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Idiom
Problem is thirty.
If a problem is 30, the problem is the person who sits 30 cm from the computer screen.
Exact(6)
The problem is relevant, for instance, in the context of filtering implementation in real world digital devices with finite precision.
The problem is relevant to the vibration of machine structures or mechanisms in which the excitation frequency, in the course of a cycle of operation for example, fluctuates about its average value.
The problem is relevant to the degree of confidence with which we claim that an interaction really occurs in physiological conditions, since there is a hierarchy (albeit not absolute) of reliability of the various methodologies.
Two major breast cancer trials have recently taken such a decision, and the problem is relevant for several ongoing trials.
From a self-determination theory perspective, providing an explanatory rationale for why solving the problem is relevant to students' current and future lives can serve the dual functions of helping students perceive value in the learning task (Brophy, 2008; Jang, 2008; Pintrich & Schunk, 1996; Reeve & Halusic, 2009) and increasing autonomy (Jang, 2008; Reeve, 2009; Su & Reeve, 2010).
State the problem first, and then explain why the problem is relevant and important for the people to which you will be submitting the research.
Similar(54)
In the context of genomic predictions, this problem is relevant when we consider whole-genome regression methods.
Obviously, the second problem is relevant as the capacity of the wireless link is limited by stringent power consumption constraints.
The second problem is relevant as the capacity of the wireless link is limited by stringent power consumption constraints imposed by the limited battery life of hearing aids.
The first problem is relevant as modern hearing aids usually contain multiple microphones, and the optimal choice for the signal to be transmitted is not obvious.
This problem is relevant for the inferences that stem from the data, given that individualistic or ecological fallacies may emerge if the dataset characteristics are not correctly interpreted in terms of representation, similarity or heterogeneity.
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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