Marine sciences information activity report for Spain 1999/2000

pp. 289-30

TICVida '05. To become European documentalists: An Ibero American life sciences documentation e-congress

pp. 77-84; presented as poste

On the social return of R&D projects and support programmes

This work is a part of an ongoing research focusing on the social impact of R&D projects and support programmes from the perspectives of the public and private sectors. The research project is based on interviews conducted as part of a case study methodology involving a marine-sector private company and the Technological Center in Vigo. The results indicate that the criteria chosen as being the most important for the evaluation of social return of R&D were the number of jobs created at the company, the environmental impact and the working conditions. Also included in the analysis were the criteria used in the process of evaluating applications for funding. From the analysis it becomes notorious that social return is not a priority in this evaluation process, with assigned weights for the related criteria ranging between 0 and -22%. The only exception was the Transnational Program of cooperation Atlantic Space where the weights of the variable related to the social character of the project sum about 50 %. The mostly used criteria are the environmental impact, the incorporation of new PhD´s and the presence of women investigator's in the project. Only in the Transnational Program of cooperation Atlantic Space include criteria like the transference of knowledge, diffusion of knowledge and platform growth

When to stop making relevance judgments? A study of stopping methods for building information retrieval test collections

This is the peer reviewed version of the following article: David E. Losada, Javier Parapar and Alvaro Barreiro (2019) When to Stop Making Relevance Judgments? A Study of Stopping Methods for Building Information Retrieval Test Collections. Journal of the Association for Information Science and Technology, 70 (1), 49-60, which has been published in final form at https://doi.org/10.1002/asi.24077. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived VersionsIn information retrieval evaluation, pooling is a well‐known technique to extract a sample of documents to be assessed for relevance. Given the pooled documents, a number of studies have proposed different prioritization methods to adjudicate documents for judgment. These methods follow different strategies to reduce the assessment effort. However, there is no clear guidance on how many relevance judgments are required for creating a reliable test collection. In this article we investigate and further develop methods to determine when to stop making relevance judgments. We propose a highly diversified set of stopping methods and provide a comprehensive analysis of the usefulness of the resulting test collections. Some of the stopping methods introduced here combine innovative estimates of recall with time series models used in Financial Trading. Experimental results on several representative collections show that some stopping methods can reduce up to 95% of the assessment effort and still produce a robust test collection. We demonstrate that the reduced set of judgments can be reliably employed to compare search systems using disparate effectiveness metrics such as Average Precision, NDCG, P@100, and Rank Biased Precision. With all these measures, the correlations found between full pool rankings and reduced pool rankings is very highThis work received financial support from the (i) “Ministerio de Economía y Competitividad” of the Government of Spain and FEDER Funds under the researchproject TIN2015-64282-R, (ii) Xunta de Galicia (project GPC 2016/035), and (iii) Xunta de Galicia “Consellería deCultura, Educación e Ordenación Universitaria” and theEuropean Regional Development Fund (ERDF) throughthe following 2016–2019 accreditations: ED431G/01(“Centro singular de investigación de Galicia”) andED431G/08S

Planck constraints on the tensor-to-scalar ratio

We present constraints on the tensor-to-scalar ratio r using Planck data. We use the latest release of Planck maps, processed with the NPIPE code, which produces calibrated frequency maps in temperature and polarisation for all Planck channels from 30 GHz to 857 GHz using the same pipeline. We computed constraints on r using the BB angular power spectrum, and we also discuss constraints coming from the TT spectrum. Given Planck?s noise level, the TT spectrum gives constraints on r that are cosmic-variance limited (with ?r?=?0.093), but we show that the marginalised posterior peaks towards negative values of r at about the 1.2? level. We derived Planck constraints using the BB power spectrum at both large angular scales (the ?reionisation bump?) and intermediate angular scales (the ?recombination bump?) from ? = 2 to 150 and find a stronger constraint than that from TT, with ?r?=?0.069. The Planck BB spectrum shows no systematic bias and is compatible with zero, given both the statistical noise and the systematic uncertainties. The likelihood analysis using B modes yields the constraint r<?0.158 at 95% confidence using more than 50% of the sky. This upper limit tightens to r<?0.069 when Planck EE, BB, and EB power spectra are combined consistently, and it tightens further to r<?0.056 when the Planck TT power spectrum is included in the combination. Finally, combining Planck with BICEP2/Keck 2015 data yields an upper limit of r<?0.044.Planck is a project of the European Space Agency (ESA) with instruments provided by two scientific consortia funded by ESA member states and led by Principal Investigators from France and Italy, telescope reflectors provided through a collaboration between ESA and a scientific consortium led and funded by Denmark, and additional contributions from NASA (USA). Some of the results in this paper have been derived using the HEALPix package. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231. We gratefully acknowledge support from the CNRS/IN2P3 Computing Center for providing computing and data-processing resources needed for this work

Intelligent fertigation, pillar of sustainable agriculture Intelligent fertigation, pillar of sustainable agriculture

The growing demand for food in the country has required an increase in agricultural production levels and with it, an increase in irrigation systems. Among the most widespread are central pivot irrigation systems, but their large number and variety make their optimal configuration difficult, generating overexploitation of natural resources such as water and threatening the sustainability of agriculture and the country. For this reason, the objective of this research was to implement a software that would allow obtaining the appropriate configuration of this equipment, using information on the type of crop, the agro-climatic conditions of the region and the soil, in order to obtain the maximum utilization. As a result, an application capable of performing the calculations so that the value of water delivered by the system is closer to the estimated needs for a crop in each of its phases was achieved. To demonstrate this, an experimental study was carried out in field conditions in the agricultural enterprise La Cuba, in Ciego de Avila; it showed that, with the use of the software, there was a saving of up to 94.5% of the water previously misused. In addition, the level of liquid provided allows the sowing to be in better conditions to reach its optimum yield. As an added value, the software has a minimalist and intuitive interface, which allows real-time visualization of field information

Using description logics to integrate fishers' ecological knowledge in the research of artisanal fisheries

[Abstract] The aim of this paper is to show the role that Knowledge Representation can play in the research of artisanal fisheries. In particular we concentrate on the epistemological and technological adequacy of implementations of Description Logics to represent fishers’ ecological knowledge, so contributing to address some open methodological questions about its collection and us