Abstract
This extended abstract reports on on-going research on quantum algorithmic approaches to the problem of generalised tree search that may exhibit effective quantum speedup, even in the presence of non-constant branching factors. Two strategies are briefly summarised and current work outlined.

Abstract
The economic development process associated with entrepreneurial ecosystems comprises different approaches and its understanding is vital for regional growth. The Polytechnic Institute of Porto is boosting its entrepreneurial ecosystem, to reinforce its action as an agent of economic and social development in the regions where it operates. The objective of the work was to propose the criteria for the construction of an analysis model that allows the identification of regional "strategic bets" that will support the development of proposals for the provision of support services that integrate with the regional business base and incorporate "Decision Intelligence" to performance of the "Entrepreneurial Regional Observatory of the Porto Startup Network." The methodology used was an exploratory research and, at the end, the initiatives taken and the results are presented.

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Abstract
Using virtual environments (VEs) is a safer and cost-effective alternative to training people in different contexts. Immersive Virtual Reality (VR), combined with game aspects, have the potential to improve the user experience in the VE by increasing realism, engagement, and motivation. In education, there is a consensus about its contribution in the teaching and learning processes. However, in Brazil, only a few research groups have developed projects that involve the development of VR for education, due to technical difficulties and high costs. This manuscript presents the development and evaluation of an VR serious game to support the learning of neuroanatomy, an extended version of our previously published paper at the SVR 2020. In this version, we present the results of four different user studies, involving 57 participants, which suggest that the VR Neuro Game is easy to use, even by inexperienced subjects in VR, and is potentially useful for teaching and learning processes, both by individual students and groups of students and also in remote learning. In addition, the game was considered fun and did not cause discomfort. When comparing the knowledge test performance before and immediately after the experiments, we found significant difference only for the virtual condition. The same could be observed for retention results.

Abstract
The volume available on-board small satellites limit the optical aperture to a few centimetres, which limits the Ground-Sampling Distance (GSD) in the visible to approximately 3 m at 500 km. We present a performance analysis of the concept of a deployable CubeSat telescope. This payload will allow a tripling of the ground resolution achievable from a CubeSat imager, hence allowing very high resolution imaging from Low Earth Orbit (LEO). The project combines precision opto-mechanical deployment and cophasing of the mirrors segments using active optics. The payload has the potential of becoming a new off-the-shelf standardised system to be proposed for all high angular resolution imaging missions using CubeSats or similar nanosats. Ultimately, this technology will develop new instrumentation and technology for small satellite platforms with a primary mirror size equal or larger than 30 cm. In this paper, we present the breakdown of the different error sources that may affect the final optical quality and propose cophasing strategies. We show that the piston, tip and tilt aberrations may need to be as small as 15 nm RMS to allow for diffraction-limited imaging. By taking a co-conception approach, i.e. by taking into account the post-processing capability such as deconvolution, we believe these constraints may be somewhat released. Finally, we show numerical simulation of different solutions allowing the aberrations of the primary mirror segments.

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