Bibliographic record
Abstract
Eutrophication is attributed to high phosphorus concentrations in our ecosystem, modifying water and habitat quality. As an industry-academia collaboration program, this thesis assists the development of Virtual Engineers’ (VE) technology of a cost-effective, efficient, and affordable on-site Total Phosphorus (TP) removal unit. By investigating the chemical adsorption of a clay-zeolite media, the objective was to demonstrate TP removal capacity; primarily focusing on pellet media composition and formation, influent concentration, contact time to overall removal efficiency. All stages of optimization analyses were conducted in a scaled-down testing unit based on a ¾ inch pellet diameter construction, for a modest 45 minute detention time, and achieved an optimized removal of approximately 45%. The final pellet selected was the non-conditioned VE design, at maximum furnace exposure, scaled up to a 1 inch diameter. Results showed that an equilibrium removal of 72% is achieved after a 3 hour contact time; supporting the research of Sun (2010) on the Freundlich Adsorption Isotherm linearization of solute adsorption to equilibrium solvent concentration.
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.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".