L'attuazione regionale del diritto europeo

Il saggio descrive i meccanismi previsti dagli ordinamenti regionali per dare attuazione al diritto U

Umberto Tupini presidente della prima sottocommissione dell'Assemblea costituente

Il saggio esamina il ruolo di Tupini, mettendo in evidenza le sue capacit\ue0 di guida dell'organo. Inoltre, sottolinea che l'uomo politico democristiano tenne una condotta imparziale ad eccezione delle tematiche che toccavano le sue convinzioni religiose

Pathological complete response in breast cancer patients receiving neoadjuvant chemotherapy.

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Incremental Predictive Process Monitoring: How to Deal with the Variability of Real Environments

A characteristic of existing predictive process monitoring techniques is to first construct a predictive model based on past process executions, and then use it to predict the future of new ongoing cases, without the possibility of updating it with new cases when they complete their execution. This can make predictive process monitoring too rigid to deal with the variability of processes working in real environments that continuously evolve and/or exhibit new variant behaviors over time. As a solution to this problem, we propose the use of algorithms that allow the incremental construction of the predictive model. These incremental learning algorithms update the model whenever new cases become available so that the predictive model evolves over time to fit the current circumstances. The algorithms have been implemented using different case encoding strategies and evaluated on a number of real and synthetic datasets. The results provide a first evidence of the potential of incremental learning strategies for predicting process monitoring in real environments, and of the impact of different case encoding strategies in this setting

Model-Based Calibration and Control of Tailpipe Nitrogen Oxide Emissions in a Light-Duty Diesel Engine and Its Assessment through Model-In-The-Loop

The present paper investigates two different strategies for model-based calibration and control of tailpipe nitrogen oxide emissions in a light-duty 3.0 L diesel engine equipped with an aftertreatment system (ATS). The latter includes a diesel oxidation catalyst (DOC), a diesel particulate filter (DPF), and an underfloor selective catalytic reduction (SCR) device, in which the injection of diesel exhaust fluid (DEF), marketed as ‘AdBlue’, is also taken into account. The engine was modeled in the GT-SUITE environment, and a previously developed model-based combustion controller was integrated in the model, which is capable of adjusting the start of injection of the main pulse and the total injected fuel mass, in order to achieve desired targets of engine-out nitrogen oxide emissions (NOx) and brake mean effective pressure (BMEP). First, a model-based calibration strategy consisting of the minimization of an objective function that takes into account fuel consumption and AdBlue injection was developed and assessed by exploring different weight factors. Then, a direct model-based controller of tailpipe nitrogen oxide emissions was designed, which exploits the real-time value of the SCR efficiency to define engine-out NOx emission targets for the combustion controller. Both strategies exploit the model-based combustion controller and were tested through a Model-in-the-Loop (MiL) under steady-state and transient conditions. The advantages in terms of tailpipe NOx emissions, fuel consumption, and AdBlue injection were finally discussed

Appearances are deceiving: Observing the world as it looks and how it really is. Theory of mind performances investigated in 3-, 4-, and 5-year-old children

Appearance-reality (AR) distinction understanding in preschoolers is worth of further consideration. This also goes for its relationship with false-belief (FB) understanding. This study helped fill these gaps by assessing 3-, 4-, and 5-year-old children’s performances on an appearance-reality distinction task and by investigating relationships with unexpected location, deceptive content, and deception comprehension task performances. 91 preschoolers participated in this study divided into 3 groups: (1) 37 children, M-age 3.4 years; (2) 23 children, M-age 4.5 years; (3) 31 children, M-age 5.4 years. A developmental trend was found where appearance-reality distinction understanding was significantly influenced by age. If wrong answers were particularly high by 3-year-old children, they greatly decreased by 4- and 5-year-old children. 3-year-old children also tended to fail in FB tasks; instead 4- and 5-year-old children performed AR tasks better than FB tasks. Theoretical and practical implications were discussed