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Wellbefy is a company that offers its customers a digital platform with the goal to increase wellbeing at workplaces. Through their platform and their users, they are obtaining data connected to areas in which problems often occur, such as sleep or stress. The platform can be used by anyone working at a company, from the boss to an employee. The problem with the current platform is that it can on
Even though the eclectic paradigm was founded approximately 50 years ago, it remains among the leading frameworks for firms determining whether to engage in foreign direct investment (FDI). The framework asserts that multinational companies (MNCs) only will engage in FDI if they have ownership, location, and internalization advantages. There is currently a research gap pertaining to if there are a
Detta arbete utgör magisterexamensarbete inom utveckling av betongstommar i flervånings- hus. Under de senaste åren har allt större intresse fokuserats på byggsektorns låga produktivitetsutveckling, höga kostnader, byggnadsvård, oförmåga att ta till sig befintlig kunskap och dåliga lönsamhet. Några stora byggprojekt har dessutom fått stort utrymme i media till följd av bl.a. omfattande byggfel. De
Robotic Process Automation är en teknologi som växt fram under de senaste åren som ett framgångs- rikt sätt göra kostnadsbesparingar. Flera företag har påbörjat införanden av RPA men det är inte helt problemfritt och flera projekt misslyckas. Utmaningar kopplat till vad som bör automatiseras, var RPA ska ligga i organisationen och hur man hanterar förändringsmotstånd är några av de aspekter som ka
The observed and expected changes in the environment due to human actions implies risks that future food production will be insufficient. Pre- dicting the impact these changes have on the agricultural system could be beneficial by allowing for proactive mitigating efforts. The prediction of these impacts often involve large computer programs that simulate the behavior of the environment. By implem
Under de senaste åren har den ökande oro för de miljöförödande konsekvenserna av konvent-ionell plast lett till ett ökat intresse för biobaserade och biologiskt nedbrytningsbara plaster. Som förnybara råvaror för dessa plaster har jordbruksbiprodukter framlagts som en lovande källa. Denna studie undersöker olika jordbruksbiprodukter som potentiella råmaterial för biologiskt nedbrytbar plats. DettaIn recent years, concerns about the damaging environmental effects of conventional plastics have surged, by which biobased and biodegradable plastics have been promoted as a favour-able alternative. Agricultural side streams have been proposed as a potential feedstock for extracting components for new compostable polymers. The present study investigates agri-cultural side streams for raw material
Non-linear transceivers and non-reciprocity of downlink and uplink channels are two major challenges in the deployment of massive multiple-input-multiple-output (MIMO) systems. We consider an over-the-air (OTA) approach for digital pre-distortion (DPD) and reciprocity calibration to jointly address these issues. In particular, we consider a memory-less non-linearity model for the base station (BS)
Despite extensive research on Quality-of-Services (QoS) analysis of 5G networks, practical applications remain limited. This gap may be attributed to the lack of available tools and the complexity of developing or configuring technical systems to implement theoretical approaches. To address this, we developed an edge control system within a private 5G base station, utilizing Precision Time Protoco
The compositions of alternative jet fuels can vary radically, and the consequences of these differences are a subject of ongoing investigation. Numerical combustion simulations are vital to this research and require chemical reaction mechanisms that efficiently and accurately capture the chemical pathways of combustion. Here, we present the recently developed Z79 collection of small pathway-centri
Ribbed channel flows play a crucial role in various engineering systems where turbulence enhancement and improved heat transfer are required, such as in turbine blade cooling and combustor wall applications. Numerical simulations have emerged as an essential tool for analyzing the intricate turbulence dynamics and flow separation phenomena, which are fundamental for optimizing the channel performa
Background: Treatment with antihypertensives in patients with advanced cancer is often continued until very late in the disease trajectory, despite a considerable risk of hypotension. Objectives: The aim of this study was to investigate the time of deprescribing of antihypertensive agents in patients with cancer receiving palliative care during their last year of life. The monitoring of blood pres
Federated Learning (FL) enables decentralized training of neural networks across multiple hospitals or patients while preserving data privacy. However, FL schemes typically assume data is independent and identically distributed (IID) while healthcare data can be highly heterogeneous. To address this, we propose Interpretable Personalized Federated Learning (IPFL), a novel framework that allows pat
Co-speech head and eyebrow gestures often align with pitch accents in spoken language production, thereby likely instantiating what we could refer to as multimodal prominence. Indeed, when speech is perceived audio-visually, controlled experimental studies have shown that both pitch accents and head and eyebrow gestures, when independently manipulated, have sizable effects on perceived prominence.
The use of large language models (LLMs) is being explored for a multitude of tasks in software engineering (SE), ranging from code generation to bug report assignment. Although LLMs provide impressive results, they require more time and energy than some other machine learning models. For some tasks, simpler models may be more sustainable than LLMs. In this paper, we construct natural language clas
Accurate global estimates of accumulation-mode particle number concentrations (N100) are essential for understanding aerosol–cloud interactions and their climate effects and for improving Earth system models. However, traditional methods relying on sparse in situ measurements lack comprehensive coverage, and indirect satellite retrievals have limited sensitivity in the relevant size range. To over
We present a user study analyzing head-gaze- based robot control and foveated visual augmentation in a simulated search-and-rescue task. Results show that foveated augmentation significantly improves task performance, reduces cognitive load by 38%, and shortens task time by over 60%. Head-gaze patterns analysed over both the entire task duration and shorter time segments show that near and far att
This paper explores the dynamics of human-robot collaboration through a comparative study of human-assisted and system-assisted approaches in a search and rescue application. Leveraging virtual environments and mixed-reality interfaces, the study evaluates task performance, workload, usability, and subjective experiences of participants. Results indicate that the system-assisted approach significa
Background and Aims. While the rationale for coronavirus disease 2019 (COVID-19) vaccination is to reduce complications and overall mortality, some cardiovascular complications from the vaccine itself have been demonstrated. Myocarditis and pericarditis are recognized as rare acute adverse events after mRNA vaccines in young males, while evidence regarding other cardiovascular events remains limit
This paper introduces a novel approach for transitioning from high-granularity Ray-Tracing (RT) channel simulations to channel emulation, accompanied by an over-the-air test. The RT simulation is performed on a Vehicle-to-Vehicle (V2V) communication drive scenario generating basis for channel emulation in a channel emulator. The channel simulation, and the accompanying channel emulation, also enab
