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Advanced statistical models for the segregation, identification and measurement of coexisting sound sources
Get PDFLong-term monitoring of acoustical environments is gaining popularity thanks to the relevant amount of scientific and engineering insights that it provides. The increasing interest is due to the constant growth of storage capacity and computational power to process large amounts of data. In this perspective, machine learning (ML) provides a broad family of data-driven statistical techniques to deal with large databases.
Nowadays, the conventional praxis of sound level meter measurements limits the global description of a sound scene to an energetic point of view. The equivalent continuous level Leq represents the main metric to define an acoustic environment, indeed. Finer analyses involve the use of statistical levels. However, acoustic percentiles are based on temporal assumptions, which are not always reliable.
A statistical approach, based on the study of the occurrences of sound pressure levels, would bring a different perspective to the analysis of long-term monitoring. Depicting a sound scene through the most probable sound pressure level, rather than portions of energy, brought more specific information about the activity carried out during the measurements. The statistical mode of the occurrences can capture typical behaviors of specific kinds of sound sources.
The present work aims to propose an ML-based method to identify, separate and measure coexisting sound sources in real-world scenarios. It is based on long-term monitoring and is addressed to acousticians focused on the analysis of environmental noise in manifold contexts. The presented method is based on clustering analysis. Two algorithms, Gaussian Mixture Model and K-means clustering, represent the main core of a process to investigate different active spaces monitored through sound level meters. The procedure has been applied in two different contexts: university lecture halls and offices. The proposed method shows robust and reliable results in describing the acoustic scenario and it could represent an important analytical tool for acousticians
Sustainable futuring. Learning and unlearning the past A critical discourse study of ‘fashion sustainability’-related discursive formations in Vogue Italia (1965-2021)
Get PDFRecent scholarly works on the relationship between ‘fashion’ and ‘sustainability’ have identified a need for a systemic transition towards fashion media ‘for sustaianbility’. Nevertheless, the academic research on the topic is still limited and rather circumscribed to the analysis of marketing practices, while only recently some more systemic and critical analyses of the symbolic production of sustainability through fashion media have been undertaken. Responding to this need for an in-depth investigation of ‘sustainability’-related media production, my research focuses on the ‘fashion sustainability’-related discursive formations in the context of one of the most influential fashion magazines today – Vogue Italia. In order to investigate the ways in which the ‘sustainability’ discourse was formed and has evolved, the study considered the entire Vogue Italia archive from 1965 to 2021. The data collection was carried out in two phases, and the individualised relevant discursive units were then in-depth and critically analysed to allow for a grounded assessment of the media giant’s position. The Discourse-Historical Approach provided a methodological base for the analysis, which took into consideration the various levels of context: the immediate textual and intertextual, but also the broader socio-cultural context of the predominant, over-production oriented and capital-led fashion system. The findings led to a delineation of the evolution of the ‘fashion sustainability’ discourse, unveiling how despite Vogue Italia’s auto-determination as attentive to ‘sustainability’-related topics, the magazine is systemically employing discursive strategies which significantly mitigate the meaning of the ‘sustainable commitment’ and thus the meaning of ‘fashion sustainability’
Integrated diagnostics in low-grade pediatric gliomas: pilocytic astrocytoma and MAP-Kinase pathway
Get PDFSecondo la classificazione OMS dei Tumori del Sistema Nervoso Centrale pubblicata nel 2021, l'astrocitoma pilocitico appartiene alle lesioni di grado 1.
Questa neoplasia ha un tasso di sopravvivenza a 5 anni di oltre il 95% nei bambini e nei giovani adulti, che è uno dei più alti tassi di sopravvivenza di qualsiasi tumore cerebrale.
Tuttavia sono disponibili pochi dati sul tasso di recidiva della neoplasia nell'arco di 10 anni, nonché sulla progressione a forme anaplastiche.
Scopo di questo lavoro è la revisione di un'ampia casistica di pazienti pediatrici affetti da astrocitoma pilocitico con un lungo periodo di follow-up, correlando ai dati clinici le alterazioni molecolari del pathway delle MAP-Kinasi (descritte come le più frequenti in questa entità).According to the WHO Classification of Tumors of the Central Nervous System published in 2021, pilocytic astrocytoma belongs to grade 1 lesions.
This neoplasm has a 5-year survival rate of over 95 percent in children and young adults, which is one of the highest survival rates of any brain tumor.
However few details are available about the rate of recurrence of the neoplasia over 10 years, as well as about the incidence of progression to anaplastic forms.
The aim of this work is the review of a large series of pediatric patients affected by pilocytic astrocytoma in a long follow-up period, correlating the clinical data to the MAP-kinase pathway alterations, described as the most frequent in this entity
Analysis of extracellular vesicles from patients with advanced pancreatic cancer identifies miRNAs with predictive value for treatment with gemcitabine + nab-paclitaxel
Get PDFPancreatic cancer (PC) is the seventh leading cause of cancer death. Despite recent therapy advancements, 5-year survival is 11%. Resistance to therapy is common, and no predictive factors, except for BRCA1/2 and PALB2 mutations, can drive treatment selection. Based on the easy isolation of extracellular vesicles (EVs) from blood and the role of EV-borne miRNAs in chemoresistance, we analyzed EVs and their miRNA content in order to identify predictive factors. First, we analyzed samples from 28 PC patients and 7 healthy subjects, in order to establish methods for isolation and analysis of EVs and their miRNA content. We observed a significantly different expression of 28 miRNAs, including oncogenic or tumor suppressor miRNAs, showing the ability of our approach to detect candidate biomarkers. Then, we analyzed samples of 21 advanced PC patients, collected before first-line treatment with gemcitabine + nab-paclitaxel, and compared findings in responders and non-responders. EVs have been analyzed with Nanoparticle tracking analysis, flow cytometry and RNA-Seq; then, laboratory results have been matched with clinical data. Nanoparticle tracking analysis did not show any significant difference. Flow cytometry showed a lower expression of SSE4 and CD81 in responders. Finally, miRNA analysis showed 25 upregulated and 19 downregulated miRNAs in responders. In particular, in responders we observed upregulation of miR-141-3p, miR-141-5p, miR-200a-3p, miR-200b-3p, miR-200c-3p, miR-375-3p, miR-429, miR-545-5p. These miRNAs have targets with a previously reported role in PC. In conclusion, we show the feasibility of the proposed approach to identify EV-derived biomarkers with predictive value for therapy with gemcitabine + nab-paclitaxel in PC. Our findings highlight the possibility to exploit liquid biopsy for personalized treatment in PC, in order to maximize chances of response and patients’ outcome. These findings are worthy of further investigation: in the same setting, with different chemotherapy schedules, and in different disease settings such as preoperative therapy
Retrieval of atmospheric trace gases from DOAS/MAX-DOAS ground-based spectra
Get PDFThe study of the atmospheric chemical composition is crucial to understand the climate changes that we are experiencing in the last decades and to monitor the air quality over industrialized areas. The Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) ground-based instruments are particularly suitable to derive the concentration of some trace gases that absorb the Visible (VIS) and Ultra-Violet (UV) solar radiation. The zenith-sky spectra acquired by the Gas Analyzer Spectrometer Correlating Optical Differences / New Generation 4 (GASCOD/NG4) instrument are exploited to retrieve the NO2 and O3 total Vertical Column Densities (VCDs) over Lecce. The results show that the NO2 total VCDs are significantly affected by the tropospheric content, consequence of the anthropogenic activity. Indeed, they present systematically lower values during Sunday, when less traffic is generally present around the measurement site, and during windy days, especially when the wind direction measured at 2 m height is not from the city of Lecce.
Another MAX-DOAS instrument (SkySpec-2D) is exploited to create the first Italian MAX-DOAS site compliant to the Fiducial Reference Measurements for DOAS (FRM4DOAS) standards, in San Pietro Capofiume (SPC), located in the middle of the Po Valley. After the assessment of the SkySpec-2D’s performances through two measurement campaigns taken place in Bologna and in Rome, SkySpec-2D is installed in SPC on the 1st October 2021. Its MAX-DOAS spectra are used to retrieve the NO2 and O3 total VCDs, and aerosol extinction and NO2 tropospheric vertical profiles over the Po Valley exploiting the Bremen Optimal estimation REtrieval for Aerosol and trace gaseS (BOREAS) algorithm. Promising results are found, with high correlations against both in-situ and satellite data. In the future, these data will play an important role for air quality studies over the Po Valley and for satellite validation purposes
Analysis of earthquakes predictability
Get PDFEarthquake prediction is a complex task for scientists due to the rare occurrence of high-intensity earthquakes and their inaccessible depths. Despite this challenge, it is a priority to protect infrastructure, and populations living in areas of high seismic risk. Reliable forecasting requires comprehensive knowledge of seismic phenomena. In this thesis, the development, application, and comparison of both deterministic and probabilistic forecasting methods is shown. Regarding the deterministic approach, the implementation of an alarm-based method using the occurrence of strong (fore)shocks, widely felt by the population, as a precursor signal is described. This model is then applied for retrospective prediction of Italian earthquakes of magnitude M≥5.0,5.5,6.0, occurred in Italy from 1960 to 2020. Retrospective performance testing is carried out using tests and statistics specific to deterministic alarm-based models. Regarding probabilistic models, this thesis focuses mainly on the EEPAS and ETAS models. Although the EEPAS model has been previously applied and tested in some regions of the world, it has never been used for forecasting Italian earthquakes. In the thesis, the EEPAS model is used to retrospectively forecast Italian shallow earthquakes with a magnitude of M≥5.0 using new MATLAB software. The forecasting performance of the probabilistic models was compared to other models using CSEP binary tests. The EEPAS and ETAS models showed different characteristics for forecasting Italian earthquakes, with EEPAS performing better in the long-term and ETAS performing better in the short-term. The FORE model based on strong precursor quakes is compared to EEPAS and ETAS using an alarm-based deterministic approach. All models perform better than a random forecasting model, with ETAS and FORE models showing better performance. However, to fully evaluate forecasting performance, prospective tests should be conducted. The lack of objective tests for evaluating deterministic models and comparing them with probabilistic ones was a challenge faced during the study
Towards a more sustainable aquaculture: diets effects and environmental impact of aquaculture from a microbiome perspective
Get PDFThere is a lot of interest to optimize aquaculture production due to its overexploitation of marine resources, ocean pollution and habitat destruction. Since feed production is one of the greatest issues in aquaculture, feeding strategy optimization is important. The study of several different feed additives or supplementation is important to secure optimal growth, gut health, and function in farmed fish. Feed additives are typically supplied to ensure good health and to help the animal ward off pathogens during both normal and challenging conditions, which could stress animals and promote insurgence of pathologies or pathogens invasions. In this context has an increasing interest the study of host associated microbiome to understand the influence of novel functional feed on the health and physiology of animals. To achieve a more sustainable aquaculture sector, show a great importance the understanding of the environmental impact of this human activity in terms of habitat destruction, ocean pollution and reduction marine environments biodiversity. Marine microbiomes, either free-living or associated with multicellular hosts, is acquiring an increasing interest because their role in supporting the functioning and biodiversity of marine ecosystems, providing essential ecological services. Becoming extremely important to understand how these activities can affect marine microbiomes by altering their function and diversity.
In this thesis work, we were able to present a comprehensive evaluation of different functional feeds assessing their effects in terms of growth and gut health of three fish species, Rainbow Trout (Oncorhynchus mykiss), Gilthead seabream (Sparus aurata) and Zebrafish (Danio rerio). We also explored the impact of Aquaculture on the surrounding marine microbiomes, using Patella caerulea as a model holobionts. Finally, we provided a synoptical study on the microbiomes of the water column and surface sediments in North-Western Adriatic Sea (Italy), providing the finest-scale mapping of marine microbiomes in the Mediterranean Sea
Chemical looping reforming from methane to syngas: investigation on CeO2 oxygen carrier lifetime and optimal process times
Get PDFEmissions of CO2 are constantly growing since the beginning of industrial era.
Interruption of the production of major emitters sectors (energy and agriculture) is not a viable way and reducing all the emission through carbon capture and storage (CCS) is not economically viable and little publicly accepted, therefore, it becomes fundamentals to take actions like retrofitting already developed infrastructure employing cleanest resources, modify the actual processes limiting the emissions, and reduce the emissions already present through direct air capture.
The present thesis will deeply discuss the aspects mentioned in regard to syngas and hydrogen production since they have a central role in the market of energy and chemicals.
Among the strategies discussed, greater emphasis is given to the application of looping technologies and to direct air capture processes, as they have been the main point of this work.
Particularly, chemical looping methane reforming to syngas was studied with Aspen Plus thermodynamic simulations, thermogravimetric analysis characterization (TGA) and testing in a fixed bed reactor.
The process was studied cyclically exploiting the redox properties of a Ce-based oxide oxygen carrier synthetized with a simple forming procedure. The two steps of the looping cycles were studied isothermally at 900 °C and 950° C with a mixture of 10 %CH4 in N2 and of 3% O2 in N2, for carrier reduction and oxidation, respectively.
During the stay abroad, in collaboration with the EHT of Zurich, a CO2 capture process in presence of amine solid sorbents was investigated, studying the difference in the performance achievable with the use of contactors of different geometry.
The process was studied at two concentrations (382 ppm CO2 in N2 and 5.62% CO2 in N2) and at different flow rates, to understand the dynamics of the adsorption process and to define the mass transfer limiting step
“For as we all differ in face, so do we differ in the manner of our exercises that are interior” Gertrude More's, Catherine Gascoigne's and Barbara Constable's religious writings through a feminist perspective on religious women’s agency and mysticism
Get PDFThis thesis examines the religious writings of three seventeenth-century English Benedictine nuns: Gertrude More (1606–1633), Catherine Gascoigne (1601–1676), and Barbara Constable (1617–1684) through a feminist perspective on religious women’s agency and mysticism. More, Gascoigne, and Constable have already attracted the attention of several historians and literary critics for their determination in expressing their religious ideas and for their leading roles inside their community, the Benedictine monastery of “Our Lady of Consolation” in Cambrai (today’s France). However, their religious texts had never been analyzed from a feminist perspective, and hence this thesis offers an original contribution to the fields of history and literary criticism of early modern English women religious. It will be argued that More, Gascoigne, and Constable expressed their agentic capacity neither against nor despite, but rather through their religious belonging. This I believe they did in two ways: on the one hand, they rejected blind obedience to domineering superiors, albeit never rejecting their religious Rule, while, on the other hand, building on medieval and contemporary contemplative life teachings, they developed their own spirituality and mystical path. More, Constable, and Gascoigne each had, albeit in different ways, a close spiritual relation with their male spiritual instructor, David Baker, religious name Augustine (1575–1641), who was appointed spiritual director at the monastery of Cambrai for nine years, from 1624 to 1633. Baker thus played a significant role in the lives of the three nuns, both in their personal and spiritual development. This dissertation also investigates if More, Constable, and Gascoigne blended their own spiritual perspectives with that of Baker and how this impacted on their agentic capacity. I will argue that Baker and the three nuns mutually influenced each other, in a positive way, leading to their joint personal and spiritual empowerment
Edge and Big Data technologies for Industry 4.0 to create an integrated pre-sale and after-sale environment
Get PDFThe fourth industrial revolution, also known as Industry 4.0, has rapidly gained traction in businesses across Europe and the world, becoming a central theme in small, medium, and large enterprises alike. This new paradigm shifts the focus from locally-based and barely automated firms to a globally interconnected industrial sector, stimulating economic growth and productivity, and supporting the upskilling and reskilling of employees. However, despite the maturity and scalability of information and cloud technologies, the support systems already present in the machine field are often outdated and lack the necessary security, access control, and advanced communication capabilities.
This dissertation proposes architectures and technologies designed to bridge the gap between Operational and Information Technology, in a manner that is non-disruptive, efficient, and scalable. The proposal presents cloud-enabled data-gathering architectures that make use of the newest IT and networking technologies to achieve the desired quality of service and non-functional properties. By harnessing industrial and business data, processes can be optimized even before product sale, while the integrated environment enhances data exchange for post-sale support.
The architectures have been tested and have shown encouraging performance results, providing a promising solution for companies looking to embrace Industry 4.0, enhance their operational capabilities, and prepare themselves for the upcoming fifth human-centric revolution