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Electromagnetic degrees of freedom are instrumental in antenna design, wireless communications, imaging, and scattering. A large number of degrees of freedom enhance control in antenna design, influencing radiation patterns and directivity, while in communication systems, it links to spatial channels for increased data rates, reliability, and resolution in imaging. The correlation between computed
Background: To support care after discharge following surgery for anorectal malformations (ARM) and Hirschsprung's disease (HD), an eHealth device was invented, offering families bilateral communication through chat, photo, questionaries and video. Aim: To explore the impact of eHealth on postoperative patterns of expert consultation, complications and treatment after discharge following surgery f
An optimal control problem on finite-dimensional positive cones is stated. Under a critical assumption on the cone, the corresponding Bellman equation is satisfied by a linear function, which can be computed by convex optimization. A separate theorem relates the assumption on the cone to the existence of minimal elements in certain subsets of the dual cone. Three special cases are derived as examp
Cybersecurity has in recent years emerged as a paramount concern in the design and operation of industrial systems and civil infrastructures, due mainly to their susceptibility to malicious cyber attacks which take advantage of the vulnerability of communication networks and IT devices. In this paper, we investigate such an attack and counter attack scenario by considering multiagent systems, a so
Background: Combination lipid-lowering therapy (LLT) after myocardial infarction (MI) achieves lower low-density lipoprotein cholesterol (LDL-C) levels and better cardiovascular outcomes vs statin monotherapy. As a result, global guidelines recommend lower LDL-C but, paradoxically, advise treatment through a stepwise approach. Yet the need for combination therapy is inevitable as <20% of patients
Background Increased postoperative cardiac troponin (cTn) independently predicts short-term mortality. Previous studies suggest that preoperative cTn also predicts major adverse cardiovascular events (MACE) and mortality after noncardiac surgery. The value of preoperative and perioperative changes in cTn as a prognostic tool for adverse outcomes has been sparsely investigated. Methods and findings
The assignment of products to storage locations significantly impacts the efficiency of warehouse operations. We propose a multi-phase optimizer for a Storage Location Assignment Problem (SLAP) where solution quality is based on a distance estimate of future-forecasted order picking. Candidate assignments are first sampled using a Markov Chain accept/reject method. Future-forecasted pick-rounds ar
Företagsobligationsmarknaden utgör en viktig del av Sveriges kapitalmarknad och har under de senaste åren upplevt en betydande tillväxt. Genom att emittera företagsobligationer har företag möjlighet att inbringa kapital till sin verksamhet, medan investerare erhåller avkastning. En nyckelaktör i denna process är arrangören, som utses av emittenten för att leda projektet. Arrangören spelar en avgörThe corporate bond market is an important part of Sweden's capital market and has experienced significant growth in recent years. By issuing corporate bonds, companies can raise capital for their operations, while investors receive a financial return. A key element in this process is the arranger, who is appointed by the issuer to manage the project. The arranger plays a crucial role, particul
Trafikverket är enligt Järnvägssäkerhetslag (2022:367), 2 kap., 2 § skyldigt att ha ett säkerhetsstyrningssystem. Säkerhetsstyrningssystemet ska utformas så att de risker som verksamheten kan ge upphov till kan hanteras det vill säga att identifiera, analysera och utvärdera risker som är relevanta för, i detta fall järnvägstunnlar. För att tillgodose kraven i ett praktiskt sammanhang behövs någon
Background: Magnetic resonance imaging (MRI) is recommended by guidelines to evaluate the severity of brain ischemia after cardiac arrest for functional outcome prediction. However, standardized assessment criteria are lacking. We have developed a semi-quantitative Cardiac Arrest Brain Ischemia (CABI) score to assess the extension of brain ischemia on MRI. Objectives: To evaluate the prognostic pe
Background: The routine use of sedation and analgesia during post-cardiac arrest care and its association with clinical outcomes remain unclear. This study aimed to describe the use of sedatives and analgesics in post-cardiac arrest care, and evaluate associations with good functional outcome, survival, clinical seizures, and late awakening. Methods: This was a post hoc analysis of the TTM2-trial,
Small independent (indie) game startups face fierce competition when developing games with limited time, budget, and resources. Continuously testing and experimenting with new ideas, features, and content is essential to validate and guide development toward a viable and successful game. Such continuous experimentation (CE) requires access to users and user data, which is often very limited in the
Realistic representation of atmospheric aerosol size distribution dynamics in large-scale climate models is important for developing accurate descriptions of aerosol-cloud interactions. Despite the dynamic nature of the distributions, which have large seasonal and diurnal changes, model evaluations often focus on the annual median size distribution. Using more comprehensive monthly and diurnal mod
The Hunga Tonga eruption on 15 January 2022 (HT-22) induced vigorous volcano–sea interaction. Here we study the stratospheric aerosol and water vapor resulting from the eruption using satellite-based instruments: the CALIOP lidar and the Microwave Limb Sounder (MLS). We investigate the stratospheric relative humidity following the record-breaking water vapor injections from the HT-22 eruption and
The topic of this thesis is how to infer geometric information using sound data. Achieving this requires solving several subproblems. First, signal processing of the recorded sound is needed to compute measurements of primitive geometric relations. Secondly, robust estimation is needed to go from primitive geometric measurements to more useful higher-level information such as the locations of micr
Context: Continuous experimentation (CE) is used by many companies with internet-facing products to improve their business models and software solutions based on user data. Some companies deliberately adopt a systematic experiment-driven approach to software development while some companies use CE in a more ad-hoc fashion. Objective: The goal of this study is to identify factors for success in CE
This study develops a strategic framework to guide the adoption of Industry 4.0 technologies across various business sectors. Using a mixed-methods approach, the research combines an extensive literature review with empirical investigations, including case studies and surveys with industry practitioners. The framework integrates advanced digital technologies, such as artificial intelligence and im
Ground-level ozone (O3), formed via complex photochemistry involving nitrogen oxides (NOx) and volatile organic compounds (VOCs), is a critical secondary pollutant and oxidant. Therefore, understanding whether the formation of O3 is NOx- or VOC-limited is essential for effective air quality management. Recently, we demonstrated that the distribution of highly oxygenated organic molecules (HOMs) ca
The proof of the pudding lies in eating, and that is why 6G testbeds are essential in the progress toward the next generation of wireless networks. Theoretical research toward 6G wireless networks proposes advanced technologies to serve new applications and drastically improve energy performance. Testbeds are indispensable to validate these new technologies under more realistic conditions. This ar
Distributed massive MIMO systems are expected to be part of the upcoming generation of wireless systems where joint communication and positioning opens the possibility of exploring new applications. In this work we investigate one of the various ways of deploying these kinds of systems, through the concept of Large Intelligent Surfaces (LISs). Although the concept of LISs is not completely novel,
