IRIS Tipologia:https://hdl.handle.net/10807/831232024-03-28T09:05:44Z2024-03-28T09:05:44ZAffective Computing for detecting psychological Flow state: A definition and methodological problemhttps://hdl.handle.net/10807/2681542024-03-27T02:58:35Z2023-01-01T00:00:00ZTitolo: Affective Computing for detecting psychological Flow state: A definition and methodological problem
Autori: Sajno E.
Abstract: Flow is a mental state connected to optimal experiences and high performance. Existing detection systems are limited to post-hoc or require repeated and distracting assessments. Affective Computing offers the potential to be a viable framework for its detection and characterization. The formalization of such a model depends, however, on reliable assessment, elicitation, and detection of Flow. To this end, this work proposes that 1) Flow can be charted as a high valence, high arousal, and high dominance state: concordance of results with traditional evaluation scales (e.g., Flow State Scale) would be checked to confirm the validity of the assessment methods. 2) A video game, with difficulties tailored to the subject's performance, can elicit Flow, as well as Engagement, boredom, or anxiety. 3) Specific physiological correlates (i.e., ECG and EDA) can be leveraged for its detection.2023-01-01T00:00:00ZFollow the Flow: A Prospective on the On-Line Detection of Flow Mental State through Machine Learninghttps://hdl.handle.net/10807/2681432024-03-28T00:33:35Z2022-01-01T00:00:00ZTitolo: Follow the Flow: A Prospective on the On-Line Detection of Flow Mental State through Machine Learning
Autori: Sajno E.; Beretta A.; Novielli N.; Riva G.
Abstract: Flow is a precious mental status for achieving high sports performance. It is defined as an emotional state with high valence and high arousal levels. However, a viable detection system that could provide information about it in real-time is not yet recognized. The prospective work presented here aims to the creation of an online flow detection framework. A supervised machine learning model will be trained to predict valence and arousal levels, both on already existing databases and freshly collected physiological data. As final result, the definition of the minimally expensive (both in terms of sensors and time) amount of data needed to predict a flow status will enable the creation of a real-time detection interface of flow.2022-01-01T00:00:00ZGenesi, indagine, prevenzione e repressione della devianza organizzativa, tra fallacie cognitive e 'tentazioni sacrificali'. Alcune riflessioni a partire dal volume di Maurizio Catino "Trovare il colpevole. La costruzione del capro espiatorio nelle organizzazioni"https://hdl.handle.net/10807/2624942024-03-05T00:37:41Z2024-01-01T00:00:00ZTitolo: Genesi, indagine, prevenzione e repressione della devianza organizzativa, tra fallacie cognitive e 'tentazioni sacrificali'. Alcune riflessioni a partire dal volume di Maurizio Catino "Trovare il colpevole. La costruzione del capro espiatorio nelle organizzazioni"
Autori: Visconti, Arianna
Abstract: Prendendo spunto dall’analisi empirica di alcuni scandali e disastri d’impresa e del collegato fenomeno del ‘capro espiatorio organizzativo’, condotta nel volume 'Trovare il colpevole' di Maurizio Catino, il contributo riflette sugli elementi di contesto – anche ordinamentale – che possono influenzare, distorcendola, l’applicazione delle disposizioni penali, non solo sul piano della valutazione del compendio probatorio acquisito, ma, a monte, su quello della selezione, interpretazione e corretta applicazione delle norme.
Abstract: Building on Maurizio Catino’s empirical analysis of a number of corporate scandals and disasters, and of the related phenomenon of 'organizational scapegoats', this paper discusses some of the contextual elements - including those related to any given legal system - that can generate or strengthen serious bias in the application of criminal provisions, not only with respect to the evaluation of collected evidence, but, upstream, in the very process of selecting, interpreting, and applying the correct legal rules and principles.2024-01-01T00:00:00ZVaccine-preventable diseases: evaluating immune response in a sample of Italian healthcare studentshttps://hdl.handle.net/10807/2607342024-03-19T19:51:14Z2023-01-01T00:00:00ZTitolo: Vaccine-preventable diseases: evaluating immune response in a sample of Italian healthcare students
Autori: Paladini, A; Amantea, C; Rossi, MF; Fortunato, C; Cadeddu, C; Gualano, MR; Laurenti, P; Borrelli, I; Santoro, PE; Moscato, U
Abstract: Background:
Healthcare university students are exposed to a range of risk
factors during their hospital practical training, particularly in
relation to biological hazards. Despite being students, they
must be paid the same attention as health professionals in
relation to the same possibility of transmitting infections to
fellow colleagues, patients, and the wider community.The
primary aim of this study is to investigate the seroprevalence
characteristics of IgG antibodies against main infectious
diseases in students enrolled in medical and health-related
degree programs in an Italian university.
Methods:
We conducted a retrospective epidemiological study of health
professions students of a university hospital in Rome,
collecting sociodemographic information and serology of
antibody titers under study (hepatitis B, measles, mumps,
rubella and varicella) from 2013 to 2023. After initial
description of the study population, bivariate and multivariate
analyses were performed to study the association between
presence of antibodies with relevant variables.
Results:
Our study sample included 2523 students (68.5% females;
mean age 22.2, SD 3.8), of which 44.4% were protected against
HBV, 87.3% against measles, 85.5% against mumps, 94.6%
rubella and 95.2% against varicella. Differences in antibody
coverage between age groups were statistically significant
(p < 0.001), with the exception of mumps. Surprisingly, the
prevalence of HBV antibody titer below the seropositivity cutoff
appeared to have an inverse correlation with older age
(1998-99 OR 0.75 CI 0.61-0.93, 2000-01 OR 0.50 CI 0.41-0.62,
2002-04 OR 0.40 CI 0.31-0.52).
Conclusions:
Despite several recommendations and campaigns to promote
vaccinations, the goal of achieving high immunization rates
among healthcare workers still represents a challenge. Public
health policies should focus on improving prevention
strategies, including serological screening and workplace
vaccination for non-immune individuals, especially for
Hepatitis B.
Key messages:
Improving prevention strategies, including serological
screening and vaccination, is crucial to achieve high
immunization rates among healthcare students, especially
for Hepatitis B.
Health profession students are at risk of exposure to
infectious diseases during hospital practical training, and
the prevalence of immunity varies among different age
groups.2023-01-01T00:00:00Z