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Record W2771495333 · doi:10.5539/mas.v11n12p102

Preparation of Activated Carbon from Acacia (Vachellia seyal) Tree Branches and Application to Treat Wastewater Containing Methylene Blue Dye

2017· article· en· W2771495333 on OpenAlex

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

VenueModern Applied Science · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality Monitoring and Analysis
Canadian institutionsnot available
FundersKing Fahd University of Petroleum and Minerals
KeywordsWastewaterActivated carbonMethylene bluePulp and paper industryPhosphoric acidNuclear chemistryChemistryIodine valueAcaciaEnvironmental scienceBotanyEnvironmental engineeringOrganic chemistryBiologyAdsorption

Abstract

fetched live from OpenAlex

Saudi Arabian desert tree Acacia (Vachellia Seyal) used to produce Activated Carbon (AC) by phosphoric acid mediated chemical activation at low temperature. Characterization of AC done based on proximate and detailed analysis including Moisture content, Total Ash content, pH value, Iodine number, Methylene blue number, pore volume and BET surface area. Results revealed that properties of produced activated carbon (PAC) are comparable to commercial activated carbon (CAC). Low ash content and hardness making it suitable for water and wastewater treatment. Cost of production found to be less than $0.5/kg. Both AC used to treat wastewater containing Methylene Blue (MB) dye. Initially the removal efficiency of CAC is higher than the PAC however, both AC reached to similar removal (95.3% for PAC and 98.2% for CAC) within one hour. Growing demand of AC in the country can be meet by producing low cost locally available waste materials Acacia seyal tree branches.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.019
GPT teacher head0.286
Teacher spread0.267 · 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