Results 91 to 100 of about 24,404,310 (382)
Feature extraction and dimensionality reduction are important tasks in many fields of science dealing with signal processing and analysis. The relevance of these techniques is increasing as current sensory devices are developed with ever higher ...
Arenas-García, Jerónimo+3 more
core +1 more source
Objective The objective of this study was to evaluate and compare the risk of hepatotoxicity associated with the use of febuxostat and benzbromarone in patients with gout. Methods New users of febuxostat or benzbromarone with monitoring of liver function at least three times in a year after initiation of the study drugs were identified from an ...
Wenyan Sun+8 more
wiley +1 more source
This study aimed to investigate the influence of forage production area, concentrate supply, and farm labor on characterization of milk production systems (MPS) and their productive results. Milk volume data provided in 2014 by 110 dairy farms located in
Guilherme Koerich+4 more
doaj +1 more source
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao+5 more
wiley +1 more source
This work had the aim to evaluate the genetic divergence in sugarcane clones using the methodology of graphic dispersion by principal components analysis associated to linear mixed models, indentifying the more divergent and productive genotypes with ...
Valéria Rosa Lopes +4 more
doaj +1 more source
A Review of Multivariate Analysis [PDF]
A survey of topics in multivariate analysis inspired by the publication of T. W. ANDERSON, An Introduction to Multivariate Statistical Analysis, 2nd ed., John Wiley & Sons, New York, 1984, xvii + 675 pages, $47.50, and WILLIAM R. DILLON and MATTHEW GOLDSTEIN, Multivariate Analysis: Methods and Applications, John Wiley & Sons, New York, 1984, xii + 587 ...
openaire +2 more sources
Revisiting Guerry's data: Introducing spatial constraints in multivariate analysis
Standard multivariate analysis methods aim to identify and summarize the main structures in large data sets containing the description of a number of observations by several variables.
Dray, Stéphane, Jombart, Thibaut
core +2 more sources
AIMSPec‐LoC is a novel lab‐on‐a‐chip platform integrating size‐based extracellular vesicle (EVs) separation with label‐free Raman spectroscopy and AI‐powered classification via SKiNET. This high‐throughput, portable system enables real‐time, multiplexed molecular fingerprinting of EVs from biofluids, offering transformative potential for early, non ...
Emma Buchan+3 more
wiley +1 more source
Multivariate Statistical Analysis and Required Sample Size
Ömer AKBULUT, Cantürk ÇAPIK
doaj +1 more source