* Corresponding author. Abstract Software Metric can provide essential information used for software development and maintenance processes. There have been also lots of researches on software metric tool helping users to use the software metric easily. However, many developers and project managers have suffered difficulties in using the tools. They could not trust on the result of metrics since...

We present ParaMetric, an automatic evaluation metric for data-driven approaches to paraphrasing. ParaMetric provides an objective measure of quality using a collection of multiple translations whose paraphrases have been manually annotated. ParaMetric calculates precision and recall scores by comparing the paraphrases discovered by automatic paraphrasing techniques against gold standard alignm...

Distance-based methods in pattern recognition and machine learning have to rely on a similarity or dissimilarity measure between patterns in the input space. For many applications, Euclidean distance in the input space is not a good choice and hence more complicated distance metrics have to be used. In this paper, we propose a parametric method for metric learning based on class label informati...

CONTENTS SUMMARY "Measure boundary" concepts for domains with a metric Use of task-related boundary Metrical and non-metrical concepts, and polymorphism Parametric polymorphism in biological designs Family Resemblance Ryle’s Polymorphism Parametric polymorphism in computer science Exercises for the reader Evolution and parametric polymorphism Programming languages with parametric polymorphism M...

We update results on the QCD equation of state in (2+1)-flavor with non-zero conserved charge chemical potentials obtained from an eighth-order Taylor series. present for basic bulk thermodynamic observables strangeness-neutral strong-interaction matter, i.e. pressure, number densities, energy and entropy density, resum series using Pad\'e approximants. Furthermore, we calculate speed sound as ...

We derive the conditions for one-loop contribution to cosmological constant be exponentially suppressed in a class of heterotic string compactifications with three generations chiral matter, where supersymmetry is spontaneously broken \`a la Scherk-Schwarz. Using techniques partial unfolding based on Hecke congruence subgroup $\Gamma_0(2)$ modular group extract leading asymptotics, we show that...

A grouping-circular-based (GCB) greedy algorithm is proposed to promote the efficiency of mesh deformation. By incorporating multigrid concept that computational errors on fine can be approximated with those coarse mesh, this stochastically divides all boundary nodes into $m$ groups and uses locally maximum radial basis functions (RBF) interpolation error each group as an approximation globally...

At low to moderate collision energies where the parton formation time $\tau_F$ is not small compared nuclear crossing time, finite thickness significantly affects energy density $\epsilon(t)$ and net conserved-charge densities such as net-baryon $n_B(t)$ produced in heavy ion collisions. As a result, at trajectory QCD phase diagram also affected by thickness. Here, we first discuss our semi-ana...