Girona, Spain
Girona, Spain

The University of Girona is located in the city of Girona, Catalonia, Spain.It was founded in 1991, and as of 2010 consists of several campus and buildings across Girona: Montilivi, Barri Vell, Centre, Mercadal and Parc Científic i Tecnològic. A sixth one, Campus de Ciències de la Salut, will be built in the near future. Since its founding, the university has had 4 presidents : Josep Maria Nadal i Farreras, from 1991 to 2002, Joan Batlle i Grabulosa from 2002 to 2005, Anna Maria Geli from 2005 to 2013, and Sergi Bonet since 2013 . Wikipedia.


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Patent
University of Girona, Institute Dinvestigacio Biomedica Of Girona Dr Josep Trueta and Goodgut S.L. | Date: 2017-02-15

The present invention relates to the field of diagnosis and classification of intestinal diseases. It further relates to the field of microbiology, more particularly it relates to the relationship between intestinal microbiota composition and inflammatory bowel disease (IBD). Specifically it relates to a method for detecting intestinal diseases, in a human subject comprising determining the abundance of Faecalibacterium prausnitzii phylogroup I members (PHGI) and/or Faecalibacterium prausnitzii phylogroup II members (PHGII) in an intestinal sample from said subject. It further relates to a method for the differential diagnosis of inflammatory bowel disease (IBD) phenotypes in a human subject comprising determining the abundance of a target microorganism in an intestinal sample from said subject, wherein said target microorganism is selected from the group consisting of Faecalibacterium prausnitzii members (total FP), Faecalibacterium prausnitzii phylogroup I members (PHGI) and Faecalibacterium prausnitzii phylogroup II members (PHGII).


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: WATER-1b-2015 | Award Amount: 8.13M | Year: 2016

INNOQUA will accelerate the path to market of a modular set of innovative, patent protected, award winning and scalable fully ecological sanitation solutions that address wide market needs in rural communities, for agricultural industries, for sustainable home-builders or collective housing owners and for developing countries worldwide. The modular system is based on the purification capacity of biological organisms (worms, zooplankton and microorganism) and sorption materials bringing ecological, safe and affordable sanitation capacity where it is needed most while fully addressing the thematic and cross cutting priorities of the EIP on Water. We will perform demonstration scale deployment and resulting exploitation of the system to include commercial development, technology integration, eco-design, controlled environment pilots (in NUI Galway facilities in Ireland and UDG facilities in Spain), real use demo sites and market uptake preparation in several EU and non-EU countries (France, Italy, Ireland, Romania, UK, Ecuador, Peru, India and Tanzania), and further preparation for post project uptake. Such an integrated solution is innovative and has not been employed in the past. This integrated but modular solution for the final reuse of wastewater is particularly attractive for small to medium remote water stressed European communities with high water demand for either agriculture and/or the conservation of natural freshwater ecosystems. The system is aimed at being a sustainable solution for zero wastewater production with the complete reuse of wastewater. The system is ideal for small to medium scale situations where an integrated solution for the treatment of wastewater is required to reduce the waste directed to surface freshwaters for the attainment of good quality water, as stated by the Water Framework Directive. The robust but efficient technologies are also ideal for deployment in markets where resources are limited and skilled staff unavailable.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: EeB-07-2015 | Award Amount: 7.91M | Year: 2015

Measurement campaigns have shown major discrepancies in buildings energy performance between planned energy demand and real energy consumption, while nowadays most of the newly constructed offices buildings are equipped with BMS systems, integrating a more or less extended measurement layer providing large amounts of data. Their integration in the building management sector offers an improvement capability of 22 % as some studies demonstrate. The HIT2GAP project will develop a new generation of building monitoring and control tools based on advanced data treatment techniques allowing new approaches to assess building energy performance data, getting a better understanding of buildings behaviour and hence a better performance. From a strong research layer on data, HIT2GAP will build on existing measurement and control tools that will be embedded into a new software platform for performance optimization. The solution will be: - Fully modular: able to integrate several types and generations of data treatment modules (different algorithms) and data display solutions, following a plug and play approach - Integrating data mining for knowledge discovery (DMKD) as a core technique for buildings behaviour assessment and understanding The HIT2GAP solution will be applied as a novel intelligent layer offering new capability of the existing BMS systems and offering the management stakeholders opportunities for services with a novel added value. Applying the solutions to groups of buildings will also allow to test energy demand vs. local production management modules. This will be tested in various pilot sites across Europe. HIT2GAP work will be realized with a permanent concern about market exploitation of the solutions developed within the project, with specific partnerships about business integration of the tools in the activity of key energy services partners of the consortium.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: YOUNG-1-2014 | Award Amount: 2.92M | Year: 2015

Through an innovative use of four key concepts (resilience, capability, active agency and negotiation) and primary data (life course interviews, vignette experiments), NEGOTIATE will deliver gender-sensitive comparative knowledge about consequences of early job insecurity. We move beyond the state-of-the-art by investigating the linkages across macro, meso and micro levels as mechanisms of early job insecurity. General labour market processes and a severe employment crisis currently define the macro level. The micro level is characterised by young people with unequal opportunities to influence individual job prospects. The organisation of meso level structures creates differential access to public and private support within and across countries. NEGOTIATEs core question is how young peoples scope for agency interacts with different layers of structural conditions in a multi-level governance system. By actively involving national and European stakeholders including young people NEGOTIATE will contribute to policies that promote the employability of young Europeans, thus maximising societal and scientific impact. We will observe the present, learn from the past and project the future to inform policies that help prevent early labour market exclusion and adverse effects of job insecurity in the short and long term, thereby leading Europe closer to the Europe 2020 goals. A trans-disciplinary Consortium of nine research institutions from BG, CZ, DE, EL, NO, PL, ES, CH, UK and one international CSO will implement NEGOTIATE. The participating countries are differently affected by the economic crisis and display historical variations across key institutional factors, such as welfare state arrangements, employment relations and youth transition regimes. The participation of SOLIDAR will strengthen NEGOTIATEs policy impact. Overall, the participants wide set of research skills enable a rich combination of advanced quantitative and qualitative comparative analyses.


Grant
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: H2020-TWINN-2015 | Award Amount: 999.20K | Year: 2016

INEST TEC is strongly committed to become a center of excellence in maritime technology and, in particular, deep sea technology. It is strategically located, with fast access to deep sea, it has been steadily building up its skills, capabilities and resources, and is presently in the process of implementing an open research infrastructure, thus preparing itself to become capable of providing services and open access to the European academic and industrial communities and, thus, become a recognized European maritime research asset. This proposal thus aims at creating solid and productive links in the global field of marine science and technology between INESC TEC and established leading research European institutions, capable of enhancing the scientific and technological capacity of INESC TEC and linked institutions (as well as the capacity of partnering institutions involved in the twinning action), helping raising its staffs research profile and its recognition as an European maritime research center of excellence. These objectives will be fulfilled through a set of measures: summer schools; winter schools; short-term scientific meetings; Long-term Staff visits; Networking meetings; Workshops; Conferences; technology transfer workshops with stakeholders; and other dissemination activities. Therefore this proposal addresses the challenges raised in the call H2020-TWINN-2015. In particular, it takes INESC TEC, a top level Portuguese institution, and places it as the pivot of a network of excellence, involving four European Partners which are international leaders in deep sea technology. By tackling the call challenge with the specific topic of deep sea technologies, STRONGMAR is aligned with several National and European priorities (The Portuguese Strategy for Smart Specialisation (2014); Portuguese National Ocean Strategy (2013); EU Commissions Atlantic Strategy (2011), etc.) establishing a consolidation path of INESC TECs strategy in these areas.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: PHC-28-2015 | Award Amount: 3.89M | Year: 2016

This proposal is for a personalised decision support system for chronic disease management that will make predictions based on real-time data in order to empower individuals to participate in the self-management of their disease. The design will involve users at every stage to ensure that the system meets patient needs and raises clinical outcomes by preventing adverse episodes and improving lifestyle, monitoring and quality of life. Research will be conducted into the development of an innovative adaptive decision support system based on case-based reasoning combined with predictive computer modelling. The tool will offer bespoke advice for self-management by integrating personal health systems with broad and various sources of physiological, lifestyle, environmental and social data. The research will also examine the extent to which human behavioural factors and usability issues have previously hindered the wider adoption of personal guidance systems for chronic disease self-management. It will be developed and validated initially for people with diabetes on basal-bolus insulin therapy, but the underlying approach can be adapted to other chronic diseases. There will be a strong emphasis on safety, with glucose predictions, dose advice, alarms, limits and uncertainties communicated clearly to raise individual awareness of the risk of adverse events such as hypoglycaemia or hyperglycaemia. The outputs of this research will be validated in an ambulatory setting and a key aspect will be innovation management. All components will adhere to medical device standards in order to meet regulatory requirements and ensure interoperability, both with existing personal health systems and commercial products. The resulting architecture will improve interactions with healthcare professionals and provide a generic framework for providing adaptive mobile decision support, with innovation capacity to be applied to other applications, thereby increasing the impact of the project.


Grant
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2015-ETN | Award Amount: 3.32M | Year: 2016

Transition metal catalysts are formidable tools towards greener chemistry, allowing for low-waste, energy-efficient, and selective reactions. However, the noble metals (Ru, Os, Rh, Ir, Pd, Pt) that are currently most common in homogeneous catalysts suffer from high toxicity and environmental impact in addition to their scarcity and ensuing high cost. First-row metals (Mn, Fe, Co, Ni, Cu) are emerging as environmentally benign alternatives, but to this day rarely equal the performance of their noble counterparts. The NoNoMeCat network aims at providing excellent and structured interdisciplinary training to a generation of young researchers in the field of Non-Noble Metal homogeneous Catalysis who will push the boundaries of the field in terms of catalyst stability, selectivity, mechanistic understanding, and scalability. These challenges are addressed in three areas of high fundamental and practical significance: the oxidation of hydrocarbons, the formation of new C-X bonds (C-C, C-N) bonds through cross-coupling reactions, and clean energy production. NoNoMeCat will enrol 14 Early Stage Researchers (ESRs) who will receive structured training in experimental and theoretical aspects of non-noble metal chemistry as well as transferable skills such as research integrity, scientific communication and public outreach. Tight integration of non-academic partners will expose all ESRs to aspects of both fundamental interdisciplinary research and industrial application, paving the way for long-standing intersectorial collaborations.


Grant
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: H2020-TWINN-2015 | Award Amount: 1.01M | Year: 2016

Laboratory for Underwater Systems and Technologies (LABUST) at the University of Zagreb Faculty of Electrical and Engineering (UNIZG-FER) in Croatia positioned itself in the last years as the regional leader in marine robotics: LABUST has the required technologies, people, infrastructure, and experience in field experiments. What LABUST is missing is research excellence that will allow it to fully exploit and bring available resources to a level compatible with internationally leading institutions in the area of marine robotics. The main goal of EXCELLABUST project is to address networking gaps and deficiencies between UNIZG-FER and internationally leading counterparts at EU level, by significantly strengthening marine robotics research within LABUST through twinning with expert partners. The first objective is to increase UNIZG-FER marine robotics scientific excellence and innovation capacity, and raise staffs research profile within three strategic research domains (SRDs) that are aligned with the Strategic Research Agenda for Robotics in Europe 2014 - 2020: 1) mapping and perception, 2) advanced navigation, guidance, and control, and 3) autonomy and cognition. The second objective is to increase UNIZG-FER scientific involvement and visibility. These objectives will be reached through a set of strategic measures: staff exchanges and expert visits for providing S&T knowledge transfer; on-site trainings for providing hands-on S&T experience; innovation management trainings; organization of research-industry workshops for strengthening links to marine robotics industry; and joint organization of summer schools with strong emphasis on application of marine robotics for strengthening links to marine robotics end-users from marine biology, marine archaeology, oceanography, marine security, etc. In order to measure the quality of the twinning action, key impact indicators are defined and they will be monitored during and after the EXCELLABUST project lifetime.


Costas M.,University of Girona
Coordination Chemistry Reviews | Year: 2011

Selective oxidation of saturated C-H bonds remains a challenge in modern chemistry. The inert nature of such bonds requires the use of highly reactive reagents, and this poses major challenges in terms of chemo, regio and stereoselectivity. Metalloporphyrins based in iron, manganese and ruthenium constitute a unique family of catalysts capable of generating these highly reactive, but at the same time highly selective oxidants, thus exquisitely mediating selective oxidations of C-H bonds. The mechanisms underlying these reactions are collected and discussed in the present work. Recent advances in the application of these catalysts in the oxidation of complex organic molecules are also reviewed. © 2011 Elsevier B.V.


Grant
Agency: European Commission | Branch: H2020 | Program: ERC-STG | Phase: ERC-StG-2015 | Award Amount: 1.45M | Year: 2016

Billions of years of evolution have made enzymes superb catalysts capable of accelerating reactions by several orders of magnitude. The underlying physical principles of their extraordinary catalytic power still remains highly debated, which makes the alteration of natural enzyme activities towards synthetically useful targets a tremendous challenge for modern chemical biology. The routine design of enzymes will, however, have large socio-economic benefits, as because of the enzymatic advantages the production costs of many drugs will be reduced and will allow industries to use environmentally friendly alternatives. The goal of this project is to make the routine design of proficient enzymes possible. Current computational and experimental approaches are able to confer natural enzymes new functionalities but are economically unviable and the catalytic efficiencies lag far behind their natural counterparts. The groundbreaking nature of NetMoDEzyme relies on the application of network models to reduce the complexity of the enzyme design paradigm and completely reformulate previous computational design approaches. The new protocol proposed accurately characterizes the enzyme conformational dynamics and customizes the included mutations by exploiting the correlated movement of the enzyme active site residues with distal regions. The guidelines for mutation are withdrawn from the costly directed evolution experimental technique, and the most proficient enzymes are easily identified via chemoinformatic models. The new strategy will be applied to develop proficient enzymes for the synthesis of enantiomerically pure -blocker drugs for treating cardiovascular problems at a reduced cost. The experimental assays of our computational predictions will finally elucidate the potential of this genuinely new approach for mimicking Natures rules of evolution.

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