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

Search for clustering of strange quarks in relativistic heavy ion collisions at the LHC

Heavy ion collisions at the LHC provide a tool to study the phase transition from hadronic matter to a deconfined phase of quarks and gluons. We investigated whether flavor hierarchy in the QCD transition crossover region could lead to clustering of strangeness. The idea was supported by the enhanced production of strange carrying hadrons in heavy-ion collisions. Kaons are the lightest meson that carry the strange quark and thus they represent around 80% of the total strangeness in the system. We search for clusters of strange quarks in heavy-ion collisions, taking kaons as a proxy, by studying the azimuthal distribution of particles on an event-by-event basis. To find the signatures of clustering, we defined two different observables, probability of event clustering P(E) and Pull distributions. The shape of these distributions are expected to carry the possible clustering signature. We measured the higher moments of these distributions and compared them with the baselines, which have no clustering. These baselines are achieved either through simple statistical considerations of Poissonian particle production, leading to Gaussian signatures, or through analysis of realistic MC event generator, HIJING, that do not carry any mechanism of generated particle cluster or even flavor hierarchy in the particle freeze-out. We find no explicit evidence for azimuthal strangeness, but the detailed analysis allows us to set more stringent thresholds on the clustering probability. A sensitivity study shows that the higher moments (skewness and kurtosis) are more prone to show a signal. At this time, with the presently available dataset and the resulting statistical and systematic uncertainties on the higher moment measurements, we can state that the strangeness clustering probability in central heavy ion collisions at LHC energies is less than 20%

A global prospective of medical devices and their regulations

Health of the public is one of the important factors which influence the wellbeing state of a human being. The diagnosis of any chronic disease or disorder &amp; to develop treatment for that particular diseased condition is only possible after the involvement of medical devices &amp; combination products which wasn’t possible in previous years. The detailed differentiation of medical devices is based majorly on the risk factor involved from low risk to that of high one. To get the better understanding regarding all the medical devices the regulations prevailing to particular device can be studied. The goal of developing medical device regulation systems is to protect public’s health while also ensuring their safety &amp; performance. These regulations of medical devices products are governed by FDA which also monitors the safety &amp; efficacy of all medical products. Innovation further leads to manufacture of new medical device. As the pharmaceutical sector &amp; engineering department work hand in hand which has played a vital role in the physiology of organs, better performance, &amp; better life span &amp; in complete replacement of that particular organ system.&nbsp

Multiplicity dependence of light (anti-)nuclei production in p–Pb collisions at sNN=5.02 TeV

The measurement of the deuteron and anti-deuteron production in the rapidity range −1 < y < 0 as a function of transverse momentum and event multiplicity in p–Pb collisions at √sNN = 5.02 TeV is presented. (Anti-)deuterons are identified via their specific energy loss dE/dx and via their time-of- flight. Their production in p–Pb collisions is compared to pp and Pb–Pb collisions and is discussed within the context of thermal and coalescence models. The ratio of integrated yields of deuterons to protons (d/p) shows a significant increase as a function of the charged-particle multiplicity of the event starting from values similar to those observed in pp collisions at low multiplicities and approaching those observed in Pb–Pb collisions at high multiplicities. The mean transverse particle momenta are extracted from the deuteron spectra and the values are similar to those obtained for p and particles. Thus, deuteron spectra do not follow mass ordering. This behaviour is in contrast to the trend observed for non-composite particles in p–Pb collisions. In addition, the production of the rare 3He and 3He nuclei has been studied. The spectrum corresponding to all non-single diffractive p-Pb collisions is obtained in the rapidity window −1 < y < 0 and the pT-integrated yield dN/dy is extracted. It is found that the yields of protons, deuterons, and 3He, normalised by the spin degeneracy factor, follow an exponential decrease with mass number

Abstracts of AICTE Sponsored International Conference on Post-COVID Symptoms and Complications in Health

This book presents the selected abstracts of the International Conference on Post-COVID Symptoms and Complications in Health, hosted from the 28th to 29th of April 2022 in virtual mode by the LR Institute of Pharmacy, Solan (H.P.)-173223 in Collaboration with AICTE, New Delhi. This conference focuses on the implications of long-term symptoms on public health, ways to mitigate these complications, improve understanding of the disease process in COVID-19 patients, use of computational methods and artificial intelligence in predicting complications, and the role of various drug delivery systems in combating the complications. Conference Title:  International Conference on Post-COVID Symptoms and Complications in HealthConference Sponsor: AICTE, New Delhi.Conference Date: 28-29 April 2022Conference Location: OnlineConference Organizer: LR Institute of Pharmacy, Solan (H.P.)-173223

Abstracts of AICTE Sponsored International Conference on Post-COVID Symptoms and Complications in Health

This book presents the selected abstracts of the International Conference on Post-COVID Symptoms and Complications in Health, hosted from the 28th to 29th of April 2022 in virtual mode by the LR Institute of Pharmacy, Solan (H.P.)-173223 in Collaboration with AICTE, New Delhi. This conference focuses on the implications of long-term symptoms on public health, ways to mitigate these complications, improve understanding of the disease process in COVID-19 patients, use of computational methods and artificial intelligence in predicting complications, and the role of various drug delivery systems in combating the complications. Conference Title:  International Conference on Post-COVID Symptoms and Complications in HealthConference Sponsor: AICTE, New Delhi.Conference Date: 28-29 April 2022Conference Location: OnlineConference Organizer: LR Institute of Pharmacy, Solan (H.P.)-173223

Abstracts of National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020

This book presents the abstracts of the papers presented to the Online National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020 (RDMPMC-2020) held on 26th and 27th August 2020 organized by the Department of Metallurgical and Materials Science in Association with the Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, India. Conference Title: National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020Conference Acronym: RDMPMC-2020Conference Date: 26–27 August 2020Conference Location: Online (Virtual Mode)Conference Organizer: Department of Metallurgical and Materials Engineering, National Institute of Technology JamshedpurCo-organizer: Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, IndiaConference Sponsor: TEQIP-