This study attempts to discover the pattern of rural library usage among rural youth in Malaysia and to determine the problems that are associated with such usage. The findings of this study provide an insight into youth usage of rural library services. The most obvious pattern that resulted from the findings is the connection between library usage and the availability of reading materials. Fur...

BACKGROUND Obesity and other adverse health outcomes are influenced by individual- and neighbourhood-scale risk factors, including the food environment. At the small-area scale, past research has analysed spatial patterns of food environments for one time period, overlooking how food environments change over time. Further, past research has infrequently analysed relative healthy food access (RH...

Organizations and firms are increasingly capturing more data about their customers, suppliers, competitors, and business environment. Most of this data is multi-attribute (multi-dimensional) and temporal in nature. Data mining and business intelligence techniques are typically used to discover patterns in this data; however, mining meaningful temporal relationships is often difficult. We introd...

Background Studies suggest that rates of anaphylaxis, the most severe form of an allergic reaction, are increasing in Pediatric Emergency Departments (PED). Significant gaps still exist regarding the prevalence, triggers and temporal trends of anaphylaxis in Canada. The Cross-Canada Anaphylaxis Registry (C-CARE) was created with the primary goal of determining the societal burden of anaphylaxis...

OBJECTIVES To evaluate trends in the HIV epidemic among men who have sex with men (MSM) in San Francisco and the implications for HIV prevention. METHODS An ecological approach assessed temporal trends in sexual risk behaviour, sexually transmitted infections (STI), HIV incidence and prevalence from multiple data sources between 1998 and 2007. RESULTS By 2007, there were over 13 000 HIV-inf...

Data warehouses contain valuable information for decisionmaking purposes, they can be queried and visualised with Online Analytical Processing (OLAP) tools. They contain time-related information and thus representing and reasoning on temporal data is important both to guarantee the efficacy and the quality of decision-making processes, and to detect any emergency situation as soon as possible. ...

Until recently, it has been commonplace both to deplore the lack of realism in most, if not all, genetic models used in the study of human populations and to acknowledge that few data existed from which improvements might stem. Interest and energy have, however, begun to focus upon the collection of data which hopefully will serve as bases for the formulation of more insightful and presumably m...

Heart failure (HF) is the most common cause for admission in patients over 65 and hospitalisations account for almost 1% of the health care budget in Ireland. A need to understand the epidemiological data in relation to hospitalisations for HF plays an important part in the planning and distribution of heart care services. The aim of this study was to analyse the temporal trends in hospitalisat...

Most existing methods of web content mining assume a static nature of the web documents. This approach is inadequate for long-term monitoring and analysis of the web content, since both the users' interests and the content of most web sites are subject to continuous changes over time. In this research, we are interested in developing computationally intelligent and efficient text mining techniq...