Coffeykessler1329

However, the g-C3N4 bands remain intact at the interface. The linearity and a considerably small gauge factor (1.89) make graphene/g-C3N4 a promising heterostructure material unlike conventional metal gauge sensor in wide strain pressure sensor devices. © 2020 IOP Publishing Ltd.OBJECTIVE Silent speech recognition based on surface electromyography has been studied for years. Though some progress in feature selection and classification has been achieved, one major problem remains how to provide confident or reliable prediction. APPROACH Inductive conformal prediction (ICP) is a suitable and effective method to tackle this problem. This paper applies ICP with the underlying algorithm of random forest to provide confidence and reliability. We also propose a method, test time data augmentation, to use ICP as a way to utilize unlabelled data in order to improve prediction performance. MAIN RESULTS Using ICP, p-values and confidence regions for individual predictions are obtained with a guaranteed error rate. Test time data augmentation also outputs relatively better conformal predictions as more unlabelled training data accumulated. Additionally, the validity and efficiency of ICP under different significance levels are demonstrated and evaluated on the silent speech recognition dataset obtained by our own device. SIGNIFICANCE These results show the viability and effectiveness of ICP in silent speech recognition. Moreover, ICP has potential to be a powerful method for confidence predictions to ensure reliability, both in data augmentation and online prediction. © 2020 IOP Publishing Ltd.We study the finite-temperature phase diagram of proton ordering of a quasi-two dimensional hydrogen-bonded system, namely the squaric acid crystal($\textH_2\textC_4\textO_4$) using quantum Monte Carlo. We take into account the four-spin plaquette interaction at the zeroth order followed by next nearest neighbor Ising interaction within a plaquette, dipole-dipole interaction and an external transverse magnetic field respectively. Using an improvised loop algorithm within the stochastic series expansion(SSE) quantum Monte Carlo method, we find two distinct phases as we increase the temperature and magnetic-field. One of the phase is the $\Pi_f$, the phase with long range ferroelectric order and the other being an intermediate state with strong local correlations, i.e, a quantum liquid-like state $\Pi_ql$. The transition to $\Pi_f$ shows a very small anomalous peak in the specific heat with strong dependence of critical temperature on the strength of dipole-dipole interaction. The presence of the small peak is attributed to the absence of macroscopic degeneracy in the presence of dipole-dipole interaction and re-entrance of such degeneracy to some extent at small temperature. The work also discusses an intricate connection of quantum fluctuation and thermal fluctuation in the presence of competing interaction with entropic effects. © 2020 IOP Publishing Ltd.Despite being routinely acquired during MRI examination for triggering or monitoring purposes, the Electrocardiogram (ECG) signal recording and analysis remain challenging due to the inherent magnetic environment of an MRI scanner. The ECG signals are particularly distorted by the induction of electrical fields in the body by the MRI gradients. In this study, we proposed a new hardware and software solution for the acquisition of an ECG signal during MRI up to 3T. GSK046 Instead of restricting the sensor bandwidth to limit these gradient artifacts, the new sensor architecture consisted in a higher bandwidth, higher sampling frequency and larger input dynamics, in order to acquire more precisely the ECG signals and the gradient artifacts. A signal processing based on a novelty detection algorithm and a blanking was then applied for improved artifact suppression. The proposed sensor allowed acquiring the gradient artifacts more precisely, and these artifacts were recorded with peak-to-peak amplitudes two orders of magnitude larger than QRS complexes. The proposed method outperformed a state-of-the-art approach both in terms of signal quality (+9% "SNR") and accuracy of QRS detection (+11%). The proposed hardware and software solutions opens the way for the acquisition of high-quality of ECG gating in MRI, and diagnostic quality ECG signals in MRI. © 2020 Institute of Physics and Engineering in Medicine.Endothelial cell migration is a crucial step in the procedure of new blood vessel formation-a necessary process to maintain cell viability inside thick tissue constructs. Here, we report a new method for maintaining cell viability and inducing cell migration using a perfused microfluidic platform based on collagen gel and a gradient hydrogel sheet. Due to the helpful role of the extracellular matrix (ECM) components in cell viability, we developed a hydrogel sheet from decellularized tissue (DT) of the bovine heart and chitosan (CS). The results showed that the hydrogel sheets with an optimum weight ratio of CS/DT=2 possess a porosity of around 75%, a mechanical strength of 23 kPa, and display cell viability up to 78%. Then, we immobilized a radial gradient of vascular endothelial growth factor (VEGF) on the hydrogel sheet to promote human umbilical vein endothelial cells (HUVECs) migration. Finally, we incorporated the whole system as an entirety on the top of the microfluidic platform and studied cell migration through the hydrogel sheet in the presence of soluble and immobilized VEGF. The results demonstrated that immobilized VEGF stimulated cell migration in the hydrogel sheet at all depths compared with soluble VEGF. The results also showed that applying a VEGF gradient in both soluble and immobilized states had a significant effect on cell migration at limited depths ( less then 100 μm). The main finding of this study is a significant improvement in cell migration using an in vivo imitating, cost-efficient, and highly reproducible platform, which may open up a new perspective for tissue engineering applications. © 2020 IOP Publishing Ltd.(Background) Bronchial asthma requires assessment and treatment of both airway inflammation and reversible airway narrowing. Airway inflammation and reversible airway narrowing are treated primarily with inhaled corticosteroids (ICS) and long-acting β2 agonists (LABA), respectively. Therefore, ICS/LABA combinations are widely used to treat asthma. Airway inflammation and reversible airway narrowing are assessed primarily with fraction of exhaled nitric oxide (FENO) and bronchodilator reversibility testing. However, little is known about the relation between these two assessments. Therefore, we assessed airway inflammation and bronchial reversibility during ICS/LABA combination therapy. (Methods) The subjects comprised 87 patients (25 men and 62 women) with asthma undergoing ICS/LABA combination therapy from July to September 2017. We performed the FENO test, forced oscillation technique (FOT), and bronchodilator reversibility testing without stopping ICS/LABA combination therapy. (Results) The percent change in forced expiratory volume in 1 s (ΔFEV1%) was significantly correlated with FENO (r = 0.