To our knowledge, these patients represent the first reported North American adults with severe community-onset MRSA pneumonia caused by strains carrying the PVL genes.

Purpose -The changes in social and cultural framework, and even more in the economic order, have pushed the education system and higher education in particular, into a new environment in which quality plays an important role. Thus, the purpose of the current study is to develop a multidimensional scale to measure service quality in higher education in the Indian context. Design/methodology/approach -The study, descriptive, diagnostic, and causal in nature, has been conducted on students of higher education, particularly technical education in India. A questionnaire consisting of 26 items was developed to measure the service quality construct and its dimensions. Construct validation using exploratory factor analysis showed an interpretable latent structure consisting of seven dimensions. Findings -It was observed that service quality in higher education setting comprises seven dimensions viz., input quality, curriculum, academic facilities, industry interaction, interaction quality, support facilities and non academic processes.Research limitations/implications -The study holds implications for institutes of technical education in India that seek to improve the quality of service that they provide. The scale developed can be used by practitioners as a diagnostic tool for identifying poor and/or excellent service performance. Originality/value -While studies in quality management for education have been conducted, this study lays emphasis on the student as a customer of education, and proposes to develop a scale to measure their perception of service quality. The study is an attempt towards developing and empirically validating a measurement scale for service quality in higher education in the Indian context.

Purpose -In a pursuit of excellence, it is increasingly important to identify customer values and demands. Service quality has been identified as one such demand. The purpose of this paper is to develop the model for service quality in higher education. Design/methodology/approach -The proposed model is based on a current conceptualization of service quality, which suggests that service quality is a multidimensional and hierarchical construct. Findings -In the proposed model, service quality consists of two primary dimensions which are defined by several corresponding sub-dimensions: program quality: curriculum, industry interaction, input quality, academic facilities; and quality of life: non-academic processes, support facilities, campus and interaction quality. Originality/value -The paper has value for the institutes seeking to improve the quality of services they provide.

Mooren's ulcer followed by collagen vascular diseases and infection are important causes of PUK in developing countries. Surgical intervention in perforated cases had good anatomical success and visual prognosis.

Abstract-Medical image processing is used for the diagnosis of diseases by the physicians or radiologists. Noise is introduced to the medical images due to various factors in medical imaging. Noise corrupts the medical images and the quality of the images degrades. This degradation includes suppression of edges, structural details, blurring boundaries etc. To diagnose diseases edge and details preservation are very important. Medical image denoising can help the physicians to diagnose the diseases. Medical images include MRI, CT scan, x-ray images, ultrasound images etc. In this paper we implemented bilateral filtering for medical image denoising. Its formulation & implementation are easy but the performance of bilateral filter depends upon its parameter. Therefore for obtaining the optimum result parameter must be estimated. We have applied bilateral filtering on medical images which are corrupted by additive white Gaussian noise with different values of variances. It is a nonlinear and local technique that preserves the features while smoothing the images. It removes the additive white Gaussian noise effectively but its performance is poor in removing salt and pepper noise.