Abstract
Internationalization at Home (IaH) is the most accessible approach for internationalizing education, as it does not involve mobility or considerable investment. This article discusses results of two distinct IaH initiatives: a 4-week collaboration between students from a Portuguese university and a Mexican university, and a set of activities conducted throughout one semester in a multicultural classroom in one Portuguese university. The analysis shows that, despite the clear differences of the two initia-tives, they provided very interesting outcomes, with students recogniz-ing the development of intercultural communication skills and other soft skills, which were perceived as adding value to the learning process and to their future professional careers.

Abstract
Cascading failure is the main mechanism for progressing large blackouts in power systems. Following an initial event, it is challenging to predict whether there is a potential for starting cascading failure. In fact, the potential of an event for starting a cascading failure depends on many factors such as network structure, system operating point and nature of the event. In this paper, based on the application of decision tree, a new approach is proposed for identifying harmful line outages with the potential of starting and propagating cascading failures. For this purpose, associated with each trajectory of the cascading failure, a blackout index is defined that determines the potential of the initial event for triggering cascading failures towards power system blackout. In order to estimate the blackout indices associated with a line outage, a three stages harmful estimator decision tree (HEDT) is proposed. The proposed HEDT works based on the online operating data provided by a wide area monitoring system (WAMS). The New England 39-bus test system is utilized to show the worthiness of the proposed algorithm.

Abstract
The phenomenon of missed nursing care is endemic across all sectors. Nurse leaders have drawn attention to the implications of missed care for patient outcomes, with calls to develop clear political, methodological, and theoretical approaches. As part of this call, we describe three structural theories that inform frameworks of missed care: systems theory, economic theory, and neoliberal politics. The final section provides commentary on the strengths and limitations of these three theories, in the light of structuration theory and calls to balance this research agenda by reinstating nurse agency and examining the interactions between nurses as agents and the health systems as structures. The paper argues that a better understanding of variations in structure-agency interaction across the healthcare system might lead to more effective interventions at strategic leverage points.

Abstract
Background Forgiveness is linked with well-being, and social and health research has focused on the role and aspects of forgiveness that has been recently suggested as a phenomenon of public health importance. The Heartland Forgiveness Scale (HFS) was developed gathering three subscales to assess the forgiveness of others, forgiveness of self, and forgiveness of situation. The present study aimed to adapt the HFS into European Portuguese, and investigate its reliability and validity. Methods Translation and cross-cultural adaptation were conducted using a multistep forward-back translation process. Internal consistency was assessed by Cronbach's alpha. Confirmatory factor analysis was conducted to verify that the factor structure is the same as in the original HFS. The short version of the Ruminative Response Scale (RRS) and the Satisfaction with Life Scale (SWLS) were used to examine convergent validity. Results A sample of 222 university students, selected through convenience sampling, was used to access the validity of the European Portuguese version of the HFS (EPHFS). Cronbach's alpha for the European Portuguese HFS subscales were 0.777, 0.814 and 0.816 for Self, Others and Situation, respectively, indicating acceptable reliability. The 3-factor model of the original HFS was replicated in confirmatory factor analysis. As expected by evidence in the literature, positive and statistically significant correlations were found between SWLS and HFS and subscales. RRS showed negative and statistically significant correlations with HFS and subscales. Conclusions The European Portuguese version of the HFS presented acceptable internal consistency, construct validity and confirmed the three-factor structure of the original HFS.

Abstract
Quantum annealing provides a method to solve combinatorial optimization problems in complex energy landscapes by exploiting thermal fluctuations that exist in a physical system. This work introduces the mapping of a graph coloring problem based on pseudo-Boolean constraints to a working graph of the D-Wave Systems Inc. We start from the problem formulated as a set of constraints represented in propositional logic. We use the SATyrus approach to transform this set of constraints to an energy minimization problem. We convert the formulation to a quadratic unconstrained binary optimization problem (QUBO), applying polynomial reduction when needed, and solve the problem using different approaches: (a) classical QUBO using simulated annealing in a von Neumann machine; (b) QUBO in a simulated quantum environment; (c) actual quantum 1, QUBO using the D-Wave quantum machine and reducing polynomial degree using a D-Wave library; and (d) actual quantum 2, QUBO using the D-Wave quantum machine and reducing polynomial degree using our own implementation. We study how the implementations using these approaches vary in terms of the impact on the number of solutions found (a) when varying the penalties associated with the constraints and (b) when varying the annealing approach, simulated (SA) versus quantum (QA). Results show that both SA and QA produce good heuristics for this specific problem, although we found more solutions through the QA approach.

Abstract
Purpose The purpose of this paper is to conduct a systematic literature review (SLR) to identify the main firm-level performance indicators and group them in dimensions that support decision-making in the wine industry. Design/methodology/approach To achieve this goal, an SLR approach was conducted in the Scopus database from 2009 to 2019. From a set of 607 articles, only 25 studies related to firm-level performance indicators were considered and, following an inductive thematic analysis and an interpretative synthesis, separated into different specific foci that include social, economic and environmental dimensions. Findings There is a limited number of papers identifying indicators regarding the firm-level performance of wine firms, and even fewer studies including indicators on an integrated approach to measure the different dimensions of firm performance. This paper documents that economic and environmental indicators cover 78.2% of all SLR indicators analyzed. As this group of indicators is limited to a set of sub-dimensions, this paper found that several groups of indicators are misrepresented, such as product portfolio or certifications related to marketing activities and indicators covering purchasing and supply chain activities, which play a crucial role in the competitiveness of the wine industry. Practical implications For practitioners, it discloses the most pertinent indicators they need to improve to craft their business strategies. This framework is of added value for policymakers to customize their support programs for specific producers to develop their competitive strategies. It could be deployed in teaching programs as a tool to address the importance of aligning different types of indicators to achieve firm-level performance in the wine industry. Originality/value This study contributes to the literature identifying a framework of analysis that includes indicators of four dimensions, namely, economic, social, territorial and environmental. This framework aims to relate performance measures to corporate strategy as a management control tool. The framework intends to improve the fit between firms' activities and their competitive context and to be flexibly adapted to various products/firms in the wine industry.