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Record W1842418547 · doi:10.3329/bjms.v14i3.23468

Oxidative Stress and Aging

2015· article· en· W1842418547 on OpenAlexaff
N.S. Neki

Bibliographic record

VenueBangladesh Journal of Medical Science · 2015
Typearticle
Languageen
FieldMedicine
TopicHydrogen's biological and therapeutic effects
Canadian institutionsSt. Boniface Hospital
Fundersnot available
KeywordsOxidative stressXanthine oxidaseReactive oxygen speciesPeroxynitriteAgeingMitochondrionSuperoxideOxidative phosphorylationCell biologyNADPH oxidaseHydrogen peroxidePeroxisomeFree-radical theory of agingCytochrome c oxidaseBiochemistryMedicineChemistryEnzymeBiologyInternal medicineReceptor

Abstract

fetched live from OpenAlex

Ageing is an inevitable life process characterized by a gradual functional decline of all organ systems occurring at the cellular, tissue, organ and whole body levels further leading to the development of diseases and finally death. Although aging is a normal physiological process, it can be accelerated during oxidative stress or during chronic inflammatory conditions. An appropriate theory must explain four main characteristics of ageing: it is endogenous, progressive, irreversible and deleterious for the individual. Oxidative stress is caused by imbalance between oxidants and antioxidants. Reactive Oxygen Species (ROS) not only cause cell damage, but are also involved in intracellular signaling. ROS include superoxide (O2-), hydrogen peroxide (H2O2), hydroxyl radical (OH-) and peroxynitrite. Various enzyme systems produce ROS including the mitochondrial electron transport chain, cytochrome P450, lipoxygenase, cyclooxygenase, the NADPH oxidase complex, xanthine oxidase and peroxisomes. More research is needed to explain the exact mechanisms related to ageing and oxidative stress.Bangladesh Journal of Medical Science Vol.14(3) 2015 p.221-227

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.048
GPT teacher head0.346
Teacher spread0.298 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations5
Published2015
Admission routes1
Has abstractyes

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