Parthenope University of Naples
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On the Context-Aware GNSS Navigation: Test of a k-Nearest Neighbors Classifier in Different Environments
No full textIl fascicolo sanitario elettronico tra universalismo sanitario e divario digitale generazionale
No full textAiuti di Stato e tutela ambientale tra regimi di esenzione e nuovi equilibri per lo sviluppo industriale
No full textImproving the accuracy of GOCO06s global geoid model on Sardinia Island (Italy) using Ordinary Kriging interpolation in GIS
No full textThe geoid is the equipotential surface of the Earth's gravity field that best approximates mean sea level. In many applications of geomatics the availability of a geoid model is fundamental as it allows to transform the ellipsoidal heights provided by the GNSS (Global Navigation Satellite System) survey into orthometric heights, i.e. referred to the mean sea level. There are global-scale geoid models, while others exist on a regional scale and are more accurate than the former. Global geoids are generally obtained from measurements of the terrestrial geopotential carried out from space, appropriately integrated with data obtained in situ. This article focuses on the possibility of improving the accuracy of the global model GOCO06s (GOCO is the acronym of Gravity Observation Combination) in a local area, Sardinia Island (Italy), through two operations carried out in Geographic Information System (GIS) and based on the comparison with the local model (at national scale) ITALGEO2005: the removal of the bias found between the two (global and local) models, and the application of the Ordinary Kriging interpolator on the residuals that still remain between the two surfaces compared. The first operation determines a considerable improvement, demonstrated by the RMS value dropping from 1.000 m to 0.365 m. The second operation further increases the accuracy of the model since, with the use of 60 Ground Control Points, an RMS equal to 0.140 m is reached
Towards decentralized ecological monitoring: A local-first web-based AI platform for sea turtle detection
No full textAccurately monitoring sea turtle populations is crucial for informing effective conservation strategies; however, traditional methods for assessing spatial distribution and abundance are time-consuming, labour-intensive, and prone to observer bias. Unoccupied Aerial Vehicles (UAVs) have become valuable tools for collecting high-resolution imagery with minimal disturbance to marine fauna. However, the lack of standardized and user-friendly platforms for processing UAV data limits their broader application. In this paper, we present a lightweight browser-based web application designed to streamline the analysis of video collected by UAVs to monitor sea turtles. The application requires no additional software installations beyond a modern web browser and operates entirely on the client side, preserving data privacy. It supports the integration and execution of artificial intelligence models locally, facilitating the automated detection and classification of turtles in video footage. This tool, freely available, bridges the gap between UAV data collection and effective conservation-oriented decision-making by enabling rapid, standardized, and scalable analysis. Our approach promotes community-driven development and the reuse of AI models, making environmental monitoring practices more accessible and collaborative
Urbanization, Industrialization, and Energy Transition: An Empirical Analysis of Life Expectancy in a Developing Economy
No full textUrbanization is a defining feature of contemporary development, shaping economic opportunities, social structures, and health outcomes. This study examines the influence of urbanization on life expectancy in Bangladesh, with particular attention to the role of the energy mix and industrialization. Using annual data from 1971 to 2024 and applying the Autoregressive Distributed Lag (ARDL) model based on results of the unit root test, where some variables are stationary at level I(0) and some are at first difference I(1), the analysis explores both short- and long-run dynamics. The results indicate that a 1% increase in urbanization raises life expectancy by 0.09% in the short run. Moreover, non-renewable energy consumption and industrialization are found to exert a positive impact on life expectancy due to extensive contribution to national development, where industrialization depends on energy consumption and industrialization leads the economic development in Bangladesh. On the other hand, renewable energy has failed to raise life expectancy due to lack of renewable energy access in Bangladesh. In addition, in the long run, urbanization has a positive impact, where a 1% increase of urbanization leads to raise life expectancy 0.10%. By linking urbanization, energy use, and industrial development, this research addresses a gap in the literature regarding their combined effect on human longevity in developing contexts. The study's findings have suggested policy implications for developing countries to improve urban residents' life expectancy by considering the aim of sustainable development goals (SDGs) 3, 7, and 11
Social isolation and loneliness effects on medication adherence in older adults: perspectives from a systematic review
No full textBackground: Demographic, social, and familial changes have led to an increase in the lack of family and support systems, which is particularly relevant for older adults who may be at risk for low medication adherence. This study examines the relationship between social isolation and/or loneliness and medication adherence in older adults, also identifying the measurement tools used to explore this relationship. Methods: We conducted a systematic review according to PRISMA guidelines, searching databases including PubMed, CINAHL, PsycINFO, and EBSCO. The quality of evidence was assessed following the GRADE approach, integrated with the JBI Critical Appraisal Tools, NOS for cohort studies and AXIS tools. Results: In the final synthesis, we included five articles. According to the findings of the study, social isolation and loneliness may negatively affect medication adherence in older adults. Loneliness and social support may have a mediating role in the relationship between social isolation and medication adherence. Conclusions: Loneliness and social isolation could influence medication adherence in older patients, especially in managing chronic conditions, but more robust research is needed to confirm the associations between social isolation, loneliness, and medication adherence. However, addressing loneliness and social isolation may be critical to improving medication management among older adults
Ann d’Angleterre de Julia Deck au filtre de l’autosociobiographie
No full textCet article analyse Ann d’Angleterre (2024) de Julia Deck en tant qu’exploration
des dynamiques mère-fille, où se conjuguent réappropriation de la figure maternelle,
affirmation de la subjectivité de la narratrice et inscription des déterminations
socio-culturelles. L’étude met en lumière la fonction critique et thérapeutique
de l’écriture, qui, en intégrant l’expérience de la maladie et les fractures
sociales, érige la littérature en médium privilégié de relecture du lien filial
Craft Non-Alcoholic and Low-Alcohol Beer (NABLAB): Perceived Role as Functional Foods Among Italian Consumers and a Focus on Benefits for Well-Being and Physical Activity
No full textBackground/objectives: Craft non-alcoholic and low-alcohol beer (NABLAB) is attracting increasing attention as potential functional beverages due to their content of bioactive compounds such as polyphenols, vitamins, and minerals, and their suitability for health-oriented lifestyles. This study investigated Italian consumers' perceptions of craft NABLAB and explored possible generational differences in their acceptance. Methods: A descriptive cross-sectional online survey was conducted between March 2024 and March 2025 among adults living in Italy. The questionnaire, composed entirely of closed-ended questions, investigated familiarity with craft NABLAB, attitudes toward their potential health-related properties, and willingness to recommend them. Results: A total of 527 valid responses were analyzed descriptively and grouped by generation (Generation Z, Millennials, Generation X, and Baby Boomers). Results showed that 68.3% of participants would recommend craft NABLAB to others interested in their functional properties, while 55.0% reported higher motivation to purchase when informed about their potential health benefits. Familiarity with these products remained limited (34.7% had tried them, and only 22.2% considered them easy to find). Baby Boomers and Millennials were more receptive, possibly due to greater health awareness and openness to innovation, whereas Generation Z displayed curiosity despite lower consumption experience. Conclusions: Overall, Italian consumers show a growing interest in craft NABLAB, especially when linked to wellness and active lifestyle benefits. Enhancing product availability and communication focused on health and functionality could promote more moderate and conscious drinking habits, contributing to a gradual cultural shift toward reduced alcohol consumption
Generative artificial intelligence and decision-making: evidence from a participant observation with latent entrepreneurs
No full textPurpose – This paper investigates how individuals without prior entrepreneurial experience interact with generative artificial intelligence (GenAI) when making decisions related to an entrepreneurial task. The study aims to develop a conceptual framework to underline the main factors influencing human–GenAI interaction, clarifying how GenAI can support, rather than substitute, human decision-making in complex contexts. Design/methodology/approach – The authors collected data using a participant observation methodology by employing a conversational GenAI tool. Additionally, a post-observation survey was administered to gather participants' opinions about the technology. Secondary data were also collected. The authors analysed the data through an inductive thematic analysis. Findings – The analysis led the authors to develop three main themes: (1) Human–machine interaction: Taking or Giving? Participants could interact with the machine by adopting two different behaviours, taking and giving knowledge or opinion. (2) Humans as leaders of the conversation, humans gained responses which did not always meet their expectations, deciding to lead the conversation. (3) Perspective on GenAI: Operational tool vs Learning source, participants leveraged the machine's operational and informational capability or intended it as a learning source. Originality/value – This paper provides several insights for understanding how individuals without previous experience interact with GenAI when making decisions in a complex setting. This paper provides theoretical and practical contributions supporting the Human + paradigm