Weyl Transform on Nonunimodular Groups

For $p>2$, B. Simon\cite{Simon} studied the unboundedness of the Weyl transform for symbol belonging to $L^p({\mathbb{R}^n\times \mathbb{R}^n})$. In this article, we study the analog of unboundedness of the Weyl transform on some nonunimodular groups, namely, the affine group, similitude group, and affine Poincar\'e group

Pseudo-Differential Operators, Wigner Transform, and Weyl Transform on the Affine Poincar\'e Group

In this paper, we study harmonic analysis on the affine Poincar\'e group $\mathcal{P}_{aff}$, which is a non-unimodular group, and obtain pseudo-differential operators with operator valued symbols. More precisely, we study the boundedness properties of pseudo-differential operators on $\mathcal{P}_{aff}$. We also provide a necessary and sufficient condition on the operator-valued symbols such that the corresponding pseudo-differential operators are in the class of Hilbert--Schmidt operators. Consequently, we obtain a characterization of the trace class pseudo-differential operators on the Poincar\'e affine group $\mathcal{P}_{aff}$, and provide a trace formula for these trace class operators. Finally, we study the Wigner transform, and Weyl transform associated with the operator valued symbol on the Poincar\'e affine group $\mathcal{P}_{aff}$

Insilico Annotation of Un-characterized proteins of Mycobacterium Tuberculosis

Mycobacterium tuberculosis (MTB) is a pathogenic bacteria species in the genus Mycobacterium and the causative agent of most cases of tuberculosis. The genome of the H37Rv strain was published in 1998. Its size is 4 million base pairs, with 3959 genes; 40% of these genes have had their function characterised, with possible function postulated for another 44%. Within the genome are also 6 pseudo genes. The genome contains 250 genes involved in fatty acid metabolism, with 39 of these involved in the polyketide metabolism generating the waxy coat. Such large numbers of conserved genes show the evolutionary importance of the waxy coat to pathogen survival.The current work suggests a computational approach to annotate the putative function of the Mycobacterium tuberculosis.Over all 30 sequences were collected from the swiss prot data base.The insilico based annotation were performed by using BLAST,SMART,THMHM,and prediction of the motif.The result suggest that most of the uncharacterised protein resembles more to the chromosome assembly protein and also receptors.Again the motif and domains in the uncharacterise proteins has been predicted.Since the prediction of the function of this uncharacterise protein might be help ful to findout the specific drug target against this deadliest pathoge

Radial Flow from Electromagnetic Probes and Signal of Quark Gluon Plasma

A first attempt has been made to extract the evolution of radial flow from the analysis of the experimental data on electromagnetic probes experimentally measured at SPS and RHIC energies. The $p_T$ spectra of photons and dileptons measured by WA98 and NA60 collaborations respectively at CERN-SPS and the photon spectra obtained by PHENIX collaboration at BNL-RHIC have been used to constrain the theoretical models, rendering the outcome of the analysis largely model independent. We argue that the variation of the radial velocity with invariant mass is indicative of a phase transition from initially produced partons to hadrons at SPS and RHIC energies.Comment: One LaTeX and 9 eps files, to appear in Phys. Rev.

Seismic Response of Partially Filled Rectangular Liquid Tank With Internal Objects

Sloshing is a phenomenon describing the disturbance in an unrestrained free surface of liquid in a container. It encompasses a wide spectrum of problems of engineering interest. The container in question may be a tea cup, a kerosene jerkin, a water or oil tank, a liquid transporting road tanker, a reservoir or even an ocean. The problem of sloshing is common to all such containers which are partially filled and thus have unrestrained free surface. This dissertation makes a small but honest attempt to study the seismic response of partially filled rigid rectangular tank, with internal objects, firmly supported to the ground. The novelty of this PhD is that it focuses on a special class of container with submerged internal object

Improving Heavy Dijet Resonance Searches Using Jet Substructure at the LHC

The search for new physics at high energy accelerators has been at the crossroads with very little hint of signals suggesting otherwise. The challenges at a hadronic machine such as the LHC compounds on the fact that final states are swamped with jets which one needs to understand and unravel. A positive step in this direction would be to separate the jets in terms of their gluonic and quark identities, much in similar spirit of distinguishing heavy quark jets from light quark jets that has helped in improving searches for both neutral and charged Higgs bosons at the LHC. In this work, we utilise this information using the jet substructure techniques to comment on possible improvements in sensitivity as well as discrimination of new resonances in the all hadronic mode that would be crucial in pinning down new physics signals at HL-LHC, HE-LHC and any future 100 TeV hadron collider.Comment: 21 pages, 3 tables, 9 figure

A prospective observational study for the evaluation of maternal and fetal outcome in patient with eclampsia

Background: Eclampsia continues to be a measure health issue in developing country. In order to get a comprehensive data on eclamptic patients we conduct a prospective observational study to address the maternal and fetal complication during pregnancy.Methods: It is a prospective observational study conducted in a tertiary care medical college between the periods September 2016 to February 2017. During the period all patients with eclampsia admitted to the labour room were taken. Any patients with known epilepsy were excluded from the study.Results: During the period 3780 women were admitted to the labour room, out of which 56 women had eclampsia with an incidence of 1.48%. Out this antenatal eclampsia was most common with an incidence of 91.08% followed by intra partum 4 (7.14%) and postpartum eclampsia 1 (1.78%). Majority of patients 54 (96.43%) were unbooked or inadequately supervised. Most of the patient had normalization of blood pressure after oral nifedipine 46 (82.14%), only 10 (17.86%) patient required additional injection labetalol for control of blood pressure. The maternal complications were placental abruption 8 (14.28%), HELLP 6 (10.71%), pulmonary edema 1 (1.78%), acute renal failure 1 (1.78%), DIC 1 (1.78%) and maternal death 2 (3.57%). Out of fifty six babies delivered 42 (75%) had live birth and 14 (25%) had still birth. A total of 17 (40.42%) had IUGR, 17 (40.47%) require SNCU admission post-delivery.Conclusions:Eclampsia still remains the major cause of maternal and fetal morbidity. In low resource countries improvement in health care facility, adequate antenatal supervision, and timely referral will reduce the maternal and fetal complication.

Degree of approximation of Conjugate Series of a Fourier Series by (E,r)(N,p,q) Means

In this paper a theorem on degree of approximation of a function f Lip ? by product Summability(E,r)(N,p,q)of conjugate series of Fourier series associated with f, has been established

Integrating artificial intelligence for knowledge management systems – synergy among people and technology: a systematic review of the evidence

This paper analyses Artificial Intelligence (AI) and Knowledge Management (KM) and focuses primarily on examining to what degree AI can help companies in their efforts to handle information and manage knowledge effectively. A search was carried out for relevant electronic bibliographic databases and reference lists of relevant review articles. Articles were screened and the eligibility was based on participants, procedures, comparisons, outcomes (PICO) model, and criteria for PRISMA (Preferred Reporting Items for Systematic Reviews). The results reveal that knowledge management and AI are interrelated fields as both are intensely connected to knowledge; the difference reflects in how – while AI offers machines the ability to learn, KM offers a platform to better understand knowledge. The research findings further point out that communication, trust, information systems, incentives or rewards, and the structure of an organization; are related to knowledge sharing in organizations. This systematic literature review is the first to throw light on KM practices & the knowledge cycle and how the integration of AI aids knowledge management systems, enterprise performance & distribution of knowledge within the organization. The outcomes offer a better understanding of efficient and effective knowledge resource management for organizational advantage. Future research is necessary on smart assistant systems thus providing social benefits that strengthen competitive advantage. This study indicates that organizations must take note of definite KM leadership traits and organizational arrangements to achieve stable performance through KM