Dense oceanic overflows mix with surrounding waters along the descent down the continental slope. The existing parameterizations for entrainment in dense currents account primarily for the shear-induced entrainment at the interface between the dense flow and the ambient fluid. However, the turbulence generated by roughness elements at the bottom boundary, which produces an enhanced drag, can be...

Memory-based collaborative filtering is the most popular approach to build recommender systems. Despite its success in many applications, it still suffers from several major limitations, including data sparsity. Sparse data affect the quality of the user similarity measurement and consequently the quality of the recommender system. In this paper, we propose a novel user similarity measure based...

Sparse principal component analysis is a very active research area in the last decade. It produces component loadings with many zero entries which facilitates their interpretation and helps avoid redundant variables. The classic factor analysis is another popular dimension reduction technique which shares similar interpretation problems and could greatly benefit from sparse solutions. Unfortuna...

The “Black Thursday” crisis in cryptocurrency markets demonstrated deleveraging risks over-collateralized noncustodial stablecoins. We develop a stochastic model that helps explain crises these systems. In our model, the stablecoin supply is decided by speculators who optimize profitability of leveraged position while incorporating forward-looking cost collateral liquidations, which involves en...

Putative activity of hydroalcoholic and aqueous infusion extracts of Echium amoenum L. was investigated in mice using the rotarod model of motor coordination and the elevated plus maze model of anxiety. The extracts were administered intraperitonealy (i.p.) once, one hour before performing the tests. Preliminary phytochemical study of the plant, with standard procedures, showed that it contains...