Parthenope University of Naples
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Recovery capability of the tall sea pen Funiculina quadrangularis after fishing ban in the Adriatic Sea
No full textSAHARA: Heterogeneous Semi-Supervised Transfer Learning With Adversarial Adaptation and Dynamic Pseudo-Labeling
No full textSemi-supervised domain adaptation (SSDA) aims to transfer knowledge from a labeled source domain to a scarcely labeled target domain, despite distribution shifts. The challenge becomes greater when source and target data differ in acquisition modality, as in remote sensing where variations in sensor type (e.g., optical versus radar), spectral properties [e.g., RGB versus multispectral (MS)], or spatial resolution are common. This challenging scenario, known as semi-supervised heterogeneous domain adaptation (SSHDA), requires learning across modalities with limited target labels. In this work, we propose semi-supervised adaptation in heterogeneous domains via conditional adversarial representation disentanglement and adaptive pseudo-labeling (SAHARA), a new method for SSHDA that combines conditional adversarial feature adaptation with dynamic pseudo-labeling to learn domain-invariant features and handle extremely scarce target annotations. Experiments on two heterogeneous remote sensing benchmarks for scene classification, conducted with both convolutional and transformer-based backbones, demonstrate that SAHARA consistently outperforms existing SSHDA and semi-supervised methods
Building Blocks for the Credit Industry: Disentangling the Bank-firm Relationship
No full textThis chapter aims to explore how evolutions in banks’ business models have shaped bank-borrower relationships, especially from the perspective of corporate borrowers. Although business models have changed quite slowly in the banking industry over the past decades, the most significant disruptions have occurred all at once since the 2010s. A major one has been the steady decline in the number of physical branches, even across advanced economies such as the United States and Europe, reflecting a broader move away from physical infrastructure as the foundation of banking operations. The drivers of this transformation and its consequences for lender-borrower relationships remain topics of considerable interest. Accordingly, the chapter discusses the changing dynamics between banks and corporate clients, focusing on the interaction between traditional practices and technological developments. Existing literature underscores the reasons behind branch closures, emphasizing the role of technology in complementing and replacing conventional credit functions. Earlier studies have already explored the broader implications of de-branching, including potential effects on economic activity and corporate lending volumes. We review this literature, considering both theoretical perspectives and empirical findings. A recurring theme is the importance of information – its collection, processing, and integration – in shaping credit outcomes. Factors such as geographical and functional distance and institutional practices play a key role in determining the efficiency of credit allocation
Modeling and prediction of solid oxide cell short-stack performance using an hybrid DOE–ANN modeling approach
No full textThis work presents a comprehensive modeling and validation study of a commercially available solid oxide cell short stack operating in both fuel cell and electrolysis modes, with the aim to predict the mean cell voltage, obtained by dividing the total stack voltage by the number of cells voltage output, and measured stack temperature through a combined statistical and machine-learning approach. A Design of Experiments framework guided 113 experimental tests under varied current densities, gas flow rates, and thermal conditions, enabling the development of regression-based predictive models using stepwise selection. To better capture nonlinear behaviors and improve accuracy, a three-node artificial neural network was trained on the same dataset. Both models were evaluated using adjusted R-squared, RMSE, MAE, and RSS metrics, along with residual and parity plots. For example, the ANN reduced the temperature RMSE from 32.6 °C (Design of Experiments) to 19.6 °C (training) and 31.1 °C (validation). Results confirm that integrating Design of Experiments and ANN modeling yields accurate and interpretable predictions, offering a robust methodology to optimize SOC stack performance and support the practical application of this reversible electrochemical technology for hydrogen production, energy storage, and renewable energy integration in decarbonization strategies
Learning City: A Sports Model of Outdoor Education
No full textThis article examines an urban educational model capable of transforming the city into an extended, distributed, and inclusive learning space within the framework of Learning Cities. The analysis is grounded in the field of Outdoor Education, an evolving pedagogical approach that moves beyond traditional educational models by emphasizing direct experience, bodily engagement, and the relationship with the environment, in response to the challenges of a rapidly changing society (Chen et al., 2020). Within this perspective, physical activity acquires a central educational role. Urban and outdoor spaces are reimagined as contexts for distributed learning, contributing to the transformation of the city into an educational ecosystem oriented toward lifelong and inclusive learning, in line with the vision of Learning Cities (UNESCO, 2025). In this context, bocce emerges as a replicable urban model of inclusive and intergenerational educational practice. Its Paralympic dimension further enhances its pedagogical potential by fostering the participation of people with disabilities and supporting processes of individual and collective empowerment (Darcy et al., 2021). Additionally, bocce can be considered a low–environmental-impact activity, contributing to sustainability and ecological awareness. Overall, the analysis highlights how motor activities of this kind can serve as strategic tools for designing resilient and inclusive cities oriented toward lifelong learning, in accordance with the principles of Learning Cities (UNESCO, 2025)
Exploring vegetarian diets: health benefits, nutritional considerations, and implications for athletic performance
No full textThis narrative review explores the growing interest in vegetarian diets, driven by increasing awareness of health, environmental sustainability, and disease prevention. The rising popularity of vegetarianism stems from its recognized health benefits, including reduced risks of chronic conditions such as obesity, diabetes, and cardiovascular disease. While vegetarian diets have demonstrated potential in supporting overall health and longevity, concerns about nutrient deficiencies must be addressed through careful dietary planning. The review also examines the intersection between vegetarian diets and athletic performance, highlighting both the potential advantages and challenges for athletes. Plant-based diets may enhance endurance performance and positively influence gut microbiota; however, concerns remain regarding the adequacy of nutrients essential for strength and power-based sports, such as protein, creatine, and iron. Emerging evidence suggests that, when properly planned, vegetarian diets can effectively support athletic performance by ensuring adequate nutrient intake. By synthesizing current research, this review seeks to provide insights into the implications of adopting a vegetarian diet for general health and physical performance. It offers a balanced perspective on the benefits and potential limitations of vegetarianism. Future research should further investigate the molecular mechanisms through which vegetarian diets influence metabolic pathways and exercise-related responses, to better understand their long-term impact on athletic performance
LA RIFORMA DELLA CONTABILITA’ PUBBLICA, UN PASSAGGIO GRADUALE VERSO L’ACCRUAL ACCOUNTING
No full textOceanographic and weather forcing on PAH transport. The case study of mussel farming in the Gulf of Pozzuoli (Southern Tyrrhenian Sea)
No full textThis thesis investigates the oceanographic and meteorological mechanisms driving recurrent exceedances of polycyclic aromatic hydrocarbons (PAHs) in mussels farmed at Lucrino, within the Gulf of Pozzuoli (Southern Italy). Despite long-term monitoring, the processes responsible for contaminant transport and accumulation remained poorly understood. Two complementary experimental frameworks were designed to address this issue. A local model-based approach for the year 2016 integrating chemical monitoring, high-frequency physical and dynamical observations along the water column, oceanographic model outputs, and Lagrangian simulations to analyse the contamination episodes. The results revealed that PAH exceedances occur predominantly during late autumn and winter, under persistent southerly winds associated with enhanced wave energy (Wave height > 1.2 m; Wave period > 8 s). This setting induces sediment resuspension and northwestward nearshore advection from the Bagnoli brownfield toward Lucrino farm. An alternative and complementary regional altimetry-based approach used geostrophic velocities, wind datasets, and particle tracking to evaluate basin-scale contamination dynamics for the 2024 contamination events. The analyses identified wind-driven advection of nautical-fuel residues as a possible source of surface contamination, highlighting the combined role of maritime traffic emissions and large-scale circulation. The integration of both approaches provides a comprehensive multi-scale framework linking local sediment dynamics to regional atmospheric and oceanic forcing. The results demonstrate that PAH contamination at Lucrino might arise from two processes that could interact, namely sediment resuspension and wind-driven surface advection — both modulated by seasonal meteorological patterns. The two hypotheses regarding contamination sources, which account for multi-scale processes, form the basis for a forecast-oriented risk management strategy that integrates real-time meteorological data, hydrodynamic models, and satellite observations. Beyond the Gulf of Pozzuoli, the methodology is transferable to other semi-enclosed or industrially impacted coastal systems, supporting operational monitoring, pollution mitigation, and sustainable aquaculture management