Results 121 to 130 of about 2,440,721 (342)
Multivariate Statistical Analysis in the Real and Complex Domains
A. M. Mathai +2 more
openalex +1 more source
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among rheumatology patients, and their associations with patient factors, patient reported perceived side effects and positive impacts. Methods An online survey (delivered from March to November 2022) was distributed by Alberta Health Services to ...
Susan Zhang +10 more
wiley +1 more source
Neighborhood Socioeconomic Status and Short‐Term Functional Outcomes in Systemic Lupus Erythematosus
Objective Individuals with SLE can accumulate functional status (FS) impairment. We evaluated the association between neighborhood socioeconomic disadvantage, as measured by the area deprivation index (ADI), and FS in a national SLE sample. Methods Data were derived from RISE, a national electronic health record‐based registry.
Baljeet Rai +7 more
wiley +1 more source
Vegetation indices are used to analyze vegetation dynamics and primary productivity. However, most studies rely on short time series and peak or integral metrics, which limit the understanding of long-term vegetation dynamics in heterogeneous areas. This
Alejandra Nahiely Espinoza-Coronado +5 more
doaj +1 more source
Objective This study aims to investigate lifestyle‐related factors in patients with psoriatic arthritis (PsA) and their association with disease activity measurements. Methods This multicenter cohort included 938 patients newly diagnosed with PsA, between 2013 and 2023. A composite lifestyle risk score (range 0 to 5) was calculated using five lifestyle‐
Batoul Hojeij +11 more
wiley +1 more source
Principal Components Analysis of Employment in Eastern Europe [PDF]
For the last decade, the employment structure is one of the fastest changing areas of Eastern Europe. This paper explores the best methodology to compare the employment situations in the countries of this region.
Mirko Savić
core
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +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

