Archivio istituzionale della ricerca - Alma Mater Studiorum Università di Bologna
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Agile Target Localization via Time-Modulation
This work proposes a novel method for target localization based on Time-Modulated Arrays. The real-time control of the unparalleled multi-harmonic patterns is of strategic importance and allows to build a unique correspondence between observation direction and harmonics power levels. Two localization algorithms based on the power ratio between the first-order harmonic and the carrier frequency are presented. A radial multi-spoke array at 2.45 GHz has been used as time-modulated radiator for this purpose. The numerical analysis is supported by measurements results that validate the effectiveness of the time modulated array technology for localization purposes
Radiological and Neuroradiological Features in Pediatric Mucopolysaccharidoses: A Retrospective Case Series from the Emilia-Romagna Regional Referral Center
Background: Mucopolysaccharidoses (MPSs) are rare lysosomal storage disorders characterized by multisystem involvement; notably, skeletal abnormalities known as dysostosis multiplex and varying degrees of central nervous system impairment. Accurate radiological evaluation is crucial for accurate diagnosis and effective planning. This study aims to describe the clinical and radiological features of patients with MPS managed at our tertiary care center. Methods: We retrospectively reviewed clinical and radiological data from eight patients with confirmed MPS treated at S. Orsola University Hospital (Bologna, Italy) since 2000. Imaging included conventional radiography, supplemented by MRI and CT. The findings were analyzed by MPS subtype and correlated with clinical evolution and therapeutic interventions. A literature review complemented the analysis. Results: The cohort included one patient with MPS I, two with MPS II, one with MPS III, and four with MPS IV. Common skeletal findings were vertebral deformities, hip dysplasia, and shortening of long bones. Patients with MPS IV showed the most severe bone involvement, including pronounced platyspondyly and odontoid hypoplasia. Follow-up imaging demonstrated progression of bone and CNS pathology despite enzyme replacement therapy (ERT). Conclusions: Our findings underscore the pivotal role of imaging in MPS management. Tailored radiological protocols and multidisciplinary care are crucial for optimizing diagnosis and monitoring disease progression
Implicazioni per il miglioramento
Il contributo approfondisce le implicazioni emerse dai percorsi di Ricerca-Formazione (R-F) realizzati nell’ambito del progetto PRIN dedicato ai Percorsi per le Competenze Trasversali e per l’Orientamento (PCTO). Adottando una prospettiva trasformativa e collaborativa, la R-F è stata sviluppata in istituti scolastici dell’Emilia-Romagna e della Lombardia, con l’obiettivo di sostenere processi riflessivi, co-progettazione e ripensamento delle pratiche connesse ai PCTO. Attraverso analisi dei dati, attività laboratoriali, strumenti di progettazione e momenti strutturati di validazione ecologica, docenti e ricercatori hanno attivato un percorso condiviso volto a migliorare l’efficacia formativa e orientativa dei PCTO. I risultati evidenziano un progressivo cambiamento nella postura professionale degli insegnanti, una maggiore integrazione tra dimensione organizzativa e formativa dei percorsi e il riconoscimento della scuola come contesto di ricerca e innovazione. Le azioni proposte includono il rafforzamento delle pratiche di riflessione e autovalutazione, la valorizzazione della Student Voice, la costruzione di linguaggi professionali condivisi e la definizione di strategie collaborative per la sostenibilità delle pratiche. Il capitolo mette in luce il potenziale della R-F come dispositivo capace di generare cambiamenti significativi nella cultura professionale e nella progettazione dei PCTO
Per una geografia del neofascismo italiano. La centralità di roma e la svolta del 1974
The article aims to reconstruct the set of special factors that in 1974 made Rome the exclusive refuge for the Italian extreme right (which entered into a deep crisis, after the end of the strategy of tension), making it the place where neo-fascism found a way to reinvent itself ideologically and operationally
Inactivation of Emerging Opportunistic Foodborne Pathogens Cronobacter spp. and Arcobacter spp. on Fresh Fruit and Vegetable Products: Effects of Emerging Chemical and Physical Methods in Model and Real Food Systems—A Review
The consumption of fresh fruit and vegetables is essential for a healthy diet as they contain a diverse composition of vitamins, minerals, fibre, and bioactive compounds. However, cross-contamination during harvest and post-harvest poses a high risk of microbial contamination. Therefore, handling fruit and vegetables during processing and contact with wet equipment and utensil surfaces is an ideal environment for microbial contamination and foodborne illness. Nevertheless, less attention has been paid to some emerging pathogens that are now increasingly recognised as transmissible to humans through contaminated fruit and vegetables, such as Arcobacter and Cronobacter species in various products, which are the main risk in fruit and vegetables. Cronobacter and Arcobacter spp. are recognised food-safety hazards because they pose a risk of foodborne disease, especially in vulnerable groups such as newborns and immunocompromised individuals. Cronobacter spp. have been linked to severe infant conditions—notably meningitis and sepsis—most often traced to contaminated powdered infant formula. Although Arcobacter spp. have been less extensively studied, they have also been associated with foodborne disease, chiefly from dairy products and meat. With this in mind, this review provides an overview of the main chemical and physical sanitisation methods in terms of their ability to reduce the contamination of fresh fruit and vegetable products caused by two emerging pathogens: Arcobacter and Cronobacter. Emerging chemical (organic acid compounds, extracts, and essential oils) and physical methods (combination of UV-C with electrolysed water, ultrasound, and cold atmospheric plasma) offer innovative and environmentally friendly alternatives to traditional approaches. These methods often utilise natural materials, less toxic solvents, and novel techniques, resulting in more sustainable processes compared with traditional methods that may use harsh chemicals and environmentally harmful processes. This review provides the fruit and vegetable industry with a general overview of possible decontamination alternatives to develop optimal and efficient processes that ensure food safety
Transparency in mobile apps for value co-creation: how privacy notice communications shape user perception.
The rise of mobile apps, particularly those utilizing artificial intelligence, has heightened privacy concerns due to extensive data collection. Privacy notices are mandatory for promoting transparency in data management. This research examines how text-based versus infographic privacy notice formats influence users' perceptions of transparency and their intention to use the app. We present a 2 × 3 experiment manipulating notice format and message complexity in a sports app context. Results indicate that infographics enhance perceived transparency more than text, though this effect diminishes with increased complexity. Transparency fully mediates the relationship between notice format and app usage intention, irrespective of users’ privacy concerns. These findings provide valuable insights for app developers and policymakers in balancing clarity with legal compliance in privacy communications supporting value co-creation. By highlighting the limitations of infographics in complex scenarios, this study contributes to the discussion on effective privacy communication strategies, emphasizing the need for alignment between format and content in technology-mediated environments
Isole urbane, abitare condiviso
Per i temi proposti dalla ricerca “INCLUsive spaces for the Intercultural CITY”, che promuove una visione di città inclusiva, capace di accogliere chi arriva da altrove e cerca luoghi nei quali radicarsi o semplicemente in cui vivere un tratto della propria esistenza, il progetto propone una nuova prospettiva per la questione abitativa migrante e più in generale per la necessità di abitazioni accessibili a tutti; temi che si ripropongono continuamente come emergenze, vengono qui assunti come opportunità per ripensare la forma urbana, in un’area che necessita con urgenza di rigenerazione formale, sociale e ambientale
Bioinformatics Tools for NGS-Based Identification of Single Nucleotide Variants and Large-Scale Rearrangements in Mitochondrial DNA
The unique features of mitochondrial DNA (mtDNA), including its circular and multicopy nature, the possible coexistence of wild-type and mutant molecules (i.e., heteroplasmy) and the presence of nuclear mitochondrial DNA segments (NUMTs), make the diagnosis of mtDNA diseases particularly challenging. The extensive deployment of next-generation sequencing (NGS) technologies has significantly advanced the diagnosis of mtDNA-related diseases. However, the vast amounts and diverse types of sequencing data complicate the interpretation of these variants. From sequence alignment to variant calling, NGS-based mtDNA sequencing requires specialized bioinformatics tools, adapted for the mitochondrial genome. This study presents the use of new bioinformatics approaches, optimized for short- and long-read sequencing data, to enhance the accuracy of mtDNA analysis in diagnostics. Two recent and emerging free bioinformatics tools, Mitopore and MitoSAlt, were evaluated on patients previously diagnosed with single nucleotide variants or large-scale deletions. Analyses were performed in Linux-based environments and web servers implemented in Python, Perl, Java, and R. The results indicated that each tool demonstrated high sensitivity and specific accuracy in identifying and quantifying various types of pathogenic variants. The study suggests that the integrated and parallel use of these tools offers a significant advantage over traditional methods in interpreting mtDNA genetic variants, reducing the computational demands, and provides an accurate diagnostic solution
I rapporti di Bruno Ciari con la pedagogia laica del suo tempo
Il saggio ricostruisce il contributo di Bruno Ciari alla pedagogia laica del suo tempo, facendo riferimento al suo iniziale rapporto con Ernesto Codignola, fino alla posizione originale da lui assunta nell’ambito del dibattito marxista sulla scuola italiana tra gli anni ‘50/’60
Collective Intelligence-based Service Migration Enabling Zoom-In Functionality within Industry 5.0
The rapid evolution of Industry 5.0 emphasizes the integration of human expertise with machine intelligence to create resilient, adaptive, and human-centric industrial systems. This paper introduces a novel Collective Intelligence (CI)-based service migration framework designed for Industry 5.0 environments, enabling dynamic orchestration of stateful services across heterogeneous edge-to-cloud infrastructures. At its core, the framework leverages Kubernetes (K8s) enhanced with AI-driven decision-making and human-in-the-loop collaboration to address the limitations of traditional orchestration in industrial settings. A key innovation of this work is the Zoom-In functionality, which empowers human operators to escalate anomaly detection and analysis by deploying advanced machine learning models on demand, seamlessly migrating services to resource-rich nodes when deeper investigation is warranted. The proposed framework integrates Large Language Models (LLMs) to translate operator intent into actionable policies, ensuring context-aware and explainable decision-making. Experimental validation in real industrial scenarios demonstrates high anomaly detection accuracy (F1-scores up to 1.0), reliable operator intent translation (over 70% correct JSON generations with lightweight LLMs), and efficient multi-criteria scheduling with millisecond-level decision times. Moreover, the proposed migration mechanism reduces downtime by more than 50% compared to vanilla Kubernetes, ensuring service continuity in mission-critical tasks. This work advances the vision of collaborative intelligence in IoT systems, bridging the gap between human judgment and automated orchestration for Industry 5.0 applications