Morphological differences of sigmoidal baroreflex in highly-reactive and non-reactive individuals
Bibliographic record
Abstract
The purpose of this paper is to analyze morphological differences in sigmoidal characteristics of baroreflex among two groups of children: highly-reactive and non-reactive. These two groups are separated based on their different autonomic nervous system responses to stressful situations. Baroreflex or baroreceptor reflex is a prompt biological reflex which is stimulated by baroreceptors, and regulated by autonomic nervous system. We applied sigmoid function as the model of baroreflex characteristic while this method is well-accepted by physiologists and engineers in the field. Sigmoid function is defined by using three variables; dynamic range, saturation rate, and inflection point. Any deficiency in this biological reflex, i.e. unwanted variation in the amount of the mentioned variables, results in the baroreflex malfunctioning. In this paper, it is shown that inflection point of the baroreflex characteristic is greater in highly-reactive children compared to non-reactive children. We introduced an optimization problem to estimate unknown parameters of sigmoid function. We also applied a search method named genetic algorithm to solve the optimization problem.
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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 | 0.002 |
| 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".