University of Udine
Archivio istituzionale della ricerca - Università degli Studi di UdineNot a member yet
91472 research outputs found
Sort by
A DIRICHLET PROBLEM ON PERTURBED HALF-SPACES OF H2×R FOR ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS
No full textThe goal of this article is to show the existence of a positive solution to a Dirichlet problem for the elliptic equation Δgu+f(u)=0 on Ω⊂H2×R, where Ω is a perturbation of the half-space H2×R0+. The corresponding solution is a perturbation of the solution to u′′(z)+f(u(z))=0, such that u(0)=0,u(z)→+1, as z→+∞
Attention-based neural network fusion for fouling prediction in Ethylene-Vinyl Acetate heat exchangers
No full textSemi-automatic Knowledge Representation and Reasoning on Vague Crime Concepts
No full textIn this paper we address the formal representation of vagueness in the legal domain, focusing on a “use case” in the Italian criminal law, namely the distinction of two crimes, “snatching” and “robbery”. After a few epistemological clarifications on the concept of vagueness and a short premise on the legal background, we tackle the problem by adopting Answer Set Programming as modelling language. First, we encode the “static” law parts and then we enhance the encoding by learning from sentences. This is a first step for a legal reasoning system capable of evolving by doing a fully automatic learning from sentences
Optimal bank capital: a trade – off corporate finance perspective
No full textIn this paper I model the effect of costs and benefits of having equity on the bank weighted average cost of capital (WACC). Adopting a trade – off corporate finance perspective, costs are related to the loss in present value of debt tax shields and liquidity premium, while benefits are related to the reduction of bank failure probability. The distress effect is incorporated into the bank WACC through the “Cost of leverage” model of Fernandez (2002, 2007), adjusted for the liquidity premium level and for different bank debt policies. Incorporating the cost and benefits on overall cost of bank funding and together with the use of Merton (1974) model, I am able to obtain numerically the optimal level of bank capital, and capital requirements as a whole, for several firm specific and country characteristics (asset volatility, risk-free rate, debt maturity, tax rate, liquidity premium level). A trade off – based framework consistent with traditional corporate finance, presenting results in line with previous literature on bank capital requirements, supports both stability and individual bank value maximization
Incunaboli in Friuli. L’asticella in movimento e l’elogio della sfiziosità
No full textDiscussione dello stato dell'incunabolistica nel 21 secolo, con riferimento da un lato all'esistenza di repertori informatici allo stato dell'arte (GW e ISTC), e dall'altro alla produzione di cataloghi "locali" che hanno la capacità di approfondire maggiormente la descrizione e l'analisi degli esemplari
ESG performance and Bank stability: The role of national culture and formal institutions
No full textWhy does ESG stabilize banks in some countries but not others? We argue that the inconsistent relationship between ESG performance and bank stability stems from a neglect of macro-level institutional contexts. While emerging research explores how national culture shapes ESG performance or how ESG performance affects liquidity and stability, no study integrates these perspectives to explain bank stability. We posit that national culture (as an informal institution) and formal institutions are critical, competing moderators that explain this heterogeneity. Using a global sample of 660 banks from 2002 to 2023, we find that ESG performance enhances bank stability, but predominantly in individualistic cultures. In contrast, high levels of uncertainty avoidance, power distance, and long-term orientation diminish this stabilizing effect. Strong formal institutions, however, positively moderate the ESG–stability relationship. Further analysis reveals that bank liquidity and funding costs act as key transmission channels. Our findings are robust to alternative model specifications and proxy measures. Sub-sample analyses indicate divergent patterns across the pre- and post-Paris Agreement periods and banks operating in developed vs developing economies. These results offer valuable implications for regulators and bank executives seeking to tailor ESG strategies to specific institutional and cultural environments
Edge-cloud artificial intelligence digital twin thermal modeling for rotating sintered core heat pipes
No full textThe sintered core heat pipe is widely used in precision thermal control and aerospace systems due to its high heat transfer performance. However, conventional computational fluid dynamics approaches for predicting its thermal behavior are computationally expensive and inflexible under varying operating conditions, while experimental methods are time-consuming and costly. To address the above challenges, in this study, a digital twin-based predictive thermal modeling framework is presented for sintered core heat pipes under rotational conditions, implemented within an edge-cloud artificial intelligence architecture. A fully parameterized physical model is developed on the Simulink platform using the SIMSCAPE Fluids module, enabling dynamic simulations of phase transitions and temperature responses. Validation against experimental data shows prediction errors within ±5 %. Simulation and experimental datasets are integrated to train three models-physics-informed neural network, Transformer, and light gradient boosting machine-evaluated under steady and transient thermal conditions. The physics-informed neural network achieves the lowest mean absolute error of 0.85 °C in high thermal inertia cases, while the Transformer attains the best steady-state accuracy with a root mean square error of 0.58 °C and inference latency of 150 ms after Turing Tensor R-Engine deployment. Docker-based deployment enables real-time edge inference, with the Transformer achieving an optimal balance of accuracy, memory footprint (36 MB), and response speed. The proposed framework offers a practical and scalable approach for accurate thermal prediction in advanced thermal management applications
Advancing Knowledge of Acute Cutaneous Graft-Versus-Host Disease Wound Care. A Case Study
No full textBACKGROUND: Acute cutaneous graft-versus-host disease (GvHD) is a frequent complication of patients undergoing
allogeneic hematopoietic stem cell transplantation (HSCT). It requires multidisciplinary systemic and topical management.
However, no well-established recommendations regarding wound management have been established. This case study
describes our experience caring for the wound of a patient with acute myeloid leukemia who developed a grade IV stage 4
acute cutaneous GvHD.
CASE: Mr T was a 64-year-old male diagnosed with acute myeloid leukemia with myelodysplasia-related changes. Seventyfive days after receiving an allogeneic human leukocyte antigen-HSCT, he developed wounds on his upper and lower limbs,
part of his chest, torso, and sacrum. Four lines of therapy (systemic steroids, tacrolimus together with extracorporeal
photopheresis, etanercept, and ruxolitinib) integrated with wound care using advanced dressings of soft silicone layers led
to the resolution of his wounds on day 109.
CONCLUSION: Our case study provides further evidence for the management of cutaneous GvHD. Further studies are
required to assess the effectiveness of silicone layer dressings for managing allogeneic HSCT recipients with cutaneous GvHD
on a large scale to provide definitive recommendations for their use.
KEY WORDS: Acute cutaneous graft-versus-host disease, Allogeneic hematopoietic stem cell transplantation, Nursing, Soft
silicone layer, Wound care
