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Record W1975448057 · doi:10.1139/y10-083

Differential constrictor responses of cephalic and caudal vasculature to α-adrenoceptor agonist after hind limb unloading

2010· article· en· W1975448057 on OpenAlexafffundvenue
Simon Hutchings, Jong Moo Kim, Dongzhe Song, Catherine C.Y. Pang

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2010
Typearticle
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of British ColumbiaUniversity of Alberta
KeywordsHindlimbAgonistAnatomyMedicineForelimbBiologyInternal medicineEndocrinologyReceptor

Abstract

fetched live from OpenAlex

We examined the effects of hind limb unloading (HLU, 14 days) on constriction of carotid and iliac arterial beds in vivo in thiobutabarbital-anaesthetized rats and isolated carotid and iliac arteries in vitro. Both control and HLU rats had similar arterial pressure and carotid and iliac arterial flows. The HLU rats had increased carotid arterial but reduced iliac arterial constriction in response to methoxamine (α1-adrenoceptor agonist) in vivo. In contrast, constriction in response to methoxamine was reduced in the isolated carotid and unchanged in the iliac artery of HLU rats relative to control rats. Thus, HLU is associated with increased constriction of carotid arterial bed but reduced constriction of the isolated carotid artery, and reduced constriction of iliac arterial bed but unchanged constriction of the isolated iliac artery. These results show differential influence of HLU on constriction of cephalic and caudal arterial beds, and differential effect on constrictions of arterial beds relative to conduit arteries.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.269
Teacher spread0.261 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2010
Admission routes3
Has abstractyes

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