Use of PCR for Detection of Mastitis-Causing Pathogens Isolated from Bovine Quarter Milk Samples
Bibliographic record
Abstract
Milk and milk products have a tremendous impact on the US diet in regards achieving recommended intakes of nutrients. The dairy industry makes ~$125 billion per year and spends ~$1.8 billion in controlling mastitis, an inflammation of the mammary gland that results in a decrease in milk production and other losses. In this study, the potential role of pulsed electromagnetic field therapy (PEMFT) in controlling mastitis in dairy cows was investigated. \n \nA Polymerase Chain Reaction (PCR) protocol was developed in order to confirm the identity of mastitis causing pathogens isolated from 184 quarter milk (QM) samples that were collected from the udders of mastitic dairy cows treated with PEMFT. It is hypothesized PEMFT has the potential of becoming an effective, non-invasive and antibiotic-free treatment capable of reducing mastitis pathogens. The PCR protocol utilizes Staph. aureus, E. coli, and 3 Streptococcus sp. pathogen-specific primer sets that amplify a specific segment of DNA in these bacterial strains. A total of 66 of the QM samples were evaluated, and 52 (79%) tested positive for E. coli and 2 (3%) for Staphylococcus. The effect of PEMFT on mastitis will be assessed after all the samples have been tested.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".