Effects of Renovation Work on Air Quality and Occupants Health in University Buildings
Bibliographic record
Abstract
Abstract This study aimed to prevent chemical air pollution and reduce its influence on occupants' health in a university building under renovation. Since starting the renovation work, the occupants' health status was monitored using questionnaires every summer and winter. According to a first questionnaire collected before the renovation, subjective symptoms were not observed. However, some occupants complained about odor after moving into their new rooms. Therefore, all interior materials used for the construction work were examined in small chambers to obtain their chemical emission characteristics. The assembled floor, which was a polyvinyl chloride floor sheet combined with a concrete slab by adhesive, was predicted to be the main source of odor in the renovated rooms. Two strategies were implemented individually in rooms to remove these odorous chemicals; a chemical filter in indoor air conditioning units and forced ventilation with hot‐humid outdoor air. The performance of each technique was validated by measuring the indoor concentration before and after operation. These results showed that both strategies had a significant effect on reducing volatile organic compounds (VOCs), in a practical way.
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 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".