1,214 research outputs found
A Tannakian classification of torsors on the projective line
In this small note we present a Tannakian proof of the theorem of
Grothendieck-Harder on the classification of torsors under a reductive group on
the projective line over a field.Comment: 13 pages; any comments or hints to existing literature welcom
Young lives on the move:The mobility trajectories and transnational affective engagements of Ghanaian background youth living in Belgium
One in five young people across the European Union has a migration background, meaning that either they or their parents were born abroad. Many of these young people engage in visits to the country of origin on a regular basis and/or have been mobile before they migrated to Europe. Even though there is much research on the impact of migration on young people, their actual mobility has hardly been investigated. This dissertation investigates how the physical mobility to and within Ghana shapes the lives of Ghanaian-background youth living in Belgium. It does so by examining their ‘mobility trajectories’, that is, not only the migration move but all movements young people undertake over time and across geographically distinct localities, the concomitant family constellations these moves entail, and what happens during mobility. Ethnographic research in Belgium and Ghana with 25 young people of Ghanaian-background reveals how youth use their own mobility and digital media to create and maintain effective engagements, meaning the connections with people and places in the country of origin. These connections in turn shape experiences with family reunification and separation, personal growth and future pathways, and their relationship with the country of origin
Free Ride in Rush-hour Traffic – Designing Gamified Smart Mobility Systems for Sustainable Use
A large proportion of traffic congestion can be attributed to daily commute. While smart mobility systems (SMSs) intend to address the resulting challenges by actively changing users’ behavior, many SMSs suffer from users’ meaningful engagement. Research and practice have started examining engagement factors in order to increase meaningful engagement with SMSs. The question of how traffic participants can be continuously involved with SMSs to sustainably change their behavior has not been answered satisfactorily yet. In our paper, we identify relevant gamification elements suitable to improve meaningful engagement based on a literature study and market analysis. We used a design science approach to derive design requirements. Building on these, we assume comprehensive design principles and used them to derive initial design features. With these, we started a first feature configuration and a prototypical app implementation towards designing a sustainable SMS
Prismatic Dieudonn\'e theory
We define, for each quasi-syntomic ring (in the sense of
Bhatt-Morrow-Scholze), a category of \textit{filtered
prismatic Dieudonn\'e crystals over } and a natural functor from
-divisible groups over to . We prove that this functor
is an antiequivalence. Our main cohomological tool is the prismatic formalism
recently developed by Bhatt and Scholze.Comment: v2: fixed a gap in Section 3 and removed an unnecessary hypothesis in
the statement of the main theore
Structuring User-Generated Content on Social Media with Multimodal Aspect-Based Sentiment Analysis
People post their opinions and experiences on social media, yielding rich
databases of end users' sentiments. This paper shows to what extent machine
learning can analyze and structure these databases. An automated data analysis
pipeline is deployed to provide insights into user-generated content for
researchers in other domains. First, the domain expert can select an image and
a term of interest. Then, the pipeline uses image retrieval to find all images
showing similar contents and applies aspect-based sentiment analysis to outline
users' opinions about the selected term. As part of an interdisciplinary
project between architecture and computer science researchers, an empirical
study of Hamburg's Elbphilharmonie was conveyed on 300 thousand posts from the
platform Flickr with the hashtag 'hamburg'. Image retrieval methods generated a
subset of slightly more than 1.5 thousand images displaying the
Elbphilharmonie. We found that these posts mainly convey a neutral or positive
sentiment towards it. With this pipeline, we suggest a new big data analysis
method that offers new insights into end-users opinions, e.g., for architecture
domain experts.Comment: 9 pages, 5 figures, short paper version to be published at 9th
IEEE/ACM International Conference on Big Data Computing, Applications and
Technologies (BDCAT2022
Feltarbeid snøradar
GBV-prosjektet 20180070 "snøegenskaper fra dronebaserte radarmålinger" er et delmål å innhente feltdata med GPR, både fra bakken og i luft. Radardata skal gi informasjon om snødybde, lagdeling i snø og snøegenskaper. Det skulle måles både i uberørt og "forstyrret" snø med nedgravde gjenstander i. Dette notatet beskriver feltarbeidet utført i denne sammenhengen. Dokumentet inneholder ingen prosessering eller tolkning av rådata.Norges forskningsrå
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