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The increasing development and adaptation of synthetic data raises critical concerns about the perpetuation of datafication logics. In examining some of synthetic data’s core promises, this dialogue paper aims to uncover the potential harm of further de-politicizing synthetic data. With synthetic data, technological opportunities are introduced that promise to resolve a growing demand for data nee

In this chapter, I draw on the artwork LAUREN by Lauren Lee McCarthy and the theoretical ideas of algorithmic intimacies and datafication to reveal the messy contradictions of the datafied home. What I term as the concept of algorithmic intimacies is a way to think anew about the intimate relations between subjects, algorithms, and proximities in data.¹ As the analysis aims to surface, these messy

BACKGROUND: In 2013, it was discovered that a subset of the population in Ronneby, Sweden was exposed to high levels of perfluorinated compounds (PFAS) from drinking water that had been provided by the local Brantafors waterworks and was contaminated by fire-fighting foam from a nearby airport. The start and time-course of population exposures are not known.OBJECTIVE: To investigate the start of P

Historisk översikt över idealet om den flitiga kvinnan genom tiderna.

Ekonomihögskolan vid Lunds universitet har anmodats att lämna ett yttrande över Från överskottsmål till balansmål (SOU 2024:76). Remissyttrandet har utarbetats av Fredrik N G Andersson, Lars Jonung och Elias Bengtsson.

Today, the overwhelming majority of Internet of Things (IoT) and mobile edge devices have extreme resource limitations, e.g., in terms of computing, memory, and energy. As a result, training Deep Neural Networks (DNNs) using the complex Backpropagation (BP) algorithm on such edge devices presents a major challenge. Forward-only algorithms have emerged as more computation- and memory-efficient alte

Internet of Things (IoT) are one of the key enablers of personalized health. However, IoT devices often have stringent constraints in terms of resources, e.g., energy budget, and, therefore, limited possibilities to exploit the state-of-the-art Deep Neural Networks (DNNs). Energy-aware Neural Architecture Search (NAS) is proposed to tackle this challenge, by exploring lightweight DNN (DNN) archite

BackgroundViolence is a major public health concern with a significant impact on the health and well-being of individuals, families, and communities. Living in a new environment without parental control and experimenting with new lifestyles may increase the risk of violence among university students. Therefore, this study aimed to assess exposure to violence and its associated factors among univerBackgroundViolence is a major public health concern with a significant impact on the health and well-being of individuals, families, and communities. Living in a new environment without parental control and experimenting with new lifestyles may increase the risk of violence among university students. Therefore, this study aimed to assess exposure to violence and its associated factors among univer

We have entered a 21st century where people, rather than uniting across borders and daring to feel an affinity with the other, bridging ethnic and national differences, are now increasingly vulnerable, exposed to fragmenting movements often set in motion by leaders driven by egocentric values and self-interests pursued at the expense of the well-being of minorities and those occupying a lower leve

Externally bonded reinforcement (EBR) was used to increase load bearing capacity of light weight aggregate concrete (LWA) masonry walls subjected to eccentric axial compression. Ladder type masonry reinforcement, high strength steel wire strips and glass fiber mesh were used for strengthening of eleven, 2.4 m high, 0.5 m long and 0.1 m thick walls. The reinforcement was applied on the dry wall sur

Sustainable use of wood requires an understanding of expected service life, particularly when the material is exposed to outdoor conditions and, thus, fungal decay. Since moisture is the primary vector for fungal decay, accurate moisture prediction is a key component in service life assessment. For this purpose, the present study leverages existing measured data for linear regression of in-field m

The focus of this article is Alain Resnais’ representation of collective and individual memory and identity in Hiroshima Mon Amour (1959). The film is based on Marguerite Duras’ script from 1958 and remains faithful to this original text. With partial reference to Giuliana Bruno’s views on imaginary cities and urban cartography, the screened urban space will here be read as an emotive map in which

This article explores how dynastic centralisation in early seventeenth-century Sweden shaped relations between dukes and kings as well as their respective courts. Focusing on Duke Johan of Östergötland, it examines how courtly socialisation influenced Johan’s loyalty to his uncle, Charles IX, and cousin, Gustavus Adolphus. Drawing on correspondence and court records, the study argues that Johan’s

The sparse identification of nonlinear dynamics (SINDy) algorithm enables us to discover nonlinear dynamical systems purely from data but is noise-sensitive, especially in low-data scenarios. In this work, we introduce an advanced method that integrates group sparsity thresholds with Earth Mover's distance-based similarity measures in order to enhance the robustness of identifying nonlinear dynami