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The process of constructing, maintaining, and reconstructing episodic memories is closely linked to the temporal dynamics of visual exploration through sequences of eye movements (Johansson et al., 2022; Nikolaev et al., 2023). However, the neural mechanisms that mediate relational memory across eye movements are not yet fully understood. This study presented participants with a series of visuospa
The short-time iterative adaptive approach is a spectral estimation alternative to the short-time Fourier transform for non-stationary vibration analysis. This technique offers a reduction in leakage effects and a higher resolution in exchange for a higher computational complexity. The short-time iterative adaptive approach can be summarized as a high-resolution data-dependent approach which has b
We propose a novel hybrid approach that integrates Neural Ordinary Differential Equations (NODEs) with Bayesian optimization to address the dynamics and parameter estimation of a modified time-delay-type Susceptible-Infected-Removed (SIR) model incorporating immune memory. This approach leverages a neural network to produce continuous multi-wave infection profiles by learning from both data and th
Atrial fibrillation (AF) is a complex condition caused by various underlying pathophysiological disorders and is the most common heart arrhythmia worldwide, affecting 2 % of the European population. This prevalence increases with age, imposing significant financial, economic, and human burdens. In Europe, stroke is the second leading cause of death and the primary cause of disability, with numbers
There are many ways to acquire and process diffusion MRI (dMRI) data for group studies, but it is unknown which maximizes the sensitivity to white matter (WM) pathology. Inspired by this question, we analyzed data acquired for diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) at 3T (3T-DTI and 3T-DKI) and DTI at 7T in patients with systemic lupus erythematosus (SLE) and healthy c
Pulmonary fibrosis is a severe condition in interstitial lung diseases (ILD) such as idiopathic pulmonary fibrosis (IPF) and systemic sclerosis-ILD, where the underlying mechanism is not well defined and with no curative treatments available. Serotonin (5-HT) signaling via the 5-HT 2B receptor has been recognized as a promising preclinical target for fibrosis. Despite this, the involvement of the
Today, the textile industry in Sweden faces several issues regarding its negative environmental impact and lack of circularity. One identified topic within this area is the gap between fashion e-retailers and second-hand organisations or other receivers of garments. The gap creates a business opportunity in terms of a business model for a digital service that can support circularity by connecting
Announced in this Comment and in collaboration with Nature Medicine is the convening of the Data-Driven Decision Support in Obesity Management Commission, to promote adequate scientific evidence to support obesity management across global populations.
Background: Hippocampal sclerosis of aging (HS-A), a common cause of dementia, can currently only be diagnosed at autopsy. We aimed to identify and evaluate MRI metrics to distinguish HS-A from Alzheimer’s Disease neuropathologic change (ADNC) and cases with limited/no pathology. Methods: HS-A (N = 5), ADNC (N = 10), and limited/no pathology (N = 12) cases were compared on postmortem MRI signature
Continuous glucose monitors (CGMs) provide detailed glucose profiles, but their relevance to health outcomes in individuals without diabetes remains unclear. Here we assess time in range (TIR3.9–5.6 and TITR3.9-7.8) and glycaemic variability in individuals (N = 3,634; age 46 ± 12 y; 83% female; BMI 27 ± 6 kg/m²) from PREDICT 1 (NCT03479866), PREDICT 2 (NCT03983733), and PREDICT 3 (NCT04735835) wit
Abstract – There is a growing interest in the genomic and developmental basis of discrete or multimodal phenotypes governed by genetic polymorphisms. Recent research has uncovered the genomic basis of such polymorphisms and their maintenance through balancing selection such as negative frequency-dependent selection (NFDS). Such polymorphisms often originate through structural genomic changes or th
PURPOSE: Deleterious effects from concomitant gradients are amplified at lower field strengths and stronger gradients. We aimed to show the signal errors caused by concomitant gradients across a wide range of hardware configurations and propose corrections that can be applied during experimental design and analysis.THEORY AND METHODS: We derived a compact but accurate expression for concomitant gr
The increasing demand for accessible phosphorus sources, essential for plant growth, is placing growing pressure on both industry and academia. Here, we investigate nanoplatelets as carriers for phosphate species, using Laponite® as a model system for sprayable phosphorus formulations. We examine how phosphate species chain length (1, 2, 3, 14, 60, and 130 monomers) governs dispersion stability an
Sound event localization and detection (SELD) systems using audio recordings from a microphone array rely on spatial cues for determining the location of sound events. As a consequence, the localization performance of such systems is to a large extent determined by the quality of the audio features that are used as inputs to the system. We propose a new feature, based on neural generalized cross-c
Fire behaviour is changing in many regions worldwide. However, nonlinear interactions between fire weather, fuel, land use, management and ignitions have impeded formal attribution of global burned area changes. Here, we demonstrate that climate change increasingly explains regional burned area patterns, using an ensemble of global fire models. The simulations show that climate change increased gl
We present a novel approach to the 3D sound source localization task for distributed ad-hoc microphone arrays by formulating it as a set-to-set regression problem. By training a multi-modal masked autoencoder model that operates on audio recordings and microphone coordinates, we show that such a formulation allows for accurate localization of the sound source, by reconstructing coordinates masked
Obesity and cardiometabolic disease often, but not always, coincide. Distinguishing subpopulations within which cardiometabolic risk diverges from the risk expected for a given body mass index (BMI) may facilitate precision prevention of cardiometabolic diseases. Accordingly, we performed unsupervised clustering in four European population-based cohorts (N ≈ 173,000). We detected five discordant p
Since the last edition of this book (2014), progress has been astonishing in all areas of Natural Language Processing, with recent achievements in Text Generation that spurred a media interest going beyond the traditional academic circles. Text Processing has meanwhile become a mainstream industrial tool that is used, to various extents, by countless companies. As such, a revision of this book was
Language exposure and use (LEU) are widely viewed as key factors in multilingual development, and research highlights the importance of considering not just the frequency and quantity of LEU, but also contextual factors such as when and where a language is used, with whom and why. In this study, we illustrate the complexity of LEU in two contexts (study abroad and migration) by applying sequential
