Fuzzy realization in clinical test database system

Abstract The work examines the effectiveness of the replication mechanism of the X production company database. In order to extend the functionality of the computer database of the enterprise, a model of its resource flow was created and an intensional and extensional part was created for a test database based on real enterprise resources. The model has been simplified to 3-rd normal form. The implementation was done in the MySQL database system. Two different operating systems were selected for testing: Windows and Linux. The database management system (DBMS) is working under the GPL license. MySQL DBMS offers many security mechanisms, and to secure the database, system of users permissions to objects have been selected and also an encryption of access passwords for users and connections to servers was used. A replication engine based on the binary log and the model “main server and backup server” was used to create a copy of the enterprise data.

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Fear and anxiety: Theoretical distinction and clinical test

PsycEXTRA Dataset ◽

10.1037/e526132012-058 ◽

1996 ◽

Author(s):

Bruce N. Cuthbert ◽

Margaret M. Bradley ◽

Peter J. Lang

Keyword(s):

Clinical Test ◽

Fear And Anxiety

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Structured Data Entry for Reliable Acquisition of Pharmacokinetic Data

Methods of Information in Medicine ◽

10.1055/s-0038-1634673 ◽

1996 ◽

Vol 35 (03) ◽

pp. 261-264 ◽

Cited By ~ 3

Author(s):

T. Schromm ◽

T. Frankewitsch ◽

M. Giehl ◽

F. Keller ◽

D. Zellner

Keyword(s):

Text Processing ◽

Data Entry ◽

Processing System ◽

Database System ◽

Structured Data ◽

Pharmacokinetic Parameters ◽

Pharmacokinetic Data ◽

Probability Of Error ◽

Error Frequency ◽

Estimated Error

Abstract:A pharmacokinetic database was constructed that is as free of errors as possible. Pharmacokinetic parameters were derived from the literature using a text-processing system and a database system. A random data sample from each system was compared with the original literature. The estimated error frequencies using statistical methods differed significantly between the two systems. The estimated error frequency in the text-processing system was 7.2%, that in the database system 2.7%. Compared with the original values in the literature, the estimated probability of error for identical pharmacokinetic parameters recorded in both systems is 2.4% and is not significantly different from the error frequency in the database. Parallel data entry with a text-processing system and a database system is, therefore, not significantly better than structured data entry for reducing the error frequency.

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Source-Oriented Data Processing. The triumph of the micro over the macro?

History and Computing ◽

10.3366/hac.1996.8.3.160 ◽

1996 ◽

Vol 8 (3) ◽

pp. 160-168 ◽

Cited By ~ 1

Author(s):

Janet Burt ◽

Tom Beaumont James

Keyword(s):

Data Processing ◽

Relational Database ◽

Database System ◽

Relational Database System ◽

Historical Databases ◽

Oriented Approach

This article discusses the different approaches to the treatment of historical databases: the relational database system and κλειω, a source-oriented approach.

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