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Conducting digital research on the far-right continuum (covering a broad array of actors further to the right from what is generally considered the mainstream right), evokes several serious ethical challenges. This becomes particularly poignant in cases whose research subjects hold illiberal, extreme, and potentially hostile views toward the researcher. In this chapter, we critically reflect on th
To prepare students for addressing wicked problems such as climate change and inequality, higher education must foster systemic and interdisciplinary thinking. We developed a flexible, interactive workshop grounded in sustainability goals and transitions theory to promote abductive reasoning across disciplines. Using cases on food waste, fashion, and e-waste, the workshop was tested in four divers
Evidence-based forensic research necessitates the creation of large and valid datasets. However, in our experience many departments face a challenge in how to extract this data from electronically archived records. This technical note describes a custom script created in the Python programming language. The program can extract data on decedent sex, age, body height, body weight, organ weight, orga
Biogenic ice-nucleating particles (INPs) can significantly impact mixed-phase clouds by enhancing precipitation and reducing albedo. As Arctic sea ice diminishes, the exposure of open ocean may increase aerosolization rates of marine bioaerosols and INPs. We investigated INP concentrations and microbial communities in ambient marine air, sea bulk water (SBW), and sea surface microlayer (SML) along
The Cherenkov Telescope Array (CTA) is the future observatory for ground-based imaging atmospheric Cherenkov telescopes. Each telescope will provide a snapshot of gamma-ray induced particle showers by capturing the induced Cherenkov emission at ground level. The simulation of such events provides camera images that can be used as training data for convolutional neural networks (CNNs) to differenti
Probabilistic models of imposed loads require adjustments to reflect current knowledge and experience. To do so, relevant data about their spatial and temporal variability must be collected. Structural Health Monitoring allows to estimate loads acting on bridges by measuring the relevant strains or deflections. Adapting this approach to buildings is not straightforward due to the increased complex
At the emergency department, it is important to quickly and accurately identify patients at risk of acute myocardial infarction (AMI). One of the main tools for detecting AMI is the electrocardiogram (ECG), which can be difficult to interpret manually. There is a long history of applying machine learning algorithms to ECGs, but such algorithms are quite data hungry, and correctly labeled high-qual
Gaussian process regression is widely applied in computational science and engineering for surrogate modeling owning to its kernel-based and probabilistic nature. In this work, we propose a Bayesian approach that integrates the variability of input data into the Gaussian process regression for function and partial differential equation approximation. Leveraging two types of observables—noise-corru
Laser wakefield accelerators produce ultrashort, highly relativistic electron and x-ray pulses in plasma over millimeter distances. Crucial for investigations and applications of these pulses is a reproducible and controlled output beam pointing. Even with a perfectly stable laser, pulse-front tilt in the driving laser pulse has been shown to cause both the laser pulse and the electron beam to dev
Isolated attosecond pulses are often generated via sub-optical-cycle polarization gating. This technique, based on the precise control of the time-dependent polarization of the infrared driver pulse, enables strong temporal confinement of the extreme ultraviolet (XUV) emission from high-order harmonic generation (HHG) in gases. In this work, we study the influence of pulse propagation between the
The photoelectric effect explained by Einstein is often regarded as a one-electron phenomenon, whereas the interaction of the escaping electron with other electrons, referred to as electron correlation, plays an important role in multielectron systems. In this Letter, we study the attosecond photoionization of the outer s subshell of argon in its substantial minimum cross-section region formed by
This book describes the Department of Physical Geography at Lund University from 1880 to 2000. It focuses on the staff and the development of Geography from its beginnings as a branch of History in 1880 through a period of traditional Geography up to 1948, when the subject was divided into two branches: physical Geography and Human and Economic Geography. Finally, the subject developed into a mode
The detection of gravitational waves (GWs) from a binary neutron star (BNS) merger by Advanced LIGO and Advanced Virgo (GW170817), along with the discovery of the electromagnetic counterparts of this GW event, ushered in a new era of multimessenger astronomy, providing the first direct evidence that BNS mergers are progenitors of short gamma-ray bursts (GRBs). Such events may also produce very-hig
The need for affordable housing requires more compact living. With the increasing frequency and impact of climate change incidents, a new way of thinking is needed to live in a more resilient and climate responsive way. The idea of a Z free home began by considering these two needs. As a tiny mobile house equipped with passive and eco-cycle systems, it achieves 9 zero targets. This paper evaluates
Entomological lidar can provide rapid, non-intrusive assessment of insect abundance, diversity and composition, and has the potential to shed light on species specific preferences for habitats or environmental conditions. However, few studies have to date demonstrated comparisons of insect diversity and abundance across sites using photonic methods. Here, we present a first comparative entomologic
LIDAR techniques have been extensively used for studies of aerosol particles. Fluorescence LIDAR was employed for studying natural bio aerosols, such as pollen, but also possible warfare agents. Insects, being "large aerosol" particles clearly give rise to LIDAR returns. Recently, honey bees were studied by polarization reflectance LIDAR and their superior olfactory abilities were used in attempts
