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Record W4317425319 · doi:10.22270/jddt.v13i1.5872

Evaluation of the antioxidant potential and phytochemical analysis of Terminalia mantaly and Terminalia ivorensis two plants of the Ivorian pharmacopoeia

2023· article· en· W4317425319 on OpenAlexfundno aff
Gueyraud Rolland Kipré, Don Josette Agre, Bernard Nazaire Djyh, Lacinan Ouattara, Djaman Allico Joseph

Bibliographic record

VenueJournal of Drug Delivery and Therapeutics · 2023
Typearticle
Languageen
FieldMedicine
TopicPhytochemicals and Medicinal Plants
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsTerminaliaTraditional medicinePhytochemicalAntioxidantBiologyMedicinePharmacologyBiochemistry

Abstract

fetched live from OpenAlex

The neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease and amyotrophic lateral sclerosis are characterized by a significant increase in oxidative stress that can lead to cellular damage to neurons. In recent years, the antioxidant activity of medicinal plants has become important in research against cancer and neurodegenerative diseases. Terminalia mantaly and Terminalia ivorensis are two plants traditionally used to treat lesions, wounds, ulcers and hemorrhoids, malaria and yellow fever. In the present work, we evaluated the antioxidant power and determined the secondary metabolites contained in these two plants. The results show that Terminalia mantaly and Terminalia ivorensis have a good antioxidant activity. They can be studied in the search for drugs against neurodegenerative diseases such as Alzheimer's disease. Keywords : Alzheimer's disease, Neurons, Parkinson's disease, Terminalia ivorensis and Terminalia mantaly

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.279

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 studies0.0000.000
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 head0.028
GPT teacher head0.323
Teacher spread0.295 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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