Design and performance of thin cylindrical diffusers created in Ge-doped multimode optical fibers
Bibliographic record
Abstract
Cylindrical fiber diffusers have become common tools for various medical therapies. However, their large outer diameters and short lengths restrict their clinical application in some newly developed light therapies. Here, a 250-microm outer-diameter diffuser with an active length that exceeds 5 cm is presented. Diffusers are created in photosensitive optical fibers with outer cladding diameters of 140 microm by use of a structured beam from an excimer laser. Predetermined emission profiles can be achieved. Photometric characteristics, including longitudinal, polar, and azimuthal emission diagrams, were determined by use of a goniometer to assess the light-emission performance of the diffuser. Longitudinal isotropy of better than +/- 10% was achieved. Polar and azimuthal emissions were within +/- 15% of those of an ideal linear Lambertian emitter. Polar uniformity could be improved by an insignificant increase in the outer diameter by use of a diffusing recoating compound. The residual leakage of light at the distal end of the diffuser can be as little as 1%. Other physical parameters tested include minimal bending radius after recoating (< 5 mm) and maximum power handling (> 1.0W cm(-1)). All materials employed were biocompatible.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".