Introduction: Labor insertion for young people is probably more difficult nowadays than it was a few decades ago in all productive sectors and in academic education. A few decades ago, having a university degree was a guarantee of quick labor insertion, but nowadays, although having a university degree may somewhat alleviate the unemployment rate, it is still high  among recent university graduates. In this paper, we show the differential profile of the companies who do hire recent graduates as compared to those who do not.Methodology: We worked with a sample of 1,325 employers from the business world of Catalonia, who were administered the questionnaire prepared adhoc during 2014. Results: The main results show that the more workers a company has, the higher the probability that they will hire recent graduates. Companies with a high percentage of graduated  workers are more likely to hire recent graduates. Companies who are willing to work with Agency for the Quality of the University System of Catalonia hire more than those who are not. And finally, the service sector hires more than construction or industry.Conclusions: In the present study we have shown a differential pattern between the companies that hire recent graduates or not, a very important aspect because this could help define university policies to facilitate the transition to the labor market.

BackgroundType 1 diabetes mellitus (T1D) affects the entire cellular network of the organism. Some patients develop cognitive disturbances due to the disease, but several authors have suggested that the brain develops compensatory mechanisms to minimize or prevent neuropsychological decline. The present study aimed to assess the effective connectivity underlying visuospatial working memory performance in young adults diagnosed with T1D using neuroimaging techniques (fMRI).MethodsFifteen T1D right-handed, young adults with sustained metabolic clinical stability and a control group matched by age, sex, and educational level voluntarily participated. All participants performed 2 visuospatial working memory tasks using a block design within an MRI scanner. Regions of interest and their signal values were obtained. Effective connectivity—by means of structural equations models—was evaluated for each group and task through maximum likelihood estimation, and the model with the best fit was chosen in each case.ResultsCompared to the control group, the patient group showed a significant reduction in brain activity in the two estimated networks (one for each group and task). The models of effective connectivity showed greater brain connectivity in healthy individuals, as well as a more complex network. T1D patients showed a pattern of connectivity mainly involving the cerebellum and the red nucleus. In contrast, the control group showed a connectivity network predominantly involving brain areas that are typically activated while individuals are performing working memory tasks.ConclusionOur results suggest a specific effective connectivity between the cerebellum and the red nucleus in T1D patients during working memory tasks, probably reflecting a compensatory mechanism to fulfill task demands.