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"There is a general belief that the quality of Twitter data streams is generally low and unpredictable, making, in some way, unreliable to take decisions based on such data. The work presented here addresses this problem...

This paper addresses how people selectively interpret images and sounds which circulate through the global media, investing politically-charged forms of popular culture with new, locally significant political meanings. H...

"This article identifies and analyzes some of the main knowledge gaps that affect the development of climate adaptation policies in the Latin American context. It is based on a comparative analysis of online survey resul...

"Graph databases are becoming increasingly popular for modeling different kinds of networks for data analysis. They are built over the property graph data model, where nodes and edges are annotated with property-value p...

"Usually, data in data warehouses (DWs) are stored using the notion of the multidimensional (MD) model. Often, DWs change in content and structure due to several reasons, like, for instance, changes in a business scenari...

"There is a general belief that the quality of Twitter data streams is generally low and unpredictable, making, in some way, unreliable to take decisions based on such data. The work presented here addresses this problem...

The thesis addresses the problem of automatic and dynamic tuning of parallel and distributed applications. Our objective is to help developers in the process of improving the application performance. The work presents a ...

This paper addresses the problem of contour line extraction from scanned topographic maps in poor condition. A novel method is developed, using knowledge of cartography and graphics to extract contours by removing other ...

This thesis observes the emerging trend of convergence of control with computing and communication. By exploiting control and scheduling codesign, we study some practical and open problems in RTCSs from a unique viewpoin...

Continuous IC process enhancements make possible to integrate on a single chip the re-sources required for simultaneously executing multiple control flows or threads, exploiting different levels of thread-level paralleli...

This study proposes and tests a dynamic online learning model designed to enhance student engagement, performance, and satisfaction. Grounded in active methodologies, gamification, and flipped learning, the model address...

With the rapid increase in the complexity of chips and the popularity of portable devices, the performance demand is not any more the only important constraint in the embedded system. In stead, energy consumption has bec...

Graph databases are increasingly being used for modeling complex networks using the property graph data model, which annotates nodes and edges in a graph with property-value pairs. However, existing research primarily fo...

The acute respiratory distress syndrome (ARDS) was defined in 1994 by the American-European Consensus Conference (AECC); since then, issues regarding the reliability and validity of this definition have emerged. Using a ...

Over the last three decades, the French sociologist Pierre Bourdieu has produced one of the most imaginative and subtle bodies of social theory and research of the post war era. Yet, despite the influence of his work, no...

A fundamental problem that confronts peer-to-peer applications is to efficiently locate the node that stores a particular data item. This paper presents Chord, a distributed lookup protocol that addresses this problem. C...

Cognitive radio is viewed as a novel approach for improving the utilization of a precious natural resource: the radio electromagnetic spectrum. The cognitive radio, built on a software-defined radio, is defined as an int...

OBJECTIVES: This study attempts to develop a comprehensive set of comorbidity measures for use with large administrative inpatient datasets. METHODS: The study involved clinical and empirical review of comorbidity measur...

BACKGROUND: Functional annotation of differentially expressed genes is a necessary and critical step in the analysis of microarray data. The distributed nature of biological knowledge frequently requires researchers to n...

Nonalcoholic fatty liver disease (NAFLD) is characterized by hepatic steatosis in the absence of a history of significant alcohol use or other known liver disease. Nonalcoholic steatohepatitis (NASH) is the progressive f...

A 16S rRNA gene database (http://greengenes.lbl.gov) addresses limitations of public repositories by providing chimera screening, standard alignment, and taxonomic classification using multiple published taxonomies. It w...

Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection of computer science a...

Chronic kidney disease (CKD) is a worldwide public health problem associated with a high prevalence of cardiovascular disease (CVD) and impaired quality of life. Previous research for preventing loss of glomerular filtra...

This chapter aims to develop one of perhaps multiple specifications of embeddedness, a concept that has been used to refer broadly to the contingent nature of economic action with respect to cognition, social structure, ...