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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)
OBJECTIVES To study the attitudes and experiences of Australian clinicians with dissociative disorders and the paths to diagnosis and experiences of patients. METHOD The attitudes of Australian clinicians to dissociative disorders and the experiences of patients were assessed by questionnaires. The clinicians were mental health specialists and a small(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)
The growth behaviour of AIcaligenes eutrophus on phenol was investigated in continuous cultures to identify the phenomena limiting both growth efficiency and substrate degradation rates. It was shown that the fixed stoichiometry of the meta pathway of phenol degradation, leading to equimolar quantities of pyruvate and acetate, and the structure of the(More)
OBJECTIVE To determine the pattern of resilience and adjustment following pediatric cancer diagnosis and to evaluate hope as a mediator of adjustment. METHODS 61 participants with pediatric cancer completed measures of hope, depression, anxiety, and quality of life (QoL) within 4 weeks of cancer diagnosis and every 3 months for 1 year. RESULTS(More)
PREFACE This is the ninth of a series of Working Papers prepared for the Pro-Poor Livestock Policy Initiative (PPLPI). The purpose of these papers is to explore issues related to livestock development in the context of poverty alleviation. Livestock is vital to the economies of many developing countries. Animals are a source of food, more specifically(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)
PREFACE This paper is part of a series of political economy Working Papers prepared for the InterGovernmental Authority on Development's Livestock Policy Initiative (IGAD LPI) and the Pro-Poor Livestock Policy Initiative (PPLPI) of the Food and Agriculture Organization (FAO) of the United Nations. The purpose of these papers is to explore strategic(More)