Abstract
With the energy transition at sight and the EU renewable energy source integration ambition, the EU-SysFlex project aims at defining a set of advancements in the electric system that drives us towards that direction. With the increasing decentralisation and granularity of the generation facilities, local generation will gain a determinant role in the provision of future local and global systems services. This study presents an overview of a framework for a local market for reactive power control that will be implemented and demonstrated under a real scenario in a Portuguese demo site. The demonstration includes a set of capacitor banks of the distribution system operator (DSO) and two wind farms of a wind power generation operator. This local reactive power market consists of a close to real-time continuous intraday local market managed by the DSO, with 15 min delivery time to increase temporal granularity, and with 7 h delivery horizons with complex bids to allow more flexible assets operation. Market agents can also correct future previously scheduled positions by participating themselves as sellers or buyers of capacitive or inductive reactive power, providing a more flexible framework.

Abstract
The current proposal for the next revision of the Ada language considers the possibility to map the language parallel features to an underlying OpenMP runtime. As previously presented, and discussed in previous workshops, the works on fine-grain parallelism in Ada map well to the OpenMP tasking model for parallelism. Nevertheless, and although the general model of integration, and the semantic constructs are already reflected in the proposed revision of the standard, the integration of these new features with the Real-Time Systems Annex of Ada is still not complete. This paper presents an overview of what is supported and the still open issues.

Abstract
Segmentation process serves to aid the pathology diagnosing process since segmentation filters the interference from other anatomical structures and helps focus on the posterior segment structures of the eye, highlighting a set of signals that will serve for diagnosis of various retinal pathologies. Automatic retinal vessel segmentation can lead to a more accurate diagnosis. This paper presents a framework for automatic vessel segmentation of lower-resolution retinal images taken with a smartphone equipped with D-EYE lens. The framework is evaluated and the attained results were presented. A dataset was assembled and annotated of train models for automatic localisation retinal areas and for vessel segmentation. For the framework, two CNN based models were successfully trained, a Faster R-CNN that achieved a 96% correct detected of all regions with an MAE of 39 pixels, and a U-Net that achieved a DICE of 0.7547.

Abstract
External defibrillators are recognized effective to revert ventricular fibrillation and pulseless ventricular tachycardia. This paper presents a new settable defibrillator, designed to assess the effectiveness of the following defibrillation waveforms during clinical trials: monophasic damped sinusoidal (MDS); biphasic truncated exponential (BTE) and rectilinear biphasic waveform (RBW). The device flexibility allows the setting of the defibrillation waveforms most relevant parameters, namely energy and pulses duration. The device usage is also relevant in biomedical engineer and medical staff education and training programs.

Abstract
We consider the problem of multi agents cooperating in a partially-observable environment. Agents must learn to coordinate and share relevant information to solve the tasks successfully. This article describes Asynchronous Advantage Actor-Critic with Communication (A3C2), an end-to-end differentiable approach where agents learn policies and communication protocols simultaneously. A3C2 uses a centralized learning, distributed execution paradigm, supports independent agents, dynamic team sizes, partially-observable environments, and noisy communications. We compare and show that A3C2 outperforms other state-of-the-art proposals in multiple environments.

Abstract
This paper showcases how the Contract Agency Model can be used to uncover literacy practices in videogame’s own terms as a complement to existing, more ‘indirect’ games literacies, using as an example the videogame Total War: Shogun 2. The paper first situates the Contract Agency Model within approaches to videogames and within approaches to media literacy. The paper then identifies three interesting literacy practices in the videogame, which also exemplify the eight levels of abstraction of the Contract Agency Model. The paper concludes by discussing the model’s implications to media literacy and videogames, namely that videogames effect a second-order mutual signaling with their players – agency as a conversation of commitment to meaning – that is humanizing of those players, and that the model can uncover this as an im-plicit contract of bio-costs, as a ‘direct’ literacy of videogames, i.e. a literacy in videogames’ own terms. © 2020 BY-NC-ND.