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Sturge-Weber-Krabe syndrome (SWS), also known as encephalotrigeminalangiomatosis and named the forthfacomatosis, recall the names of the authors who first describedit in its basic clinical, radiological andanatomopathological aspects. We report here 14 cases of Sturge-Weber disease. In 6 of these, despite what had been previously described in literature, an extension of the angioma has been noted in other parts of the body. The study of these subjects stresses not only the need for a pharmacological/neuropsychomotor intervention, but alsothe need of a psychotherapeutic approach, for the emotional and affective implications thatcould derive from this syndrome. The reported cases are similar to those presented in literature for their main features. In particular, two elements are interesting: i) the exceptional diffusion of the red nevousto the whole hemicorpo; and ii) the evaluation of the way the patients live the disease, which has not beenpreviously considered in literature. We can conclude that SWS is a multisystem disorder that requires the neurologist to be aware of the possible endocrine, psychiatric, ophthalmological, and other medical issues that can arise and impact on the neurological status of the patients.

Air traffic controllers (ATCOs) play a fundamental role in the safe, orderly and efficient management of air traffic. In the interests of improving safety, it would be beneficial to know what the workload thresholds are that permit ATCOs to carry out their functions safely and efficiently. The purpose of this paper is to present the development of a simulation platform to be able to validate an affective-cognitive performance methodology based on neurophysiological factors applied to ATCOs, to define the said thresholds.

The process followed in setting up the simulation platform is explained, with particular emphasis on the design of the program of exercises. The tools designed to obtain additional information on the actions of ATCOs and how their workload will be evaluated are also explained.

To establish the desired methodology, a series of exercises has been designed to be simulated. This paper describes the project development framework and validates it, taking preliminary results as a reference. The validation of the framework justifies further study to extend the preliminary results.

This paper describes the first part of the project only, i.e. the definition of the problem and a proposed methodology to arrive at a workable solution. Further work will concentrate on carrying out a program of simulations and subsequent detailed analysis of the data obtained, based on the conclusions drawn from the preliminary results presented.

The methodology will be an important tool from the point of view of safety and the work carried out by ATCOs. This first phase is crucial as it provides a solid foundation for later stages.

Culture significantly influences individuals' lives and shapes their behaviour in an ecological framework. In this chapter, we examine the issue of children's participation in research about child abuse and neglect (CAN) in the context of Turkey – a country that bridges the Asian and European continents. This study was based on a review examining studies on CAN in Turkey. Thus, the main goal was to find cultural explanations for the scarcity of participatory research with children in the field of child maltreatment. A review examining studies on CAN in Turkey found that no study included children victims of CAN or explored why children victims of CAN have not been participating in research. Therefore, we analysed ecological factors influencing the participation of children in CAN studies and interpreted the findings based on our observations as experts in this field. The analysis indicated that causes are not only due the characteristics of the caregivers and children but also result from the interaction of various environmental and systemic factors. Recommendations for politicians and researchers to increase children's participation in research are discussed.

The purpose of this study is to establish a systematic framework to characterise the safety of air routes, in terms of separation minima infringements (SMIs) between en-route aircraft, based on the definition of models known as safety performance functions.

Techniques with high predictive capability were selected that enable both expert knowledge and data to be harnessed: Bayesian networks. It was necessary to establish a conceptual framework that integrates the knowledge currently available on the causality and precursors of SMIs with the hindsight derived from the analysis of the type of data available. To translate the conceptual framework into a set of causal subnets, the concepts of air traffic management (ATM) barrier model and event trees have been incorporated.

The model combines analytics and insights, as well as predictive capability, to answer the question of how airspace separation infringements are produced and what their frequency of occurrence will be. The main outputs of the network are the predicted probability of success for the ATM barriers and the predicted probability distribution of the vertical and horizontal separation of an aircraft in its closest point of approach.

The main contribution of this work is that, by virtue of the calculation capacity obtained, the network can be used to draw conclusions about the impact that a modification of the airspace and of the traffic, or operational conditions, would have on the effectiveness of the barriers and on the final distributions of distance between aircraft in the CPA, thereby estimating the probability of SMI.

The aim of this article is to contribute to the field of social businesses, particularly considering the dimension of social innovation.

The authors adopted a qualitative approach, whose purpose is to gather in-depth insights into a problem to understand its contextual elements and interrelations. The authors used an exploratory descriptive design and a multiple case study, which allows the identification of similarities and differences in the research subjects. They developed a scale that enables the classification of the operation logic of the social businesses analyzed.

It became evident that social businesses present a few differences in their modus operandi: those based on a social logic are more concerned with the generation of socio-environmental value, however with small-scale innovation; in contrast, social business guided by a market logic do not intend to generate socio-environmental value in different dimensions and are more concerned with the wider range of their innovations.

This research analyzed social businesses from a founder and manager perspective and did not comprise all stakeholders. The purpose of this study was not to measure the effective impact generated by innovation, but to understand its potential to generate socio-environmental value.

The generation of socio-environmental value and the strategies to expand practices of social innovation are associated with the operation logic of social business.

The created scale allowed the classification of social businesses in terms of operation logic (greater emphasis on market or social aspects) and proposes a few dimensions to evaluate a socio-environmental innovation.

The purpose of this paper is to set out a methodology for characterising the complexity of air traffic control (ATC) sectors based on individual operations. This machine learning methodology also learns from the data on which the model is based.

The methodology comprises three steps. Firstly, a statistical analysis of individual operations is carried out using elementary or initial variables, and these are combined using machine learning. Secondly, based on the initial statistical analysis and using machine learning techniques, the impact of air traffic flows on an ATC sector are determined. The last step is to calculate the complexity of the ATC sector based on the impact of its air traffic flows.

The results obtained are logical from an operational point of view and are easy to interpret. The classification of ATC sectors based on complexity is quite accurate.

The methodology is in its preliminary phase and has been tested with very little data. Further refinement is required.

The methodology can be of significant value to ATC in that when applied to real cases, ATC will be able to anticipate the complexity of the airspace and optimise its resources accordingly.

This paper aims to characterize the type of support provided to victims of violence against women and domestic violence (VAWDV) during the first lockdown, assessing the training of professionals to use remote support (RS).

This cross-sectional study involves a sample of 196 support professionals, mainly women (91.8%) and who integrate the Portuguese National Support Network for victims of domestic violence (NSNVDV) (Mean age = 36.49; SD = 10.52).

Telephone emerges as the main RS communication media used in the lockdown (43.9%) and the emergency state periods (57.1%). Participants reported to have never used any social applications (41.8% vs 41.8%) or videoconference (46.4% vs 58.2%), in both periods assessed, i.e. lockdown and emergency state, respectively, and 82.7% assumed to have no training with RS to assist VAWDV victims. However, support professionals recognized several advantages in using RS such as dealing with isolation, reducing inhibition, fear and shame and in promoting the victims’ empowerment.

Given the exploratory nature of this study, only descriptive analyzes were conducted.

During the COVID-19 pandemic, little is known about effective RS given by professionals to victims of VAWDV in the Portuguese context. The paper aims to add knowledge to the studied field.