Removal of Hydrogen Sulphide from Biogas by Activated Carbon Based on Borassus Aethiopum (Ivory Coast)
Bibliographic record
Abstract
Biogas is one of the most attractive renewable resources because of its ability to convert waste into energy.Biogas is composed mainly of CH4, CO2, and some trace gases such as hydrogen sulphide (H2S) which is a very toxic, deadly and corrosive gas.Therefore, raw biogas needs to be cleaned of hydrogen sulphide before it can be used in many applications.The overall objective of this work was to investigate the removal efficiency of hydrogen sulphide (H2S) by activated carbon based on borassus aethiopum.Borassus aethiopum, also known as roast tree, is an abundant agricultural resource in the rural areas of western, central and northern Côte d'Ivoire.Physico-chemical parameters such as iodine value, ash content, pH at zero load point, tapped density were determined to characterize the synthesized activated carbon.The tests for the elimination of H2S by adsorption on activated carbons were carried out at the BRIN FOUNDATION poultry farm, located in the village of YAOKOKOROKO, sub-prefecture of TABAGNE in the GONTOUGO region.This farm has a methaniser with a capacity of 15 m 3 for the treatment of the chicken Removal of …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".