220 research outputs found

    The "Green Pass" Controversy in the Italian Twittersphere: a Digital Methods Mapping

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    In this paper we developed a digital methods mapping of the controversy arises from the adoption of the so-called "Green Pass" in Italy Adopting an "agnostic" approach to our object of study, we used a well-established research design: namely, to collect all the tweets that contain words related to conversations about the green pass in Italy (e.g.: green pass, #greenpass). In this way, the sample collected amounts to 4.307.487 tweets, published between June 15, 2021, and December 15, 2021. To bring out the "voices" of the different actors involved in the controversy we adopted a quali-quantitative approach: on the one hand, by means of computational techniques, we reconstructed the structural relations in which the actors are involved and its evolution over time; on the other hand, by means of content analysis we enriched our map with an interpretation of the discourse surrounding the controversy. Finally, these cartographic results are discussed considering the Italian media system functioning, in order to understand how its conformation may have influenced the public debate concerning the green pass

    Sull’inapplicabilità del nuovo art. 18 St. lav. al lavoro pubblico privatizzato = On the inapplicability of the new art. 18 St. work to privatized public work. On the inapplicability of the new art. 18 St. work to privatized public work. WP C.S.D.L.E. “Massimo D’Antona”.IT – 187/2013

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    The paper addresses the question of the direct applicability of article 18 (as recently amended in 2012) to “contractualized” public employment. Different opinions are taken into account. The conclusion is that, insofar as article 1, para. 7-8, Law 92/2012 is not implemented, the new article 18 (as well as the new procedure) is not applicable to public employment relationships. The paper also examines the possible implications of this solution and highlights divergences between Italian scholarship and case law

    The "Green Pass" Controversy in the Italian Twittersphere: a Digital Methods Mapping

    Get PDF
    In this paper we developed a digital methods mapping of the controversy arises from the adoption of the so-called "Green Pass" in Italy Adopting an "agnostic" approach to our object of study, we used a well-established research design: namely, to collect all the tweets that contain words related to conversations about the green pass in Italy (e.g.: green pass, #greenpass). In this way, the sample collected amounts to 4.307.487 tweets, published between June 15, 2021, and December 15, 2021. To bring out the "voices" of the different actors involved in the controversy we adopted a quali-quantitative approach: on the one hand, by means of computational techniques, we reconstructed the structural relations in which the actors are involved and its evolution over time; on the other hand, by means of content analysis we enriched our map with an interpretation of the discourse surrounding the controversy. Finally, these cartographic results are discussed considering the Italian media system functioning, in order to understand how its conformation may have influenced the public debate concerning the green pass

    La videosorveglianza nei luoghi di lavoro fra Convenzione europea dei diritti dell\u2019uomo, diritto dell\u2019UE e diritto italiano

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    Con la sentenza L\uf3pez Ribalda et al. c. Spagna del 17 ottobre 2019,1 la Grande Camera della Corte europea dei diritti dell\u2019uomo (Corte EDU) ha ribaltato il giudizio reso da una Camera della stessa Corte il 9 gennaio 2018,2 secondo cui la videosorveglianza segreta dei dipendenti di una catena di supermercati spagnola, effettuata a seguito di sospetti di furto, violava il diritto al rispetto della vita privata sancito dall\u2019art. 8 della Convenzione europea dei diritti dell\u2019uomo (CEDU). La pronuncia \ue8 interessante per il bilanciamento che offre fra i diritti dei lavoratori e del datore diritti \u2013 il bilanciamento fra diritti individuali \ue8 sempre opera delicata, lo \ue8 a maggior ragione in materia lavoro. Essa merita di essere annotata per le sue possibili ricadute (auspicabili o meno) nell\u2019ordinamento italiano e, pi\uf9 nello specifico, la sua idoneit\ue0 a condizionare l\u2019applicazione e interpretazione delle disposizioni nazionali che regolano la videosorveglianza nei luoghi di lavoro \u2013 che hanno costituito oggetto di recenti interventi normativi, e sono da sempre tema di dibattito dottrinale e giurisprudenziale

    Financial sector pro-cyclicality: lessons from the crisis

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    We analyze the main forces affecting financial system pro-cyclicality (the fact that developments in the financial sector can amplify business cycle fluctuations). We first review some major structural developments in financial markets that may influence pro-cyclicality and that have been overlooked in earlier analyses. We then examine three issues that are center stage in the current debate: capital regulation, accounting standards and managers’ incentives. After reviewing the institutional set-up and the key mechanisms at work, we critically examine a series of proposals designed to mitigate pro-cyclicality.pro-cyclicality, financial accelerator, capital requirements, leverage, accounting standards, incentives

    Halogen bond directionality translates tecton geometry into self-assembled architecture geometry

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    The structures of halogen-bonded infinite chains involving two diiodoperfluoroalkanes and a bent bis(pyrid-4′-yl)oxadiazole show that the geometry of the pyridyl pendant rings is translated into the angle between the formed halogen bonds. © 2013 The Royal Society of Chemistry

    Applicazione del machine learning ai learning analytics della piattaforma Moodle per creare gruppi eterogenei nei corsi on-line

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    In university courses to promote collaborative activities among students, on-line learningenvironments such as e-learning platforms are used. Effective collaborative activitiesinvolve the creation of heterogeneous groups of 4 or 5 students. In the university contextthe formation of groups is difficult due to the high number of students. Groups are oftenunbalanced and not very functional if chosen randomly. Some e-learning platforms, suchas Moodle, lack an intelligent mechanism that allows the automatic creation of heterogeneousgroups of students. We applied clustering algorithms on Moodle learning analytics(LA) that allowed to build groupings that identify the different characteristics ofstudents based on their behaviors kept on the platform. Therefore we have developedan intelligent numerical tool which, using clusters obtained from Machine Learning onthe LA, generates heterogeneous groups. These groups are made available on the platformfor the teacher. The project will conclude with the development of a Moodle pluginto automate the exchange of data and information between the Machine Learning algorithmand the Moodle platform.Nei percorsi universitari, per favorire le attività collaborative tra gli studenti, vengono utilizzatiambienti di apprendimento on-line come le piattaforme e-learning. Attività collaborativeefficaci prevedono la creazione di gruppi eterogenei di 4 o 5 studenti. Nelcontesto universitario la formazione dei gruppi è difficile per l’elevato numero di studenti.Se scelti in maniera casuale, spesso i gruppi risultano sbilanciati e poco funzionali. Alcunepiattaforme e-learning, ad esempio Moodle, mancano di un meccanismo “intelligente”che permetta di creare in automatico gruppi eterogenei di studenti. Il nostro lavoro consistenel realizzare un software in Python in grado di creare gruppi eterogenei di studenti,utilizzando tecniche di Machine Learning con i dati estratti da Moodle. Abbiamo applicato algoritmi di clustering sui learning analytics (LA) di Moodle che hanno permesso di costruiredei raggruppamenti che identificano le caratteristiche degli studenti in base ai lorocomportamenti in piattaforma. Abbiamo quindi sviluppato uno strumento numerico “intelligente”che, utilizzando i cluster ottenuti dal Machine Learning sui LA, genera gruppieterogenei. Questi gruppi vengono messi a disposizione in piattaforma per il docente. Ilprogetto si concluderà con lo sviluppo di un plugin di Moodle per automatizzare lo scambiodi dati e informazioni tra l’algoritmo di Machine Learning e la piattaforma Moodle

    Genome-wide transcriptional analysis of grapevine berry ripening reveals a set of genes similarly modulated during three seasons and the occurrence of an oxidative burst at vèraison

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    <p>Abstract</p> <p>Background</p> <p>Grapevine (<it>Vitis </it>species) is among the most important fruit crops in terms of cultivated area and economic impact. Despite this relevance, little is known about the transcriptional changes and the regulatory circuits underlying the biochemical and physical changes occurring during berry development.</p> <p>Results</p> <p>Fruit ripening in the non-climacteric crop species <it>Vitis vinifera </it>L. has been investigated at the transcriptional level by the use of the Affymetrix <it>Vitis </it>GeneChip<sup>® </sup>which contains approximately 14,500 unigenes. Gene expression data obtained from berries sampled before and after véraison in three growing years, were analyzed to identify genes specifically involved in fruit ripening and to investigate seasonal influences on the process. From these analyses a core set of 1477 genes was found which was similarly modulated in all seasons. We were able to separate ripening specific isoforms within gene families and to identify ripening related genes which appeared strongly regulated also by the seasonal weather conditions. Transcripts annotation by Gene Ontology vocabulary revealed five overrepresented functional categories of which cell wall organization and biogenesis, carbohydrate and secondary metabolisms and stress response were specifically induced during the ripening phase, while photosynthesis was strongly repressed. About 19% of the core gene set was characterized by genes involved in regulatory processes, such as transcription factors and transcripts related to hormonal metabolism and signal transduction. Auxin, ethylene and light emerged as the main stimuli influencing berry development. In addition, an oxidative burst, previously not detected in grapevine, characterized by rapid accumulation of H<sub>2</sub>O<sub>2 </sub>starting from véraison and by the modulation of many ROS scavenging enzymes, was observed.</p> <p>Conclusion</p> <p>The time-course gene expression analysis of grapevine berry development has identified the occurrence of two well distinct phases along the process. The pre-véraison phase represents a reprogramming stage of the cellular metabolism, characterized by the expression of numerous genes involved in hormonal signalling and transcriptional regulation. The post-véraison phase is characterized by the onset of a ripening-specialized metabolism responsible for the phenotypic traits of the ripe berry. Between the two phases, at véraison, an oxidative burst and the concurrent modulation of the anti-oxidative enzymatic network was observed. The large number of regulatory genes we have identified represents a powerful new resource for dissecting the mechanisms of fruit ripening control in non-climacteric plants.</p

    Sleep and Chronobiology as a Key to Understand Cluster Headache

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    : The cluster headache is a primary headache characterized by attacks of unilateral pain associated with ipsilateral cranial autonomic features. These attacks recur in clusters during the years alternating with periods of complete remission, and their onset is often during the night. This annual and nocturnal periodicity hides a strong and mysterious link among CH, sleep, chronobiology and circadian rhythm. Behind this relationship, there may be the influence of genetic components or of anatomical structures such as the hypothalamus, which are both involved in regulating the biological clock and contributing even to the periodicity of cluster headaches. The bidirectional relationship manifests itself also with the presence of sleep disturbances in patients affected by cluster headaches. What if the key to studying the physiopathology of such disease could rely on the mechanisms of chronobiology? The purpose of this review is to analyze this link in order to interpret the pathophysiology of cluster headaches and the possible therapeutic implications
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