Sentence examples for automated phase from inspiring English sources

However, cross-sectional TEM imaging and automated phase and orientation mapping showed distinct amorphous and nanocrystalline regions within the films, with a higher fraction of Ca atoms incorporated in the outer layer.

We demonstrate the application of shape matching algorithms to a variety of example problems, for topics including local and global structure identification and classification, automated phase diagram mapping, and the construction of spatial and temporal correlation functions.

Also, service compilation is a completely automated phase that barely influences the whole service creation process.

Therefore, human interaction with therapy was neither allowed nor necessary during the automated phase of our study, which allowed us to observe coherences and interactions.

On day 16, colony growth was evaluated by an automated phase contrast microscope equipped with Micro Suite Analysis Suite (Olympus CKX41, Center Valley, PA ).

The formulation, based on a fully automated phase-inversion process, is simple and results in nanoparticles solution presenting a mean diameter between 20 and 100 nm, depending on the quantity of excipients.

In particular, the proposed platform is designed to automate phases and activities of a Voluntary Travel Behaviour Change programme (VTBC), with a view to extending it to the large scale, reducing the resource commitment.

One promising line of research has been to automate phases of (Peirce's concept of) the scientific method, complete with techniques for hypothesis generation and making assessments of the costs and benefits of exploring hypotheses.

The analytic methods involved the enzymatic deconjugation of the phthalate metabolites from their glucuronidated form, automated solid-phase extraction, separation with high performance liquid chromatography, and detection by isotope-dilution tandem mass spectrometry (Calafat et al. 2004b; Kato et al. 2004; Silva et al. 2004b).

The immobilization technique was demonstrated to be compatible with recently developed automated solid phase carbohydrate synthesis methods, paving the way for the development of highly complex carbohydrate arrays.

In this work, we propose an extension of a Model Driven Engineering methodology (i.e. HIPA02) to help manage complexity, which includes an automated Design Space Exploration phase that uses Genetic Algorithms to find the best application-to-platform mapping.