The covid-19 pandemic caused countries around the globe to take measures, and construct a specific set of language talk about virus. present discussion paper aims unpack this based on Pierre Bourdieu’s theory ‘symbolic power’, social observations. analysis indicates that field was formulated where an official produced, including scientific, war, enforcement censorship linguistic practices. disc...

With the recent proliferation of open-source packages for computing, power system differential-algebraic equation (DAE) modeling and simulation are being revisited to reduce programming efforts. Existing tools require manual efforts develop code numerical equations, sparse Jacobians, discontinuous components. This paper proposes a hybrid symbolic-numeric framework, exemplified by an Python-base...

Adding to vital debates in EU Studies about the executive power of European governance, this article analyses influence research funding social sciences. The standardization and enforcement norms, principles, language codes, we argue, play a crucial role governance. Applying mixed-method approach, show that mastery ‘EU game’ does more than help scholars obtain funding; it also generates individ...

we shall extend the results of [5] and prove that if f = z o a x ? z [[x]] is algebraic over q (x), where a = 1, ƒ 1 and if ? , ? ,..., ? are p-adic integers, then 1 ? , ? ,..., ? are linkarly independent over q if and only if (1+x) ,(1+x) ,…,(1+x) are algebraically independent over q (x) if and only if f , f ,.., f are algebraically independent over q (x)

we give a proof of the generalisation of mendes-france and van der poorten's recent result over an arbitrary field of positive characteristic and then by extending a result of carlitz, we shall introduce a class of algebraically independent series.

Ordinal symbolic dynamics is a promising new approach to the investigation of time series and the systems behind them, with the important properties of being conceptually simple and relatively robust with respect to noise. The idea behind it is to consider the order relation between the values of a time series instead of the values themselves. Roughly speaking, a given time series is transforme...