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”Sjelf är jag visst ingen Latinare” : Tegnér och romersk litteratur
Bokkapitlet ingår i samlingsvolymen Den akademiske Tegnér och handlar om Esaias Tegnér förhållande till den romerska litteraturen.
Experimental study on photochemical oxidation of organic micro-pollutants in aqueous solutions
Institutional Complexity in World Politics
While the post-1945 period witnessed the rise of multilateralism and the creation of numerous international institutions to deal with cross-border issues, the 21st century is marked by their contestation and transformation. The United Nations, including its specialized agencies and several other bodies, has come under heavy criticism for the inability to effectively cope with global challenges. In
Immunological biomarkers in patients with radiographic axial spondyloarthritis, an exploratory longitudinal Swedish study
Objectives: There is a need for more specific biomarkers to diagnose and predict disease course in patients with axial spondyloarthritis (axSpA). This study aimed to study immunological plasma biomarkers at different time-points in radiographic (r)-axSpA patients overall and stratified by sex and compare these biomarker patterns in r-axSpA patients concerning disease phenotypes and disease activit
Treatment for atopic dermatitis with Janus kinase inhibitors : useful recommendations from expert opinions
Treating shock with norepinephrine administered in midline catheters in an intermediary care unit : A retrospective cohort study
Objectives A rising incidence of septic shock as well as recommendations for early vasopressor initiation has increased the number of patients eligible for norepinephrine (NE). Traditionally, NE has been administered through central lines, in intensive care units, due to the risk of extravasation in peripheral lines. The aim of the current study is to determine the rate of complications and patien
Preface
GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets
Volatility, which indicates the dispersion of returns, is a crucial measure of risk and is hence used extensively for pricing and discriminating between different financial investments. As a result, accurate volatility prediction receives extensive attention. The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model and its succeeding variants are well established models for stoc
Predicting troponin biomarker elevation from electrocardiograms using a deep neural network
Background Elevated troponin levels are a sensitive biomarker for cardiac injury. The quick and reliable prediction of troponin elevation for patients with chest pain from readily available ECGs may pose a valuable time-saving diagnostic tool during decision-making concerning this patient population. Methods and results The data used included 15 856 ECGs from patients presenting to the emergency r
Effectiveness of nutritional education intervention during pregnancy on birth outcomes in sub-Saharan Africa : a protocol for a systematic review and meta-analysis
Introduction Nutritional education intervention during pregnancy is the process of teaching pregnant women about the importance of a healthy diet and how to make healthy food choices. It is an important part of public health and vital to preventing adverse birth outcomes. Therefore, synthesising available evidence on the effect of nutritional education intervention on birth outcomes is essential f
Modeling and Control of Pharmacological Systems
Personalized patient care has gained increasing attention in recent years. Precise drug dosing is critical for patient safety and good clinical outcomes, especially in intensive care units, where patients often are in critical conditions. Such treatments can include stabilizing blood pressure and heart rate or maintaining safe anesthesia levels. However, the inter-patient variability in the drug r
Use of 4 Open-Ended Text Responses to Help Identify People at Risk of Gaming Disorder : Preregistered Development and Usability Study Using Natural Language Processing
Background: Words are a natural way to describe mental states in humans, while numerical values are a convenient and effective way to carry out quantitative psychological research. With the growing interest of researchers in gaming disorder, the number of screening tools is growing. However, they all require self-quantification of mental states. The rapid development of natural language processing
Chalcogen Impurities in Silicon
If an atom of the host lattice in silicon is replaced by an atom belonging to the fifth group in the periodic table, the potential binding the extra electron to the impurity atom can, in most cases, be approximated by a hydrogen-like potential. 1 This gives rise not only to an energy level in the band gap for the impurity ground state, but, in addition, also to a series of excited states. In silic
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Elevated Galectin-3 levels in the tumor microenvironment of ovarian cancer – implication of ROS mediated suppression of NK cell antitumor response via tumor-associated neutrophils
Introduction: Ovarian cancer is a lethal disease with low survival rates for women diagnosed in advanced stages. Current cancer immunotherapies are not efficient in ovarian cancer, and there is therefore a significant need for novel treatment options. The β-galactoside-binding lectin, Galectin-3, is involved in different immune processes and has been associated with poor outcome in various cancer
