Microsatellite (simple sequence repeats, SSRs) marker is one of the most widely used markers in marker-assisted breeding. As one type of functional markers, MicroRNA-based SSR (miRNA-SSR) markers have been exploited mainly in animals, but the development and characterization of miRNA-SSR markers in plants are still limited. In the present study, miRNA-SSR markers for Medicago truncatula (M. tru...

We present a real space density functional theory localized basis set semiempirical pseudopotential SEP approach. The method is applied to iron and magnesium oxide, where bulk SEP and local spin density approximation band structure calculations are shown to agree within approximately 0.1 eV. Subsequently we investigate the qualitative transferability of bulk derived SEPs to Fe/MgO/Fe tunnel jun...

Short time exposure (STE) test using rabbit corneal cell line (SIRC) cells was developed as an alternative eye irritation test. STE test uses relative viability as the endpoint after cells are exposed to the test material at constant concentrations for 5 min. In this inter-laboratory study with 3 laboratories, 44 chemicals with a wide range of classes were evaluated for the transferability, bet...

Human height is the prototypical polygenic quantitative trait. Recently, several genetic variants influencing adult height were identified, primarily in individuals of East Asian (Chinese Han or Korean) or European ancestry. Here, we examined 152 genetic variants representing 107 independent loci previously associated with adult height for transferability in a well-powered sample of 1,016 unrel...

After graduation many students start working in sectors not related to their field of study and participate in training targeted at work in other sectors. In this paper we analyze this sectoral mobility after graduation. We develop a model in which students accumulate partially transferable human capital but also learn about their vocational preferences at university and during the first years ...

Graph neural networks (GNNs) are information processing architectures for signals supported on graphs. They presented here as generalizations of convolutional (CNNs) in which individual layers contain banks graph filters instead classical filters. Otherwise, GNNs operate CNNs. Filters composed pointwise nonlinearities and stacked layers. It is shown that GNN exhibit equivariance to permutation ...