Results 221 to 230 of about 4,590,837 (353)
The Challenge of Handling Structured Missingness in Integrated Data Sources
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 +6 more
wiley +1 more source
Antimicrobial stewardship interventions involving community pharmacy teams: a scoping review. [PDF]
Zerbinato F, Cunningham S, Tonna AP.
europepmc +1 more source
Screening Community Pharmacy Patients for Risk of Prescription Opioid Misuse
Gerald Cochran +4 more
openalex +1 more source
Joint College of Pharmacy-Community Pharmacy Residencies
Arthur I. Jacknowitz, Michele A. Belsey
openaire +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
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
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 +3 more
wiley +1 more source
Healthcare providers' perspectives on collaboration of care for acute cystitis in women and the role of the community pharmacy: A qualitative study. [PDF]
Gemmeke M +3 more
europepmc +1 more source
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source

