Human resources for Big Data professions: A systematic classification of job roles and required skill sets

The rapid expansion of Big Data Analytics is forcing companies to rethink their Human Resource (HR) needs. However, at the same time, it is unclear which types of job roles and skills constitute this area. To this end, this study pursues to drive clarity across the heterogeneous nature of skills required in Big Data professions, by analyzing a large amount of real-world job posts published online. More precisely we: 1) identify four Big Data ‘job families’; 2) recognize nine homogeneous groups of Big Data skills (skill sets) that are being demanded by companies; 3) characterize each job family with the appropriate level of competence required within each Big Data skill set. We propose a novel, semi-automated, fully replicable, analytical methodology based on a combination of machine learning algorithms and expert judgement. Our analysis leverages a significant amount of online job posts, obtained through web scraping, to generate an intelligible classification of job roles and skill sets. The results can support business leaders and HR managers in establishing clear strategies for the acquisition and the development of the right skills needed to leverage Big Data at best. Moreover, the structured classification of job families and skill sets will help establish a common dictionary to be used by HR recruiters and education providers, so that supply and demand can more effectively meet in the job marketplace.     

Nonlinear Control of pressurized water reactors with uncertainties estimation via high order sliding mode

In this work, dynamic controllers are designed for reactor power, pressurizer water level, and pressure control in the primary circuit of a pressurized water reactor. These nonlinear controllers use super-twisting sliding-mode estimators to enhance their robustness versus parameter variations and external disturbances. Hence, the perturbative terms can be canceled by the control, thus improving the dynamic behavior of the controlled system. The designed controllers ensure good performances and better transient behavior, also in the presence of uncertainties and disturbances. A performance study of the proposed controllers is carried out in the presence also of unmodeled dynamics.     

Swiss Children's Moral and Psychological Judgments About Inclusion and Exclusion of Children With Disabilities

Children's judgments about inclusion and exclusion of children with disabilities were investigated in a Swiss sample of 6‐, 9‐, and 12‐year‐old children from inclusive and noninclusive classrooms (N = 422). Overall, the majority of children judged it as morally wrong to exclude children with disabilities. Yet, participants were less likely to expect the inclusion of children with mental or physical disabilities in academic and athletic contexts compared to social contexts. Moreover, older children more consistently coordinated disability type with context of exclusion. There were also significant differences depending on the type of classroom. The findings extend existing research on exclusion by investigating exclusion based on disability across different age groups and educational settings.