Abstract
One of the emergent prospects for active distribution networks (DN) is to establish new roles to the distribution company (DISCO). The DISCO can act as an aggregator of the resources existing in the DN, also when parts of the network are structured and managed as microgrids (MGs). The new roles of the DISCO may open the participation of the DISCO as a player trading energy in the wholesale markets, as well as in local energy markets. In this paper, the decision making aspects involving the DISCO are addressed by proposing a bilevel optimization approach in which the DISCO problem is modeled as the upper-level problem and the MGs problems and day-ahead wholesale market clearing process are modeled as the lower-level problems. To include the uncertainty of renewable energy sources, a risk-based two-stage stochastic problem is formulated, in which the DISCO's risk aversion is modeled by using the conditional value at risk. The resulting nonlinear bilevel model is transformed into a linear single-level one by applying the Karush-Kuhn-Tucker conditions and the duality theory. The effectiveness of the model is shown in the application to the IEEE 33-bus DN connected to the IEEE RTS 24-bus power system.

Abstract
AbstractMalnutrition is a serious health problem among older adults. The Mini Nutritional Assessment (MNA) is the most used tool to assess malnutrition among older adults. It was proposed that the Screening section could be used as a short form of the MNA (MNA-SF), but the study of the two forms show a wide range of agreement (71.8 to 93.3% and Cohen's kappa from 0.52 to 0.78). Nevertheless, most of the studies recommend the use of the MNA-SF, but in some this conclusion is not completely congruent with the results. The aims of this work were to study the agreement between the nutritional status classification using the MNA-SF and the MNA-FF among Portuguese older adults living in the community, to compare the scores in each question of the MNA-FF between participants correctly or incorrectly classified using the MNA-SF, and to develop a more sensible version of the MNA-SF. The current study is part of the PRONUTRISENIOR project. Data from 456 older adults (54.2% females) aged 65 to 92 years (mean = 73; SD = 6) living in the community (Vila Nova de Gaia, Portugal) were analyzed. The agreement between the two classifications is 82.7%, but Cohen's k shows a weak agreement (weighted k = 0.497; p < 0,001). MNA-SF showed a very low sensitivity (42.6%) detecting participants malnourished or at risk of malnutrition. Participants classified as normal using the MNA-SF despite at risk using the MNA-SF presented lower scores in two items from the Assessment section: number of full meals eaten daily and amount of fluid consumed per day. These two items were included in MNA-SF to obtain an extended short-version (MNA-SF8), which presented a sensitivity of 91.8% (and a specificity of 79.9%). The areas under the ROC curves were 0.858 and 0.929, respectively for MNA-SF and MNA-SF8. The addition of two items to the MNA-SF provides a more sensible tool to detect risk of malnutrition among elderly. These findings suggest that, among the studied population, general eating-related questions regarding (full meals and fluid intake) are relevant to assess malnutrition. Similar studies should be carried out among other populations in order to verify the possibility of their generalization. [The PRONUTRISENIOR project was financed by Iceland, Liechtenstein and Norway through the EEA Grants (PT06 – Public Health Initiatives, reference 81NU5).]

Abstract
Urban freight transport is an important enabling factor for economic growth and social activities in cities but despite its benefits, it also generates important negative externalities including traffic congestion, pollution, noise and overall less safety. Moreover, increased limitations on urban freight transport, including access constraints, limited kerbside and private parking spaces for loading/unloading, and the often prohibitive costs of installing logistics infrastructures in city centres, have further constrained urban freight transport. To address these issues, several city logistics solutions have been proposed, such as two-tier distribution systems and distribution systems based on mobile depots. In this paper, we focus on two-tier urban freight distribution systems based on mobile depots, where little or no physical infrastructure is considered and where storage is not permitted at transfer locations. In these types of systems, coordination and synchronisation between vehicles are essential, and the main objective is to have vehicles at the transfer locations in a need-to-be basis as a way of minimising the negative externalities. We review and analyse 13 cases found in the scientific literature, trial reports and online resources, and propose a classification of these systems based on the level of mobility and accessibility of transportation modes operating at the first-tier. Furthermore, we characterise the main components and operational features of the different systems, including the existence of multi-trips, the types of transport modes used at both tiers, transported loads and the organisation of the transfer sites (satellites). This work aims to contribute for a clearer characterisation of two-tier urban distribution systems based on mobile depots, to later support the development of the most adequate mathematical models and solution methods to be applied to each variant of this type of systems. © 2020 The Authors. Published by Elsevier B.V.

Abstract
Firms recognize that an assertive SCM could lead to an important competitive advantage in the business world. The purpose of this study is to capture the effect of supply chain management practices in the performance of firms, through a meta-analysis. It aims at highlighting which SCM practices that have a superior effect and their positive or negative impact on performance. Partnership with suppliers, process driven events, employee involvement, and customer satisfaction are the SCM practices that proved to have a positive impact in firm performance, according to the meta-analysis results. The findings from the research can help managers deciding on in which SCM practices concentrate their effort. It also allows making comparisons among different regions in terms of practices with a positive effect and how SCM practices evolves since first insights to now and if it changes throughout time. Concerning supply chain theories, this research sustains the hypotheses that SCM practices impact on some firm performance measures.

Abstract
As researchers are increasingly seeking tools and specialized support to perform research data management activities, the collaboration with data curators can be fruitful. Yet, establishing a timely collaboration between researchers and data curators, grounded in sound communication, is often demanding. In this paper we propose manual content analysis as an approach to streamline the data curator workflow. With content analysis curators can obtain domain-specific concepts used to describe experimental configurations in scientific publications, to make it easier for researchers to understand the notion of metadata and for the development of metadata tools. We present three case studies from experimental domains, one related to sustainable chemistry, one to photovoltaic generation and another to nanoparticle synthesis. The curator started by performing content analysis in research publications, proceeded to create a metadata template based on the extracted concepts, and then interacted with researchers. The approach was validated by the researchers with a high rate of accepted concepts, 84 per cent. Researchers also provide feedback on how to improve some proposed descriptors. Content analysis has the potential to be a practical, proactive task, which can be extended to multiple experimental domains and bridge the communication gap between curators and researchers. [This paper is a conference pre-print presented at IDCC 2020 after lightweight peer review.]

Abstract