Parthenope University of Naples
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Annurca apple polyphenols prevent mercury-induced phosphatidylserine externalization in human erythrocytes via calcium-dependent PLSCR1 regulation.
No full textPhosphatidylserine (PS) exposure on the surface of red blood cells (RBC) is a hallmark of membrane asymmetry loss and a prothrombotic signal often induced by oxidative stress and heavy metal toxicity. Mercury (Hg) is known to disrupt cellular redox balance and calcium homeostasis, leading to PS externalization and increased thrombotic risk. Natural antioxidants such as polyphenols may provide protection against these effects. The Annurca apple (Malus pumila Mill. cv. Annurca), a cultivar rich in procyanidins and phenolic compounds, has shown antioxidant and membrane-stabilizing properties
Sea state monitoring by ship motion measurement and analysis to increase the safety of ships and navigation
No full textKnowledge of sea state conditions is of central importance for a wide range of maritime operations. This thesis presents two novel numerical methods for estimating unimodal and bimodal short-crested seas. Both methods are formulated in the frequency domain as parametric models and employ the JONSWAP spectrum to parameterise the wave spectra. The developed numerical procedures are validated through extensive tests, using synthetic ship motion data, generated by a MATLAB code, specifically developed for this research. Additionally, the unimodal method is further validated using a set of full-scale data. The results demonstrate promising performances and confirm the accuracy of the proposed estimation techniques. Overall, this study demonstrates that these numerical approaches can significantly enhance the ship safety and contribute to the environmental protection if appropriately integrated with the on-board decision-making systems
A hybrid CFD-DNN framework for ship motion prediction based on residual learning
No full textAccurate time-domain prediction of ship motions in irregular waves is critical for assessing dynamic stability and operability. While Reynolds-Averaged Navier-Stokes (RANS) simulations provide high-fidelity insights, they are constrained by prohibitive computational costs and often exhibit systematic discrepancies, such as numerical dissipation and phase lags, under nonlinear conditions. This paper proposes a data-efficient hybrid modeling framework that synergizes the physical priors of CFD with the nonlinear approximation capability of Deep Neural Networks (DNN) to enhance prediction accuracy. Unlike traditional surrogate models, the proposed architecture employs a residual learning strategy, explicitly training the network to correct the systematic errors between numerical predictions and model test measurements. To address the challenges of data sparsity and experimental noise common in marine engineering, the network incorporates Swish activation functions and a robust SmoothL1 loss function. The framework is validated using experimental data from a Chemical Tanker in irregular waves. Despite being trained on a limited dataset (720 samples), the hybrid model significantly outperforms standalone CFD. Statistical analysis shows a reduction in Mean Absolute Error (MAE) for heave motion from 0.97 m to 0.59 m. The proposed approach reduces computational time from days to milliseconds while maintaining physical consistency, offering a robust tool for digital twinning and rapid design evaluation under data-scarce conditions
The impact of copper price on long-run volatility and tail dependence of U.S. banking returns: a GARCH-MIDAS and copula approach
No full textHow circular start-ups are shaping the future of entrepreneurial ecosystems
No full textIn a context marked by environmental challenges and the urgency for sustainable innovation, circular start-ups
(CSUs) are recognised for their ability to drive organisational, cultural, and systemic change through adaptive
and collaborative approaches. This research examines the crucial function of CSUs in promoting sustainable
entrepreneurial ecosystems (SEEs) through an exploratory multiple case study analysis of Italian start-ups across
several sectors. Empirical evidence was obtained mainly through primary data, while additional secondary
sources were included to strengthen the contextual reliability of the study. The findings reveal that CSUs operate
as dynamic agents capable of shaping open yet cohesive networks, leveraging digital technologies, and integrating
sustainability principles across value chains. By employing self-organising structures, fostering crosssectoral
collaborations, and adhering to circular economy principles, these start-ups facilitate the dissemination
of revolutionary business strategies and the evolution of entrepreneurial ecosystems into more resilient,
inclusive, and regenerative systems
Recommendations and Roadmaps Towards Intelligent Railways
No full textThis paper provides an overview of the main results achieved within the Horizon 2020 Shift2Rail project named RAILS (Roadmaps for Artificial Intelligence Integration in the Rail Sector). The RAILS roadmapping process provided state-of-the-art, taxonomy, future research directions, and recommendations in three macro areas: Railway Safety and Automation, Predictive Maintenance and Defect Detection, and Traffic Planning and Management. RAILS findings shed light on the potential of intelligent technologies and provided essential guidelines for integrating machine learning into next-generation smart railways
Rising from the pandemic: do ESG factors matter for resiliency in the Italian Stock Market
No full textEnvironmental Accounting for the Measurement of Public Value: Theoretical Profiles and Empirical Evidence
No full textThis dissertation investigates Public Value as its primary object of inquiry and adopts Environmental Accounting as the main analytical lens through which public value can be measured, interpreted, and operationalized. Building on the assumption that what organizations measure shapes what they do, the study explores whether and how environmental accounting can move beyond a purely technical role to become an enabling mechanism for sustainability-oriented decision-making and governance. The research is grounded in the evolution of accounting as a social, organizational, and moral practice, and situates environmental accounting within contemporary debates on sustainability, accountability, and public value. The theoretical framework integrates insights from institutional logics theory, paradox theory, and public value theory, allowing the study to address the complexity of hybrid organizations operating at the intersection of economic efficiency, regulatory compliance, community responsiveness, and ecological responsibility. Methodologically, the dissertation combines a bibliometric analysis of the environmental accounting literature with an in-depth qualitative case study. The empirical analysis adopts an action research approach conducted within a municipal corporation operating in the waste management sector in Southern Italy. Through participant observation, interviews, informal conversations, and document analysis, the study examines the co-design and implementation of a carbon footprint system and its integration into organizational practices. The findings show that environmental accounting functions as a mediating infrastructure that renders institutional tensions visible and governable. By enabling the measurement of environmental impacts, environmental accounting supports the emergence of economic, ecological, social, and institutional outcomes that together constitute public value. Public value, in turn, acts as an integrative mechanism through which competing institutional logics are aligned and reoriented toward collective goals. The dissertation contributes to the literature by conceptualizing environmental accounting as a strategic device for public value creation in hybrid organizations and by demonstrating its role in supporting sustainability transitions within the public sector
Architetture dell’assistenza: il modello proto-industriale del Real Albergo dei Poveri/Architecture of Assistance: e Proto-Industrial Model of the Real Albergo dei Poveri
No full textThe impressive architecture, and urban location, of the Real Albergo dei Poveri in Naples, founded in 1751
by Charles III and his wife Maria Amalia, had a very specific symbolic and real significance. On the one hand, it
responded to the idea of grandeur with which the magnificence of the sovereigns and the prestige that was to be conferred
on the capital of the Kingdom were to be celebrated. On the other hand, it created a new model of centralised confinement
which, by institutionalising charity, replaced the practice of charity that was widespread throughout the urban area. The
philanthropic character, implemented through its residential and accommodation function, was accompanied by the
possibility for guests to carry out productive activities using workshops and studios.
Therefore, the initial project, linked to economic objectives that diverged from those of traditional private charity, also
influenced the internal organisation of the building, in which opportunities for integration with economic growth and the
development of the local manufacturing fabric were to be realised. The structure and internal organisation can be classified
as total institutions based on forced labour. In the Real Albergo, forced labour also left room for activities aimed at
training human capital capable of finding independent means of subsistence outside the perimeter of the building
Carbon Accounting for the Sustainable Transition. Accountability, Compliance, and Climate Change
No full textWith the window to keep the 1.5-degree goal alive rapidly closing, it is now more crucial than ever for organizations to intensify the scope and pace of their actions. This book focuses on the existing gaps in the sustainability accounting research field for carbon matter. It addresses the decarbonization practices adopted by firms to achieve the sustainability transition, including the implementation of new technologies and sustainable practices, analyzing their impact from a socioeconomic and environmental perspective. This book provides a rigorous systematization of scientific literature and grey literature concerning the measurement and reporting systems for the carbon processes that firms are adopting to mitigate climate change. The evolving regulatory landscape and the increasing institutional pressures underscore the responsibility of each actor, including firms, in making a concrete contribution to a sustainable future. The call for the actions to be taken aligns with the need for a solid framework to guide efforts toward achieving goals related to people, planet, prosperity, peace, and partnership. These efforts align with the United Nations 2030 Agenda, reflecting a global commitment to sustainable development across environmental and social dimensions. Positioning firms as pivotal agents in climate mitigation, the book highlights the growing importance of integrating artificial intelligence into sustainability accounting and disclosure processes. It advances timely questions about how artificial intelligence can support ethical, transparent, and effective reporting while helping organizations strike a balance between profitability and environmental stewardship, an issue that remains central to current debates among scholars, practitioners, and corporate consultancy firms. © 2026 Assunta Di Vaio and Tayyab Ali