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Motivated by a need to characterize transient behaviors in large network systems in terms of relevant signal norms and worst-case input scenarios, we propose a novel approach based on existing theory for matrix pseudospectra. We extend pseudospectral theorems, pertaining to matrix exponentials, to an input-output setting, where matrix exponentials are pre- and post-multiplied by input and output m
This paper evaluates an electric generator manufactured of cobalt-iron laminations used for a wave energy application. The properties of the two cobalt-iron designs are compared with a reference machine, which employs conventional electric steel laminations. Operation trajectories and machine losses, as well as the annual energy production and the losses are obtained through finite element analysi
The COVID-19 accelerated shift towards hybrid workspaces places major pressure onworkplace communities and culture. This study explores the emergence of a collaborative academic workspace, which is still in the real estate development phase. The aim is to establish preconditions for community building, and the relationship between the community and the physical space. The study employs a qualitati
Decarbonizing society will require a shift toward renewable electricity production. However, the temporal configuration of renewables requires that demand adapt accordingly. Introducing intermittent electricity production will thus require end users to be more flexible in their use of electricity. Flexibility capital has been promoted as a concept for analyzing material preconditions in order to u
Opportunities and barriers for occupational engagement among residents in supported housing. Background: Research shows that people with psychiatric disabilities view supported housing (SH) as a possibility for social contact, but also as entailing a risk of deprived self-determination. There is, however, little research on the target group’s engagement in everyday occupations. Aim: To explore SH
The framework of Dynamical Movement Primitives (DMPs) has become a popular method for trajectory generation in robotics. Most robotic systems are subject to saturation and/or kinematic constraints on motion variables, but DMPs do not inherently encode constraints and this may lead to poor tracking performance. Temporal coupling (online temporal scaling) of DMPs represents a possible way for handli
In this paper, we present a system for extracting tabular information from loosely structured handwritten documents. The system consists of three parts, (i) a u-net like CNN-based method for text detection and segmentation, (ii) a new attention-based method for simultaneous text recognition and classification of word-parts, and (iii) a method for matching the word parts into a tabular structure fo
In this paper we address absolute camera pose estimation. An efficient (and standard) way to solve this problem, is to use sparse keypoint correspondences. In many cases point features are not available, or are unstable over time and viewing conditions. We propose a framework based on silhouettes of quadric surfaces, with special emphasis on cylinders. We provide mathematical analysis of the probl
Social media are increasingly important tools in diplomacy. Diplomats are expected to use social media platforms such as Twitter, Facebook and Instagram to communicate with each other and with both domestic and international publics. This form of communication involves displaying positive emotions to generate attention in a competitive information environment. Emotions are essential to managing pe
As structural components of the glycocalyx, heparan sulfate proteoglycans (HSPGs) are involved in multiple pathophysiological processes at the apex of cell signaling cascades, and as endocytosis receptors for particle structures, such as lipoproteins, extracellular vesicles, and enveloped viruses, including SARS-CoV-2. Given their diversity and complex biogenesis regulation, HSPGs remain understud
In this study, two methods for wastewater treatment plant (WWTP) dimensioning were compared: (1) a traditional guideline-based approach, and (2) a mechanistic model-based approach. The design outputs depended on uncertainties in correlated influent concentrations, which emphasises the importance of uncertainty analysis. The results showed that model-based design could simplify and reduce the time
While climate change adaptation research has increasingly focused on aspects of culture, a systematic treatment of the role of legal culture in how communities respond to climate risk has yet to be produced. This is despite the fact that law and legal authority are implicated in most, if not all, of the ways in which actors seek to reduce the risks posed to communities by climate change. Using a s
Drawing on the review of quality assurance policies in higher education already set out of the introduction, this chapter explores the impact of national quality assurance processes adopted to aid consistency in the judgement of academic standards in UK higher education. Specifically, it will examine the ways in which the processes adopted to support marking and to moderate marks, known collective
In 2005, Pachon et al.1 proposed cardiac vagal denervation to treat neurally mediated syncope. Since then, a metanalysis of observational studies2 and a recent randomized controlled trial (RCT)3 have provided some evidence that cardioneuroablation (CNA) is able to prevent syncope recurrence at least during the first 2 years following the procedure in patients affected by reflex syncope. In brief,
Acoustically excited microstructures have demonstrated significant potential for small-scale biomedical applications by overcoming major microfluidic limitations. Recently, the application of oscillating microbubbles has demonstrated their superiority over acoustically excited solid structures due to their enhanced acoustic streaming at low input power. However, their limited temporal stability hi
