Archivio istituzionale della ricerca - Università degli Studi di Venezia Ca' Foscari
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Lo sviluppo della metafora della Merkavah di Ezechiele nella tradizione giudaica.
Get PDFL’immagine del Carro divino nella visione di Ezechiele 1 non viene sviluppata nella tradizione ebraica postbiblica come metafora in senso proprio. È semmai il termine "merkavah", che in questa tradizione indica il Carro (e che nel testo di Ezechiele non compare), a divenire metafora di un insieme di pratiche e contenuti di carattere mistico il cui ultimo fine – allora come
oggi – non è sempre facile da discernere né da descrivere. Di questo Nachleben del termine, e delle concettualizzazioni e pratiche religiose che esso esprime nella più antica letteratura mistica dell'ebraismo postbiblico (i cosiddetti testi degli Hekalot), si tenta qui una panoramica
The use of artificial intelligence in healthcare to promote sustainable development goals: a bibliometric review and a future research and policy agenda
No full textContext: The United Nations' Sustainable Development Goals (SDGs) see health as the protagonist of SDG #3,
which is designed to guarantee the health of all individuals. Innovative solutions are required to reach the goal,
as many barriers are present, also following the outcomes of the COVID-19 pandemic. The current literature
agrees that technologies such as Artificial intelligence (AI), the Internet of Things, Virtual Reality, and Big Data
Analytics offer promising opportunities to improve healthcare delivery and support achieving SDGs' objectives.
When it comes to AI, literature underlines a gap in comprehending its actual impact on healthcare and
contribution to the SDGs.
Method: This study aims to address such a gap by conducting a bibliometric analysis on Scopus, the largest
scientific dataset. More in detail, emphasis was placed on articles labelled under the disciplines of business
management and medicine, addressing the implications of AI-based healthcare applications and their impact
on the SDGs. The initial queries produced 5,300 results, which were subsequently refined to a final sample of
1,020 articles through systematic filtering and abstract screening. The software Leximancer was employed to
analyse results and identify critical themes and clusters associated with the role of AI in healthcare.
Results: Five primary clusters of AI applicability in healthcare were identified. The initial cluster underscored the
importance of AI in enhancing healthcare systems and decision-making processes, emphasizing the
importance of collaboration between human healthcare providers and AI tools. The second cluster
concentrated on women's health, with AI assisting in identifying gender-specific hazards and developing
customized interventions. A third cluster was established to investigate diagnostic innovations, which involve
improving medical diagnoses through machine learning and deep learning algorithms. The fourth cluster
deepened the social determinants of health, illustrating how AI can mitigate disparities by analysing
socioeconomic factors. The fifth cluster focused on the role of AI during the COVID-19 pandemic, illustrating its
potential for outbreak prediction, resource optimization, and vaccine development.
Discussion: As a result, AI's integration into healthcare is consistent with SDG #3 and its associated objectives,
including the reduction of health inequalities and the enhancement of universal health coverage. It also
promotes equitable access to healthcare and addresses gender-specific health requirements, thereby
supporting other SDGs, such as SDG #5 (Gender Equality) and SDG #10 (Reduced Inequalities). Future research
should concentrate on the personalization of AI models, the mitigation of biases, and ethical AI implementation.
Therefore, healthcare professionals should be trained to effectively utilize AI tools to optimize their benefits and
improve healthcare outcomes. These endeavours will make a substantial contribution to the realization of SDG
#3 and the promotion of a global health system that is both sustainable and equitable
συγκρίνω, σύγκρισις (Phryn. Ecl. 243)
No full textThis article provides a philological and linguistic commentary on the words συγκρίνω and σύγκρισις discussed in the Atticist lexicon Phryn. Ecl. 243
The adoption of electric vehicles in public transport services: Space, path dependency and embeddedness: The Venice case
No full textThe adoption of electric vehicles in public transport will be essential for the transition of the world’s economies
toward more sustainable mobility. For this reason, we need an in-depth understanding of the variables that affect
the choice of a specific electric technology for public transport: successful implementation of electric transport is
highly sensitive to operational context and there could be different types of challenges regarding the electrification
of public transport in our cities. This study, by analysing the introduction process of fully electric buses
and hybrid vaporetti in the Venice Municipality, contributes to the existing debate on EV adoption. The study
explores why and how space can generate path dependency and embeddedness moving from an ICE public
transport mobility service toward an electrified mobility service and identifies the specific space attributes that
affect the adoption of electric vehicles for public transport. Findings help managers and policymakers in understanding
which type of technological innovation, why and how, can support sustainable mobility in each
place, while at the same time preserving existing service levels. Interestingly, our findings suggest that space
availability in cities can generate barriers of entry for fully electric vehicles, especially for most performing
vehicles with higher range
Intelligenza artificiale e strumenti digitali del mercato dell'arte. Considerazioni introduttive.
No full textStarting from the inseparable link between art, person, and creativity, the artistic
nature of works generated solely by AI is excluded. However, intelligent technologies
such as blockchain and NFTs provide new tools to enhance legal protection, ensuring
authenticity, traceability, and legitimate use. The text calls for a rethinking of traditional
legal categories, emphasizing the regulatory potential of digital systems in the artistic
and cultural sectors
Mobile Biometrics: Innovations, Challenges, and Emerging Trends
No full textMobile biometrics have steadily developed into one of the most crucial components of mobile security and have evolved dramatically in the last ten years. This paper aims at highlighting the major events that have taken place in this field, starting from the use of fingerprint sensors and ending up with the use of physiological (face and fingerprint) and behavioural biometrics (touch, voice, and gait). Further, it assesses the development in the hardware and the software, such as the advancement in the sensing technology, the application of artificial intelligence, and the development of multimodal systems resulting in enhanced security, convenience to the users and growth in the finance, healthcare and digital identity verification sectors, just to name a few. Furthermore, the paper identifies some of the challenges, such as privacy concerns, security risks, legal implications and technological limitations, that are associated with the use of biometrics. In addition, it also highlights the latest developments, such as the concept of decentralized biometric data storage and the use of blockchain, and suggests future research and development directions. Finally, the paper highlights the need for ongoing innovation, industry collaboration, and the establishment of ethical standards to ensure the responsible evolution of mobile biometrics
Electrochemically Modified Mn2P4O12 as an Emerging Catalyst for Oxygen Evolution Reaction
No full textWater splitting is a promising and sustainable technology that can address energy and environmental challenges by producing clean H2 without emissions of harmful pollutants. However, alkaline water oxidation is the most relevant process at the industrial level, and it faces obstacles due to unfavorable thermodynamics and high overpotential. The search for new environmentally friendly materials with high activity and low cost is a significant challenge. Herein, Mn2P4O12 microspheres are synthesized from MnO2 nanosheets via hydrothermal and chemical vapor deposition processes by regulating phosphorization as a new material in water-splitting catalysis. The spherical Mn2P4O12 microstructures act as pre-catalysts and undergo surface reconstruction during electrochemical activation, leading to the formation of beta-MnO2 as the true active phase. Once stabilized, they exhibit outstanding catalytic performance (250 and 510 mV at 10 and 100 mA cm-2 with Tafel slope as low as 40.80 mV dec-1) and stability for more than 32 h at different potentials. The in situ surface reconstruction highlighted by a multi-technique analysis ensures the catalyst's stability and results in efficient catalytic active sites for adsorbed oxygen, which enhances overall performance. This study provides insights into cyclotetraphosphate catalysis and offers a pathway for developing efficient and cost-effective materials for water electrolysis
Challenges and opportunities for digital twins in precision medicine from a complex systems perspective
No full textDigital twins (DTs) in precision medicine are increasingly viable, propelled by extensive data collection and advancements in artificial intelligence (AI), alongside traditional biomedical methodologies. We argue that including mechanistic simulations that produce behavior based on explicitly defined biological hypotheses and multiscale mechanisms is beneficial. It enables the exploration of diverse therapeutic strategies and supports dynamic clinical decision-making through insights from network science, quantitative biology, and digital medicine
Equity and Inclusion from a Historical Organizational Perspective: The Case of the FIAT Group
No full textThe objective of this chapter is to analyze FIAT S.p.A. (Fabbrica Italiana Automobili Torino), hereafter referred to as FIAT, with a particular focus on the company’s efforts related to equity and inclusion across various organizational levels. The analysis is grounded in a historical review of FIAT’s annual financial statements, which are publicly available through its online archive. These documents serve as the primary source for identifying and examining the company’s disclosed initiatives concerning equity and inclusion. FIAT has played a pivotal role in Italy’s economic development and has frequently been scrutinized for its social policies, particularly throughout the 20th century. Given this context, adopting a historical perspective on the company offers valuable insights that contribute to the academic discourse on diversity, equity, and inclusion (DEI). FIAT was selected for this study due to its significant influence both nationally and internationally. It is widely recognized as an iconic brand in the Italian and global automotive industries, with a longstanding legacy. To explore the evolution of equity and inclusion-related disclosures, the researchers structured the investigation around these two core themes. The findings are interpreted in conjunction with key historical events to provide a more comprehensive and contextualized understanding of FIAT’s approach. This research contributes to ongoing discussions on equity and inclusion by offering a historical lens through which to assess corporate commitment to these values. It also highlights the evolving role of large corporations within their communities and offers practical insights for managers by showcasing past efforts and identifying areas that still require attention in order to make informed, inclusive decisions
Intelligenza artificiale, attività e responsabilità dell'impresa di investimento
No full textL’avvento dell’intelligenza artificiale sta rivoluzionando qualunque settore, offrendo opportunità senza precedenti ma ponendo anche sfide complesse per il diritto. Il lavoro affronta il tema dell’utilizzo dell’intelligenza artificiale nell’esercizio dell’attività di impresa e, in particolare, nella prestazione dei servizi di investimento. In questo quadro, viene analizzata l’incidenza dell’uso dell’IA, con le sue note criticità, sulle regole che presidiano questa attività. L’obiettivo perseguito è portare ad emersione le criticità dell’intelligenza artificiale, le quali non possono che trovare una soluzione nella valorizzazione dell’organizzazione e della procedimentalizzazione dell’attività d’impresa. La stessa prospettiva viene utilizzata anche per affrontare il tema della responsabilità dell’impresa di investimento e della ricerca di un criterio di imputazione efficace, finalizzato alla tutela degli investitori dinanzi all’utilizzo di questa dirompente tecnologia