Human health risk assessment of airborne trace elements for human receptors in the vicinity of the diamond cement factory, Volta Region, Ghana
Bibliographic record
Abstract
In this study, total suspended particulate matter (aerodynamic diameter range between 0.05 and 5 µm) levels in the vicinity of the Diamond Cement (DIACEM) Factory, Aflao, Ghana were measured and analyzed for As, Cr, Ni and Zn using multi-elemental technique of instrumental neutron-activation analysis.The primary objective of the study was to assess the human health risk of the trace metals exposure for children and adult population in four stratified zones in the study area.From the results, the mean dust level (538.92µg/m 3 ) around the cement facility deviated completely from regulatory specification (150 µg/m 3 ) indicating massive air pollution in the area.The mean concentration (mg/kg) of trace metals in the area were found in the order of Ni (44.38) >Zn (25.65) > Cr (15.26) >As (2.87).The human-risk assessment study indicated that non-carcinogenic risk was insignificant but the risk of cancer could be probable.Ingestion exposure was the highest level of risk found for both adults and children population in the area.The study encourages more work as it cautioned that the current results cannot symbolize a general portrait of the cement industry in Ghana, explaining that similar facilities may differ in their pollution cleaning strategies and environmental conditions.
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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) | 0.001 | 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".