Sentence examples for use of conceptual models from inspiring English sources
Whereas this paper focuses on conceptual model 2 that employs HVD modeling, Science & Decisions also proposes the use of conceptual models 1 and 3 under certain conditions.
The use of conceptual models to select the best ecological indicators is highly recommended.
The study focuses on the potential use of conceptual models of cultural competences in the nursing profession.
Barriers of lexicon among geoscientists and engineers impede the development and use of conceptual models for the coupled thermal-hydraulic-mechanical-chemical-biological (THMCB) processes in mudrock formations.
The language is aimed at supporting the assessment of a firm's internal control system through the use of conceptual models of internal controls.
For long term projections under the most pessimistic emission gas scenarios, the limits of transferability are generally not respected, which may hamper the use of conceptual models for hydrological projections in northern Tunisia.
The ease with which the knowledge is acquired and maintained using RDR, the use of a dynamic design ontology and the automatic generation of conceptual models using FCA allows for the continual evolution of the KBS in keeping with the notion that knowledge is continually evolving and 'made-up' to fit the situation.
The development of conceptual models using the Unified Modeling Language (UML) facilitates the representation of modeled concepts and allows software developers to directly reuse these concepts in the design of a software system.
It then describes a number of conceptual models used to test relationships between objective urban conditions and QOUL.
Among other applications, MMR can be used to enhance the creation of conceptual models and development of new instruments, to interpret the meaningfulness of outcomes in a clinical study from the patient perspective, and inform health care policy.
Information about the uncertainty related to the knowledge of that state (i.e., about the robustness of conceptual models used to study the problem and of data measured/assessed).
