The effect of different concentrations of K+, Na+, Ca2+, Ni2+, Al3+ and Fe3+ ions on surface-active substance monolayer stability has been studied using molecular mechanics method. For numerical calculations, energy potential Amber was used. Arachidic acid was chosen as a surface-active substance for monolayer formation because it is insoluble in water at normal conditions. Energy stability values representing system stability was calculated for different ion concentrations. It is established that the most stable system is formed by trivalent metal ions and that system stability decreases together with ionic charge. For each type of ions, a concentration value corresponding to most optimal stability was found with further increase of ion concentration leading to decrease of stability.
It is developed within a method of the active contours the approach, which is allowing to realize separation of a contour of a object of the image in case of its segmentation. This approach exceeds a parametric method on speed, but also does not concede to it on decision accuracy. The approach is offered within this operation will allow to realize allotment of a contour with high accuracy of the image and quicker than a parametric method of the active contours.
Object of study: The investigation is focused on development of personalized medicine. The determination of mechanical properties of bone tissues based on in vivo data was considered. Methods: CT, MRI, natural experiments on versatile test machine Instron 5944, numerical experiments using Python programs. Results: The medical diagnostics methods, which allows determination of mechanical properties of bone tissues based on in vivo data. The series of experiments to define the values of mechanical parameters of bone tissues. For one and the same sample, computed tomography (CT), magnetic resonance imaging (MRI), ultrasonic investigations and mechanical experiments on single-column test machine Instron 5944 were carried out. The computer program for comparison of CT and MRI images was created. The grayscale values in the same points of the samples were determined on both CT and MRI images. The Haunsfield grayscale values were used to determine rigidity (Young module) and tensile strength of the samples. The obtained data was compared to natural experiments results for verification.