El nuevo Geoportal de la Diputación de Badajoz: las TIG al servicio del ciudadano

El ciudadano cada vez goza de un mayor protagonismo, que viene motivado fundamentalmente por su ansias de saber, de conocer, y en una gran medida de participar, de colaborar y de sentirse parte de la sociedad en la que vive .No ajenos a esta realidad, desde el Servicio de Información Geográfica de la Diputación de Badajoz nos adentramos, hace ocho meses, en un proyecto ilusionante, de cambio radical en nuestra forma de ver, de presentar y de acercar la información al ciudadano, y por supuesto de hacerle partícipe de lo que ocurre a su alrededor

Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling

Background: Nowadays, many public repositories containing large microarray gene expression datasets are available. However, the problem lies in the fact that microarray technology are less powerful and accurate than more recent Next Generation Sequencing technologies, such as RNA-Seq. In any case, information from microarrays is truthful and robust, thus it can be exploited through the integration of microarray data with RNA-Seq data. Additionally, information extraction and acquisition of large number of samples in RNA-Seq still entails very high costs in terms of time and computational resources.This paper proposes a new model to find the gene signature of breast cancer cell lines through the integration of heterogeneous data from different breast cancer datasets, obtained from microarray and RNA-Seq technologies. Consequently, data integration is expected to provide a more robust statistical significance to the results obtained. Finally, a classification method is proposed in order to test the robustness of the Differentially Expressed Genes when unseen data is presented for diagnosis. Results: The proposed data integration allows analyzing gene expression samples coming from different technologies. The most significant genes of the whole integrated data were obtained through the intersection of the three gene sets, corresponding to the identified expressed genes within the microarray data itself, within the RNA-Seq data itself, and within the integrated data from both technologies. This intersection reveals 98 possible technology-independent biomarkers. Two different heterogeneous datasets were distinguished for the classification tasks: a training dataset for gene expression identification and classifier validation, and a test dataset with unseen data for testing the classifier. Both of them achieved great classification accuracies, therefore confirming the validity of the obtained set of genes as possible biomarkers for breast cancer. Through a feature selection process, a final small subset made up by six genes was considered for breast cancer diagnosis. Conclusions: This work proposes a novel data integration stage in the traditional gene expression analysis pipeline through the combination of heterogeneous data from microarrays and RNA-Seq technologies. Available samples have been successfully classified using a subset of six genes obtained by a feature selection method. Consequently, a new classification and diagnosis tool was built and its performance was validated using previously unseen samples.This work was supported by Project TIN2015-71873-R (Spanish Ministry of Economy and Competitiveness -MINECO- and the European Regional Development Fund -ERDF)

Leukemia multiclass assessment and classification from Microarray and RNA-seq technologies integration at gene expression level

In more recent years, a significant increase in the number of available biological experiments has taken place due to the widespread use of massive sequencing data. Furthermore, the continuous developments in the machine learning and in the high performance computing areas, are allowing a faster and more efficient analysis and processing of this type of data. However, biological information about a certain disease is normally widespread due to the use of different sequencing technologies and different manufacturers, in different experiments along the years around the world. Thus, nowadays it is of paramount importance to attain a correct integration of biologically-related data in order to achieve genuine benefits from them. For this purpose, this work presents an integration of multiple Microarray and RNA-seq platforms, which has led to the design of a multiclass study by collecting samples from the main four types of leukemia, quantified at gene expression. Subsequently, in order to find a set of differentially expressed genes with the highest discernment capability among different types of leukemia, an innovative parameter referred to as coverage is presented here. This parameter allows assessing the number of different pathologies that a certain gen is able to discern. It has been evaluated together with other widely known parameters under assessment of an ANOVA statistical test which corroborated its filtering power when the identified genes are subjected to a machine learning process at multiclass level. The optimal tuning of gene extraction evaluated parameters by means of this statistical test led to the selection of 42 highly relevant expressed genes. By the use of minimum- Redundancy Maximum-Relevance (mRMR) feature selection algorithm, these genes were reordered and assessed under the operation of four different classification techniques. Outstanding results were achieved by taking exclusively the first ten genes of the ranking into consideration. Finally, specific literature was consulted on this last subset of genes, revealing the occurrence of practically all of them with biological processes related to leukemia. At sight of these results, this study underlines the relevance of considering a new parameter which facilitates the identification of highly valid expressed genes for simultaneously discerning multiple types of leukemia.This work was supported by Project TIN2015-71873-R (Spanish Ministry of Economy and Competitiveness -MINECO- and the European Regional Development Fund -ERDF) and Junta de Andalucı´a (P12–TIC–2082)

POR UNA CULTURA DE PAZ: UNA MIRADA DESDE LAS CIENCIAS DE LA CONDUCTA

En
 virtud
 de
 lo
 anterior,
 los
 estudiosos
 de
 las
 ciencias
 de
 la
 conducta
 
de
 la
 Universidad
Autónoma 
del
 Estado 
de 
México,

ante 
la
persistencia
 y 
proliferación
 de
 estos 
hechos
 en
 diversas
 partes
 del
Mundo
 y
 de
 nuestro 
país 
en 
particular, se
 convocó
 a
 los
 estudiosos
 interesados
 y
 a
 la
 sociedad
 en
 general
 a
 presentar
 trabajos
 para
 analizar,
 debatir
 y
 proponer
 estrategias
 de
 acción
 y
 dirección,
 que
 fortalezcan
 una
 convivencia y bienestar con sentido humanista para una cultura de paz. El
 presente
 texto
 es
 producto
 de 
esta convocatoria 
que
 recoge 
los
trabajos 
de 

los
 interesados 
en 
la
 temática,

 de
 diferentes 
países
(España,
Argentina,
Cuba,
Brasil,
Costa
 Rica
 y
 México)
 retomando
 con
 ello
 sus
 experiencias
 relativas
 al
 estudio,
 análisis,
 comprensión
 e
 instrumentación
 de
 la
 cultura
 de
 paz
 en
 los
 distintos
 ámbitos
 institucionales
 en
 los
 que
 participan:
 educativo,
 salud,
 penitenciario,
 social,
laboral,
familia,
alimentario,
psicológico,
por 
mencionar 
algunos.
 El
 presente
 libro,
 propicia
 un
 espacio
 de
 reflexión,
 diálogo
 y
 posicionamiento
 de
 las 
ciencias 
de 
la 
conducta
 para 
la 
apropiación,
análisis,
debate
 y 
propuestas 
que
 fortalezcan 
una
 cultura
 de 
paz
 a
través
 de 
la
 convivencia 
y
 el 
bienestar
 social 
con
 sentido 
humanista.
El
 sistema 
económico
 neoliberal
 y 
el 
proceso
 de 
globalización 
han
 contribuido
al
 logro
 de
 avances
 significativos
 en
 la
 ciencia
 y
 la
 tecnología,
 pero
 también
 han
 propiciado
 la
 polarización
 de
 las
 sociedades
 lo
 que
 ha
 impactado
 de
 manera
 negativa
 a
 la
 sociedad
 en
 su
 conjunto,
 pero
 en
 mayor
 medida
 a
 los grupos
 vulnerables. Dicha
 polarización
 ha
 traído
 consigo
 un
 desarrollo
 desigual
 del
 mundo
 que
 se
 expresa
 de
 diferentes
 maneras
 tanto
 en
 países
 desarrollados
 como
 en
 los
 llamados
 del
 tercer
 mundo,
 en
 donde
 no
 están
 satisfechas
 las
 necesidades
 humanas 
elementales
 de
 todos 
los
sectores 
de 
la 
población,
siempre 
falta 
algo. 
Si 
a
 esto 
le
 sumamos 
los
conflictos
 internacionales por
 diferentes
 motivos
 que
 enfrentan
 algunas
 naciones,
 una
 insuficiente
 cobertura
 educativa
 y
 de
 salud,

 desempleo
 y
 pobreza 
extrema,
 entre 
otras
 cosas; 
estamos
 frente
 a
retos 
de
 gran
 envergadura
 para
 los
 gobiernos,
 para
 los
 estudiosos
 y
 para
 la
 sociedad
 civil
 en
 general. Uno 
de 
los
 intentos
 para
 frenar 
y prevenir 
la
 agudización
 de 
estas 
problemáticas
 es
 la
 cultura 
de 
paz,
cuyo
 estudio
y propuestas 
han 
ido 
avanzando 
en 
diferentes
 sentidos 
y 
de 
manera 
favorable,
el 
tema 
está 
presente 
en 
diferentes 
Organismos
 Internacionales
 como
 la
 ONU,
 la
 UNESCO,
 la
 OCDE,
 El
 Banco
 Mundial,
 entre
 otros.
 Pero
 falta 
mucho 
por 
hacer.Universidad Autónoma del Estado de Méxic

Conferencia internacional. Desafíos de la Investigación e innovación en tiempos de Covid-19

En 2018, Treinta y nueve estudiantes femeninas del X ciclo del periodo 2018-1 de la escuela de Psicología de una universidad particular del cono norte de Lima, ellas han descrito el romance de su personas cercanas a ellas. Se analizaron los 266 casos de parejas de enamorados estaban el rango de 17 a 25 años. El instrumento que se usó fue una CUESTIONARIO CUPIDO que es una escala nominal de conductas donde las estudiantes de psicología clasificaban los comportamientos en categorías preestablecidas, claramente definidas y mutuamente excluyentes. La conclusión más importante del estudio observacional fue que las parejas analizadas en un 64.4 % la mujer ero atrajo al varón y después el varón emo conectó con la mujer. También han observado otro estilo de romance cuando el varón ero atrajo a la mujer por su cuerpo atracción y después la mujer fue la que emo conectó con el varón y observaron este hecho en un 35.6 % de los casos

O mercado da identidade. O nativismo entre o colecionismo e as galerias durante o século XX

El presente artículo indagará en la presencia y circulación del nativismo en el mercado de arte argentino, entre 1910 y 1970. Para ello, realizaré una reconstrucción del contexto de surgimiento del nativismo como campo temático y, posteriormente, abordaré dos casos que se constituyen como paradigmas de su supervivencia: la trayectoria de Jorge Bermúdez (uno de los primeros artistas nativistas en alcanzar la consagración) y la obra de Antonio Berni (que circuló por el mercado durante la segunda mitad del siglo). Como hipótesis general, sostengo que la prolongada vida del nativismo se correspondió con una presencia constante de estas obras en colecciones y galerías privadas.This paper will inquire the presence and circulation of nativism in the Argentine art market between 1910 and 1970. To that end, I will first reconstruct the context of emergence of nativism as a thematic field and, later, I will address two cases which constitute paradigms of survival—the trajectory of Jorge Bermúdez (one of the first nativist artists to achieve success) and the work of Antonio Berni (which circulated through the market during the second half of the century). As a general hypothesis, I will maintain that the prolonged life of nativism was accompanied by a constant presence of these works in private collections and galleries.O presente artigo investigará a presença e a circulação do nativismo no mercado da arte argentino, entre 1910 e 1970. Para tanto, realizarei uma reconstrução do contexto de surgimento do nativismo como campo temático e, posteriormente, ocupar-me-ei de dois casos que se constituem como paradigmas da sua sobrevivência: a trajetória de Jorge Bermúdez (um dos primeiros artistas nativistas que alcançaram consagração) e a obra de Antonio Berni (que circulou pelo mercado durante a segunda metade do século). Como hipótese geral, sustento que a prolongada vida do nativismo corresponde a uma presença constante dessas obras em coleções e galerias privadas.Fil: Fasce, Pablo Javier. Universidad Nacional de San Martín. Instituto de Altos Estudios Sociales; Argentina. Universidad Nacional de San Martín. Centro de Investigaciones en Arte y Patrimonio. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Arte y Patrimonio; Argentin

Treatment with tocilizumab or corticosteroids for COVID-19 patients with hyperinflammatory state: a multicentre cohort study (SAM-COVID-19)

Objectives: The objective of this study was to estimate the association between tocilizumab or corticosteroids and the risk of intubation or death in patients with coronavirus disease 19 (COVID-19) with a hyperinflammatory state according to clinical and laboratory parameters. Methods: A cohort study was performed in 60 Spanish hospitals including 778 patients with COVID-19 and clinical and laboratory data indicative of a hyperinflammatory state. Treatment was mainly with tocilizumab, an intermediate-high dose of corticosteroids (IHDC), a pulse dose of corticosteroids (PDC), combination therapy, or no treatment. Primary outcome was intubation or death; follow-up was 21 days. Propensity score-adjusted estimations using Cox regression (logistic regression if needed) were calculated. Propensity scores were used as confounders, matching variables and for the inverse probability of treatment weights (IPTWs). Results: In all, 88, 117, 78 and 151 patients treated with tocilizumab, IHDC, PDC, and combination therapy, respectively, were compared with 344 untreated patients. The primary endpoint occurred in 10 (11.4%), 27 (23.1%), 12 (15.4%), 40 (25.6%) and 69 (21.1%), respectively. The IPTW-based hazard ratios (odds ratio for combination therapy) for the primary endpoint were 0.32 (95%CI 0.22-0.47; p < 0.001) for tocilizumab, 0.82 (0.71-1.30; p 0.82) for IHDC, 0.61 (0.43-0.86; p 0.006) for PDC, and 1.17 (0.86-1.58; p 0.30) for combination therapy. Other applications of the propensity score provided similar results, but were not significant for PDC. Tocilizumab was also associated with lower hazard of death alone in IPTW analysis (0.07; 0.02-0.17; p < 0.001). Conclusions: Tocilizumab might be useful in COVID-19 patients with a hyperinflammatory state and should be prioritized for randomized trials in this situatio

re-habitar El Carmen : Un proyecto sobre patrimonio contemporáneo

El proyecto _re-HABITAR suponía para el propio proceder de la institución un avance más allá del reconocimiento, registro, inventario o protección patrimonial de la arquitectura del siglo XX y del Movimiento Moderno para posicionarse en la acción preventiva y conservativa de ese legado contemporáneo. Para ello, la praxis patrimonial se aferraba a un modelo: el de la vivienda social en España en la segunda mitad del siglo XX; a un caso concreto: el de la barriada de Nuestra Señora del Carmen (Recasens Méndez-Queipo de Llano, 1958); y a un requisito fundamental: analizar un objeto vivo y en uso, aún con la presencia de quienes lo vivieron y usaron desde su origen

Use of bioceramics enhanced with effective microorganisms as an additive for construction: study of physical and mechanical properties in cement mortars and gypsum plasters

Biomaterials are materials that are used to manufacture devices that interact with biological systems. According to their chemical composition, they can be classified as biometals, biopolymers, bioceramics, biocomposites and semiconductors. Thus, in the present work, the application of bioceramics, enhanced with effective microorganisms, to construction materials (cement mortars and gypsum plasters) was studied in order to see the benefits that its incorporation contributes to construction materials. This first work constitutes the first phase of an experimental campaign in which the influence of bioceramics on the physical and mechanical properties (flexural and compressive strength) of the studied materials was analyzed. Furthermore, scanning electron microscopy (SEM) and mercury intrusion porosimetry (MIP) techniques were used. According to the results, a slight improvement in the mechanical properties of the new composites was observed. Besides, a more compact matrix was observed when bioceramics were used as an aggregate to the mixtures

KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge

This work was funded by the Spanish Ministry of Sciences, Innovation and Universities under Project RTI2018-101674-B-I00 titled "Computer Architectures and Machine Learningbased solutions for complex challenges in Bioinformatics, Biotechnology and Biomedicine", in collaboration with the Government of Andalusia under Postdoctoral Grant P12TIC2082. The funders had no role in study design, datacollection and analysis, decision to publish, or preparation of this manuscript. The results published here are in whole or part based upon data generated by the TCGA Research Network: https:// www.cancer. gov/tcga.KnowSeq R/Bioc package is designed as a powerful, scalable and modular software focused on automatizing and assembling renowned bioinformatic tools with new features and functionalities. It comprises a unified environment to perform complex gene expression analyses, covering all the needed processing steps to identify a gene signature for a specific disease to gather understandable knowledge. This process may be initiated from raw files either available at well-known platforms or provided by the users themselves, and in either case coming from different information sources and different Transcriptomic technologies. The pipeline makes use of a set of advanced algorithms, including the adaptation of a novel procedure for the selection of the most representative genes in a given multiclass problem. Similarly, an intelligent system able to classify new patients, providing the user the opportunity to choose one among a number of well-known and widespread classification and feature selection methods in Bioinformatics, is embedded. Furthermore, KnowSeq is engineered to automatically develop a complete and detailed HTML report of the whole process which is also modular and scalable. Biclass breast cancer and multiclass lung cancer study cases were addressed to rigorously assess the usability and efficiency of KnowSeq. The models built by using the Differential Expressed Genes achieved from both experiments reach high classification rates. Furthermore, biological knowledge was extracted in terms of Gene Ontologies, Pathways and related diseases with the aim of helping the expert in the decision-making process. KnowSeq is available at Bioconductor (https://bioconductor.org/packages/KnowSeq), GitHub (https://github.com/CasedUgr/KnowSeq) and Docker (https://hub.docker.com/r/casedugr/knowseq).Spanish Ministry of Sciences, Innovation and Universities RTI2018-101674-B-I00Government of Andalusia P12TIC208