MEASUREMENT OF LEAD CONCENTRATION IN THE BLOOD OF PUBLIC TRANSPORT DRIVERS IN BANDUNG REGENCY, WEST JAVA, INDONESIA
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
As industrial and transportation activities in Bandung Regency are growing rapidly, Indonesia could be at risk of increasing air pollution levels. One of the air pollutants that are very harmful to the body is lead (Pb) generated from industrial activities, mining, vehicle exhaust gas, and dust from the ground. Lead is a heavy metal that is very dangerous for the body because it is carcinogenic with its activity character as an inhibitor in cell metabolism. This study aimed to analyze the concentration of lead in the blood of public transport drivers who are active on the highway every day and are most at risk of being exposed to Pb. Measurement of Pb concentration was carried out using an Atomic Absorption Spectrophotometer (AAS). Blood samples were taken from public transport drivers at Soreang Terminal, Bandung Regency, West Java, Indonesia. The analysis results showed that the average blood lead content of public transport drivers was 1,032 mg/L. The lowest level was 0.889 mg/L, and the highest was 1,200 mg/L. This shows that the lead content in the blood of public transport drivers is already in excess levels (range numbers 0.800-1.200 mg/L) when compared with the threshold for lead in the blood based on the Regulation of the Ministry of Health of the Republic of Indonesia (0.10 - 0.25 mg/L) and the threshold value set by the World Health Organization, which is 0.4 mg/L.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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