Results 141 to 150 of about 1,442,152 (332)

Spatially resolved 23Na magnetic resonance dispersion measurement in porous media

The Canadian Journal of Chemical Engineering, EarlyView.
Quantitative 23Na MRI was employed to analyze dispersion in realistic core plug samples and was compared with the conventional breakthrough curve. 23Na MRI provided a more effective aassessment of core plug heterogeneity than the conventional method. Abstract Tracer tests are widely used in the petroleum industry to assess reservoir core plugs, relying
Rheya Rajeev, Mohammad Sadegh Zamiri, Andrés Ramírez Aguilera, Florea Marica, Laura Romero de Zerón, Bruce J. Balcom   +5 more
wiley   +1 more source

Mixed-Mode Oscillations in a piecewise linear system with multiple time scale coupling

, 2016
S. Fernández-García, M. Krupa, F. Clément   +2 more
semanticscholar   +1 more source

A‐optimal model‐based design of experiments for processes with uncertain inputs

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Model‐based design of experiments (MBDoE) techniques are tools for selecting experimental conditions that enable accurate parameter estimation for mechanistic models. Most MBDoE approaches assume that the selected experimental conditions will be implemented perfectly, without uncertainties in the independent variables.
Bright Ofori, Iman Moshiritabrizi, Anh‐Duong Vo, Kimberley B. McAuley   +3 more
wiley   +1 more source

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

The Benjamin–Ono Equation in the Zero‐Dispersion Limit for Rational Initial Data: Generation of Dispersive Shock Waves

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone, Louise Gassot, Patrick Gérard, Peter D. Miller   +3 more
wiley   +1 more source

Modelling Sustainability Performance in Manufacturing Companies

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Nowadays, organisations need to operate with economic, social and environmental goals in mind. Indices objectively quantify such goals; hence, an organisation can develop and compare policies based on future index values. We propose a system dynamics‐based model of a manufacturing company that frames its operations in terms of a set of easily ...
Harol Andrey Avila‐Choconta, Liliana Ruiz‐Acosta, David Andrés Camargo‐Mayorga, Mario Andrés Muñoz   +3 more
wiley   +1 more source

Characterizing early behavioral and social–emotional problems in young children with SCN1A+ Dravet syndrome: Findings from the ENVISION prospective natural history study

Epilepsia, EarlyView.
Abstract Objective Dravet syndrome (DS) is the prototypic developmental and epileptic encephalopathy, characterized by drug‐resistant seizures, developmental slowing, and many other morbidities. Detailed characterization of behavioral phenotypes and social–emotional skill development are limited.
Ingrid E. Scheffer, M. Scott Perry, Joseph Sullivan, Susana Boronat, James Wheless, Andreas Brunklaus, Linda Laux, Anup D. Patel, Colin Roberts, Dennis Dlugos, Deborah Holder, Kelly Knupp, Matt Lallas, Steven Phillips, Eric Segal, Dennis Lal, Elaine Wirrell, Sameer M. Zuberi, Rebecca Shaffer, Mary Wojnaroski, Madison M. Berl, Sarah Christensen, Emma S. James, Maria Candida Vila, Norman Huang, Jacqueline S. Gofshteyn, Salvador Rico   +26 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

Disturbance‐Resilient Voltage/Power‐Quality Management for Islanded Inverters Using Self‐Tuning Type‐3 Fuzzy Controller

Energy Science &Engineering, EarlyView.
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian, Jun‐Bo Mao, Nurkhat Zhakiyev, Didar Yedilkhan, Ruslan Omirgaliyev, Du Changdong, Amirhossein Khosravi Sarvenoee, Ardashir Mohammadzadeh   +7 more
wiley   +1 more source