Recently, several studies have proposed methods to utilize some classes of optimization problems in designing deep neural networks encode constraints that conventional layers cannot capture. However, these are still their infancy and require special treatments, such as the analysis Karush–Kuhn–Tucker (KKT) condition, derive backpropagation formula. In this paper, we propose a new formulation ca...

The wrist is a common fracture site for both young and older adults. The purpose of this study was to compare wrist kinematics in backward and forward falls with different fall protective responses. We carried out within-subject comparison of impact velocities and maximum velocities during descent of the distal radius among three different fall configurations: (a) backward falls with knees flex...

Selecting appropriate features has become a key task when dealing with high-dimensional data. We present a new algorithm designed to find an optimal solution for classification tasks. Our approach combines forward selection, backward elimination and exhaustive search. We demonstrate its capabilities and limits using artificial and real world data sets. Regarding artificial data sets interleavin...

Decisions are powerfully affected by anticipated regret, and people anticipate feeling more regret when they lose by a narrow margin than when they lose by a wide margin. But research suggests that people are remarkably good at avoiding self-blame, and hence they may be better at avoiding regret than they realize. Four studies measured people’s anticipations and experiences of regret and self-b...