This dosimetry intercomparison evaluated epithelial/absorbed power density and temperature rise in two high-resolution anatomical human face models under localized antenna exposures at 10 and 30 GHz. The study reports a statistical correlation between spatially averaged absorbed power density and temperature rise when appropriate averaging is applied. Antenna type/configuration was identified as the dominant contributor to variability, exceeding differences from averaging methods or anatomical models.

This review synthesizes evidence on how direct current and alternating current electrical stimulation affect neurons and glia in the central nervous system, spanning basic research and clinical translation. It reports polarity- and parameter-dependent effects on axonal growth, along with immunomodulatory glial responses that may favor regeneration and enhanced myelination via OPC differentiation. The authors note early clinical applications with potential longer-term functional improvements, while emphasizing that stimulation parameters and patient context can influence risks and benefits.

This exposure-assessment study proposes and validates a method to measure instantaneous RF exposure under typical base station load by generating defined data rates (low/medium/high) using iPerf and measuring channel power across services. Validation at four base stations suggests the approach is reliable across different times of day and loads, with reproducible results when averaging over 30 sweeps. Comparisons indicate iPerf-provoked constant data rates generally match exposure during real application usage, with few deviations beyond stated uncertainty.

No abstract is available in the provided material. From the title, the article appears to defend or affirm the methodological rigor and reliability of evaluations in the authors' systematic review on RF-EMF exposure and animal cancer. Specific results regarding carcinogenic effects are not stated in the provided text.

This exposure/compliance assessment study collected 5- and 30-minute transmitted power data over one month from more than 400 5G FR2 beamforming base stations in urban Japan to evaluate the IEC 62232:2025 “actual maximum approach.” All measured transmitted powers were below configured maxima, with 30-minute averaged normalized maxima reported as < -8 dB, while 5-minute averaged maxima reached about -3 dB under low UE counts. The authors report that the actual maximum approach can avoid overestimation for longer averaging times, but may underestimate exposure for stations with three or fewer UEs if power is not monitored and controlled.

This exposure assessment study compared RF-EMF measurements averaged over 1, 6, and 30 minutes using contiguous 1-minute data collected over 30 minutes at four indoor/outdoor sites across 15 frequency bands. Relative deviations between shorter averaging times and 30-minute averages were largely within ±3 dB. However, statistical comparisons of overall exposure variability between 1- or 6-minute and 30-minute averaging produced inconsistent results, with broadcast and most mobile services <2 GHz appearing broadly similar between 1- and 6-minute averaging.

This exposure-assessment study proposes a Voronoi-diagram approach to visualize RF-EMF exposure across a city using personal exposimeter measurements of RMS electric field at seed points. Most mapped areas corresponded to about 1.9 V/m, with a maximum reported value of 11.4 V/m, all below the cited ICNIRP guideline level. The authors conclude the method is useful for communicating spatial variability, while also noting broader literature discussing potential health risks from EMF exposure.

This engineering/monitoring paper describes enhancements to the Serbian EMF RATEL system, which has continuously monitored RF-EMF since 2017, by adding drive test functionality to improve spatial coverage. The authors report preliminary quantitative drive test measurements and validation of the upgraded approach. The work emphasizes that characterizing spatial and temporal RF-EMF patterns can support exposure assessment relevant to public health risk evaluation.

This paper presents a traceable experimental dosimetry method to measure absorbed power density (APD) from body-mounted wireless devices at frequencies above 10 GHz. It combines a miniaturized broadband probe, a composite skin-equivalent phantom, and reconstruction/calibration procedures, with validation using reference antennas. The approach is reported as validated for 24–30 GHz and extendable to 10–45 GHz, supporting regulatory-type testing aligned with international safety standards.

This viewpoint reports results from a pilot questionnaire survey of 142 self-declared EHS/IEI-EMF individuals and argues that current evidence and tools do not allow a definitive medical diagnosis of sensitivity to low-level wireless radiation. It notes that many reported diagnoses appear anecdotal and that tests used lack scientific proof for detecting such sensitivity. The article also considers individual sensitivity plausible and calls for controlled provocation and biochemical studies to develop diagnostic biomarkers.

This exposure-assessment study compares RF-EMF exposure maps produced using a broadband meter versus a personal exposimeter and aims to correct personal exposimeter readings to match broadband-based maps. The authors report that LOS/NLOS-specific correction factors reduce discrepancies, particularly improving LOS measurements affected by body shielding. A genetic algorithm is used to optimize correction factors and support scalable urban exposure mapping, with the authors noting that additional validation in other environments is needed.

This paper presents a machine-learning method to estimate ground-level electromagnetic radiation (electric field strength) in the near field of 5G base stations, using multiple technical and environmental input parameters. The authors report experimental performance with a mean absolute percentage error of about 5.89% and suggest the approach can reduce costs compared with on-site measurements. The work is positioned as supporting exposure management and base-station placement, while noting the need for careful EMF management due to potential health-risk links.

This paper applies a model-based clustering approach (Log-Normal Mixture Model) to continuous RF-EMF monitoring data from the Serbian EMF RATEL network in Novi Sad to characterize temporal exposure patterns. The analysis reports separation of night versus day exposure values and identification of daytime periods where exposure persists longer. The work is positioned as supporting improved understanding of when and where elevated exposures occur in urban environments.