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Neumann problems for nonlinear elliptic equations with lower order terms
No full textIn the present paper we prove existence results for solutions to nonlinear
elliptic Neumann problems whose prototype is
{
λ|u|p−2u − ∆pu − div(c(x)|u|p−2u) + b(x)|∇u|p−2∇u = f in Ω,
(|∇u|p−2∇u + c(x)|u|p−2u) · n = 0 on ∂Ω ,
where Ω is a bounded domain of RN , N ≥ 2, with Lipschitz boundary, 1 < p < N ,
n is the outer unit normal to ∂Ω, λ > 0, the datum f belongs to the dual space of
W 1,p(Ω) or to Lebesgue space L1(Ω). Finally the coefficients b, c belong to appropriate
Lebesgue spaces or Lorentz spaces.
Existence results for weak solutions or renormalized solutions are proved under small-
ness assumptions on the coefficients b and c
When knowledge is not enough: understanding the barriers to sustainable food choices in Italy
No full textThe actual food system negatively impacts human health and the environment. To promote sustainable food consumption, a cross-sectional survey of 815 Italian adults, representative for age, gender, and geographical areas, explored consumer perceptions and purchasing barriers. Correspondence and cluster analysis were applied. Most respondents identified sustainable foods as having low environmental impact (88.6%), being healthy (81.3%), and locally sourced (81.2%). However, high prices and unclear labelling emerged as key obstacles. The cluster analysis identified four consumer groups. Notably, even the group aware of sustainability issues (Aware consumers with barriers – Cluster 2) still struggled to make sustainable choices due to persistent obstacles. Conversely, a small segment (Ditched consumers – Cluster 1), despite high socio-economic and educational status, showed no interest in sustainability. These results highlight the complex nature of barriers to sustainable consumption, shaped by diverse sociodemographic factors. Tailored strategies are needed to overcome these obstacles and support more sustainable consumer behavior
A spatially-continuous neural network temperature model for weather derivatives evaluation
No full text
Towards an Aporia? Empirical evidence on the relationship between consumer behavior and metaverse-based virtual stores.
No full textRecently, Metaverse technology has caught the attention of many businesses and consumers. However, there is no research on this topic in the food sector. Thus, it is crucial to understand the key drivers influencing consumers’ intention to purchase food through Metaverse technology. The present research leverages a Structural Equation Modelling (SEM) to analyse 710 Italian consumers. The results highlighted perceived technological and regulatory uncertainty and the feeling of cyber risk as significant obstacles to consumers’ intention to purchase food using Metaverse platforms. Conversely, several factors emerged as important facilitators, including performance expectancy, effort expectancy, perceived herd behaviour, hedonic motivation and consumer innovativeness. The study shows practical implications for businesses, practitioners and Metaverse developers in designing effective marketing strategies to promote the adoption of Metaverse commerce in the food sector. In fact, this research proposes a model that can be applied by stakeholders. Finally, this paper offers both actionable recommendations and theoretical insights
The evaluation of football players: an in-depth look at the Expected Goal metric
No full textThe global sports industry is valued at 629.81 billion by 2028, with the betting sector alone generating €1.41 trillion in turnover in 2022, €730 billion of which was from football. Football attracts millions of fans worldwide, creating lucrative opportunities for advertising and marketing. In Europe, the Big Five leagues represent most of the European professional sports market. In this context, it is important to be able to evaluate football clubs and players. The value of a football player depends mainly on his performance, which depends on different factors, such as personal characteristics, attacking and defending ability on the pitch, mentality, and much more. This study focuses on attacking performance, specifically Expected Goals (xG), a critical metric for financial and strategic decisions in football, since it helps clubs, investors, and bookmakers to evaluate more accurately team performance and identify value bets. In addition, the xG metric can also significantly influence a player’s market value and transfer decisions. This study has two main objectives: first, we want to identify the current xG model through data from Understat, one of the primary data providers for shot characteristics; then, we want to propose an improved approach for more accurate xG predictions
Geopolymer-based composite and hybrid materials: The synergistic interaction between components
No full textIn recent years, there has been a growing drive toward developing innovative materials capable of meeting the
demands of sustainability, durability, and high performance across multiple application sectors. In this context,
geopolymer-based composites and hybrid materials have emerged as highly promising candidates, leveraging the
synergistic interactions between inorganic geopolymer matrices and reinforcing phases of diverse nature,
ranging from fibers and nanoparticles to organic polymers and industrial waste derivatives. These combinations
enable the fine-tuning of mechanical, thermal, and chemical properties, creating materials tailored for specific
functional and structural roles. Recent research on geopolymer-based composites has shown that the integration
of reinforcements not only improves crack resistance and toughness but also expands the range of applications
beyond traditional construction. Moreover, the development of true hybrid systems, especially through coreticulation
or cross-linking with organic polymers, has paved the way for materials with enhanced interfacial
bonding, multifunctionality, and superior performance. Despite significant progress in the field, a comprehensive,
comparative overview that critically examines the relationships between synthesis strategies, interfacial
chemistry, structure-property correlations, and application potentials of these materials remains lacking. This
review aims to fill that gap by offering an in-depth exploration of geopolymer-based composites and hybrids,
focusing particularly on the chemistry of interactions at the organic–inorganic interface, the mechanisms underpinning
performance enhancement, and the emerging uses of these systems in advanced domains such as
catalysis, pollutant adsorption, energy storage, and fire-resistant insulation. The paper highlights the versatility
of geopolymers as a sustainable platform for next-generation functional materials, while also identifying current
limitations and outlining key directions for future research and industrial scalability
Multi-model ensemble CMIP6 for prediction of climate changes: evidence from Asia
No full textClimate change comprehension depends heavily on temperature and precipitation patterns, which vary significantly across time and place. This study explores projected changes in climate variables, emphasizing variations in maximum temperatures and fluctuations in minimum temperatures. Furthermore, it analyzes modifications in precipitation patterns to offer a comprehensive perspective on climate dynamics. The dataset employed in this study is obtained from five atmosphere–ocean general circulation models (AOGCMs) participating in CMIP6. Future conditions are evaluated through an analysis of three distinct pathways, encompassing the SSP1-2.6, which characterizes a future with minimal greenhouse gas outputs; the SSP5-8.5, indicative of a trajectory marked by elevated emission levels; and the SSP2-4.5, positioned as an intermediate scenario with emission levels lying between the aforementioned extremes.The study examines the timeframe of 2015–2039, considered the near future, as well as the interval from 2040 to 2064, referred to as the mid-future, with both periods being contrasted against the reference timeframe spanning 1965–2014, specifically within the central region of the Mashhad plain. The results indicate that both future periods in the central part of the Mashhad Plain will experience an increase in temperature, with maximums of up to 2.6 °C and minimums of up to 1.8 °C. The largest increase is expected in the fall and winter, particularly for minimum temperatures. Additionally, precipitation is expected to increase slightly (0.9–1.8 mm) in the near future (2015–2039) compared to the past