Biochemical Markers of Liver Toxicity among Coal Mine Workers of Punjab, Pakistan Suffering from HCV

Hepatitis C is among the leading hepatic disorders in current period through which about 3 % world population has been anguish among them 170 million were diagnosed as persistent carriers. A great range of alteration in liver biochemical parameters were found to be allied with HCV infestation. Current study was designed to evaluate the extent of HCV mediated abnormalities in liver biochemical markers which includes ALT (alanine aminotransferase), AST (Aspartate transaminase), ALP (Alkaline Phosphatase) and serum bilirubin. The study was conducted on coal miners of Punjab province, Pakistan. HCV was primarily diagnosed through one step rapid test device after which positive samples were confirmed through ELISA. Biochemical markers were determined through Autoanalyzer by using standard procedure provided with spinreact kits. Simple linear regression analysis significantly explained 24 %, 56.2 %, 68.8 % and 56 % variance in ALT (alanine aminotransferase), AST (Aspartate transaminase), ALP (Alkaline Phosphatase) and serum bilirubin level among HCV positive coal mine workers respectively. Results have clearly indicated significant correlation between HCV seropositivity and liver biochemical markers. Findings of present study conclude monitoring of liver biochemical markers is crucial during HCV infectivity as it represents the degree of impairment in liver functioning. In addition to this elevation in these diagnostic markers could points toward the presence of HCV in respective individual

Comparative Study and Improved Security Threats in Cloud Computing

ABSTRACT Data security is the fundamental issue of all information systems. In cloud computing environment data security is a serious issue because data is distributed and scattered in various places. Though a lot of work is done in order to provide secure cloud environment, data security is still the main hurdle in the development of this system. This paper reviews various security challenge and techniques to solve security issues in order to achieve data protection in cloud environment. In this paper we have done a comparative analysis of existing research in the field of cloud computing data security and privacy

A novel image encryption technique using hybrid method of discrete dynamical chaotic maps and Brownian motion.

Information security is an important and critical subject of the current digital era. Nowadays, almost all information is digital in nature and security from hackers and eavesdroppers has become vital in civil (big giant corporations) as well as in defense organizations. One type of information in bit streams is in the form of digital images. In this article, an idea to combine Brownian motion with ternary unique orientation has been implemented which is related to random motion over time and spatial coordinates. Moreover, chaotic dynamical map has been used to add one more security level to the proposed encryption scheme. The proposed scheme is evaluated on different statistical tests and these results are compared with already existing benchmarks. The results show that the proposed algorithm has better security performances as compared to existing image enciphering schemes