2020
Autores
Moreira, E; Correia, FF; Bispo, J;
Publicação
Programming'20: 4th International Conference on the Art, Science, and Engineering of Programming, Porto, Portugal, March 23-26, 2020
Abstract
Mobile device users have been growing in the last years but the limited battery life of these devices is considered one of the major issues amongst users and programmers. Therefore, there is a need to guide developers in developing mobile applications in the most energy efficient way. One of the ways to improve this is to provide live feedback about the energy efficiency of a program while it's being programmed. We have analyzed and compared a total of 16 different tools and presented a list of 15 code smells and respective refactorings. From the analyzed tools, Leafactor is the closest to a valid solution to our problem because it's the only energy-aware tool with the highest liveness level. However, in order to be executed the programmer needs to trigger it on the IDE by selecting the file, instead of automatically being executed without the programmer being noticed and refactor his inefficient code. © 2020 Owner/Author.
2020
Autores
Pinto, M; Vasconcelos-Raposo, J; Almeida, A; Claro, I; Ledo, J; Marques, M; Teixeira, C;
Publicação
PSYCHTECH & HEALTH JOURNAL
Abstract
2020
Autores
Pires, L; Monteiro, M; Vasconcelos-Raposo, J;
Publicação
Revista de Enfermagem Referência
Abstract
2020
Autores
Pires, LM; Monteiro, MJ; Vasconcelos Raposo, JJ;
Publicação
Revista de Enfermagem Referencia
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.
2020
Autores
Fernandes-Marcos, A; Perez, P; Fernandes-Marcos, A;
Publicação
Texto Digital
Abstract
2020
Autores
Schneider, D; Correia, A; Chaves, R; Pimentel, AP; Antelio, M; Lucas, EM; de Almeida, MA; Oliveira, L; de Souza, JM;
Publicação
2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
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.
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.