Predicting the expansion of an urban boundary using spatial logistic regression and hybrid raster–vector routines with remote sensing and GIS Amin Tayyebi, Phillips Christian Perry & Amir Hossein Tayyebi a University of Wisconsin-Madison, Wisconsin Energy Institute, Madison, WI, USA b Department of Natural Resources, New York Cooperative Fish and Wildlife Research Unit, Cornell University, Itha...

COURSE IN THE AREA OF HEALTH PROMOTION Mahrokh Kheshvari, Niko Yamani, Peyman Abidi, Hossein Shahnazi. Assistant Professor, Nursing and Midwifery Research Center in nursing and midwifery school in Isfahan University of medical sciences, Isfahan, Iran; Associate Professor, Medical Education Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Professor of Medicine; Isfahan Uni...

inv(16)(p13q22) Gbanding (left) Courtesy Jean-Luc Lai and Alain Vanderhaegen; Rbanding center bottom: Courtesy Christiane Charrin, center top and FISH (top right) -Courtesy Pascale Cornillet-Lefebvre and Stephanie Struski; FISH (bottom right) Courtesy Hossein Mossafa; commercial FISH probes, split in the inv(16). t(16;16)(p13;q22) G-banding Courtesy Diane H. Norback, Eric B. Johnson, and Sara M...

s. m. shah

We prove that, if u is a function satisfying all Euler conditions for the Mumford-Shah functional and the discontinuity set of u is given by three line segments meeting at the origin with equal angles, then there exists a neighbourhood U of the origin such that u is a minimizer of the Mumford-Shah functional on U with respect to its own boundary conditions on ∂U . The proof is obtained by using...

The Mumford-Shah functional, introduced to study image segmentation problems, is approximated in the sense of F-convergence by a séquence of intégral functionals defined on piecewise affine functions. Résumé. La fonctionnelle de Mumford et Shah, proposée pour l'étude du problème de la segmentation d'images, est approchée au sens de la F-convergence par une suite de fonctionnelles intégrales déf...

This paper presents a novel adaptive vision system for accurate segmentation of tissue structures in echographic medical images. The proposed vision system incorporates a level-set deformable model based on a modified Mumford-Shah functional, which is estimated over sparse foreground and background regions in the image. This functional is designed so that it copes with the intensity inhomogenei...

Formulae for the number of branch points of one-dimensional orbifolds defined over a non-archimedean local field and uniformisable by discrete projective linear groups are given. They depend only on the uniformising group. The method of equivariant pasting reveals the possible relative position of the branch points.