Thermal Radiation and Viscous Dissipation Effects on (MHD) Bioconvection Stream of Maxwell Nanoliquid over a Permeable Vertical Plate Due to Gyrotactic Microorganisms
Bibliographic record
Abstract
This manuscript deliberates on thermal radiation and viscous dissipation possessions on magneto-hydrodynamic (MHD) bioconvection stream of a new variety of water established the upper-convected Maxwell, Nanoliquid covering Nanoparticles and motile gyrotactic microorganisms over an absorptive vertical moving plate. Nanoliquid bio convective is developed through the mutual possessions of buoyant forces and magnetic field on the collaboration of motile microorganisms and Nanoparticles. The leading nonlinear PDE of the problem are transforming into a structure of nonlinear ODE over suitable similarity conversion and shooting method procedure joined with Runge–Kutta–Fehlberg integration pattern, the exemplary BVP is attempted numerically. A parametric investigation of the complete stream regime is supported out to demonstrate the possessions of the leading constraints, specifically bioconvection Lewis quantity Lb, traditional Lewis quantity Le, bioconvection Peclet quantity Pe, buoyancy quotient constraint Nr, bioconvection Rayleigh quantity Rb, Brownian motion constraint Nb, thermophoresis constraint Nt, Hartmann quantity Ha, Grashof quantity Gr, radiation constraint R Eckert quantity Ec, microorganisms concentration variance constraint Ω and a suction/injection constraint fw on the flow, temperature, volume fraction of nanoparticles and motile microorganisms density outlines as well as the friction quantity, the local Nusselt quantity, the local Sherwood quantity and the local density quantity of the motile microorganisms.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".