An Experimental Study on Developing a Cognitive Model for Human Reliability Analysis

Serious incidents that occur inside or caused by industrial plants represent a very critical issue. In this context, the human reliability analysis (HRA) is an important tool to assess human factors that influence human behaviour in disasters scenario. In fact, the reliability assessment of interaction between human-machine systems is an important factor that affects the overall performance and safety in industrial plants. However, even though HRA techniques have been available for decades, there is not a universal method/procedure to reduce human errors that affect human performance. This study aims to design a novel approach to investigate the relationship between human reliability and operator performance considering the dependence on the available time to make decisions

Italian in the Trenches: Linguistic Annotation and Analysis of Texts of the Great War

The paper illustrates the design and development of a textual corpus representative of the historical variants of Italian during the Great War, which was enriched with linguistic (lemmatization and pos-tagging) and meta-linguistic annotation. The corpus, after a manual revision of the linguistic annotation, was used for specializing existing NLP tools to process historical texts with promising results.L’articolo illustra la progettazione e la costruzione di un corpus rappresentativo delle varietà di italiano in uso durante la prima Guerra Mondiale, annotato con dati linguistici (lemmatizzazione, analisi morfo-sintattica) e meta-linguistici. Il corpus, a seguito della revisione manuale dell’annotazione linguistica, è stato utilizzato per l’adattamento degli strumenti NLP esistenti, con risultati promettenti

Identification of lumped stiffness parameters for a motorcycle model in investigating weave and wobble

In motorcycle dynamics, great importance is attributed to the study of the weave and wobble vibration modes and, in particular, to the effects of the flexibility of structural components on their stability. Therefore, appropriate motorcycle models for studying weave and wobble should include flexible elements for describing the flexural behavior of components such as the main frame, front assembly, and rear swingarm. Different approaches are possible formodeling flexibilities: the most common among them are the lumped stiffness and the flexible multibody approaches. While the latter certainly provides higher accuracy, the former has advantages in terms of computational load, but, above all, it makes it easier to understand in the design phase how technical parameters, such as torsional and bending stiffness of a given structural component, can influence the stability of weave and wobble. The accuracy of lumped stiffness models strongly depends on parameter identification. In this study, a general method is proposed to determine appropriate lumped stiffness parameters for any given motorcycle component. The proposed method is tested and validated by comparing the weave and wobble modal behavior with the results of flexible multibody analysis. The lumped stiffness model is then adopted to carry out a sensitivity analysis aimed at identifying the effects on the weave and wobble stability of the torsional and bending stiffness of specific structural components of the motorcycle to optimize their design

Mental health in Italy after two years of COVID-19 from the perspective of 1281 Italian physicians: looking back to plan forward

Background: The COVID-19 pandemic has generated an unprecedented global crisis that is profoundly affecting mental health and mental health care. The aim of this study was to survey a relatively large group of Italian physicians about their perceived impact of COVID-19 on the mental health of the Italian population and about their suggestions on the best strategies to address the current and future challenges. Methods: One thousand two hundred eighty-one (1,281) physicians were surveyed between November 2021 and February 2022. Results: Eighty-one percent of respondents reported an increase in the number of people with mental illness presenting to their practice during the COVID-19 pandemic. Thirty-four percent reported a 26-50% increase in the number of people with mental illness in their community; approximately 33% reported a 1-25% increase; and 26.9% reported a 51-75% increase. The most commonly reported mental issues that increased because of COVID-19 were agitation, mood and anxiety disorders. Regarding the suggested strategies to address future challenges related to the COVID-19 pandemic, 34.6% of respondents recommended providing psychoeducation to the general population for early detection of mental illness and developing strategies to reduce the impact of COVID-19-related stress. In addition, 12.6% of respondents suggested improving telehealth services, while 12.3% suggested the need for increased funding for community-based care. When asked about physicians' opinion on the possibility of an increased prevalence of mental illness in the next 12 months, more than 30% of them predicted an increase in stress-related illnesses, while 25.2% were more concerned about a worsening of the ongoing clinical conditions of patients with previous psychiatric disorders. However, 21% of respondents believed that people's ability to cope with the pandemic would increase in the next 12 months. Conclusions: This study confirmed a strong and negative impact on the mental health of the past 2 years of COVID-19 pandemic in the Italian population. Providing psychoeducation to the general population and improving the availability of telemedicine services could reduce the impact of future challenges related to the pandemic

Vulnerabilities in Mental Health due to Covid-19 Pandemic: The Response of the Italian Physicians

COVID-19 pandemic has exacerbated the pre-existing vulnerabilities and inequalities in societies. In this paper we analyse the categories that have suffered more than others from the pandemic and the restrictions on social life in terms of mental health. We rely on the Serendipity project based on a survey administered between November 2021 and February 2022 to a sample of Italian physicians (n = 1281). The survey aimed to assess the perception of general practitioners, paediatricians, geriatricians, and mental health specialists (psychiatrists, neurologists, child neuropsychiatrists), about changes in the mental health of the population as an effect of the COVID-19 pandemic and the lockdown. The strategies implemented by the doctors interviewed in terms of the intensity of the prevention, emergence, and treatment of mental health interventions, and their association with physicians' characteristics and their opinions on patient vulnerability have been illustrated by means of a multiple correspondence analysis. An overall result of the survey is the consensus of doctors on the worsening of mental health in general population, especially among their patients, due to the pandemic and on the onset of new discomforts. The most exposed individuals to the risk of onset or worsening of mental disorders include women, young people, and patients with psychiatric comorbidity. The paper also illustrates the interventions put in place by the physicians and deemed necessary from a public heath response perspective, that include providing psychoeducation to the general population, improving telehealth services, and increasing financial and human resources for community-based care

Absolute Stability Limit for Relativistic Charged Spheres

We find an exact solution for the stability limit of relativistic charged spheres for the case of constant gravitational mass density and constant charge density. We argue that this provides an absolute stability limit for any relativistic charged sphere in which the gravitational mass density decreases with radius and the charge density increases with radius. We then provide a cruder absolute stability limit that applies to any charged sphere with a spherically symmetric mass and charge distribution. We give numerical results for all cases. In addition, we discuss the example of a neutral sphere surrounded by a thin, charged shell.Comment: 25 pages, 1 figure 1 June 07: Replaced with added citations to prior work along same line

The Non-linear Trajectory of Change in Play Profiles of Three Children in Psychodynamic Play Therapy

Aim: Even though there is substantial evidence that play based therapies produce significant change, the specific play processes in treatment remain unexamined. For that purpose, processes of change in long-term psychodynamic play therapy are assessed through a repeated systematic assessment of three children's "play profiles," which reflect patterns of organization among play variables that contribute to play activity in therapy, indicative of the children's coping strategies, and an expression of their internal world. The main aims of the study are to investigate the kinds of play profiles expressed in treatment, and to test whether there is emergence of new and more adaptive play profiles using dynamic systems theory as a methodological framework. Methods and Procedures: Each session from the long-term psychodynamic treatment (mean number of sessions = 55) of three 6-year-old good outcome cases presenting with Separation Anxiety were recorded, transcribed and coded using items from the Children's Play Therapy Instrument (CPTI), created to assess the play activity of children in psychotherapy, generating discrete and measurable units of play activity arranged along a continuum of four play profiles: "Adaptive," "Inhibited," "Impulsive," and "Disorganized." The play profiles were clustered through K-means Algorithm, generating seven discrete states characterizing the course of treatment and the transitions between these states were analyzed by Markov Transition Matrix, Recurrence Quantification Analysis (RQA) and odds ratios comparing the first and second halves of psychotherapy. Results: The Markov Transitions between the states scaled almost perfectly and also showed the ergodicity of the system, meaning that the child can reach any state or shift to another one in play. The RQA and odds ratios showed two trends of change, first concerning the decrease in the use of "less adaptive" strategies, second regarding the reduction of play interruptions. Conclusion: The results support that these children express different psychic states in play, which can be captured through the lens of play profiles, and begin to modify less dysfunctional profiles over the course of treatment. The methodology employed showed the productivity of treating psychodynamic play therapy as a complex system, taking advantage of non-linear methods to study psychotherapeutic play activity

Shake table testing of a low-impact technology for the seismic protection of stone masonry

This paper presents a novel low-impact technique for the seismic protection of fair-face masonry walls. The proposed strengthening solution involves the use of carbon-fibre reinforced polymer (CFRP) connectors installed from the outside by perforating the stone elements, combined with grout injections. The connectors cover ¾ of the wall thickness, so as to leave the inner surface undisturbed. Once the work is completed, they are also substantially invisible. Shake table tests were carried out under natural accelerograms on two full-scale irregular multi-leaf stone masonry wall specimens. In order to replicate materials and construction technique of the Apennine historical buildings, the prototypes were made from stones recovered from the debris of a settlement in the municipality of Accumoli (RI, Italy), and the mortar was designed to reproduce lime-poor mortars surveyed in the field. The experimental setup was designed to induce out-of-plane vertical bending under base seismic motion, while allowing the vertical displacement of the wall top. One specimen was tested “as-built” and the other one was tested strengthened, to investigate the gain in seismic performance, the limitation of progressive damage accumulation and the effects on dynamic properties

Verb interpretation for basic action types: annotation, ontology induction and creation of prototypical scenes

In the last 20 years dictionaries and lexicographic resources such as WordNet have started to be enriched with multimodal content. Short videos depicting basic actions support the user\u27s need (especially in second language acquisition) to fully understand the range of applicability of verbs. The IMAGACT project has among its results a repository of action verbs ontologically organised around prototypical action scenes in the form of both video recordings and 3D animations. The creation of the IMAGACT ontology, which consists in deriving action types from corpus instances of action verbs, intra and cross linguistically validating them and producing the prototypical scenes thereof, is the preliminary step for the creation of a resouce that users can browse by verb, learning how to match different action prototypes with the correct verbs in the target language. The mapping of IMAGACT types onto WordNet synsets allows for a mutual enrichment of both resources

A Phase Transition of the Unconscious: Automated Text Analysis of Dreams in Psychoanalytic Psychotherapy

Aim: Psychotherapy could be interpreted as a self-organizing process which reveals discontinuous pattern transitions (so-called phase transitions). Whereas this was shown in the conscious process of awake patients by different measures and at different time scales, dreams came very seldom into the focus of investigation. The present work tests the hypothesis that, by dreaming, the patient gets progressively more access to affective-laden (i.e., emotionally charged) unconscious dimensions. Furthermore, the study investigates if, over the course of psychotherapy, a discontinuous phase transition occurs in the patient’s capacity to get in contact with those unconscious dimensions. Methods and Procedures: A series of 95 dream narratives reported during a psychoanalytic psychotherapy of a female patient (published as the “dreams of Amalie X”) was used for analysis. An automated text analysis procedure based on multiple correspondence analysis was applied to the textual corpus of the dreams, highlighting a 10-factor structure. The factors, interpreted as affective-laden unconscious meaning dimensions, were adopted to define a 10-dimensional phase space, in which the ability of a dream to be associated with one or more local factors representing complex affective-laden meanings is measured by the Euclidean distance (ED) from the origin of this hyperspace. The obtained ED time series has been fitted by an autoregressive integrated moving average (ARIMA) model and by non linear methods like dynamic complexity, recurrence plot, and time frequency distribution. Change point analysis was applied to these non linear methods. Results: The results show an increased frequency and intensity of dreams to get access to affective-laden meanings. Non linear methods identified a phase transition-like jump of the ED dynamics onto a higher complexity level of the dreaming process, suggesting a non linear process in the patient’s capacity to get in contact with unconscious dimensions. Conclusion: The study corroborates the hypothesis that, by dreaming, the patient gets progressively more access to affective-laden meaning intended as unconscious dimensions. The trajectory of this process has been reproduced by an ARIMA model, and beyond this, non linear methods of time series analysis allowed the identification of a phase transition in the unconscious process of the psychoanalytic therapy under investigation