Alterations in Mechanical Behaviour of Articular Cartilage due to Changes in Depth Varying Material Properties--a Nonhomogeneous Poroelastic Model Study
Bibliographic record
Abstract
The depth dependence of the material properties is present in normal adult cartilage and is believed to have significant implications in its normal mechanical function. Cartilage pathology may alter the depth dependence, e.g. a reduced depth dependence of the fibril stiffness has been observed in osteoarthritic cartilage. The objective of the present study is to investigate the alterations in the mechanical response of articular cartilage when the depth dependence of the material properties is varied to simulate healthy and pathological situations. This study is made possible by a recently developed nonhomogeneous poroelastic model. Depth variations of the strains and stresses for individual material phases (collagen, proteoglycan and fluid) are obtained for cartilage disks in unconfined compression using the finite element method. The mean nominal axial strain considered is up to 15%, while the axial strain at the articular surface can reach 33%. This paper demonstrates how the mechanical behaviours of cartilage are affected by individual depth dependent cartilage properties, while such observations are not fully available in experimental investigations. This study suggests the possibility of diagnosing cartilage health by analysing its mechanical behaviours.
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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".