3,345 research outputs found
Estimating the mass of galactic components using machine learning algorithms
The estimation of the bulge and disk massses, the main baryonic components of
a galaxy, can be performed using various approaches, but their implementation
tend to be challenging as they often rely on strong assumptions about either
the baryon dynamics or the dark matter model. In this work, we present an
alternative method for predicting the masses of galactic components, including
the disk, bulge, stellar and total mass, using a set of machine learning
algorithms: KNN-neighbours (KNN), Linear Regression (LR), Random Forest (RF)
and Neural Network (NN). The rest-frame absolute magnitudes in the
ugriz-photometric system were selected as input features, and the training was
performed using a sample of spiral galaxies hosting a bulge from Guo's mock
catalogue \citep{Guo-Catalog} derived from the Millennium simulation. In
general, all the algorithms provide good predictions for the galaxy's mass
components ranging from to , corresponding to
the central region of the training mass domain; however, the NN give rise to
the most precise predictions in comparison to other methods. Additionally, to
test the performance of the NN architecture, we used a sample of observed
galaxies from the SDSS survey whose mass components are known. We found that
the NN can predict the luminous masses of disk-dominant galaxies within the
same range of magnitudes that for the synthetic sample up to a level of
confidence, while mass components of galaxies hosting larger bulges are well
predicted up to level of confidence. The NN algorithm can also bring up
scaling relations between masses of different components and magnitudes.Comment: 13 pages, 5 figures and 1 table. Comments are welcom
Tumor Associated Stromal Cells Play a Critical Role on the Outcome of the Oncolytic Efficacy of Conditionally Replicative Adenoviruses
The clinical efficacy of conditionally replicative oncolytic adenoviruses (CRAd) is still limited by the inefficient infection of the tumor mass. Since tumor growth is essentially the result of a continuous cross-talk between malignant and tumor-associated stromal cells, targeting both cell compartments may profoundly influence viral efficacy. Therefore, we developed SPARC promoter-based CRAds since the SPARC gene is expressed both in malignant cells and in tumor-associated stromal cells. These CRAds, expressing or not the Herpes Simplex thymidine kinase gene (Ad-F512 and Ad(I)-F512-TK, respectively) exerted a lytic effect on a panel of human melanoma cells expressing SPARC; but they were completely attenuated in normal cells of different origins, including fresh melanocytes, regardless of whether cells expressed or not SPARC. Interestingly, both CRAds displayed cytotoxic activity on SPARC positive-transformed human microendothelial HMEC-1 cells and WI-38 fetal fibroblasts. Both CRAds were therapeutically effective on SPARC positive-human melanoma tumors growing in nude mice but exhibited restricted efficacy in the presence of co-administered HMEC-1 or WI-38 cells. Conversely, co-administration of HMEC-1 cells enhanced the oncolytic efficacy of Ad(I)-F512-TK on SPARC-negative MIA PaCa-2 pancreatic cancer cells in vivo. Moreover, conditioned media produced by stromal cells pre-infected with the CRAds enhanced the in vitro viral oncolytic activity on pancreatic cancer cells, but not on melanoma cells. The whole data indicate that stromal cells might play an important role on the outcome of the oncolytic efficacy of conditionally replicative adenoviruses.Facultad de Ciencias Veterinaria
Las comunidades terapéuticas como tratamiento para las drogodependencias: una revisión sistemática del seguimiento a corto plazo
Objetivo. Las comunidades terapéuticas (CT) constituyen uno de los tratamientos más extensos para las drogodependencias; sin embargo, su investigación es escasa. El objetivo fue realizar una revisión sistemática para conocer los elementos metodológicos de los estudios de seguimiento a corto plazo y, a su vez, describir las consecuencias de las CT. Material y método. Se aplicó el "Preferred Reporting Items for Systematic reviews and meta- Analyses" (PRISMA) para la búsqueda en Medline, PsycINFO, PsycARTICLES y PsycCRITIQUES de estudios de seguimiento a corto plazo de CT entre 1980 y 2010. Resultados. El seguimiento consiste en un registro inicial y, al menos, otro al medio año de tratamiento; la muestra mínima contiene 60 usuarios con una mayor prevalencia de hombres solteros;el 50% continúa en seguimiento y/o alcanza la abstinencia. Conclusión. Las CT parecen ser beneficiosas para el ajuste del consumo y otros aspectos psicosociales, aunque la falta de información dificulta garantizar la comparación de estos hallazgos. © 2013 Elsevier España, S.L. y SET. Todos los derechos reservados
Chronic stress alters neuropeptide Y signaling in the bed nucleus of the stria terminalis in DBA/2J but not C57BL/6J mice
Numerous rodent and human studies have demonstrated that neuropeptide Y (NPY) is involved in the regulation of anxiety-related behaviors. In this study, we examined whether there were differences in NPY signaling between two inbred mouse strains (C57BL/6J and DBA/2J) that exhibit divergent basal and stress-induced anxiety phenotypes. We focused on the bed nucleus of the stria terminals (BNST), a structure in the extended amygdala that is important for the regulation of anxiety-like behavior and contains NPY receptors. While results from whole-cell voltage-clamp recordings and immunofluorescence histochemistry revealed no significant basal differences in NPY signaling or NPY and NPY Y2 receptor (Y2R) expression in the BNST, these measures were differentially altered by chronic restraint stress. Ten days of chronic restraint stress increased basal GABAergic transmission and decreased NPY’s ability to inhibit evoked GABAergic transmission in the dorsolateral BNST (dlBNST) via Y2R in DBA/2J, but not C57BL/6J, mice. Additionally, restraint stress increased NPY and Y2R expression across subregions of the BNST of DBA/2J mice 24 hrs after the last stress exposure, but no changes were observed in C57BL/6J mice. Together, these results suggest that chronic restraint stress engages the NPY system and alters NPY modulation of inhibitory transmission in the dlBNST of DBA/2J mice, but not C57BL/6J mice, which may be related to increased expression of anxiety-related behaviors in this strain
Community-curated and standardised metadata of published ancient metagenomic samples with AncientMetagenomeDir
Ancient DNA and RNA are valuable data sources for a wide range of disciplines. Within the field of ancient metagenomics, the number of published genetic datasets has risen dramatically in recent years, and tracking this data for reuse is particularly important for large-scale ecological and evolutionary studies of individual microbial taxa, microbial communities, and metagenomic assemblages. AncientMetagenomeDir (archived at https://doi.org/10.5281/zenodo.3980833) is a collection of indices of published genetic data deriving from ancient microbial samples that provides basic, standardised metadata and accession numbers to allow rapid data retrieval from online repositories. These collections are community-curated and span multiple sub-disciplines in order to ensure adequate breadth and consensus in metadata definitions, as well as longevity of the database. Internal guidelines and automated checks to facilitate compatibility with established sequence-read archives and term-ontologies ensure consistency and interoperability for future meta-analyses. This collection will also assist in standardising metadata reporting for future ancient metagenomic studies.Competing Interest StatementThe authors have declared no competing interest.Background & Summary Methods - Repository Structure - Data Acquisition - Data Validation Data Records Technical Validation Usage Note
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