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Il tempio Malatestiano di Rimini purificato da Pio II in una medaglia qui attribuita alla coppia Laurana-Pietro da Milano
La ricerca sulla medaglia, conservata a Milano nel Gabinetto Numismatico e Medagliere -Raccolte Artistiche Castello Sforzesco- inv. N. 3979, ha portato elementi, fino ad ora non considerati, tali da indurre ad una nuova interpretazione sia del diritto, sia, soprattutto, del rovescio della medaglia. Si argomenta quindi come questa medaglia sia stata voluta da Renato d’Angiò per ringraziarsi Pio II, nei confronti dei rivali Aragonesi esaltando la sconfitta del suo acerrimo nemico: il pagano Sigismondo Malatesti, malgrado Sigismondo avesse fatto parte dell’esercito Angioino vincitore a Sannio nel 1460.
Gli argomenti discussi portano a ritenere che la medaglia sia stata commissionata alle mani esperte di Francesco Laurana e di Pietro di Martino, che hanno saputo in essa unire la tradizione medaglistica di Pisanello, la conoscenza delle imprese Malatestiane e la loro grande esperienza maturata in un ambiente particolarmente stimolante come quello della corte di Napoli
Atti del XXIV Convegno Nazionale di Agrometeorologia. L’Agrometeorologia a supporto dei sistemi colturali e zootecnici
L’Agrometeorologia riveste un ruolo centrale nella modellistica agronomica, fondamentale per
l’incremento dell'efficienza delle attività agricole, e l’ottimizzazione dell’uso delle risorse produttive in
questo settore. La modellistica agrometeorologica consente di effettuare previsioni stagionali riguardo lo
sviluppo fenologico delle colture, l’insorgere di condizioni favorevoli alla proliferazione di agenti
patogeni, la domanda irrigua del ciclo colturale, la comparsa di condizioni meteorologiche estreme (danni
da caldo, danni da gelo ecc.), rappresentando uno strumento essenziale, al servizio del processo
gestionale e decisionale sia nell’ambito dei sistemi colturali che in quello zootecnico. Il rapporto tra
Agrometeorologia e modellistica è quindi fondamentale per una evoluzione del management agronomico
e zootecnico, orientata all’implementazione di servizi per gli imprenditori agricoli e gli allevatori. AIAM
propone, per il 24° convegno Nazionale, una disamina del ruolo dell’Agrometeorologia al servizio dei
sistemi colturali e zootecnici, e di come la creazione di modelli possa tradursi in concreti strumenti da
porre al servizio degli addetti al settore
PLUS.WP1 Platforms legal framework
This dataset refers to WP1 of PLUS project focusing on the definition of a historical, legal and economic framework of platform economy. In particular, this set concentrate on legal aspects and contains bibliographic sources for a literature review on European and national legislation on platform economy. Moreover, it includes references to national legal codes and to some platforms (Airbnb, Deliveroo, Helpling and Uber) terms and conditions of use.
In particular, file PLUS_1_PLUS.WP1 Platforms legal framework_Literature and Sources_20220330_v1_ods contains 3 sheets: a) bibliography on legislation on platforms, b) sources of national legislative, c) weblinks to platforms terms and conditions
PLUS.WP2 Qualitative analysis of platform labor in Bologna
This set contains materials from PLUS project field work analysis on platform labour in Bologna. In particular, there are qualitative interviews to Airbnb, Helpling and Deliveroo workers. The same interviews have been coded with Nvivo software and analyzed. Moreover, a final focus group with platform workers had been organized to validate the results of the investigation
FEDORA. Excerpts from essays on students’ future perception. Italy
The data set consists of a selection and organization of pre-existing raw data on students’ future perception. This raw data have been collected in Italian implementations of the Erasmus+ project “I SEE” (GA 2016-1-IT02-KA201-024373, https://iseeproject.eu) and consists of more than 100 anonymized essays on “a typical day in 2030 or 2040”. In these essays, 17-19 years old students describe how they imagine their future (the job, the technologies, the social and natural environments). The dataset includes transcriptions of the most relevant parts of “I SEE” essays and the results of their quantitative and qualitative software analysis. The aims of these analyses are to build a framework on students (15-19 years old) perception of the future and to point out markers for assessing eventual changes in students’ perception of the future, through teaching
Raw data – Pipeline Validation of finite element model of a human spine segment
The file dataset contains the data used for the validation study on subject-specific finite element model (FEM) of a metastatic spine segment. The model was developed starting from quantitative computed tomography images of a cadaveric lumbar spine segment (L1-L4) obtained by an ethically-approved donation program. Numerical simulations were performed in Ansys Mechanical APDL to simulate the experimental test where the cadaveric specimen was loaded in compression-bending using a uniaxial testing machine. Model predictions in terms of surface displacements on L2 and L3 vertebral bodies were compared to the experimental displacements measured with Digital Image Correlation (DIC). Results obtained from the local comparison between experimental data and simulation results showed good prediction accuracy (R2 > 0.9 and RMSE% < 8%).
Specifically, the dataset contains experimental data obtained using the Digital Image Correlation technique and the results of the simulations in term of coordinates and displacement vectors. Two regions of interest (RoIs) were identified in the antero-lateral surfaces of the vertebral bodies: RoI #1 corresponds to the surface of the metastatic vertebra (L2), while RoI #2 is related to the surface of the control vertebra (L3)
Politically connected cities: Italy 1951-1991
The paper estimates the political connection premium for Italian cities tracked during the second half of the 1900s, when the role of the state in the economy was very widespread. It leverages the peculiar features of the gridlocked political landscape in place between the end of World War II and the fall of the Berlin wall, during which most influential politicians remained in charge for a very long time. We compare connected cities - small areas surrounding birthplaces of both prime ministers and leaders of the parties in power - with very similar, but unconnected
municipalities, and find that politically connected cities gained a population premium of 8% over 40 years. When the connection ends, the difference in growth rate fades away. We document that birthplaces of powerful politicians benefited from both infrastructure investments and the location of plants by state-owned enterprises. Not surprisingly, the connection favored industrialization, raised employment and wages, but crowded out private entrepreneurship. Finally, our empirical evidence indicates that agglomeration economies in treated municipalities were not higher, thus suggesting that, if anything, place-based interventions linked to political connections have not been output-enhancing from a nationwide point of view
Small area estimation of inequality measures using mixtures of betas
Economic inequalities referring to specific regions are crucial in deepening spatial heterogeneity. Income surveys are generally planned to produce reliable estimates at countries or macro region levels, thus we implement a small area model for a set of inequality measures (Gini, Relative Theil and Atkinson indexes) to obtain microregion estimates. Considering that inequality estimators are unit-interval defined with skewed and heavy-tailed distributions, we propose a Bayesian hierarchical model at area level involving a Beta mixture. An application on EU-SILC data is carried out and a design-based simulation is performed. Our model outperforms in terms of bias, coverage and error the standard Beta regression model. Moreover, we extend the analysis of inequality estimators by deriving their approximate variance functions
HFValid collection: Hip-Fracture validation collection
The HFValid dataset is composed of 101 calibrated CT scans of whole femurs, the corresponding segmentations, and selected anatomical landmarks. The CT scans were collected at Rizzoli
Orthopaedic Institute (IOR) from 1999 to 2016 for surgical planning of hip arthroplasty at the contralateral femur
Design of “hot-spots” for beneficial insects in urban context
This study has the aim of identifying the wild plant species located in the case study area, an urban agro-ecological farm, that could be used to build functional biodiversity "hot-spots", in order to attract and create suitable habitats for predators, parasitoids and pollinators insects in view of conservative biological control and pollination service.
Design of the specific "hot spots" is based on the consideration that some plants have a fundamental role in entomophagous and pollinator insects life as source of protein through their pollen, energy from their nectar, alternative preys and winter shelter. These roles are synthetized within the sigla SNAP (shelter, nectar, alternative preys), the base of conservative
biological control