In this study, I apply a bibliometric analysis paired with a subsequent snowball sampling procedure. Moreover, I display a full citation network analysis, outlining the most relevant publications and contributions, defining relevant measures and show the interconnectivities and gaps within the...

Over recent decades, various USA government regulations and incentives, at both federal and state levels, encourage the development of green energy sources and the reduction of CO 2 emissions. In this paper, we investigate the degree of persistency of shocks to CO 2 per capita series in 50...

Solving non-linear parabolic partial differential equations (PDEs) in high dimension becomes an interest for its curse of dimensionality problem. Recently, a deep learning method associated with a backward stochastic differential equation (deep-BSDE) to solve the PDEs draws intensive discussions...

Highlights* A nonlinear transmission line with a Schottky varactor and two resistive elements, connected to a voltage terminal, is studied.* Solitary-wave ignals are shown to propagate with amplitudes that are either exponentially increased of decreased with time, depending on a specific...

Prediction of nonlinear dynamic process remains a challenging and active research topic. In this paper, adaptive nonlinear prediction based on a Hammerstein-modeling approach is investigated. Motivated by the desire to represent the best fit to the nonlinear dynamical plant with the Hammerstein...

Turbulent dispersed multiphase systems are of paramount importance in numerous physical applications. In terms of the numerical modeling of such systems, crucial aspects are, among others, the mathematical representation of dispersed particles and the effect of fluid turbulence on those...

The study analyses the impacts of climate change on macro prices (food prices, interest rate, and exchange rate). Secondary data from 1960-2019 are used, and the nonlinear autoregressive distributed lag method is employed accordingly. The results reveal that there is a long-run relationship...