1,721,076 research outputs found
THE ROLE OF MORPHO-STRUCTURAL SETTINGS ON ROCKY COASTS INSTABILITY
Full text linkRocky coasts are one of the environments where various processes act on landscape modelling and evolution across different spatial and temporal scales. Over the past few decades, they have garnered growing attention from the scientific community, especially with the ongoing Global Changes that exacerbate the evolution of phenomena and pose risks to both the population and tourism. The study of rocky coasts is often challenging due to inaccessibility of the sites, leading to a reliance on remote sensing methods. In the present day, remote sensing techniques have an important role for natural risk assessment, but there is a tendency to overlook the importance of fundamental field data for precise interpretation and evaluation of active surface processes. This thesis underscores the role of the geomorphological characterizations and in particular the understanding of morpho-structural evolution through the combination of field surveys and remote sensing analyses which are essential for obtaining accurate insights into interactions with vulnerable elements within an area. To achieve this, three study areas composed by rocky coasts with different evolutionary scenarios were selected and investigated: Mt. Conero and Mt. San Bartolo in the western coasts of the Adriatic Sea (Italy) and La Herradura section in the coastal sector of the Granada province (Spain). The methodology of this study has allowed for a comprehensive understanding of sea slope evolution and how to mitigate the associated natural risks
Distributionally robust multiobjective optimization with application to risk measure theory
No full textWe introduce the concept of a distributionally robust multiobjective optimization problem, which offers a comprehensive framework for addressing issues related to the statistical estimation of unknown probabilities. By employing scalarization methods, we establish optimality conditions, followed by the exploration of applications in financial portfolio management and risk assessment
Goal programming for financial portfolio management: a state-of-the-art review
No full textOver the last decades, the Goal Programming (GP) model has been applied to financial portfolio management and/or selection problem in decision-making contexts where several conflicting and incommensurable objectives are simultaneously aggregated. The aim of this paper is to identify the research trends and publication outlets for the application of GP model to portfolio management. We point out an increasing interest and affirmation of more sophisticated models. We present a characterization of the existing GP variants and provide historical data and statistical analysis
Land-surface quantitative analysis to investigate the spatial distribution of gravitational landforms along rocky coasts
Full text linkThe increasing availability of high-quality digital elevation models (DEMs) has been associated with a growing interest in developing quantitative analyses aimed at taking advantage of these detailed, updated, and promising digital datasets. Land-surface quantitative (LSQ) analysis is valuable for describing the land-surface topography and performing measures of the signature of specific geomorphic processes, taking into account site-specific geological contexts and morphoclimatic settings, proving to be particularly effective in transitional environments, such as rocky coasts. This paper presents the results of research aimed at investigating the spatial distribution of gravitational landforms along rocky coasts, by means of LSQ analysis based on a DEM with a ground resolution of 2 m, derived from airborne LiDAR (light detection and ranging) surveys. The study area is at Mt. San Bartolo (Northern Marche, Italy) and characterized by a sea cliff diffusely affected by gravitational phenomena of different sizes and types. Geomorphological and geological field data, interpretations of remotely sensed datasets derived from ad hoc unmanned aerial vehicle (UAV) flights, and DEM-derived hillshades were also adapted to support LSQ analysis. In detail, four morphometric variables (slope, roughness, terrain ruggedness index, and elevation standard deviation) were computed and the outputs evaluated based on visual–spatial inspections of derived raster datasets, descriptive statistics, and joint comparison. Results reveal the best performing variables and how combined interpretations can support the identification and mapping of zones characterized by varying spatial distribution of gravitational landforms of different types. The findings achieved along the Mt. San Bartolo rocky coast confirm that an approach based on land-surface quantitative analysis can act as a proxy to efficiently investigate gravitational slope processes in coastal areas, especially those that are difficult to reach with traditional field surveys
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Multiple Criteria Decision Making and Goal Programming for Optimal Venture Capital Investments and Portfolio Management
No full textThe venture capital market plays a significant role in providing capital to a new feasible business idea (new product, service, or retail concept) and businesses of different type. This chapter focuses on the way venture capitalists make their investment decision, a process involving several conflicting and imprecise criteria. We propose three different models to solve these complex decision making contexts, namely a deterministic goal programming model with satisfaction function, a scenario-based stochastic goal programming model with satisfaction function, and a fuzzy goal programming formulation. The three models have been applied to three concrete examples using real data obtained from some Italian venture capital funds. It turns out that these models are easy and simple to be implemented and analyzed, and represent an implementable approach for both scientists and practitioners
Media planning and preferences: a fuzzy goal programming model
No full textGoal programming (GP) and its variants are well-known aggregating
methodologies for solving multi-objective decision aid processes and they have
been widely applied to marketing problems in the last decades. In this paper,
we present a fuzzy GP model with integer variables for media planning. The
proposed model is applied to a real case study concerning a marketing/media
campaign for a mature product in Italy
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