Results 21 to 30 of about 23,172,199 (238)

Rapid screening and visual tracing of melamine in soybean meal by NIR microscopy imaging [PDF]

open access: yesJournal of Innovative Optical Health Sciences, 2014
Near infrared microscopy imaging offers the opportunity to explore not only what kinds of chemical species are present at micro-scale level but also where the chemical species would be present.
Zengling Yang   +4 more
doaj   +1 more source

BrainStat: A toolbox for brain-wide statistics and multimodal feature associations

open access: yesNeuroImage, 2023
Analysis and interpretation of neuroimaging datasets has become a multidisciplinary endeavor, relying not only on statistical methods, but increasingly on associations with respect to other brain-derived features such as gene expression, histological ...
Sara Larivière   +11 more
doaj   +1 more source

Univariate Analysis of Short-Chain Fatty Acids Related to Sudden Infant Death Syndrome

open access: yesDiagnostics, 2020
Sudden infant death syndrome (SIDS) is defined as the death of a child under one year of age, during sleep, without apparent cause, after exhaustive investigation, so it is a diagnosis of exclusion.
Carlos E. Galván-Tejada   +7 more
doaj   +1 more source

Univariate Time Series Analysis with Hyper Neural ODE

open access: yesJournal of Optimization, Differential Equations and Their Applications, 2023
Neural ordinary differential equations (NODE) are ordinary differential equations whose right-hand side is determined by a neural network. Hyper NODE (hNODE) is a special type of neural network architecture, which is aimed at creating such NODE system ...
Yevhen V. Koshel, Vasiliy Ye. Belozyorov
doaj   +1 more source

Univariate sensitivity analysis.

open access: yes, 2016
Univariate sensitivity analysis.
Sergio Torres-Rueda (3181923)   +6 more
core   +2 more sources

Reflections on univariate and multivariate analysis of metabolomics data

open access: yes, 2014
Metabolomics experiments usually result in a large quantity of data. Univariate and multivariate analysis techniques are routinely used to extract relevant information from the data with the aim of providing biological knowledge on the problem studied ...
Westerhuis, J.A.; id_orcid   +6 more
core   +1 more source

Effects of wheat cultivar and harvest year on technological quality studied by univariate and multivariate analyses

open access: yesCzech Journal of Food Sciences, 2007
The effects of wheat cultivar and harvest year on the wheat technological quality were studied by univariate and multivariate statistical methods. Two wheat varieties sown in the harvest years 2003-2005 were used, the first one of European (cultivar ...
Ivan Švec   +2 more
doaj   +1 more source

Optimizing Porous Transport Layers in PEM Water Electrolyzers: A 1D Two-Phase Model

open access: yesBatteries
The proton exchange membrane electrolyzer (PEMWE) has been regarded as a promising technology for converting surplus intermittent renewable energy into green hydrogen through electrochemical water splitting.
Lu Zhang, Jie Liu, Shaojie Du
doaj   +1 more source

Univariate Exploratory Data Analysis of Satellite Telemetry

open access: yesInternational Journal of Satellite Communications and Networking, 2023
Summary — Large Low Earth Orbit satellite constellations require Machine Learning methods for enabling autonomy in health keeping of the satellites. Autonomy in health keeping entail’s fault detection, isolation and reconfiguration.
M. V. Ramachandra Praveen   +5 more
openaire   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine   +17 more
wiley   +1 more source

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