Evidence map›Paper›PMID 34660514›Full record

ArticleFrontiers in public health2021

Electromagnetic Exposure Dosimetry Study on Two Free Rats at 1.8 GHz via Numerical Simulation.

Xianghui Wang, Chengjie Xia, Lu Lu, Hongxin Qi, Jie Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xianghui WangShanghai Key Laboratory of Magnetic Resonance & Biophysics Lab, School of Physics and Electronic Sciences, East China Normal University, Shanghai, China.
Chengjie XiaShanghai Key Laboratory of Magnetic Resonance & Biophysics Lab, School of Physics and Electronic Sciences, East China Normal University, Shanghai, China.
Lu LuShanghai Key Laboratory of Magnetic Resonance & Biophysics Lab, School of Physics and Electronic Sciences, East China Normal University, Shanghai, China.
Hongxin QiShanghai Key Laboratory of Magnetic Resonance & Biophysics Lab, School of Physics and Electronic Sciences, East China Normal University, Shanghai, China.
Jie ZhangShanghai Key Laboratory of Magnetic Resonance & Biophysics Lab, School of Physics and Electronic Sciences, East China Normal University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Normally, the impact of electromagnetic exposure on human health is evaluated by animal study. The biological effect caused by electromagnetic exposure on such experimental animals as rats has been proven to be dose-dependent. However, though the dose of radio frequency (RF) electromagnetic exposure described by the specific absorbing rate (SAR) on fixed rats has been relatively well-studied utilizing the numerical simulations, the dosimetry study of exposure on free rat is insufficient, especially in the cases of two or more free rats. Therefore, the present work focuses on the variation of SAR caused by the existence of neighboring free rat in the same cage. Here, infrared thermography was used to record the activity of the two free rats who lived in the same cage that mounted at the far-field region in the microwave darkroom for a duration of 48 h. Then, using image processing techniques, the relative positions and orientations of the two rats are identified, which are defined by three parameters, such as the relative distance (

Indexed as

RadiometryRadio WavesAnimalsComputer SimulationElectromagnetic RadiationMicrowavesRatselectromagneticsexposure dosefree ratsnumerical simulationrelative posture position

Identifiers

PMID34660514
PMCPMC8514833

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.