Results 201 to 210 of about 55,826 (319)
How teachers address process-product dualities in mathematical argumentation processes
Fiene Bredow, Christine Knipping
openalex +1 more source
Synthetic Chromatophores for Color and Pattern Morphing Skins
Cephalopods use chromatophore organs (muscle‐actuated pigment sacs) to alter their skin color and pattern. Synthetic chromatophores, which closely mimic the mechano‐optical process found in cephalopods using stimuli‐responsive microscale hydrogel actuators, are reported.
Brennan P. Watts+5 more
wiley +1 more source
Exploring the effects of curiosity and anxiety on Mathematics teaching efficacy beliefs in primary school teachers. [PDF]
Göçer V, Özeren E.
europepmc +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
A remarkable basic hypergeometric identity. [PDF]
Krattenthaler C, Zudilin W.
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
Classification of possible solutions regarding business engineering problems by using complex Pythagorean fuzzy rough WASPAS approach. [PDF]
Mahmood T+5 more
europepmc +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