Grundstückskaufverträge – Aufnahme und Gestaltung von Maklerklauseln
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.
Bibliographic record
Abstract
Source diverted blackwater (i.e., toilet wastewater with or without food waste residuals) represents an ideal waste stream for bioenergy recovery through anaerobic digestion. However, due to the high free ammonia concentration contained in blackwater collected from water conserving toilets (e.g., vacuum toilets), CH<sub>4</sub> recovery can be significantly reduced because methanogenesis is inhibited. Our current study evaluated the feasibility of enriching hydrogenotrophic methanogens (known to be more resistant than acetoclastic methanogens toward free ammonia inhibition) in anaerobic sludge with H<sub>2</sub> supplementation for blackwater treatment. Our results demonstrated that hydrogenotrophic methanogens can be enriched by supplementing anaerobic sludge with H<sub>2</sub> and CO<sub>2</sub> in a volume ratio of 4:1 for 3 months. The dominance of hydrogenotrophic methanogens after 3-month enrichment was confirmed with quantitative PCR studies. It was observed that the hydrogenotrophic methanogen dominant anaerobic sludge significantly alleviated blackwater free ammonia inhibition, and led to enhanced biochemical methane production (BMP) (e.g., from 30% to 53%). Our current study offers a new treatment option for anaerobic treatment of wastewater with high free ammonia content.
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 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 it