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Ajitesh Srivastava: Predicciones precisas y asignación de recursos para la respuesta a la pandemia COVID-19
Descripción de esta presentación:
Esta presentación fue hecha por Ajitesh Srivastava, University of Southern California. El título de la presentación es: "Predicciones Precisas y Asignación de Recursos para la Respuesta Epidémica COVID-19." Financiado por Informática y Ciencias de la Información e Ingeniería del NSF / Ciberinfraestructura Avanzada.
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Descripción de los seminarios web del CIC:
Cada mes, el equipo del Centro de Información de COVID (junto con el Northeast Big Data Innovation Hub) reúne a un grupo de investigadores que estudian diversos aspectos de la pandemia actual, para compartir sus investigaciones y responder preguntas de nuestra comunidad. Los eventos muestran los esfuerzos continuos de los científicos en la lucha contra el COVID-19, incluyendo oportunidades de colaboración
"Tests for Multivariate Analysis of Variance in High Dimension Under Non-Normality"
In this article, we consider the problem of testing the equality of mean vectors of dimension ρ of several groups with a common unknown non-singular covariance matrix Σ, based on N independent observation vectors where N may be less than the dimension ρ. This problem, known in the literature as the Multivariate Analysis of variance (MANOVA) in high-dimension has recently been considered in the statistical literature by Srivastava and Fujikoshi[7], Srivastava [5] and Schott[3]. All these tests are not invariant under the change of units of measurements. On the lines of Srivastava and Du[8] and Srivastava[6], we propose a test that has the above invariance property. The null and the non-null distributions are derived under the assumption that ( N, ρ) → ∞ and N may be less than ρ and the observation vectors follow a general non-normal model.
Indian Literature and the World. Multilingualism, Translation and the Public Sphere
Indian Literature and the World is a collection of critical essays featuring up-to-date scholarship on the most vibrant yet under-studied aspects of Indian writing today. Multilingualism, current debates on postcolonial versus world literature, the impact of translation on an “Indian” literary canon, and Indian authors’ engagement with the public sphere all shape the orientation of our volume. The essays cover political activism and the North-East Tribal novel; the role of work in the contemporary Indian fictional imaginary; history as felt and reconceived by the acclaimed Hindi author Krishna Sobti; Bombay fictions; the Dalit autobiography in translation and its problematic international success; development, ecocriticism and activist literature; casteism and access to literacy in the South; gender and diaspora as dominant themes in writing from and about the subcontinent. Troubling Eurocentric genre distinctions and the split between citizen and subject, we wish to approach Indian literature from the perspective of its constant interactions between private and public narratives, thereby proposing a method of reading Indian texts that goes beyond their habitual postcolonial identifications as “national allegories”
Dataset for Superconducting dual-channel photonic switch
Data for all the plots in the publication
Srivastava, Y. K. et al (2018). Superconducting dual-channel photonic switch. Advanced Materials, 1-8. [1801257].</span
Inclusive production at large mass and large transverse momentum
Production of massive lepton pairs in hadronic collisions is discussed in a model recently proposed by us (with E. Etim) (1972) which shows scaling for strong as well as e.m. processes and an increase in the average transverse momentum with the mass. This model is applied to obtain approximately a p/sub perpendicular to //sup -4/ decrease with transverse momentum, p/sub perpendicular to /, in inclusive hadronic distribution functions. (7 refs)
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