The transfer of the plasma current from thermal to relativistic electrons is a threat to ITER achieving its mission. This danger is significantly greater in the nuclear than in the nonnuclear phase of ITER operations. Two issues are pivotal. The first is the extent and duration of magnetic surface breaking in conjunction with the thermal quenches. The second is the exponential sensitivity of th...

This document describes a tour of Machine Learning (ML) techniques using tools in MATLAB. We point to the standard implementations, give example code and point out some pitfalls. Please work your way through the manual, try out the different implementations, and answer the questions and discuss with your peers. 2 hours should be sufficient to work your way through the material. I don’t ask for ...

Proponents of unconscious-thought theory assert that letting the unconscious ‘‘mull it over’’ can enhance decisions. In a series of recent studies, researchers demonstrated that participants whose attention was focused on solving a complex problem (i.e., those using conscious thought) made poorer choices, decisions, and judgments than participants whose attention was distracted from the problem...

Previous research suggests that attorney opening and closing statement organizational patterns interact, affecting jurors’ negligence and damage awards (Spiecker & Worthington, 2003). Drawing upon unpublished data from this previous study, results of this analysis help to explain why some combinations of organizational patterns are more advantageous than others. Participants exposed to video-ta...

Locally weighted polynomial regression (LWPR) is a popular instance-based algorithm for learning continuous non-linear mappings. For more than two or three inputs and for more than a few thousand datapoints the computational expense of predictions is daunting. We discuss drawbacks with previous approaches to dealing with this problem, and present a new algorithm based on a multiresolution searc...

In our cohort of patients with severe asthma, the majority receiving very high doses of inhaled or systemic corticosteroids, a blood eosinophil count of greater than 0.45 3 10 cells/L can correctly predict sputum eosinophilia in 9 of 10 cases. We have included only patients with severe asthma in our study, and therefore we believe our results are important because these are the patients who wil...

The aim of this work was to investigate the ability of gene expression data in predicting survival of colon cancer patients. Considered the net contribution of the gene, we adjusted for other prognostic factors and we estimated the conditional effect of each single gene, given the rest of the genetic information. A popular approach to screening for prognostic markers is first classify patients ...

Multivariate count data are defined as the number of items of different categories issued from sampling within a population, which individuals are grouped into categories. The analysis of multivariate count data is a recurrent and crucial issue in numerous modelling problems, particularly in the fields of biology and ecology (where the data can represent, for example, children counts associated...

This brief report describes some recent developments of the R quantreg package to incorporate methods for additive models. The methods are illustrated with an application to modeling childhood malnutrition in India. Models with additive nonparametric effects offer a valuable dimension reduction device throughout applied statistics. In this paper we describe some recent developments of additive ...

The ability to predict rainfall with adequate certainty and lead time is beneficial to both industry and public. Periods of high or low seasonal rainfall can have many follow on effects to agriculture, industry, public health and, water supply and management. In order to implement decisions, planning and management strategies to contend with these issues, the ability to predict seasonal rainfal...