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Constructing a clinical knowledge graph from electronic health records for enhanced decision-making and disease diagnosis
No full textThe increasing complexity of clinical data presents both challenges and opportunities for modern healthcare. This study proposes a robust framework for building a Clinical Knowledge Graph (KG) by leveraging unstruc tured Electronic Health Records (EHRs) and clinical notes. Using state-of-the-art natural language processing tools such as MetaMap and the Unified Medical Language System (UMLS), the proposed system structures het erogeneous medical data into a unified format. By analyzing demographic, symptomatic, and laboratory data, this framework enables enhanced decision-making and insights into disease correlations. Demonstrated using the MIMIC-III database, the system achieves high granularity, providing actionable intelligence for personalized recommendations and supporting predictive diagnostic models
Homebirth in Italy: An Alternative to Medicalisation And Vulnerability to Violence in Healthcare Facilities
No full textThe intersection of digital practices and environmental orientations: exploring digital-environmental habitus
No full textPurpose – This study aims to examine how environmental dispositions and digital expertise influence
sustainable digital behaviors. Drawing on Bourdieu’s theory of habitus, we test the notion of a “digitalenvironmental
habitus” to explain how ecological values transfer into the digital domain. The research
addresses gaps in understanding how pro-environmental orientations shape digital practices in highconnectivity
contexts. Focusing on Denmark, where green and digital agendas are strongly integrated, the
study evaluates whether digital awareness mediates these behaviors and whether digital skills amplify or
inhibit eco-centric and benefit-oriented digital engagement.
Design/methodology/approach – The study relies on data from a stratified survey of 532 Information and
Communication Technologies (ICT) users in Denmark. We construct four indices – environmental
dispositions, digital expertise, digital-environmental awareness and digital-environmental behaviors – using
factor analysis. Hypotheses are tested through path structural modeling and hierarchical regressions.
Mediation and interaction effects are analyzed using bootstrapping and interaction terms to assess how digital
expertise and awareness condition behavioral outcomes. The model integrates Bourdieusian habitus with
digital and environmental competencies, offering an operational framework to investigate how embodied
environmental values influence sustainable digital action in digitally mature societies.
Findings – Both eco-centric and benefit-oriented environmental dispositions positively predict digitalenvironmental
awareness. However, awareness mediates only benefit-oriented behaviors. Digital expertise
enhances awareness but does not independently drive eco-centric behaviors; only its interaction with awareness
predicts such actions. By contrast, benefit-oriented digital behaviors are directly associated with digital expertise.
Gender, age and household size shape behavioral patterns. These findings suggest that digital competence is a
necessary but insufficient condition for sustainable digital engagement. Instead, digital expertise functions
conditionally, depending on users’ environmental dispositions and awareness levels. The study challenges technooptimism
by emphasizing the importance of aligning skills with internalized ecological values.
Practical implications – The findings advocate for policies that integrate ethical digital education to
enhance eco-friendly ICT behaviors, particularly in advanced digital societies like Denmark. By raising
awareness of digital environmental impacts, policymakers can promote sustainable practices that mitigate
risks like carbon emissions while leveraging technology for human flourishing. Strategies should emphasize
benefits of ethical digital use, encouraging adoption among diverse groups, such as older users and females,
through targeted interventions. Aligning digital and environmental strategies, as Denmark does, can guide global efforts to harness ICTs ethically, ensuring technology supports sustainability and equitable access while minimizing environmental harm.
Social implications –
This study highlights ICTs’ potential to foster ethical environmental behaviors, promoting societal sustainability in digital societies. In Denmark, where digital access is near-universal, integrating environmental awareness into digital practices can reduce ecological risks, enhancing collective responsibility. Larger households adopting eco-centric behaviors suggest social policies can support ethical technology use, particularly in supportive welfare contexts. The findings advocate for inclusive digital education to empower diverse groups, addressing ethical disparities in technology access and usage. By mitigating digital environmental impacts, this approach contributes to global efforts for ethical ICT use, fostering human flourishing amidst environmental challenges.
Originality/value –
This study offers the first empirical test of the digital-environmental habitus in a high- penetration digital context. It advances theoretical integration by operationalizing how environmental and digital capitals intersect in shaping pro-environmental behaviors. Unlike models based solely on rational choice or intention (e.g. TPB, VBN), the study highlights how sustainable digital practices are structured by habitus, field conditions and capital conversion. It provides a replicable analytical model for cross-national comparison, especially relevant for policymakers aiming to link digital literacy with environmental responsibility. The study also contributes methodologically by distinguishing eco-centric from benefit-driven behaviors, capturing the motivational plurality of digital environmental actio
Ambipolar to anti-ambipolar light induced transition in WSe 2 -based FETs
No full textThe growing need for efficient processing of large amounts of data in compact electronic systems is driving interest in investigating alternative device architectures. 2D material-based devices exhibiting anti-ambipolar behaviour represent a promising option to address this request. In this work, we investigate a WSe2-based field-effect transistor that shows ambipolar conduction with dominant n-type behaviour in the dark. Under illumination, using either diffuse white LED light or a collimated red laser, the device exhibits a transition to anti-ambipolar transport, with a prominent current peak in a narrow driving voltage range, which is desirable for fast switching logic applications. This response allows for the identification, under controlled illumination conditions, of three distinct current levels in three different bias regions, which are suitable for implementing a three-state logic device. The peak amplitude varies linearly with light intensity, and the corresponding photodetection performance results in a significant responsivity of 0.13 A/W under red laser illumination. The light-induced transition from ambipolar to anti-ambipolar behaviour is qualitatively described through
energy band diagrams, with the photocurrent peak corresponding to the n–p transition point observed in the dark
Herding behaviour in equity crowdfunding and P2P lending markets: A systematic meta-analysis
No full textA Recommendation System Based on Fuzzy Signature
No full textIn recent years, recommendation systems have become essential tools for managing the overwhelming volume of information users face daily. In the context of Technology Enhanced Learning (TEL), for instance, where learners can be faced with a large variety of resources, their ability to deliver accurate suggestions is crucial for enhancing user experience, learning engagement, motivations, and overall learning outcomes. This paper introduces a novel recommendation system based on Fuzzy Signatures. A Fuzzy Signature is a fuzzy relation representing user interests. A similarity metric, named user kindredness, is proposed to determine like-minded individuals who probably share same interests. The kindredness is used to establish user neighborhoods from which the recommendations are generated. For ease of comparison, the performance of the method is evaluated on the Movielens dataset and compared against state-of-the-art approaches, including collaborative filtering, probabilistic methods, and fuzzy genetic algorithms, demonstrating good improvements in terms of accuracy and error rates
Ferroptosis and Autophagy-Dependent Cell Death in Oncology Medicinal Chemistry: Call for Papers
No full textBridging Theory and Practice in Translation Pedagogy: Doing to Learn
No full textRooted in years of teaching and reflection on how translators learn, this book develops the eDOcation approach, which connects theory with practice and shows how learning grows through active participation and thoughtful guidance. Grounded in experience and learner awareness, it treats translation as a process of discovery, where understanding emerges through doing. Examples from audiovisual, song, literary, and technical translation illustrate how classroom practice enhances linguistic competence, professional confidence, intellectual growth, and creative initiative.
Addressing translator trainers, language teachers, and researchers, the book offers a flexible, research-informed pedagogy adaptable to diverse languages and educational contexts, with particular insight from English–Italian settings. eDOcation provides a clear and balanced model for integrating theory and practice in translator education. It supports educators who wish to foster independence, curiosity, responsibility, and sustained engagement in their students and contributes fresh insight to the evolving field of translation pedagogy
A Neural Network Model Approach to Longevity Risk Management
No full textInsurance activities intrinsically deal with the management of risks. According to the mark-to-model approach to the assessment of the insurer’s debt position, the models used to forecast the probability structures involved in the computation of the fair value of the liabilities are central. We use artificial neural networks to the purpose of forecasting in this context. We focus on a portfolio of endowment insurance policies and on the ex ante estimation of the related mathematical reserve. We consider the Lee-Carter model for the forecasting of the random number of the policies in-force at each future policy anniversary, with either linear time-series model or autoregressive neural network models (ARX-NN models)for the time index. We find out that ARX-NN models allow to reduce the bias that linear time series models may imply. In particular, narrower prediction intervals around central forecasts translates into a much milder upward shift of the portfolio reserve in the case where systematic reduced mortality than expected should occur along the insurance contracts’ duration
Exploring the microfoundations of digital transformation maturity: a focus on Italian healthcare organizations
No full textPurpose – This study explores the journey of healthcare organizations towards digital transformation maturity (DTM), focusing on the development and implementation of digital dynamic capabilities. By investigating the microfoundations of these capabilities, this study aims to provide a deeper understanding of the mechanisms.
Design/methodology/approach – Research reported in this paper employs an abductive approach. Empirically, a qualitative methodology based on a multiple-case study analysis has been conducted on six Italian healthcare organizations through semi-structured interviews and archival data.
Findings – The findings reveal the microfoundations across digital sensing, seizing and reconfiguring capabilities in healthcare to achieve DTM. The study also identifies three main stages of DTM, demonstrating how different combinations of these capabilities influence the progression towards digital maturity, thereby attaining different innovation outcomes.
Research limitations/implications – This study offers implications for healthcare managers who want to advance with DT and strategically manage the innovation essential to fully enact it. The research is limited by its focus on Italian healthcare organizations, potentially affecting the generalizability of the findings. Future studies could expand the geographical scope and employ mixed-methods approaches to validate and extend the results achieved in this study.
Originality/value – The study contributes to the nascent literature on DTM by providing empirical evidence of the microfoundations that enable digital dynamic capabilities, offering practical insights for healthcare managers and policymakers to foster an environment that supports a strategic approach to digital innovation