PCA

Spatial distribution of levoglucosan and alternative biomass burning tracers in atmospheric aerosols, in an urban and industrial hot-spot of Central Italy

Domestic biomass heating and wildfires strongly affect particulate matter (PM) concentration in the atmosphere. The individuation of alternative chemical tracers may provide a valuable tool to apportion different possible contributions to biomass burning.

A multivariate statistical approach for the estimation of the ethnic origin of unknown genetic profiles in forensic genetics

DNA typing and genetic profile data interpretation are among the most relevant topics in forensic science; among other applications, genetic profile’s capability to distinguish biogeographic information about population groups, subgroups and affiliations have been largely explored in the last decade. In fact, for investigative and intelligence purposes, it is extremely useful to identify subjects and estimate their biogeographic origins by examining the recovered DNA profiles from evidence on a crime scene.

Deep L1-PCA of time-variant data with application to brain connectivity measurements

L1-Principal Component Analysis (L1-PCA) is a powerful computational tool to identify relevant components in data affected by noise, outliers, partial disruption and so on. Relevant efforts have been made to adapt its powerful summarization capacity to time variant data, e.g. in tracking the evolution of L1-PCA components. Here, we analyze a layered version of L1-PCA, to which we refer to as Deep L1-PCA. Deep L1-PCA is obtained by recursive application of two stages: estimation of L1-PCA basis and extraction of the first rank projector.

Effects of processing on polyphenolic and volatile composition and fruit quality of clery strawberries

Strawberries belonging to cultivar Clery (Fragaria x ananassa (Duchesne ex Weston)), cultivated in central Italy were subjected to a multi‐methodological experimental study. Fresh and defrosted strawberries were exposed to different processing methods, such as homogenization, thermal and microwave treatments. The homogenate samples were submitted to CIEL*a*b* color analysis and Head‐Space GC/MS analysis to determine the impact of these procedures on phytochemical composition.

Modeling Epac1 interactions with the allosteric inhibitor AM-001 by co-solvent molecular dynamics

The exchange proteins activated by cAMP (EPAC) are implicated in a large variety of physiological processes and they are considered as promising targets for a wide range of therapeutic applications. Several recent reports provided evidence for the therapeutic effectiveness of the inhibiting EPAC1 activity cardiac diseases. In that context, we recently characterized a selective EPAC1 antagonist named AM-001. This compound was featured by a non-competitive mechanism of action but the localization of its allosteric site to EPAC1 structure has yet to be investigated.

High-resolution magic angle spinning nuclear magnetic resonance (HR-MAS-NMR) as quick and direct insight of almonds

Almonds are the tasty seeds of Prunus dulcis plants globally
appreciated for the pleasant palatability and remarkable nutritional
value, therefore it is very spread as snack and as basic
ingredient of the confectionery products. The HR-MAS-NMR is a
simple spectroscopy able to directly and quickly explore the
chemical composition of powdered seed samples dispersed in
D2O. 1H spectra witness the remarkable presence of triglyceride
fatty esters together with sucrose; other minor water soluble

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