The major challenge of tissue engineering is directing the cells to establish the physiological structure and function of the tissue being replaced across different hierarchical scales. To engineer myocardium, biophysical regulation of the cells needs to recapitulate multiple signals present in the native heart. We hypothesized that excitation-contraction coupling, critical for the development and function of a normal heart, determines the development and function of engineered myocardium. To induce synchronous contractions of cultured cardiac constructs, we applied electrical signals designed to mimic those in the native heart. Over only 8 days in vitro, electrical field stimulation induced cell alignment and coupling, increased the amplitude of synchronous construct contractions by a factor of 7, and resulted in a remarkable level of ultrastructural organization. Development of conductive and contractile properties of cardiac constructs was concurrent, with strong dependence on the initiation and duration of electrical stimulation.contraction ͉ excitation ͉ tissue engineering ͉ ultrastructure ͉ heart

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or in hostile the Arctic make a small ing AUVs. This paper V, and presents the results of 11, the second generation Qf Arctic.

A great variety of marine animals navigate using chemical signals to locate food sources, mates and spawning grounds. The sensory systems and behaviors exhibited by these animals are well adapted for robust operations in turbulent and chemically complex environments. The algorithms used by an animal to rapidly extract guidance information from a discontinuous and complex chemical signal are presently unknown and are the topic of current research. We have developed a small benthic robot that is being used as an algorithm test bed for ideas in biological chemosensing behavior. The robot is designed to mimic the basic features of a lobster relevant to chemical sensing and associated behaviors. We present the rational for this research, the design of the vehicle and initial results.

We describe the development of the Intelligent Towing Tank, an automated experimental facility guided by active learning to conduct a sequence of vortex-induced vibration (VIV) experiments, wherein the parameters of each next experiment are selected by minimizing suitable acquisition functions of quantified uncertainties. This constitutes a potential paradigm shift in conducting experimental research, where robots, computers, and humans collaborate to accelerate discovery and to search expeditiously and effectively large parametric spaces that are impracticable with the traditional approach of sequential hypothesis testing and subsequent train-and-error execution. We describe how our research parallels efforts in other fields, providing an orders-of-magnitude reduction in the number of experiments required to explore and map the complex hydrodynamic mechanisms governing the fluid-elastic instabilities and resulting nonlinear VIV responses. We show the effectiveness of the methodology of “explore-and-exploit” in parametric spaces of high dimensions, which are intractable with traditional approaches of systematic parametric variation in experimentation. We envision that this active learning approach to experimental research can be used across disciplines and potentially lead to physical insights and a new generation of models in multi-input/multi-output nonlinear systems.