Abstract
Purpose The purpose of this paper is to review the existing research on industrial divestment in order to identify the reasons for it, the process whereby it is achieved, and the outcomes of industrial sell-offs and closures. The study reports the main findings that have gained acceptance in the literature, gaps in the research and potential directions for future research. Design/methodology/approach A three stage systematic literature review protocol was used to conduct this review. The results are organized according to an "Antecedents - Process - Outcomes" framework. Findings The traditional accounts of industrial divestment have been framed in terms of firms' weak performance and over-diversification as antecedents to divestment, leading to corporate governance issues. However, the list of antecedents of industrial divestment is more extensive. There is no consensus over the impact of some factors on divestments, as is the case of firm and unit size. The results are not conclusive as to whether firm performance improves after divesting. Originality/value This paper synthesizes knowledge of the main reasons as to why firms completely dispose of their assets, contributing to this under-researched field.

Abstract
In a market dominated by many mobile applications for all purposes, there is currently no visible application of cultural content or commercial content to support the tourist when traveling to Mirandela. Such applications currently available to the tourism industry are limited in content and cultural offerings, and commercial applications only communicate with their partners and have no cultural content.This work presents a framework of a mobile application implementation to support the tourist information needs when he is visiting Mirandela in which interest points are combined with commercial content.This solution allows the tourist to have only one application that integrates the contents that he wishes/subscribe, both cultural and commercial, creating a parametrizable universal profile that can be accessed by any of the entities in the system. In addition to the tourist benefiting from this solution that facilitates the exploration of interest points in Mirandela, the entities involved in the system will also benefit because they are able to increase the dissemination of their products and/or services and thereby increase their market potential and consequently their sales. Copyright © 2018 International Business Information Management Association (IBIMA).

Abstract
In a more and more competitive and industrialized market, it is essential that companies realize that the way forward must go through the optimization of their production processes, reducing the costs and increasing product quality. Nowadays it's necessary to adopt innovative management models that can provide increased productivity at minimal costs, such as the Lean thinking. The metalworking industry is integrated into one of the most competitive existing markets in Portugal. Given this, it's fundamental to reduce the waste in all sectors of the production process, using the good Lean principles and practices, such as the Single Minute Exchange of Die, also known as SMED methodology. This paper presents a project of implementing the SMED methodology in the cold profiling process, in a population of five different profiling machines. The results of the SMED implementation show an average OEE improvement of 10,8%.

Abstract
We present PRIME (PSF Reconstruction and Identification for Multi-sources characterization Enhancement) as a novel hybrid concept to improve the PSF estimation based on Adaptive optics (AO) control loop data. PRIME uses both focal and pupil plane data to jointly estimate the model parameters, which are both the atmospheric (Cn2 (h), seeing), system (e.g. optical gains, residual low-order errors). The parametric model in use is flexible enough to be scaled with field location and wavelength, making it a proper choice for optimized on-axis and off-axis data-reduction across the spectrum. We review the methodology and on-sky validations on NIRC2 at Keck II. We also present applications of PSF model parameters retrieval using PRIME: (i) calibrate the PSF model for observations void of stars on the acquired images, i.e. optimize the PSF reconstruction process (ii) update the AO error breakdown mutually constrained by the telemetry and the images in order to speculate on the origin of the missing error terms and evaluate their magnitude (iii) measure photometry and astrometry in stellar fields.

Abstract
This paper explores two editions of a MOOC delivered at Universidade Aberta's "AULAbERTA" (Open Class) platform. This platform offers different kinds of open learning paths and concerning specifically the MOOC learning path it is relevant to understand if the pedagogical model and the strategy achieve the desired results: (i) to improve education and enlarge the access to knowledge; (ii) to deliver high quality open and online education in Portuguese. The methodology used was based on a cross analysis of learner activity statistics against certain characteristics of the participants' profile like profession and motivations. Four categories of participants were identified and some aspects of their behaviours and engagement in the MOOC were examined, providing some insights concerning the level of participation and interaction. These elements can help us to understand some differences in the learning experiences connected with internal and external motivations and also how participants appreciate the online experience and course design.

Abstract
Technological advancements have created a media ecosystem in which traditional journalism sees its existence strongly threatened by the emergence of new players. Social networks have created a competitive environment that, whether due to its dispersion or its capillarity, has relegated the mainstream media to a secondary role in the media ecosystem. Ironically, the technologies that threaten traditional journalism are also those that can save it; provided they are used correctly. Journalism, weakened by the economic crisis and with increasingly smaller newsrooms, has artificial intelligence as an opportunity to recover a certain centrality in the media ecosystem. This paper studies AIDA, a project from the Brazilian television network Globo. This project looked to automation as a way to avoid errors and ambiguities in the news. The study of the AIDA case, complemented by interviews, presents the challenges to achieve the automatization of news regarding electoral polls.