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Record W2077997158 · doi:10.2174/1874340400802010007

Developmental Effects of 7 Hz, Square Wave Magnetic Fields and Nitric Oxide Modulation on Organ Systems

2008· article· en· W2077997158 on OpenAlexafffund
Paul D. Whissell, Bryce P. Mulligan, Mackenzie Hunter, Hongjuan Wu, G. H. Parker, M. A. Persinger

Bibliographic record

VenueThe Open Toxicology Journal · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicElectromagnetic Fields and Biological Effects
Canadian institutionsLaurentian University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWeanlingNitric oxideOffspringNitric oxide synthaseEndocrinologyInternal medicineChemistryPregnancyMedicineBiology

Abstract

fetched live from OpenAlex

Prenatal or perinatal exposure to physiologically-patterned magnetic fields (MFs) affects behaviour in weanling (22d) and young adult (90d) rats. However, the long-term (120d-730d) biological effects of these MFs have not been examined. In the current study, the long-term effects of developmental exposure to a physiologically-patterned MF, and their dependence on nitric oxide (NO) activity, were investigated. Pregnant dams were exposed from 2d before to 14d after parturition to square wave, 7 Hz MF and to either water or nitric oxide (NO) modulation in tap water with NO precursor 1.0 g/L L-arginine or 0.5 g/L NO inhibitor n-methylarginine. To assess the possibility of intensity-windowing of any effects, MF intensities of <1, 1, 5, 10, 50 and 500 nT were employed. Male offspring were euthanized for post-mortem examination and wet organ weights were then taken. Analysis showed increased brain weight in 10 and 50 nT-treated groups, increased bodyweight in 50 nT-treated groups and suggested increased testicular weight in 5, 10 and 50 nT-treated groups. Few effects of NO modulation were evident in these rats, reinforcing the idea that these are short-term and reversible. These findings suggest that subtle long-term changes in organ structure can arise from developmental exposure to physiologically-patterned MFs.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score0.313

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 head0.014
GPT teacher head0.229
Teacher spread0.215 · 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
Published2008
Admission routes2
Has abstractyes

Explore more

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