Morus alba L., also known as white mulberry or Mhon, has long been used in traditional medicines. This study was aimed to investigate anti-inflammatory activities of mulberry stem ethanolic extract (MSE) in lipopolysaccharide- (LPS-) stimulated RAW 264.7 macrophage cell line. The MSE was first prepared and then investigated for cell viability using the MTT assay. The anti-inflammatory activitie...

The aim of this study was to analyse the electroencephalogram (EEG) background activity of Alzheimer's disease (AD) patients using multiscale entropy (MSE). MSE is a recently developed method that quantifies the regularity of a signal on different time scales. These time scales are inspected by means of several coarse-grained sequences formed from the analysed signals. We recorded the EEGs from...

Denoising has to do with estimating a signal x0 from its noisy observations y = x0 + z. In this paper,we focus on the “structured denoising problem”, where the signal x0 possesses a certain structure and zhas independent normally distributed entries with mean zero and variance σ. We employ a structure-inducing convex function f(·) and solveminx{ 12‖y − x‖ 22 + σλf(x)...

The overall objectives of the research work in the iCollaborate MSE (Materials Science and Engineering) project are to measure if improvements in student learning outcomes, student engagement, and successful course completion are possible if the structure in basic materials engineering courses is transformed from primarily deductive practice to an Information Communication Technology (ICT) enab...

It is well known that compression of very large images (e.g. medical imaging, microscopy, satellite images) requires stripebased or tiling processing. In some applications, the transmission of compressed data is performed through a rate constrained channel. Thus, rate allocation and control procedures have to be used to fit the channel characteristics. On the contrary, most of applications requ...

Figure: Averaged normalized importances for X1 from 100 simulated datasets (simulation process described below) for m=1,2,3,4 (left to right) with β1=(4,1,1,0.3) , corr(Xj,Xk)=ρ |j−k| with ρ=−0.9 to 0.9 in steps of 0.1 Grey line: true normalized LMG allocation; Black line: true normalized PMVD allocation : Variable importance (% MSE Reduction) from RF-CART; ×: Variable importance (% MSE Reducti...

This paper investigates a channel estimator based on Gaussian mixture models (GMMs) in the context of linear inverse problems with additive noise. We fit GMM to given samples obtain an analytic probability density function (PDF) which approximates true PDF. Then, conditional mean (CME) corresponding this approximating PDF is computed closed form and used as approximation optimal CME cannot be c...

This paper is concerned with optimizing the weights of global minimum-variance portfolio (GMVP) in high-dimensional settings where both observation and population dimensions grow at a bounded ratio. Optimizing GMVP highly influenced by data covariance matrix estimation. In setting, it well known that sample not proper estimator true since invertible when we have fewer observations than dimensio...

Modal strain energy (MSE) method is a widely used approximation approach for parameter calculation of damped composite structures. In this paper, iterative MSE proposed to calculate the loss factor damping structure by considering frequency dependence modulus and viscoelastic materials. The applied free spline, plate constrain plate. results show that: obtains minimum relative errors less than ...