Enhancing Workers’ Well-Being. Scientific and social relevance of managing stress in the workplace

Purpose. Despite work-related stress is one of the most studied topic in organizational psychology, many aspects as for example the use of different measures (e.g. subjective and objective, qualitative and quantitative) are still under debate. According to this, in order to enhance knowledge concerning which factors and processes contribute to create healthy workplaces, this thesis is composed by four different studies aiming to understand: a) the role of relevant antecedents (e.g. leadership, job demands, work-family conflict, social support etc.) and outcomes (e.g. workplace phobia, absenteeism etc.) of work-related stress; and b) how to manage psychosocial risk factors in the workplace. The studies. The first study focused on how disagreement between supervisors and their employees on leadership style (transformational and transactional) could affect workers well-being and work team variables. The second and third study used both subjective and objective data in order to increase the quality of the reliability of the results gained. Particularly, the second study focused on job demand and its relationship with objective sickness leave. Findings showed that despite there is no direct relationship between these two variables, job demand affects work-family conflict, which in turn affect exhaustion, which leads to absenteeism. The third study analysed the role of a new concept never studied before in organizational settings (workplace phobia), as a health outcome in the JD-R model, demonstrating also its relationship with absenteeism. The last study highlighted the added value of using the mixed methods research approach in order to detect and analyse context-specific job demands which could affects workers’ health. Conclusion. The findings of this thesis answered both to open questions in the scientific literature and to the social request of managing psychosocial risk factors in the workplace in order to enhance workers well-being.

Scienza, Tecnica, Politica: Il Problema del Metodo nel Pensiero di Jacopo Aconcio

The aim of this PhD thesis is to study accurately and in depth the figure and the literary production of the intellectual Jacopo Aconcio. This minor author of the 16th century has long been considered a sort of “enigmatic character”, a profile which results from the work of those who, for many centuries, have left his writing to its fate: a story of constant re-readings and equally incessant oversights. This is why it is necessary to re-read Aconcio’s production in its entirety and to devote to it a monographic study. Previous scholars’ interpretations will obviously be considered, but at the same time an effort will be made to go beyond them through the analysis of both published and manuscript sources, in the attempt to attain a deeper understanding of the figure of this man, who was a Christian, a military and hydraulic engineer and a political philosopher,. The title of the thesis was chosen to emphasise how, throughout the three years of the doctorate, my research concentrated in equal measure and with the same degree of importance on all the reflections and activities of Jacopo Aconcio. My object, in fact, was to establish how and to what extent the methodological thinking of the intellectual found application in, and at the same time guided, his theoretical and practical production. I did not mention in the title the author’s religious thinking, which has always been considered by everyone the most original and interesting element of his production, because religion, from the Reformation onwards, was primarily a political question and thus it was treated by almost all the authors involved in the Protestant movement - Aconcio in the first place. Even the remarks concerning the private, intimate sphere of faith have therefore been analysed in this light: only by acknowledging the centrality of the “problem of politics” in Aconcio’s theories, in fact, is it possible to interpret them correctly. This approach proves the truth of the theoretical premise to my research, that is to say the unity and orderliness of the author’s thought: in every field of knowledge, Aconcio applies the rules of the methodus resolutiva, as a means to achieve knowledge and elaborate models of pacific cohabitation in society. Aconcio’s continuous references to method can make his writing pedant and rather complex, but at the same time they allow for a consistent and valid analysis of different disciplines. I have not considered the fact that most of his reflections appear to our eyes as strongly conditioned by the time in which he lived as a limit. To see in him, as some have done, the forerunner of Descartes’ methodological discourse or, conversely, to judge his religious theories as not very modern, is to force the thought of an author who was first and foremost a Christian man of his own time. Aconcio repeats this himself several times in his writings: he wants to provide individuals with the necessary tools to reach a full-fledged scientific knowledge in the various fields, and also to enable them to seek truth incessantly in the religious domain, which is the duty of every human being. The will to find rules, instruments, effective solutions characterizes the whole of the author’s corpus: Aconcio feels he must look for truth in all the arts, aware as he is that anything can become science as long as it is analysed with method. Nevertheless, he remains a man of his own time, a Christian convinced of the existence of God, creator and governor of the world, to whom people must account for their own actions. To neglect this fact in order to construct a “character”, a generic forerunner, but not participant, of whatever philosophical current, is a dangerous and sidetracking operation. In this study, I have highlighted how Aconcio’s arguments only reveal their full meaning when read in the context in which they were born, without depriving them of their originality but also without charging them with meanings they do not possess. Through a historical-doctrinal approach, I have tried to analyse the complex web of theories and events which constitute the substratum of Aconcio’s reflection, in order to trace the correct relations between texts and contexts. The thesis is therefore organised in six chapters, dedicated respectively to Aconcio’s biography, to the methodological question, to the author’s engineering activity, to his historical knowledge and to his religious thinking, followed by a last section concerning his fortune throughout the centuries. The above-mentioned complexity is determined by the special historical moment in which the author lived. On the one hand, thanks to the new union between science and technique, the 16th century produces discoveries and inventions which make available a previously unthinkable number of notions and lead to a “revolution” in the way of studying and teaching the different subjects, which, by producing a new form of intellectual, involved in politics but also aware of scientific-technological issues, will contribute to the subsequent birth of modern science. On the other, the 16th century is ravaged by religious conflicts, which shatter the unity of the Christian world and generate theological-political disputes which will inform the history of European states for many decades. My aim is to show how Aconcio’s multifarious activity is the conscious fruit of this historical and religious situation, as well as the attempt of an answer to the request of a new kind of engagement on the intellectual’s behalf. Plunged in the discussions around methodus, employed in the most important European courts, involved in the abrupt acceleration of technical-scientific activities, and especially concerned by the radical religious reformation brought on by the Protestant movement, Jacopo Aconcio reflects this complex conjunction in his writings, without lacking in order and consistency, differently from what many scholars assume. The object of this work, therefore, is to highlight the unity of the author’s thought, in which science, technique, faith and politics are woven into a combination which, although it may appear illogical and confused, is actually tidy and methodical, and therefore in agreement with Aconcio’s own intentions and with the specific characters of European culture in the Renaissance. This theory is confirmed by the reading of the Ars muniendorum oppidorum, Aconcio’s only work which had been up till now unavailable. I am persuaded that only a methodical reading of Aconcio’s works, without forgetting nor glorifying any single one, respects the author’s will. From De methodo (1558) onwards, all his writings are summae, guides for the reader who wishes to approach the study of the various disciplines. Undoubtedly, Satan’s Stratagems (1565) is something more, not only because of its length, but because it deals with the author’s main interest: the celebration of doubt and debate as bases on which to build religious tolerance, which is the best method for pacific cohabitation in society. This, however, does not justify the total centrality which the Stratagems have enjoyed for centuries, at the expense of a proper understanding of the author’s will to offer examples of methodological rigour in all sciences. Maybe it is precisely because of the reforming power of Aconcio’s thought that, albeit often forgotten throughout the centuries, he has never ceased to reappear and continues to draw attention, both as a man and as an author. His ideas never stop stimulating the reader’s curiosity and this may ultimately be the best demonstration of their worth, independently from the historical moment in which they come back to the surface.

Partial discharge in power distribution electrical systems: pulse propagation models and detection optimization

Investigation on impulsive signals, originated from Partial Discharge (PD) phenomena, represents an effective tool for preventing electric failures in High Voltage (HV) and Medium Voltage (MV) systems. The determination of both sensors and instruments bandwidths is the key to achieve meaningful measurements, that is to say, obtaining the maximum Signal-To-Noise Ratio (SNR). The optimum bandwidth depends on the characteristics of the system under test, which can be often represented as a transmission line characterized by signal attenuation and dispersion phenomena. It is therefore necessary to develop both models and techniques which can characterize accurately the PD propagation mechanisms in each system and work out the frequency characteristics of the PD pulses at detection point, in order to design proper sensors able to carry out PD measurement on-line with maximum SNR. Analytical models will be devised in order to predict PD propagation in MV apparatuses. Furthermore, simulation tools will be used where complex geometries make analytical models to be unfeasible. In particular, PD propagation in MV cables, transformers and switchgears will be investigated, taking into account both irradiated and conducted signals associated to PD events, in order to design proper sensors.

Sustainability indicators for environmental management and decision making

The general objective of this research is to explore theories and methodologies of sustainability indicators, environmental management and decision making disciplines with the operational purpose of producing scientific, robust and relevant information for supporting system understanding and decision making in real case studies. Several tools have been applied in order to increase the understanding of socio-ecological systems as well as providing relevant information on the choice between alternatives. These tools have always been applied having in mind the complexity of the issues and the uncertainty tied to the partial knowledge of the systems under study. Two case studies with specific application to performances measurement (environmental performances in the case of the K8 approach and sustainable development performances in the case of the EU Sustainable Development Strategy) and a case study about the selection of sustainable development indicators amongst Municipalities in Scotland, are discussed in the first part of the work. In the second part of the work, the common denominator among subjects consists in the application of spatial indices and indicators to address operational problems in land use management within the territory of the Ravenna province (Italy). The main conclusion of the thesis is that a ‘perfect’ methodological approach which always produces the best results in assessing sustainability performances does not exist. Rather, there is a pool of correct approaches answering different evaluation questions, to be used when methodologies fit the purpose of the analysis. For this reason, methodological limits and conceptual assumptions as well as consistency and transparency of the assessment, become the key factors for assessing the quality of the analysis.

Background minimization issues for next generation hard X-ray focusing telescopes

The hard X-ray band (10 - 100 keV) has been only observed so far by collimated and coded aperture mask instruments, with a sensitivity and an angular resolution lower than two orders of magnitude as respects the current X-ray focusing telescopes operating below 10 - 15 keV. The technological advance in X-ray mirrors and detection systems is now able to extend the X-ray focusing technique to the hard X-ray domain, filling the gap in terms of observational performances and providing a totally new deep view on some of the most energetic phenomena of the Universe. In order to reach a sensitivity of 1 muCrab in the 10 - 40 keV energy range, a great care in the background minimization is required, a common issue for all the hard X-ray focusing telescopes. In the present PhD thesis, a comprehensive analysis of the space radiation environment, the payload design and the resulting prompt X-ray background level is presented, with the aim of driving the feasibility study of the shielding system and assessing the scientific requirements of the future hard X-ray missions. A Geant4 based multi-mission background simulator, BoGEMMS, is developed to be applied to any high energy mission for which the shielding and instruments performances are required. It allows to interactively create a virtual model of the telescope and expose it to the space radiation environment, tracking the particles along their path and filtering the simulated background counts as a real observation in space. Its flexibility is exploited to evaluate the background spectra of the Simbol-X and NHXM mission, as well as the soft proton scattering by the X-ray optics and the selection of the best shielding configuration. Altough the Simbol-X and NHXM missions are the case studies of the background analysis, the obtained results can be generalized to any future hard X-ray telescope. For this reason, a simplified, ideal payload model is also used to select the major sources of background in LEO. All the results are original contributions to the assessment studies of the cited missions, as part of the background groups activities.

Methods for Clearance Influence Analysis in Planar and Spatial Mechanisms

This doctoral dissertation presents a new method to asses the influence of clearancein the kinematic pairs on the configuration of planar and spatial mechanisms. The subject has been widely investigated in both past and present scientific literature, and is approached in different ways: a static/kinetostatic way, which looks for the clearance take-up due to the external loads on the mechanism; a probabilistic way, which expresses clearance-due displacements using probability density functions; a dynamic way, which evaluates dynamic effects like the actual forces in the pairs caused by impacts, or the consequent vibrations. This dissertation presents a new method to approach the problem of clearance. The problem is studied from a purely kinematic perspective. With reference to a given mechanism configuration, the pose (position and orientation) error of the mechanism link of interest is expressed as a vector function of the degrees of freedom introduced in each pair by clearance: the presence of clearance in a kinematic pair, in facts, causes the actual pair to have more degrees of freedom than the theoretical clearance-free one. The clearance-due degrees of freedom are bounded by the pair geometry. A proper modelling of clearance-affected pairs allows expressing such bounding through analytical functions. It is then possible to study the problem as a maximization problem, where a continuous function (the pose error of the link of interest) subject to some constraints (the analytical functions bounding clearance- due degrees of freedom) has to be maximize. Revolute, prismatic, cylindrical, and spherical clearance-affected pairs have been analytically modelled; with reference to mechanisms involving such pairs, the solution to the maximization problem has been obtained in a closed form.

Land use management in mountainous areas: combining ground-based and EO (Earth Observation) data to investigate the shallow landsliding susceptibility in the Duron valley (Trento, Italy).

Throughout the alpine domain, shallow landslides represent a serious geologic hazard, often causing severe damages to infrastructures, private properties, natural resources and in the most catastrophic events, threatening human lives. Landslides are a major factor of landscape evolution in mountainous and hilly regions and represent a critical issue for mountainous land management, since they cause loss of pastoral lands. In several alpine contexts, shallow landsliding distribution is strictly connected to the presence and condition of vegetation on the slopes. With the aid of high-resolution satellite images, it's possible to divide automatically the mountainous territory in land cover classes, which contribute with different magnitude to the stability of the slopes. The aim of this research is to combine EO (Earth Observation) land cover maps with ground-based measurements of the land cover properties. In order to achieve this goal, a new procedure has been developed to automatically detect grass mantle degradation patterns from satellite images. Moreover, innovative surveying techniques and instruments are tested to measure in situ the shear strength of grass mantle and the geomechanical and geotechnical properties of these alpine soils. Shallow landsliding distribution is assessed with the aid of physically based models, which use the EO-based map to distribute the resistance parameters across the landscape.

Sanctions and public enforcement of insider trading laws in Europe

The recent financial crisis triggered an increasing demand for financial regulation to counteract the potential negative economic effects of the evermore complex operations and instruments available on financial markets. As a result, insider trading regulation counts amongst the relatively recent but particularly active regulation battles in Europe and overseas. Claims for more transparency and equitable securities markets proliferate, ranging from concerns about investor protection to global market stability. The internationalization of the world’s securities market has challenged traditional notions of regulation and enforcement. Considering that insider trading is currently forbidden all over Europe, this study follows a law and economics approach in identifying how this prohibition should be enforced. More precisely, the study investigates first whether criminal law is necessary under all circumstances to enforce insider trading; second, if it should be introduced at EU level. This study provides evidence of law and economics theoretical logic underlying the legal mechanisms that guide sanctioning and public enforcement of the insider trading prohibition by identifying optimal forms, natures and types of sanctions that effectively induce insider trading deterrence. The analysis further aims to reveal the economic rationality that drives the potential need for harmonization of criminal enforcement of insider trading laws within the European environment by proceeding to a comparative analysis of the current legislations of height selected Member States. This work also assesses the European Union’s most recent initiative through a critical analysis of the proposal for a Directive on criminal sanctions for Market Abuse. Based on the conclusions drawn from its close analysis, the study takes on the challenge of analyzing whether or not the actual European public enforcement of the laws prohibiting insider trading is coherent with the theoretical law and economics recommendations, and how these enforcement practices could be improved.

Metodiche di preservazione del polmone isolato per lo studio ecografico: Studio sperimentale

Oggetto della tesi e' l'approfondimento su tecniche e metodiche di preservazione del polmone isolato per lo studio ecografico. E' discussa l'appropriatezza sull'uso degli ultrasuoni in corso di chirurgia mini invasiva polmonare, obiettivo di una ricerca sperimentale. Il razionale dello studio si fonda sull'indicazione all'exeresi chirurgica di noduli polmonari di diametro inferiore al centometro, ovvero di diametro superiore ma localizzati in aree centrali del polmone. Queste lesioni sono sempre piu' frequentente diagnosticate per mezzo di avanzate tecniche di imaging. L'atto chirurgico ha scopo terapeutico quando sia stata posta la diagnosi di neoplasia maligna, diagnostico-terapeutico quando non sia ancora ottenuta la tipizzazione istologica della lesione. La tecnica toracoscopica offre numerosi vantaggi rispetto alle tecniche chirurgiche tradizionali ma presenta il grave limite di non permettere la palpazione diretta del tessuto polmonare e la localizzazione della formazione tumorale quando essa non sia visibile macroscopicamente. Gli ultrasuoni sono stati utilizzati con successo per indirizzare la localizzazione del nodulo polmonare. Scopo dello studio sperimentale e' quello di confrontare tecniche diverse di preservazione del polmone isolato in un modello animale, comparando catatteristiche e prestazioni di sonde ecografiche differenti per tipologia. Del tutto recentemente, in ambito trapiantologico, sono state proposte tecniche di preservazione organica utili ai fini di uno studio anatomico sperimentale particolareggiato (EVLP) e moderna e' da considerarsi la concezione di mezzi tecnici specifici per la localizzazione di bersagli intrapolmonari. La tecnica clinica applicata allo studio del particolare ecografico, nel modello animale, ha reso comprensibile e meglio definito il ruolo delle sonde ecografiche nell'individuazione di forme tumorali suscettibili di exeresi definitiva.

Nonlinear Approaches to Attitude Control Using Magnetic and Mechanical Actuation

This thesis argues the attitude control problem of nanosatellites, which has been a challenging issue over the years for the scientific community and still constitutes an active area of research. The interest is increasing as more than 70% of future satellite launches are nanosatellites. Therefore, new challenges appear with the miniaturisation of the subsystems and improvements must be reached. In this framework, the aim of this thesis is to develop novel control approaches for three-axis stabilisation of nanosatellites equipped with magnetorquers and reaction wheels, to improve the performance of the existent control strategies and demonstrate the stability of the system. In particular, this thesis is focused on the development of non-linear control techniques to stabilise full-actuated nanosatellites, and in the case of underactuation, in which the number of control variables is less than the degrees of freedom of the system. The main contributions are, for the first control strategy proposed, to demonstrate global asymptotic stability derived from control laws that stabilise the system in a target frame, a fixed direction of the orbit frame. Simulation results show good performance, also in presence of disturbances, and a theoretical selection of the magnetic control gain is given. The second control approach presents instead, a novel stable control methodology for three-axis stabilisation in underactuated conditions. The control scheme consists of the dynamical implementation of an attitude manoeuvre planning by means of a switching control logic. A detailed numerical analysis of the control law gains and the effect on the convergence time, total integrated and maximum torque is presented demonstrating the good performance and robustness also in the presence of disturbances.

Assessment of a best practise approach for the attribution and authentication of paintings

The ever-growing interest in scientific techniques, able to characterise the materials and rediscover the steps behind the execution of a painting, makes them widely accepted in its investigation. This research discusses issues emerging from attribution and authentication studies and proposes best practise for the characterisation of materials and techniques, favouring the contextualisation of the results in an integrated approach; the work aims to systematically classify paintings in categories that aid the examination of objects. A first grouping of paintings is based on the information initially available on them, identifying four categories. A focus of this study is the examination of case studies, spanning from the 16th to the 20th century, to evaluate and validate different protocols associated to each category, to show problems arising from paintings and explain advantages and limits of the approach. The research methodology incorporates a combined set of scientific techniques (non-invasive, such as technical imaging and XRF, micro-invasive, such as optical microscopy, SEM-EDS, FTIR, Raman microscopy and in one case radiocarbon dating) to answer the questions and, if necessary for the classification, exhaustively characterise the materials of the paintings, as the creation and contribution of shared technical databases related to various artists and their evolution over time is an objective tool that benefits this kind of study. The reliability of a close collaboration among different professionals is an essential aspect of this research to comprehensively study a painting, as the integration of stylistic, documentary and provenance studies corroborates the scientific findings and helps in the successful contextualisation of the results and the reconstruction of the history of the object.

Un commento a Lucrezio, De rerum natura 6.703-1089

La tesi consiste in un commento scientifico ai versi 703-1089 del VI libro di Lucrezio, dove sono discussi vari mirabilia della natura (le piene estive del Nilo, i luoghi Averni, l’escursione termica dei pozzi, alcune fonti prodigiose e il magnete). Nell’introduzione, si traccia una rapida panoramica del VI libro per contestualizzare al suo interno il passo oggetto del commento; ci si concentra, poi, sul significato della meraviglia e del meraviglioso nell’opera, anche a confronto con la tradizione paradossografica. Seguono il testo, corredato di un sintetico apparato critico, e la traduzione. Nel commento, che intende valorizzare il côté letterario, filosofico e scientifico dell’opera, sono affrontati i più rilevanti problemi testuali ed esegetici, oltre a questioni di ordine grammaticale, linguistico, stilistico e metrico. Chiudono il lavoro due appendici di natura critico-testuale.

Applying machine learning: a multi-role perspective

Machine (and deep) learning technologies are more and more present in several fields. It is undeniable that many aspects of our society are empowered by such technologies: web searches, content filtering on social networks, recommendations on e-commerce websites, mobile applications, etc., in addition to academic research. Moreover, mobile devices and internet sites, e.g., social networks, support the collection and sharing of information in real time. The pervasive deployment of the aforementioned technological instruments, both hardware and software, has led to the production of huge amounts of data. Such data has become more and more unmanageable, posing challenges to conventional computing platforms, and paving the way to the development and widespread use of the machine and deep learning. Nevertheless, machine learning is not only a technology. Given a task, machine learning is a way of proceeding (a way of thinking), and as such can be approached from different perspectives (points of view). This, in particular, will be the focus of this research. The entire work concentrates on machine learning, starting from different sources of data, e.g., signals and images, applied to different domains, e.g., Sport Science and Social History, and analyzed from different perspectives: from a non-data scientist point of view through tools and platforms; setting a problem stage from scratch; implementing an effective application for classification tasks; improving user interface experience through Data Visualization and eXtended Reality. In essence, not only in a quantitative task, not only in a scientific environment, and not only from a data-scientist perspective, machine (and deep) learning can do the difference.

Data-driven and data-oriented methods for materials science and technologies

The discovery of new materials and their functions has always been a fundamental component of technological progress. Nowadays, the quest for new materials is stronger than ever: sustainability, medicine, robotics and electronics are all key assets which depend on the ability to create specifically tailored materials. However, designing materials with desired properties is a difficult task, and the complexity of the discipline makes it difficult to identify general criteria. While scientists developed a set of best practices (often based on experience and expertise), this is still a trial-and-error process. This becomes even more complex when dealing with advanced functional materials. Their properties depend on structural and morphological features, which in turn depend on fabrication procedures and environment, and subtle alterations leads to dramatically different results. Because of this, materials modeling and design is one of the most prolific research fields. Many techniques and instruments are continuously developed to enable new possibilities, both in the experimental and computational realms. Scientists strive to enforce cutting-edge technologies in order to make progress. However, the field is strongly affected by unorganized file management, proliferation of custom data formats and storage procedures, both in experimental and computational research. Results are difficult to find, interpret and re-use, and a huge amount of time is spent interpreting and re-organizing data. This also strongly limit the application of data-driven and machine learning techniques. This work introduces possible solutions to the problems described above. Specifically, it talks about developing features for specific classes of advanced materials and use them to train machine learning models and accelerate computational predictions for molecular compounds; developing method for organizing non homogeneous materials data; automate the process of using devices simulations to train machine learning models; dealing with scattered experimental data and use them to discover new patterns.

Data surveillance for infectious diseases: models, complex networks and machine learning

In this thesis, we investigate the role of applied physics in epidemiological surveillance through the application of mathematical models, network science and machine learning. The spread of a communicable disease depends on many biological, social, and health factors. The large masses of data available make it possible, on the one hand, to monitor the evolution and spread of pathogenic organisms; on the other hand, to study the behavior of people, their opinions and habits. Presented here are three lines of research in which an attempt was made to solve real epidemiological problems through data analysis and the use of statistical and mathematical models. In Chapter 1, we applied language-inspired Deep Learning models to transform influenza protein sequences into vectors encoding their information content. We then attempted to reconstruct the antigenic properties of different viral strains using regression models and to identify the mutations responsible for vaccine escape. In Chapter 2, we constructed a compartmental model to describe the spread of a bacterium within a hospital ward. The model was informed and validated on time series of clinical measurements, and a sensitivity analysis was used to assess the impact of different control measures. Finally (Chapter 3) we reconstructed the network of retweets among COVID-19 themed Twitter users in the early months of the SARS-CoV-2 pandemic. By means of community detection algorithms and centrality measures, we characterized users’ attention shifts in the network, showing that scientific communities, initially the most retweeted, lost influence over time to national political communities. In the Conclusion, we highlighted the importance of the work done in light of the main contemporary challenges for epidemiological surveillance. In particular, we present reflections on the importance of nowcasting and forecasting, the relationship between data and scientific research, and the need to unite the different scales of epidemiological surveillance.