Genetic distinctiveness of a Protected Geographic Indication lentil landrace from the Umbria region, Italy, over 20 years

2019 ◽  
Vol 66 (7) ◽  
pp. 1483-1493 ◽  
Author(s):  
Simone Ceccobelli ◽  
Simona Ciancaleoni ◽  
Hovirag Lancioni ◽  
Fabio Veronesi ◽  
Emidio Albertini ◽  
...  
Keyword(s):  
Umbria Region ◽  
Genetic Distinctiveness

scholarly journals The Impact of Probability Density Functions Assessment on Model Performance for Slope Stability Analysis

Geosciences ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 322
Author(s):  
Evelina Volpe ◽  
Luca Ciabatta ◽  
Diana Salciarini ◽  
Stefania Camici ◽  
Elisabetta Cattoni ◽  
...  
Keyword(s):  
Probability Density ◽  
Central Italy ◽  
Model Performance ◽  
Probability Density Functions ◽  
Slope Instability ◽  
Complex Nature ◽  
Density Functions ◽  
Umbria Region ◽  
Input Variables ◽  
The Impact

The development of forecasting models for the evaluation of potential slope instability after rainfall events represents an important issue for the scientific community. This topic has received considerable impetus due to the climate change effect on territories, as several studies demonstrate that an increase in global warming can significantly influence the landslide activity and stability conditions of natural and artificial slopes. A consolidated approach in evaluating rainfall-induced landslide hazard is based on the integration of rainfall forecasts and physically based (PB) predictive models through deterministic laws. However, considering the complex nature of the processes and the high variability of the random quantities involved, probabilistic approaches are recommended in order to obtain reliable predictions. A crucial aspect of the stochastic approach is represented by the definition of appropriate probability density functions (pdfs) to model the uncertainty of the input variables as this may have an important effect on the evaluation of the probability of failure (PoF). The role of the pdf definition on reliability analysis is discussed through a comparison of PoF maps generated using Monte Carlo (MC) simulations performed over a study area located in the Umbria region of central Italy. The study revealed that the use of uniform pdfs for the random input variables, often considered when a detailed geotechnical characterization for the soil is not available, could be inappropriate.

scholarly journals National Early Warning Score 2 (NEWS2) better predicts critical Coronavirus Disease 2019 (COVID-19) illness than COVID-GRAM, a multi-centre study

Infection ◽  
2021 ◽  
Author(s):  
Giuseppe Vittorio De Socio ◽  
Anna Gidari ◽  
Francesco Sicari ◽  
Michele Palumbo ◽  
Daniela Francisci
Keyword(s):  
Early Warning ◽  
Operating Characteristic ◽  
Primary Outcome ◽  
Characteristic Curve ◽  
Early Warning Score ◽  
Multi Centre Study ◽  
Umbria Region ◽  
Chinese Cohort ◽  
National Early Warning Score ◽  
Specific Score

Abstract Purpose Clinical scores to rapidly assess the severity illness of Coronavirus Disease 2019 (COVID-19) could be considered of help for clinicians. Recently, a specific score (named COVID-GRAM) for severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection, based on a nationwide Chinese cohort, has been proposed. We routinely applied the National Early Warning Score 2 (NEWS2) to predict critical COVID-19. Aim of this study is to compare NEWS2 and COVID-GRAM score. Methods We retrospectively analysed data of 121 COVID-19 patients admitted in two Clinics of Infectious Diseases in the Umbria region, Italy. The primary outcome was critical COVID-19 illness defined as admission to the intensive care unit, invasive ventilation, or death. Accuracy of the scores was evaluated with the area under the receiver-operating characteristic curve (AUROC). Differences between scores were confirmed used Hanley–McNeil test. Results The NEWS2 AUROC curve measured 0.87 (standard error, SE 0.03; 95% CI 0.80–0.93; p < 0.0001). The COVID-GRAM score AUROC curve measured 0.77 (SE 0.04; 95% CI 0.68–0.85; p < 0.0001). Hanley–McNeil test showed that NEWS2 better predicted severe COVID-19 (Z = 2.03). Conclusions The NEWS2 showed superior accuracy to COVID-GRAM score for prediction of critical COVID-19 illness.

scholarly journals Elemental and Isotopic Characterization of Tobacco from Umbria

Metabolites ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 186
Author(s):  
Luana Bontempo ◽  
Daniela Bertoldi ◽  
Pietro Franceschi ◽  
Fabio Rossi ◽  
Roberto Larcher
Keyword(s):  
Stable Isotope ◽  
Economic Value ◽  
Isotope Ratios ◽  
Stable Isotope Ratios ◽  
Umbria Region ◽  
Geographical Regions ◽  
Isotopic Characterization ◽  
First Time ◽  
Micro Elements

Umbrian tobacco of the Virginia Bright variety is one of the most appreciated tobaccos in Europe, and one characterized by an excellent yield. In recent years, the Umbria region and local producers have invested in introducing novel practices (for production and processing) focused on environmental, social, and economic sustainability. Due to this, tobacco from Umbria is a leading commodity in the global tobacco industry, and it claims a high economic value. The aim of this study is then to assess if elemental and isotopic compositions can be used to protect the quality and geographical traceability of this particular tobacco. For the first time the characteristic value ranges of the stable isotope ratios of the bio-elements as a whole (δ2H, δ13C, δ15N, δ18O, and δ34S) and of the concentration of 56 macro- and micro-elements are now available, determined in Virginia Bright tobacco produced in two different areas of Italy (Umbria and Veneto), and from other worldwide geographical regions. The ranges of variability of elements and stable isotope ratios had slightly different results, according to the three geographical origins considered. In particular, Umbria samples presented significantly lower content of metals potentially dangerous for human health. The results of this first exploratory work highlight the possibility of characterizing tobacco from Umbria, and suggest widening the scope of the survey throughout Italy and foreign regions, in order to be used to describe the geographical origin of tobacco in general and verify the origin of the products on the market.

A review of the genus Forficuloecus Conci (Phthiraptera: Philopteridae) from parrots (Psittaciformes: Psittacidae), with descriptions of four new species

Zootaxa ◽  
2008 ◽  
Vol 1859 (1) ◽  
pp. 49 ◽  
Author(s):  
ROGER D. PRICE ◽  
KEVIN P. JOHNSON ◽  
RICARDO L. PALMA
Keyword(s):  
New Species ◽  
Coi Gene ◽  
Chewing Louse ◽  
Mitochondrial Coi ◽  
Mitochondrial Coi Gene ◽  
Genetic Distinctiveness

Ten species, including four new species, of the chewing louse genus Forficuloecus Conci, 1941, are recognized from Australasian parrots, and a key is given for their identification. The new species and their type hosts are: F. cameroni ex the Red-winged Parrot, Aprosmictus erythropterus (J.F. Gmelin, 1788); F. banksi ex the Mulga Parrot, Psephotus varius Clark, 1910; F. wilsoni ex the Northern Rosella, Platycercus venustus (Kuhl, 1820); and F. josephi ex the Bourke's Parrot, Neopsephotus bourkii (Gould, 1841). Partial sequences of the mitochondrial COI gene support the genetic distinctiveness of these new species.

scholarly journals Genetic Distinctiveness of the Herdwick Sheep Breed and Two Other Locally Adapted Hill Breeds of the UK

PLoS ONE ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e87823 ◽  
Author(s):  
Dianna Bowles ◽  
Amanda Carson ◽  
Peter Isaac
Keyword(s):  
Sheep Breed ◽  
Genetic Distinctiveness ◽  
The Uk

scholarly journals Long-term geochemical monitoring and extensive/compressive phenomena: case study of the Umbria Region (Central Apennines, Italy)

2009 ◽  
Vol 48 (1) ◽  
Author(s):  
A. Caracausi ◽  
F. Italiano ◽  
G. Martinelli ◽  
A. Paonita ◽  
A. Rizzo
Keyword(s):  
Geochemical Monitoring ◽  
Central Apennines ◽  
Umbria Region

scholarly journals MASONRY IN PARALLEL. A KNOWLEDGE BASED STRATEGY POST CENTRAL ITALY EARTHQUAKE 2016

2020 ◽  
Vol XLIV-M-1-2020 ◽  
pp. 3-9
Author(s):  
C. Braucher ◽  
E. Currà
Keyword(s):  
Central Italy ◽  
Field Research ◽  
Masonry Buildings ◽  
Knowledge Based ◽  
Central Italy Earthquake ◽  
Survey Form ◽  
Umbria Region ◽  
Post Traumatic ◽  
New Form

Abstract. This research aims to propose a classification of masonry typologies in Central Italy after the earthquakes that in 2016 involved about 120 municipalities. This territory, since several decades, presents high fragility features due to the depopulation process that increase the vulnerability and risk degree. This condition affects even the maintenance practices of traditional buildings by the inhabitants and the extraordinary post-traumatic situation acts as an accelerating factor of the abandonment. In this article we will explain deeply the first part of the research, focusing in particular on methods and tools that were defined and used to carry out this study. The research highlights the need of a specific comparative tool for masonry facades classification. This was elaborated through the comparison of existed bibliography as the EMS-98, the Aedes schedules and the local classification by Umbria Region and the De Meo book. The result then is the production of another synoptic map that would simplifies the correlation between different approaches to classification and the censed facades. Moreover, it was elaborated a second synoptic map moving from the analyses of many survey forms already discuss in literature. The result of this comparison is a new survey form to carry out the field research on vernacular masonry buildings. This new form focuses on the characteristics of the buildings that the research aims to study in Central Italy. The two tools that are illustrate in the following paper were applied on one hundred survey of masonry buildings carried out during August 2018. The last part of this paper proposes a statistical analysis of the results of the field research.

scholarly journals Performance of Global Atmospheric Datasets towards Groundwater Management

10.29007/5swr ◽  
2018 ◽  
Author(s):  
Paolina Bongioannini Cerlini ◽  
Silvia Meniconi ◽  
Bruno Brunone
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Groundwater Management ◽  
Water Flow ◽  
Water Table ◽  
Soil Moisture Content ◽  
Weather Forecasts ◽  
Reliable Tool ◽  
Umbria Region ◽  
Medium Range

With the aim of refining a reliable tool for groundwater management, the ERA-Interim and ERA5 global atmospheric datasets provided by the European Centre for Medium- Range Weather Forecasts (ECMWF) are examined. Attention is focused on the analysis of the behavior of the soil moisture content. The performance of ERA-Interim and ERA5 is evaluated by considering the water table measurements at three sites in the Umbria region as well as the dynamics of water flow towards the groundwater.

Conserving animal genetic resources: making priority lists of British and Irish livestock breeds

2004 ◽  
Vol 30 ◽  
pp. 311-320
Author(s):  
S.J.G. Hall
Keyword(s):  
Genetic Resources ◽  
Census Data ◽  
Wool Fibre ◽  
Conservation Priority ◽  
Livestock Industry ◽  
Sheep Industry ◽  
Sheep Breeds ◽  
Animal Genetic Resources ◽  
Fibre Fineness ◽  
Genetic Distinctiveness

AbstractPrioritisation of livestock breeds for conservation is agreed to depend upon the genetic distinctiveness of breeds, on census data and degree of endangerment, and on other factors relating to the present, future, or past function of the breeds in the livestock industry. How these factors can be combined to yield a prioritised list needs to be considered. An objective framework for prioritisation can be deduced if breeds are compared with each other by plotting genetic distinctiveness against distinctiveness of function. In this paper, the native British and Irish cattle breeds (n = 31 commercial, minority and rare breeds) have been prioritised in this way. Those with highest conservation priority are Chillingham, Gloucester, Guernsey, Jersey, Shetland and Irish Moiled. The 25 native British sheep breeds that are not on the Rare Breeds Survival Trust (RBST) Watchlist were also considered. The structure of the British sheep industry means that functional distinctiveness of breeds is not easily deduced. The only fully comparable characterisation data relate to wool fibre fineness class, so genetic distinctiveness was plotted against distinctiveness of this attribute. The non-rare breeds with highest conservation priority by this measure were Herdwick, Hampshire Down and Clun Forest.

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