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This chapter offers three complementary perspectives on Annals 2. Section one identifies deceit and deception as the major theme and analyzes how this theme is developed in and connects the various narratives of the book. Section two investigates an example of Tacitus’ historiographical mode that comes to the fore in Annals 2, namely the loosening of the annalistic structure for rhetorical effect,
The first WARA Robotics Mobile Manipulation Challenge, held in December 2024 at ABB Corporate Research in Vasteras, Sweden, addressed the automation of task-intensive and repetitive manual labor in laboratory environments - specifically the transport and cleaning of glassware. Designed in collaboration with AstraZeneca, the challenge invited academic teams to develop autonomous robotic systems cap
The retail industry is transforming at an unprecedented speed and scale with the advent of omnichannel strategies, thus leading to growing concerns about its environmental impact. The purpose of this paper is to identify the requirements that affect the possibilities of obtaining environmentally sustainable omnichannels and the strategies to be used by retailers and logistics service providers (LS
Structure-from-Motion (SfM) has become a ubiquitous tool for camera calibration and scene reconstruction with many downstream applications in computer vision and beyond. While the state-of-the-art SfM pipelines have reached a high level of maturity in well-textured and well-configured scenes over the last decades, they still fall short of robustly solving the SfM problem in challenging scenarios.
Digital innovation offers promising avenues for accessible, engaging, and user-friendly training solutions, crucial for promoting safety among manufacturing workers. However, optimizing these solutions demands a profound understanding of workers’ needs and preferences in interacting with these digital systems. The ongoing “DigiSafeMan” project aims to develop a prototype of a digital training tool
Patients with dementia experience a steady deterioration in cognitive function that increases mortality and impairments. Moreover, dementia is also anticipated to increase significantly in prevalence as the world's population ages, placing a strain on healthcare systems throughout the globe. Hence, early identification and prediction of dementia are essential due to timely treatments, enhanced pat
There has been great interest in the rationales for transformative innovation policies (TIP), including those following a mission-oriented logic. However, few studies have investigated how public administration can effectively implement TIP. To study this, we first identify from existing literature four TIP governance tasks (creating legitimacy and leadership, coordination across levels/instrument
Predicting probiotic strain properties that translate into beneficial effects in the host is challenging and could be considered the holy grail in developing new probiotics. One approach is to selectively evolve well-studied probiotic strains known to elicit beneficial effects in clinical studies. In this study, Limosilactobacillus reuteri DSM 17938, among the world's most studied probiotic strain
Purpose: This investigation was designed to examine the effects of self-monitored training combined with the use of delayed auditory feedback (DAF), on the accuracy of articulation in acquired apraxia of speech (AOS). Background: The increased number of stroke survivors leads to higher societal costs when it comes to e.g., rehabilitation. Speech and language deficits post stroke can be diminished
The current paper focuses on the conceptual design and numerical analysis of a four-stage centrifugal pump for the fuel system of a turbofan engine with liquid hydrogen as fuel. Liquid hydrogen is challenging at high pressures due to its special fluid properties. The design condition for the pump is set at take-off, to raise the pressure of liquid hydrogen from 6 bars at the outlet of a low-pressu
Context. Hot Jupiters are giant planets subject to intense stellar radiation. The physical and chemical properties of their atmosphere make them the most amenable targets for atmospheric characterization. Aims. In this paper we analyze the photometry collected during the secondary eclipses of the hot Jupiter WASP-3 b by CHEOPS, TESS, and Spitzer. Our aim is to characterize the atmosphere of the pl
With increasing climate-induced stresses and ageing infrastructure worldwide, integrating sustainability into infrastructure management is essential. Structural Health Monitoring (SHM) systems provide valuable insights for assessing and maintaining the safety and integrity of ageing structures, but their implementation entails significant costs. Resources allocated to SHM could alternatively suppo
Feasibility of the promising large intelligent surface (LIS) concept, as well as its scalability, relies on the use of low-cost hardware components, raising concerns about the effects of hardware distortion. We analyze LIS systems with receive-chain (RX-chain) hardware distortion, showing how it may limit performance gains when scaling up these systems. In particular, using the memory-less polynom
Purpose: To define the curriculum content for two interactive learning courses on age-related macular degeneration (AMD): (1) an advanced course tailored for general ophthalmologists and (2) a basic course for non-ophthalmologist healthcare staff. This initiative aims to establish a national consensus on the educational framework for AMD management among general ophthalmologists in Denmark. Method
BACKGROUND: Prognostic stratification is essential for guiding treatment and follow-up in cutaneous melanoma. Previous international studies suggest that patients with localized stage IIB and IIC melanoma have poorer survival rates than those with lymph node involvement in stage IIIA. Nevertheless, Swedish guidelines still recommend less frequent follow-up for stage II than for stage III melanoma
Tattoo ink on the European market has been reported to contain many human toxicants, which has raised concerns about health effects. Clarifying the exposure distribution in the population is key to understanding potential public health implications. We investigated the prevalence of tattoos in a population-based Swedish cohort of 13 046 individuals aged 20–68 years with exposure data collected thr
Introduction: Postnatal pesticide exposure and its association with child and adolescent behavioural outcomes remain underexplored in rural agricultural settings, particularly in Africa. This study examined behavioural outcomes in relation to urinary pesticide biomarkers and contextual exposure proxies in participants from the Child health Agricultural Pesticide (CapSA) cohort, South Africa. Metho
Challenging conventional provider-oriented perspectives on older adults' spatial realities, this study explores how community-dwelling care users in Sweden manage their home environments. It investigates how older adults use the welfare system and coordinate widely available but disparate material and social resources to achieve a spatially sustainable ageing-in-place. Research on domiciliary care
We investigate public managers’ perceptions about the characteristics of global budgets and the association with perceived autonomy, using a qualitative, experiential approach. We compare and contrast differences in managers perceived autonomy associated with the use of global budgets in two large public healthcare organizations, while considering both the characteristics of other control practiceWe investigate public managers' perceptions about the characteristics of global budgets and the association with perceived autonomy, using a qualitative, experiential approach. We compare and contrast differences in managers perceived autonomy associated with the use of global budgets in two large public healthcare organizations, while considering both the characteristics of other control practice
In order to avoid extensive machine learning models selection and optimizations, Automated Machine Learning (AutoML) has arisen as a practical and efficient way to apply machine learning to many different application areas. Data poisoning is a real threat to the accuracy of machine learning models in different settings, and it has in recent research studies been shown that the usage of AutoML can
