The methodological involvement of the emotional design and cognitive ergonomics as a tool in the development of children products

To demonstrate the relationship between design and emotional development for kids, this article offers an initial approach about the definition and historical aspects of emotion in product development, citing the main authors of this issue. Based the field research conducted with children from 2 to 6 years of age, was also describes the basic ideas of Piaget in the child psychology and pre-operational stage (age group studied) and the significance of children's toys from the perspective of Vigostsky. Using this theoretical framework and results of field research, we can infer some emotional design as advocated by the producers of positive affect on humans and its relationship with the child's development and choices of their toys.     

Destructive weighted Poisson cure rate models

In this paper, we develop a flexible cure rate survival model by assuming the number of competing causes of the event of interest to follow a compound weighted Poisson distribution. This model is more flexible in terms of dispersion than the promotion time cure model. Moreover, it gives an interesting and realistic interpretation of the biological mechanism of the occurrence of event of interest as it includes a destructive process of the initial risk factors in a competitive scenario. In other words, what is recorded is only from the undamaged portion of the original number of risk factors.     

Development and Validation of a Self-Reported Measure of Job Performance

Social Indicators Research - The current turbulent context in which we live in requires, more and more, that organisations focus on improving the workers’ performance. Individual performance...     

Defective models induced by gamma frailty term for survival data with cured fraction

In this paper, we propose a defective model induced by a frailty term for modeling the proportion of cured. Unlike most of the cure rate models, defective models have advantage of modeling the cure rate without adding any extra parameter in model. The introduction of an unobserved heterogeneity among individuals has bring advantages for the estimated model. The influence of unobserved covariates is incorporated using a proportional hazard model. The frailty term assumed to follow a gamma distribution is introduced on the hazard rate to control the unobservable heterogeneity of the patients. We assume that the baseline distribution follows a Gompertz and inverse Gaussian defective distributions. Thus we propose and discuss two defective distributions: the defective gamma-Gompertz and gamma-inverse Gaussian regression models. Simulation studies are performed to verify the asymptotic properties of the maximum likelihood estimator. Lastly, in order to illustrate the proposed model, we present three applications in real data sets, in which one of them we are using for the first time, related to a study about breast cancer in the A.C.Camargo Cancer Center, São Paulo, Brazil.