170,004 research outputs found
La solidarietà fondamentale. Liber amicorum Giuseppe Acocella
No full text[Italiano]:Più che una ricostruzione delle coordinate del suo percorso di ricerca, la Solidarietà Fondamentale si propone come la testimonianza di una comunità di studiosi che si è stretta intorno a Giuseppe Acocella, riconoscendo l’autorevolezza del suo magistero. I suoi interessi, così diversificati, mal si sarebbero prestati ad una ricostruzione esegetica: piuttosto, si è preferito adire il “vivo” delle sue riflessioni, nella misura in cui ha saputo ispirare la ricerca di ciascuno. Filosofo morale, filosofo del diritto, filosofo della politica, formatosi a partire dall’insegnamento di Capograssi, ha preferito orientare la sua riflessione alla Lebenswelt, più che a quella dimensione formale che avrebbe consentito di inquadrarlo in un paradigma univoco. A partire dalle sensibilità individuali, si è voluto testimoniare della vicinanza e del significato che l’insegnamento di Giuseppe Acocella ha rivestito nella ricerca di ciascuno: i temi affrontati, che interrogano la vita civile nei suoi aspetti formali e materiali, rispecchiano la tensione poliedrica che solo un pensatore magistrale può ispirare.
/[English]:More than a reconstruction of the coordinates of his research, the purpose of this collection is the testimony of a community that approached Giuseppe Acocella, recognizing the prestige of his magisterium. His interests, so diversified, would not have lent themselves to an exegetical reconstruction: rather, we have drawn from the"alive" of his reflections, to the extent that he was able to inspire everyone's research. Moral philosopher, philosopher of the law, philosopher of politics, he was formed starting from the teaching of Capograssi and preferred to direct his reflection on the Lebenswelt, rather than on that formal dimension that would have allowed us a dogmatic reading. Starting from individual inclinations, we wanted to testify to the closeness and significance that Giuseppe Acocella's teaching has played in the search for each one: the topics addressed, which question civil life in its formal and material aspects, reflect the multifaceted tension that only a masterful thinker can inspire
Radiomics applications in gastrointestinal oncology: the colorectal cancer model
No full textColorectal cancer (CRC) represents the third most common diagnosis of cancer in the worldwide, accounting for around 10% of all new cancer cases globally. Prognosis of patients affected by CRC is strongly dependent on the stage at diagnosis. Besides epidemiologic data, CRC is a complex and heterogeneous disease with different molecular, genetic and epi-genetic sub-types that led to different scenario in the disease course. As a consequence of heterogeneity, tissue sampling biopsy at diagnosis cannot be considered fully representative of tumor behavior and molecular profile. In this context a complete risk stratification to set the best personalized treatment is very important to reduce the risk of recurrence and improve survival. Medical imaging plays a pivotal role in all aspects of personalized medicine: prediction, diagnosis and especially treatment planning, in the choice of the best treatment for the specific patient at the right time. Among the most promising imaging techniques with the potential to improve cancer treatment and outcome, one cannot but include Radiomics. Radiomics is a methodology of advanced quantitative image analysis which uses mathematical algorithms to extract characteristic features from clinical imaging data. Prior studies have evaluated the use of radiomics analysis in CT imaging for adding information about cancer aggressiveness as well as for predicting treatment response. In the colon cancer staging, CT represent the main clinical imaging method to stage the tumor and manage the therapy choices. The major goal of CT is to determine by visual assessment if there is direct invasion of adjacent organs, presence of pathologic lymph nodes and, evidence of distant metastases. Radiomics in colon cancer is proposed to potentially improve characterization and prognosis, mostly using Computed Tomography (CT). The aim of the present thesis is to assess the role of CT imaging-based Radiomics in the colon cancer evaluation at staging to improve disease risk stratification in terms of tumor aggressiveness and lymph node metastasis to manage the best therapeutic approach tailored for the patient at clinical staging
Copernicus Geodatabase for Investigating Land Cover Changes at the European Scale
No full textCopernicus, the European initiative for monitoring the Earth, provides an extensive range of data types that allow consumers, public authorities, and scientists to get free, open, and comprehensive knowledge of the world. Therefore, it is recognized as one of the largest geodatabases storing a great deal of data provided by satellites and in-situ sensors, which are then processed to generate reliable and up-to-date information on a large number of pressing environmental and security concerns. As a result, it could be a valid option for examining the state of landscape and its evolution over time. More knowledge about land changes might assist in developing an effective strategy to tackle the soil sealing phenomena, which is largely caused by climate change and anthropogenic pressure and is being experienced by all European countries. Thus, this study examines how Copernicus earth observation data and geographical services might help with changes in terrain cover at the European level. The land cover change maps were evaluated after looking at all the data, when it was possible to perform this task, while in other cases, Google Earth Engine, a cloud platform designed by Google to manage large geographic data, was used to produce the maps. The benefits and drawbacks of the Copernicus platform have been examined. It proves to be a functional platform for achieving research goals, but it is insufficient for a global study because of the absence of data in many European cities and the low resolution of many of them
Estimating Urban Growth from Landsat 8 Data Using Post-classification and Albedo Change Analysis in GEE Environment
No full textUrban growth, defined as the increase of artificial surfaces in cities or towns, is now considered critical for the environmental impacts it can generate. Mapping and monitoring the soil sealing phenomenon provides researchers, planners and decision-makers with useful information for sustainable development. Moreover, Earth observation remote sensing images, such as medium-resolution Landsat data, is widely adopted for short to long term urban change analysis. The aim of this paper is to extract information on land consumption occurred on urban areas (period 2015–2023) from Landsat 8 data using GEE cloud platform. The territory of the municipality of Bitritto, in Apulia region (Italy), was chosen as the study site. To achieve the objective of this work, a change detection approach, including both “post-classification comparison” and “image differencing” methods, was applied. To classify Landsat 8 multispectral images into a binary scheme (“urban areas” and “non-urban areas”), a decision tree approach using STRed and SwiRed indices, NIR/SWIR2 ratio and NIR band was developed and implemented in GEE environment. The “image differencing” step was, instead, performed by subtracting two land surface albedo maps, obtained from winter Landsat 8 images, for the two reference years. A neighborhood filter to remove isolated “changed” pixels was also applied to improve the outcome. The results were promising (P.A. 85% and U.A. 77% for the “urban growth” category, with an O.A. of 92%) even though some misclassifications were identified, probably due to “mixed” pixels or to some spectral confusion among certain land cover classes
Integration of Copernicus Data and Services to Assess Local Aridity Conditions in the Apulian Context: The Case of Marina di Ginosa
No full textWater is a fundamental element for life on the Earth. Its availability, at a local scale, depends on the climate as well as on how it is managed and distributed for human use. Nowadays, water scarcity is a major concern in many parts of the world, also in relation to the possible effects of climate change and urbanization. The aim of this study is to integrate various Copernicus and other free and open data in order to calculate the main components of the water balance as defined by ISPRA’s BIGBANG procedure. The territory of a basin including the locality of Marina di Ginosa, in southern Italy, was chosen as study site. All the analyses were carried out in the Google Earth Engine cloud environment, where a proper JavaScript code was developed. The estimation made it possible to retrieve monthly maps of the hydrological variables from October 2015 to September 2018 at a geometric resolution of 10 m, and to assess local drought conditions by applying the FAO-UNEP aridity index. Even if this approach is affected by uncertainties owing to the schematic representation of the natural processes, it is a valuable tool for analyzing the spatial and temporal fluctuations of the water resource availability, especially in critical areas of southern Italy
A Customized JAVA OpenStreetMap Preset to Extract Solar Panel Installations for Humanitarian Purposes
No full textThe use of clean and renewable energies, such as solar power, is essential for improving local economies, reducing reliance on scarce fossil fuels, and mitigating climate change. However, although solar power harvested using PhotoVoltaic (PV) cells has grown significantly in recent years, the actual amount of energy produced is unknown and challenging to define because of the lack of geographic data on the number of PV panels installed on rooftops. Due to the low spatial resolution of open-source satellite images, free surveying PV small-scale installations is currently not feasible. YouthMappers, an academic network dedicated to the creation and use of open mapping for development and humanitarian purposes, offers a possible solution. Indeed, it is an effective method to gather free detailed information on a large scale thanks to the support of high-resolution satellite images such as MapBox, Bing, or DigitalBox in an open-source environment, like Java OpenStreetMap (JOSM). As a result, in this study, an ad hoc tool written in JOSM was created to map PV panels on rooftops manually. This preset collects all of the information needed to describe PV panel features, such as type, size, and orientation, and calculate the amount of energy produced. Furthermore, its interface is simple and easy to use for both Information Technology (IT) and non-IT users. All data collected is stored in a geodatabase accessible to local governments, communities, industries, and scientists, allowing for a global overview of installed PV panel systems, the potential amount of energy produced, and the tracking of their evolution over time
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