Results 241 to 250 of about 497,585 (360)

Material Selection and Geometric Design for Few‐filament Shape Memory Polymer Yarns for Force Generation

Advanced Materials Technologies, EarlyView.
A custom shape memory polymer material selection process relates quantitative application criteria (e.g., compression garment yarns) to material characterization information. The selected materials are manufactured into yarn geometries, which expand the design space by creating structural stress‐strain profiles beyond the nominal material stress‐strain
Michaela Andrews, Susan Mantell, Julianna Abel   +2 more
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

A Pressure Microsensor Made of Parylene‐C for Use as Medical Implant

Advanced Materials Technologies, EarlyView.
A monolithic parylene‐C pressure sensor with gold strain gauges provides 6.2 μV$\mu{\rm V}$·mmHg$\cdot{\rm mmHg}$−1$^{-1}$ sensitivity. The morphology of a sputtered thin film strain sensor is granular/columnar, which results in a high gauge factor of 7.5. Thermal bonding and parylene‐C coating create a hermetic cavity.
Ann‐Kathrin Klein, Victor Krajka, Andreas Dietzel   +2 more
wiley   +1 more source

Not All Math Activities Are Equal in Terms of Gender Stereotypes. [PDF]

Sex Roles
Merrick M, White AD, Diekman AB, Fyfe ER.   +3 more
europepmc   +1 more source

Tunable‐Threshold UV Dosimetry With Programmable Luminescent Tags via Oxygen‐Mediated Room‐Temperature Phosphorescence

Advanced Materials Technologies, EarlyView.
A fully organic UV threshold dosimeter is developed by exploiting the oxygen‐sensitive room‐temperature phosphorescence of a purely organic emitter in a polymer matrix. Upon reaching a specific cumulative UV dose, photochemical oxygen depletion triggers a sharp, high‐contrast emission.
Tim Achenbach, Paul‐Anton Will, Karl Sebastian Schellhammer, Sebastian Reineke   +3 more
wiley   +1 more source

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

Cognitive and Affective-Emotional Factors in Math Achievement: The Mediating Role of Intelligence. [PDF]

J Intell
Ikeda Y, Esposito L, Kita Y, Oi Y, Takagi R, Suzuki K, Mammarella IC, Caviola S, Lanfranchi S, Pulina F, Giofrè D.   +10 more
europepmc   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

Advanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

Assessing Culturally Relevant Variables in Predicting Science Outcomes in Asian American Kindergartners. [PDF]

Behav Sci (Basel)
Medrano J, Miller-Cotto D.
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