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Methamphetamine (METH), a commonly abused psychostimulant, has been shown to induce neuronal damage by causing reactive oxygen species (ROS) formation, apoptosis and autophagy. Taurine (2-aminoethanesulfonic acid) is involved in several physiological actions in the brain, including neuroprotection, osmoregulation and neurotransmission. In this study, we(More)
Rectal cancer is one of the most prevalent tumor types. Understanding the metabolic profile of rectal cancer is important for developing therapeutic approaches and molecular diagnosis. Here, we report a metabonomics profiling of tissue samples on a large cohort of human rectal cancer subjects (n = 127) and normal controls (n = 43) using 1H nuclear magnetic(More)
The biomarker identification of human esophageal cancer is critical for its early diagnosis and therapeutic approaches that will significantly improve patient survival. Specially, those that involves in progression of disease would be helpful to mechanism research. In the present study, we investigated the distinguishing metabolites in human esophageal(More)
This paper presents a novel information value function that can be used in online sensor planning to monitor a spatial phenomenon in which the spatial phenomenon is modeled by nonparametric Gaussian processes. The information value function is derived from the Kullback-Leibler (KL) divergence and represents the information value brought by sensor decision.(More)
In some virtual reality (VR) systems, OpenGL intercept methods are used to capture and render a desktop application's OpenGL calls within an immersive display. These systems often suffer from lower frame rates due to network bandwidth limitations, implementation of the intercept routine, and in some cases, the intercepted application's frame rate. To(More)
— Several approximate dynamic programming (ADP) algorithms have been developed and demonstrated for the model-free control of continuous and discrete dynamical systems. However, their applicability to hybrid systems that involve both discrete and continuous state and control variables has yet to be demonstrated in the literature. This paper presents an ADP(More)
—This paper presents an information potential method for integrated path planning and control. The method is applicable to unicycle robotic sensors deployed to classify multiple targets in an obstacle-populated environment. A new navigation function, referred to as information potential, is generated from the target conditional mutual information, and used(More)
— This paper presents a visibility-based method for planning the motion of a mobile robotic sensor with bounded field-of-view to optimally track a moving target while localizing itself. The target and robot states are estimated from online sensor measurements and a set of a priori known landmarks, using an extended Kalman filter (EKF), and thus the proposed(More)
Fig. 1. Using ML2VR, a MATLAB user transitions from viewing a 3D surface plot on a desktop computer (left) to viewing and interacting with the plot in a virtual reality system (right). ABSTRACT—MATLAB is a popular computational system and programming environment that is used in numerous engineering and science programs in the United States. One feature of(More)