Results 101 to 110 of about 2,433 (265)

Embodied, Enacted, and Multimodal: Exploring Science Teachers’ Metaphors in Authentic Classroom Contexts

Science Education, EarlyView.
ABSTRACT Over the past decades, science education research has extensively examined the role of metaphors in teaching and learning science. However, much of the existing research has focused on verbal manifestations of metaphors, thereby overlooking aspects of metaphors that may occur in non‐verbal form. This study reconceptualises metaphors as dynamic
Magdalena Kersting, Priscila Kohler, Marianne Ødegaard   +2 more
wiley   +1 more source

High Order Asymptotic Preserving and Classical Semi-implicit RK Schemes for the Euler-Poisson System in the Quasineutral Limit [PDF]

, 2022
K. R. Arun, Nicolas Crouseilles, S. Samantaray   +2 more
openalex   +1 more source

Key Technical Fields and Future Outlooks of Space Manipulators: A Survey

SmartBot, EarlyView.
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen, Zeyuan Huang, Ying Yan, Xiaokang An, Zhikai Zhao, Jirong Lin, Xiangrong Zhao, Xianyuan Gao, Junyi Zong, Xuewen Jia, Zhipeng Yao, Jianliang Liao, Ning Ji   +12 more
wiley   +1 more source

Computer Modeling of the Ferrite‐To‐Austenite Transformation in a Super‐Duplex Stainless Steel and the Important Role of Trans‐Interface Diffusion

steel research international, EarlyView.
An accurate moving boundary model for volume diffusion containing boundary conditions from trans‐interface diffusion (TID) simulates the austenite growth during cooling. TID of Cr, Mo, N and Ni enhance growth kinetics. Without TID, compositions of the interface region change, decreasing the driving force for growth and finally causing numerical ...
A. Salwén, T. Müller, S. Nouhi, J. Y. Jonsson   +3 more
wiley   +1 more source

Double‐Integration‐Enhanced Stochastic Gradient Descent Based on Neural Dynamics for Improving Generalisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li, Longbang Wang, Jiexing Li, Jicheng Li   +3 more
wiley   +1 more source

Error analysis of the implicit Euler scheme for the Maxwell–Kerr system

, 2023
We establish first-order convergence of the implicit Euler scheme for the quasilinear Maxwell equations with Kerr-type material laws. We only impose regularity assumption which are in accordance with the newly established wellposed theory for the PDE system. In recent literure CFL conditions had to be imposed on full discretizations of this system even
openaire   +2 more sources

APTNet: A Condition‐Sensitive Modulation Framework for Surface Pressure Prediction on Supersonic Aircraft

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate surface‐pressure prediction over broad operating envelopes is critical for supersonic aerodynamic analysis and design. To overcome the bottlenecks of traditional computational fluid dynamics (CFD) in real‐time performance and computational efficiency, data‐driven deep learning methods have emerged. However, existing data‐driven models
Hongbin Xu, Yin Long, Junlin Wu
wiley   +1 more source

A finite difference method for fractional diffusion equations with Neumann boundary conditions

Open Mathematics, 2015
A finite difference numerical method is investigated for fractional order diffusion problems in one space dimension. The basis of the mathematical model and the numerical approximation is an appropriate extension of the initial values, which incorporates
Szekeres Béla J., Izsák Ferenc
doaj   +1 more source

Comparison of a Miniaturized Implantable Two‐Stage Rotodynamic Blood Pump to Equivalent Single‐Stage Concepts

Artificial Organs, EarlyView.
This study aims to evaluate the potential of a multistage pump design to enhance hemocompatibility in left ventricular assist devices. We found that the two‐stage concept offers favorable hemolysis measures compared to single‐stage designs, as the reduction in peak shear stresses outweighs the disadvantage associated with prolonged residence time ...
Sarah Linnemeier, Bente Thamsen, Stefan Maric, Bernhard Semlitsch, Benjamin Torner, Daniel Zimpfer, Marcus Granegger   +6 more
wiley   +1 more source

SDFs from Unoriented Point Clouds using Neural Variational Heat Distances

Computer Graphics Forum, EarlyView.
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier, Florine Hartwig, Josua Sassen, Sergio Conti, Mirela Ben‐Chen, Martin Rumpf   +5 more
wiley   +1 more source