Rice Quality: A Multidimensional Evaluation Integrating Ecology, Management and Genetic Regulation

Round 1

Reviewer 1 Report (Previous Reviewer 3)

Comments and Suggestions for Authors

Dear Authors,  

Thank you for the opportunity to review your revised manuscript, "Rice Quality: A Multidimensional Evaluation Integrating Ecology, Management and Genetic Regulation." This work addresses a topic of considerable significance in food science, given rice's role as a staple food for over half the global population and the escalating demands for quality attributes beyond basic caloric provision. Your synthesis of recent literature (2020–2024) across five quality dimensions—appearance, eating, processing, nutritional, and safety—provides a valuable framework for understanding contemporary challenges in rice quality evaluation. The inclusion of Table 4 cataloging quality-related genes represents a particularly useful resource for breeders and food scientists, and your quantification of climate scenario impacts on specific quality parameters (e.g., chalkiness +1.6–3.1% under RCP8.5; Lines 2125–2128) fills an important gap relative to earlier reviews.

From my modest opinion, your review makes a timely contribution by integrating climate change impacts with quality evaluation frameworks—a perspective increasingly vital as global warming alters grain-filling environments. The expansion of safety quality to include emerging detection technologies (e.g., hyperspectral imaging combined with machine learning for mycotoxin detection; Lines 1913–1915) reflects current innovations in food safety monitoring. Furthermore, your documentation of concrete effect sizes for genetic interventions (e.g., OsHsp40-1 reducing chalkiness by 2.8–3.2% under heat stress; Lines 2990–2992) provides actionable data for breeding programs.  

However, three scientific issues require resolution to ensure the manuscript accurately represents rice quality determination mechanisms and meets food science standards for evidence transparency.  

Please, I suggest the following corrections:

1. (Lines 2108–2109) Figure 4 presents temperature, nitrogen, water, and soil as independent drivers affecting quality traits. This additive-model representation directly contradicts your stated thesis of genetic × environment × management (G×E×M) interactions and established literature (e.g., Lu et al., 2024 demonstrates temperature × nitrogen interactions significantly alter chalkiness formation beyond additive predictions). Presenting factors as independent when they interact synergistically or antagonistically misrepresents rice quality determination mechanisms.  

Please, redesign Figure 4 to explicitly show at least two documented interaction effects with quantitative values, such as: i) "High temperature (≥35°C) × nitrogen >120 kg/ha increases chalkiness by +1.8% beyond additive prediction" ii) "Drought stress during grain filling × japonica genotype reduces protein content by 0.9% more than in indica" iii) Include directional indicators (e.g., "+/–" symbols) showing whether interactions amplify or diminish main effects.

2. (Lines 1715, 1766) Figure 2 presents nutrient concentrations (e.g., "GABA: 200–400 mg/100g in germ") without indicating whether ranges represent minimum–maximum values or interquartile ranges, and crucially without sample sizes (n = studies/cultivars). Figure 3 implies linear nutrient loss during milling despite established nonlinear decay kinetics (Kabir et al., 2024 documents protein loss of 18.3 ± 2.1% at 5% milling—SD essential for assessing biological variability).  

I suggest the following revision: i) Figure 2: Add footnotes specifying n (number of studies and cultivars) supporting each nutrient estimate. For example: "GABA: 200–400 mg/100g in germ (n = 5 studies, 12 cultivars)" ii) Figure 3: Replace linear interpolation with discrete data points showing actual measurements from source literature at key milling degrees (5%, 7%, 9%), with error bars representing standard deviation where available in source studies

Moreover, I suggest the statistical consultation: A statistician should verify appropriate nonlinear modeling for milling-degree relationships. The current linear representation misrepresents established food processing kinetics where micronutrient losses follow exponential decay patterns. This consultation is necessary to ensure figures accurately reflect biological reality rather than implying artificial linearity.  

3. (Lines 2985–2986) Table 3 states "Introduction of the OsHsp40-1 gene has been reported to reduce chalkiness by approximately 2.8%–3.2% under high-temperature conditions" (Lines 2990–2992) without specifying validation context. This effect derives from transgenic overexpression studies (n = 3) but lacks validation in natural allelic variation—critical distinction for breeding applicability. Similarly, Table 2's pesticide recommendations lack context regarding maximum residue limits (MRLs). 

In general I suggest the following desirable improvements:

1. (Lines 3515–3538) Your acknowledgment that "only 14 [of 92] studies employed randomised field trials" (Line 3517) is valuable but underutilized. Transform this observation into critical evaluation by explicitly qualifying conclusions: "Recommendations on nitrogen timing (Table 3) derive primarily from controlled-environment studies (n=7); field validation across ≥3 locations/seasons is lacking, limiting causal inference for commercial production systems." Similarly, reconcile contradictory drought findings (7 studies showing improved eating quality vs. 5 showing deterioration; Lines 3520–3522) by analyzing methodological differences (drought timing: booting vs. grain filling; genotype backgrounds).  
2. (Lines 64–76) Given the scope and current presentation, explicitly reframe as a narrative/integrative review rather than claiming systematic status. Remove PRISMA terminology and describe a transparent thematic synthesis approach. This honest positioning enhances credibility without diminishing contribution value—many high-impact food science reviews adopt this approach while maintaining rigorous evidence evaluation. 
3. (Lines 3805–3834) Replace generic AI statements ("breeding cycles can be shortened to 3–5 years") with specific, evidence-grounded priorities: "Priority 1: Multi-location validation of OsGAD3 overexpression effects on GABA content under combined drought + heat stress (≥35°C), given that 87% of current studies test single stressors." Address socioeconomic barriers to technology adoption (e.g., smartphone-based field management tools require low-bandwidth design for smallholder farmers).  

With regards,

Author Response

Please refer to the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report (Previous Reviewer 2)

Comments and Suggestions for Authors

The authors have addressed my comments. Therefore, it is suitable now for the journal's standards. 

Author Response

Please refer to the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report (New Reviewer)

Comments and Suggestions for Authors

Dear Authors,

Congratulations for the work, the topic is really interesting, great writting and relevant research. I have some comments to contribute with this work:

1) In the introduction, I suggest to insert a paragraph about the environment influences in the rice quality

2) On the page 876 - correct the word "Rive" to "Rice"

3) I suggest that figures 2, 3, and 4 be improved in quality, as they are slightly out of focus.

6) On the page 2111 the word "The" is duplicated

7) On the page 2349 there is "." duplicated

8) On the Results, I suggest adding an item about artificial intelligence in the rice quality, citing the works already developed.

9) I suggest to add more information on the Discussion section 

Author Response

Please refer to the attachment.

Author Response File: Author Response.pdf

Reviewer 4 Report (New Reviewer)

Comments and Suggestions for Authors

1. The article “Rice quality: A multidimensional evaluation integrating ecology, management and genetic regulation" explores how assessments of rice quality have evolved from a primary emphasis on appearance, eating and processing quality to include stronger requirements for nutritional value and safety.
2. The topic is original and relevant for this field of science. In rice production systems, product quality is influenced by the interrelationships between genetic traits, environmental factors, and field management methods. With the help of genetic improvements, biological breeding methods and precise field management, it is possible to achieve improvements in appearance, taste and nutritional qualities.
3. Research provides valuable information. It has been proven that the quality of rice is influenced by the interaction of three main factors: genetics, environment and production management. Genetic factors are integral determinants, which are primarily determined by varietal origin and directly depend on the contribution of parents on the paternal and maternal lines. Environmental factors and field management are external factors that are formed as a result of the interaction of natural conditions and human intervention. Changes in environmental conditions and management practices can lead to significant improvements in rice quality.
4. With regard to improving the methodology, the authors should consider the following issues.

The sentence on lines 2126-2129 (High temperatures have been reported to substantially increase chalkiness by approximately 1.6-3.1.%, elevate protein content by approximately 0.93T%-1.07T%, and raise gelatinization temperature and retrograde, while reducing total starch content by approximately 4.6T%-6.2%, collectively diminishing rice quality). The authors repeatedly mention in the article that an increase in protein content leads to a deterioration in the quality of cereals. However, in our studies, on the contrary, an increase in protein and a decrease in starch significantly improves the taste of rice porridge. In addition, the world's population is not getting enough protein from food, so increasing its content is an urgent problem. Alternative information on the role of protein should also be provided.

5. The conclusions should contain a brief and concentrated summary of the information received, in which it is necessary to show the specific most important numerical values from the main text.
6. There is only one graph in the article, and visual images for students predominate.
7. References to literary sources are quite appropriate.

Comments for author File: Comments.pdf

Author Response

Please refer to the attachment.

Author Response File: Author Response.pdf

This manuscript is a resubmission of an earlier submission. The following is a list of the peer review reports and author responses from that submission.

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The review manuscript entitled “Rice Quality: From Evaluation Methods and Environmental Impacts to Breeding Improvements” by Huang et al. discussed the specific performance and improvement measures of rice appearance quality, eating quality, processing quality, nutritional quality, and safety quality, and has scientific interest. The manuscript is well written; however, it requires some major improvements and revisions.

1. The title could be modified to represent the content and theme of the review.
2. In the title, it is mentioned “Breeding Improvements,” but not much information in the text.
3. The abstract needs to be modified and improved by following the general structure.
4. The introduction section required substantial improvement in terms of the logical flow of the concept, the connection of the ideas, and fluency.
5. It is recommended to modify lines 28 to 41, instead of repeating the same sentences in the abstract and introduction.
6. The methodology section (lines 65-76) can be modified and merged into the introduction section. In most of the reviews, this section is omitted.
7. Please italicize and properly format the gene names in the manuscript.
8. Please check the chemical formula of the chemical names.
9. The formatting for the section (4.2) in lines 311-330 needs to be corrected.
10. The title for Table 2 needs to be appropriately positioned.
11. Please check the manuscript for any typos like in line 544.
12. Although this journal welcomes free-format submissions, it is better to follow a specific format for consistency and soundness.

Overall, the manuscript required substantial improvement in terms of the logical flow of the concept, connection of ideas, and fluency, with some minor corrections in spelling.

Comments on the Quality of English Language

Minor spell-checking is required.

Reviewer 2 Report

Comments and Suggestions for Authors

The present study comprises a review article that deals with the quality control analysis of rice while presenting data on molecular sciences introduced in the field of characterizing rice species. From the first point of view, the review article is important, given that it addresses the food safety issues after rice consumption, especially when pesticides or fungicides have been used. 

The information given in this review can be considered full. However, there are several problems within the manuscript that must be revised.

Firstly, the authors must rewrite the abstract as it is given again in the first paragraph of the Introduction. Alternatively, the authors can revise the Introduction. In addition, the Introduction is somewhat short in length. Some information provided next in the text can be inserted there (i.e., the methods for quality control analysis of rice).

-Line 271. Aspergillus species need italics.

-Line 303. CO2 not properly written.

-Lines 312-329. Different lettering, revise accordingly.

-Same problem in lines 376-379.

-Regarding the pesticide or fungicide analyses, a table with the most common agrochemicals must be inserted along with the analytical methods used to identify such substances.

A major revision is suggested.

Comments on the Quality of English Language

The English language could be further improved to present more clearly the context of the review article.

Reviewer 3 Report

Comments and Suggestions for Authors

Dear authors,

Thank you for the opportunity to review your manuscript on rice quality. This topic is of significant importance given rice's role as a staple food for half the world's population and the increasing demands for higher quality standards beyond mere caloric provision. The manuscript addresses a timely subject with considerable potential impact, particularly as climate change and evolving consumer preferences reshape quality expectations.

Your work demonstrates commendable effort in compiling literature (2020-2024) on rice quality evaluation, environmental influences, and genetic improvements. The framework categorizing rice quality into five dimensions (appearance, eating, processing, nutritional, and safety quality) provides a useful conceptual structure. The inclusion of Table 3 cataloging quality-related genes is particularly valuable for researchers in the field.

However, the manuscript currently occupies an untenable middle ground: it claims to be a systematic review (Lines 64-76: "This review comprehensively and systematically studies...") but does not meet PRISMA 2020 standards required for systematic reviews in MDPI journal *Foods*. This fundamental methodological discrepancy cascades into other issues: the lack of critical synthesis, the descriptive rather than analytical discussion, and the unquantified figures. With appropriate revisions addressing this core issue, this manuscript could become an authoritative reference in rice quality research.

Major Comments

1. Critical Decision Point: Systematic vs. Narrative Review: The manuscript states it is a "comprehensive and systematic" review (Lines 64-76), yet fails to meet PRISMA 2020 requirements for systematic reviews. It cannot effectively function as both a systematic and narrative review. You must choose one of two paths:

Path 1: Commit to a Full PRISMA 2020 Systematic Review (Recommended only if feasible)
- Complete Methodological Overhaul: Register a protocol (e.g., PROSPERO), rewrite Methods using PRISMA items as subheadings.
- Add PRISMA Flow Diagram: Showing the study selection process with specific numbers
- Risk of Bias Assessment: Implement tools like Cochrane RoB2 or Newcastle-Ottawa Scale
- Evidence Certainty Evaluation: Use GRADE or similar approach to rate evidence strength
- Synthesis Methods: Specify how evidence was synthesized (e.g., meta-analysis, thematic synthesis).

Path 2: Re-frame as a Narrative/Integrative Review (More realistic given current scope)
- Remove "systematic" terminology: Change title and text to state this is a "narrative," "thematic," or "integrative" review
- Revise Methodology Section: Describe a comprehensive literature search strategy without claiming systematic methodology
- Strengthen Analytical Depth: Focus on critical synthesis rather than methodological rigor

My recommendation to analyze: Given the scope and current presentation, Path 2 (narrative review) is likely more appropriate. If you choose this path, please revise all references to "systematic" in the manuscript.

2. Introduction (Lines 27-41): The introduction largely repeats the abstract verbatim (lines 27-41) without establishing a clear knowledge gap or articulating the unique contribution of this review beyond existing literature. My suggestion of revision:
- Completely rewrite the introduction to establish context and significance
- Compare this review to 2-3 recent comprehensive reviews (e.g., Zhou et al., 2019; Custodio et al., 2019)
- Add a final paragraph clearly stating the review's specific objectives aligned with your chosen path

Examples for revision:
Replace lines 38-41 with: "While Zhou et al. (2019) reviewed traditional quality traits and Custodio et al. (2019) examined consumer perspectives, no recent review integrates evaluation methods with environmental modulation and breeding strategies under climate change. This review aims to (1) synthesize modern evaluation frameworks, (2) analyze genetic × environmental × management (G×E×M) interactions affecting rice quality, and (3) provide evidence-based strategies for quality improvement."

3. Materials and Methods (Lines 64-76); The methodology section is critically deficient for a systematic review and lacks transparency even for a narrative review. It fails to meet PRISMA 2020 requirements and does not provide sufficient detail for replication.

My suggestion for revision:
- If choosing Path 1 (Systematic Review):
  * Add subsections for: Protocol registration, Eligibility criteria (PICOS), Complete search strategy for one database, Selection process (with flow diagram), Data extraction, Risk of bias assessment, Synthesis methods
  * Include a PRISMA flow diagram as Figure 5
  * Example revision for lines 68-72: "We searched Web of Science, PubMed, X-MOL, MDPI, and SpringerLink (January 2020-May 2024) using the Boolean string: ('rice quality' OR 'grain quality') AND ('gene*' OR 'QTL' OR 'breeding' OR 'management' OR 'environment*'). Two independent reviewers screened titles/abstracts. Studies were included if they contained quantitative data on at least one quality parameter with sample size n≥30."

- If choosing Path 2 (Narrative Review):
  * Rewrite as "Literature Search Strategy" without "systematic" claims
  * Describe databases, keywords, date ranges, and thematic analysis process
  * Example revision: "A comprehensive literature search was conducted in Web of Science, PubMed, X-MOL, MDPI, and SpringerLink (January 2020-May 2024) using keywords 'rice quality,' 'influencing factors,' 'quality related genes,' and 'biological breeding improvement.' After screening 232 records, 91 were selected for thematic analysis focusing on evaluation methods, environmental impacts, and genetic improvements."

4. Results:

4.1. Figure 1: Rice Quality Evaluation Indicators (Line 93): The conceptual framework presents quality dimensions as discrete and independent, lacking evidence-based relationships between dimensions. My suggestion for revision:
- If Path 1: Transform into a forest plot or evidence map showing study counts supporting relationships between quality dimensions
- If Path 2: Redesign as a hierarchical framework showing:
  * Primary quality dimensions as major nodes
  * Secondary traits as sub-nodes
  * Correlation coefficients between related traits (e.g., "transparency and chalkiness: r≈-0.85 [Jin et al., 2023]")

4.2. Figure 2: Nutrient Composition of Various Parts of Rice (Line 229): The figure appears to be a purely schematic representation without quantitative data. My suggestion for revision:
- Replace with a composite figure showing:
  * Anatomical diagram of rice grain
  * Adjacent bar/box plots with mean nutrient concentrations ± SD
  * Quantitative labels (e.g., "γ-Oryzanol: 200-400 mg/100g in bran [Zhu et al., 2024]")
  * Study counts supporting each estimate (e.g., "n=7 studies")

4.3. Figure 3: Nutrient Values of Rice with Different Milling Degrees (Line 242): The figure likely presents nutrient retention as a simple linear decline, misrepresenting non-linear relationships documented in the text. My suggestion for revision:

- Create a line graph with "% Nutrient Retention (vs. Brown Rice)" on Y-axis and "Milling Degree (% weight removed)" on X-axis
- Plot distinct curves for key components showing differential decay rates
- Include confidence interval bands around each line
- Add specific implementation details with citations (e.g., "At 5% milling accuracy, protein content decreases by 18.3±2.1% [Kabir et al., 2024]")

4.4. Figure 4: The Influence of Different Environments on Rice Quality (Line 281): The figure presents environmental factors as independent influences without representing interaction effects. My suggestion for revision:
- Develop a directed acyclic graph (DAG) showing:
  * Primary environmental drivers affecting intermediate physiological processes
  * Quantitative effect sizes (e.g., "high temperature increased chalky grain rate by 1.6~3.1% [lines 298-300]")
  * "+/-" symbols for effect direction
  * Interaction terms between environmental factors

4.5. Table 2: Impact of Environmental Factors on Rice Quality (Lines 409-410): The "Improvement measures" column contains vague recommendations without specific implementation details. My suggestion for revision:
- For each environmental factor, provide specific, evidence-based recommendations:
  * Climate: Change "Introduction of high temperature tolerance genes" to "Introduction of OsHsp40-1 gene can reduce chalkiness by 2.8-3.2% under high temperature conditions [Lu et al., 2024]"
  * Fertilization: Change "Appropriate and timely application" to "Apply nitrogen fertilizer at heading stage (5-7 days before heading) at 120-150 kg/ha for optimal protein content (6.5-7.2%) [Ling et al., 2025]"
  * Soil: Add evidence ratings for each recommendation (e.g., "High certainty, n=5 studies")

4.6. Table 3: Identification of Rice Quality Related Genes (Lines 416-417): The table omits information about effect sizes, validation status, and evidence strength. My suggestion for revision:
- Add columns for:
  * Effect size (e.g., "Reduces chalkiness by 15-20%")
  * Study count (e.g., "n=4 studies")
  * Evidence certainty (e.g., "High/Moderate/Low")
  * Validation status (e.g., "Validated in field trials across 3 locations")
- Add references to specific studies from your review supporting each gene-trait association

5. Discussion: The discussion primarily summarizes findings without sufficient critical evaluation of methodological limitations or contradictions in the literature. My suggestion for revision: 
- Add dedicated subsections:
  * **"Certainty and Consistency of Evidence"**: Evaluate evidence strength across studies (e.g., "Of 91 studies, only 12 used randomized field trials, limiting causal inference")
  * **"Contradictory Findings in the Literature"**: Address discrepancies (e.g., "While 7 studies show improved eating quality with moderate drought stress, 5 studies demonstrate deterioration")
  * **"Limitations of Included Studies and Review Methods"**: Discuss methodological limitations in the evidence base and your review process
  * **"G×E×M Framework Integration"**: Explicitly show how genetic, environmental, and management factors interact to determine quality

6. Conclusions (Lines 483-542): The future research directions are overly broad and lack concrete, actionable proposals with implementation pathways. My suggestion for revision:
- Reframe conclusions to provide specific, evidence-based recommendations:
  * Instead of "construct a multi-factor dynamic simulation model," specify: "Develop a machine learning model incorporating temperature × nitrogen interactions to predict chalkiness formation, as supported by evidence from 8 high-quality studies"
  * Add 3-4 specific, prioritized recommendations:
    - "Priority should be given to multi-location field trials validating the effect of OsGAD3 overexpression on GABA content under drought stress"
    - "Implement genomic selection for chalkiness-related genes with marker-assisted backcrossing in major rice-growing regions"
    - "Develop smartphone apps for real-time field management recommendations based on weather forecasts"

Minor Comments

1. Terminology inconsistencies (Lines 318, 374): Standardize to "chalkiness percentage" throughout.

2. Section 4.4 clarification (Lines 354-366): Please, modify: Quantify "slight crack in the soil" as "crack width of 1-2 mm" based on Liu et al., 2025.

5. Safety quality expansion** (Lines 243-274): Include recent developments in mycotoxin detection technologies beyond HPLC-MS/MS.

6. Climate change impact quantification (Lines 297-309): Provide specific data on how RCP 4.5 and RCP 8.5 scenarios affect key quality parameters.

7. Statistical descriptors (Throughout): Add confidence intervals (e.g., "chalky grain rate reduced by 3.0±0.2%").

8. Gene nomenclature (Lines 416-434): Ensure consistent gene nomenclature (e.g., "LOC_Os05g06920" should be "Os05g06920").

With regards,

Comments on the Quality of English Language

Dear authors,

Thank you for the opportunity to review your manuscript. While the scientific content is valuable and addresses an important topic in food science, the English language quality requires significant improvement to meet the journal's publication standards. The manuscript contains numerous grammatical errors, awkward phrasing, inconsistent terminology, and structural issues that impede clarity and professional presentation.

Below are specific examples with line numbers and suggested revisions to guide your improvements:

1. Line 70: "The keywords for literature search are rice quality, influencing factors, quality related genes, and biological breeding improvement." Missing article, tense inconsistency, and incorrect verb form for methodology description. My suggestion is: "The keywords for the literature search were 'rice quality,' 'influencing factors,' 'quality-related genes,' and 'biological breeding improvement.'"
2. Line 71: "Firstly, mainly remove duplicate and non English literature, and" Grammatically incorrect passive construction and missing article. My suggestion is: "First, duplicate records and non-English literature were removed."
3. Line 72: "Then classify the literature according to the predetermined titles" Unclear terminology ("predetermined titles" is ambiguous) and incorrect verb tense. My suggested revision is: "Then, the literature was classified according to predetermined thematic categories."
4. Line 73: "with 2020-2024 being the main selection of literature" Awkward phrasing and non-standard academic expression. My suggested revision: "with primary focus on literature published between 2020 and 2024."
5. Line 74: "Out of 232 articles, 91 were selected as confirmed references for this review."
   Issues: Non-standard terminology ("confirmed references" is not conventional academic phrasing). My suggested revision: "Of the 232 articles identified, 91 met the inclusion criteria and were selected for this review."
6. Line 77-78: "At present, the evaluation of rice quality at home and abroad is more comprehen-" Sentence with formatting error and awkward phrasing ("at home and abroad"). My suggested revision: "Currently, rice quality evaluation has become more comprehensive both domestically and internationally."
7. Line 48: "Anthocyanins content... is weakly positively correlated with aflatoxin B1 level" Incorrect pluralization ("Anthocyanins content" should be "Anthocyanin content"), and phrasing implies causation where correlation is likely the appropriate interpretation.
   My suggested revision: "Anthocyanin content has been observed to correlate weakly with aflatoxin B1 levels, though the nature of this relationship requires further investigation."
8. Throughout manuscript: Inconsistent terminology for quality metrics. For example:
   • Lines 318, 374: "chalky grain rate," "chalkiness rate," and "chalkiness" used interchangeably. Lines 151-155: Various terms for amylose content measurements
     My suggested revision: Standardize to "chalkiness percentage" throughout and ensure consistent terminology for all quality metrics.
9. Lines 416-434: Gene nomenclature inconsistencies. Mixed use of gene naming conventions (e.g., "LOC_Os05g06920" should follow standard rice gene nomenclature). My suggested revision: Ensure consistent gene nomenclature following Rice Annotation Project Database standards (e.g., "Os05g06920" instead of "LOC_Os05g06920").

I strongly recommend that you engage a professional scientific editor with expertise in food science and agricultural research to thoroughly revise the manuscript. Pay particular attention to: A) Subject-verb agreement in methodology descriptions (use passive voice consistently for methods). B) Precise technical terminology with consistent usage throughout. C) Sentence structure simplification to enhance readability. D) Proper use of articles ("a," "an," "the") with technical terms. E) Correct tense usage (past tense for methods/results, present tense for established knowledge). F) Elimination of redundant phrases and wordy constructions.

With regards,