Constructing comparable business process models with domain specific languages - An empirical evaluation

The objective of this paper is to evaluate the semantic building block-based approach as a means for improving comparability in business process modelling. It is described whether and why the semantic building block-based approach reduces the variations in comparison to traditional modelling approaches. Our argumentation is grounded on the assumption that business process modelling projects in large organisations have to be conducted in a distributed manner. However, the goal of these projects is to integrate single models into a consistent process landscape. This allows the organisation to mine the processes for potential improvements. A lack of comparability could deteriorate the quality of the process landscape and the analysis performed on its basis. In a laboratory experiment the variations of distributed process modelling in the traditional and the building block-based approach have been compared. Results indicate that the semantic building block-based approach leads to considerably fewer variations between business process models and, thus, improves the comparability of them

Applying machine learning methods for characterization of hexagonal prisms from their 2D scattering patterns – an investigation using modelled scattering data

This document is the Accepted Manuscript version of the following article: Emmanuel Oluwatobi Salawu, Evelyn Hesse, Chris Stopford, Neil Davey, and Yi Sun, 'Applying machine learning methods for characterization of hexagonal prisms from their 2D scattering patterns – an investigation using modelled scattering data', Journal of Quantitative Spectroscopy and Radiative Transfer, Vol. 201, pp. 115-127, first published online 5 July 2017. Under embargo. Embargo end date: 5 July 2019. The Version of Record is available online at doi: https://doi.org/10.1016/j.jqsrt.2017.07.001. © 2017 Elsevier Ltd. All rights reserved.Better understanding and characterization of cloud particles, whose properties and distributions affect climate and weather, are essential for the understanding of present climate and climate change. Since imaging cloud probes have limitations of optical resolution, especially for small particles (with diameter < 25 μm), instruments like the Small Ice Detector (SID) probes, which capture high-resolution spatial light scattering patterns from individual particles down to 1 μm in size, have been developed. In this work, we have proposed a method using Machine Learning techniques to estimate simulated particles’ orientation-averaged projected sizes (PAD) and aspect ratio from their 2D scattering patterns. The two-dimensional light scattering patterns (2DLSP) of hexagonal prisms are computed using the Ray Tracing with Diffraction on Facets (RTDF) model. The 2DLSP cover the same angular range as the SID probes. We generated 2DLSP for 162 hexagonal prisms at 133 orientations for each. In a first step, the 2DLSP were transformed into rotation-invariant Zernike moments (ZMs), which are particularly suitable for analyses of pattern symmetry. Then we used ZMs, summed intensities, and root mean square contrast as inputs to the advanced Machine Learning methods. We created one random forests classifier for predicting prism orientation, 133 orientation-specific (OS) support vector classification models for predicting the prism aspect-ratios, 133 OS support vector regression models for estimating prism sizes, and another 133 OS Support Vector Regression (SVR) models for estimating the size PADs. We have achieved a high accuracy of 0.99 in predicting prism aspect ratios, and a low value of normalized mean square error of 0.004 for estimating the particle’s size and size PADs.Peer reviewe

Folic acid in pregnancy and mortality from cancer and cardiovascular disease : further follow-up of the Aberdeen folic acid supplementation trial

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. Acknowledgements The authors wish to acknowledge Professor Marion Hall, who set up the original randomised trial of folic acid supplementation. The authors also thank Ms Katie Wilde and the Data Management Team, University of Aberdeen, for their help with the extraction and linking of data and the data analysts from ISD Scotland.Peer reviewedPublisher PD

Prediction of HLA class II alleles using SNPs in an African population

BACKGROUND: Despite the importance of the human leukocyte antigen (HLA) gene locus in research and clinical practice, direct HLA typing is laborious and expensive. Furthermore, the analysis requires specialized software and expertise which are unavailable in most developing country settings. Recently, in silico methods have been developed for predicting HLA alleles using single nucleotide polymorphisms (SNPs). However, the utility of these methods in African populations has not been systematically evaluated. METHODOLOGY/PRINCIPAL FINDINGS: In the present study, we investigate prediction of HLA class II (HLA-DRB1 and HLA-DQB1) alleles using SNPs in the Wolaita population, southern Ethiopia. The subjects comprised 297 Ethiopians with genome-wide SNP data, of whom 188 had also been HLA typed and were used for training and testing the model. The 109 subjects with SNP data alone were used for empirical prediction using the multi-allelic gene prediction method. We evaluated accuracy of the prediction, agreement between predicted and HLA typed alleles, and discriminative ability of the prediction probability supplied by the model. We found that the model predicted intermediate (two-digit) resolution for HLA-DRB1 and HLA-DQB1 alleles at accuracy levels of 96% and 87%, respectively. All measures of performance showed high accuracy and reliability for prediction. The distribution of the majority of HLA alleles in the study was similar to that previously reported for the Oromo and Amhara ethnic groups from Ethiopia. CONCLUSIONS/SIGNIFICANCE: We demonstrate that HLA class II alleles can be predicted from SNP genotype data with a high level of accuracy at intermediate (two-digit) resolution in an African population. This finding offers new opportunities for HLA studies of disease epidemiology and population genetics in developing countrie

A potential role for the cerebellar nuclei in absence seizures

© 2013 Alva et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Poster presented ar CNS 2013Non peer reviewe

Interview with Patrick Binsenga

Transcript of interview and audio recording conducted with Patrick Binsenga. Per the Methodology section, the transcript has been lightly edited for clarity. This interview was recorded over Zoom and manually transcribed.https://commons.clarku.edu/gatumba_interviews/1016/thumbnail.jp

Quantitative Methods for Estimating the Reliability of Qualitative Data

Background: Measurement is a indispensable aspect of conducting both quantitative and qualitative research and evaluation. With respect to qualitative research, measurement typically occurs during the coding process. &nbsp; Purpose: This paper presents quantitative methods for determining the reliability of conclusions from qualitative data sources. Although some qualitative researchers disagree agree with such application, a link between the qualitative and quantitative fields is successfully established through data collection and coding procedures. &nbsp; Setting: Not applicable. &nbsp; Intervention: Not applicable. Research Design: Case study. &nbsp; Data Collection and Analysis: Narrative data were collected from a random sample of 528 undergraduate students and 28 professors. &nbsp; Findings: The calculation of the kappa statistic, weighted kappa statistic, ANOVA Binary Intraclass Correlation, and Kuder-Richardson 20 is illustrated through a fictitious example. Formulae are presented so that the researcher can calculate these estimators without the use of sophisticated statistical software. &nbsp; Keywords: qualitative coding; qualitative methodology; reliability coefficient

Interview with Sasha Chanoff of Refuge Point

Transcript of interview and audio recording conducted with Sasha Chanoff. Per the Methodology section, the transcript has been lightly edited for clarity. This interview was recorded over Zoom and manually transcribed.https://commons.clarku.edu/gatumba_interviews/1006/thumbnail.jp

Recombination rate variation shapes barriers to introgression across butterfly genomes.

Hybridisation and introgression can dramatically alter the relationships among groups of species, leading to phylogenetic discordance across the genome and between populations. Introgression can also erode species differences over time, but selection against introgression at certain loci acts to maintain postmating species barriers. Theory predicts that species barriers made up of many loci throughout the genome should lead to a broad correlation between introgression and recombination rate, which determines the extent to which selection on deleterious foreign alleles will affect neutral alleles at physically linked loci. Here, we describe the variation in genealogical relationships across the genome among three species of Heliconius butterflies: H. melpomene (mel), H. cydno (cyd), and H. timareta (tim), using whole genomes of 92 individuals, and ask whether this variation can be explained by heterogeneous barriers to introgression. We find that species relationships vary predictably at the chromosomal scale. By quantifying recombination rate and admixture proportions, we then show that rates of introgression are predicted by variation in recombination rate. This implies that species barriers are highly polygenic, with selection acting against introgressed alleles across most of the genome. In addition, long chromosomes, which have lower recombination rates, produce stronger barriers on average than short chromosomes. Finally, we find a consistent difference between two species pairs on either side of the Andes, which suggests differences in the architecture of the species barriers. Our findings illustrate how the combined effects of hybridisation, recombination, and natural selection, acting at multitudes of loci over long periods, can dramatically sculpt the phylogenetic relationships among species