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Crime in technology resource constrained environments has been shown to adversely affect economic growth by deterring investment and triggering emigration. To address this secure reporting channels are being investigated to encouraging anonymous crime reporting. In this paper, we present a system (CryHelp App) developed to enable residents of a university community situated in technology resource constrained environment to facilitate secure and covert crime reporting. We focus primarily on the usability of the application. The system was developed on the basis of user centric iterative approach. Deployment and evaluation results of our prototype system demonstrate that overall the system scored a 77.06% usability rating with a standard deviation of 0.05 for contributing scores on System Use, Information Quality and Interface Quality. This is indicative of the fact that users found the system to be very usable.

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We analyse the results of our experimental laboratory approximation of motorways networks with slime mould Physarum polycephalum. Motorway networks of fourteen geographical areas are considered: Australia, Africa, Belgium, Brazil, Canada, China, Germany, Iberia, Italy, Malaysia, Mexico, The Netherlands, UK, USA. For each geographical entity we represented major urban areas by oat flakes and inoculated the slime mould in a capital. After slime mould spanned all urban areas with a network of its protoplasmic tubes we extracted a generalised Physarum graph from the network and compared the graphs with an abstract motorway graph using most common measures. The measures employed are the number of independent cycles, cohesion, shortest paths lengths, diameter, the Harary index and the Randic index. We obtained a series of intriguing results, and found that the slime mould approximates best of all the motorway graphs of Belgium, Canada and China, and that for all entities studied the best match between Physarum and motorway graphs is detected by the Randic index (molecular branching index)

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