This paper describes a more efficient paired comparison method that reduces the number of trials necessary for converting a table of paired comparisons into scaler data. Instead of comparing every pair of samples (the complete method), a partial method is used that makes more comparisons between closer samples than between more distant samples. A sorting algorithm is used to efficiently order t...

Passing-Bablok regression for method comparison is a robust, nonparametric method for fitting a straight line to two-dimensional data where both variables, X and Y, are measured with error. It is useful when you have two devices that should give the same measurements and you want to compare them. This is accomplished by test estimate a linear regression line and testing whether the intercept is...

In this paper, the scientific demands of forensic evidence were introduced. The quantitative analysis methods and processes of forensic evidence were proposed, and the feasible quantitative examination methods of evidence that match the admission criterion of scientific evidence were summarized. In addition, taking voice evidence for example, the datadriven calculation methods of evidence stren...

In this paper, we revisit the D-iteration algorithm in order to better explain different performance results that were observed for the numerical computation of the eigenvector associated to the PageRank score. We revisit here the practical computation cost based on the execution runtime compared to the theoretical number of iterations.

For an advanced next-generation Human-Computer Interaction (HCI) interface, combining natural language processing (NLP) is an inevitable choice as human language is the most common and sophisticated communication device. Among various topics in NLP, word sense related topic is one of the most challenging areas. In this paper we present a method adopted from ACOM that automatically generate bili...

Either the matched asymptotic expansions method or the two-variable technique are available for treating boundary layer problems. A comparison of the two methods is achieved on dealing with elliptic boundary value problems. The two-variable technique is proved to be slightly more powerful than the matched expansions method. Nevertheless it fails to determine a closed class of approximate soluti...

We propose a new general version of Stein’s method for univariate distributions. In particular we propose a canonical definition of the Stein operator of a probability distribution which is based on a linear difference or differential-type operator. The resulting Stein identity highlights the unifying theme behind the literature on Stein’s method (both for continuous and discrete distributions)...

To tackle the growing challenges facing our societies, such as climate change, we need to understand scientific knowledge and methods. Developing literacy in schools is therefore necessary. do so, be able assess competencies associated with literacy. Secondly, educators meaningful tools which can implemented geography classes. One important competency students learn comparison. Although perform...

Background: Salivary cortisol is increasingly used in the diagnostic work-up of suspected Cushing’s disease as well as in stress research. In this study, the agreement of different methods for salivary cortisol measurement was assessed. Methods: Saliva samples from five healthy volunteers were distributed to three routine clinical chemistry laboratories. As a reference, all samples were also an...

Almost all demand forecasting methods work in the time domain. We describe a method that operates in the frequency domain. Using discrete Fourier transform, we decompose a given set of demand data into a set of sine and cosine functions. The Fourier coefficients contain information about the frequencies and amplitudes in these sinusoids and allow us to reconstruct the original given demand data...