Tele-Supervised FES-Assisted Exercise for Hemiplegic Upper Limb

Stroke survivors often have upper limb (UL) hemiparesis, limiting their ability to perform activities of daily life (ADLs). Intensive, task-oriented exercise therapy (ET) can improve UL function, but motivation to perform sufficient ET is difficult to maintain. Here we report on a trial in which a workstation was deployed in the homes of chronic stroke survivors to enable tele-coaching of ET in the guise of computer games. Participants performed 6 weeks of 1 hour/day, 5 days/week ET. Hand opening and grasp were assisted with functional electrical stimulation (FES). The primary outcome measure was the Action Research Arm Test (ARAT). Secondary outcome measures included a quantitative test of UL function performed on the workstation, grasp force measurements and transcranial magnetic stimulation (TMS). Improvements were seen in the functional tests, but surprisingly, not in the TMS responses. An important finding was that participants commencing with intermediate functional scores improved the most.

CONCLUSIONS: 1) Daily, tele-supervised FES-ET in chronic stroke survivors is feasible with commercially-available technology. 2) The intervention can significantly improve UL function, particularly in people who start with an intermediate level of function. 3) Significant improvements in UL function can occur in the absence of changes in TMS responses.

Unlock the Pain: Exercise is the Key

Back pain is a common complaint in pregnancy, affecting approximately two-thirds of pregnant women [Pennick and Lidle, 2013]. This can lead to increased disability, affecting daily activities and cause absence from work. Evidence-based recommendations can be made for the use of exercise as an effective conservative treatment for the relief of back pain in pregnancy [Benten et al, 2014]. This poster explores the background to back pain in pregnancy and the advice women should be offered in relation to exercise to help normalise their pregnancy experience and enhance wellbeing.

Computing probable maximum loss in catastrophe reinsurance portfolios on multi-core and many-core architectures

In the reinsurance market, the risks natural catastrophes pose to portfolios of properties must be quantified, so that they can be priced, and insurance offered. The analysis of such risks at a portfolio level requires a simulation of up to 800 000 trials with an average of 1000 catastrophic events per trial. This is sufficient to capture risk for a global multi-peril reinsurance portfolio covering a range of perils including earthquake, hurricane, tornado, hail, severe thunderstorm, wind storm, storm surge and riverine flooding, and wildfire. Such simulations are both computation and data intensive, making the application of high-performance computing techniques desirable.

In this paper, we explore the design and implementation of portfolio risk analysis on both multi-core and many-core computing platforms. Given a portfolio of property catastrophe insurance treaties, key risk measures, such as probable maximum loss, are computed by taking both primary and secondary uncertainties into account. Primary uncertainty is associated with whether or not an event occurs in a simulated year, while secondary uncertainty captures the uncertainty in the level of loss due to the use of simplified physical models and limitations in the available data. A combination of fast lookup structures, multi-threading and careful hand tuning of numerical operations is required to achieve good performance. Experimental results are reported for multi-core processors and systems using NVIDIA graphics processing unit and Intel Phi many-core accelerators.

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

A randomized controlled trial on the effects of combined aerobic-resistance exercise on muscle strength and fatigue, glycemic control and health-related quality of life of type 2 diabetes patients

Aim: to evaluate the effects of a 12-weeks combined aerobic-resistance exercise therapy on fatigue and isokinetic muscle strength, glycemic control and health-related quality of life (HRQoL) in moderately affected type 2 diabetes (T2DM) patients. Methods: a randomized controlled trial design was employed. Forty-three T2DM patients were assigned to an exercise group (n = 22), performing 3 weekly sessions of 60 minutes of combined aerobic-resistance exercise for 12-weeks; or a no exercise control group (n = 21). Both groups were evaluated at a baseline and after 12-weeks of exercise therapy for: 1) muscle strength and fatigue by isokinetic dynamometry; 2) plasma glycated hemoglobin A1C (HbA1C); and 3) HRQoL utilizing the SF-36 questionnaire. Results: the exercise therapy led to improvements in muscle fatigue in knee extensors (-55%) and increased muscle strength in knee flexors and extensors (+15 to +30%), while HbA1C decreased (-18%). In addition, the exercising patients showed sizeable improvements in HRQoL: physical function (+53%), vitality (+21%) and mental health (+40%). Conclusion: 12-weeks of combined aerobic-resistance exercise was highly effective to improve muscle strength and fatigue, glycemic control and several aspects of HRQoL in T2DM patients. These data encourage the use of aerobic and resistance exercise in the good clinical care of T2DM.

Convex Quadratic Programming Approach to the Maximum Matching Problem

The problem of determining a maximum matching or whether there exists a perfect matching, is very common in a large variety of applications and as been extensively studied in graph theory. In this paper we start to introduce a characterisation of a family of graphs for which its stability number is determined by convex quadratic programming. The main results connected with the recognition of this family of graphs are also introduced. It follows a necessary and sufficient condition which characterise a graph with a perfect matching and an algorithmic strategy, based on the determination of the stability number of line graphs, by convex quadratic programming, applied to the determination of a perfect matching. A numerical example for the recognition of graphs with a perfect matching is described. Finally, the above algorithmic strategy is extended to the determination of a maximum matching of an arbitrary graph and some related results are presented.

Contributions to the theory of maximum entropy estimation for ill-posed models

As técnicas estatísticas são fundamentais em ciência e a análise de regressão linear é, quiçá, uma das metodologias mais usadas. É bem conhecido da literatura que, sob determinadas condições, a regressão linear é uma ferramenta estatística poderosíssima. Infelizmente, na prática, algumas dessas condições raramente são satisfeitas e os modelos de regressão tornam-se mal-postos, inviabilizando, assim, a aplicação dos tradicionais métodos de estimação. Este trabalho apresenta algumas contribuições para a teoria de máxima entropia na estimação de modelos mal-postos, em particular na estimação de modelos de regressão linear com pequenas amostras, afetados por colinearidade e outliers. A investigação é desenvolvida em três vertentes, nomeadamente na estimação de eficiência técnica com fronteiras de produção condicionadas a estados contingentes, na estimação do parâmetro ridge em regressão ridge e, por último, em novos desenvolvimentos na estimação com máxima entropia. Na estimação de eficiência técnica com fronteiras de produção condicionadas a estados contingentes, o trabalho desenvolvido evidencia um melhor desempenho dos estimadores de máxima entropia em relação ao estimador de máxima verosimilhança. Este bom desempenho é notório em modelos com poucas observações por estado e em modelos com um grande número de estados, os quais são comummente afetados por colinearidade. Espera-se que a utilização de estimadores de máxima entropia contribua para o tão desejado aumento de trabalho empírico com estas fronteiras de produção. Em regressão ridge o maior desafio é a estimação do parâmetro ridge. Embora existam inúmeros procedimentos disponíveis na literatura, a verdade é que não existe nenhum que supere todos os outros. Neste trabalho é proposto um novo estimador do parâmetro ridge, que combina a análise do traço ridge e a estimação com máxima entropia. Os resultados obtidos nos estudos de simulação sugerem que este novo estimador é um dos melhores procedimentos existentes na literatura para a estimação do parâmetro ridge. O estimador de máxima entropia de Leuven é baseado no método dos mínimos quadrados, na entropia de Shannon e em conceitos da eletrodinâmica quântica. Este estimador suplanta a principal crítica apontada ao estimador de máxima entropia generalizada, uma vez que prescinde dos suportes para os parâmetros e erros do modelo de regressão. Neste trabalho são apresentadas novas contribuições para a teoria de máxima entropia na estimação de modelos mal-postos, tendo por base o estimador de máxima entropia de Leuven, a teoria da informação e a regressão robusta. Os estimadores desenvolvidos revelam um bom desempenho em modelos de regressão linear com pequenas amostras, afetados por colinearidade e outliers. Por último, são apresentados alguns códigos computacionais para estimação com máxima entropia, contribuindo, deste modo, para um aumento dos escassos recursos computacionais atualmente disponíveis.

Impact of exercise training on cancer-induced cardiac dysfunction

Cachexia is a complex syndrome characterized by severe weight loss frequently observed in cancer patients and associated with poor prognosis. Cancer cachexia is also related to modifications in cardiac muscle structure and metabolism leading to cardiac dysfunction. In order to better understand the cardiac remodeling induced by bladder cancer and the impact of exercise training after diagnosis on its regulation, we used an animal model of bladder cancer induced by exposition to N-butyl-N-(4-hydroxybutyl)-nitrosamine (BBN) in the drinking water. Healthy animals and previously BBN exposed animals were submitted to a training program in a treadmill at a speed of 20m/min, 60 min/day, 5 days/week during 13 weeks. At the end of the protocol, animals exposed to BBN presented a significant decrease of body weight, in comparison with control groups, supporting the presence of cancer cachexia. Morphological analysis of the cardiac muscle sections revealed the presence of fibrosis and a significant decrease of cardiomyocyte’s cross-sectional area, suggesting the occurrence of cardiac dysfunction associated with bladder cancer. These modifications were accompanied by heart metabolic remodeling characterized by a decreased fatty acid oxidation given by diminished levels of ETFDH and of complex II subunit  from the respiratory chain. Exercise training promoted an increment of connexin 43, a protein involved in cardioprotection, and of c-kit, a protein present in cardiac stem cells. These results suggest an improved heart regenerative capacity induced by exercise training. In conclusion, endurance training seems an attractive non-pharmacological therapeutic option for the management of cardiac dysfunction in cancer cachexia.

Simulation of economic benefits achieved by water quality improvement for recreational and professional users, within the SPICOSSA SSA (SPICOSSA System Approach) 11 - Guadiana estuary ecosystem sic

Dissertação de Mestrado, Gestão da Água e da Costa, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2010

Water framework directive implementation: intercalibration exercise for biological quality elements: a case study for the south coast of Portugal

This work summarises the Intercalibration Exercise (IE) required for the Common Implementation Strategy of the Water Framework Directive (WFD; 2000/60/EC) that was carried out in Portugal, and applied to a coastal region. The WFD aims to achieve good ec ological status for all waters in the European Community by 2015. The Ecological Status of a water body is determined us ing a range of Hydromorphological and Physico-Chemical Quality Elements as well Biological Quality Elements (BQE ). In coastal waters, the Biological Elements include Phytoplankton, Other Aquatic Flora and Benthic Inverteb rate Fauna. Good cooperation with the other Member States allowed the IE to proceed without a complete da ta set, and Portugal was ab le to intercalibrate and harmonise methods within the North Ea st Atlantic Geographica l Intercalibration Group for most of the BQE. The appropriate metrics and corre sponding methods were agreed under the framework of the RECITAL (Reference Conditions and Intercalibra tion) project, funded by the Port uguese Water Institu te, INAG. Some preliminary sampling was undertaken, but not su fficient to establish the Reference Conditions. The study area was a coastal lagoon in the southern part of Portugal. The focus was on the Phytoplankton Quality Element, but other BQE were also taken into account. Two sampli ng stations in Ria Formosa coastal lagoon were considered in this exercise: Ramalhete a nd Ponte. The metrics adopted by the Intercalibration Exercise groups were applied enabli ng the classification for the two sta tions of Good/High Status for the majority of the BQE parameters.

Designing and evaluating an instructional exercise as a supplement to the Fluids & Electrolytes lecture

First year nursing students repeatedly have difficulty recalling, understanding, and applying knowledge from the Fluids & Electrolytes (F&E) class. Although the traditional teaching method of lecturing is appropriate in a situation of knowledge acquisition, this situation refers to a broader context. An alternate teaching method is needed to increase students' understanding of the previously acquired knowledge and its application. This research concerns gaming as a tool for teaching with the focus on process as well as product. An instructional exercise, in the Jeopardy format, is designed to incorporate understanding (through problem-solving), group collaboration, and metacognition. Constructivist philosophy is combined with Instructional Design to construct an exercise that focuses not only on knowledge recall, but also emphasizes thinking, understanding, and the reflective nature of the exercise. The focus of this research is to design and evaluate an exercise as a supplemental teaching method to the lecture presentation of the F&E class.