The Simon effect and its time courses: an investigation

The objective of the current thesis is to investigate the temporal dynamics (i.e., time courses) of the Simon effect, both from a theoretical and experimental point of view, for a better understanding of whether a) one or more process are responsible for the Simon effect and b) how this/these mechanism/s differently influence performance. In the first theoretical (i.e., “Theoretical Overview”) part, I examined in detail the process and justification for analyzing the temporal dynamics of the Simon effect and the assumptions that underlie interpretation of the results which have been obtained in the existing literature so far. In the second part (“Experimental Investigations”), though, I experimentally investigated several issues which the existing literature left unsolved, in order to get further evidence in favor or in contrast with the mainstream models which are currently used to account for the different Simon effect time courses. Some points about the experiments are worth mentioning: First, all the experiments were conducted in the laboratory, facing participants with stimuli presented on a PC screen and then recording their responses. Both stimuli presentation and response collection was controlled by the E-Prime software. The dependent variables of interest were always behavioral measures of performance, such as velocity and accuracy. Second, the most part of my experiments had been conducted at the Communication Sciences Department (University of Bologna), under Prof. Nicoletti’s supervision. The remaining part, though, had been conducted at the Psychological Sciences Department of Purdue University (West Lafayette, Indiana, USA), where I collaborated for one year as a visiting student with Prof. Proctor and his team. Third, my experimental pool was entirely composed by healthy and young students, since the cognitive functioning of elderly people was not the target of my research.

Employment of Real-Time/FPGA Architectures for Test and Control of Automotive Engines

Nowadays the production of increasingly complex and electrified vehicles requires the implementation of new control and monitoring systems. This reason, together with the tendency of moving rapidly from the test bench to the vehicle, leads to a landscape that requires the development of embedded hardware and software to face the application effectively and efficiently. The development of application-based software on real-time/FPGA hardware could be a good answer for these challenges: FPGA grants parallel low-level and high-speed calculation/timing, while the Real-Time processor can handle high-level calculation layers, logging and communication functions with determinism. Thanks to the software flexibility and small dimensions, these architectures can find a perfect collocation as engine RCP (Rapid Control Prototyping) units and as smart data logger/analyser, both for test bench and on vehicle application. Efforts have been done for building a base architecture with common functionalities capable of easily hosting application-specific control code. Several case studies originating in this scenario will be shown; dedicated solutions for protype applications have been developed exploiting a real-time/FPGA architecture as ECU (Engine Control Unit) and custom RCP functionalities, such as water injection and testing hydraulic brake control.

Precarious employment and social reproduction: the impact on health and well-being

This dissertation aims to make a theoretical and empirical contribution to the debate on precarious employment, social reproduction and the impact on health and well-being. In recent years, numerous studies have examined the effect of precarious employment as a social determinant on health and well-being, focusing on gender differences in this phenomenon. Within this framework, the research design is to investigate this topic quantitatively in the United Kingdom using longitudinal data to assess the long-term effects of precarious employment and informal care work on health. More specifically, the aim of this thesis is to investigate the impact of precarious employment on health and to analyze gender differences within this phenomenon, particularly in relation to the role of informal care work. The analysis shows that precarious employment is indeed associated to a detrimental effect on health and that this effect is stronger for women’s mental health. Additionally, the analysis shows that time spent on informal care work explains part of the gender gap in mental health, and that informal care and the number of hours spent on it are associated with worse mental health for women. Finally, during the first few months of Covid-19, for both men and women, performing more hours of care work on average is associated with worse mental health, showing that it is not so much the change from fewer to more hours that affects health, but rather those who do more hours on average, hence the long-term effect of being an intensive informal carer.