Vibration Profiles of a Road Ambulance Using Equivalent Acceleration
Bibliographic record
Abstract
Neonatal infants in need of advanced care, often require transportation via road ambulance to neonatal intensive care units. The ambulance exposes these vulnerable infants to potentially harmful noise and vibration. To better understand the levels of vibration, this paper maps the magnitude of acceleration due to vibration throughout the cabin of an ambulance. By developing a better understanding of the distribution of the vibration magnitude, decisions can be made to determine the optimal placement of the neonatal patient transport system. Using an inertial measurement unit to measure the translational acceleration and angular rates of the vehicle during on-road testing, the equivalent acceleration at any point in the vehicle can be determined, assuming rigid body motion. It is observed that the distance away from the vehicle’s centre of gravity increases the amplitude of acceleration. For a relatively smooth section of road, it appears the placement of the neonatal transport system has minimal impact on the acceleration magnitude. This indicates that the frequency-dependant compliant motion of the transport system, in combination with the placement, likely determines vibration level.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 0.001 |
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".