91 research outputs found
Ricerca di Campylobacter coli e Campylobacter jejuni mediante PCR multiplex in carcasse di pollo durante la macellazione
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Software and Sensor Issues for Autonomous Systems based on Machine Learning Solutions
No full textThe paper aims at investigating the most adequate strategies to develop efficient Machine Learning solutions for Autonomous Vehicles used for terrestrial, air, and maritime transportation. The development of systems with capabilities of performing some parts or even a full mission by adopting fully autonomous solutions has encouraged the development of new interfaces with human pilots. Standard interfaces are based on traditional systems that require low-level actions, such as the one related to steering and instrument monitoring. Indeed, autonomous transport systems have the capability to develop complex logic solutions to self-generate low-level actions. In this case, the role of the pilot is the development of high-level decisions rather than low-level steering of the vehicle. This condition permits the pilot to focus his workload on the most important issues related to driving the vehicle, thus reducing the risk of distraction determined by low- level steering. Therefore, the type and the layout of the developed interface will exploit recent technologies, such as touchscreens, voice recognition, and synthetic vision. The interaction looks like the one provided when the pilot relates to other humans rather than a machine. This condition is verified if the transport system is provided with Artificial Intelligence solutions based on Machine Learning. The paper discuss proper testing strategies to evaluate the adoption of specific interfaces in replacement of traditional ones. The final goal is to demonstrate the efficiency of the proposed testing strategies to select adequate interfaces that improve the quality and the safety of transportation. Four case studies are discussed to highlight efficient prototypical systems to be used in these applications. © 2020 IEEE
Analisi di un frammento di mt-DNA mediante un protocollo di PCR per il riconoscimento di specie in prodotti ittici trasformati
No full textIdentificazione e caratterizzazione di specie in prodotti della pesca preparati e trasformati a base di Thunnus thynnus
No full textNatural images and hypoxia: a study on the effects of exposure to natural images in simulated high-altitude conditions.
No full textA high mountain environment is characterized by a decrease in the ambient partial pressure of oxygen (hypoxia), representing a stressful condition capable of altering cognitive functions and emotional states (Ruffini & Cera, 2020). Previous studies have shown that exposure to nature is associated with greater well-being (Bowler, 2010) and promotes recovery from stressful events (Berto, 2014). This contribution aims to examine the psychological and physiological effects of exposure to nature in a controlled laboratory setting, and its potential role as a moderator of the negative effects of hypoxia. In a randomized within-subjects design, participants are shown images of natural or urban environments for 10 minutes while exposed to a normoxia (i.e., air oxygen pressure at sea level) or hypoxia (i.e., air oxygen pressure at 4200 m altitude) laboratory condition. Measures of emotional states are collected before (T1) and after exposure to the images (T2). At the same time, physiological indices (e.g., heart rate, heart rate variability, blood pressure, and ventilatory response) are monitored for the entire experiment duration. Preliminary results on a partial sample confirm the effect of hypoxia on emotional states, with higher levels of negative emotions and lower levels of positive emotions in the hypoxia condition. Finally, natural images appear to moderate this effect; results show a reduction in negative emotions and an increase in positive emotions in both conditions (I.e., normoxia and hypoxia). The potential implications of our findings will be discussed
L’approccio metodologico dell’archeologia dei paesaggi per una revisione critica di un caso studio: le ricognizioni di G. Barker nella Valle del Biferno
No full textThe authors reassess data coming from the archaeological survey conducted by G. Barker in the Biferno Valley (Molise region) during the Seventies, trying to outline the settlement patterns of this area during the Bronze age. This paper analyse all the evidence available from Barker’s study, including sporadic finds, in order to determine not only the character of each settlement, but also the possible use of landscape and its relationship with subsistence activities, in a diachronic perspective
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