Results 171 to 180 of about 31,878 (247)
Electromagnetic Radiation Stimulated Learning in Perovskite Nickelates
ABSTRACT Biological plasticity refers to the ability of synapses to strengthen or weaken over time. These adaptive properties play a fundamental role in learning and memory, spanning many orders of magnitude in timescales. Short‐term plasticity (STP) arises from rapid correlative activity, while long‐term plasticity (LTP) is governed by slower ...
Ranjan Kumar Patel +8 more
wiley +1 more source
A Discipline-Based Teaching and Learning Center [PDF]
Gili Marbach-Ad +2 more
openaire +1 more source
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu +11 more
wiley +1 more source
The Far-Reaching Benefits of a Fellowship Grant Program
Centers for teaching and learning are often at the forefront of innovation and provide the backbone of support to faculty and departments exploring effective teaching practices.
Hengesteg, Paul +2 more
core
A facile laser‐induced graphene–silver nanocomposite strategy enables ultrathin epidermal electrodes with low impedance, high conductivity, and excellent mechanical robustness. The porous LIG–Ag conductive network mechanically interlocked with SEBS provides stable, motion‐resistant biopotential monitoring, enabling high‐fidelity ECG, EMG, and EEG ...
Jiuqiang Li +6 more
wiley +1 more source
A design of double gradient effect is proposed to resolve the contradictory optimization on sensitivity and linearity of piezoresistive tactile sensors. The ultrawide linearity is realized by the sequential trigger of pressure‐induced gradient conductivity‐enabled linear current owing to the gradient microstructures.
Yao Fang +13 more
wiley +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu +5 more
wiley +1 more source
Based on the largest printable mesoscopic perovskite solar cells database we established, stacking model achieved precise PCE prediction (R2 = 0.73, MAE = 2.18%). Multiple experiments verified the accuracy of the model, which guided the fabrication of high‐PCE devices with an efficiency of 19.36%.
Hao Meng +9 more
wiley +1 more source
Centering Care in Justice-Centered Science Teaching and Learning
Kelly Billings +2 more
openaire +1 more source

