Results 91 to 100 of about 814,860 (290)
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki +3 more
wiley +1 more source
Pre-service Teachers’ Conceptions of Mathematical Argumentation [PDF]
Drawing on a situated perspective on learning, we analyzed written, open-ended journals of 52 pre-service teachers (PSTs) concurrently enrolled in mathematics and pedagogy with field experience courses for elementary education majors.
Magiera, Marta T., Park, Heyjin
core +1 more source
Retention in Mathematics students: problems and possible approaches. [PDF]
This article describes and analyses the approach adopted by the Mathematics course team in UCLan to improve retention in the first year mathematics students.
Penazzi, Davide
core +2 more sources
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
Retracted: Design and Research of Mathematics Teaching Intelligent Classroom Based on PCA-NN Algorithm. [PDF]
Neuroscience CIA.
europepmc +1 more source
An Investigative Approach to Teaching Mathematics: Excitement and Concerns of K-8 Preservice Teachers [PDF]
Following from the recommendations of the National Council of Teachers of Mathematics, an Investigative Approach (IA) to teaching mathematics encourages students to explore real-world problems through hands-on activities instead of focusing on rote ...
Wilkins, J. L. M.
core +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Aprendiendo a enseñar geometría en primaria. Análisis de simulaciones sobre la intervención
This article shows and analyses a work developed in a context of initial training of teachers in the Geometry field. The experience starts from the need of link the training activities with the teaching-learning process of the elemental Maths.
Joaquín Giménez Rodríguez
doaj
Retracted: Effectiveness of Artificial Intelligence (AI) in Improving Pupils' Deep Learning in Primary School Mathematics Teaching in Fujian Province. [PDF]
Intelligence And Neuroscience C.
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source

