Results 101 to 110 of about 286,371 (234)
Energy Science &Engineering, EarlyView.Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen +4 more
wiley +1 more source
Future in Educational Research, EarlyView.ABSTRACT The aim of this study is to examine the effect of participation in the virtual reality‐based environmental education (VRBEE) program on the creative problem‐solving (CPS) skills of middle school students in Turkey. The research was conducted with 125 students from a public middle school, and their CPS skills were assessed using a pre‐test–post‐
Fatih Pala
wiley +1 more source
Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver
International Journal for Numerical Methods in Fluids, EarlyView.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
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
Journal of Forecasting, EarlyView.ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Forecasting House Prices: The Role of Market Interconnectedness
Journal of Forecasting, EarlyView.ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen +3 more
wiley +1 more source
Lost in Translation? Risk‐Adjusting RMSE for Economic Forecast Performance
Journal of Forecasting, EarlyView.ABSTRACT When used for parameter optimization and/or model selection, traditional mean squared error (MSE)–based measures of forecast accuracy often exhibit a weak or even negative correlation with the economic value of return forecasts measured by, for example, the Sharpe ratios of the resulting portfolios.
Lukas Salcher +2 more
wiley +1 more source
Practice adoption in MNCS: A multi‐level interactionist model of trait activation
Global Strategy Journal, EarlyView.Abstract Research Summary Sharing knowledge through organizational practices is an important source of advantage for multinational corporations (MNCs). While prior research on practice adoption by subsidiaries of MNCs has identified several individual and organizational factors, this study examines their interplay in the context of HQ‐mandated ...
Sven Kunisch +4 more
wiley +1 more source
An Unfolding Story: AlphaFold's View on Protein Flexibility
Helvetica Chimica Acta, EarlyView.AlphaFold confidence measures allow for detailed proteome‐wide characterization of protein flexibility. All flexibility measures increased substantially in the evolutionary transition from prokaryota to eukaryota. ABSTRACT The AlphaFold confidence measures are related to conformation distribution of the protein.
Gunnar Jeschke
wiley +1 more source
How Signals of Silence Sustain Sexual Harassment and What to Do About It
Human Resource Management, EarlyView.ABSTRACT Sexual harassment has persisted for decades as an open secret within organizations, creating an ongoing challenge for Human Resource practitioners. Many employees experience or witness harassment yet say nothing. When they contemplate complaining, they are discouraged from doing so. Some still muster the courage to speak out about these abuses,
Angela L. Workman‐Stark +6 more
wiley +1 more source
Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan +3 more
wiley +1 more source