Results 301 to 310 of about 767,862 (371)

You have ALS: a nurse's revolt against despair. [PDF]

J Res Nurs
Aronsen J.
europepmc   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

New extensive sampling transforms our understanding of global marine diversity. [PDF]

PLoS Biol
Belmaker J.
europepmc   +1 more source

Socrates, Dialogue, and Us: Ignorance as Learning Paradigm [PDF]

, 2011
Keller, Deborah Biss, Keller, J. Gregory
core  

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Uncertainty management strategies in clinical reasoning: perceptions of nurses in post-anesthesia care units. [PDF]

BMC Nurs
Cunha LDM, Han PKJ, Ventura F, Pestana-Santos M, Lomba L, Santos MR.   +5 more
europepmc   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Inaccurate information regarding cardiovascular disease prevention enabled by generative artificial intelligence. [PDF]

Am J Prev Cardiol
Al-Dalakta A, Honnekeri B, Rodriguez F, Laffin L, Sunder V, Bruemmer D, Cho L, Nissen SE, Sarraju A.   +8 more
europepmc   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Inferential collective self-knowledge. [PDF]

Asian J Philos
Schwengerer L.
europepmc   +1 more source