Bibliographic record
Abstract
This chapter aims to introduce the role of miRNAs in regulating neurohormonal activation. The natural progression of heart failure is accompanied by the compensatory activation of cardiac and extracardiac neurohormonal systems and changes in the anatomy and function of the left ventricle. An array of biologically active molecules belong to the sympathetic adrenergic nervous system (norepinephrine) and renin–angiotensin– aldosterone system (RAS) (Ang II and aldosterone), which are responsible for maintaining cardiac output through increased retention of salt and water, peripheral arterial vasoconstriction, and contractility, as well as inflammatory mediators that are responsible for cardiac repair and remodeling. Although, the role of miRNAs in regulating the components of RAS and the adrenergic system is still poorly not well understood, several recent observations are worth noting. In particular, miR-155 is implicated in suppressing the levels of the Ang II type 1 receptor, and miR-21 can increase aldosterone secretion in human adrenal cells. This chapter describes very limited information in this regard.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.007 |
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".