Resistin expression and regulation in mouse pituitary

AbstractResistin, a new adipocytokine, is expressed in human, rat and mouse adipose tissue. Its putative role as a mediator of insulin resistance is controversial. We hypothesized that resistin, in common with leptin, has multiple roles in non-adipose tissues. Using reverse transcription polymerase chain reaction (RT-PCR) we show that the resistin gene (Retn) is expressed in mouse brain (hypothalamus and cortex) and pituitary gland. Immunohistochemistry revealed resistin protein in the arcuate nucleus and pituitary gland. Semi-quantitative RT-PCR analysis indicated that Retn mRNA is developmentally regulated in the pituitary. Expression was lowest at birth, increased abruptly between postnatal days 14 and 25 (four-fold; P<0.001), and declined thereafter. This peak in pituitary Retn mRNA was unaffected by early weaning but was abolished by neonatal treatment with monosodium glutamate, suggesting that the basal hypothalamus regulates pituitary Retn. Although the role(s) of endogenous resistin in mouse brain and pituitary remains to be determined, it may be distinct from its controversial involvement in insulin resistance. Our data suggest that local resistin expression could have functional implications during prepubertal maturation of the hypothalamic–pituitary system

Bohmian description of a decaying quantum system

We present a Bohmian description of a decaying quantum system. A particle is initially confined in a region around the origin which is surrounded by a repulsive potential barrier. The particle leaks out in time tunneling through the barrier. We determine Bohm trajectories with which we can visualize various features of the decaying system.Comment: 14 pages, 5 figure

Tuning the GENIE Pion Production Model with MINERvA Data

Faced with unresolved tensions between neutrino interaction measurements at few-GeV neutrino energies, current experiments are forced to accept large systematic uncertainties to cover discrepancies between their data and model predictions. In this paper, the widely used pion production model in GENIE is compared to four MINERvA charged current pion production measurements using NUISANCE. Tunings, ie, adjustments of model parameters, to help match GENIE to MINERvA and older bubble chamber data are presented here. We find that scattering off nuclear targets as measured in MINERvA is not in good agreement with scattering off nucleon (hydrogen or deuterium) targets in the bubble chamber data. An additional ad hoc correction for the low-$Q^2$ region, where collective effects are expected to be large, is also presented. While these tunings and corrections improve the agreement of GENIE with the data, the modeling is imperfect. The development of these tunings within the NUISANCE frameworkallows for straightforward extensions to other neutrino event generators and models, and allows omitting and including new data sets as they become available

Concurrent Computation of Differential Morphological Profiles for Remote Sensing

In this paper we provide an efficient parallel algorithm for reconstruction from markers, and multi-scale analysis through differential morphological profiles, which are top-hat scale spaces based on openings and closings by reconstruction. On eight cores a speed increase of 6.26 over naive computation is achieved.JRC.DG.G.2-Global security and crisis managemen