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Rapid progress has been made in quantifying the pattern of human LD and haplotypes defined by such common variants within and among populations.
The different approaches to set the parameters of cohesive elements' constitutive laws and Hashin's criteria and the different choices made in quantifying the dependence of failure criteria on the finite elements' average size have been taken into account.
Progress has been made in quantifying the statistical patterns that are relevant to early sensory systems, and in relating those patterns to the properties of early sensory neurons [41].
Progress, however, is being made in quantifying force in vivo.
Although some theoretical progress has been made in quantifying the contributions of different neurophysiological processes to the total metabolic expenditure of a single neuron [ 20], the metabolism of large-scale neural circuits has not been investigated quantitatively.
Besides accurate location of atomic column positions, much progress has also been made in quantifying crystal thickness down to the single-unit cell level, based on column intensity, often referred to as atom counting (Ortalan et al. 2010; Katz-Boon et al. 2013; Van Aert et al. 2013; De Backer et al. 2013; Martinez et al. 2014; Jones et al. 2014; Sang et al. 2014; De Backer et al. 2015).
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Significant advances have been made in identifying, quantifying and valuing multiple urban ecosystem services (UES), yet this knowledge remains poorly implemented in urban planning and management.
One website that has made progress in quantifying the seemingly abstract value of brands in social networks is Klout.
While other experimental techniques, such as micropillars and embedded force sensors have made significant contributions in quantifying cell-matrix interactions [2], [11], traction force microscopy remains the most widely used methods for measuring cellular traction forces [12] [16].
LC-MS analysis was made in order to quantify protein abundance in the samples 339 identified peptides are shown in the table together with their IDs, descriptions and spectral counts for each sample (sheet'spectral count').
Although significant progress has been made in the understanding and quantifying organismal characteristics at many level of organization (DNA, proteins, metabolic networks, cellular organization, organ functions, individual behavior) much confusion remains about how to accurately quantify organismal complexity.
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