Modulating Stiffness in DNA-Crosslinked Polyacrylamide Gels
Bibliographic record
Abstract
At Rutgers, we have developed a new class of DNA-crosslinked hydrogels that promise to have a wide range of applications ranging from drug delivery to prosthetics. Advantages of using DNA in place of more common crosslinkers such as bis(acrylamide) include thermoreversibility and the ability to engineer the crosslink length. We have shown previously that gel stiffness is a function of the DNA crosslink density [1], and demonstrated a second method whereby stiffness was enhanced by generating tensegrity within the gel network [2]. In this study, controlled procedures were employed to monitor the extent to which gel compression during electrophoresis influences the stiffness of the gel. The effects of DNA “fuel” and counter-fuel (removal) strands were investigated. A nearly four-fold increase in elastic modulus was reversibly attained by the introduction of fuel strands to stiffen the crosslinks and create a tensegrity microstructure.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".