Search results

Filter

Filetype

Your search for "*" yielded 530424 hits

Efficacy of the antibacterial envelope to prevent cardiac implantable electronic device infection in a high-risk population

AimsInfection is a serious complication of cardiac implantable electronic device (CIED) therapy. An antibiotic-eluting absorbable envelope has been developed to reduce the infection rate, but studies investigating the efficacy and a reasonable number needed to treat in high-risk populations for infections are limited.Methods and resultsOne hundred and forty-four patients undergoing CIED implantati

Possible Relationship between the HLA-DRA1 Intron Haplotype of Three Single-Nucleotide Polymorphisms in Intron 1 of the HLA-DRA1 Gene and Autoantibodies in Children at Increased Genetic Risk for Autoimmune Type 1 Diabetes

Recently, a haplotype of three single-nucleotide polymorphisms (tri-SNP) in intron 1 of the HLA-DRA1 gene was found to be strongly associated with type 1 diabetes risk in HLA-DR3/3 individuals. The tri-SNP reportedly function as “expression quantitative trait loci,” modulating HLA-DR and -DQ expression. The aim was to investigate HLA-DRA1 tri-SNPs in relation to extended HLA class II haplotypes an

Assessing Theoretical Research Contributions in CCT

The present manuscript assesses the rhetorical claims made by authors in a selected corpus of CCT articles (2005-2019) in three representative journals. Against the widespread mantras of “theoretical contributions”, it offers a humble, pluralist framework for CCT scholars to shape and develop relevant and impactful research contributions.

Efficient methods for Gaussian Markov random fields under sparse linear constraints

Methods for inference and simulation of linearly constrained Gaussian MarkovRandom Fields (GMRF) are computationally prohibitive when the number ofconstraints is large. In some cases, such as for intrinsic GMRFs, they may even beunfeasible. We propose a new class of methods to overcome these challenges in the common case of sparse constraints, where one has a large number of constraints and each o