Parthenope University of Naples
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Data-Driven Modeling of H2-SCR Catalysts for Real-Time Estimation of NOx Reduction Efficiency
No full textEvaluation of GPM DPR Precipitation Products after Orbit Boost Using Disdrometers in Italy
No full textPrecipitation measurements are crucial for improving climate models and weather forecasting, with satellite-based radar systems, such as the Dual Precipitation Radar (DPR) on board the Global Precipitation Measurement Core Observatory (GPM CO), playing a pivotal role in enhancing observational coverage, especially in remote regions. In November 2023, an orbit boost maneuver raised the GPM CO’s altitude from 400 km to 435 km, potentially influencing the quality of DPR data. This study evaluates the impact of this altitude increase on the accuracy of DPR-derived precipitation products by comparing data acquired before and after the orbit boost. We assess the performance of DPR measurements against ground-based laser disdrometer data collected in Italy between May 2018 and November 2024. The results highlight the effects of the altitude change on rainfall retrievals, contributing to a better understanding of how orbital adjustments can affect satellite-based precipitation observations
Tecnocrazia e "amministrativizzazione"dell’ecosistema digitale: un’endiadi possibile
No full textThe new technocratic objectivity calls into question traditional legal categories, the very distinction between public and private law, worsening the crisis of the normative framework and further ac-centuating the related crisis of sources.
The technological epiphany, of which digital platforms are a vivid representation in terms of per-vasiveness and transversality, gives rise to a dense and complex interaction between law, politics, science, and technology
Growth hacking and network effects: learning for growth and learning for survival
No full textGrowth Hacking is a data-driven methodology aimed at achieving rapid business growth, applicable across different industries. While widely regarded as a practitioner- driven concept, its theoretical foundations remain underexplored, particularly regarding the role of network externalities and organizational learning in its processes. This study investigates how network externalities influence organizational learning during the four key phases of Growth Hacking. Using a qualitative case study approach, the authors analyzed Atida eFarma, an Italian digital drugstore startup that successfully employed Growth Hacking strategies to rapidly growth. Thematic analysis reveals how network externalities shape strategic trajectories and accelerate learning processes, highlighting their critical role in the Growth Hacking journey. This research enriches the academic discourse by unveiling the intricate dynamics between Growth Hacking, network externalities, and organizational learning, proposing directions for future investigation
Optimal cut-off scores for the Mini Mental State Examination and Montreal Cognitive Assessment to detect MCI and dementia in Multiple System Atrophy
No full textBackground: Mild cognitive impairment (MCI) and dementia are reported in up to 44 % and 7 % of patients with Multiple system atrophy (MSA), respectively. The sensitivity and discriminative power of brief cognitive screening tools such as the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) for detecting MCI and dementia in MSA has not yet been evaluated. Objective: The aim of this study was to determine the optimal cut-off scores of the MMSE and MoCA for accurately differentiating MSA patients with MCI and dementia from those with normal cognition. The fluency item of MoCA was also assessed separately for the same purpose. Methods: Sixty-two MSA patients underwent a comprehensive II level neuropsychological evaluation, in order to diagnose dementia or MCI. ROC analyses were used to establish the optimal cut-off scores for MCI and dementia, respectively. Results: According to the II level neuropsychological evaluation, 4.8 % of MSA patients met criteria for dementia and 53,2 % for MCI. The optimal MMSE cut-off scores were 20.5 for dementia (AUC = 0.915) and 26.5 for MCI (AUC = 0.698). For MoCA, the most accurate cut-offs were 14.0 to detect dementia (AUC = 0.919) and 19.5 to detect MCI (AUC = 0.702).ROC analysis suggested that both tests were more accurate to identify MCI than dementia. The optimal cut-off for MoCA fluency item to identify MCI was 8.5 words (AUC = 0.717). Conclusion: Our findings support MMSE and MoCA as effective and accessible tools to detect MCI and dementia in MSA. MoCA fluency item emerged as a reliable tool to detect MCI
The implication of board diversity on the ‘S’ of ESG: insight from the Italian Listed companies
No full textThe study aims to examine the influence of cultural and gender diversity within the Board of Directors (BoD) on the social per-formance of ESG disclosure, with a particular focus on a selected sample of Italian listed companies. The study aims to fill the gap in the literature on the role of BoD diversity on environmental, social and governance (ESG) performance in the Italian cor-porate governance context. Drawing on resource dependence theory and human capital theory, the research examines whether gen-der and cultural diversity within the board positively affect the social dimension of ESG disclosure. This social dimension includes employee relations, human rights and community responsibility. The study uses a quantitative methodology, analysing data from Italian listed companies from 2021 to 2023. Secondary data was collected from annual reports and the Thomson Reuters Ei-konTM database, focusing on gender diversity (measured by the percentage of female directors) and cultural diversity (measured by the percentage of foreign directors). The social aspect of ESG performance, which serves as the dependent variable, is assessed using social scores provided by the same database. The study uses regression analysis to examine the relationship between board diversity and social ESG performance, controlling for company size, leverage and profitability. The results show that board gender diversity has a positive effect on social performance, supporting the hypothesis that female directors contribute to improved corporate social re-sponsibility. Conversely, the study reveals no notable correlation between cultural diversity and social performance. This indicates that the mere presence of foreign directors does not inherently enhance a firm's social outcomes. Moreover, larger firms tend to ex-hibit superior performance in the social domain, whereas leverage and profitability do not demonstrate a significant impact on ESG performance. This research corroborates the positive impact of gender diversity on social performance, thereby reinforcing the importance of gender quotas and diversity initiatives in corporate governance. However, the study prompts further investigation into the direct impact of cultural diversity, suggesting that additional research is necessary to ascertain the circumstances under which cultural diversity may positively influence social performance. The originality of this contribution lies in its focus on the Italian context, which has hitherto been the subject of limited academic exploration regarding the relationship between BoD diversity and ESG performance. The findings offer valuable insights for policymakers and companies seeking to enhance their social responsibility through board composition
Uno spettro si aggira per l’Italia: la sentenza a contraddittorio non integro
No full textLa Cassazione nega rilievo al difetto d’integrità del contraddittorio quando non vi sono ragioni per accogliere nel merito l’impugnazione. Il saggio prova a mostrare che l’indirizzo, ispirato dalle istanze di economia e di durata ragionevole, in realtà tradisce ambo le aspirazioni perché incapace di risolvere definitivamente la contesa fra i litiganti.The Court of Cassation deems the violation of the compulsory joinder of parties to be irrelevant when the appeal is meritless. The essay attempts to show that this approach, inspired by economic and reasonable time needs, actually betrays both aspirations because it is incapable of definitively fix the dispute between the litigants
Decoding the coffee supply chain: A systematic review of stakeholders, sustainability opportunities, and challenges
No full textThe global coffee supply chain is undergoing significant sustainability transformations, driven by increasing environmental, social, and technological pressures. This study conducts a systematic literature review (SLR), guided by PRISMA criteria and complemented by a VOSviewer-based bibliometric analysis, to explore how sustainability is conceptualized and operationalized across the coffee value chain. Drawing from 137 peer-reviewed publications (2000–2024), the review addresses four interrelated research questions: (i) the roles and interactions of key stakeholders, (ii) cross-sectoral opportunities for coffee residue reuse, (iii) the influence of consumer preferences on market dynamics, and (iv) the adoption of digital technologies such as IoT, blockchain, and AI for transparency and traceability. Findings reveal that while sustainability discourse is expanding, the literature remains fragmented across environmental, socio-economic, and technological domains. The review identifies emerging clusters around agroecological practices, circular economy models, and digital traceability, emphasizing the need for integrated, multi-stakeholder strategies with priority research areas identified in agriculture, transportation, cosmetics, energy, and packaging. Limitations such as database coverage, potential selection biases, data variability and geographic representation are acknowledged. Future studies are encouraged to innovate and expand sustainable coffee practices to catalyze meaningful change. It also recognizes challenges like cost and scalability in implementing sustainable solutions, underscoring the need for continued research and multi-stakeholder collaboration to address these barriers effectively. The study concludes with actionable insights for researchers, practitioners, and policymakers to advance a cohesive and data-driven approach to sustainability in the global coffee sector
