Despite the growing interest of scholars and policymakers to better understand the determinants for researchers in public science to transfer knowledge and technology to firms, little is known how temporary international mobility of scientists affects both their propensity to engage in knowledge and technology transfer (KTT) as well as the locus of such transfer. Based on a sample of more than 950 German academics from science and engineering faculties, we investigate how the duration and the frequency of scientists' visits at research institutions outside their home country affect KTT activities. We find that most mobile scientists engage in KTT to firms both in the host and in their home country, suggesting that KTT activities to firms abroad do not substitute or crowd out, but complement KTT to firms in the home country. We further find that the longer research visits abroad are, the higher the likelihood that scientists engage in KTT to firms, again both in the host and the home country. However, the more frequently scientists visit institutions abroad, the more likely they are to engage in KTT to firms only in their home country. Our results therefore provide evidence for the benefits of "brain circulation". The article contributes to the growing strand of literature on scientist mobility and on the determinants of industry-science linkages at the individual level.

Male-pattern baldness (MPB) is a common and highly heritable trait characterized by androgen-dependent, progressive hair loss from the scalp. Here, we carry out the largest GWAS meta-analysis of MPB to date, comprising 10,846 early-onset cases and 11,672 controls from eight independent cohorts. We identify 63 MPB-associated loci (P<5 × 10−8, METAL) of which 23 have not been reported previously. The 63 loci explain ∼39% of the phenotypic variance in MPB and highlight several plausible candidate genes (FGF5, IRF4, DKK2) and pathways (melatonin signalling, adipogenesis) that are likely to be implicated in the key-pathophysiological features of MPB and may represent promising targets for the development of novel therapeutic options. The data provide molecular evidence that rather than being an isolated trait, MPB shares a substantial biological basis with numerous other human phenotypes and may deserve evaluation as an early prognostic marker, for example, for prostate cancer, sudden cardiac arrest and neurodegenerative disorders.

Supplementary data are available at Bioinformatics online.