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The color of the glow of the discharge plasma at electrodes made of various metals is associated with excitation certain energy levels of particles in the vapors of these metals. So, when using electrodes made of aluminum, steel and copper, we observed the glow of red, blue and green colors, respectively. The different colors of the discharge when changing the material of the electrodes are determined not by the spark or arc stages, but by bright spots on the electrodes, which are formed due to the explosive emission of electrons [Mesyats, G.A. Ecton mechanism of the vacuum arc cathode spot. IEEE transactions on plasma science, 1995, 23(6), pp. 879-883. (DOI: 10.1109/27.476469)]. These areas in the photographs have a bright white color (see, for example, the photographs in Figures 3, 6, 7). In spark or arc discharge, as well as in bright spots the electrodes are locally heated to a high temperature, which leads to the evaporation of the electrode material. High-temperature zones on the electrodes also supply micro- and nanoparticles into a discharge gap. However, emission of individual particles is determined by their temperature, it corresponds to the Planck radiation and is broadband. We note once again that in this work, to obtain metal vapors, as well as metal nano- and microparticles, a pulsed nanosecond discharge in a non-uniform electric field was used.
| 2 | 1 |
The paper provides interesting data concerning the colors of some specific kinds of plasma discharges in different gases and compares them to atmospheric discharges, considering the presence of metal vapors and nanoparticles coming from the electrodes.
| null | null |
nano12040652_perova
| 0 |
Several references was added.
| 2 | 1 |
The article may be of interest, but for researchers in the field of plasma physics and gas discharges.
| null | null |
nano12040652_perova
| 0 |
The main experiments were carried out with discharges in air, and the air pressure was chosen close to the pressures of high-altitude discharges. Other gases, such as argon, were chosen to better demonstrate the discoloration of the discharge.
| 2 | 1 |
2) The article is more descriptive in nature, there is no explanation of physical laws, but which are misleading readers.
| null | null |
nano12040652_perova
| 0 |
The manuscript has been revised. This judgment was removed from the text of the manuscript.
| 2 | 1 |
Reply: In our preliminary studies, as well as in the papers of other authors, it was found that during pulsed discharges of short duration, the electrode material determines the composition of the vapors that evaporate from the electrodes and diffuse into the gap, including due to shock waves and turbulence.
| null | null |
nano12040652_perova
| 0 |
Thanks for the advice. We plan to do this in our next work.
| 2 | 1 |
This is known from numerous studies of simpler and more understandable plasma objects such as glow discharge and arc.
| null | null |
nano12040652_perova
| 0 |
The second part of this analysis, titled: “Body composition assessment in Mexican children and adolescents. Part 2: Cross-validation of three bio-electrical impedance methods against dual X-ray absorptiometry for whole-body and regional body composition”, has already been accepted by Nutrients #1604578. The two analyses were conducted on the same children’s database and closely complement each other. As the accepted manuscript already includes the phrase ‘Part 2’ we prefer to keep ‘Part 1’ here ABSTRACT 2.
| 2 | 1 |
I take from the results that those sentences were describing the Bland-Altman procedure, and if so, adding some text along the lines of "In this procedure..." would be helpful.
| null | null |
nu14051073_makarova
| 0 |
Corrected, we adjusted this paragraph together with the next one to give a clearer explanation of the motivation of this study.
| 2 | 1 |
Part 2: Cross-validation of three bio-electrical impedance methods against dual X-ray absorptiometry for whole-body and regional body composition”, has already been accepted by Nutrients #1604578.
| null | null |
nu14051073_makarova
| 0 |
We have adjusted accordingly. We hope now we can give a clearer explanation about the motivation of this study.
| 2 | 1 |
Table 1; Body Composition Variables: The mean values do not all agree with those in supplementary Table 1.
| null | null |
nu14051073_makarova
| 0 |
Clarified in lines 164.
| 2 | 1 |
We have provided new evidence for the Mexican population that all the methods have utility for this purpose.
| null | null |
nu14051073_makarova
| 0 |
The data used was total body with head, as recommended for the ISCD when using DXA for body composition instead of for bone densitometry. We clarified and referenced this in the text, lines 204-208.
| 2 | 1 |
06720, Mexico City, Mexico E-mail: [email protected], [email protected] Dr. Márquez 162, Col. Doctores, C.P.
| null | null |
nu14051073_makarova
| 0 |
This was a typo, we corrected it. Line 260.
| 2 | 1 |
I am not familiar with the Bland-Altman method, so was unclear when I read the methods section whether the text in lines 204-207 was explaining the Bland-Altman method or describing a separate procedure.
| null | null |
nu14051073_makarova
| 0 |
We corrected (lines 287-288).
| 2 | 1 |
None of the methods are ideal – all are flawed (in comparison with a gold standard).
| null | null |
nu14051073_makarova
| 0 |
Indeed, it was like that. We have changed it to show only the data of the 288 subjects (without the 5 outliers).
| 2 | 1 |
None of the methods are ideal – all are flawed (in comparison with a gold standard).
| null | null |
nu14051073_makarova
| 0 |
This was because of the inclusion of the 5 outliers in table 1, which has been corrected.
| 2 | 1 |
Furthermore, some of the biases for individual methods can be resolved by the publication of method-specific reference data, whereby all data can be converted to method-specific z-scores.
| null | null |
nu14051073_makarova
| 0 |
We have
| 2 | 1 |
Please find our answers in the following lines.
| null | null |
nu14051073_makarova
| 0 |
Added, the analysis was for the total sample and by subgroups by age and sex, line 287 14.
| 2 | 1 |
Added, the analysis was for the total sample and by subgroups by age and sex, line 287 P12 L283: Is Table 4 necessary?
| null | null |
nu14051073_makarova
| 0 |
We have corrected as recommended. Table 4 sent to supplementary material as supplementary table 3.
| 2 | 1 |
P3 L125: DXA: Was the head ROI excluded from the analyses (as per recommendation by the ISCD)?
| null | null |
nu14051073_makarova
| 0 |
Changed as supplementary figure 3.
| 2 | 1 |
My comments may reflect my ignorance, but I offer them nonetheless as other readers may also be confused by some sections as I was.
| null | null |
nu14051073_makarova
| 0 |
Changed, line 19 INTRODUCTION 3.
| 2 | 1 |
We have changed it to show only the data of the 288 subjects (without the 5 outliers).
| null | null |
nu14051073_makarova
| 0 |
We have stated in the conclusion that while individual methods show bias relative to the 4-component reference, the high correlations indicate that all the methods perform well in ranking individual children as having high or low FFM and fat mass. This ranking is itself very valuable in routine clinical care, particularly for longitudinal assessment. We have provided new evidence for the Mexican population that all the methods have utility for this purpose. Furthermore, some of the biases for individual methods can be resolved by the publication of method-specific reference data, whereby all data can be converted to method-specific z-scores. Publishing such reference data is a further aim of our project.
| 2 | 1 |
It may be worth considering moving Table 4 to the supplementary file and bringing supplementary Table 1 into the main document.
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nu14051073_makarova
| 0 |
added
| 2 | 1 |
We have found your recommendations and commentaries of great value and have made appropriate changes.
| null | null |
nu14051073_makarova
| 0 |
Added to supplementary figure 1 and main figures 1 and 2 3.
| 2 | 1 |
)” Is there uncertainty of the number of participants or is this merely a typo?
| null | null |
nu14051073_makarova
| 0 |
Specified in limitations lines 993-997. Important to say is that ~89% of Mexican population is Hispanic. Only 6.6% belong to indigenous population and 5.9% to Afro-Mexican ethnic groups.
| 2 | 1 |
)” Is there uncertainty of the number of participants or is this merely a typo?
| null | null |
nu14051073_makarova
| 0 |
Corrected. In the previous version we put data of the whole sample of 293 subjects (including 5 outliers that should not been there). We have corrected the data, and now we only present data on the 288 subjects for both tables.
| 2 | 1 |
If not, DXA analysis should be redone and all relationships recalculated.
| null | null |
nu14051073_makarova
| 0 |
Added to table 1.
| 2 | 1 |
Concluding that methods differ is not surprising.
| null | null |
nu14051073_makarova
| 0 |
Thank you for your comment, we have tried to make the abstract less fragmented -Theoretical framework: it is very updated.
| 2 | 1 |
Journal of nutritional science and vitaminology, 61(Supplement), S66-S68.
| null | null |
nu14122489_perova
| 0 |
Thanks for your comments, we have found a more updated reference (reference 18), cited in lines 96-98 to explain more the importance of HRQoL.
| 2 | 1 |
Diet is only expected to influence 2 of these 5 dimensions.
| null | null |
nu14122489_perova
| 0 |
Line 501-503 We have added that we used a large sample size and that this was powerful enough to detect significant differences within sub-groups. We have also added a further description of our ability to capture results in a snapshot of time. I hope this clarifies this aspect.
| 2 | 1 |
Schools may be making the lunches to a budget rather than to a healthy diet criteria which is more expensive.
| null | null |
nu14122489_perova
| 0 |
Thank you for your comment, the updated figures and tables are now at the end of the paper.
| 2 | 1 |
The basic information is not there in the paper: “KIDSCREEN-10 (KS-10) is derived from the KIDSCREEN-27, and provides a single index of global QoL using ten items related to physical well-being, psychological well-being, autonomy and parent relation, social support and peers, and school environment” See how these researchers have described the KIDSCREEN-10 .
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nu14122489_perova
| 0 |
Thank you for your comment, we are glad that you think so
| 2 | 1 |
Effects of socioeconomic status on nutrition in Asia and future nutrition policy studies.
| null | null |
nu14122489_perova
| 0 |
Thank you for your comments about the instruments and the associated domains. We have updated these and aimed to explain them in more detail and with more clarity, sections 2.5, 2.6 and 2.7 lines 193-196, 215-225, 236-244.
| 2 | 1 |
The level of reporting of the core assessment instruments and their items, dimensions and subdomains needs to be enhanced.
| null | null |
nu14122489_perova
| 0 |
These issues have been addressed. The tables and figures are more clear and more detailed. We have provided are reasoning for the choices of statistical methods.
| 2 | 1 |
Have given it minor but it is needs more in the tables
| null | null |
nu14122489_perova
| 0 |
Thank you for this concern. We have aimed to explain that the KS-10 takes items from the longer KS versions but does not measure for each dimension as it is a general score. However, you have made a great point that some associations may be lost on the specific dimensions, we have tried to explain this reasoning such the burden of participation is lower to complete the KS-10 version lines 493-494 . We wanted to use the general score so that results can be compared with other studies and in other countries, which is one of the advantages of KS-10. Thank you for the insight, this has made us reflect on the KS-10 from the longer versions more.
| 2 | 1 |
2020 Jul;23(10):1754-1765. doi: See their Table 5.
| null | null |
nu14122489_perova
| 0 |
We have now recognised the impact and importance of income to a greater depth and are thankful for your comments on this matter. It is a shame that we cannot say anything about income in this article as this was not measured, only parental education, however this has been suggested for future studies lines 535-537 .
| 2 | 1 |
The authors may know what these are, but many reader will not.
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nu14122489_perova
| 0 |
We have now made a recommendation to investigate this in more depth and to compare diet quality between school time and home time. It is important to assess if the lunches are the same across students of different SES, some insight on this is given in lines 522 and 534 and that an issue could be the diet quality provided at home as school lunches may even-out diet-related inequalities. Thank you for the recommendation as this is an important aspect of adolescents’ diet.
| 2 | 1 |
I am a not European reviewer and so found the RADDS a rather restricted list without some meat.
| null | null |
nu14122489_perova
| 0 |
Thank you for your comments on this matter, we have edited this and hope it makes more sense now and that it does not make that assumption any longer, see lines 48-50.
| 2 | 1 |
The term is usually SES social economic status so it should be SES- F if it is social economic status – factors.
| null | null |
nu14122489_perova
| 0 |
We understand your concern, there are a lot of abbreviations, the abbreviations have been re-written in each section to help follow the flow, and we have now added an abbreviation and key word table before the introduction to provide additional help for readers, thank you for this comment lines 37-45.
| 2 | 1 |
The authors may know what these are, but many reader will not.
| null | null |
nu14122489_perova
| 0 |
Thank you for your great comment, we want the dimensions to be clear for the readers and this is an important observation. We have now edited how the SHEIA and RADDS variables are explained as well as the KS-10, sections 2.5 and 2.6 and we hope they are clearer to understand lines 193-196, 215-225, 236-244.
| 2 | 1 |
The American journal of clinical nutrition, 87(5), 1107-1117.
| null | null |
nu14122489_perova
| 0 |
Thank you for your comments, it is important to mention status and the term SES-F has now been incorporated. We have also now used the term parental education and in section 2.7 we have mentioned that this was used as a proxy for SES, lines 257-258. This is to make it clearer that we only had access to parental education and no other SES-Fs and we hope that this is clearer now, we have used parental education instead of SES in lines 21, 111-114 and 149-150. We have also emphasised the importance of parental income, lines 419-428, 503-506, 533-537 and 550-555.
| 2 | 1 |
Validity and responsiveness of the EQ-5D and the KIDSCREEN-10 in children with ADHD.
| null | null |
nu14122489_perova
| 0 |
Thank you, we agree that income as well as education plays a role in healthy food choices. However, the results in the article we are referring to looked at parental education, not income. As we did not have access to data in parental income, we were not able to include that variable in our paper
| 2 | 1 |
The first sentence assumes that poor diet is always associated with adolescents, this is incorrect, Better to say: Adolescents often do not consume a high-quality diet, concurrently their self- 13 reported mental health problems are increasing
| null | null |
nu14122489_perova
| 0 |
Although a higher education might lead to a higher income we unfortunately do not have the data to look at that but as previously mentioned we have now stressed the importance of parental income, lines 419-428, 503-506, 533-537 and 550-555, thank you for pointing this out.
| 2 | 1 |
Line 90 need to put in the full name Health Related Quality of Life (HRQoL).
| null | null |
nu14122489_perova
| 0 |
Thank you for your comment, income is most certainly important and we have now emphasised its importance in lines 419-428, 503-506, 533-537 and 550-555. We also have mentioned that parental education is being used as a proxy for SES lines 257-258 but we cannot infer anything about income as this was not measured, only parental education, not overall SES.
| 2 | 1 |
Focusing only on the global KQ-10 scores is hiding the subdomain differences to diet.
| null | null |
nu14122489_perova
| 0 |
Thank you for suggesting that we reference these two papers, Darmon and Drewnoski was very insightful and most certainly useful for this article, and we now make it clearer that education is a factor of SES and a proxy for income. Lines 419-428 offer an insight into income and affluence, however we have elaborated more on income in future perspectives 533-537 and in the conclusion, lines 550-555 as it may, as you say, play a significant role in these associations.
| 2 | 1 |
To assist the reader’s comprehension, explain the instruments more as you develop the paper.
| null | null |
nu14122489_perova
| 0 |
Thank you for your comment, we want to make the definition of this index as clear as possible and we have edited this in section 2.5.1 and included the sub-components, lines 193-196. We have also cited that reference in both sections 2.5.1 and 2.5.2 so that readers can find a more detailed description. We have also edited section 2.5.2, lines 215-225 so that the RADDS index is also easier to understand and have mentioned some of the sub-components.
| 2 | 1 |
Journal of nutritional science and vitaminology, 61(Supplement), S66-S68.
| null | null |
nu14122489_perova
| 0 |
Thanks for your observation, we have now tried to describe the KS-10 with more details, and to make it clearer, section 2.6, 236-244.
| 2 | 1 |
Validity and responsiveness of the EQ-5D and the KIDSCREEN-10 in children with ADHD.
| null | null |
nu14122489_perova
| 0 |
We are very pleased that you found this interesting!
| 2 | 1 |
Diet is not expected to have any influence of parent relations, social relations or peers but your study may find an influence on psychological well-being and even school environment.
| null | null |
nu14122489_perova
| 0 |
Thank you for this comment, the figure may have been minimised and red meat and poultry are now visible which may not have been before, apologies for this, also we have mentioned some of the sub-components in lines 215-225. Also the figures and tables became distorted when the manuscript was uploaded, we have fixed this.
| 2 | 1 |
Journal of nutritional science and vitaminology, 61(Supplement), S66-S68.
| null | null |
nu14122489_perova
| 0 |
Thank you for your comment. However, we think chi-squared is the appropriate statistical test as we are only comparing the proportions of distribution between categorical variables, we are not comparing the means between more than two groups which is what ANOVA is used for. We have not used chi square to assess analysis of variance, we have now made it clearer that frequency distribution is being assessed in the statistical methods section In terms of gender and education: the mean, standard deviation, df and sig t or F test need to be reported in the tables.
| 2 | 1 |
This is the core of your study: does diet have an influence on psychological wellbeing?
| null | null |
nu14122489_perova
| 0 |
Thanks for this comment, we have incorporated t and df scores, see tables 1 and 4.
| 2 | 1 |
If income is not important than the paper should be the on home education level and home diet not home SES and home diet.
| null | null |
nu14122489_perova
| 0 |
This has been put in the appendix, table A1, page 18, thanks for the suggestion The regression analyses “p” value is reported, but the beta values and significance must also be reported.
| 2 | 1 |
The first sentence assumes that poor diet is always associated with adolescents, this is incorrect, Better to say: Adolescents often do not consume a high-quality diet, concurrently their self- 13 reported mental health problems are increasing
| null | null |
nu14122489_perova
| 0 |
Great that you mentioned the beta values, the coefficients in the tables are in fact unstandardised beta coefficient values, this has been made clearer in the tables. The tables have diet (ind variable) on the left and the dependent variable KS-10 is on the top to indicate that interaction, then this is stratified by gender. I hope this makes more sense now.
| 2 | 1 |
The level of reporting of the core assessment instruments and their items, dimensions and subdomains needs to be enhanced.
| null | null |
nu14122489_perova
| 0 |
We had a problem with uploading the figures and they became distorted, thank you for your comments, we have fixed this and incorporated t and df values.
| 2 | 1 |
It needs minor revision in places but the results need more attention.
| null | null |
nu14122489_perova
| 0 |
We appreciate your concern regarding the KS-10 item domains. The reason we chose to use the general item value is that it is less burdensome than the longer versions and it is best practice to use the general score and not to directly try to analyse for each dimension. We are not sure that it is a fact that diet can not influence parent relations or social relations, if diet can help to improve quality of life then this may improve how an adolescent feels and their emotions which ultimately may have an influence on relations to others. However, we realise that we may miss out other findings and have mentioned this as a limitation, lines 496-497 and we appreciate your views on this matter. We have also incorporated more information about KS-10 reliability in measuring HRQoL, 236-244This is also a cross sectional study and so only associations can be established not causations.
| 2 | 1 |
Validity and responsiveness of the EQ-5D and the KIDSCREEN-10 in children with ADHD.
| null | null |
nu14122489_perova
| 0 |
Great comments, we have elaborated more on income, lines 419-428, 503-506, 533-537 and 550-555. We have also included a detailed section about the significance of school lunches and education in Sweden across different SES groups lines 528-532. In Sweden the school lunch is of rather high diet quality, reaching many of the national dietary recommendations and is provided free of charge regardless of income or SES. However, it would be insightful to a complete a deeper analysis investigating the differences of school quality across differing socio-demographic areas. Nonetheless, the problem related to diet quality may lie in the food provided at home as financial constraints are most likely to be of more significance, lines 528-534.
| 2 | 1 |
The important issue is in the method section the reader needs understand the dimensions and sub-dimension that make up within each survey.
| null | null |
nu14122489_perova
| 0 |
No comments to address (‘Yes’ ticked for all assessment criteria). We thank Reviewer 1 for their encouraging feedback.
| 2 | 1 |
Therefore, I suggest exploring, using the same methodology, the data regarding the associations of weight-biased language with eating disorders (the incidence of anorexia nervosa and bulimia) and mood disorders (the incidence of depression and anxiety, etc.).
| null | null |
obesities2010010_makarova
| 0 |
Thank you for your encouraging feedback on the potential reach of the findings. We have added at statement to this effect in the Discussion: Although based on a restricted area of exploration, Australian print news media only, our findings may have much broader significance for worldwide social trends and prompt the need for ongoing analysis of media reporting of obesity and weight-related public health policy. Future research could also extend our word embedding analysis to policy texts themselves, to draw direct correlations between media and policy data sources.
| 2 | 1 |
The manuscript by Grant el al., is an interesting study in which they exhaustively utilized a very large database generated for almost 3 decades to analyze the representation of obesity and public health policy and its association with gender, healthiness, social status, and negative stereotypes by using machine learning and computational language analysis approach.
| null | null |
obesities2010010_makarova
| 0 |
We agree that analysis of associations between weight-biased language in news media and the prevalence of eating disorders and other mental disorders correlated with weight stigma would be informative to the weight stigma literature, however our input data for the natural language processing (NLP) were textual data only and do not take into account other data modalities such as images and/or clinical data (floating numbers). In other words, NLP is a text-analytical tool to understand the nuances of human language about a certain topic (obesity in our case). This is done by capturing the contextual relationships between words and sentences in text corpus. Furthermore, this suggestion goes beyond the scope of the present paper, which focuses on associations between language biases tied to individual and structural dimensions of obesity and changes in public health policy rather than associations between language biases and changes in mental disorder prevalence. An alternative approach with the aid of NLP, would be to add mental disorders as a dimension in the analyses, but this would require a comprehensive literature review to make sure the mental disorder keywords, and their dichotomous mappings, were inclusive. Given the turnaround time for the revision (10 days), unfortunately we cannot extend the analysis in this way, but we absolutely agree with Reviewer 2 that this is an important and interesting direction for future research that can be achieved with further application of the techniques we have developed for this paper. We have acknowledged investigation of the association between news reporting on obesity and mental disorders as a fruitful direction for future research in the Discussion as follows: It is also important to examine relationships between news media reporting of obesity and health outcomes over time given, for example, medium to large meta-analytic associations between weight stigma and mental health disorders such as anxiety, depression, eating disorders and other psychopathological symptoms [new citation to be added and numbered accordingly – see below]. Emmer, C., Bosnjak, M., Mata, J. The association between weight stigma and mental health: A meta-analysis. Obesity Reviews 2020, 21:e12935. doi:10.1111/obr.12935 Comment 3:
| 2 | 1 |
The manuscript reports a study about weight-biased language in the Australian media across the last decades.
| null | null |
obesities2010010_makarova
| 0 |
We have provided new versions of the figure as a separate file to support editing/reproduction.
| 2 | 1 |
Is there any possible limit with this approach in the selection of the papers?
| null | null |
obesities2010010_makarova
| 0 |
The research questions have been moved to the Introduction.
| 2 | 1 |
Author Response Reviewer 2: General comments: The authors present a manuscript which evaluates weight-biased language across 30 years of Australian news reporting on obesity: Associations with public health policy.
| null | null |
obesities2010010_makarova
| 0 |
This text was intended as an overview of what follows in the Results. We have moved it to the beginning of the Results and rephrased it as follows: In this section, we show the associations between obesity-related terms and the gender, healthiness, social status, and stereotype dimensions. These associations are subsequently cross-matched with the obesity policy timeline in the Discussion, to help interpret the context of change in biases over time.
| 2 | 1 |
I do not have particular concerns about the paper.
| null | null |
obesities2010010_makarova
| 0 |
Figure 1 has been removed, along with the following associated text: Data extraction and analysis processes are illustrated in Figure 1.
| 2 | 1 |
The authors present a manuscript which evaluates weight-biased language across 30 years of Australian news reporting on obesity: Associations with public health policy.
| null | null |
obesities2010010_makarova
| 0 |
We have added the following text from this paper in the first paragraph of the discussion as it seems to fit best with our results: Such entrenched weight biases, persistent in the media, may lead to internalised or self-stigma among individuals with overweight and obesity that persist even after weight loss. A recent study [insert numbered citation] performed a semantic evaluation of body shapes in obesity surgery patients and overweight/obesity controls and found that both groups were more willing to accept positive adjectives as a match when BMI was low and negative adjectives as a match when BMI was high.
| 2 | 1 |
I think this aspect is interesting and linked to your results, showing a connection with clinical data.
| null | null |
obesities2010010_makarova
| 0 |
We have now added a Limitations and Future Research section to the Discussion to address this point and others: There are two limitations in our data curation process, the automated approach we used to check and select papers. Firstly, automatic classifiers of any sort can include some irrelevant or false positive articles. Due to the large amount of articles in our dataset, in Step 2 of our methodology, we developed a machine learning binary classifier – a support vector machine - with 87.56% accuracy to automatically identify relevant articles (accuracy is the number of correct predictions made, divided by the total number of predictions made, and then multiplied by 100 to convert it into a percentage). As a rule of thumb, accuracy of a predictive model that is above 80% is very commonly used to summarise the performance of that model. Still, it doesn’t exclude the possibility of irrelevant articles in our final dataset, but that possibility is less than 12.44 percent and this has to be considered against the benefit of scale and efficiency that this method allows. We also acknowledge that our analysis limited is in not being able to consider visual content visual content, images within articles (known as image framing), which have been shown to carry stigmatising elements [48]. This is something that could be added to the approach by including image classification along with additional measures. Furthermore, even though the Dow Jones is one the largest news databases, it might still miss some articles or news sources (although this doesn’t relate to the automatic approach as such). This applies to social media, even though this would not span as long a timeframe.
| 2 | 1 |
Is there any possible limit with this approach in the selection of the papers?
| null | null |
obesities2010010_makarova
| 0 |
No comments to address (‘Yes’ ticked for all assessment criteria). We thank Reviewer 1 for their encouraging feedback.
| 2 | 1 |
I would like the authors to emphasize the impact of the analyzed trends by means of mental disorders, at least to those with significant clinical and medical importance.
| null | null |
obesities2010010_perova
| 0 |
Thank you for your encouraging feedback on the potential reach of the findings. We have added at statement to this effect in the Discussion: Although based on a restricted area of exploration, Australian print news media only, our findings may have much broader significance for worldwide social trends and prompt the need for ongoing analysis of media reporting of obesity and weight-related public health policy. Future research could also extend our word embedding analysis to policy texts themselves, to draw direct correlations between media and policy data sources.
| 2 | 1 |
This is interesting topic that, although based on restricted area exploration, may have much broader significance in analyses that reveal worldwide social trends, as a whole.
| null | null |
obesities2010010_perova
| 0 |
We agree that analysis of associations between weight-biased language in news media and the prevalence of eating disorders and other mental disorders correlated with weight stigma would be informative to the weight stigma literature, however our input data for the natural language processing (NLP) were textual data only and do not take into account other data modalities such as images and/or clinical data (floating numbers). In other words, NLP is a text-analytical tool to understand the nuances of human language about a certain topic (obesity in our case). This is done by capturing the contextual relationships between words and sentences in text corpus. Furthermore, this suggestion goes beyond the scope of the present paper, which focuses on associations between language biases tied to individual and structural dimensions of obesity and changes in public health policy rather than associations between language biases and changes in mental disorder prevalence. An alternative approach with the aid of NLP, would be to add mental disorders as a dimension in the analyses, but this would require a comprehensive literature review to make sure the mental disorder keywords, and their dichotomous mappings, were inclusive. Given the turnaround time for the revision (10 days), unfortunately we cannot extend the analysis in this way, but we absolutely agree with Reviewer 2 that this is an important and interesting direction for future research that can be achieved with further application of the techniques we have developed for this paper. We have acknowledged investigation of the association between news reporting on obesity and mental disorders as a fruitful direction for future research in the Discussion as follows: It is also important to examine relationships between news media reporting of obesity and health outcomes over time given, for example, medium to large meta-analytic associations between weight stigma and mental health disorders such as anxiety, depression, eating disorders and other psychopathological symptoms [new citation to be added and numbered accordingly – see below]. Emmer, C., Bosnjak, M., Mata, J. The association between weight stigma and mental health: A meta-analysis. Obesity Reviews 2020, 21:e12935. doi:10.1111/obr.12935 Comment 3:
| 2 | 1 |
This study deals with question that needs important discussion for obesity-related public health policy development.
| null | null |
obesities2010010_perova
| 0 |
We have provided new versions of the figure as a separate file to support editing/reproduction.
| 2 | 1 |
The topic is interesting, and the manuscript is clear.
| null | null |
obesities2010010_perova
| 0 |
The research questions have been moved to the Introduction.
| 2 | 1 |
This is interesting topic that, although based on restricted area exploration, may have much broader significance in analyses that reveal worldwide social trends, as a whole.
| null | null |
obesities2010010_perova
| 0 |
This text was intended as an overview of what follows in the Results. We have moved it to the beginning of the Results and rephrased it as follows: In this section, we show the associations between obesity-related terms and the gender, healthiness, social status, and stereotype dimensions. These associations are subsequently cross-matched with the obesity policy timeline in the Discussion, to help interpret the context of change in biases over time.
| 2 | 1 |
I think this aspect is interesting and linked to your results, showing a connection with clinical data.
| null | null |
obesities2010010_perova
| 0 |
Figure 1 has been removed, along with the following associated text: Data extraction and analysis processes are illustrated in Figure 1.
| 2 | 1 |
I would like the authors to emphasize the impact of the analyzed trends by means of mental disorders, at least to those with significant clinical and medical importance.
| null | null |
obesities2010010_perova
| 0 |
We have added the following text from this paper in the first paragraph of the discussion as it seems to fit best with our results: Such entrenched weight biases, persistent in the media, may lead to internalised or self-stigma among individuals with overweight and obesity that persist even after weight loss. A recent study [insert numbered citation] performed a semantic evaluation of body shapes in obesity surgery patients and overweight/obesity controls and found that both groups were more willing to accept positive adjectives as a match when BMI was low and negative adjectives as a match when BMI was high.
| 2 | 1 |
This study deals with question that needs important discussion for obesity-related public health policy development.
| null | null |
obesities2010010_perova
| 0 |
We have now added a Limitations and Future Research section to the Discussion to address this point and others: There are two limitations in our data curation process, the automated approach we used to check and select papers. Firstly, automatic classifiers of any sort can include some irrelevant or false positive articles. Due to the large amount of articles in our dataset, in Step 2 of our methodology, we developed a machine learning binary classifier – a support vector machine - with 87.56% accuracy to automatically identify relevant articles (accuracy is the number of correct predictions made, divided by the total number of predictions made, and then multiplied by 100 to convert it into a percentage). As a rule of thumb, accuracy of a predictive model that is above 80% is very commonly used to summarise the performance of that model. Still, it doesn’t exclude the possibility of irrelevant articles in our final dataset, but that possibility is less than 12.44 percent and this has to be considered against the benefit of scale and efficiency that this method allows. We also acknowledge that our analysis limited is in not being able to consider visual content visual content, images within articles (known as image framing), which have been shown to carry stigmatising elements [48]. This is something that could be added to the approach by including image classification along with additional measures. Furthermore, even though the Dow Jones is one the largest news databases, it might still miss some articles or news sources (although this doesn’t relate to the automatic approach as such). This applies to social media, even though this would not span as long a timeframe.
| 2 | 1 |
I think this aspect is interesting and linked to your results, showing a connection with clinical data.
| null | null |
obesities2010010_perova
| 0 |
Figures have been revised with addition of arrows and text to represent the data. Since a large number of ILs were screened, susceptible check (SC) was used with a set of ILs and hence SC couldn’t be shown in all figures. However, SC ‘HR12’ for blast disease was shown in all blast screening figures 3 to 5. Similarly, in Fig 5, ‘TN1’ and ‘Improved Samba Mahsuri’ as susceptible and resistant checks respectively for BB in comparison with IL-19031 were shown. Authors once again thank the reviewer for pointing out the mistake in legends. Now, we have rephrased the legends clearly describing all the terms.
| 2 | 1 |
The last paragraph of results is about background selection.
| null | null |
plants11050622_makarova
| 0 |
Figure 1 legend has been revised with inclusion of the details of kharif and rabi seasons. kharif is the wet season with crop growing period from June to November and rabi is the dry season with crop growing period from December to May. We described kharif as wet season and rabi as dry season in the materials and methods section also.
| 2 | 1 |
The main issue with the ms is the quality of the figures: they are not clearly representing the data, arrows and text may help the reader, the controls are missing in most cases, and a general lack of precision is affecting them.
| null | null |
plants11050622_makarova
| 0 |
Since the number of ILs is large, presenting phenotypic data for each IL will result in increasing the size of the main tables, hence data was earlier presented in supplementary tables. As suggested by the reviewers, we have revised the tables and presented the mean phenotypic data of BB, blast and drought screening in the main tables for each IL in parenthesis. Column on ‘no. of genes/QTL’ has been removed as suggested. Entry nos have been replaced with IL No as suggested.
| 2 | 1 |
With minor grammatical revisions, the manuscript can be accepted as is.
| null | null |
plants11050622_makarova
| 0 |
The present work is not essentially a backcross breeding program aimed at development of near isogenic lines. However, Krishna Hamsa was the common background into which several genes/QTL were targeted from multiple donors and considering the morphological similarity between 27 ILs and Krishna Hamsa, background selection was done retrospectively. BGS validated our observations on morphological similarity. The same has been discussed in the 5th para under ‘discussion’. Also results on BGS have been presented under subsection 2.3 of results with data on polymorphic markers for BGS in supplementary table S8.
| 2 | 1 |
Indicate DFF = days to fifty percent flowering.
| null | null |
plants11050622_makarova
| 0 |
“()” have been removed while mentioned the numbers of the ILs and sentences have been revised appropriately in the manuscript.
| 2 | 1 |
Dear Editor, Thank you for inviting me to review this manuscript.
| null | null |
plants11050622_makarova
| 0 |
The above mentioned lines have been checked and found either spelling mistakes or revision of sentences. Accordingly, corrections were made.
| 2 | 1 |
How did you calculate those values on those comparison types?
| null | null |
plants11050622_makarova
| 0 |
BLB has been replaced with BB throughout the manuscript.
| 2 | 1 |
It is also acknowledged that this paper is probably the first of many papers to emerge from the study.
| null | null |
plants11050622_makarova
| 0 |
Legends of figures and tables and text in the results section have been revised with explanation of acronyms as suggested.
| 2 | 1 |
On Supplementary table S2, does significant mean p-value?
| null | null |
plants11050622_makarova
| 0 |
The sentence here is required to maintain flow of the subsequent content.
| 2 | 1 |
The last paragraph of results is about background selection.
| null | null |
plants11050622_makarova
| 0 |
Both lines explain our observations in different sets of ILs. Sentence at 351 explains susceptibility in ILs despite possessing the targeted gene/QTLs while sentence at 414 explains resistance in ILs despite the absence of targeted gene/QTLs.
| 2 | 1 |
of genes / QTLs, which is already represented in column 1) and add the most striking phenotypic data, when possible and relevant for discussion.
| null | null |
plants11050622_makarova
| 0 |
The 85 ILs is a sum total of nine ILs marker positive to blast- R genes, nine ILs harbouring QTLs for drought tolerance and 67 ILs marker positive to BB-R genes mentioned at the beginning of 4th paragraph of discussion. As suggested, we have added in brief about the same at line 414.
| 2 | 1 |
The last paragraph of results is about background selection.
| null | null |
plants11050622_makarova
| 0 |
Authors profusely thank the reviewer for the appreciation.
| 2 | 1 |
the 85 ILs presented at 414 seem to be a bit out of the blue: a short intro to where they are coming from would help the reader.
| null | null |
plants11050622_makarova
| 0 |
Yes, we agree that there were some typo and spelling mistakes in the manuscript. The manuscript has been thoroughly revised for the same.
| 2 | 1 |
On Supplementary table S2, does significant mean p-value?
| null | null |
plants11050622_makarova
| 0 |
Authors feel greatly encouraged and motivated with the reviewer’s comments.
| 2 | 1 |
For example on L203 “CD”, L211 “SES“, L228 “UBN“ and L332 “ICAR-IRRR”.
| null | null |
plants11050622_makarova
| 0 |
‘=261%’ has been corrected to ‘+261%’ and typo error of ‘linkes’ corrected to ‘linked’
| 2 | 1 |
Please re-organize the Supplementary table S5, I suggest use each ILs only appear one time and add one more column to show their PC groups.
| null | null |
plants11050622_makarova
| 0 |
Thank you for the positive comments.
| 2 | 1 |
Author Response Point-by-point response to the reviewer's comments are given below The ms is the result of an intensive and years-long work of breeding, that eventually pyramidized several resistance genes and QTLs for abiotic traits into an indian elite rice variety.
| null | null |
plants11050622_makarova
| 0 |
We appreciate the suggestions from the reviewer, which has resulted in improving the message of the manuscript.
| 2 | 1 |
L562: the section of statistical analysis should add more details.
| null | null |
plants11050622_makarova
| 0 |
Added references appropriately at two places as suggested by the reviewer.
| 2 | 1 |
L127: Please add the explanation of “boro season”.
| null | null |
plants11050622_makarova
| 0 |
Explanation for boro season has been added.
| 2 | 1 |
Table and main text are independent, so the authors have to describe the table more carefully.
| null | null |
plants11050622_makarova
| 0 |
Legends of the supplementary tables have been revised and inference of the table is given in foot note.
| 2 | 1 |
How did you calculate those values on those comparison types?
| null | null |
plants11050622_makarova
| 0 |
Authors once again thank the reviewer for the valuable suggestion. More details on the statistical analysis have been added as suggested.
| 2 | 1 |
On Supplementary table S3, similar questions as S2, please also explain.
| null | null |
plants11050622_makarova
| 0 |
Yes, significant means p-value. In the supplementary tables, expanded form of DFF is given as suggested. Treatments refers to introgression lines and check to control. For uniformity, we have changed the terminology to treatment instead of using IL or variety and check to control in all the revised supplementary tables and rephrased the legends accordingly.
| 2 | 1 |
Please add some gel pictures of the foreground selection markers you used in order to visualize the genotyping results and showed the polymorphism of these markers on gel.
| null | null |
plants11050622_makarova
| 0 |
Similar to Supplementary Table S2, S3 has been revised
| 2 | 1 |
Also, the legends are not clearly describing all the terms and should be revised.
| null | null |
plants11050622_makarova
| 0 |
CD is the critical difference at 1% and 5% level of significance (p-value) for testing of significant differences among the ILs. The details of CD calculation have been added in the materials and methods section as suggested.
| 2 | 1 |
The paper itself is well written, although 1) somewhat results are partially descriptive and partially inferential.
| null | null |
plants11050622_makarova
| 0 |
Supplementary table S5 is on CD and corrections have been addressed as suggested as at S. No 7. Supplementary table S6 have been modified by shifting data of BB and blast scores to main table. Each PC group is mentioned on top as sub heading at the start of each group. Each IL is presented only once in the entire table under separate PC groups.
| 2 | 1 |
Explaining briefly which and what are the Indian seasons during which experiments have been conducted would help clarity.
| null | null |
plants11050622_makarova
| 0 |
Full names of the abbreviations have been added as suggested.
| 2 | 1 |
Also, the legends are not clearly describing all the terms and should be revised.
| null | null |
plants11050622_makarova
| 0 |
Subtitle has been added as suggested.
| 2 | 1 |
Then the table can be more informative and ease to read.
| null | null |
plants11050622_makarova
| 0 |
A representative gel picture has been added as suggested.
| 2 | 1 |
On Supplementary table S3, similar questions as S2, please also explain.
| null | null |
plants11050622_makarova
| 0 |
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