001), femur length (r = 0 719, P = 0 001) and sacrum length (r =

001), femur length (r = 0.719, P = 0.001) and sacrum length (r = 0.696, P = 0.001). However, the same statistically significant correlation exists between abdominal circumference and the other sonographic measurements (r = 0.223, P = 0.375).

The fetal sacral length appears as an easily acquired and valuable parameter, which directly and strongly correlates with gestational age and other biometrical measurements. Therefore,

fetal sacral length may be utilized as a complementary tool in both the evaluation of fetal growth and prediction of gestational age. Further research is required to determine the significance of fetal sacral length in prenatal follow-up.”
“This find more study was carried out for post-mortem non-destructive prediction of water holding capacity (WHC) in fresh beef using near infrared (NIR) hyperspectral imaging. Hyperspectral images were acquired for different beef samples originated from different breeds and different muscles and their spectral signatures were extracted. Both principal component analysis (PCA) and partial least squares regression (PLSR) models were developed to obtain an overview of the systematic spectral variations and to correlate spectral data of beef samples to its real WHC estimated by drip loss method. Partial least squares modeling resulted in a coefficient of determination (R-CV(2)) of 0.89 and standard error estimated

by cross validation (SECV) of 0.26%. The PLSR loadings showed that there are some important absorption peaks throughout the whole spectral

range that had the greatest TPCA-1 clinical trial influence on the predictive models. Six wavelengths (940, 997, 1144, 1214, 1342, and 1443 nm) were then chosen as important wavelengths to build a new PLS prediction model. The new model led to a coefficient of determination (R-CV(2)) of 0.87 and standard error estimated by cross validation (SECV) of 0.28%. Image processing algorithm was then developed to transfer the predicting model to each pixel in the image for visualizing drip loss in all portions of the sample. The results showed that hyperspectral imaging has the potential to predict Selleck DZNeP drip loss non-destructively in a reasonable accuracy and the results could be visualised for identification and classification of beef muscles in a simple way. In addition to realize the difference in WHC within one sample, it was possible to accentuate the difference in samples having different drip loss values. (C) 2011 Elsevier Ltd. All rights reserved.”
“Sacral colpopexy may be complicated by mesh exposure, and the surgical treatment of mesh exposure typically results in minor postoperative morbidity and few delayed complications. A 75-year-old woman presented 7 years after a laparoscopic sacral colpopexy, with Mersilene mesh, with an apical mesh exposure. She underwent an uncomplicated transvaginal excision and was asymptomatic until 8 months later when she presented with vaginal drainage and a sacral abscess.

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