Abstract

Abstract
Background: Suffering in nurses is associated with the delivery of care to patients in suffering and factors related to the working conditions. It is a multidimensional experience that occurs in situations of loss, damage, or threat to human integrity. Objective: To compare the mean scores in the dimensions of suffering (Emotional Pain, Relational Loss, and Avoidance) based on the sociodemographic and professional variables of nurses. Methodology: A descriptive and cross-sectional study with a quantitative approach was conducted with a sample of 100 nurses. A self-administered questionnaire was applied, as well as the Caregiver Grief Scale for assessing suffering. Results: Women with children, with a partner, without specialization in nursing, and with more years of service had higher mean scores of suffering. In men, the highest mean scores were found in nurses without children, without a partner, with specialization in nursing, and with more years of service. Conclusion: Nurses showed higher mean scores of suffering in the dimension of Emotional Pain, followed by Relational Loss, and Avoidance, and suffering was higher among women.

Abstract
A projeção mural multimédia é hoje comumente utilizada para fins puramente publicitários ou lúdicos, de entretinimento, no âmbito de eventos que convoquem grandes aglomerados de públicos, sendo menos usual os fins culturais e educacionais. Neste artigo vamos apresentar, analisar e discutir o recurso à projeção mural multimédia em espaços públicos, com objetivos educacionais, formação cultural e de interpelação artística, tomando como tema do conteúdo projetado a própria arte contemporânea e o pensamento crítico que lhe está associado. O artigo toma como base de reflexão os cenários de arte experimental do projeto "+ PROJECTION AC - Projeção da arte contemporânea no espaço público” e suas múltiplas instanciações em diversos locais onde a projeção mural multimédia foi colocada em prática.

Abstract
Over the past decade, online crowdsourcing has established itself as an emerging paradigm that industry and government have been using to harness the cognitive abilities of a multitude of users distributed around the world. In this context, microtask crowdsourcing has become the method of choice for addressing a wide range of diverse problems. Microtasks typically require a minimum of time and cognitive effort, but combined individual efforts have made it possible to accomplish great achievements. The goal of this paper is to contribute to the ongoing effort of understanding whether the same success that microtask crowdsourcing has achieved in other domains can be obtained in the field of social news curation. In particular, we ask whether it is possible to turn online news curation, typically a social and collaborative activity on the Web, into a model in which curatorial activities are mapped into microtasks to be performed by a crowd of online users.

Abstract
Infrastructure-as-Code tools, such as Docker and Docker Compose, play a crucial role in the development and orchestration of cloud-native and at-scale software. However, as IaC relies mostly on the development of text-only specifications, these are prone to misconfigurations and hard to debug. Several works suggest the use of models as a way to abstract their complexity, and some point to the use of visual metaphors. Yet, few empirical studies exist in this domain. We propose a visual programming notation and environment for specifying Docker Compose configurations and proceed to empirically validate its merits when compared with the standard text-only specification. The goal of this work is to produce evidence of the impact that visual approaches may have on the development of IaC. We observe that the use of our solution reduced the development time and error proneness, primarily for configurations definition activities. We also observed a preference for the approach in terms of ease of use, a positive sentiment of its usefulness and intention to use. © 2020 ACM.

Abstract
Software documentation is an important part of the captured knowledge of a software project and documentation patterns have often been used as a systematic way to describe good practices on software documentation. Still, many software teams are challenged by what to document, how to keep the documentation consistent and how to make their consumers aware of the relevant documents. A literature review was done over 14 publications and identified 16 quality attributes and 114 patterns about software documentation. This knowledge was analysed and classified and led to the proposal of new categories and relationships between the existing patterns. These are depicted as a new pattern map that provides a new perspective of documentation patterns and can be used to guide teams in adopting software documentation practices. © 2020 Owner/Author.