Abstract Over the last decades, numerical modelling has gained practical importance in geotechnical engineering as a valuable tool for predicting problems. An accurate prediction of ground deformation is achieved if models that account pre-failure behaviour soil are used. In this paper, laboratory results consolidated drain (CD) triaxial compression tests and one-dimensional consolidation marin...

Point-defect kinetics are important for understanding and modeling dopant diffusion in silicon. This paper describes models for point-defect transport and recombination used in SUPREM-IV, and does extensive fitting for the model parameters. The experimental data used are from experiments on oxidation-enhanced diffusion (OED). Interstitial traps are shown to be critical for consistent agreement ...

This paper introduces the Ongoing Event Detection (OED) task, which is a specific task where goal to detect ongoing event mentions only, as opposed historical, future, hypothetical, or other forms events that are neither fresh nor current. Any application needs extract structured information about from unstructured texts can take advantage of an OED system. The main contribution this following:...

We introduce an algorithm to estimate the optimal exposure parameters from the analysis of a single, possibly underor over-exposed, image. This algorithm relies on a new quantitative measure of exposure quality, based on the average rendering error, that is, the difference between the original irradiance and its reconstructed value after processing and quantization. In order to estimate the exp...

Density estimation is one of the central problems in statistical inference and machine learning. Given a sample of observations, the goal of histogram density estimation is to find a piecewise constant density that describes the data best according to some pre-determined criterion. Although histograms are conceptually simple densities, they are very flexible and can model complex properties lik...

This paper brings together two important but hitherto largely unrelated areas of the forecasting literature, density forecasting and forecast combination. It proposes a simple data-driven approach to direct combination of density forecasts using optimal weights. These optimal weights are those weights that minimise the ‘distance’, as measured by the Kullback-Leibler Information Criterion, betwe...

BACKGROUND The purpose of this study is to evaluate the dosimetric benefits of a proton arc technique for treating tumors of the para-aortic lymph nodes (PALN). METHOD In nine patients, a proton arc therapy (PAT) technique was compared with intensity modulated radiation therapy (IMRT) and proton beam therapy (PBT) techniques with respect to the planning target volume (PTV) and organs at risk ...

Permanent Magnet Synchronous Motors (PMSMs) have been widely used in many industrial applications. In This paper a new method for multi objective optimal design of a permanent magnet synchronous motor (PMSMs) with surface mounted permanent magnet rotor is presented to achieve maximum efficiency and power density using a Bees algorithm for industrial applications. The objective function is a...

There is a long-standing debate about the principles and mechanisms that constrain the combinatorial properties of affixes, in particular of English suffixes. One group of scholars argues for the existence of lexical strata with strong restrictions holding between the different strata. This view is disputed by scholars who claim that it is selectional restrictions of individual suffixes that ar...