In this paper, we design and implement a distributed file system with multi-source data replication ability, called Grid File System (GFS), for Unix-based grid systems. Traditional distributed file system technologies designed for local and campus area networks do not adapt well to wide area grid computing environments. Therefore, we design GFS file system that meets the needs of grid computing...

Multisource or 360-degree feedback has become a widely used component of leadership development in many organizations, and a growing body of research supports its use for this purpose. Unfortunately, most commercially available multisource surveys were developed in private-sector corporate settings, making their transferability to healthcare settings less than straightforward. This article desc...

This study extends multisource feedback research by assessing the effects of rater source and raters' cultural value orientations on rating bias (leniency and halo). Using a motivational perspective of performance appraisal, the authors posit that subordinate raters followed by peers will exhibit more rating bias than superiors. More important, given that multisource feedback systems were premi...

The compilation of comprehensive, worldwide epidemiologic data can inform hypotheses on cancer etiology and guide future drug development. These statistics are reported by a multitude of sources using varying methods; thus, compiling a complete database of these statistics is a challenge. To this end, this paper examined the usefulness of a novel, multisource approach-extracting data from the p...

Information Extraction using multiple information sources and systems is beneficial due to multisource/system consolidation and challenging due to the resulting inconsistency and redundancy. We integrate IE and truth-finding research and present a novel unsupervised multi-dimensional truth finding framework which incorporates signals from multiple sources, multiple systems and multiple pieces o...

This paper analyzes the requirements and presents a novel approach to the development of a system for epidemiological data collection and integration based on the principles of interoperability and modularity. Accurate and timely epidemic models require the integration of large, fresh datasets. Thus, from an e-science perspective, collected data should be shared seamlessly across multiple appli...

In this paper, a method to solve the localization of concurrent multiple acoustic sources in large open spaces is presented. The problem of the multisource localization in far-field conditions is to correctly associate the direction of arrival (DOA) estimated by a network array system to the same source. The use of systems implementing a Bayesian filter is a traditional approach to address the ...

Macroeconomic forecasts enable the policy-makers to foresee the future economic trends and take prompt measures to ensure longer economic growth and quicker economic recovery. Accurate and timely macroeconomic forecasts may also help the enterprises to make better long-term business strategies. Social media has a swift and sensitive response to economic dynamics through online news reports, int...