764 research outputs found

    Microglia activation due to obesity programs metabolic failure leading to type two diabetes

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    Obesity is an energy metabolism disorder that increases susceptibility to the development of metabolic diseases. Recently, it has been described that obese subjects have a phenotype of chronic inflammation in organs that are metabolically relevant for glucose homeostasis and energy. Altered expression of immune system molecules such as interleukins IL-1, IL-6, IL-18, tumor necrosis factor alpha (TNF-α), serum amyloid A (SAA), and plasminogen activator inhibitor-1 (PAI-1), among others, has been associated with the development of chronic inflammation in obesity. Chronic inflammation modulates the development of metabolic-related comorbidities like metabolic syndrome (insulin resistance, glucose tolerance, hypertension and hyperlipidemia). Recent evidence suggests that microglia activation in the central nervous system (CNS) is a priority in the deregulation of energy homeostasis and promotes increased glucose levels. This review will cover the most significant advances that explore the molecular signals during microglia activation and inflammatory stage in the brain in the context of obesity, and its influence on the development of metabolic syndrome and type two diabetes

    Orchestrating learning analytics (OrLA): Supporting inter-stakeholder communication about adoption of learning analytics at the classroom level

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    © 2019 Australasian Journal of Educational Technology. Despite the recent surge of interest in learning analytics (LA), their adoption in everyday classroom practice is still slow. Knowledge gaps and lack of inter-stakeholder communication (particularly with educational practitioners) have been posited as critical factors for previous LA adoption failures. Yet, what issues should researchers, practitioners and other actors communicate about, when considering the adoption of an LA innovation in a particular context? We reviewed and synthesised existing literature on four focus areas related to LA, their adoption, implications for practice, and more general factors that have emerged as crucial when studying everyday classroom adoption of technologies (i.e., classroom orchestration). This synthesis resulted in two conversational frameworks and an inter-stakeholder communication tool. These can be used to guide and support conversations and decision-making about the adoption of LA innovations. We illustrate their usefulness with examples of use in ongoing LA adoption processes in Australia, Spain and Estonia

    Detection and analysis of tumour biomarkers to strengthen the diagnosis of acute and chronic leukaemias

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    AbstractMolecular markers in leukaemia are essential to diagnose, establish prognosis factors and determine the correct treatment of patients; therefore, it is imperative to include molecular biology studies, so that, combined with cytomorphology and immunophenotyping studies, they constitute the differential diagnosis of these neoplasias. It is extremely important to implement a panel of molecular markers that allows us to detect oncogenes derived from chromosomal translocations, genes derived from epigenetic alterations and drug-resistant genes.A panel of molecular markers that included 11 genes derived from chromosomal translocations BCR-ABL major and minor breakpoints, E2A-PBX1, MLL-AF4, TEL-AML1, PML-RARα, AML1-ETO was standardised; cancer testis antigens (CTA) derived from NY-ESO1 and MAGE-A3 epigenetic alterations and multi-drug-resistant genes ABCB1 and ABCG2. 30 patients diagnosed with leukaemia from Mexico's General Hospital (Hospital General de Mexico) were included. They suffered from acute lymphoblastic leukaemia (ALL) and acute myeloblastic leukaemia (AML); bone marrow mononuclear cells were used, from which RNA was extracted for the synthesis of cDNA and RT-PCR for each of the markers. In acute lymphoblastic leukaemia (ALL), BCR-ABL biomarkers expressed under 30% (3/10), E2A-PBX1 10% (1/10), ABC-B1 80% (8/10), and ABC-G2 60% (6/10). Patients with acute myeloblastic leukaemia (AML) expressed 30% PML-RARα (3/10), 40% ABC-B1 (4/10), and 10% ABC-G2 (1/10). Lastly, in patients with chronic myeloid leukaemia (CML), BCR-ABL was over 100% (10/10), ABC-B1 20% (2/10), and ABC-G2 50% (5/10). The presence of transcripts from chimeric genes minor BCR-ABL and E2A-PBX1 in ALL; PML-RARα in AML; and major BCR-ABL in CML, confirms the importance that the panel of molecular markers has in strengthening the diagnosis and prognosis of these conditions

    Selection and chemical composition of plant species consumed by goats under drought conditions in three microregions of the Comarca Lagunera, Mexico

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    Objective: To evaluate the plant selection of the diet of goats during the dry season and the chemical composition of the said plants in three microregions of the Comarca Lagunera, Mexico. Design/Methodology/Approach: Three microregions were identified within the Comarca Lagunera: 1) mountain slope, 2) plain, and 3) cultivation areas. The selection of the goat diet, the availability of forage, and the nutritional composition (CP, EE, DNF, AFD, NFC, TDN, and NEl) of plant species and strata were evaluated in the three microregions. Results: The shrubs and herbaceous in the Comarca Lagunera had the highest forage availability and a better nutritional profile during winter. On the one hand, these plant strata had an adequate protein content. On the other hand, the overall energy content reached <1 Mcal kg-1 DM. Study Limitations/Implications: The plant strata have an adequate protein content; however, the energy content is not enough and limits growth. Consequently, supplementation programs for grazing dairy goats in the Comarca Lagunera must include sources of energy. Findings/Conclusions: Regardless of the microregion, the energy content of the species consumed by grazing dairy goats in the Comarca Lagunera is low

    Direct hospitalization costs associated with chronic Hepatitis C in the Valencian Community in 2013

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    [ES] Fundamentos. Los costes hospitalarios asociados a la Hepatitis Crónica C (HCC) surgen en los estadíos finales de la enfermedad. Su cuantificación es de gran utilidad para estimar la carga de la enfermedad y establecer decisiones de financiación de los nuevos antivirales. Los costes más elevados son motivados por la descompensación de la cirrosis. Métodos. Estudio observacional de corte transversal de los costes hospitalarios de episodios con diagnóstico de HCC en la Comunidad Valenciana en 2013. Fuente de información: Conjunto mínimo básico de datos. Se estimaron los costes según las tarifas establecidas para los GRD (Grupos relacionados por el diagnóstico) asociados a los episodios con diagnóstico de hepatitis C. La supervivencia media de los pacientes desde que se inició la descompensación de su cirrosis se estimó mediante un modelo de Markov, según las probabilidades de evolución de la enfermedad existentes en la literatura. Resultados. Se registraron 4.486 episodios de hospitalización con diagnóstico de HCC, 1.108 fueron debidos a complicaciones de la HCC que generaron 6.713 estancias, tasa de reingresos del 28,2 % y mortalidad del 10,2%. El coste hospitalario ascendió a 8.788.593EUR: 3.306.333EUR correspondieron a Cirrosis (5.273EUR/paciente); 1.060.521EUR a Carcinoma (6.350EUR/ paciente) y 2.962.873EUR a trasplante (70.544EUR/paciente). La comorbilidad por Hepatitis C supuso 1.458.866EUR. Estos costes se mantienen durante una media de 4 años una vez comienza la descompensación de la cirrosis. Conclusiones. La cirrosis por HCC genera un coste muy elevado por hospitalización, la metodología utilizada en la estimación de estos costes a partir de los GRD puede ser de gran utilidad para evaluar la tendencia e impacto económico de esta enfermedad.[EN] Background. Hospital costs associated with Chronic Hepatitis C (HCC) arise in the final stages of the disease. Its quantification is very helpful in order to estimate and check the burden of the disease and to make financial decisions for new antivirals. The highest costs are due to the decompensation of cirrosis. Methods. Cross-sectional observational study of hospital costs of HCC diagnoses in the Valencian Community in 2013 (n= 4,486 hospital discharges). Information source: Minimum basic set of data/ Basic Minimum Data Set. The costs were considered according to the rates established for the DRG (Diagnosis related group) associated with the episodes with diagnosis of hepatitis C. The average survival of patients since the onset of the decompensation of their cirrhosis was estimated by a Markov model, according to the probabilities of evolution of the disease existing in Literatura. Results. There were 4,486 hospital episodes, 1,108 due to complications of HCC, which generated 6,713 stays, readmission rate of 28.2% and mortality of 10.2%. The hospital cost amounted to 8,788,593EUR: 3,306,333EUR corresponded to Cirrhosis (5,273EUR/patient); 1,060,521EUR to Carcinoma (6,350EUR/ patient) and 2,962,873EUR to transplantation (70,544EUR/paciente. Comorbidity was 1,458,866EUR. These costs are maintained for an average of 4 years once the cirrhosis decompensation begins. Conclusions. Cirrhosis due to HCC generates a very high hospitalization¿s costs. The methodology used in the estimation of these costs from the DRG can be very useful to evaluate the trend and economic impact of this disease.Barrachina Martínez, I.; Giner-Durán R; Vivas-Consuelo, D.; ANTONIO LOPEZ RODADO; Maldonado Segura, JA. (2018). Costes de hospitalización asociados a la Hepatitis crónica C en la Comunidad Valenciana en 2013. Revista Española de Salud Pública. 92:1-12. http://hdl.handle.net/10251/124218S1129

    GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP

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    Full detector simulation was among the largest CPU consumer in all CERN experiment software stacks for the first two runs of the Large Hadron Collider (LHC). In the early 2010's, the projections were that simulation demands would scale linearly with luminosity increase, compensated only partially by an increase of computing resources. The extension of fast simulation approaches to more use cases, covering a larger fraction of the simulation budget, is only part of the solution due to intrinsic precision limitations. The remainder corresponds to speeding-up the simulation software by several factors, which is out of reach using simple optimizations on the current code base. In this context, the GeantV R&D project was launched, aiming to redesign the legacy particle transport codes in order to make them benefit from fine-grained parallelism features such as vectorization, but also from increased code and data locality. This paper presents extensively the results and achievements of this R&D, as well as the conclusions and lessons learnt from the beta prototype.Comment: 34 pages, 26 figures, 24 table

    A peculiar class of debris disks from Herschel/DUNES - A steep fall off in the far infrared

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    Aims. We present photometric data of debris disks around HIP 103389 (HD 199260), HIP 107350 (HN Peg, HD206860), and HIP 114948 (HD 219482), obtained in the context of our Herschel Open Time Key Program DUNES (DUst around NEarby Stars). Methods. We used Herschel/PACS to detect the thermal emission of the three debris disks with a 3 sigma sensitivity of a few mJy at 100 um and 160 um. In addition, we obtained Herschel/PACS photometric data at 70 um for HIP 103389. Two different approaches are applied to reduce the Herschel data to investigate the impact of data reduction on the photometry. We fit analytical models to the available spectral energy distribution (SED) data. Results. The SEDs of the three disks potentially exhibit an unusually steep decrease at wavelengths > 70 um. We investigate the significance of the peculiar shape of these SEDs and the impact on models of the disks provided it is real. Our modeling reveals that such a steep decrease of the SEDs in the long wavelength regime is inconsistent with a power-law exponent of the grain size distribution -3.5 expected from a standard equilibrium collisional cascade. In contrast, a very distinct range of grain sizes is implied to dominate the thermal emission of such disks. However, we demonstrate that the understanding of the data of faint sources obtained with Herschel is still incomplete and that the significance of our results depends on the version of the data reduction pipeline used. Conclusions. A new mechanism to produce the dust in the presented debris disks, deviations from the conditions required for a standard equilibrium collisional cascade (grain size exponent of -3.5), and/or significantly different dust properties would be necessary to explain the potentially steep SED shape of the three debris disks presented. (abridged)Comment: 14 pages, 4 figures, accepted by A&

    The effect of magnetic activity saturation in chromospheric flux-flux relationships

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    We present a homogeneous study of chromospheric and coronal flux-flux relationships using a sample of 298 late-type dwarf active stars with spectral types F to M. The chromospheric lines were observed simultaneously in each star to avoid spread due to long term variability. Unlike other works, we subtract the basal chromospheric contribution in all the spectral lines studied. For the first time, we quantify the departure of dMe stars from the general relations. We show that dK and dKe stars also deviate from the general trend. Studying the flux-colour diagrams we demonstrate that the stars deviating from the general relations are those with saturated X-ray emission and that those stars also present saturation in the Hα\alpha line. Using several age spectral indicators, we show that they are younger stars than those following the general relationships. The non-universality of flux-flux relationships found in this work should be taken into account when converting between fluxes in different chromospheric activity indicators.Comment: Accepted for publication in the Monthly Notices of the Royal Astronomical Societ

    Chromospheric activity and rotation of FGK stars in the solar vicinity. An estimation of the radial velocity jitter

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    Context: Chromospheric activity produces both photometric and spectroscopic variations that can be mistaken as planets. Large spots crossing the stellar disc can produce planet-like periodic variations in the light curve of a star. These spots clearly affect the spectral line profiles and their perturbations alter the line centroids creating a radial velocity jitter that might contaminate" the variations induced by a planet. Precise chromospheric activity measurements are needed to estimate the activity-induced noise that should be expected for a given star. Aims: We obtain precise chromospheric activity measurements and projected rotational velocities for nearby (d < 25 pc) cool (spectral types F to K) stars, to estimate their expected activity-related jitter. As a complementary objective, we attempt to obtain relationships between fluxes in different activity indicator lines, that permit a transformation of traditional activity indicators, i.e, CaII H & K lines, to others that hold noteworthy advantages. Methods: We used high resolution (~50000) echelle optical spectra. To determine the chromospheric emission of the stars in the sample, we used the spectral subtraction technique. Rotational velocities were determined using the cross-correlation technique. To infer activity-related radial velocity (RV) jitter, we used empirical relationships between this jitter and the R'_HK index. Results: We measured chromospheric activity, as given by different indicators throughout the optical spectra, and projected rotational velocities for 371 nearby cool stars. We have built empirical relationships among the most important chromospheric emission lines. Finally, we used the measured chromospheric activity to estimate the expected RV jitter for the active stars in the sample.Comment: Accepted for publication in Astronomy & Astrophysic
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