Dynamic photophysical processes in laser irradiated human cortical skull bone
Bibliographic record
Abstract
Modulated luminescence (LUM) technique was applied to analyze photophysical processes in the cortical layer of human skull bones. The theoretical interpretation of the results was based on the optical excitation and decay rate equations of the fluorophore and on the molecular interaction parameter with the photon field density in the matrix of the bone. Using comparisons of the theory with the frequency response of dental LUM it was concluded that the optically active molecular species (fluorophore) in the bones is hydroxyapatite. An effective relaxation lifetime of skull cortical bone was derived theoretically and was found to depend on the intrinsic fluorophore decay lifetime, on the photon field density, and on the thickness of the bone. The experimentally measured dependencies were in excellent agreement with the theoretical model. The theory was able to yield measurements of the optical scattering coefficient, optical absorption coefficient, and mean coupling coefficient. These results show that the quantitative LUM can be used as a sensitive method to measure optical properties of the active fluorophore in cortical skull bones and the optical-field-induced molecular interaction parameter. When calibrated vs. laser intensity, the modulated luminescence can also be used to measure human skull thickness. These traits can be applied to monitor the bone mineral density (BMD) and, ultimately can be used as potential markers of bone health or disease, such as osteoporosis or bone cancer.
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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 | 0.000 |
| 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".