Idenix Pharmaceuticals, University of Cagliari, French National Center for Scientific Research and Montpellier University | Date: 2016-12-14
2 and/or 3 prodrugs of 1, 2, 3 or 4-branchednucleosides, and their pharmaceutically acceptable salts and derivatives are described. These prodrugs are useful in the prevention and treatment of Flaviviridae infections, including HCV infection, and other related conditions. Compounds and compositions of the prodrugs of the present invention are described. Methods and uses are also provided that include the administration of an effective amount of the prodrugs of the present invention, or their pharmaceutically acceptable salts or derivatives. These drugs may optionally be administered in combination or alteration with further anti-viral agents to prevent or treat Flaviviridae infections and other related conditions.
Saras Ricerche e Tecnologie S.p.A. and University of Cagliari | Date: 2017-03-15
The present invention concerns a prediction method of chemical-physical properties of a fraction of atmospheric and/or vacuum distillation of a oil, which comprises the following steps:- withdrawing a first sample of said oil and obtaining its 1 H NMR spectrum;- withdrawing a second sample of said oil and analytically determining, according to standard analytical methods, the same physical properties for which it is desired to make a prediction with respect to said fraction of atmospheric and/or vacuum distillation or subjecting it to atmospheric distillation and withdrawing a sample of a residue of said atmospheric distillation and determining according to the prediction method, the same physical properties of which it is desired to obtain the prediction with respect to said fraction of vacuum distillation;- building a expanded spectrum by concatenating the 1 H NMR spectrum of said first sample of said oil with the chemical and physical properties determined on said second sample of said oil or on said sample of the residue of said atmospheric distillation;- obtaining the desired property of said distillation fraction inputting the data obtained from the preceding steps in a mathematical expression, representative of the prediction model, previously obtained by:I. selecting a set of oils representative of those on which the analysis will have to be carried out;II. obtaining the spectra of said oils through the 1 H NMR technique;III. preparing atmospheric and/or vacuum residues by distillation of said oils;IV. determining a set of chemical-physical properties of said oils by means of standard analytical methods;V. determining a set of chemical-physical properties of said atmospheric and/or vacuum residues by means of standard analytical methods;and subsequent building and calibrating of the prediction model through the following stepsVI. producing a set of expanded spectra, obtained by the concatenation of the data of chemical-physical properties of step IV, in the case of determination of physical properties of a fraction of atmospheric distillation, or of the atmospheric residues of step V, in the case of determination of physical properties of a fraction of vacuum distillation, with the spectra obtained in step II;VII. making a regression, with a method of multivariate calibration, of the set of expanded spectra obtained in step VI with the chemical-physical properties of the atmospheric residues of step V, in the case of determination of physical properties of a fraction of atmospheric distillation, or with the chemical-physical properties of atmospheric and/or vacuum residues of step V, in the case of determination of physical properties of a fraction of vacuum distillation.
University of Cagliari | Date: 2017-06-07
The present invention relates to an ester of a phospholipid with conjugated linoleic acid for use in the therapeutic treatment of or as a food supplement for psychiatric disorders with neuroinflammatory and neurodegenerative basis, such as depression and schizophrenia.
National Research Council Italy and University of Cagliari | Date: 2017-05-03
Method for regulating in real time the clock frequencies of at least one cluster of electronic machines, characterized in that it provides for carrying out the following steps: a) defining a finite number of discrete virtual capacity values f, f,.... f[K], as global performance indices, of said cluster of machines; b) calculating by means of a randomized optimization procedure, for each value of said virtual capacity, a set of 1 vectors containing clock frequency values for each machine in said cluster; c) defining a reference queue value, related to the number of processing requests received by said cluster; and provides for iteratively carrying out the following steps: d) measuring the deviation between a current queue value, related to the number of processing requests in said current queue, and said reference queue value; e) selecting one of said discrete virtual capacity values on the basis of said measured deviation, said selection occurring on the basis of a procedure that, at each iteration, analyzes said measured deviation, compares it with the measured deviation value obtained at the previous iteration, and chooses whether to keep the current virtual capacity value or to adopt one of the two adjacent or non-adjacent admissible virtual capacity values of said finite number of discrete values; f) selecting, based on said selected virtual capacity value, a vector of clock frequency values for each machine from said set of 1 vectors, so as to optimize a multi-target performance index (J), and then setting the clock frequency of each machine in the cluster.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: LCE-08-2014 | Award Amount: 11.40M | Year: 2015
The project will deploy and demonstrate local storage technologies which have reached TRL 5-6 in a real electrical grid, and will develop ICT tools to exploit the synergies between them, the smart grid and the citizens. The demonstration in this real environment will be driven by five use cases covering low voltage and medium voltage scenarios and a wide range of applications and functionalities. Viable business models will be defined for the cases, and proposal for changes in regulations will be made. Dissemination and exploitation activities will ensure these results drive market uptake of storage technologies. The expected outcomes of the project are: - An energy management system to be used by the energy companies to manage the energy of their associates storage devices. - Control systems to integrate management and decision support tools that enable the integration of renewable generation, forecasting and storage systems into the smart-grid. - Innovative storage solutions: HESS (Hybrid Energy Storage System Ultracapacitors \ Li-ion batteries) Second Life Electric Vehicle Batteries Home Hybrid technologies (Ultracapacitors \ Li-ion batteries) - Business models to allow easier deployment of energy storage technologies into the electricity market - Proposed changes to regulators in the social and economic areas in order to lower barriers to the deployment of distributed storage for the defined use cases. - Life Cycle Assessment / Life Cycle Cost of the storage systems used in the project The project will achieve topic expected impacts and also environmental and socioeconomic impacts, like carbon emissions reduction and lowering the EU dependency of fossil fuels. The project gives Energy Services Companies (ESCO) a main role in the deployment and exploitation of storage solutions. The consortium foresees the creation of an ESCO to exploit demonstrated business models after the project. The consortium is designed to meet the requirements of this innovation action, with strong industrial members, innovative SMEs, research organizations, experts, DSO and a follower smart-city. This consortium is capable of bringing innovative technologies to socioeconomically viable solutions.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: WATER-5c-2015 | Award Amount: 2.99M | Year: 2016
FLOWERED objective is to contribute to the development of a sustainable water management system in areas affected by fluoride (F) contamination in water, soils and food in the African Rift Valley countries (Ethiopia, Kenya, Tanzania), thus to improve living standards (environmental, health and food security) of its population. FLOWERED aims to study, test and implement innovative defluoridation technologies for drinking and irrigation water that will mainly operate at small village scale and to develop an integrated, sustainable and participative water and agriculture management at a cross-boundary catchment scale. On the basis of the complexity of the issue of water de-fluoridation, the proposed scientific approach in FLOWERED is based on a detailed knowledge of the geological and hydrogeological setting that controls contamination of water that constitute the prerequisite for the implementation of a sustainable water management and for the proposal of sustainable and suitable strategies for water sanitation and agricultural system. Innovative agricultural practices will be assessed, aiming to mitigate the impacts of F contamination of water and soil on productivity of selected food and forage crops and dairy cattle health and production. The development of an innovative and shared Geo-data system will support the integrated, sustainable and participative management system. FLOWERED, focusing on innovative technologies and practices and taking into account local experiences, will implement an integrated water and agriculture management system and will enable local communities to manage water resources, starting from using efficient defluoridation techniques and applying sustainable agricultural practices. The integrated approaches improve knowledge for EU partners, local researchers, farmers and decision makers. The Project through the involvement of SMEs will strengthen the development co-innovative demonstration processes as well as new market opportunities.
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2016 | Award Amount: 3.16M | Year: 2017
In the Roadmap for Mental Health and Wellbeing Research in Europe (ROAMER), top-priority is research into child and adolescent mental health symptoms. CAPICE (Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe) will address this priority. This network will elaborate on the EArly Genetics and Lifecourse Epidemiology (EAGLE) consortium, a well-established collaboration of the many European birth and adolescent population based (twin and family) cohorts with unique longitudinal information on lifestyle, family environment, health, and emotional and behavioral problems. Phenotypic and genome-wide genotypic data are available for over 60,000 children, in addition to genome-wide genotypes for over 20,000 mothers and epigenome-wide data for over 6,000 children. Combined with the enormous progress in methodology, the results of the research performed in this network will greatly expand our knowledge regarding the etiology of mental health symptoms in children and adolescents and shed light on possible targets for prevention and intervention, e.g. by drug target validation. Moreover, it will provide Early Stage Researchers (ESRs) with an excellent training in the psychiatric genomics field given by a multidisciplinary team of eminent scientists from the academic and non-academic sector highly experienced in e.g., gene-environment interaction and covariation analyses, (epi)genome-wide association studies, Mendelian Randomization (MR) and polygenic analyses. With a focus on common and debilitating problems in childhood and adolescence, including depression, anxiety and Attention Deficit Hyperactivity Disorder, CAPICE will contribute to improving later outcomes of young people in European countries with child and adolescent psychopathology.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-01-2016 | Award Amount: 5.38M | Year: 2017
ICT is embedded and pervasive into our daily lives. The notion of Cyber Physical Systems (CPS) has emerged: embedded computational collaborating devices, capable of controlling physical elements and responding to humans. The Cross-layer modEl-based fRamework for multi-oBjective dEsign of Reconfigurable systems in unceRtain hybRid envirOnments (CERBERO) project aims at developing a design environment for CPS based of two pillars: a cross-layer model based approach to describe, optimize, and analyze the system and all its different views concurrently; an advanced adaptivity support based on a multi-layer autonomous engine. To overcome the limit of current tools, CERBERO provides: libraries of generic Key Performance Indicators for reconfigurable CPSs in hybrid/uncertain environments; novel formal and simulation-based methods; a continuous design environment guaranteeing early-stage analysis and optimization of functional and non-functional requirements, including energy, reliability and security. CERBERO effectiveness will be assessed in challenging and diverse scenarios, brought by industrial leaders: an embedded CPS with self-healing capabilities for planetary explorations (TASE-S&T), an ocean monitoring CPSoS (AS), and a Smart Travelling CPSoS for Electric Vehicle (TNO-CRF-S&T). CERBERO will automate multi-objective decisions to meet requirements and correct/optimizedbyconstruction designs. Interoperable components (i.e. DynAA by TNO, AOW by IBM, PREESM by INSA, PAPI-ARTICo3 by UPM, MDC by UniCA-UniSS) will be enhanced with additional features (as security, USI), mostly released as open-source to foster open innovation and a real path to standardisation, and integrated (IBM- AI) into a unique framework. Design speed up (one order of magnitude), increased performance (30% less energy) and reduced costs of deployment (by rapid prototyping and system in the loop incremental design) and maintenance (by runtime verification and adaptivity) of CPSoS are expected.
Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2016 | Award Amount: 841.50K | Year: 2017
The number of biobanks for diagnostic/clinical/biodiversity preservation purposes is increasing exponentially, representing an economic burden for the EU. Cryopreservation (Liquid Nitrogen LN) is the only cells/gametes long-term repository method. LN storage is expensive though, requires dedicated facilities, is hazardous, carries pathogens and has high carbon footprint. DRYNET objective is to set an inter-sectorial/multidisciplinary/international network between EU academic (5), SME (3), the EU pan-Biobank, and international partners (Japan/Thailand), with the aim of sharing knowhow & expertise to lay down the theoretical and early empirical basis for the dry storage of cells/germplasm. DRYNET merges the partners expertise, theoretical/ biophysical/ mathematical modelling, cellular/ molecular/ insect biology, embryology, mechanical engineering into a coherent approach towards dry storage of cells/germplasm. International/inter-sectorial secondments, with meeting/workshop/summer school will be primary tools to implement our strategy for biobanking. Outreaching activities will guarantee public awareness of the project. DRYNETs relies on water subtraction to induce a reversible block of metabolism, a survival strategy available in nature (anhydrobiosis). The work plan foresees the exploitation of natural xero-protectants (Late Embryogenesis Abundant proteins), loaded/expressed in gametes/cells, before drying. The best drying approaches, supported by theoretical/biophysical/math modelling, will be implemented by SMEs/academy partners. DRYNET will bring a simplification of currents practices, with cost and carbon footprint reduction, for the maintenance/shipping of biobanks. DRYNET will generate young scientists with transferable skills, ensuring career prospect in academia/industry. DRYNET strengthens the international/sectorial network between different disciplines, ensures long-term sustainability of the project, and boosts European competitiveness in biobanking.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: DRS-22-2015 | Award Amount: 1.74M | Year: 2016
CLISEL proposes an innovative approach to the question of how Europe can be secured from the impacts of climate change in Third Countries. Most academic and policy initiatives to date have focused on the direct security impacts of climate change in Third Countries and/or on the indirect impacts on international security (e.g. concerning regional economic or political stability). While those initiatives offer invaluable insights, CLISEL is based on the presumption that many indirect impacts on Europes security emerge and are felt at the local scale, within Europe itself. This is overlooked by most existing initiatives on the so called climate-security nexus, and the conditions under which local authorities act upon climate change (in)security within their operations are not well understood. To fill this gap, CLISEL explores the climate-security nexus from the perspective of local administrations and communities, based on the idea that innovations in the exercise of regulatory power of local authorities can contribute to enhance the understanding of the indirect security implications of climate change in Third countries, as well as to take proactive action. In particular, CLISEL looks at the issue of climate-induced migration, an issue often cited as an indirect security dimension of climate change, from the perspective of local administrators in Sardinia. The aim is to understand the extent to which migrants from ecologically vulnerable Third Countries are perceived as a security issue, the reasons why that is (not) the case, as well as the policies and actions through which local administrators can ward off the emergence of security crisis within their territory.