Results 141 to 150 of about 78,936 (284)

Resonance‐induced restoration of rock permeability degraded by heavy components of crude oil

Deep Underground Science and Engineering, EarlyView.
Resonance‐induced changes occur in filtration properties of sedimentary rocks in crude paraffin oil flow under acoustic vibrations. Experimental data on (a) pressure drop; (b) permeability; (c) pressure at the rock inlet; and (d) pressure at the rock outlet are presented.
Evgenii Riabokon, Qian Yin, Mikhail Guzev, Mikhail Turbakov, Evgenii Kozhevnikov, Nadezhda Riabokon, Ivan Panteleev   +6 more
wiley   +1 more source

Inverse sky islands: lowland river valleys drive microbial divergence while high elevations select for convergence in massive mountain ecosystems

Ecography, EarlyView.
Mountain ecosystems are often interpreted through the lens of the ‘sky island' model, where high‐elevation habitats function as isolated archipelagos. However, this model's applicability to massive, topographically complex mountain ranges where highlands are continuous and lowlands are fragmented remains untested.
Yazhou Zhang, J. Aaron Hogan, Jianjun Wang, Wenguang Sun, Yaojun Ye, Xin Liu, Minshu Song, Hang Sun   +7 more
wiley   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Research on Deformation Prediction of Small Interval Tunnel Based on Machine Learning and Numerical Simulation

Energy Science &Engineering, EarlyView.
This study leverages machine learning algorithms—specifically artificial neural networks (ANN) and genetic programming (GP)—to forecast and analyze variations in vault settlement measurements during excavation of small interval tunnel. A settlement prediction model was developed and validated through comparative analysis with regression to evaluate the
Wenjie Zhai, Jia Xue, Yongjie Fu, Beichen Yu, Yan Zhu, Man Yuan, Mingbo Chi, Zhentao Li   +7 more
wiley   +1 more source

Renewable Energy Use, Agricultural Productivity, and Economic Expansion Impact on Environmental Sustainability in India

Energy Science &Engineering, EarlyView.
ABSTRACT This research aims to explore the effects of agricultural productivity and the use of renewable energy sources on India's CO2 emissions while taking economic expansion into concern based on data during 1985–2022. This study applies the autoregressive distributed lag (ARDL) technique, dynamic‐ordinary least square (DOLS), fully‐modified ...
Palanisamy Manigandan, Radulescu Magdalena, Duraisamy Pachiyappan, Nadia Sha, Marian Cristescu   +4 more
wiley   +1 more source

Hole transporting materials in inverted flexible perovskite solar cells: Challenges, progress, and perspectives

FlexMat, EarlyView.
The buried interface is a critical determinant of efficiency and stability in inverted flexible perovskite solar cells (IFPSCs). This Perspective summarizes advances in hole transporting materials for IFPSCs, including polymeric, small‐molecule, inorganic, and hybrid systems, and discusses the prospects and feasibility of emerging molecular design and ...
Xianglang Sun, Jiawei Leng, Zhong'an Li
wiley   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

Asymptotic Normality Through Factorial Cumulants and Partition Identities. [PDF]

Comb Probab Comput, 2013
Bobecka K, Hitczenko P, López-Blázquez F, Rempała G, Wesołowski J.   +4 more
europepmc   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Fourier Spot Volatility Estimator: Asymptotic Normality and Efficiency with Liquid and Illiquid High-Frequency Data. [PDF]

PLoS One, 2015
Mancino ME, Recchioni MC.
europepmc   +1 more source