Syntheses, solid structures, and behavior in solution of [MI2(CO)3(pyrazole)2] complexes (M = Mo, W)

Producción Científica[MI2(CO)3(pz*H)2] complexes (M = Mo, W; pz*H = pzH, dmpzH, indzH) have been synthesized and characterized in solid state and in solution. These heptacoordinated complexes present a capped octahedron geometry in the solid state where the azole ligands are always coordinated pseudo-cis, and the iodido ligands are coordinated either pseudo-trans (pzH complexes and molybdenum complex with indzH) or pseudo-cis (tungsten complex with dmpzH). Both isomers are found in the crystal structure of [WI2(CO)3(indzH)2]. The difference in energies between both isomers have been theoretically calculated and range between −2.9 and +1.0 kcal/mol. The complexes where the iodido ligands are coordinated pseudo-trans show unequivalent azoles in the NMR at low temperature while they undergo a dynamic process in solution which makes both heterocycles equivalent at room temperature. The other complexes display a dynamic behavior in solution where both heterocycles are equivalent both at room and at low temperatures.Ministerio de Economía, Industria y Competitividad (Project CTQ2013-41067-P

Uso del debate formal como herramienta de innovación docente para el desarrollo temprano de las habilidades de comunicación y el análisis crítico de los estudiantes de Ciencias de la Salud

Depto. de FisiologíaFac. de MedicinaFALSEsubmitte

E-business como herramienta para el mejoramiento de la gestión comercial en empresas industriales de Buenaventura

Although it is known that companies today have much more capacity for adaptation, 2020 devastated the labor market, a difficult year for the vast majority of companies in the world because they experienced a considerable drop in their income, both due to changes in consumption patterns as well as the sanitary restrictions implemented by governments. For this reason; The SENNOVA program and its Human Entrepreneurship research hotbed of the Nautical Fishing Center carried out this research work in order to contribute to the participation in the markets of SMEs in the industrial sector of Buenaventura.The companies object of the study were SMEs established in Buenaventura, belonging to the industrial sector, 434 registered companies complied with the profiling of the project. According to sample calculation, 26 SMEs were selected, collecting information through field work, applying an information collection instrument, allowing to know the current situation of SMEs registered in the Chamber of Commerce and identifying needs that impeded their growth. Once the information was collected, the analysis and decision-making process was carried out, as a result, 6 companies in the sector with low market participation were evidenced to intervene. Having identified the needs in each of the organizations, an E-business tool was acquired to generate optimization and efficiency in the processes that were carried out in them; This process was accompanied by a digital marketing specialist to display them in the market and attract a much wider audience. Allowing each of them today to have their social networks (Facebook, Instagram), a website compatible with computers and mobiles, advertising pieces, Chat Bots connected to WhatsApp to serve their customers 24/7, automating the responses required by their publicSi bien es sabido las empresas hoy en día tienen mucha más capacidad para la adaptación, el 2020 arrasó con el mercado laboral, año difícil para la gran mayoría de compañías del mundo porque experimentaron una considerable caída en sus ingresos, tanto por los cambios en los patrones de consumo como por las restricciones sanitarias implementadas por los gobiernos. Por esta razón; el programa SENNOVA y su semillero de investigación Emprendimiento Humano del Centro Náutico Pesquero realizó este trabajo investigativo con el fin de contribuir en la participación en los mercados de las pymes del sector industrial de Buenaventura.Las empresas objeto del estudio fueron pymes establecidas en Buenaventura, pertenecientes al sector industrial, 434 empresas registradas cumplieron con el perfilamiento del proyecto. De acuerdo al cálculo de la muestra; se seleccionaron 26 pymes, recopilando información a través de un trabajo de campo, aplicando un instrumento de recolección de información, permitiendo conocer la situación actual de las pymes registradas en la Cámara de Comercio e identificando necesidades que impedían el crecimiento de ellas. Una vez recopilada la información se realizó el proceso de análisis y toma de decisiones, como resultado se evidenciaron 6 empresas del sector con baja participación en el mercado para intervenir. Identificadas las necesidades en cada una de las organizaciones, se adquirió una herramienta E-business para generar optimización y eficiencia en los procesos que se llevaban a cabo en ellas; este proceso contó con acompañamiento de un especialista en marketing digital para visualizarlas en el mercado y atraer a un público mucho más amplio. Permitiendo que cada una de ellas hoy en día tengan sus redes sociales (Facebook, Instagram), sitio web compatible con ordenadores y móviles, piezas publicitarias, Chat Bots conectado a WhatsApp para atender a sus clientes 24/7, automatizando las respuestas requeridas por su públic

A comparison of Covid-19 early detection between convolutional neural networks and radiologists

[EN] Background The role of chest radiography in COVID-19 disease has changed since the beginning of the pandemic from a diagnostic tool when microbiological resources were scarce to a different one focused on detecting and monitoring COVID-19 lung involvement. Using chest radiographs, early detection of the disease is still helpful in resource-poor environments. However, the sensitivity of a chest radiograph for diagnosing COVID-19 is modest, even for expert radiologists. In this paper, the performance of a deep learning algorithm on the first clinical encounter is evaluated and compared with a group of radiologists with different years of experience. Methods The algorithm uses an ensemble of four deep convolutional networks, Ensemble4Covid, trained to detect COVID-19 on frontal chest radiographs. The algorithm was tested using images from the first clinical encounter of positive and negative cases. Its performance was compared with five radiologists on a smaller test subset of patients. The algorithm's performance was also validated using the public dataset COVIDx. Results Compared to the consensus of five radiologists, the Ensemble4Covid model achieved an AUC of 0.85, whereas the radiologists achieved an AUC of 0.71. Compared with other state-of-the-art models, the performance of a single model of our ensemble achieved nonsignificant differences in the public dataset COVIDx. Conclusion The results show that the use of images from the first clinical encounter significantly drops the detection performance of COVID-19. The performance of our Ensemble4Covid under these challenging conditions is considerably higher compared to a consensus of five radiologists. Artificial intelligence can be used for the fast diagnosis of COVID-19.Project Chest screening for patients with COVID 19 (COV2000750 Special COVID19 resolution) funded by Instituto de Salud Carlos III. Project DIRAC (INNVA1/2020/42) funded by the Agencia Valenciana de la Innovacion, Generalitat Valenciana.Albiol Colomer, A.; Albiol, F.; Paredes Palacios, R.; Plasencia-Martínez, JM.; Blanco Barrio, A.; García Santos, JM.; Tortajada, S.... (2022). A comparison of Covid-19 early detection between convolutional neural networks and radiologists. Insights into Imaging. 13(1):1-12. https://doi.org/10.1186/s13244-022-01250-311213

AKT activation seems to be associated with apoptotic signals and not with pro-survival signals in a pristane-induced lupus model.

Several studies have shown that in addition to its role as a survival factor and tumor promoting agent, AKT is also able to exhibit pro-apoptotic effects under diverse conditions, including oxidative stress, cytokine stimulation and exposure to cytotoxic chemicals like staurosporine, methotrexate, docetaxel and etoposide. Moreover, phosphorylation of second mitochondria-derived activator of caspases (SMAC) by AKT promotes caspase-3 activation during etoposide-induced apoptosis in HeLa cells. Our data show that injection of pristane into the peritoneum induces apoptosis-mediated cell death of peritoneal exudate cells (PECs), as evidenced by the increased number of annexin V+ peritoneal cells and their increased levels of cleaved/active caspase-3. Indeed, the higher levels of activated caspase-3 protein in WT PECs, particularly at 2-weeks post pristane treatment, are indicative of a higher rate of apoptosis compared to Cd38¿/¿ cells. In contrast, no differences were observed in the levels of MCL-1, an anti-apoptotic protein and member of the BCL2 family. Furthermore, kinases ERK1/2 and AKT showed distinct activation kinetics in pristane-elicited PECs. Interestingly, caspase-3 activation followed similar kinetics to AKT activation in both WT and Cd38¿/¿ PECs, while ERK activation correlated with increased levels of MCL-1. In summary our data strongly suggest that in the pristane-induced lupus model AKT activation is associated with apoptotic signals and not with survival signals. Further studies, however, are required to identify specific pro- and anti-apoptotic target proteins that are phosphorylated by ERK or AKT following pristane treatment, and that regulate the apoptotic process

Aprendizaje-servicio y Trabajo Social

Es una propuesta metodológica aplicada a los estudios de Trabajo Social. Su objetivo es incorporar el método aprendizaje-servicio a la docencia presencial para incrementar el interés y la satisfacción de la comunidad científica y la sociedad civil

Extracellular vesicles from pristane-treated CD38-deficient mice express an antiinflammatory neutrophil protein signature, which reflects the mild lupus severity elicited in these mice

In CD38-deficient (Cd38-/-) mice intraperitoneal injection of pristane induces a lupus-like disease, which is milder than that induced in WT mice, showing significant differences in the inflammatory and autoimmune processes triggered by pristane. Extracellular vesicles (EV) are present in all body fluids. Shed by cells, their molecular make-up reflects that of their cell of origin and/or tissue pathological situation. The aim of this study was to analyze the protein composition, protein abundance, and functional clustering of EV released by peritoneal exudate cells (PECs) in the pristane experimental lupus model, to identify predictive or diagnostic biomarkers that might discriminate the autoimmune process in lupus from inflammatory reactions and/or normal physiological processes. In this study, thanks to an extensive proteomic analysis and powerful bioinformatics software, distinct EV subtypes were identified in the peritoneal exudates of pristane-treated mice: 1) small EV enriched in the tetraspanin CD63 and CD9, which are likely of exosomal origin; 2) small EV enriched in CD47 and CD9, which are also enriched in plasma-membrane, membrane-associated proteins, with an ectosomal origin; 3) small EV enriched in keratins, ECM proteins, complement/coagulation proteins, fibrin clot formation proteins, and endopetidase inhibitor proteins. This enrichment may have an inflammation-mediated mesothelial-tomesenchymal transition origin, representing a protein corona on the surface of peritoneal exudate EV; 4) HDL-enriched lipoprotein particles. Quantitative proteomic analysis allowed us to identify an anti-inflammatory, Annexin A1- enriched pro-resolving, neutrophil protein signature, which was more prominent in EV from pristane-treated Cd38-/- mice, and quantitative differences in the protein cargo of the ECM-enriched EV from Cd38-/- vs WT mice. These differences are likely to be related with the distinct inflammatory outcome shown by Cd38-/- vs WT mice in response to pristane treatment. Our results demonstrate the power of a hypothesis-free and data-driven approach to transform the heterogeneity of the peritoneal exudate EV from pristanetreated mice in valuable information about the relative proportion of different EV in a given sample and to identify potential protein markers specific for the different small EV subtypes, in particular those proteins defining EV involved in the resolution phase of chronic inflammation.Proyecto del plan estatal, Ministerio de Ciencia e Innovacion PT13/0001/011CSIC PT17/0019/0010 PID2020-119567RB-I0

Mejora de las habilidades comunicativas y el pensamiento crítico en estudiantes de Ciencias de la Salud mediante la combinación de flipped classroom (clase invertida) y debate formal

Se propone la clase invertida (flipped classroom) y el debate formal como metodologías innovadoras para mejorar las habilidades comunicativas y el pensamiento crítico en respuesta a la demanda de tener futuros profesionales biomédicos mejor formados en estos ámbitos

FICARAM-15 Cruise Report 20th March – 22nd May 2013 on board BIO Hespérides by the Group FICARAM

54 páginas, 19 figuras, 3 anexosThe FICARAM-15 is the fifteenth repetition of a section conducted in 1994. This section is part of the international program GOSHIP (http://www.go-ship.org/CruisePlans.html) to develop a globally coordinated network of sustained hydrographic sections as part of the global ocean/climate observing system. The objective of the FICARAM-15 cruise is to investigate the temporal evolution of the anthropogenic carbon and evaluate the CO2 absorption capacity of the South Atlantic region, the Equatorial zone, and the subtropical region of Azores-Gibraltar in the North Atlantic. This cruise is supported by the CATARINA project funded by the Ministry of Economy and Competitiveness (CTM2010-17141) and is part of the European Union FP7 project CARBOCHANGE (http://carbochange.b.uib.no/). The objective of FICARAM-15 cruise is framed in the CATARINA project conducted by the tasks I.2.1 (air-sea CO2 exchange) I.3 (ventilation of water masses), I.4.1 (zonal variability of N2O and CH4), I.4.2 (anthropogenic carbon storage), I.4.4 (saturation horizon of calcium carbonate along the section) and I.5.4 (evolution of the acidification rates). Another component of the FICARAM-15 cruise aims to examine the biological and biogeochemical mechanisms that hinder total dissolved organic carbon (DOC) remineralisation in marine systems, taking a multidisciplinary perspective and applying many different approaches. This is the global objective of the Spanish project DOREMI (CTM2012-34294) that joins this FICARAM-15 cruise.During the FICARAM cruise the physical oceanography group was responsible for collecting the following data sets: CTD and XBT data; vessel-mounted ADCP and lowered ADCP; continuous thermosalinograph. Physical oceanographers participated in the cruise financed through Project “Tipping Corners in the Meridional Overturning Circulation” (TIC-MOC), CTM2011-28867. The FICARAM-15 cruise was organized in two phases with a common sampling. LEG 1: From Punta Arenas (Chile) to Recife (Brazil): 62 stations. Chief Scientist: Aida F. Ríos, PI of CATARINA project LEG 2: From Recife (Brazil) to Cartagena (Spain): 46 stations Chief Scientist: Celia Marrasé, PI of DOREMI project This report contains the sampling of all the variables at each station along the FICARAM section, as well as the analysis of the biogeochemical variables and the preliminary results. The principal investigator of the DOREMI project produced another report with the common sampling section, showing the analysis and results of the experiments on dissolved organic matter carried out on board.This cruise is supported by the CATARINA project funded by the Ministry of Economy and Competitiveness (CTM2010-17141) and is part of the European Union FP7 project CARBOCHANGE (http://carbochange.b.uib.no/)Peer reviewe