Towards intelligent control via genetic programming

In this paper an initial approach to Intelligent Control (IC) using Genetic Programming (GP) for access to space applications is presented. GP can be employed successfully to design a controller even for complex systems, where classical controllers fail because of the high nonlinearity of the systems. The main property of GP, that is its ability to autonomously create explicit mathematical equations starting from a very poor knowledge of the considered plant, or just data, can be exploited for a vast range of applications. Here, GP has been used to design the control law in an Intelligent Control framework for a modified version of the Goddard Rocket problem in 3 different failure scenarios, where the approach to IC consists in an online re-evaluation of the control law using GP when a considerably big change in the environment or in the plant happens. The presented results are then used to highlight the potential benefits of the method, as well as aspects that will need further developments

Trajectory optimization of a reusable launch vehicle

A comparison between different direct trajectory optimization methods for a Single Stage to Orbit Reusable Launch Vehicle is carried out and presented. Collocation and multiple-shooting approaches are compared in terms of accuracy, scalability, computational costs, and sensitivity to irregularities of models. The ascent trajectory optimization of the FESTIP-FSS5 Reusable Launch Vehicle is considered

Classifying intelligence in machines : a taxonomy of intelligent control

The quest to create machines that can solve problems as humans do leads us to intelligent control. This field encompasses control systems that can adapt to changes and learn to improve their actions—traits typically associated with human intelligence. In this work we seek to determine how intelligent these classes of control systems are by quantifying their level of adaptability and learning. First we describe the stages of development towards intelligent control and present a definition based on literature. Based on the key elements of this definition, we propose a novel taxonomy of intelligent control methods, which assesses the extent to which they handle uncertainties in three areas: the environment, the controller, and the goals. This taxonomy is applicable to a variety of robotic and other autonomous systems, which we demonstrate through several examples of intelligent control methods and their classifications. Looking at the spread of classifications based on this taxonomy can help researchers identify where control systems can be made more intelligent

The Risk-Taking and Self-Harm Inventory for Adolescents: Validation of the Italian Version (RTSHIA-I)

The aim of the present paper is to establish the factorial validity and reliability of the Risk-Taking and Self-Harm Inventory for Adolescents (RTSHIA), proposed by Vrouva and colleagues in 2010, in an Italian sample. The RTSHIA measures both Risk-Taking and Self-Harm behavior in adolescents. We administered the scale to a total of 1292 Italian adolescents from 9th to 12th grade; to verify the validity of the scale, we also assessed emotion regulation and psychopathological traits. The exploratory factor analysis (EFA) (N = 638) and the confirmatory factor analysis (CFA) (N = 660) confirmed the original two-factor structure of the RTSHIA (Risk-Taking and Self-Harm). The only differences in the Italian version of the RTSHIA (RTSHIA-I) were that one item was moved from the original Risk-Taking factor to the Italian Self-Harm factor, and another item that was not included in the original RTSHIA is now part of the Risk-Taking factor in the Italian version. The reliability of the RTSHIA-I is also confirmed, and both factors correlate with emotion regulation and externalizing/internalizing traits. Our results suggest that the RTSHIA-I is a useful tool for assessing Risk-Taking and Self-Harm behaviors in Italian adolescents, and the correlational patterns indicate that these behaviors may be related to difficulties in mentalization skills

The Risk-based Treatment of Acute Pulmonary Embolism

Risk evaluation and prognostic stratification based upon clinical and radiological findings and new cardiac biomarkers, such as natriuretic peptides (NP) and troponins, represent key points in modern management of acute pulmonary embolism (PE). Literature evidence shows that normotensive PE with right heart dysfunction (RHD), defined as submassive PE, has poorer prognosis when compared to normotensive PE without RHD, defined as non-massive PE; thus whether submassive PE should be managed more aggressively and with closer monitoring represents the crucial question about acute PE treatment. Although the answer is yet unclear, the most recent guidelines address to thrombolysis as treatment choice in selected high risk patients with submassive PE. Guidelines also clarify the indications for unfractioned and low molecular weight heparins and fondaparinux. Therefore, in the present article, the authors focus on modern risk-based therapeutic guidelines of acute PE

Investigation of Possible Factors Influencing the Neutralizing Anti-SARS-CoV-2 Antibody Titer after Six Months from the Second Vaccination Dose in a Sample of Italian Nursing Home Personnel

The titer of the anti-SARS-CoV-2 antibodies produced after vaccination shows a relevant decay over time, as demonstrated in several studies. However, less is known on the possible factors affecting the entity of this decay. The aim of this study is to analyze a group of individual factors which are possibly associated with anti-SARS-CoV-2 antibody titer decay six months after the second vaccine dose. We report here the results of a follow-up serological analysis and a questionnaire-based evaluation of a sample of workers from an Italian nursing home, vaccinated with two doses of BNT162b2 vaccine in early 2021. The baseline data were collected one month after the vaccine, while in the present analysis we report the data collected six months later. Our data show a relevant decay of the neutralizing antibody titer, even if for all the workers a largely positive response was detected. Moreover, our results demonstrate a possible association between younger age and the absence of previous COVID-19 infection, and a higher decay rate of the anti-SARS-CoV-2 antibodies titer

Neutralizing Anti-SARS-CoV-2 Antibody Titer and Reported Adverse Effects, in a Sample of Italian Nursing Home Personnel after Two Doses of the BNT162b2 Vaccine Administered Four Weeks Apart

Background: The immunization of healthcare workers (HCWs) plays a recognized key role in prevention in the COVID-19 pandemic: in Italy, the vaccination campaign began at the end of December 2020. A better knowledge of the on-field immune response in HCWs, of adverse effects and of the main factors involved is fundamental. Methods: We performed a study on workers at a nursing home in Northern Italy, vaccinated in January–February 2021 with two doses of the BNT162b2 vaccine four weeks apart, instead of the three weeks provided for in the original manufacturer protocol. One month after the second dose, the serological titer of IgG-neutralizing anti-RBD antibodies of the subunit S1 of the spike protein of SARS-CoV-2 was determined. The socio-demographic and clinical characteristics of the subjects and adverse effects of vaccination were collected by questionnaire. Results: In all of the workers, high antibody titer, ranging between 20 and 760 times the minimum protective level were observed. Titers were significantly higher in subjects with a previous COVID-19 diagnosis. Adverse effects after the vaccine were more frequent after the second dose, but no severe adverse effects were observed. Conclusions: The two doses of the BNT162b2 vaccine, even if administered four weeks apart, induced high titers of anti-SARS-CoV-2 neutralizing IgG in all the operators included in the study

Association between proton-pump inhibitors (PPI) and metronomic capecitabine (MCAP) as salvage treatment for patients with advanced gastro-intestinal tumoursa. A randomized phase II study

Background: Several researches have shown that acidification of tumor microenvironment is the basis for tumor invasiveness, ability to metastasize S382 Abstracts and cytotoxic agents resistance; therefore proton pump inhibitors (PPI) could significantly increase the chemosensitivity. In our retrospective work we have investigated the role of capecitabine (mCAP) at metronomic dosage of 1500 mg/die as salvage chemotherapy in patients with metastatic colorectal cancer, showing a moderately activity and well tolerability. In this prospective study we evaluated safety and activity of mCAP in the advanced gastro-intestinal patients and the putative chemosensitizing activity of a specific PPI (Rabeprazole) in association to this therap

Convolutional Generative Adversarial Network, via Transfer Learning, for traditional Scottish music generation

The concept of a Binary Multi-track Sequential Generative Adversarial Network (BinaryMuseGAN) used for the generation of music has been applied and tested for various types of music. However, the concept is yet to be tested on more specific genres of music such as traditional Scottish music, for which extensive collections are not readily available. Hence exploring the capabilities of a Transfer Learning (TL) approach on these types of music is an interesting challenge for the methodology. The curated set of MIDI Scottish melodies was preprocessed in order to obtain the same number of tracks used in the BinaryMuseGAN model; converted into pianoroll format and then used as training set to fine tune a pretrained model, generated from the Lakh MIDI dataset. The results obtained have been compared with the results obtained by training the same GAN model from scratch on the sole Scottish music dataset. Results are presented in terms of variation and average performances achieved at different epochs for five performance metrics, three adopted from the Lakh dataset (qualified note rate, polyphonicity, tonal distance) and two custom defined to highlight Scottish music characteristics (dotted rhythm and pentatonic note). From these results, the TL method shows to be more effective, with lower number of epochs, to converge stably and closely to the original dataset reference metrics values

Intelligent control : a taxonomy

In this paper we highlight the stages of development towards intelligent control and define it based on literature. Furthermore, we propose a novel taxonomy of intelligent control methods which categorises these based on their level of uncertainty in three areas: the environment, the control system, and the goals. These areas are consistent with the key elements of intelligent control present in existing definitions. Using this taxonomy, we present some example intelligent control methods and their classifications to illustrate the applicability of the taxonomy