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Record W22004978 · doi:10.1016/j.bbr.2011.09.045

Planta de compostaje de Abajas (Burgos)

2009· article· en· W22004978 on OpenAlexfundno aff
José A. Fernández Quiñones

Bibliographic record

VenueRetema: Revista técnica de medio ambiente · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeological and Historical Studies
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Exogenous estradiol (E) is used occasionally to treat the side effects associated with androgen-deprivation in men, but its effects on sleep patterns have received little attention. We examined whether E modulates sleep patterns and recovery from sleep loss in castrated male rats. Adult male rats were castrated and implanted subcutaneously with Silastic tubes containing either oil (Cast+Oil) or E (Cast+E). Sham-operated male rats (Intact) were implanted with oil-filled tubes. All rats were also implanted with EEG and EMG electrodes for sleep/wake recordings. After two weeks, polysomnographic recordings were made before, during, and following 6h of sleep deprivation (SD). At baseline, the Cast+Oil group showed sleep and EEG patterns similar to those in the Intact group. Compared to these groups, the Cast+E group spent more time awake during the dark (active) phase, and showed higher EEG theta power (a measure of cortical activation) during wake and rapid eye movement (REM) sleep in both the light and dark phases. Following SD, the Cast+E group showed a larger increase from baseline in REM sleep amount, compared to the Cast+Oil group. The Cast+Oil group showed prolonged rebound in non-REM sleep and EEG delta power, and reduced REM sleep rebound, compared to the other two groups. These results indicate that E treatment in castrated male rats promotes baseline wakefulness during the active phase, and facilitates recovery of REM sleep after acute sleep loss. The possible benefit of E treatment for improving sleep quality in androgen-deprived men remains to be investigated.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.238
Teacher spread0.212 · 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 designNot applicable
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
Published2009
Admission routes1
Has abstractyes

Explore more

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