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This technology enables material decomposition, i.e. the analysis of different material components within the examined object.
Computed tomography enables material differentiation by analysing two X-ray spectra, termed dual-energy imaging, allowing the analysis of Compton and photoelectric effects [1, 2].
The Continuous Strength Method (CSM) is a deformation based design method that enables material strain hardening properties to be exploited, thus resulting in more accurate capacity predictions.
The continuous strength method (CSM) is a deformation-based structural design approach that enables material strain hardening properties to be exploited, thus resulting in more accurate and consistent capacity predictions.
Moreover, with nanostructural engineering, the local permittivity and permeability of the artificial material can be independently and nearly arbitrarily designed and this unprecedented control enables material constructs that can control the flow of light via what is known as "transformation optics".
This is the more so because this word has no connotation associated with it, which would prevent intrusion of irrational discussions in a purely scientific context).The most important prediction of this model, perhaps, is that it sees life as a process that enables material systems to manipulate, create and accumulate information.
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The high purity and relatively high yield of these proteins readily enables material-intensive experiments and provides flexibility for engineering specialized ubiquitin chain reagents, such as fluorescently labeled chains of discrete lengths.
Looking forward, this systematic approach enables materials-by-design of complex architectures to tackle demanding engineering challenges in the future.
Tallulah is not the only teenager to have taken her own life after reading enabling material online.
Dual-energy CT uses two X-ray spectra enabling material differentiation by analysing material-dependent photo-electric and Compton effects.
This means that a χDIA measurement, thereby enabling material identification, is possible for limitlessly small samples (Uyeda et al., 2010).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com