Le Fosse Ardeatine: un'architettura per non dimenticare

Vicende politiche e costruttive del monumento ai martiri delle Fosse Ardeatin

Renzo Piano: un architecte à l'écoute de la Ville

L’idée selon laquelle le lieu est, pour l’architecte, la force vitale de l’édifice et que déchiffrer le lieu signifie en dégager la puissance créative et l’insuffler au projet, est à la base de la méthode d’élaboration des projets que le génois Renzo Piano a expérimentés et affinés dans les endroits les plus divers de la planète. Ainsi Central Saint Giles et The Shard London Bridge matérialisent de manière explicite l’exceptionnelle subtilité qui guide l’architecte dans l’écoute de voix, d’histoires, de couleurs, de parfums, d’émotions que Londres condense et exhale. Ce texte, tiré d’une conférence, offre une lecture rapprochée de ces deux oeuvres si différentes, aussi insolites que splendides, les replaçant au sein de la prodigalité créatrice d’un demi-siècle de projets de Piano, sénateur à vie de la République italienne. Riassunto L’idea per cui il luogo è, per l’architetto, la forza vitale dell’edificio e che decifrare il luogo significa sprigionare la potenza creativa e infonderla al projetto è alla base del metodo progettuale che il genovese Renzo Piano ha sperimentato e affinato nei luoghi più diversi del pianetà. Il Central Saint Giles e il Shard London Bridge materializzano in termini espliciti l’eccezionale sottigliezza dell’architetto alle tante voci, storie, colori, profumi, emozioni que Londra addensa e traspira. Il testo, tratto da une conferenza, affronta la lettura ravvicinata di queste due opere tanto diverse, quanto insolite e leggiadre, rapportandole alla prodigalità creativa del mezzo secolo di progettazione di Piano, senatore a vita della Repubblica Italiana

Modeling the fake news challenge as a cross-level stance detection task

The 2017 Fake News Challenge Stage 1, a shared task for stance detection of news articles and claims pairs, has received a lot of attention in recent years [3]. The provided dataset is highly unbalanced, with a skewed distribution towards unrelated samples - that is, randomly generated pairs of news and claims belonging to different topics. This imbalance favored systems which performed particularly well in classifying those noisy samples, something which does not require a deep semantic understanding. In this paper, we propose a simple architecture based on conditional encoding, carefully designed to model the internal structure of a news article and its relations with a claim. We demonstrate that our model, which only leverages information from word embeddings, can outperform a system based on a large number of hand-engineered features, which replicates one of the winning systems at the Fake News Challenge [6], in the stance detection of the related samples

The detection rate of human papillomavirus in well-differentiated squamous cell carcinoma and keratoacanthoma: is there new evidence for a viral pathogenesis of keratoacanthoma?

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PARISROC, a Photomultiplier Array Integrated Read Out Chip

PARISROC is a complete read out chip, in AMS SiGe 0.35 !m technology, for photomultipliers array. It allows triggerless acquisition for next generation neutrino experiments and it belongs to an R&D program funded by the French national agency for research (ANR) called PMm2: ?Innovative electronics for photodetectors array used in High Energy Physics and Astroparticles? (ref.ANR-06-BLAN-0186). The ASIC (Application Specific Integrated Circuit) integrates 16 independent and auto triggered channels with variable gain and provides charge and time measurement by a Wilkinson ADC (Analog to Digital Converter) and a 24-bit Counter. The charge measurement should be performed from 1 up to 300 photo- electrons (p.e.) with a good linearity. The time measurement allowed to a coarse time with a 24-bit counter at 10 MHz and a fine time on a 100ns ramp to achieve a resolution of 1 ns. The ASIC sends out only the relevant data through network cables to the central data storage. This paper describes the front-end electronics ASIC called PARISROC.Comment: IEEE Nuclear Science Symposium an Medical Imaging Conference (2009 NSS/MIC

COVID-19 and psoriasis: Is it time to limit treatment with immunosuppressants? A call for action

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Geometric parametric instability in periodically modulated graded-index multimode fibers

International audienceWe present a theoretical and numerical study of light propagation in graded-index (GRIN) mul-timode fibers where the core diameter has been periodically modulated along the propagation direction. The additional degree of freedom represented by the modulation permits to modify the intrinsic spatiotemporal dynamics which appears in multimode fibers. More precisely, we show that modulating the core diameter at a periodicity close to the self-imaging distance allows to induce a Moiré-like pattern, which modifies the geometric parametric instability gain observed in homogeneous GRIN fibers

Will-they-won't-they: A very large dataset for stance detection on twitter

We present a new challenging stance detection dataset, called Will-They-Won’t-They (WT--WT), which contains 51,284 tweets in English, making it by far the largest available dataset of the type. All the annotations are carried out by experts; therefore, the dataset constitutes a high-quality and reliable benchmark for future research in stance detection. Our experiments with a wide range of recent state-of-the-art stance detection systems show that the dataset poses a strong challenge to existing models in this domain.Keynes Fund, Cambridg

STANDER: An expert-annotated dataset for news stance detection and evidence retrieval

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Euclid: Superluminous supernovae in the Deep Survey

Context. In the last decade, astronomers have found a new type of supernova called superluminous supernovae (SLSNe) due to their high peak luminosity and long light-curves. These hydrogen-free explosions (SLSNe-I) can be seen to z ~ 4 and therefore, offer the possibility of probing the distant Universe. Aims. We aim to investigate the possibility of detecting SLSNe-I using ESA’s Euclid satellite, scheduled for launch in 2020. In particular, we study the Euclid Deep Survey (EDS) which will provide a unique combination of area, depth and cadence over the mission. Methods. We estimated the redshift distribution of Euclid SLSNe-I using the latest information on their rates and spectral energy distribution, as well as known Euclid instrument and survey parameters, including the cadence and depth of the EDS. To estimate the uncertainties, we calculated their distribution with two different set-ups, namely optimistic and pessimistic, adopting different star formation densities and rates. We also applied a standardization method to the peak magnitudes to create a simulated Hubble diagram to explore possible cosmological constraints. Results. We show that Euclid should detect approximately 140 high-quality SLSNe-I to z ~ 3.5 over the first five years of the mission (with an additional 70 if we lower our photometric classification criteria). This sample could revolutionize the study of SLSNe-I at z > 1 and open up their use as probes of star-formation rates, galaxy populations, the interstellar and intergalactic medium. In addition, a sample of such SLSNe-I could improve constraints on a time-dependent dark energy equation-of-state, namely w(a), when combined with local SLSNe-I and the expected SN Ia sample from the Dark Energy Survey. Conclusions. We show that Euclid will observe hundreds of SLSNe-I for free. These luminous transients will be in the Euclid data-stream and we should prepare now to identify them as they offer a new probe of the high-redshift Universe for both astrophysics and cosmology.Acknowledgements. We thank the internal EC referees (P. Nugent and J. Brichmann) as well as the many comments from our EC colleagues and friends. C.I. thanks Chris Frohmaier and Szymon Prajs for useful discussions about supernova rates. C.I. and R.C.N. thank Mark Cropper for helpful information about the V IS instrument. C.I. thanks the organisers and participants of the Munich Institute for Astro- and Particle Physics (MIAPP) workshop “Superluminous supernovae in the next decade” for stimulating discussions and the provided online material. The Euclid Consortium acknowledges the European Space Agency and the support of a number of agencies and institutes that have supported the development of Euclid. A detailed complete list is available on the Euclid web site (http://www.euclid-ec.org). In particular the Agenzia Spaziale Italiana, the Centre National dEtudes Spatiales, the Deutsches Zentrum für Luft- and Raumfahrt, the Danish Space Research Institute, the Fundação para a Ciênca e a Tecnologia, the Ministerio de Economia y Competitividad, the National Aeronautics and Space Administration, The Netherlandse Onderzoekschool Voor Astronomie, the Norvegian Space Center, the Romanian Space Agency, the State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space Office (SSO), the United Kingdom Space Agency, and the University of Helsinki. R.C.N. acknowledges partial support from the UK Space Agency. D.S. acknowledges the Faculty of Technology of the University of Portsmouth for support during his PhD studies. C.I. and S.J.S. acknowledge funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013)/ERC Grant agreement No. [291222]. C.I. and M.S. acknowledge support from EU/FP7-ERC grant No. [615929]. E.C. acknowledge financial contribution from the agreement ASI/INAF/I/023/12/0. The work by KJ and others at MPIA on NISP was supported by the Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) under grant 50QE1202. M.B. and S.C. acknowledge financial contribution from the agreement ASI/INAF I/023/12/1. R.T. acknowledges funding from the Spanish Ministerio de Economía y Competitividad under the grant ESP2015-69020-C2- 2-R. I.T. acknowledges support from Fundação para a Ciência e a Tecnologia (FCT) through the research grant UID/FIS/04434/2013 and IF/01518/2014. J.R. was supported by JPL, which is run under a contract for NASA by Caltech and by NASA ROSES grant 12-EUCLID12-0004