Relación entre los riesgos percibidos por los trabajadores en minería subterránea y los accidentes de trabajo y enfermedades laborales

Introducción: La minería es considerada uno de los sectores económicos más importantes por su capacidad para generar recursos en su propio sector y en otros sectores como metalmecánica, agricultura e informática entre otros, y por su contribución al desarrollo socioeconómico sostenible de las poblaciones. Objetivo: Determinar la relación entre los riesgos percibidos por los trabajadores que laboran en minería subterránea en 3 departamentos de Colombia y los Accidentes de Trabajo (AT) y Enfermedades Laborales (EL). Materiales y Métodos: Estudio de corte transversal en 476 trabajadores de minería subterránea. Se incluyeron variables independientes (características sociodemográficas y laborales y percepción del riesgo) y variables dependientes (enfermedad laboral y accidente de trabajo), obtenidas a través de una entrevista directa aplicada por profesionales de la salud previamente capacitados. Para el análisis estadístico se utilizó la Prueba Exacta de Fisher, el Odds Ratio (OR) con el Intervalo de Confianza (IC) del 95%. Resultados: En los trabajadores de minería subterránea en los departamentos de Boyacá, Cundinamarca y Santander, se encontró relación estadística significativa entre la accidentalidad con la percepción de riesgo por iluminación (OR= 2.059, IC= 95%: 1.116, 3.798, p=0.013), percepción de riesgo por movimientos repetitivos (OR= 1.951, IC= 95%: 0.998, 3.815, p=0.034), percepción de riesgo por ruido (OR= 2.275, IC= 95%: 0.974, 5.312, p=0.039) y percepción de riesgo por manejo de cargas (OR= 1.778, IC= 95%: 0.969, 3.264, p=0.041). Conclusión: se encontró que existe una relación significativa entre la percepción de riesgo de los trabajadores de minería subterránea con accidentes de trabajo y que no existe relación entre esta percepción y las enfermedades laborales.

La construcción de sentido (‘sensemaking’) de un entorno estratégico turbulento por parte de los altos directivos: un estudio en una multinacional automotriz

Este artículo presenta los resultados de una investigación realizada al interior de dos contextos. Por un lado, el teórico, en el marco de uno de los discursos más relevantes en los campos de la estrategia organizacional, de la managerial and organizational cognition (MOC) y, en general, de los estudios organizacionales (organization studies): la construcción de sentido (sensemaking). Por el otro, el empírico, en una de las grandes compañías multinacionales del sector automotriz con presencia global. Esta corporación enfrenta una permanente tensión entre lo que dicta la casa matriz, en relación con el cumplimiento de metas y estándares específicos, considerando el mundo entero, y los retos que, teniendo en cuenta lo regional y lo local, experimentan los altos directivos encargados de hacer prosperar la empresa en estos lugares. La aproximación implementada fue cualitativa. Esto en atención a la naturaleza de la problemática abordada y la tradición del campo. Los resultados permiten ampliar el actual nivel de comprensión acerca de los procesos de sensemaking de los altos directivos al enfrentar un entorno estratégico turbulento.

Multi-phase electric drives for mobility

Multi-phase electrical drives are potential candidates for the employment in innovative electric vehicle powertrains, in response to the request for high efficiency and reliability of this type of application. In addition to the multi-phase technology, in the last decades also, multilevel technology has been developed. These two technologies are somewhat complementary since both allow increasing the power rating of the system without increasing the current and voltage ratings of the single power switches of the inverter. In this thesis, some different topics concerning the inverter, the motor and the fault diagnosis of an electric vehicle powertrain are addressed. In particular, the attention is focused on multi-phase and multilevel technologies and their potential advantages with respect to traditional technologies. First of all, the mathematical models of two multi-phase machines, a five-phase induction machine and an asymmetrical six-phase permanent magnet synchronous machines are developed using the Vector Space Decomposition approach. Then, a new modulation technique for multi-phase multilevel T-type inverters, which solves the voltage balancing problem of the DC-link capacitors, ensuring flexible management of the capacitor voltages, is developed. The technique is based on the proper selection of the zero-sequence component of the modulating signals. Subsequently, a diagnostic technique for detecting the state of health of the rotor magnets in a six-phase permanent magnet synchronous machine is established. The technique is based on analysing the electromotive force induced in the stator windings by the rotor magnets. Furthermore, an innovative algorithm able to extend the linear modulation region for five-phase inverters, taking advantage of the multiple degrees of freedom available in multi-phase systems is presented. Finally, the mathematical model of an eighteen-phase squirrel cage induction motor is defined. This activity aims to develop a motor drive able to change the number of poles of the machine during the machine operation.

Learning from errors: Psychological, relational, and cultural aspects

Although errors might foster learning, they can also be perceived as something to avoid if they are associated with negative consequences (e.g., receiving a bad grade or being mocked by classmates). Such adverse perceptions may trigger negative emotions and error-avoidance attitudes, limiting the possibility to use errors for learning. These students’ reactions may be influenced by relational and cultural aspects of errors that characterise the learning environment. Accordingly, the main aim of this research was to investigate whether relational and cultural characteristics associated with errors affect psychological mechanisms triggered by making mistakes. In the theoretical part, we described the role of errors in learning using an integrated multilevel (i.e., psychological, relational, and cultural levels of analysis) approach. Then, we presented three studies that analysed how cultural and relational error-related variables affect psychological aspects. The studies adopted a specific empirical methodology (i.e., qualitative, experimental, and correlational) and investigated different samples (i.e., teachers, primary school pupils and middle school students). Findings of study one (cultural level) highlighted errors acquire different meanings that are associated with different teachers’ error-handling strategies (e.g., supporting or penalising errors). Study two (relational level) demonstrated that teachers’ supportive error-handling strategies promote students’ perceptions of being in a positive error climate. Findings of study three (relational and psychological level) showed that positive error climate foster students’ adaptive reactions towards errors and learning outcomes. Overall, our findings indicated that different variables influence students’ learning from errors process and teachers play an important role in conveying specific meanings of errors during learning activities, dealing with students’ mistakes supportively, and establishing an error-friendly classroom environment.

The EU’s foreign policy towards the Western Balkans during the Juncker Commission. The cases of Bosnia Herzegovina and Serbia.

In February 2018, four years after the President of the Commission Jean Claude Juncker explicitly deprioritised the enlargement dossier, the European Commission relaunched the enlargement strategy to the region of the Western Balkans. This occurred despite the persistent polarisation around the topic among the EU Member States and the still-present struggles, when not outright regression, of some of the countries in pursuing the demanded reforms. This thesis carries out a multilevel foreign policy analysis of EU foreign policy toward the region of the Western Balkans during the period of the Juncker Commission, through the cases of Bosnia Herzegovina and Serbia. Drawing from Actorness theory (Bretherton and Vogler 2006), combined with perspectives from new institutional leadership (Smeets and Beach 2020), and new intergovernmentalism (Moravcsik 2018; Bickerton et al. 2015), this study seeks to explain the relaunch of enlargement by examining three dimensions: the international context and the role of non-EU actors such as China, Russia, and Turkey; the EU context, through the interaction of the significant EU Member States and Institutions; finally, the local context, through the analysis of the changes in the local perception of the EU and the considered non-EU actors. This study posits two interconnected points: first, that the changes in the international context, specifically the increased presence of non-EU actors such as China, Russia, and Turkey in the region, acted as triggering factors for the relaunch of the strategy. In addition, it argues that this relaunch was successful due to the peculiar combination of Germany’s interests and leadership within the Council, coupled with the Commission’s priorities.

PCM-based in-memory computing: architectures, circuits and applications

Analog In-memory Computing (AIMC) has been proposed in the context of Beyond Von Neumann architectures as a valid strategy to reduce internal data transfers energy consumption and latency, and to improve compute efficiency. The aim of AIMC is to perform computations within the memory unit, typically leveraging the physical features of memory devices. Among resistive Non-volatile Memories (NVMs), Phase-change Memory (PCM) has become a promising technology due to its intrinsic capability to store multilevel data. Hence, PCM technology is currently investigated to enhance the possibilities and the applications of AIMC. This thesis aims at exploring the potential of new PCM-based architectures as in-memory computational accelerators. In a first step, a preliminar experimental characterization of PCM devices has been carried out in an AIMC perspective. PCM cells non-idealities, such as time-drift, noise, and non-linearity have been studied to develop a dedicated multilevel programming algorithm. Measurement-based simulations have been then employed to evaluate the feasibility of PCM-based operations in the fields of Deep Neural Networks (DNNs) and Structural Health Monitoring (SHM). Moreover, a first testchip has been designed and tested to evaluate the hardware implementation of Multiply-and-Accumulate (MAC) operations employing PCM cells. This prototype experimentally demonstrates the possibility to reach a 95% MAC accuracy with a circuit-level compensation of cells time drift and non-linearity. Finally, empirical circuit behavior models have been included in simulations to assess the use of this technology in specific DNN applications, and to enhance the potentiality of this innovative computation approach.

La codificazione del danno ambientale. La sfida del diritto privato tra interessi individuali e interessi collettivi

La tesi ha ad oggetto la tutela dell’ambiente e il ruolo svolto dal diritto privato. In particolare, si affrontano gli aspetti che caratterizzano il danno all’ambiente e, ancor più nel dettaglio, si fa emergere la dimensione plurioffensiva. Si risolvono alcuni nodi e alcune problematiche che si manifestano in relazione alla legittimazione ad agire per danno all’ambiente e, di conseguenza, si focalizza l’attenzione sull’individuazione delle situazioni giuridiche soggettive ad esso correlate: termini come diritto soggettivo, interessi collettivi, interessi diffusi, legittimazione soggettiva e legittimazione oggettiva costituiscono il leitmotiv dell’indagine. Al fine di poter inquadrare sistematicamente il tema ambientale nella sfera del diritto privato, si analizzano i fondamenti del costituzionalismo e del diritto privato moderno, le ragioni dell’esistenza della dicotomia pubblico-privato e della separazione di interessi ad essa corrispondente. Quest’indagine, contenuta nel primo capitolo della tesi, è necessaria per cogliere le motivazioni della tendenziale estromissione (soprattutto nell’ambito delle categorie civilistiche) degli interessi superindividuali, degli interessi collettivi e dei corpi intermedi che ne sono portatori. Nel secondo capitolo si ripercorre, nell’intervallo temporale che va dagli anni ’70 sino alla fine degli anni ’90, l’evoluzione normativa e le principali teorie relative al danno all’ambiente. L’analisi di questi stessi temi, nel periodo intercorrente tra l’inizio del nuovo Millennio e i giorni nostri, è oggetto di indagine anche del terzo ed ultimo capitolo, in cui l’attenzione si sposta inevitabilmente sulla legislazione europea e sulla tutela multilivello dei diritti. Nelle conclusioni del lavoro, infine, ci si interroga sulla funzione giudiziaria e sulla separazione dei poteri nella gestione del problema ambientale, nonché sulla valenza attuale dei diritti soggettivi e dei diritti fondamentali dell’uomo nel costituzionalismo democratico. In questa sede, si illustra e si propone una dimensione istituzionale del diritto soggettivo, declinato in termini di partecipazione democratica.

QoS-aware architectures, technologies, and middleware for the cloud continuum

The recent trend of moving Cloud Computing capabilities to the Edge of the network is reshaping how applications and their middleware supports are designed, deployed, and operated. This new model envisions a continuum of virtual resources between the traditional cloud and the network edge, which is potentially more suitable to meet the heterogeneous Quality of Service (QoS) requirements of diverse application domains and next-generation applications. Several classes of advanced Internet of Things (IoT) applications, e.g., in the industrial manufacturing domain, are expected to serve a wide range of applications with heterogeneous QoS requirements and call for QoS management systems to guarantee/control performance indicators, even in the presence of real-world factors such as limited bandwidth and concurrent virtual resource utilization. The present dissertation proposes a comprehensive QoS-aware architecture that addresses the challenges of integrating cloud infrastructure with edge nodes in IoT applications. The architecture provides end-to-end QoS support by incorporating several components for managing physical and virtual resources. The proposed architecture features: i) a multilevel middleware for resolving the convergence between Operational Technology (OT) and Information Technology (IT), ii) an end-to-end QoS management approach compliant with the Time-Sensitive Networking (TSN) standard, iii) new approaches for virtualized network environments, such as running TSN-based applications under Ultra-low Latency (ULL) constraints in virtual and 5G environments, and iv) an accelerated and deterministic container overlay network architecture. Additionally, the QoS-aware architecture includes two novel middlewares: i) a middleware that transparently integrates multiple acceleration technologies in heterogeneous Edge contexts and ii) a QoS-aware middleware for Serverless platforms that leverages coordination of various QoS mechanisms and virtualized Function-as-a-Service (FaaS) invocation stack to manage end-to-end QoS metrics. Finally, all architecture components were tested and evaluated by leveraging realistic testbeds, demonstrating the efficacy of the proposed solutions.