Filetype
Artikeln undersöker hur Markusevangeliet och Franz Kafkas Processen uppvisar beröringspunkter kring social död, avhumanisering och litterär oreda. Med Orlando Pattersons teori om social död som analytiskt ramverk visar studien hur Jesus Kristus och Josef K genomgår en successiv förlust av identitet, rättigheter och socialt erkännande i relation till lagens dömande instanser. Deras skamfyllda dödsh
Activation functions are fundamental components in neural networks, enabling non-linear transformations essential for tasks like signal processing, control systems, image analysis, economics, and robotics. They play a crucial role in facilitating processes such as noise reduction, segmentation, and decision-making across various applications. Splines offer an alternative approach to traditional ac
We propose data-driven surrogate models to solve systems of time-dependent differential equations coupled with noise. Using a feedforward neural network, we separately learn the noise and solution, tackling approximations across regimes with bifurcations and rare events. Focusing on irregular data generated by a stochastic noise model on a one-dimensional spatial lattice coupled to a differential
In a society of rapidly increasing complexity, new ways of addressing challenges are required.As new students entering university today are driven by different motivations than previous generations and call for more innovative approaches to working life, we at the university level must also adapt to this change.Based on theories of consciousness development and the study-related social environment
Supplemental Instruction (SI) is an academic support model with large international prevalence with the purpose of preventing dropouts and strengthen students’ study abilities and results. SI is a collaborative form of learning in groups of about 5-15 students who meet on a weekly basis under the facilitation of an SI-leader, an older student with good insight in the course. The SI-leader helps th
Out-of-distribution (OOD) detection is a crucial step in ensuring robustness and trustworthiness for deep learning (DL) models. This is particularly important for classification tasks in medical applications. Previous work has shown that point-of-care ultrasound (POCUS) imaging combined with a DL classification network could improve access to early breast cancer diagnosis. In this work, we investi
INTRODUCTION: Effective management of chronic breathlessness requires understanding people's activity limitations. This study evaluated the extent to which chronic breathlessness limits people's self-reported everyday activities.METHODS: A web-based, cross-sectional survey (adults ≥18 years). Recruitment was through a marketing research company, stratified to the 2016 Australian Census for key dem
In this work we present SPL-BEV, a method to localize soccer players on a pitch from a monocular RGB camera. SPL-BEV features a network with few parameters that does not need to make any explicit object detection before localization is made. With SPL-BEV we show increased performance on the Spiideo SoccerNet SynLoc dataset compared to the best provided baseline result. The SPL-BEV system samples f
The problem of reconstructing a spatial sound field from microphone signals and a coarse, partial, and/or uncertain point cloud representation of the boundaries of the room is considered. This problem has downstream applications within sound field control for which precise reconstruction is essential. Typical for these applications is that only microphone measurements are considered, resulting in
This joint article, comprising five contributions, results from a workshop focused on the use of Bible commentaries in teaching at Swedish universities today. While each contribution presents a distinct style and voice, we all agree on the importance of learning how to use commentaries in higher education and, equally, the need for their active application. We also all welcome the development of m
In this work, we study the problem of estimating the in-ear sound field using microphone measurements at nearby positions. Typically, the sound field is first interpolated to the position of the head under free-field assumptions, followed by filtering through pre-measured head-related transfer functions (HRTFs). While properties of free-field interpolation methods have been well studied with respe
We propose a methodology to enhance local CO2 monitoring by integrating satellite data from the Orbiting Carbon Observatories (OCO-2 and OCO-3) with ground-level observations from the Integrated Carbon Observation System (ICOS) and weather data from the ECMWF Reanalysis v5 (ERA5). Unlike traditional methods that downsample national data, our approach uses multimodal data fusion for high-resolution
This article discusses baptism as expressing the four-fold relationality of life based on God, creation, neighbour, and self, as found in the second narrative of creation in the book of Genesis. Based on this understanding of baptism, baptismal ecclesiology can be defined as an understanding of the church that is primarily grounded in the sacrament of baptism. Baptismal ecclesiology sheds light on
Fluorescence line-narrowing measurements at low temperature were performed on the Fenna-MatthewsOlson complex of Prosthecochloris aestuarii. Superimposed on the phonon wing, several vibronic bands could be observed. By use of these data, the temperature dependence of the lowest-energy absorption band was modeled based on the linear harmonic Franck-Condon approximation. The overall Huang-Rhys facto
Against the backdrop of Gaza and Europe’s muted response, this essay reflects on Elad Lapidot’s challenge to recognize the violence hidden in the language of peace.
