To increase the ability of brain-machine interfaces (BMIs) to control advanced prostheses such as the modular prosthetic limb (MPL), we are developing a novel system: the Hybrid Augmented Reality Multimodal Operation Neural Integration Environment (HARMONIE). This system utilizes hybrid input, supervisory control, and intelligent robotics to allow users to identify an object (via eye tracking and computer vision) and initiate (via brain-control) a semi-autonomous reach-grasp-and-drop of the object by the MPL. Sequential iterations of HARMONIE were tested in two pilot subjects implanted with electrocorticographic (ECoG) and depth electrodes within motor areas. The subjects performed the complex task in 71.4% (20/28) and 67.7% (21/31) of trials after minimal training. Balanced accuracy for detecting movements was 91.1% and 92.9%, significantly greater than chance accuracies (p < 0.05). After BMI-based initiation, the MPL completed the entire task 100% (one object) and 70% (three objects) of the time. The MPL took approximately 12.2 seconds for task completion after system improvements implemented for the second subject. Our hybrid-BMI design prevented all but one baseline false positive from initiating the system. The novel approach demonstrated in this proof-of-principle study, using hybrid input, supervisory control, and intelligent robotics, addresses limitations of current BMIs.

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This article explores the special features of the rural-urban transformation in East Asia in the last 30 years within the broader context of the development strategies of Asian governments. Despite an ongoing commitment to the rhetoric of concern with rural development, food security and the alleviation of rural poverty, these policies have emphasised the important role of urbanisation as the prime process influencing economic growth. This is supported by the economic argument that the economies of scale, the creation of mass urban markets and the higher productivity that occur in urban places make them crucial to development. This paper argues that this approach creates a false dichotomy between rural and urban areas, whereas development should aim to increase the linkages between rural and urban areas aimed at producing societal transformations rather than separate rural and urban transitions. The paper then explores the empirical evidence of rural-urban transitions in East Asia with a more detailed case study of China, which is considered to be a crucial example because of the size of its population, the special conditions of market socialism and its institutional capacity to manage the rural-urban transformation. The final section focusses on the importance of developing spatial sensitivity to the management of the rural-urban transformation in the 21st century. Old divisions between rural and urban sectors must be replaced by planning that integrates urban and rural activities so that they adopt sustainable management strategies which utilise concepts of eco-systems in which rural and urban activities are linked, so as to create sustainable urban regions, cities and societies.

In this paper, we explore the problem of generating the optimal time path from an initial position and orientation to a final position and orientation in the two-dimensional plane for an aircraft with a bounded turning radius in the presence of a constant wind. Following the work of Boissonnat, we show using the Minimum Principle that the optimal path consists of periods of maximum turn rate or straight lines. We demonstrate, however, that unlike the no wind case, the optimal path can consist of three arcs where the length of the second arc is less than π. A method for generating the optimal path is also presented which iteratively solves the no wind case to intercept a moving virtual target.