In this study, N-methyl-N'propyltrimethoxysilylimidazoliummodified LUS-1 and MCM-48 nonoporous materials were prepared and employed as adsorbent for removing Reactive Blue-19 from aqueous solutions.LUS-1 and MCM-48 were made based on the previous procedure and modified with N-methyl-N'propyltrimethoxysilylimidazolium chloride. XRD analyses did not show any lattice alteration between modified an...

Stereo matching is one of the most active research areas in computer vision. In this paper, a novel stereo matching is proposed that utilizes Census measure and pixels-based intensity measure into data term of Belief Propagation algorithm. Traditional data term of Belief Propagation lies on pixels-based intensity measure, and its effect is not very well. We combine intensity and Census algorith...

INTRODUCTION Cough intensity is an important determinant of cough severity reported by patients. Cough sound analysis has been widely validated for the measurement of cough frequency but few studies have validated its use in the assessment of cough strength. We investigated the relationship between cough sound and physiological measures of cough strength. METHODS 32 patients with chronic coug...

In low-light conditions, it is known that Poisson noise and quantization noise become dominant sources of noise. While intensity difference is usually measured by Euclidean distance, it often breaks down due to an unnegligible amount of uncertainty in observations caused by noise. In this paper, we develop a new noise model based upon Poisson noise and quantization noise. We then propose a new ...

We introduce a dominance intensity measuring method to derive a ranking of alternatives to deal with incomplete information in multi-criteria decision-making problems on the basis of multi-attribute utility theory (MAUT) and fuzzy sets theory. We consider the situation where there is imprecision concerning decision-makers’ preferences, and imprecise weights are represented by trapezoidal fuzzy ...

The volatility of future earnings growth is a significant determinant of Fama and French’s Value premium. We use a stochastic earnings model of firm valuation to establish a formal link between the volatility of future earnings growth and the value premium. Furthermore we empirically confirm this relationship at the macro-level.

Although recent studies have shown that a Bayesian network classifier (BNC) that maximizes the classification accuracy (i.e., minimizes the 0/1 loss function) is a powerful tool in knowledge representation and classification, this classifier focuses on the majority class, is usually uninformative about the distribution of misclassifications, and is insensitive to error severity (making no disti...

OBJECTIVE To determine whether multiple sclerosis (MS) and infectious mononucleosis (IM) share common HLA associations. DESIGN A prospective cohort study was conducted from October 1, 1999, through September 30, 2003. SETTING University of Edinburgh Richard Verney Health Centre, Edinburgh, Scotland. PATIENTS Participants included 179 individuals who underwent asymptomatic Epstein-Barr vir...

This paper analyzes the risk-return trade-off in the hedge fund industry. We compare semi-deviation, value-at-risk (VaR), Expected Shortfall (ES) and Tail Risk (TR) with standard deviation at the individual fund level as well as the portfolio level. Using the Fama and French (1992) methodology and the combined live and defunct hedge fund data from TASS, we find that the left-tail risk captured ...

This paper establishes an econometric framework to construct a systematic risk factor from textual data, by linking a beta pricing model with a language model based on machine learning techniques. In this framework, the distributions of stock returns and words in associated documents are determined by a common underlying systematic risk factor (text-implied risk). The exposure to the text-impli...