In this study, our aim is to improve the clarification of the swirl motion and air-fuel mixture formation for said Quasi MR-Process CC application in 2-valve diesel engines.
Previous study by Sutherland et al. (1994) also demonstrated that M. oleifera seed coagulant was able to significantly improve the clarification of highly turbid river water, showing a high reduction in its turbidity from 270 to 380 NTU to below 4 NTU.
This work benefitted greatly from a careful reading of the submitted manuscript by two anonymous reviewers, whose questions, comments, suggestions, and requests for clarification greatly improved the paper.
Reviewer #1: In this resubmission the authors have improved the paper considerably with new data and clarification of the number of independent replicates and explanation of statistical tests.
However, they acknowledged that these same phone-calls were important to allow clarifications of instructions and improved the safety of other patients.
In addition, functional proteomic approaches, can be employed to investigate protein-protein and protein-ligand interactions in order to: (i) improve the knowledge or the clarification of the mechanism of drug action, (ii) achieve relevant protein-identifications of disease-related sub-networks and (iii) reach the important step of innovation of novel drug targets.
Likewise, functional proteomic and phosphoproteomic approaches can be used to: (i) improve the knowledge or the clarification of the mechanism of a drug action for a specific disease, (ii) achieve relevant protein-identification of disease related to a specific signaling network and (iii) reach the important step of innovation of novel drug targets for specific pathologies[1].
The reviewers thought that the manuscript would be improved by clarification of the text in three areas (no additional experiments are needed).
This qualitative exploration was conducted to improve the validation, interpretation, and clarification of the survey's most relevant findings.
PtDAs also result in fewer people being undecided, in that more have clear treatment preference (RR 0.6; 95% CI 0.4 to 0.7; n = 10 studies); and, in the presence of explicit values clarification, improve the percentage of informed, values-based choices by 25% (RR 1.3; 95% CI 1.1 to 1.5; n = 8 studies) [ 14].
