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Introduction: Mental health problems and suicidal ideation in children and adolescents are increasing and with this comes an increase in the suffering of families and parents, as well. Having a supportive family and being able to speak openly about dark thoughts is preventive, but this requires parents who are both supported and psychologically well themselves throughout the child′s suicidal perio
Humanity has long expressed itself through the arts, yet the recent surge of artificial intelligence (AI) has sparked debate about its impact on human expression and connection. Situated at the nexus of concerns, hype and aspiration surrounding AI’s cultural implications, this article explores the evolving dynamics of artificial–human co-creativity in contemporary ‘science-fiction opera’, a sub-ge
As Machine Learning Operations (MLOps) adoption accelerates, systematic integration of explainability is imperative for reliability, transparency, and continuous quality assurance. This paper presents a scoping review examining how explainability is integrated across the MLOps lifecycle, encompassing data handling, model development, and deployment. Each phase is further analyzed through its subar
Over the past decade, circular strategies have been gaining momentum in the construction sector in an effort to reduce resource consumption, waste generation and environmental impacts. This transition requires not only changes in the construction process but also transformations in the constellation of actors involved. Previous research has mapped actors in circular construction and emphasised the
Introduction – Cardiovascular disease (CVD) prevention is a major public health priority. Text message interventions promoting a healthy lifestyle can contribute to improved blood pressure in patients with hypertension, however the effect on other metabolic outcomes and broader CVD risk factor control are less studied. We aimed to investigate the effect of health-promoting text messages on metabol
Uncertainty maps provide a quantitative and visual representation of the estimated confidence of Deep Learning (DL) models in contouring predictions and have been proposed to improve clinicians’ efficiency during manual review. However, uncertainty maps are not currently integrated into clinical workflows, and evidence on their actual benefit in clinical decision-making remains limited. This study
Converting conventional cropping systems from annual to perennial has been proposed as a strategy to enhance soil organic carbon (SOC) input and storage due to larger root systems and reduced soil disturbance. The mechanisms underlying SOC sequestration are fundamentally mediated by soil microorganisms, which play dual roles: they assimilate labile plant-derived C into microbial biomass that can s
Microbial communities play a fundamental role in lake nutrient cycling, yet their composition and functional diversity in response to environmental gradients remain poorly understood. Specifically, little is known about how the supply of dissolved macronutrients, including inorganic and bioavailable organic fractions, shape microbial community structure, and functional diversity in lakes that are
Glucose‑dependent insulinotropic polypeptide (GIP) and glucagon‑like peptide‑1 (GLP‑1) regulate metabolism and are increasingly targeted in therapies for type 2 diabetes and obesity. Although GLP‑1 receptor agonists confer cardiovascular benefits, the cardiovascular effects of GIP receptor (GIPR) stimulation remain controversial. This study aimed at defining the short-term cardiovascular consequen
Dynamic functional connectivity (dFC) captures temporal dynamics in functional magnetic resonance imaging (fMRI) to better characterize brain activity, supporting multiple downstream analyses. However, effective modeling strategies for extracting representative signals from dFC remain underexplored. We proposed a novel Subject-wise and Temporal Contrastive Transformer (STCT) framework that advance
