Bioproduction of Conjugated Linoleic Acid in Yogurt by Probiotic Bacteria
Bibliographic record
Abstract
Background: Psoriasis is a recurring chronic inflammatory disease, which can involve the skin, nails and joints. Nail psoriasis occurred in 50% of psoriasis patients. Nail psoriasis can interfere with the quality of life (QoL) due to its physical, mental, and social impacts. To determine the correlation between Nail Psoriasis Severity Index (NAPSI) score and QoL in nail psoriasis patients.Methods: This was a correlative analytical study with a cross-sectional approach that involved nail psoriasis subjects aged ≥18 years. Data accessed from the recording of basic data. The examination of subjects included an assessment of NAPSI scores and the Nail Psoriasis Quality of Life (NPQ10) questionnaire. Statistical analyses were performed using Pearson’s correlation coefficients, with P<0.05 was considered statistically significant.Results: A total of 26 subjects with nail psoriasis, with the highest proportion, were female (57.7%), age group of 48–57 years (34.6%), duration of psoriasis >5 years (76.9%), NAPSI score 81-100 (30.8%), the mean NAPSI score was 89.42±32.01, and the mean NPQ10 score was 6.96±3.30. There was a significant moderate positive correlation between the NAPSI score and QoL (r=0.632, p=0.001).Conclusion: The higher the NAPSI scores, the worse the quality of life for nail psoriasis patients.
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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".