Objective To evaluate the association of the discharge medicines review (DMR) community pharmacy service with hospital readmissions through linking National Health Service data sets. Design ...
Risk assessment is a critical step in the current approach to primary prevention of atherosclerotic cardiovascular disease. Knowledge of the 10-year risk for atherosclerotic cardiovascular disease ...
Abstract: Entity matching is an issue of interest in information integration and data cleaning. Since the representations of the same entity vary, it is often impossible to fully automate the entity ...
The Jakarta Persistence API (JPA) is a specification that defines a standardized framework for data persistence. Persistence is the fundamental mechanism for saving and retrieving data over time. In ...
AI agents used in e-commerce necessitates secure payment protocols capable of handling high-determinism user authorization, agent authentication, and non-repudiable accountability. The Agent Payments ...
State laws related to foreign contributions from individuals and other entities to candidates vary. In some states, the law does not contain additional restrictions beyond federal law. In others, the ...
The System.Data.SQLite DDEX provider does not support Visual Studio 2017, 2019 and 2022. This post describes how to work with SQLite and Entity Framework 6 in Visual Studio 2017/2019/2022, using the ...
Filby is like source control for reference data but at runtime. Like checking out a commit, your applications can use Filby to retrieve reference data for a given change set id. They can also inspect ...
The Jakarta Persistence API (JPA) is a Java specification that bridges the gap between relational databases and object-oriented programming. This two-part tutorial introduces JPA and explains how Java ...
Computational toxicology is central to the current transformation occurring in toxicology and chemical risk assessment. There is a need for more efficient use of existing data to characterize human ...
A critical challenge in neuromorphic computing is to present computationally efficient algorithms of learning. When implementing gradient-based learning, error ...
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