Results 51 to 60 of about 2,619,530 (217)
Optimizing Bull Semen Cryopreservation Media Using Multivariate Statistics Approaches. [PDF]
Mokhtassi-Bidgoli A +2 more
europepmc +1 more source
Objective The aim of this study was to determine the differences in demographic, serologic, and clinical characteristics between male and female patients with systemic sclerosis (SSc) in an Australian cohort. Methods This was a retrospective observational study using data from the Australian Scleroderma Cohort Study.
Emily Lin +14 more
wiley +1 more source
Multivariate statistics explaining groundwater chemistry, Asyut, Egypt. [PDF]
Said I +4 more
europepmc +1 more source
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang +10 more
wiley +1 more source
Multivariate statistics and hydrogeochemistry of deep groundwater at southwestern part of Bangladesh. [PDF]
Das TK +4 more
europepmc +1 more source
Neighborhood Socioeconomic Status and Short‐Term Functional Outcomes in Systemic Lupus Erythematosus
Objective Individuals with systemic lupus erythematosus (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.
Baljeet Rai +7 more
wiley +1 more source
The search for plausible economic mineral deposits in the central parts of Tanzania; insight from stream sediment geochemistry, multivariate statistics and geostatistics. [PDF]
Nunoo S, Mvile BN, Abu M, Kelimenze JD.
europepmc +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 who were newly diagnosed with PsA between 2013 and 2023.
Batoul Hojeij +11 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
wiley +1 more source
Improved identification of pollution source attribution by using PAH ratios combined with multivariate statistics. [PDF]
Mali M +5 more
europepmc +1 more source

