With an increased urbanization and climate change, the instances of mosquito-borne diseases are on rise leading to risk of epidemics, thus necessitating an effective method towards tackling. Recent advancements in the electrostatic fields have been in discussion for the control of mosquitoes. This study thus investigates the electrostatic charge on mosquitoes using a bespoke device. The charge on a single mosquito was determined to be 52 picocoulomb (pC). The method for charge determination was validated for commercial usage using the parameters specificity, limit of detection (LOD), limit of quantitation (LOQ), linearity, precision and robustness. The method was found to be sensitive and reliable; however, it may not fully capture the electrostatic characteristics of mosquitoes as occurring in natural conditions. Data generated for static charge of mosquitoes was used with a proprietary aerosol technology developed by Reckitt where charge attraction between aerosol droplets and flying mosquitoes was used for a better efficacy against the standard market aerosol available. Determination of charge on the mosquitoes forms the stepping stone for advancement of entomological research and development of effective insect control strategies.

This study aimed to examine the impacts of extremely low-frequency (ELF)-electromagnetic field (EMF) on cognitive functions and analgesia in terms of total oxidant status (TOS) and total antioxidant status (TAS) in the experimental pentylenetetrazole (PTZ)-induced epilepsy model. Twenty-four Wistar albino male rats were categorized into four groups: sham, EMF, PTZ, and EMF+PTZ. The rats were repeatedly exposed to alternating 50-Hz and 5-mT EMF for 165 min a day for 7 days. Epileptic seizures were induced with PTZ. The levels of oxidative stress markers were measured. Univariate multifactorial one-way analysis of variance and post hoc Tukey's test were used for pairwise comparisons between groups. A statistically significant difference was observed in the learning and short-term memory levels in the EMF + PTZ group compared with the PTZ group ( < 0.001). Analgesia latency statistically significantly increased in the ELF-EMF and ELF-EMF+PTZ groups compared with both the control and epilepsy groups ( < 0.001). A statistically significant increase in TOS was found in the prefrontal cortex in the PTZ group compared with the sham group ( < 0.001). Also, TOS statistically significantly increased in the hippocampus in both PTZ and ELF-EMF+ PTZ groups compared with the sham group ( < 0.001). ELF-EMF decreased the increased TOS in the hippocampus of rats in the PTZ group.

The present research examines the peristaltic blood flow by applying double diffusive convection confined in a non-uniform channel. The purpose is to study the impact of thermal radiation along with induced magnetic force utilizing the supposition of long wavelength and low Reynolds number. The study covers the impact of thermal radiation and double diffusion which has significant implementation in the public health sector. Moreover, the induced magnetic flux, used in Magnetic Resonance Imaging, is for diagnostic purposes in medicines and in therapies. Thermal radiation impact has been revealed under non-linearized Rosseland assumptions. The basic equations are first designed to simulate and then simplified using appropriate non-dimensional components. The resultant equations are numerically solved to evaluate the solution of pressure gradients, velocity, solute concentration, raise pressure, and nanoparticle volume fraction. The effectiveness of different emerging factors defining non-Newtonian hydrodynamic flow, such as the radiation parameter, Prandtl number, Hartmann number, Eckert number, particle volume fraction, electric field, and non-uniform parameter, is graphically demonstrated. The findings reveal the significant impact of Brinkman number on the temperature of the fluid. Thermal diffusion or conductivity increases with the rise in Brinkman number, and consequently the fluid's temperature increases. On the other hand, the decline in the concentration of the fluid is observed with increased Brinkman number. In addition, an increase in Soret and Dufour numbers also enhances the thermal diffusion and temperature which ultimately raises the fluid temperature. Heat radiation directly affects the concentration causing it to increase.

With the rapid development of communication technology, the potential health risk of electromagnetic radiation (EMR) to the nervous system has aroused widespread concern. This study systematically reviews the research progress in the field of EMR-neurological interactions during 2013-2024, revealing its research hotspots and future trends. Based on WOS database, this study adopts bibliometric method combined with visualization technology for multidimensional analysis. The construction of visual maps of countries, institutions, authors, keywords and other elements is realized through CiteSpace and VOSviewer software, which systematically reveals the developmental lineage and knowledge structure of the research field. The study reveals that the field has been growing continuously, with China, Iran and the United States as the core research countries, the Chinese Academy of Military Medical Sciences and other organizations contributing prominently, and Environment International leading the list with an impact factor of 21.90. High-frequency keywords include "adolescents,"hippocampus" and "synaptic plasticity", reflecting the focus of research on neurodevelopmental and functional impairments. The study points out that although the mechanism of the neurological effects of electromagnetic radiation has been achieved, its molecular mechanisms and therapeutic interventions still need to be further explored. This study provides a systematic reference for scholars around the world, helps to promote the development of the field of neural effects of electromagnetic radiation, and provides a scientific basis for public health protection.

This study evaluates the protective potential of carbon fibre-reinforced polymer (CFRP) shielding against the adverse effects of 1800 MHz electromagnetic radiation (EMR) from mobile phones on male reproductive indicators in Wistar rats.

Epidemiological studies suggest an association between exposure to electromagnetic fields (EMFs) and an increased incidence of malignant, cardiovascular, and neurodegenerative diseases. This study aims to elucidate the fundamental principles and plausible mechanisms by which EMFs may influence physiological and pathological processes that lead to disease development.

It is of great importance to study the biological effects of terahertz (THz) waves on human cancer cells for their potential future applications in cancer therapy. However, only a few examples of distinct biological effects have been reported due to the lack of strong THz radiation sources. Here, we report our preliminary investigation using a strong THz source at 1.56 THz with an average power of ~ 10 W and an average intensity of ~129.1 mW/cm working at a repetition rate of 10 Hz for its macro pulses with duration of ~1 ms and micro pulse duration of ~ 1 ps at a repetition rate of 54.17 MHz from a THz free-electron laser to investigate its biological effects on breast cancer cells in vitro. We observed significant morphological changes in breast cancer cells after 2 hours irradiation and apoptosis after 3 hours irradiation. Most notably, after 4 hours irradiation, we observed obvious cytolysis and the disappearance of most breast cancer cells in the center of the THz beam spot. It is suggested that these biological effects could be attributed mainly to the non-thermal effect of the strong THz waves according to our separate experimental results on the morphological changes of the breast cancer cells induced solely by heat. Our results indicate the potential to leverage the apoptosis and cytolysis of cancer cells induced by strong THz waves for future cancer treatment applications.

The aim of this study is to investigate the thyroid status of offspring exposed to prenatal 2.45 GHz radiofrequency radiation (RFR). In this study, which is the second phase of our previous study, the thyroids of rats exposed to prenatal 2.45 GHz RFR were examined one year after birth. The mothers of the offspring in the experimental group ( = 8) were exposed to 2.45 GHz RFR (whole-body specific absorption rate (SAR): 12 mW/kg; maximum point SAR: 25 mW/kg) 24 hours per day throughout pregnancy. The mothers in the sham group ( = 8) were kept under the same experimental conditions except for RFR exposure. The offspring in this study were not exposed to RFR after birth and continued their daily lives for one year. When the offspring reached one year of age, they were sacrificed and their thyroids were removed and evaluated. Mann-Whitney U and t tests were used for statistical analysis. Increases in fibrosis ( = 0.038), atypical thyrocytes ( = 0.002) and degenerated follicles ( = 0.007) and colloid reduction ( = 0.002) were found to be significant in the experimental group compared to the sham group. However, the increase in the percentage of apoptosis positive cells ( = 0.006) and H2A.X antibody levels ( = 0.007) showed a statistically significant difference in the experimental group compared to the sham group. This study provides evidence that prenatal exposure to 2.45 GHz RFR can induce persistent histological changes, increase apoptosis, and cause DNA double-strand breaks in thyroid tissue observed one year after birth. These results underscore the importance of further long-term studies to assess developmental risks associated with prenatal RFR exposure.

This research paper presents an artificial intelligence (AI) framework to predict magnetized penta-nanoparticle-enhanced Jeffrey blood flow dynamics in a catheterized electrified arterial annulus. The work addresses critical gaps in modeling non-Newtonian blood rheology with multi-physics interactions. Employing Jeffrey's fluid model to encapsulate the non-Newtonian rheological properties of blood mixed with nanoparticles. This analysis combines diverse factors influencing heat sources, Joule heating, interfacial nanolayers, and porous media drag. The flow system is streamlined via lubrication theory and Debye-Hückel linearization and then solved using homotopy perturbation method (HPM). Visualization of indispensable flow metrics is conducted using tools in Mathematica and Matlab. Computational results indicate electro-osmotic forces significantly alter the streaming patterns of penta-hybrid nanoparticle-infused blood in catheterized arterial geometry. Blood temperature lowers in the catheterized regions for the expanded thickness of nanolayer, and the axial blood pressure gradient elevates with an upsurge in the electro-osmotic factor while wall shear stress (WSS) abates. Heat transfer coefficient (HTC) improves with thicker nanolayers. AI-driven artificial neural network (ANN) model achieves 97-100% accuracy in predicting WSS and HTC. The research findings highlight potential improvements in patient-specific treatment strategies and contribute to the broader field of biomedical engineering by enhancing the efficacy and precision of non-invasive therapies.

Deep transcranial magnetic stimulation (DTMS) has been increasingly used to treat neurological disorders in recent years. However, owing to the complicated configuration of DTMS coils, such as the H1 coil, the electric field induced by it in the personalized human brain is so varied and complex that its transcranial magnetic stimulation performances, especially focusing behavior and depth characteristics, have to be studied and evaluated further before clinical application. Therefore, besides the effects of the excitation frequency of the H1 coils, two types of magnetic shielding blocks (MSBs) with various dimensions were analyzed, and the H1 coil circuit structure with flexible length adjustment and its coil spacing were also investigated in this study. Finally, a machine learning model based on an optimizable tree algorithm was established to rapidly predict the induced electric field in the personalized human brain. Results demonstrated that the half-value depth of the electric field induced by the H1 coil could reach 3.67 cm, which was deeper than that by the figure-of-eight (FOE) coil (<1.6 cm), but its focusing (half-value) volume was 567.94 cm, larger than that of the FOE coil. After introducing MSBs, reasonably adjusting the coil circuit length and the coil spacing, was reduced to 81.748 cm, with a slight increase in . The proposed machine learning model exhibited a good prediction performance ( = 0.99, etc.) and only took about 0.014 s to finish predicting the induced electric field in the personalized human brain for rapidly evaluating the H1 coil performance in clinical practices.

Effect of millimeter range electromagnetic waves (MM EMW) with the frequency 51.8 GHz on the interaction of DNA-specific ligands-intercalators acridine orange (AO) and methylene blue (MB) with bovine serum albumin (BSA) has been studied. The measurements were implemented by the spectroscopic methods that open new opportunities for such goals. The methods of absorption, differential and fluorescence spectroscopies were applied. The obtained data permit revealing several peculiarities of MM EMW effect on the interaction of these ligands with BSA, as well as possible sites and modes for the binding. AO and MB were found out to bind to BSA by two modes, moreover, under the effect of MM EMW, one of these modes for MB disappears. The values of the quenching constant - K were determined for the types that compose 4.7⋅10 and 9.2⋅10 L/mole for non-irradiated and 4.6⋅10 and 11.0⋅10 L/mole for irradiated complexes AO-BSA, respectively. For the non-irradiated complexes MB-BSA the values of K were equal to 4.0⋅10 and 0.87⋅10 L/mole, respectively. Because of the irradiation, the first type of the binding disappears, while for the second type the value 0.43⋅10 L/mole was obtained. It was also revealed that MM EMW invokes structural transformations in BSA molecule that touch those sites to which AO and MB bind. Moreover, for AO it results in an increase of preferable binding to this site; though, for MB, vice versa, it leads to the disappearance of stronger (specific) binding mode, while the electrostatic interaction appears for both non-irradiated and irradiated protein.

Low-induction variable magnetic fields are widely used in various fields of medicine. However, it is worth raising the issue whether treatments using low-induction variable magnetic fields applied to patients can affect the condition of tattooed skin.

A Static Magnetic Field in the form of a permanent magnet was applied to participants in an investigational protocol to determine the toxicity and safety profile of the magnetic field in participants receiving antineoplastic chemotherapy for advanced cancer. The magnet was placed 15 minutes prior to starting the antineoplastic chemotherapy and then remained in place for three levels following completion of the therapy for 0, 15, and 30 minutes. The data showed that overall, the presence of a static magnetic field could be applied safely to individuals receiving antineoplastic chemotherapy for advanced cancer, and for participants in the Level 3 Group (magnet applied for 30 minutes), there was a statistically significant decrease in toxicity compared to matched controls. We were not able to determine if the static magnet field had an effect on survival. Our data suggests that applying a static magnetic field to individuals receiving antineoplastic chemotherapy for advanced cancer is safe and may, under certain parameters, decrease the toxicity of the therapy. Further studies should be conducted.

Cardiovascular implantable electronic devices (CIEDs), including cardiac pacemakers and implantable cardioverter-defibrillators, are extensively utilized across diverse patient populations. These devices are susceptible to electromagnetic interference (EMI), which may result in functional disturbances such as pacing inhibition, misinterpretation of extraneous signals as intrinsic cardiac activity, or inappropriate mode switching. Neodymium-iron-boron (NdFeB) magnets, known for their high magnetic flux density, are commonly employed in various industrial and consumer applications. This case report highlights a previously undocumented source of EMI-namely, the magnet embedded in lawn bowling equipment-and its potential to disrupt CIED functionality. The underlying mechanism of interference is examined, and recommendations for risk mitigation and patient safety are proposed.

Epidemiological studies have found an association between occupational exposure to low frequency magnetic fields and the occurrence of motor neuron disease and Alzheimer's disease. No association has been found for Parkinson's disease and the evidence for multiple sclerosis is insufficient. Animal models studying the effects of low frequency magnetic fields on neurodegenerative disease induction or progression could provide more evidence on causation and the underlying mechanisms. A systematic search and review was conducted of peer-reviewed research articles involving animal experiments on the effects of low frequency magnetic field exposure on behavioural and neuroanatomical outcomes relevant for neurodegenerative diseases in humans. Firstly, experimental studies in do not support a causal relationship between exposure to low frequency magnetic fields and the induction of neuropathology relevant for Alzheimer's disease, but the number of studies relevant for motor neuron disease, multiple sclerosis and Parkinson's disease is too limited to draw conclusions. Secondly, experimental studies in support a therapeutic (beneficial) effect of low frequency magnetic field treatment on behavioural and neuroanatomical abnormalities relevant for dementia (including Alzheimer's disease), multiple sclerosis and Parkinson's disease and no effect on disease progression in models relevant for motor neuron disease.

To better understand the developments and trends of studies on the health impacts of 5th Generation (5 G) antennas, a bibliometric analysis of the literature published in the Web of Science database from 2012 to 2025 was conducted. Before the analysis, the dosimetric quantities "specific absorption rate (SAR)" and "power density (Sab)" used in the examination of the health impacts of antennas were thoroughly defined, and their required limits were provided. Subsequently, information visualization technology was utilized to investigate the yearly distribution of literature, author contributions and collaboration, productive and influential institutions and countries/territories, co-citation analysis, and keyword co-occurrence. However, anticipated publication and citation numbers for the coming years (2025-2029) were predicted regarding the potential health impacts of 5 G antennas using artificial intelligence-assisted forecasting methods. There has been a considerable increase in studies related to health impacts measured by SAR and Sab dosimetric quantities over the last five years, in line with the number of articles published on 5 G antennas. Despite this, no bibliometric analysis has been done so far on the health impact of 5 G antennas below and above 6 GHz. The data presented in this bibliometric study to fill the gap on this subject will provide a better understanding of the health impacts and unique insights to offer good research guidance on 5 G antennas and their attributed adverse health impacts.

The aim of this study is to investigate the potential synergistic effects of agomelatine(AGM) and 2600 MHz radiofrequency(RF) field exposure on inflammation induced by chronic lipopolysaccharide(LPS) administration in rats. A total of 49 female Wistar albino rats were randomly divided into 7 groups( = 7 per group): Control, Sham, LPS, LPS+AGM,LPS+RF,AGM+RF, and LPS+AGM+RF. Animals in the RF groups were exposed to a 2600 MHz field (1 h/day for 15 days). The whole-body averaged SAR was calculated to be 0.637 W/kg, while the localized SAR values were found to be 1.27 W/kg for 1 g and 0.91 W/kg for 10 g of brain tissue at a frequency of 2600 MHz. Chronic LPS administration(1 mg/kg/day for 15 days) successfully induced a systemic inflammatory state. The most significant finding was observed in plasma IL-6 levels. While AGM or RF exposure alone did not significantly alter IL-6 levels in LPS-treated animals, the combined treatment of LPS+AGM+RF resulted in a substantial and statistically significant decrease in plasma IL-6 compared to the sham group( < 0.001). This represents a large-magnitude effect (Cohen's d = 1.59), suggesting a potent anti-inflammatory action of the combined therapy. In contrast, plasma IL-1β and TNF-α levels showed no statistically significant differences among any of the groups. In the hypothalamus, chronic LPS exposure was associated with a downregulation of MAP kinase signaling pathways (ERK, JNK), indicative of endotoxin tolerance, and with reduced NF-κB level. This study provides novel evidence that 2600 MHz RF, when combined with AGM, may exert a powerful anti-inflammatory effect, highlighting a potential therapeutic interaction that warrants further investigation.

Given the ubiquitous presence of radiofrequency (RF) radiation sources in modern environments, concerns have been raised regarding their cytotoxic effects on osteoblasts and potential implications for skeletal health. This study investigated the molecular mechanisms underlying these effects, focusing on ferroptosis, a form of regulated cell death implicated in bone pathologies, and the role of Activating Transcription Factor 4 (ATF4). Through comprehensive bioinformatic analyses of public gene expression databases, we identified significant correlations between differentially expressed genes and biological processes associated with lipid metabolism and ferroptosis. MC3T3-E1 osteoblasts were subjected to systematic evaluation under four distinct experimental conditions: a sham-exposed control group and three treatment groups exposed to calibrated RF radiation intensities - low (LRF, 50μW/cm), moderate (MRF, 150μW/cm), and high (HRF,450μW/cm). To elucidate the molecular mechanisms underlying RF-induced ferroptosis, both ATF4 knockdown and overexpression experiments were performed. The findings indicated that RF radiation at 150μW/cm elicited the most pronounced effects, characterized by reduced osteoblast viability, elevated lipid peroxidation, disrupted redox balance, impaired mitochondrial function, and disturbances in iron homeostasis. Notably, knockdown exacerbated these deleterious effects, while its overexpression conferred protection against RF radiation-induced cellular damage. This study demonstrates the crucial role of ATF4 modulation in RF radiation-induced ferroptosis in osteoblasts, a process potentially contributing to bone disorders such as osteoporosis and impaired fracture healing. These findings suggest that targeting ATF4 may represent a promising therapeutic approach to mitigate the effects of RF radiation on bone health, thereby opening new avenues for intervention in environmentally influenced skeletal disorders.

High power microwaves (HPMs), characterized by frequencies spanning from 1 GHz to 300 GHz and peak power exceeding 100 MW, have numerous applications but also pose considerable health hazards. This review discusses the biological effects of HPMs on various human and animal cells, tissues, organs, and systems. Notably, HPMs can damage brain structures, particularly the hippocampus, causing oxidative stress and DNA damage, which in turn contribute to cognitive impairment. The immune system is subject to dual effects from HPMs, exhibiting both stimulatory and suppressive immune responses contingent on the specifics of exposure details. In the reproductive system, HPMs are observe to diminish male fertility by interfering with spermatogenesis and semen quality, although antioxidants may mitigate these effects. Furthermore, HPMs may exacerbate skin conditions, such as atopic dermatitis, and potentially accelerate the onset of skin cancer. With regard to cardiovascular health, these effects are usually transient, mainly affecting blood pressure and heart rate, but ultimately not impairing them. Furthermore, HPMs in agricultural production, sterilization and other beneficial effects have been found. This review provides valuable references for the investigation of the biological effects and the underlying mechanisms of HPM, as well as for the revision of related standards and guidelines.

This work investigates the electroosmotic peristaltic transport of a Casson (blood)-based hybrid nanofluid via an asymmetric channel embedded inside a porous medium. The model takes into consideration electric and magnetic field effects, Ohmic heating, as well as velocity and thermal slip conditions. The governing equations are simplified and solved by employing unsupervised sigmoid-based neural networks (SNNs), Fibonacci-based neural networks (FNNs), and their hybrid model (FSNNs) under the assumptions of low Reynolds number and long wavelength. Furthermore, a comparative analysis is conducted among SNNs, FNNs, and FSNNs to evaluate their performance. The results reveal that the FSNNs demonstrate superior accuracy and stability compared to the other models. The results show that the temperature rises with larger values of the Grashof number, Brinkman number, and heat source/sink parameter, while lowers with higher values of Casson parameter, porosity factor, and velocity slip parameter. The pressure gradient grows with increasing , , and but decreases as Hartmann number increases. This study sheds light on the design of efficient microfluidic, biomedical, and thermal management systems, emphasizing the role of electromagnetic modulation and hybrid nanofluids in improving performance and control.

Subject-independent emotion detection using EEG (Electroencephalography) using Vibrational Mode Decomposition and deep learning is made possible by the scarcity of labelled EEG datasets encompassing a variety of emotions. Labelled EEG data collection over a wide range of emotional states from a broad and varied population is challenging and resource-intensive. As a result, models trained on small or biased datasets may fail to generalize well to unknown individuals or emotional states, resulting in lower accuracy and robustness in real-world applications. A Node-Level Capsule Graph Neural Network (NCGNN) is then used to correctly recognize emotions like calm, happy, sad, and furious based on the features that have been collected. Generally speaking, the NCGNN classifier does not provide optimization techniques for adjusting parameters to ensure precise emotion recognition. Hence, propose to utilize the Piranha Foraging Optimization Algorithm (PFOA) to enhance Node-Level Capsule Graph Neural Network, accurately categorize the emotion level. Then, the proposed NLCGNN-SIER-EEG is excluded in Python and the performance metrics like Recall, Accuracy, Precision, Specificity, F1 score and RoC. In the end, the performance of NLCGNN-SIER-EEG technique provides 19.57%, 24.37% and 34.15% high accuracy, 22.12%, 26.82% and 28.52% higher Precision and 23.26%, 28.17% and 29.43% higher recall while compared with existing like Subject-independent emotion recognition based on EEG data using VMD and deep learning (SIER-EEG-VMD-DL), Emotion recognition system based on two-level ensemble of deep-convolutional neural network models (ERS-TLE-DCNN), and human emotion recognition based on EEG data using principal component analysis and artificial neural networks (EEH-HER-ANN), respectively.