Image Reconstruction and Resolution via Electrical Impedance Tomography

Electrical Impedance Tomography (EIT) is the cheapest imaging method known but with a questionable ability to produce reliable image. Improving the resolution and the quality of the reconstructed image will be the ultimate aim of this project. Image of better quality is achievable with the incremental number of electrodes used. A better image quality is possible with the utilization of a finer-meshed Finite Element Model (FEM) in solving forward problem of the algorithm involves. Further improvement on the images is attainable with the application of image post-processing of Matlab, in which an image of better contrast and noise-free is reconstructed. We are now one step closer in establishing EIT as a reliable imaging technique in the future

Image Reconstruction and Resolution via Electrical Impedance Tomography

Electrical Impedance Tomography (EIT) is the cheapest imaging method known but with a questionable ability to produce reliable image. Improving the resolution and the quality of the reconstructed image will be the ultimate aim of this project. Image of better quality is achievable with the incremental number of electrodes used. A better image quality is possible with the utilization of a finer-meshed Finite Element Model (FEM) in solving forward problem of the algorithm involves. Further improvement on the images is attainable with the application of image post-processing of Matlab, in which an image of better contrast and noise-free is reconstructed. We are now one step closer in establishing EIT as a reliable imaging technique in the future

Image Reconstruction and Resolution via Electrical Impedance Tomography

Electrical Impedance Tomography (EIT) is the cheapest imaging method known but with a questionable ability to produce reliable image. Improving the resolution and the quality of the reconstructed image will be the ultimate aim of this project. Image of better quality is achievable with the incremental number of electrodes used. A better image quality is possible with the utilization of a finer-meshed Finite Element Model (FEM) in solving forward problem of the algorithm involves. Further improvement on the images is attainable with the application of image post-processing of Matlab, in which an image of better contrast and noise-free is reconstructed. We are now one step closer in establishing EIT as a reliable imaging technique in the future

SwISS:A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy

Divide-and-conquer strategies for Monte Carlo algorithms are an increasingly popular approach to making Bayesian inference scalable to large data sets. In its simplest form, the data are partitioned across multiple computing cores and a separate Markov chain Monte Carlo algorithm on each core targets the associated partial posterior distribution, which we refer to as a sub-posterior, that is the posterior given only the data from the segment of the partition associated with that core. Divide-and-conquer techniques reduce computational, memory and disk bottle-necks, but make it difficult to recombine the sub-posterior samples. We propose SwISS: Sub-posteriors with Inflation, Scaling and Shifting; a new approach for recombining the sub-posterior samples which is simple to apply, scales to high-dimensional parameter spaces and accurately approximates the original posterior distribution through affine transformations of the sub-posterior samples. We prove that our transformation is asymptotically optimal across a natural set of affine transformations and illustrate the efficacy of SwISS against competing algorithms on synthetic and real-world data sets

SwISS:A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy

Divide-and-conquer strategies for Monte Carlo algorithms are an increasingly popular approach to making Bayesian inference scalable to large data sets. In its simplest form, the data are partitioned across multiple computing cores and a separate Markov chain Monte Carlo algorithm on each core targets the associated partial posterior distribution, which we refer to as a sub-posterior, that is the posterior given only the data from the segment of the partition associated with that core. Divide-and-conquer techniques reduce computational, memory and disk bottle-necks, but make it difficult to recombine the sub-posterior samples. We propose SwISS: Sub-posteriors with Inflation, Scaling and Shifting; a new approach for recombining the sub-posterior samples which is simple to apply, scales to high-dimensional parameter spaces and accurately approximates the original posterior distribution through affine transformations of the sub-posterior samples. We prove that our transformation is asymptotically optimal across a natural set of affine transformations and illustrate the efficacy of SwISS against competing algorithms on synthetic and real-world data sets

Exile Vol. XIV No. 1

POETRY For George Wallace by Tom Cook 5 For Candy by Tom Cook 6-7 G. M. by Nancy Scott 13 Spinning Song by Karen Cozart 14 Traps by Bob Martin 21 Potato Cellar by Bob Martin 21 untitled by Jeffrey Smith 23 Summer Correspondence I by Lauren Shakely 39 Untitled by Hank Vyner 40 When He Returns, Tell Him by Barb Ingle 40 untitled by Tim Cope 41 FICTION The Elephants by Cem Kozlu 9-12 A Hill by Dick Devine 15-20 Man Minus 1 by Tom Cook 26-38 A Playmate by Jim Ruddock 43-44 ART Pen and Ink by Charles Greacen 4 Illustration For The Elephants by Kee MacFarlane 8 Pen and Ink by Bob Willis 20 Illustration For Career Girl 22 Illustration for A Playmate by Bob Tauber 42 Cover art by Kee MacFarlan

Vitronectin as a micromanager of cell response in material-driven fibronectin nanonetworks

Surface functionalization strategies of synthetic materials for regenerative medicine applications comprise the development of microenvironments that recapitulate the physical and biochemical cues of physiological extracellular matrices. In this context, material-driven fibronectin (FN) nanonetworks obtained from the adsorption of the protein on poly(ethyl acrylate) provide a robust system to control cell behavior, particularly to enhance differentiation. This study aims at augmenting the complexity of these fibrillar matrices by introducing vitronectin, a lower-molecular-weight multifunctional glycoprotein and main adhesive component of serum. A cooperative effect during co-adsorption of the proteins is observed, as the addition of vitronectin leads to increased fibronectin adsorption, improved fibril formation, and enhanced vitronectin exposure. The mobility of the protein at the material interface increases, and this, in turn, facilitates the reorganization of the adsorbed FN by cells. Furthermore, the interplay between interface mobility and engagement of vitronectin receptors controls the level of cell fusion and the degree of cell differentiation. Ultimately, this work reveals that substrate-induced protein interfaces resulting from the cooperative adsorption of fibronectin and vitronectin fine-tune cell behavior, as vitronectin micromanages the local properties of the microenvironment and consequently short-term cell response to the protein interface and higher order cellular functions such as differentiation