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Preheart failure comorbidities and impact on prognosis in heart failure patients : a nationwide study

Background: Data regarding the impact of preheart failure (HF) comorbidities on the prognosis of HF are scarce, especially in the younger HF patients. Objectives: To investigate pre-existing comorbidities in HF patients versus matched controls and to assess their impact on mortality. Methods: We included all first-time in-hospital and outpatient diagnoses of HF from 1995 to 2017, and comorbidities

Effective interventions in preventing gestational diabetes mellitus: A systematic review and meta-analysis

Background: Lifestyle choices, metformin, and dietary supplements may prevent GDM, but the effect of intervention characteristics has not been identified. This review evaluated intervention characteristics to inform the implementation of GDM prevention interventions. Methods: Ovid, MEDLINE/PubMed, and EMBASE databases were searched. The Template for Intervention Description and Replication (TIDieR

Chemodiversity of Cyanobacterial Toxins Driven by Future Scenarios of Climate Warming and Eutrophication

Climate change and eutrophication are two environmental threats that can alter the structure of freshwater ecosystems and their service functions, but we know little about how ecosystem structure and function will evolve in future scenarios of climate warming. Therefore, we created different experimental climate scenarios, including present-day conditions, a 3.0 °C increase in mean temperature, an

Designing and Maximizing Switch-Mode Efficiency of MODPSU, the Modular Power Supply

This work is an investigation into practical design and loss minimization of DC/DC-switched power supplies, enabling cooler operation, smaller size, and additional or wider areas of use. There is an abundance of switch controller ICs on the market and a few of the manufacturers offer very sophisticated design tools that suggest operating parameters and grade components. However, one of the major

Environment agnostic goal-conditioning : a study of reward-free autonomous learning

In this paper we study how transforming regular reinforcement learning environments into goal-conditioned environments can let agents learn to solve tasks autonomously and reward-free. We show that an agent can learn to solve tasks by selecting its own goals in an environment-agnostic way, at training times comparable to externally guided reinforcement learning. Our method is independent of the un

Urinary tract infection during pregnancy and time relation to preterm birth—a Swedish observational study

Introduction: It is well known that urinary tract infection (UTI) during pregnancy is associated with preterm birth, but information about the risk of preterm birth depending on gestational week of infection is sparingly described in the literature. Material and Methods: An observational study based on data from Swedish registers including women giving birth 2014–2020 (n = 684 595). Pregnant women

Multi-omic definition of metabolic obesity through adipose tissue–microbiome interactions

Obesity’s metabolic heterogeneity is not fully captured by body mass index (BMI). Here we show that deep multi-omics phenotyping of 1,408 individuals defines a metabolome-informed obesity metric (metBMI) that captures adipose tissue-related dysfunction across organ systems. In an external cohort (n = 466), metBMI explained 52% of BMI variance and more accurately reflected adiposity than other omic

Nuclease-NTPase antiphage defence systems use conserved molecular features to control bacterial immunity

Bacteria encode diverse defence systems, including restriction-modification and CRISPR-Cas, that cleave nucleic acid to protect against phage infection. Bioinformatic analyses demonstrate that many recently identified antiphage defence operons comprise a nuclease and NTPase protein, suggesting that additional nucleic acid-targeting systems remain to be understood. Here we develop large-scale compa

Towards calibration robust: : 6DoF multi-horizon head motion prediction for EdgeXR

Accurately predicting head motion is essential for reducing motion-to-photon (MTP) latency in XR systems. However, standard evaluation practices often conflate true prediction error with residual calibration artifacts-such as global rotation bias, lever-arm offsets, or sub-frame time skews-even after alignment. These small but realistic miscalibrations can dominate reported errors and obscure the

Association of Pathogenic/Likely Pathogenic Genetic Variants for Cardiomyopathies With Clinical Outcomes : A Multiancestry Analysis in the All of Us Research Program

BACKGROUND: This study aimed to evaluate the prevalence of pathogenic/likely pathogenic cardiomyopathy variant carriers in a multiancestry US population and examine the risk of adverse clinical outcomes. METHODS: This retrospective cohort study included multiancestry US adults aged ≥18 years with sequencing data from the All of Us Research Program. Pathogenic/likely pathogenic variants in cardiomy

Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy

Dilated cardiomyopathy (DCM) is a leading cause of heart failure and cardiac transplantation. We report a genome-wide association study and multi-trait analysis of DCM (14,256 cases) and three left ventricular traits (36,203 UK Biobank participants). We identified 80 genomic risk loci and prioritized 62 putative effector genes, including several with rare variant DCM associations (MAP3K7, NEDD4L a

Comparing Chemical Reaction Mechanisms for Jet Fuel in Turbulent Premixed Combustion Simulations

The compositions of alternative jet fuels can vary radically, and the consequences of these differences are a subject of ongoing investigation. Numerical combustion simulations are vital to this research and require chemical reaction mechanisms that efficiently and accurately capture the chemical pathways of combustion. Here, we present the recently developed Z79 collection of small pathway-centri

Large-eddy simulations of separated flow and heat transfer in a rib-roughened channel

Ribbed channel flows play a crucial role in various engineering systems where turbulence enhancement and improved heat transfer are required, such as in turbine blade cooling and combustor wall applications. Numerical simulations have emerged as an essential tool for analyzing the intricate turbulence dynamics and flow separation phenomena, which are fundamental for optimizing the channel performa

Impact of gaze-based interaction and augmentation on human-robot collaboration in critical tasks

We present a user study analyzing head-gaze- based robot control and foveated visual augmentation in a simulated search-and-rescue task. Results show that foveated augmentation significantly improves task performance, reduces cognitive load by 38%, and shortens task time by over 60%. Head-gaze patterns analysed over both the entire task duration and shorter time segments show that near and far att

Towards understanding the role of humans in collaborative tasks

This paper explores the dynamics of human-robot collaboration through a comparative study of human-assisted and system-assisted approaches in a search and rescue application. Leveraging virtual environments and mixed-reality interfaces, the study evaluates task performance, workload, usability, and subjective experiences of participants. Results indicate that the system-assisted approach significa

Cardiovascular events following coronavirus disease 2019 vaccination in adults : a nationwide Swedish study

Background and Aims. While the rationale for coronavirus disease 2019 (COVID-19) vaccination is to reduce complications and overall mortality, some cardiovascular complications from the vaccine itself have been demonstrated. Myocarditis and pericarditis are recognized as rare acute adverse events after mRNA vaccines in young males, while evidence regarding other cardiovascular events remains limit

A fast and scalable kymograph alignment algorithm for nanochannel-based optical DNA mappings.

Optical mapping by direct visualization of individual DNA molecules, stretched in nanochannels with sequence-specific fluorescent labeling, represents a promising tool for disease diagnostics and genomics. An important challenge for this technique is thermal motion of the DNA as it undergoes imaging; this blurs fluorescent patterns along the DNA and results in information loss. Correcting for this

A Randomised RSA Study of Peri-Apatite [trademark] HA coating of a Knee Prosthesis

Fifty knees scheduled for a total knee prosthesis were randomized in two groups. Both groups had a noncemented fixation of the porous-coated implants but one group received a prosthesis with ceramic coating on the porous surface of the implant. The knees were evaluated with RSA technique regarding micromotion the first two years. There were less micromotion in the coated group. The results indicat

Visualizing the entire DNA from a chromosome in a single frame

The contiguity and phase of sequence information are intrinsic to obtain complete understanding of the genome and its relationship to phenotype. We report the fabrication and application of a novel nanochannel design that folds megabase lengths of genomic DNA into a systematic back-and-forth meandering path. Such meandering nanochannels enabled us to visualize the complete 5.7 Mbp (1mm) stained DN

DigiTrust – Ett tvärvetenskapligt projekt

Detta är introduktionskapitet till rapporten "DigiTrust: Tillit i det digitala. Tvärvetenskapliga perspektiv från ett forskningsprojekt", där forskargruppsledarna beskriver grunderna för projektet.