Microbial Fuel Cells from Artichoke Waste: Preliminary Results
Bibliographic record
Abstract
Agricultural waste has increased rapidly in recent years due to increased food production, which has risen due to the increase in the world population.On the other hand, the high cost of energy consumption and scarcity of this sound in remote communities has caused the scientific community to look for new ways to sustain electricity.For this reason, the main objective of this research is to observe the potential of artichoke waste as fuel in single-chamber microbial fuel cells using carbon and zinc electrodes.An average maximum power density of 220.271 11.174 mW/cm 2 was achieved in an average current density of 5.841 0.285 A/cm 2 on the tenth day, with an average maximum voltage of 0.795 0.025 V and an average maximum electric current of 1.980 0.0.072mA.These electric flies were obtained on the tenth day, where the microbial fuel cells operated at a pH of 4.351 0.161 with an electrical conductivity of 127.844 8.512 mS/cm and an electrical resistance of 40.314 6.813 .The single-chamber microbial fuel cells with artichoke waste were connected in series, producing a 2.35 V voltage necessary to light an LED light.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".