Susan Malaika

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Developers of relational database systems have made few concessions to the Web, preferring that Web applications access relational tables through SQL (or other programming interfaces) via intermediate gateway software. Result sets from database queries continue to be delivered to applications for further processing one row at a time. This article describes(More)
Most business data are stored in relational database systems, and SQL (Structured Query Language) is used for data retrieval and manipulation. With XML (Extensible Markup Language) rapidly becoming the de facto standard for retrieving and exchanging data, new functionality is expected from traditional databases. Existing SQL applications will evolve to(More)
Relational databases supported applications in a centralized environment in the 1960's and 1970's. They progressed to a client/server environment in the 1980's. The 1990's saw application servers with a multi-tiered architecture, in most cases supported by an RDBMS. Most recently we have seen the emergence of XML, XML storage in DBMS's, navigation within an(More)
SUMMARY. Platelet aggregation responses to adenosine diphosphate, adrenaline, collagen, arachidonic acid and ristocetin were measured in healthy subjects, predominantly blood donors residing in Riyadh, the capital city of Saudi Arabia. They were divided according to ethnic origin into Saudi Arabs n = 517, Westerners (Europeans and Americans) n = 93, South(More)
Platelet aggregation in response to ADP, adrenaline, collagen, arachidonic acid and ristocetin was measured in a large population of healthy Saudi males (n = 393) and females (n = 221) whose age ranged from 11-60 years. The number of observations ranged from 130 for one of the doses of ristocetin (1.0 g/l) to 554 for one of the doses of ADP (2.0 mol/l).(More)
Grid computing began with an emphasis on compute-intensive tasks like prime number finding, key cracking, and so on. These applications benefit from massive parallelism for their computation needs, but are not data intensive; the data that they operate on does not scale in proportion to the computation they perform. As such, they can be easily divided into(More)
K. H. Rose S. Malaika R. J. Schloss Although the Extensible Markup Language (XML) has gained in popularity and has resulted in the creation of powerful software for authoring, transforming, and querying XML-based business data, much information remains in non-XML form. In this paper we introduce an approach to virtualize data resources and thus enable(More)