University of Perugia is a public-owned university based in Perugia, Italy. It was founded in 1308, as attested by the Bull issued by Pope Clement V certifying the birth of the Studium Generale.The official seal of the university portraits Saint Herculan, one of the saint patrons, and the rampant crowned griffin, which is the city symbol: they represent the ecclesiastical and civil powers, respectively, which gave rise to the university in the Middle Ages. Wikipedia.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: DRS-11-2015 | Award Amount: 6.56M | Year: 2016
HERACLES main objective is to design, validate and promote responsive systems/solutions for effective resilience of CH against climate change effects, considering as a mandatory premise an holistic, multidisciplinary approach through the involvement of different expertise (end-users, industry/SMEs, scientists, conservators/restorators and social experts, decision, and policy makers). This will be operationally pursued with the development of a system exploiting an ICT platform able to collect and integrate multisource information in order to effectively provide complete and updated situational awareness and support decision for innovative measurements improving CH resilience, including new solutions for maintenance and conservation. The HERACLES effectiveness will be ensured by the design and validation of manageable methodologies also for the definition of operational procedures and guidelines for risk mitigation and management. It will be validated in two challenging test beds, key study cases for the climate change impact on European CH assets. The strength of HERACLES solutions is their flexibility in evaluating a big quantity of different information that can be changed and tailored to the specific CH assets needs, guaranteeing in that way a general applicability. In this context, a fundamental role will be played by end-users, which will be active part in the project activities. HERACLES system will be designed and developed by accounting for the economic sustainability and future acceptance by the market and for the social and economic impact for public and local communities while respecting the integrity of CH and the value it hold for communities. Effective technological transfer of HERACLES outcomes to large companies, SMEs and end users, suitable dissemination, communication, education and training activities are also organized to disseminate vision and progresses obtained to different communities, in a vision of wide audiences awareness.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: SC1-PM-04-2016 | Award Amount: 10.19M | Year: 2017
HarmonicSS vision is to create an International Network and Alliance of partners and cohorts, entrusted with the mission of addressing the unmet needs in primary Sjogren Syndrome; working together to create and maintain a platform with open standards and tools, designed to enable secure storage, governance, analytics, access control and controlled sharing of information at multiple levels along with methods to make results of analyses and outcomes comparable across centers and sustainable through Rheumatology associations. The overall idea of the HarmonicSS project is to bring together the largest well characterized regional, national and international longitudinal cohorts of patients with Primary Sjgrens Syndrome (pSS) including those participating in clinical trials, and after taking into consideration the ethical, legal, privacy and IPR issues for sharing data from different countries, to semantically interlink and harmonize them into an integrative pSS cohort structure on the cloud. Upon this harmonized cohort, services for big data mining, governance and visual analytics will be integrated, to address the identified clinical and health policy pSS unmet needs. In addition, tools for specific diagnostic procedures (e.g. ultrasonography image segmentation), patient selection for clinical trials and training will be also provided. The users of the HarmonicSS platform are researchers (basic/translational), clinicians, health policy makers and pharma companies. pSS is relevant not only due to its clinical impact but also as one of the few model diseases to link autoimmunity, cancer development (lymphoproliferation) and the pathogenetic role of infection. Thus, the study of pSS can facilitate research in many areas of medicine; for this reason, the possibility for sustainability and expandability of the platform is enhanced. Moreover, pSS has a significant impact on the healthcare systems, similar to that of rheumatoid arthritis.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: NMBP-01-2016 | Award Amount: 7.59M | Year: 2017
Objectives The H-CCAT project designs, upscales and shapes hybrid catalysts for the C-H functionalization of aromatic compounds. These solid catalysts will possess better recoverability, higher turnover numbers and better selectivity than current homogeneous catalysts for these reactions. The solid catalysts are applied at demonstration scale in the step-economical production of arylated or alkenylated aromatics, yielding motifs of active pharmaceutical ingredients. Methodology We will design heterogeneous hybrid catalysts featuring deactivation-resistant active sites, based on N-heterocyclic carbenes (NHCs) or diimine ligands and active metal ions. Via efficient, one-step protocols based on self-assembly, these sites will be embedded in robust porous hybrid materials like hybrid silica or metal-organic frameworks. Deactivation or metal aggregation will be prevented by site isolation or by efficient metal reoxidation (for the oxidative alkenylations). Metal leaching is precluded by using strong bonds between metals and embedded ligands like NHCs. Flow protocols will be designed to maximize the turnover numbers. Catalyst synthesis will be scaled up to kg scale, using efficient one-step protocols, minimizing use of solvents or waste formation. Soft shaping methods, e.g. spray drying, will preserve porosity and activity of the hybrid solids. A demonstration is conducted at minipilot scale at the J&J site (Belgium), allowing LCA analysis, techno-economic assessment and elaboration of the business plan. Relevance to work program The catalysts feature new, deactivation resistant active sites; their TOF/TON is maximized by an appropriate porous structure which even can be swelling. Catalysts are produced using innovative one-step protocols to form porous hybrid catalysts as powders or even immediately as shaped objects. The molecules targeted have strong biological and pharmaceutical relevance; they target diseases like influenza, cancer or HIV (case study: Rilpivirine).
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2016 | Award Amount: 3.81M | Year: 2016
The NDTonAIR consortium involves Universities, Research Organisations and major European companies working on new Non-Destructive Testing (NDT) and Structural Health Monitoring (SHM) techniques for aerospace, of which both are key technologies. The goal is to train a new generation of scientists and engineers with a wide background of theoretical and experimental skills, capable of developing their research and entrepreneurial activities both in academy and industry and playing an active role in promoting the importance of quality inspection and structural monitoring in aerospace components. The objective of the training programme is to provide the recruited researchers with an extensive and varied training on: (1) Fundamentals skills for NDT and SHM through participation in short-courses and seminars organized by the Consortium; (2) NDT and SHM Techniques for Aerospace through research training at host institutions and participation in Workshops and Conferences organized by the Consortium and major international research associations; (3) Technology Transfer and Entrepreneurship through participation in short-courses and seminars organized by the Consortium. The objective of the research programme is to consolidate and innovate current NDT and SHM techniques for Aircraft inspection by (1) investigating new physical phenomena and sensors; (2) developing analytical and numerical models to correlate the results of inspection with material properties; (3) quantifying NDT techniques through their probability of detecting reference defects; (4) developing procedures for the automatic detection and classification of defects; (5) transferring these results to industry. The members of the Consortium will work together for realizing this training programme and scientific collaboration will be stimulated by secondment of the recruited researchers and it will be aimed at improving the integration and comparison of different NDT techniques.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: SFS-14a-2014 | Award Amount: 5.35M | Year: 2016
The OLEUM project will generate innovative, more effective and harmonized analytical solutions to detect and fight the most common and emerging frauds and to verify the overall quality of olive oils (OOs). By a core group of 20 partners from 15 countries OLEUM will undertake RESEARCH ACTIVITIES based on the development of IMPROVED and NEW ANALYTICAL METHODS by targeted and omics approaches with the aim: i) to detect new markers of the soft deodorization process; ii) to discover illegal blends between OOs and other vegetable oils; iii) to control OO quality (e.g. freshness); iv) to improve the organoleptic assessment with a Quantitative Panel Test, based on current official methods, and supported by tailored reference materials for better calibration of the sensory panels coupled with rapid screening tools to facilitate the work of the panelists. The most promising OLEUM solutions will be subjected to VALIDATION in conformity with internationally agreed standards by peer laboratories. OLEUM will recreate a realistic deodorization scenario by producing tailored, soft deodorized OOs by lab-scale and up-scaled pilot plants to apply analytical solutions to known samples. Substantial KNOWLEDGE and TECHNOLOGY TRANSFER activities will be envisaged to aid in implementation of: a) a web-based easily-accessible, scalable and constantly updated OLEUM DATABANK, containing all the information from OLEUM research and other reliable international sources, will be available for download data and spectra and to help achieve satisfactory harmonization of analytical approaches among control laboratories; b) the OLEUM NETWORK of relevant OOs stakeholders to maximize the impact of proposed analytical solutions. Finally, a robust dissemination strategy by the OLEUM project aimed at effectively sharing results with all stakeholders in the OO supply chain has the potential to improve consumer and market confidence, and preserve the image of OOs on a global scale.
Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2016 | Award Amount: 1.86M | Year: 2017
The project trans-making aims to establish a multilateral network of research and innovation staff active in the fields of placemaking/place-based art activities as a space to create alternative narratives for social, economic and democratic renewal. It will investigate and experiment with placemaking to contribute actively to the democratization/well-being of society, educating and empowering individuals and disadvantaged minorities through research and production in the connection between art and new technologies. The objective is to strengthen research capacities, through exchange of knowledge and expertise between academic and non-academic partners from Europe and Third Countries in a shared research programme focused on: collecting, documenting / Exploring, experimenting / Performing / Designing. Trough those work programme of Research and Innovation, the consortium, academic and non-academics partners, aims to foster links between art and culture, economy, democracy and innovation at EU level and beyond. To foster entrepreneurial skills, risk taking adaptability, innovation capacity (economic, social and democratic). And it will contribute actively to education and empowerment of individuals and disadvantaged minorities trough research and production between art and new technologies. The project through its consortium will be to foster a better understanding and knowledge sharing between scientific community, stakeholders and policy-makers. Which will be achieved with the respective networks of the involved partners. The final aim of trans-making will be to establish a long term collaboration among the partners in order to have a scientific and innovative worldwide community devoted to the research, (including art-based research), innovation, education activity in the matters concerned by the project. Moreover, the proposed measures of the project will be conceived in order to have the widest possible impact of the society.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETPROACT-01-2016 | Award Amount: 5.99M | Year: 2017
Guaranteed numerical precision of each elementary step in a complex computation has been the mainstay of traditional computing systems for many years. This era, fueled by Moores law and the constant exponential improvement in computing efficiency, is at its twilight: from tiny nodes of the Internet-of-Things, to large HPC computing centers, sub-picoJoule/operation energy efficiency is essential for practical realizations. To overcome the power wall, a shift from traditional computing paradigms is now mandatory. OPRECOMP aims at demolishing the ultra-conservative precise computing abstraction and replacing it with a more flexible and efficient one, namely transprecision computing. OPRECOMP will investigate the theoretical and practical understanding of the energy efficiency boost obtainable when accuracy requirements on data being processed, stored and communicated can be lifted for intermediate calculations. While approximate computing approaches have been used before, in OPRECOMP for the first time ever, a complete framework for transprecision computing, covering devices, circuits, software tools, and algorithms, along with the mathematical theory and physical foundations of the ideas will be developed that not only will provide error bounds with respect to full precision results, but also will enable major energy efficiency improvements even when there is no freedom to relax end-to-end application quality-of-results. The mission of OPRECOMP is to demonstrate using physical demonstrators that this idea holds in a huge range of application scenarios in the domains of IoT, Big Data Analytics, Deep Learning, and HPC simulations: from the sub-milliWatt to the MegaWatt range, spanning nine orders of magnitude. In view of industrial exploitation, we will prove the quality and reliability and demonstrate that transprecision computing is the way to think about future systems.
Balucani N.,University of Perugia
Chemical Society Reviews | Year: 2012
Gas-phase reactions involving atomic nitrogen in the ground 4S and first excited 2D electronic states with simple hydrocarbons or hydrocarbon radicals lead to the formation of prebiotic N-containing organic molecules. These reactions are now active in the upper atmosphere of Titan (a massive moon of Saturn) and might have played an important role in nitrogen fixation in the primitive upper terrestrial atmosphere, assuming that it is similar to the present atmosphere of Titan. The products of these reactions (nitriles, imines and radicals) are the precursors of larger N-containing molecules, which form the dense haze aerosols that completely cover the moon of Saturn. If anything similar to Titan's haze has ever existed on our planet, it is reasonable to imagine that, once deposited on the surface of the oceans, further chemical evolution might have transformed these molecules into aminoacids and nucleobases, the molecular building blocks of living entities. The experimental techniques necessary to investigate these reactions in detail are presented and the main results reviewed. © 2012 The Royal Society of Chemistry.
Momi S.,University of Perugia
Blood | Year: 2013
Thrombolytic therapy is the cornerstone of treatment of acute atherothrombotic ischemic stroke but is associated with brain hemorrhage; antiplatelet therapy has limited efficacy and is still associated with intracranial bleeding. Therefore, new antithrombotic approaches with a better efficacy/safety ratio are required. We have assessed the effect of ALX-0081, a Nanobody against the A1 domain of von Willebrand factor (VWF) that blocks VWF binding to GPIb, of the thrombolytic agent recombinant tissue plasminogen activator (rtPA), and of the GPIIb/IIIa antagonist tirofiban, in a middle cerebral artery (MCA) thrombosis model in guinea pigs. Drugs were administered before, immediately after, or 15 or 60 minutes after the total occlusion of the MCA. ALX-0081 prevented MCA thrombosis and induced reperfusion when given immediately after and 15 minutes after complete occlusion and reduced brain damage without inducing hemorrhage, whereas tirofiban prevented thrombosis but did not induce reperfusion and induced striking brain hemorrhage. rtPA also induced reperfusion when given 60 minutes after occlusion but provoked brain hemorrhage. Skin bleeding time was not modified or was moderately prolonged by ALX-0081, whereas tirofiban and rtPA prolonged it. The inhibition of the GPIb-VWF axis in guinea pigs prevents cerebral artery thrombosis and induces early reperfusion without provoking intracerebral bleeding thus reducing brain infarct area.
Scrucca L.,University of Perugia
Journal of Statistical Software | Year: 2013
Genetic algorithms (GAs) are stochastic search algorithms inspired by the basic principles of biological evolution and natural selection. GAs simulate the evolution of living organisms, where the fittest individuals dominate over the weaker ones, by mimicking the biological mechanisms of evolution, such as selection, crossover and mutation. GAs have been successfully applied to solve optimization problems, both for continuous (whether differentiable or not) and discrete functions. This paper describes the R package GA, a collection of general purpose functions that provide a flexible set of tools for applying a wide range of genetic algorithm methods. Several examples are discussed, ranging from mathematical functions in one and two dimensions known to be hard to optimize with standard derivative-based methods, to some selected statistical problems which require the optimization of user defined objective functions. (This paper contains animations that can be viewed using the Adobe Acrobat PDF viewer.).