Biomechanical and Physiological Conditions Influence Erythrocytes - Erythrocyte Adhesion. An in vitro Study
Bibliographic record
Abstract
Erythrocyte - erythrocyte adhesion (EEA) is of the large interest since it will effect directly on its function and interaction with other organs. Also, erythrocytes adhesion may arise erythrocytes aggregation which has a significant effect on the hemodynamic mechanism. The present study is aimed at examining the effect of erythrocytes mechanical properties on their adhesion. In addition, the impact of the physiological conditions around erythrocytes on their adhesion will be evaluated. A simple flow compartment technique built on inverted microscope was used to calculate adhesion number (AN) of erythrocytes which reflects the ability of erythrocytes to adhere to each other. AN was correlated strongly to shear rate and erythrocyte deformation index. Shape parameters of erythrocytes (Radius and volume) were found to play a major role in EEA. The concentration of the main plasma proteins (fibrinogen and albumin) were determined to have a significant effect on EEA. The results obtained in this study give the attention that other factors rather than particle diameter and work of adhesion may effect on erythrocytes adhesion.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".