Abstract
Health systems are complex organisations that attempt to deliver health services to meet the needs of the population. Regardless of the degree of access to and quality of those health services, the systems' sustainability has been the object of special attention by governments worldwide. To ensure their adequate functioning in light of the accountable and transparent facets of New Public Governance, one must resort to regulatory mechanisms, such as sunshine regulation. By publicly displaying the results of benchmarking assessments, sunshine regulation embarrasses operators with poor performances in an effort to force them to correct such divergences. Thus, in this paper, we propose a sunshine regulatory model to the public hospitals in Portugal using multi-criteria decision analysis. In particular, we created a five-star rating that categorises those operators according to their performances, by means of the outranking method ELECTRE TRI-NC. As a result, we provide evidence of the existence of a majority of providers assigned to the `Average' category of Three stars and the nonexistence of providers with unique extreme category assignments (One star or Five stars), both of which are supported by extensive stability and robustness analyses, and discussed in terms of policy implications for relevant stakeholders.

Abstract
In this paper it is presented the stochastic modeling of a time of flight sensor, to be applied in a mobile robotics application. The sensor was configured to provide data at a frequency 30 Hz, obtaining a tradeoff between reactiveness and accuracy. The sensor data was acquired using a microcontroller development board, being the sensor moved with a manipulator, in order to assure repeatability and accuracy in the data acquisition process. The sensor was modeled having in mind the targets color, ranging from black to white for the working range, its variance, standard deviation, offset, means and errors measures were estimated.

Abstract
This paper proposes an accurate and efficient probabilistic method for modeling the nonlinear and complex uncertainty effects and mainly focuses on the Electric Vehicle (EV) uncertainty in Peer-to-Peer (P2P) trading. The proposed method captures the uncertainty of the input parameters with a low computational burden and regardless of the probability density function (PDF) shape. To this end, for each uncertain parameter, multitude of random vectors with the specification of corresponding uncertain parameters are generated and a fuzzy membership function is then assigned to each vector. Since the most probable samples occur repeatedly, they are recognized by the superposition of the generated fuzzy membership functions. The simulation results on various case studies indicate the high accuracy of the proposed method in comparison with Monte-Carlo simulation (MCs), Unscented Transformation (UT), and Point Estimate Method (PEM). It also scales down the computational burden compared to MCs. Also, a real-world case study is employed to examine the ability of the method in capturing the uncertainty of EVs' arrival and departure time. The studies on this case reveal that involving EVs in P2P trading augments the amount of energy traded within the prosumers.

Abstract
In the field of immersive learning, instructors often find it challenging to match their pedagogical approaches and content knowledge with specific technologies. Unfortunately, this usually results in either a lack of technology use or inappropriate use of some technologies. Teachers and trainers wishing to use immersive learning environments face a diversity of technological and pedagogical alternatives. To scaffold educators in their planning of immersive learning educational activities, we devised a recommendation tool, which maps educational context variables to the dimensions of immersion and uses educators' contexts to identify the closest educational uses. Sample educational activities for those uses are then presented, for various types of educational methodologies. Educators can use these samples to plan their educational activities in line with their current resources or to innovate by pursuing entirely different approaches.

Abstract
Among the different approaches to implementing Agility, the Scrum, created in the late 1980s, has stood out as the most used tool by the software development industry. Understand how the concepts underlying this approach, such as ceremonies and time boxes, have been adapted to meet the situation of telework imposed by social distancing to prevent the spread of the COVID-19 virus, experienced by the elements of the software development teams, presents an opportunity to learn what are the most efficient ways to use its process. It was observed how Scrum was applied in practice by software development teams during the mandatory telework period and from there, it will be look for better ways to do it, either by developing new technological tools, or using existing tools, to support the ceremonies, or, by creating new processes to support such evolution on methodology's process.

Abstract
Although the literature on crisis communication is quite vast, business communication related to global crises (e.g., natural disasters) is largely unexplored. This chapter aims to fill this gap and shed light on brand communication strategies during a pandemic. A netnographic study was carried out with the purpose of identifying brand positioning and communication strategies during the COVID-19 pandemic outbreak and of understanding the engagement of brands' followers during that period. The study included four brands of large Brazilian companies and comprised the analysis of brands' feed on Instagram during the first five weeks of the outbreak in Brazil. Findings enable to identify two distinct profiles: unprepared brands and leading brands. The chapter provides valuable clues for both managers and researchers dealing with crisis communication. © 2023, IGI Global. All rights reserved.