Under the guidance of this conceptual framework, a field research was designed and applied in a case study approach.
By applying a comprehensive, multidisciplinary framework, the field of Nutritional Cognitive Neuroscience seeks to drive innovation in the design of nutritional interventions that promote healthy brain aging.
This framework combines field data, experimental results and various types of models, ranging from individual shellfish growth models to broad-scale ecosystem models.
A framework of field construction and in-situ test control using IC technology was presented and implemented in one engineering project.
While basic research work continues in order to provide the necessary theoretical framework, the field has reached a point where automated reasoning programs are being used by researchers to attack open questions in mathematics and logic, and to solve problems in engineering.
This comparison is conducted for the first time on the same footing using an in-house developed finite-element code which closely mimics the homogenization framework, displacement field approximation and unit cell discretization employed by the parametric FVDAM theory.
This paper describes the construction of a bio-economic optimisation framework linking field and catchment scale biophysical model results and farm economic analysis to solve for RPTs or ERTs assigned either regionally or within discrete basins.
The paper first presents an assessment of the framework in field tests, showing that it achieves room-level accuracies above 82.8% and 84.6% and coordinate-level accuracies above 2.29 m and 2.07 m, under the two situations, respectively.
Our framework combined field measurements (hemispherical photos) of canopy structure, radiative transfer modelling at leaf (PROSPECT) and canopy scale (PARAS), and assessments using satellite data (Landsat-7 Enhanced Thematic Mapper Plus, ETM +).
KRW designed the theoretical framework, performed field work, and data collection and analysis.
