Charge demand and renewable generation forecasting with Deep Learning: application to electric vehicle station optimization Abs

[Resumen] Los vehículos eléctricos se están popularizando y son claves para el transporte del futuro debido a su contribución en la reducción de las emisiones de carbono. Uno de los desafíos que plantea la electrificación de la movilidad es el soporte que tendrá que dar la infraestructura actual de red eláctrica a estos vehículos. Un aspecto crucial para resolución de este problema pasa por una gestión y planificación inteligentes del proceso de carga. El uso de técnicas basadas en datos y de aprendizaje automático (Machine Learning) para entender y predecir el comportamiento de carga de vehículos eléctricos y de generación renovable (fotovoltaica) pueden servir para mejorar estos algoritmos de planificación. En este artículo se propone un caso de estudio para evaluar el impacto de las técnicas mencionadas en los algoritmos de planificación dinámica de la demanda de carga. Este algoritmo hace uso de predicciones de la demanda y de la producción fotovoltaica generadas por modelos de redes neuronales. Estos modelos secuenciales han sido entrenados con datos obtenidos de una base de datos pública en el caso de la demanda y de una planta fotovoltaica real en el caso de la producción. En predicción de la demanda, el modelo que ha obtenido mejores resultados ha sido el modelo con redes LSTM con una ventana temporal de 4 días, obteniendo un MAE de 4.41 kW y un RMSE de 4.10 kW sobre los datos de testeo. En la predicción de la generación, el mejor modelo ha resultado ser el modelo de redes CNN+LSTM con una ventana temporal de 1 día, obteniendo un MAE de 55.60 kW y un RMSE de 104.61 kW sobre los datos de testeo.[Abstract] Electric vehicles are becoming increasingly popular and are key to the transport of the future due to their contribution to reducing carbon emissions. One of the key challenges, however, is how the grid infrastructure could provide support to all the electric vehicle charging stations that comes with large-scale EV deployment. The solution to this lies in the utilization of smart scheduling algorithms to manage the growing public charging demand. The use of data-driven techniques and Machine Learning to learn the behaviour of electric vehicle charging and photovoltaic generation can be used to improve these scheduling algorithms. Therefore, in this article, a case study simulator and a smart scheduling algorithm to manage charging demand are proposed. This algorithm makes use of demand and photovoltaic production forecasting generated by neural network models. These sequential models have been trained with data obtained from a public database in the case of demand and from a real PV plant in the case of production. In demand forecasting, the model that obtained the best results was the model with LSTM networks with window size of 4 days, obtaining an MAE of 4.41 kW and an RMSE of 4.10 kW on the test data. In generation forecasting, the best model was the CNN+LSTM networks model with a window size of 1 day, obtaining an MAE of 55.60 kW and an RMSE of 104.61 kW on the test data.Ministerio de Ciencia e Innovación; TED2021-131604B-I00Ministerio de Ciencia e Innovación; PID2020-115561RB-C3

Non surgical periodontal treatment in patients with gingivitis and moderate periodontitis. Biochemical and microbiological response

AbstractObjectiveTo ascertain inflammatory response through interleukin 1β presence and identify pathogenic microorganisms as possible immunological and microbiological markers in diagnosis and treatment non-surgical periodontal in patients with gingivitis and moderate chronic periodontitis in a sample of Mexican population.Material and methodsIn the present prospective cohort study, 18 patients with signs of gingivitis and 17 patients with moderate chronic periodontitis were selected. Samples of subgingival biofilm and of crevicular gingival fluid were collected. Interleukin 1β was quantified during the pre-treatment, post-treatment and maintenance phases of the non- surgical periodontal treatment. Continuous variables were analyzed with the Student test, as well as categorical variables which were analyzed with the Turkey-Kramer test. For independent groups the Pearson test was used.ResultsMicrobiological response variables showed that Porphyromonas gingivalis Prevotella intermedia, Fusobacterium nucleatum, Aggregatibacter actinomycetemcomitans significantly decreased in subjects with gingivitis, Porphyromonas gingivalis, Tannerella forsythia, Fusobacterium nucleatum, Aggregatibacter actinomycetemcomitans and Actinomyces ssp. decreased in cases. Biochemical response variables showed significant decrease in IL-1β concentration and total count in individuals with moderate chronic periodontitis in treatment maintenance phase. The same result applied to clinical response variables.ConclusionsThere is a decrease in Interleukine 1β levels with decrease in microflora. Interleukin 1β are sensitive markers for diagnosis of periodontal disease and assessment of its severity

Full Transcriptomic Response of Pseudomonas aeruginosa to an Inulin-Derived Fructooligosaccharide

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb. 2020.00202/full#supplementary-materialPseudomonas aeruginosa is an ubiquitous gram-negative opportunistic human pathogen which is not considered part of the human commensal gut microbiota. However, depletion of the intestinal microbiota (Dysbiosis) following antibiotic treatment facilitates the colonization of the intestinal tract by Multidrug-Resistant P. aeruginosa. One possible strategy is based on the use of functional foods with prebiotic activity. The bifidogenic effect of the prebiotic inulin and its hydrolyzed form (fructooligosaccharide: FOS) is well established since they promote the growth of specific beneficial (probiotic) gut bacteria such as bifidobacteria. Previous studies of the opportunistic nosocomial pathogen Pseudomonas aeruginosa PAO1 have shown that inulin and to a greater extent FOS reduce growth and biofilm formation, which was found to be due to a decrease in motility and exotoxin secretion. However, the transcriptional basis for these phenotypic alterations remains unclear. To address this question we conducted RNAsequence analysis. Changes in the transcript level induced by inulin and FOS were similar, but a set of transcript levels were increased in response to inulin and reduced in the presence of FOS. In the presence of inulin or FOS, 260 and 217 transcript levels, respectively, were altered compared to the control to which no polysaccharide was added. Importantly, changes in transcript levels of 57 and 83 genes were found to be specific for either inulin or FOS, respectively, indicating that both compounds trigger different changes. Gene pathway analyses of differentially expressed genes (DEG) revealed a specific FOS-mediated reduction in transcript levels of genes that participate in several canonical pathways involved in metabolism and growth, motility, biofilm formation, b-lactamase resistance, and in the modulation of type III and VI secretion systems; results that have been partially verified by real time quantitative PCR measurements. Moreover, we have identified a genomic island formed by a cluster of 15 genes, encoding uncharacterized proteins, which were repressed in the presence of FOS. The analysis of isogenic mutants has shown that genes of this genomic island encode proteins involved in growth, biofilm formation and motility. These results indicate that FOS selectively modulates bacterial pathogenicity by interfering with different signaling pathways.This work was supported by grants from the Spanish Ministry for Economy and Competitiveness (AGL2017-85270-R). CS is funded by the program Juan de la Cierva-Formación (FJCI-2015-23810)

Modelo hidrodinámico de alta resolución del puerto de Algeciras – proyecto SAMPA2

El proyecto SAMPA, financiado por la Autoridad Portuaria de la Bahía de Algeciras (APBA) y Puertos del Estado entre los años 2010 y 2013, fue proyecto piloto para la integración de un modelo numérico de alta resolución en un sistema operacional en el cual el Grupo de Oceanografía Física de la Universidad de Málaga (GOFIMA) desarrolló el propio modelo hidrodinámico [Sammartino et al., 2014; Sánchez Garrido et al., 2014]. Los productos operacionales servidos por Puertos del Estado (portal PORTUS) y la APBA (sistema CMA), alimentados entre otros por las predicciones derivadas de SAMPA, representaron el primer ejemplo de difusión de un forecast océano-meteorológico accesible tanto al público generalizado como al personal técnico marítimo empleado en el puerto. El modelo numérico que estaba detrás de SAMPA, sin embargo, no tenía suficiente resolución para llegar a resolver la dinámica portuaria, y la APBA, en el 2015, financió la segunda generación del proyecto (SAMPA2), con el objetivo de cubrir ese hueco. Entre la segunda mitad del 2015 y durante todo el 2016, después de haber realizado un atento análisis de los aspectos mejorables del actual SAMPA, GOFIMA desarrolló un sistema completamente nuevo: un modelo anidado en tres dominios acoplados, que proporciona un aumento progresivo de resolución desde la escala regional hasta la portuaria. A eso se añade el valor añadido de unas herramientas de análisis de calidad de agua del Puerto de Algeciras de acuerdo con las indicaciones de la ROM5.1-13.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Taquicardia ventricular polimórfica catecolaminérgica com necessidade de implante de cardiodesfibrilador implantável (CDI)

Relato de caso de uma paciente do sexo feminino, com 16 anos de idade à ocasião de sua admissão no Instituto de Cardiologia. A mesma foi encaminhada por serviço de saúde externo devido a síncopes durante atividade física e foi submetida à investigação, com diagnóstico final de taquicardia ventricular catecolaminérgica. Após a definição diagnóstica, foi realizado tratamento medicamentoso com betabloqueador, sendo necessário o implante de marcapasso definitivo por conta da incompetência cronotrópica secundária ao tratamento farmacológico instituído. Posteriormente, por persistência das arritmias ventriculares mesmo com o uso de terapia otimizada, optou-se por realizar um implante de CD

Efecto de los tipos de alimentación durante el cebo de cerdos híbridos

En los últimos años la dinámica productiva del cerdo de abasto ha tendido a la consecución de animales con poca grasa y elevado porcentaje de músculo. La demanda de los consumidores de carnes magras por un lado y la acuciante necesidad de abaratar los costes de producción por otro, han originado que la selección, la alimentación y el manejo se hayan puesto al servicio de tal objetivo

On the Tunability of Toxicity for Viologen‐Derivatives as Anolyte for Neutral Aqueous Organic Redox Flow Batteries

Viologen-derivatives are the most widely used redox organic molecules for neutral pH negative electrolyte of redox flow batteries. However, the long-established toxicity of the herbicide methyl-viologen raises concern for deployment of viologen-derivatives at large scale in flow batteries. Herein, we demonstrate the radically different cytotoxicity and toxicology of a series of viologen-derivatives in in vitro assays using model organisms representative of human and environmental exposure, namely human lung carcinoma epithelial cell line (A549) and the yeast Saccharomyces cerevisiae. The results show that safe viologen derivatives can be molecularly engineered, representing a promising family of negolyte materials for neutral redox flow batteries.The authors acknowledge financial support by the Spanish Government (Ministerio de Ciencia e Innovacion, Grants PID2021-124974OB-C22 and PID2020-115789GB-C21) and Ramon y Cajal award (RYC2018-026086-I) as well as the MeBattery project. MeBattery has received funding from the European Innovation Council of the European Union under Grant Agreement no. 101046742. This work was supported by the Regional Government of Castilla y Leon (Junta de Castilla y Leon) and by the Ministry of Science and Innovation MICIN and the European Union NextGenerationEU/PRTR. We also gratefully acknowledge Junta de Castilla y Leon (BU049P20) and FEDER for financial support

Consideraciones teóricas acerca del apego en adultos

Attachment theory is a significant contribution in the psychological field in order to understand how children build their bonds with a significant person and how this schema affects their development during adolescence and adulthood both in the creation of bonds and in other important aspects, such as learning and social relationships. Possible impacts on cognitive and affective processes are analyzed when the building of secure attachment is disrupted throughout the life cycle but, mainly, during young adulthood. This is due to the significant areas of development during this life stage, such as university, mate searching and work. Therefore, this article reviews theoretical issues of attachment, its relational involvement and its impact on the building of representational patterns that determine the evolution of people and their relationships. Additionally, this study analyzes the types of attachment and describes relevant research with this theory framework, as well as various ways of assessing attachment through scales and other instruments validated in Europe and Asia. It is concluded that there is a weak development of the psychometric area in Latin America; therefore, it is important and necessary to expand this area in the Ecuadorian context. ies.La teoría de apego es un aporte importante en el campo psicológico para comprender la forma en que los niños establecen sus vínculos con una persona significativa y, la manera en que este esquema afecta su desarrollo en la adolescencia y la adultez, tanto en el establecimiento de vínculos como en otros aspectos importantes como el aprendizaje y las relaciones sociales. Se analizan las posibles repercusiones sobre procesos afectivos y cognitivos cuando se producen alteraciones en la conformación de un apego seguro, a lo largo del ciclo vital pero, particularmente, en la adultez joven debido a las áreas importantes de desempeño en esta edad, como son la universidad, la formación de pareja y el trabajo. Es así que, en el artículo se realiza una revisión sobre aspectos teóricos del apego, sus implicaciones relacionales y su impacto en la construcción de modelos representacionales que determinan el devenir de las personas y sus relaciones. Se analizan también los tipos de apego y luego, se describen algunas investigaciones realizadas usando este marco teórico, así como también las diversas formas de evaluar el apego a través de escalas y otros instrumentos que han sido validados en Europa y Asia. Se concluye que existe un débil desarrollo de la parte psicométrica en Latinoamérica y se plantea la importancia y necesidad de ampliar esta área en el contexto ecuatorian

ColoLipidGene: Signature of lipid metabolism-related genes to predict prognosis in stage-II colon cancer patients

Lipid metabolism plays an essential role in carcinogenesis due to the requirements of tumoral cells to sustain increased structural, energetic and biosynthetic precursor demands for cell proliferation. We investigated the association between expression of lipid metabolism-related genes and clinical outcome in intermediate-stage colon cancer patients with the aim of identifying a metabolic profile associated with greater malignancy and increased risk of relapse. Expression profile of 70 lipid metabolismrelated genes was determined in 77 patients with stage II colon cancer. Cox regression analyses using c-index methodology was applied to identify a metabolic-related signature associated to prognosis. The metabolic signature was further confirmed in two independent validation sets of 120 patients and additionally, in a group of 264 patients from a public database. The combined analysis of these 4 genes, ABCA1, ACSL1, AGPAT1 and SCD, constitutes a metabolic-signature (ColoLipidGene) able to accurately stratify stage II colon cancer patients with 5-fold higher risk of relapse with strong statistical power in the four independent groups of patients. The identification of a group of 4 genes that predict survival in intermediate-stage colon cancer patients allows delineation of a high-risk group that may benefit from adjuvant therapy, and avoids the toxic and unnecessary chemotherapy in patients classified as low-risk groupThis work was supported by Ministerio de Ciencia e Innovación del Gobierno de España (Plan Nacional I + D + i AGL2013–48943-C2–2-R and IPT-2011–1248-060000), Comunidad de Madrid (P2013/ABI-2728. ALIBIRDCM) and European Union Structural Funds. CIBEREHD is funded by the Instituto de Salud Carlos III. This is a collaborative study between the Molecular Oncology Unit of The Institute of Advanced Studies of Madrid IMDEA Food and the Grupo Español Multidisciplinar en Cáncer Digestivo (GEMCAD