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Communication sounds are typically asymmetric in time and human listeners are highly sensitive to short-term temporal asymmetry. Nevertheless neurophysiological correlates of perceptual asymmetry remain largely elusive to current ap-proaches. Physiological recordings suggest that perceptual asymmetry is based on multiple scales of temporal integration within the auditory processing hierarchy. To test...
A solution with the fusion of AHP and DEA aimed at the complexity of comprehensive evaluation and decision-making to power grid planning scheme as well as the defect of too strong subjectivity of AHP and incapability of reflecting deciders' preference is provided. According to whether to fuse grey correlation degree or not there are two different models built by this solution, by means of establishing...
In order to evaluate balancing ability in each direction more objectively and analyze the correlations between balance ability and human basic information such as gender, height and weight, the complete dynamics model of balance process under external excitation was simplified as two order linear system reasonably in this study. The evaluation system based on visual stimulation was built to provide...
Based on the M&A (merger and acquisition) of Chinese listed companies from 2005 to 2010, this paper empirically studies the relationship between executive rewards and M&A. The M&A samples include types of stock ownership replacement and asset transactions, and they are divided into four sub-samples according to the majority stockholder's characteristics of acquiring companies and whether...
Effective monitoring the growth state of seawater phytoplankton plays an important role for the early warning of marine disasters, such as coastal red tides. Grey correlation analysis method was used to select the secondary variables of the soft sensing model. It can effectively reduce the dimension of the system. Extreme learning machine regression (ELMR) method was used to build the soft sensing...
Transcriptional regulation plays an important role in every cellular decision. Unfortunately, understanding the dynamics that govern how a cell will respond to diverse environmental cues is difficult using intuition alone. We introduce logic based regulation models based on state-of-the-art work on statistical relational learning, and validate our approach by using it to analyze time-series gene expression...
The co-pyrolysis of sesame oil cake and the waste jute sacks has been conducted in a long tubular type semi-batch reactor in the temperature range of 573 to 1173K in N2 atmosphere. A reaction scheme has been proposed where two parallel reactions occur simultaneously to produce volatiles and char. Kinetic parameters, namely, rate constants, frequency factors, activation energies have been determined...
Reliability is an area in which there are many misconceptions due to misunderstanding or misuse of the basic language. It is therefore important to get an understanding of the basic concepts and terminology. Reliability study is considered essential for proper utilization and maintenance of engineering systems and equipment's. A practical definition of reliability is “the probability that a piece...
Many applications need methods for handling missing or insufficient data. This paper applies a correlation technique to improve the fallback methods previously used to handle the paucity of keystroke data from the infrequently used keys in a keystroke biometric system. The proposed statistical fallback model uses a correlation based fallback table based on the linear correlation between pairs of keys...
Artificial Neural Networks (ANNs) are often viewed as black box. This limits the comprehensive understanding on how it deals with input neuron/data, as well as how it reached a particular decision. Input significance analysis (ISA) refers to the process of understanding these input neurons/data. And since this work is on classification problem, hence similarly, this process can also be called feature...
In this paper, we want to introduce experimental economics to the field of data mining and vice versa. It continues related work on mining deterministic behavior rules of human subjects in data gathered from experiments. Game-theoretic predictions partially fail to work with this data. Equilibria also known as game-theoretic predictions solely succeed with experienced subjects in specific games -...
Correlation networks have been used in biological networks to analyze and model high-throughput biological data, such as gene expression from micro array or RNA-seq assays. Typically in biological network modeling, structures can be mined from these networks that represent biological functions, for example, a cluster of proteins in an interactome can represent a protein complex. In correlation networks...
In this paper a nonlinear fuzzy model was introduced to reveal the dynamics of auditory brainstem response to one syllable speech stimuli /da/, in normal Persian speaking subjects. This model represents the input-output behavior of the brainstem in generating cABR (complex auditory brainstem response) to consonant-vowel /da/. Fuzzy models have been successfully applied to the identification of complex...
Microbial interaction, such as species competition and symbiotic relationships, plays important role to enable microorganisms to survive by establishing a homeostasis between microbial neighbors and local environments. Thanks to the recent accumulation of large-scale high-throughput sequencing data of complex microbial communities, there are increasing interests in identifying microbial interactions...
The identification of expression quantitative trait loci (eQTL) epistasis, which is a non-linear interaction effect between two or more genetic loci that control quantitative traits, play an essential role in understanding the mechanisms of gene interactions in the complex diseases. However, many studies have ignored the possibility of the epistasis in spite of the countless empirical evidence of...
With the accelerating level of global integration, the volatilities across exchange markets are co-moving with higher level of fluctuation as well as more complicated dynamic inter correlations, which are key to the deeper understanding and proper measurement of risk. Thus, we propose the multivariate wavelet based Value at Risk estimation algorithm to account for the multiscale dynamic correlation...
This paper calculates the ecological footprint, ecological capacity and ecological pressure index of Shaanxi Province from 1991 to 2011 by the method of ecological footprint. And it gets the ecological security level trend in 21 years of Shaanxi Province. Then the paper selects five different indicators to establish index system. The state index of social development in Shaanxi Province is calculated...
This paper argues that biometric verification evaluations can obscure vulnerabilities that increase the chances that an attacker could be falsely accepted. This can occur because existing evaluations implicitly assume that an imposter claiming a false identity would claim a random identity rather than consciously selecting a target to impersonate. This paper shows how an attacker can select a target...
Many bioinformatics datasets share certain problems: they have class imbalance (one class with many more instances than the remaining class(es)), or are difficult to learn from (build accurate models with). Much research has investigated these two problems, or even considered both at once. However, hidden dependencies can exist between these two problems: in a given collection of datasets, the highly...
Based on the upper echelons theory, the research analyzes the effect of demographic traits of entrepreneurs on financing constraints of SMEs with the hierarchical linear models, which samples 530 Chinese listed SMEs from the year 2010. According to the results, it is found that different demographic traits of entrepreneurs have different effects on the financing constraints of SMEs. Specifically,...
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