61 research outputs found

    Repensando los estudios metadisciplinares en la sociedad datacéntrica: análisis dinámico de las redes de conocimiento de la Historia del Arte a través de la base de datos ISOC-Arte (CSIC)

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    Nuestra propuesta de comunicación tiene por objetivo presentar la metodología de trabajo, las técnicas de análisis y los resultados más relevantes alcanzados en el proyecto de investigación «Análisis estratégico y dinámico de la investigación en Historia del Arte en España», que se está desarrollando en el marco de un convenio de colaboración establecido desde junio de 2014 entre el grupo iArtHis_Lab de la Universidad de Málaga y el Centro de Ciencias Humanas y Sociales del CSIC para el análisis de las redes de producción y distribución de conocimiento en el ámbito disciplinar de la Historia del Arte .Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tec

    CO-121 Aplicación de Técnicas Analíticas Avanzadas en el Desarrollo de Nuevas Formulaciones para la Limpieza de Barnices en Obras de Arte

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    Cuando se lleva a cabo la limpieza de suciedad y de barniz en obras de arte con disolvente o emulsiones en medio acuoso es necesario considerar los efectos que pueden ocasionar sobre la policromía original. Este trabajo recoge los resultados de un estudio experimental sobre la eficacia de diferentes emulsiones a base de limonero para la limpieza de barnices en obras de arte, analizando su grado de eficacia, la permanencia de residuos en superficie y las posibles interacciones con las capas de policromía. La eficacia del tratamiento se ha comprobado mediante iluminación con luz ultravioleta, microscopía óptica polarizada, espectroscopía micro-Raman y cromatografía de gases acoplada a espectometría de masas

    Analysis of the Acid Detergent Fibre Content in Turnip Greens and Turnip Tops (Brassica rapa L. Subsp. rapa) by Means of Near-Infrared Reflectance

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    Standard wet chemistry analytical techniques currently used to determine plant fibre constituents are costly, time-consuming and destructive. In this paper the potential of near-infrared reflectance spectroscopy (NIRS) to analyse the contents of acid detergent fibre (ADF) in turnip greens and turnip tops has been assessed. Three calibration equations were developed: in the equation without mathematical treatment the coefficient of determination (R2) was 0.91, in the first-derivative treatment equation R2 = 0.95 and in the second-derivative treatment R2 = 0.96. The estimation accuracy was based on RPD (the ratio between the standard deviation and the standard error of validation) and RER (the ratio between the range of ADF of the validation as a whole and the standard error of prediction) of the external validation. RPD and RER values were of 2.75 and 9.00 for the treatment without derivative, 3.41 and 11.79 with first-derivative, and 3.10 and 11.03 with second-derivative. With the acid detergent residue spectrum the wavelengths were identified and associated with the ADF contained in the sample. The results showed a great potential of NIRS for predicting ADF content in turnip greens and turnip tops

    Response Surface Model Applied to Fine Arts: The Case of the Restoration of Paintings

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    Cleaning polychrome paintings and sculptures is an essential task in restoration treatment, since it irreversibly affects the appearance and material structure of such works of art. It is a completely “analogical” process consisting of removing surface dirt, aged varnishes or repainting (paints added to the original) based on the restorer’s experience and knowledge, as well as on different internationally accepted criteria for such interventions. In this chapter we are presenting an example of the adaptation of the response surface model to this field, which is complex and difficult to adapt to quantitative parameters and has never before been studied with this approach. Using the MODDE Go® experiment optimization and statistical design software, the effectiveness of cleaning pictorial works of art has been studied using various formulas composed mainly of water and a low-toxicity monoterpene: limonene. The model’s statistical validity is demonstrated, as well as its ability to determine the main factors that affect the cleaning by means of different responses (methods) to evaluate its effectiveness: an expert’s opinion using visible light and ultraviolet light, the amount of varnish removed using gas chromatography coupled with mass spectrometry, and the effects on color, lightness and gloss. The main influential factors were the concentrations of the two main components of the proposed formulations, water and limonene, which regulate the cleaners’ level of hydrophilia and lipophilicity, followed by the types of pigments and type of varnish used, and aging. Using an in silico simulation, the proposed model also enables specific compositions to be formulated for different scenarios and cleaning applications that are potentially effective and harmless to the pictorial materials and the restorers’ health

    Visualization and evolution of the scientific structure of fuzzy sets research in Spain

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    Introduction. Presents the first bibliometric study on the evolution of the fuzzy sets theory field. It is specially focused on the research carried out by the Spanish comunity. Method. The CoPalRed software, for network analysis, and the co-word analysis technique are used. Analysis. Bibliometric maps showing the main associations among the main concepts in the field are provided for the periods 1965-1993, 1994-1998, 1999-2003 and 2004-2008. Results. The bibliometric maps obtained provide insight into the structure of the fuzzy sets theory research in the Spanish community, visualize the research subfields, and show the existing relationships between those subfields. Furthermore, we compare the Spanish community with other countries (the USA and Canada; the UK and Germany; and Japan and Peoples Republic of China). Conclusions. As a result of the analysis, a complete study of the evolution of the Spanish fuzzy sets community and an analysis of its international importance are presented.Introducción. Presenta el primer estudio bibliométrico sobre la evolución del campo de la teoría de conjuntos difusos. Se centra especialmente en la investigación llevada a cabo por la comunidad española. Método. Se utiliza el software de CoPalRed, para el análisis de red, y la técnica de anñlisis de co-palabras. Aná;lisis. Se proporcionan mapas bibliométricos mostrando las principales asociaciones entre los principales conceptos en el campo para los períodos de 1965-1993, 1994-1998, 1999-2003 y 2004-2008. Resultados. Los mapas bibliométricos obtenidos proporcionan conocimientos sobre la estructura de la investigación sobre teoría de conjuntos difusos en la comunidad española, visualizan los subcampos de investigación y muestran las relaciones existentes entre los subcampos. Ademñs, se compara la comunidad española con otros países (Estados Unidos y Canada; Reino Unido y Alemania; y Japón y República Popular China). Conclusiones. Como resultado de los análisis, se presenta un estudio completo de la evolución de la comunidad española en conjuntos difusos y un anñlisis de su importancia internacional.This work has been supported by the Spanish project FUZZY-LING, Cod. TIN2007-61079, granted by the Spanish Agency for Education and Science (Ministerio de Educación y Ciencia)

    Role of age and comorbidities in mortality of patients with infective endocarditis

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    [Purpose]: The aim of this study was to analyse the characteristics of patients with IE in three groups of age and to assess the ability of age and the Charlson Comorbidity Index (CCI) to predict mortality. [Methods]: Prospective cohort study of all patients with IE included in the GAMES Spanish database between 2008 and 2015.Patients were stratified into three age groups:<65 years,65 to 80 years,and ≥ 80 years.The area under the receiver-operating characteristic (AUROC) curve was calculated to quantify the diagnostic accuracy of the CCI to predict mortality risk. [Results]: A total of 3120 patients with IE (1327 < 65 years;1291 65-80 years;502 ≥ 80 years) were enrolled.Fever and heart failure were the most common presentations of IE, with no differences among age groups.Patients ≥80 years who underwent surgery were significantly lower compared with other age groups (14.3%,65 years; 20.5%,65-79 years; 31.3%,≥80 years). In-hospital mortality was lower in the <65-year group (20.3%,<65 years;30.1%,65-79 years;34.7%,≥80 years;p < 0.001) as well as 1-year mortality (3.2%, <65 years; 5.5%, 65-80 years;7.6%,≥80 years; p = 0.003).Independent predictors of mortality were age ≥ 80 years (hazard ratio [HR]:2.78;95% confidence interval [CI]:2.32–3.34), CCI ≥ 3 (HR:1.62; 95% CI:1.39–1.88),and non-performed surgery (HR:1.64;95% CI:11.16–1.58).When the three age groups were compared,the AUROC curve for CCI was significantly larger for patients aged <65 years(p < 0.001) for both in-hospital and 1-year mortality. [Conclusion]: There were no differences in the clinical presentation of IE between the groups. Age ≥ 80 years, high comorbidity (measured by CCI),and non-performance of surgery were independent predictors of mortality in patients with IE.CCI could help to identify those patients with IE and surgical indication who present a lower risk of in-hospital and 1-year mortality after surgery, especially in the <65-year group

    The Unified Scientometric Model. Fractality and transfractality

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    A Unified Scientometric Model has been developed on the basis of seven principles: the actornetwork principle, the translation principle, the spatial principle, the quantativity principle, the composition principle, the centre-periphery or nucleation principle, and the unified principle of cumulative advantages. The paradigm of the fractal model has been expanded by introducing the concept of fractality index and transfractality. In this work, as the first demonstration of the power of the model proposed, all the bibliometric laws known and all their mathematical expressions are deduced, both the structural distributions (Zipf, Bradford and Lotka) as well as the Price's Law of the exponential growth of science and Brookes' and Avramescu's Laws of ageing

    Structure and dinamics of scientific networks. Part II: The new Zipf's law, the clusters of co-citations and the model of the descriptor presence

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    Here, the quantitative theory of translation is shown to be of great utility on describing scientific networks
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