an outline of the proposed method and an algorithm for extracting the topic changing points. This paper also describes an experiment to evaluate the algorithm. Finally, feature and basic effectiveness of our method are discussed based on the results of the experiment.
A Web exploration by using search engines is increasingly becoming the mainstream in recent years. Users prepare many various search queries and select web pages obtained by the queries. Then, it is much beneficial for users to look back own web exploration streams. For example, this looking back may help users to understand own exploration or to become aware of novel potential knowledge. In this research, authors propose a web exploration support system which visualizes a user's web exploration streams. Moreover, the support system that presents the relationships between plural exploration streams to users. In this paper, authors describe basic research concepts and an overview of the support system.
This research aims to develop a support system for management of research resources focusing on their polish processes. This system provides visual environment for strategic accumulation of the various resources handled in research seminar together with their polish processes. This paper mainly describes an overview of the prototype that targets presentation slides and its functions such as comfy annotating, estimation of correspondence between the different versions of slides, visualization of polish footprints and alert of miss-polish parts. This system enables research novices to effectively progress their research activities by understanding the polish processes.
Research activities are composed of stacks of several tasks such as surveys, creation of novel ideas, writing of research documents, and their elaboration. It is quite important to successfully accumulate the results and circumstances of these tasks (i.e., contexts). It is further important but dif ficult to understand the contexts and to apply them to later work. In particular, it is much more difficult for research beginners to ensure noteworthy targets within contexts that continuously increase as the work progresses. The final goal of this research is to develop methods for supporting the accumulation of contexts and facilitating their utilization by visually presenting those that are noteworthy to research beginners. This paper mainly describes a method for organizing the contexts and extracting important portions from huge organized contexts. This paper also describes an experiment that was conducted by using actual history data, and discusses the features of the proposed methods on the basis of the results.
