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Background: Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by diverse presentations and a strong genetic component. Environmental factors, such as prematurity, have also been linked to increased liability for ASD, though the interaction between genetic predisposition and prematurity remains unclear. This study aims to investigate the impact of genetic liability and

I varje designprojekt bör man tänka på miljöaspekten av det man gör och just detta projekt fokuserar på textilier i förhållande till de möbler de fästs vid. Att fästa tyg är en extra svår utmaning när det kommer till möbeldesign. Ofta används lim, spik eller häftstift, vilket skadar både tyg och den underliggande träkonstruktionen. Genom analoga prototypmetoder utforskar detta projekt alternativa Every design project should consider sustainability, and this one focuses on textiles in relation to furniture. A particularly difficult problem with furniture design is textile attachment. The dressing of a piece of furniture or a seat is usually done using glue and nails, which are invasive both on the fabric and the wood. Through analogue prototyping, this project explores alternative ways to d

This timely book explores the contribution of international human rights and investment law to advancing climate action. It presents a unique perspective on climate change in an international law context, analyzing areas of law that are critical to the achievement of the Paris Agreement’s goals in the absence of sufficient state ambition.

Modern Artificial Intelligence (AI) technologies have a rapidly growing impact on a wide range of human activities. AI methods are being used in varied domains such as healthcare, material science, infrastructure engineering, social media, surveillance technologies, and even artistic expression. They have been used for the purposes of drug discovery via protein folding prediction, power usage opti

In this paper we provide a far-reaching generalization of the existent results about invariant subspaces of the differentiation operator D=∂t on C^{\infty}(0,1) and the Volterra operator Vf(t)=∫f(s)ds, on L^{2}(0,1). We use an abstract approach to study invariant subspaces of pairs D,V with DV=I, where V is compact and quasi-nilpotent and D is unbounded densely defined and closed on the same Hilbe

Regional researchers have extensively debated contradictions of identity-based regionalism and politically initiated regionalisation. Works addressing the spatial imaginaries of state-led regional institutionalisation processes have since emerged. Sometimes neglected, however, is theoretical attention to what I suggest are acts of counter-institutionalisation: attempts to destabilise dominant regi

The project developed a structured workflow for 3D scanning and documentation of artworks. This workflow covers every step from initial image capture to the final 3D model, ensuring consistency and quality in how artworks are digitized. It was presented to students as part of a course, giving them hands-on experience with 3D scanning equipment and photogrammetry software. Through practical exercis

Atmospheric methane (CH4) growth rates reached unprecedented values in the years 2020-2022. To identify the main drivers of this increase, an inverse modeling study estimated regional and sectoral emission changes for 2016-2022. Three inverse estimates based on different sets of atmospheric CH4 observations (surface observations only, surface and aircraft observations, and GOSAT observations) cons

Quadruped robots are currently a widespread platform for robotics research, thanks to powerful Reinforcement Learning controllers and the availability of cheap and robust commercial platforms. However, to broaden the adoption of the technology in the real world, we require robust navigation stacks relying only on low-cost sensors such as depth cameras. This paper presents a first step towards a ro

Black-box policy optimization is a class of reinforcement learning algorithms that explores and updates the policies at the parameter level. This class of algorithms is widely applied in robotics with movement primitives or non-differentiable policies. Furthermore, these approaches are particularly relevant where exploration at the action level could cause actuator damage or other safety issues. H

High-risk neuroblastoma (NB) is a rare, solid childhood cancer with poor prognosis due to treatment resistance and metastasis. Improved patient outcome is dependent on the understanding of the resistance mechanisms and subsequent development of novel treatment options.In Paper I, we established a clinically relevant in vivo treatment protocol using current standard-of-care chemotherapy (COJEC). We

Enzymes serve as biological catalysts in a wide range of applications, from household products to industrial processes, research, diagnostics and forensic science. They accelerate reactions with high specificity under mild reaction conditions and are essential for life. Advances in recombinant DNA technology have enabled the use of microorganisms as efficient cell factories for production of heter

The twin transition, which combines green and digital innovation in economic activities, is increasingly central to policy agendas and is also receiving growing attention in regional research. However, accurately mapping green, digital and twin (both green and digital) economic activities across regions remains challenging, particularly due to data constraints. In this study, we advance this resea

Norway has Europe’s highest share of renewable electricity production and the lowest power sector emissions. Thanks to the country’s stable power production, Norway has affordable and stable access to electricity, leading to industries choosing to relocate to the country. To keep this industry, the country needs to meet the increasing electricity demand and ensure it is still competitively priced.