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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

Governance of sustainable development increasingly relies on voluntary standards and commitments, the credibility and effectiveness of which hinge on accountability—ensuring actors align with shared goals and follow through on them. However, voluntary initiatives operate outside traditional control structures and blend elements of state, market, and community governance. This study examines how ac

The disclosure relates to an antenna for a glass roof of a vehicle. The antenna can comprise a radiator for radiating electromagnetic waves. The radiator can be configured to be disposed between two glass layers of the glass roof. The radiator can be configured for feeding a signal to a receiver. The antenna can be substantially flat.

This article serves as an introduction to the special issue on ad hoc concepts and linguistic relativity. We argue that empirical research on linguistic relativity can be re-interpreted through the lens of ad hoc cognition, a framework originating in Barsalou’s (Memory & Cognition, 11, 211–227, 1983) account of goal-derived categories and expanded by Casasanto and Lupyan’s (The conceptual mind

The lack of research on why certain locations are perceived as unsafe has often been attributed to the scarcity of suitable data on place-based fear of crime. To address this gap, this study explores two spatial data collection methods applied in semi-rural areas of Kristianstad, Sweden. The first method uses a digital sketch map integrated with open-ended questions, accessed via an online web map

Recent studies show how patterns and trends in social mobility look substantially different when both parents are considered rather than one. Using Swedish census and register data covering cohorts born 1865–1985 and their parents, I describe social mobility among both male-breadwinner and dual-earner family types, each reflecting a work-life context common globally today. This rich longitudinal d