962 resultados para Explicit method, Mean square stability, Stochastic orthogonal Runge-Kutta, Chebyshev method


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Exercise or Swiss balls are increasingly being used with conventional resistance exercises. There is little evidence supporting the efficacy of this approach compared to traditional resistance training on a stable surface. Previous studies have shown that force output may be reduced with no change in muscle electromyography (EMG) activity while others have shown increased muscle EMG activity when performing resistance exercises on an unstable surface. This study compared 1RM strength, and upper body and trunk muscle EMG activity during the barbell chest press exercise on a stable (flat bench) and unstable surface (exercise ball). After familiarization, 13 subjects underwent testing for 1RM strength for the barbell chest press on both a stable bench and an exercise ball, each separated by at least 7 days. Surface EMG was recorded for 5 upper body muscles and one trunk muscle from which average root mean square of the muscle activity was calculated for the whole 1RM lift and the concentric and eccentric phases. Elbow angle during each lift was recorded to examine any range-of-motion differences between the two surfaces. The results show that there was no difference in 1RM strength or muscle EMG activity for the stable and unstable surfaces. In addition, there was no difference in elbow range-of-motion between the two surfaces. Taken together, these results indicate that there is no reduction in 1RM strength or any differences in muscle EMG activity for the barbell chest press exercise on an unstable exercise ball when compared to a stable flat surface. Moreover, these results do not support the notion that resistance exercises performed on an exercise ball are more efficacious than traditional stable exercises.

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Aims  To undertake further psychometric validation of the W-BQ28 to determine its suitability for use in adults with Type 2 diabetes in the UK using data from the AT.LANTUS follow-on study.

Methods  A total of 353 people with Type 2 diabetes participated in the AT.LANTUS Follow-on study, completing measures of well-being (W-BQ28), treatment satisfaction (DTSQ) and self-care (SCI-R). Confirmatory factor analyses was used to confirm the W-BQ28 structure and internal consistency reliability was assessed. Additional statistical tests were conducted to explore convergent, divergent and known-groups validity. Minimal important differences were calculated using distribution and anchor-based techniques.

Results  Structure of the W-BQ28 (seven four-item subscales plus 16-item generic and 12-item diabetes-specific scales) was confirmed (comparative fit index = 0.917, root mean square error of approximation (RMSEA) = 0.057). Internal consistency reliability was satisfactory (four-item subscales: alpha = 0.73–0.90; 12/16-item scales: α = 0.84–0.90). Convergent validity was supported by expected moderate to high correlations (rs = 0.35–0.67) between all W-BQ28 subscales (except Energy); divergent validity was supported by expected low to moderate correlations with treatment satisfaction (rs = −0.03–0.52) and self-care (rs = 0.02–0.22). Known-groups validity was supported with statistically significant differences by sex, age and HbA1c for expected subscales. Minimal important differences were established (range 0.14–2.90).

Conclusions  The W-BQ28 is a valid and reliable measure of generic and diabetes-specific well-being in Type 2 diabetes in the UK. Confirmation of the utility of W-BQ28 (including establishment of minimal important differences) means that its use is indicated in research and clinical practice.

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Background:
Depression is an independent risk factor for coronary artery disease. Autonomic instability may play a mediating or moderating role in this relationship; however this is not well understood. The objective of this study was to explore cardiac autonomic function and cardiac arrhythmia in depression, the correlation between depression severity and Heart Rate Variability (HRV) related indices, and the prevalence of arrhythmia.

Methods:
Individuals (n = 53) with major depression as assessed by the Diagnostic and Statistical Manual of Mental Disorders, who had a Hamilton Rating Scale for Depression (HAMD) score ≥20 and a Zung Self-Rating Depression Scale score > 53 were compared to 53 healthy individuals, matched for age and gender. Multichannel Electrocardiograph ECG-92C data were collected over 24 hours. Long-term changes in HRV were used to assess the following vagally mediated changes in autonomic tone, expressed as time domain indices: Standard deviation of the NN intervals (SDNN), standard deviation of 5 min averaged NN intervals (SDANN), Root Mean Square of the Successive Differences (RMSSD) and percentage of NN intervals > 50 ms different from preceding interval (pNN50). Pearson’s correlations were conducted to explore the strength of the association between depression severity (using the SDS and HRV related indices, specifically SDNN and low frequency domain / high frequency domain (LF/HF)).

Results:
The values of SDNN, SDANN, RMSSD, PNN50 and HF were lower in the depression group compared to the control group (P<.05). The mean value of the LF in the depression group was higher than the in control group (P<.05). Furthermore the ratio of LF/HF was higher among the depression group than the control group (P<.05). A linear relationship was shown to exist between the severity of the depression and HRV indices. In the depression group, the prevalence of arrhythmia was significantly higher than in the control group (P<.05), particularly supraventricular arrhythmias.

Conclusions:
Our findings suggest that depression is accompanied by dysfunction of the cardiac autonomic nervous system, and further, that depression severity is linked to severity of this dysfunction. Individuals with depression appear to be susceptible to premature atrial and/or ventricular disease.

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Objectives
To assess the contribution of back-translation and expert committee to the content and psychometric properties of a translated multidimensional questionnaire.

Study Design and Setting
Recommendations for questionnaire translation include back-translation and expert committee, but their contribution to measurement properties is unknown. Four English to French translations of the Health Education Impact Questionnaire were generated with and without committee or back-translation. Face validity, acceptability, and structural properties were compared after random assignment to people with rheumatoid arthritis (N = 1,168), chronic renal failure (N = 2,368), and diabetes (N = 538). For face validity, 15 bilingual people compared translations quality with the original. Psychometric properties were examined using confirmatory factor analysis (metric and scalar invariance) and item response theory.

Results
Qualitatively, there were five types of translation errors: style, intensity, frequency/time frame, breadth, and meaning. Bilingual assessors ranked best the translations with committee (P = 0.0026). All translations had good structural properties (root mean square error of approximation <0.05; comparative fit index [CFI], ≥0.899; and Tucker–Lewis index, ≥0.889). Full measurement invariance was observed between translations (ΔCFI ≤ 0.01) with metric invariance between translations and original (lowest ΔCFI = 0.022 between fully constrained models and models with free intercepts). Item characteristic curve analyses revealed no significant differences.

Conclusion
This is the first experimental evidence that back-translation has moderate impact, whereas expert committee helps to ensure accurate content.

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This paper presents the application of an improved particle swarm optimization (PSO) technique for training an artificial neural network (ANN) to predict water levels for the Heshui watershed, China. Daily values of rainfall and water levels from 1988 to 2000 were first analyzed using ANNs trained with the conjugate-gradient, gradient descent and Levenberg-Marquardt neural network (LM-NN) algorithms. The best results were obtained from LM-NN and these results were then compared with those from PSO-based ANNs, including conventional PSO neural network (CPSONN) and improved PSO neural network (IPSONN) with passive congregation. The IPSONN algorithm improves PSO convergence by using the selfish herd concept in swarm behavior. Our results show that the PSO-based ANNs performed better than LM-NN. For models run using a single parameter (rainfall) as input, the root mean square error (RMSE) of the testing dataset for IPSONN was the lowest (0.152 m) compared to those for CPSONN (0.161 m) and LM-NN (0.205 m). For multi-parameter (rainfall and water level) inputs, the RMSE of the testing dataset for IPSONN was also the lowest (0.089 m) compared to those for CPSONN (0.105 m) and LM-NN (0.145 m). The results also indicate that the LM-NN model performed poorly in predicting the low and peak water levels, in comparison to the PSO-based ANNs. Moreover, the IPSONN model was superior to CPSONN in predicting extreme water levels. Lastly, IPSONN had a quicker convergence rate compared to CPSONN.

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Results from the application of adaptive neuro-fuzzy inference system (ANFIS) to forecast water levels at 3 stations along the mainstream of the Lower Mekong River are reported in this paper. The study investigated the effects of including water levels from upstream stations and tributaries, and rainfall as inputs to ANFIS models developed for the 3 stations. When upstream water levels in the mainstream were used as input, improvements to forecasts were realized only when the water levels from 1 or at most 2 upstream stations were included. This is because when there are significant contributions of flow from the tributaries, the correlation between the water levels in the upstream stations and stations of interest decreases, limiting the effectiveness of including water levels from upstream stations as inputs. In addition, only improvements at short lead times were achieved. Including the water level from the tributaries did not significantly improve forecast results. This is attributed mainly to the fact that the flow contributions represented by the tributaries may not be significant enough, given that there could be large volume of flow discharging directly from the catchments which are ungauged, into the mainstream. The largest improvement for 1-day forecasts was obtained for Kratie station where lateral flow contribution was 17 %, the highest for the 3 stations considered. The inclusion of rainfall as input resulted in significant improvements to long-term forecasts. For Thakhek, where rainfall is most significant, the persistence index and coefficient of efficiency for 5-lead-day forecasts improved from 0.17 to 0.44 and 0.89 to 0.93, respectively, whereas the root mean square error decreased from 0.83 to 0.69 m.

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A rapid analytical approach for discrimination and quantitative determination of polyunsaturated fatty acid (PUFA) contents, particularly eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), in a range of oils extracted from marine resources has been developed by using attenuated total reflection Fourier transform infrared spectroscopy and multivariate data analysis. The spectral data were collected without any sample preparation; thus, no chemical preparation was involved, but data were rather processed directly using the developed spectral analysis platform, making it fast, very cost effective, and suitable for routine use in various biotechnological and food research and related industries. Unsupervised pattern recognition techniques, including principal component analysis and unsupervised hierarchical cluster analysis, discriminated the marine oils into groups by correlating similarities and differences in their fatty acid (FA) compositions that corresponded well to the FA profiles obtained from traditional lipid analysis based on gas chromatography (GC). Furthermore, quantitative determination of unsaturated fatty acids, PUFAs, EPA and DHA, by partial least square regression analysis through which calibration models were optimized specifically for each targeted FA, was performed in both known marine oils and totally independent unknown n - 3 oil samples obtained from an actual commercial product in order to provide prospective testing of the developed models towards actual applications. The resultant predicted FAs were achieved at a good accuracy compared to their reference GC values as evidenced through (1) low root mean square error of prediction, (2) good coefficient of determination close to 1 (i.e., R 2≥ 0.96), and (3) the residual predictive deviation values that indicated the predictive power at good and higher levels for all the target FAs. © 2014 Springer Science+Business Media New York.

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A study was conducted to develop an integrated process lethality model for pressure-assisted thermal processing (PATP) taking into consideration the lethal contribution of both pressure and heat on spore inactivation. Assuming that the momentary inactivation rate was dependent on the survival ratio and momentary pressure-thermal history, a differential equation was formulated and numerically solved using the Runge-Kutta method. Published data on combined pressure-heat inactivation of Bacillus amyloliquefaciens spores were used to obtain model kinetic parameters that considered both pressure and thermal effects. The model was experimentally validated under several process scenarios using a pilot-scale high-pressure food processor. Using first-order kinetics in the model resulted in the overestimation of log reduction compared to the experimental values. When the n th-order kinetics was used, the computed accumulated lethality and the log reduction values were found to be in reasonable agreement with the experimental data. Within the experimental conditions studied, spatial variation in process temperature resulted up to 3.5 log variation in survivors between the top and bottom of the carrier basket. The predicted log reduction of B. amyloliquefaciens spores in deionized water and carrot purée had satisfactory accuracy (1.07-1.12) and regression coefficients (0.83-0.92). The model was also able to predict log reductions obtained during a double-pulse treatment conducted using a pilot-scale high-pressure processor. The developed model can be a useful tool to examine the effect of combined pressure-thermal treatment on bacterial spore lethality and assess PATP microbial safety. © 2013 Springer Science+Business Media New York.

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Abstract
Purpose– The purpose of this paper is to estimate the determinants of the retail space rent in Shanghai.
Design/methodology/approach – Hedonic model and spatial regression models are used in the paper. The problem of spatial autocorrelation is tested by Moran’s I statistics, and the root mean square error (RMSE) test is performed to find out the best model.
Findings – The significant explaining variables are the age, the area of retail space, the distance to the Jing An CBD centre, the type of the retail and the district of the property. A new classification of district in retail research context is suggested in this paper, and it is proved to be better than the districts set up by government to explain the retail rent variation.
Originality/value – This paper presents the first empirical study about the retail rental market in Shanghai. The research helps retail property investors and retail tenants deepen their understanding of the retail market in Shanghai. Spatial econometrics techniques are first introduced into the empirical retail rent research to produce a more precise estimation.

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To understand the effects of a resistive vibration exercise (RVE) countermeasure on changes in lumbo-pelvic muscle motor control during prolonged bed-rest, 20 male subjects took part in the Berlin Bed-Rest Study (in 2003-2005) and were randomised to a RVE group or an inactive control group. Surface electromyographic signals recorded from five superficial lumbo-pelvic muscles during a repetitive knee movement task. The task, which required stabilisation of the lumbo-pelvic region, was performed at multiple movement speeds and at multiple time points during and after bed-rest. After excluding effects that could be attributed to increases in subcutaneous fat changes and improvements in movement skill, we found that the RVE intervention ameliorated the generalised increases in activity ratios between movement speeds (p⩽0.012), reductions in lumbo-pelvic extensor and flexor co-contraction (p=0.058) and increases in root-mean-square electromyographic amplitude (p=0.001) of the lumbar erector spinae muscles. Effects of RVE on preventing increases in amplitude-modulation (p=0.23) of the lumbar erector spinae muscles were not significant. Few significant changes in activation-timing were seen. The RVE intervention during bed-rest, with indirect loading of the spine during exercise, was capable of reducing some, but not all, motor control changes in the lumbo-pelvic musculature during and after bed-rest.

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O objetivo do presente estudo foi comparar as relações torque-ângulo (T-A) e torque-velocidade (T-V) de bailarinas clássicas (n=14) e atletas de voleibol (n=22). O torque máximo (Tmax) da musculatura flexora plantar (FP) do tornozelo foi avaliada durante contrações isométricas voluntárias máximas nos ângulos de -10°, 0°, 10°, 20°, 30°, 40° e 50° de FP, e durante contrações isocinéticas voluntárias máximas nas velocidades angulares de 60°/s, 120°/s, 180°/s, 240°/s, 300°/s, 360°/s e 420°/s. Além do Tmax, o torque produzido nos ângulos articulares de -10° (T-10°), 10° (T10°) e 30° (T30°) também foi avaliado nas mesmas velocidades angulares. A ativação elétrica dos músculos gastrocnêmio medial (GM) e sóleo (SOL) direitos de cada indivíduo foi monitorada com eletrodos de eletromiografia (EMG) de superfície em configuração bipolar. Uma relação linear foi observada entre o Tmax e o aumento dos ângulos de FP nas atletas de voleibol Um deslocamento dessa relação em direção a maiores ângulos de FP (menores comprimentos musculares) ocorreu no grupo das bailarinas, com o aparecimento de um platô em menores ângulos de FP (maiores comprimentos musculares). Durante as contrações isocinéticas, uma relação hiperbólica foi observada entre o Tmax, T-10° e T10° com o aumento da velocidade angular nos dois grupos. Entretanto, em T30° as atletas de voleibol produziram valores superiores de torque nas velocidades angulares mais elevadas. Os valores root mean square (RMS) dos músculos GM e SOL foram mais elevados nas bailarinas que nas atletas de voleibol, tanto nas contrações isométricas quanto nas isocinéticas. Uma diminuição na ativação do GM e do SOL ocorreu com a diminuição da FP nas atletas de voleibol, enquanto os valores RMS se mantiveram estáveis para as bailarinas ao longo de todos os ângulos testados. Os resultados apresentados nesse estudo suportam a hipótese de que a atividade física sistemática provoca alteração nas propriedades intrínsecas musculares e ativação muscular, modificando assim, as relações T-A e T-V.

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Neste trabalho analisamos alguns processos com longa dependência sazonais, denotados por SARFIMA(0,D, 0)s, onde s é a sazonalidade. Os estudos de estimação e previsão estão baseados em simulações de Monte Carlo para diferentes tamanhos amostrais e diferentes sazonalidades. Para estimar o parâmetro D de diferenciação sazonal utilizamos os estimadores propostos por Geweke e Porter-Hudak (1983), Reisen (1994) e Fox e Taqqu (1986). Para os dois primeiros procedimentos de estimação consideramos seis diferentes maneiras de compor o número de regressores necessários na análise de regressão, com o intuito de melhor comparar seus desempenhos. Apresentamos um estudo sobre previsão h-passos à frente utilizando os processos SARFIMA(0,D, 0)s no qual analisamos o erro de previsão, as variâncias teórica e amostral, o vício, o pervício e o erro quadrático médio.

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Parametric term structure models have been successfully applied to innumerous problems in fixed income markets, including pricing, hedging, managing risk, as well as studying monetary policy implications. On their turn, dynamic term structure models, equipped with stronger economic structure, have been mainly adopted to price derivatives and explain empirical stylized facts. In this paper, we combine flavors of those two classes of models to test if no-arbitrage affects forecasting. We construct cross section (allowing arbitrages) and arbitrage-free versions of a parametric polynomial model to analyze how well they predict out-of-sample interest rates. Based on U.S. Treasury yield data, we find that no-arbitrage restrictions significantly improve forecasts. Arbitrage-free versions achieve overall smaller biases and Root Mean Square Errors for most maturities and forecasting horizons. Furthermore, a decomposition of forecasts into forward-rates and holding return premia indicates that the superior performance of no-arbitrage versions is due to a better identification of bond risk premium.

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A literatura tem mostrado, por intermédio de estudos com animais e seres humanos, que o uso reduzido da musculatura (como por exemplo, a imobilização de um segmento) produz uma série de alterações estruturais e funcionais no músculo esquelético. As principais alterações observadas no músculo após a redução do uso estão relacionadas com alterações nas propriedades bioquímicas, na composição de fibras musculares, atrofia muscular, redução na capacidade de produção de força, e redução na capacidade de ativação. Apesar de a maior parte dos estudos sobre o assunto ter sido realizada em modelos animais (os quais possibilitam o estudo invasivo dos mecanismos de adaptação), a incidência de lesões articulares em seres humanos tem motivado os pesquisadores a buscar métodos alternativos e nãoinvasivos para o diagnóstico e acompanhamento das lesões articulares. Tendo em vista que a mecanomiografia (MMG) é uma técnica não-invasiva que permite o estudo do comportamento mecânico e fisiológico do músculo, acredita-se que esta técnica, associada com a avaliação da capacidade de produção de força e com a eletromiografia (EMG), possa ser um método útil no diagnóstico das alterações produzidas por essas lesões e no acompanhamento de programas de reabilitação. O objetivo desse estudo foi avaliar as adaptações musculares após um período de imobilização de duas semanas. Três estudos foram desenvolvidos, sendo os dois primeiros com seres humanos e o terceiro em um modelo animal. O primeiro estudo avaliou as respostas eletromiográficas, mecanomiográficas e de torque dos músculos flexores plantares e dos flexores dorsais do tornozelo durante esforço voluntário. Foram avaliados 23 indivíduos que tiveram seus tornozelos imobilizados em função de um entorse de grau II, e 32 indivíduos saudáveis, que fizeram parte do grupo controle. O segundo estudo, por sua vez, investigou as alterações no comportamento mecânico dos mesmos grupos musculares do estudo 1, ao longo de um protocolo de contrações produzidas via estimulação elétrica, utilizando-se várias freqüências de estimulação (de 5 a 60 Hz). Nos dois estudos, os valores de torque dos flexores plantares e dos flexores dorsais no grupo imobilizado foram significativamente inferiores aos do grupo controle. Essa redução foi mais evidente nos flexores plantares do que nos flexores dorsais. Os valores root mean square (RMS) do sinal EMG, durante a CVM (estudo 1), foram significativamente menores nos músculos gastrocnêmio medial (GM), sóleo (SOL) e tibial anterior (TA) do grupo que foi imobilizado quando comparado ao grupo controle. A mediana da freqüência (MDF) do sinal EMG, durante a CVM, no estudo 1, não apresentou diferença significativa entre os dois grupos da amostra, em nenhum dos três músculos estudados (GM, SOL e TA). Os valores RMS e a MDF do sinal MMG dos músculos GM, SOL e TA não apresentaram diferenças significativas entre os dois grupos da amostra, em nenhum dos dois estudos, indicando que a técnica da MMG não foi capaz de revelar as alterações musculares produzidas por um período de imobilização. O terceiro estudo avaliou as alterações das propriedades mecânicas devido a alterações no comprimento muscular e na freqüência de estimulação nos músculos SOL de 3 gatos. As relações força-comprimento foram estabelecidas ao nível articular, muscular, das fibras musculares e dos sarcômeros. Os resultados demonstraram que as variações de comprimento da fibra diferem das variações de comprimento do músculo como um todo, principalmente nos comprimentos mais encurtados. Existe um maior encurtamento da fibra com o aumento da freqüência de estimulação nos menores comprimentos musculares, enquanto nos maiores comprimentos musculares o aumento da freqüência de estimulação tem um efeito similar sobre as fibras e o músculo como um todo. Os principais achados do presente estudo são de que as respostas da EMG e de torque são alteradas por um período de 2 semanas de imobilização, enquanto as respostas da MMG não, e que o comprimento muscular é uma importante variável que deve ser controlada a nível tanto das fibras musculares, quanto dos componentes elásticos no estudo das propriedades mecânicas do músculo esquelético.

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O objetivo deste trabalho foi verificar a atividade elétrica dos músculos oblíquo externo, reto femoral e das porções supra-umbilical e infra-umbilical do reto abdominal, durante a execução de determinados exercícios abdominais realizados no meio líquido. A amostra foi composta por 20 (vinte) mulheres adaptadas ao meio líquido, com idade entre 21 e 29 anos. A atividade elétrica foi coletada com eletrodos de superfície, sendo o sistema de coleta de dados previamente adaptado, evitando o contato com a água. O exercício de flexão de tronco até a posição sentada, realizado em seco, foi utilizado como referência, sendo o valor root mean square (RMS), da fase ascendente deste exercício, empregado para a normalização da amplitude do sinal coletado durante os demais exercícios. Flexões de tronco e de quadril foram realizadas no meio líquido, na posição horizontal, com o apoio de um tubo nos membros superiores e em um ritmo padrão, sendo dois destes exercícios também realizados em máxima velocidade. Foi utilizado ANOVA two ways, em cada músculo, pelos fatores exercícios e fase. Para melhor compreender a ativação em cada fase, utilizou-se ANOVA one way no valor da fase ascendente de cada músculo pelo fator exercício, assim como somente nos valores da fase descendente. Para verificar onde estavam as diferenças, utilizou-se o Post Hoc de Tukey. Os dados foram também normalizados no tempo, sendo apresentados gráficos da atividade eletromiográfica dos músculos durante todo o ciclo de cada exercício. Ao analisar os exercícios como um todo, constatou-se que os exercícios aquáticos em ritmo padrão possuem menor atividade que o de referência Ao analisar a fase ascendente dos exercícios aquáticos em ritmo padrão, o músculo reto abdominal em todos os exercícios, e o oblíquo externo nos exercícios sem apoio são tão eficiente quanto o exercício referência, mostrando que a instabilidade da posição horizontalizada e a resistência ao movimento compensam a diminuição do peso hidrostático. Já na fase descendente, além de menor atividade, o padrão da atividade muscular modifica nos exercícios aquáticos, possivelmente, mantendo uma atividade de estabilização, enquanto outro grupo muscular é responsável pelo movimento. A realização do exercício em máxima velocidade apresentou uma grande atividade eletromiográfica dos músculos abdominais no meio líquido e, para o reto femoral, a amplitude de movimento foi muito importante para sua ativação. Dessa forma, a flexão de tronco em máxima velocidade é um exercício de grande atividade abdominal e baixa atividade dos flexores de quadril. As características das forças externas ao corpo, nos exercícios abdominais realizados no meio líquido, proporcionam uma situação única de redução de peso hidrostático, resistência ao movimento, apoio relativo e tendência de rotação para atingir o equilíbrio estável.