899 resultados para Computacional Intelligence in Medecine


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This report concentrates on progress during the last two years at the M.I.T. Artificial Intelligence Laboratory. Topics covered include the representation of knowledge, understanding English, learning and debugging, understanding vision and productivity technology. It is stressed that these various areas are tied closely together through certain fundamental issues and problems.

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Jackson, Peter, and Joe Maiolo, 'Strategic intelligence, Counter-Intelligence and Alliance Diplomacy in Anglo-French relations before the Second World War', Military History (2006) 65(2) pp.417-461 RAE2008

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This study explores using artificial neural networks to predict the rheological and mechanical properties of underwater concrete (UWC) mixtures and to evaluate the sensitivity of such properties to variations in mixture ingredients. Artificial neural networks (ANN) mimic the structure and operation of biological neurons and have the unique ability of self-learning, mapping, and functional approximation. Details of the development of the proposed neural network model, its architecture, training, and validation are presented in this study. A database incorporating 175 UWC mixtures from nine different studies was developed to train and test the ANN model. The data are arranged in a patterned format. Each pattern contains an input vector that includes quantity values of the mixture variables influencing the behavior of UWC mixtures (that is, cement, silica fume, fly ash, slag, water, coarse and fine aggregates, and chemical admixtures) and a corresponding output vector that includes the rheological or mechanical property to be modeled. Results show that the ANN model thus developed is not only capable of accurately predicting the slump, slump-flow, washout resistance, and compressive strength of underwater concrete mixtures used in the training process, but it can also effectively predict the aforementioned properties for new mixtures designed within the practical range of the input parameters used in the training process with an absolute error of 4.6, 10.6, 10.6, and 4.4%, respectively.

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Background-Associations between genotype and intellectual outcome in patients with phenylketonuria are complicated because intelligence is influenced by many variables, including environmental factors and other genetic determinants. Intellectual changes with age, both on and after relaxation of diet, vary within the patient population. This study aims to determine whether a significant association exists between genotype and change in intelligence after relaxation of diet.

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The relationship between components of emotional intelligence (EI) (interpersonal
ability, intrapersonal ability, adaptability and stress management) and academic
performance in English, maths and science was examined in a sample of 86 children
(49 males and 37 females) aged 11–12 years during the primary–secondary school
transition period. Results indicated that for both males and females, intrapersonal
ability had little relationship with academic achievement, while adaptability had the
strongest relationship with achievement in all subjects. Gender differences were particularly
pronounced for science, for which stronger relationships were observed with all
EI components for males. In addition, apparent only for males was a negative
relationship between stress management and science. These findings offer support for
the current inclusion of a personal and emotional element in the primary school curriculum,
and indicate that such training is likely to help males more than females to make
a successful transition from primary to secondary school.

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Purpose: The purpose of this paper is to investigate the relationship between the facets of cultural intelligence (CQ) (cognitive, meta-cognitive, motivational and behavioural) and the dimensions of cross-cultural adjustment (interaction, general and work adjustment).

Design/methodology/approach: Interviews and questionnaire survey were carried out with British expatriates from the architectural, engineering and construction sector. A total of 191 respondents, with experience from 29 different countries, actively participated in this research. Structural equation model was subsequently developed to investigate the relationship between elements of CQ and cross-cultural adjustment.

Findings: Results of structural equation modelling revealed that collectively all the four aspects of CQ have significant influence on general, interaction and work adjustment, particularly motivational and cognitive CQ. Cognitive CQ which empowers the expatriates with in-depth knowledge about different cultures was a significant predictor of interaction and work adjustment, whereas, motivational CQ is a significant predictor for general and work adjustment. However, no support was gathered for meta-cognitive and behavioural aspects of CQ.

Practical implications: Globally, construction companies and projects are entering an era of increased internationalisation which has prompted the migration/promotion of British construction professionals to different parts of the world for their specialised capabilities and skills. Thus, it is of utmost importance that these professionals adjust to their new world of varied culture and still be productive in their work.

Originality/value: An understanding of these essential factors can actually help British construction organisations to select and mentor individuals and to provide necessary training for successful international assignments.