Nonuniform activation and the mechanics of myocardial trabeculae with fast or slow myosin
Bibliographic record
Abstract
Left ventricular (LV) wall motion abnormalities reflect regional nonuniform contraction which may be arrhythmogenic. We studied sarcomere mechanics and force development (F) in uniform and nonuniform trabeculae using a model in which half of the muscle can be rendered weak by exposure to low [Ca2+]o. Stretch allowed the weak muscle segment to generate a force that was four-fold higher than force when the whole muscle was exposed to low [Ca2+]o. The sarcomere force-velocity relationships (FSVR) and the force-sarcomere-length relationships (FSLR) explained the force increase in the weak segment and the decrease of force in the strong segment such that both carried the same force. Correction for muscle stiffness converted the FSVR into a [Ca2+]o-independent linear FVRXB for "the single cross-bridge (XB)." Stretch increased XB force<10% above FXB-max, but recruited more XBs by feedback of V to the rate of XB, weakening (g=g0+g1V). The g1 here was indistinguishable from g1 of XBs in slow myosin of aged animals. The mechanics of nonuniform muscle can be explained by a linear FVRXB combined with the effect of V on the XB weakening rate.
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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) | 0.000 | 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".