As per World Health Organization estimates more than a billion people live with some form of disability worldwide. Disability casts a significant impact in the development of a disabled child and a constant struggle for the families as well. Multiple political, health care delivery system and social determinants have been identified which have limited the scope of benefit to disabled children. A disabled child represents a vulnerable section of the society because of the socio-psychological restrictions due to disability. The need is to have a comprehensive program for the welfare of the disabled child and their family members to enable them to lead a normal life. To conclude, for doing adequate justice to the differently-abled child, ample scope exists. Political commitment, multi-sectoral involvement and collaboration with international agencies are the main pillars for extending the benefit of welfare measures to the disabled child.

Background: The hypertension in children need not be secondary. The essential hypertension is also increasing in trend. The available literature suggests that there is wide variation in the prevalence of hypertension. This study was taken up with the aim of studying the prevalence and factors responsible for hypertension in school children. Material and Methods: A cross sectional study was conducted to study the prevalence of hypertension in 1,734 school children in Chitradurga district from June 2011 to August 2011. A detailed history was taken in a predesigned proforma. The data thus obtained was compiled and analyzed. Results: The prevalence of hypertension in children in this study was 2.5% and more in females compared to males. The prevalence was higher after 10 years of age. Family history was one of the important risk factor for hypertension in children. The prevalence was also higher in children with higher BMI percentiles. Conclusion: Hypertension is not only common in children but also a neglected entity in children. This calls for urgent attention for the policy makers to begin the preventive measures as early as possible in the life to prevent the co morbidities.

Resource management and load balancing are the main areas of concern in a distributed, heterogeneous and dynamic environment like Grid. Load balancing may further cause Job migration or in some cases resubmission of Job. In this paper a number of job migration algorithms have been surveyed and studied which have resulted because of the Load balancing problem. A comparative analysis of these algorithms has also been presented which summarizes the utility and applicability of different algorithms in different environment and circumstances.

A systematic framework of indicators for sustainability is presented. In our approach there is an emphasis on societal activities that affect nature and on the internal societal resource use. In this way the indicators may give a warning signal to an unsustainable use of resources early in the chain from causes in societal activities to environmental effects. The aim is that socio-ecological indicators shall serve as a tool in planning and decisionmaking processes at various levels in society. The formulation of the indicators is made with respect to four principles of sustainability, which lead to four complementary sets of indicators.

A Network Computing System is a virtual computer formed by a networked set of heterogeneous machines that agree to share their local resources with each other. A grid is a very large scale network computing system that scales to internet size environments with machines distributed across multiple organizationsand administrative domains. The resource management system is the central component of grid computing system. Resources in the grid are distributed, heterogeneous, autonomous and unpredictable. A resource management system matches requests to resources, schedules the matched resources, and executes the requests using scheduled resources. Scheduling in the grid environment depends upon the characteristics of the tasks, machines and network connectivity. The paper provides a brief overview of resource management in grid computing considering important factors such as types of resource management in grid computing, resource management models and comparison of various scheduling algorithm in resource management in grid computing.

Global logistics companies can reduce the cost of international trade and increase consumer welfare. By reducing total transportation costs and increasing production and distribution efficiencies, these companies allow both exporting and importing countries to use fewer scarce resources to meet the needs of producers and consumers. This paper will employ a computable general equilibrium (CGE) model to quantify the economic impacts of global logistics companies in United States. As a major exporter and importer of goods and services, the United States is in a position to affect the consumer welfare of people around the globe. The CGE model will measure the effect of lowering costs in transportation and logistics for trade between the United States and the world. Results show significant increases in trade and consumer welfare, and interesting shifts in production and consumption. The United States in particular would stand to benefit.

Owing to a large number of applications periodic pattern mining has been extensively studied for over a decade. Periodic pattern is a pattern that repeats itself with a specific period in a give sequence. Periodic patterns can be mined from datasets like biological sequences, continuous and discrete time series data, spatiotemporal data and social networks. Periodic patterns are classified basedon different criteria. Periodic patterns are categorized as frequent periodic patterns and statistically significant patterns based on the frequency of occurrence. Frequent periodic patterns are in turn classified asperfect and imperfect periodic patterns, full and partial periodic patterns, synchronous and asynchronous periodic patterns, dense periodic patterns, approximate periodic patterns. This paper presents a survey of the state of art research on periodic pattern mining algorithms and their application areas. A discussion of merits and demerits of these algorithms was given. The paperalso presents a brief overview of algorithms that can be applied for specific types of datasets like spatiotemporal data and social networks.

To improve highway transport security, VANET (Vehicular Ad Hoc Network) is used which is a developing technology incorporating ad hoc network, cellular technology and wireless LAN. VANETs are different from other type ad hoc networks by their cross network constructions, node association features and new application setups. The approach of an effective routing protocol for VANETs is vital as VANETs show various distinctive networking research challenges. In this paper, we discuss the research challenges of routing in VANETs and compare recent routing protocols of VANETs.

Pourquoi les pays arabes ont perdu leur hégémonie qu’ils ont pu concrétiser depuis le septième siècle ? Cette question est d’une grande importance car elle demeure jusque-là une question d’actualité à laquelle il faut trouver une réponse. Fouad Khalil a essayé de nous donner quelques éléments de réponse dans son ouvrage intitulé « la pensée arabe de renaissance : la fracture structuraliste». Toutefois, selon le point de vue d’un économiste les arguments avancés dans ledit ouvrage manquent, à notre avis, de certains aspects méthodologiques et analytiques qui peuvent réduire l’efficacité d’analyse présentée par l’auteur. Le présent article essaye, en premier lieu, de présenter l’ouvrage et, en second lieu, de discuter et critiquer ses apports en matière de résultats trouvés.

Component-Based Software Engineering (CBSE) is increasingly being accepted worldwide for software development, in most of the industries. Software reliability is defined as the probability that a software system operates with no failure within a specified time on specified operating conditions. Software component reliability and failure intensity are two important parameters that Estimates the reliability of system after integration of component. The estimation of reliability of software can save loss of time, life and cost. In this paper, software reliability has been estimated by analyzing the failure data. The Imperfect Software Reliability Growth Models (SRGMs) model have been used for simulating the software reliability by estimating the number of remaining faults and the model parameters of the fault content rate function. We aim for simulating software reliability by connecting the imperfect debugging and Goel-Okumoto model. The estimation of reliability gives the time of stopping the unending testing of that component or time of release of software component.