The University of Almeria is a public university situated in Almeria, Spain. Located on the shore of the Mediterranean Sea, it belongs to the La Cañada de San Urbano district of Almeria City. In 2008 the University offered 38 different degree programmes, with 871 lecturers, and 11,628 students. At the time of its foundation, its initial governing was assigned to D. Alberto Fernández Gutiérrez, as Vice-Chancellor.The current Vice-Chancellor is D .Pedro Roque Molina García, elected by the university community in the elections that took place on Monday 26 March 2007, taking over from D. Alfredo Martinez Almécija. The student participation in these elections was 23%. Wikipedia.
Rodrigo F.S.,University of Almeria
International Journal of Climatology | Year: 2010
In this study trends in the probability of extreme rainfall in the Iberian Peninsula at a daily scale from 1951 to 2002 have been analysed. A simple statistical model of daily precipitation based on the gamma distribution is applied to data from 22 stations in the Iberian Peninsula from 1951 to 2002. The Mann-Kendall test was applied to look for trends of the distribution parameters. It is shown that the scale parameter remains stable, while the shape parameter is most variable, spatially and temporally, with significant negative trends in many stations. As a consequence, the trend of the probability of daily rainfall lesser than the 5th percentile is positive, mainly to the north and to the south of the Iberian Peninsula; meanwhile the probability of daily rainfall higher than the 95th percentile is negative. This behaviour, with slight spatial differences, is observed in the four seasons of the year. Results corresponding to the probability of heavy rainfalls are confirmed using the stretched exponential distribution. The possible influence of teleconnection patterns (North Atlantic Oscillation, East Atlantic, Mediterranean Oscillation pattern) is analysed calculating the correlation coefficients between teleconnection indices and the gamma distribution parameters. The winter NAO index shows significant relationships with the scale parameter, but not with the shape parameter. The East Atlantic pattern shows significant correlation coefficients with the shape parameter of 5 stations in winter, and 5 stations in autumn, but these results are not conclusive. These results suggest that the decrease of this parameter, and the behaviour of extreme rainfall probabilities, must be explained by other mechanisms. © 2009 Royal Meteorological Society. Source
Agulleiro J.I.,University of Almeria |
Fernandez J.J.,CSIC - National Center for Biotechnology
Bioinformatics | Year: 2011
Summary: Tomo3D implements a multithreaded vectorized approach to tomographic reconstruction that takes full advantage of the computer power in modern multicore computers. Full resolution tomograms are generated at high speed on standard computers with no special system requirements. Tomo3D has the most common reconstruction methods implemented, namely weighted Back-projection (WBP) and simultaneous iterative reconstruction technique (SIRT). It proves to be competitive with current graphic processor unit solutions in terms of processing time, in the order of a few seconds with WBP or minutes with SIRT. The program is compatible with standard packages, which easily allows integration in the electron tomography workflow. © The Author 2010. Published by Oxford University Press. All rights reserved. Source
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2013.4.2 | Award Amount: 3.92M | Year: 2014
The objective of AMIDST is to develop a toolbox providing a scalable framework that facilitates efficient analysis and prediction based on information captured in streaming data. The work includes developing and scaling up existing algorithms in order to make the AMIDST toolbox flexible and versatile enough as to cope with the needs and requirements of a wide variety of applications. The toolbox will be particularized to address three industrial use-cases. Each use-case solution will be used to rigorously test the framework on real and complex data.The consortium has a strong and balanced combination of research and industrial partners. The academic partners ensure a scientific approach to theoretical and methodological aspects of the project. The industrial partners illustrate the importance of the potential developments provided by AMIDST for the EU economy, as they represent four strategic EU areas: software development, automotive industry, energy, and finance. AMIDST will make significant contributions towards the expected impacts of the call objectives. It will provide a generic framework for analysis of extremely large volumes of streaming data, thereby adding, creating and increasing the value of existing and new data resources as well as providing a means for more timely and efficient decision making. Each use-case solution represents an important contribution to its application domain.The industrial and commercial involvement in AMIDST ensures a high degree of commercial exploitations of the solutions developed. Each use-case represents one domain of commercial exploitation of effective solutions whereas the general framework will be applicable to a wide range of other domains. With the objective of creating a strong positive synergy, AMIDST takes an integrated European approach and joins partners with high interests in probabilistic modeling methods as well as techniques and algorithms for analysis of extremely large data volumes.
Agency: Cordis | Branch: H2020 | Program: IA | Phase: ICT-35-2014 | Award Amount: 1.42M | Year: 2015
An innovative training structure focused on addressing the limited capability of young European ICT future entrepreneurs is needed. This is a challenging task, since existing European ICT entrepreneurship training initiatives are characterised by a general fragmentation and a lack of a learning-by-doing training approach. STARTIFY7 is an innovative and ambitious project aiming to go beyond the state-of-the-art and create strong synergies with existing initiatives and projects. It suggests a unique approach to ICT entrepreneurial education for the youth, with the following objectives: 1) Perform a thorough Training Needs Analysis for the future ICT entrepreneurs. 2) Embed a team-building process within a lean-training structure. 3) Establish an effective network of trainers. 4) Create innovative lean-training curricula with thematic ICT focus. 5) Ignite competition and strong synergies with existing initiatives. 6) Disseminate, exploit and ensure long-term sustainability. The innovative outcomes of the project are the following: 1) Seven Summer Academies in 7 different European cities within a timeframe of two sequential summers (i.e. 2015 and 2016). 2) Seven lean-training and thematically-focused training curricula, embedding a strong team-building process. 3) An integrated network of trainers focused on hands-on and real-world knowledge transfer. 4) A competition based on the best performing teams after the completion of each round of summer academies. 5) Complement, extend and enrich similar existing actions. 6) A centralized social networking service. 7) ECTS credits provision. 8) An integrated exploitation and sustainability plan with the aim of making STARTIFY7 a long-term viable Summer Academy. STARTIFY7 will aim for 1.400 applications from potential entrepreneurs, 280 student participants, 90 produced demos, 70 engaged teachers/coaches/mentors, 2 boot-camps with 63 participants, 10 VC/angels investors engaged, and, 16 investment-ready proposals.
Agency: Cordis | Branch: H2020 | Program: CSA | Phase: WATER-4b-2015 | Award Amount: 3.00M | Year: 2016
In European countries, the cultivation of fertigated crops experience scarcity of water, and the intensity of cultivation poses significant risks to water quality. The main objective of the FERTINNOWA thematic network is to create a meta-knowledge database on innovative technologies and practices for fertigation of horticultural crops. FERTINNOWA will also build a knowledge exchange platform to evaluate existing and novel technologies (innovation potential, synergies, gaps, barriers) for fertigated crops and ensure wide dissemination to all stakeholders involved of the most promising technologies and best practices. A multi-actor integrated approach will be used through the FERTINNOWA platform which will involve various stakeholders (researchers, growers, policy-makers, industry, environmental groups etc.) at several levels including the socio-economic and regulatory level (national and European) with a special focus on the EU Water Framework Directive and Nitrate Directive. Information will be gathered at national level to feed a European benchmark study that will evaluate and compare existing technologies used at various horticulture sectors, including vegetables, fruit and ornamentals in different climate zones. All tools, databases and other resources generated will be shared within the consortium and the stakeholders group and will be made available to the broader scientific community, policy-makers, the industry and the public at large. FERTINNOWA will help the growers to implement innovative technologies in order to optimize water and nutrient use efficiency thus reducing the environmental impact.