Parthenope University of Naples
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Interplay between sex, age, BMI, health-related quality of life, and coping strategies in amateur and professional athletes
No full textBackground/Objectives: The psychological well-being of athletes has garnered increasing interest due to its strong association with physical performance. While somatic indicators such as Body Mass Index (BMI) are routinely monitored in sports, the role of psychological resources—especially coping strategies—in shaping Health-Related Quality of Life (HRQoL) remains underexplored. This study aimed to investigate the influence of psychological and physical factors on HRQoL among amateur and professional athletes, controlling for sex, age, and BMI. Methods: A cross-sectional design was adopted, involving 537 athletes (326 males, 211 females; mean age = 32.44, SD = 13.64), aged 18–76 years. Participants were recruited via online platforms and sports organizations and completed a battery of self-report questionnaires, including the SF-36 to assess HRQoL and the COPE-NVI-25 to evaluate coping strategies. BMI was calculated from self-reported height and weight. Hierarchical multiple regression analyses were performed to assess the relative contributions of demographic, anthropometric, and psychological variables to HRQoL. Results: Demographic variables and BMI explained a limited proportion of the variance in HRQoL. In contrast, coping strategies significantly contributed to HRQoL outcomes, accounting for up to 22.5% of the variance in the global SF-36 score. Positive attitude and social support were associated with better physical and mental health, while avoidance strategies showed consistent negative associations across all HRQoL dimensions. Conclusion: Adaptive coping strategies, particularly positive attitude and social support, play a pivotal role in enhancing athletes’ HRQoL, surpassing the influence of BMI, sex, and age. These findings support the development of tailored psychological interventions to foster athlete wellbeing across competitive levels
L’avviso al cancelliere e la dimenticanza del difensore: l’omissione non invalida la notifica dell’impugnazione
No full textIl saggio prende spunto da un rinvio della terza sezione della Cassazione alla pubblica udienza per mostrare che l’omissione dell’avviso al cancelliere non si rende sanzionabile sol perché la notificazione dell’impugnazione proviene dal difensore, anziché dall’ufficiale giudiziario
OPTIMISATION OF SOC CELLS: PATTERNS AND PREDICTIONS OF EXPERIMENTAL DATA
No full textThe global energy landscape is undergoing a significant transformation as nations strive to meet sustainability goals and reduce reliance on fossil fuels. A central player in this transition is Solid Oxide Cells (SOCs) technology, which is redefining energy conversion and storage by functioning as dual-purpose devices: generating electricity in fuel cell mode and producing hydrogen or synthetic fuels in electrolysis mode. These highly efficient electrochemical cells can operate using a wide variety of fuel sources, including natural gas, hydrogen, and biogas, making them versatile tools for enhancing modern energy systems.[1]
This research investigates the predictive analysis of solid oxide cell (SOC) performance. The preliminary phase involved the compilation of experimental data obtained parametrically under both fuel cell and electrolysis conditions, encompassing both electrolyte-supported and anode-supported cells. This approach guaranteed a sufficiently extensive dataset to substantiate the model's accuracy. Following this, two models were concurrently developed: one deterministic and one stochastic, aimed first at simulating the experimental data and subsequently at predicting the behaviour of short stacks. Both models exhibited congruent predictive behaviours, thereby affirming their validity for the analysis of short stacks
Assessing the Spatial Dimension in Financial Analysis: Evidence from Italian SMEs
No full textEffective risk assessment is a prerequisite for informed financial decision-making and sustainable economic growth, as it supports efficient capital allocation and helps mitigate systemic vulnerabilities. This requires advanced predictive frameworks that account for the broader economic and financial context in which firms operate. This study addresses the research gap related to the limited adoption of spatial models in financial analyses by assessing how the integration of the spatial dimension into machine learning classification models enhances their overall performance. Focusing on Italian small and medium enterprises (SMEs) as a case study and using firm-level data from the AIDA database for the year 2022, the analysis compares results from the non-spatial probit model with the probit spatial autoregressive and spatial Durbin models. The findings demonstrate that spatial models consistently outperform the
non-spatial specification in terms of accuracy, sensitivity and specificity, particularly when the spatial proximity parameter is optimally defined. Moreover, the results show that financial distress tends to cluster geographically, and that firms’ default risk is influenced not only by intra-firm indicators but also by the characteristics of nearby firms
Transforming business-to-business marketing from tradition to digitalization: a taxonomic review of current trends, methodologies and future paths
No full textPurpose – Despite the numerous benefits of digitalization, many business-to-business (B2B) firms have yet to rely on data-driven decision-making, wavering the decision to adopt digital marketing practices. Topical scholarship is scattered across disciplines, schools of thought and methodological approaches, leading to an inability to suggest better management practices. This study aims to review the extant B2B marketing digitalization literature and addresses these concerns. Design/methodology/approach – This paper conducted a systematic literature review of 96 high-quality articles extracted from the Web of Science database. Thereafter, this paper carried out descriptive statistical and content analyses of these articles. Findings – Six primary research streams have been identified, and 16 research propositions have been formulated to comprehensively overview the B2B marketing digitalization landscape. The study delves into the factors and barriers influencing the pace of B2B marketing digitalization, sales lead generation and sales performance. Additionally, it introduces B2B digital value creation frameworks, emphasizing the crucial role of marketing analytics and decision tools in effective B2B marketing. The research also underscores various digitalization strategies aimed at bridging the digitalization gap in B2B companies at both strategic and tactical levels. Finally, the study presents an agenda to stimulate future research on theoretical and managerial topics critical to enriching the field. Originality/value – This research outlines 16 research propositions that could be further tested to get more detailed insights into the digitalization of B2B marketing. Additionally, practitioners, authorities and researchers in the field may find this review valuable as it provides a comprehensive overview of current research in the domain
Flexible an Low Cost Fuel Consumption Prediction in Heavy-Duty Vehicles Using Machine Learning
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Introduction. « Genre·s & Corps » à la croisée des disciplines
No full textCe recueil se propose ainsi de nourrir la réflexion, d’ouvrir des espaces
de dialogue critique entre disciplines, de remettre en jeu des certitudes et
de fournir de nouvelles grilles de lecture du rapport entre corps et genre
en enchevêtrant différentes disciplines. Les contributions qui suivent
témoignent d’une volonté commune de penser le genre et le corps non
comme des évidences, mais comme des constructions mouvantes, des
champs de bataille, des objets d’action et de négociation continuelles.
Les dix-sept contributions ont été organisées en deux sections : la première,
davantage centrée sur les enjeux littéraires, et la seconde, orientée
vers l’analyse des implications médicales, sociales et juridiques des notions
de genre et de corps
Strategic Carbon Disclosure and Accountable Efficiency: Reporting Shipping Industry Scope 3 Emissions
No full textFollowing increasing regulatory and stakeholder pressures, shipping companies are adopting carbon management strategies and sustainability reporting to align with their long-term goals. This study investigates how global leading shipping companies integrate carbon accountable efficiency, the responsible management of emissions per output through carbon metrics in environmental reporting, into their operational and strategic practices to reduce Scope 3 emissions, encompassing indirect emissions across the value chain, and contribute to SDG7 of the United Nations 2030 Agenda. A dual-level content analysis integrating text mining and manual coding of 171 sustainability reports published between 2018 and 2024 is conducted. Although decarbonization is prominent in company narratives, empirical research on its reporting, standardization, and company goal alignment remains limited. Results reveal varied carbon efficiency integration, focus on renewables and low-carbon logistics, and inconsistent Scope 3 reporting, highlighting the need for standardization and the role of sustainability reporting in supporting decarbonization and SDG7–Target 7.2