Results 231 to 240 of about 2,026,223 (341)
From a database of 170 pentagonal 2D materials, 4 candidates exhibiting altermagnetic ordering are screened. Furthermore, the spin‐splitting and unconventional boundary states in the pentagonal 2D altermagnetic monolayer MnS2 are investigated. A MnS2‐based altermagnetic tunneling junction is designed and, through ab initio quantum transport simulations,
Jianhua Wang +8 more
wiley +1 more source
Recent trends in US government healthcare & behavioral health workforce departures. [PDF]
Fusilier N, Stelson E, Dill J.
europepmc +1 more source
Early School leaving in Biographical and Discourse Perspective [PDF]
openaire +2 more sources
A combinatorial library of dual‐functional antiviral oligomers incorporating N‐halamine and quaternary ammonium functionalities is developed for long‐lasting antiviral activity. The lead materials exhibit rapid and durable antiviral activity against SARS‐CoV‐2 variants and influenza H1N1, with 4 to 5 log reduction in viral copies at 5 mg mL−1 ...
Eid Nassar‐Marjiya +14 more
wiley +1 more source
Pathways into homelessness and perspectives on prevention: A qualitative study of army veterans. [PDF]
Koh KA +12 more
europepmc +1 more source
Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions
This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian +7 more
wiley +1 more source
Factors Associated with Patients Leaving Without Being Seen in a Canadian Emergency Department. [PDF]
Odorizzi S +4 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source

