“When mechanical factors underlie growth, development, disease or healing, they often function through local
regions of tissue where deformation is highly concentrated. Current optical techniques to estimate deformation can lack precision and accuracy in such regions due to challenges in distinguishing a region of concentrated deformation from an error in displacement tracking. Here, we present a simple and general technique for improving the accuracy and precision of strain estimation and an associated technique for distinguishing a concentrated deformation from a tracking error. The strain estimation technique improves accuracy relative to other state-of-the-art algorithms by directly estimating strain fields without first estimating displacements, resulting in a very simple method and low computational cost. The technique for identifying S3I-201 datasheet local elevation of strain enables for the first time the successful identification of the onset and consequences of local strain concentrating features such as cracks and tears in AL3818 price a highly strained tissue. We apply these new techniques to demonstrate a novel hypothesis in prenatal wound healing. More generally, the analytical methods we have developed provide a simple tool for quantifying the appearance and magnitude of localized deformation from a series of digital images
across a broad range of disciplines.”
“Objective: The Canadian Diabetes Association recommends that people with diabetes choose foods with low-glycemic index (GI). This study developed a questionnaire PR-171 mw measuring Theory of Planned Behaviour (TPB) constructs relative to consuming a low-GI diet
by people with diabetes so as to achieve a better understanding of which TPB constructs, demographic characteristics and diabetes-related variables best predict intention to consume a low-GI diet. Method: A questionnaire to measure intentions to consume a low-GI diet was developed based on TPB constructs and was administered to 369 adults (30 to 75 years) with type 1 or type 2 diabetes. Responses were analyzed using multiple linear regression. Results: More than 90% of participants (mean age, 56.5 +/- 10.8 years; mean body mass index, 30.5 +/- 7.2 kg/m(2)) cited reduction and maintenance of healthy blood glucose levels as an advantage of eating low-GI foods. Older age, higher income, female gender, having type 2 diabetes, diabetes treatment (diet only) and understanding of the GI were positively associated with intention to eat a low-GI diet. TPB constructs that significantly predicted intentions to eat a low-GI diet were instrumental attitude (beta = 0.24, p smaller than 0.001); subjective norms (beta = 0.13, p = 0.007); and perceived behavioural control (beta = 0.55, p smaller than 0.001). Conclusions: This new questionnaire is a valid tool to assess TPB constructs contributing to intentions to eat a low-GI diet by people with diabetes.