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BACKGROUND Chepang communities are one of the most deprived ethnic communities in Nepal. According to the National Pathfinder Survey, dental caries is a highly prevalent childhood disease in Nepal. There is no data concerning the prevalence of caries along with knowledge, attitude and oral hygiene practices among Chepang schoolchildren. The objectives of(More)
Analysis of spatio-temporal data often involves correlating different events in time and location to uncover relationships between them. It is also desirable to identify different patterns in the data. Visualizing time and space in the same chart is not trivial. Common methods includes plotting the latitude, longitude and time as three dimensions of a 3D(More)
Free/Libre and Open source software are generally maintained by a group of developers contributing to the software voluntarily without the presence of any governing institution. Online collaboration platforms and sub-version systems allow developers from all over the world with the necessary skills to contribute to the software. Recently, there has been(More)
Archives of human rights violations reports, by virtue of their poor metadata, basis in natural language, and scale, obscure fine grain analyses of violation event patterns. Cross-document coreference of victim or perpetrator occurrences from across a corpus is challenging, particularly when those mentions relate to different events. These challenges are(More)
This paper describes a new method for narrative frame alignment that extends and supplements models reliant on graph theory from the domain of fiction to the domain of non-fiction news articles. Preliminary tests of this method against a corpus of 24 articles related to private security firms operating in Iraq and the Blackwater shooting of 2007 show that(More)
Automated cross-document comparison of narrative facilitates co-reference and event similarity identification in the retellings of stories from different perspectives. With attention to these outcomes, we introduce a method for the unsupervised generation and comparison of graph representations of narrative texts. Composed of the entity-entity relations(More)
Visual analytic techniques are useful for studying patterns and relationships hidden in very large data sets. However, a common problem in visualizing large data sets is visual cluttering. When data get large, visual elements often get crowded, making it difficult for viewers to conduct analysis. In this paper, we present a novel method that reduces visual(More)
The amount of spatio-temporal data produced everyday has sky rocketed in the recent years due to the commercial GPS systems and smart devices. Together with this, the need for tools and techniques to analyze this kind of data have also increased. A major task of spatio-temporal data analysis is to discover relationships and patterns among spatially and(More)