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BACKGROUND: The International Outcome Inventory for Hearing Aids (IOI-HA) is a seven-item hearing-specific questionnaire. It was developed with the purpose of evaluating the efficacy of hearing aid rehabilitation. Few psychometric properties have been presented for a Swedish translation of the IOI-HA. Furthermore, previous studies have examined the IOI-HA in mainly sensorineural hearing losses, an

We will discuss the evolution of star clusters with a large initial binary fraction, up to 95%. The initial binary population is chosen to follow the invariant orbital-parameter distributions suggested by Kroupa (1995). The Monte Carlo MOCCA simulations of star cluster evolution are compared to the observations of Milone et al. (2012) for photometric binaries. It is demonstrated that the observed

Anisotropy of gravitational wave (GW) emission results in a net momentum gained by the black hole (BH) merger product, leading to a recoil velocity up to ∼103 km s−1, which may kick it out of a globular cluster (GC). We estimate GW kick retention fractions of merger products assuming different models for BH spin magnitude and orientation. We check how they depend on BH–BH merger time and propertie

The article explores how the legacy of ancient Rome served the creative vision of the future found in the british comic Judge Dredd, firstpublished in 1977. The article argues that Judge Dredd appropriated motifs from Roman history to help establish the framework of the future and that the comic’s satirical tone was aided by these allusions to the classical world. The article concludes that the in

Dense stellar systems in general and star clusters in particular have recently regained the interest of the extragalactic and even cosmology communities, due to the role they could play as actors and probes of re-ionization, galactic archeology and the dark matter content of galaxies, among many others. In the era of the exploitation and the preparation of large stellar surveys (Gaia, APOGEE, 4MOS

Machine learning is a powerful technique, becoming increasingly popular in astrophysics. In this paper, we apply machine learning to more than a thousand globular cluster (GC) models simulated with the mocca-Survey Database I project in order to correlate present-day observable properties with the presence of a subsystem of stellar mass black holes (BHs). The machine learning model is then applied

Molecular-level computer simulations of peptide aggregation, translocation, and protonation at and in biomembranes are impeded by the large time and length scales involved. We present a computationally efficient, coarse-grained, and solvent-free model for the interaction between lipid bilayers and peptides. The model combines an accurate description of mechanical membrane properties with a new gra