Results 211 to 220 of about 22,611 (260)

Recovery Factor of Pure Helium Injection in Depleted Gas Reservoirs and Its Influencing Factors

Energy Science &Engineering, EarlyView.
This study employs compositional numerical simulation to systematically investigate the effects of injection rate, production rate, storage duration, and injection‐production scheme on pure helium recovery in depleted gas reservoirs. Low injection rates reduce viscous fingering while high production rates maximize near‐wellbore helium extraction ...
Shijie Zhu, Danlin Chen, Yang Wang, Zuping Xiang, Zhijun Li, Mengna Yang, Da Li   +6 more
wiley   +1 more source

Theory and simulations of delayed stochastic and deterministic models of prion diseases. [PDF]

J Math Biol
Boregowda G, Sharif O, Gutierrez Iii D, Simmons A, Pujo-Menjouet L, Oraby T, Lindstrom MR.   +6 more
europepmc   +1 more source

Inter‐Material Transfer Learning for Accelerated Nanofluid Heat Transfer Prediction: A Machine Learning Approach for Energy Systems

Energy Science &Engineering, EarlyView.
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah, Aymen Ochi, Sonia Bezi   +2 more
wiley   +1 more source

Maintenance of polymorphism in spatially heterogeneous environments. [PDF]

Genetics
Sakamoto T, Yeaman S.
europepmc   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos, Thierry Betti, Theophilos Papadimitriou, Amélie Barbier‐Gauchard, Periklis Gogas   +4 more
wiley   +1 more source

Koopman mode decomposition of thermodynamic dissipation in nonlinear Langevin dynamics. [PDF]

Proc Natl Acad Sci U S A
Sekizawa D, Ito S, Oizumi M.
europepmc   +1 more source

DSGE Model Forecasting: Rational Expectations Versus Adaptive Learning

Journal of Forecasting, EarlyView.
ABSTRACT This paper compares within‐sample and out‐of‐sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets, and Wouters model is the chosen laboratory using quarterly real‐time euro area data vintages, covering 2001Q1–2019Q4.
Anders Warne
wiley   +1 more source

Particle swarm optimized deep learning for jamming detection and throughput enhancement in cognitive radio networks. [PDF]

Sci Rep
Imran M, Ibrahim K, Zhiwen P, Nan L, Qahmash A, Atteia G, Akram T.   +6 more
europepmc   +1 more source

A multilevel perspective on MSH6‐associated Lynch syndrome: Integrating molecular, biological, and clinical insights

International Journal of Cancer, EarlyView.
Abstract Lynch syndrome (LS) is the most common hereditary colorectal cancer syndrome, caused by a germline pathogenic variant in one of the mismatch repair (MMR) genes. Among these, MSH6‐associated LS represents a distinct subtype with unique molecular and clinical characteristics.
Salwa Ben Yahia, Anne‐Sophie van der Werf‐'t Lam, Madalina Cabuta, Maartje Nielsen, Noah C. Helderman   +4 more
wiley   +1 more source

Harnessing non-equilibrium forces to optimize work extraction. [PDF]

Nat Commun
Olsen KS, Goerlich R, Roichman Y, Löwen H.   +3 more
europepmc   +1 more source