238 resultados para SSE


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Streaming SIMD Extensions (SSE) is a unique feature embedded in the Pentium III class of microprocessors. By fully exploiting SSE, parallel algorithms can be implemented on a standard personal computer and a theoretical speedup of four can be achieved. In this paper, we demonstrate the implementation of a parallel LU matrix decomposition algorithm for solving power systems network equations with SSE and discuss advantages and disadvantages of this approach.

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Background: Queensland men aged 50 years and older are at high risk for melanoma. Early detection via skin self examination (SSE) (particularly whole-body SSE) followed by presentation to a doctor with suspicious lesions, may decrease morbidity and mortality from melanoma. Prevalence of whole-body SSE (wbSSE) is lower in Queensland older men compared to other population subgroups. With the exception of the present study no previous research has investigated the determinants of wbSSE in older men, or interventions to increase the behaviour in this population. Furthermore, although past SSE intervention studies for other populations have cited health behaviour models in the development of interventions, no study has tested these models in full. The Skin Awareness Study: A recent randomised trial, called the Skin Awareness Study, tested the impact of a video-delivered intervention compared to written materials alone on wbSSE in men aged 50 years or older (n=930). Men were recruited from the general population and interviewed over the telephone at baseline and 13 months. The proportion of men who reported wbSSE rose from 10% to 31% in the control group, and from 11% to 36% in the intervention group. Current research: The current research was a secondary analysis of data collected for the Skin Awareness Study. The objectives were as follows: • To describe how men who did not take up any SSE during the study period differed from those who did take up examining their skin. • To determine whether the intervention program was successful in affecting the constructs of the Health Belief Model it was aimed at (self-efficacy, perceived threat, and outcome expectations); and whether this in turn influenced wbSSE. • To determine whether the Health Action Process Approach (HAPA) was a better predictor of wbSSE behaviour compared to the Health Belief Model (HBM). Methods: For objective 1, men who did not report any past SSE at baseline (n=308) were categorised as having ‘taken up SSE’ (reported SSE at study end) or ‘resisted SSE’ (reported no SSE at study end). Bivariate logistic regression, followed by multivariable regression, investigated the association between participant characteristics measured at baseline and resisting SSE. For objective 2 proxy measures of self-efficacy, perceived threat, and outcome expectations were selected. To determine whether these mediated the effect of the intervention on the outcome, a mediator analysis was performed with all participants who completed interviews at both time points (n=830) following the Baron and Kenny approach, modified for use with structural equation modelling (SEM). For objective 3, control group participants only were included (n=410). Proxy measures of all HBM and HAPA constructs were selected and SEM was used to build up models and test the significance of each hypothesised pathway. A likelihood ratio test compared the HAPA to the HBM. Results: Amongst men who did not report any SSE at baseline, 27% did not take up any SSE by the end of the study. In multivariable analyses, resisting SSE was associated with having more freckly skin (p=0.027); being unsure about the statement ‘if I saw something suspicious on my skin, I’d go to the doctor straight away’ (p=0.028); not intending to perform SSE (p=0.015), having lower SSE self-efficacy (p<0.001), and having no recommendation for SSE from a doctor (p=0.002). In the mediator analysis none of the tested variables mediated the relationship between the intervention and wbSSE. In regards to health behaviour models, the HBM did not predict wbSSE well overall. Only the construct of self-efficacy was a significant predictor of future wbSSE (p=0.001), while neither perceived threat (p=0.584) nor outcome expectations (p=0.220) were. By contrast, when the HAPA constructs were added, all three HBM variables predicted intention to perform SSE, which in turn predicted future behaviour (p=0.015). The HAPA construct of volitional self-efficacy was also associated with wbSSE (p=0.046). The HAPA was a significantly better model compared to the HBM (p<0.001). Limitations: Items selected to measure HBM and HAPA model constructs for objectives 2 and 3 may not have accurately reflected each construct. Conclusions: This research added to the evidence base on how best to target interventions to older men; and on the appropriateness of particular health behaviour models to guide interventions. Findings indicate that to overcome resistance those men with more negative pre-existing attitudes to SSE (not intending to do it, lower initial self-efficacy) may need to be targeted with more intensive interventions in the future. Involving general practitioners in recommending SSE to their patients in this population, alongside disseminating an intervention, may increase its success. Comparison of the HBM and HAPA showed that while two of the three HBM variables examined did not directly predict future wbSSE, all three were associated with intention to self-examine skin. This suggests that in this population, intervening on these variables may increase intention to examine skin, but not necessarily the behaviour itself. Future interventions could potentially focus on increasing both the motivational variables of perceived threat and outcome expectations as well as a combination of both action and volitional self-efficacy; with the aim of increasing intention as well as its translation to taking up and maintaining regular wbSSE.

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O Granito Seringa, com cerca de 2250 km2 de superfície afl orante, representa o maior batólito da Província Carajás. É intrusivo em unidades arqueanas do Terreno Granito-Greenstone de Rio Maria, sudeste do Cráton Amazônico. É constituído por dois grandes conjuntos petrográficos: a) rochas monzograníticas, representadas por bitotita-anfibólio monzogranito grosso (BAMGrG) e anfibólio-bitotita monzogranito grosso (ABMGrG); b) rochas sienograníticas, representadas por anfibólio-biotita sienogranito porfirítico (ABSGrP), leucosienogranito heterogranular (LSGrH), leucomicrosienogranito (LMSGr) e anfibólio-biotita sienogranito heterogranular (ABSGrH). Biotita e anfibólio são os minerais varietais e zircão, apatita, minerais opacos e allanita, os acessórios. O Granito Seringa mostra caráter subalcalino, metaluminoso a fracamente peraluminoso e possui altas razões FeOt/FeOt+MgO (0,86 a 0,97) e K2O/Na2O (1 a 2). Os ETR mostram padrão de fracionamento moderado para os ETRL e sub-horizontalizado para os ETRP. As anomalias negativas de Eu são fracas nas rochas monzograníticas e moderadas a acentuadas nas sienograníticas e leucomonzograníticas, respectivamente, com exceção dos ABSGrP. Mostra afinidades geoquímicas com granitos intraplacas ricos em ferro, do subtipo A2 e do tipo A oxidados. As relações de campo e os aspectos petrográficos e geoquímicos não são coerentes com a evolução das fácies do Granito Seringa a partir da cristalização fracionada de um mesmo pulso magmático. O Granito Seringa apresenta maiores semelhanças petrográficas, geoquímicas e de suscetibilidade magnética com as rochas da Suíte Serra dos Carajás, podendo ser enquadrado nesta importante suíte granitoide.

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von Ernest Trarbach

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Vol. 1, pt. 1 is co-edited by "Carolus Benedictus Hase, G. R. Lud. de Sinner et Theobaldus Fix."