Archivio della ricerca della Scuola Superiore Sant'Anna
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    Il rafforzamento della difesa europea

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    Design of an Efficient Thin Film Lithium Niobate Modulator at 1064 nm

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    Thin film lithium niobate modulators around the 1 μm window have seen limited development, despite applications in spectroscopy and space communications. We report the design of a 1064 nm modulator for the CSEM TFLN platform

    Managing fading in free space optics according to the service class

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    The impact of fading is analyzed in free space optics communications. A traffic-driven solution is proposed to mitigate transmission performance degradation, accounting for high- and low-priority traffic. The proposed solution experiences high robustness for high-priority traffic

    Supporting the digital transformation journey through monitoring systems in healthcare. A comparative analysis of European empirical approaches through an adaptation of the IPOO framework

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    This study explores how digital transformation (DT) is operationalized and measured within Health System Performance Assessments (HSPAs) across European Union (EU) countries. By conducting a documentary analysis of national HSPAs through the READ approach, we identified 11 EU countries that include digital health metrics and extracted a total of 93 Key Performance Indicators (KPIs). These indicators were systematically categorized using the Input-Process-Output-Outcome (IPOO) framework and clustered into four deductively derived domains and corresponding sub-domains. Building on this empirical foundation, we propose a novel conceptual framework that integrates theoretical and practical dimensions of DT monitoring. The framework assigns representative KPIs to each IPOO phase and highlights critical but currently under-monitored areas. Despite notable progress in areas such as electronic health records, telemedicine, and digital service usage, the findings reveal persistent challenges. Furthermore, significant variability exists across countries in the adoption and computability of DT indicators. By providing a structured model and a comprehensive pool of indicators, this study contributes to both academic literature and practical policymaking. It supports efforts to guide DT measurement across healthcare systems while maintaining the flexibility needed to adapt to diverse national contexts. Future research should explore the evolving integration of DT metrics and continue to address gaps that hinder effective performance monitoring and policy development in healthcare digitalization

    The social report as a multilevel tool in addressing institutional pressures: management and policy implications for nonprofit organizations

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    Purpose: The role of the third sector in contributing to the Sustainable Development Goals (SDGs) is crucial. However, the limited availability of public data and the absence of systematic monitoring systems diminish the legitimacy of these organizations regarding their impact. Despite the recognition of the third sector role, a systematic method to assess and reveal its impact or contribution has not been developed or widely shared. The social report in voluntary organizations is, in this context, a key tool prompted by the third sector reform. The purpose of this paper is to find methods, data and indicators for consideration in this evaluation process. Design/methodology/approach: Action research is used as a method for investigating the implementation of social reports within an Italian sport association, particularly within the context of the new third sector reform. Findings: The findings reveal the importance of aligning normative obligations with global priorities, facilitating the evaluation of an organization’s contribution to the SDGs over the medium to long term. This study offers a practical blueprint for third-sector organizations to structure their social reports and evaluate their impact on global sustainability priorities. Originality/value: The 2030 Agenda serves as a comprehensive framework for assessing the sustainability performance of individual organizations and gauging their potential impact on the SDGs

    Underwater Inspection Platform for Vision-Based Biodiversity Identification

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    Marine biodiversity monitoring is crucial for understanding and mitigating the impacts of environmental change, overfishing, and habitat degradation. In this work, we present an autonomous, fish-inspired robotic platform designed for in situ identification of marine species. The system allows for realtime perception and classification without reliance on external computation. A lightweight convolutional neural network (CNN) was trained on a custom dataset comprising over 2,000\mathbf{2, 0 0 0} annotated images of marine organisms, including dolphins, belugas, jellyfish, sharks, and rays, collected from public datasets, fieldwork, and major aquariums worldwide. The combination of agile underwater navigation and embedded neural processing offers a scalable and non-invasive solution for marine biodiversity inspection. The synergy between robotic platforms and deep learning represents a fundamental advancement toward autonomous, in situ ecological monitoring in dynamic and unstructured aquatic habitats

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