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Insights from an intervention of a performance measurement system covering all change steps : The paradox of informed change leadership passivity
This intervention-based action research study describes the design, implementation, use and evaluation of an artefact, a performance measurement system (PMS), for change initiatives. The longitudinal (6-year) research study covers all three steps of planned change—change readiness, implementation, and institutionalisation. The PMS worked well, delivering valid and reliable measurements and informa
A strategic perspective on automated warehouse systems in retail : Insights from a multiple case study
PurposeAs the warehouse is increasingly viewed as a strategic component, retailers’ willingness to invest in automated warehouse systems (AWS) has increased. These investment decisions are influenced by well-known operational factors, but strategic factors, which have received limited attention in warehousing literature, also play a pivotal role. Addressing this gap, this study investigates how st
Towards Zero Bottlenecks for Scaling Autonomous Driving
In this dissertation I examine the main scaling challenges in autonomous driving development, discussing recent advances in the field while contributing specific solutions to key bottlenecks. The first challenge is the reliance on human labor, particularly for annotations. Here we make two key contributions: new techniques to extract additional value from existing annotations through future predic
Zenseact Open Dataset : A large-scale and diverse multimodal dataset for autonomous driving
Existing datasets for autonomous driving (AD) often lack diversity and long-range capabilities, focusing instead on 360° perception and temporal reasoning. To address this gap, we introduce Zenseact Open Dataset (ZOD), a large- scale and diverse multimodal dataset collected over two years in various European countries, covering an area 9×that of existing datasets. ZOD boasts the highest range and
NeuroNCAP : Photorealistic Closed-Loop Safety Testing for Autonomous Driving
We present a versatile NeRF-based simulator for testing autonomous driving (AD) software systems, designed with a focus on sensor-realistic closed-loop evaluation and the creation of safety-critical scenarios. The simulator learns from sequences of real-world driving sensor data and enables reconfigurations and renderings of new, unseen scenarios. In this work, we use our simulator to test the res
In Search of Modern Heritage in Turkey : Notes from November 2024
Gunnar Broberg *5/9 1942 †30/4 2022
The promise of community-driven preprints in ecology and evolution
Publishing preprints is quickly becoming commonplace in ecology and evolutionary biology. Preprints can facilitate the rapid sharing of scientific knowledge establishing precedence and enabling feedback from the research community before peer review. Yet, significant barriers to preprint use exist, including language barriers, a lack of understanding about the benefits of preprints and a lack of d
From Policy to Practice: : Progress towards Data- and Code-Sharing in Ecology and Evolution
High quality research data and analytical code are essential for ensuring the credibility of scientific results, are key research outputs, and are crucial elements to facilitate reproducibility. However, in ecology and evolution (E&E) in particular, it is currently unknown how many journals have policies on data- and code-sharing for peer review purposes, or upon manuscript acceptance. Further
Enhancing Knock Detection and Combustion Diagnostics : A Machine Learning Approach with Ion Current Sensors
Achieving robust and efficient control of internal combustion engines is critical for meeting stringent environmental regulations and reducing greenhouse gas emissions. Natural gas engines, in particular, offer significant potential for cleaner energy but present unique challenges due to variations in fuel composition and combustion dynamics.This thesis investigates novel methods for improving com
The Course as a Scientific Conference : Socialisation and Uncoverage in the Master’s Programme Religious Roots of Europe
In this paper, we discuss the pedagogical concepts of socialisation and uncoverage and the theoretical perspective of metanarratives on history and historical concepts as tools to integrate the students of the online Master’s programme Religious Roots of Europe into the practice of the historical study of religion. We describe how we worked in facilitating the typical learning processes and social
Till kejsarens försvar
anmälan av Dorothy L. Sayers, Kejsar Konstantin och konciliet I Nicaea – ett krönikespel, övers. Margareta Murray-Nyman, Skellefteå: Artos 2023
Ritual Fields and Participation in the Alevi Festival in Hacıbektaş
ESSD–ESGAR best practice position statements on the technical performance of videofluoroscopic swallowing studies in adult patients with swallowing disorders
Objectives: Videofluoroscopic swallowing studies (VFSS) remain the gold standard for the instrumental assessment of oropharyngeal swallowing disorders alongside flexible endoscopic evaluation of swallowing (FEES), requiring a high standard of quality and correct implementation. The current best practice position statements aim to guide the clinical practice of VFSS in individuals experiencing swal
Alevi Historiography and the Turkish Republic
Virtual imaging trials in medicine : A brief takeaway of the lessons from the first international summit
Background: The rapid advancement of medical technologies presents significant challenges for researchers and practitioners. While traditional clinical trials remain the gold standard, they are often limited by high costs, lengthy durations, and ethical constraints. In contrast, in-silico trials and digital twins have emerged not only as efficient and ethical alternatives but also as a complementa