An R -matrix with pseudo-states calculation of electron-impact excitation in C 2 +

We have performed an R-matrix with pseudo-states (RMPS) calculation of electron-impact excitation in C2+.Collision strengths and effective collision strengths were determined for excitation between the lowest 24 terms, including all those arising from the 2s3l and 2s4l configurations. In the RMPS calculation, 238 terms (90 spectroscopic and 148 pseudo-state) were employed in the close-coupling (CC) expansion of the target. In order to investigate the significance of coupling to the target continuum and highly excited bound states, we compare the RMPS results with those from an R-matrix calculation that incorporated all 238 terms in the configuration- interaction expansion, but only the lowest 44 spectroscopic terms in the CC expansion. We also compare our effective collision strengths with those from an earlier 12-state R-matrix calculation (Berrington et al 1989 J. Phys. B: At.Mol. Opt. Phys. 22 665). The RMPS calculation was extremely large, involving (N +1)-electron Hamiltonian matrices of dimension up to 36 085, and required the use of our recently completed suite of parallel R-matrix programs. The full set of effective collision strengths fromourRMPS calculation is available at theOakRidgeNationalLaboratoryControlledFusion Atomic Data Center web site. 1.

Energy Optimization of Memory Intensive Parallel Workloads

Energy consumption is an important concern in modern multicore processors. The energy consumed by a multicore processor during the execution of an application can be minimized by tuning the hardware state utilizing knobs such as frequency, voltage etc. The existing theoretical work on energy minimization using Global DVFS (Dynamic Voltage and Frequency Scaling), despite being thorough, ignores the time and the energy consumed by the CPU on memory accesses and the dynamic energy consumed by the idle cores. This article presents an analytical energy-performance model for parallel workloads that accounts for the time and the energy consumed by the CPU chip on memory accesses in addition to the time and energy consumed by the CPU on CPU instructions. In addition, the model we present also accounts for the dynamic energy consumed by the idle cores. The existing work on global DVFS for parallel workloads shows that using a single frequency for the entire duration of a parallel application is not energy optimal and that varying the frequency according to the changes in the parallelism of the workload can save energy. We present an analytical framework around our energy-performance model to predict the operating frequencies (that depend upon the amount of parallelism) for global DVFS that minimize the overall CPU energy consumption. We show how the optimal frequencies in our model differ from the optimal frequencies in a model that does not account for memory accesses. We further show how the memory intensity of an application affects the optimal frequencies.

Can group exercise programs improve health outcomes in pregnant women? A systematic review

Current scientific evidence supports the recommendation to initiate or continue the practice of physical exercise in healthy pregnant women. Group exercise programs have positive effects in improving health and well-being, as well as social support. In order to understand the scientific evidence in this field, and the outcomes in maternal health, it has generated wide interest in exploring the studies carried out with more relevant group exercise programs. The aim of this systematic review was to evaluate the available evidence on the effectiveness of group exercise programs in improving women’s and newborns health outcomes during pregnancy. Three databases were used to conduct literature searches and strict inclusion and exclusion criteria were employed. Seventeen studies were selected for analysis. All studies were randomized control trials conducted with pregnant women that evaluated the effect of group exercise programs on the health outcomes of mother and newborn. Most studies followed a supervised structured exercise program including a main aerobic part, resistance training, pelvic floor training and stretching and relaxation sections. The significant effects of the programs are related with improved maternal perception of health status, lower maternal weight gain, improved levels of maternal glucose tolerance, improved aerobic fitness and muscular strength, lower frequency of urinary incontinence, improved sick leave due to lumbopelvic pain, fewer cesarean and instrumental deliveries, higher newborn Apgar score and faster postpartum recovery. Exercise and health professionals should advise pregnant women that aerobic group exercise during pregnancy improves a wide range of health outcomes for the women and newborn

Demência e intervenção familiar: visão sistémica e desenvolvimental

A prestação de cuidados familiares, centrada nos desafios colocados ao cuidador principal, particularmente no âmbito das condições demenciais, tem vindo a assumir-se desde a década de 1980 como um tema fulcral no contexto das famílias envelhecidas e da pesquisa gerontológica. Neste contexto, um leque diversificado de intervenções têm sido desenvolvidas para apoiar os cuidadores familiares de pessoas com demência. Estas intervenções têm evidenciado algumas limitações, nomeadamente: a unidade de intervenção é a pessoa com demência ou o cuidador principal, não considerando a família como unidade; a fragmentação do apoio, em que serviços sociais, de saúde, educacionais e de suporte funcionam como estruturas paralelas e independentes; e as abordagens são geralmente centradas na doença, negligenciando os recursos e competências dos participantes (fatores salutogénicos). Neste estudo procedeu-se ao desenho, implementação e avaliação de um programa integrado, para pessoas com demência e suas famílias, baseado numa abordagem colaborativa e de capacitação: proFamílias-demência. Este programa tem três componentes: (a) sessões psicoeducativas para os familiares da pessoa com demência, num formato de grupo de discussão multifamílias; (b) sessões de ocupação significativa para as pessoas com demência; e (c) serviço de referência pós-intervenção para garantir a continuidade de apoio. O proFamílias-demência envolveu cinco famílias (seis participantes). A avaliação indica que os aspetos estruturais e funcionais são adequados. Em termos de impacto a médio prazo (três meses), as famílias referem que o programa permitiu a consciencialização da importância do autocuidado, melhor gestão emocional e mais união familiar. Neste estudo também se analisou a influência da prestação de cuidados a um familiar com demência no desenvolvimento do cuidador idoso. Adotou-se a abordagem da integridade familiar (King & Wynne, 2004) como quadro conceptual e o instrumento de recolha de dados foi a entrevista semiestruturada recomendada nesta abordagem. A amostra envolve 26 cuidadores familiares idosos (mais de 64 anos) que nas suas casas cuidam de um familiar com demência. Os principais resultados sugerem que a prestação de cuidados a um familiar com demência influencia a construção da integridade familiar em termos: (a) concretização de projetos de vida; (b) frequência de contactos com a família; (c) possibilidade de reciprocidade do cuidador; e (d) resolução de conflitos familiares. No entanto, os resultados reforçam que a forma como o cuidador percebe, vivencia e interpreta a prestação de cuidados é fundamental na construção da integridade familiar. Em geral, a investigação desenvolvida nesta tese permitiu: (a) desenvolver linhas orientadoras para a implementação de programas de apoio psicoeducativo junto de pessoas com demência e suas famílias; e (b) contribuir para o desenvolvimento de modelos teóricos sobre os processos de desenvolvimento individual de cuidadores idosos. Estudos futuros envolvendo amostras mais alargadas e combinando a utilização de metodologias qualitativas e quantitativas são necessários. A avaliação dos custos e ganhos económicos decorrentes destes programas também se revela primordial.

Adaptive generalized predictive control algorithm implemented over an heterogeneous parallel architecture

In this paper a parallel implementation of an Adaprtive Generalized Predictive Control (AGPC) algorithm is presented. Since the AGPC algorithm needs to be fed with knowledge of the plant transfer function, the parallelization of a standard Recursive Least Squares (RLS) estimator and a GPC predictor is discussed here.

Implementation of an daptive generalized predictive control algorithm over an heterogeneous parallel architecture

In this paper a parallel implementation of an Adaprtive Generalized Predictive Control (AGPC) algorithm is presented. Since the AGPC algorithm needs to be fed with knowledge of the plant transfer function, the parallelization of a standard Recursive Least Squares (RLS) estimator and a GPC predictor is discussed here.

Parallel implementation of an adaptive generalized predictive control algorithm

The Adaptive Generalized Predictive Control (AGPC) algorithm can be speeded up using parallel processing. Since the AGPC algorithm needs to be fed with the knowledge of the plant transfer function, the parallelization of a standard Recursive Least Squares (RLS) estimator and a GPC predictor is discussed here.

A computational study of a parallel Branch and Bound algorithm for the quadratic 0-1 programming problem on transputers

Discrete optimization problems are very difficult to solve, even if the dimantion is small. For most of them the problem of finding an ε-approximate solution is already NP-hard.

Parallel implementation of an adaptive generalized predictive control algorithm

The Adaptive Generalized Predictive Control (GPC) algorithm can be speeded up using parallel processing. Since the GPC algorithm needs to be fed with knowledge of the plant transfer function, the parallelization of a standard Recursive Least Squares (RLS) estimator and a GPC predictor is discussed here.

An efficient parallel implementation of a least squares problem

Least squares solutions are a very important problem, which appear in a broad range of disciplines (for instance, control systems, statistics, signal processing). Our interest in this kind of problems lies in their use of training neural network controllers.

An efficient parallel implementation of a least squares problem

Least squares solutions are a very important problem, which appear in a broad range of disciplines (for instance, control systems, statistics, signal processing). Our interest in this kind of problems lies in their use of training neural network controllers.

Parallel implementation of a learning algorithm for multilayer perceptrons using transputers

In this paper the parallelization of a new learning algorithm for multilayer perceptrons, specifically targeted for nonlinear function approximation purposes, is discussed. Each major step of the algorithm is parallelized, a special emphasis being put in the most computationally intensive task, a least-squares solution of linear systems of equations.

Coreference resolution for portuguese using parallel corpora word alignment

A área de Extração da Informação tem como objetivo essencial investigar métodos e técnicas para transformar a informação não estruturada presente em textos de língua natural em dados estruturados. Um importante passo deste processo é a resolução de correferência, tarefa que identifica diferentes sintagmas nominais que se referem a mesma entidade no discurso. A área de estudos sobre resolução de correferência tem sido extensivamente pesquisada para a Língua Inglesa (Ng, 2010) lista uma série de estudos da área, entretanto tem recebido menos atenção em outras línguas. Isso se deve ao fato de que a grande maioria das abordagens utilizadas nessas pesquisas são baseadas em aprendizado de máquina e, portanto, requerem uma extensa quantidade de dados anotados.

A spectral estimator using parallel-processing for use in a doppler blood-flow instrument

The work described here is part of a research program aiming to increase the sensitivity to disease detection using Doppler ultrasound by reducing the effects to the measurement procedure on the estimation of blood velocity and detection of flow disturbance.