Results 1 to 10 of about 931,717 (291)

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

NeuroImage, 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, Şeyma Bayrak, Reinder Vos de Wael, Oualid Benkarim, Peer Herholz, Raul Rodriguez-Cruces, Casey Paquola, Seok-Jun Hong, Bratislav Misic, Alan C. Evans, Sofie L. Valk, Boris C. Bernhardt   +11 more
doaj   +1 more source

Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach [PDF]

Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu
Recent scholarly attention has surged in integrating artificial intelligence (AI) across various scientific domains, prompting a closer examination of AI’s pervasive influence on economic paradigms like the sharing economy (SE).
Veljko Uskoković, Milica Maričić, Aleksandra Dacić-Pilčević, Veljko Jeremić   +3 more
doaj   +1 more source

Insight into human pubertal growth by applying the QEPS growth model

BMC Pediatrics, 2017
Background Computerized mathematical models describing absolute and relative individual growth during puberty in both cm and standard deviation (SD)-scores are lacking.
Anton Holmgren, Aimon Niklasson, Lars Gelander, A. Stefan Aronson, Andreas F.M. Nierop, Kerstin Albertsson-Wikland   +5 more
doaj   +1 more source

A Multivariate Analiysis in Relation to Edaphical and Environmental Factors of Rangelands Vegetation of Mugla Province

Journal of Agricultural Sciences, 2020
This study was carried out in order to compare in 20 different rangeland sample areas that determined in order to environmental variables, vegetation and soil properties by multivariate ordination analysis in Mugla province.
Mehmet Öten, Cengiz Erdurmuş, Semiha Kiremitci, Mustafa Soysal, Önder Kabaş, İlker İnal, Mustafa Avcı, Celal Yücel, Mustafa Sürmen   +8 more
doaj   +1 more source

Multivariate Analysis in Metabolomics

Current Metabolomics, 2012
Metabolomics aims to provide a global snapshot of all small-molecule metabolites in cells and biological fluids, free of observational biases inherent to more focused studies of metabolism. However, the staggeringly high information content of such global analyses introduces a challenge of its own; efficiently forming biologically relevant conclusions ...
Worley, Bradley, Powers, Robert
openaire   +3 more sources

Evaluation of Discrimination Performance in Case for Multiple Non-Discriminated Samples: Classification of Honeys by Fluorescent Fingerprinting

Sensors, 2020
In this study we develop a variant of fluorescent sensor array technique based on addition of fluorophores to samples. A correct choice of fluorophores is critical for the successful application of the technique, which calls for the necessity of ...
Elizaveta A. Rukosueva, Valeria A. Belikova, Ivan N. Krylov, Vladislav S. Orekhov, Evgenii V. Skorobogatov, Andrei V. Garmash, Mikhail K. Beklemishev   +6 more
doaj   +1 more source

MULTIVARIATE ANALYSIS OF PEANUT MECHANIZED HARVESTING [PDF]

Engenharia Agrícola, 2018
The peanuts harvesting mechanization is affected by the soil physical characteristics and it may increase the losses due to the production of pods in subsurface.
Rafael H. F. Noronha, Cristiano Zerbato, Rouverson P. da Silva, Antonio T. S. Ormond, Mailson F. de Oliveira   +4 more
doaj   +1 more source

Multivariate analysis of hydrophobic descriptors

ADMET and DMPK, 2014
Multivariate approaches like principal component analysis (PCA) are powerful tools to investigate hydrophobic descriptors and to discriminate between intrinsic hydrophobicity and polar contributions as hydrogen bonds and other electronic effects.
Stefan Dove
doaj   +1 more source

Multivariate Generalized Multiscale Entropy Analysis

Entropy, 2016
Multiscale entropy (MSE) was introduced in the 2000s to quantify systems’ complexity. MSE relies on (i) a coarse-graining procedure to derive a set of time series representing the system dynamics on different time scales; (ii) the computation of the ...
Anne Humeau-Heurtier
doaj   +1 more source

Multivariate groundwater drought analysis using copulas

Hydrology Research, 2020
Drought characteristics are among major inputs in the planning and management of water resources. Although numerous studies on probabilistic aspects of meteorological drought characteristics and their joint distribution functions have been reported ...
Bahram Saghafian, Hamid Sanginabadi
doaj   +1 more source