Electron-Microscopic Studies on the Palatine Tonsil of the Buffalo (Bubalus bubalis)
Bibliographic record
Abstract
The study examined the ultrastructural features of the palatine tonsils of the local mixed breed of adult buffaloes using scanning and transmission electron microscopy. The tissue samples collected from the palatine tonsils were fixed in 2% glutaraldehyde solution and processed for scanning and transmission electron microscopy. The scanning electron microscopy of the tonsil's surface epithelium presented folded mucosa consisting of folds divided by shallow grooves. The mucosal surface was having a squamous arrangement of cells that were delineated from the adjacent cells. These cells at higher magnification presented the microplicae, which appeared as if filled with material. A few small duct openings were irregularly placed throughout the mucosal surface. The transmission electron-microscopy elaborated structural details of the distinct strata of the surface and reticular epithelia, the cell organelles as well as the lymphocytes migration across the high endothelial venules. The vesiculo-vacuolar organelle was also observed. The study provided detailed ultramicroscopic features of the palatine tonsil, which might play a significant role in the induction of immunity against ingested antigens sampled at the mucosal surface.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".