Visual Error Augmentation for Enhancing Motor Learning and Rehabilitative Relearning

We developed a real-time controller for a 2 degree-of-freedom robotic system using xPC Target. This system was used to investigate how different methods of performance error feedback can lead to faster and more complete motor learning in individuals asked to compensate for a novel visuo-motor transformation (a 30 degree rotation). Four groups of normal human subjects were asked to reach with their unseen arm to visual targets surrounding a central starting location. A cursor tracking hand motion was provided during each reach. For one group of subjects, deviations from the ideal compensatory hand movement (i.e. trajectory errors) were amplified with a gain of 2 whereas another group was provided visual feedback with a gain of 3.1. Yet another group was provided cursor feedback wherein the cursor was rotated by an additional (constant) offset angle. We compared the rates at which the hand paths converged to the steady-state trajectories. Our results demonstrate that error-augmentation can improve the rate and extent of motor learning of visuomotor rotations in healthy subjects. We also tested this method on straightening the movements of stroke subjects, and our early results suggest that error amplification can facilitate neurorehabilitation strategies in brain injuries such as stroke

Visuomotor Learning Enhanced by Augmenting Instantaneous Trajectory Error Feedback during Reaching

We studied reach adaptation to a 30u visuomotor rotation to determine whether augmented error feedback can promote faster and more complete motor learning. Four groups of healthy adults reached with their unseen arm to visual targets surrounding a central starting point. A manipulandum tracked hand motion and projected a cursor onto a display immediately above the horizontal plane of movement. For one group, deviations from the ideal movement were amplified with a gain of 2 whereas another group experienced a gain of 3.1. The third group experienced an offset equal to the average error seen in the initial perturbations, while a fourth group served as controls. Learning in the gain 2 and offset groups was nearly twice as fast as controls. Moreover, the offset group averaged more reduction in error. Such error augmentation techniques may be useful for training novel visuomotor transformations as required of robotic teleoperators or in movement rehabilitation of the neurologically impaired

Aviation safety: An initial exploration of the feasibility of using language engineering technologies for reducing pilot-air traffic control miscommunications

This paper describes some initial investigations into the possibilities of using state-of-the-art language engineering technologies to minimise miscommunications between pilots and air traffic controllers. Despite considerable efforts to remedy this situation by providing solutions that focus almost exclusively on new proposals for making air traffic control (ATC) messages clearer and easier to understand and on better ATC communication training strategies, communication problems persist. In order to demonstrate this, we provide two examples from an aircraft accident and incident report respectively, both of which were identified as featuring communication problems between pilots and ATC. Results describe the types of miscommunication in their situational and operational contexts. It is then argued that employing automatic speech recognition (ASR) and machine translation (MT) techniques would have the potential to reduce these communication problems and hence might have contributed to preventing the accident and the incident from happening. This paper presents a snapshot of our initial work as well as thoughts on its future development, including a description of how an ASR-MT communication system might be designed and implemented into the flight deck and ATC workspaces respectively and how this system may impact on mental workload, situation awareness, and attention allocation

Pilot-controller communication issues and an initial exploration of language-engineering technologies as a potential solution

Despite considerable research into communication problems between pilots and controllers, conducted from a variety of angles, such problems continue to exist. While Barshi and Farris have recently stated that “misunderstandings occur with an alarming frequency” (Barshi and Farris 2013: 15), the data on which this quote is based stem from research published almost 35 years ago. With no current studies available that analyze the current levels of communication issues, this study therefore presents a small-scale study consisting of three independent data analyses with the aim of determining the extent to which such issues still present a problem

Cultivating Young Women\u27s Leadership for a Kinder, Braver World

There is not much research exploring leadership development and civic participation among youth, and even less among young women. Policymakers and others seeking to better serve youth in pursuit of a “kinder, braver world” should take into account the research that does exist. This research indicates that youth who engage in service to their communities learn leadership skills through civic action and may be more likely to vote and be civically engaged as adults. Youth who demonstrate leadership skills can, and should, be considered current assets to their communities

Bacterial-epithelial contact is a key determinant of host innate immune responses to enteropathogenic and enteroaggregative escherichia coli

Background: Enteropathogenic (EPEC) and Enteroaggregative (EAEC) E. coli have similar, but distinct clinical symptoms and modes of pathogenesis. Nevertheless when they infect the gastrointestinal tract, it is thought that their flagellin causes IL-8 release leading to neutrophil recruitment and gastroenteritis. However, this may not be the whole story as the effect of bacterial adherence to IEC innate response(s) remains unclear. Therefore, we have characterized which bacterial motifs contribute to the innate epithelial response to EPEC and EAEC, using a range of EPEC and EAEC isogenic mutant strains. Methodology: Caco-2 and HEp-2 cell lines were exposed to prototypical EPEC strain E2348/69 or EAEC strain O42, in addition to a range of isogenic mutant strains. E69 [LPS, non-motile, non-adherent, type three secretion system (TTSS) negative, signalling negative] or O42 [non-motile, non-adherent]. IL-8 and CCL20 protein secretion was measured. Bacterial surface structures were assessed by negative staining Transmission Electron Microscopy. The Fluorescent-actin staining test was carried out to determine bacterial adherence. Results: Previous studies have reported a balance between the host pro-inflammatory response and microbial suppression of this response. In our system an overall balance towards the host pro-inflammatory response is seen with the E69 WT and to a greater extent O42 WT, which is in fit with clinical symptoms. On removal of the external EPEC structures flagella, LPS, BFP, EspA and EspC; and EAEC flagella and AAF, the host inflammatory response is reduced. However, removal of E69 lymphostatin increases the host inflammatory response suggesting involvement in the bacterial mediated anti-inflammatory response. Conclusion: Epithelial responses were due to combinations of bacterial agonists, with host-bacterial contact a key determinant of these innate responses. Host epithelial recognition was offset by the microbe's ability to down-regulate the inflammatory response. Understanding the complexity of this host-microbial balance will contribute to improved vaccine design for infectious gastroenteritis

Multipumping flexible DSP blocks for resource reduction on Xilinx FPGAs

For complex datapaths, resource sharing can help reduce area consumption. Traditionally, resource sharing is applied when the same resource can be scheduled for different uses in different cycles, often resulting in a longer schedule. Multipumping is a method whereby a resource is clocked at a frequency that is a multiple of the surrounding circuit, thereby offering multiple executions per global clock cycle. This allows a single resource to be shared among multiple uses in the same cycle. This concept maps well to modern field-programmable gate arrays (FPGAs), where hard macro blocks are typically capable of running at higher frequencies than most designs implemented in the logic fabric. While this technique has been demonstrated for static resources, modern digital signal processing (DSP) blocks are flexible, supporting varied operations at runtime. In this paper, we demonstrate multipumping for resource sharing of the flexible DSP48E1 macros in Xilinx FPGAs. We exploit their dynamic programmability to enable resource sharing for the full set of supported DSP block operations, and compare this to multipumping only multipliers and DSP blocks with fixed configurations. The proposed approach saves on average 48% DSP blocks at a cost of 74% more LUTs, effectively saving 30% equivalent LUT area and is feasible for the majority of designs, in which clock frequency is typically below half the maximum supported by the DSP blocks

Proto-Plasm: parallel language for adaptive and scalable modelling of biosystems

This paper discusses the design goals and the first developments of Proto-Plasm, a novel computational environment to produce libraries of executable, combinable and customizable computer models of natural and synthetic biosystems, aiming to provide a supporting framework for predictive understanding of structure and behaviour through multiscale geometric modelling and multiphysics simulations. Admittedly, the Proto-Plasm platform is still in its infancy. Its computational framework—language, model library, integrated development environment and parallel engine—intends to provide patient-specific computational modelling and simulation of organs and biosystem, exploiting novel functionalities resulting from the symbolic combination of parametrized models of parts at various scales. Proto-Plasm may define the model equations, but it is currently focused on the symbolic description of model geometry and on the parallel support of simulations. Conversely, CellML and SBML could be viewed as defining the behavioural functions (the model equations) to be used within a Proto-Plasm program. Here we exemplify the basic functionalities of Proto-Plasm, by constructing a schematic heart model. We also discuss multiscale issues with reference to the geometric and physical modelling of neuromuscular junctions

Minimizing DSP block usage through multi-pumping

Resource sharing in the mapping of an algorithm to an architecture allows the same resource to be scheduled for different uses in different cycles, generally at the cost of increased schedule length. Multi-pumping is a method whereby a resource is clocked at a frequency that is a multiple of the surrounding circuit, thereby offering multiple executions per global clock, and therefore sharing in the same clock cycle. This concept maps well to FPGA architectures, where hard macro blocks are typically capable of running at higher frequencies than standard logic. While this technique has been demonstrated for multipliers, modern DSP blocks are more complex with multiple computational nodes. In this paper, we apply multi-pumping to minimise DSP block usage, while taking advantage of the multiple nodes they support. The proposed approach uses, on average, 39% fewer DSP blocks, at a cost of 19% more LUTs and 7% more registers

Mapping for maximum performance on FPGA DSP blocks

The digital signal processing (DSP) blocks on modern field programmable gate arrays (FPGAs) are highly capable and support a variety of different datapath configurations. Unfortunately, inference in synthesis tools can fail to result in circuits that reach maximum DSP block throughput. We have developed a tool that maps graphs of add/sub/mult nodes to DSP blocks on Xilinx FPGAs, ensuring maximum throughput. This is done by delaying scheduling until after the graph has been partitioned onto DSP blocks and scheduled based on their pipeline structure, resulting in a throughput optimized implementation. Our tool prepares equivalent implementations in a variety of other methods, including high-level synthesis (HLS) for comparison. We show that the proposed approach offers an improvement in frequency of 100% over standard pipelined code, and 23% over Vivado HLS synthesis implementation, while retaining code portability, at the cost of a modest increase in logic resource usage