Two Phase Heat Transfer on Porous Media Base Termite Nest Structure with Finite Element Method
Bibliographic record
Abstract
Termites have a unique heat regulation where termite nests can maintain a stable temperature even though the temperature outside the nest changes.The termite nest itself has a porous structure that causes the temperature to move with a certain mechanism.The temperature in termite nests is considered to move through two phases, namely the conduction phase and the convection phase.The purpose of this research is to build a thermal insulation model and numerical analysis of thermal insulation models.The thermal insulation model in termite nests is made with a porous media approach.Furthermore, finite element methods are used for simulation and numerical analysis of thermal insulation models in termite nests.Finite element method with Galerkin for element discretization and Runge-Kutta for time discretization.The finite element method simulates thermal distribution in termite nests.The thermal insulation model was validated with original data using MAPE and R 2 Score.The validation results obtained the MAPE score is 3% for the conduction phase and 0.2% for the convection phase.Changes in parameters have a significant effect on conduction but not convection.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".