Abstract
Como formar o professor para desenvolver a docência no ensino superior e na pós-graduação, considerando as transformações digitais, os desafios e as potencialidades de uma realidade hiperconectada numa era de hiperinteligência? A partir desta problemática e, com o objetivo de compreender como formar o professor para a Docência OnLIFE, o percurso da pesquisa-desenvolvimento-formação, vai se constituindo fundamentado no método cartográfico de pesquisa-intervenção. Nesse contexto, o artigo apresenta a construção de um programa de formação docente que tem início como extensão e se aprofunda e amplia como especialização, num processo de inventividade e inovação curricular e metodológica. Problematiza as competências necessárias à docência na contemporaneidade, propondo a Rede de Competências para a Docência OnLIFE, as quais são organizadas por dimensões da formação docente, apresentadas como os 5D’s da Formação Docente OnLIFE. As competências organizadas nas dimensões, são articuladas a partir da concepção de um currículo em rede. Como resultados apresenta metodologias e práticas inventivas e conclui com a proposição de uma docência OnLIFE.   Palavras-chave cultura híbrida e multimodal, metodologias inventivas, formação de professores, educação onlife

Abstract
Abstract Lightning hit a transmission power line outside London, England on 9 August 2019. There followed a loss of power from a cascade of generator outages that exceeded contingency reserves, leading to an exceptional fall in grid frequency causing widespread transport disruptions and the disconnection of over 1 m households. Simulating such events typically involves a system of differential equations representing the overall generation and load present at the time. A standard model based on the swing equation assumes unlimited capacity in aggregated resources, and the availability of these services throughout the duration of the frequency deviation. In simulating the effect of outages on the GB Grid frequency on 2019/8/9, the effect of limiting these services to the capacity of resources engaged during the event is examined. It is shown that by taking these refinements into account the timing and extent of the frequency nadir can be successfully estimated. Insight is gained into the responses of various grid characteristics and how they interact with unplanned generation imbalances. Using this adapted model, further events on the GB grid are examined to validate the influence of these features. With the model’s effectiveness validated, novel mitigating measures to preserve the stability of a low-inertia grid can be evaluated.

Abstract
Gastric Intestinal Metaplasia (GIM) is one of the precancerous conditions in the gastric carcinogenesis cascade and its optical diagnosis during endoscopic screening is challenging even for seasoned endoscopists. Several solutions leveraging pre-trained deep neural networks (DNNs) have been recently proposed in order to assist human diagnosis. In this paper, we present a comparative study of these architectures in a new dataset containing GIM and non-GIM Narrow-band imaging still frames. We find that the surveyed DNNs perform remarkably well on average, but still measure sizeable interfold variability during cross-validation. An additional ad-hoc analysis suggests that these baseline architectures may not perform equally well at all scales when diagnosing GIM.

Abstract
Switched reluctance machines are gaining importance due to their low cost, simple construction, and non-use of rare earth magnets. However, for the development of advanced torque controllers, accurate torque estimation is crucial, especially under varying load conditions. There are different torque estimation methods, which fall into different well-established classes, however, the characterization of their performance and operating conditions are not well known. This paper provides a comparative study of the most significant estimation algorithms: average torque, analytical and area approximation estimators. To assess the performance of these algorithms, a set of numerical simulations is presented and their results are compared based on signal similarity criteria. Results show a better performance when using the area approximation algorithm in comparison with the other two.

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