Results 81 to 90 of about 150,136 (266)
Multivariate analysis of the volumetric capnograph for PaCO2 estimation.
End-tidal CO2 (eTCO2) can be used to estimate the arterial CO2 (PaCO2) under steady-state conditions, but that relationship deteriorates during hemodynamic or respiratory instability. We developed a multivariate method to improve our ability to estimate the PaCO2, by using additional information contained in the volumetric capnograph (Vcap) waveform ...
Slava M, Belenkiy +6 more
openaire +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
Estimation of the Number of “True” Null Hypotheses in Multivariate Analysis of Neuroimaging Data
The repeated testing of a null univariate hypothesis in each of many sites (either regions of interest or voxels) is a common approach to the statistical analysis of brain functional images. Procedures, such as the Bonferroni, are available to maintain the Type I error of the set of tests at a specified level.
Turkheimer, F E, Smith, C B, Schmidt, K
openaire +3 more sources
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
Dealing with the Outlier Problem in Multivariate Linear Regression Analysis Using the Hampel Filter
Outliers in multivariate linear regression models can significantly distort parameter estimates, leading to biased results and reduced predictive accuracy.
Amira Wali Omer, Taha Hussein Ali
doaj +1 more source
Computing the Partial Correlation of ICA Models for Non-Gaussian Graph Signal Processing
Conventional partial correlation coefficients (PCC) were extended to the non-Gaussian case, in particular to independent component analysis (ICA) models of the observed multivariate samples. Thus, the usual methods that define the pairwise connections of
Jordi Belda +3 more
doaj +1 more source
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
Analysis of Core Temperature Dynamics in Multi-Core Processors
As technologies like Artificial Intelligence, Blockchain, Virtual Reality, etc., are advancing, there is a high requirement for High-Performance Computers and multi-core processors to find many applications in today’s Cyber–Physical World.
Leena Ladge, Y. Srinivasa Rao
doaj +1 more source
Detecting Shocks in The Economic Development Dynamics of Selected Countries
The paper examines the development of the Polish economy as well as the economies of selected countries in the period from 2001 to 2012. For that purpose, models based on the GDP growth in particular countries were built.
Janiga-Ćmiel Anna
doaj +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

