Results 61 to 70 of about 5,954 (211)
Blasting effects of cross‐fault deep‐buried excavation on adjacent existing tunnel stability
Based on the theoretical analysis of cylindrical wave propagation in a deep rock mass in the fault with a filling layer, the calculation method of peak particle velocity caused by wave propagation in the existing tunnel is established. The viscoelastic characteristics of a rock mass are examined in the analysis.
Shaobo Chai +5 more
wiley +1 more source
ABSTRACT This study develops a comprehensive framework for assessing time and state‐dependent aftershock damage accumulation under an M9.0 megathrust interface earthquake in the Cascadia Subduction Zone (CSZ). The framework integrates aftershock probabilistic seismic hazard analysis (APSHA) and state‐dependent fragility analysis (SDFA) within a ...
Hongzhou Zhang, Yazhou Xie
wiley +1 more source
Waves of Uncertainty: Crude Oil Under Geopolitical, Economic, and ESG Turbulence
Dynamic copula and wavelet coherence reveal that geopolitical, economic, and sustainability uncertainties significantly shape crude oil price co‐movements. Long‐term coherence, especially post‐2015, highlights the growing role of ESG risks alongside geopolitical shocks and economic crises in global energy risk transmission.
Sana Braiek +3 more
wiley +1 more source
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime +3 more
wiley +1 more source
Functional central limit theorems in $L^{2}(0,1)$ for logarithmic combinatorial assemblies
Koji Tsukuda
semanticscholar +1 more source
Scaling‐Aware Rating of Poisson‐Limited Demand Forecasts
ABSTRACT Forecast quality should be assessed in the context of what is possible in theory and what is reasonable to expect in practice. Often, one can identify an approximate upper bound to a probabilistic forecast's sharpness, which sets a lower, not necessarily achievable, limit to error metrics.
Malte C. Tichy +4 more
wiley +1 more source
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Income–Well‐Being Gradient in Sickness and Health
ABSTRACT We propose a method for studying the value of insurance. For this purpose, we analyze the well‐being of the same individuals, comparing sick and healthy years, using German panel survey data on life satisfaction. We impose structure on the income–well‐being gradient by fitting a flexible utility function to the data, focusing on the ...
Ohto Kanninen +2 more
wiley +1 more source
Central limit theorems and weak laws of large numbers in certain banach spaces
E. Giné, J. Zinn
semanticscholar +1 more source

