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Record W2153364475 · doi:10.5539/eer.v2n1p115

Effects of Radiation Emitted From Base Stations on Bilirubin, Transaminases and Lipid Peroxidation in Exposed Rats

2012· article· en· W2153364475 on OpenAlexvenueno aff
A. C. Achudume, B. Onibere, Polycarp U. Nwoha, Olusegun Isaac Alatise, F Aina

Bibliographic record

VenueEnergy and Environment Research · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsLipid peroxidationIonizing radiationBilirubinCholesterolInternal medicineOxidative stressMedicineChemistryPhysiologyEndocrinologyIrradiation

Abstract

fetched live from OpenAlex

Purpose: Exposure to non-ionizing radiation emitted from base station have been reported to have some evidence of alterations in the activity of certain cells leading to unspecific health symptoms referred to as idiopathic environmental intolerance. The objective of the present study was to evaluate bilirubin, amino transferases, lipid peroxidation, total cholesterol and High density lipoprotein (HDL) Cholesterol in whole blood as indices of stress- related idiopathic environmental intolerance. Materials and Methods: Male rats were randomized and exposed to non- ionizing radiation emitted by base station between three mobile telephone masts for up to 60 days. Results: Results showed that at 40 days of exposure, there were no observable differences in the levels of alanine and aspartate transaminases. However, at 60 days of exposure, there were significant decreases in amino transaminases and did not cause any significant stress in bilirubin. The intracellular level of lipid peroxidation as measured by malondiadehyde in the liver and kidney decreased by 15% and 43%, respectively. There was no difference in level of cholesterol at 40 days of exposure while the increased levels at 60 days were not significant. Conclusion: The parameters evaluated indicate stress-related unspecific symptoms which may be associated with non-ionizing radiation emitted from base stations.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.601

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)0.0010.000

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 head0.060
GPT teacher head0.314
Teacher spread0.254 · 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 designObservational
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
Published2012
Admission routes1
Has abstractyes

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