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Foot-and-mouth disease (FMD) is a highly contagious disease of cloven-hoofed animals including cattle, pigs, sheep and many wildlife species. It can cause enormous economic losses when incursions occur into countries which are normally disease free. In addition, it has long-term effects within countries where the disease is endemic due to reduced animal(More)
BACKGROUND Foot and mouth disease is an economically important disease of cloven-hoofed animals including cattle, sheep and pigs. It is caused by a picornavirus, foot-and-mouth disease virus (FMDV), which has a positive sense RNA genome which, when introduced into cells, can initiate virus replication. PRINCIPAL FINDINGS A system has been developed to(More)
Brucellosis is endemic in bovines in Pakistan. The Brucella species and biovars involved, however, are unknown. The objectives of the present study were to isolate and characterize brucellae from seropositive milk samples, aborted fetuses, and vaginal swabs of cattle and buffaloes which had recently aborted. The seropositive milk samples, aborted fetuses,(More)
Rapid and accurate diagnosis of foot-and-mouth disease (FMD) and virus serotyping are of paramount importance for control of this disease in endemic areas where vaccination is practiced. Ideally this virus characterization should be achieved without the need for virus amplification in cell culture. Due to the heterogeneity of FMD viruses (FMDVs) in(More)
This paper proposes new approach based on the breakdown of metadata repository into taxonomy based metadata classifiers to classify the information. Due to the raising quality issues, it results in avoiding metadata from being processed correctly. The inconsistent metadata makes it difficult to locate relevant information. In the multitier architecture of(More)
The aim of this paper is to depict new approach called taxonomy based data marts which add a new layer for the categorization of the queries using data warehouse which is the database that contains data relevant to an organization information and respond quickly to multi dimensional analytical queries. The new algorithm is introduced here for more precise(More)
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