Life-stage dependent response of the epiphytic lichen Lobaria pulmonaria to climate

Lichens are poikilohydric organisms, whose internal water content tends to reflect external humidity conditions. After drying, they can reactivate their metabolic activity through water vapor uptake or liquid water input. Thus, lichen water-related functional traits are important as they are involved in the duration of the hydrated period. Models predicting the effect of environmental conditions on lichens are based mainly on the presence or absence of adult thalli. Nevertheless, ecological conditions required by lichens might vary during their life cycle, for example during propagule establishment or in the first stages of thallus development. Little is known about the different ecological requirements at the different development stages in lichens. In this work, we measured water holding capacity (WHC) and specific thallus mass (STM) of adult and juvenile thalli of the model species Lobaria pulmonaria along a climatic gradient to constrain the processbased model LiBry. The LiBry model allows accounting for the productivity of lichens with different physiological strategies under various environmental conditions. We simulated the activity and performance of adult and juvenile thalli in 9 regions of Italy and Corsica. The model was used to test if adult thalli of L. pulmonaria have a higher survival probability due to their higher aerodynamic resistance. In the current climatic condition, the LiBry model predicts a higher survival probability of adults with decreasing absolute survival rates of both life stages with increasing temperature. Adult thalli also result in having higher active time, STM, and relative growth rate (RGR). We discuss the main implications of our simulation outputs, provide future perspectives and possible implementations of the LiBry mode

Comparison between balloon angioplasty and additional coronary stent implantation for the treatment of drug-eluting stent restenosis: 18-month clinical outcomes

OBJECTIVE: To evaluate the long-term outcomes after different modalities of treatment of drug-eluting stent (DES) in-stent restenosis (ISR) in a 'real world' setting. METHODS: Actually, few and conflicting data are available about the management of in-stent restenosis (ISR) after DES implantation. In our 'real world' registry 1082 consecutive patients who received a DES implantation were included. At 9-month angiographic follow-up, 93 patients presented a DES ISR that was treated with 'homo-DES' (HMD) (N = 27), 'hetero-DES' (HTD) (N = 19) and conventional balloon angioplasty (POBA) (N = 47). We evaluated the clinical outcomes in terms of major adverse cardiac event (MACE) (death, myocardial infarction and target vessel revascularization) at 18 months. RESULTS: There was no difference for clinical and angiographic characteristics between the three groups, except for the presence of silent ischaemia as clinical presentation (7.7 HMD vs. 2.2% POBA; P = 0.0001). No late stent thrombosis was found. At 18-month clinical follow-up patients treated with HMD, HTD and POBA presented a rate of MACE of 10.2, 0 and 8.7%, respectively (P = NS). Kaplan-Meier survival probability showed that HTD and POBA treatment tended to have more favourable outcomes at 18 months than the HMD treatment. CONCLUSION: In our registry, POBA seems to be as effective as other DES implantations in cases of DES ISR, especially in cases of focal type (Mehran classification IA, IC), in terms of long-term outcomes

Identification and description of relationships between actors involved in crop diversification experiences across Europe

Agriculture can benefit from crop diversification to facilitate its transition to more sustainable agrifood systems. However, these practices remain rare in Europe. One major barrier is the existence of sociotechnical lock-ins. To clarify the dynamics at work, we analyzed the relationships between actors involved in 23 crop diversification experiences across 11 European countries. The novelty of this paper lies in the systemic analysis of the network of actors involved in crop diversification experiences. Using data from qualitative interviews and cognitive mapping approaches, we identify and describe the role of actors and the key relationships in crop diversification and detect relationships that are currently missing. Our study shows that in the different European countries, similar relationships act as levers or barriers to crop diversification, with farmers and researchers playing a crucial role. The most important cognitive factors that influence the choice of farmers to diversify are environmental and health concerns and the desire to make profit and innovate. We relate the cognitive factors to organizational, technical, economic, and political factors and suggest levers for crop diversification based on successful crop diversification experiences

Using Big Data Technologies for HEP Analysis

The HEP community is approaching an era were the excellent performances of the particle accelerators in delivering collision at high rate will force the experiments to record a large amount of information. The growing size of the datasets could potentially become a limiting factor in the capability to produce scientific results timely and efficiently. Recently, new technologies and new approaches have been developed in industry to answer to the necessity to retrieve information as quickly as possible to analyze PB and EB datasets. Providing the scientists with these modern computing tools will lead to rethinking the principles of data analysis in HEP, making the overall scientific process faster and smoother. In this paper, we are presenting the latest developments and the most recent results on the usage of Apache Spark for HEP analysis. The study aims at evaluating the efficiency of the application of the new tools both quantitatively, by measuring the performances, and qualitatively, focusing on the user experience. The first goal is achieved by developing a data reduction facility: working together with CERN Openlab and Intel, CMS replicates a real physics search using Spark-based technologies, with the ambition of reducing 1 PB of public data in 5 hours, collected by the CMS experiment, to 1 TB of data in a format suitable for physics analysis. The second goal is achieved by implementing multiple physics use-cases in Apache Spark using as input preprocessed datasets derived from official CMS data and simulation. By performing different end-analyses up to the publication plots on different hardware, feasibility, usability and portability are compared to the ones of a traditional ROOT-based workflow

FUSIONS Definitional Framework for Food Waste

none21To develop reliable food waste estimates, which can be accurately repeated over time, it is necessary to produce data within a robust methodological framework. This must comprise a consistent definition of food waste and its components, and consistent system boundaries for the food supply chain. The absence of a framework for defining food waste to date has led to the production of datasets that are not always comparable or transparent as to which fractions are included. A common definitional framework will support policy-makers at both EU and Member State level, and stakeholders across the food supply chain, by enabling them to accurately track the rate of food waste reduction, and the effectiveness of their waste prevention strategies. The development of this framework for defining food waste signals a key step towards improving our understanding of the food waste challenge in Europe and its consistent use will help measure progress towards both resource efficiency and food security goals.openKarin Östergren; Jenny Gustavsson; Hilke Bos-Brouwers; Toine Timmermans; Ole-Jørgen Hansen; Hanne Møller; Gina Anderson; Clementine O’Connor; Han Soethoudt; Tom Quested; Sophie Easteal; Alessandro Politano; Cecilia Bellettato; Massimo Canali; Luca Falasconi; Silvia Gaiani; Matteo Vittuari; Felicitas Schneider; Graham Moates; Keith Waldron; Barbara RedlingshöferKarin Östergren; Jenny Gustavsson; Hilke Bos-Brouwers; Toine Timmermans; Ole-Jørgen Hansen; Hanne Møller; Gina Anderson; Clementine O’Connor; Han Soethoudt; Tom Quested; Sophie Easteal; Alessandro Politano; Cecilia Bellettato; Massimo Canali; Luca Falasconi; Silvia Gaiani; Matteo Vittuari; Felicitas Schneider; Graham Moates; Keith Waldron; Barbara Redlingshöfe

Identification and description of relationships between actors involved in crop diversification experiences across Europe

Agriculture can benefit from crop diversification to facilitate its transition to more sustainable agrifood systems. However, these practices remain rare in Europe. One major barrier is the existence of sociotechnical lock-ins. To clarify the dynamics at work, we analyzed the relationships between actors involved in 23 crop diversification experiences across 11 European countries. The novelty of this paper lies in the systemic analysis of the network of actors involved in crop diversification experiences. Using data from qualitative interviews and cognitive mapping approaches, we identify and describe the role of actors and the key relationships in crop diversification and detect relationships that are currently missing. Our study shows that in the different European countries, similar relationships act as levers or barriers to crop diversification, with farmers and researchers playing a crucial role. The most important cognitive factors that influence the choice of farmers to diversify are environmental and health concerns and the desire to make profit and innovate. We relate the cognitive factors to organizational, technical, economic, and political factors and suggest levers for crop diversification based on successful crop diversification experiences

The ATLAS EventIndex: a BigData catalogue for all ATLAS experiment events

The ATLAS EventIndex system comprises the catalogue of all events collected, processed or generated by the ATLAS experiment at the CERN LHC accelerator, and all associated software tools to collect, store and query this information. ATLAS records several billion particle interactions every year of operation, processes them for analysis and generates even larger simulated data samples; a global catalogue is needed to keep track of the location of each event record and be able to search and retrieve specific events for in-depth investigations. Each EventIndex record includes summary information on the event itself and the pointers to the files containing the full event. Most components of the EventIndex system are implemented using BigData open-source tools. This paper describes the architectural choices and their evolution in time, as well as the past, current and foreseen future implementations of all EventIndex components.Comment: 21 page

Assessment of animal diseases caused by bacteria resistant to antimicrobials: cattle

In this opinion, the antimicrobial resistant bacteria responsible for transmissible diseases that constitute a threat to the health of cattle have been assessed. The assessment has been performed following a methodology based on information collected by an extensive literature review and expert judgement. Details of the methodology used for this assessment are explained in a separate opinion. A global state of play on antimicrobial resistance in clinical isolates of Escherichia coli (non-VTEC), Klebsiella pneumoniae, Staphylococcus aureus, Streptococcus uberis, Streptococcus dysgalactiae, Pasteurella multocida, Mannheimia haemolytica, Histophilus somni, Mycoplasma bovis, Moraxella bovis, Fusobacterium necrophorum and Trueperella pyogenes is provided. Among those bacteria, EFSA identified E. coli and S. aureus with ≥ 66% certainty as being the most relevant antimicrobial resistant bacteria in cattle in the EU based on the available evidence. The animal health impact of these most relevant bacteria, as well as their eligibility for being listed and categorised within the animal health law framework will be assessed in separate scientific opinions.info:eu-repo/semantics/publishedVersio

Assessment of animal diseases caused by bacteria resistant to antimicrobials: Dogs and cats

In this opinion the antimicrobial-resistant bacteria responsible for transmissible diseases that constitute a threat to dog and cat health have been assessed. The assessment has been performed following a methodology based on information collected via an extensive literature review and expert judgement. Details of the methodology used for this assessment are explained in a separate opinion. A global state of play of antimicrobial resistant Staphylococcus pseudintermedius, Staphylococcus aureus, Staphylococcus schleiferi, Escherichia coli, Proteus mirabilis, Klebsiella spp., Enterobacter spp., Pseudomonas aeruginosa, Clostridium perfringens, Clostridioides difficile, Enterococcus faecalis and Enterococcus faecium has been provided. Among those bacteria, EFSA identified S. pseudintermedius, E. coli and P. aeruginosa with > 90% certainty as the most relevant antimicrobial resistant bacteria in the EU based on the available evidence. The animal health impact of these most relevant bacteria, as well as their eligibility for being listed and categorised within the animal health law framework will be assessed in separate scientific opinions.info:eu-repo/semantics/publishedVersio