Avaliação da incontinência urinária de esforço em mulheres na pós-menopausa com e sem queixa de perda urinária através da aplicação do pad-test de 1 hora

Stress urinary incontinence (SUI) is defined as "involuntary loss of urine" due to several processes that alter the ability of the bladder to hold urine properly, regarded as a social and hygienic problem that adversely affects quality of life. In postmenopausal women, IU is associated with atrophy and weakness of the pelvic floor muscles. The objective this study was investigate, using the onehour pad test, stress urinary leakage (SUI), evaluate and compare their results in postmenopausal and premenopausal women. The survey was characterized as a cross-sectional study. The study consisted of 60 postmenopausal women were divided into GIU - consisting of 34 volunteers complaining of involuntary loss of urine during stress - and GSIU - consisting of 26 volunteers without complaints of loss of urine during stress, and 15 women, during the premenopausal (GPM), and ovulatory with normal menstrual cycle. All volunteers were evaluated clinically, subjected to one-hour pad test, after the biochemical evaluation of blood and sex hormones. Statistical analysis was performed by descriptive analysis, ANOVA, Turkey´s post-test and Pearson correlation. The results showed that 100% of postmenopausal patients had involuntary loss of urine during one hour pad test (GIU: 4.0 g; GSIU: 4.5 g). GPM remained continent after an hour pad test (GPM: 0.4 g). In addition, Pearson showed a strong correlation between urine loss with time since menopause (r = 0.8, p <0.01) and body mass index - BMI (r = 0.7; p = 0.01). These data suggest that the one-hour pad test is a useful test to assess and quantify urinary leakage, including those volunteers who had no previous complaint of SUI

Escalabilidade Paralela de um Algoritmo de Migração Reversa no Tempo (RTM) Pré-empilhamento

The seismic method is of extreme importance in geophysics. Mainly associated with oil exploration, this line of research focuses most of all investment in this area. The acquisition, processing and interpretation of seismic data are the parts that instantiate a seismic study. Seismic processing in particular is focused on the imaging that represents the geological structures in subsurface. Seismic processing has evolved significantly in recent decades due to the demands of the oil industry, and also due to the technological advances of hardware that achieved higher storage and digital information processing capabilities, which enabled the development of more sophisticated processing algorithms such as the ones that use of parallel architectures. One of the most important steps in seismic processing is imaging. Migration of seismic data is one of the techniques used for imaging, with the goal of obtaining a seismic section image that represents the geological structures the most accurately and faithfully as possible. The result of migration is a 2D or 3D image which it is possible to identify faults and salt domes among other structures of interest, such as potential hydrocarbon reservoirs. However, a migration fulfilled with quality and accuracy may be a long time consuming process, due to the mathematical algorithm heuristics and the extensive amount of data inputs and outputs involved in this process, which may take days, weeks and even months of uninterrupted execution on the supercomputers, representing large computational and financial costs, that could derail the implementation of these methods. Aiming at performance improvement, this work conducted the core parallelization of a Reverse Time Migration (RTM) algorithm, using the parallel programming model Open Multi-Processing (OpenMP), due to the large computational effort required by this migration technique. Furthermore, analyzes such as speedup, efficiency were performed, and ultimately, the identification of the algorithmic scalability degree with respect to the technological advancement expected by future processors