Hacia una educación intercultural inclusiva. El caso del alumnado inmigrante en la escuela en España

Este texto discute el aumento de la migración y de la diversidad cultural y el consiguiente desarrollo de la educación intercultural en contexto español. Esta situación plantea el gran desafío de la formación del profesorado para la promoción de la educación intercultural inclusiva y crítica. El texto se articula en torno a las aportaciones del proyecto europeo Quammelot, que desarrolla investigación, intervención, formación y buenas prácticas sobre inclusión educativa y social del alumnado inmigrante y de los Menores Extranjeros No Acompañados (MENAS), con foco específico en el sistema educativo, en las edades de12 a 18 años, y en las relaciones entre escuelas, población inmigrante y territorio. Se ofrece una revisión de la literatura sobre la inclusión del alumnado inmigrante y de los menores inmigrantes en las escuelas secundarias. Posteriormente se presenta la metodología innovadora del proyecto, describiendo el curso online dirigido al profesorado de enseñanza secundaria y otras actividades del proyecto. Finalmente, se comentan las aportaciones del proyecto sobre cooperación transnacional, innovación en la educación formal, mejora de la formación del profesorado y visibilización de las necesidades de los actores educativos sobre la inclusión y la diversidad. Palabras claves: Educación intercultural, educación secundaria, alumnado inmigrante, menores no acompañados, formación del profesorado

Validation of questionnaires for the study of food habits and bone mass

Antecedentes: La pérdida de masa y densidad de los huesos esta influenciada por factores nutricionales, actuando sobre el pico de masa ósea, la pérdida ósea relacionada con la edad y la fortaleza muscular. El objetivo del presente estudio es validar un cuestionario de frecuencia de consumo de alimentos aplicado a la estimación de la relación entre los hábitos alimentarios y la densidad mineral ósea de una población adulta sana. Métodos: Los resultados obtenidos mediante el cuestionario de frecuencia de consumo de alimentos se compararon con los de recordatorios de 24 horas. Las medidas de la densidad mineral ósea se realizaron mediante densitometría de calcáneo. Resultados: Se demuestra la validez del cuestionario al obtener coeficientes de correlación de Spearman entre 0,014 y 0,467. Asimismo el test de Bland-Altman muestra que no existe variación entre los dos métodos para las variables analizadas. El análisis de correlación muestra que la densidad mineral ósea está asociada significativamente al consumo de vitamina D, vitamina A, vitamina B12, folato, tiamina y hierro. El consumo de lípidos totales no fue asociado con la densidad mineral ósea, sin embargo la ingesta de ácidos grasos monoinsaturados, EPA y DHA y colesterol muestra una correlación estadísticamente significativa. Conclusión: El cuestionario estima el consumo de energía y nutrientes con adecuada validez. Su aplicación nos ha permitido deducir la importancia de una dieta rica en vitaminas del grupo B, vitamina D, calcio, hierro y ácidos grasos monoinsaturados y n-3 en la salud ósea.Background: The loss of bone mass and density is influenced by nutritional factors that act on the bone mass peak, age-related bone loss and muscle strength. The objective of the present study was to validate a food frequency questionnaire applied to estimate the relationship between food habits and bone mineral density (BMD) in a healthy adult population. Methods: The results of the food frequency questionnaire were compared with 24-hr recall findings. Calcaneus BMD was measured by densitometry. Results: The validity of the questionnaire was demonstrated, with Spearman correlation coefficients of 0.014 to 0.467. The Bland-Altman test also found no differences in study variables between the two methods. Correlation analysis showed that the BMD was significantly associated with the intake of vitamin D, vitamin A, vitamin B12, folate, thiamine and iron. Total fat consumption was not associated with BMD but the intake of monounsaturated fatty acids, EPA, DHA and cholesterol showed a significant correlation. Conclusion: The questionnaire evaluates the consumption of energy and nutrients with adequate validity. Its application revealed the importance for bone health of a diet rich in B-group vitamins, vitamin D, calcium, iron, monounsaturated fatty acids and n-3.Este estudio forma parte de un proyecto de investigación que se esta realizando en colaboración con el Excmo. Ayuntamiento de Granada (Estudio de la situación nutricional de la unidad familiar en la ciudad de Granada. Contrato Universidad de Granada y Ayuntamiento de Granada. Años: 2007-2009)

Analysis of the drinks that contribute to the hydration of andalusian sportspeople

AbstractObjectivesTo estimate the water balance in a healthy population of sportspeople from Southern Spain and determine the sources of their fluid intake, evaluating the contribution of different types of drink and comparing the results by sex and province of residence.MethodsThree hundred eighty-six sportspeople (231 males, 152 females) were enrolled in the study. A questionnaire was administered to calculate nutrient intake through diet and physical activity, and anthropometric measures were taken according to ISAK standards. SPSS-15 was used for data analyses.ResultsFruit juice, tap water, bottled water, processed fruit juice, carbonated drinks, and isotonic drinks comprised 96% of the total water intake. Simple sugar consumption represented 4.44% of daily calorie intake. Significant differences were found between sexes and between professionals and amateurs. The amount of drinks consumed varied as a function of the quality of the drinking water, which significantly differed among the eight Andalusian provinces.ConclusionThis study population did not fully meet fluid intake recommendations, compliance with hydration recommendations varied as a function of the sex and the amateur or professional status of these sportspeople. The pattern of drinks consumption also differed according to their place of residence

Multiclasificadores basados en aprendizaje automático como herramienta para la evaluación del perfil neurotóxico de líquidos iónicos

Los líquidos iónicos poseen un perfil fisicoquímico único, el cual los provee de un amplio rango de aplicaciones. Su variabilidad estructural casi ilimitada permite su diseño para tareas específicas. Sin embargo, su sustentabilidad, específicamente su seguridad desde el punto de vista toxicológico, ha sido frecuentemente cuestionada. Este último aspecto limita significativamente el cumplimiento de las regulaciones establecidas por la Unión Europea para el registro, evaluación, autorización y restricción de compuestosquímicos (REACH), así como su aplicación final. Debido a que la mayoría de los líquidos iónicos no han sido sintetizados, se hace evidente la importancia del desarrollo de herramientas quimioinformáticas que, de forma eficiente, permitan evaluar el potencial toxicológico de estos compuestos. En este sentido, el uso combinado de múltiples clasificadores ha demostrado superar las limitaciones de desempeño asociadas al uso de clasificadores individuales. En el presente trabajo fueron evaluadas varias estrategias alternativas de multiclasificadores basados en técnicas de aprendizaje automático supervisado, como herramientas para la evaluación del perfil neurotóxico de líquidos iónicos basado en la inhibición de la enzima acetilcolinesterasa, como indicador de neurotoxicidad. Se obtuvieron dos multiclasificadores con una alta capacidad predictiva sobre un conjunto de validación externa (no utilizado en el proceso de aprendizaje de los modelos). De acuerdo a los resultados obtenidos el 96% de un conjunto de nuevos líquidos iónicos podrá ser correctamente clasificado con la utilizaciónde estos multiclasificadores, los cuales constituyen herramientas de toma de decisión útiles en el campo del diseño y desarrollo de nuevos líquidos iónicos sustentables

Differences in expression rather than methylation at placenta-specific imprinted loci is associated with intrauterine growth restriction

Background: genome-wide studies have begun to link subtle variations in both allelic DNA methylation and parent-of-origin genetic effects with early development. Numerous reports have highlighted that the placenta plays a critical role in coordinating fetal growth, with many key functions regulated by genomic imprinting. With the recent description of wide-spread polymorphic placenta-specific imprinting, the molecular mechanisms leading to this curious polymorphic epigenetic phenomenon is unknown, as is their involvement in pregnancies complications. Results: profiling of 35 ubiquitous and 112 placenta-specific imprinted differentially methylated regions (DMRs) using high-density methylation arrays and pyrosequencing revealed isolated aberrant methylation at ubiquitous DMRs as well as abundant hypomethylation at placenta-specific DMRs. Analysis of the underlying chromatin state revealed that the polymorphic nature is not only evident at the level of allelic methylation, but DMRs can also adopt an unusual epigenetic signature where the underlying histones are biallelically enrichment of H3K4 methylation, a modification normally mutually exclusive with DNA methylation. Quantitative expression analysis in placenta identified two genes, GPR1-AS1 and ZDBF2, that were differentially expressed between IUGRs and control samples after adjusting for clinical factors, revealing coordinated deregulation at the chromosome 2q33 imprinted locus. Conclusions: DNA methylation is less stable at placenta-specific imprinted DMRs compared to ubiquitous DMRs and contributes to privileged state of the placenta epigenome. IUGR-associated expression differences were identified for several imprinted transcripts independent of allelic methylation. Further work is required to determine if these differences are the cause IUGR or reflect unique adaption by the placenta to developmental stresses

The role of ZFP57 and additional KRAB-zinc finger proteins in the maintenance of human imprinted methylation and multi-locus imprinting disturbances.

Genomic imprinting is an epigenetic process regulated by germline-derived DNA methylation that is resistant to embryonic reprogramming, resulting in parental origin-specific monoallelic gene expression. A subset of individuals affected by imprinting disorders (IDs) displays multi-locus imprinting disturbances (MLID), which may result from aberrant establishment of imprinted differentially methylated regions (DMRs) in gametes or their maintenance in early embryogenesis. Here we investigated the extent of MLID in a family harbouring a ZFP57 truncating variant and characterize the interactions between human ZFP57 and the KAP1 co-repressor complex. By ectopically targeting ZFP57 to reprogrammed loci in mouse embryos using a dCas9 approach, we confirm that ZFP57 recruitment is sufficient to protect oocyte-derived methylation from reprogramming. Expression profiling in human pre-implantation embryos and oocytes reveals that unlike in mice, ZFP57 is only expressed following embryonic-genome activation, implying that other KRAB-zinc finger proteins (KZNFs) recruit KAP1 prior to blastocyst formation. Furthermore, we uncover ZNF202 and ZNF445 as additional KZNFs likely to recruit KAP1 to imprinted loci during reprogramming in the absence of ZFP57. Together, these data confirm the perplexing link between KZFPs and imprint maintenance and highlight the differences between mouse and humans in this respect

Antibodies to endothelial cells in Behçet's disease: cell-binding heterogeneity and association with clinical activity

OBJECTIVES--To investigate the prevalence and characteristics of antibodies to endothelial cells (aEC) from large vessel and from microvasculature in a group of patients with Behçet's disease (BD) to determine the relationship of these antibodies with clinical and laboratory features of the disease. METHODS--Thirty patients with BD were prospectively and consecutively studied. The aEC were determined by enzyme-linked immunosorbent assay (ELISA) using endothelial cells derived from human umbilical vein (large vessel) as well as from retroperitoneal adipose tissue (microvasculature). RESULTS--Fifteen patients (50%) had aEC, either directed to large vessel [8(26%) patients] or microvascular [13(43%) patients] endothelial cells. The percentage of active patients was significantly higher in the aEC-positive group [12(80%) patients] compared with the aEC-negative group [5(33%) patients] (p < 0.05). CONCLUSIONS--Patients with BD have a high prevalence of aEC when microvascular endothelial cells are used in the assay. These antibodies seem to be a marker of disease activity in this condition, previously considered as negative for autoantibodies

Maternal mutations of FOXF1 cause Alveolar capillary dysplasia despite not being imprinted

Alveolar capillary dysplasia with misalignment of pulmonary veins (ACDMPV) is a rare cause of pulmonary hypertension in newborns. Maternally inherited point mutations in Forkhead Box F1 gene (FOXF1), deletions of the gene or its long-range enhancers on the maternal allele are responsible for this neonatal lethal disorder. Here we describe monozygotic twins and one full-term newborn with ACD and gastrointestinal malformations caused by de novo mutations of FOXF1 on the maternal inherited alleles. Since this parental transmission is consistent with genomic imprinting, the parent-of-origin specific monoallelic expression of genes, we have undertaken a detailed analysis of both allelic expression and DNA methylation. FOXF1 and its neighboring gene FENDRR were both biallelically expressed in a wide range of fetal tissues, including lung and intestine. Furthermore detailed methylation screening within the 16q24.1 regions failed to identify regions of allelic methylation, suggesting that disrupted imprinting is not responsible for ACDMPV

Integrated methodological framework fos assesing the risk of failure in water supply incorporating drought forecast. Case study: Andean regulated river basin

[EN] Hydroclimatic drought conditions can affect the hydrological services offered by mountain river basins causing severe impacts on the population, becoming a challenge for water resource managers in Andean river basins. This study proposes an integrated methodological framework for assessing the risk of failure in water supply, incorporating probabilistic drought forecasts, which assists in making decisions regarding the satisfaction of consumptive, non-consumptive and environmental requirements under water scarcity conditions. Monte Carlo simulation was used to assess the risk of failure in multiple stochastic scenarios, which incorporate probabilistic forecasts of drought events based on a Markov chains (MC) model using a recently developed drought index (DI). This methodology was tested in the Machángara river basin located in the south of Ecuador. Results were grouped in integrated satisfaction indexes of the system (DSIG). They demonstrated that the incorporation of probabilistic drought forecasts could better target the projections of simulation scenarios, with a view of obtaining realistic situations instead of optimistic projections that would lead to riskier decisions. Moreover, they contribute to more effective results in order to propose multiple alternatives for prevention and/or mitigation under drought conditions.This study was part of the doctoral thesis of Aviles A. at the Technical University of Valencia. This research was funded by the University of Cuenca through its Research Department (DIUC) and the Municipal public enterprise of telecommunications, drinking water, sewage and sanitation of Cuenca (ETAPA) through the projects: BIdentificacion de los procesos hidrometeorologicos que desencadenan inundaciones en la ciudad de Cuenca usando un radar de precipitacion" and "Ciclos meteorologicos y evapotranspiracion a lo largo de una gradiente altitudinal del Parque Nacional Cajas". The authors also thank INAMHI and the CBRM for providing the information for this study. The authors wish to thank the Spanish Ministry of Economy and Competitiveness for its financial support through the ERAS project (CTM2016-77804-P). We thank Angel Vazquez, who helped in the programming of the multiple simulations. Also we thank to the TropiSeca project.Avilés-Añazco, A.; Solera Solera, A.; Paredes Arquiola, J.; Pedro Monzonís, M. (2018). Integrated methodological framework fos assesing the risk of failure in water supply incorporating drought forecast. Case study: Andean regulated river basin. Water Resources Management. 32(4):1209-1223. https://doi.org/10.1007/s11269-017-1863-7S12091223324Andreu J, Capilla J, Sanchís E (1996) AQUATOOL, a generalized decision-support system for water-resources planning and operational management. 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ANN multiscale model of anti-HIV Drugs activity vs AIDS prevalence in the US at county level based on information indices of molecular graphs and social networks

[Abstract] This work is aimed at describing the workflow for a methodology that combines chemoinformatics and pharmacoepidemiology methods and at reporting the first predictive model developed with this methodology. The new model is able to predict complex networks of AIDS prevalence in the US counties, taking into consideration the social determinants and activity/structure of anti-HIV drugs in preclinical assays. We trained different Artificial Neural Networks (ANNs) using as input information indices of social networks and molecular graphs. We used a Shannon information index based on the Gini coefficient to quantify the effect of income inequality in the social network. We obtained the data on AIDS prevalence and the Gini coefficient from the AIDSVu database of Emory University. We also used the Balaban information indices to quantify changes in the chemical structure of anti-HIV drugs. We obtained the data on anti-HIV drug activity and structure (SMILE codes) from the ChEMBL database. Last, we used Box-Jenkins moving average operators to quantify information about the deviations of drugs with respect to data subsets of reference (targets, organisms, experimental parameters, protocols). The best model found was a Linear Neural Network (LNN) with values of Accuracy, Specificity, and Sensitivity above 0.76 and AUROC > 0.80 in training and external validation series. This model generates a complex network of AIDS prevalence in the US at county level with respect to the preclinical activity of anti-HIV drugs in preclinical assays. To train/validate the model and predict the complex network we needed to analyze 43,249 data points including values of AIDS prevalence in 2,310 counties in the US vs ChEMBL results for 21,582 unique drugs, 9 viral or human protein targets, 4,856 protocols, and 10 possible experimental measures.Ministerio de Educación, Cultura y Deportes; AGL2011-30563-C03-0