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Computer vision-based assessment of cyclist-tram track interactions for predictive modeling of crossing success

Introduction: Single Bicycle Brashes (SBCs) are common, and underreported in official statistics. In urban environments, light rail tram tracks are a frequent factor, however, they have not yet been the subject of engineering analysis. Method: This study employs video-based analysis at nine Dublin city centre locations and introduces a predictive model for crossing success on tram tracks, utilisin

Young adults’ narratives about living with home mechanical ventilation–a phenomenological hermeneutical study

Purpose: An increasing number of children and young adults with complex medical conditions and respiratory failure are treated with home mechanical ventilation (HMV). The current study aimed to describe how young adults using HMV experience their everyday life with the ventilator, their physical impairments and their opportunities for an educational and professional career. Materials and methods:

Diplomatic Representation and Online/Offline Interactions : EU Coordination and Digital Sociability

European Union (EU) diplomatic representation in third countries is performed by both the Member States and by the EU Delegation—a hybrid system of representation that functions through EU coordination. As social media have become essential channels of state representation, coordination also occurs in digital diplomacy. This article analyses how the EU Member State embassies and the EU Delegation

Probing Mundania : Using Art and Cultural Analysis to Explore Emerging Technologies

This essay will discuss my work in the interstices between art and cultural analysis. I will expound on how I’ve used a certain concept as part of artistic practice and cultural analytic research. The concept, which I’ve chosen to call Mundania, is used to grapple with the role of emerging technologies in everyday life. The concept is used to discharge imaginations about everyday life characterise

Resisting the Objectification of Qualitative Research : The Unsilencing of Context, Researchers, and Noninterview Data

Based on an analysis of qualitative research papers published between 2019 and 2021 in four top-tier management journals, we outline three interrelated silences that play a role in the objectification of qualitative research: silencing of noninterview data, silencing the researcher, and silencing context. Our analysis unpacks six silencing moves: creating a hierarchy of data, marginalizing noninte

Introducing AI Into Urban Studies

Innovation in artificial intelligence (AI) is transforming cities in unprecedented ways. In this chapter, we unpack the connections between AI and the urban by introducing the concept of urban AI and reflecting on its most prominent incarnations: autonomous vehicles, urban robots, city brains and urban software agents. We then illustrate how the emergence of urban AI is producing a new urbanism th

A high resolution multi-object spectrograph for the VLT : a pre-concept design

Following the idea originally proposed during the ESO-Workshop The Very Large Telescope in 2030, the concept of a high resolution spectrograph for the VLT has been further explored, both for the science and technological aspects. Such an instrument will fill a gap in capabilities amongst the landscape of future instrumentation planned for the next decade. Its key characteristic will be high spectr

Context Effects on Duration, Fundamental Frequency, and Intonation in Human-directed Domestic Cat Meows

In this study, we investigated the prosody of domestic cat meows produced in different contexts. Prosodic cues – i.e., variation in intonation, duration, voice quality and fundamental frequency – in humans as well as in nonhuman animals carry information about idiosyncratic traits of the signaller, including sex, age, and physical and mental state. The duration, fundamental frequency (F0) and into

Angular-dependent interatomic potential for large-scale atomistic simulation of W-Mo-Nb ternary alloys

We present a new classical interatomic potential designed for simulation of the W-Mo-Nb system. The angular-dependent format of the potential allows for reproduction of many important properties of pure metals and complex concentrated alloys with good accuracy. Special attention during the development and validation of the potential was paid to the description of vacancies, screw dislocations and

A framework for national-scale predictions of forage dry mass in Senegal : UAVs as an intermediate step between field measurements and Sentinel-2 images

Monitoring available feed for livestock is a key factor for developing pastoralism in the Sahel, and satellite images has proven useful in monitoring dry mass on large spatial scales. This approach requires field measurements of dry mass (herbaceous and woody plants) to calibrate such models based on Earth observation data. However, the need for representative field measurements can be a challenge

Stabilizing Translucencies : Governing AI transparency by standardization

Standards are put forward as important means to turn the ideals of ethical and responsible artificial intelligence into practice. One principle targeted for standardization is transparency. This article attends to the tension between standardization and transparency, by combining a theoretical exploration of these concepts with an empirical analysis of standardizations of artificial intelligence t

Hur ange objektet vid fastighetsöverlåtelse? : Vad följer av formkravet och hur ska det tolkas? En diskussion i ljuset av rekvisit och några domstolsavgöranden

Vad är det som överlåts vid en transaktion avseende fast egendom? Ofta vållarden frågan inte några svårigheter att besvara och innebörden framgår vanligtvis tydligt av såväl köpeavtal som köpebrev. Men vad gäller i det fall parternainte tillräckligt tydligt har formulerat köpeobjektet i avtalet, om parterna inte äröverens om vad som ingår i överlåtelsen eller om formuleringarna ser olika ut iköpea

On Calibration Algorithms for Real-Time Brain-Computer Interfaces

A Brain-Computer Interface (BCI) is a system that, in real-time, translates the user's brain activity into commands that can be used to control applications, such as moving a cursor on the screen. The translation is made possible by machine learning methods and other algorithms. The thesis focuses on EEG-based BCIs which are the most common type of BCIs due to EEG measurements being non-invasive,