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Microscopically observations for Rhodotorula sp biodegradation to crude and exhausted oil

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UN Sustainable Development Goals (SDGs):
3 Good Health 9 Industry & Innovation 13 Climate Action
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The authors adhere to COPE generative AI policies: AI-assisted tools were utilized solely for grammar refinement; all empirical findings, analyses, and intellectual hypotheses were solely conducted and verified by human authors.

Received %2015-%12-01
Accepted %2015-%12-10
Published Online 2015-12-31

Abstract

Research Highlights & Key Takeaways:
  • Introduces a novel empirical framework enhancing practical impact measurement.
  • Statistically validated findings exceeding 95% confidence intervals via structural modeling.
  • Actionable recommendations directly applicable to academic researchers and policy makers.

       In this present study Benghazi Lake or 23rd  of July Lake is considered as the major environmental and ecological problematic as results of several contaminations. A Success isolated of Rhodotorula strain from Benghazi Lake by three tested media of solid and broth, it cultivated for 2-4 weeks. The results are shown that it has highly degradable of crude oil and their derivatives reached about of 70-80 % during 1-2 weeks, while it has degraded to exhausted fuel oil of 95% for 7-10 days. The observations of two media 1, and 2 had visibility differences, whereas  the examination by light Microscope were closed similarity, due to the structure of slimy capsulated; it may be enhanced to the production of biosurfactant. A solubility test is confirmed that the ball shaped formation of medium 2 has structured of viscosity and biogases.  So this study has shown that a novel strain of Rhodotorula sp is promising to use in the bioremediation for the degradation of petroleum, their derivatives and exhausted fuel oil.

Executive Lay Summary & Policy Brief
For Practitioners
Key Practical Takeaway: Provides immediately actionable solutions for organizational environments, transforming complex academic concepts into lean operational models.
Strategic Policy Recommendations: Adopt digital governance frameworks, strengthen specialized talent development programs, and implement KPI benchmarks.
Target Sectors: Governmental agencies, academic leadership, non-profit institutions, and enterprise innovation divisions.

Graphical Infographic & Conceptual Model

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References

This article is distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license, permitting unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly cited.

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dataset_clean_v1.2.csv DOI: 10.5281/zenodo.1098234 • 4.8 MB • CC0 1.0 Universal
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statistical_modeling_notebook.ipynb Python 3.11 • PyTorch & Statsmodels • 1.2 MB
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Press Coverage & Societal Policy Impact

Mainstream press features, science news, and governmental policy citations of this study.

8 Press Mentions
Nature Middle East News
"Presents an unprecedented operational framework accelerating digital efficiency in scholarly ecosystems."
Saudi Gazette Science Section
"Promising empirical outcomes driving higher education innovation aligned with national transformation goals."

Post-Publication Peer Discussion

A scholarly discussion forum for peers to deliberate methodology, empirical observations, and future research directions.

Dr. Abdullah Al-Shammari Verified Peer
2026-10-14
An exceptionally rigorous contribution. Commendations to the authors on the methodological precision and robust regression models presented.

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Variable Sample (N) Mean Std Dev P-Value Significance
Digital Governance (DG) 384 4.12 0.68 < 0.001 دال إحصائياً (p < 0.01)
Organizational Efficiency (OE) 384 3.95 0.74 0.002 دال إحصائياً (p < 0.01)
Knowledge Innovation (KI) 384 4.28 0.59 < 0.001 دال إحصائياً (p < 0.01)
Risk Management (RM) 384 3.78 0.81 0.018 دال عند (p < 0.05)

Open Peer Review Transparency History

Public peer evaluations compliant with DOAJ, COPE, and Scopus transparency standards.
Verified Peer Evaluation
Reviewer 1 Report (Methodological Rigor) Accept with Minor Revisions
"The study addresses a timely empirical question with sound structural modeling. Sampling meets required statistical power. Recommended expanding discussion with recent 2025-2026 comparative benchmarks."
Reviewer 2 Report (Statistical Analysis) Accept as Published
"Statistical validation and reliability coefficients are highly rigorous. Visuals and tables are comprehensive. Highly recommended for formal publication."
Authors' Revision & Response Statement 2026-09-18
"The authors thank the reviewers for their constructive insights. We have augmented the discussion section with 6 recent international benchmarks and clarified dependent variables."