Parthenope University of Naples

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    25902 research outputs found

    Carbon and Decarbonization Disclosure: Role of Responsible Innovation in Adoption of Artificial Intelligence of Things towards SDGs

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    This chapter relates carbon disclosure and performance in three different levels i.e., financial performance by incorporating financial reporting, operational performance by incorporating operational reporting and sustainability performance by incorporating sustainability reporting with decarbonization practices supporting by the institutional, legitimacy and stakeholder theories. It further discusses the relation of digital technologies, especially Artificial Intelligence (AI) and Internet of Things (IoT) in decarbonization processes as the worldwide use of technology gives a solution to maintain development without harming the nature. This chapter focuses on these technologies to understand the role of digital transformation in decarbonizing processes and the challenges for the non-financial disclosure on the decarbonization practices adopted by the enterprises. The enterprises are engaged in the "accountable" behaviors and "transparent" sustainability disclosure to demonstrate their governance model based on Responsible Innovation (RI) for the Artificial Intelligence of Things (AIoT) adoption in the decarbonization practices to meet Sustainable Development Goals (SDGs) especially SDG 5. This sustainable goal purposes to achieve gender equality as strategic resource for business success, which often treated as "victim" of technological innovations adoption. The analysis based on literature and international organizations’ reports is developed regarding carbon disclosure and decarbonization practices which adopt AIoT and its implementation with respect to RI to meet SDG 5 adopted by UN 2030 Agenda

    Geometric slow-fast analysis of a hybrid pituitary cell model with stochastic ion channel dynamics

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    To obtain explicit understanding of the behavior of dynamical systems, geometrical methods and slow-fast analysis have proved to be highly useful. Such methods are standard for smooth dynamical systems and increasingly used for continuous, non-smooth dynamical systems. However, they are much less used for random dynamical systems, in particular for hybrid models with discrete, random dynamics. Here we propose a geometrical method that works directly with the hybrid system. We illustrate our approach through an application to a hybrid pituitary cell model in which the stochastic dynamics of very few active large-conductance potassium (BK) channels is coupled to a deterministic model of the other ion channels and calcium dynamics. To employ our geometric approach, we exploit the slow-fast structure of the model. The random fast subsystem is analyzed by considering discrete phase planes, corresponding to the discrete number of open BK channels, and stochastic events correspond to jumps between these planes. The evolution within each plane can be understood from nullclines and limit cycles, and the overall dynamics, e.g., whether the model produces a spike or a burst, is determined by the location at which the system jumps from one plane to another. Our approach is generally applicable to other scenarios to study discrete random dynamical systems defined by hybrid stochastic-deterministic models

    ESG controversies and profitability in the European banking sector

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    This paper empirically investigates the relationship between Environmental, Social, and Governance (ESG) Controversies and bank profitability. We analyze an unbalanced panel sample of European banks between 2015 and 2022, implementing the GMM-SYS version of the Arellano-Bond estimator for dynamic panels. The study results indicate that banks featuring more ESG controversies perform better in terms of Return on Assets (ROA), Return on Equity (ROE), and Net Interest Margin. This sheds light on the potentially opportunistic behavior of credit institutions, which appear to prioritize profitability over ESG Controversies

    On wave propagation in nanobeams

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    Wave propagation in Rayleigh nanobeams resting on nonlocal media is investigated in this paper. Small-scale structure-foundation problems are formulated according to a novel consistent nonlocal approach extending the special elastostatic analysis in Barretta et al. (2022). Nonlocal effects of the nanostructure are modelled according to a stress-driven integral law. External elasticity of the nano-foundation is instead described by a displacement-driven spatial convolution. The developed methodology leads to well-posed continuum problems, thus circumventing issues and applicative difficulties of the Eringen–Wieghardt nonlocal approach. Wave propagation in Rayleigh nanobeams interacting with nano-foundations is then analysed and dispersive features are analytically detected exploiting the novel consistent strategy. Closed form expressions of size-dependent dispersion relations are established and connection with outcomes available in literature is contributed. A general and well-posed methodology is thus provided to address wave propagation nanomechanical problems. Parametric studies are finally accomplished and discussed to show effects of length scale parameters on wave dispersion characteristics of small-scale systems of current interest in Nano-Engineering

    Knowledge and Food Sustainability: the Metaverse as a New Economic-Environmental Paradigm

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    Nowadays the metaverse may represent the line between the most avant-garde innovations of the present and the possible development potential of the next years. The present article aims to show for the first time the potential that this innovative technological opportunity offers in the coming years. By looking at the current state of knowledge and, above all, with the help of empirical evidence from the metaverse’s main application business cases in the food sector, it is possible to understand how food companies can survive in the increasingly fierce world competition. The considerations that derive from the observation of these corporate excellent examples highlight that it is increasingly necessary to strategically invest in all three dimensions of sustainability, but also in novel new technological innovations. So, from the analysis of the most important available case studies, it is clear that metaverse is definitely a very particular innovation capable of opening up new and sustainable economic opportunities for companies in the food industry. At the current state of research, there are no comparable studies on this topic, especially in agri-food systems. Yet, this is only a starting point for further research in the future. Nonetheless, we can already recognize the strategic potential of virtual universes

    Improving the performance of room temperature magnetic regenerators using Al2O3-water nanofluid

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    The present study examines the use of Al2O3-water nanofluid as the heat transfer fluid in a magnetic regenerator and evaluates the improved cooling capabilities of the device. Room-temperature magnetic refrigeration exploits a special property of some materials, the “magnetocaloric effect”, that is the ability of the material to change its temperature when exposed to rapid changes in an external magnetic field. As adiabatic magnetic field variations of 1 to 1.5 T produce a small temperature change of a few degrees, active magnetic regeneration is often employed to achieve larger temperature spans for practical cooling applications. The effectiveness of this process greatly depends on the properties of the heat transfer fluid, which is usually a water-based mixture. High values of the fluid thermal conductivity enhance heat transfer allowing for higher cooling capacity. This work presents the outcome of a comprehensive simulation study evaluating the improved performance of a gadolinium-based regenerator using a water-based mixture with added Al2O3 nanoparticles as the heat transfer fluid. In this analysis, both the volume concentration of nanofluid and the particle size were varied. The combined effect of heat transfer enhancement and pressure drop increase was also investigated through the second law efficiency. On average, a more than 15 % increase in cooling capacity was observed when using Al2O3 (6 % vol, 20 nm particles), and the COP can be preserved or increased with a properly tuned regulation of the cycle time and the utilization factor of the regenerator


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    Archivio della ricerca - UniversitĂ  degli studi di Napoli "Parthenope" is based in Italy
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