Measurement and calculation of the intramyocardial stress
Bibliographic record
Abstract
By using a servo-nulling mechanism and coated glass micropipettes (20-24 µm OD), intramyocardial stress (IMS) was measured at the base of the left ventricle in isolated working and nonworking cat hearts, perfused with Krebs-Henseleit buffer.Glass micropipettes were placed at various depths inside the left ventricular wall using a micropipette holder and manipulator.Calculation of the IMS is not a simple problem because of the complex structure of the active fibres in the myocardium.However a mathematical approach has been developed that reduces the complexity of this problem.It consists in using the concept of force per unit volume of the myocardium to model the components of the stress generated by the fibers in three orthogonal directions (assuming symmetrical contraction).Important relations are derived between the stress induced by the LVP and the stress induced by the active fibres in the passive medium of the myocardium.Keywords: measurement with micropipette, intramyocardial stress, active and passive stress in the myocardium, left ventricular elastance, active force per unit volume of the myocardium, stress-strain relation in the myocardium.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".