Results 201 to 210 of about 37,180 (284)

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Computational thinking in university students: The role of fluid intelligence and visuospatial ability. [PDF]

PLoS One
Aranyi G, Kovacs K, Kemény F, Pachner O, Klein B, Remete EP.   +5 more
europepmc   +1 more source

The Influence of Online STEM Education Camps on Students' Self-Efficacy, Computational Thinking, and Task Value. [PDF]

J Sci Educ Technol, 2022
Chiang FK, Zhang Y, Zhu D, Shang X, Jiang Z.   +4 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Analysis of Gender Issues in Computational Thinking Approach in Science and Mathematics Learning in Higher Education. [PDF]

Eur J Investig Health Psychol Educ
De la Hoz Serrano A, Melo Niño LV, Álvarez Murillo A, Martín Tardío MÁ, Cañada Cañada F, Cubero Juánez J.   +5 more
europepmc   +1 more source

Gender differential item functioning analysis in measuring computational thinking disposition among secondary school students. [PDF]

Front Psychiatry, 2022
Sovey S, Osman K, Matore MEEM.
europepmc   +1 more source

The Anisotropic Adsorption of De Novo Allosteric Two‐Component Protein Fibers on Mica Surfaces

Advanced Functional Materials, EarlyView.
In this study, the interfacial behavior of de novo designed proteins that self‐assemble into tubular architectures with distinct morphologies — small (S), large (L), and helical (H) fibers — at the muscovite mica‐water interface is explored using in situ AFM. Abstract Protein adsorption at solid–liquid interfaces underlies many biomedical and materials
Chenyang Shi, Hao Shen, Yuna Bae, Jaeyoung Heo, Shuai Zhang, Lehan Yao, David Baker, James J De Yoreo   +7 more
wiley   +1 more source

Exploring computational thinking, executive functions, visuospatial skills and experiences with toys in early childhood: Protocol for a controlled trial. [PDF]

MethodsX
Robledo-Castro C, Vieira Mejía C, Chiu J.   +2 more
europepmc   +1 more source

Development of a CDIO Framework for Teacher Training in Computational Thinking

, 2017
Stephanie Hladik
openalex   +2 more sources

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source