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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
Projecting El Niño-Southern Oscillation responses to future climate change are hindered by limited paleoclimate records spanning past abrupt climate transitions. This study combines multi-proxy records from the Northwest Borneo Trough over the past 30 kyr with transient climate simulations, reconstructing tropical western Pacific hydroclimate during Heinrich events and Bølling–Allerød warming. Res
Highly oxygenated organic molecules (HOM) play a crucial role in the formation and growth of atmospheric particles, thereby influencing air quality and climate. A comprehensive understanding of HOM formation, particularly an accurate quantification of their yields, is essential to constrain the climate and health impacts of aerosols. Previous studies often reported constant HOM yields as averages,
A search is conducted for a new scalar boson S, with a mass distinct from that of the Higgs boson, decaying promptly into four leptons (ℓ=e, μ) via an intermediate state containing two on-shell, promptly decaying new spin-1 bosons Zd: S→ZdZd→4ℓ, where the Zd boson has a mass between 15 and 300 GeV, and the S boson has a mass between either 30 and 115 GeV or 130 and 800 GeV. The search uses proton–
This paper presents findings from a transdisciplinary study exploring conditions for Inclusive Science Education (ISE) for children aged 0–16 from communities in vulnerability risk situation. A two-step literature review was conducted to identify inclusive teaching and learning interventions. The first phase applied a Scoping Review, followed by an Integrative Literature Review focusing on communi
Background: Cardiac arrest (CA) is a major cause of mortality and morbidity. Accurate prediction of neurological outcome and survival remains challenging. In this context, our study aimed to explore novel molecular biomarkers that could provide additional insights into the pathophysiology of brain injury after CA and potentially distinguish patients with no brain injury (CPC 1) from those with any
A search for the production of three massive vector bosons, VVZ(V=W,Z), in proton–proton collisions at s=13 TeV is performed using data with an integrated luminosity of 140 fb−1 recorded by the ATLAS detector at the Large Hadron Collider. Events produced in the leptonic final states WWZ→ℓνℓνℓℓ (ℓ=e,μ), WZZ→ℓνℓℓℓℓ, ZZZ→ℓℓℓℓℓℓ, and the semileptonic final states WWZ→qqℓνℓℓ and WZZ→ℓνqqℓℓ, are analyse
Certification process of an aircraft engine requires the engine to be able to relight under high-altitude conditions. This capability is strongly affected by the characteristics of the spray injected into the combustion chamber, by means of an aeronautical injection system. The understanding of the atomization process is a key factor in order to forecast the engine's relight capability. Among the
In this study, Monte Carlo simulation of photon transport through sprays has been achieved using the online “Multi-Scattering” software. Such simulations were focused on evaluating the accuracy of light transmission measurement of four distinct methods using diffuse light illumination without filtering (1),collimated homogeneous laser beam without filtering (2), structured collimated laser beam wi
Accumulating evidence suggests that a compromised intestinal epithelial barrier (IEB) contributes to the progression of metabolic dysfunction-associated steatotic liver disease (MASLD); however, the exact mechanisms remain unclear. Here we reveal that intestinal mucin 1 (MUC1) levels and glycosylation are decreased in both humans and male mice with MASLD. Enterocyte-specific Muc1 knockout aggravat
Cancer detection is challenging, especially in patients with diffuse symptoms that overlap with non-malignant conditions. Here we show that plasma protein profiling can identify cancer among patients with non-specific symptoms. Using proximity extension assay-based proteomics of 1463 plasma proteins from 456 patients presenting with non-specific symptoms sampled prior to cancer diagnostic work-up
Capturing fast transient spray phenomena, such as droplet breakup and secondary atomization, requires both high temporal and spatial resolution over extended durations, which is difficult to achieve with existing imaging methods. Burst imaging on one hand offers ultra-high frame rates but for short windows in time, while conventional high-speed cameras extend duration but are currently unable to t
Neural simulation-based inference (NSBI) is a powerful class of machine-learning-based methods for statistical inference that naturally handles high-dimensional parameter estimation without the need to bin data into low-dimensional summary histograms. Such methods are promising for a range of measurements, including at the Large Hadron Collider, where no single observable may be optimal to scan ov
