Abstract
The highly elliptical, 16-year-period orbit of the star S2 around the massive black hole candidate Sgr A* is a sensitive probe of the gravitational field in the Galactic centre. Near pericentre at 120 AU approximate to 1400 Schwarzschild radii, the star has an orbital speed of approximate to 7650 km s(-1), such that the first-order effects of Special and General Relativity have now become detectable with current capabilities. Over the past 26 years, we have monitored the radial velocity and motion on the sky of S2, mainly with the SINFONI and NACO adaptive optics instruments on the ESO Very Large Telescope, and since 2016 and leading up to the pericentre approach in May 2018, with the four-telescope interferometric beam-combiner instrument GRAVITY. From data up to and including pericentre, we robustly detect the combined gravitational redshift and relativistic transverse Doppler effect for S2 of z = Delta lambda/lambda approximate to 200 km s(-1)/c with different statistical analysis methods. When parameterising the post-Newtonian contribution from these effects by a factor f, with f = 0 and f = 1 corresponding to the Newtonian and general relativistic limits, respectively, we find from posterior fitting with different weighting schemes f = 0.90 +/- 0.09 vertical bar(stat) +/- 0.151 vertical bar(sys). The S2 data are inconsistent with pure Newtonian dynamics.

Abstract
The need for innovation and the ability to transfer knowledge to society and industry are essential for the development of current economy. In this sense, universities play a crucial role in this mission, and university spin-offs have become one of the most popular mechanisms of academic knowledge transfer. The purpose of this paper is to perform a literature review in the field of university spin-offs. The adopted methodology starts by creating a conceptual map of the various research areas around university spin-offs, followed by the identification of the most predominant studies in the field taking into account the number of citations. The findings indicate that the main explored dimensions in the university spin-offs research include the process of technology transfer, the role of university in the society, the regional context of the university and the impact of university spin-offs considering several dimensions. On the other side the least explored dimensions include the analysis of the founders' background, and the establishment of public policies to support the activities of university spin-offs.

Abstract
A multivariate outlier detection method for interval data is proposed that makes use of a parametric approach to model the interval data. The trimmed maximum likelihood principle is adapted in order to robustly estimate the model parameters. A simulation study demonstrates the usefulness of the robust estimates for outlier detection, and new diagnostic plots allow gaining deeper insight into the structure of real world interval data.

Abstract
This paper addresses new Mixed-model Assembly Line Balancing Problems (MALBP) in a real industrial context, the stitching systems of a footwear company. The work is part of large ongoing projects with this industry, and the main purposes are minimising the number of required workstations and smoothing the operators' workload. The company has invested in new flexible automated assembly systems, which accommodate dozens of workstations and many moving boxes. Footwear components are inside boxes (with various quantities) which can move from the warehouses to a convenient workstation or between any workstations (in any order). This is a significant and distinct feature of the MALBP, together with the fact that the assignment of different skilled operators and machines is achieved simultaneously. An optimisation model is developed, in part to facilitate the understanding of the situation and to solve small-size instances. Due to the complexity of the problems, we had to devise an approximate method, based on the Variable Neighbourhood Descent (VND) metaheuristic and integrating an adaptation of the Ranked Positional Weighted (RPW) method. The adapted RPW method is used to create initial feasible solutions, while preassigning special operators and machines. After choosing good initial solutions, VND is applied to improve their quality. The new contributed method, named as RPW-VNDbal, is tested with medium and large instances, in two distinct stitching systems. A Lower Bound of the objective function and Simulation contribute to evaluate the solutions and their practicability. The results implemented by the project team, show that the RPW-VNDbal method is fast enough and offers better solutions than those implemented by the experienced operation managers of the company.

Abstract

Abstract
Cannabis is the most used illicit substance in Portugal and is the one, which presents, on average, an earlier onset of consumption. Craving is considered one of the fundamental factors linked to the cannabis use, associating anxiety, stress and depression. The sample consisted of 143 individuals from the northern area of the country and the data was gathered through two online questionnaires (DABS-21 and the MCQ-SF). The obtained results allow us to conclude that emotionality, purposefulness and compulsivity are positively associated with the level of craving and, combined, as well to stress and depression. The number of years of consumption presents a significant effect in anxiety, with a medium effect size.