Both cream formulations were assessed,

using Visioscan VC

Both cream formulations were assessed,

using Visioscan VC 98, for various parameters including texture parameters (energy, contrast and variance) as well as for skin roughness (Ser), skin scaliness (SEsc), skin smoothness (SEsm) and skin wrinkles (Sew).\n\nResults: Unlike the cream base, the extract cream exhibited steady, significant improvement in skin parameters over the 3-month period of application. Images showed visible improvement of the overall skin appearance and reduction of fine lines by the extract cream. Furthermore, GF120918 order skin texture (variance and contrast) and SELS (SEr, SEsc, SEsm and SEw) parameters showed significant decline (p < 0.05) and the texture parameter of energy showed significant increase (p < 0.05).\n\nConclusion: Our findings indicate that the cream containing 3 % Acacia nilotica bark extract possesses anti-aging effect and improves skin surface

“An Hologic QDR4500A dual energy X-ray absorptiometer (DXA) was used to measure live body composition in 15 second-cross wether lambs ((Border Leicester x Merino) x Poll Dorset) aged 6-8 months (17-50 kg) and 13 mature ewes (composite terminal sire line based largely on Poll Dorset, White Suffolk and Texel breeds) (44-71 kg). After slaughter, DXA scans were also performed on the whole carcasses. Values determined by DXA including total tissue mass (TTM), GSK1838705A lean tissue mass (LTM), fat tissue mass (FTM) and bone mineral content (BMC) for the half carcass were evaluated by comparison with chemically determined composition. In the case of

BMC the relationship was with chemically determined JQ1 clinical trial ash content. Live weight and chemically determined lean, fat and ash were strongly related to DXA-derived values for whole body TTM, LTM, FTM and BMC, respectively (R(2) = 0.999, 0.988, 0.980 and 0.977, respectively). Carcass weight and chemically determined lean, fat and ash were strongly related to DXA-derived values for carcass TTM, LTM, FTM and BMC, respectively (R(2) = 0.998, 0.984, 0.986 and 0.906, respectively). However, because DXA estimates were different from chemically determined values in this sample of carcasses, they needed to be adjusted with the use of appropriate regression equations to correct the inbuilt algorithms used to predict human body composition. These data demonstrate the efficacy of DXA as a non-destructive method for determining the composition of the whole body and carcasses of sheep. (C) 2011 Elsevier B.V. All rights reserved.”
“Background: Data from a dietary-reporting validation study with fourth-grade children were analyzed to investigate a possible relationship of body mass index (BMI) with daily participation in school meals and observed energy intake at school meals, and whether the relationships differed by breakfast location (classroom; cafeteria).\n\nMethods: Data were collected in 17, 17, and 8 schools during three school years.

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