6 The collection of Earth System Models available in the CMIP5 archive represents, at least to 7 some degree, a sample of uncertainty of future climate evolution. The presence of duplicated 8 code as well as shared forcing and validation data in the multiple models in the archive 9 raises at least three potential problems; biases in the mean and variance, the overestimation 10 of sample size an...

The use of fixed-block error recovery, which combines frequent validation and partial recomputation, to address the problem of transient faults in elliptic curve scalar multiplication was proposed earlier and its advantages in terms of efficiency and reliability were illustrated. However, in order to maximize its advantages, the selection of the block size has to be optimized, which requires kn...

The ecological and physiological significance of body size is well recognized. However, key macroevolutionary questions regarding the dependency of body size trends on the taxonomic scale of analysis and the role of environment in controlling long-term evolution of body size are largely unknown. Here, we evaluate these issues for decapod crustaceans, a group that diversified in the Mesozoic. A ...

We introduce a general testing procedure in models with possible identification failure that has exact asymptotic rejection probability under the null hypothesis. The procedure is widely applicable and in this paper we apply it to tests of arbitrary linear parameter hypotheses as well as to tests of overidentification in time series models given by unconditional moment conditions. The main idea...

We present commissioning and comprehensive evaluation for ArcCHECK as a QA equipment for volumetric-modulated arc therapy (VMAT), using the 6 MV photon beam with and without the flattening filter, and the SNC patient software (version 6.2). In addition to commissioning involving absolute dose calibration, array calibration, and PMMA density verification, ArcCHECK was evaluated for its response ...

Dependency measures are fundamental for a number of important applications in data mining and machine learning. They are ubiquitously used: for feature selection, for clustering comparisons and validation, as splitting criteria in random forest, and to infer biological networks, to list a few. More generally, there are three important applications of dependency measures: detection, quantificati...

The production of silica is performed by mixing an inorganic, silicate-based precursor and an acid. Monomeric silicic acid forms and polymerizes to amorphous silica particles. Both further polymerization and agglomeration of the particles lead to a gel network. Since polymerization continues after gelation, the gel network consolidates. This rather slow process is known as “natural syneresis” a...

BACKGROUND The Study to Assess Long-term Opioid Medication Effectiveness (SALOME) is a two-stage phase III, single site (Vancouver, Canada), randomized, double blind controlled trial designed to test if hydromorphone is as effective as diacetylmorphine for the treatment of long-term illicit opioid injection. Recruiting participants for clinical trials continues to be a challenge in medical and ...

Individual resource intake rates are known to depend on both individual body size and resource availability. Here, we have developed a model to integrate these two drivers, accounting explicitly for the scaling of perceived resource availability with individual body size. The model merges a Kleiber-like scaling law with Holling functional responses into a single mathematical framework, involvin...

We study the asymptotic properties of the adaptive Lasso estimators in sparse, high-dimensional, linear regression models when the number of covariates may increase with the sample size. We consider variable selection using the adaptive Lasso, where the L1 norms in the penalty are re-weighted by data-dependent weights. We show that, if a reasonable initial estimator is available, under appropri...