917 resultados para expert-assistance


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Srinivasan, A., King, R. D. and Bain, M.E. (2003) An Empirical Study of the Use of Relevance Information in Inductive Logic Programming. Journal of Machine Learning Research. 4(Jul):369-383

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2010-12 Expert Assistance with research material, digital illustration and text for Visitor Centres in Malta and Gozo (Heritage Malta) and National Museum

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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Acknowledgements: We thank Ms Margaret Fraser, Ms Samantha Flannigan, and Dr Wing Yee Kwong for their expert assistance. The staff at Grampian NHS Pregnancy Counselling Service were essential for collecting fetuses. We thank Professor Geoffrey Hammond and Dr Marc Simard, University of British Colombia for helpful comments on the manuscript. Supported by grants as follows: Scottish Senior Clinical Fellowship (AJD); Chief Scientist Office (Scottish Executive, CZG/1/109 to PAF, & CZG/4/742 (PAF & PJOS); NHS Grampian Endowments 08/02 (PAF, SB & PJOS); the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no 212885 (PAF & SMR); the Medical Research Council grants MR/L010011/1 (PAF & PJOS) and MR/K018310/1 (AJD). None of the funding bodies played any role in the design, collection, analysis, and interpretation of data, in the writing of the manuscript, nor in the decision to submit the manuscript for publication

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Acknowledgments The staff at Grampian National Health Service Pregnancy Counseling Service were essential for collecting fetuses. We thank the Aberdeen Proteomics Core Facility (University of Aberdeen) for their expert assistance. Support for the study was provided by the Chief Scientist Office (Scottish Executive, CZG/1/109, & CZG/4/742), National Health Service Grampian Endowments (08/02), the European Community's Seventh Framework Programme (FP7/2007–2013) under grant agreement no 212885, and the Medical Research Council, UK (MR/L010011/1).

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Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved. Funding The study was funded by TENOVUS Scotland (G12/14). Jan Jansen is in receipt of salary support through the NHS Research Scotland (NRS) fellowship scheme. Acknowledgements The authors are extremely grateful for the expert assistance and contributions of Dr Neil Scott (Medical Statistician, University of Aberdeen), Win Culley (Research Nurse, Woodend Hospital), Dr Karen Cranfield (Consultant Anaesthetist), and Ms Sharon Wood, (Research Technician, Rowett Institute of Nutrition and Health) for fibrinogen measurement.

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Acknowledgements This paper belongs to the studies carried out by Kuopio Birth Cohort consortium (www.KuBiCo.fi). We thank Ms Pirjo Hänninen for expert laboratory assistance at University of Eastern Finland, Ms Margaret Fraser, Dr Panagiotis Filis and the Proteomics Core Facility at the University of Aberdeen for their expert assistance. We also thank the staff of the Department of Obstetrics and Gynaecology in Kuopio University Hospital for skilful collection of these specimens. This work was supported by the Academy of Finland [122859/2007], the Helena Vuorenmies Foundation, the Emil Aaltonen Foundation, the University of Eastern Finland Doctoral Programme in Drug Research and the Medical Research Council, UK [MR/L010011/1]. The funders played no roles in study design, data collection, data analysis, manuscript preparation and/or publication decisions.

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The Economic Commission for Latin America and the Caribbean (ECLAC) has been a pioneer in the field of disaster assessment and in the development and dissemination of the Disaster Assessment Methodology. The organization’s history in assessing disasters started in 1972 with the earthquake that struck Managua, Nicaragua. Since then, ECLAC has led more than 90 assessments of the social, environmental and economic effects and impacts of disasters in 28 countries in the region. The Sustainable Development and Disaster Unit provides expert assistance in disaster assessment and disaster risk reduction to Caribbean states and to all countries across Latin America. Considering that assessing the effects and impacts of disasters is critical to the Latin American and Caribbean countries, the Unit has started a new cycle of training courses. The training is designed for policymakers and professionals involved directly with disaster risk management and risk reduction. Additionally, and since the methodology is comprehensive in approach, it is also designed for sector specialists, providing a multisectoral overview of the situation after a disaster, as well as an economic estimate of the damages, losses and additional costs. In an attempt to strengthen disaster risk reduction through its financial instruments, the National Bank for Economic and Social Development (BNDES for its acronym in Portuguese) of Brazil requested that ECLAC undertake a four-day training programme on the Disaster Assessment Methodology.

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In medical negligence litigation expert evidence has long played a dominant role. The trend towards the use of concurrent expert evidence is now well underway. However, for the lawyers and the doctors involved, the pathway is not yet familiar. Disputes have frequently arisen in the context of pre-hearing expert conclaves, given the adversarial nature of litigation and perhaps fuelled by fears of a less transparent process at this increasingly important stage. This article explains the concurrent expert evidence framework and examines areas of common dispute both in the conclaves and at trial, with a view to providing assistance to legal practitioners working in this area and the medical practitioners called upon to provide expert evidence in such litigation.

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Current trends in the fields of artifical intelligence and expert systems are moving towards the exciting possibility of reproducing and simulating human expertise and expert behaviour into a knowledge base, coupled with an appropriate, partially ‘intelligent’, computer code. This paper deals with the quality level prediction in concrete structures using the helpful assistance of an expert system, QL-CONST1, which is able to reason about this specific field of structural engineering. Evidence, hypotheses and factors related to this human knowledge field have been codified into a knowledge base. This knowledge base has been prepared in terms of probabilities of the presence of either hypotheses or evidence and the conditional presence of both. Human experts in the fields of structural engineering and the safety of structures gave their invaluable knowledge and assistance to the construction of the knowledge base. Some illustrative examples for, the validation of the expert system behaviour are included.

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This work deals with quality level prediction in concrete structures through the helpful assistance of an expert system wich is able to apply reasoning to this field of structural engineering. Evidences, hypotheses and factors related to this human knowledge field have been codified into a Knowledge Base in terms of probabilities for the presence of either hypotheses or evidences,and conditional presence of both. Human experts in structural engineering and safety of structures gave their invaluable knowledge and assistance necessary when constructing the "computer knowledge body".

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In Daubert, the Supreme Court opined that opposing expert testimony is an effective safeguard against junk science in the courtroom. Although jurors maybe unable to identify flaws in scientific research without some assistance, social psychological research suggests that people can be trained to make more sophisticated judgments about scientific quality. Further, previous research demonstrated that an opposing expert who addresses the methodology of proffered expert testimony may not enable jurors to evaluate scientific validity. In three studies, I tested why this safeguard was ineffective using a variety of stimulus materials. In the first study, I examined the mediating effect of attitudes on juror decisions within the context of a sexual harassment trial. In the second study, I examined the moderating effect of the presentation of expert credentials on participant decisions regarding child suggestibility literature. In the third study, I tested several improvements to the safeguard using improvements designed to correct for the effects of attitudes and credential presentation on juror decisions within the context of a first-degree murder trial. I found that while opposing expert testimony may have potential as a safeguard, in its current form it is ineffective. That is, a traditional opposing expert caused jurors to be skeptical of all expert testimony rather than sensitizing them to the validity of the research presented at trial. Further, while the improvements tested in this study may have potential to assist jurors in making scientifically sound decisions, more research is needed to further test and refine these improvements. ^