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This review focuses on the contribution of computational modelling as a framework for obtaining an integrated understanding of key processes, which include: nutrient transport and utilization, matrix formation, cell population dynamics, cell attachment and migration, and local cell cell interactions.
The ability of LiDAR to make a rapid and accurate assessment of key geomorphic processes over large spatial scales contributes to our understanding of key processes and, as demonstrated here, to the assessment of major geomorphological hazards such as extreme flood events.
The Interdisciplinary section provides a forum for multi-disciplinary projects that cover the expertise of experiments, numerical modelling, and theory to provide a better understanding of key processes.
This tests our understanding of key processes and mechanisms in the troposphere such as the long-range transport of dust and biomass burning from the source regions, photochemistry in the FT, and the budget of reactive species.
Such models can simulate the state of ecosystems without exploitation or other anthropogenic pressures, conditions often beyond our data records, so expanding our understanding of key processes [ 12].
Concept maps are potentially useful, because in constructing their maps students must link new ideas and information to what they already know; therefore, faculty members literally have a picture depicting students' understanding of key processes and players and how this may develop over time.
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Although much interest in this technology exists and its penetration of the market will probably increase significantly, there remains a lack of understanding of key process constraints such as membrane channel clogging, and of the science of membrane cleaning.
Thus it is important to extend our understanding of A. nidulans to facilitate analysis of key processes which underpin fungal pathogenicity and biotechnological applications.
Due to lack of understanding of several key processes, the uncertainty associated with management techniques such as numerical modelling is high.
Planning for resilience to the impacts of stressors within cities requires an evaluation of the vulnerable components of cities, an understanding of the key processes, procedures, and interactions that organize these components and develop the capacity to address various structuring of components and their interactions with the ultimate goal of achieving resilience.
An understanding of these key processes allows the prediction of the likely outcome of any silvicultural measure in terms of vitality, density, survival, growth and quality of regeneration at an appropriate time (Wagner et al. 2010).
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