University of Modena and Reggio Emilia
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Letter to the editor: recurrent cholangitis in patients with a non-stenotic hepaticojejunostomy: incidence and risk factors
Combined Ca, Sr isotope and trace element analyses of Late Cretaceous dinosaur teeth: assessing diet versus diagenesis
Lipschitz Regularity for a Priori Bounded Minimizers of Integral Functionals with Nonstandard Growth
We establish the Lipschitz regularity of the a priori bounded local minimizers of integral functionals with non autonomous energy densities satisfying non standard growth conditions under a bound on the gap between the growth and the ellipticity exponent that is reminiscent of the sharp bound already found in [16]
Towards a modular architecture for extended reality systems
For full-fledged social acceptance of eXtended Reality (XR) systems, emphasis should be on design prototypes to allow frictionless, context-aware, and secure interactions with non-specialized users. This necessitates a modular architecture to ensure that the system is versatile and applicable across applications, and is open to the integration of interaction modalities. We discuss our proposal for (and prototypical implementation of) a modular architecture for XR systems that relies on cloud infrastructure resources and edge computing frameworks with shared communication protocols for scalability. The modules are abstracted from both functional and non-functional requirements, including security
Sertoli cell tumor associated with ovarian sex cord tumor withannular tubules in a patient with 46 XY disorder of sex developmentand 9p24.3 deletion, case report
U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation
Despite their remarkable success in medical image segmentation, the life cycle of deep neural networks remains a challenge in clinical applications. These models must be regularly updated to integrate new medical data and customized to meet evolving diagnostic standards, regulatory requirements, commercial needs, and privacy constraints. Model merging offers a promising solution, as it allows working with multiple specialized networks that can be created and combined dynamically instead of relying on monolithic models. While extensively studied in standard 2D classification, the potential of model merging for 3D segmentation remains unexplored. This paper presents an efficient framework that allows effective model merging in the domain of 3D image segmentation. Our approach builds upon theoretical analysis and encourages wide minima during pre-training, which we demonstrate to facilitate subsequent model merging. Using U-Net 3D, we evaluate the method on distinct anatomical structures with the ToothFairy2 and BTCV Abdomen datasets. To support further research, we release the source code and all the model weights in a dedicated repository: https://github.com/LucaLumetti/UNetTransplan
Doing the Locomotion Aspects of Trust and Transparency in Railway Communication
In the last few decades, Corporate Social Responsibility (CSR) has become a priority on the corporate agenda and a pillar of corporate communication. Firms have been increasingly called upon to behave responsibly and disclose information about their ethical values and ‘values translated into action.’ Recently, the growing distrust towards businesses and their CSR practices has prompted companies to reengage with stakeholders and disclose information in a way that is perceived by the general public as transparent and trustworthy. While extensive research on transparency has been conducted in fields such as management, organisational studies and marketing, little work has been done on the role of language in the creation of transparency and as a consequence, of trust. Set against this background, the study focuses on a particular industry sector in which public perceptions of transparency need to be carefully managed and maintained, namely transportation. Specifically, the analysis sets out to investigate how transparency and trust are linguistically and discursively constructed in the CSR reports belonging to a selection of rail companies operating in different geographical areas across the world (Europe, North America and Asia). Special attention is paid to the discussion of issues relevant to the sector, namely environmental impacts. With the support of quantitative and qualitative analysis tools, the sections of the reports covering environmental topics are examined in a variety of lexico-grammatical items and their phraseology. The study sheds light on the discourse strategies adopted by rail companies for trust creation and transparent reporting of information relating to environmental issues
Healthcare under pressure: organizational choices, violence concern, and job satisfaction in Emergency Departments
Emergency departments (EDs) witnessed a significant rise in workplace violence, with serious implications for healthcare professionals' job satisfaction. Addressing this key issue, this study adopts Affective Events Theory (Weiss & Cropanzano, 1996) and the concept of vulnerability (as in Butler, 2004) to explore how individual, organizational, and job related factors influence workplace violence concerns and job satisfaction in EDs.
The research adopts an exploratory sequential mixed-methods approach. First, qualitative interviews were conducted with 11 healthcare executives (including chief medical, administrative and general officers) and head of EDs in two Italian hospitals, investigating work organization factors such as, for example, excessive workload, inadequate working spaces, and employees’ skills. Second, a quantitative phase involved the submission of a questionnaire to the population of EDs workers of the two hospitals, collecting 131 responses (with a response rate of 68%). The data was then analyzed using Structural Equation Modeling (SEM) to examine the influence of individual, job related, and organizational determinants on job satisfaction, mediated by workplace violence concerns.
The study provides empirical evidence collected in high pressure environments to enrich Affective Events Theory with the vulnerability framework. The findings highlight several areas of intervention to tackle workplace violence concern. These include managing workloads to prevent excessive burden, cultivating effective communication and interpersonal skills, and ensuring adequate working spaces, all of which contribute to improved job satisfaction