Describing dynamical fluctuations and genuine correlations by Weibull regularity

The Weibull parametrization of the multiplicity distribution is used to describe the multidimensional local fluctuations and genuine multiparticle correlations measured by OPAL in the large statistics $e^{+}e^{-} \to Z^{0} \to hadrons$ sample. The data are found to be well reproduced by the Weibull model up to higher orders. The Weibull predictions are compared to the predictions by the two other models, namely by the negative binomial and modified negative binomial distributions which mostly failed to fit the data. The Weibull regularity, which is found to reproduce the multiplicity distributions along with the genuine correlations, looks to be the optimal model to describe the multiparticle production process.Comment: 10 pages, 2 figure

Study of multiplicity dependence of heavy flavor production in p-p collisions using rope hadronization mechanism

The multiplicity dependence of the production of the charm mesons in p$-$p collisions at $\sqrt{s} = 7$ TeV and 13 TeV as measured by ALICE experiment has been investigated using Pythia 8 event generator by studying the effect of various processes at partonic level such as the effect of different modes of color reconnections and rope hadronization. The relative yields ($\rm Yield/\langle Yield \rangle$) of D-mesons and $J/\psi$ as a function of relative charged particle multiplicity for various transverse momentum (p\textsubscript{T}) ranges as measured by the ALICE experiment are in reasonable agreement with the estimations of Pythia 8 model within the framework of microscopic processes. The relative yields of B mesons for various p\textsubscript{T} intervals ($1 < p_{T} < 20$ GeV/$c$) have also been predicted in p$-$p collisions at $\sqrt{s} = 7$ TeV and $\sqrt{s} = 13$ TeV

Inverted Meckel’s diverticulum: a rare cause of intussusception in children

Invagination of proximal segment of intestine to distal one results in intussusceptions and is a common cause of intestinal obstruction in children. In most of the cases of intussusceptions, the cause is idiopathic in nature; the other causes may be infection, polyp or anatomical abnormalities. Occasionally, Meckel’s diverticulum may cause intussusception and inverted Meckel’s diverticulum leading to intussusceptions is very rare in children. It is difficult to diagnose inversion of Meckel’s diverticulum preoperatively. Here in we report a case of 6 yrs old male child, who was operated for intussusception and found to have inverted Meckel’s diverticulum as lead point.     

Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification

As a huge number of satellites revolve around the earth, a great probability exists to observe and determine the change phenomena on the earth through the analysis of satellite images on a real-time basis. Therefore, classifying satellite images plays strong assistance in remote sensing communities for predicting tropical cyclones. In this article, a classification approach is proposed using Deep Convolutional Neural Network (DCNN), comprising numerous layers, which extract the features through a downsampling process for classifying satellite cloud images. DCNN is trained marvelously on cloud images with an impressive amount of prediction accuracy. Delivery time decreases for testing images, whereas prediction accuracy increases using an appropriate deep convolutional network with a huge number of training dataset instances. The satellite images are taken from the Meteorological & Oceanographic Satellite Data Archival Centre, the organization is responsible for availing satellite cloud images of India and its subcontinent. The proposed cloud image classification shows 94% prediction accuracy with the DCNN framework

Production of He-4 and (4) in Pb-Pb collisions at root(NN)-N-S=2.76 TeV at the LHC

Results on the production of He-4 and (4) nuclei in Pb-Pb collisions at root(NN)-N-S = 2.76 TeV in the rapidity range vertical bar y vertical bar <1, using the ALICE detector, are presented in this paper. The rapidity densities corresponding to 0-10% central events are found to be dN/dy4(He) = (0.8 +/- 0.4 (stat) +/- 0.3 (syst)) x 10(-6) and dN/dy4 = (1.1 +/- 0.4 (stat) +/- 0.2 (syst)) x 10(-6), respectively. This is in agreement with the statistical thermal model expectation assuming the same chemical freeze-out temperature (T-chem = 156 MeV) as for light hadrons. The measured ratio of (4)/He-4 is 1.4 +/- 0.8 (stat) +/- 0.5 (syst). (C) 2018 Published by Elsevier B.V.Peer reviewe