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Laser cladding and its potential to reduce particulate matter emissions from the automotive and locomotive sector
Get PDFLaser Cladding (LC) is an emerging technology which is used both for coating applications as well as near-net shape fabrication. Despite its significant advantages, such as low dilution and metallurgical bond with the substrate, it still faces issues such as process control and repeatability, which restricts the extension to its applications. The following thesis evaluates the LC technology and tests its potential to be applied to reduce particulate matter emissions from the automotive and locomotive sector. The evaluation of LC technology was carried out for the deposition of multi-layer and multi-track coatings. 316L stainless steel coatings were deposited to study the minimisation of geometric distortions in thin-walled samples. Laser power, as well as scan strategy, were the main variables to achieve this goal. The use of constant power, reduction at successive layers, a control loop control system, and two different scan strategies were studied. The closed-loop control system was found to be practical only when coupled with the correct scan strategy for the deposition of thin walls. Three overlapped layers of aluminium bronze were deposited onto a structural steel pipe for multitrack coatings. The effect of laser power, scan speed and hatch distance on the final geometry of coating were studied independently, and a combined parameter was established to effectively control each geometrical characteristic (clad width, clad height and percentage of dilution). LC was then applied to coat commercial GCI brake discs with tool steel. The optical micrography showed that even with preheating, the cracks that originated from the substrate towards the coating were still present. The commercial brake discs emitted airborne particles whose concentration and size depended on the test conditions used for simulation in the laboratory. The contact of LC cladded wheel with rail emitted significantly less ultra-fine particles while maintaining the acceptable values of coefficient of friction
Evaluation of the concordance and predictive ability and concordance of prognostic scores for rapid progression Progression in ADPKD: a multicenter cohort
Get PDFIntroduzione: La malattia policistica autosomica dominante (ADPKD) è una causa comune di malattia renale terminale (ESKD). È caratterizzata dallo sviluppo di cisti renali bilaterali che aumentano progressivamente di volume. Il Tolvaptan viene prescritto in base a 3 criteri: volume renale totale (HtTKV) e Mayo Clinic Imaging Class (MCIC), tasso di declino dell'eGFR e al Predicting Renal Outcome in Polycystic Kidney Disease (PROPKD), che combina variabili cliniche e genetiche.
In questa coorte multicentrica retrospettiva, l'obiettivo era di valutare e migliorare la concordanza di sensibilità e specificità predittive di MCIC e PROPKD.
Metodi: I dati di pazienti adulti affetti da ADPKD sono stati ottenuti da 2 centri di Bologna (B) e Dublino (D). Abbiamo definito RP un calo dell'eGFR ≥3 mL/min/1,73m2/anno su 4 anni (Clinical Score), o classi MCIC 1C-D-E, o punteggio PROPKD da 7 a 9. Per i parametri clinici sono state utilizzate statistiche descrittive. La concordanza tra i punteggi è stata valutata tramite la statistica Kappa. Nelle varianti missenso di PKD1, il punteggio REVEL è stato trattato come una variabile continua; (>0,65 patogeno').
Risultati: Abbiamo valutato 201 pazienti con ADPKD. Il Propkd e il MCIC erano rispettivamente: 90% specifico e 31,3% sensibile; 89,6% sensibile e 28,6% specifico per identificare il calo dell'eGFR.
Kappa di Cohen era di 0,025. Il 47,9% (n=143) è risultato concorde. Il punteggio Revel applicato alle mutazioni PKD1NT identifica da 15 a 19 pazienti che potrebbero avere una RP. L'analisi multivariata mostra dati statisticamente significativi per HB (p:0,016), eventi urologici (p: 0,005) e MCIC (p: 0,074).
Conclusioni: La concordanza tra i punteggi risulta bassa. Il PROPKD è più selettivo rispetto al Mayo. Tuttavia, il PROPKD permette di identificare alcune RP escluse dall'uso del solo MCIC. L'uso combinato dei punteggi può aumentare la capacità di identificare le RP. Il punteggio REVEL potrebbe migliorare questa concordanzaBackground: Autosomal dominant polycystic kidney disease (ADPKD) is a common cause of end-stage kidney disease (ESKD). It is characterized by the progressive development of bilateral renal cysts, resulting in enlargement of the kidney volume and ESKD. Tolvaptan therapy is prescribed according to 3 criteria: total kidney volume (HtTKV) and Mayo Clinic Imaging Class (MCIC), rate of decline in eGFR, and the Predicting Renal Outcome in Polycystic Kidney Disease (PROPKD) score, combining clinical and genetic variables.
In this retrospective multicentric cohort, the aim was evaluate and improve the concordance of sensitivity and specificity of MCIC and PROPKD predictive abilities for rapid progressor (RP).
Method: Data from adult ADPKD patients were obtained from 2 centers Bologna (B), Dublin(D). We defined RP an eGFR slope ≥3 mL/min/1.73m2/ yearly over 4 years (Clinical Score), or MCIC classes 1C-D-E, or PROPKD score 7 to 9. Descriptive statistics were used to clinical parameters. The concordance between scores was assessed using Kappa statistics. In PKD1 missense variants, the REVEL score was treated as a continuous variable; (>0.65 pathogenic’).
Results: We evaluated 201 ADPKD patients. The Propkd and MCIC were respectively: 90% specific and 31,3% sensitive; 89.6% sensitive and 28.6% specific in order to identify a eGFR slope.
Assessment of RP using PROPKD, and Mayo scores yielded Kappa Cohen of 0,025 47.9% (n=143) were concordant. The Revel score applied to PKD1NT mutations identifies 15 to 19 patients who may have a RP. Multivariate analysis shows statistically significant data for HB (p:0.016), events urological (p: 0.005) and MCIC (p: 0.074).
Conclusion: Concordance between scores results low. The PROPKD is more selective compared to the Mayo. Nevertheless, PROPKD allows the identification of some PR excluded from using the MCIC only. The combined use of scoring may increase the ability to identify RP. REVEL score could improve this agreement
Gut microbiota perturbation induced by emerging dietary habits: an in vitro colon model to predict their effects by a microbiomic and metabolomic approach
Get PDFOver the past 30 years, unhealthy diets and lifestyles have increased the incidence of noncommunicable diseases and are culprits of diffusion on world’s population of syndromes as obesity or other metabolic disorders, reaching pandemic proportions.
In order to comply with such scenario, the food industry has tackled these challenges with different approaches, as the reformulation of foods, fortification of foods, substitution of ingredients and supplements with healthier ingredients, reduced animal protein, reduced fats and improved fibres applications. Although the technological quality of these emerging food products is known, the impact they have on the gut microbiota of consumers remains unclear.
In the present PhD thesis, the recipient work was conducted to study different foods with the substitution of the industrial and market components to that of novel green oriented and sustainable ingredients. So far, this thesis included eight representative case studies of the most common substitutions/additions/fortifications in dairy, meat, and vegetable products. The products studied were: (i) a set of breads fortified with polyphenol-rich olive fiber, to replace synthetic antioxidant and preservatives, (ii) a set of Gluten-free breads fortified with algae powder, to fortify the protein content of standard GF products, (iii) different formulations of salami where nitrates were replaced by ascorbic acid and vegetal extract antioxidants and nitrate-reducers starter cultures, (iv) chocolate fiber plus D-Limonene food supplement, as a novel prebiotic formula, (v) hemp seed bran and its alkalase hydrolysate, to introduce as a supplement, (vi) milk with and without lactose, to evaluate the different impact on human colonic microbiota of healthy or lactose-intolerants, (vii) lactose-free whey fermented and/or with probiotics added, to be introduced as an alternative beverage, exploring its impact on human colonic microbiota from healthy or lactose-intolerants, and (viii) antibiotics, to assess whether maternal amoxicillin affects the colon microbiota of piglets
Sewage sludge as organic fertilizer in agriculture. A study of physico-chemical properties, agronomic efficiency and environmental safety, with a specific focus on tannery sludge
Get PDFIn recent decades, the use of organic fertilizers has gained increasing interest mainly for two reasons: their ability to improve soil fertility and the need to find a sustainable alternative to mineral and synthetic fertilizers. In this context, sewage sludge is a useful organic matrix that can be successfully used in agriculture, due to its chemical composition rich in organic matter, nitrogen, phosphorus and other micronutrients necessary for plant growth.
This work investigated three indispensable aspects (i.e., physico-chemical properties, agronomic efficiency and environmental safety) of sewage sludge application as organic fertilizer, emphasizing the role of tannery sludge. In a comparison study with municipal sewage sludge, results showed that the targeted analyses applied (total carbon and nitrogen content, isotope ratio of carbon and nitrogen, infrared spectroscopy and thermal analysis) were able to discriminate tannery sludge from municipal ones, highlighting differences in composition due to the origin of the wastewater and the treatment processes used in the plants. Regarding agronomic efficiency, N bioavailability was tested in a selection of organic fertilizers, including tannery sludge and tannery sludge-based fertilizers. Specifically, the hot-water extractable N has proven to be a good chemical indicator, providing a rapid and reliable indication of N bioavailability in soil. Finally, the behavior of oxybenzone (an emerging organic contaminant detected in sewage sludge) in soils with different physico-chemical properties was studied. Through adsorption and desorption experiments, it was found that the mobility of oxybenzone is reduced in soils rich in organic matter. Furthermore, through spectroscopic methods (e.g., infrared spectroscopy and surface-enhanced Raman spectroscopy) the mechanisms of oxybenzone-humic acids interaction were studied, finding that H-bonds and π-π stacking were predominantly present
Multi-scale analysis of active landslides using two-pass differential interferometry
Get PDFLandslides are common features of the landscape of the north-central Apennine mountain range and cause frequent damage to human facilities and infrastructure. Most of these landslides move periodically with moderate velocities and, only after particular rainfall events, some accelerate abruptly. Synthetic aperture radar interferometry (InSAR) provides a particularly convenient method for studying deforming slopes. We use standard two-pass interferometry, taking advantage of the short revisit time of the Sentinel-1 satellites.
In this paper we present the results of the InSAR analysis developed on several study areas in central and Northern Italian Apennines.
The aims of the work described within the articles contained in this paper, concern: i) the potential of the standard two-pass interferometric technique for the recognition of active landslides; ii) the exploration of the potential related to the displacement time series resulting from a two-pass multiple time-scale InSAR analysis; iii) the evaluation of the possibility of making comparisons with climate forcing for cognitive and risk assessment purposes.
Our analysis successfully identified more than 400 InSAR deformation signals (IDS) in the different study areas corresponding to active slope movements. The comparison between IDSs and thematic maps allowed us to identify the main characteristics of the slopes most prone to landslides.
The analysis of displacement time series derived from monthly interferometric stacks or single 6-day interferograms allowed the establishment of landslide activity thresholds.
This information, combined with the displacement time series, allowed the relationship between ground deformation and climate forcing to be successfully investigated.
The InSAR data also gave access to the possibility of validating geographical warning systems and comparing the activity state of landslides with triggering probability thresholds
Neurogeometry of stereo vision
Get PDFThis work aims to develop a neurogeometric model of stereo vision, based on cortical architectures involved in the problem of 3D perception and neural mechanisms generated by retinal disparities.
First, we provide a sub-Riemannian geometry for stereo vision, inspired by the work on the stereo problem by Zucker (2006), and using sub-Riemannian tools introduced by Citti-Sarti (2006) for monocular vision. We present a mathematical interpretation of the neural mechanisms underlying the behavior of binocular cells, that integrate monocular inputs. The natural compatibility between stereo geometry and neurophysiological models shows that these binocular cells are sensitive to position and orientation. Therefore, we model their action in the space R3xS2 equipped with a sub-Riemannian metric. Integral curves of the sub-Riemannian structure model neural connectivity and can be related to the 3D analog of the psychophysical association fields for the 3D process of regular contour formation.
Then, we identify 3D perceptual units in the visual scene: they emerge as a consequence of the random cortico-cortical connection of binocular cells. Considering an opportune stochastic version of the integral curves, we generate a family of kernels. These kernels represent the probability of interaction between binocular cells, and they are implemented as facilitation patterns to define the evolution in time of neural population activity at a point. This activity is usually modeled through a mean field equation: steady stable solutions lead to consider the associated eigenvalue problem. We show that three-dimensional perceptual units naturally arise from the discrete version of the eigenvalue problem associated to the integro-differential equation of the population activity
Factors influencing contrast enhancement in abdominal CT angiography in dogs: a systematic review
Get PDFLo scopo dell’AngioTC è quello di ottenere un’opacizzazione adeguata del comparto vascolare esaminato, sincronizzata all’acquisizione della scansione TC. La distribuzione del mezzo di contrasto (mdc) e l’opacizzazione dei distretti corporei, definita enhancement, è influenzata da diversi fattori: relativi al paziente, al mdc o allo scanner TC. In Medicina Veterinaria sono presenti pochi studi indirizzati a valutare l’influenza di diversi fattori sull’enhancement. La ricerca è stata condotta seguendo le linee guida PRISMA (Preferred Reporting Items for Systematic Reviews, 2020). Il database online di diversi motori di ricerca scientifici (Web of Science, PubMed, Scopus e CABAbstract) è stato esaminato mediante combinazione di diverse parole chiave. Sono stati individuati 20 studi che rispettavano i criteri di inclusione, inseriti nel corpo finale della revisione sistematica e raggruppati sulla base della categoria di appartenenza. Si è visto come la quantità di tessuto adiposo addominale sull’enhancement rappresenti un fattore che permette di ridurre la dose di mezzo di contrasto utilizzato, riducendo effetti avversi o tossicità sull’animale. Per quanto riguarda l’iniezione del mdc, un fattore in grado di influenzare maggiormente l’enhancement sembra essere la velocità di trasporto dello Iodio, piuttosto che la durata di iniezione, soprattutto a livello arterioso ed epatico. Con uno scanner lento o una durata di scansione lunga, è consigliato utilizzare una durata fissa di iniezione del mdc per l’acquisizione delle diverse fasi vascolari. Al contrario, con scanner più performanti la tecnica di bolus tracking garantisce una maggior qualità tra le varie fasi vascolari. È indicato, infine, eseguire un flush con soluzione fisiologica al termine della somministrazione di mdc per incrementare l’enhancement arterioso e ridurre la dose di mdc somministrata. Questa revisione sistematica mette in evidenza alcuni fattori e può fare da base per l’ulteriore approfondimento di alcuni di questi fattori o per la valutazione altri non ancora esaminati in Medicina Veterinaria.The main objective of AngioCT is to obtain adequate opacification of the vascular compartment of interest, synchronized with the CT acquisition. Contrast medium (CM) distribution and opacification of the vascular territory of interest are influenced by different factors: patient-related factors, CM-related factors and MDCT scanner-related factors. In Veterinary Medicine, many aspects regarding the influence of different factors on contrast enhancement remain underdeveloped. Therefore, the aim of our systematic review is to evaluate these factors and their influence on contrast enhancement. The systematic literature review followed the PRISMA (Preferred Reporting Items for Systematic Reviews, 2020) flowchart. Research was conducted on bibliographic online databases (WebofScience, PubMed, Scopus, CABAbstract) using different key words. After screening of the identified studies, 20 studies were included in final corpus of the systematic review. The amount of abdominal adipose tissue on enhancement represents a very interesting and little-considered factor in daily clinical practice, which makes it possible to reduce the dose of CM to the patient and the related adverse effects or toxicity. Regarding CM injection, the speed of transport of iodine seem to be a more influencing factor, rather than the duration of injection, especially at the arterial and hepatic level, with possible clinical implications of great relevance. When a slow scanner or a long scan duration is available, it may be advisable to use a fixed CM injection duration for the acquisition of the different vascular phases. On the contrary, with faster scanners, the bolus tracking technique guarantees a higher quality between the vascular phases. Finally, a saline flush at the end of the administration of CM permits to increase arterial enhancement and reduce the dose of CM to the patient. This systematic review highlights some factors and can form the basis for further study regarding factors influencing enhancement on angioCT in small animals
A 3D biomimetic in vitro model: a novel strategy to investigate glioma biology
Get PDFGliomas are one of the most frequent primary malignant brain tumors. Acquisition of stem-like features likely contributes to the malignant nature of high-grade gliomas and may be responsible for the initiation, growth, and recurrence of these tumors. In this regard, although the traditional 2D cell culture system has been widely used in cancer research, it shows limitations in maintaining the stemness properties of cancer and in mimicking the in vivo microenvironment. In order to overcome these limitations, different three-dimensional (3D) culture systems have been developed to mimic better the tumor microenvironment. Cancer cells cultured in 3D structures may represent a more reliable in vitro model due to increased cell-cell and cell-extracellular matrix (ECM) interaction. Several attempts to recreate brain cancer tissue in vitro are described in literature. However, to date, it is still unclear which main characteristics the ideal model should reproduce. The overall goal of this project was the development of a 3D in vitro model able to reproduce the brain ECM microenvironment and to recapitulate pathological condition for the study of tumor stroma interactions, tumor invasion ability, and molecular phenotype of glioma cells. We performed an in silico bioinformatic analysis using GEPIA2 Software to compare the expression level of seven matrix protein in the LGG tumors with healthy tissues. Then, we carried out a FFPE retrospective study in order to evaluate the percentage of expression of selected proteins. Thus, we developed a 3D scaffold composed by Hyaluronic Acid and Collagen IV in a ratio of 50:50. We used two astrocytoma cell lines, HTB-12 and HTB-13. In conclusion, we developed an in vitro 3D model able to reproduce the composition of brain tumor ECM, demonstrating that it is a feasible platform to investigate the interaction between tumor cells and the matrix
Diffusive models and chaos indicators for non-linear betatron motion in circular hadron accelerators
Get PDFUnderstanding the complex dynamics of beam-halo formation and evolution in circular particle accelerators is crucial for the design of current and future rings, particularly those utilizing superconducting magnets such as the CERN Large Hadron Collider (LHC), its luminosity upgrade HL-LHC, and the proposed Future Circular Hadron Collider (FCC-hh).
A recent diffusive framework, which describes the evolution of the beam distribution by means of a Fokker-Planck equation, with diffusion coefficient derived from the Nekhoroshev theorem, has been proposed to describe the long-term behaviour of beam dynamics and particle losses.
In this thesis, we discuss the theoretical foundations of this framework, and propose the implementation of an original measurement protocol based on collimator scans in view of measuring the Nekhoroshev-like diffusive coefficient by means of beam loss data.
The available LHC collimator scan data, unfortunately collected without the proposed measurement protocol, have been successfully analysed using the proposed framework. This approach is also applied to datasets from detailed measurements of the impact on the beam losses of so-called long-range beam-beam compensators also at the LHC.
Furthermore, dynamic indicators have been studied as a tool for exploring the phase-space properties of realistic accelerator lattices in single-particle tracking simulations.
By first examining the classification performance of known and new indicators in detecting the chaotic character of initial conditions for a modulated Hénon map and then applying this knowledge to study the properties of realistic accelerator lattices, we tried to identify a connection between the presence of chaotic regions in the phase space and Nekhoroshev-like diffusive behaviour, providing new tools to the accelerator physics community
Computational creativity: an interdisciplinary approach to sequential learning and creative generations
Get PDFCreativity seems mysterious; when we experience a creative spark, it is difficult to explain how we got that idea, and we often recall notions like ``inspiration" and ``intuition" when we try to explain the phenomenon. The fact that we are clueless about how a creative idea manifests itself does not necessarily imply that a scientific explanation cannot exist. We are unaware of how we perform certain tasks, such as biking or language understanding, but we have more and more computational techniques that can replicate and hopefully explain such activities.
We should understand that every creative act is a fruit of experience, society, and culture. Nothing comes from nothing. Novel ideas are never utterly new; they stem from representations that are already in mind. Creativity involves establishing new relations between pieces of information we had already: then, the greater the knowledge, the greater the possibility of finding uncommon connections, and the more the potential to be creative.
In this vein, a beneficial approach to a better understanding of creativity must include computational or mechanistic accounts of such inner procedures and the formation of the knowledge that enables such connections. That is the aim of Computational Creativity: to develop computational systems for emulating and studying creativity.
Hence, this dissertation focuses on these two related research areas: discussing computational mechanisms to generate creative artifacts and describing some implicit cognitive processes that can form the basis for creative thoughts