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Stress and Dietary Factors Modify Boar Sperm for Processing

2011· review· en· W1527214080 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReproduction in Domestic Animals · 2011
Typereview
Languageen
FieldMedicine
TopicSperm and Testicular Function
Canadian institutionsUniversity of SaskatchewanUniversity of Guelph
Fundersnot available
KeywordsBOARSpermAndrologyStress (linguistics)Food scienceBiologyMedicine

Abstract

fetched live from OpenAlex

This paper reviews stresses boar sperm undergo during processing and presents preliminary results of dietary modification that minimize this damage. Processing for artificial insemination (AI) stresses boar sperm by osmotic effects; altering cell size, shape and membranes; intracellular ice formation; and production of reactive oxygen species (ROS). Sperm response to ROS is concentration-dependent, with low levels activating the ERK pathway to stimulate tyrosine phosphorylation (Tyr-P) and capacitation, but high concentrations or inappropriately timed onset of ROS pathways can harm sperm. Fresh boar sperm exposed to ROS increased intracellular hydrogen peroxide (H(2) O(2) ) phospholipase and lipid peroxidation, maintained viability but lost motility and underwent acrosome reactions (AR). Direct incorporation of lipids ± the antioxidant Vitamin E improves the survival of liquid- and frozen-stored semen. Boars fed dietary flaxseed for 8 weeks to increase n-3 fatty acids displayed improved sperm morphology (p < 0.05), increased membrane fluidity (p < 0.05) and better retention of motility and viability during 5-7 day storage (p < 0.05). Processes reducing oxidative damage to stored sperm should be evaluated.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.116
GPT teacher head0.366
Teacher spread0.250 · 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