Prywatyzacja spółek jednostek samorządu terytorialnego poprzez obejmowanie akcji w podwyższonym kapitale zakładowym
Bibliographic record
Abstract
Endothelial dysfunction is commonly observed in women with a previous diagnosis of gestational diabetes mellitus (GDM). Whether arterial stiffness is also related to pregnancy and/or postpartum glucose intolerance has not been determined. We examined the influence of GDM during pregnancy and hyperglycemia in the postpartum period on arterial function. Thirty postpartum women were stratified into one of three groups: 1) normoglycemic pregnancy, normoglycemic postpartum (NORM), 2) GDM during pregnancy, normoglycemic postpartum (GDM-N); and 3) GDM during pregnancy, hyperglycemic postpartum (GDM-H). Ten never-pregnant controls were also recruited (Control). All measures were made at 2 mo postpartum or in the early follicular phase in Control women. Arterial stiffness was assessed by pulse wave velocity (PWV) and brachial and carotid artery distensibility. Endothelial function was determined by flow-mediated dilation (FMD). PWV was not different between the four groups. Distensibility of the brachial and carotid arteries was lower in GDM-N women (brachial: 1.1 × 10(-3) mmHg(-1) ± 3.6 × 10(-4); carotid: 2.0 × 10(-3) ± 3.3 × 10(-4)) and GDM-H (brachial: 1.4 × 10(-3) mmHg(-1) ± 4.1 × 10(-4); carotid: 1.8 × 10(-3) mmHg(-1) ± 5.0 × 10(-4)) compared with NORM women (brachial: 3.4 × 10(-3) mmHg(-1) ± 7.0 × 10(-4); carotid: 3.9 × 10(-3) ± 7.4 × 10(-4)). However, only brachial artery distensibility returned to Control levels by 2 mo postpartum in the NORM women. FMD was lower in previously GDM women (GDM-N: 4.1% ± 2.3; GDM-H: 4.4% ± 0.9) compared with NORM women (10.8% ± 1.3; P < 0.01). These findings suggest that the vascular function of women in the early postpartum period is influenced by GDM during pregnancy and the persistence of clinical and/or subclinical hyperglycemia after delivery.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".