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Rate and risk factors for thromboembolism and major bleeding in adults with congenital heart disease taking vitamin K antagonist therapy

Background: The risk of adults with a congenital heart defect (ACHD) developing heart failure, stroke, arrhythmias, and the need for valve replacement is increased compared to healthy peers. Evidence for the use of novel oral anticoagulants (NOAC) in this patient group is still lacking and vitamin K antagonists (VKA) are the primary choice for patients with a mechanical valve. The present aim was

Acid suppressants use and risk of atherosclerotic cardiovascular disease in middle-aged and older adults

Background and aims: Concerns regarding adverse events associated with the use of acid suppressants have increased. However, the impact of proton pump inhibitors (PPIs) and histamine‐2 receptor antagonists (H2RAs) on the risk of atherosclerotic cardiovascular disease (ASCVD) remains unknown. This study aimed to estimate the risk of ASCVD in association with the use of PPIs and H2RAs. Methods: This

Tumor purity adjusted beta values improve biological interpretability of high-dimensional DNA methylation data

A common issue affecting DNA methylation analysis in tumor tissue is the presence of a substantial amount of non-tumor methylation signal derived from the surrounding microenvironment. Although approaches for quantifying and correcting for the infiltration component have been proposed previously, we believe these have not fully addressed the issue in a comprehensive and universally applicable way.

Analysis of regional CO2contributions at the high Alpine observatory Jungfraujoch by means of atmospheric transport simulations and δ13C

In this study, we investigated the regional contributions of carbon dioxide (CO2) at the location of the high Alpine observatory Jungfraujoch (JFJ, Switzerland, 3580ĝ€¯mĝ€¯a.s.l.). To this purpose, we combined receptor-oriented atmospheric transport simulations for CO2 concentration in the period 2009-2017 with stable carbon isotope (δ13C-CO2) information. We applied two Lagrangian particle disper

Comparison of contrast-to-noise ratios of different detection methods in ultrasound optical tomography

Ultrasound optical tomography (UOT) is a hybrid imaging modality based on interaction between ultrasound and light, with a potential to extend optical imaging capabilities in biological tissues to depths of several centimeters. Several methods have been developed to detect the UOT signal. To better understand their potential for deep tissue imaging, we present a theoretical contrast-to-noise compa

Mapping a buried Quaternary valley and pre-Quaternary faults through seismic methods in Copenhagen, Denmark

Limited knowledge of the subsurface geology motivates the use of geophysical techniques before large engineering projects are conducted. These applications are normally restricted to satisfy the project aims, like mapping the near surface sediments, unconsolidated rocks and/or geological structures that may affect the construction locally. However, the applications can also contribute to the gener

The metabolomic profile associated with clustering of cardiovascular risk factors A multi-sample evaluation

Background A clustering of cardiovascular risk factors is denoted the metabolic syndrome (MetS), but the mechanistic underpinnings of this clustering is not clear. Using large-scale metabolomics, we aimed to find a metabolic profile common for all five components of MetS. Methods and findings 791 annotated non-xenobiotic metabolites were measured by ultra-performance liquid chromatography tandem m

Patient-oriented risk score for predicting death 1 year after myocardial infarction : the SweDen risk score

OBJECTIVES: Our aim was to derive, based on the SWEDEHEART registry, and validate, using the Western Denmark Heart registry, a patient-oriented risk score, the SweDen score, which could calculate the risk of 1-year mortality following a myocardial infarction (MI).METHODS: The factors included in the SweDen score were age, sex, smoking, diabetes, heart failure and statin use. These were chosen a pr

The human batokine EPDR1 regulates β-cell metabolism and function

Objective: Ependymin-Related Protein 1 (EPDR1) was recently identified as a secreted human batokine regulating mitochondrial respiration linked to thermogenesis in brown fat. Despite that EPDR1 is expressed in human pancreatic β-cells and that glucose-stimulated mitochondrial metabolism is critical for stimulus-secretion coupling in β-cells, the role of EPDR1 in β-cell metabolism and function has

Brain region-specific microglial and astrocytic activation in response to systemic lipopolysaccharides exposure

Microglia cells are the macrophage population within the central nervous system, which acts as the first line of the immune defense. These cells present a high level of heterogeneity among different brain regions regarding morphology, cell density, transcriptomes, and expression of different inflammatory mediators. This region-specific heterogeneity may lead to different neuroinflammatory response

Comparison of the Effect of Exposing Users for Height While Being Active Versus Passive in a Virtual Environment - A Pilot Study

Phobias have historically and evolutionary been vital for humans to escape quickly or fight in dangerous situations. The anxieties that phobias evoke have made people live longer. Evolutionarily, anxiety has been good, but fear and anxiety come in unjustified situations for the civilized population in the 21st century. Some people have an extra sensitive reaction system activated too often in irre

Prediction and exposure of delays from a base station perspective in 5G and beyond networks

The inherent flexibility of 5G networks come with a high degree of configuration and management complexity. This makes the performance outcome for UEs, more than ever, dependent on intricate configurations and interplay between algorithms at various network components. In this paper, we take initial steps towards a performance exposure system at the base station using a data-driven approach for pr

Emerging strategies in 3D printed tissue models for in vitro biomedical research

3D bioprinting has the potential to provide a unified framework for the manufacturing of tissue models for biomedical research, including drug discovery, disease modeling, and regenerative medicine. However, it remains challenging to 3D print replicas of human tissues that have accurate cell types, cellular densities, extracellular matrix compositions, and that can be assayed in a minimally invasi

Trust Your IMU : Consequences of Ignoring the IMU Drift

In this paper, we argue that modern pre-integration methods for inertial measurement units (IMUs) are accurate enough to ignore the drift for short time intervals. This allows us to consider a simplified camera model, which in turn admits further intrinsic calibration. We develop the first-ever solver to jointly solve the relative pose problem with unknown and equal focal length and radial distort

A Low Complexity Sequential Resource Allocation for Panel-Based LIS Surfaces

Large intelligent surfaces (LISs) is an evolution of massive MIMO systems allowing for huge capacity gains. To reduce implementation complexity, it is convenient to implement the LIS using panels that are either activated or deactivated, and associated to terminals according to their propagation characteristics to the panels. The associated spatial resource allocation to maximise the terminals', a

Phenomenology at the large hadron collider with deep learning : the case of vector-like quarks decaying to light jets

In this work, we continue our exploration of TeV-scale vector-like fermion signatures inspired by a Grand Unification scenario based on the trinification gauge group. A particular focus is given to pair-production topologies of vector-like quarks (VLQs) at the LHC, in a multi-jet plus a charged lepton and a missing energy signature. We employ Deep Learning methods and techniques based in evolutive

Two-photon fluorescence lifetime imaging applied to the mixing of two non-isothermal sprays : temperature and mixing fraction measurements

Droplets temperature is a key parameter for the study of heat and mass transfers in many spray applications. Time correlated single photons counting (TCSPC) is applied to monitor the fluorescence decay and determine the droplet temperature in the mixing zone of two sprays which are injected with significantly different temperatures. For some well-chosen fluorescent dye, like rhodamine B (RhB), the