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The most visionary companies not only explore new research methodologies, but also engage their customers' passion and expertise in the design and testing of the products and services they'll eventually be asked to buy.
However, in order to fully realize this capability, it is necessary not only to devise parallel methodologies, but also to develop numerical schemes for which the computational effort also scales with problem size.
The wide variations are due not only to different methodologies but also to the difficulties in predicting who will vote on June 25 in a special election that is expected to have a very low turnout.
The analytical methodology presented herein maintains the well-established assumptions of existing methodologies, but also introduces a number of refinements in order to achieve a more wide range of application without any major simplicity sacrifice.
This contribution therefore not only introduces both of these methodologies, but also presents how these fields can be linked in integrated product and process design for the identification of promising biofuel molecules of the future.
On the other hand, advancements of neuroimaging, optical and electron microscopy along with the use of genetically encoded fluorescent probes and robust statistical approaches will not only catalyze integrative methodologies but also will help better design the imaging genetics studies.
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Conducting an interpretive review of the literature on access to healthcare by vulnerable groups in the UK therefore required methodological innovation that would be alert to the issues raised by systematic review methodology but also move beyond both its limitations and those of other current interpretive methods.
This paper reports not only the theoretical development of the proposed methodology, but also the numerical and full-scale experimental verifications.
A comprehensive literature analysis was performed uncovering not only the state of the art in the field including employed methodology, but also research needs.
The results confirm not only the success of the methodology, but also corroborate the use of the MAC2 model as a tool for syllabus design.
This not only allowed us to gather unique information and to validate our methodology, but also provided us with the challenge of creating an extensive data collection methodology and process upon our return to ICRISAT from the field.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com