Free-forced convective boundary-layer flow of a biomagnetic fluid under the action of a localized magnetic field
Bibliographic record
Abstract
The problem of the two-dimensional steady and laminar free-forced convective boundary-layer flow of a biomagnetic fluid over a semi-infinite vertical plate, under the action of a localized magnetic field, is numerically studied. The dynamic viscosity of the biomagnetic fluid as well as its thermal conductivity is considered to be temperature-dependent whereas the magnetization of the fluid varies linearly with the magnetic field strength. The numerical solution of the coupled and nonlinear system of partial differential equations (resulting after the introduction of appropriate nondimensional variables) with boundary conditions describing the problem under consideration, is obtained by an efficient numerical technique based on the common finite difference method. Numerical calculations were carried out for the case of blood (Pr = 21) for different values of the dimensionless parameters entering into the problem, especially for the magnetic parameter Mn and the viscosity–temperature parameter Θr. The analysis of the obtained results, presented in figures, shows that the flow field is influenced by the application of the magnetic field, which could be interesting for medical and bioengineering applications. PACS Nos.: 44.20.+b, 44.25.+f, 44.27.+g, 47.15.Cb, 47.65.Cb, 47.63.–b, 47.90.+a
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".