## Subgrid multiscale stabilized finite element analysis of non Newtonian Casson model fully coupled with Advection Diffusion Reaction equations

Casson fluid flow model tightly coupled with variable coefficients ADR ($VADR$) equation . Casson viscositycoefficient is taken to be dependent upon solute mass concentration . This paper presents the stability and convergence analyses of the stabilized finiteelement solution . The proposed expressions of the stabilization parameters help in obtaining optimal order of convergences .…

## Enabling fast convergence of the iterated penalty Picard iteration with O 1 penalty parameter for incompressible Navier Stokes via Anderson acceleration

This paper considers an enhancement of the classical iterated penalty Picard(IPP) method for the incompressible Navier-Stokes equations . Anderson acceleration (AA) is used to significantly improve its convergence properties . IPP enhanced with AA improves its linear convergence rate by the gain factor associated with the underlying optimization problem .…

## Tool and Domain Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics

Current deep learning techniques for style transfer would not be optimal for design support since their “one-shot” transfer does not fit exploratory design processes . To overcome this gap, we propose parametric transcription, which transcribes an end-to-end style transfer effect into parameters available in existing content editing tools .…

## Low order divergence free approximations for the Stokes problem on Worsey Farin and Powell Sabin splits

We derive low-order, inf-sup stable and divergence-free finite element approximations for the Stokes problem using Worsey-Farin splits in threedimensions and Powell-Sabin splits in two dimensions . The velocity space simplyconsists of continuous, piecewise linear polynomials, where as the pressurespace is a subspace of piecewise constants with weak continuity properties atsingular edges (3D)…

## Forecasting managerial turnover through e mail based social network analysis

Researchers analyzed communication behavior of 866 managers, out of which 111 left a large service company . Findings show managers who quit had lower closeness centrality and less engaged conversations . Researchers say managers who chose to quit tended to shift their communication behavior starting from 5 months before leaving, by increasing their degree, the complexity of their language, as well as their oscillations in betweenness centrality, and the number of “nudges” they need to send to peers before getting an answer .…

## Recursion formulas for integrated products of Jacobi polynomials

In this paper, the authors derive several contiguous relations for terminating multivariatehypergeometric series . With these contiguous relations one can prove severalrecursion formulas of those series . This theoretical result allows to computeintegrals over products of Jacobi polynomials in a very efficient recursiveway .…

## An Algebraic Characterisation of First Order Logic with Neighbour

We give an algebraic characterisation of first-order logic with the neighbourrelation, on finite words . For this, we consider languages of finite words overalphabets with an involution on them . The natural algebras for such languagesare involution semigroups . To characterise the logic, we define a special kindof semidirect product of involution .product…

## Combining GCN and Transformer for Chinese Grammatical Error Detection

This paper introduces our system at NLPTEA-2020 Task: Chinese GrammaticalError Diagnosis (CGED) CGED aims to diagnose four types of grammatical errors which are missing words (M), redundant words (R), bad word selection (S) anddisordered words (W) The automatic CGED system contains two parts including error detection and error correction and our system is designed to solve the error detection problem .…

## A fast Petrov Galerkin spectral method for the multi dimensional Boltzmann equation using mapped Chebyshev functions

Numerical approximation of the Boltzmann equation presents a challenging problem due to its high-dimensional, nonlinear, and nonlocal collision operator . The Petrov-Galerkin spectral method uses Chebyshev functions to achieve desired convergence and conservation properties . We demonstrate the superior accuracy of the proposed method in comparison to the Fourier spectral method with the help of the then-uniform fast Fourier transform (NuffT) The basis functions (bothtest and trial functions) are carefully chosen to be carefully chosen .…

## Deep Neural Network Accelerated Implicit Filtering

Solving the CDG problem is a key part of the designand verification process for new electronic circuits, including the chips that power modern servers and smartphones . We show that combining implicitfiltering (IF), an existing derivative free optimization (DFO) method, with adeep neural network global approximator leads to an accelerated DFO method .…

## User centric Handover in mmWave Cell Free Massive MIMO with User Mobility

The coupling between cell-free massive multiple-input multiple- input multiple-output (MIMO) systems and usermobility is considered in this paper . Three beamforming techniques are proposed in the considered scenario, along with a dynamic user association technique (handover) Numerical results reveal that the proposed beamforming and userassociation techniques are effective in a considered scenario .…

## Wilf classes of non symmetric operads

Two operads are said to belong to the same Wilf class if they have the samegenerating series . If an operad has afinite Groebner basis, then the monomial basis of the operad forms anunambiguous context-free language . We discuss the deterministicgrammar which defines the language .…

## Methods for Detoxification of Texts for the Russian Language

First study of automatic detoxification of Russian texts to combat offensive language . Such a kind of textual style transfer can be used,for instance, for processing toxic content in social media . The results show that the testedapproaches can be successfully used for detoxification, although there is room for improvement .…

## Answering Product Questions by Utilizing Questions from Other Contextually Similar Products

Answering subjective and opinion-based questions is most challenging due to the dependency on customer-generated content . A mixture-of-expert framework is used to predict the answer by aggregating the answers from contextually similar products . Results demonstrate that our model outperforms strong baselines on some segments of questions, namely those that have roughly ten or more similarresolved questions in the corpus .…

## Numerical computation of periodic solutions of renewal equations from population dynamics

We describe a piecewise collocation method for computing periodic solutions of renewal equations . Then, we rigorously prove its convergence under the framework proposed in [S. Maset, Numer. Math.,133 (2016), pp. 525–555] We show some numerical experiments on models frompopulations dynamics which confirm the order of convergence obtained theoretically .…

## Efficient approximation of high dimensional exponentials by tensornetworks

Suchexponential functions play an important role in several problems in UncertaintyQuantification . The proposed method constructs a functional representation of the exponential by exploiting its nature as a solution of anordinary differential equation . The application of a Petrov–Galerkin scheme tothis equation provides a tensor train representation .…

## Non cumulative measures of researcher citation impact

The most commonly used publication metrics for individual researchers are the total number of publications, and Hirsch’s $h$-index . Most other author-level measures in the literature share this cumulative property . By contrast, we aim to studynon-cumulative measures that answer the question “in terms of citation impact,what have you done lately?”…

## Learning Language Specific Sub network for Multilingual Machine Translation

Multilingual neural machine translation aims at learning a single translation model for multiple languages . LaSS learns LanguageSpecific Sub-network (LaSS) for each language pair to counter parameter interference . The LaSS obtains gains on 36 language pairs by up to 1.2 BLEU .…

## Essay BR a Brazilian Corpus of Essays

Automatic Essay Scoring (AES) is defined as the computer technology that evaluates and scores the written essays . In order to bridge this gap, we create a large corpus with several essays written by Brazilian high school students on an online platform .…

## Gym ANM Open source software to leverage reinforcement learning for power system management in research and education

Gym-ANM is a Python package that facilitates the design of reinforcementlearning environments that model active network management (ANM) tasks inelectricity networks . We hope this package will facilitate collaboration between the power system and RLcommunities in the search for algorithms to control future energy systems .…