The inhibitory effect on human and rat intestinal disaccharidase by the extractive from the leaves of Morus alba (ELM) containing 0.24 % 1-deoxynojirimycin equivalent and its inhibitory activities were investigated by the modified Dahlqvist method. In the presence of 1000-fold diluted ELM solution, the sucrase activity of four human samples was inhibited by 96 % and that of maltase and isomalta...

The automatic sound event classification (SEC) has attracted a growing attention in recent years. Feature extraction is a critical factor in SEC system, and the deep neural network (DNN) algorithms have achieved the state-of-the-art performance for SEC. The extreme learning machine-based auto-encoder (ELM-AE) is a new deep learning algorithm, which has both an excellent representation performan...

We report recent experimental results from HL-2A and KSTAR on ELM mitigation by supersonic molecular beam injection (SMBI). Cold particle deposition within the pedestal by SMBI is verified in both machines. The signatures of ELM mitigation by SMBI are an ELM frequency increase and ELM amplitude decrease. These persist for an SMBI influence time τI. Here, τI is the time for the SMBI influenced p...

Xinjie Wu School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China,[email protected] Abstract Extreme learning machine (ELM) is an efficient algorithm for single-hidden layer feedforward neural networks (SLFNs), which can produce good generalization performance in most cases and learn thousands of times faster than conventional p...

Purpose. To analyze microstructural changes in the external limiting membrane (ELM) and photoreceptor layer before and after early and late conventional laser treatment in central serous chorioretinopathy (CSC) in 12 months follow-up study. Methods. A retrospective observational study included Group A: 19 patients (19 eyes) with symptomatic acute CSC and Group B: 16 patients (16 eyes) with symp...

Extreme Learning Machine (ELM) algorithm assigns the input weights and biases in a “one-time stamp” fashion, this method makes to be ill-conditioned reduces its classification accuracy. The contribution of work is enhancement performance ELM with Moth-Flame Optimization (MFO) improve A hybrid (MFO-ELM) implemented MATLAB. MFO ensures concurrent simulation exploration exploitation search space s...

Although extreme learning machine (ELM) has been successfully applied to a number of pattern recognition problems, it fails to provide sufficient good results in hyperspectral image (HSI) classification due to two main drawbacks. The first is due to the random weights and bias of ELM, which may lead to ill-posed problems. The second is the lack of spatial information for classification. To tack...