Results 161 to 170 of about 355,173 (267)
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
Comparing the Weighted Gain Score and a Rasch-Based Approach for Estimating Learning Outcomes in Medical Education: Quantitative Study. [PDF]
Aliyev R +3 more
europepmc +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
This paper describes ongoing research into the teaching and learning of analogue electronics in three course units at two research-intensive universities.
Kelly, R.G. +6 more
core
Impact of COVID-19 on anatomy education: a student-based survey and future perspectives. [PDF]
Malviya KK.
europepmc +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
This study presents the design, implementation and evaluation of a CAL package included in the teaching and learning methodology of CAD-CAM-CNC modules at Sheikh Khalefa Institute in Bahrain.
Al-Hamad, Salah Madhi Ahmad
core
Effectiveness of Demonstration Observation Assistance Performance (DOAP) and Video Assisted Learning (VAL) in teaching blood pressure measurement among MBBS students. [PDF]
Potsangbam R, Paunikar V.
europepmc +1 more source
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Chronic Disease Monitoring Using Advanced Compliant Materials for Bioelectronics
Compliant bioelectronic systems enable continuous monitoring of chronic disease through soft, stretchable materials and tissue‐conformal designs that support stable electrophysiological, mechanical, and biochemical sensing. Integration of diverse sensing modalities with thoughtful material selection, device architectures, and advanced fabrication ...
Han Kim +7 more
wiley +1 more source

