Cambios producidos en al arte por su inclusión en el sistema-red

Tesis inédita de la Universidad Complutense de Madrid, Facultad de Ciencias de la Información, Departamento de Comunicación Audiovisual y Publicidad II, leída el 03/12/2010La introducción del arte en el sistema-red, ha creado cambios significativos en el paradigma artístico, tanto dentro del espacio cibernético, como fuera de el mismo. Igualmente se han producido cambios en la idea del artista, del objeto artístico y d e la Institución. Se han contemplado nuevas formas de crear arte, ya que cualquier forma expresiva conocida hasta la fecha, se manifiesta en un primer instante en forma de mensaje, y estará sujeta al flujo rizomático propio del sistema-red.Depto. de Teorías y Análisis de la ComunicaciónFac. de Ciencias de la InformaciónTRUEunpu

Localized culture as a social answer to the Network: The case of the Tabacoo Factory in Madrid

En las últimas décadas la Red ha provocado profundos cambios en la manera en que se entiende la información, la comunicación y, por extensión, la política, la economía, la sociedad y el concepto amplio de cultura. Estos cambios vienen claramente definidos porque se ha modificado la forma de actuar a través de las TIC, la cual es interactiva, colaborativa, participativa y sin jerarquía. Hasta no hace mucho, estos comportamientos estaban asociados únicamente al mundo virtual, pero actualmente existen colectivos que se agrupan en localizaciones determinadas para gestionarlas de una manera similiar a la que hemos aprehendido de la Red. Estas experiencias ejemplifican el concepto de cultura localizada, analizada en este artículo a través del ejemplo del Centro Social Autogestionado LTBC (La Fábrica de Tabacalera) en Madrid.In the last decades the Network has provoked deep changes on our understanding of information, communication and, by extension, of politics, economy, society and the broad concept of culture. These changes have been caused by the way we act through ICT, which is interactive, collaborative, participatory and non-hierarchical. Until now, these behaviors were only associated to the virtual world, but currently there are groups clustered in specific locations that manage them in way very similar to that learned on the web. These experiences illustrate the concept of localized culture, analysed in this paper through the case study of the Self-Managed Community Center Tobacco Factory in Madrid.Universidad de Granada. Departamento de Historia del Art

Cambios producidos en al arte por su inclusión en el sistema-red

La introducción del arte en el sistema-red, ha creado cambios significativos en el paradigma artístico, tanto dentro del espacio cibernético, como fuera de el mismo. Igualmente se han producido cambios en la idea del artista, del objeto artístico y d e la Institución. Se han contemplado nuevas formas de crear arte, ya que cualquier forma expresiva conocida hasta la fecha, se manifiesta en un primer instante en forma de mensaje, y estará sujeta al flujo rizomático propio del sistema-red

Opening the 21st Century Technologies to Industries: On the Special Issue Machine Learning for Society

Machine learning techniques, more commonly known today as artificial intelligence, are playing an increasingly important role in all aspects of our lives. Their applications extend to all areas of society where similar techniques can be accommodated to provide efficient and interesting solutions to a wide range of problems. In this Special Issue entitled Machine Learning for Society [1], we present some examples of the applications of this type of technique. From the valuation of unlisted companies to the characterization of clients, through the detection of financial crises or the prediction of the behavior of the exchange rate, this group of works presented here has in common the search for efficient solutions based on a set of historical data, and the application of artificial intelligence techniques. The techniques and datasets used, as well as the relevant findings developed in the different articles of this Special Issue, are summarized below

On the Differential Analysis of Enterprise Valuation Methods as a Guideline for Unlisted Companies Assessment (II): Applying Machine-Learning Techniques for Unbiased Enterprise Value Assessment

The search for an unbiased company valuation method to reduce uncertainty, whether or not it is automatic, has been a relevant topic in social sciences and business development for decades. Many methods have been described in the literature, but consensus has not been reached. In the companion paper we aimed to review the assessment capabilities of traditional company valuation model, based on company’s intrinsic value using the Discounted Cash Flow (DCF). In this paper, we capitalized on the potential of exogenous information combined with Machine Learning (ML) techniques. To do so, we performed an extensive analysis to evaluate the predictive capabilities with up to 18 different ML techniques. Endogenous variables (features) related to value creation (DCF) were proved to be crucial elements for the models, while the incorporation of exogenous, industry/country specific ones, incrementally improves the ML performance. Bagging Trees, Supported Vector Machine Regression, Gaussian Process Regression methods consistently provided the best results. We concluded that an unbiased model can be created based on endogenous and exogenous information to build a reference framework, to price and benchmark Enterprise Value for valuation and credit risk assessment

Sentiment Analysis of Political Tweets From the 2019 Spanish Elections

The use of sentiment analysis methods has increased in recent years across a wide range of disciplines. Despite the potential impact of the development of opinions during political elections, few studies have focused on the analysis of sentiment dynamics and their characterization from statistical and mathematical perspectives. In this paper, we apply a set of basic methods to analyze the statistical and temporal dynamics of sentiment analysis on political campaigns and assess their scope and limitations. To this end, we gathered thousands of Twitter messages mentioning political parties and their leaders posted several weeks before and after the 2019 Spanish presidential election. We then followed a twofold analysis strategy: (1) statistical characterization using indices derived from well-known temporal and information metrics and methods –including entropy, mutual information, and the Compounded Aggregated Positivity Index– allowing the estimation of changes in the density function of sentiment data; and (2) feature extraction from nonlinear intrinsic patterns in terms of manifold learning using autoencoders and stochastic embeddings. The results show that both the indices and the manifold features provide an informative characterization of the sentiment dynamics throughout the election period. We found measurable variations in sentiment behavior and polarity across the political parties and their leaders and observed different dynamics depending on the parties’ positions on the political spectrum, their presence at the regional or national levels, and their nationalist or globalist aspirations

On the Statistical and Temporal Dynamics of Sentiment Analysis

Despite the broad interest and use of sentiment analysis nowadays, most of the conclusions in current literature are driven by simple statistical representations of sentiment scores. On that basis, the generated sentiment evaluation consists nowadays of encoding and aggregating emotional information from a number of individuals and their populational trends. We hypothesized that the stochastic processes aimed to be measured by sentiment analysis systems will exhibit nontrivial statistical and temporal properties. We established an experimental setup consisting of analyzing the short text messages (tweets) of 6 user groups with different nature (universities, politics, musicians, communication media, technological companies, and financial companies), including in each group ten high-intensity users in their regular generation of traffic on social networks. Statistical descriptors were checked to converge at about 2000 messages for each user, for which messages from the last two weeks were compiled using a custom-made tool. The messages were subsequently processed for sentiment scoring in terms of different lexicons currently available and widely used. Not only the temporal dynamics of the resulting score time series per user was scrutinized, but also its statistical description as given by the score histogram, the temporal autocorrelation, the entropy, and the mutual information. Our results showed that the actual dynamic range of lexicons is in general moderate, and hence not much resolution is given within their end-of-scales. We found that seasonal patterns were more present in the time evolution of the number of tweets, but to a much lesser extent in the sentiment intensity. Additionally, we found that the presence of retweets added negligible effects over standard statistical modes, while it hindered informational and temporal patterns. The innovative Compounded Aggregated Positivity Index developed in this work proved to be characteristic for industries and at ..

Overexpression of AtGRDP2, a novel glycine-rich domain protein, accelerates plant growth and improves stress tolerance

"Proteins with glycine-rich signatures have been reported in a wide variety of organisms including plants, mammalians, fungi, and bacteria. Plant glycine-rich protein genes exhibit developmental and tissue-specific expression patterns. Herein, we present the characterization of the AtGRDP2 gene using Arabidopsis null and knockdown mutants and, Arabidopsis and lettuce over-expression lines. AtGRDP2 encodes a short glycine-rich domain protein, containing a DUF1399 domain and a putative RNA recognition motif (RRM). AtGRDP2 transcript is mainly expressed in Arabidopsis floral organs, and its deregulation in Arabidopsis Atgrdp2 mutants and 35S::AtGRDP2 over-expression lines produces alterations in development. The 35S::AtGRDP2 over-expression lines grow faster than the WT, while the Atgrdp2 mutants have a delay in growth and development. The over-expression lines accumulate higher levels of indole-3-acetic acid and, have alterations in the expression pattern of ARF6, ARF8, and miR167 regulators of floral development and auxin signaling. Under salt stress conditions, 35S::AtGRDP2 over-expression lines displayed higher tolerance and increased expression of stress marker genes. Likewise, transgenic lettuce plants over-expressing the AtGRDP2 gene manifest increased growth rate and early flowering time. Our data reveal an important role for AtGRDP2 in Arabidopsis development and stress response, and suggest a connection between AtGRDP2 and auxin signaling.

Lo tangible e intangible del diseño

1 archivo PDF (366 páginas)"El Departamento de Evaluación del Diseño, en el Tiempo de la División de Ciencias y Artes para el Diseño de la Universidad Autónoma Metropolitana, Azcapotzalco, publica este libro colectivo, donde se aborda la discusión y el análisis sobre "Lo tangible e intangible del diseño". Este libro tiene como finalidad el profundizar en distintas posiciones teóricas, metodológicas y empíricas, donde un grupo interdisciplinario de profesores investigadores del Departamento de Evaluación, desde la arquitectura, los estudios urbanos, la educación, la historia, la semiótica, el diseño de la comunicación gráfica y el industrial; buscan convergencias y discuten divergencias que puedan generar servir como referentes intelectuales y teóricos, en el diseño. Este libro es resultado del Cuarto Coloquio Departamental: Lo tangible e Intangible del Diseño. Evaluación de Objetos, Espacios, Mensajes, realizado durante el mes de septiembre del año 2004, el cual se constituyó como un espacio para el intercambio de experiencias académicas y profesionales, desde una perspectiva interdisciplinaria, centrada en la reflexión y la discusión sobre la manera de cómo se puede analizar, definir y evaluar, lo tangible y lo intangible en el diseño"

Prospective associations between a priori dietary patterns adherence and kidney function in an elderly Mediterranean population at high cardiovascular risk

Purpose To assess the association between three different a priori dietary patterns adherence (17-item energy reduced-Mediterranean Diet (MedDiet), Trichopoulou-MedDiet and Dietary Approach to Stop Hypertension (DASH)), as well as the Protein Diet Score and kidney function decline after one year of follow-up in elderly individuals with overweight/obesity and metabolic syndrome (MetS). Methods We prospectively analyzed 5675 participants (55-75 years) from the PREDIMED-Plus study. At baseline and at one year, we evaluated the creatinine-based estimated glomerular filtration rate (eGFR) and food-frequency questionnaires-derived dietary scores. Associations between four categories (decrease/maintenance and tertiles of increase) of each dietary pattern and changes in eGFR (ml/min/1.73m(2)) or >= 10% eGFR decline were assessed by fitting multivariable linear or logistic regression models, as appropriate. Results Participants in the highest tertile of increase in 17-item erMedDiet Score showed higher upward changes in eGFR (beta: 1.87 ml/min/1.73m(2); 95% CI: 1.00-2.73) and had lower odds of >= 10% eGFR decline (OR: 0.62; 95% CI: 0.47-0.82) compared to individuals in the decrease/maintenance category, while Trichopoulou-MedDiet and DASH Scores were not associated with any renal outcomes. Those in the highest tertile of increase in Protein Diet Score had greater downward changes in eGFR (beta: - 0.87 ml/min/1.73m(2); 95% CI: - 1.73 to - 0.01) and 32% higher odds of eGFR decline (OR: 1.32; 95% CI: 1.00-1.75). Conclusions Among elderly individuals with overweight/obesity and MetS, only higher upward change in the 17-item erMedDiet score adherence was associated with better kidney function after one year. However, increasing Protein Diet Score appeared to have an adverse impact on kidney health. Trial Registration Number: ISRCTN89898870 (Data of registration: 2014).Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work was supported by the official Spanish Institutions for funding scientific biomedical research, CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN) and Instituto de Salud Carlos III (ISCIII), through the Fondo de Investigacion para la Salud (FIS), which is co-funded by the European Regional Development Fund (six coordinated FIS projects leaded by JS-S and JVi, including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926, PI19/00957, PI19/00386, PI19/00309, PI19/01032, PI19/00576, PI19/00017, PI19/01226, PI19/00781, PI19/01560, PI19/01332, PI20/01802, PI20/00138, PI20/01532, PI20/00456, PI20/00339, PI20/00557, PI20/00886, PI20/01158); the Especial Action Project entitled: Implementacion y evaluacion de una intervencion intensiva sobre la actividad fisica Cohorte PREDIMED-Plus grant to JS-S; the European Research Council (Advanced Research Grant 2014-2019; agreement #340918) granted to MAMG.; the Recercaixa (number 2013ACUP00194) grant to JS-S; grants from the Consejeria de Salud de la Junta de Andalucia (PI0458/2013, PS0358/2016, PI0137/2018); the PROMETEO/2017/017 and the PROMETEO 21/2021 grant from the Generalitat Valenciana; the SEMERGEN grant; the Boosting young talent call grant program for the development of IISPV research projects 2019-2021 (Ref.: 2019/IISPV/03 grant to AD-L); the Societat Catalana d'Endocrinologia i Nutricio (SCEN) Clinical-Research Grant 2019 (IPs: JS-S and AD-L). Collaborative Nutrition and/or Obesity Project for Young Researchers 2019 supported by CIBEROBN entitled: Lifestyle Interventions and Chronic Kidney Disease: Inflammation, Oxidative Stress and Metabolomic Profile (LIKIDI study) grant to AD-L. Jordi Salas-Salvado, gratefully acknowledges the financial support by ICREA under the ICREA Academia programme. M.R.-G., is supported by the Ministry of Education of Spain (FPU17/06488). None of the funding sources took part in the design, collection, analysis, interpretation of the data, or writing the report, or in the decision to submit the manuscript for publication