Results 271 to 280 of about 9,695 (338)

Digital Dividends Across Space: How the Digital Economy Fuels Green Innovation

open access: yesAsia &the Pacific Policy Studies, Volume 13, Issue 3, September 2026.
ABSTRACT To investigate whether digital economy shape the spatial dynamics of regional green innovation, this paper utilises data from Chinese prefecture‐level cities and constructs multidimensional spatial weight matrices. The results show that the development of the digital economy significantly generates strong spatial spillover effects on green ...
Mingbo Zheng   +3 more
wiley   +1 more source

Extremism at the center: Uncovering political diversity among midpoint responders on the left–right self‐placement item

open access: yesPolitical Psychology, Volume 47, Issue 4, August 2026.
Abstract The midpoint of the left‐right self‐placement item is the most populated of all response options. While genuinely‐centrist responders opt to self‐place there, it is also a convenient response option for those that cannot easily fit their politics to the left‐right spectrum.
Edward J. R. Clarke   +6 more
wiley   +1 more source

General Framework for Multi‐Degree‐of‐Freedom Stiffness Matrix Updating for Iterative Solution Algorithms in Hybrid Simulation

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 9, Page 1947-1967, 25 July 2026.
ABSTRACT Iterative solvers are advantageous for handling nonlinear structural analysis problems. The iterative solvers often require updating the stiffness matrix, which limits their application in static and pseudo‐dynamic hybrid simulations because: (1) updating the stiffness matrix of a system involving a physical specimen is challenging; (2 ...
Junyan Xiao, Oh‐Sung Kwon, Evan Bentz
wiley   +1 more source

Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver

open access: yesInternational Journal for Numerical Methods in Fluids, Volume 98, Issue 7, Page 804-839, July 2026.
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

open access: yesJournal of Forecasting, Volume 45, Issue 4, Page 2059-2077, July 2026.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das   +2 more
wiley   +1 more source

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