131,567 research outputs found

    Correction: Antimicrobial resistance genotypes and phenotypes of Campylobacter jejuni isolated in Italy from humans, birds from wild and urban habitats, and poultry(PLoS ONE (2019) 14:10(e0223804)DOI: 10.1371/journal.pone.0223804)

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    The third author’s name is spelled incorrectly. The correct name is: Lisa Di Marcantonio. The correct citation is: Marotta F, Garofolo G, Di Marcantonio L, Di Serafino G, Neri D, Romantini R, et al. (2019) Antimicrobial resistance genotypes and phenotypes of Campylobacter jejuni isolated in Italy from humans, birds from wild and urban habitats, and poultry. PLoS ONE 14 (10): e0223804. https://doi.org/10.1371/journal.pone.0223804

    85 SOCIAL HOUSING UNITS IN CORNELLÀ

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    A Cornellà, Peris+Toral Arquitectes hanno progettato e realizzato 85 unità di alloggi sociali seguendo un design innovativo basato su una matrice di stanze comunicanti, eliminando i corridoi e ottimizzando lo spazio. L'uso predominante del legno ha permesso una costruzione sostenibile, riducendo significativamente i tempi e le emissioni di CO2. L'edificio presenta caratteristiche di sostenibilità avanzate, con una riduzione del 55% dell'impronta ecologica rispetto agli edifici convenzionali e un'alta classe energetica. Le sue terrazze perimetrali e rivestimenti esterni sono stati progettati per offrire protezione solare e privacy. L'approccio costruttivo ha puntato sull'utilizzo di legno locale e l'edificio è stato completato in 17 mesi

    Tecniche di fotogrammetria digitale per lo studio del litorale ionico-lucano

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    In questa nota si presentano i risultati ottenuti dall’applicazione della fotogrammetria digitale a voli effettuati sul litorale jonico- lucano in diverse epoche, al fine di evidenziare il fenomeno dell’arretramento della costa ed in generale della variazione morfologica della foce di cinque fiumi. E’ stata utilizzata la Triangolazione Aerea e punti fotografici d’appoggio comuni ai due set di fotogrammi della medesima zona al fine di confrontare le variazioni intervenute nel tempo. Questa operazione si è rilevata abbastanza gravosa per la difficoltà di trovare punti naturali presenti in voli temporalmente distanti in aree fortemente modificate. I modelli digitali del terreno sono stati elaborati mediante correlazione digitale di immagini; il confronto dei grigliati ha permesso di individuare le variazioni morfologiche di interesse.Abstract. In present paper we give the results of a number of tests about the applicability of digital techniques on photogrammetrical flights carried out on the jonic-lucan coast in various ages in order to make evident the phenomena of both the coast withdrawal and the morphological variation of the mouth of five rivers. We made use of Aerial Triangulation technique by utilizing ground control points common to the five sets of photograms of the same zone. The procedure has been serious because of the difficulty to find a sufficient number of natural points of the ground which were present in two flights which are far away in time and in strongly modified areas. Digital correlation technique were applied on the images in order to produce automatically the digital terrain models. The comparison between the set of grids made possible the evaluation of the morphological variations

    Impact of alien species on dune systems: a multifaceted approach

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    We applied a multifaceted approach, in terms of taxonomic, phylogenetic and functional diversity, to study at fine scale how three plant communities occurring in a Mediterranean dune have been affected by the encroachment of alien species. We sampled 81 sites in a Site of Community Importance in Central Italy. Past and present land use/cover data have been derived using GIS and remote sensing tools. Information on plants phylogenesis and functional traits has been gathered from several databases. Ecological variables have been collected. GLMs in conjunction with an Information Based approach were used to model species composition, richness and phylogenetic diversity. Multivariate analysis has been used to study functional diversity. The results outlined how total species richness is related to recent land transformations and to a set of environmental factors. The analyses of functional and phylogenetic diversity support the idea that alien species significantly affect the functional and phylogenetic characteristics of the native plant communities. Habitat filtering seems to be predominant in not-invaded plots, whereas limiting similarity/niche differentiation is predominant in driving community assembly of invaded communities. The attained scenario depicts the spread of a reduced group of alien species phylogenetically and functionally well-differentiated, able to reduce the abundance of native species, not to exclude them though. Ultimately, the multifaceted approach assisted in understanding the community assembly of dune vegetation, and to discern the relative impact of alien species on native plant communities. Such approach represents a crucial step to achieve an efficient management of dune habitats, as useful tool to monitor and to effectively protect their biodiversity and functionin

    Measuring Rao’s Q diversity index from remote sensing: an open source solution

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    Measuring biodiversity is a key issue in ecology to guarantee effective indicators of ecosystem health at different spatial and time scales. However, estimating biodiversity from field observations might present difficulties related to costs and time needed. Moreover, a continuous data update for biodiversity monitoring purposes might be prohibitive. From this point of view, remote sensing represents a powerful tool since it allows to cover wide areas in a relatively low amount of time. One of the most common indicators of biodiversity is Shannon's entropy H′, which is strictly related to environmental heterogeneity, and thus to species diversity. However, Shannon's entropy might show drawbacks once applied to remote sensing data, since it considers relative abundances but it does not explicitly account for distances among pixels’ numerical values. In this paper we propose the use of Rao's Q applied to remotely sensed data, providing a straightforward R-package function to calculate it in 2D systems. We will introduce the theoretical rationale behind Rao's index and then provide applied examples based on the proposed R functio

    Modeling the spread and control of the Asian tiger mosquito in Los Angeles

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    The Asian tiger mosquito, Aedes albopictus, is among the world’s most invasive species. Its spread has been facilitated by rapid global transport of cargo and potentially by the warming of climate, and it is now established on every continent except Antarctica. This species represents a “triple threat” to human health, being a day-biting pest, a competent vector of globally important dengue and chikungunya viruses, and a potential bridge vector of several zoonotic arboviruses. As a result of its importance, the biology of Ae. albopictus is also well-studied, but the fine-scale processes by which it becomes established in a given location are poorly understood. This is because even intensive surveillance systems yield limited information during the early phase of invasions when densities are low, and detection often occurs after populations are relatively widespread. Fine-scale spatial models for mosquito dynamics and movement offer a way forward, marrying our understanding of Ae. albopictus biology with surveillance paradigms and detailed data on the real landscapes where invasions occur. This presentation will consider the impacts of climate on the biology of Ae. albopictus and explore their implications for the ongoing invasion and establishment of Ae. albopictus in Los Angeles since 2011. We have used hierarchical modeling to account for heterogeneities in household-level suitability, then we modeled the stochastic dynamics of Ae. albopictus on this landscape using the suitability surface and a temperature-dependent, dynamical model for reproduction and spread. I will discuss the modeling approach and use the model results to answer policy-relevant questions related to our ability to detect and control these highly invasive mosquitoes

    Plant biodiversity of beech forests in central-northern Italy: a methodological approach for conservation purposes

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    Forests are reckoned essentials as biodiversity reservoirs and carbon sinks. Current threats to forest ecosystems (e.g., climate changes, habitat loss and fragmentation, management changes) call for monitoring their biodiversity and preserving their ecological functions. In this study, we characterized plants diversity of five beech forests located in central and north Apennines mountain chain, using results by a probabilistic sampling. In order to achieve our goals, we have considered species richness and abundance, taxonomic distinctness and species composition, using both old and new analytical approaches. Results have shown how: (1) the forest type dominated by Fagus sylvatica is characterized by high complexity, with marked compositional, structural and biodiversity differences; (2) beech forests of Pigelleto di Piancastagnaio and Valle della Corte show the highest plants diversity values. The ecological characteristics of these areas, which sustain high diversity values, are unique and of great conservation interest; (3) the use of species richness as the only diversity measure have not allowed an efficient differentiation between studied areas. Indeed, the use of different indexes and analytical methods is required to detect multiple characteristics of biological diversity, as well as to carry out efficient biodiversity surveys aimed to develop optimal conservation strategies. In the future, we plan to apply the sampling methodology and the analytical approach used in this paper to characterize plants diversity of similar forest types

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
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