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Transformer models pre-trained on self-supervised tasks and fine-tuned on downstream objectives have achieved remarkable results across a variety of domains. However, fine-tuning these models for clinical predictions from longitudinal medical data, such as electronic health records (EHR), remains challenging due to limited labeled data and the complex, event-driven nature of medical sequences. Whi
Introduction: This study evaluated real-world cassette use and cost of levodopa-carbidopa intestinal gel (LCIG; 2000 mg levodopa equivalent dose [LED]) and levodopa-entacapone-carbidopa intestinal gel (LECIG; 1250 mg LED) pump treatments among patients with advanced Parkinson’s disease (PD) in Sweden. Methods: This was a non-interventional, longitudinal, retrospective, comparative study of patient
Abstract: Diffusion-weighted imaging (DWI) offers critical insights into tissue microstructure through the assessment of water molecule random displacements and plays a central role in the assessment of neoplastic and non-neoplastic diseases. To successfully implement and use DWI in clinical practice, guidelines for acquisition, interpretation of image contrast and of artefacts should be followed,
We consider analogues of Grigorchuk-Gupta-Sidki (GGS-)groups acting on trees of growing degree; the so-called growing GGS-groups. These groups are not just infinite and do not possess the congruence subgroup property, but many of them are branch and have the p-congruence subgroup property, for a prime p. Among them, we find groups with maximal subgroups only of finite index, and with infinitely ma
Robotic systems often face execution failures due to unexpected obstacles, sensor errors, or environmental changes. Traditional failure recovery methods rely on predefined strategies or human intervention, making them less adaptable. This paper presents a unified failure recovery framework that combines Vision-Language Models (VLMs), a reactive planner, and Behavior Trees (BTs) to enable real-time
Robotic systems often face execution failures due to unexpected obstacles, sensor errors, or environmental changes. Traditional failure recovery methods rely on predefined strategies or human intervention, making them less adaptable. This paper presents a unified failure recovery framework that combines Vision-Language Models (VLMs), a reactive planner, and Behavior Trees (BTs) to enable real-time
Background: Large lower eyelid defects resulting from tumour removal are frequently reconstructed using a tarsoconjunctival flap from the upper eyelid together with an overlying free skin graft, the so-called Hughes procedure. One disadvantage of this technique is that the tarsoconjunctival flap occludes the eye during the revascularization of the graft, which is particularly troublesome for patie
Background: Standardised language tests provide a reliable framework for assessing language deficits in individuals with aphasia, but have long been lacking for various languages, including Swedish. The purpose of this study was to examine the diagnostic accuracy and establish the norm-references of the Swedish version of the Comprehensive Aphasia Test (CAT-S). Methods: Consecutive patients with a
Renewable energy generation is a key to a sustainable future. Efforts are continuously being made to develop new technologies that improve energy harnessing in a more sustainable way. Additionally, existing systems are being improved with modern practices to increase their resilience and efficiency. However, the transition from conventional to digital energy systems brings significant cybersecurit
A vacuum-free, high-throughput synthesis of indium tin oxide (ITO) via Combustion Oxidation with Rapid Plasma Processing (CORP) utilizes a solution-based exothermic combustion reaction to generate the oxide with tunable control of either amorphous or crystalline phases. A subsequent open-air, forming gas plasma treatment is used to introduce oxygen vacancies and promote crystallization. The evolut
Theories of predictive processing postulate that the brain continuously generates predictions about future linguistic input. Many different linguistic elements have been found to function as predictive cues. One such element is classifiers, i.e., morphemes that classify noun referents according to some semantic property. However, very few studies have so far investigated the predictive function of
Semiconductor nanowires provide a versatile platform for fluorescence-based detection enabled by their high refractive index and waveguiding properties, which amplify excitation and emission from surface-bound fluorophores. Together with their large surface-to-volume ratio, these features enable enhanced and even single-molecule sensitivity.This thesis explores the use of gallium phosphide (GaP) a
Abstract: Background: Shiga toxin producing Escherichia coli (STEC) inducing hemolytic uremic syndrome (HUS) with multiple organ involvement is associated with significant morbidity and mortality. The treatment has mostly been focused on kidney, respiratory and cardiovascular supports and not against the bacteria that cause STEC-HUS. The use of bactericidal therapy has been shown to be antibiotic Background: Shiga toxin producing Escherichia coli (STEC) inducing hemolytic uremic syndrome (HUS) with multiple organ involvement is associated with significant morbidity and mortality. The treatment has mostly been focused on kidney, respiratory and cardiovascular supports and not against the bacteria that cause STEC-HUS. The use of bactericidal therapy has been shown to be antibiotic dependent
AbstractAim: This study sought to investigate the hypothesis that children dying outside a pediatric intensive care unit (PICU) after PICU discharge have a limitation of medical treatment (LOMT) order in place, limiting PICU readmission at the time of death.Methods: A cohort was identified of all children (n=3890; 5019 admissions) treated in a PICU in Sweden over 3 consecutive years between Januar
AbstractBackground: The pathophysiological mechanisms underlying single-stranded RNA (ssRNA) virus infections have been investigated extensively and at an accelerated pace in recent years, largely driven by the COVID-19 pandemic. Particular attention has been given to their potential roles in respiratory insufficiency, endothelial dysfunction, thrombosis, and inflammatory responses within the centBackground: The pathophysiological mechanisms underlying single-stranded RNA (ssRNA) virus infections have been investigated extensivelyand at an accelerated pace in recent years, largely driven by the COVID-19 pandemic. Particular attention has been given to their potential rolesin respiratory insufficiency, endothelial dysfunction, thrombosis, and inflammatory responses within the central nervou
AbstractBackground: The pathophysiological mechanisms underlying single-stranded RNA (ssRNA) virus infections have been investigated extensively and at an accelerated pace in recent years, largely driven by the COVID-19 pandemic. Particular attention has been given to their potential roles in respiratory insufficiency, endothelial dysfunction, thrombosis, and inflammatory responses within the centBackground: The pathophysiological mechanisms underlying single-stranded RNA (ssRNA) virus infections have been investigated extensivelyand at an accelerated pace in recent years, largely driven by the COVID-19 pandemic. Particular attention has been given to their potential rolesin respiratory insufficiency, endothelial dysfunction, thrombosis, and inflammatory responses within the central nervou
Online teaching for place-based experiential learning is a rather new practice that can be used to create a more engaging and comprehensive learning experience. Though, it is a challenge to deliver experiential learning and place-based education in online teaching. This paper reports how we tackled this challenge in the pedagogical development of an interdisciplinary course within the European Uni
We study large n expansions for the partition function of a Coulomb gas (Formula presented.) where Q is a radially symmetric confining potential on the complex plane C. The droplet is not assumed to be connected, but may consist of a number of disjoint annuli and possibly a central disk. The boundary condition is “soft edge”, i.e., Q is smooth in a C-neighbourhood of the droplet. We include the fo
This editorial introduces the Special Section on 'The Borders Within: Socio-Economic Rights and Non-discrimination in EU Law' whose purpose is to provide a comprehensive and non-fragmented understanding of socio-economic rights, the right to non-discrimination and their meaning for welfare in EU Member States. Under EU law the boundaries between national socio-economic policies and the enjoyment o
