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This forum discusses and celebrates the career and impact of Jens Bartelson in and on Nordic academic International Relations. Through engagement with his central works and concepts, the contributions highlight the intellectual impact and development of Bartelson’s work over three decades.
Carbon farming is increasingly promoted as a strategy to achieve net-zero climate targets. This paper examines voluntary carbon market programmes through a global inventory and discourse analysis to identify key actors and how they frame and implement carbon farming. Findings show that agri-chemical firms, agri-tech companies, and new carbon farming startups mainly target large-scale farmers in th
The Value of Information from Bayesian decision theory can be used to drive decisions within the development of new technologies aiding research screening, technology characteristics, and employment optimization. The selection of a specific application of technology leads to the definition of the decision scenario within the Value of Information framework. Technological performance characteristics
Perfluoroalkyl and polyfluoroalkyl substances (PFASs) are becoming an increasingly global concern. PFASs are highly fluorinated organic chemicals that represent a serious risk for environmental and human health. Due to their toxicological impact, PFASs are now included in several emission regulations. Even if the global level of PFASs use is decreasing much of present concentrations in the environ
Pregnancy and lactation require large amounts of calcium potentially depleting the young adult bone. This study investigated BMD and fluctuations of BMD resulting from parity and lactation in the PEAK-25 cohort, a prospective observational study of women all aged 25 at inclusion and 35 at follow-up. The analyses use women who were nulliparous at baseline and parous (n = 573) or nulliparous (n = 17
Agentic AI — the new paradigm for creating autonomous systems capable of perceiving, reasoning, learning, and acting towards goals using large language models (LLMs) with minimal human oversight — offers transformative potential but also poses systemic risks that the EU AI Act only partially addresses. These agents can evolve unpredictably, interact with other agents, and operate beyond meaningful
Basalcellscancer (BCC) är den vanligaste formen av hudcancer som enligt Socialstyrelsen drabbar omkring 50 000 svenskar varje år. Om en patient misstänks ha basalcellscancer måste man ta bort en bit av huden för att undersöka den i mikroskop. Om det visar sig efter undersökningen att det finns cancerceller kvar, måste man operera igen, vilket är obehagligt för patienten, kostsamt och förlänger vänBasal cell carcinoma (BCC) is the most common form of skin cancer with the current diagnostic procedures relying on surgical excisions and histopathological analyses. Incomplete removal of the tumor necessitates additional surgery, which is both costly and time-consuming, and causes unnecessary suffering for the patient. To address this, non-invasive diagnostic techniques capable of determining th
BackgroundEarly detection of cerebral palsy (CP) is essential to initiate timely intervention andimprove long-term outcomes for infants at risk. The General MovementsAssessment (GMA) is a well-established tool for early identification of CP, yet itsimplementation in routine clinical practice faces challenges related to access andscalability.AimThis thesis explores the use of GMA as a screening too
The principle of patient self-determination is central to contemporary medical ethics. However, many uncertainties remain regarding its implementation in healthcare. This thesis explores, from an ethical perspective, situations in nephrology care that reveal barriers to patient self-determination or where the requirements of the principle are unclear. The thesis includes three published articles a
Background and aim: Children with type 1 diabetes (T1D) represent a heterogeneous group of children with varying genetic backgrounds and different numbers of autoantibodies at diagnosis. The latter may reflect an interaction between genetic susceptibility and environmental triggers that contribute to the onset of the disease. However, the specific triggers remain unknown. The overall aim of this t
AimsThe epidemiology of proximal humerus fractures (PHFs) has been described in terms of incidence, fracture complexity, and general time trends, but current literature on time trends in PHF complexity is limited. This study aims to explore possible time trends in PHF complexity and report the distribution of different types of PHF from January 1944 to December 2020.MethodsThe city of Malmö, Swede
High-risk neuroblastoma (NB) is a rare, solid childhood cancer with poor prognosis due to treatment resistance and metastasis. Improved patient outcome is dependent on the understanding of the resistance mechanisms and subsequent development of novel treatment options.In Paper I, we established a clinically relevant in vivo treatment protocol using current standard-of-care chemotherapy (COJEC). We
BACKGROUND: Cerebrospinal fluid (CSF) clearance via the olfactory pathway is well-documented in animal models. However, results from in vivo human studies appear inconsistent. Studies using intrathecal (IT) Gadolinium-based contrast agents (GBCA) enhanced MRI showed minimal tracer pass-through from intracranial to extracranial olfactory regions such as the nasal mucosa. Conversely, human imaging s
BackgroundEarly identification of acute kidney injury (AKI) in the intensive care unit (ICU) remains challenging. We aimed to identify key predictors of new-onset AKI within 48 h after ICU admission and renal replacement therapy (RRT) need within 7 days, using explainable artificial intelligence (XAI) with eXtreme Gradient Boosting (XGBoost). We also assessed whether XGBoost improved predictive peBACKGROUND: Early identification of acute kidney injury (AKI) in the intensive care unit (ICU) remains challenging. We aimed to identify key predictors of new-onset AKI within 48 h after ICU admission and renal replacement therapy (RRT) need within 7 days, using explainable artificial intelligence (XAI) with eXtreme Gradient Boosting (XGBoost). We also assessed whether XGBoost improved predictive
