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So far there is no general agreement on the optimal instruments for evaluating recovery and outcome following ambulatory surgery [ 10, 16].
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Development of an optimal instrument for studying end-of-life care continues to be a work in progress [ 53, 54].
Then we propose a convex optimization approach for learning the optimal instruments.
However, D'Haens et al notes that there has been "considerable heterogeneity and confusion regarding the optimal instruments (activity indices) and end points for assessing the efficacy of medical therapies for UC" and that "an 'optimal' scoring index for UC is still to be developed" [ 9].
The challenge for investigators is ensuring that optimal instruments are selected.
Our summit of cities and local governments in Paris at the Hôtel de Ville will be an opportunity for local leaders to strengthen their commitments, share experiences, learn from each other and deliver optimal instruments to reduce the carbon footprint on urban areas, and allow, to the benefit of all, a healthier, more sustainable and more prosperous way of living.
The motivation of this work is to introduce these novel human-portable instruments by discussing the fundamental theory of their operation, investigating and analyzing the principal considerations for optimal instrument design, and evaluating the capability of each of the four fabricated spectrometers to meet the application needs.
Application results of the methodology to the optimal selection of instruments for networks of incremental size are provided.
Thus, we searched for a self-report method that we could validate for this purpose and opted for the Basel Assessment of Adherence to Immunosuppressive Medications Scale (BAASIS®) prompted by a review published by Dobbels et al. This review favored the BAASIS® as one of the most optimal self-report instruments for measuring NA in transplantation [ 14].
In doing so, our aim was to inform future researchers about differences in reliability and to draw attention to the importance of comparing the reliability of different recall periods, so that researchers may develop optimal self-report instruments for assessing HIV risk behaviors.
Findings illuminate the hypothesis-generating power of ESEM and suggest that it might not be optimal for instruments designed to assess a predominant general factor underlying the data.
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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