Filtyp
Background: Metastatic disease is the main cause of breast cancer (BC)-related deaths, but prediction of metastases remains challenging especially in the large and diverse group with estrogen receptor (ER)-positive, human epidermal growth factor receptor 2 (HER2)-negative tumors. Molecular tumor features beyond currently used markers could provide important information for stratifying metastatic r
This study examined whether immersive virtual reality (VR) supports second-language vocabulary learning in school-aged children compared to passive computer-based training. Seventy-three Swedish middle-school students learned novel words by assembling objects in VR and by viewing object assembly on a computer screen in a crossover design. Word recall was tested after each condition, and individual
Conventional capacity expansion planning (CEP) relies on a perfect-foresight planning horizon and linear investment optimisation, which fail to capture the non-linear dynamics of electricity markets. In the Nordics, hydro-related weather variability plays a critical role in maintaining the robustness of the power system. This paper addresses the intra-year perfect-foresight limitation in current C
Background: The effects of peri-operative training interventions in connection with oesophageal surgery have not been thoroughly investigated. The aim of this randomised, controlled, single-blind study was to evaluate a peri-operative physical training programme in patients undergoing oesophageal cancer resection surgery due to cancer of the oesophagus or the gastro-oesophageal junction. Methods:
Fluid biomarkers are revolutionizing the diagnosis and management of neurodegenerative diseases by enabling earlier diagnosis and disease monitoring. In particular, blood-based biomarkers have emerged as a minimally invasive and scalable alternative to cerebrospinal fluid analysis. Recent advances in blood-based tau biomarkers have shown high diagnostic accuracy for Alzheimer’s disease (AD). Other
The Ordovician Period includes two major macroevolutionary events: the Great Ordovician Biodiversification Event (GOBE) and the Late Ordovician Mass Extinction (LOME), alongside a fundamental climate transition from a greenhouse to an icehouse state. Although both biological events occurred during relatively short-term global cooling conditions, their starkly contrasting biotic responses remain po
In recent years, weather-related extreme events have shown the limits of technical approaches to urban water challenges and highlighted the urgent need to rethink the relationship between cities and water and to see water as a partner in shaping transformative, climate-safe and just urban futures. However, existing scientific studies depicting future trajectories of urban water management have str
An assessment of the global progress in climate change adaptation is urgently needed. Despite a rising awareness that adaptation should involve diverse societal actors and a shared sense of responsibility, little is known about the types of actors, such as state and non-state, and their roles in different types of adaptation responses as well as in different regions. Based on a large n-structured
Nature-based solutions (NBS) have emerged as an important concept to build climate resilience in cities whilst providing a wide range of ecological, economic, and social co-benefits. With the ambition of increasing NBS uptake, diverse actors have been developing means to demonstrate and prove these benefits. However, the multifunctionality, the different types of benefits provided, and the context
Platinum electrodes are of key importance in electrocatalysis due to their high activity for the hydrogen evolution and oxygen reduction reactions. Industrially-relevant Pt electrodes typically exhibit significant surface heterogeneity ( i.e. , poly-/nanocrystallinity), complicating the establishment of clear relationships between structure and electrochemical properties. To unravel the influence
Given the contested nature of urban futures, we approach the term “transition” as a floating signifier to investigate imaginaries of transformation. Focusing on urban mobility transitions, we demonstrate the plurality of associations with a post-transition future. This perspective allows the identification of underlying tensions and incommensurabilities between competing visions of the future. Q m
Objective To determine if familial diabetes burden across multiple kinship levels is associated with hospital-diagnosed COVID-19 in a population-based cohort. Methods We analyzed data from 15,516 participants in the Malmö Diet and Cancer Study (MDCS), a prospective, population-based cohort in southern Sweden. Familial burdens among first-degree relatives (parents, siblings, children) of diabetes,
Post-translational modifications (PTMs) such as nitration of Tyr (Y) residues and di-tyrosine (DT) formation are known to impact the aggregation behavior of α-synuclein (α-syn), a protein closely linked to Parkinson's disease. Using tetranitromethane (TNM) as a model nitrating agent, we systematically investigated the chemical modifications of α-syn and their consequences for aggregation. Mass spe
Inom EU pågår arbete för att skydda viktiga naturområden bl.a. genom s.k. LIFE projekt (se t.ex. Eldridge m.fl. 2007). Därmed kan EU bidra med ekonomiskt stöd till biotop-vård, t.ex. upprätthållande av betesdriften på strandängarna, vilket bl.a. skedde genom projektet LIFE-BaltCoast (2007 – 2011) (http://www.life-balt-coast.eu/). Natura 2000-om-rådena skall samtidigt göras tillgängliga för turism.
Accurate triage of ovarian masses is facilitated in many centers by the guideline-endorsed, extensively validated IOTA-ADNEX risk model, yet the model still relies on manual measurements of key tumor features. We developed ADNEX-AI, a multi-task deep-learning system that automatically segments four ADNEX ultrasound predictors – lesion, locules, solid tissue, papillary projections – and outputs the
The Cox Proportional Hazards (CPH) model has long been the preferred survival model for its explainability. However, to increase its predictive power beyond its linear log-risk, it was extended to utilize deep neural networks, sacrificing its explainability. In this work, we explore the potential of self-explaining neural networks (SENN) for survival analysis. We propose a new locally explainable
We have previously found using questionnaire/interview data on COVID-19 outcomes, that most subjects with severe alpha-1-antitrypsin deficiency (AATD) exhibit mild COVID-19 infection and those who additionally have COPD are at increased risk of severe COVID-19. We used objective information on COVID-19 outcomes in severe AATD (PiZZ) from the Swedish population and compared the risk of severe COVID
PURPOSE: Provision of adequate support is much needed to secure equal educational opportunities for students with developmental language disorder (DLD). Important perspectives on support provision and its impact on academic progress are held by school professionals, caregivers, and students with DLD. This study sought to further the current knowledge on the perceived relation between educational s
