Università degli Studi eCampus
Archivio istituzionale della ricerca - eCampus Università TelematicaNot a member yet
15106 research outputs found
Sort by
3D-Printed Devices in Interventional Radiotherapy (Brachytherapy) Applications: A Literature Review
No full textA cluster analysis of psychological variables to identify profiles of Nociplastic pain: A cross-sectional study in women with fibromyalgia, chronic headache and vulvodynia
No full textPostfazione (Ascolto, Competenza, Esperienza, Parola, Scrittura, Relazione)
No full textLe parole scelte sono analizzate da più punti di vista (non esaustivi ovviamente) dipendenti dalle competenze culturali e di ricerca degli autori, in particolare seguendo l’ottica pedagogica e la teoria della comunicazione. Sono interpretazioni, dunque, non sono leggi, come si conviene a tutte le soft sciences.
Ogni parola-zero, ogni lemma è interpretato e analizzato secondo molteplici ottiche disciplinari, ma la cosa non finisce qui. Ognuno degli autori ha cercato di trovare connessioni e rimandi con la propria competenza specifica, apportando osservazioni e modifiche in modo che il tutto si presenti nella sua necessaria articolazione complessa ma conservi allo stesso tempo una sua unità di intenti. Si tratta di quella unitas multiplex cui fa riferimento Edgar Morin. L’intuizione di recuperare alcune parole per noi fondamentali nelle nostre vite di insegnanti e ricercatori, anche al di là degli aspetti puramente professionali, ci ha fornito l’opportunità di ripensare a questi concetti a partire dal loro significato principale per poi indagarne la storia e le prospettive future. Il tentativo è quello di con-dividere la biografia di queste parole zero così come sono entrate nella nostra vita attraverso esperienze vissute e l’incontro con alcuni autori che le hanno interpretate alimentandone la forza e la vitalità
Alternative proteins: How do retailers drive the transition towards new sustainable consumption?
No full textAre credit rating agencies users of government accounting information? Evidence from the sovereign rating process
No full textIMPACT: Sovereign governments are regularly evaluated by credit rating agencies (CRAs) that perform an analysis of creditworthiness based on mostly public data. This article shows that the data used by CRAs is mainly drawn from economic and statistical accounts rather than government financial statements. Thus, CRAs cannot be considered users of financial accounting information, at least at the sovereign government level. The evidence also suggests that governmental accounting information is neglected because it lacks the fundamental quality of comparability that CRAs require, given that ratings are ordinal measure of creditworthiness. Unless governments begin producing harmonized financial statements, it is unlikely that CRAs will ever become users of accounting information. Meanwhile, CRAs ground their sovereign rating process on harmonized economic and statistical accounts that are lacking important information on government payables, receivables, contingent liabilities and assets
La campagna contro i pirati di Marco Antonio Cretico
No full textUno sguardo sulla vicenda di Marco Antonio Cretic
Sleep Disorders Are Associated with Mental Health, Quality of Life and Stigma in an Italian Cohort of People Living with HIV
No full textObjectives: The aim of this study was to assess sleep quality in people living with HIV (PLWH), and to examine how the sleep sphere interacts with mental health, quality of life and internalized stigma. Methods: A total of 250 PLWH were consecutively enrolled during routine outpatient visits. Each participant completed a 67-item questionnaire. Sleep disturbances were measured using the Pittsburgh Sleep Quality Index (PSQI). The Depression, Anxiety and Stress Scale (DASS-21) was used to measure the mental health status. The Short Form 12 (SF-12) questionnaire was used to measure participants’ quality of life. Internalized HIV-related stigma was evaluated using the modified six-item internalized AIDS-related stigma scale. Results: Many of the PLWH were male (69.2%) and the time between HIV diagnosis and first antiretroviral therapy (ART) was over 10 years (69.2% and 64%, respectively). The PSQI component most-cited as problematic by PLWH was habitual sleep efficiency (52.4%). In multivariate analysis models, a higher mean in the PSQI total score was significantly associated with internalized stigma (mean change 1.10), depression (mean change 6. 20), anxiety (mean change 12.15), stress (mean change 6.24), physical (mean change 7.54) and mental (mean change 3.56) quality of life, health status (mean change −6.04), ART adherence (mean change −5.08) and physical activity (mean change −6.20). Conclusions: Our results confirm the role of sleep quality in both mental and physical health and suggest that sleep disorders might also be a significant indicator of psychosocial challenges faced by PLWH
2673 Dosimetric Evaluation of HDR Interventional Radiotherapy (Brachytherapy), VMAT, and Electron Beam Therapy for Non-Melanoma Skin Cancer
No full textFormazione iniziale e inclusione scolastica. Quali competenze per gli insegnanti di sostegno? Initial training and school inclusion. What skills for support teachers?
No full textFornire un’educazione di qualità, equa e inclusiva, promuovere opportunità di apprendimento
permanente per tutti rappresenta un obiettivo ambizioso e imprescindibile per realizzare una società
più equa e solidale. Questo studio si focalizza sul ruolo degli insegnanti di sostegno, figure chiave
per la realizzazione di processi didattici inclusivi. Attraverso un'indagine tramite questionario sulla
popolazione totale di 1.078 studenti del TFA sostegno dell'Università degli Studi Link Campus di
Roma, sono state analizzate le competenze ritenute essenziali per l'insegnamento inclusivo, tra cui la
capacità di adattare i curricoli, di costruire relazioni collaborative con gli studenti e le loro famiglie,
di utilizzare strategie didattiche diversificate. I risultati evidenziano una forte motivazione degli
insegnanti di sostegno e un'alta percezione dell'importanza delle competenze relazionali e didattiche.
Lo studio sottolinea la necessità di una formazione iniziale che promuova lo sviluppo di competenze
specifiche per l'insegnamento inclusivo, al fine di garantire a tutti gli studenti pari opportunità di
apprendimento. I risultati ottenuti offrono preziose indicazioni per la progettazione di interventi
formativi più efficaci e per sostenere gli insegnanti nella loro pratica didattica quotidiana
PhysioEx, a new Python library for explainable sleep staging through deep learning
No full textObjective:
Sleep staging is a crucial task in clinical and research contexts for diagnosing and understanding sleep disorders. This work introduces PhysioEx, a Python library designed to support the analysis of sleep stages using deep learning and Explainable AI (XAI).
Approach:
PhysioEx provides an extensible and modular API for standardizing and automating the sleep staging pipeline, covering data preprocessing, model training, testing, fine-tuning, and explainability. It supports both low-resource devices and high-performance computing clusters and includes pretrained models based on the Sleep Heart Health Study (SHHS) dataset. These models support single-channel EEG and multichannel EEG-EOG-EMG configurations and are easily adaptable to custom datasets. PhysioEx also features a command-line interface toolbox allowing users to streamline the model development and deployment. The library offers a range of XAI post-hoc methods to explain model decisions and align them with expert knowledge.
Main results:
PhysioEx benchmark state-of-the-art sleep staging models in a standard pipeline. Enabling a fair comparison between them both on the training source and out-of-domain sources. Its XAI techniques provide insights into deep learning-based sleep staging by linking model decisions to human-understandable concepts, such as AASM-defined rules.
Significance:
PhysioEx addresses the need for a standardized and accessible platform for sleep staging analysis, combining deep learning and XAI. By supporting modular workflows and explainable insights, it bridges the gap between machine learning models and clinical expertise. PhysioEx is publicly available and installable via pip, making it a valuable tool for researchers and practitioners in sleep medicine