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OBJECTIVE: Autoantibodies have long been recognized as biomarkers of islet autoimmunity in type 1 diabetes, but their role in the pathogenesis is not fully understood. The aim of this study was to analyze clinical and hereditary characteristics of children presenting with and without autoantibodies at type 1 diabetes diagnosis.RESEARCH DESIGN AND METHODS: Data were collected from children (<18 yea

The Iberian ribbed newt (Pleurodeles waltl) constitutes a central model for probing the basis of vertebrate regeneration. Here, we present the sequencing and chromosome-scale assembly of the 20.3Gb P. waltl genome, which exhibits the highest level of contiguity and completeness among giant genome assemblies. We uncover that DNA transposable elements are the major contributors to its expansion, wit

Nanowires have an ideal shape for high-resolution imaging, with a small cross-section for high resolution and a long length for strong absorption. However, since the absorption in nanowires is dominated by nanophotonic effects, it is unclear what resolution and efficiency such devices could offer. Here, we investigate the limits of spatial resolution and efficiency of nanowire-based direct detecto

Objectives: Menstrual migraine (MM) is a debilitating neurological disorder triggered by fluctuations in ovarian hormones, particularly estrogen. While the calcitonin gene-related peptide (CGRP) system is central to migraine pathophysiology, the molecular mechanisms linking hormonal changes to CGRP signaling remain unclear. This study investigates how sex hormones regulate CGRP-related gene expres

Denna uppsats undersöker hur EU:s konkurrenslagstiftning reglerar interoperabilitetsskyldigheter för dominerande digitala plattformar. Uppsatsen visar hur EU-domstolens avgörande i Android Auto (C-233/23) omformar teorin om nödvändiga nyttigheter (Essential Facilities Doctrine, EFD) som etablerades i Bronner-domen (C-7/97). Vidare analyseras denna framväxande doktrins samspel med de interoperabiliThis thesis explores how EU competition law governs interoperability obligations for dominant digital platforms. It shows how the CJEU’s judgment in Android Auto (C-233/23) redefines the Essential Facilities Doctrine (EFD) established in Bronner judgment (C-7/97) and how this emerging doctrine interacts with the interoperability obligations introduced by the Digital Markets Act (DMA). The Android

Under uppsvinget av corona pandemin år 2020 läarde vi att anpassa oss till förändrade förutsättningar i samhället till större grad än tidigare. Forskare och företag världen över samarbetade för att utveckla och producera ett vaccin som skulle minska spridningen av viruset. Idag är denna pandemin nästan ett minne blott tack vare messengerRNA (mRNA)-vaccin, som har revolutionerat leverandet av mRNA Lipid nanoparticles (LNPs) are vesicular structures composed of phospholipids commonly used in vaccine formulations due to their ability to protect and encapsulate mRNA for efficient delivery to target cells. This delivery system was pivotal for the rapid development of COVID-19 mRNA vaccines. Efficient mRNA delivery depends on the particle size and stability of LNPs, making these key parameters t

BACKGROUND: Weight-adjusted-waist index (WWI) is an anthropometric index reflecting fat mass and muscle mass, both of which are important factors influencing insulin resistance and inflammation.OBJECTIVES: We aimed to examine the associations of WWI with all-cause, cardiovascular, and noncardiovascular mortality among individuals with type 2 diabetes (T2D) and further investigate whether insulin r

Cerebrospinal fluid (CSF) α-synuclein (α-syn) seed amplification assays (SAAs) can detect Lewy body pathology (LBP) with high accuracy but are invasive and costly. To address these challenges, this study evaluated a two-step workflow combining prescreening via smell-function testing with confirmatory CSF α-syn SAA testing only in individuals with reduced smell, for predicting postmortem LBP status

The influence of individual psychological and cognitive characteristics on preferences for value versus growth stocks (VSvGS) is not well understood. This study examines the influence of personality traits, financial self-efficacy (FSE), and versatile cognitive styles (VCS) on the choice between VSvGS. Specifically, it examines both the direct effects of personality traits on individual preference

Vindkraften spelar en avgörande roll i den gröna omställningen. Men vad händer när vindkraftverken nått slutet av sin livslängd? Tornen som består av enorma mängder stål återbrukas i vissa fall efter renovering men efter två–tre gånger sätter de strukturella förutsättningar stopp för återbruk och torndelarna i stål smälts oftast om till ”nytt stål”. En process som kräver mycket energi och resulterClimate change is a fact, new innovations and solutions need to be applied to mitigate the effects around the world. Greenhouse gases from burning fossil fuels are the primary cause of climate change, one of them being carbon dioxide. There are many attempts to make a turn-around regarding the use of fossil fuels and one of them is wind power. However, due to extreme loads their service life is ju

This study is concerned with examining the interrelated themes of power, resistance and exile in a Burmese context. It outlines concepts and exercise of power in Burma as well as the background of present-day leftist articulations within the anti-military movement. This study tentatively explores the context in which leftist dissidents are displaced in Thailand, and involve an investigating of the

MushroomRL is an open-source Python library developed to simplify the process of im- plementing and running Reinforcement Learning (RL) experiments. Compared to other available libraries, MushroomRL has been created with the purpose of providing a com- prehensive and exible framework to minimize the effort in implementing and testing novel RL methodologies. The architecture of MushroomRL is built

Highly dynamic robotic tasks require high-speed and reactive robots. These tasks are particularly challenging due to the physical constraints, hardware limitations, and the high uncertainty of dynamics and sensor measures. To face these issues, it's crucial to design robotics agents that generate precise and fast trajectories and react immediately to environmental changes. Air hockey is an example

Reinforcement learning in robotics is extremely challenging due to many practical issues, including safety, mechanical constraints, and wear and tear. Typically, these issues are not considered in the machine learning literature. One crucial problem in applying reinforcement learning in the real world is Safe Exploration, which requires physical and safety constraints satisfaction throughout the l

This thesis investigates the role of trust in the context of decentralised finance (DeFi). Representing a new paradigm shift in finance, DeFi emerge from the technological developments that we have witnessing in the last decades, particularly decentralised ledger technologies (DLTs) of which Blockchain is perhaps the most popular. DeFi is changing the way that firms raise financial capital and a c

This paper examines how the concept ‘nature-positive’ as a means to enhance biodiversity is defined and used, viewed through the lens of power. Building on a three-dimensional conceptualization of power, we elaborate on i) how ‘nature-positive’ enters and remains on business and policy agendas, ii) different interpretations from both ecological and business perspectives, and iii) the governance of

Transferring patients from the ward of their specialty or consultant is described as boarding. 1 Boarding patients is becoming increasingly prevalent due to greater pressure on hospital capacity. This practice compromises patient safety through delayed investigations, prolonged hospital stays, and increased risk of hospital-acquired infections. 1 2 We evaluated how regularly boarded patients were

Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy gradient techniques. A precise (low variance) and accurate (low bias) gradient estimator is crucial to face increasingly complex tasks. Traditional policy gradient algorithms use the likelihood-ratio trick, which is known to produce unbiased but high variance estimates. More mod