Carrier optimization using CAD software and biologically inspired algorithms

This paper presents a comparative analysis of the application of biologically inspired algorithms and methodologies in CAD software packages, for determining the optimal profile values in carriers with two independent variables. As an example of a biologically inspired algorithm to solve this optimization problem, the scroll algorithm was applied, while the SolidWorks software package was used as an example of CAD.

Longitudinal Associations Between Parenting Practices and Youth Sleep Problems

Objective: Sleep problems among youth are highly prevalent and associated with adjustment difficulties. When considering influences on youth's sleep, parenting practices have been previously linked to poor sleep in youth. However, research is lacking on which parenting practices longitudinally predict the development and maintenance of sleep problems in youth. Additionally, sensitive periods for this link are mostly unknown. The current study examined longitudinal relations between constellations of parenting practices and youth sleep health in order to identify profiles of parenting practices that are predictive of sleep problems in youth across different developmental stages. Method: Participants were 292 parents (M = 36.51, SD = 7.3) of children between the ages of 3 and 14 (M = 8.4, SD = 3.6). A person-centered approach was employed to create profiles across positive and negative parenting practices, as well as supportive and unsupportive parental emotion socialization strategies. Parenting profiles were then examined as longitudinal predictors of youth sleep problems. Results: Findings revealed three distinct parenting profiles, which consisted of one optimal profile, a second intermediate profile, and a third maladaptive profile. These parenting profiles were differentially associated with sleep problems in youth, with the optimal profile predicting the lowest levels of sleep problems and the maladaptive profile predicting the highest levels of sleep problems, particularly among peripubertal youth. Conclusion: This study extends previous findings by elucidating distinct constellations of parenting practices that are differentially predictive of youth sleep problems and highlighting parenting as a crucial and longitudinal contributor to youth’s sleep health.

OPTIMIZATION OF THE PROFESSIONALS SELECTION AND TRAINING BY ARTIFICIAL INTELLIGENCE

The investment in training and the improvement in the professional's abilities should anticipate an evolution in the professional's performance, but how could we estimate the probability of performance improvement from a formative action? The present work tries to quantify this using a study on 447 surveys carried out by Overlap consultant firm to professionals of the sales force of one of its clients. With this information, an artificial intelligence model has been trained. This model quantifies the relationship between skills and training on the performance of the professional and allows to measure how the probability of a better performance would increase after a training course or improvement capacity. Thus, the artificial intelligence model can be used to define the optimal profile of the professional that should carry out this activity, a profile to seek in the selection processes and in the planning of the company's internal training.