in this work the effect of electrolytes on hydrate formation was investigated. to do so, a new model was used in predicting the hydrate formation conditions in presence of both single and mixed electrolyte solutions. the new model is based on the van der waals - platteeuw hydrate equation of state. in order to evaluate the values for the activity of water in electrolyte solutions the simplified...

In this work the effect of electrolytes on hydrate formation was investigated. To do so, a new model was used in predicting the hydrate formation conditions in presence of both single and mixed electrolyte solutions. The new model is based on the van der Waals - Platteeuw hydrate equation of state. In order to evaluate the values for the activity of water in electrolyte solutions t...

Prediction of the biological effect of missense substitutions has become important because they are often observed in known or candidate disease susceptibility genes. In this paper, we carried out a 3-step analysis of 1514 missense substitutions in the DNA-binding domain (DBD) of TP53, the most frequently mutated gene in human cancers. First, we calculated two types of conservation scores based...

This paper mainly studies the multiclass stochastic user equilibrium problem considering market share of battery electric vehicles (BEVs) and random charging behavior (RCB) in a mixed transport network containing gasoline (GVs). In order to analyze path choice behaviors BEV users extract differences travel between GV users, an improved logit-based model, multilabel algorithm, queuing theory are...

This paper utilizes global variance (GV) of the log power spectrum (LPS) derived from mel-cepstrum to improve hidden Markov model (HMM) based parametric speech synthesis. In order to alleviate over-smoothing of the generated spectral structures, an LPS-GV modeling method using line spectral pairs (LSPs) has been proposed in our previous work, where the estimated distribution of LPS-GV was combi...

This paper utilizes global variance (GV) of the log power spectrum (LPS) derived from mel-cepstrum to improve hidden Markov model (HMM) based parametric speech synthesis. In order to alleviate over-smoothing of the generated spectral structures, an LPS-GV modeling method using line spectral pairs (LSPs) has been proposed in our previous work, where the estimated distribution of LPS-GV was combi...

In this paper we extend the familiar continuum electrostatic model with a perturbation to the usual macroscopic boundary condition. The perturbation is based on the mean spherical approximation (MSA), to derive a multiscale hydration-shell boundary condition (HSBC). We show that the HSBC/MSA model reproduces MSA predictions for Born ions in a variety of polar solvents, including both protic and...

This paper presents a method to model the global variance (GV) of log power spectrums derived from the line spectral pairs (LSPs) in a sentence for HMM-based parametric speech synthesis. Different from the conventional GV method where the observations for GV model training are the variances of spectral parameters for each training sentence, our proposed method directly models the temporal varia...

Multiple system atrophy (MSA) is a neurodegenerative movement disorder characterized by parkinsonian symptoms and cerebellar symptoms. Sleep disturbances also play a crucial role in MSA. One of the most convincing animal models in MSA research is the PLP α-SYN model, but to date no studies on sleep disturbances in this mouse model, frequently found in MSA patients are available. We identified s...

The speech parameter generation algorithm considering global variance (GV) for HMM-based speech synthesis proved to be effective against the over-smoothing problem. In this paper this idea is extended to the generation of state duration. A GV model on syllable duration is proposed and a state duration generation algorithm considering this GV model is presented in details. By improving the GV li...