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Published in 2018 at "Astronomische Nachrichten"
DOI: 10.1002/asna.201813504
Abstract: Studying the GRBs' gamma-ray spectra may reveal some physical information of Gamma-ray Bursts. The Fermi satellite observed more than two thousand GRBs. The FERMIGBRST catalog contains GRB parameters (peak energy, spectral indices, intensity) estimated for…
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Keywords:
multivariate statistics;
grbs multivariate;
gbm grbs;
fermi gbm ... See more keywords
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Published in 2024 at "Journal of the science of food and agriculture"
DOI: 10.1002/jsfa.13607
Abstract: BACKGROUND Mycotoxin surveys play an essential role in our food safety system. The obtained occurrence data form the basis for the assessment of the exposure of humans and animals to these toxic fungal secondary metabolites.…
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Keywords:
mycotoxin;
multivariate statistics;
food;
secondary fungal ... See more keywords
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Published in 2017 at "Ecological Indicators"
DOI: 10.1016/j.ecolind.2016.08.048
Abstract: Abstract There is a need for sensitive bio-monitoring and indicator tools in toxicant impact assessment to show the effect on fish health. Histopathological assessment of fish tissue is a bio-monitoring tool allowing for early warning…
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Keywords:
indicator;
histopathological changes;
health;
multivariate statistics ... See more keywords
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Published in 2021 at "Journal of environmental sciences"
DOI: 10.1016/j.jes.2020.08.027
Abstract: The Paraiba do Sul (PSR) and Guandu Rivers (GR) water diversion system (120 km long) is located in the main industrial pole of Brazil and supplies drinking water for 9.4 million people in the metropolitan region…
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Keywords:
dynamics industrialized;
geochemical partitioning;
industrialized brazilian;
trace metal ... See more keywords
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2
Published in 2023 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.2c01089
Abstract: The multiconfiguration time-dependent Hartree (MCTDH) method and its multilayer extension (ML-MCTDH) are powerful algorithms for the efficient computation of nuclear quantum dynamics in high-dimensional systems. By providing time-dependent variational orbitals and an optimal choice of…
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Keywords:
time;
time dependent;
dependent hartree;
factor analysis ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2862940
Abstract: The explosion of different fault detection (FD) statistics in multivariate statistics-based FD approaches has meant that the practitioner is faced with the unenviable job of determining which to use in a given circumstance. Moreover, compared…
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Keywords:
detecting multiplicative;
detection;
statistics based;
statistics detecting ... See more keywords
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Published in 2021 at "Revista Caatinga"
DOI: 10.1590/1983-21252021v34n317rc
Abstract: ABSTRACT Water scarcity is one of the main problems in the Semiarid region of Brazil, which can be mitigated by water resource management strategies. The objective of this work was to classify waters of a…
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Keywords:
water;
estat stica;
multivariate statistics;
stica multivariada ... See more keywords
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Published in 2020 at "Frontiers in Molecular Biosciences"
DOI: 10.3389/fmolb.2020.598369
Abstract: Metabolomics has been increasingly applied to biomarker discovery, as untargeted metabolic profiling represents a powerful exploratory tool for identifying causal links between biomarkers and disease phenotypes. In the present work, we used untargeted metabolomics to…
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Keywords:
metabolomic analysis;
treated animals;
bile acid;
multivariate statistics ... See more keywords
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Published in 2025 at "Frontiers in Nutrition"
DOI: 10.3389/fnut.2025.1719311
Abstract: Introduction As a popular supplement in the world, ginseng occupies a prominent position in the health food industry. With the expansion of the consumer market, ginseng products have gained wider applications. Previous studies have mainly…
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Keywords:
multivariate statistics;
quality characteristics;
flavor;
ginseng ... See more keywords
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2
Published in 2022 at "Foods"
DOI: 10.3390/foods11070910
Abstract: This review takes a snapshot of the main multivariate statistical techniques and methods used to process data on the concentrations of wine volatile molecules extracted by means of solid phase micro-extraction and analyzed using GC-MS.…
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Keywords:
use multivariate;
wine volatile;
statistics processing;
data wine ... See more keywords
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Published in 2024 at "Molecules"
DOI: 10.3390/molecules29246027
Abstract: High-Performance Thin Layer Chromatography (HPTLC) is widely utilized in natural products research due to its simplicity, low cost, and short total analysis time, including data treatment. While bioautography can be used for rapid detection of…
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Keywords:
multivariate statistics;
compounds complex;
bioactive compounds;
hptlc combined ... See more keywords