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An accurate description of the measurements equation is reported in the "Methods" section, along with a detailed description of correction and conversion factors.
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Table 4 Description of NTPT correction criteria according to writing process NTPT correction criteria Indicators by process Score Planning Narrative elements** 1 point per element present in the text: introduction of subject matter, characters, ambiance, problem or purpose, action, denouement and emotions; (range=0 7).
The first part of the second section of this paper is dedicated to the description of this correction.
Chart 1: Description of NTPT correction criteria according to writing process Source: Adaptation of the criteria proposed by Miranda, Soriano and Baixauli (2011)* and Costa and Boruchovitchb (2009)**.
Typically most of the reports include a description of the correction of the bug, and a link to the version of the software where the bug has been corrected, and even the scenario of reproducing the reported bug.
See methods for description of mass correction.
One of the reviewers has just two minor comments for your consideration: First, a description of the correction for sampling bias could be given briefly in the Results, as this is just a scaling of the ensemble decoding accuracy by the performance of the optimized population, and it took me a while to find it in the Methods.
Detailed descriptions of the correction model can be found in the ESA technical report available at https://earth.esa.int/documents/10174/1583357/Preliminary_Swarm_MagL_Data_ReleaseNotes and in Tøffner-Clausen et al.
The descriptions of shear correction factors developed herein apply only for rectangular plates of simply supported boundary condition, and are therefore not applicable for thick rectangular plates of clamped and/or free edges.
Formal descriptions and proofs of correction of the techniques and tools used are presented in [2] and the theories and mathematical models in [3].
Algorithm 1 summarises the order and brief description of the error correction techniques, which is also visualised in Fig. 5. Fig. 5 Distributed combination of the employed energy-efficient packet loss mitigation techniques.
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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