Sentence examples for scientific methodological from inspiring English sources

The results of the research form a basis for general scientific, methodological, architectural, and planning principles of designing residential and public buildings.

Aiming to address these gaps, the International Energy Agency IEA Energygy in Buildings and Community (EBC) Programme Annex 66 has established a scientific methodological framework for occupant behavior research, including data collection, behavior model representation, modeling and evaluation approaches, and the integration of behavior modeling tools with building performance simulation programs.

For scientific methodological advice of Dr. Kurth, the Charité – Universitätsmedizin Berlin has received unrestricted funds from CoLucid and Allergan.

However, the practical implementation is more difficult, there is still no consensus met concerning the eligibility of scientific methodological approaches for producing sound figures for the FLB approach.

To offer a scientific methodological approach to the forensic interpretation and decision-making process, the case assessment and interpretation (CAI) model was developed in the late nineties by Cook et al. (1998b).

Scientific methodological and ecological advances, however, are rarely used to their full potential when it comes to evaluating the effectiveness of management activities, monitoring conservation progress and adapting management approaches based on the outcome of the performance assessment (Gardner 2010).

The basis of TID's study as a sustainable socio-economic system should be a general scientific methodology of sustainable development as well as scientific and theoretical and methodological foundations of stability of meso-level economic entities.

Scientific and methodological challenges make it hard to evaluate links between climate change and human conflict.

Indirect land use changes are recognised but not included due to current scientific and methodological deficiencies.

Several researchers have also been working on improving the scientific and methodological infrastructure to support SLRs in SE.

Although remote sensing data is widely available, scientific analysis, methodological development and uncertainty characterization is necessary before data can be transformed into information for improved decision making and better understanding of the dynamics of our environment.