SANTO: Social Aerial NavigaTion in Outdoors

In recent years, the advances in remote connectivity, miniaturization of electronic components and computing power has led to the integration of these technologies in daily devices like cars or aerial vehicles. From these, a consumer-grade option that has gained popularity are the drones or unmanned aerial vehicles, namely quadrotors. Although until recently they have not been used for commercial applications, their inherent potential for a number of tasks where small and intelligent devices are needed is huge. However, although the integrated hardware has advanced exponentially, the refinement of software used for these applications has not beet yet exploited enough. Recently, this shift is visible in the improvement of common tasks in the field of robotics, such as object tracking or autonomous navigation. Moreover, these challenges can become bigger when taking into account the dynamic nature of the real world, where the insight about the current environment is constantly changing. These settings are considered in the improvement of robot-human interaction, where the potential use of these devices is clear, and algorithms are being developed to improve this situation. By the use of the latest advances in artificial intelligence, the human brain behavior is simulated by the so-called neural networks, in such a way that computing system performs as similar as possible as the human behavior. To this end, the system does learn by error which, in an akin way to the human learning, requires a set of previous experiences quite considerable, in order for the algorithm to retain the manners. Applying these technologies to robot-human interaction do narrow the gap. Even so, from a bird's eye, a noticeable time slot used for the application of these technologies is required for the curation of a high-quality dataset, in order to ensure that the learning process is optimal and no wrong actions are retained. Therefore, it is essential to have a development platform in place to ensure these principles are enforced throughout the whole process of creation and optimization of the algorithm. In this work, multiple already-existing handicaps found in pipelines of this computational gauge are exposed, approaching each of them in a independent and simple manner, in such a way that the solutions proposed can be leveraged by the maximum number of workflows. On one side, this project concentrates on reducing the number of bugs introduced by flawed data, as to help the researchers to focus on developing more sophisticated models. On the other side, the shortage of integrated development systems for this kind of pipelines is envisaged, and with special care those using simulated or controlled environments, with the goal of easing the continuous iteration of these pipelines.Thanks to the increasing popularity of drones, the research and development of autonomous capibilities has become easier. However, due to the challenge of integrating multiple technologies, the available software stack to engage this task is restricted. In this thesis, we accent the divergencies among unmanned-aerial-vehicle simulators and propose a platform to allow faster and in-depth prototyping of machine learning algorithms for this drones

The Pace of Aesthetic Process: A Comparative Approach

Traditionally, western theory of art has been equipped with a set of dualisms such as subject-object, artistic process-artistic product, active artist-passive spectator, that has supposed a rejection of a plenary notion of the human integrated with nature and the cosmos. In this context, John Dewey, who presented his theory of art in 1934 in Art as Experience, showed how the “art has been set in a remote pedestal”, separated from the low activities which we realized in our ordinary lives. He refused the way aesthetics has separated the live creature from the world in which it lives, and proposes a new approach which begin from the raw, from everyday human activities. The aim of this paper is to focus interest in Dewey’s notion of rhythm, because this characteristic set the pace of the aesthetic process. This paper explores Dewey’s proposal from a comparative approach, because the rejection of art-centred discourse to the rich aesthetic dimensions of our lives is not common in all cultural traditions. I begin defining the deweyan notion of rhythm in contrast to the vital rhythm of Taoist aesthetics. Both Dewey and Taoists postulate that Human beings are affected and participate in nature’s rhythms and the reality is a continually changing balance. Secondly, I would like to consider a specific classic Chinese work of aesthetics, written by Shí Tāo (石涛) in the seventeenth century, which was developed fundamental aspects of rhythm in capturing the spirit resonance of the world and revealed its immensity through the method of the one-stroke. Through this paper’s presentation, I wish to show the importance of the rhythm in the creative process, because rhythm marks not only our interaction with the environment and with other people, but also the impulse of the aesthetic world-making process

Protein Functional Families to characterise drug-target interactions.

The quest for “magic bullets” has been the driving force in drug discovery during the last two decades. However, the increasing rate of drug failure over this period has occurred concurrently with the assumption that a drug is a selective ligand for a single target. It now seems likely that polypharmacology is the rule rather than the exception [1]. Our previous research shows that protein domains are a good proxy for drug targets, and that drug polypharmacology emerges as a consequence of the multi-domain composition of proteins [2]. In this study, we investigate further the idea that the domain is the druggable entity within a protein target. We have identified a specific class of domains (CATH Functional Families) as the best currently available for identifying drug-target interactions. We show how this opens a new direction in target identification with potential application in drug repurposing.1. Hopkins, AL. (2008) Network pharmacology: the next paradigm in drug discovery. Nat Chem Biol; 4: 682 2. Moya-García AA & Ranea JAG (2013) Insights into polypharmacology from drug-domain associations. Bioinformatics 29: 1934–1937)Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Universidad de Granad