Results 161 to 170 of about 1,178,121 (309)
Mathematics Learning Through Online Video-Based Instruction for an Autistic Child. [PDF]
Yakubova G, Defayette MA, Chen BB.
europepmc +1 more source
A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu +13 more
wiley +1 more source
Looking for "us": power reimagined in mathematics learning for Black communities in the pandemic. [PDF]
Matthews LE, Jessup NA, Sears R.
europepmc +1 more source
This study provides a translational approach for linking neural activity to tactile deficits in autism. By combining psychophysics with cortical recordings in a mouse model of autism, we show that low signal‐to‐noise ratio in somatosensory neurons weakens population encoding of fine touch, impairing detection, decoding, and leading to perceptual ...
Ourania Semelidou +7 more
wiley +1 more source
The Antecedents and Consequences of Metacognitive Knowledge in Mathematics Learning: A Self-Determination Perspective. [PDF]
Tang Y, Wang X, Fang Y, Li J.
europepmc +1 more source
Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma +5 more
wiley +1 more source
Students home alone-profiles of internal and external conditions associated with mathematics learning from home. [PDF]
Hofer SI, Reinhold F, Koch M.
europepmc +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Mathematics learning and assessment using MathE platform: A case study. [PDF]
Azevedo BF +3 more
europepmc +1 more source

