Phasically active sensory systems commonly influence rhythmic motor activity via synaptic actions on the relevant circuit and/or motor neurons. Using the crab stomatogastric nervous system (STNS), we identified a distinct synaptic action by which an identified proprioceptor, the gastropyloric muscle stretch receptor (GPR) neuron, regulates the gastric mill (chewing) motor rhythm. Previous work ...

Background: The Global Postural Re-education (GPR) method has been widely used in clinical practice, with reported benefits for prevention and rehabilitation of musculoskeletal dysfunctions. In parallel with almost two decades of clinical implementation, research studies have tested and verified the effectiveness of GPR in treating different clinical conditions and have also compared this metho...

Soils are three-dimensional (3D) natural bodies conSlStmg of unconsolidated mineral and organic materials that form a continuous blanket over most of the earth's land sUlface. At all scales of measurements, soils are exceedingly complex and variable in bio logical, chemical, physical, mineralogical, and electromagnetic properties. These properties influence the propaga tion velocity, attenuatio...

We examine the effect of a health plan's pay for performance incentives on the percentage of outpatient drug prescriptions that are filled with generic rather than brand-name drugs in physicians' practices in an established physician network - the generic prescription rate (GPR). The financial reward was based on the performance of the entire network, but the network implemented rewards at the ...

Time-Lapse Ground Penetrating Radar (GPR) was employed to study used engine oil (UEO) contamination of sandy environment in laboratory setting. GPR is a near-surface geophysical methods that uses electromagnetic fields provide image the dielectric properties earth materials detect structures and changes within subsurface. This research aimed detect, monitor map migration UEO contaminant sand. T...

This paper presents an automatic feature recognition method based on center-surround difference detecting and fuzzy logic that can be applied in ground-penetrating radar (GPR) image processing. Adopted center-surround difference method, the salient local image regions are extracted from the GPR images as features of detected objects. And fuzzy logic strategy is used to match the detected featur...

Gaussian process regression (GPR) is a powerful non-linear technique for Bayesian inference and prediction. One drawback is its O(N) computational complexity for both prediction and hyperparameter estimation for N input points which has led to much work in sparse GPR methods. In case that the covariance function is expressible as a tensor product kernel (TPK) and the inputs form a multidimensio...

Natural sounds such as speech contain multiple levels and multiple types of temporal modulations. Because of nonlinearities of the auditory system, however, the neural response to multiple, simultaneous temporal modulations cannot be predicted from the neural responses to single modulations. Here we show the cortical neural representation of an auditory stimulus simultaneously frequency modulat...

Hilbert Huang Transform is a new developed method for signal processing especially suitable for non-stationary signal processing. In this paper, we propose a two dimensional Hilbert-Huang Transform based on Bidimensional Empirical Mode Decomposition (BEMD) and quaternionic analytic signal. Bidimensional Empirical Mode Decomposition is adaptive signal decomposition method and its decomposition r...