A Biphasic Multiscale Investigation of the Biomechanical Microenvironment of Articular Cartilage
Bibliographic record
Abstract
Osteoarthritis (OA) is a debilitating joint disease that involves the degeneration of articular cartilage.Although much research has been conducted at the macroscale level, the microscale level is poorly understood.This thesis investigated the micromechanical environment of cartilage cells that is thought to regulate cell metabolic activity.The cell microenvironment was studied at six distinct locations using a multiscale postprocessing approach.Microscale sub-models were developed with biphasic poroviscoelastic (BPVE) fibril-reinforced materials and tested under axial quasi-static indentation and physiological cyclic sliding.Elevated principal and shear strains, and decreased fluid pressurization were found with simulated cartilage degeneration.Maximum intracellular compressive (19%) and shear strain (15%) occurred in the superficial zone of OA chondrocytes under sliding loads.Different loading modes resulted in different strains and fluid pressures between cartilage grades that may affect cell metabolism, suggesting that use of non-physiological loads in studies of cartilage could result in erroneous conclusions.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".