2 The dominant view of protein structure-function is that an amino acid sequence specifies a (mostly) fixed three-dimensional (3-D) structure that is a prerequisite to protein function. In contrast to the dominant view, many proteins display functions requiring the disordered state. Our purpose here is to provide a catalogue of disorder-function relationships. The very important molecular detai...

Disease identification is a major task in the field of biomedical. To perform it the analysis of EEG signal is to be performed. The proposed method presents for feature extraction from electroencephalogram (EEG) signals using empirical mode decomposition (EMD). Its use is motivated by the fact that the EMD gives an effective time-frequency analysis of nonstationary signals. The intrinsic mode f...

In today’s era of digital revolution, electronic systems in the context of audio communication typically perform transmission, playback, analysis and synthesis of audio signals. So, from the perspective of electronic system/product design for any of these purposes, noise influences must be carefully considered. Various types of noise and distortion can be characterized and number of techniques ...

The Ca(2+) binding properties of C2 domains are essential for the function of their host proteins. We present here the first crystal structures showing an unexpected Ca(2+) binding mode of the C2B domain of rabphilin-3A in atomic detail. Acidic residues from the linker region between the C2A and C2B domains of rabphilin-3A interact with the Ca(2+)-binding region of the C2B domain. Because of th...

The empirical mode decomposition is applied to analyze the intrinsic multi-scale dynamic behaviors of complex financial systems. In this approach, the time series of the price returns of each stock is decomposed into a small number of intrinsic mode functions, which represent the price motion from high frequency to low frequency. These intrinsic mode functions are then grouped into three modes,...

One of the most important techniques of ultrasonic flaw classification is feature extraction of flaw signals,which directly affects the accuracy and reliability of flaw classification.Based on the non-stationary characteristic of ultrasonic flaw signals, a new feature extraction method of ultrasonic signals based on empirical mode decomposition (EMD) is put forward in the paper. Firstly, the or...

Traffic accidents occur frequently every year. Skid-resistance performance is an important indicator in evaluating road safety. In this paper, the surface texture information obtained by a line laser scanner. The original two-dimensional (2D) signal decomposed into eight intrinsic mode functions complementary ensemble empirical decomposition (CEEMD). Eight compose 800 × 8 data matrix. matrix si...

Resting-state or intrinsic connectivity network functional magnetic resonance imaging provides a new tool for mapping large-scale neural network function and dysfunction. Recently, we showed that behavioural variant frontotemporal dementia and Alzheimer's disease cause atrophy within two major networks, an anterior 'Salience Network' (atrophied in behavioural variant frontotemporal dementia) an...