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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
The emergence of passively and continuously recorded movement data offers new opportunities to study the long-term change of individual travel behaviour from data-driven perspectives. This study proposes a clustering-based framework to identify travel behaviour patterns and detect potential change periods on the individual level. First, we extract important trips that depict individual characteris
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
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
In 1807, Britain outlawed the slave trade across its empire. Yet in the Cape Colony, households continued accumulating slaves for decades afterwards. New evidence from digitised tax censuses suggests the answer lies not in labour demand, but in the financial value of enslaved people as capital assets.
INTRODUCTION: Autoantibodies against insulin (IAA) are early appearing markers of autoimmunity against the pancreatic islet beta cells and predict progression to type 1 diabetes if additional islet autoantibodies also develop. It is still controversial if proinsulin rather than insulin is the primary autoantibody.METHODS: The aim of the present study was to compare the half-maximal concentration (
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
BACKGROUND AND OBJECTIVE: BRCA1 and BRCA2 pathogenic germline variants (PGVs) are associated with higher risk of prostate cancer (PC). The IMPACT study evaluated the utility of targeted prostate-specific antigen (PSA) screening in BRCA1/BRCA2 PGV carriers. Here we report outcomes after five rounds of PSA screening in IMPACT.METHODS: Between 2005 and 2015, 3063 participants aged 40-69 yr (median 54
BACKGROUND AND OBJECTIVE: Although the effects of 5-α-reductase inhibitors (5-ARIs) on prostate-specific antigen (PSA) have been well-studied, the effects on other kallikrein markers have not been firmly established. Accordingly, a statistical model based on blood measurements of four kallikreins-known commercially as the "4Kscore"-cannot be used for men taking 5-ARIs. We investigated how finaster
Contribution presenting the awarded Europan 5 project Arquitectura Simpática for La Chanca, Almería (Spain), published within a collective Europan publication documenting selected competition projects through drawings, texts and project material.
Conversation published in Europanic, a publication documenting the history and development of Europan in Sweden. The conversation reflects on the author’s experience through five awarded editions of the Europan competition in Spain, Norway and Sweden. Europan is a biennial European competition and platform for architecture, housing and urban development involving multiple European countries and mu
Dawn and her best friend Amber are students at Stillwater School, an experimental academy that’s the laughingstock of Atlanta. When Ms. Ella arrives to teach the eighth grade, she shakes up the school with her radical ideas and violent discipline, building an enthusiastic following and even winning the loyalty of rebellious Dawn.The imprint she leaves on her students is both profound and damaging,
Back cover:Addie and Dorian have always been together: the two sisters have spent most of their lives in a locked ward after being diagnosed with a rare psychiatric condition and accused of murder as children. Now on the cusp of adulthood, Addie plans to start a new family to replace the one she lost, while Dorian struggles with her own violent tendencies to help raise her sister's child. But Dr.
In the 1880s, the Anglo-German feminist freethinker Mathilde Blind wrote a series of poems inspired by her residence in Manchester. Our chapter reads Blind’s Manchester poems through the lens of the atmospheric humanities, focusing on how these poems show the entanglement of the human with both urban and natural environments, gesture towards an imagined future for those marginalized in industrial
Awarded competition proposal for Lerum (Sweden), published in AV Proyectos 036 within a curated international selection of projects. The proposal explores housing, infrastructure and landscape through a psychogeographic approach to urban development, combining residential diversity, public space and adaptive urban growth strategies. The publication includes drawings, diagrams and project material
Heatwaves increasingly challenge urban electricity networks by intensifying and reshaping cooling demand over extended periods. This study investigates how weather-informed Adaptive Reinforcement Learning for Energy Management (ARLEM), a decentralized model-free control framework, redistributes cooling demand and manages systems stress during sustained heatwaves, focusing on the roles of forecast
