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This thesis investigates why tariffs, once the backbone of U.S. federal revenue, cannot replace income taxes as the primary revenue source in the modern American economy. Using a systematic literature review and secondary data analysis approach, the study contrasts the structural conditions of the pre-1913 tariff regime, characterized by a goods-dominated economy and minimal federal spending, with
This thesis investigates how the European Union, through the European Personnel Selection Office (EPSO), constructs and communicates its employer brand, with a particular focus on how this may influence the underrepresentation of Swedish nationals in EU institutions. The study draws on theories of employer branding and Hofstede’s cultural dimensions to explore how centrally produced communication
In this work we investigate the development of functionally graded cemented carbides, featuring macro gradients on the millimeter scale, where Fe, or Ni is the binder phase. Two composites, WC-Ni and WC-Fe with 20 % binder by volume were produced by addition of TiC on the surface of the samples before sintering at 1475 °C for 1 h. The sintered samples were analyzed using electron microscopy and mi
An adaptive controller is proposed and analyzed for the class of infinite-horizon optimal control problems in positive linear systems presented in (Ohlin et al., 2024b). This controller is derived from the solution of a “data-driven algebraic equation” constructed using the model-free Bellman equation from Q-learning. The equation is driven by data correlation matrices that do not scale with the n
This paper presents a novel adaptive autotuning strategy for controlling the pH in microalgae raceway reactors, a critical variable in optimizing biomass productivity under dynamic environmental conditions. The method expands on existing relay-based autotuning principles, tailored to suit the seasonally variable dynamics of microalgae cultivation systems influenced by CO2 injection and photosynthe
Introduction: The rate of vaginal hysterectomies is declining globally. We investigated surgical techniques, outcomes, and costs in a large national cohort of benign hysterectomies with prerequisites for vaginal surgery. Material and Methods: A retrospective register-based cohort study with benign hysterectomies in the Swedish GynOp registry 2014–2023 (n = 17 804). Inclusion criteria were non-prol
INTRODUCTION: Hospital-acquired bloodstream infections (HA-BSIs) are severe and require antibiotic therapy. In non-complicated BSIs, shortened therapy reduces side effects without compromising efficacy. The impact of shortened antibiotic therapy in HA-BSI critically ill patients without indication of prolonged therapy requires further evaluation. METHODS: Using the international prospective EUROBA
Our viewpoint highlights the challenges faced by women in the Induced Polarization (IP) community (and elsewhere), particularly the persistent gender imbalance in scientific workshops. This underrepresentation in leadership roles, presentations and discussions reflects broader systemic biases in academia. By sharing the experience of the 7th IP workshop, where the organizing team made deliberate eff
Mental well-being and excessive alcohol consumption each represent a significant public health concern, and evidence suggests an association between them. Furthermore, drinking motivations associated with harmful drinking have been studied, but not systematically in the UK population. A representative sample of 6174 UK adults aged 18⁻75 were surveyed online. Low risk drinkers were found to have hi
Finding local features that are repeatable across multiple views is a cornerstone of sparse 3D reconstruction. The classical image matching paradigm detects keypoints per-image once and for all, which can yield poorly-localized features and propagate large errors to the final geometry. In this article, we refine two key steps of structure-from-motion by a direct alignment of low-level image inform
Vitrified bonded aluminum oxide grinding wheels are widespread in use for many applications in grinding, such as internal plunge grinding. However, there are challenges when it comes to the measurement, analysis and (geometric) modeling of their topography, which is crucial to understand and model the influence of the topography on the process behavior. Methodological advances allow for the detail
In this chapter, we explore mathematical tools for assessing the stability, convergence, and boundedness of trajectories in generally nonlinear dynamical systems. We delve into the seminal theorems introduced by A. Lyapunov which are primarily concerned with the stability of equilibrium points. The chapter progresses to discuss the extension of Lyapunov's Theory, due to LaSalle, aimed at assessing
We study active human visuo-locomotive experience in everyday navigation from the viewpoints of environmental familiarity, embodied reorientation, and (sensorimotor) spatial update. Following a naturalistic, in situ, embodied multimodal behaviour analysis method, we conclude that familiar users rely on environmental cues as a navigation-aid and exhibit proactive decision-making, whereas unfamiliar
The Artificial Intelligence (AI) Act is a relatively new regulation set out in the European Union (EU). It lays out various requirements for AI systems that are placed on the market in the EU. This paper provides a critical and differentiated view of its requirements from a software engineering perspective. A detailed analysis of the legal document shows what requirements are set out for different
This paper presents a decentralized strategy for a team of N robotic manipulators cooperatively grasping and manipulating an object. A two-step strategy has been designed. In the first step, each robot runs N − 1 consensus-based estimators to estimates the wrenches applied to the object by its teammates even when direct all-to-all communication is unavailable. In the second step, each manipulator
Resource provisioning for applications hosted in the cloud is a difficult task due to inherent performance variability in the infrastructure. Control theory has proven to be an efficient tool to increase the predictability of cloud applications. However, a prerequisite for a successful control design is an adequate model of the involved dynamics. In this paper we focus on modeling of controlled se
Realistic representation of atmospheric aerosol size distribution dynamics in large-scale climate models is important for developing accurate descriptions of aerosol-cloud interactions. Despite the dynamic nature of the distributions, which have large seasonal and diurnal changes, model evaluations often focus on the annual median size distribution. Using more comprehensive monthly and diurnal mod
The Hunga Tonga eruption on 15 January 2022 (HT-22) induced vigorous volcano–sea interaction. Here we study the stratospheric aerosol and water vapor resulting from the eruption using satellite-based instruments: the CALIOP lidar and the Microwave Limb Sounder (MLS). We investigate the stratospheric relative humidity following the record-breaking water vapor injections from the HT-22 eruption and
Structure-from-Motion (SfM) has become a ubiquitous tool for camera calibration and scene reconstruction with many downstream applications in computer vision and beyond. While the state-of-the-art SfM pipelines have reached a high level of maturity in well-textured and well-configured scenes over the last decades, they still fall short of robustly solving the SfM problem in challenging scenarios.
