Results 101 to 110 of about 6,444,331 (288)
Dual Resonant Plasmonic Infrared Pixels for Selective Optical Encoding
This study presents dual‐resonant plasmonic nanostructures for advanced optical encoding in the mid‐infrared. By optimizing plasmonic resonances in nano‐antennas within ring cavities, selective and simultaneous tunability in both the MWIR and LWIR regions is achieved.
Goekalp Engin Akinoglu+4 more
wiley +1 more source
Cronbach's alpha in mathematics education research: Its appropriateness, overuse, and alternatives in estimating scale reliability. [PDF]
Zakariya YF.
europepmc +1 more source
This review highlights recent advancements in 3DP techniques that incorporate emerging multifunctional SMP materials for applications in e‐electronics, soft actuators, biomedical devices, and more. Abstract Shape memory polymers (SMP) have recently gained significant attention as multifunctional materials for flexible and wearable electronics ...
Muhammad Yasir Khalid+4 more
wiley +1 more source
Revisiting Urban Mathematics Education: Towards Robust Theoretical, Conceptual, and Analytical Models. [PDF]
Young J+4 more
europepmc +1 more source
Computers and mathematics education
AbstractThe two main arguments of this paper are: first, that it is important for our society of the near future that every educated person understand some of the principles on which computers operate; and second, that there is an important relationship between mathematics education and computers, both in the sense that the mathematics curriculum can ...
openaire +2 more sources
Quantum Emitters in Rhombohedral Boron Nitride
Rhombohedral boron nitride (rBN) is an emerging wide‐bandgap van der Waals (vdW) material with strong second‐order nonlinear optical properties. In this work, optically‐addressable spin defects and single‐photon emitters (SPEs) are fabricated deterministically in rBN.
Angus Gale+10 more
wiley +1 more source
Influence of game-based learning in mathematics education on the students' cognitive and affective domain: A systematic review. [PDF]
Hui HB, Mahmud MS.
europepmc +1 more source
RADAR: Raman Spectral Analysis Using Deep Learning for Artifact Removal
RADAR is introduced, two lightweight deep learning models for artifact removal, capable of simultaneous denoising and correction of Raman spectra, significantly accelerating high‐quality data acquisition. This work advances Raman spectroscopy as a faster, more reliable tool for chemical analysis, with broad applications in materials science, biomedical
Joel Sjöberg+5 more
wiley +1 more source
Mathematics education in a time of crisis-a viral pandemic. [PDF]
Chan MCE, Sabena C, Wagner D.
europepmc +1 more source