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Record W4233143147 · doi:10.5383/swes.7.02.005

Bioremediation- A Beneficial Use of Biotechnology and Allied Engineering Technologies in Oil Producing Regions

2015· article· en· W4233143147 on OpenAlex
Muḥammad Mukhtār, Larry Griffin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Sustainable Water and Environmental Systems · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsBioremediationEnvironmental scienceWaste managementPopulationBiotechnologySustenanceContaminationEngineeringBiologyEcologyEnvironmental health

Abstract

fetched live from OpenAlex

Microbial decomposition has played a major role in the sustenance of societies by decomposing various materials thus enhancing physical space on the earth. However, a continuous increase in world population now threatens the carrying capacity of our planet. Within a defined space on Earth, the ever increasing number of living organisms creates challenges for the management of waste materials generated. Identification and isolation of microbes capable of decomposing wastes and hazardous materials and discovery of processes to produce genetically engineered microorganisms (GEMS) through biotechnological processes give hope to making this world a better place to live by managing global wastes using tamed microorganisms. Scientists coin this process of utilizing GEMS with defined characteristics of decontaminating waste and harmful materials as bioremediation. In this study, we evaluate relative scientific data from bioremediation and oil spills in the Middle East. The US National Library of Medicine, National Institutes of Health, PubMed and PubMed Health databases were used for retrieving information relevant to application of bioremediation in oil spills and issues associated with oil contamination in peripheries of oil drilling areas. The size of these databases gradually increase, however, based on our access in the last week of October 2015, the word “bioremediation” search on the PubMed databases returned above 36,000 articles, and among these a combined search of “bioremediation AND Oil” returned 2,400 articles which shows that 7% of global research in the area of bioremediation is dedicated towards oil cleaning. A further refining of the search in reference to Middle East (bioremediation AND Oil AND Middle East) returns 41 articles thus revealing 1.7% of the research activities occur in the Middle East. According to the US Energy Information Administration, the Middle East harbors 49% reserves of crude oil, whereas, it shares a significantly weaker output as far as scientific contributions remain. Based on this information, we provide our analyses of the ongoing bioremediation in general with a particular focus on oil and propose strengthening of biotechnology programs in collaboration with the discipline of engineering to foster research in oil bioremediation in the Middle East

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.180
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it