Bibliographic record
Abstract
This study aimed to investigate the relationship between expression style and anger management and the level of anxiety with cardiovascular response in adults (25-45) in the city of Sanandaj .This is descriptive and correlational research.The study population included all individuals aged between 25 to 45 years who had referred to Tohid hospital in Sanandaj city.For this purpose, selected 200 subjects who have entry requirements to the study and research tools include Spielberger's State-Trait Anger Expression Inventory (STAXI-2), state-trait anxiety inventory (stai-y) and TFM device was conducted on them.The data were analyzed using Pearson correlation and regression analysis.The results showed that there is a significant and positive relationship between internal and external anger with trait anxiety and state anxiety and there is a significant and negative relationship between managing internal anger with trait and state anxiety (p<0/01).There is a significant and positive relationship between incidence of internal and external anger with heart rate, systolic and diastolic blood pressure (p <0/01).There is a negative and significant relationship between managing internal and external anger with heart rate and systolic and diastolic blood pressure (p <0/01).The results showed that there is a significant and positive relationship between trait anxiety with heart rate, systolic and diastolic blood pressure (p <0/01) and there is a significant and positive relationship between state anxiety with heart rate, systolic and diastolic blood pressure (p <0/01).
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.933 | 0.899 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".