Bibliographic record
Abstract
e last offered our ideas on the role of reverse EC coupling in the initiation of arrhythmias in 2001. 1 At that time we emphasized that spurious Ca 2ϩ release or oscillations in Ca 2ϩ levels could serve as possible triggers for arrhythmias.Since then much has been done to confirm this role for intracellular Ca 2ϩ .At that time we did not discuss the role of Ca 2ϩ cycling in the maintenance or conversion of stable tachycardias to VF.However, in consideration of the new data on the role of APD restitution in the initiation of VF (increase in wavebreaks; eg, see Garfinkel et al 2 ), we turn our attention now to the role Ca 2ϩ cycling in the myocyte and its impact on APD restitution relations in the isolated rabbit ventricular cell. 3Goldhaber et al consider the role of Ca 2ϩ using different types of APD restitution protocols to emphasize the dynamic nature of intracellular Ca 2ϩ changes and its subsequent impact on the myocyte APD.In their study APD alternans is coupled to Ca 2ϩ cycling, which in itself is not new since others have observed that APD alternans demonstrates a hystersis and is inhibited with BAPTA-AM buffering. 46][7] In fact there has been a large body of work implying that APD alternans and Ca 2ϩ cycling are intimately linked (eg, see 8,9 ).However caution must be raised because Chudin et al 10 have reported that the dynamics of Ca i are altered even when an AP clamp waveform is used.Although the Chudin data may have little relation to the AP dynamics and Ca 2ϩ cycling of normal ventricular myocytes (such as those used in the study of Goldhaber), they may well contribute to our understanding of the dynamics of Ca i cycling in the highly remodeled myocyte where little or no frequency-dependent APD shortening exists due to remodeled potassium channels (eg, epicardial border zone cells).
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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.020 | 0.036 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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".