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
Activity theory as a framework for teaching mathematics: An experimental study. [PDF]
Loc NP +4 more
europepmc +1 more source
Accepting the Challenges: The Emerging Role of Grand Rapids Community College in Preparation of New Teachers [PDF]
In 1992, Grand Rapids Community College (GRCC) was one of six community colleges invited to participate in a NSF initiative to improve science and mathematics teaching within the state of Michigan.
Hesse, J.
core +1 more source
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
Using comics in teaching mathematics to improve junior high school students' disaster awareness. [PDF]
Mailizar M +5 more
europepmc +1 more source
Students’ Achievement In Developing Instructional Material Of Junior High School Mathematics In English Through Implementation Of Peer Assesment In Cooperative Setting [PDF]
This research proposes that to study students’ achievement in developing the instructional material of Junior High School Mathematics in English through implementation of peer assessment in cooperative setting.
Cholis , Sa’dijah
core
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
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
Unravelling Tutors' Conceptions of Teaching Mathematics in Virtual School Using a Goal-Action Model. [PDF]
Weissman S, Ayalon M, Leikin R.
europepmc +1 more source

