Filtyp
The main demographic and psychological correlates of Well-Being (WB) are well-established, but have not yet been assessed in the Swedish population–regularly ranked among the world's top five ranked WB nations–based on large, nationally representative data. Using 2023 Global Flourishing Study data (N = 15,068), this paper analyzes Swedish WB across three domains: demography (e.g., gender, age, and
PURPOSE: Compare the radiological characteristics of screening images preceding interval cancers that occurred in women screened with digital breast tomosynthesis (DBT) plus digital mammography (DM) vs. those in women screened with DM alone.MATERIALS AND METHODS: From two randomized trials comparing DBT + DM vs. DM, 91 (43 from DBT + DM arm and 48 from DM arm) images preceding interval cancers and
β-Ga2O3 is a promising ultrawide-bandgap semiconductor for high-power and optoelectronic applications; yet, its intrinsically low thermal conductivity poses challenges for heat dissipation. To clarify how strain and size effects govern phonon transport, we investigate bulk β-Ga2O3 under biaxial tensile strain and finite-size confinement using first-principles calculations and the phonon Boltzmann
How do political blocs form, consolidate, and dissolve? And can we trace these dynamics through the language of parliamentary debate? We address these questions by analyzing speeches in the Swedish Riksdag, using supervised machine learning to examine changes in rhetorical alignment among parties. Adapting classification methods developed for two-party systems to a multiparty context, we assess rh
In this paper, we have studied the sensitivity of the ESSnuSB far detector to supernova neutrinos. ESSnuSB is a proposed long-baseline neutrino experiment in Sweden, which will use a 538 kt water Cherenkov detector to probe the leptonic phase δCP by studying the second oscillation maximum. However, given the very large detector volume, it will have an excellent sensitivity to supernova neutrinos i
The World Meteorological Organization (WMO) Global Atmosphere Watch (GAW) coordinates high-quality atmospheric greenhouse gas observations globally and provides these observations through the WMO World Data Centre for Greenhouse Gases (WDCGG) supported by Japan Meteorological Agency. The WDCGG and the National Oceanic and Atmospheric Administration (NOAA) analyse these measurements using different
Researchers using eye tracking are heavily dependent on software and hardware tools to perform their studies, from recording eye tracking data and visualizing it, to processing and analyzing it. This article provides an overview of available tools for research using eye trackers and discusses considerations to make when choosing which tools to adopt for one's study.
Constructed with used plastic bottles, the eco-cooler has been widely adopted in resource-poor communities in Bangladesh and other countries. We tested the eco-cooler under controlled conditions using a scientific wind tunnel in a climatic chamber. In our tests, we used seven eco-cooler designs in 27 climate conditions typical of Bangladesh (temperatures of 40 °C, 35 °C, and 30 °C; humidity levels
In this article, we discuss operationalizations and examples of experimental design in eye-tracking research. First, we distinguish direct operationalization for entities like saccades, which are closely aligned with their original concepts, and indirect operationalization for concepts not directly measurable, such as attention or mind-wandering. The latter relies on selecting a measurable proxy.
We investigate the dynamics of the adaptive Kuramoto model with slow adaptation in the continuum limit, N → ∞ . This model is distinguished by dense multistability, where multiple states coexist for the same system parameters. The underlying cause of this multistability is that some oscillators can lock at different phases or switch between locking and drifting depending on their initial condition
This thesis investigates morality from a computational perspective by examining how machines can be developed with capacities for moral reasoning and action. It addresses how to overcome interdisciplinary boundaries between moral philosophy and computer science (Paper I), proposes a virtue-theoretic framework for artificial moral cognition (Papers II and III), and highlights issues of using normat
Artificial empathy (AE) is a hotly contested topic. Recently, several empathy researchers have voiced criticism on the prospect of AE, arguing that it is impossible, unethical, or both. Contrary to these sentiments, we believe that further nuance and research are needed to better understand AE, its risks, and what it can potentially contribute to human well-being. We will focus on one obstacle to
Can AI ‘solve’ politics? In this paper, I explore optipolitics, i.e., the idea that politics along with other complex social issues can be framed as mathematical optimization problems and solved as such. I begin by describing politics, optimization, and some reasons for applying the latter to the former. I then present a liberal democratic version of optipolitics and try to defend it against eight
Extensive studies have shown that humans process faces holistically, considering not only individual features but also the relationships among them. Knowing where humans and dogs fixate first and the longest when they view faces is highly informative, because the locations can be used to evaluate whether they use a holistic face processing strategy or not. However, the conclusions reported by prev
Cardiac diffusion tensor imaging (cDTI) is highly prone to image corruption, yet robust-fitting methods are rarely used. Single voxel outlier detection (SVOD) can overlook corruptions that are visually obvious, perhaps causing reluctance to replace whole-image shot-rejection (SR) despite its own deficiencies. SVOD's deficiencies may be relatively unimportant: corrupted signals that are not statist
The accurate representation of mixed-phase monsoon clouds and their phase distribution is of great importance for numerical models used to predict monsoon rainfall. Therefore, it is essential for these models to correctly capture the phase fraction of clouds, which includes the proportions of liquid and ice. Ice particle formation in clouds occurs through primary ice production and secondary ice p
Deep learning methods have significantly advanced the field of gaze estimation, yet the development of these algorithms is often hindered by a lack of appropriate publicly accessible training datasets. Moreover, models trained on the few available datasets often fail to generalize to new datasets due to both discrepancies in hardware and biological diversity among subjects. To mitigate these chall
Background The risk of perinatal death and severe neonatal morbidity increases : gradually after 41 weeks of pregnancy. We evaluated maternal and perinatal outcomes after a national shift from expectancy and induction at 42+0 weeks to a more active management of late-term pregnancies in Sweden offering induction from 41+0 weeks or an individual plan aiming at birth or active labour no later than 4
Since 2011, LUNARC has aimed to provide an interactive HPC environment for its resource users. Several different architectures have been used, but since 2013, we have been using a remote desktop environment based on Cendio's ThinLinc [1] combined with a custom backend framework, GfxLauncher [2], supporting hardware-accelerated graphics applications and Jupyter Notebooks [3] submitted to the backen
