Results 21 to 30 of about 41,048,805 (281)
Comparative Metabolomics Analysis of Weedy Rice (Oryza spp.) across Peninsular Malaysia
Agriculture, 2023 Weedy rice (Oryza spp.) is a notorious weed that invades paddy fields and hampers the rice’s production and yield quality; thus, it has become a major problem for rice farmers worldwide. Weedy rice comprises a diverse morphology and phenotypic variation;
Intan Filzah Mahmod +5 more
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Modeling of Biomass Gasification: From Thermodynamics to Process Simulations
Energies, 2023 Biomass gasification has obtained great interest over the last few decades as an effective and trustable technology to produce energy and fuels with net-zero carbon emissions.
Vera Marcantonio +3 more
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Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis [PDF]
, 2013 A set of silver coins from the collection of Déri Museum Debrecen (Hungary) was examined by X-ray fluorescent elemental analysis with the aim to assign the coins to different groups with the best possible precision based on the acquired chemical ...
Anita Rácz +7 more
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Consumer preferences and purchasing rationales for wine: a multivariate data analysis
New Medit, 2020 The wine market is very heterogeneous and complex, being the knowledge of the behaviour and attitudes of consumers a key tool to design efficient marketing plans, namely in countries that are traditionally wine producers and consumers, such as Portugal ...
Carla Ferreira +5 more
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Multivariate Comparison of Cytokine Profiles for Normal- and Low-Bone-Density Subjects
Diagnostics, 2019 Osteoporosis is a serious worldwide public health concern. The role of the immune system in the onset of osteoporosis in postmenopausal women is an area of current research.
Kamaludin Dingle, Fawaz Azizieh
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A whitening approach to probabilistic canonical correlation analysis for omics data integration
BMC Bioinformatics, 2019 Background Canonical correlation analysis (CCA) is a classic statistical tool for investigating complex multivariate data. Correspondingly, it has found many diverse applications, ranging from molecular biology and medicine to social science and finance.
Takoua Jendoubi, Korbinian Strimmer
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Sensors, 2020 New instruments to characterize vegetation must meet cost constraints while providing accurate information. In this paper, we study the potential of a laser speckle system as a low-cost solution for non-destructive phenotyping. The objective is to assess
Maxime Ryckewaert +9 more
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Applied Multivariate Research, v.12 no.2 (complete version)
, 2006 The journal Applied Multivariate Research is sponsored by the Society for Applied Multivariate Research and specializes in publishing methodological and content papers that deal with the application of both classical and more modem multivariate ...
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Molecules, 2020 The last two decades have witnessed an increasing interest in the use of the so-called rapid analytical methods or high throughput techniques. Most of these applications reported the use of vibrational spectroscopy methods (near infrared (NIR), mid ...
Daniel Cozzolino
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MultivariateAnalysis: um pacote R para análise multivariada.
Acta Scientiarum. AgronomyStatistical analysis is essential in research. As modern production processes evolve, the increasing volume of data needing processing has demanded techniques like multivariate analysis for simultaneous data handling. Multivariate analyses are typically
Ana Luíza Medrado Monteiro +1 more
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