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Combinatorial experimentation methodologies impact all areas of sensing materials research.
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Secondly, we describe the experimentation methodology.
We hope that the focus of this special issue on simulation and experimentation methodology will highlight the importance of these tools that are crucial in assessing the performance of our research but are sometimes not given the attention they deserve.
This paper will cover overall components of the operational experimentation methodology which is part of a long-term 12-244 month) software research and development (R&D) prototyping strategy to operationalize software through a customer driven partnership.
This tutorial paper introduces the reader to an implementable experimentation methodology, dubbed Adaptive Design Optimization, that can help scientists to conduct "smart" experiments that are maximally informative and highly efficient, which in turn should accelerate scientific discovery in psychology and beyond.
This work presents a knowledge-based approach for the selection of catalysts along with an experimental methodology to be used with high throughput and combinatorial catalytic experimentation.
However, until a suitable 3D ex-vivo physiologically relevant human muscle system is readily available for routine experimentation, our methodology and findings provide a baseline for future comparative studies.
We explain the methodology and the experimentation in the "Methodology and experimentation".
We describe its institutional experimentation and research methodology, including causal process tracing.
Here we employed a systems biology approach that combined extensive experimentation with in silico methodologies to chart the network of receptor-activated pathways that mediated the arrest of immature B cells in the G1 phase of the cell cycle.
This methodology was evaluated via preliminary experimentation, along with another validation methodology, to access whether design criteria have been met in order to initiate a clinical study of the technique.
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