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SIMCA (Soft Independent Modeling of Class Analogy) Demonstrated with Characterization and Classification of Italian Olive Oil
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This article is published in Journal of AOAC International.The article was published on 1984-07-01. It has received 13 citations till now.read more
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Geographical classification of Greek virgin olive oil by non‐parametric multivariate evaluation of fatty acid composition
TL;DR: Non-parametric discriminant analysis after proper transformation of the data seems to be a suitable approach to characterise the oils according to the geographical origin and may produce a scientific basis for the assignment of an ‘appellation d'origine’ trade mark.
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Multivariate characterization of wine vinegars from the south of Spain according to their metallic content.
TL;DR: The results obtained indicated an excellent performance in both recalling and prediction ability of wine vinegar samples from the south of Spain.
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Quality of virgin olive oil as influenced by origin area.
TL;DR: In this paper, the authors investigated the influence of the origin area on the analytical and compositional variables of olive oil and found that the quality, typicality and shelf-life parameters and the flavour of the oils were largely influenced by the origin zone, i.e., by the climatic and pedologic factors of the production environment.
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Deficit schizophrenia is a discrete diagnostic category defined by neuro-immune and neurocognitive features: results of supervised machine learning
Buranee Kanchanatawan,Sira Sriswasdi,Supaksorn Thika,Sunee Sirivichayakul,André F. Carvalho,Michel Geffard,Marta Kubera,Michael Maes,Michael Maes,Michael Maes +9 more
TL;DR: The results show that schizophrenia is not a unitary disease with mere continuous differences in severity of illness between apparent subtypes, and deficit schizophrenia is a qualitatively distinct class defined by neuroimmune (autoimmune responses to TRYCATs) and neurocognitive features coupled or not with clinical (negative) symptoms.
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Precision Nomothetic Medicine in Depression Research: A New Depression Model, and New Endophenotype Classes and Pathway Phenotypes, and A Digital Self
TL;DR: In this article , the authors examined the promise of precision psychiatry to use information about a depressed person's own pan-omics, environmental, and lifestyle data, or to tailor preventative measures and medical treatments to endophenotype subgroups of depressed patients in order to achieve the best clinical outcome for each individual.