125878 research outputs found
Sort by
The Digitization of Emotions: New Challenges for Organizations
No full textThis chapter explores the concept of organizational well-being as a multidimensional and dynamic construct, analyzing its theoretical evolution and main manifestations in contemporary work contexts. Through an interdisciplinary approach that integrates work psychology, organizational studies, and socio-critical perspectives, the text highlights how well-being cannot be reduced to an individual condition but must be interpreted as the emerging outcome of interactions between people, structures, cultures, and organizational practices. Particular attention is paid to the role of emotions, relationships, and meaning-making processes in the construction of sustainable work environments, highlighting the tensions between performance, control, and care. The chapter also discusses the managerial and cultural implications of well-being, emphasizing the need for organizational models capable of integrating efficiency, social responsibility, and quality of working life. In conclusion, organizational well-being is proposed as a strategic lever for the sustainability and resilience of organizations in complex and changing contexts
De alteridades y otras extrañezas en el inmigrante italiano del cuento costumbrista venezolano
No full textEl artículo pretende averiguar cómo se representa el emigrante italiano en el cuento venezolano en épocas receptoras de oleadas migratorias diferentes y discontinuas. A partir del primero y escasísimo –en términos numéricos– movimiento migratorio italiano de principios del siglo XIX al último y masivo de la posguerra, el emigrante italiano –ya convertido en inmigrante– se encuentra con el venezolano, produciendo a menudo una desconfianza que se reverbera también en la representación de cuentos breves creados por personalidades de la literatura venezolana (Daniel Mendoza, José Rafael Pocaterra, Rómulo Gallegos, etc.), cada una de las cuales relata a su manera la desconocida alteridad peninsular que, en muchas ocasiones, se transforma en estereotipos de extranjería y extrañeza extremas. En su constante afán de demostrar lo que se da por descontado en el nativo, en el cuento venezolano el inmigrante italiano es visto con desconfianza por miedo a que depaupere el país y por las actividades que desarrolla en los inicios de su vida laboral. El italiano es despreciable “buhonero”, es tramposo “musiú”, es desproporcionado en sus rasgos físicos, acompañando su miseria por la desgracia. En el doble exilio –de su patria nativa y de aquella de adopción– y en el camino circular que le toca vivir con una secuencia interminable de llegadas y retornos fallidos, el inmigrante italiano en el cuento venezolano vive un ininterrumpido viaje de desarraigos y arraigos que lo obligan a confinarse en una alteridad que lo hacen sentir extraño y extranjero en ambos lados del océano
Kernel estimates for a class of fractional Kolmogorov operators
No full textAssuming a weighted Nash type inequality for the generator −A of a Markov semigroup, we prove a weighted Nash type inequality for its fractional power and deduce non-uniform bounds on the transition kernel corresponding to the Markov semigroup generated by −A^α
Ukrainian Border Dialects in Belarusian-Russian Contact Areas: Characteristics and Trends
No full textThis book presents a contemporary, primarily synchronic, linguistic analysis of the essential dialectal features characterizing the dialects spoken in the Ukrainian-Belarusian-Russian border area. Utilizing sociolinguistic and unique focus-group data, Salvatore Del Gaudio analyzes specific local dialects at the crossroads of Ukraine, Belarus, and the Russian Federation, both locally and cross-regionally, to best highlight stable characteristics and ongoing tendencies over the span of a decade (2012–2022). The individuality of this area is also examined within a broader sociolinguistic context, which accounts for language attitudes, habits, and the identity of local speakers, as well as the linguistic landscape of the border area. The findings presented in this book are valuable for further dialectological research and related linguistic subfields. Moreover, they contribute to the establishment of a more accurate typology of (East) Slavic languages, offering valid insights into areal linguistics, as is often required in similar studies
Assessing Tourism Sustainability through Stochastic Multicriteria Acceptability Analysis: Insights from the Italian Regional Context
No full textPurpose – This study examines how stochastic multi-criteria acceptability analysis (SMAA) can improve the measurement of tourism sustainability across regions. It addresses the limits of deterministic indices by incorporating uncertainty in weighting schemes, providing insights into the robustness and stability of sustainability performance.
Design/methodology/approach – A quantitative approach integrates 47 economic, environmental, and social indicators within the SMAA framework. Data from national and European statistical sources were analysed through one million simulations of alternative weighting structures, generating rank acceptability indices, probability distributions, and correlation-based importance analysis.
Findings – Results show strong heterogeneity. Abruzzo and Veneto emerge as robust leaders, while Calabria, Sicily, and Trentino-South Tyrol display fragility. Environmental management and resource efficiency drive resilient performance, whereas reliance on short-term economic factors yields unstable outcomes. Sustainability is thus not mechanically tied
to economic development but depends on balancing multidimensional trade-offs.
Originality/Value – This study offers the first application of SMAA to tourism sustainability, showing how probabilistic methods capture ranking stability beyond deterministic hierarchies. It advances methodological debates on synthetic indicators and provides actionable insights for policymakers and managers, encouraging adaptive, inclusive, and ecologically grounded strategies for competitiveness and resilience
Innovative active carbon fibers-based multipurpose thermal desorption tubes for the analysis of volatile organic compounds
No full text: Active carbon fibers (ACFs) were evaluated as alternative sorbent materials for thermal desorption (TD) tubes in the analysis of volatile organic compounds (VOCs). Five commercially available ACFs, in both felt and fabric formats, were compared with conventional multi-bed tubes (MBTs) based on granular carbon adsorbents, with a focus on sampling from moisture-rich matrices, such as exhaust gas and exhaled breath. Sampling was conducted under both dry and saturated (100 % relative humidity) conditions using standard gas mixtures containing 39 VOCs from EPA TO-14 and 33 ozone precursors from the Photochemical Assessment Monitoring Station (PAMS) list. TD-gas chromatography-mass spectrometry (TD-GC-MS) was employed for compound analysis, with method parameters adapted for each sorbent type. ACFs demonstrated superior adsorption performances than MBTs, particularly for very volatile compounds (VVOCs) such as Freon-12, chloromethane, vinyl chloride, bromomethane, chloroethane, which are typically poorly retained by conventional TD tubes. ACF-F-20 achieved recovery rates above 80 % for 49 compounds and over 90 % for 37 compounds, even under humid conditions. In storage experiments, while most analytes remained stable for at least 7 days at 4 °C, highly volatile compounds such as chloromethane and bromomethane showed lower recoveries (34.2 % and 45.1 %, respectively). Application of exhaled breath analysis in one exemplary sample from healthy volunteer identified 19 VOCs, with 10 exhibiting significantly higher concentrations when sampled using ACF-T-20b compared to conventional MBTs. Notably, ACF-T-20b enabled enhanced capture of very volatile species, including methanol, propane, methylglyoxal, and hydroxylamine. These results demonstrate the potential of ACFs to improve VVOCs and VOCs sampling in high-humidity environments, broaden the detectable compound range, and reduce analytical cost and complexity in environmental and biomedical applications
On the use of chemical bonding descriptors in machine learning
No full textThis review explores recent advances in machine learning in chemistry, emphasizing mechanistic understanding, performance optimization, and emerging design strategies. Key developments include novel synthesis routes, computational screening, hybrid experimental–theoretical approaches, and in-situ characterization. The review highlights how these innovations improve efficiency, selectivity, and scalability while uncovering fundamental structure-activity relationships. Special attention is given to integrating predictive modeling and high-throughput experimentation, which accelerates discovery cycles and enables rational design. Comparative discussions of different methodologies reveal synergies between traditional approaches and data-driven tools. Despite remarkable progress, translating laboratory results into practical applications remains a central challenge. The review concludes by outlining open questions, methodological gaps, and future research directions aimed at developing robust, cost-effective, and environmentally sustainable solutions
Signatures of Edge States in Antiferromagnetic Van der Waals Josephson Junctions
No full textThe combination of superconductivity and magnetic textures leads to unconventional superconducting phenomena, including new correlated and topological phases. Van der Waals (vdW) materials emerge as a versatile platform for exploring the interplay between these two competing orders. Here, we report on individual (Formula presented.) / (Formula presented.) / (Formula presented.) Josephson junctions behaving as superconducting quantum interference devices (SQUIDs), which we attribute to the interplay between the superconductivity of (Formula presented.) and the spin texture of the vdW antiferromagnetic insulator (Formula presented.). This behavior persists for in-plane magnetic fields of at least 6 T and is the result of interference between separated transport channels. Microscopic modeling of the antiferromagnet insulator/superconductor (AFI/S) interface reveals the formation of localized states at the edges of the junction that can lead to channels that dominate transport. Our findings highlight AFI/S heterostructures as a platform for engineering novel superconducting phenomena and establish a new route for lithography-free SQUIDs that operate in high magnetic fields
Measuring equity in environmental care: Methodology and an application to traffic-related air pollution
No full textEnvironmental policies generate benefits that are unevenly distributed across individuals, raising concerns about the equity of environmental policy effort. This paper proposes a normative and methodological framework to assess equity in environmental care, defined as the benefits individuals receive from policy interventions intended to improve environmental quality. Building on a Rawlsian fairness principle, we adapt direct and indirect standardization techniques from the health economics literature to evaluate whether
environmental care is allocated proportionally to environmental needs. We apply the framework to traffic-related air pollution policies implemented by Italian municipalities between 2012 and 2021. Our results show that overall disparities in environmental care have declined over time, largely due to a reduction in horizontal inequity. Nonetheless, significant socioeconomic disparities persist: individuals residing in lower-income municipalities receive disproportionately less environmental care relative to their environmental needs
