Results 161 to 170 of about 1,070,537 (309)

Synergistic Effect of Gradient Conductivity and Gradient Microstructures Enabled Ultrasensitive and Ultrabroad Linear Flexible Tactile Sensors

open access: yesAdvanced Science, EarlyView.
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

Scholarship of teaching and learning of nursing faculty members: a protocol for a scoping review. [PDF]

open access: yesBMJ Open
Heidarzadeh H   +4 more
europepmc   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

open access: yesAdvanced Science, EarlyView.
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

Learning and teaching [PDF]

open access: yesHealth Information & Libraries Journal, 2005
openaire   +2 more sources

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

open access: yesAdvanced Science, EarlyView.
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

Complete Issue Volume 13 Issue 4

open access: yesJournal of the Scholarship of Teaching and Learning, 2013
Editor Journal of the Scholarship of Teaching and Learning
doaj  

Advancing the Design of High‐Efficiency Printable Hole‐Conductor‐Free Mesoscopic Perovskite Solar Cells Through Machine Learning

open access: yesAdvanced Science, EarlyView.
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

Complete Issue Volume 2 Issue 1

open access: yesJournal of the Scholarship of Teaching and Learning, 2001
Editor, Journal of the Scholarship of Teaching and Learning
doaj  

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