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In that book I drew on theoretical and analytical advancements in several disciplines and paradigms, including cognitive psychology, cognitive anthropology, and distributed cognition, to offer a theoretical framework and an analytical framework for exploring language and conceptualizations.
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Application of the analytical and technological advancements described here is expected to further enhance our ability to discriminate perfect-match from mismatch hybridization events.
We have taken advantage of advancements in analytical chemistry and informatics tools to determine diabetes-associated patterns of >350 plasma metabolites encompassing carbohydrate, lipid, amino acid, purine, and organic acid classes.
The advancements in analytical methodology and high-throughput rates have led to the collection of large metabolic data sets.
Further advancements in analytical methods should elucidate the comprehensive picture of the function of this motif in gene expression regulation.
Along with advancements in analytical technology comes the progress in the characterization of IGF-1R structure [ 74].
Advancements in analytical technologies within the metabolomics field and the development of defined methodologies and tools have facilitated the generation of robust and reproducible data for systems biology studies.
Metabolomic data is one of the more relevant data types for this type of analysis as network reconstructions define the biochemical links between metabolites, and recent advancements in analytical technologies have allowed increasingly comprehensive intracellular and extracellular metabolite level measurements [ 20, 21].
Advancements in analytical methods such as gas chromatography-mass spectrometry (GCMS), proton transfer reaction mass spectrometry (PTR-MS), and selected ion flow tube mass spectrometry (SIFT-MS) have provided an opportunity to identify the volatile metabolites of living organisms in research laboratories.
In addition, advancement in analytical and synthetic methods enables us to better understand the structure and diversity of the degradation signal.
With the advancement of analytical techniques, big data empowers planners and planning decision-makers by helping them to better understand current situations and to predict future more precisely and accurately [36].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com