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By using molecular dynamics (MD), we study the course of behavior and constitution of lipid vesicle in order to be able to recreate the measured results obtained in previous experiments. Simulated lipid vesicles are composed of thousands of DSPC lipid molecules. All preformed vesicles have a mean radius of around nine nanometers and interact with the watery environment. We use coarse grain molecular...
Microfluidic-based biochips are replacing the conventional biochemical analyzers, and are able to integrate on-chip all the necessary functions for biochemical analysis using microfluidics. The digital microfluidic biochips are based on the manipulation of liquids not as a continuous flow, but as discrete droplets on an array of electrodes. Microfluidic operations, such as transport, mixing, split,...
Distribution electricity network planning needs consolidated regional and national views of predicted future loads. A power utility established load forecasting tool requires load profile data that will be used in calculating coincidence factors between loads of different classes and sub-classes as per economic activity and geospatial location. Regional industrial and commercial electricity load profile...
The segmentation of shapes from biomedical images has a wide range of uses such as image based modelling and bioimage analysis. In this paper, an active contour model is proposed for the segmentation of N-dimensional biomedical images. The proposed model uses a curvature smoothing flow and an image attraction force derived from the interactions between the geometries of the active contour model and...
Protein-ligand interaction is important in drug development and protein design. Previous studies focused on the detection of the potential ligand binding sites but lack of analysis of the true binding sites on the protein. In this work, we use alpha shape models to represent the surface of the protein structure and extract surface patches to study the ligand binding sites. Analysis is performed on...
This work proposes molecular dynamics simulations used to derive guidelines for the design of the superparamagnetic nanocapsules (spherical-like or tubular-like) dedicated to cross the brain-blood barrier by magnetic forces. We focus our study on capillaries that have opened fenestrations when the integrity of the endothelial barrier is perturbed by tumors. We identified three different categories...
Morphogenesis is the biological process in which a fertilized cell divides, cells migrate and interact with each other, and finally resulting in the mature body plan under the control of gene regulatory networks (GRNs). Recently, biological discovered that 85% of the gene-gene regulation networks are composed of frequently recurring network patterns, which are called network motifs. Inspired by these...
Forest is an important part of terrestrial ecosystem which plays a significant role in absorbing and storing carbon. In order to estimate the forest carbon sinks, a tree growth model is established considering all the factors including the age, site, individual density and stand factors of tree and the trees are classify into five types by using fuzzy clustering based on growth parameters. Then, the...
To investigate the vesicle shapes of the area difference elasticity (ADE) model, the shooting method and mathematica software were used to calculate the shapes of vesicles. Results not only several corresponding shapes of vesicles, such as oblate and prolate shapes were obtained but also some new shapes of vesicles were gained by limiting some parameters in the ADE model. Studies have shown that the...
The seamless integration of the shape and visual attributes of virtual objects is still one of the greatest challenges in Computer Graphics. For some natural objects, such as patterned animals, shape and appearance are mutually connected and therefore the individual treatment of these two aspects difficult the whole process and limits the visual results. One approach to solve this problem is to create...
We present a general method of estimating a snake robot's motion over flat ground using only knowledge of the robot's shape changes over time. Estimating world motion of snake robots is often difficult because of the complex way a robot's cyclic shape changes (gaits) interact with the surrounding environment. By using the virtual chassis to separate the robot's internal shape changes from its external...
Low back pain is a current and increasing problem closely related to intervertebral disc degeneration, which is responsible for over 90% of spinal surgical procedures. In clinical routine, clinicians base their diagnosis of disc degeneration on 2D analysis of Magnetic Resonance (MR) images. In this work, an automatic 3D segmentation method, based on active shape models, is presented for both degenerated...
This paper proposes a novel pose-invariant segmentation approach for left ventricle in 3D CT images. The proposed formulation is modular with respect to the image support (i.e. landmarks, edges and regional statistics). The prior is represented as a third-order Markov Random Field (MRF) where triplets of points result to a low-rank statistical prior while inheriting invariance to global transformations...
Trabecular bone has traditionally been assumed to be composed of plate- and rod-like trabeculae. This paper proposes a method to numerically evaluate the appropriateness of this assumption. In a first step, local constancy of thickness is estimated by comparing the maximum and mean diameter of the maximum inscribed balls centered at the medial axis/surface that includes every local point. In a second...
We introduce a method to automatically extract the spike features of the AIDS virus imaged through an electron microscope. This method detects the location of the spikes and extracts a sub-volume enclosing the spike with a sensitivity of 80%. The extracted spikes are further aligned and combined to build a 4D statistical shape model, where each voxel in the shape model is assigned a probability density...
Realistic data-driven models of the tongue shape can be obtained by learning a nonlinear mapping from tongue landmarks to full contours, trained on a dataset of thousands of contours. Semiautomatic contour extraction from ultrasound takes a lot of time and effort from an expert, so practically it is preferable to adapt a reference model given just a few contours from the new speaker. However, adaptation...
This paper proposes a functional that assigns low ‘energy’ to sets of subsets of the image domain consisting of a number of possibly overlapping near-circular regions of approximately a given radius: a ‘gas of circles’. The model can be used as a prior for object extraction whenever the objects conform to the ‘gas of circles’ geometry, e.g. cells in biological images. Configurations are represented...
We present an efficient and accurate algorithm for face tracking using a set of Active Appearance Models (AAMs). We observe that a single AAM, trained at a particular model resolution and a particular range of displacements, has a “sweet spot” - a range of displacements for which it is most accurate. A common approach to increasing the range of convergence is to use a multi-resolution model, or a...
The phase response properties of the Hindmarsh-Rose model in different blocks are investigated in this paper. We find: (1) the location of the largest magnitude of the BPRCs can only be in the penultimate spike or the final spike which depends on the position of the system in the block. (2) the location of the largest magnitude of the BPRCs changes sharply when the system transits from one block to...
Rapid urbanization in China has led to profound transform of the spatial pattern in urban landscape, especially on rural-urban fringes. Well understanding about the change process of green space pattern on fringes is essential to optimize urban green space system, while the fractal metrics and analysis of green patches are the effectual measures to understand, assess and optimize green spaces. This...
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