Dentin microtensile bond strength of 10-MDP contained denal adhesives used in class V cavity
Bibliographic record
Abstract
The objective of this study is to evaluate the dentin microtensile bond strength of total etching and self-etch dental adhesives which have 10-MDP as a functional monomer used in class V cavity restoration.This in vitro study evaluates the dentin microtensile bond strength at the gingival margin of Class V cavities which were bonded with various 10-MDP contained dental adhesives for the resin composite restorations.For this purpose, 45 freshly extracted sound human upper premolars were prepared with water-cooled high-speed hand piece and cylindrical diamond bur [D8] at cemento-enamel junction on buccal surface of the teeth.The occlusal margin of cavity is located on enamel, and the gingival margin is located on cementum.The prepared teeth were randomly assigned into three groups of ifteen teeth.Microtensile bond strength (µTBS) was recorded, the failure patterns were classiied, and the micromorphology of resin-dentine interfaces was evaluated.Results were analyzed by one-way ANOVA and Tukey's test (α = 0.05).There were statistically signiicant higher (p = 0.019) µTBS value of SBU (10.7664±4.2676MPa) than CTS value (6.4257±4.1786MPa) but no statistically signiicant difference (p > 0.05) between SBU (10.7664±4.2676MPa) and CSE (9.3257±3.6572MPa), and between CSE (9.3257±3.6572MPa) and CTS (6.4257±4.1786MPa) were found.The adhesive failure between resin-dentin interfaces of three adhesive systems accounted for 75.33% of the total number of fractures and no cohesive failures were found in dentin.Considering the limitations of this in vitro study, some 2-step total etching dental adhesive which has 10-MDP as a functional monomer may be capable of producing higher microtensile bond strengths than 1-step self-etch dental adhesive which has 10-MDP as a functional monomer.
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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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".