Using a dataset of 26,228 Psychology document surrogates from Elsevier databases, we compare author relatedness measure outcomes for 125 authors based on topic modelling to more traditional approaches that rely on direct citation, co-citation and collaboration. Outcomes for the author topical similarity measure are compared to existing co-authorships in the dataset using UCINET/NetDraw. We demo...

The asymptotic behaviour of a class of least squares problems when subjected to structured perturbations is considered. It is permitted that the number of rows (observations) in the design matrix can be unbounded while the number of degrees of freedom (variables) is fixed. It is shown that for certain classes of random data the solution sensitivity depends asymptotically on the condition number...

Spectral functions of symmetric matrices – those depending on matrices only through their eigenvalues – appear often in optimization. A cornerstone variational analytic tool for studying such functions is a formula relating their subdifferentials to the subdifferentials of their diagonal restrictions. This paper presents a new, short, and revealing derivation of this result. We then round off t...

BACKGROUND Impaired driving is a recognized cause of major injury. Contemporary data are lacking on exposures to impaired driving behaviours and related injury among young adolescents, as well as inequities in these youth risk behaviours. METHODS AND FINDINGS Cycle 6 (2009/10) of the Health Behaviour in School-Aged Children survey involved 26,078 students enrolled in 436 Canadian schools. We ...

This paper gives a broad overview of a complete framework for assessing the predictive uncertainty of scientific computing applications. The framework is complete in the sense that it treats both types of uncertainty (aleatory and epistemic) and incorporates uncertainty due to the form of the model and any numerical approximations used. Aleatory (or random) uncertainties in model inputs are tre...

Approach based on clustering will be described in our paper. Basic version of our system was given in [5] allows us to expand query through special index. Hierarchical agglomerative clustering of the whole document collection generates the index. Retrieving of topic development is specific problem. Standard methods of IR does not allow us such kind of queries for appropriate solution of informa...

Abstract: In earlier work we demonstrated that iterated numerical integration outperforms ”standard” multivariate integration techniques for various function classes with singularities inside the domain of integration. We focus on the accuracy requirements to be applied in different directions or combinations of directions of iterated integrals. The integrals are approximated numerically in an ...

We demonstrate that the efficiency droop phenomenon in multiple quantum well InGaN/GaN light-emitting diodes (LEDs) may be connected to the current crowding effect. A numerical model of internal quantum efficiency calculation is presented that takes into account nonuniform lateral carrier injection in the active region. Based on this model, we examine the effect of current crowding on the effic...

Identifying persons with the same stance in topic documents that contain competing viewpoints can help readers construct the background of a topic and facilitate topic reading. In this paper, we propose an unsupervised method for identifying topic persons with the same stance. Specifically, we employ a model-based Expectation-Maximization (EM) method to cluster individuals into positively corre...

The proposed siting of new chemical Hazardous Installations, modifications to existing Hazardous Installations, and proposals for development within the vicinity of these installations, are assessed by the Hazardous Installations Directorate (HID) of the Health & Safety Executive. Numerical risk assessment methodology is utilised to enable advice to be given to Local Planning Authorities. The u...