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We present a canonical series expansion for generalized harmonic functions in the open unit disc in the complex plane that generalizes that recently obtained for the class of (Formula presented.) -harmonic functions.
Decapping is a critical step in mRNA decay, but the mechanisms regulating human decapping enzyme DCP2 remain poorly understood. Here, we reconstitute the human decapping network using full-length recombinant proteins and compare it to the yeast system. Unlike in yeast, we find that the C-terminal region of human DCP2 is not autoinhibitory. RNA-binding residues of yeast Dcp2 are not conserved in th
”Människor och vilt i Skandinavien” syftar till att beskriva och illustrera hur samtida samhällsvetenskaplig och humanistisk forskning närmar sig frågor om vilt och viltförvaltning i Skandinavien. Rapporten består av två delar där Del 1 beskriver olika discipliner och deras teoretiska utgångspunkter och centrala frågeställningar inom forskningsfältet. Disciplinerna kategoriseras grovt utifrån den “Humans and Wildlife in Scandinavia” aims to describe and illustrate how contemporary social science and humanities research approaches issues related to wildlife and wildlife management in Scandinavia. The report consists of two parts. Part 1 describes the different disciplines and their theoretical foundations as well as central research questions within the field. The disciplines are broadly ca
Spark discharge generators (SDGs) are versatile tools for producing nanoparticles (NPs) with tailored properties. This study combines Computational Fluid Dynamics (CFD) and Particle Tracing (PT) simulations in COMSOL Multiphysics® with experimental data to investigate the effect of various chamber configurations, including inlet/outlet positioning and chamber volume on the NP output. Five geometri
Quantifying intra-person variability in travel choices is essential for the comprehension of activity–travel behaviour. Due to a lack of empirical studies, there is limited understanding of how an individual's travel pattern evolves over months and years. We use two high-resolution user-labelled datasets consisting of billions of GPS track points from ∼3800 individuals to analyse individuals’ acti
Human perception of place refers to residents' psychological feelings about urban areas. Many studies of human perceptions have focused on a specific geographic location. Whether the distribution of human perceptions in continuous city space shows specific characteristics and how to disclose these phenomena remains a direction worth exploring. Due to cities' heterogeneity, quantitatively identifyi
An in-depth analysis of the urban road network structure plays an essential role in understanding the distribution of urban functional area. To concentrate topologically densely connected road segments, communities of urban roads provide a new perspective to study the structure of the network. In this study, based on OpenStreetMap (OSM) roads and points-of-interest (POI) data, we employ the Infoma
The work developed within Following the Fish—an artistic research project exploring architecture, migration and collective practice through workshop-based methodologies—was presented at the Venice Architecture Biennale 2023 (20 May – 26 November 2023), one of the most significant international exhibitions of contemporary architecture, as part of the Catalan representation.The exhibition brought to
Nurse turnover is a central driver of the growing care deficits that characterise contemporary capitalism. In Sweden, despite policy efforts to improve retention, nurse shortages persist – destabilising care provision and intensifying workplace strain. This article explores how turnover and employer responses in the Swedish healthcare sector reflect the contradictory dynamics of market culture. Dr
Accurate activity location prediction is a crucial component of many mobility applications and is particularly required to develop personalized, sustainable transportation systems. Despite the widespread adoption of deep learning models, next location prediction models lack a comprehensive discussion and integration of mobility-related spatio-temporal contexts. Here, we utilize a multi-head self-a
Wearable eye trackers and other glasses move on the wearer’s face. Such slippage can cause large offsets in the reported gaze position, and significant data loss. How much slippage may be expected during natural behavior? Here we report on the movement of two eye trackers and two smart glasses on the wearer’s head, recorded using a motion capture setup while thirty-five participants performed ten
The rise of solo living presents significant social and environmental challenges, particularly in high-income countries like Denmark where nearly half of households are single occupancy. This study explores the social dynamics driving the trend towards living alone through in-depth interviews with 23 individuals living alone in Denmark. Pathways to solo living include urban relocation, aging out o
The languages individuals speak have been observed to influence how they perceive and interpret certain aspects of the world, but the conditions that give rise to these effects are not always clearly defined. One way to address the issue is to examine specific task contexts in which language is likely to modulate perception. Building on this, the aim of the present study was to investigate the rol
Background/objectives: A nationwide survey, covering all surgical departments, was conducted in a country with easily accessible tax-funded healthcare. The survey aimed to provide insight into ‘real-world’ intraductal papillary mucinous neoplasia (IPMN) surveillance, including the proportion of patients monitored, adherence to guidelines and details of follow-up. Methods: At all hospitals caring f
The 2019 IARAI traffic4cast competition is a traffic forecasting problem based on traffic data from three cities that are encoded as images. We developed a ResNet-inspired graph convolutional neural network (GCN) approach that uses street network-based subgraphs of the image lattice graphs as a prior. We train the Graph-ResNet together with GCN and convolutional neural network (CNN) benchmark mode
Sustainable bioenergy is central to climate change mitigation, yet biomass supply depends not only on biophysical and economic assessments but also on farmers' decision-making. Straw from cereal and oilseed crops can support renewable energy, but its availability is constrained by on-farm uses, management practices, and farmers' access to knowledge of sustainable soil management. Because straw rem
We extend the generalized information criteria framework for model selection to high-dimensional sparse statistical jump models, a recent class of statistically robust and computationally efficient alternatives to hidden Markov models. Specifically, we derive expressions for the model fit and complexity to construct suitable information criteria for hyperparameter selection. In extensive simulatio
