Game design in an Internet of Things

Whilst no consensus yet exists on how the Internet of Things will be realised, a global infrastructure of networked physical objects that are readable, recognizable, locatable, addressable and controllable is undoubtedly a compelling vision. Although many implementations of the Internet of Things have presented these objects in a largely ambient sensing role, or providing some form of remote access/control, in this paper we consider the emerging convergence between games and the Internet of Things. This can be seen in a growing number of games that use objects as physical game pieces to enhance the players’ interaction with virtual games. These hybrid physical/digital objects present game designers with number of interesting challenges as they i) blur the boundaries between toys and games; ii) provide opportunities for freeform physical play outside the virtual game; and iii) create new requirements for interaction design, in that they utilise design techniques from both product design and computer interface design. Whilst in the past the manufacturing costs of such game objects would preclude their use within games from small independent games developers, the advent of low cost 3D printing and open software and hardware platforms, which are the enablers of the Internet of Things, means this is no longer the case. However, in order to maximise this opportunity game designers will need to develop new approaches to the design of their games and in this paper we highlight the design sensibilities required if they are to combine the digital and physical affordances within the design of such objects to produce good player experiences

Evaluation of epidermal growth factor receptors in bladder tumours.

Epidermal growth factor (EGF) receptor expression in 31 primary human bladder tumours was quantitated using both structural and functional assays and the EGF receptor gene in the same tumours was analyzed by Southern blot analysis. Immunocytochemical studies using the EGFR1 monoclonal antibody (Mab) showed a significant correlation between EGF receptor levels and the stage and grade of the tumours. Autophosphorylation assays employed to evaluate the receptor's tyrosine kinase activity gave results which in general were consistent with the immunocytochemical data. Using internally controlled immunocytochemical studies with two Mabs and Southern blot analysis of DNA isolated from the tumours, no evidence was obtained for the production of truncated receptors similar to those encoded by the v-erb-B oncogene. Gene amplification was not found in any of the superficial tumours, but one invasive tumour with high EGF receptor expression had an 8-10 fold amplification of the EGF receptor gene. The EGF receptor isolated from this tumour showed a normal pattern of tyrosine phosphorylation at all three major autophosphorylation sites. Our detailed study is consistent with the correlation previously found between EGF receptor expression and stage and grade of bladder tumours, and suggests that at this level of analysis EGF receptors in bladder tumours are not abnormal in structure or size, autophosphorylation activity, or gene structure

Computational and Mathematical Modelling of the EGF Receptor System

This chapter gives an overview of computational and mathematical modelling of the EGF receptor system. It begins with a survey of motivations for producing such models, then describes the main approaches that are taken to carrying out such modelling, viz. differential equations and individual-based modelling. Finally, a number of projects that applying modelling and simulation techniques to various aspects of the EGF receptor system are described