FAST-E en Pacientes con Trauma Abdominal Cerrado Estable, en un Departamento de Urgencias en Colombia

El impacto que ha generado el trauma en Colombia a lo largo de la historia, nos ha obligado a mejorar y adaptar diferentes tipos de sistemas de atención en trauma, basados en los lineamientos internacionales, los cuales buscan evitar el significativo aumento en las tasas de mortalidad y discapacidad que se obtienen de este, especialmente en los servicios de Emergencias en los cuales se reciben el 100% de estos pacientes con traumatismo múltiple o politraumatismo. Dentro de este grupo de pacientes hay un subgrupo que son las pacientes con trauma de abdomen que cursan con estabilidad hemodinámica y además son clasificados de bajo riesgo, ya sea por índices de trauma o por otros métodos como la medición sérica de lactato, los cuales tienen un papel poco despreciable al momento de ver mortalidad y discapacidad por trauma, ya sea penetrante o cerrado; en este trabajo específicamente nos centramos en las personas que consultan al servicio de Emergencias con trauma cerrado de abdomen los cuales son considerados de bajo riesgo, siendo este subgrupo de pacientes uno de los más difíciles de abordar y enfocar al momento de la valoración inicial, ya que se debe tener la seguridad de que no hay lesiones que comprometen la vida y por consiguiente estos pacientes puedan ser dados de alta.

Análisis del proceso de reasentamiento de familias en áreas de alto riesgo no mitigable. Estudio de caso: Sector Nueva Esperanza Localidad Rafael Uribe Uribe (2000-2015)

El presente trabajo de grado analiza el proceso de reasentamiento de familias en zonas de alto riesgo no mitigable por medio del estudio del Plan de rehabilitación, reconstrucción y desarrollo sostenible elaborado para el Sector Nueva Esperanza, en la Localidad Rafael Uribe Uribe, Bogotá. Se pretende así, una aproximación a los procesos de reasentamiento como estrategia de gestión del riesgo en pro de garantizar el derecho a la vida de las familias asentadas en zonas no aptas para vivir y mejorar sustancialmente su calidad de vida. Se identifican y analizan los factores y actores que influyeron en los resultados del Plan, avanzando hacia los resultados de la investigación que permiten señalar los principales retos y lecciones aprendidas con relación a la formulación y ejecución de planes de reasentamiento.

Adaptability and phenotypic stability of soybean cultivars for grain yield and oil content.

ABSTRACT. The aim of this study was to verify the adaptability and stability of soybean cultivars with regards to yield and oil content. Data of soybean yield and oil content were used from experiments set up in six environments in the 2011/12 and 2012/13 crop seasons in the municipalities of Patos de Minas, Uberaba, Lavras, and São Gotardo, Minas Gerais, Brazil, testing 36 commercial soybean cultivars of both conventional and transgenic varieties. The Wricke method and GGE biplot analysis were used to evaluate adaptability and stability of these cultivars. Large variations were observed in grain yield in relation to the different environments studied, showing that these materials are adaptable. The cultivars exhibited significant differences in oil content. The cultivars BRSGO204 (Goiânia) and BRSMG (Garantia) exhibited the greatest average grain yield in the different environments studied, and the cultivar BRSMG 760 SRR had the greatest oil content among the cultivars evaluated. Ecovalence was adopted to identify the most stable cultivars, and the estimates were nearly uniform both for grain yield and oil content, showing a variation of 0.07 and 0.01%, respectively. The GGE biplot was efficient at identifying cultivars with high adaptability and phenotype stability.

REGÍMENES AMBIENTALES: UNA RESPUESTA A LA PROBLEMÁTICA DE LAS CUENCAS INTERNACIONALES CENTROAMERICANAS

Esta investigación pretende explicar cuál es el rol que los regímenes internacionales tienen en la prevención de problemas ambientales y los conflictos sociales existeifies O potenciales en las cuencas internacionales centroamericanas. De forma más especffica. se pretende identificar cuáles son las condiciones paniculares que hacen más efectivo un régimen ambiental y qué tan sostenibles, permanentes, adaptables. vulnerables y justos son estos regímenes. Finalmente, tales hallazgos contribuyen a identificar cuáles han sido las principales líneas de acción y cuáles las que podrían implementar los regímenes para aprovechar las fortalezas y oportunidades con que cuentan y enfrentar de forma más positiva los desafíos ylas amenazas que los aquejan. con el fin de que su gestión mejore, scan más eficaces y cumplan satisfactoriamente los objetivos con que fueron creados.Abstract: The research pretend to explain which is dic role that international rcgimcs havc in tite prevention ofenvimnmenial problems asid social conflicts existern or potent ial in Central America international basins. More speciftc, it pretends lo identify which are dic particular conditions dtat made more effective an environmental regime and how much sustainable, pernianent, adaptable. vulnerable and equal are ihese regimes. Finally. this findings support to idenuty which have been dic principal lines of action and which will be that could be irnpkmented by dic regimes to prof.t ihe advantages and opportunities that they have asid cnfaced in a more positive way dic challenges and disadvantages, with dic objective to improvement it management, tobe more cfficient to reach tIte objectives that they were created.

The Role of B5G UAV-Aided Mobile Networks

With the advent of 5G, several novel network paradigms and technologies have been proposed to fulfil the key requirements imposed. Flexibility, efficiency and scalability, along with sustainability and convenience for expenditure have to be addressed in targeting these brand new needs. Among novel paradigms introduced in the scientific literature in recent years, a constant and increasing interest lies in the use of unmanned aerial vehicles (UAVs) as network nodes supporting the legacy terrestrial network for service provision. Their inherent features of moving nodes make them able to be deployed on-demand in real-time. Which, in practical terms, means having them acting as a base station (BS) when and where there is the highest need. This thesis investigates then the potential role of UAV-aided mobile radio networks, in order to validate the concept of adding an aerial network component and assess the system performance, from early to later stages of its deployment. This study is intended for 5G and beyond systems, to allow time for the technology to mature. Since advantages can be manyfold, the aerial network component is considered at the network layer under several aspects, from connectivity to radio resource management. A particular emphasis is given to trajectory design, because of the efficiency and flexibility it potentially adds to the infrastructure. Two different frameworks have been proposed, to take into account both a re-adaptable heuristic and an optimal solution. Moreover, diverse use cases are taken under analysis, from mobile broadband to machine and vehicular communications. The thesis aim is thus to discuss the potential and advantages of UAV-aided systems from a broad perspective. Results demonstrate that the technology has good prospects for diverse scenarios with a few arrangements.

Le origini e lo sviluppo di Bologna etrusca: rapporti tra l'area nord-orientale e il centro protourbano

Questo progetto di Dottorato si focalizza sulle dinamiche di formazione della città etrusca di Felsina. In un primo momento è stata effettuata una disamina dei punti più critici di questa tematica. Successivamente sono stati affrontati tre contesti in larga parte inediti. Si tratta degli abitati della Fiera e di Caserma Battistini, oltre all'area di Villa Cassarini. Grazie allo studio di questi siti, è stato possibile delineare come il processo poleogenetico di Felsina prende avvio già con la fase finale del Bronzo Finale, momento in cui l'area attorno Bologna viene ripopolata. Agli inizi dell'età del Ferro si svilupperanno numerosi abitati nell'area attorno al futuro centro, che avevano stretti rapporti fra loro in termini di cultura materiale e scelte insediative. Con il passaggio all'VIII sec. a.C. si osserva un rafforzamento dell'area centrale, che nell'arco di mezzo secolo porterà ad un ulteriore accentramento di popolazione nell'area che di lì a poco diventerà la sede della città etrusca di Felsina, esito ultimo di un lungo processo di poleogenesi.

Structural and biophysical characterization of RAD52 as novel pharmacological target for synthetic lethality

RAD52 is a protein involved in various DNA reparation mechanisms. In the last few years, RAD52 has been proposed as a novel pharmacological target for cancer synthetic lethality strategies. Hence, this work has the purpose to investigate RAD52 protein, with biophysical and structural tools to shed light on proteins features and mechanistic details that are, up to now poorly described, and to design novel strategies for its inhibition. My PhD work had two goals: the structural and functional characterization of RAD52 and the identification of novel RAD52 inhibitors. For the first part, RAD52 was characterized both for its DNA interaction and oligomerization state together with its propensity to form high molecular weight superstructures. Moreover, using EM and Cryo-EM techniques, additional RAD52 structural hallmarks were obtained, valuable both for understanding protein mechanism of action and for drug discovery purpose. The second part of my PhD project focused on the design and characterization of novel RAD52 inhibitors to be potentially used in combination therapies with PARPi to achieve cancer cells synthetic lethality, avoiding resistance occurrence and side effects. With this aim we selected and characterized promising RAD52 inhibitors through three different approaches: 19F NMR fragment-based screening; virtual screening campaign; aptamers computational design. Selected hits (fragments, molecules and aptamers) were investigated for their binding to RAD52 and for their mechanism of inhibition. Collected data highlighted the identification of hits worthy to be developed into more potent and selective RAD52 inhibitors. Finally, a side project carried out during my PhD is reported. GSK-3β protein, an already validated pharmacological target was investigated using biophysical and structural biology tools. Here, an innovative and adaptable drug discovery screening pipeline able to directly identify selective compounds with binding affinities not higher than a reference binder was developed.

La autonomía del laudo internacional respecto de la sede del arbitraje: un análisis desde la Convención de Nueva York de 1958

La importancia y el efecto práctico de la CNY son indiscutibles desde hace mucho tiempo. La CNY ha regulado, directa o implícitamente, todos los pilares fundamentales del arbitraje internacional, proporcionando un marco jurídico uniforme para el desarrollo de este mecanismo alternativo de resolución de conflictos. La CNY ha obligado a sus Estados contratantes a reconocer y ejecutar los acuerdos y laudos arbitrales con independencia de sus regulaciones e intereses locales. Así, por su alcance casi universal, la CNY ha alcanzado una relevancia extraordinaria. Conjuntamente con su relevancia, la CNY ha proporcionado fundamentos adicionales para sostener la existencia de una jurisdicción arbitral autónoma que difiera de los ordenamientos jurídicos de cada Estado Contratante. Este planteamiento ha alcanzado aún mayor relevancia al ser avalado por la doctrina, los profesionales del arbitraje y la jurisprudencia de varios países -siendo su máximo exponente la jurisdicción francesa-. Atendiendo a las consecuencias prácticas de este debate, esta tesis abordará (CAP 1) una revisión de la CNY y sus principales disposiciones que sugieren el "estatus constitucional" de la CNY, (CAP 2) los modelos filosóficos del arbitraje internacional, (CAP 3) el fenómeno de la ejecución de los laudos arbitrales anulados por los tribunales nacionales, y (CAP 4) la autonomía jurídica del laudo dictado en un arbitraje internacional respecto de la sede del mismo.

Digital Forensics AI: on Practicality, Optimality, and Interpretability of Digital Evidence Mining Techniques

Digital forensics as a field has progressed alongside technological advancements over the years, just as digital devices have gotten more robust and sophisticated. However, criminals and attackers have devised means for exploiting the vulnerabilities or sophistication of these devices to carry out malicious activities in unprecedented ways. Their belief is that electronic crimes can be committed without identities being revealed or trails being established. Several applications of artificial intelligence (AI) have demonstrated interesting and promising solutions to seemingly intractable societal challenges. This thesis aims to advance the concept of applying AI techniques in digital forensic investigation. Our approach involves experimenting with a complex case scenario in which suspects corresponded by e-mail and deleted, suspiciously, certain communications, presumably to conceal evidence. The purpose is to demonstrate the efficacy of Artificial Neural Networks (ANN) in learning and detecting communication patterns over time, and then predicting the possibility of missing communication(s) along with potential topics of discussion. To do this, we developed a novel approach and included other existing models. The accuracy of our results is evaluated, and their performance on previously unseen data is measured. Second, we proposed conceptualizing the term “Digital Forensics AI” (DFAI) to formalize the application of AI in digital forensics. The objective is to highlight the instruments that facilitate the best evidential outcomes and presentation mechanisms that are adaptable to the probabilistic output of AI models. Finally, we enhanced our notion in support of the application of AI in digital forensics by recommending methodologies and approaches for bridging trust gaps through the development of interpretable models that facilitate the admissibility of digital evidence in legal proceedings.

Integrated communication and learning towards autonomous mobile radio networks

The integration of distributed and ubiquitous intelligence has emerged over the last years as the mainspring of transformative advancements in mobile radio networks. As we approach the era of “mobile for intelligence”, next-generation wireless networks are poised to undergo significant and profound changes. Notably, the overarching challenge that lies ahead is the development and implementation of integrated communication and learning mechanisms that will enable the realization of autonomous mobile radio networks. The ultimate pursuit of eliminating human-in-the-loop constitutes an ambitious challenge, necessitating a meticulous delineation of the fundamental characteristics that artificial intelligence (AI) should possess to effectively achieve this objective. This challenge represents a paradigm shift in the design, deployment, and operation of wireless networks, where conventional, static configurations give way to dynamic, adaptive, and AI-native systems capable of self-optimization, self-sustainment, and learning. This thesis aims to provide a comprehensive exploration of the fundamental principles and practical approaches required to create autonomous mobile radio networks that seamlessly integrate communication and learning components. The first chapter of this thesis introduces the notion of Predictive Quality of Service (PQoS) and adaptive optimization and expands upon the challenge to achieve adaptable, reliable, and robust network performance in dynamic and ever-changing environments. The subsequent chapter delves into the revolutionary role of generative AI in shaping next-generation autonomous networks. This chapter emphasizes achieving trustworthy uncertainty-aware generation processes with the use of approximate Bayesian methods and aims to show how generative AI can improve generalization while reducing data communication costs. Finally, the thesis embarks on the topic of distributed learning over wireless networks. Distributed learning and its declinations, including multi-agent reinforcement learning systems and federated learning, have the potential to meet the scalability demands of modern data-driven applications, enabling efficient and collaborative model training across dynamic scenarios while ensuring data privacy and reducing communication overhead.

Fighting child marriage in developing countries: design and development of a mobile application

Child marriage is still a great issue in developing countries and even if the interventions to prevent it are having results, they are not enough to eliminate the problem. Among the strategies that seem to work most to fight child marriage, there is the empowerment of girls with information combined with education of parents and community. As smartphones are more accessible year after year in developing countries, this thesis wants to investigate if a mobile app could be effective in fighting child marriage and which characteristics such an app should have. The research was organized in four phases and used design and creation and case study methodologies. Firstly, the literature was analyzed and an initial design was proposed. Secondly, expert interviews were performed to gain feedback on the proposed design, and afterwards prototype was built. Thirdly, a case study in the Democratic Republic of Congo (DRC) was performed to test the prototype, gaining insights and improvements through group interviews with 26 girls aged 15-19. Finally, a first version of the app was developed and a second phase of the case study was run in the DRC to understand if the girls were able to use the app. This phase included 14 girls of which 6 had participated in the prototype testing and used questionnaires as a data generation method. The app was built following the Principles for Digital Development. Even if this app is built based on the case study in DRC is modular and easily adaptable to other contexts as it is not content-specific. It was shown that is worth continuing to study this topic and it was defined a conceptual framework for designing learning apps for developing countries, in particular, to fight child, early, and forced marriage.

Instrument transformers with Digital outputting high voltage power networks

In recent years, energy modernization has focused on smart engineering advancements. This entails designing complicated software and hardware for variable-voltage digital substations. A digital substation consists of electrical and auxiliary devices, control and monitoring devices, computers, and control software. Intelligent measurement systems use digital instrument transformers and IEC 61850-compliant information exchange protocols in digital substations. Digital instrument transformers used for real-time high-voltage measurements should combine advanced digital, measuring, information, and communication technologies. Digital instrument transformers should be cheap, small, light, and fire- and explosion-safe. These smaller and lighter transformers allow long-distance transmission of an optical signal that gauges direct or alternating current. Cost-prohibitive optical converters are a problem. To improve the tool's accuracy, amorphous alloys are used in the magnetic circuits and compensating feedback. Large-scale voltage converters can be made cheaper by using resistive, capacitive, or hybrid voltage dividers. In known electronic voltage transformers, the voltage divider output is generally on the low-voltage side, facilitating power supply organization. Combining current and voltage transformers reduces equipment size, installation, and maintenance costs. These two gadgets cost less together than individually. To increase commercial power metering accuracy, current and voltage converters should be included into digital instrument transformers so that simultaneous analogue-to-digital samples are obtained. Multichannel ADC microcircuits with synchronous conversion start allow natural parallel sample drawing. Digital instrument transformers are created adaptable to substation operating circumstances and environmental variables, especially ambient temperature. An embedded microprocessor auto-diagnoses and auto-calibrates the proposed digital instrument transformer.