Publications by authors named "D N Deepika"

Background: Brain-computer interfaces (BCIs) offer a promising avenue for individuals with severe motor disabilities to interact with the world. By decoding brain signals, BCIs can enable users to control devices and communicate thoughts. However, challenges such as noise in EEG signals and limited data availability hinder the development of accurate and reliable BCI systems.

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Background: Toothbrushes are essential for eliminating dental biofilm and preventing caries and periodontal disease. Regular disinfecting is necessary to maintain a clean toothbrush. Chlorhexidine is the gold standard, but it may be resistant to periodontal pathogens.

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Groundwater samples were gathered from various sites adjacent to Manchanabele Reservoir and their uranium concentration was measured using a Light Emitting Diode (LED) fluorimeter. The results show that the uranium concentration varied widely from 0.2 to 358.

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Human biomonitoring (HBM) data indicate that exposure to pyrethroids is widespread in Europe, with significantly higher exposure observed in children compared to adults. Epidemiological, toxicological, and mechanistic studies raise concerns for potential human health effects, particularly, behavioral effects such as attention deficit hyperactivity disorder (ADHD) in children at low levels of exposure. Based on an exposure-response function from a single European study and on available quality-assured and harmonized HBM data collected in France, Germany, Iceland, Switzerland, and Israel, a preliminary estimate of the environmental burden of disease for ADHD associated with pyrethroid exposure was made for individuals aged 0-19 years.

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Article Synopsis
  • * The study presents a hybrid deep learning model combining capsule attention with convolutional and bidirectional gated recurrent units for accurate classification of mental tasks from EEG data.
  • * Using advanced processing techniques and optimization methods, the proposed model achieved a classification accuracy of 97.87%, outperforming existing techniques in various performance metrics.
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