Identification of medical conditions using claims data is generally conducted with algorithms based on subject-matter knowledge. However, these claims-based algorithms (CBAs) are highly dependent on the knowledge level and not necessarily optimized for target conditions. We investigated whether machine learning methods can supplement researchers' knowledge of target conditions in building CBAs. Re

Objectives: Previous research suggests that governments usually gain support during crises such as the Covid-19. However, these findings are based on rating scales that only allow us to measure the strength of this support. This article proposes a new measure of how voters evaluate Prime Ministers (PM) by asking for descriptive keywords that are analyzed by natural language processing.Methods: By

The purpose of this study was to investigate one-year changes and differences in changes in activities of daily living (ADL), usability, a history of falls, concerns about falling, and self-rated health across five housing adaptation (HA) client profiles identified previously using a cluster analysis approach: older adults with low level of disability (n = 59); older adults with medium/high level

The response of mortality to short-term changes in real wages is analyzed here not just in its own right but more particularly as an indicator of long-term shifts in the general standard of living. It is hypothesized that the response would have been stronger the lower the standard of living. The relationship between age-specific mortality levels and real-wage series for Sweden 1751–1860 is analyz

Catalytic conversion of CO2 to CO using reverse water gas shift (RWGS) reaction is a key intermediate step for many CO2 utilization processes. RWGS followed by well-known synthesis gas conversion may emerge as a potential approach to convert CO2 to valuable chemicals and fuels. Nickel (Ni) based catalysts with ceria-zirconia (Ce-Zr) support can be used to tune the metal-support interactions, resul

Over recent years Genuine Savings (GS) has emerged as an indicator for weak sustainability and predictor of socio-economic well-being. This paper presents the first long-term GS estimates for Norway, covering the period from 1865 until 2019. The preliminary results indicate unsustainable development throughout most of the period leading up to the Second World War and sustainable development ever s

Time-triggered real-time systems achieve deterministic behavior using schedules that are constructed offline, based on scheduling constraints. Their deterministic behavior makes time-triggered systems suitable for usage in safety-critical environments, like avionics. However, this determinism also allows attackers to fine-tune attacks that can be carried out after studying the behavior of the syst

Vi står inför betydande demografiska förändringar, där en åldrande befolkning och urbanisering är två globala trender som präglar våra samhällen. I framtiden väntas åldersstrukturerna att fortsätta förändras, med störst ökning i gruppen äldre. Möjligheterna för äldre personer att bo kvar i sin bostad har samtidigt kommit att bli en viktig utgångspunkt.Forskare lyfter fram äldre personer i rurala o

Att människor upplever sig trygga när de ska resa med kollektivtrafiken kan vara betydande i motiverandet av att resa kollektivt och angeläget för skapandet av goda livsmiljöer. Känslor av otrygghet kan leda till begränsningar i individers dagliga mobilitet, och samtidigt innebära att människor väljer bort att åka kollektivt eller kanske bara reser vid vissa tidpunkter på dygnet. Företrädare för k

The event-by-event correlations between three flow amplitudes are measured for the first time in Pb-Pb collisions, using higher-order symmetric cumulants. We find that different three-harmonic correlations develop during the collective evolution of the medium when compared to correlations that exist in the initial state. These new results cannot be interpreted in terms of previous lower-order flow