Molecular phylogenesis of Mediterranean Octocorals

In order to support the conservation of the Mediterranean octocorals improvements on information regarding their taxonomic units and phylogenetic relationships are strongly needed. In the present thesis work, phylogenetic analyses based on the mitochondrial mtMSH and 16S genes were performed including 15 Mediterranean octocorals species on the 56 recognized to date. Moreover, an extended datasets with Atlanto/Pacific congeners Octocorallia species was implemented to clarify their phylogenetic relationships and estimate the divergence times of the Mediterranean species. Results indicated that: 1) there are similarity and differences among molecular and morphological traits depending on the taxonomical level considered; 2) the molecular phylogeny of the Mediterranean octocorals retrace the previous relationships based on wide octocorals analyses; and 3) the divergence time among Mediterranean and Atlanto/Pacific species varies depending on analysed taxa. At higher taxonomic level, the Mediterranean trees supported the division of the Mediterranean Octocorallia into one major clade (Alcyoniina-Holaxonia) plus two unresolved branch including the single species available of Scleraxonia and Stolonifera respectively. This topology was better supported including the Atlanto/Pacific congeners species. The molecular evidence suggested that Alcyonium palmatum and Corallium rubrum species are the youngest with a divergence time estimated around 4 MYA. Particularly, C. rubrum results were in agreement with the hypothesis that recent orogenesis process of the Mediterranean Sea promoted the allopatric speciation of this specie. Increasing the sample design and implementing the emerging next-generation genomic-sequencing technologies, further studies would be able to improve the understanding of the Mediterranean octocorals phylogenetic relationships and evolution.

Molecular phylogeny and historical zoogeography of four genera of Eastern Atlantic skates (Rajiformes, Rajidae)

The aim of this study was to reconstruct a solid phylogeny of four genera of the Rajidae family (Chondrichthyans: Batoidea) using a concatenated alignment of mtDNA genes. Then use the resultant tree to estimate divergence time between taxa based on molecular clock and fossil calibration and conduct biogeographic analysis. The intent was to prove that the actual distribution of species of Eastern Atlantic and Mediterranean skates is due to a series of vicariant events. The species considered belongs to two different tribe: Rajini (Raja and Dipturus) and Amblyrajini (Leucoraja and Rajella). The choice of this genera is due to their high presence in the area of interest and to the richness of endemic species. The results show that despite the ancient origin of Rajidae (97 MYA), the Eastern Atlantic and Mediterranean faunas originated more recently, during Middle Miocene-Late Pliocene, after the closure of connection between these areas and the Indo-Pacific ocean (15 MYA). The endemic species of the Mediterranean (Raja asterias, R. radula, R. polystigma and Leucoraja melitensis) originated after the Messinian salinity crisis (7-5 MYA), when the recolonization of the basin occurred, and are still maintained in allopatric distribution by the presence of biogeographic barriers. Moreover from 4 to 2.6 MYA we can observe the formation of sister species for Raja, Leucoraja and Rajella, one of which has a Northern distribution, and the other has a Southern distribution (R. clavata vs R. straeleni, L. wallacei vs L. naevus, R. fyllae vs R. caudaspinosa and R. kukujevi vs R. leopardus + R. barnardi). The Quaternary and present oceanographic discontinuities that occur along the western African continental shelf (e.g., Cape Blanc and the Angola–Benguela Front) might contribute to the maintenance of low or null levels of gene flow between these closely related siblings species. Also sympatric speciation must be invoked to explain the evolution of skates, for example for the division between R. leopardus and R. barnardi. The speciation processes followed a south-to-north pathways for Dipturus and a north-to-south pathways for Raja, Leucoraja and Rajella underling that the evolution of the genera occurred independently. In the end, it is conceivable that the evolutionary pathways of the tribes followed the costal line during the gondwana fragmentation. The results demonstrate that the evolution of this family is characterized by a series of parallel and independent speciation events, strictly correlated to the tectonic movement of continental masses and paleogeographic and paleoclimatic events and so can be explained by a panbiogeographical (vicariance) model.

Multicentre study for a robust protocol in single-voxel spectroscopy: quantification of MRS signals by time-domain fitting algorithms

Magnetic Resonance Spectroscopy (MRS) is an advanced clinical and research application which guarantees a specific biochemical and metabolic characterization of tissues by the detection and quantification of key metabolites for diagnosis and disease staging. The "Associazione Italiana di Fisica Medica (AIFM)" has promoted the activity of the "Interconfronto di spettroscopia in RM" working group. The purpose of the study is to compare and analyze results obtained by perfoming MRS on scanners of different manufacturing in order to compile a robust protocol for spectroscopic examinations in clinical routines. This thesis takes part into this project by using the GE Signa HDxt 1.5 T at the Pavillion no. 11 of the S.Orsola-Malpighi hospital in Bologna. The spectral analyses have been performed with the jMRUI package, which includes a wide range of preprocessing and quantification algorithms for signal analysis in the time domain. After the quality assurance on the scanner with standard and innovative methods, both spectra with and without suppression of the water peak have been acquired on the GE test phantom. The comparison of the ratios of the metabolite amplitudes over Creatine computed by the workstation software, which works on the frequencies, and jMRUI shows good agreement, suggesting that quantifications in both domains may lead to consistent results. The characterization of an in-house phantom provided by the working group has achieved its goal of assessing the solution content and the metabolite concentrations with good accuracy. The goodness of the experimental procedure and data analysis has been demonstrated by the correct estimation of the T2 of water, the observed biexponential relaxation curve of Creatine and the correct TE value at which the modulation by J coupling causes the Lactate doublet to be inverted in the spectrum. The work of this thesis has demonstrated that it is possible to perform measurements and establish protocols for data analysis, based on the physical principles of NMR, which are able to provide robust values for the spectral parameters of clinical use.

Divergence patterns in Fucus seaweeds (Phaeophyceae) in the northern Baltic Sea and in the Tjongspollen area

To be able to interpret patterns of biodiversity it is important to understand the processes by which new species evolve and how closely related species remain reproductively isolated and ecologically differentiated. Divergence and differentiation can vary during speciation and it can be seen in different stages. Groups of closely related taxa constitute important case studies to understand species and new biodiversity formation. However, it is important to assess the divergence among them at different organismal levels and from an integrative perspective. For this purpose, this study used the brown seaweeds genus Fucus as a model to study speciation, as they constitute a good opportunity to study divergence at different stages. We investigated the divergence patterns in Fucus species from two marginal areas (northern Baltic Sea and the Tjongspollen area), based on phenetic, phylogenetic and biological taxonomical criteria that are respectively characterised by algal morphology, allele frequencies of five microsatellite loci and levels of secondary polyphenolic compounds called phlorotannins. The results from this study showed divergence at morphological and genetic levels to certain extent but complete lack of divergence at biochemical level (i.e. constitutive phlorotannin production) in the Baltic Sea or Norway. Morphological divergence was clearly evident in Tjongspollen (Norway) among putative taxa as they were identified in the field and this divergence corresponds with their neutral genetic divergence. In the Baltic, there are some distinguishable patterns in the morphology of the swedish and finnish individuals according to locality to certain extent but not among putative taxa within localities. Likewise, these morphological patterns have genetic correspondence among localities but not within each locality. At the biochemical level, measured by the phlorotannin contents there were neither evidence of divergence in Norway or the Baltic Sea nor any discernable aggregation pattern among or within localities. Our study have contributed with further understanding of the Baltic Sea Fucus system and its intriguingly rapid and recent divergence as well as of the Tjongspollen area systems where formally undescribed individuals have been observed for the first time; in fact they appear largely differentiated and they may well warrant a new species status. In current times, climate change threatens, peripheral ecosystems, biodiversity, and increased knowledge of processes generating and maintaining biodiversity in those ecosystems seem particularly important and needed.

Generic wind estimation and compensation based on residual generators and higher-order sliding mode schemes

This master thesis proposes a solution to the approach problem in case of unknown severe microburst wind shear for a fixed-wing aircraft, accounting for both longitudinal and lateral dynamics. The adaptive controller design for wind rejection is also addressed, exploiting the wind estimation provided by suitable estimators. It is able to successfully complete the final approach phase even in presence of wind shear, and at the same time aerodynamic envelope protection is retained. The adaptive controller for wind compensation has been designed by a backstepping approach and feedback linearization for time-varying systems. The wind shear components have been estimated by higher-order sliding mode schemes. At the end of this work the results are provided, an autonomous final approach in presence of microburst is discussed, performances are analyzed, and estimation of the microburst characteristics from telemetry data is examined.

Deep Learning Architectures for time of arrival detection in Acoustic Emissions Monitoring

Acoustic Emission (AE) monitoring can be used to detect the presence of damage as well as determine its location in Structural Health Monitoring (SHM) applications. Information on the time difference of the signal generated by the damage event arriving at different sensors is essential in performing localization. This makes the time of arrival (ToA) an important piece of information to retrieve from the AE signal. Generally, this is determined using statistical methods such as the Akaike Information Criterion (AIC) which is particularly prone to errors in the presence of noise. And given that the structures of interest are surrounded with harsh environments, a way to accurately estimate the arrival time in such noisy scenarios is of particular interest. In this work, two new methods are presented to estimate the arrival times of AE signals which are based on Machine Learning. Inspired by great results in the field, two models are presented which are Deep Learning models - a subset of machine learning. They are based on Convolutional Neural Network (CNN) and Capsule Neural Network (CapsNet). The primary advantage of such models is that they do not require the user to pre-define selected features but only require raw data to be given and the models establish non-linear relationships between the inputs and outputs. The performance of the models is evaluated using AE signals generated by a custom ray-tracing algorithm by propagating them on an aluminium plate and compared to AIC. It was found that the relative error in estimation on the test set was < 5% for the models compared to around 45% of AIC. The testing process was further continued by preparing an experimental setup and acquiring real AE signals to test on. Similar performances were observed where the two models not only outperform AIC by more than a magnitude in their average errors but also they were shown to be a lot more robust as compared to AIC which fails in the presence of noise.

Back-in-time void finder: dynamical detection of cosmic voids for precision cosmology

Cosmic voids are vast and underdense regions emerging between the elements of the cosmic web and dominating the large-scale structure of the Universe. Void number counts and density profiles have been demonstrated to provide powerful cosmological probes. Indeed, thanks to their low-density nature and they very large sizes, voids represent natural laboratories to test alternative dark energy scenarios, modifications of gravity and the presence of massive neutrinos. Despite the increasing use of cosmic voids in Cosmology, a commonly accepted definition for these objects has not yet been reached. For this reason, different void finding algorithms have been proposed during the years. Voids finder algorithms based on density or geometrical criteria are affected by intrinsic uncertainties. In recent years, new solutions have been explored to face these issues. The most interesting is based on the idea of identify void positions through the dynamics of the mass tracers, without performing any direct reconstruction of the density field. The goal of this Thesis is to provide a performing void finder algorithm based on dynamical criteria. The Back-in-time void finder (BitVF) we present use tracers as test particles and their orbits are reconstructed from their actual clustered configuration to an homogeneous and isotropic distribution, expected for the Universe early epoch. Once the displacement field is reconstructed, the density field is computed as its divergence. Consequently, void centres are identified as local minima of the field. In this Thesis work we applied the developed void finding algorithm to simulations. From the resulting void samples we computed different void statistics, comparing the results to those obtained with VIDE, the most popular void finder. BitVF proved to be able to produce a more reliable void samples than the VIDE ones. The BitVF algorithm will be a fundamental tool for precision cosmology, especially with upcoming galaxy-survey.

An Embedded In-Cabin Lightweight High-Performance 3D Gaze Estimation System

Gaze estimation has gained interest in recent years for being an important cue to obtain information about the internal cognitive state of humans. Regardless of whether it is the 3D gaze vector or the point of gaze (PoG), gaze estimation has been applied in various fields, such as: human robot interaction, augmented reality, medicine, aviation and automotive. In the latter field, as part of Advanced Driver-Assistance Systems (ADAS), it allows the development of cutting-edge systems capable of mitigating road accidents by monitoring driver distraction. Gaze estimation can be also used to enhance the driving experience, for instance, autonomous driving. It also can improve comfort with augmented reality components capable of being commanded by the driver's eyes. Although, several high-performance real-time inference works already exist, just a few are capable of working with only a RGB camera on computationally constrained devices, such as a microcontroller. This work aims to develop a low-cost, efficient and high-performance embedded system capable of estimating the driver's gaze using deep learning and a RGB camera. The proposed system has achieved near-SOTA performances with about 90% less memory footprint. The capabilities to generalize in unseen environments have been evaluated through a live demonstration, where high performance and near real-time inference were obtained using a webcam and a Raspberry Pi4.