Perineal descent and patients’ symptoms of anorectal dysfunction, pelvic organ prolapse, and urinary incontinence

Contains fulltext : 89793.pdf (publisher's version ) (Closed access)INTRODUCTION AND HYPOTHESIS: The aim of this dynamic magnetic resonance (MR) imaging study was to assess the relation between the position and mobility of the perineum and patients' symptoms of pelvic floor dysfunction. METHODS: Patients' symptoms were measured with the use of validated questionnaires. Univariate logistic regression analyses were used to study the relationship between the questionnaires domain scores and the perineal position on dynamic MR imaging, as well as baseline characteristics (age, body mass index, and parity). RESULTS: Sixty-nine women were included in the analysis. Only the domain score genital prolapse was associated with the perineal position on dynamic MR imaging. This association was strongest at rest. CONCLUSIONS: Pelvic organ prolapse symptoms were associated with the degree of descent of the perineum on dynamic MR imaging. Perineal descent was not related to anorectal and/or urinary incontinence symptoms.1 juni 201

MST MEMS compact modeling meets model order reduction: Requirements and Benchmarks

Needs for model reduction in microsystem technology (MST) are described from an engineering perspective. The MST model reduction benchmarks are presented in order to facilitate further development in this area. The first benchmark application is electro-thermal simulation and the second one is an electrostatically actuated beam. Model reduction is contrasted with compact modeling, which currently enjoys widespread use among engineers, and important problems to be solved are listed

mor4ansys: Generating Compact Models Directly from ANSYS Models

Model reduction of linear large-scale dynamic systems is already quite an established area [1]--[3]. In a number of papers (see references in [3]), the advantages of model reduction have been demonstrated. In the present paper, we describe a software tool to perform moment-matching model reduction via the Arnoldi algorithm directly to ANSYS finite element models. We discuss the application of the tool to a structural mechanical problem with a second order linear differential equation (ODE). Its successful application to the first order case of electro-thermal modeling is demonstrated elsewhere [4], [5]

MEMS Compact Modeling Meets Model Order Reduction: Examples of the

Modeling and simulation of the behavior of a system consisting of many single devices is an essential requirement for the reduction of design cycles in the development of microsystem applications. Analytic solutions for the describing partial differential equations of each component are only available for simple geometries. For complex geometries, either approximations or numerical methods can be used. However, the numerical treatment of the PDEs of thousands of interconnected single devices with each exhibiting a complex behavior is almost impossible without reduction of the order of unknowns to a lower-dimensional system. We present a fully automatic method to generate a compact model of second-order linear systems based on the Arnoldi process, and provide an example of successfull model order reduction to a gyroscope