109 research outputs found
Hedge algorithm and Dual Averaging schemes
We show that the Hedge algorithm, a method that is widely used in Machine Learning, can be interpreted as a particular instance of Dual Averaging schemes, which have recently been introduced by Nesterov for regret minimization. Based on this interpretation, we establish three alternative methods of the Hedge algorithm: one in the form of the original method, but with optimal parameters, one that requires less a priori information, and one that is better adapted to the context of the Hedge algorithm. All our modified methods have convergence results that are better or at least as good as the performance guarantees of the vanilla method. In numerical experiments, our methods significantly outperform the original schem
PREFACE Drinking Water Public Health Goals
health effects from contaminants in drinking water. PHGs are developed for chemical contaminants based on the best available toxicological data in the scientific literature. These documents and the analyses contained in them provide estimates of the levels of contaminants in drinking water that would pose no significant health risk to individuals consuming the water on a daily basis over a lifetime. The California Safe Drinking Water Act of 1996 (Health and Safety Code, Section 116365) requires the Office of Environmental Health Hazard Assessment (OEHHA) to perform risk assessments and adopt PHGs for contaminants in drinking water based exclusively on public health considerations. The Act requires that PHGs be set in accordance with the following criteria: 1. PHGs for acutely toxic substances shall be set at levels at which no known or anticipated adverse effects on health will occur, with an adequate margin of safety. 2. PHGs for carcinogens or other substances that may cause chronic disease shall be based solely on health effects and shall be set at levels that OEHHA ha
G2C2-III: Structural parameters for Galactic globular clusters in SDSS passbands
We use our Galactic Globular Cluster Catalog (G2C2) photometry for 111
Galactic globular clusters (GC) in g and z, as well as r and i photometry for a
subset of 60 GCs and u photometry for 22 GCs, to determine the structural
parameters assuming King (1962) models.
In general, the resulting core radii are in good comparison with the current
literature values. However, our half-light radii are slightly lower than the
literature. The concentrations (and therefore also the tidal radii) are poorly
constrained mostly because of the limited radial extent of our imaging.
Therefore, we extensively discuss the effects of a limited field-of-view on the
derived parameters using mosaicked SDSS data, which do not suffer from this
restriction. We also illustrate how red giant branch (RGB) stars in cluster
cores can stochastically induce artificial peaks in the surface brightness
profiles. The issues related to these bright stars are scrutinised based on
both our photometry and simulated clusters. We also examine colour gradients
and find that the strongest central colour gradients are caused by central RGB
stars and thus not representative for the cluster light or colour distribution.
We recover the known relation between the half-light radius and the
Galactocentric distance in the g-band, but find a lower slope for redder
filters. We did not find a correlation between the scatter on this relation and
other cluster properties. We find tentative evidence for a correlation between
the half-light radii and the [Fe/H], with metal-poor GCs being larger than
metal-rich GCs. However, we conclude that this trend is caused by the position
of the clusters in the Galaxy, with metal-rich clusters being more centrally
located.Comment: 17 pages, 23 figures, 3 tables. Accepted to MNRAS. The online
appendix includes the structural parameters and the SB profile fits for all
the sample cluster
G2C2 - IV: A novel approach to study the radial distributions of multiple populations in Galactic globular clusters
We use the HB morphology of 48 Galactic GCs to study the radial distributions
of the different stellar populations known to exist in globular clusters.
Assuming that the (extremely) blue HB stars correspond to stars enriched in
Helium and light elements, we compare the radial distributions of stars
selected according to colour on the HB to trace the distribution of the
secondary stellar populations in globular clusters. Unlike other cases, our
data show that the populations are well mixed in 80% of the cases studied. This
provides some constraints on the mechanisms proposed to pollute the
interstellar medium in young globular clusters.Comment: 8 pages, 6 figures. The complete table of the KS statistics and
figures for all the sample clusters showing the cumulative radial
distributions can be found in the online appendix. Accepted for publication
in MNRA
G2C2 II: Integrated colour-metallicity relations for Galactic Globular Clusters in SDSS passbands
We use our integrated SDSS photometry for 96 globular clusters in and
, as well as and photometry for a subset of 56 clusters, to derive
the integrated colour-metallicity relation (CMR) for Galactic globular
clusters. We compare this relation to previous work, including extragalactic
clusters, and examine the influence of age, present-day mass function
variations, structural parameters and the morphology of the horizontal branch
on the relation. Moreover, we scrutinise the scatter introduced by foreground
extinction (including differential reddening) and show that the scatter in the
colour-metallicity relation can be significantly reduced combining two
reddening laws from the literature. In all CMRs we find some low-reddening
young GCs that are offset to the CMR. Most of these outliers are associated
with the Sagittarius system. Simulations show that this is due less to age than
to a different enrichment history. Finally, we introduce colour-metallicity
relations based on the infrared Calcium triplet, which are clearly non-linear
when compared to and colours.Comment: Accepted for publication in MNRAS. 17 pages, 18 figure
Estimating Direct and Maternal Effects on Residual Metabolizable Energy Intake in Holstein Calves
Two of the largest expenses in the dairy industry are the animals’ feed and the rearing of heifers. While in many countries feed efficiency in lactating cows has already been integrated into the genetic evaluation, studies in dairy calves are still scarce. Because maternal effects are known to influence important traits measured early in life, they may play an important role in dairy calf feed efficiency. The objective of this study was to estimate genetic parameters of feed efficiency in pre-weaned dairy calves and investigate the significance of maternal genetic effects on feed efficiency. Residual metabolizable energy intake (RMEI) of 471 Canadian Holstein calves in two time periods(RMEI1: first month of age; RMEI2: second month of age) was used as a measure for feed efficiency. Statistical analysis using animal models including maternal effects was performed with ASReml. Maternal effects significantly (p-value= 0.04) improved model fitting of RMEI1, with high negative genetic correlations between direct and maternal effects (-0.88±0.02). Without considering maternal effects, heritability estimates for RMEI1 and RMEI2 were 0.19±0.11 and 0.32±0.12, respectively. RMEI1 the direct heritability was 0.15±0.13, the maternal heritability was 0.27±0.12 and a total heritability of 0.02. The estimated genetic correlation between RMEI1 and RMEI2 (0.77±0.36) indicated that RMEI in the two periods may be considered separate traits. Further studies with more animals and herds, as well as an investigation on the potential relationships with other important traits should be carried out to understand whether and how RMEI could be incorporated in selection decisions. Despite the limited dataset used in this study, moderate heritability estimates indicate that selection for more feed efficient calves is possible
Peroxisomal dysfunctions cause lysosomal storage and axonal Kv1 channel redistribution in peripheral neuropathy
Impairment of peripheral nerve function is frequent in neurometabolic diseases, but mechanistically not well understood. Here, we report a novel disease mechanism and the finding that glial lipid metabolism is critical for axon function, independent of myelin itself. Surprisingly, nerves of Schwann cell-specific Pex5 mutant mice were unaltered regarding axon numbers, axonal calibers, and myelin sheath thickness by electron microscopy. In search for a molecular mechanism, we revealed enhanced abundance and internodal expression of axonal membrane proteins normally restricted to juxtaparanodal lipid-rafts. Gangliosides were altered and enriched within an expanded lysosomal compartment of paranodal loops. We revealed the same pathological features in a mouse model of human Adrenomyeloneuropathy, preceding disease-onset by one year. Thus, peroxisomal dysfunction causes secondary failure of local lysosomes, thereby impairing the turnover of gangliosides in myelin. This reveals a new aspect of axon-glia interactions, with Schwann cell lipid metabolism regulating the anchorage of juxtaparanodal Kv1-channels
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