Examination of the trade-off between mean performance and adverse impact has received empirical attention for single-stage selection strategies; however, research for multistage selection strategies is almost nonexistent. The authors used Monte Carlo simulation to explore the trade-off between expected mean performance and minority hiring in multistage selection strategies and to identify those...

Abstract The superhydrophobic characteristics and functional durability of the lotus leaf are determined by its surface flexible multistage topography. In this study, it is found that hybrid arrangement sub‐millimeter (sub‐mm) micron papillae arrays on edge leaves more conducive to resistance hydrostatic hydrodynamic water pressure, which provides a guarantee for survival leaves. Inspired speci...

Mechanism design is the study of preference aggregation protocols that work well in the face of self-interested agents. We present the first general-purpose techniques for automatically designing multistage mechanisms. These can reduce elicitation burden by only querying agents for information that is relevant given their answers to previous queries. We first show how to turn a given (e.g., aut...

Despite a recent surge of interest in database-independent peptide identifications, accurate de novo peptide sequencing remains an elusive goal. While the recently introduced spectral network approach resulted in accurate peptide sequencing in low-complexity samples, its success depends on the chance of presence of spectra from overlapping peptides. On the other hand, while multistage mass spec...

Ecologists increasingly rely on Bayesian methods to fit capture–recapture models. Capture–recapture models are used estimate abundance while accounting for imperfect detectability in individual-level data. A variety of implementations exist such models, including integrated likelihood, parameter-expanded data augmentation, and combinations those. with latent random effects can be computationall...