Results 231 to 240 of about 1,721,367 (299)

Galinstan Liquid Metal/Polyurethane Composite as a Multifunctional Stretchable Electrode and Piezoresistive Strain Sensor With Minimal Drift

Advanced Materials Technologies, EarlyView.
Liquid metal additives are processed in elastomer host resulting in highly conductive and stretchable composites. The material functions as a piezoresistive sensor with minimal drift, low stiffness, and enhanced operating range. The film can replace wires to charge a mobile phone at ∼350% strain and monitors bodily motion in real‐time via a portable ...
Patryk Wojciak, Neeraj Kumar, Toby Hallam, Shayan Seyedin   +3 more
wiley   +1 more source

Culturally responsive assessment in mathematical word problems and numerical cognition in multilingual education. [PDF]

Sci Rep
Ntumi S, Adzifome SN, Nyamekye T, Vedor FK.   +3 more
europepmc   +1 more source

Stress‐Normalized Sensitivity as a Comparative Benchmark for Intrinsically Piezoresistive Nanocomposite Materials in Wearable Electronics

Advanced Materials Technologies, EarlyView.
A stress‐normalised sensitivity metric (S = G/Y) is introduced as a materials‐level benchmark for intrinsically piezoresistive nanocomposites. By decoupling electromechanical response (G) from stiffness (Y), the framework enables direct comparison across diverse systems and clarifies design trade‐offs for wearable sensors.
Conor S. Boland
wiley   +1 more source

Effects of the AMPPS One-on-One Mathematics Intervention on Students' Complex Computation, Word-Problem Solving, and Math Self-Concept. [PDF]

Behav Sci (Basel)
Newson NK, Begeny JC, Davidson FL, Codding RS, Kromminga KR.   +4 more
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

A fractional-order approach to predator-prey interactions: Modeling fear and disease dynamics with memory effects. [PDF]

PLoS One
Rahmi E, Anggriani N, Panigoro HS, Peter OJ.   +3 more
europepmc   +1 more source

Short-term forecasting of Indonesia electricity generation using MATLAB based on NARX neural network. [PDF]

PLoS One
Pranata N, Saputri FR.
europepmc   +1 more source

Formulation of a spatiotemporal model for the analysis of neonatal mortality amidst SDG interventions: The case of Uganda. [PDF]

PLoS One
Bamwebaze G, Waititu GA, Awichi RO, Adebanji AO.   +3 more
europepmc   +1 more source

Effects of students' mathematics learning strategy and perceived task difficulty on their achievement of mathematics. [PDF]

PLoS One
Eka WD, Tola TT, Negasi RD.
europepmc   +1 more source