Underlying Event measurements in pp collisions at root s=0.9 and 7 TeV with the ALICE experiment at the LHC

We present measurements of Underlying Event observables in pp collisions at root s = 0 : 9 and 7 TeV. The analysis is performed as a function of the highest charged-particle transverse momentum p(T),L-T in the event. Different regions are defined with respect to the azimuthal direction of the leading (highest transverse momentum) track: Toward, Transverse and Away. The Toward and Away regions collect the fragmentation products of the hardest partonic interaction. The Transverse region is expected to be most sensitive to the Underlying Event activity. The study is performed with charged particles above three different p(T) thresholds: 0.15, 0.5 and 1.0 GeV/c. In the Transverse region we observe an increase in the multiplicity of a factor 2-3 between the lower and higher collision energies, depending on the track p(T) threshold considered. Data are compared to PYTHIA 6.4, PYTHIA 8.1 and PHOJET. On average, all models considered underestimate the multiplicity and summed p(T) in the Transverse region by about 10-30%.

A Bayesian analysis of the Conway-Maxwell-Poisson cure rate model

The purpose of this paper is to develop a Bayesian analysis for the right-censored survival data when immune or cured individuals may be present in the population from which the data is taken. In our approach the number of competing causes of the event of interest follows the Conway-Maxwell-Poisson distribution which generalizes the Poisson distribution. Markov chain Monte Carlo (MCMC) methods are used to develop a Bayesian procedure for the proposed model. Also, some discussions on the model selection and an illustration with a real data set are considered.

The geometric Birnbaum-Saunders regression model with cure rate

In this paper, we propose a cure rate survival model by assuming the number of competing causes of the event of interest follows the Geometric distribution and the time to event follow a Birnbaum Saunders distribution. We consider a frequentist analysis for parameter estimation of a Geometric Birnbaum Saunders model with cure rate. Finally, to analyze a data set from the medical area. (C) 2011 Elsevier B.V. All rights reserved.

Predation of Caiman yacare (Spix, 1825) (Crocodilia, Alligatoridae) by Busarellus nigricollis (Latham, 1790) (Accipitriformes, Accipitridae) in the Taiama Ecological Station, Alto Pantanal, State of Mato Grosso

Predation of Caiman yacare (Spix, 1825) (Crocodilia, Alligatoridae) by Busarellus nigricollis (Latham, 1790) (Accipitriformes, Accipitridae) in the Taiama Ecological Station, Alto Pantanal, State of Mato Grosso. The Black-collared Hawk Busarellus nigricollis is an Accipitridae commonly seen on river banks, lagoon shores, and marshy areas. It feeds mainly on fishes and aquatic insects. It hunts from dead tree branches at forest edges or emergent trunks in flooded areas. Detailed information about the Black-collared Hawk food habits is scarce. In this study, we describe the predation of Caiman yacare (Pantanal alligator) by an individual of B. nigricollis. The event was observed on 20 August 2010 at 10: 14 am, in the Taiama Ecological Station, municipality of Caceres, Alto Pantanal, state of Mato Grosso. The B. nigricollis individual was seen leaving the Paraguay River carrying a juvenile C. yacare around 40 cm long. The prey was torn apart and given to a Black-collared Hawk nestling sitting atop a nest in flooded forest, ca. 15 m way from the river bank. This is the first published record of Pantanal alligator predation by the Black-collared Hawk.

The polysurvival model with long-term survivors

Long-term survival models have historically been considered for analyzing time-to-event data with long-term survivors fraction. However, situations in which a fraction (1 - p) of systems is subject to failure from independent competing causes of failure, while the remaining proportion p is cured or has not presented the event of interest during the time period of the study, have not been fully considered in the literature. In order to accommodate such situations, we present in this paper a new long-term survival model. Maximum likelihood estimation procedure is discussed as well as interval estimation and hypothesis tests. A real dataset illustrates the methodology.