2,585 research outputs found

    Relativistic Green functions in a plane wave gravitational background

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    We consider a massive relativistic particle in the background of a gravitational plane wave. The corresponding Green functions for both spinless and spin 1/2 cases, previously computed by A. Barducci and R. Giachetti \cite{Barducci3}, are reobtained here by alternative methods, as for example, the Fock-Schwinger proper-time method and the algebraic method. In analogy to the electromagnetic case, we show that for a gravitational plane wave background a semiclassical approach is also sufficient to provide the exact result, though the lagrangian involved is far from being a quadratic one.Comment: Last paper by Professor Arvind Narayan Vaidya, 18 pages, no figure

    Preventing anaemia in pregnancy - need for intensive IEC Activities

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    A Study to know the compliance rale of IFA tablets in respect of collection and consumption was carried out in three districts of Himachal Pradesh covering 90 clusters. Out of total women interviewed with childless than one year, only 94.8% had collected IFA tablets. 41.9% and 10% women had consumed these tablets for 60 and 100 days respectively. Majority of women did not consume these tablets with the reason that medicine is taken on ly during illness and as such they don't require these tablets. Intrusive Information, Education and Communication activities are stressed in the paper

    "Where is My Parcel?" Fast and Efficient Classifiers to Detect User Intent in Natural Language

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    We study the performance of customer intent classifiers designed to predict the most popular intent received through ASOS.com Customer Care Department, namely “Where is my order?”. These queries are characterised by the use of colloquialism, label noise and short message length. We conduct extensive experiments with twowell established classification models: logistic regression via n-grams to account for sequences in the dataand recurrent neural networks that perform the extraction of these sequential patterns automatically. Maintaining the embedding layer fixed to GloVe coordinates, a Mann-Whitney U test indicated that the F1 score on aheld out set of messages was lower for recurrent neural network classifiers than for linear n-grams classifiers (M1=0.828, M2=0.815; U=1,196, P=1.46e-20), unless all layers were jointly trained with all other network parameters (M1=0.831, M2=0.828, U=4,280, P=8.24e-4). This plain neural network produced top performance on a denoised set of labels (0.887 F1) matching with Human annotators (0.889 F1) and superior to linear classifiers (0.865 F1). Calibrating these models to achieveprecision levels above Human performance (0.93 Precision), our results indicate a small difference in Recall of 0.05 for the plain neural networks (training under 1hr), and 0.07 for the linear n-grams (training under 10min), revealing the latter as a judicious choice of model architecture in modern AI production systems

    Finite one dimensional impenetrable Bose systems: Occupation numbers

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    Bosons in the form of ultra cold alkali atoms can be confined to a one dimensional (1d) domain by the use of harmonic traps. This motivates the study of the ground state occupations λi\lambda_i of effective single particle states ϕi\phi_i, in the theoretical 1d impenetrable Bose gas. Both the system on a circle and the harmonically trapped system are considered. The λi\lambda_i and ϕi\phi_i are the eigenvalues and eigenfunctions respectively of the one body density matrix. We present a detailed numerical and analytic study of this problem. Our main results are the explicit scaled forms of the density matrices, from which it is deduced that for fixed ii the occupations λi\lambda_i are asymptotically proportional to N\sqrt{N} in both the circular and harmonically trapped cases.Comment: 22 pages, 8 figures (.eps), uses REVTeX
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