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"Especially when it's quite easy to use a more accurate method with electronic devices".
We used a Delphi method with electronic questionnaires to bring together the opinion of Swiss experts on e-cigarettes.
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The energetic and structural characteristics of atomic ordering processes in Fe0.5(Al1−nXn)0.5 intermetallics have been qualitatively analyzed based on the statistico-thermodynamical theory of ordering by means of a quasi-chemical method combined with electronic theory in the pseudopotential approximation.
In addition, we present an implementation method with an electronic circuit design to create such an ion emission from a pulse-DC ioniser.
The use of multivariate analysis methods, together with electronic senses, has shown to be very powerful; however, due to the high complexity of food, the employment of just single sensor data is often insufficient.
We illustrate the effectiveness of the proposed chaotification method with numerical and electronic implementations.
Specifically, PROFESS 3.0 includes the Huang Carter (HC) KEDF [1], a density decomposition method with fixed localized electronic density [2], the Wang Govind Carter (WGC) decomposition KEDF [3], and the Enhanced von Weizsäcker (EvW -WGC KEvW -WGC
Data regarding patients' comorbidities were collected after discharge from both: a) structured baseline telephone patient interviews (N = 525) using the Katz [ 21] self-report method, and b) hospital medical record audits (N = 710) using the original CCI [ 19, 20] method with paper or electronic medical records (approximately 50% in each form).
This modification method of co-coating with electronic conductor C and sodium ionic conductivity Al2O3 provides an effective way to improve the electrochemical properties of NVPF and other cathode materials with low electron/ion conductivity for sodium/lithium ion batteries.
The effectiveness of proposed method is demonstrated by experiment with electronic vehicle.
Comparison of the electronic method with manual paper chart review demonstrated high agreement for MRSA (κ = 0.98).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com