Determination of mechanical properties of individual living cells
Bibliographic record
Abstract
In this thesis, a finite element and experimental modal analysis are employed to determine the mechanical properties of the living cells. Because the determination of mechanical properties of the living cells and particularly the natural frequencies are highly important to diagnose the health condition of cells, a comprehensive analysis is carried out to determine the natural frequencies of individual cells. Since many cells have a spherical shape, a spherical shape of the cell is considered for this analysis. The natural frequencies and corresponding mode shapes are determined for specific type of cell whose elastic properties of cell have been measured experimentally. To validate the numerical analysis, an experimental set up is designed to measure the natural frequencies of some scaled up models of cell. In parallel, the numerical method that was used for cell modal analysis is employed to determine the natural frequencies of scaled up models of cell to show the agreement between the finite element and experimental analyses. For then, the FEA model is extrapolated to the biological cell. The results obtained from the finite element modal analysis of cell are compared to the latest reports available on the values of natural frequencies of cell.
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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) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".