There is a need for non-pharmaceutical intervention methods that can prevent and indicate the risk of airborne disease spread. In this study, we developed a nonwoven mat based on the polyphenol gallic acid, which can ...
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Purpose: This study aimed to analyze the fluoride concentrations in different dentifrices with antimicrobial and natural molecules marketed in Brazil. Thus, 12 dentifrices were selected to be analyzed for th...
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Continuous positive airway pressure (CPAP) is an effective therapy for obstructive sleep apnea. Although the controlled variable in CPAP devices is pressure, flow measurement can supplement monitoring of therapy effec...
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MecLung is a mechanical simulator. It consists of a metal cylinder provided with a tight piston controlled by a motor and programmed to simulate resistances and compliances of the human respiratory system. Additionall...
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mRNA vaccines have emerged as promising alternative platforms to conventional *** ease of production,low cost,safety profile and high potency render them ideal candidates for prevention and treatment of infectious dis...
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mRNA vaccines have emerged as promising alternative platforms to conventional *** ease of production,low cost,safety profile and high potency render them ideal candidates for prevention and treatment of infectious diseases,especially in the midst of *** challenges that face in vitro transcribed RNA were partially amended by addition of tethered adjuvants or co-delivery of naked mRNA with an adjuvanttethered ***,it wasn’t until recently that the progress made in nanotechnology helped enhance mRNA stability and delivery by entrapment in novel delivery systems of which,lipid *** continuous advancement in the fields of nanotechnology and tissue engineering provided novel carriers for mRNA vaccines such as polymeric nanoparticles and *** studies have shown the advantages of adopting mRNA vaccines for viral diseases and cancer in animal and human ***-amplifying mRNA is considered today the next generation of mRNA vaccines and current studies reveal promising *** review provides a comprehensive overview of mRNA vaccines used in past and present studies,and discusses future directions and challenges in advancing this vaccine platform to widespread clinical use.
The ventricular tachyarrhythmia is an important cause of sudden cardiac death, impacting economic, social, and health systems. Microvolt T-wave alternans (MTWA) represent transmural gradient alternation in phase-3 ven...
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The authors regret to report that the images for panels h (Plain PDMS) and I (MCF7-imprinted PDMS) in Fig. 3 were mistakenly taken from the same dataset, resulting in the omission of the correct image in panel h for t...
This study introduced a capacitive sensing interactive game platform aimed at promoting emotional stability, which we have named the 'Sunrise and Sunset' game. This game primarily consists of two pieces of reg...
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We have developed a handheld 1,024-element large area 2D array probe integrated with high voltage multiplexing ASIC modules with row-multiplexed imaging in orthogonal azimuthal and elevational planes with image data c...
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Development of Brain Computer Interface (BCI) has been rapid since the mid 1990‘s. There are three criteria for BCI, (i) comfortability and possession of a suitable signal acquisition device, (ii) system validation a...
Development of Brain Computer Interface (BCI) has been rapid since the mid 1990‘s. There are three criteria for BCI, (i) comfortability and possession of a suitable signal acquisition device, (ii) system validation and dissemination, and (iii) reliability and potentiality. As there are no BCI possessing the optimal criteria, it was essential to consider building a new one. Thereby, the paper investigates building BCI based on the utilization of EEG signals to translate brainwave patterns into actionable commands. The primary objective is to enhance communication capabilities for individuals afflicted with neurological disorders, empowering them to command external devices and engage more effectively with their surroundings. We built our model on EEG online dataset for the purpose of feature extraction and classification. Statistical features and Discrete Wavelet Transform (DWT) have been applied for feature selection. Multi-Layer Perceptron (MLP) and Radial Basis Function (RBF) were the classifiers involved. Results showed that the proposed architecture of MLP and RBF were able to classify the EEG signals into two classes (open eye and closed eye). Results also showed that the proposed approach, which is based on the combination of statistical features and DWT for features selection using AF3 and AF4 channels by the application of MLP, has 98% succession rate. BCI system based on Arduino circuit has been built after the classification Further algorithms and system evaluation need to be considered as future work.
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