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Record W2373434924

Change of Nicotinamide Adenine Dinucleotide in Diapause and Non-diapause Eggs of Bivoltine Bombyx mori During Diapause Initiation

2013· article· en· W2373434924 on OpenAlexaff
Qi Wang

Bibliographic record

VenueCanye kexue · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsDiapauseNAD+ kinaseVoltinismBombyx moriBiologyBiochemistryNicotinamide adenine dinucleotideDehydrogenaseGlycerol-3-phosphate dehydrogenaseBotanyEnzymeLarvaGene
DOInot available

Abstract

fetched live from OpenAlex

In order to investigate the relationship between reduction of respiratory oxygen consumption and change of nicotinamide adenine dinucleotide(NAD) content during diapause initiation of the silkworm(Bombyx mori),reduced NAD(NADH) content,oxidized NAD(NAD+) content,lactate dehydrogenase(LDH) activity and cytosolic malate dehydrogenase(cMDH) activity in diapause and non-diapause eggs of a bivoltine silkworm variety from 12 h to 72 h after oviposition at 25 ℃ were determined by using high performance liquid chromatographic and spectrophotometric methods.NADH+NAD+ content,NADH/NAD+ value and LDH activity in diapause eggs reached the peak value at 18,36 and 24 h after oviposition respectively,while cMDH activity remained fluctuated.At 24 to 72 h after oviposition,NADH/NAD+ value in non-diapause eggs was extremely significantly lower than that in diapause eggs,while the contents of LDH and cMDH in non-diapause eggs was extremely significantly higher than that in diapause eggs.It is inferred that the enhancement of NAD+ degradation and the decline of NAD+ regeneration in diapause eggs jointly lead to the reduction of respiratory oxygen consumption during diapause initiation.

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 score0.001
Threshold uncertainty score0.002

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 studies0.0000.000
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 head0.016
GPT teacher head0.221
Teacher spread0.206 · 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
Published2013
Admission routes1
Has abstractyes

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