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This article will discuss the influence of scale-free networks on my 1 sonata (Sélection, 5th Dutilleux International Composition Compétition, 2003) for piano. An important feature of scale-free networks is that they are regulated by a small number of important nodes/hubs that are connected to many other sites. Following a power law distribution, research has found that a majority of nodes have on
Quantitative multi-parametric MRI measurements provide reproducible metrics of the MR properties of water to characterize brain tissue. The available parameters are determined by the acquisition protocols. These commonly utilize multiple spin-echo sequences, steady-state sequences of gradient-recalled echoes at variable flip angles or echo-planar images, besides novel non-repetitive acquisitions.
Dynamic glucose-enhanced (DGE) magnetic resonance imaging (MRI) has shown potential for tumor imaging using D-glucose as a biodegradable contrast agent. The DGE signal change is small at 3 T (around 1 and accurate detection is hampered by motion. The intravenous D-glucose injection is associated with transient side effects that can indirectly generate subject movements. In this study, the aim was
This video presents what seems to be an unreported multiphonic harmonic on the vibraphone. For the vibraphone, a common technique in contemporary literature features the isolation and production of a single harmonic (h04) in the lower octave. However, through experiments by Olaf Tzschoppe (DE) and Michael Edgerton (SE) on the vibraphone, an unreported multiphonic was found on the lowest thirteen b
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
This doctoral thesis explores the phenomenon of choice awareness through an interdisciplinary framework grounded in cognitive semiotics. Combining phenomenological philosophy with empirical investigations, the thesis examines how awareness of choice manifests across different levels of consciousness and within diverse semiotic systems. Papers 1 to 3 present experimental studies using choice manipu
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
