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The complexity of hardware design methodologies represents a significant difficulty for non-hardware focused scientists working on accelerating the simulation of complex bio-inspired applications.
The explosion of high-throughput platforms for protein-level analysis, primarily driven by mass spectrometry and array-based methodologies, represents a transition to an exponential phase in oncoproteomics.
Increased attention to cancer cluster methodologies represents a significant advancement in its own right; however, published recommendations for method selection vary, and the need for extensive systematic comparisons of different approaches remains (Jacquez 2004; Wartenberg 1995; Wartenberg and Greenberg 1993).
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While these methodologies represent a significant advance in resequencing throughput, they do not provide the ability to target sequencing to specific disease-linked loci.
This methodology represents a substantial step forward in the approach for developing representative PM2.5 concentration datasets to correlate with inpatient hospitalizations and emergency room visits data for asthma and inpatient hospitalizations for myocardial infarction (MI) and heart failure (HF) using case-crossover analysis.
This methodology represents a first step in analyzing disaster response within days of a disaster.
Conclusions: This methodology represents a promising approach for retrospective data analysis.
The proposed design methodology represents a new approach to optimize the propeller hull system simultaneously.
This methodology represents a novel condition monitoring approach for the detection of chemical changes that are otherwise difficult to analyze.
This methodology represents a significant improvement over penetrometer methods that only use single-value surface breaking point information.
The proposed methodology represents a first step towards a tool for quick decision making during salvage operations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com