Impact of Different Pollutant Sources on Human Health Using Solid Aerosol’s Elemental Analysis
Bibliographic record
Abstract
Atomic absorption spectroscopy (AAS) was used in this study to find out the metal constituents and concentration for Seven (7) trace metals in the atmosphere of Faisalabad. The maximum elemental constituents and concentration for Zn, Cu, Cr, Ni, Pb, Mg and Cd in ppm were found to be Cadmium Cd(1) in amounts ranging between (2.596→1.95475) in Pool (5→3), Chromium Cr(2) in amounts ranging between (0.0145→0.01125) in Pool (2→3), Nickel Ni(3) in amounts ranging between (0.9925→0.35575) in Pool (5→3), Lead Pb(4) in amounts ranging between (1.33675→0.2632) in Pool (2→3), Zinc Zn(5) in amounts ranging between (2.515→1.38825) in Pool (4→5), Magnesium Mg(6) in amounts ranging between (1.22125→1.15875) in Pool (4→5), Calcium Ca(7) in amounts ranging between (11.46725→3.53875) in Pool (4→3) respectively. Following pool wise trend pattern of identified elements in solid aerosols is given in Table 1 & 2. The comparison of results reported in literature with the obtained results showed some differences in concentrations which could be explained on the basis of climatological and meteorological set up of different pools under investigations. Furthermore, the health hazards due to identified trace metals were also investigated and were found that the metals were highly toxic and generating serious health hazards.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".