Concentration, Size Distribution and Electrostatic Charge of Laying Hen House Particulate Matter
Bibliographic record
Abstract
Published data on indoor air contaminants in livestock buildings in Saudi Arabia are relatively scarce. The main objective of this study was to determine the airborne concentrations of particles and electrostatic charge acquired by airborne particles in a multiple tier housing system (Manure Belt Cage System) under the climatic conditions of Saudi Arabia. In this house, the mean of total suspended particle (TSP) concentration was 0.99 mg/m3, the PM10 concentration (particulate matter with a diameter less than or equal to 10 µm) was 0.47 mg/m3, and the PM2.5 concentration (particulate matter with a diameter less than or equal to 2.5 µm) was 0.05 mg/m3. The particle size distribution results obtained from the layer house revealed that the GMD (geometric mean diameter) was 6.95 µm, based on the mass concentration of the particles. Alternatively, based on the number concentration of particles, the GMD was 0.82 µm. The cumulative percentage of mass concentration for the particles ranging from 0.3–10 ?m showed that the major fraction of the particles was larger than 2.5 ?m (>85%). The net charge-to-mass ratio (qN) of airborne particles was -0.86 mC/kg (s.d.=0.27). The measured qN value of airborne particles in the layer house varied due to the nature of the particles in addition to the environmental conditions and high concentration of airborne particles inside the poultry housing. In general, PM concentrations did not exceed the recommended values and those cited in literature.
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.
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".