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AbstractThroughout the European Union (EU), agricultural practices contribute significantly to the pollution of water resources by nitrates, phosphorus and pesticides. This article sheds light on the degree of horizontal legal coherence between the main EU legal and policy instruments applicable to the protection of water resources from agricultural pollution. After identifying key coherence challenges at the EU level, the article thoroughly assesses the regulatory and governance approach in Norway. The key question is how certain EU‐level coherence challenges could be mitigated at a national level through mechanisms aimed at facilitating cross‐sectoral coordination and policy coherence. Three types of mechanisms have been selected for this purpose: (i) legal mechanisms, including cross‐referencing and joint institutional responsibility for implementation; (ii) the establishment of platforms for cross‐sectoral policy coordination or actor participation; and (iii) the establishment of monitoring and reporting processes that ensure access to information and data sharing.

To improve the adherence of future R&I activities, Ben@Rail shall develop a framework based on a stakeholder analysis and technological inputs. To achieve the final goal of assessing the benefits of the stakeholders from future R&I activities, the technological inputs will in the final stage be compared and weighted against the stakeholder requirements. This will allow to verify the research priorities within the upcoming Europe’s Rail Joint Undertaking (ERJU). This document provides a structured overview of the R&I objectives given by the research plans published by the European Rail Research Advisory Council (ERRAC) and the ERJU, and with this delivers the technical inputs for the comparison with the stakeholder requirements defined in Deliverable D1.1 “Simplified stakeholder tree and weighting matrix of requirements”. The objectives have been extracted from different documents, with a main focus on the “Europe’s Rail Joint Undertaking Master Plan” (MP) and the “Europe’s Rail Joint Undertaking Multi-Annual Work Programme” (MAWP). Additonal documents, published by other Shift2Rail research projects, like TER4RAIL and Mobility4EU, or representatives of other transport sectors, have been examined as well.

«Νέες τεχνολογίες και ρομποτική στην Έρευνα και Διάσωση» #SearchAndRescue #ICT #Robotics #AI #lecture Περιεχόμενα: Επιχειρήσεις Έρευνας και Διάσωσης σε αστικό περιβάλλον / προβλήματα και τεχνολογικά «κενά» / Άξονας 1: τεχνολογίες για την ασφάλεια του διασώστη / Άξονας 2: τεχνολογίες εντοπισμού θυμάτων / Άξονας 3: τεχνολογίες τηλεπικοινωνιών και συντονισμού / «έξυπνες» ρομποτικές τεχνολογίες για έρευνα σε ερείπια / Μελέτη περιπτώσεων από ερευνητικά προγράμματα EU Horizon 2020. Επίπεδο γνώσεων (από): Οποιοδήποτε Προαπαιτούμενα: Κανένα

Body size is a master trait in aquatic ecosystems to complement traditional taxonomic diversity measures. Based on a dataset of fish communities from 40 Turkish lakes covering a wide environmental gradient and continental to dry cold steppe to Mediterranean climates, we elucidated the key variables controlling size diversity, geometric mean length and number of size classes in the fish community. We further examined how these three size measures were related to species diversity and species richness. A GLM analysis revealed that both size diversity and the number of sizes were strongly related to taxonomic diversity and richness. Furthermore, fish size diversity decreased with decreasing annual precipitation, while the number of size classes increased with increasing lake area but decreased with increasing salinity. The geometric mean length of fish decreased with total nitrogen and increased with altitude. The inter-relatedness between the number of size classes and lake area suggests an increase in fish niches with increasing ecosystem size, while fish are smaller and have fewer size classes in lakes with higher salinity. We conclude that size measures provide valuable integrating information on lake fish diversity; thus, they may complement, but not replace, more traditional taxonomic fish measures.

Managing and sharing data during a research project has clear advantages. It allows one to quickly find and understand the data when one needs to use it. It also gives continuity if project staff leave or new researchers join, and it avoids unnecessary duplication. A Data Management Plan (DMP) helps to save time and effort and makes the research and data-sharing process easier. By considering in advance what data will be created and how one can organize the necessary support concerning personal data and compliance with the General Data Protection Regulation (GDPR) and the UK General Data Protection Regulation (UK GDPR) legislations and protection of individual Intellectual Property Rights (IPR).

The set-based estimation has gained a lot of attention due to its ability to guarantee state enclosures for safety-critical systems. However, collecting measurements from distributed sensors often requires outsourcing the set-based operations to an aggregator node, raising many privacy concerns. To address this problem, we present set-based estimation protocols using partially homomorphic encryption that preserve the privacy of the measurements and sets bounding the estimates. We consider a linear discrete-time dynamical system with bounded modeling and measurement uncertainties. Sets are represented by zonotopes and constrained zonotopes as they can compactly represent high-dimensional sets and are closed under linear maps and Minkowski addition. By selectively encrypting parameters of the set representations, we establish the notion of encrypted sets and intersect sets in the encrypted domain, which enables guaranteed state estimation while ensuring privacy. In particular, we show that our protocols achieve computational privacy using the cryptographic notion of computational indistinguishability. We demonstrate the efficiency of our approach by localizing a real mobile quadcopter using ultra-wideband wireless devices. Comment: This paper is accepted at the European Journal of Control

CDK7 and FynB protein kinases have been recognized as relevant targets for cancer and brain diseases treatment due to their pivotal regulatory roles in cellular functions such as cell cycle and neural signal transduction. Several studies demonstrated that the inhibition of these proteins could be useful in altering the onset or progression of these diseases. Based on bioassay-guided approach, the extract of the marine sponge Lendenfeldia chondrodes (Thorectidae), which exhibited interesting kinase inhibitory activities, was fractionated. The investigation led to the isolation of five known 1–5 and one new 6 polybrominated diphenyl ethers (PBDEs). Their structure elucidation was established based on spectroscopic data (NMR and HRMS) and comparison with literature data.