Intrinsic Motivation, Job Autonomy and Turnover Intention in the Italian Healthcare: The mediating role of Affective Commitment

Drawing on Self-Determination and Work Characteristics theories, we hypothesized that job autonomy and intrinsic motivation were key exogenous variables positively related to affective commitment, which in turn is negatively related to turnover intention, by performing a mediating role. A sample of 442 nurses has been involved in this research. Through the cross-validation technique, the results showed that the hypotheses of this study were supported and affective commitment completely mediated the relationships between job autonomy, intrinsic work motivation and turnover intention. These findings have important implications for healthcare organizations by helping to promote effective work environments and major opportunities of responsibility to workers to develop their own activity. Conclusions were examined considering practical implications for organizations, employees and the need for further researches

Catching Spiral - S0 transition in groups. Insights from SPH simulations with chemo-photometric implementation

We are investigating the co-evolution of galaxies within groups combining multi-wavelength photometric and 2D kinematical observations. Here we focus on S0s showing star formation in ring/arm-like structures. We use smooth particle hydrodynamical simulations (SPH) with chemo-photometric implementation which provide dynamical and morphological information together with the spectral energy distribution (SED) at each evolutionary stage. As test cases, we simulate the evolution of two such S0s: NGC 1533 and NGC 3626. The merging of two halos with mass ratio 2:1, initially just composed of dark matter (DM) and gas, well match their observed SEDs, their surface brightness profiles and their overall kinematics. The residual star formation today "rejuvenating" the ring/arm like structures in these S0s is then a mere consequence of a major merger, i.e. this is a phase during the merger episode. The peculiar kinematical features, e.g. gas-stars counter rotation in NGC 3626, depends on the halos initial impact parameters. Furthermore, our simulations allow to follow, in a fully consistent way, the transition of these S0s through the green valley in the NUV-r vs. Mr colour magnitude diagram, which they cross in about 3-5 Gyr, before reaching their current position in the red sequence. We conclude that a viable mechanism driving the evolution of S0s in groups is of gravitational origin.Comment: 30 pages, 6 figures; accepted for publication in Advances in Space Research, Special Issue: Ultraviolet Astrophysic

Developing a Predictive Model of Software Piracy Behavior: An Empirical Study

There is, perhaps, no more visible financial dilemma in the software industry today than that of software piracy. In this paper, we detail the development and empirical validation of a predictive model of software piracy behavior by computer-using professionals. The model was developed from the results of prior research in software piracy and the reference disciplines of the theory of planned behavior, expected utility theory and deterrence theory. The study utilized two methods to analyze the piracy decision. A survey was used to test the entire model and an experiment was undertaken to test several relationships between the included variables. The results indicate that the identified factors have a significant impact on the decision to pirate software and that the model is a useful tool in further understanding this behavior. The results add to a growing stream of MIS research into piracy behavior and have significant implications for organizations and industry groups aiming to reduce piracy behavior

Information fusion-based cybersecurity threat detection for intelligent transportation system

Intelligent Transportation Systems (ITS) are sophisticated systems that leverage various technologies to increase the safety, efficiency, and sustainability of transportation. By relying on wireless communication and data collected from diverse sensors, ITS is vulnerable to cybersecurity threats. With the increasing number of attacks on ITS worldwide, detecting and addressing cybersecurity threats has become critically important. This need will only intensify with the impending arrival of autonomous vehicles. One of the primary challenges is identifying critical ITS assets that require protection and understanding the vulnerabilities that cyber attackers can exploit. Additionally, creating a standard profile for ITS is challenging due to the dynamic traffic pattern, which exhibits changes in the movement of vehicles over time. To address these challenges, this paper proposes an information fusion-based cybersecurity threat detection method. Specifically, we employ the Kalman filter for noise reduction, Dempster-Shafer decision theory and Shannon’s entropy for assessing the probabilities of traffic conditions being normal, intruded, and uncertain. We utilised Simulation of Urban Mobility (SUMO) to simulate the Melbourne CBD map and historical traffic data from the Victorian transport authority. Our simulation results reveal that information fusion with three sensor data is more effective in detecting normal traffic conditions. On the other hand, for detecting anomalies, information fusion with two sensor data is more efficient

Acquired von Willebrand syndrome in patients with monoclonal gammopathy of undetermined significance investigated using a mechanistic approach

BACKGROUND: Acquired von Willebrand syndrome (AVWS) has been reported to occur in association with monoclonal gammopathy, usually of undetermined significance (MGUS). It may present as a type 1 or type 2 von Willebrand factor (VWF) defect depending on the patient’s representation of large VWF multimers. MATERIALS AND METHODS: The mathematical model by Galvanin et al., already employed for studying inherited von Willebrand disease (VWD), was used to explore the pathogenic mechanisms behind MGUS-associated AVWS. RESULTS: The patients studied showed significantly reduced VWF levels and function; an increased VWF propeptide to VWF antigen ratio; and all VWF multimers present but in reduced quantities, with the low-molecular-weight VWF forms being significantly more represented than those of higher molecular weight. Our mathematical model revealed a significantly increased VWF elimination rate constant, with values similar to those of type Vicenza VWD. An even more increased VWF proteolysis rate constant was observed, with values one order of magnitude higher than in type 2A VWD but, in contrast, no loss of large multimers. The model predicted the same elimination rate for high- and low-molecular-weight VWF multimers, but proteolysis of the high-molecular-weight forms also contributes to the pool of low-molecular-weight oligomers, which explains why they were relatively over-represented. DISCUSSION: In MGUS-associated AVWS the increase of both clearance and proteolysis contributes to the circulating levels and multimer pattern of VWF, with a phenotype that appears to be a combination of type Vicenza and type 2A VWD. Hence, the mechanisms behind the onset of AVWS seem to differ from those of inherited VWD

Stress among medical students: Factor structure of the University Stress Scale among Italian students

Objectives The main purpose of the current study was to investigate the psychometric properties of the Italian version of the University Stress Scale (USS) among Italian medical students. Design, setting and participants A cross-sectional observational study based on data from an online cross-sectional survey from 11 to 23 December 2018. A total of 1858 Italian medical students participated in the study. Outcome measures We measured perceived stress among medical students using the USS, the Effort-Reward Imbalance Student Questionnaire (ERI-SQ) and the Kessler-10 (K10). Results Results showed that a bifactor-Exploratory Structural Equation Modeling solution provided excellent levels of fit to the data. Our results suggest that the modified version of 19 items of the Italian version of the USS does not have a simple unidimensional structure. Overall, an inspection of ancillary indices (omega indices, ECV and percentage of uncontaminated correlations) revealed that these were too low to suggest the use of the USS as a composite measure of university stress. We tested an alternative unidimensional short form (eight items; USS-S) that assessed all the five sources of stress. This version provided a good fit to the data. Evidence of convergent validity of the USS-S was observed by analysing the correlations between the USS and ERI-SQ (ranging from-0.34 to 0.37, all p<0.01). Finally, based on the clinical cut-off recommended on the K10, results from receiver operating characteristic showed that considering the clinical cut-off of the USS is 7.5 and that 59.70% of medical students reported stress levels in the clinical range. Conclusion Finally, our results showed a lack of support for using the USS to measure a general university stress factor, as the general USS factor accounted for little variance in our sample. In this sense, stress scores among Italian students can be better assessed by the use of the USS-S

Emotional labor as emotional regulation: Italian adaptation and longitudinal validation of the scale among undergraduate nursing students

Aim: The aim of the present study is to perform a longitudinal Italian validation of the scale and to adapt it to the nursing education contest. Background: Research on emotional labor has shown that the roles played by surface acting and deep acting are still uncertain. To overcome this gap, scholars suggest observing emotional labor through the lens of the emotional regulation theory. Andela and her colleagues developed a fine grained instrument, which differentiates attentional deployment, cognitive re-evaluation and expressive suppression, emotional amplification and emotional dissonance. Design. To fulfill our aim, a longitudinal study was performed in an Italian University. Method. The adapted scale was administered to 168 nursing students across the three years of attendance in the course. Results. Our results confirm the five-factor structure, and the instrument shows good psychometrical properties. Conclusion. Having shown satisfactory psychometric properties, this scale can be considered a useful instrument to assess those emotional elements of clinical practice, which are important for the assurance of education quality to the under graduated nursing students