Low intensity pulsed ultrasound stimulates osteogenic differentiation of human gingival fibroblasts
Bibliographic record
Abstract
A study was conducted to investigate the effect of low intensity pulsed ultrasound (LIPUS) on osteogenic differentiation of human gingival fibroblasts (HGF). Bone cells, cementoblasts, and odontoblast cells are very sensitive to LIPUS exposure. The study used HGF cells cultured in 48-well plates at 2.5×103 cells/well and analyzed different cell activities. The study used MTT (4,5-dimethyl thiazol-2-yl)-2,5-diphenyl tetrazolium bromide) assays to measure the cell viability. The study observed an increase in total DNA content and LIPUS treatment can regulate OPN gene expression. The study also found that the LIPUS stimulation can enhance the differentiation of HGF by increasing ALP activity and OPN expression. The LIPUS stimulation can be used for therapeutic treatment of odotoblast cells.
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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".