Measurement Of Angular Coefficients Of Drell-Yan E(+) E(-) Pairs In Ppbar Collisions At Square Root Of Center Of Mass Energy Of 1.96 Tev.

In this paper we present the status of the measurement of angular distributions of final state electrons in ppbar → γ*/Z → e+ e− + X events produced in the Z boson mass region at square root of center of mass energy of 1.96 TeV at the Tevatron. For this analysis, we have used the Run IIb2 dataset collected with the DΦ detector. The angular distributions as a function of the transverse momentum of the electron-positron pair are studied, and the Lam-Tung relation, valid only for a spin-1 description of the gluon is investigated. The final result will also describe the details of the production mechanism of Z bosons via quark anti-quark annihilation or quark-gluon Compton scattering

Representing and Predicting Everyday Behavior

The prediction of everyday human behavior is a central goal in the behavioral sciences. However, efforts in this direction have been limited, as (1) the behaviors studied in most surveys and experiments represent only a small fraction of all possible behaviors, and (2) it has been difficult to generalize data from existing studies to predict arbitrary behaviors, owing to the difficulty in adequately representing such behaviors. Our paper addresses each of these problems. First, by sampling frequent verb phrases in natural language and refining these through human coding, we compile a dataset of nearly 4,000 common human behaviors. Second, we use distributed semantic models to obtain vector representations for our behaviors, and combine these with demographic and psychographic data, to build supervised, deep neural network models of behavioral propensities for a representative sample of the US population. Our best models achieve high accuracy rates when predicting propensities for novel (out-of-sample) participants as well as novel behaviors. This work lays the foundation for new predictive theories of everyday behavior, improving the generality and naturalism of research in the behavioral sciences

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Not AvailableThe Krishi Megh infrastructure and services has been jointly developed by ICAR-Indian Agricultural Statistics Research Institute (IASRI) and ICAR-National Academy of Agricultural Research Management (NAARM) under the National Agricultural Higher Education (NAHEP) component-2 Project Investment in ICAR leadership in higher education” project.NAHEP Comp-I

EPIDEMIOLOGY, CLINICAL MANIFESTATIONS, AND DIAGNOSIS OF CHIKUNGUNYA FEVER: LESSONS LEARNED FROM THE RE-EMERGING EPIDEMIC

Chikungunya fever, caused by “Chikungunya virus,” is an arbovirus disease transmitted by the bite of infected mosquitoes belonging to the genus Aedes. Chikungunya fever epidemics have been reported from several countries around the world. The disease that was silent for nearly 32 years re-emerged in the October 2005 outbreak in India that is still ongoing. The incubation period ranges from 3 to 12 days. The onset is usually abrupt and the acute stage is characterized by sudden onset with high-grade fever, severe arthralgias, myalgias, and skin rash. Swollen tender joints and crippling arthritis are usually evident. In the chronic stage, relapses that include sensation of fever, asthenia, exacerbation of arthralgias, inflammatory polyarthritis, and stiffness may be evident. Neurological, ocular, and mucocutaneous manifestations have also been described. Chronic arthritis may develop in about 15% of the patients. Viral culture is the gold standard for the diagnosis of Chikungunya fever. Reverse transcription polymerase chain reaction and real-time loop-mediated isothermal amplification have also been found to be useful. Serodiagnostic methods for the detection of immunoglobulin M and immunoglobulin G antibodies against Chikungunya virus are more frequently used. Chikungunya is a self-limiting disease; however, severe manifestations such as meningoencephalitis, fulminant hepatitis, and bleeding manifestations may sometimes be life-threatening. Treatment is symptomatic and supportive. Prevention by educating the community and public health officials, vector control measures appear to be the best approach at controlling Chikungunya fever as no commercially available vaccine is available for public use in India for this condition presently

Book of Abstracts of the 2nd International Conference on Applied Mathematics and Computational Sciences (ICAMCS-2022)

It is a great privilege for us to present the abstract book of ICAMCS-2022 to the authors and the delegates of the event. We hope that you will find it useful, valuable, aspiring, and inspiring. This book is a record of abstracts of the keynote talks, invited talks, and papers presented by the participants, which indicates the progress and state of development in research at the time of writing the research article. It is an invaluable asset to all researchers. The book provides a permanent record of this asset. Conference Title: 2nd International Conference on Applied Mathematics and Computational SciencesConference Acronym: ICAMCS-2022Conference Date: 12-14 October 2022Conference Organizers: DIT University, Dehradun, IndiaConference Mode: Online (Virtual