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    6076 research outputs found

    ODI and BACODI: a study on Italo Calvino's Il castello dei destini incrociati. Ontology and knowledge base

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    This dataset contains all the data concerning the study of Italo Calvino's "macchina narrativa combinatoria" from the first collection of Il castello dei destini incrociati, presented at https://projects.dharc.unibo.it/odi/. This project aims to study the narratological use of tarot cards and their combinatorial relations in the stories of the first collection of Italo Calvino's Il castello dei destini incrociati. In particular, two objects have been created: - ODI (Ontologia dei Destini incrociati di Italo Calvino), a conceptualization of the work through classes and properties. - BACODI (Base di Conoscenza dell'Ontologia dei Destini incrociati di Italo Calvino), the knowledge base modeled on ODI, which stores tarot cards in their narrative and iconographic dimensions

    Supplementary materials of the paper "Evaluating the impacts of nutrients recovery from urine wastewater in Building-Integrated Agriculture. A test case study in Amsterdam"

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    This file contains the supplementary material of the paper "Evaluating the impacts of nutrients recovery from urine wastewater in Building-Integrated Agriculture. A test case study in Amsterdam"

    Davanti all’Altro. Ancora su diritto e pudore

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    [In front of the Other. Again on Law and modesty] Law and rights have their roots in the Otherness. Modesty (as pudor) is the revelatory feeling of the authentic encounter with the Other. Modesty is a form of subtraction in “relating to” so that an openness to the Other can be maintained: it is a resource of relationship since it implies mutual measuring and respect. Only in the open distance from Otherness the respect for the Other and responsibility for the Other can exist, as a duty guided by compassion in the horizon of the possible being-in-common. Due to the impoverishment of relationality caused by the new digital media, the notion of modesty must be recovered, and in this perspective literary and humanistic cultures assume a central value. We invite, therefore, the reading of Silvio D’Arzo’s short story, Casa d’altri, which allows us to penetrate the feeling of modesty and understand its significance. As we shall see, in the increasing relationship between the two protagonists, the compassion as closeness, even in the permanence of their difference, and the feeling of responsibility for the Other allow the emergence of the measure of a silent justice

    Harm Reduction: When Does It Improve Health, and When Does it Backfire?

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    Some harm reduction strategies encourage individuals to switch from a harmful addictive good to a less harmful addictive good. This approach is controversial, with advocates claiming it helps switching to a less harmful substance, and opponents claiming it may lead to new substance abuse. This paper builds on theories of addiction to model the introduction of a harm reduction method, and it demonstrates when each side is correct, depending on the enjoyableness of the harm reduction method, the addictiveness of the harm reduction method, and the substitutability with the original addictive good

    Literature as law. Un accostamento istituzionalistico-letterario dal “mezzo”

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    [Literature as law. A literary-institutionalist approach from the “middle”]. The link between law and literature can be addressed from different perspectives. In this paper, I analyze the link from a specific point of view, attempting to argue how the two forms of knowledge behave similarly with respect to their foundation. Law and literature, albeit differently from each other, proceed as if they were true or grounded. This “as if” is crucial. The paper reflects on the fact that it constitutes the non-avoidable outcome of an interrogation on the foundation carried out by the “middle” and analyses what consequences this “middle” produces in a philosophical-literary-legal-anthropological sense and leads in the direction of a “literary” institution of law

    Leggere, (ri)scrivere e condividere: vecchie e nuove pratiche di significazione

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    Meme, twitteratura, micronarrativa social, fanfictions e web comics sono soltanto alcune delle nuove forme di scrittura emerse nell’ambito della cultura postmediale. All’avvento di tecnologie sempre più all’avanguardia e dell’era social è infatti conseguita la proliferazione di nuove pratiche di lettura, (ri)scrittura e condivisione, che stanno via via trasformando il panorama letterario, aprendo la strada a fenomeni di produzione collettiva e stimolando un vertiginoso lavoro di ri-significazione. Esperienze che trovano nella rete e in particolare nei social media il proprio ecosistema di sviluppo e propagazione, raggiungendo spesso un’audience globale. Si assiste così a una straordinaria moltiplicazione di prodotti culturali, la cui matrice è spesso ignorata dal fruitore, pur incidendo in modo significativo sulla forma e sul contenuto del messaggio. Se la cornice di questo fenomeno è inedita, aprendo itinerari pressoché inesplorati, è altrettanto vero che le pratiche di riutilizzo, alterazione e ri-significazione di testi e immagini non sono esclusive della contemporaneità: si tratta infatti di fenomeni che, con modalità diverse rispetto a quelle del web 2.0, risultano consustanziali alla produzione culturale fin dall’antichità, anche per via dell’assenza di concetti moderni come la proprietà intellettuale. Le letterature del passato sono costellate di rielaborazioni, riprese e procedimenti allusivi, e hanno sempre dato luogo a processi di transcodificazione. Da queste dinamiche e domande di fondo, da cui si irradia a sua volta una molteplicità di fenomeni molto distanti tra loro, è nato il convegno dottorale Leggere, (ri)scrivere e condividere: vecchie e nuove pratiche di significazione, tenutosi presso il Dipartimento LILEC dell’Università di Bologna tra il 16 e il 17 giugno 2021, e svoltosi in modalità telematica a causa dell’emergenza sanitaria allora in corso. Molte di queste hanno trovato forma nei contributi raccolti in questo volume, che rappresenta uno spaccato, seppur parziale, della varietà e originalità delle riflessioni proposte da chi ha partecipato. L’intento è di offrirle ai lettori e alle lettrici del secondo numero dei Quaderni del dottorato, per poter proseguire un dibattito in costante ampliamento

    Report on digital competences, learning outcomes and best practices in teaching and learning

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    The report presents the results of the international online survey on Digital competences, learning outcomes and best practices in teaching and learning conducted as part of the ENCODE project (IO1) in July 2021 under the responsibility of the University of Würzburg. This version of the report (1.0) takes into account online survey respondents up to September 2021. The survey has been conducted by distributing a questionnaire among teachers and students of digital workshops in the field of Ancient Written Cultures and aims at discussing examples of good learning and training practices in order to provide ideas for future training modules and activities, which will be produced within the project

    Dataset of the paper "Numerical modelling-based damage diagnostics in cultural heritage structures"

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    This dataset, developed as part of the Horizon 2020 HOLAHERIS project, contains data, models and results related to a numerical modelling-based damage diagnostics methodology for cultural heritage structures. A 3D documentation data integration is developed to swiftly generate numerical models of heritage structures using point clouds and virtual tours. This approach enables the utilization of incomplete point cloud data, such as those limited to outer surfaces, for generating solid finite element models. Any missing information is supplemented using interactive and immersive frameworks off-site. Subsequently, various nonlinear static and dynamic analyses are conducted on the solid model to assess different load scenarios (e.g., earthquakes, soil settlements) employing a nonlinear continuum constitutive law. Additionally, a crack pattern matching indicator is introduced to quantitatively identify the probable load scenario responsible for the observed damage pattern in the heritage structure by comparing numerical and actual crack patterns. This methodology facilitates the rapid generation and extraction of numerical models reflecting the current damaged state of the structure and identifies vulnerable areas susceptible to further damage. Models and structural analysis results (pushover curves) related to a meaningful benchmark, i.e., Morris Island lighthouse in South Carolina (USA), are also collected herein

    AEQUITAS. WP7. USE CASE HR1. DESC. v1.0

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    The dataset contains the matching of job positions and hiring candidates; this data has been collected by a big Italian company, working in the HR sector - ADECCO. The detailed description of the data can be found in a README file within the compressed archive. This activity is part of the HORIZON-CL4-2021-HUMAN-01-24-AEQUITAS project (g.a. 101070363). The aim of AEQUITAS to address and tackle the multiple manifestations of bias and unfairness in Artificial Intelligence (AI) from a variety of dimensions, such as the development of AI tools, the data used to train, test and validate them or the interpretation practices developed around them. AEQUITAS offers an overall approach for tackling the problem, savant of the criticalities that automation and AI techniques bring about. This case study allows for detecting hiring dataset biases which are the primary source for training a novel AI system. For example, there are historical trends in the labour market in favour of men (higher levels of education, once of employment, hence of hiring) that might be reflected in the data history of ADECCO. Balancing these inequalities in data or leaving data biased and targeting debiasing or bias reducing algorithms is a key step for a fair AI system and dataset. The ADECCO data offer data were to compare selection decisions with regards to important bias, such as gender, age, economic background, etc

    ConcePTION WP3 task 3.3. Quantification of amoxicillin in milk and blood collected from lactating sows and in piglets’ blood

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    The dataset contains data about amoxicillin quantification in milk and blood collected from lactating sows and in piglets’ blood, obtained in the framework of the Horizon 2020 IMI funded project ConcePTION. The main goal of ConcePTION is to establish a trusted ecosystem that can efficiently, systematically, and in an ethically responsible manner, generate and disseminate reliable evidence-based information regarding effects of medications used during pregnancy and breastfeeding to women and their healthcare providers. This will be achieved by generating, cataloguing, linking, collecting and analysing data from pharmacovigilance, modelling, routine healthcare, breastmilk samples through a large network. Within such framework, task 3.3 of WP3 aims at developing and characterising a relevant in vivo model for drug passage from maternal blood to human breast milk. Based on a preliminary scan of existing literature, the chosen species to perform such non-clinical trial was the porcine one due to high anatomical and physiological similarities. In the initial trial, amoxicillin was chosen as the first molecule for a variety of reasons including alignment with other Work Packages (WPs) performing studies on human breastmilk. Additionally, since amoxicillin is commonly used in pigs, the choice of the route of administration, the administration interval and the doses were supported by reliable background data

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