7 resultados para Intelligence, Surveillance

em Brock University, Canada


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Fluid inteliigence has been defined as an innate ability to reason which is measured commonly by the Raven's Progressive Matrices (RPM). Individual differences in fluid intelligence are currently explained by the Cascade model (Fry & Hale, 1996) and the Controlled Attention hypothesis (Engle, Kane, & Tuholski, 1999; Kane & Engle, 2002). The first theory is based on a complex relation among age, speed, and working memory which is described as a Cascade. The alternative to this theory, the Controlled Attention hypothesis, is based on the proposition that it is the executive attention component of working memory that explains performance on fluid intelligence tests. The first goal of this study was to examine whether the Cascade model is consistent within the visuo-spatial and verbal-numerical modalities. The second goal was to examine whether the executive attention component ofworking memory accounts for the relation between working memory and fluid intelligence. Two hundred and six undergraduate students between the ages of 18 and 28 completed a battery of cognitive tests selected to measure processing speed, working memory, and controlled attention which were selected from two cognitive modalities, verbalnumerical and visuo-spatial. These were used to predict performance on two standard measures of fluid intelligence: the Raven's Progressive Matrices (RPM) and the Shipley Institute of Living Scales (SILS) subtests. Multiple regression and Structural Equation Modeling (SEM) were used to test the Cascade model and to determine the independent and joint effects of controlled attention and working memory on general fluid intelligence. Among the processing speed measures only spatial scan was related to the RPM. No other significant relations were observed between processing speed and fluid intelligence. As 1 a construct, working memory was related to the fluid intelligence tests. Consistent with the predictions for the RPM there was support for the Cascade model within the visuo-spatial modality but not within the verbal-numerical modality. There was no support for the Cascade model with respect to the SILS tests. SEM revealed that there was a direct path between controlled attention and RPM and between working memory and RPM. However, a significant path between set switching and RPM explained the relation between controlled attention and RPM. The prediction that controlled attention mediated the relation between working memory and RPM was therefore not supported. The findings support the view that the Cascade model may not adequately explain individual differences in fluid intelligence and this may be due to the differential relations observed between working memory and fluid intelligence across different modalities. The findings also show that working memory is not a domain-general construct and as a result its relation with fluid intelligence may be dependent on the nature of the working memory modality.

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A retrospective study of patients hospitalized with influenza and/or pneumonia in a Niagara area community hospital for the influenza season 2003-04 was designed with the main goal of enhancing pneumonia surveillance in acute care facilities and the following specific objectives: 1) identify etiologies, factors, and clinical presentation associated with pneumonia; 2) assess the ODIN score on ICU patients to predict outcomes of severe pneumonia; 3) identify the frequency of pneumonia and influenza in a hospital setting; and 4) develop a hospital pneumonia electronic surveillance tool. A total of 172 patients' charts (50% females) were reviewed and classified into two groups: those with diagnosis of pneumonia (n=132) and those without pneumonia (n=40). The latter group consisted mainly of patients with influenza (85%). Most patients were young (<10yrs) or elderly (>71yrs). Presenting body temperature <38°C, cough symptoms, respiratory and cardiac precomorbidities were common in both groups. Pneumonia was more frequent in males (p= .032) and more likely community-acquired (98%) than nosocomial (2%). No evidence of ventilator-associated pneumonia was found. Microbiology testing in 72% of cases detected 19 different pathogens. In pneumonia patients the most common organisms were Streptococcus pneumoniae (3%), Respiratory syncytial virus (4%), and Influenza A virus (2%). Conversely, Influenza A virus was identified in 73% of non-pneumonia patients. Community-acquired influenza was more common (80%) than nosocomial influenza (20%). The ODIN score was a good predictor of mortality and the new electronic surveillance tool was an effective prototype to monitor patients in acute care, especially during influenza season. The results of this study provided baseline data on respiratory illness surveillance and demonstrated that future research, including prospective studies, is warranted in acute care facilities.

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This study examines coverage of lane-Finch in popular Canadian newspapers in 2007. It explores the often-negative representations of the community through conceptual frameworks based on the work of Michel Foucault, Roland Barthes and Edward Said. The question it attempts to answer is: What knowledge and power relationships are embedded within depictions of lane-Finch in popular Canadian newspapers in 2007? The methodology is a version of critical discourse analysis based on Foucault's The Archaeology of Knowledge. It finds that predominantly-negative connotations of the neighbourhood are reinforced through the perpetuation of dominant discourses, the use of "expert" knowledge sources, and the discounting of subjugated knowledges or livedexperiences of residents. The study concludes by suggesting where further research within the realm of popular culture and community identity can be directed.

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Ontario school principalsâ professional development currently includes leadership training that encompasses emotional intelligence. This study sought to augment the limited research in the Canadian educational context on school leadersâ understanding of emotional intelligence and its relevancy to their work. The study utilized semi-structured interviews with 6 Ontario school principals representing disparate school contexts based on socioeconomic levels, urban and rural settings, and degree of ethnic diversity. Additionally, the 4 male and 2 female participants are elementary and secondary school principals in different public school boards and represent a diverse range of age and experience. The study utilized a grounded theory approach to data analysis and identified by 5 main themes: Self-Awareness, Relationship, Support, Pressure, and Emotional Filtering and Compartmentalization. Recommendations are made to further explore the emotional support systems available to school leaders in Ontario schools.

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Analysis of power in natural resources management is important as multiple stakeholders interact within complex, social-ecological systems. As a sub-set of these interactions, community climate change adaptation is increasingly using participatory processes to address issues of local concern. While some attention has been paid to power relations in this respect, e.g. evaluating international climate regimes or assessing vulnerability as part of integrated impact assessments, little attention has been paid to how a structured assessment of power could facilitate real adaptation and increase the potential for successful participatory processes. This paper surveys how the concept of power is currently being applied in natural resources management and links these ideas to agency and leadership for climate change adaptation. By exploring behavioural research on destructive leadership, a model is developed for informing participatory climate change adaptation. The working paper then concludes with a discussion of developing research questions in two specific areas - examining barriers to adaptation and mapping the evolution of specific participatory processes for climate change adaptation.

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Experimental Extended X-ray Absorption Fine Structure (EXAFS) spectra carry information about the chemical structure of metal protein complexes. However, pre- dicting the structure of such complexes from EXAFS spectra is not a simple task. Currently methods such as Monte Carlo optimization or simulated annealing are used in structure refinement of EXAFS. These methods have proven somewhat successful in structure refinement but have not been successful in finding the global minima. Multiple population based algorithms, including a genetic algorithm, a restarting ge- netic algorithm, differential evolution, and particle swarm optimization, are studied for their effectiveness in structure refinement of EXAFS. The oxygen-evolving com- plex in S1 is used as a benchmark for comparing the algorithms. These algorithms were successful in finding new atomic structures that produced improved calculated EXAFS spectra over atomic structures previously found.