Bibliographic record
Abstract
Biological tissues are mechanoresponsive; that is, their properties dynamically change in response to mechanical stimuli. For example, in response to shear or elongational strain, collagen, fibrin, actin, and other filamentous biomaterials undergo dramatic strain-stiffening. Above a critical strain, their stiffness increases over orders of magnitude. While it is widely accepted that the stiffness of biological tissues impacts cell phenotype and several diseases, the biological impact of strain-stiffening remains understudied. Synthetic hydrogels that mimic the mechanoresponsive nature of biological tissues could serve as an in vitro platform for these studies. This review highlights recent efforts to mimic the strain-stiffening behavior of biological materials in synthetic hydrogels. We discuss the design principles for imparting synthetic hydrogels with biomimetic strain-stiffening, critically compare designs of strain-stiffening hydrogels that have been reported thus far, and discuss their use as in vitro platforms to probe how strain-stiffening impacts cell behavior, diseases, and other biological processes.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 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) | 0.011 | 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; both teacher heads agree on what is shown here.
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".