The Role of STEM Teaching in Education: An Empirical Study to Enhance Creativity and Computational Thinking. [PDF]
Suherman S +5 more
europepmc +1 more source
A Family of Sodium Solid‐State Electrolytes Based on the NaGaxAl1‐xCl4 Solid Solution
ABSTRACT Sodium‐based metal chloride solid electrolytes are promising for sodium solid‐state batteries due to their excellent oxidation stability, which, as shown for Li halides, can coexist with high ionic conductivity. To explore cationic substitution effects, we synthesized NaGaxAl1‐xCl4 (0 ≤ x ≤ 1) via ball milling and investigated structural and ...
Hao Guo, Matteo Bianchini
wiley +1 more source
AI literacy predicts computational thinking through multidimensional interactions among Chinese high school students. [PDF]
Guan Y +6 more
europepmc +1 more source
This study investigates friction and wear of AISI 52100 steel under dry sliding in CO2, air, and N2 atmospheres, with and without contact electrification. CO2 forms a stable carbon‐rich tribofilm that reduces friction by ∼30% and wear by ∼85%. High‐resolution TEM, EELS, and molecular dynamics reveal pressure‐dependent lubrication mechanisms, showing ...
Julio A. Cao‐Romero‐Gallegos +6 more
wiley +1 more source
Computational Thinking as a Novel Framework for Enhancing Cognitive Organization in Older Adults with Cognitive Frailty. [PDF]
Akiba D, Hirano M.
europepmc +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Enhancing Computational Thinking and Programming Logic Skills with App Inventor 2 and Robotics: Effects on Learning Outcomes, Motivation, and Cognitive Load. [PDF]
Huang YT, Li CL, Chang CC, Tarng W.
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Integrating and developing computational thinking in higher education using micro:bit: examining the influence on pre-service teachers' self-perceived content knowledge, attitude, and emotion toward further K-12 mathematics education. [PDF]
Jeong JS, González-Gómez D.
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source

