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Epididymal Based Changes in Spermatozoa of Dromedary Camels

2022· article· en· W4286374534 on OpenAlexaff
Dina E.M. Rashad, Mohamed Kandiel, Ahmed R.M. El-Khawagah, Karima Gh. M. Mahmoud, Yousef F. Ahmed, Mahmoud E.A. Abou El‐Roos, Gamal A. Sosa

Bibliographic record

VenueJournal of Camel Practice and Research · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Diversity and Health Studies
Canadian institutionsArtificial Insemination Center of Quebec
Fundersnot available
KeywordsBiologyAndrologyEpididymisVeterinary medicineMedicineSperm

Abstract

fetched live from OpenAlex

This study was aimed to declare the role of epididymal passage on semen features, DNA integrity and ultrastructures changes in dromedary camel. The testes with attached epididymis of mature dromedary camels (n=50) were collected during the rutting season from December to April. The harvested spermatozoa from the three-main anatomical epididymal segments (Head, body and tail) were assessed for semen characters, DNA integrity as well as, ultra-structural changes. A significant difference in semen features (individual motility, sperm count, membrane and acrosome intactness, viability, normality, maturity, abnormalities and acrosome length and perimeter) among different epididymal segments. Spermatozoa from epididymal tail showed a significantly (p<0.05) lower DNA fragmentation than those collected from head segment while agarose gel electrophoresis revealed non-significant difference in DNA intensity between spermatozoa from the three epididymal regions. Ultra-structures of the epididymal spermatozoa showed changes in acrosome shape, sub-acrosomal space, chromatin condensation and protoplasmic droplet during epididymal passage. The protoplasmic droplets varied in size, density and position with the epididymal segments. In conclusion, epididymal passage (from the head to the tail) is an essential pre-request for dromedary camels’ spermatozoa to attain high fertilising capacity through its great influence on spermatozoa characteristics and the fine cytological structures.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.122
GPT teacher head0.383
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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