Ekspresi dan Pathway Analisis Gen CD14 dan IL10 pada Sapi Perah yang Terinfeksi Mastitis Subklinis
Bibliographic record
Abstract
Mastitis is an inflammation of internal udder tissue caused by bacteria, it decrease milk production both in quality and quantity.This study was aimed to identify expression and pathway analysis of gene CD14 and IL10 as resistance genes in dairy infected with subclinical mastitis.Sample were taken from milk and blood 10 healthy dairy and 10 dairy containing subclinical mastitis used for CMT and RNA isolation used for gene expression analysis.The result showed that expression in healthy dairy CD14 gene had a higher expression (P<0.05).In contrast the IL10 gene had a high expression in infected dairy with subclinical mastitis (P<0.05).CD14 was an early signal receptor that activates a complex nonspecific immune response to induce various immune characteristics such as the production of inflammatory cytokines and chemokines, the production of antimicrobial peptides and so on destroy pathogens.The high expression of IL10 in infected dairy with subclinical mastitis suggested that immune responses were not functioning properly considered due to inhibiton of cytokine transduction signals by excessive production of IL10.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".