Abstract
With the increase in availability of online national archives and software to manage genealogical records, genealogy studies are growing in popularity. While conducting research, genealogists communicate their findings either in written narratives or in genealogical charts. In that context, visualization methods can be very effective for promoting the understanding of the intricacies of a family tree and the relations among its individuals. Most of the software designed for genealogy provides a collection of standard charts to plot family trees, despite having limited analysis capabilities in general. In addition, most of the research in family tree visualization designs have been focused on methods to represent very large trees in a restricted space. Herein, we propose the contextual family tree, a new visualization design for family trees that represents individuals and their spouses with enhanced details about their families' context. The design was developed through an iterative prototype-evaluation design cycle. For illustrating the potential of our new visualization design, we used contextual family trees created from publicly available genealogical data communication files, showing that the design can be useful to provide a better understanding of the data and also for validating the consistency of the genealogical data.

Abstract
Aims The aims of this paper are to explore the role of cross-disciplinary knowledge exchange and integration in advancing the science of unfinished nursing care and to offer preliminary guidance for theory development activities for this growing international community of scholars. Background Unfinished nursing care, also known as missed care or rationed care is a highly prevalent problem with negative consequences for patients, nurses and healthcare organizations around the world. It presents as a 'wicked' sustainability problem resulting from structural obstacles to effective resource allocation that have been resistant to conventional solutions. Research activity related to this problem is on the rise internationally but is hindered by inconsistencies in conceptualizations of the problem and lack of robust theory development around the phenomenon. A unified conceptual framework is needed to focus scholarly activities and facilitate advancement of a robust science of unfinished nursing care. Design Discussion paper. Data Sources This discussion paper is based on our own experiences in international and interdisciplinary research partnerships related to unfinished nursing care. These experiences are placed in the context of both classic and current literature related to the evolution of scientific knowledge. Implications for Nursing The problem of unfinished nursing care crosses multiple scientific disciplines. It is imperative that the community of scholars interested in solving this wicked problem engage in meaningful cross-disciplinary knowledge integration and move towards transdisciplinarity. Conclusion Metatheorizing guided by structuration theory should be considered as a strategy to promote transdiciplinarity around the problem of unfinished nursing care.

Abstract
Medical training is an intricate and long process, which is compulsory to medical practice and often lasts up to twelve years for some specialties. Health stakeholders recognise that an adequate planning is crucial for health systems to deliver necessary care services. However, proper planning needs to account for complexity related with the setting of medical school vacancies and of residency programs, which are highly influenced by multiple stakeholders with diverse perspectives and views, as well as by the specificities of medical training. Aiming at building comprehensive models with a potential to assist health decision-makers, this article develops a multi-methodological framework to assist the planning of medical training under such a complex environment. It combines the structuring of the objectives and specificities of the medical training problem with a Soft Systems Methodology through the CATWOE (Customer, Actor, Transformation, Weltanschauung, Owner, Environment) approach, and the formulation of a Mixed Integer Linear Programming model that considers all relevant aspects. Considering the specificities of countries based on a National Health Service structure, a multi -objective planning model emerges, informing on how many vacancies should be opened/closed per year in medical schools and in each specialty. This model aims at (i) minimizing imbalances between medical demand and supply; (ii) minimizing costs; and (iii) maximizing equity across medical specialties. A case study in Portugal is explored so as to illustrate the applicability of the proposed multi-methodology, showing the relevance of proper structuring for planning models having the potential to inform health decision-makers and planners in practice.

Abstract

Abstract
In many companies in the automotive industry there are challenges in some key processes in their logistic departments, mainly in internal logistics. These challenges happen due to poorly defined rules for the transportation of goods, resulting in a great cost associated with the time lost in the process. Also, the optimization of these processes, incrementing the efficiency of internal logistics can bring competitive advantages to the companies. For that matter, this study was developed at a major tire manufacturing company and proposes a model for the optimization of in-bound logistics, viewed as an online vehicle routing problem with soft deadlines (OVRPSD), using multiple depots. The main goal of this study is the increase of efficiency in logistic, optimizing the number of vehicles to supply the machines in order to reduce the stopping time of machines due to the lack of tires to consume. © 2019, Springer International Publishing AG, part of Springer Nature.

Abstract
The Hospitality industry is one of the main sectors of tourism activity, being important to assess the performance of the hotel companies. The aim of the present paper is to study the financial performance of 570 companies operating hotel units in Portugal, in 2017, allowing for comparison among companies with similar stars rating and market orientation to explore the question of branded and non-branded affiliation. This issue is studied using a methodology based on Data Envelopment Analysis to assess the overall performance for each company. The hotel company performance is assessed through the aggregation of multiple financial indicators using the composite indicator derived from the DEA model. The empirical results show that the hotel branded companies have, on average, significantly, higher overall financial performance than hotel non-branded companies. Although, the best practices are observed in hotel branded and non-branded companies. This analysis can support the strategic decision process of the hotel companies in choosing to operate independently or selecting a brand affiliation.