Self‐healing Polyol/Borax Hydrogels: Fabrications, Properties and Applications
Bibliographic record
Abstract
Abstract Self‐healing polyol/borax hydrogels have found great applications in various areas; especially in sensors, flexible electronics and biomedical fields. In this review, fabrication and characteristics of various types of borax‐based hydrogels are discussed. Mechanical properties and self‐healing behaviors of these hydrogels are strongly affected by the types of polyol, ratio of polyol:borax, and concentration of each component. Incorporation of highly polar nanofillers (such as cellulose nanofibers) into hydrogels and fabrication of double‐network structures have been employed as the promising strategies for improving the mechanical properties. Other additives have also been examined to generate nanocomposite hydrogels for a wide variety of uses; e. g. polyphenols for developing adhesives, conducting polymers, and hybrid structures based on carbon nanotubes and graphenes for electroconductivity, Ag and ZnO nanoparticles for antibacterial property, and quantum dots for fluorescence.
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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 | 0.000 |
| 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) | 0.001 | 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".