MoDALAS: addressing assurance for learning-enabled autonomous systems in the face of uncertainty.

Increasingly, safety-critical systems include artificial intelligence and machine learning components (i.e., learning-enabled components (LECs)).

Generation of LexA enhancer-trap lines in Drosophila by an international scholastic network.

Conditional gene regulation in Drosophila through binary expression systems like the LexA-LexAop system provides a superb tool for investigating gene and tissue function. To increase the availability of defined LexA enhancer trap insertions, we present molecular, genetic, and tissue expression studies of 301 novel Stan-X LexA enhancer traps derived from mobilization of the index SX4 line. This includes insertions into distinct loci on the X, II, and III chromosomes that were not previously associated with enhancer traps or targeted LexA constructs, an insertion into ptc, and seventeen insertions into natural transposons.

The Effectiveness of Dance Therapy as an Adjunct to Rehabilitation of Adults With a Physical Disability.

To determine the added benefit on participants' mobility and participation of a 12-week dance therapy (DT) intervention combined with usual physical rehabilitation for adults with varied physical disabilities. Their appreciation of DT was also explored. We conducted a quasi-experimental study pre-post test with a nonequivalent control group and repeated measurements pre, post, and at a 3-month follow-up.

Exploring Bipedal Hopping through Computational Evolution.

Bipedal hopping is an efficient form of locomotion, yet it remains relatively rare in the natural world. Previous research has suggested that the tail balances the angular momentum of the legs to produce steady state bipedal hopping. In this study, we employ a 3D physics simulation engine to optimize gaits for an animat whose control and morphological characteristics are subject to computational evolution, which emulates properties of natural evolution.