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This paper describes a named entity recognition (NER) system for short text messages (SMS) running on a mobile platform. Most NER systems deal with text that is structured, formal, well written, with a good grammatical structure, and few spelling errors. SMS text messages lack these qualities and have instead a short-handed and mixed language studded with emoticons, which makes NER a challenge on
Type 1 diabetes (T1D) is strongly associated with autoantibodies against insulin (IAA), glutamic acid decarboxylase 65 (GADA), insulinoma-associated protein 2 (IA-2A) and the most recently identified zinc T8 transporter (ZnT8A). Together or alone, they are important both to predict T1D and to classify diabetes at the time of clinical onset. The single nucleotide polymorphism (SNP) rs13266634 in th
The logistic regression model is frequently used in epidemiologic studies, yielding odds ratio or relative risk interpretations. Inspired by the theory of linear normal models, the logistic regression model has been extended to allow for correlated responses by introducing random effects. However, the model does not inherit the interpretational features of the normal model. In this paper, the auth
Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r(2) < 0.2) strongly associated with CAD at a 5% false discovery rate (FDR). Together, these variants exp
GEANT4 is a Monte Carlo code originally implemented for high-energy physics applications and is well known for particle transport at high energies. The capacity of GEANT4 to simulate neutron transport in the thermal energy region is not equally well known. The aim of this article is to compare MCNP, a code commonly used in low energy neutron transport calculations and GEANT4 with experimental resu
Genome-wide association studies have identified 32 loci influencing body mass index, but this measure does not distinguish lean from fat mass. To identify adiposity loci, we meta-analyzed associations between similar to 2.5 million SNPs and body fat percentage from 36,626 individuals and followed up the 14 most significant (P < 10(-6)) independent loci in 39,576 individuals. We confirmed a previou
Type 2 diabetes (T2D) is a condition of high blood glucose levels due to insulin resistance and defective insulin secretion. Impaired insulin secretion plays a major role in the pathophysiology of T2D, it is mainly attributed to beta cell function i.e. failure to secrete insulin or reduced beta cell mass. The exocytotic process is crucial for beta cell function and its dysregulation leads to impai
Apolipoprotein A-I (apoA-I) is the main protein of high-density lipoprotein (HDL) and a principal mediator of the reverse cholesterol transfer pathway. Variants of apoA-I have been shown to be associated with hereditary amyloidosis. We previously characterized the G26R and L178H variants that both possess decreased stability and increased fibril formation propensity. Here we investigate the Milano
The aim of this study is to analyse the extent of which different types of research funding, gender and type of position have an effect on the size and density of research collaboration networks. The material consists of 3,306 documents by scientists doing cancer research at Lund University, indexed in the Web of Science databases. The author and address fields were analysed, by studying frequenci
Obesity is a complex disease with multiple well-defined risk factors. Nevertheless, susceptibility to obesity and its sequelae within obesogenic environments varies greatly from one person to the next, suggesting a role for gene x environment interactions in the etiology of the disorder. Epigenetic regulation of the human genome provides a putative mechanism by which specific environmental exposur
