Competences Enabling Young Germans to Engage in Activities for Climate Protection and Global Health. [PDF]
Gehrau V+6 more
europepmc +1 more source
Reform Teaching in Mathematics and Science Courses — A Follow-Up Evaluation [PDF]
Bass, G. M., Jr.
core +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong+12 more
wiley +1 more source
Maternal infections during pregnancy and offspring cognitive outcome: A nationwide full-sibling cohort study. [PDF]
Husby A+3 more
europepmc +1 more source
It provides an overview of the synthesis of organic/inorganic nanocomposites, spanning from conventional methods to advanced 3D printing techniques. It summarizes key challenges in 3D‐printed nanocomposites and highlights emerging innovations, including 5D printing, AI‐assisted material design, nanoscale additive manufacturing, and sustainable closed ...
Liwen Zhang+8 more
wiley +1 more source
Exploring the relationship between AI literacy, AI trust, AI dependency, and 21st century skills in preservice mathematics teachers. [PDF]
Zhang D+5 more
europepmc +1 more source
Mathematical Modelling of Weak Points in Critical Infrastructure
In recent years, cyber attacks targeting critical infrastructure have emerged as a significant threat, with railway systems serving as a prominent example. This thesis aims to mathematically model the railway system to find traffic-related weaknesses and use these to analyze cyber-attacks within the framework of a Stackelberg game.
openaire +1 more source
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu+9 more
wiley +1 more source
Factors influencing AI adoption by Chinese mathematics teachers in STEM education. [PDF]
Du W, Cao Y, Tang M, Wang F, Wang G.
europepmc +1 more source