Results 191 to 200 of about 11,715 (267)

NeuronID: An automatic toolkit for identifying neurons in two-photon calcium imaging data. [PDF]

PLoS One
Peng J, Xu T.
europepmc   +1 more source

Research on Thermal Runaway Multiphysics Coupling Simulation and Sensor Optimization Layout of Lithium Iron Phosphate Energy Storage Battery Packs

Energy Science &Engineering, EarlyView.
This study explores thermal runaway in lithium‐iron‐phosphate energy storage battery packs through multi‐physics coupling simulation. Thermal runaway evolves from battery cells (experiencing overcharge, bulging, safety valve opening, and gas venting) to battery clusters (a) and propagates within the battery pack (b). Simulation results indicate: stress
Dongliang Guo, Lei Sun, Rong Sun, Jun Jia, Peng Xiao, Hailong Ruan, Xin Jiang   +6 more
wiley   +1 more source

Solid Biofuel Usage and Households' Behavior Toward Energy Choice in Northwest Ethiopia

Energy Science &Engineering, EarlyView.
This study analyzed household energy choice behavior in northwest Ethiopia using an integrated energy stacking and decision‐making framework. Evidence shows dominant reliance on solid biomass and a fuel‐stacking pattern, while urban residences, higher income, and education increase clean energy adoption, highlighting the need for pro‐poor, context ...
Habtamu Setargachew Molla, Zemen Ayalew Ayele, Essa Chanie Mussa, Marelign Adugna Mesele   +3 more
wiley   +1 more source

Enhancement of airflow uniformity in multi-tray dryers through a CFD-integrated sequential linear programming framework. [PDF]

Sci Rep
Asrate DA, Tadle FB, Mihretie YD.
europepmc   +1 more source

Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis

Flavour and Fragrance Journal, EarlyView.
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin, Romain Krafft, Sylvain Antoniotti, Sébastien Fiorucci   +3 more
wiley   +1 more source

Impact of Uncertain Parameters on Navier–Stokes Equations With Heat Transfer via Polynomial Chaos Expansion

International Journal for Numerical Methods in Fluids, EarlyView.
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, B. Després, M. A. Puscas, C. Fiorini   +3 more
wiley   +1 more source

Counting function estimates for coherent frames and Riesz sequences. [PDF]

Ann Mat Pura Appl
Papageorgiou E, van Velthoven JT.
europepmc   +1 more source

Coupled Clustering in Hierarchical Matrices for the Oseen Problem

International Journal for Numerical Methods in Fluids, EarlyView.
Fluid flow problems can be modelled by the Navier‐Stokes or, after linearization, by the Oseen equations. Their discretization results in linear systems in saddle point form which are typically very large and need to be solved iteratively. We propose a novel block structure for hierarchical matrices which is then used to build preconditioners for the ...
Jonas Grams, Sabine Le Borne
wiley   +1 more source

A Novel CEST-Based Approach for Reliably Assessing Skeletal Muscle Oxidative Phosphorylation: OXCEST. [PDF]

Magn Reson Med
Burman R, Pang Y, Bag A, Finkel RS, Ness KK, Bagga P.   +5 more
europepmc   +1 more source

Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver

International Journal for Numerical Methods in Fluids, EarlyView.
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley   +1 more source