Thermal analysis of unsteady hybrid nanofluid magneto-hemodynamics flow via overlapped curved stenosed channel
Bibliographic record
Abstract
In this paper, we present a detailed mathematical model of the unsteady hybrid blood through the curved overlapping stenosed vessels in the presence of the applied external magnetic field. The governing differential equations of this model are derived from the generic laws of conservation of momentum and energy. These derived differential equations are then rendered dimensionless by incorporating the normalization parameters, which are subsequently followed by the implementation of mild stenotic supposition. The parabolic equations are solved numerically by using the explicit finite difference technique. After that, these numerical calculations are used to simulate several flow characteristics such as velocity, impedance, and wall shear stress using the set of emerging parameters taken from literature. The influence of these emerging parameters on the flow characteristics reveals that the velocity of the hybrid blood flow stream decelerates due to the presence of an induced magnetic field having the inclusion of nanoparticles. Finally, the global behavior of hybrid blood flow within the curved stenosed channels is sketched and analyzed by using various streamline plots.
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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 | 0.001 |
| 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".