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This work presents a literature study over how additive manufacturing can be used to improve the performance of windings for traction machines when it comes to materials, loss minimization and thermal management, especially for concentrated windings. It continues to present the additive manufacturing methods most suitable for additively manufacturing windings. The lessons from manufacturing coils
It is increasingly important to rapidly receive information on the antimicrobial susceptibility of bacteria due to the rise in antimicrobial resistance worldwide. However, traditional phenotypic methods are time-consuming. Thus, the objective of this study was to develop a rapid assay that can detect antibiotic-resistant bacterial isolates phenotypically in less than 2 h. The microplate assay used
We are interested in rationalizing the phenomenon of like-charge attraction between charged bodies, such as a pair of colloids, in the strong coupling regime. The two colloids are modelled as uniformly charged parallel plates, neutralized by mobile counterions. In an earlier work [Palaia et al., J. Phys. Chem. B 126, 3143 (2022)1520-610610.1021/acs.jpcb.2c00028], we developed an effective-field th
In this paper we study the numerical quadrature of a stochastic integral, where the temporal regularity of the integrand is measured in the fractional Sobolev-Slobodeckij norm in Wσ,p(0,T), σ ∈(0,2), p∈[2,∞). We introduce two quadrature rules: The first is best suited for the parameter range σ ∈(0,1) and consists of a Riemann-Maruyama approximation on a randomly shifted grid. The second quadrature
Differential equations are an important building block for modeling processes in physics, biology, and social sciences. Usually, their exact solution is not known explicitly though. Therefore, numerical schemes to approximate the solution are of great importance. In this thesis, we consider the temporal approximation of nonlinear, nonautonomous evolution equations on a finite time horizon. We pres
Plasma proteomics offers high potential for biomarker discovery, as plasma is collected through a minimally invasive procedure and constitutes the most complex human-derived proteome. However, the wide dynamic range poses a significant challenge. Here, we propose a semi-automated method based on the use of multiple single chain variable fragment antibodies, each enriching for peptides found in up
Background: Testing is imperative to validate the functionalities and safety of autonomous driving systems. Simulated scenario-based testing is commonly adopted for autonomous driving systems, which aims to construct various driving scenarios and validate the autonomous driving systems in simulation. Nevertheless, identifying relevant test scenarios, especially critical ones that expose hazards or
Post-extrusion flow dynamics of soft matter are governed by their elasto-viscoplastic (EVP) rheological properties, which influence filament stability, die swelling, and shape fidelity in extrusion-based 3D printing. Achieving precision and control in printed structures requires optimizing yield stress, viscoelasticity, and extrusion pressure to minimize excessive die swelling and material spreadi
The Dirichlet–Neumann alternating method is a common domain decomposition method for nonoverlapping domain decompositions without cross-points, and the method has been studied extensively for linear elliptic equations. However, for nonlinear elliptic equations, there are only convergence results for some specific cases in one spatial dimension. The aim of this manuscript is therefore to prove that
Digitalization of the downstream process for monoclonal antibodies can be used as a tool towards more efficient and sustainable processing. One part of digitalization are digital twins, which can help provide insights into a process and be used for process optimization, reducing production costs and accelerating drug discovery. However, creating a useful digital twin is often difficult and time-co
The solution of coupled multi-field problems by means of commercially available finite element codes such as Abaqus constitutes an important part in the study of industrial processes. Against this background, a comprehensive implementation framework for a gradient-enhanced continuum damage formulation in a thermo-mechanically coupled finite deformation setting is proposed in this contribution. To
Drawing on Markus and Nurius’s (1986) theory of possible selves and Higgins’s (1987) theory of self-discrepancies, Dörnyei (2005, 2009) developed the L2 self-guide, a construct explaining the generation of motivation for language learning. Because Dörnyei focused on convergences in the source theories, L2MSS researchers have come to regard possible selves (Markus & Nurius, 1986) and self-guide
Bus Rapid Transit (BRT) has predominantly been implemented in major urban areas worldwide, but interest is growing in its application within small and medium-sized cities. In these contexts, enhanced bus-based public transport is often essential for promoting more sustainable transport systems. However, limited research has explored how BRT can be adapted to smaller cities, particularly in Europe,
Physical exercise can play an important role both in primary and secondary cardiovascular disease prevention by virtue of its multisystem effects. These beneficial adaptations at the whole-body level include improvements in mitochondrial health, vascular function, and autonomic balance, together with attenuation of inflammation and the release of ‘exerkines’ with pleiotropic effects. Thus, several
Objective: To evaluate (1) the frequency of aquaporin-4 antibody (AQP4-ab)-seropositive cases among patients treated with natalizumab (NAT) and previously diagnosed with MS (MSNAT) in a nationwide cohort, (2) the clinical course of NAT-treated AQP4-ab-seropositive neuromyelitis optica spectrum disorder (NMOSD) patients (NMONAT), (3) AQP4-ab titers in NMONAT and AQP4-ab-seropositive NMOSD treated w
The use of virtual learning environments is increasing, and it raises the question of how the environments are designed to benefit learning outcomes. The Cognitive Load Theory is a well-established framework for instructional design of learning environments, and introduces different design principles, based on a working memory model. This paper describes how these principles can be used in the des
Pretrained language models are integral part of AI applications, but their high computational cost for training limits accessibility. Initiatives such as Bloom and StarCoder aim to democratize access to pretrained models for collaborative community development. Despite these efforts, such models encounter challenges such as limited multilingual capabilities, risks of catastrophic forgetting during
This book describes the basic techniques required in learning structural biology. Apart from the classical and standard approaches like X-ray crystallography and SAXS (small angle X-ray scattering), it has quite an extensive chapter on the most recent approach; namely, cryo Electron Microscopy. The material is partly pedagogical, allowing readers to learn the subject, including some advanced topic
