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Institution

Sapienza University of Rome

EducationRome, Lazio, Italy
About: Sapienza University of Rome is a education organization based out in Rome, Lazio, Italy. It is known for research contribution in the topics: Population & Medicine. The organization has 62002 authors who have published 155468 publications receiving 4397244 citations. The organization is also known as: La Sapienza & Università La Sapienza di Roma.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors provide a baseline general equilibrium model of optimal monetary policy among interdependent economies with monopolistic firms and nominal rigidities, and show that optimal monetary rules in a world Nash equilibrium lead to less exchange rate volatility relative to both inward-looking rules and discretionary policies, even when the latter do not suffer from any inflationary bias.

443 citations

Journal ArticleDOI
Peter A. R. Ade1, Nabila Aghanim2, Monique Arnaud3, M. Ashdown4  +284 moreInstitutions (66)
TL;DR: The first all-sky sample of galaxy clusters detected blindly by the Planck satellite through the Sunyaev-Zeldovich (SZ) effect from its six highest frequencies was presented in this paper.
Abstract: We present the first all-sky sample of galaxy clusters detected blindly by the Planck satellite through the Sunyaev-Zeldovich (SZ) effect from its six highest frequencies. This early SZ (ESZ) sample is comprised of 189 candidates, which have a high signal-to-noise ratio ranging from 6 to 29. Its high reliability (purity above 95%) is further ensured by an extensive validation process based on Planck internal quality assessments and by external cross-identification and follow-up observations. Planck provides the first measured SZ signal for about 80% of the 169 previouslyknown ESZ clusters. Planck furthermore releases 30 new cluster candidates, amongst which 20 meet the ESZ signal-to-noise selection criterion. At the submission date, twelve of the 20 ESZ candidates were confirmed as new clusters, with eleven confirmed using XMM-Newton snapshot observations, most of them with disturbed morphologies and low luminosities. The ESZ clusters are mostly at moderate redshifts (86% with z below 0.3) and span more than a decade in mass, up to the rarest and most massive clusters with masses above 1 × 10 15 M� .

443 citations

Journal ArticleDOI
TL;DR: In this article, a questionnaire for the measurement of the Big Five Factor Model (which includes the factors Extraversion, Agreeableness or Friendliness, Conscientiousness, Emotional Stability or Neuroticism, and Intellect or Openness to Experience) is presented.

443 citations

Journal ArticleDOI
Magnus Manske1, Magnus Manske2, Olivo Miotto3, Olivo Miotto1, Susana Campino1, Susana Campino2, Sarah Auburn2, Sarah Auburn4, Sarah Auburn1, Jacob Almagro-Garcia1, Jacob Almagro-Garcia5, Jacob Almagro-Garcia2, Gareth Maslen1, Gareth Maslen2, John O'Brien5, John O'Brien1, Abdoulaye A. Djimde6, Ogobara K. Doumbo6, Issaka Zongo, Jean-Bosco Ouédraogo, Pascal Michon7, Ivo Mueller7, Peter Siba7, Alexis Nzila8, Steffen Borrmann8, Steven M. Kiara8, Kevin Marsh8, Hongying Jiang9, Xin-zhuan Su9, Chanaki Amaratunga9, Rick M. Fairhurst9, Duong Socheat, François Nosten3, François Nosten1, Mallika Imwong3, Nicholas J. White3, Nicholas J. White1, Mandy Sanders2, Elisa Anastasi2, Dan Alcock2, Eleanor Drury2, Samuel O. Oyola2, Michael A. Quail2, Daniel J. Turner2, Valentin Ruano-Rubio5, Valentin Ruano-Rubio2, Valentin Ruano-Rubio1, Dushyanth Jyothi1, Dushyanth Jyothi2, Lucas Amenga-Etego1, Lucas Amenga-Etego5, Christina Hubbart5, Anna E. Jeffreys5, Kate Rowlands5, Colin J. Sutherland10, Cally Roper10, Valentina D. Mangano11, David Modiano11, John C. Tan12, Michael T. Ferdig12, Alfred Amambua-Ngwa, David J. Conway10, Shannon Takala-Harrison13, Christopher V. Plowe13, Julian C. Rayner2, Kirk A. Rockett5, Kirk A. Rockett2, Kirk A. Rockett1, Taane G. Clark10, Taane G. Clark2, Taane G. Clark1, Chris I. Newbold1, Chris I. Newbold2, Matthew Berriman2, Bronwyn MacInnis1, Bronwyn MacInnis2, Dominic P. Kwiatkowski1, Dominic P. Kwiatkowski2, Dominic P. Kwiatkowski5 
19 Jul 2012-Nature
TL;DR: Methods for the large-scale analysis of genetic variation in Plasmodium falciparum by deep sequencing of parasite DNA obtained from the blood of patients with malaria, either directly or after short-term culture are described.
Abstract: methods for the large-scale analysis of genetic variation in Plasmodium falciparum by deep sequencing of parasite DNA obtained from the blood of patients with malaria, either directly or after short-term culture Analysis of 86,158 exonic single nucleotide polymorphisms that passed genotyping quality control in 227 samples from Africa, Asia and Oceania provides genomewide estimates of allele frequency distribution, population structure and linkage disequilibrium By comparing the genetic diversity of individual infections with that of the local parasite population, we derive a metric of within-host diversity that is related to the level of inbreeding in the population An open-access web application has been established for the exploration of regional differences in allele frequency and of highly differentiated loci in the P falciparum genome The genetic diversity and evolutionary plasticity of P falciparum are major obstacles for malaria elimination New forms of resistance against antimalarial drugs are continually emerging 1,2 , and new forms of antigenic variation are a critical point of vulnerability for future malaria vaccines Effective tools are needed to detect evolutionary changes in the parasite population and to monitor the spread of genetic variants that affect malaria control Here we describe the use of deep sequencing to analyse P falciparum diversity, using blood samples from patients with malaria The P falciparum genome has several unusual features that greatly complicate sequence analysis, such as extreme AT bias, large tracts of nonunique sequence and several large families of intensely polymorphic genes 3 Our aim was therefore not to determine the entire genome sequence of individual field samples—which would be prohibitively expensive with current technologies—but to define an initial set of single nucleotide polymorphisms (SNPs) distributed across the P falciparum genome, whose genotype can be ascertained with confidence in parasitized blood samples by deep sequencing An additional complication in the analysis of P falciparum genome variation is that the billions of haploid parasites that infect a single individual can be a complex mixture of genetic types Previous studies 4–8 have largely focused on laboratory-adapted parasite clones, but the within-host diversity of natural infections is of fundamental biological interest Parasites in the blood replicate asexually, but when they are taken up in the blood meal of an Anopheles mosquito they undergo sexual mating If the parasites in the blood are of diverse genetic types, this process of sexual mating can generate novel recombinant forms Deep sequencing provides new ways of investigating within-host diversity and the role of sexual recombination in parasite evolution

442 citations

Journal ArticleDOI
TL;DR: A method and a tool aimed at the extraction of domain ontologies from Web sites, and more generally from documents shared among the members of virtual organizations, based on a new word sense disambiguation algorithm, called structural semantic interconnections is presented.
Abstract: We present a method and a tool, OntoLearn, aimed at the extraction of domain ontologies from Web sites, and more generally from documents shared among the members of virtual organizations. OntoLearn first extracts a domain terminology from available documents. Then, complex domain terms are semantically interpreted and arranged in a hierarchical fashion. Finally, a general-purpose ontology, WordNet, is trimmed and enriched with the detected domain concepts. The major novel aspect of this approach is semantic interpretation, that is, the association of a complex concept with a complex term . This involves finding the appropriate WordNet concept for each word of a terminological string and the appropriate conceptual relations that hold among the concept components. Semantic interpretation is based on a new word sense disambiguation algorithm, called structural semantic interconnections.

442 citations


Authors

Showing all 62745 results

NameH-indexPapersCitations
Charles A. Dinarello1901058139668
Gregory Y.H. Lip1693159171742
Peter A. R. Ade1621387138051
H. Eugene Stanley1541190122321
Suvadeep Bose154960129071
P. de Bernardis152680117804
Bart Staels15282486638
Alessandro Melchiorri151674116384
Andrew H. Jaffe149518110033
F. Piacentini149531108493
Subir Sarkar1491542144614
Albert Bandura148255276143
Carlo Rovelli1461502103550
Robert C. Gallo14582568212
R. Kowalewski1431815135517
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023405
20221,106
20219,797
20209,755
20198,332
20187,615