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You'd do better to find a way to pursue this worthy goal without violating your company's database policy and thus putting the company and you in legal peril.
Our Android implementation, for a particular scenario, was significantly slower at rule evaluation for a particular scenario (∼75 ms to enforce a policy, cf. ∼12.5 ms for the database policy engine).
Initially, the database policy engine was developed for managing particular environments, for instance, to control interactions between systems (and people) perhaps within a hospital, particular ward, or patient home.
We found for a particular scenario involving the database policy engine, that the overheads of policy enforcement were lost in the network variability when clients components connected through a particular wireless network; with a small statistically significant overhead (∼5 ms out of a ∼35 ms operation) for the same scenario where components connected through a particular Ethernet network.
The grey literature was searched using the NHS evidence database, policy institute websites and charity and healthcare websites.
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We used secondary sources of data for characterising the SP programs and documented discussions in textual notes (e.g. summary statistics from databases, policy and curriculum documents).
The workload characteristics include the number of reads, updates and the time of their arrival, whereas database replication policy includes characteristics like replication policy and number of replicas of the observed object.
Thus, the database disregarded policy discourses and the implementation of policies.
– Today's presentation of the DevInfo databases for Bosnia and Herzegovina to the decision makers in ministries and government agencies was an opportunity to present and improve the usage of the searchable on-line database in policy development and planning.
The idea of combining many smaller, site-level environmental datasets into a single database for policy or management purposes has existed for several decades (e.g., for water quality: STORET [ 17] and NWIS [ 18]).
Of course, they differ in their database update policy, in data quality standards and finally in the level of detail with which the database is endowed, which supports investigations on structural and functional information and on expression patterns to different extents.
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