Results 131 to 140 of about 288,989 (260)
Educational action to monitor children's growth and development based on the theory of meaningful learning. [PDF]
Vieira DS +8 more
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
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler +14 more
wiley +1 more source
Electrical resistivity change upon annealing is introduced as a rapid descriptor for identifying high glass‐forming ability in metallic glasses. High‐throughput combinatorial thin‐film libraries reveal that compositions exhibiting small resistivity changes correspond to sluggish crystallization behavior and known bulk metallic glass regions, enabling ...
Haechan Jo +5 more
wiley +1 more source
Aprendizaje significativo crítico (Critical meaningful learning)
Moreira Marco Antonio
doaj
Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts
Mechanistically interpretable artificial intelligence screens nearly seven million perovskite compositions and identifies key descriptors—d‐p hybridization and densification resistance—that govern oxygen electrocatalysis. The discovered BaCo0.8Nb0.1Zr0.1O3‐δ achieves a record 2.68 W cm−2 peak power density at 600°C with over 500 h of durable operation ...
Xueyu Hu +15 more
wiley +1 more source
Generative AI in physical education and health: a narrative review and conceptual framework for interdisciplinary thematic learning. [PDF]
Zhu G +6 more
europepmc +1 more source
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee +13 more
wiley +1 more source
Task-aligned outcome learning in psychiatry: reducing endpoint dilution. [PDF]
Strobl EV.
europepmc +1 more source

