A strong evidence of the effects of radiation absorption on the living community together with a better solution to reduce the radiation intensity without compromising the usage of wireless communication systems is presented. This study analyses the radiation effects on living things and validates the proposed techniques for specific absorption rate (SAR) value reduction at 2.45 GHz. To reduce these radiation impacts on the living community, proper shielding from the radiation and effectively reorienting antenna radiation patterns are the solutions suggested. An analogous antenna configuration in wireless communication systems - a coplanar waveguide fed loop antenna is considered and an open loop resonator (OLR) optimized in ANSYS HFSS at 2.45 GHz is incorporated on the back side of the proposed antenna for achieving SAR value reduction. Theoretical and experimental validation is carried out by measuring the variation in absorption power on each vegetable sample using vector network analyzer E5080A. The existence of OLR on the back side of the antenna reduces the absorption power upto 2 dB. From experimental validation, the proposed technique provides 88% to 98% reduction in SAR value when tested in each sample. Along with this OLR exhibits the capability to enhance the shielding characteristics to the controlled environment of experimental setup for analyzing the stages of seed germination, which helps in reducing the reported radiation effects and growth retardation. The proposed method of EMR reduction with miniaturized planar resonator can be effectively used in the communication systems operating at 2.45 GHz for creating a reduced radiation environment.
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http://dx.doi.org/10.1080/15368378.2022.2046048 | DOI Listing |
Nanoscale Adv
December 2024
School of Electronics and Communication Engineering, Quanzhou University of Information Engineering Quanzhou Fujian China
The large amounts of attention directed towards the commercialization of renewable energy systems have motivated extensive research to develop non-precious-metal-based catalysts for promoting the electrochemical production of H and O from water. Here, we report promising technology, , electrochemical water splitting for OER and HER. This work used a simple hydrothermal method to synthesize a novel CoTe-FeC nanocomposite directly on a stainless-steel substrate.
View Article and Find Full Text PDFFront Neuroinform
December 2024
Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy.
Introduction: Modeling multi-channel electroencephalographic (EEG) time-series is a challenging tasks, even for the most recent deep learning approaches. Particularly, in this work, we targeted our efforts to the high-fidelity reconstruction of this type of data, as this is of key relevance for several applications such as classification, anomaly detection, automatic labeling, and brain-computer interfaces.
Methods: We analyzed the most recent works finding that high-fidelity reconstruction is seriously challenged by the complex dynamics of the EEG signals and the large inter-subject variability.
PCN Rep
March 2025
Division of Mental Health and Wellbeing Western Health Melbourne Victoria Australia.
Medical contraindications and complications pose challenges for electroconvulsive therapy (ECT). Most published reports are scattered across various physiological systems and individual disease conditions. This review aimed to evaluate the literature on physiological and medical complexities during ECT and discuss risk mitigation strategies in a comprehensive review.
View Article and Find Full Text PDFNpj Health Syst
December 2024
Center for Interventional Oncology, Clinical Center, National Institutes of Health (NIH), Bethesda, MD USA.
Artificial intelligence (AI) methods have been proposed for the prediction of social behaviors that could be reasonably understood from patient-reported information. This raises novel ethical concerns about respect, privacy, and control over patient data. Ethical concerns surrounding clinical AI systems for social behavior verification can be divided into two main categories: (1) the potential for inaccuracies/biases within such systems, and (2) the impact on trust in patient-provider relationships with the introduction of automated AI systems for "fact-checking", particularly in cases where the data/models may contradict the patient.
View Article and Find Full Text PDFIran J Public Health
December 2024
Centre for Clinical Pharmacology, Military Medical Academy, Belgrade, Serbia.
Background: According to World Health Organisation data, on the top ten causes of death in the world in 2019, ischemic heart diseases ranked first, followed by stroke and chronic respiratory diseases. This study aimed to make cross-section of the current mortality rates of indicators of circulatory diseases, ischemic heart diseases and cerebrovascular diseases, access the trends of indicators in Serbia more than two decades and to find the correlation of these observed indicators between males and females.
Methods: Medical indicators were taken from the publicly available Health for all databases that deals with long-term evaluation and monitoring of indicators obtained from national authorities.
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