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Previous research on cardiometabolic risk has mostly used a variable-centred approach, assessing risk factors separately or in predefined combinations. This study used a probabilistic modelling approach to identify distinct cardiometabolic risk classes and estimate the predicted prevalence of subclinical atherosclerosis. The analysis included 28,307 middle-aged adults from the Swedish CArdioPulmon
Ammonia/diesel dual-fuel compression-ignition engines are a promising solution for reducing carbon emissions in marine applications, yet their combustion efficiency and nitrogen-related emissions remain major challenges. In this study, combined numerical simulations and experiments were performed to investigate combustion characteristics and emissions in a two-stroke, low-speed ammonia/diesel dire
Developing individualized spatial models that capture the complex dynamics of multi-electrode EEG data is essential for accurately decoding global neural activity. A widely used approach is network modeling, where electrodes are represented as nodes. A key challenge lies in defining the network edges and weights, as precise connectivity estimation is critical for enhancing neural characterization
This article examines how generative artificial intelligence (AI) design platforms are reshaping fashion and textile design by mediating creative processes, reconfiguring design roles and influencing aesthetic outcomes. While these design practices have traditionally relied on embodied techniques such as sketching or draping, AI platforms shift the creative process towards prompt-writing, thus tra
The transition to post-quantum cryptography is well underway. Driven by the recognition that Shor's algorithm would render all widely deployed asymmetric cryptosystems insecure in the presence of a sufficiently capable quantum computer, the cryptographic community has spent the past decade designing, evaluating, and standardizing a new generation of public-key primitives. In 2024, ML-KEM became th
Despite extensive cataloging of carcinogenic exposures by the International Agency for Research on Cancer (IARC) and pharmacogenomic variation by resources such as PharmVar and CPIC, few platforms unify exposure, metabolic activation and detoxification, DNA damage, and genetic annotation within a single interactive visualization framework. This gap limits systematic evaluation of gene-environment
Tryptophan is an essential amino acid for the human body and is crucial for protein synthesis. It is primarily metabolized through the kynurenine, 5-hydroxytryptamine, and indole pathways. The various bioactive compounds produced through tryptophan metabolism can regulate a range of physiological functions, including digestive, metabolic, immune responses, and neurological functions. New evidence
Denna berättelse om Synergi mellan Strål- och Immun-Terapi har sitt ursprung i resultaten av försök som utfördes år 2001 vilka avsåg att kombinera tumörvaccin-behandling med strålterapi av Fischer-344 råttor med gliom-tumörer inokulerade i hjärnan.Med 3 omgångar tumörvaccin kombinerat med endast en fraktion strålterapi á 5Gy, överlevde sex av åtta behandlade djur (ca.75%). Detta dramatiska re
Predicting the next location of human mobility and its semantic information can support recommendations for location-based services and trajectory mining, such as human mobility pattern recognition and sequential anomaly detection. Previous studies have ignored the implicit correlation between location and spatiotemporal information thereby limiting the model performance in terms of location predi
This article examines the function of scriptures in the parliament of one of the world’s most secular countries, namely Sweden, with a particular focus on the Bible. By applying Michael Billig’s thesis on banal nationalism, the article argues that references to the Qur’an in parliamentary discourse express what Billig describes as “hot” nationalism, and the references to the Bible express “banal”
Psoriasis is a chronic immune-mediated disease driven by genetic susceptibility and environmental factors, including microbial exposure. While HLA-C-linked variants represent the strongest genetic risk factors, their relationship with the cutaneous microbiome remains incompletely understood. This study aimed to investigate host-microbiome interactions in psoriasis through integrative multi-omics a
The proliferation of renewable energy resources is imposing demands on electric distribution infrastructure that traditional low-frequency transformers are not equipped to fulfill. Conventional transformers operate with high energy efficiency but offer zero active controllability with no inherent power quality management and support for hybrid power flows. The solid state transformer (SST), a powe
Nordic animation has experienced an intense development through digitalization which has led to wider proliferation and increased versatility. This chapter maps the development of Nordic animation in the 21st Century from feature film tentpoles to independent shorts and the thematic diversity it constitutes.
Loess–palaeosol sequences (LPS) represent one of the most important continental archives of late Quaternary environmental change in Europe. Establishing reliable chronologies is essential for reconstructing dust dynamics and for correlating regional loess stratigraphies. In this study, we present the first systematically derived mass accumulation rate (MAR) dataset for six key Polish LPS, based on
INTRODUCTION: Acute unilateral vestibulopathy (AUVP), or vestibular neuritis, disrupts the vestibulo-ocular reflex (VOR), leading to impaired gaze stability during head movements. Vestibular function typically recovers to some extent. However, if recovery is incomplete, corrective eye saccades must compensate for the deficient VOR function. The aim was to analyze the progression of VOR gain recove
