15 research outputs found

    Long-term fate of vascularized iliac bone flap as a source for phallic rigidity

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    WOS: 000182734500011PubMed: 12792540One of the surgical goals of phalloplasty is to obtain sufficient rigidity for sexual penetration. This is also important for patients with erectile dysfunction. Different kinds of techniques have described phalloplasty and obtaining rigidity in patients with erectile dysfunction, but there is no good substitute for the erectile tissue of the penis. The authors used an iliac osteocutaneous flap for phalloplasty and a vascularized bone flap for imitating penile erection. Five patients who had undergone either phalloplasty or correction of erectile dysfunction are presented. Long-term results are promising in adults and the authors advocate using vascularized iliac bone for sufficient rigidity of a (neo)phallus. However, the results are moderate for children who have undergone previous phalloplasty

    Penile agenesis and clavicular anomaly in a child with an oral facial digital syndrome

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    We report a male patient with the clinical characteristics of an OFDS (oral facial digital syndrome). He also has penile agenesis, clavicular flattening and cerebellar anomalies. This patient was classified as a severe form of OFD type II-Mohr syndrome but the possibility of this being OFDS VI-Varadi syndrome or a new form of OFDS cannot completely be excluded

    Application of ANN techniques for estimating backwater through bridge constrictions in Mississippi River basin

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    Bridge backwater data were collected for 92 different floods at 35 bridge sites in the Mississippi River basin in 1960s [Neely BL. Hydraulic performance of bridges, hydraulic efficiency of bridges-analysis of field data. Unpublished Report Conducted by US Geological Survey, June 30; 1966]. This major field data showed that the backwater computed both by the United States Geological Survey's method (USGS) and the United States Bureau of Public Roads' method (USBPR) averaged approximately 50% less than the measured backwater. Therefore, in the current work, a new bridge backwater formula based on the three different artificial neural network approaches (ANNs), namely FFBP (Feed-Forward Back Propagation), RBNN (Radial Basis Function-Based Neural Network), and GRNN (Generalized Regression Neural Networks) are proposed and compared with the methods mentioned above. The results showed that the FFBP produced slightly better estimations than those of the RBNN and these two was significantly superior to the GRNN, USGS and USBPR methods when applied to Neely's field data. © 2009 Elsevier Ltd. All rights reserved
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