Determination of trace metals in hair samples of Iraqis people living in suburban and urban in Basrah governate ,southern of Iraq
Bibliographic record
Abstract
This study was carried out on human hair samples that were collected from different areas of Basrah Governorate in the year 2009, (67 people of both genders). In the year 2010 (17 people of both genders. The two groups were divided into seven subgroups according to their age. Hair was analyzed for Na, K, Ca, Mg, , Hg, Pb, Cd ,U, Co Cu, As, Fe, Al and Zn; using ICP/Ms instrumentation at maxxam analytical INC , Canada. The results showed levels of most essential and heavy metals that were tested in the year 2009,and the metals tested in the year 2010 were higher than international levels. A significant difference have been observed P< 0.05 between the same group according to the age criteria. Significant differences were observed in between subgroups of the year 2009 Vs. 2010. The maximum reading of Hg, Pb, U, Cu, Ca, Mg, As and Co was found in subgroup (2), Fe and Zn in subgroups 4, 5 and 6 respectively for 2009. Samples from 2010,showed the maximum reading of Hg, Pb, Cd, Cu, Zn, Ca, and Co found in subgroup(3), whereas Fe, Mg, Al, and As, levels were high levels in subgroups 1,2 and 4. The high level of heavy metals seen in this study, reveals that these areas where samples were collected from are highly contaminated with these toxic and polluted materials. This high level needs intensive care from the government to protect the environment from these toxic and carcinogenic substances.
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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 | 0.003 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".