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Data Fusion is the combination of a number of independent search results, relating to the same document collection, into a single result to be presented to the user. A number of probabilistic data fusion models have been shown to be effective in empirical studies. These typically attempt to estimate the probability that particular documents will be(More)
We investigate the roots of one of the world's most pernicious forms of exploitation: child sol-diering. We review a range of theories and show that most can be captured by a principal-agent model that incorporates punishments, indoctrination, and age-varying productivity. We argue it is almost always optimal to coerce rather than reward children, and show(More)
The Supervised Machine Learning task of classification has parallels with Information Retrieval (IR): in each case, items (documents in the case of IR) are required to be categorised into discrete classes (relevant or non-relevant). Thus a parallel can also be drawn between classi-fier ensembles, where evidence from multiple classifiers are combined to(More)
Through a comparison of two rural Tanzanian districts this paper traces the effects of a humanitarian influx—the arrival of refugees and international relief—on the economic practices of the host population in one Western Tanzanian district (Kasulu). It argues that, despite popular and Government claims to the contrary, there is little evidence that the(More)
3 1. Civil War and the Study of Economics I nternal civil conflict has been commonplace during the past half-century, a fact that, until recently, escaped the notice of most economists. Civil wars, or those internal conflicts that count more than 1,000 battle deaths in a single year, have afflicted a third of all nations. Counting civil conflicts, or those(More)
Blood contact with the prosthetic surfaces of artificial lungs causes extensive activation of molecular and cellular mediators of coagulation and inflammation that can lead to patient morbidity and mortality. To determine the effects of artificial lung fiber bundle shear stress and surface area on blood activation, porcine blood was recirculated for 4 hours(More)
The SIFT (Segmented Information Fusion Techniques) group in UCD is dedicated to researching Data Fusion in Information Retrieval. This area of research involves the merging of multiple sets of results into a single result set that is presented to the user. As a means of both evaluating the effectiveness of this work and comparing it against other retrieval(More)
Objectives. To review the current protocols used for management of Ludwig's angina and to assess the efficacy of conservative measures in these cases. Methods. A retrospective review of patients who were admitted to our institution for management of Ludwig's angina between 2003 and 2010. Results. Two patients were identified. Both were managed successfully(More)