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Record W2362653091

Effects of the low latitude and high elevation region's UV-B radiation on the content of MDA and soluble protein of the Primula

2008· article· en· W2362653091 on OpenAlexaff
Li Luo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicPhytochemical and Pharmacological Studies
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsPrimulaLatitudeElevation (ballistics)Low latitudeBotanyBiologyHorticultureAnimal scienceChemistryGeographyPhysics
DOInot available

Abstract

fetched live from OpenAlex

Utilize the UV-B radiation strength datum of five-test place in Yunnan province,which located in different latitude and different elevation but similarly in the same longitude. At the same time plant primula as experimental material,then determine the content of MDA and soluble protein in plant leaves,analysis the effects of the low latitude and high elevation region’s UV-B radiation on the content of MDA and soluble protein. The results shows that from February to May the UV-B radiation strength was increased,the maximum appeared in Lijiang(12.90 w·m-2 in May);the low latitude and high elevation region’s UV-B radiation was much higher than high latitude and low elevation region’s;the primula leaves content of MDA was much higher during Match and April,but the higher content of soluble protein appeared in February and April. The result shows that:with the increase of the UV-B radiation strength,the content on MDA increased at first and then; in higher UV-B radiation region the content of MDA was also higher;during different physiology time the content of MDA showing difference,the higher content emerge in flowering and fruiting duration;but with the variation of UV-B radiation strength the change of the soluble protein showing diversity in test place;during different physiology time the content of soluble protein showing variant,the higher content emerge in flowering period.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.076

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.035
GPT teacher head0.237
Teacher spread0.202 · 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 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
Published2008
Admission routes1
Has abstractyes

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