Effect of temperature on the coagulation activity of blood plasma in rainbow trout (<i>Oncorhynchus Mykiss</i>), common carp (<i>Cyprinus Carpio</i>) and the african catfish (<i>Clarias Gariepinus</i>) <i>in vitro</i>
Bibliographic record
Abstract
Data from coagulograms of rainbow trout Oncorhynchus mykiss (Walbaum, 1792), african sharptooth catfish Clarias gariepinus (Burchell, 1822) and common scaly carp Cyprinus carpio (L., 1758) obtained by clotting methods at plasma incubation temperatures of 43°C, 40°C, 37°C, 24°C, 28°C and 18°C were analyzed. It was revealed that in catfish and carp the internal pathway predominates in the activation of blood coagulation, and in trout the main ones are the formation of a clot along the internal and general pathways. The amount of soluble fibrin-monomer complexes in trout is the highest of all fish studied. Hypo- and hypercoagulable states in the plasma hemostasis of the studied fish species in vitro were established at both low and high temperatures of the reaction medium. Fibrinogen and antithrombin III exhibit thermolabile at temperatures other than 37°C. Correlation and regression analysis showed that the most closely related to changes in temperature in carp are prothrombin time (PT), and the activity of fibrinogen and antithrombin III in catfish. A change in PT of 50% can be explained by the influence of the temperature factor, and the fibrinogen and antithrombin III activity by 77% and 52%, respectively. The identified patterns can become the basis for determining the boundaries of thermal adaptation of fish and developing biomarkers of heat stress.
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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) | 0.000 | 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) | 0.001 | 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".