Archivio Istituzionale della Ricerca- Università del Salento
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Recensione di: Noëlle-Laetitia Perret, Hans-Joachim Schmidt (ed.), Memories Lost in the Middle Ages. Collective Forgetting as an Alternative Procedure of Social Cohesion/L’oubli collectif au Moyen Âge. Un autre processus constitutif de la cohésion sociale, Turnhout (Brepols) 2023, in “Francia-Recensio” 2025/1, Mittelalter - Moyen Âge (500–1500).
No full textActigraphy validation in behavioral variant frontotemporal dementia
No full textBackground: Actigraphy is increasingly being used to assess sleep in patients with neurodegenerative diseases. However, information on its accuracy relative to polysomnography (PSG) in this clinical population remains scarce. This study investigates the performance of actigraphy compared to PSG in patients with behavioral variant frontotemporal dementia (bvFTD), which is the leading form of early-onset dementia. Methods: Eighteen patients with bvFTD (10 males, mean age 70.50 +/- 8.48 years) underwent overnight, in-home PSG while concurrently wearing an actigraph on their non-dominant wrist. Actigraphy performance was assessed through discrepancy analysis, Bland-Altman plots, and epoch-by-epoch analysis (EBE). Analyses were conducted separately for the Cole-Kripke and UCSD scoring algorithms. Results: Discrepancy analysis highlighted that the Cole-Kripke and UCSD algorithms overestimate total sleep time (by 43 and 60 min, respectively) and sleep efficiency (by 7.13 % and 10.33 %, respectively). The Cole-Kripke algorithm also overestimates sleep onset latency (by 7.75 min). Wake after sleep onset (WASO) showed a negative proportional bias for both algorithms, indicating that actigraphy underestimates WASO for subjects with longer PSG-measured WASO. In the EBE analysis, the Cole-Kripke algorithm shows an accuracy of 84 % (sensitivity 93 %, specificity 62 %) and the UCSD algorithm an accuracy of 85 % (sensitivity 96 %, specificity 57 %). Conclusions: In patients with bvFTD, actigraphy significantly overestimates total sleep time, sleep latency, and sleep efficiency, while underestimating WASO. Clinicians and researchers using actigraphy to study sleep in bvFTD must carefully consider these measurement biases and correct for them based on the results of previous comparison studies
DAI SOCIAL ALLA TV: LA COMUNICAZIONE SENZA INTERMEDIARI DI GIORGIA MELONI
No full textSaggio sulla comunicazione di Giorgia Melon
Pathways to Greener Primary Lithium Extraction for a Really Sustainable Energy Transition: Environmental Challenges and Pioneering Innovations
Get PDFDIA/SWATH-Mass Spectrometry Revealing Melanoma Cell Proteome Transformations with Silver Nanoparticles: An Innovative Comparative Study
No full textA machine learning approach to predict mortality and neonatal persistent pulmonary hypertension in newborns with congenital diaphragmatic hernia. A retrospective observational cohort study
Get PDFCongenital diaphragmatic hernia (CDH) has high morbidity and mortality rates. This study aimed to develop a machine learning (ML) algorithm to predict outcomes based on prenatal and early postnatal data. This retrospective observational cohort study involved infants with left-sided CDH, born from 2012 to 2020. We analyzed clinical and imaging data using three classification algorithms: XGBoost, Support Vector Machine, and K-Nearest Neighbors. Medical records of 165 pregnant women with CDH fetal diagnosis were reviewed. According to inclusion criteria, 50 infants with isolated left-sided CDH were enrolled. The mean o/eLHR was 37.32%, and the average gestational age at delivery was 36.5 weeks. Among these infants, 26 (52%) had severe persistent neonatal pulmonary hypertension (PPHN), while 24 (48%) had moderate or mild form; 37 survived (74%), and 13 did not (26%). The XGBoost model achieved 88% accuracy and 95% sensitivity for predicting mortality using ten features and 82% accuracy for PPHN severity with 14 features. The area under the ROC curve was 0.87 for mortality and 0.82 for PPHN severity. Conclusion: ML models show promise in predicting CDH outcomes and supporting clinical decisions. Future research should focus on more extensive studies to refine these algorithms and improve care management. Clinical trial registration: NCT04609163
Un profeta pagano che dice la verità: a proposito di Tit. 1,12 nei primi secoli del cristianesimo
Get PDFLo studio focalizza l'attenzione su alcune delle occorrenze di Tit. 1:12
nei primi scrittori cristiani, evidenzia l'interpretazione di questo versetto in diversi
contesti storici e culturali e tenta di contribuire alla storia della
ricezione del testo del Nuovo Testamento nel cristianesimo primitivo e più in generale alla
storia della cultura tardoantica
Pupillometric signature of implicit learning of statistical regularities
Get PDFAnimals learn about the statistical regularities of their environment by a process of implicit learning, a powerful mechanism that may operate by mere exposure.1 Implicit learning supports processes such as speech acquisition but also learning about the spatial and temporal structure of the world more generally, which is essential for effective interaction.2 Here, we used a frequency-tagging technique to demonstrate a pupillometric signature of the learning of the temporal structure (pairing of numerosities) of sequential arrays. Although the numerosity pairings were unnoticed by all participants, the pupil responded clearly to their repetition frequency (1 Hz). Pupillometry allowed us to track the learning as it unfolded (the response became significant after less than 3 min of passive viewing), without ever directing attention to the temporal structure of the stimuli. Diverting attention away from the numerosity feature did not prevent learning, but it did affect the dynamics of the response acquisition. A clear pupillometric response was also elicited by pairing dyads of digits. In all our stimuli, the local features were randomized, implying that learning successfully generalized across stimuli that were locally different and only acquired a temporal structure once their global statistics (overall shape or numerosity) were extracted
Adverse impacts of off-road vehicles on coastal dune vegetation are widespread, substantial, and long-lasting: Evidence from a global meta-analysis of sandy beach-dune systems
No full textOcean shores are among the most spectacular and sought-after sites for leisure activities, including ‘nature and wilderness experiences’. Some of these activities can involve the use of off-road vehicles (ORVs) driven across extensive stretches of sandy coastlines. Yet, this recreation mode can be controversial because of environmental, cultural, social, and ethical concerns. However, ORV users often question the putative impacts, especially the ecological aspects. 2: Here, we review the available published data about the ecological impacts of vehicles on coastal plants. We focus on vegetation because of its critical role in coastal resilience and its foundational role in the structure and function of dune-beach systems. The principal type of evidence is a formal meta-analysis of effect sizes that can be unambiguously linked to ORV use. 3: The evidence of serious ecological harm caused by ORVs to plants of beach-dune habitats is geographically widespread, extensive in taxonomic coverage (253 species, 174 genera, and 64 families), sizeable in the magnitude of reported impacts (443 records) and statistically robust (significant negative departures from zero responses). 4: Vegetation stressed by ORVs typically has substantially reduced abundance, cover, biomass, area, occurrence, diversity, and productivity. ORVs also significantly alter the composition and structure of assemblages. 5: Degradation occurs rapidly, with the first few vehicle passes causing most of the damage. Thresholds of impact can be exceptionally low (one or two cars separated by weeks), implying that in many cases, dunes and the back-shore of beaches have extremely limited resilience to repeat traffic by off-road vehicles: No ‘safe threshold’ of use may exist. 6: Recovery after closure to off-road vehicles is highly variable, depending on species traits (slower for woody shrubs) and habitat conditions (slower for back-dunes). It can be protracted, with some assemblages typically taking around a decade or more to recover. 7: The exceptionally low tolerance of many coastal plant species and habitats translates into policies to phase out ORV use on ocean shores and dunes. Spatial closures and strict controls should be the mainstay of management interventions, supplemented by novel approaches seeking to identify where and when environmentally safe and benign practices may exist and whether these can be culturally and ethically acceptable