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This suggested theoretical approach uses three velocity points at the end (brink) section and the continuity equation to obtain the EDR.
This approach uses three perspectives: it looks at the worlds and identities the interviewees construct for themselves; at their interpersonal communication; and at the way they frame their experience.
Specifically, our approach uses three data mining methods, namely attribute selection, decision tree learning, and association rule discovery, to extract previously unknown and meaningful patterns that connect specific types of foodborne diseases outbreaks with associated foods vehicles and consumption locations.
The approach uses three simple questions to push students to observe closely and build on what their classmates say: At the end of the discussion, ask the students in class if they can identify which painting best reflects characteristics of medieval art, and which early Renaissance.
Our approach uses three tools: a method to establish the exact release pattern from all possible loading sites inside a given hydrogel; a method to generate a large number of hydrogel structures to be tested numerically, and finally an optimization algorithm which leads to the selection of optimal hydrogel structures.
The PSM approach uses three steps to bridge abstraction levels: 1) identify a phenomenon of interest in a specific phase of a transition and on or across levels of the multi-level perspective, 2) specify and operationalize the phenomenon of interest, and 3) identify mechanisms which are (partial) explanations of the phenomenon of interest.
Similar(52)
The proposed approach uses two neural networks.
The new approach uses two different kinds of polymer additives, each added to a separate portion of the spray.
The simplest approach uses two sectors: a business sector and a household sector.
The proposed approach uses ten different evaluation criteria to decide the relevance of a particular feature.
The approach uses four small cameras, which might eventually be affixed on a soldier's helmet or on the bumper of a car.
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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