Sentence examples for robust conceptual from inspiring English sources

A field of "religion and non-religion" is not perfect: it's like extending women's studies to "men and women's studies" – it is merely a next step towards the development of a more robust conceptual equivalent to gender.

Underpinning these technology-level features and functionalities are robust conceptual, logical, and theoretical reasoning and knowledge framework that drive sciences.

In this study, field monitoring and numerical modelling provide a robust conceptual model of these complex environments.

This study sought to develop a robust conceptual framework for effective management of the most important invasive alien plant (IAP) species.

This report presents the development of a robust conceptual model of normalization processes in the implementation and development of telemedicine services.

When that is achieved, the rewards to ecological science will come through more robust conceptual models that are better able to address the management issues and ever better-conceived research questions leading to an ever more incisive understanding.

Such neurons not only integrate feature traces into a coherent representation, but also control timing via Hebbian learning mechanisms (simultaneous firing of NMDA receptors) feeding an integrated trace to higher cortical areas, resulting in robust, multimodal conceptual representations (Friston, 2003).

To build a robust generic conceptual model of the mechanisms and processes that shape patient journeys towards end of life in long-standing life-limiting disease.

The model adds value to other participative initiatives by emphasising a 'meeting of equals' between researchers and practitioners, by building on learning from outside the health sector, and by having a robust historical, conceptual and philosophical foundation.

Its promotion represents a challenge that requires a multi-modal strategy using a clear, robust and simple conceptual framework.

The study demonstrates how combined interpretation of multiple methods at a range of scales produces robust three-dimensional conceptual models and a stronger basis for interpreting groundwater and surface water monitoring data.