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An isolated human cranium, dated to the early Eneolithic period, was discovered in 2015 at the top of a vertical shaft in the natural Marcel Loubens gypsum Cave (Bologna area, northern Italy). No other anthropological or archaeological remains were found inside the cave. In other caves of the same area anthropic and funerary use are attested from prehistory to more recent periods. We focused on investigating the circumstances surrounding the death of this individual, since the cranium shows signs of some lesions that appear to be the results of a perimortem manipulation probably carried out to remove soft tissues. Anthropological analyses revealed that the cranium belonged to a young woman. We analysed the taphonomic features and geological context to understand how and why the cranium ended up (accidentally or intentionally) in the cave. The analyses of both the sediments accumulated inside the cranium and the incrustations and pigmentation covering its outer surface suggested that it fell into the cave, drawn by a flow of water and mud, likely from the edges of a doline. The accidental nature of the event is also seemingly confirmed by some post-mortem lesions on the cranium. The comparison with other Eneolithic archaeological sites in northern Italy made it possible to interpret the find as likely being from a funerary or ritual context, in which corpse dismemberment (in particular the displacement of crania) was practiced.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7928464 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247306 | PLOS |
J Neurol
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Department of Neurological, Neuropsychological, Morphological and Motor Sciences, University of Verona Medical School, 37134, Verona, Italy.
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View Article and Find Full Text PDFEpidemiol Psychiatr Sci
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Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Aims: There is a substantial body of literature on environmental risk associated with schizophrenia. Most research has largely been conducted in Europe and North America, with little representation of the rest of the world; hence generalisability of findings is questionable. For this reason, we performed a mapping review of studies on environmental risk for schizophrenia spectrum disorders, recording the country where they were conducted, and we linked our findings with publicly available data to identify correlates with the uneven global distribution.
View Article and Find Full Text PDFNeurology
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Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Background And Objectives: Multiple sclerosis (MS) is common in adults while myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) is rare. Our previous machine-learning algorithm, using clinical variables, ≤6 brain lesions, and no Dawson fingers, achieved 79% accuracy, 78% sensitivity, and 80% specificity in distinguishing MOGAD from MS but lacked validation. The aim of this study was to (1) evaluate the clinical/MRI algorithm for distinguishing MS from MOGAD, (2) develop a deep learning (DL) model, (3) assess the benefit of combining both, and (4) identify key differentiators using probability attention maps (PAMs).
View Article and Find Full Text PDFScience
September 2025
Dipartimento di Scienze della Terra, dell'Ambiente e delle Risorse, Universita`degli Studi di Napoli Federico II, Napoli, Italy.
We used a retrained machine learning workflow to enhance the performance of the seismic monitoring network at Campi Flegrei caldera (CFc) for improved tracking of the evolution of volcanic unrest. We analyzed the recent (1/21/22 - 03/20/25) continuous seismic data, which showed a sharp increase in seismicity at the highly populated CFc. Our analysis expanded the seismicity catalog from around 12,000 to over 54,000 earthquakes.
View Article and Find Full Text PDFAIDS
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Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
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Design: Multisite international collaboration of cohort studies.
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