Evaluation of the Nano-Confined Catalytic Oxidation Technology for Air Purification and Odor Reduction
Bibliographic record
Abstract
Air pollution has a significant impact of human health. As modern individuals spend most of the day in tightly insulated buildings, there is a strong need for strategies to improve the quality of indoor air. A number of air cleaning methods ranging from simple filtration to photonic technologies have been used in commercial and residential air purifiers. Recently, a novel technology called Nano-Confined Catalytic Oxidation (NCCO) has been developed. In this study, the potential of NCCO versus two other commonly-used air purifiers to reduce odor nuisances caused by ammonia, toluene and hydrogen sulfide is evaluated. Twenty volunteers are asked to evaluate the odor levels before and after air purification, in a safe, controlled environment. The changes in odorant concentrations are also measured. The findings suggest that the NCCO-based air purifier outperforms the two other common residential air purifiers.
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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".