Electroencephalogram(EEG)is a method of capturing the electrophy-siological signal of the brain.An EEG headset is a wearable device that records electrophysiological data from the brain.This paper presents the design ...Electroencephalogram(EEG)is a method of capturing the electrophy-siological signal of the brain.An EEG headset is a wearable device that records electrophysiological data from the brain.This paper presents the design and fab-rication of a customized low-cost Electroencephalogram(EEG)headset based on the open-source OpenBCI Ultracortex Mark IV system.The electrode placement locations are modified under a 10–20 standard system.The fabricated headset is then compared to commercially available headsets based on the following para-meters:affordability,accessibility,noise,signal quality,and cost.First,the data is recorded from 20 subjects who used the EEG Headset,and signals were recorded.Secondly,the participants marked the accuracy,set up time,participant comfort,and participant perceived ease of set-up on a scale of 1 to 7(7 being excellent).Thirdly,the self-designed EEG headband is used by 5 participants for slide changing.The raw EEG signal is decomposed into a series of band sig-nals using discrete wavelet transform(DWT).Lastly,thesefindings have been compared to previously reported studies.We concluded that when used for slide-changing control,our self-designed EEG headband had an accuracy of 82.0 percent.We also concluded from the results that our headset performed well on the cost-effectiveness scale,had a reduced setup time of 2±0.5 min(the short-est among all being compared),and demonstrated greater ease of use.展开更多
Metal and metalloid pollutants severely threatens environmental ecosystems and human health,necessitating effective remediation strategies.Nanoparticle(NPs)-based approaches have gained significant attention as promis...Metal and metalloid pollutants severely threatens environmental ecosystems and human health,necessitating effective remediation strategies.Nanoparticle(NPs)-based approaches have gained significant attention as promising solutions for efficient removing heavy metals from various environmental matrices.The present review is focused on green synthesized NPs-mediated remediation such as the implementation of iron,carbon-based nanomaterials,metal oxides,and bio-based NPs.The review also explores the mechanisms of NPs interactions with heavy metals,including adsorption,precipitation,and redox reactions.Critical factors influencing the remediation efficiency,such as NPs size,surface charge,and composition,are systematically examined.Furthermore,the environmental fate,transport,and potential risks associated with the application of NPs are critically evaluated.The review also highlights various sources of metal and metalloid pollutants and their impact on human health and translocation in plant tissues.Prospects and challenges in translating NPs-based remediation from laboratory research to real-world applications are proposed.The current work will be helpful to direct future research endeavors and promote the sustainable implementation of metal and metalloid elimination.展开更多
基金funded this work(DSR),King Abdulaziz University,Jeddah,Saudi Arabia,under grant no.(RG-18-130-43).
文摘Electroencephalogram(EEG)is a method of capturing the electrophy-siological signal of the brain.An EEG headset is a wearable device that records electrophysiological data from the brain.This paper presents the design and fab-rication of a customized low-cost Electroencephalogram(EEG)headset based on the open-source OpenBCI Ultracortex Mark IV system.The electrode placement locations are modified under a 10–20 standard system.The fabricated headset is then compared to commercially available headsets based on the following para-meters:affordability,accessibility,noise,signal quality,and cost.First,the data is recorded from 20 subjects who used the EEG Headset,and signals were recorded.Secondly,the participants marked the accuracy,set up time,participant comfort,and participant perceived ease of set-up on a scale of 1 to 7(7 being excellent).Thirdly,the self-designed EEG headband is used by 5 participants for slide changing.The raw EEG signal is decomposed into a series of band sig-nals using discrete wavelet transform(DWT).Lastly,thesefindings have been compared to previously reported studies.We concluded that when used for slide-changing control,our self-designed EEG headband had an accuracy of 82.0 percent.We also concluded from the results that our headset performed well on the cost-effectiveness scale,had a reduced setup time of 2±0.5 min(the short-est among all being compared),and demonstrated greater ease of use.
文摘Metal and metalloid pollutants severely threatens environmental ecosystems and human health,necessitating effective remediation strategies.Nanoparticle(NPs)-based approaches have gained significant attention as promising solutions for efficient removing heavy metals from various environmental matrices.The present review is focused on green synthesized NPs-mediated remediation such as the implementation of iron,carbon-based nanomaterials,metal oxides,and bio-based NPs.The review also explores the mechanisms of NPs interactions with heavy metals,including adsorption,precipitation,and redox reactions.Critical factors influencing the remediation efficiency,such as NPs size,surface charge,and composition,are systematically examined.Furthermore,the environmental fate,transport,and potential risks associated with the application of NPs are critically evaluated.The review also highlights various sources of metal and metalloid pollutants and their impact on human health and translocation in plant tissues.Prospects and challenges in translating NPs-based remediation from laboratory research to real-world applications are proposed.The current work will be helpful to direct future research endeavors and promote the sustainable implementation of metal and metalloid elimination.
