Results 11 to 20 of about 997,763 (227)
Multivariate Recurrence Analysis [PDF]
Abstract Recurrence analysis was introduced to infer the degree of separation between a “control” and an “anomaly” ensemble of, say, seasonal means simulated in general circulation model (GCM) experiments. The concept of recurrence analysis is described as a particular application of a statistical technique called multiple discriminant analysis (MDA ...
Zwiers, F., von Storch, H.
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Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach [PDF]
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 +3 more
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Insight into human pubertal growth by applying the QEPS growth model
Background Computerized mathematical models describing absolute and relative individual growth during puberty in both cm and standard deviation (SD)-scores are lacking.
Anton Holmgren +5 more
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A Multivariate Analysis of Covariance [PDF]
of treatment effects increased with treatment duration, and because one of the variables which originally had been intended for use as a concomitant control was affected by treatments. No satisfactory form of analysis for dealing with these complications was reached, and the problems raised seem worth re-examining.
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Multivariate Analysis in Metabolomics
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
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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 +8 more
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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 +6 more
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MULTIVARIATE ANALYSIS OF PEANUT MECHANIZED HARVESTING [PDF]
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 +4 more
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Multivariate analysis of hydrophobic descriptors
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
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Multivariate Generalized Multiscale Entropy Analysis
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
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