University of Salerno

Shaping circular disclosure capital? Intellectual capital and DEI disclosure maturity in SMEs

Purpose This study aims to examine how the human, structural and relational dimensions of Circular Intellectual Capital (CIC) contribute to the development of Circular Disclosure Capital (CDC), conceptualized as a domain-specific organizational disclosure capability enabling firm...

Bivariate variable ranking for censored time‐to‐event data via Copula link based additive models

Abstract In this article, we present a variable ranking approach based on a novel measure for selecting important variables in bivariate Copula Link‐Based Additive Models [30]. The proposal allows for identifying two sets of relevant covariates for the two time‐to‐events without...

Radiomics and dosiomics in radionecrosis prediction in brain metastasis treated with Stereotactic Radiation Therapy: a machine learning approach

Introduction Stereotactic Radiotherapy plays a main role in Brain Metastases treatment. Radiomics and Dosiomics, coupled with Machine Learning approaches are emerging in radiation oncology as support in clinical decision-making workflow. In this study a machine learning approach...

From FAT to value: building competence through fairness, accountability and transparency for sustainable business

Purpose The aim of this paper is to investigate how core characteristics of artificial intelligence (AI), including fairness, accountability and transparency (FAT), contribute to sustainable business value creation. Design/methodology/approach The data were collected through a su...

Fintech on campus: mobile money and student entrepreneurship in Ghana

Abstract Fintech, particularly mobile money technologies, has revolutionised access to financial services in Sub-Saharan Africa; it goes beyond person-to-person money transfers and has emerged as a critical infrastructure for micro and small firms. While considerable quantitative...

Real-to-Sim Calibration and Cross-Domain Trajectory Validation of a Low-Cost Multi-Sensor UGV Digital Twin

Bridging the real-to-sim gap in low-cost autonomous mobile robotics requires careful cross-domain alignment of kinematic geometry, actuator behavior, and sensor characteristics. This paper presents a systematic Real-to-Sim parameter calibration and multi-stage experimental valida...

Clonal Dynamics After Allogeneic Hematopoietic Stem Cell Transplantation from Related Donors: A Case Series

Allogeneic hematopoietic stem cell transplantation (HSCT) serves as a critical model for investigating clonal dynamics, as hematopoietic reconstitution occurs amidst significant proliferative stress and immune-mediated pressures. This study utilized longitudinal next-generation s...

Early Diagnosis of Iatrogenic Post-Traumatic Trigeminal Neuropathies: From Clinical Gaps to Medico-Legal Implications—A Comprehensive Structured Narrative Review

Background: Iatrogenic injuries of the inferior alveolar nerve (IAN) and lingual nerve (LN) are among the most relevant complications in oral surgery. Although most cases show spontaneous recovery, a significant proportion of patients develop persistent post-traumatic trigeminal...

Integrated Safety and Security Risk Analysis of Lane Keeping Assistance Using TARA

Lane Keeping Assistance (LKA) systems play a critical role in enhancing vehicular safety and driving comfort by maintaining lane alignment and mitigating risks associated with driver distraction or drowsiness. These systems rely on sensor data to execute corrective steering or br...

Interfacial Properties of MoS2 Thin Films Grown on Functional Substrates

Abstract Interface chemistry and defect formation in MoS2 thin films grown on single crystal substrates critically determine the electronic structure of MoS2 and thus can strongly modify material functionality relevant for many applications, including electronics, optoelectronics...

Atomistic Origin of Structural, Vibrational, and Electronic Fingerprints in Iminopyridine Iron(II) Dichloride Complexes

Abstract Density functional theory (DFT) investigations were performed on a diverse library of iron(II) dichloride complexes bearing iminopyridine (ImPy) ligands to establish robust structure–property relationships governing their electronic and vibrational behavior. The pronounc...

Energy transition as the core of climate discourse: Mapping social representations in digital public debate

Climate change governance increasingly unfolds through energy transitions, yet the symbolic conditions under which these transitions are publicly interpreted remain insufficiently mapped. This study examines the representation of climate change in digital discourse during 2025, f...

Physics-Informed and Data-Driven Forecasting of Chaotic Dynamics Across Lorenz and Rössler Systems

Reliable finite-horizon forecasting of chaotic dynamics is challenging because small approximation errors grow rapidly during recursive prediction. This study presents a controlled comparison of data-driven and physics-regularized forecasting methods for the Lorenz and Rössler sy...

Immersive Systems for Archaeological Parks and Urban-Scale Heritage: A Systematic Review of Augmented and Virtual Reality Across Ancient Cities, Historic Districts, and Participatory Urban Planning

Immersive technologies support heritage interpretation and management, yet research remains divided between cultural and archaeological heritage and urban planning. This systematic review, reported according to PRISMA 2020, aimed to examine the design, application, and evaluation...

Comparison of Cold and Warm Extremes in the Mediterranean Based on E‐OBS and ERA5‐Land Data Sets

Abstract Accurate characterization of temperature extremes is essential for climate risk assessment, particularly in regions highly sensitive to climate change like the Mediterranean Basin. This study compares near‐surface temperatures from E‐OBS and ERA5‐Land, focusing on warm (...

Amino-Functionalized DWCNTs Tailor Curing Kinetics and Multifunctional Performance of Epoxy Nanocomposites

The influence of amino-functionalized double-walled carbon nanotubes (DWCNTNH2) on the curing behavior and multifunctional properties of an epoxy resin was systematically investigated. Isothermal FTIR analysis, interpreted using Kamal’s autocatalytic model and model-free isoconve...

A Multi-Study Evaluation into Generative Artificial Intelligence for Test-Driven Development

Test-Driven Development (TDD) is an agile practice that alternates writing failing (unit) tests (Red phase), implementing production code that makes failing tests pass (Green phase), and improving the code through the Refactor phase. TDD promises better external and internal qual...

From prompting to professional judgment: Generative AI, metalinguistic competence, and human-centered continuous improvement in advertising agencies

Purpose This study examines how generative artificial intelligence reshapes creative work in advertising agencies and considers its implications for professional capability development and continuous improvement. Attention centers on everyday routines, redistribution of expertise...

Polyphenol-Rich Opuntia ficus-indica Cladodes: An Integrated Metabolomic, In Vivo and In Silico Study Supporting Their Hypolipidemic and Hepatoprotective Effects

Background: Hyperlipidemia is a major risk factor for cardiometabolic disorders, including non-alcoholic fatty liver disease (NAFLD), and is closely associated with oxidative stress. Opuntia ficus-indica (OFI) cladodes are recognized as a rich source of bioactive phytochemicals;...

Dream experiences and psychological distress: a network analysis of pathological worry, depression, anxiety, and stress

Abstract Dreaming has long been implicated in emotional processing, yet the complex relationships between specific dream experiences and different dimensions of psychological distress remain insufficiently understood. This study explored the network relationships between dream-re...