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Record W2369831598

Effects of SNP on Antioxidant Enzyme Activity and Lipid Peroxidation of Pennisetum glaucum Seedlings

2011· article· en· W2369831598 on OpenAlexvenueno aff
Ni Wang

Bibliographic record

VenueSeed · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Agricultural Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsPoint of deliveryPennisetumSNPAntioxidantChemistryLipid peroxidationSodium nitroprussideNitric oxideAnimal scienceHorticultureBiologyBotanyBiochemistrySingle-nucleotide polymorphismGenotypeGene
DOInot available

Abstract

fetched live from OpenAlex

Effects of sodium nitropprusside(SNP,an exogenous nitric oxide donor) on Antioxidant enzyme activity and Lipid Peroxidation of the Seedlings of Pennisetum glaucum were studied.The results showed that the activities of SOD,CAT and POD in seedlings of Pennisetum glaucum showed a tendency of increasing in the early period and then decreasing in the late period with SNP concentration increasing.The activities of SOD were the biggest and was 116.2% of the control when SNP concentration was 100 μmol/L,the activities of CAT were the biggest and was 244.6% of the control when SNP concentration was 200 μmol/L,the activities of POD were the biggest and were 172.7% of the control when SNP concentration was 200 μmol/L.The contents of MDA of seedlings had significant negative correlation with SNP concentration of 0~100 μmol/L,and had significant positive correlation with SNP concentration of 100-500 μmol/L,which were 79.3% of the control when SNP concentration was 100 μmol/L.

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 score0.003
Threshold uncertainty score0.005

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 integrity0.0000.001
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 head0.008
GPT teacher head0.186
Teacher spread0.178 · 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
Published2011
Admission routes1
Has abstractyes

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