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Design problems in aerospace engineering often require numerous evaluations of expensive-to-evaluate high-fidelity models, resulting in prohibitive computational costs. One way to address the computational cost is through building surrogates, such as deep neural networks (DNNs). However, DNNs may only be an effective surrogate when sufficient evaluations of the high-fidelity model are required suc
Over the past decade, the healthcare industries have been facing the issue of resource scarcity due to socio-political wars, the COVID-19 pandemic, the luxury lifestyles of people, and the prevalence of single-use medical devices. The circular economy (CE) can be vital in accommodating the evolving patient and provider demands. The CE defies the conventional take-make-dispose process and advocates
Bokkapitlet ingår i samlingsvolymen Den akademiske Tegnér och handlar om Esaias Tegnér förhållande till den romerska litteraturen.
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
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
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
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
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
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
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
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
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
