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Sepsis remains a leading cause of mortality worldwide, driven by its clinical complexity and delayed recognition. Artificial intelligence (AI) offers promising solutions to improve sepsis care through earlier detection, risk stratification, and personalized treatment strategies. Key applications include AI-driven early warning systems, subphenotyping based on clinical and biological data, and deci
Industries across the globe are making arduous efforts to mitigate emissions and use greener ways of transporting goods and delivering services. The supply chain includes all the activities which involve producing, transporting, and distributing goods and services, contributing to a major portion of worldwide emissions. Road transport contributes majorly to emissions; therefore, focusing on net-ze
This chapter scrutinizes the European Union (EU)’s response to the crisis engulfing the European security order, within the broader context of global value contestation. Focused on the aftermath of Russia’s incursion into Ukraine, the chapter delineates the EU’s role evolution, transitioning from a security promoter to a pragmatic actor and responsible stakeholder in global governance. This shift
This study introduces an efficient workflow for functional data analysis in classification problems, utilizing advanced orthogonal spline bases. The methodology is based on the flexible Splinets package, featuring a novel spline representation designed for enhanced data efficiency. The focus here is to show that the novel features make the package a powerful and efficient tool for advanced functio
Background: Eosinophil-derived neurotoxin (EDN), an eosinophil granule protein, is a candidate biomarker in asthma to reflect eosinophilic activation. Objective: We sought to characterize the distribution of serum and nasal lavage fluid (NLF) EDN levels in different adult population subgroups and assess the determinants of high EDN levels. Methods: Serum and NLF samples were collected from a popul
Work in developmental pragmatics has shown that even though infants display refined mindreading abilities, older children struggle to understand language phenomena that rely on mindreading. This apparent mismatch might be partially explained by considering children's growing sensitivity to social categories such as their interlocutor's age. Based on recent work in philosophy of mind, we investigat
The subject of this research is the application of remote sensing and geographic information systems (GIS) in identifying, monitoring, and analyzing wildfires in the Sana River basin in Bosnia and Herzegovina in 2017. The research aims to determine the weather conditions that favor the occurrence of wildfires and their spatial impact on vegetation and to assess the degree of land degradation after
The Middle Danube (Carpathian) Basin is considered to encompass some of the thickest and most complete records of aeolian dust deposition in Europe, covering the last two glacial–interglacial cycles. In this study, independent, published chronologies based on absolute dating methods were compiled for 34 loess-palaeosol sequences and modelled using Bayesian statistics. Mass accumulation rates (MARs
Code review is a well-established and valued practice in the software engineering community contributing to both code quality and interpersonal benefits. However, there are challenges in both tools and processes that give rise to misalignments and frustrations. Recent research seeks to address this by automating code review entirely, but we believe that this risks losing the majority of the interp
Introduction: Impacts of climate change on human health receive increasing attention. However, the connections of climate change with well-being and mental health are still poorly understood.Objective: As part of the Horizon Europe project TRIGGER, we aim to deepen the understanding of the relationships between climate change and human mental health and well-being in Europe by focusing on environm
Based on previous work, we extend a primal-dual semi-smooth Newton method for minimizing a general L^1-L^2-TV functional over the space of functions of bounded variations by adaptivity in a finite element setting. For automatically generating an adaptive grid, we introduce indicators based on a-posteriori error estimates. Further, we discuss data interpolation methods on unstructured grids in the
Brandskum som innehåller per- och polyfluorerade ämnen (PFAS), på engelska Aqueuous Film Forming Foam (AFFF), är en av de främsta källorna till föroreningarna i Sverige. Grundvattenförorening orsakat av användandet av AFFF under brandövningar har undersökts i Kallinge, Blekinge. I området har grundvattnet använts som råvatten vilket resulterat i förhöjda halter av PFAS i dricksvattnet. Liknande faAqueuous Film Forming Foam (AFFF) containing Perfluoroalkyl and Polyfluoroalkyl Substances (PFAS) is one of the major sources of groundwater contamination in Sweden. Groundwater contamination caused by the use of AFFF in correlation to fire training events was investigated in Kallinge, Sweden. At the site groundwater was previously used as a drinking water source consequently affecting the inhabit
