Results 231 to 240 of about 35,623 (292)
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Derivational neologisms in children's speech from Polish and English data [PDF]
Konieczna, Ewa
core
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
The GRAID-annotated Jinghpaw Corpus: Annotations and Initial Findings [PDF]
KURABE, Keita
core
Hydrocarbon membranes are a greener alternative to PFSA in PEM fuel cells, but degrade rapidly from radical attack. We present a novel strategy using poly(vinylphosphonic acid) (PVPA) as a local radical scavenger. Incorporated as an interfacial barrier, PVPA enhances chemical stability and significantly extends membrane lifetime under accelerated ...
Hendrik Sannemüller +6 more
wiley +1 more source
Deterministic hBN Bubbles as a Versatile Platform for Studies on Single‐Photon Emitters
Single‐photon emitters (SPEs) in hBN are promising for quantum technologies; however, in exfoliated samples their activation is required, limiting reproducibility of previous studies. This work introduces a large‐area MOVPE‐grown hBN platform that hosts SPEs without prior activation.
Piotr Tatarczak +8 more
wiley +1 more source
The morphosyntax of nominalizations : a case study
Dimitrios Ntelitheos
openalex +1 more source

