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The wine industry is increasingly recognized as especially vulnerable to climate change due to the climate sensitivity of both winegrape yields and quality, making it an important model system for the agricultural impacts of global changes. However, agricultural production is strongly influenced by the management decisions of growers, including their practices to modify the microclimate experience
Small Modular Reactors (SMRs) are rapidly emerging as a contributing solution for future fossil-free energy systems globally including Sweden. While SMRs are expected to offer greater flexibility, lower costs, and reduced risks compared to traditional large-scale nuclear reactors, they still present radiological risks. The introduction of SMRs may require new approaches to emergency preparedness (
Reinforcement Learning (RL) has long been a powerful solution to various problems in communication networks. However, traditional RL models still face several limitations. Not only do they rely on large numbers of interactions with the environment, but they are also limited in terms of modeling long-term relationships and tackling partial observability. In recent years, the Transformer model has d
BACKGROUND AND PURPOSE: The experience of having a child monitored for vital signs in relation to surgery for congenital heart disease can be highly stressful for parents. The opportunity to be involved in their child's care is central to parents' well-being and to their overall experience of the care provided. The purpose of this study was to explore how parents of children with congenital heart
Growing evidence shows that air pollution exposure plays a critical role in the development and progression of cardiovascular disease. Pollutants such as airborne particles smaller than 2.5 μm (PM2.5) are linked to systemic inflammation, oxidative stress and vascular dysfunction, thereby increasing the risk of hypertension, atherosclerosis, stroke and myocardial infarction. Understanding the patho
PURPOSE: To describe healthcare professionals lived experiences of being nudged to use transcutaneous electrical nerve stimulation (TENS) in post-anesthesia care.DESIGN: Descriptive phenomenological study.METHODS: A 12-week transparent, passive and asynchronous nudge strategy was implemented in a 15-bed surgical recovery ward where healthcare professionals were exposed to rotating posters to encou
BACKGROUND: Previous cross-sectional studies report an association between psychological distress and severity of pain and symptoms in patients with longstanding non-arthritic hip and groin pain (LHGP). However, there is a lack of longitudinal studies exploring changes in psychological distress over time, and whether these changes relate to changes in pain and symptoms in LGHP patients. This study
Fiscal and monetary policy in the euro area stand at a crossroads. The rules- based framework established in the 1990s—the Maastricht Treaty and the Sta- bility and Growth Pact—has failed to prevent the steady accumulation of public debt, which now stands closer to 90% of GDP than to the Treaty’s 60% ceiling. Successive crises have pushed member states beyond the fiscal limits, while the European
Achieving a successful transition depends on how structural conditions, strategic choices, and performance outcomes interact within firms. This study examines the causal relationships among sustainability drivers in the construction sector, focusing on Turkey and Sweden as contrasting institutional contexts. Using a Most Different System Design, the analysis applies the fuzzy DEMATEL method to eva
Artificial neural networks (ANNs) are employed to predict the energy levels of quantum systems, including the hydrogen atom, the harmonic oscillator, and the particle in a box, using various activation functions. The results demonstrate that the choice of activation function significantly influences prediction accuracy. This data-driven framework provides a powerful alternative to explicitly solvi
In a high-energy physics data analysis, the term “fake” backgrounds refers to events that would formally not satisfy the (signal) process selection criteria, but are accepted nonetheless due to mis-reconstructed particles. This can occur, e.g., when leptons from secondary decays are incorrectly identified as originating from the hard-scatter interaction point (known as non-prompt leptons), or when
How do political blocs form, consolidate, and dissolve? And can we trace these dynamics through the language of parliamentary debate? We address these questions by analyzing speeches in the Swedish Riksdag, using supervised machine learning to examine changes in rhetorical alignment among parties. Adapting classification methods developed for two-party systems to a multiparty context, we assess rh
In this work, we investigate carrier recombination dynamics and defect-related emission behavior in high-indium content InGaN platelets containing a single quantum well (QW) and a transition layer (TL) using temperature-dependent monochromatic cathodoluminescence (CL) imaging and time-resolved CL (TRCL). At low temperature, monochromatic CL imaging reveals expanded apparent emitting area of both l
Residues of pesticides require efficient and selective sample preparation, due to their existence in trace levels and the complex nature of food matrices. The objective of this study was to use a multivariate experimental design for the determination of multi-residue pesticides in the green coffee beans utilizing supercritical carbon dioxide (sc-CO2) as extraction solvent. In this study, an extrac
Visual dysfunction is increasingly recognized as an important feature of Alzheimer’s disease, and substantial retinal changes have been documented across multiple studies. Yet the molecular changes underlying retinal neurodegeneration and which retinal protein signatures best track cerebral pathology remain incompletely defined. Here, we performed comprehensive mass spectrometry-based proteomics o
Accurate rainfall data is essential for understanding the water cycle and monitoring climate change. However, precipitation estimates from satellite-only retrievals such as the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) Early Run (IMERG-E), often contain large errors. These errors limit their usefulness for scientific studies and practical applications. To a
