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Looking back, it might seem as if all higher education in Sweden switched to remote teaching on March 18, following a government decision the day before. Instead, higher education had started to change from within already a couple of weeks earlier, as teachers and students reacted to the pandemic. To document and to try and understand what was going on, I sent out questionnaires to the students in
A practical and accessible guide that demystifies ForEx risk for managers in all areas of business Virtually any organisation active in the global economy is impacted by fluctuations in foreign exchange (FX or ForEx) markets. Managers need to understand this increasingly complex issue and measure their firm's exposure to risk. Corporate Foreign Exchange Risk Management is an in-depth yet accessibl
Based on a conceptualization of heteroactivism as a transnational phenomenon manifesting in local contexts to spread and express resistance to gender and sexual rights, this article aims to illuminate new dimensions of heteroactivism beyond a sole focus on gender and sexuality by bringing its specificities in the Swedish context to the fore. Drawing on digital ethnography with members of the neo-c
Innovation has been a key topic of interest for the regional studies community. In particular, the regional characteristics and impacts of innovation have been a popular theme of enquiry and theorisation, and the community has been at the forefront of discussions around regional innovation systems, in particular. However, we see a large gap in the current state of the art around frugal innovation.
This study investigates levels of oral proficiency in French, German and Spanish attained by Swedish speaking students in lower secondary school. A total of 122 students performed two tasks: one production task and one interaction task. The oral performances were rated using scales from the Common European Framework of Referencefor Languages. The rating was done in successive steps by researchers
Some magnetic systems feature spin textures, real-space patterns in the orientation of spins that can topologically form non-trivial configurations. Among them, a vortex-like spin swirling texture known as a magnetic skyrmion has attracted particular attention. Lattices of skyrmions form in the helimagnet MnSi with a periodicity of 18 nm, which makes them amenable to investigation by Lorentz trans
We characterize the model spaces K in which functions with smooth boundary extensions are dense. It is shown that such approximations are possible if and only if the singular measure associated to the singular inner factor of is concentrated on a countable union of Beurling Carleson sets. In fact, we use a duality argument to show that if there exists a restriction of the associated singular measu
This book constitutes the refereed proceedings of the 14th International Workshop on Post-Quantum Cryptography, PQCrypto 2022, held in College Park, MD, USA, in August 14–18, 2023.The 25 full papers presented in this book were carefully reviewed and selected from 51 submissions. They are categorized in the following topical sections: code-based cryptography; group-action-based cryptography; isogen
The impacts of climate change on rural cultures and livelihoods depend on how the resulting complex biophysical processes may transform people’s land use practices. We argue that research can incorporate local concerns of compound hazards through deterministic rather than probabilistic approaches to better understand the multiple causations involved in such climate change impacts. We apply mixed
Pseudo-random functions are a fundamental building block in many cryptographic applications. In certain scenarios, a weaker notion (where security is restricted to uniformly random input), but more computationally efficient, called weak pseudo-random functions, is sufficient. In this work, we present new differential attacks on the main binary weak pseudo-random function constructions, namely the
Deep learning has shown promise for gaze estimation in Virtual Reality (VR) and other head-mounted applications, but such models are hard to train due to lack of available data. Here we introduce a novel method to train neural networks for gaze estimation using synthetic images that model the light distributions captured in a P-CR setup. We tested our model on a dataset of real eye images from a V
Acquiring and distributing essential information for understanding global biogeochemical interactions between the atmosphere and ecosystems, and how climate-ecosystem feedback loops may change atmospheric composition in the future is a fundamental pre-requisite for societal resilience in view of climate change. Particularly, the detection of trends and periodicity in the presence of greenhouse gas
In this study, we evaluate the performance of modified polysulfone (PSF) ultrafiltration (UF) membranes, which incorporate deep eutectic solvents (DES), in treating stormwater laden with natural organic matter e.g. chemical oxygen demand (COD) and total suspended solids (TSS). We also aim to understand how these organic substances, e.g. COD, TSS, from the water source contribute to the fouling of
Catalogue-based studies are of central importance in seismological research, to investigate the temporal, spatial and size distribution of earthquakes in specified study areas. Methods for estimating the fundamental catalogue parameters like the Gutenberg-Richter (G-R) b-value and the completeness magnitude (Mc) are well established and routinely applied. However, the magnitudes reported in seismi
The Environmental Research Infrastructure (ENVRI) community is a cluster of European research infrastructures focused on the environment and Earth system science. The ENVRI-FAIR project aims to advance the FAIRness of their data and services with emphasis on interoperability and connect the ENVRI community to the European Open Science Cloud (EOSC). In this article, we present a proposal for a scie
