Airborne Polybrominated Diphenyl Ethers In A Computer Classroom Of\nCollege In Taiwan
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
This study characterized the airborne exposure of students to thirty\npolybrominated diphenyl ether congeners inside and outside a computer\nclassroom in a southern Taiwan college. Arithmetic mean values of total\nindoor and outdoor polybrominated diphenyl ether concentrations were\n125.0 pg/m3 (89.8 to 203.9 pg/m3) and 110.3 pg/m3 (83.5 to 157.0\npg/m3), respectively. Total indoor polybrominated diphenyl ether\nconcentrations were one order of magnitude lower than those detected in\nhomes in Birmingham, United Kingdom and in Ottawa, Canada but were\nseveral times higher than those measured in the ambient air in Ottawa,\nCanada and from the Bohai Sea to the Arctic. The five highest indoor\nconcentrations of polybrominated diphenyl ether congeners were\ndecabromodiphenyl ether (23.0 pg/m3), 4,4'-dibromodiphenyl ether (15.9\npg/m3), 2,2',3,4,4',5,5',6-octabromodiphenyl ether (10.6 pg/m3),\n2,4-dibromodiphenyl ether (10.3 pg/m3) and\n2,2',3,4,4',5',6-heptabromodiphenyl ether (10.0 pg/m3). Although indoor\nand outdoor total polybrominated diphenyl ether concentrations did not\nsignificantly differ, the indoor concentrations of 2,4-dibromodiphenyl\nether, 2,2',4-tribromodiphenyl ether, 2,4,4'-tribromodiphenyl ether,\n2,2',4,5'-tetrabromodiphenyl ether and 2,3',4',6-tetrabromodiphenyl\nether were significantly higher than their outdoor concentrations. This\nstudy suggests the following measures: 1) to increase the air exchange\nrate and open classroom doors and windows for several minutes before\nclasses to reduce indoor PBDE concentrations; 2) to reduce\npolybrominated diphenyl ether emissions from new devices, it's better\nto use computer-related products that meet the Restriction of Hazardous\nSubstances Directive adopted by the European Union.
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 | 0.000 |
| 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) | 0.006 | 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 it