Simplex-Coded BOTDA Sensor Over 120 km SMF with 1 m Spatial Resolution Assisted by Optimized Bidirectional Raman Amplification

Bidirectional low-noise Raman amplification and simplex coding based on the return-to-zero modulation format are optimized through numerical simulations for long-range Brillouin optical time-domain analysis sensing. Experimental results are reported on sensing capabilities along 120-km distance with 1-m spatial resolution, and worst-case temperature and strain resolution values of 1.3 °C and 26 με, respectively

A Typological Classification for Assessing Farm Sustainability in the Italian Bovine Dairy Sector

open5noItaly is among the most important countries in Europe for milk production. The new European policies encourage a transition towards sustainability and are leading European dairy farms to follow new trajectories to increase their economic efficiency, reduce their environmental impact, and ensure social sustainability. Few studies have attempted to classify dairy farms by analyzing the relationships between the structural profiles of farms and the social, environmental, and economic dimensions of sustainability. This work intends to pursue this aim through an exploratory analysis in the Italian production context. The cluster analysis technique made it possible to identify three types of dairy farms, which were characterized on the basis of indicators that represented the three dimensions of sustainability (environmental, social, and economic sustainability) and the emerging structural relationships based on the structural characteristics of the dairy farms. The classification made it possible to describe the state of the art of the Italian dairy sector in terms of sustainability and to understand how different types of farms can respond to the new European trajectories.openMasi, Margherita; Vecchio, Yari; Pauselli, Gregorio; Di Pasquale, Jorgelina; Adinolfi, FeliceMasi, Margherita; Vecchio, Yari; Pauselli, Gregorio; Di Pasquale, Jorgelina; Adinolfi, Felic

A typological classification for assessing farm sustainability in the Italian Bovine dairy sector

Italy is among the most important countries in Europe for milk production. The new European policies encourage a transition towards sustainability and are leading European dairy farms to follow new trajectories to increase their economic efficiency, reduce their environmental impact, and ensure social sustainability. Few studies have attempted to classify dairy farms by analyzing the relationships between the structural profiles of farms and the social, environmental, and economic dimensions of sustainability. This work intends to pursue this aim through an exploratory analysis in the Italian production context. The cluster analysis technique made it possible to identify three types of dairy farms, which were characterized on the basis of indicators that represented the three dimensions of sustainability (environmental, social, and economic sustainability) and the emerging structural relationships based on the structural characteristics of the dairy farms. The classification made it possible to describe the state of the art of the Italian dairy sector in terms of sustainability and to understand how different types of farms can respond to the new European trajectories

Public health risk management during the Covid-19 pandemic, new amendments in the European Maritime and Fisheries Fund to meet fishers’ needs

The recent COVID-19 emergency has shaped economic performance across all sectors, and the fisheries and aquaculture sector did not come out unscathed. The need to protect against risks has always been primary for economic operators, but COVID-19 has accentuated the need to obtain coverage for health risks. In this regard, the European Union has moved quickly with an amendment art. 35 of European Maritime and Fisheries Fund (Regulation [EU] No. 508/2014), including “public health crises” among the causes considered valid for compensation in mutual funds. In this paper, we analyze the evolution of Regulation 508, focusing on Article 35 and its most recent amendments, to understand if the new reform is adherent to the needs of the fisheries sector in Italy, one of the only two States that have documented in their Operational Plans the intention to implement mutual funds. The work involved an empirical analysis through the use of multivariate statistics carried out on 61 Italian stakeholders. Several company profiles were identified and then the likelihood of subscribing to a mutual fund was estimated based on their focus on health crises. The work underlines that the amendments meet the demands of the sector for improved mutual fund clauses, but it's not yet an attractive tool for the Italian market

Animal Welfare and Parasite Infections in Organic and Conventional Dairy Farms: A Comparative Pilot Study in Central Italy

The study investigated and compared welfare conditions and gastrointestinal (GI) parasites distribution among organic (ORG) and conventional (CONV) farms in central Italy. Five ORG and five CONV farms were assessed for animal welfare with an adapted version of the AssureWel protocol. Faecal samples collected from the rectum of the animals both in ORG (n = 150) and CONV (n = 150) were analysed using conventional copromiscroscopy. The presence of skin damages in the rear legs was significantly predominant (p < 0.001) in CONV (26.7%) compared with ORG farms (10.0%). No differences were found for lameness, cleanliness, Body Condition Score, hair loss, body lesions and swelling prevalence. Data concerning the productive performances, e.g., total milk, fat and protein yields standardised in mature equivalent (ME) were collected. ME milk yield (ORG: 9656.9 ± 1620.7 kg; CONV: 12,047.2 ± 2635.3) and ME fat yield (ORG: 396.6 ± 66.8; CONV: 450.3 ± 102.8) were significantly lower in ORG farms (p < 0.001). Anthelmintics were used regularly in 4/5 CONV and 0/5 ORG farms. In 2 CONV farms (40%) and 4 ORGs (80%) at least one animal tested positive for GI parasites. No significant differences in parasites prevalence emerged (ORG = 10.7%; CONV = 8%). These data indicate that ORG farming does not influence parasite prevalence and animal welfare status

[Abolishing mandatory routine medical and laboratory examination of food handlers may have influenced the reporting trends of foodborne diseases? Frequency of notified foodborne illnesses in Southern Italy from 1996 to 2009]

The aim of this study is to compare notifications of foodborne diseases in Southern Italy, before and after abolishing mandatory medical and laboratory examination routine. Data were obtained from the National Epidemiological Report of Health Ministry, that includes the annual summaries of foodborne infectious illnesses notified in Italy. The average number of foodborne diseases per million inhabitants per year decreased after the abolishment of health card for all examined conditions. There was a statistically significant reduction in all Regions for Salmonellosis and in Basilicata, Calabria, Campania and Sicily for Brucellosis. Abolishing health card of food handlers workers did not increase trends of foodborne illnesses and foodborne epidemics in Southern Italy. Examined data confirm the substantial effectiveness of food handlers self-control and training as essentials instruments of Evidence Based Prevention

A HPC and Grid enabling framework for genetic linkage analysis of SNPs

Understanding the structure, function and development of the human genome is a key factor to improve the quality of life. In order to achieve this goal developing and using a modern ICT infrastructure is essential, and can exploit next generation High Performance Computing (HPC) systems beyond the Petaflop scale in a collaborative and efficient way. The genetic linkage analysis of Single Nucleotide Polymorphism (SNP) markers has recently become a very popular approach for genetic epidemiology and population studies, aiming to discover the genetic correlation in complex diseases. The high computational cost and memory requirements of the major algorithms proposed in the literature make analyses of medium/large data sets very hard on a single CPU. A Grid based facility has hence been set up upon a high-performance infrastructure, the EGEE Grid, in order to create a tool for achieving whole-genome linkage analysis

A HPC and Grid enabling framework for genetic linkage analysis of SNPs

Understanding the structure, function and development of the human genome is a key factor to improve the quality of life. In order to achieve this goal developing and using a modern ICT infrastructure is essential, and can exploit next generation High Performance Computing (HPC) systems beyond the Petaflop scale in a collaborative and efficient way. The genetic linkage analysis of Single Nucleotide Polymorphism (SNP) markers has recently become a very popular approach for genetic epidemiology and population studies, aiming to discover the genetic correlation in complex diseases. The high computational cost and memory requirements of the major algorithms proposed in the literature make analyses of medium/large data sets very hard on a single CPU. A Grid based facility has hence been set up upon a high-performance infrastructure, the EGEE Grid, in order to create a tool for achieving whole-genome linkage analysis

Inverser le consensus sur la désertification en Méditerranée.

Cet article est la conclusion de l'ouvrage "Recents dynamics of the Mediterranean vegetation and landscape" publié en 2004 par les auteurs ainsi que par P. Di Martino et F. Rego, aux éditions John Wiley and Sons. Cette publication, dont il est fait plusieurs fois référence dans le texte, rassemble de nombreux artices écrits par des spécialistes de la dynamique végétale originaires de différents pays méditerranéens