Relation of Vibrating Line to Location of Fovea Palatinae in Local Population
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to assess the location of foveae palatinae in relation to vibrating line for developing posterior palatal seal to enhance retention of maxillary complete dentures. Retention of a complete denture is the major factor to resist the forces of dislodgement along the path of insertion. In complete denture fabrication, fovea palatinae is the guideline for the posterior extension in the maxilla. Fovea palatinae mucous gland secretion helps in the retention by forming a thin layer within the maxillary complete denture. METHODOLOGY: The study was conducted in Sharif College of Dentistry in Lahore, Pakistan on a sample size of two hundred and fifty dentate, partially dentate and edentate patients with different age groups. Clinical examination of the maxilla was conducted for assessment of the vibrating line, whether it was at, anterior to or posterior to the fovea palatinae. The researcher used an indelible pencil to mark the ah line i.e vibrating line and its distance with fovea palatinae was measured. RESULTS: Results were concluded using SPSS Version 23. The fovea palatinae were mostly found to be located at 1.68 mm±1.11 anterior to the vibrating line. Thus, the dentists should assess this distance for the posterior extension of the maxillary denture. CONCLUSION: Fovea palatinae location in relation to vibrating line is an important landmark for posterior palatal seal in a complete denture. In the majority of cases, fovea palatinae were located 1.68 mm±1.11 anterior to the vibrating line. KEYWORDS: Foveae Palatinae, Vibrating line, Retention, Posterior palatal seal.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".