conclusions after seven consecutive passages of both cell cultures, the h9n2 virus showed similar antigenicity, also no change on viral titer level and virus replication behavior in adaptation was found. the results highlighted the use of a549 cells for efficient virus isolation. results the influenza virus infectivity was not significant difference in these cells in the presence of trypsin. th...

the ds-rna activated protein kinase (pkr) is a serine-threonine kinase with mw of 68 kda. it belongs to a family of kinases that control one of the translational initiation factors, eif2. pkr is produced at high level in response to viral infection. this protein by phosphorylating eif2 inhibits cellular protein synthesis. in this study, the effect of gamma interferon (ifn-γ), an activator, and ...

This paper investigates the use of redundancy and self repairing against node failures indistributed storage systems using a novel non-MDS erasure code. In replication method, accessto one replication node is adequate to reconstruct a lost node, while in MDS erasure codedsystems which are optimal in terms of redundancy-reliability tradeoff, a single node failure isrepaired after recovering the ...

Data Grid is a geographically distributed environment that deals with data intensive application in scientific and enterprise computing. Data replication is a common method used to achieve efficient and fault-tolerant data access in Grids. In this paper, a dynamic data replication strategy, called Enhanced Latest Access Largest Weight (ELALW) is proposed. This strategy is an enhanced version of...

Data Grid environment is a geographically distributed that deal with date-intensive application in scientific and enterprise computing. In data-intensive applications data transfer is a primary cause of job execution delay. Data access time depends on bandwidth, especially when hierarchy of bandwidth appears in network. Effective job scheduling can reduce data transfer time by considering hiera...

Data Grids seek to harness geographically distributed resources for large-scale data-intensive problems such as those encountered in high energy physics, bioinformatics, and other disciplines. These problems typically involve numerous, loosely coupled jobs that both access and generate large data sets. Effective scheduling in such environments is challenging, because of a need to address a vari...

Grid computing is essentially distributed computing over wide-area networks that often involve large scale resource sharing among collaborations of individuals or institutes. Computational Grids address computationally intensive applications that deal with complex and time consuming computational problems on relatively small data sets, whereas Data Grids address data intensive applications that...

SRC kinases and PKR are intracellular protein kinases, which play key roles in intracellular viral replication. In this research, the effect of SRC kinase inhibition and PKR activation and inhibition on replication of coxsakievirus (CVB3), an entrovirus of the family picornaviridae – causative agents of fatal myocarditis, was studied. Vero and Hela cells were cultured and infected with CVB3 in ...

Classification of ordinal data is one of the most important tasks of relation learning. This paper introduces a new machine learning paradigm specifically intended for classification problems where the classes have a natural order. The technique reduces the problem of classifying ordered classes to the standard two-class problem. The introduced method is then mapped into support vector machines...