Monitoring Vaginal Electrical Impedance in Bangladeshi Water Buffaloes During Postpartum Period
Bibliographic record
Abstract
The achievement of early cyclicity and pregnancy after calving are of vital importance for sustainable buffalo farms, for which proper detection of oestrus and correct time of AI are necessary. Vaginal electrical impedance (VEI) observation using heat detector was used to identify estrus in buffalo cows during post-partum period. In the first group, 12 buffalo cows with post-partum>300 days were synchronized with OVSYNCH protocol and VEI was recorded at different stages of synchronization protocol. VEI values decreased significantly (P < 0.01) during second administration of GnRH in both pregnant and non-pregnant buffalo cows and it was indicative for the presence of oestrus. Higher VEI values were obvserved at second administration of GnRH and AI in non-pregnant group than the pregnant group. In second group, 8 buffalo cows with a post-partum period 40 to 96 days were used to record VEI daily. Lower VEI values (260-350Ω) were observed during oestrus and then started to increase at higher level after oestrus. The day difference between two successive lower/higher values of “VEI waves” ranged from 17-25 days, which might indicate the oestrous cycle in buffalo cows. Moreover, physical signs such as colour of vulva, mucus were less intensive in buffalo cows of second experiment. The study suggests that the measurement of vaginal impedance could serve as an indicator of the oestrus in buffalo cows and daily impedance measurements are necessary to confirm the stages of the estrous cycle.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".