Scale-free graphs have recently attracted much attention since so-called scale-free phenomena have really appeared in various physical and social networks, where a graph is said to be scale-free if the distribution of degrees has a power-law tail. In the previous paper, the authors proposed a simple model of random interval graphs generated by immigration-death processes (also known as M/G/∞ qu...

We investigate a construction of five-dimensional (5D) grand unified theories (GUTs) on an interval, which we call iGUTs. We analyze supersymmetric SO(10) iGUT as an example, where the gauge multiplet is spread over the 5D bulk. The SO(10) is directly reduced to the standard model gauge symmetry through the interval boundary conditions. Notice that this rank reduction is impossible in case of G...

the perception of hospiyal inpatients from current status and expectation status of observance about patient’s rights

Variance and covariance components for milk yield, survival to second freshening, calving interval in first lactation were estimated by REML with the expectation and maximization algorithm for an animal model which included herd-year-season effects. Cows without calving interval but with milk yield were included. Each of the four data sets of 15 herds included about 3000 Holstein cows. Relation...

In this paper we analyze the interval availability of a two-echelon, multi-item spare part inventory system. We consider a scenario inspired by a situation that we encountered at Thales Netherlands, a manufacturer of naval sensors and naval command and control systems. Modeling the complete system as a Markov chain we analyze the interval availability. We compute in closed and exact form the ex...

We review estimation in interval censoring models, including nonparametric estimation of a distribution function and estimation of regression models. In the non-parametric setting, we describe computational procedures and asymptotic properties of the nonparametric maximum likelihood estimators. In the regression setting, we focus on the proportional hazards, the proportional odds and the accele...

We review estimation in interval censoring models including nonparametric esti mation of a distribution function and estimation of regression models In the non parametric setting we describe computational procedures and asymptotic properties of the nonparametric maximum likelihood estimators In the regression setting we focus on the proportional hazards the proportional odds and the accelerated...

The aim of this study was to compare how respiratory compensation point (RCP) and end-test power (EP) change in response to the same four-week high intensity interval training (HIIT). The power output associated with RCP and EP before and after HIIT were recorded in 24 recreationally active participants (14 men and 10 women). RCP was determined from an incremental exercise test and EP was deriv...