LHC data and cosmic ray coplanarity at superhigh energies

A new phenomenological model FANSY 2.0 is designed, which makes it possible to simulate hadron interactions via traditional QGSM-type particle generation as well as coplanar generation of most energetic particles, observed in cosmic ray experiments. FANSY 2.0 reproduces a lot of LHC (ALICE, ATLAS, CMS, TOTEM, LHCf) data. Results of model simulations are compared with LHC data. Problems of coplanarity are considered and a testing experiment is proposed.Comment: 8 pages, 21 PostScript figures, will be published in EPJ WoC (Proc. ISVHECRI 2016

A traffic classification method using machine learning algorithm

Applying concepts of attack investigation in IT industry, this idea has been developed to design a Traffic Classification Method using Data Mining techniques at the intersection of Machine Learning Algorithm, Which will classify the normal and malicious traffic. This classification will help to learn about the unknown attacks faced by IT industry. The notion of traffic classification is not a new concept; plenty of work has been done to classify the network traffic for heterogeneous application nowadays. Existing techniques such as (payload based, port based and statistical based) have their own pros and cons which will be discussed in this literature later, but classification using Machine Learning techniques is still an open field to explore and has provided very promising results up till now

Tests for covariance matrices, particularly for high dimensional data

Test statistics for sphericity and identity of the covariance matrix are presented, when the data are multivariate normal and the dimension, p, can be larger than the sample size, n. The statistics, derived under very general conditions, follow an approximate normal distribution for large p, also when p >> n. Simulation results, particularly emphasizing the case when p can be much larger than n, show that the proposed statistics are accurate for both size control and power. A discussion of the commonly used assumptions for high dimensional set up is also given, with the conclusions applicable in general as well as in the special case of high dimensional covariance testing

Measurement of the multiplicity dependence of charm production in proton--proton collisions at \sqrt{s}=7 TeV with the ALICE experiment at the CERN-LHC

Potential of the charm quark as a probe to study the Quark-Gluon Plasma (QGP) is best harnessed when its production mechanisms are disentangled from its propagation through the QGP. Proton-proton (pp) collisions help us to study charmed hadron production mechanisms. The measurement of D-meson yields in pp collisions as a function of the multiplicity of produced particles allows one to gain some insight into the processes occurring in the collision at a microscopic level. Here, the preliminary results are presented from this measurement at \sqrt{s} = 7 TeV. The analysis strategy, the applied corrections, and the determination of the systematic uncertainties are described. The preliminary results are presented and compared with those from a similar, published, measurement of J/\psi production.Comment: 7 pages, 4 figures, Proceedings of the 13th National Symposium on Frontiers in Physics (Peshawar, Pakistan), to be submitted to the IOP, Journal of Physics, Conference Series, December 201

INNOVATIONS AND INFORMAL INSTITUTIONS:AN INSTITUTIONALIST APPROACH TO THE ROLE OF SOCIAL CAPITAL FOR INNOVATION

This article seeks to add to the debate on the role of informal institutions on innovations within firms. It argues that social capital arising from informal institutions can either help innovation or inhibit it within small enterprises. The paper attempts to provide a conceptual framework of how social capital fosters innovation within small firms. Like physical and human capital, social capital is also considered an explanatory factor in theories of innovation. Social networks become an essential element in the economic activity of the small businesses as they are more likely to rely on them to obtain information and learn about new techniques of productions due to their smaller resource base.Social capital, innovation, informal institutions, Pakistan