BACTERIAL PROFILE OF RETAIL RABBIT CARCASSES MARKETED IN BENI-SUEF PROVINCE, EGYPT
Why this work is in the frame
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Bibliographic record
Abstract
The current study aimed to evaluate the bacteriological status of retail rabbit carcasses marketed in Beni-Suef province, Egypt. For such aim, a total of 25 fresh rabbit carcasses were randomly collected from different rabbit markets in Beni-Suef during 2015. The collected samples were subjected to determination of aerobic plate count (APC) at 35 °C, and most probable number (MPN) of coliforms, faecal coliforms and E. coli, in addition to isolation and identification of E. coli (true faecal type), Salmonella spp.and Yersinia enterocolitica. The obtained results revealed that 32, 64, 72 and 52 % of examined rabbit meat samples from shoulder, loin, rib and thigh regions, respectively, exceeded the acceptable limits recommended by Egyptianstandardsfor APC (105 CFU/g flesh). While none of the examined samples exceeded the international standards (107 CFU/g) stated by the International Commission on Microbiological Specification for Foods (ICMSF). Regarding the pathogenic microorganisms, it was found that 11 (44 %), 8 (32 %), 15 (60 %) and 10 (40 %) out of 25 rabbit cuts contained E. coli biotype I in shoulder, loin, rib and thigh regions, respectively. However, 3 (12%), 3 (12%), 3 (12%) and 2 (8%) samples containedSalmonella spp., and 3 (12%), 3 (12%), 6 (24%) and 7 (28%) containedYersinia enterocolitica, respectively. The public health significance of isolated pathogens and their sources of contamination were discussed throughout the study.
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.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it