Using machine learning to predict student mathematics performance in six East Asian countries: evidence from PISA 2022. [PDF]
Djekourmane D +4 more
europepmc +1 more source
Sub‐Nanometer Curvature Unlocks Quantum Orbital Flexoelectricity in Graphene
In self‐assembled, reproducible, large‐area, quasi‐pristine graphene nanowrinkles, extreme curvature forces out‐of‐plane π‐electrons toward hybridization, driving a transition from classical to quantum orbital flexoelectricity. As curvature approaches the fundamental physical limit set by the C─C bond length, the resulting polarization increases by ...
Sathvik Ajay Iyengar +8 more
wiley +1 more source
Generalized mathematics self-efficacy and student engagement: the role of self-concept and mathematics anxiety. [PDF]
Bergqvist E.
europepmc +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Attitudes toward mathematics and technology predict computational thinking more strongly than digital literacy in pre-service teachers. [PDF]
Yığ KG +2 more
europepmc +1 more source
n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis +19 more
wiley +1 more source
Why does feedback work? Unpacking the serial mediation of emotion regulation and discourse skills in mathematics. [PDF]
Wu M, Liu Y, Guo J, Talib O.
europepmc +1 more source
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
Specific Contributions of Basic Numerical Skills and Working Memory to Mathematics Skills in Primary School. [PDF]
Hischa V, Niklas F, Moeller K.
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source

