Results 151 to 160 of about 46,808 (210)

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Comparison of modelling approaches for liquid fluidized beds

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study presents a comparison of three promising numerical models for the detailed simulation of liquid–solid fluidized bed. These models differ in their treatment of the solid phase, ranging from treating each particle individually to treating the collection of particles as a continuum.
Andreu Bernad‐Serra, Furkhat Khamitov, Olli H. Sorvari, Ville Alopaeus   +3 more
wiley   +1 more source

Application of dynamic modelling and model‐based predictive control to enhance a cooling tower

The Canadian Journal of Chemical Engineering, EarlyView.
Model predictive control (MPC) applied to improve the operation of cooling towers. Abstract Model predictive control (MPC) differs from traditional feedback control by making predictions within a time horizon, providing better control actions for the process.
Douglas de Almeida Giardini, Adriana Guglielmi Ranieri Miranda, Wilson Hideki Hirota, Bruno Faccini Santoro, José Ermirio Ferreira de Moraes   +4 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

Linear and Two‐Dimensional Infrared Spectroscopy of the Multifunctional Vibrational Probe, 3‐(4‐Azidophenyl) Propiolonitrile. Deperturbing a Fermi Triad by Isotopic Substitution

ChemPhysChem, Volume 26, Issue 6, March 15, 2025.
Linear infrared spectroscopy combined with isotope labeling and density functional theory unravels the origin of a Fermi triad in a multifunctional vibrational chromophore. Ultrafast 2DIR‐spectroscopy reports directly on the dynamics and the intramolecular vibrational energy flow pathways in the isotopically deperturbed system. Abstract Infrared probes
Claudia Gräve, Jörg Lindner, Stefan Flesch, Luis I. Domenianni, Peter Vöhringer   +4 more
wiley   +1 more source

Anifrolumab Dose Regimen Selection for a Phase 3 Trial in Lupus Nephritis

Clinical Pharmacology &Therapeutics, EarlyView.
In patients with systemic lupus erythematosus (SLE), increased type I interferon signaling is associated with increased disease activity across organs, including in the kidney, which can cause lupus nephritis (LN). Anifrolumab, which abrogates type I interferon signaling, is an approved treatment for moderate to severe SLE.
Joachim Almquist, Yen Lin Chia, Raj Tummala, Lynn Bertagnolli, David Jayne, Weifeng Tang, Catharina Lindholm   +6 more
wiley   +1 more source

How Consumers Contest Legitimacy: Skepticism Toward Corporate Social Responsibility

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Consumer skepticism toward Corporate Social Responsibility (CSR) initiatives operates not only as an individual‐level response but also as a societal governance mechanism that disciplines firms and reshapes organizational legitimacy. Drawing on in‐depth interviews with consumers in an emerging Latin American economy, this study advances an ...
Francine Zanin Bagatini, Marcelo Gattermann Perin, Janine Fleith de Medeiros   +2 more
wiley   +1 more source

Beyond the reducing valve: towards a computational neurophenomenology of altered states via deep neural networks. [PDF]

Front Psychol
Suzuki K.
europepmc   +1 more source

Generalized Beth–Uhlenbeck Entropy Formula From the Φ‐Derivable Approach

Contributions to Plasma Physics, EarlyView.
ABSTRACT We derive a generalized Beth–Uhlenbeck formula for the entropy of a dense fermion system with strong two‐particle correlations, including scattering states and bound states. We work within the Φ‐derivable approach to the thermodynamic potential.
David Blaschke, Gerd Röpke, Gordon Baym
wiley   +1 more source

Explaining the universality of biological thermal responses. [PDF]

Proc Natl Acad Sci U S A
Arroyo JI, Kempes C, West G, Marquet PA.
europepmc   +1 more source