Results 201 to 210 of about 71,314 (310)

Tuning the Growth Pattern of Triangular Silver Nanoplates from Lateral to Vertical by Secondary Metal Addition

open access: yesChemPhysChem, Volume 26, Issue 6, March 15, 2025.
What happens, if in the synthesis of flat silver platelets, the slow deposition of silver along twinning faults is disturbed by the addition of a nobler metal? We have looked into it and found a way to fine‐tune the metal deposition in lateral and vertical direction.
Jonas Kluitmann   +3 more
wiley   +1 more source

Hawking's Singularity Theorem for Lipschitz Lorentzian Metrics. [PDF]

open access: yesCommun Math Phys
Calisti M   +4 more
europepmc   +1 more source

Improving Genotype Imputation in High‐Dimensional Pharmacogenomics Using Multiple Imputation: Evaluation with Machine Learning Approaches

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
Multiple imputation is well‐established for handling missing data, yet its use in high‐dimensional genetic datasets remains limited. Using pharmacokinetic tuberculosis simulations and SNP data (1000 Genomes Project), we compared machine learning (ML) and traditional approaches (e.g., mean imputation and complete‐case analysis) for imputation and ...
Innocent G. Asiimwe   +6 more
wiley   +1 more source

Lorentzian bordisms in algebraic quantum field theory. [PDF]

open access: yesLett Math Phys
Bunk S, MacManus J, Schenkel A.
europepmc   +1 more source

To What Extent Does ESG Performance Influence Board Engagement in Acquisition Activity?

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the relationship between boards and corporate acquisition activity. Specifically, we posit that boards with directors who have been politicians positively influence the propensity to pursue acquisitions and that ESG performance (divided into environmental, social, and governance scores) moderates this relationship.
Leticia Pérez‐Calero   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy