X-ray Phase-Contrast Imaging and X-ray Absorption Fine Structure Analysis using Parametric X-ray Radiation Generated at LEBRA, Nihon University
Bibliographic record
Abstract
X-ray phase-contrast imaging and X-ray absorption analysis, including X-ray absorption fine structure (XAFS) analysis, were carried out using parametric X-ray radiation (PXR), which has unique characteristics such as monochromatic wavelength-tunable highly coherent X-ray radiation, generated at the Laboratory for Electron Beam Research and Application (LEBRA), Nihon University. Diffraction-enhanced imaging, a kind of phase-contrast imaging, was carried out using whole and sectioned teeth, a mouse kidney, and chicken and quail eggs. The obtained images showed some specific features that would be scarcely detected by other techniques. X-ray absorption edge analysis was applied to elemental analysis such as detecting arsenic in soil samples and strontium in fossil eggshells. A trial of XAFS was successfully carried out for metals and alloys. In this study, LEBRA-PXR was verified as a powerful and high ability X-ray source for X-ray phase-contrast imaging and absorption analysis, not only for hard tissues but also for soft tissues.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".