Palma, Spain

The University of the Balearic Islands is a Balearic Spanish university, founded in 1978 and located in Palma on the island of Majorca. Wikipedia.

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The present invention is related to the use of a separate, sequential or simultaneous combination of at least one urinary acidifier with at least one calcium phosphate crystallization inhibitor for urine acidification, and thus preventing the pH at which supersaturation of calcium phosphate is produced and consequently, renal lithiasis.

The present invention relates to the use of a separate, sequential or simultaneous combination of at least one urinary basifying agent, with at least one uric acid crystallization inhibitor for basifying urine, thus avoiding the pH value at which renal lithiasis is produced.

University of the Balearic Islands | Date: 2017-04-05

The present invention refers to the use of theobromine or its derivatives as an inhibitor of the crystallisation of uric acid to avoid the formation of uric acid crystals in urine and as a consequence renal lithiasis or specifically uric acid renal lithiasis.

Agency: European Commission | Branch: FP7 | Program: CP-IP | Phase: KBBE.2013.2.1-01 | Award Amount: 11.45M | Year: 2014

MooDFOOD is a Multi-country cOllaborative project on the rOle of Diet, Food-related behaviour, and Obesity in the prevention of Depression. Depression is one of the most prevalent, severe and disabling disorders in the EU and places a heavy burden on individuals and families. A large proportion of the EU population is overweight which increases depression risk. Improving food-related behaviour and nutrient status offer opportunities to prevent depression, specifically for people prone to being overweight. The MooDFOOD consortium combines expertise in nutrition, consumer behaviour, psychiatry and preventive psychology and uses a unique integrative approach. Existing high quality data of longitudinal prospective European cohort studies will be combined with new data from surveys, short-term experiments and a long-term preventive intervention study. This approach will provide insight in the causality of the link between diet and depression and underlying pathways, and will identify which modifications related to depression lead to beneficial dietary changes and lower the environmental burden of the diet. Knowledge on all these aspects will be integrated and used to develop novel nutritional strategies to prevent depression. The MooDFOOD consortium aims 1) to gain a better understanding of the psychological, lifestyle and environmental pathways underlying the multi-faceted, bidirectional links of food intake, nutrient status, food-related behaviour and obesity with depression and 2) to develop and disseminate innovative evidence-based, feasible, effective and sustainable nutritional strategies for the prevention of clinical depression. In close collaboration with stakeholders and experts MooDFOOD will transform these nutritional strategies into guidelines and practical tools to guide policy at EU- and Member State levels. Promotion through extensive European networks will lower the risk of depression and contribute to overall health of all EU citizens.

Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETPROACT-3-2014 | Award Amount: 2.27M | Year: 2015

We are on the verge of a new scientific and technological era as the first quantum simulators able to investigate physical systems that cannot be studied classically are about to be built in the laboratories. Controlling and probing complex quantum systems is of paramount importance for the implementation of these devices. Quantum simulators are controllable complex quantum systems that emulate the behaviour of other quantum systems whose properties cannot be easily tested. While several models of quantum simulators are currently under construction, the development of effective probing techniques is still lagging behind, despite their crucial role. In most of the quantum simulator experiments measurement techniques are invasive and destructive, destroying not only the very quantum properties from which the simulator stems, but often also the quantum system itself. QuProCS works on the development of a radically new approach to probe complex quantum systems for quantum simulations, based on the quantification and optimisation of the information that can be extracted by an immersed quantum probe as opposed to a classical one. The team will theoretically investigate and experimentally implement quantum information probes to detect and characterise quantum correlations, quantum phase transitions, transport properties, and nonequilibrium phenomena in ultracold gases. By a shift in perspective to a complementary viewpoint, we will at the same time investigate experimentally, in a quantum optical platform, how changing the properties of the environment via reservoir engineering modifies the behaviour of the quantum probe. We will develop optimal probing strategies to read out and benchmark quantum simulators, thus providing the most crucial ingredient for commercial devices.

Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2015-ETN | Award Amount: 3.46M | Year: 2016

Deictic communication is fundamental to understanding communication in both typical and atypical populations, and forms the key connection between language and objects/locations in the world. It is therefore critical to understanding human-human interaction, and human-system interaction in a range of technology applications from mobile phones to cognitive robotics and to the enhancement of clinical and educational interventions with typical and atypical populations. This ETN will train the next generation of scientists in the full range of multidisciplinary and cross-sectorial methods necessary to make significant progress in understanding deictic communication, with direct synergies between basic research and application. Training is structured around two interdisciplinary research themes Understanding Deictic Communication and Deictic Communication in Application both involving extensive and systematic co-supervision and collaboration across sites with key interplay between academic and nonacademic beneficiaries and partners. In turn we expect that a range of applications will be enhanced with increased usability, with associated societal and economic benefit. The training of the cohort of ESR fellows is based on innovative PhD training approaches, providing not only training in interdisciplinary methods, but also employing peer-assisted methods and the latest in educational innovation. This will produce a cohort of highly skilled researchers who will be highly employable given the potential contribution they will make to future research and innovation in the public and private sectors.

Agency: European Commission | Branch: H2020 | Program: SESAR-RIA | Phase: Sesar-02-2015 | Award Amount: 599.73K | Year: 2016

The Flightpath 2050 report envisages a passenger-centric air transport system thoroughly integrated with other transport modes, with the goal of taking travellers from door to door predictably and efficiently. However, ATM operations have so far lacked a passenger-oriented perspective, with performance objectives not necessarily taking into account the ultimate consequences for the passenger. There is a lack of understanding of the impact of passengers behaviour on ATM and vice versa. Research in this area has so far been constrained by the limited availability of behavioural data. The pervasive penetration of smart devices in our daily lives and the emergence of big data analytics open new opportunities to overcome this situation: for the first time, we have large-scale dynamic data allowing us to test hypotheses about travellers behaviour. The goal of BigData4ATM is to investigate how these data can be analysed and combined with more traditional demographic, economic and air transport databases to extract relevant information about passengers behaviour and use this information to inform ATM decision making processes. The specific objectives of the project are: 1. to integrate and analyse multiple sources of passenger-centric spatio-temporal data (mobile phone records, data from geolocation apps, credit card records, etc.) with the aim of eliciting passengers behavioural patterns; 2. to develop new theoretical models translating these behavioural patterns into relevant and actionable indicators for the planning and management of the ATM system; 3. to evaluate the potential applications of the new data sources, data analytics techniques and theoretical models through a number of case studies, including the development of passenger-centric door-to-door delay metrics, the improvement of air traffic forecasting models, the analysis of intra-airport passenger behaviour and its impact on ATM, and the assessment of the socio-economic impact of ATM disruptions.

Frontera A.,University of the Balearic Islands
Coordination Chemistry Reviews | Year: 2013

Supramolecular chemistry of anions is a topic of continuous interest due to vital role of anions in many key chemical and biological processes. The dominant functional groups for constructing anion binding receptors are amides and amines/ammonium cations, where the key interaction to bind the anion is the hydrogen bond. This review covers systems where the binding of the anion with the receptor is through anion-π interactions, i.e., the non-covalent forces between electron-deficient aromatic systems and anions. Moreover, this review is focused to those receptors where coordination metals play a prominent role thanks to two very important characteristics: first, they are crucial for the synthesis and assembly of the receptor and, secondly, they strongly change the π-binding ability of the aromatic ligands, increasing significantly their π-acidity and, consequently, enhancing the ability of the ring to interact favorably with anions. © 2013 Elsevier B.V.

Agency: European Commission | Branch: H2020 | Program: MSCA-IF-EF-ST | Phase: MSCA-IF-2015-EF | Award Amount: 170.12K | Year: 2016

Optical fiber communication technologies substantially support high-speed, long-distance or/and terabit capacity networks all around the globe. Contemporary applications oblige the network operation to respond efficiently and rapidly to any user request. To achieve such demands, optical label switching (OLS) techniques have been developed to support data traffic in fiber networks. The reliable and fast processing of data headers is highly critical for trustworthy transmission flow. All-optical header recognition has been investigated lately through diverse physical implementations that offer competitive advantages; however, these configurations have been proposed as basic processing units with practically small or non-existing intelligence. Reservoir computing (RC) as a method of applying intelligence to physical systems has been lately proposed to exploit the inherent nonlinearities of photonic devices and components that are commercially available towards proficient processing of light. Lately, field programmable gate arrays (FPGA) modules have been engaged to exploit nonlinearities through the fast implementation of algorithms that work towards this direction. CENTURION project aims at joining several multidisciplinary research aspects that belong to the fields of non-linear dynamics, optical communications, FPGA programming and informatics and establish FPGA-assisted and photonic RC as intelligent high-speed methodologies in data traffic management of broadband optical signals. The objective is to train the experienced researcher in FPGA programming and the concepts of reservoir computing, in order to append intelligence to the decision making processes in optical communication networks and to offer sophisticated solutions for routing and switching in telecom applications and to reduce storing requirements in sensing applications.

Agency: European Commission | Branch: H2020 | Program: MSCA-IF-GF | Phase: MSCA-IF-2015-GF | Award Amount: 245.44K | Year: 2017

C4 plants are leading grain (maize, sorghum), sugar (sugarcane), and biofuel (miscanthus) producers. Their higher productivity potential arises from the operation of a Carbon Concentrating Mechanism (CCM), which is an effective turbocharger of the assimilatory machinery. In recent years there has been a considerable drive towards engineering a CCM into C3 crops as a possible strategy to boost agricultural productivity. This emerged as an alternative strategy to the traditional breeding, which seem to be inadequate to ensure complete food and nutrient security in the face of global warming, population growth, and decreasing arable land availability. Advanced breeding of C4 plants is currently impinged on negatively by lack of knowledge of fundamental C4 physiology. This lack of fundamental knowledge calls for a deeper understanding of the biochemical underpinnings of C4 photosynthesis and quantitative predictions of the effect of genetic manipulation. For C4 photosynthesis to operate, a substantial flow of metabolites is continuously exchanged between two partially isolated compartments in the leaf parenchyma (mesophyll and bundle sheath). This project (DILIPHO) hypothesizes that under low turgor the exchange of metabolites slows down, thus jamming the C4 machinery. DILIPHO consists of three phases. Firstly, the applicant Chandra Bellasio will learn concepts of advanced Mathematics and Biophysics, and develop a mechanistic model to study metabolite transport at leaf level, DILIMOD. Secondly, the hypothesis will be experimentally tested. In the hypothesis will be experimentally tested. Thirdly, the model will be interrogated to mechanistically explain the dataset and to answer fundamental questions in C4 ecology and physiology. The findings and the theoretical tools that will be developed in DILIPHO are urgently needed, and have a notable potential to benefit advanced breeding, the economy and the society as a whole.

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