Cross-economy stability of predictor rankings for adolescent school belonging and mathematics anxiety: an explainable machine-learning analysis of PISA 2022. [PDF]
Liao Y, Peng Q, Li R.
europepmc +1 more source
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
Parental involvement and math anxiety: a dual pathway to the math anxiety of children. [PDF]
Wang R.
europepmc +1 more source
Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández +15 more
wiley +1 more source
Academic Performance Among Children With Sickle Cell Disease in Low- and Middle-Income Countries: A Systematic Review. [PDF]
Naggayi SK +7 more
europepmc +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
Practices of Evidence-based Mathematics Interventions for Children with Autism Spectrum Disorder: A Cross-sectional Study. [PDF]
Amjad F +3 more
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
The relationship between growth mindset and mathematics achievement in Chinese middle school students: The role of achievement goals and grit. [PDF]
Dong J, Yang X, Yang X, Tan D, Wang K.
europepmc +1 more source
Adsorption‐Engineered Hydrocarbon Ionomers for Durable Proton‐Exchange Membrane Fuel Cells
Hydrocarbon ionomers suffer from oxidation‐driven interfacial degradation in PEM fuel cell cathodes, leading to catalyst instability. Here, adsorption‐engineered poly(fluorene) ionomers decouple interfacial anchoring from oxidative degradation, enabling strong catalyst–ionomer interactions while resisting electrochemical oxidation.
Heemin Park +14 more
wiley +1 more source

