Finite Element Dynamic Response Analysis of the Human Knee Joint
Bibliographic record
Abstract
Mechanical factors play an important role in the etiology of knee injuries and diseases such as osteoarthritis (OA). While performing daily, occupational, and sport activities, the joint is subjected to dynamic loads such as vibration and multiple impacts. According to an individual’s age, fitness, and weight, these activities may cause the joint load, stiffness, and damping to reach critical limits initiating or accelerating different knee disorders such as osteoarthritis [Wolfe et al., 1996]. Computational models of the knee have been developed over the past several decades. However, these models leave much to be desired, since they often over-simplify the geometry and material properties of the knee. Several two dimensional models have been created [Gill et al., 1996]. Three-dimensional analytical studies have become more common in recent years, and typically model the tibiofemoral joint [Abdel-Rahman et al., 1993; Blankevoort et al, 1991; Wisman et al., 1980]. These studies typically model only surfaces and neglect the effect of ligaments and menisci/cartilage.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".