Publications by authors named "Michele Di Nunzio"

Cannabis sativa, a globally commercialized plant used for medicinal, food, fiber production, and recreation, necessitates effective identification to distinguish legal and illegal varieties in forensic contexts. This research utilizes multivariate statistical models and Machine Learning approaches to establish correlations between specific genotypes and tetrahydrocannabinol (Δ-THC) content (%) in C. sativa samples.

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Article Synopsis
  • Cannabis sativa is divided into two types based on ∆9-THC content: drug-type (high THC) and fiber-type (low THC), with varying legal status across EU countries where personal use is often seen as a minor offense.
  • Despite its legal variations, cannabis remains highly trafficked in the EU, making the differentiation of cannabis crops essential for law enforcement, which can be aided by analyzing chloroplast DNA (cpDNA) markers.
  • The study developed five SNaPshot™ assays on nine cpDNA markers to analyze 122 cannabis samples from multiple regions, successfully distinguishing marijuana from hemp and highlighting genetic differences linked to biogeographical origins.
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In Italy, a person suffering from a mental disorder who commits a crime will be given a custodial security order and serve the period of admission at a (Residence for the Execution of Security Measures, hereinafter "REMS"). These institutions have been established recently and though equipped with the necessary safety measures, the focus is on psychiatric therapy. Despite being present on a national scale, access is very limited in terms of capacity.

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Bisphenol A (BPA), a chemical -xenoestrogen- used in food containers is present in the urine of almost the entire population. Recently, several extensive population studies have proven a significant association between urinary excretion of BPA and albuminuria. The alteration of glomerular podocytes or "podocytopathy" is a common event in chronic albuminuric conditions.

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The study aims to identify independent predictors of physical restraint in acute psychiatric patients and to determine the predictive power of a risk assessment model centered on psychopathological dimensions. We included 1552 patients admitted to a psychiatric intensive care unit over a 5-year period. Patients were rated on the Brief Psychiatric Rating Scale (BPRS-E) at admission.

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