Abstract
The work reported in this paper jointly addresses two major challenges in modern power systems: 1) systematically maximizing wind power generation (WPG) utilization under worst-case uncertainty and 2) employing mixed integer-nonlinear programming (MINLP) in the co-optimization of variable reactance devices (VRD) and transmission switching (TS) in an AC optimal power flow problem (ACOPF). The first challenge is solved by proposing an interval based robust approach to identify the worst-case WPG uncertainty. Similarly, to overcome the second challenge, a tri-level decomposition algorithm is used to decompose the MINLP representation into one consisting of one mixed-integer linear programming (MILP) and two nonlinear programming (NLPs) problems. Finally, the effectiveness and efficiency of the proposed model is shown by analysing results from testing on the modified RTS-96 system.

Abstract
Today’s society presents a fast development marked by the digital era, where the sharing, disclosure and access to information is made through information and communication technologies. The use of mobile applications is growing exponentially, spreading to the most varied social classes and everyday activity areas. Worldwide, its use in the most variety of services, has been increasing significantly. Given that, it is essential that mobile applications are accessible in a way that allows access conditions and equal opportunities to all the users. With this study we present indicators regarding the state of accessibility in mobile applications through the evaluation of five Portuguese public administration applications. The methodology used was a fully manual evaluation through a proposal of a model of evaluation divided by quantitative and qualitative requirements created by us, as well as the use of functionalities such as VoiceOver and TalkBack. Taking into account that the study initially proposed on accessibility in mobile applications is the first to be carried out in Portugal and one of the few currently worldwide, it is believed that its content may help, in some way, to raise awareness of the state of accessibility in the Portuguese mobile applications, to create measures that make these applications more accessible to all and that this work could be taken into account in future studies of the topic. © 2019, Springer Nature Switzerland AG.

Abstract
In this paper an analytical approach is proposed to solving the Environmental/Economic Dispatch problem (EED). The EED is a multiobjective optimization problem (MOP) that has as objectives to minimize the emissions of pollutants and the total fuel cost of meeting the energy requirements of an electrical power network. The Weighted Sum Method is used for the scalarization of the MOP and therefore to find the whole Pareto front. To solve the obtained quadratic programming problem, the Karush-Kuhn-Tucker conditions were used, based on a theoretical condition that allowed us to obtain solutions by solving a system of lineal equations. This strategy was tested on two systems with different number of generators and characteristics. The obtained results were compared with other previously reported elsewhere, showing some evident advantages of our proposal.

Abstract
We present PEPITO as a new low-cost and low-complexity concept for profiling the vertical distribution of atmospheric turbulence. PEPITO utilizes post facto tip-tilt (TT) corrected short-exposure images to reproduce the anisokinetism effect and then produces the profile estimation using a model-fitting algorithm. We present in this proceedings the methodology we use to estimate the profile and simulation results, that show that PEPITO can reach potentially 1% of accuracy on a 0.5 m telescope by using 5 stars of magnitude mV=15 mag and distributed over a field of 10, arcmin. We present the sensitivity of PEPITO as well as a sky coverage analysis.

Abstract
Background: Concerns about privacy and personal data protection resulted in reforms of the existing legislation in the European Union (EU). The General Data Protection Regulation (GDPR) aims to reform the existing directive on the topic of personal data protection of EU citizens with a strong emphasis on more control of the citizens over their data and in the establishment of rules for the processing of personal data. OpenEHR is a standard that embodies many principles of interoperable and secure software for electronic health records (EHRs) and has been advocated as the best approach for the development of hospital information systems. Objective: This study aimed to understand to what extent the openEHR standard can help in the compliance of EHR systems to the GDPR requirements. Methods: A list of requirements for an EHR to support GDPR compliance and also a list of the openEHR design principles were made. The requirements were categorized and compared with the principles by experts on openEHR and GDPR. Results: A total of 50 GDPR requirements and 8 openEHR design principles were identified. The openEHR principles conformed to 30% (15/50) of GDPR requirements. All the openEHR principles were aligned with GDPR requirements. Conclusions: This study showed that the openEHR principles conform well to GDPR, underlining the common wisdom that truly realizing security and privacy requires it to be built in from the start. By using an openEHR-based EHR, the institutions are closer to becoming compliant with GDPR while safeguarding the medical data.

Abstract
We fit an immune response model to data reporting the CD4(+) T cell numbers from the 28 days following the infection of mice with lymphocytic choriomeningitis virus LCMV. We used an ODE model that was previously used to describe qualitatively the behaviour of CD4(+) T cells, regulatory T cells (Tregs) and interleukine-2 (IL-2) density. The model considered two clonotypes of T cells in order to fit simultaneously the two time series for the gp61 and NP309 epitopes. We observed the proliferation of T cells and, to a lower extent, Tregs during the immune activation phase following infection and subsequently, during the contraction phase, a smooth transition from faster to slower death rates. The six parameters that were optimized were: the beginning and ending times of the immune response, the growth rate of T cells, their capacity, and the two related with the homeostatic numbers of T cells that respond to each epitope. We showed that the ODE model was able to be calibrated thus providing a quantitative description of the data.