The star forming region Monoceros R2 as a gamma-ray source

After the release of the gamma-ray source catalog produced by the Fermi satellite during its first two years of operation, a significant fraction of sources still remain unassociated at lower energies. In addition to well-known high-energy emitters (pulsars, blazars, supernova remnants, etc.), theoretical expectations predict new classes of gamma-ray sources. In particular, gamma-ray emission could be associated with some of the early phases of stellar evolution, but this interesting possibility is still poorly understood. Aims: The aim of this paper is to assess the possibility of the Fermi gamma-ray source 2FGL J0607.5-0618c being associated with the massive star forming region Monoceros R2. Methods: A multi-wavelength analysis of the Monoceros R2 region is carried out using archival data at radio, infrared, X-ray, and gamma-ray wavelengths. The resulting observational properties are used to estimate the physical parameters needed to test the different physical scenarios. Results: We confirm the 2FGL J0607.5-0618c detection with improved confidence over the Fermi two-year catalog. We find that a combined effect of the multiple young stellar objects in Monoceros R2 is a viable picture for the nature of the source.

SDS open source

Estudi de viabilitat sobre la implantació d'un software-defined storage open source en entorns empresarials. Comparativa entre Gluster, Ceph, OpenAFS, TahoeFS i XtreemFS.

Oospores of Phytophthora infestans in soil provide an important new source of primary inoculum in Finland

Selostus: Perunaruton munaitiöt maassa ovat uusi merkittävä epidemian alkulähde Suomessa

Minimal requirements for parameters to be used for the development of predictive models for microbial source tracking. The example of the pair somatic coliphages and phages infecting Bacteroides

Several methods and approaches for measuring parameters to determine fecal sources of pollution in water have been developed in recent years. No single microbial or chemical parameter has proved sufficient to determine the source of fecal pollution. Combinations of parameters involving at least one discriminating indicator and one universal fecal indicator offer the most promising solutions for qualitative and quantitative analyses. The universal (nondiscriminating) fecal indicator provides quantitative information regarding the fecal load. The discriminating indicator contributes to the identification of a specific source. The relative values of the parameters derived from both kinds of indicators could provide information regarding the contribution to the total fecal load from each origin. It is also essential that both parameters characteristically persist in the environment for similar periods. Numerical analysis, such as inductive learning methods, could be used to select the most suitable and the lowest number of parameters to develop predictive models. These combinations of parameters provide information on factors affecting the models, such as dilution, specific types of animal source, persistence of microbial tracers, and complex mixtures from different sources. The combined use of the enumeration of somatic coliphages and the enumeration of Bacteroides-phages using different host specific strains (one from humans and another from pigs), both selected using the suggested approach, provides a feasible model for quantitative and qualitative analyses of fecal source identification.

Secondary metabolismin in Annonaceae: potencial source of drugs

Several species of Annona (Annonaceae) are used in traditional Mexican medicine by their anti-anxiety, anticonvulsant and tranquilizing properties. It has been reported that the alkaloids isolated from some species of the Annona have affinity to serotonergic 5-HT1A receptors and modulate dopaminergic transmission, which is involved in depressive disorders. In this review it is showed the results of the antidepressant-like effect of an alkaloid extract from the aerial parts of Annona cherimola (TA) in mice. The antidepressant-like effect was evaluated in the forced swimming test. To elucidate a possible mechanism of action, experiments of synergism with antidepressant drugs, such as imipramine (IMI), clomipramine (CLIMI), and fluoxetine (FLX), were carried out. The neurotransmitter content (DA: dopamine, 5HT: serotonin and its metabolites, HVA: homovanillic acid and 5HIAA:5-hydroxyindoleacetic) in the whole brain of mice were also determined by HPLC method. The results showed that repeated treatment with TA produced antidepressant-like effects in mice. This effect was not related to an increase in locomotor activity. Administration of TA facilitated the antidepressant effect of IMI and CLIMI as well as increased the turnover of DA and 5-HT. The alkaloids: 1,2-dimethoxy-5, 6.6 to 7-tetrahydro-4H-dibenzoquinoline-3,8,9,10-tetraol, anonaine, liriodenine, and nornuciferine were the main constituents of TA.

Source separation techniques applied to linear prediction

The prediction filters are well known models for signal estimation, in communications, control and many others areas. The classical method for deriving linear prediction coding (LPC) filters is often based on the minimization of a mean square error (MSE). Consequently, second order statistics are only required, but the estimation is only optimal if the residue is independent and identically distributed (iid) Gaussian. In this paper, we derive the ML estimate of the prediction filter. Relationships with robust estimation of auto-regressive (AR) processes, with blind deconvolution and with source separation based on mutual information minimization are then detailed. The algorithm, based on the minimization of a high-order statistics criterion, uses on-line estimation of the residue statistics. Experimental results emphasize on the interest of this approach.

Trust as a source of sustainable competitive advantage

Tämän pro gradu -tutkielman tarkoituksena oli selvittää, miten luottamus vaikuttaa yrityksen kilpailuetuun. Luottamus on monitieteellinen ilmiö joka on saanut varsin paljon huomiota viimeaikaisissa tutkimuksissa. Myös jatkuvasti kehittyvässä yrityksen teoriassa yrityksen kilpailukyky ja sen pysyvyys ovat olleet mielenkiinnon kohteena. Luottamuksen ja kilpailuedun suhdetta on tästä huolimatta tutkittu vain vähän. Luottamus on nähty ikään kuin implisiittisesti yrityksen teoriassa, mutta ei eksplisiittisesti. Tämä tutkielma analysoi luottamuksen ja yrityksen kilpailukyvyn teorioita sekä näiden yhtymäkohtia. Tutkimuksen lopputuloksena esitellään nämä teoriat toisiinsa yhdistävä malli. Tutkielma on teoreettinen ja osin käsiteanalyyttinen, tutkimusote on syntetisoiva ja exploratiivinen, sillä se pyrkii osoittamaan aiemmin erillisten teorioiden yhtymäkohdat. Esiteltävä malli osoittaa, että luottamuksen ja yrityksen pysyvän kilpailuedun teoriat voidaan liittää toisiinsa, tärkeimmän yhdistävän tekijän ollessa yhteistyökyvykkyys. Luottamus on yhteistyökyvykkyyden välttämätön ennakkoedellytys. Kyky tehdä yhteistyötä on, paitsi jo itsessään erittäin tärkeä dynaaminen kyvykkyys, myös muiden dynaamisten kyvykkyyksien luomista ja hyväksikäyttöä edesauttava tekijä. Sikäli yhteistyö voidaan nähdä yrityksen teoriassa muut dynaamiset kyvykkyydet mahdollistavana meta-kyvykkyytenä ja luottamus sen edellytyksenä.