Diurnal and seasonal influence on the indoor radon levels in dwellings of Sharjah Emirate as well its estimation of annual effective dose
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
Radon, a proven highly carcinogenic gas, has raised serious concerns, necessitating its measurement in residential areas. In the coastal city of Sharjah, United Arab Emirates (UAE), the first indoor radon concentration measurements were conducted. Following the Environmental Protection Agency (EPA) protocol, active radon detectors were employed in the living rooms of houses across the south-east region of the city. Measurements revealed that, the mean values during winter are of (39.6 ± 12.2) Bq/m3 (floor 1) and (35.7 ± 9.8) Bq/m3 (floor 2), while in summer, levels were slightly higher on floor 1 (55.8 ± 10.1) Bq/m3 compared to floor 2 (47.8 ± 12.6) Bq/m3. Ground floor analysis showed mean values of (57.0 ± 12) Bq/m3 in summer and (49.0 ± 16) Bq/m3 in winter. Higher summer levels were linked to climatic conditions and increased time spent indoors. The excess lifetime cancer risk for ground floor radon was estimated as 0.341% over 25 years. Annual dose equivalent was calculated using International Commission on Radiological Protection (ICRP) and United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR) models. The calculated results were found to range from 1.7 to 3.0 millisieverts (mSv), which is within permissible limits.
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) | 0.000 | 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 it