Evaluación de las causas de los eventos adversos o incidentes que afectan la seguridad del paciente, en el hospital central de la policía de enero 2012 a diciembre 2013

TITULO DEL TRABAJO: Evaluación de las causas de los eventos adversos o incidentes que afectan la seguridad del paciente, en el hospital central de la policía de enero 2012 a diciembre 2013. OBJETIVO: Determinar y analizar la causa raíz de los principales factores de riesgo que afectan la seguridad del paciente que puedan ocasionar eventos adversos en la atención de los pacientes, con el uso de la teoría de restricciones TOC en el Hospital Central de la Policía HOCEN. MATERIALES Y METODO: Se realizó una investigación descriptiva de naturaleza mixta – cuantitativa de tipo correlacional, la población es la totalidad de pacientes atendidos en el hospital de la policía entre enero de 2012 a diciembre de 2013, en el cual se presentaron un total de 189 eventos adversos los cuales sirvieron de objeto a esta investigación, la recolección de datos se realizó por medio de tablas de Excel 2010, posterior a esto se exporto la información al software de IBM SPSS Statistics 19 donde se analiza la información arrojando datos descriptivos y tablas de frecuencia. Finalmente haciendo uso de la Teoría de restricciones TOC se identificó la causa raíz para la ocurrencia de eventos adversos y plantear una intervención estratégica que promueva un sistema efectivo de seguridad del paciente en pro de la búsqueda de la mejora continua. RESULTADOS: Se analizaron 189 eventos adversos, de los cuales 89 fueron reportados en el turno de la noche, seguido por el turno de la mañana con 57, el turno tarde con 27, 28 eventos que no registraron horario, el servicio con mayor ocurrencia es el de medicina interna con 25 eventos, y finalmente la caída de pacientes, lo relacionado con medicamentos, nutriciones y accesos vasculares son los eventos con mayor incidencia. CONCLUSIONES: Se pudo concluir que es necesario que los procesos de seguridad del paciente deben tener un lineamiento directo desde la dirección de la organización permitiendo que las mejoras sean de inmediata aplicación, también es importante generar en el personal una actitud de compromiso frente al proceso de mejora, hay que redefinir las políticas institucionales ya que se concluyó por medio de la teoría de restricciones TOC que el principal factor para la ocurrencia de eventos adversos son las multitareas que el personal tiene que realizar en el proceso de atención.

La cultura del trabajo y la igualdad en la Nueva Granada

Basada en los conceptos de Alexis de Tocqueville, esta investigación busca explicar de qué manera la cultura del trabajo influyó en la igualdad de condiciones. Para esto fue necesario analizar cómo la sociedad neogranadina acogía nuevas teorías y prácticas del mundo moderno liberal en su estructura socio-económica y política, haciendo indispensable, en primer lugar, realizar un estudio detallado de la situación de la Nueva Granada en los aspectos mencionados, durante finales del siglo XVIII y gran parte del siglo XIX. En principio se puede deducir que la cultura del trabajo no tuvo influencia en la igualdad de condiciones, porque la concepción protestante de la salvación del alma no halló en los neogranadinos la aceptación que requería para hacer de este un pueblo trabajador y tampoco se pudo garantizar una situación de igualdad de condiciones desde un aspecto cultural, sino que estuvo presente por medio de leyes que no eran respetadas.

Using Different Co-Adjuvant Activating Agents to Improve Activated Carbon Adsorption Capacities

Activated carbon (AC) has proved to be an effective adsorbent for the removal of an assortment of organic and inorganic pollutants from aqueous or gaseous media. However, the pursuit for more effective and cheaper AC is still very active and a diversity of textural and chemical treatments are described as a way to expand their applications. It is well known that the surface area and surface chemistry of AC strongly affect their adsorption capacity [1-3]. In particular, an increase in the nitrogen content has been related to an increase of the basic character and also to the development of the porous structure. In most published work this was achieved through an AC post treatment, including either a reaction with nitrogen containing reagents, such as ammonia, nitric acid, or a diversity of amines. However, the AC prepared directly from a nitrogen rich precursor through a physical or chemical activation is referred to as presenting the best characteristics, namely high nitrogen content, high basic character, low nitrogen leaching and also a good thermal stability [4]. To improve the AC adsorption capacities for acidic pesticide removal from the aqueous phase, we intend to improve the porous structure and introduce nitrogenated groups directly into the AC matrix, using different co-adjuvant activating agents as a nitrogen source, by chemical activation, with potassium hydroxide, of cork or poly(ethyleneterephthalate) (PET) precursors.

Relatório no âmbito da unidade curricular prática de ensino supervisionada, realizada na Escola Secundária/3 Rainha Santa Isabel de Estremoz

O presente relatório foi produzido no âmbito da unidade curricular Prática de Ensino Supervisionada, que faz parte do Mestrado em Ensino do Português no 3º Ciclo do Ensino Básico e Ensino Secundário e de Espanhol nos Ensinos Básico e Secundário, sob a orientação da Professora Doutora Ângela Maria Franco Martins Coelho de Paiva Balça. Identifica-se, na sua essência basilar, como um trabalho reflexivo-descritivo sobre a prática aplicada e efetuada no ano letivo 2015/2016, no lecionamento das disciplinas de Português em duas turmas de 10º ano, e de Espanhol – Língua Estrangeira I numa de 7º ano, na Escola Secundária/3 Rainha Santa Isabel, de Estremoz. Além do mais, também constitui o expoente de todo o processo levado a cabo durante os dois anos do Mestrado, o qual permitiu e conduziu à revisão, modificação, inovação e progressão em matéria de conceitos, ideias, noções, ações e teorias, quer fossem mais antigas ou recentes. Este é o produto final e contributo para o desenvolvimento e melhoria a nível pessoal e profissional. Através do conhecimento da literatura teórica e da sua aplicação na ação, a reflexão compromete-nos a cumprir uma prática fundamentada e apoiada em toda a documentação mundial, europeia e portuguesa normativa e de referência para o exercício da profissão docente o mais completo e eficaz possível. Mais do que um relatório, é uma avaliação orientativa da dimensão transformadora no desempenho docente que, na sua parte mais cogitativa, expõe estruturalmente: a observação e o seu registo; a observação em contexto; a planificação; a orientação; a componente letiva – aulas lecionadas (análise, aprendizagem e melhorias) e a pesquisa reflexiva na abordagem dos inquéritos passados nas turmas de Português e de Espanhol; e, por fim, a abordagem reflexiva sobre a avaliação formativa das aprendizagens realizada às turmas de 10º ano, na disciplina de Português; ABSTRACT: This report was produced in the scope of Supervised Teaching Practice’s curricular unit, which is part of the Master’s Degree in Teaching Portuguese for the 3rd stage of Primary Education and Secondary Education, and Spanish Foreign Language Teaching for Primary and Secondary Education, under the supervision of Dr. Ângela Maria Franco Martins Coelho de Paiva Balça. In its basic essence, this is a reflective and descriptive paper about practices applied and performed for the 2015-2016 school year to teach Portuguese, in two tenth grade classes, and Spanish as a Foreign Language, in one seventh grade class at Rainha Santa Isabel School of Estremoz. Furthermore, it outlines the entire process carried out during the two years of the Master’s Degree, which provided and led to review, change, breakthrough, and advancement regarding concepts, ideas, assumptions, and theories, whether they were pre-existing or more recent. This is the final product and the contribution towards development and improvement in personal and professional terms. Through knowledge of theoretical literature and applying it to practice, the reflection leads us to compile substantiated and supported practice in all worldwide, European, and Portuguese standards and reference documentation for the most effective pursuit of the profession. More than a report, this is an evaluation of transformation in teaching performance that structurally examines the following: observation and its registration; observation in the field; lesson design; guidance and monitoring; a teaching component (analysis, apprenticeships, and improvements) with a reflective element based on the results of the Portuguese and Spanish class surveys; and, finally, a reflexive approach about formative assessment of student learning that took place within the Portuguese course.

Intelligent Sensor Systems for Structural Health Monitoring Applications

The convergence between the recent developments in sensing technologies, data science, signal processing and advanced modelling has fostered a new paradigm to the Structural Health Monitoring (SHM) of engineered structures, which is the one based on intelligent sensors, i.e., embedded devices capable of stream processing data and/or performing structural inference in a self-contained and near-sensor manner. To efficiently exploit these intelligent sensor units for full-scale structural assessment, a joint effort is required to deal with instrumental aspects related to signal acquisition, conditioning and digitalization, and those pertaining to data management, data analytics and information sharing. In this framework, the main goal of this Thesis is to tackle the multi-faceted nature of the monitoring process, via a full-scale optimization of the hardware and software resources involved by the {SHM} system. The pursuit of this objective has required the investigation of both: i) transversal aspects common to multiple application domains at different abstraction levels (such as knowledge distillation, networking solutions, microsystem {HW} architectures), and ii) the specificities of the monitoring methodologies (vibrations, guided waves, acoustic emission monitoring). The key tools adopted in the proposed monitoring frameworks belong to the embedded signal processing field: namely, graph signal processing, compressed sensing, ARMA System Identification, digital data communication and TinyML.

Il benessere del suino pesante italiano: esperienze di ricerca in allevamento, durante il trasporto e nella percezione dei consumatori

Questo elaborato contiene studi riguardanti il benessere del suino pesante italiano ed in particolare si sofferma su alcuni aspetti particolarmente significativi per il miglioramento del benessere. Gli aspetti in esame hanno riguardato la percezione da parte del consumatore italiano del benessere in azienda; inoltre sono stati studiati gli effetti sul benessere di alcune caratteristiche dell'allevamento e di aspetti multifattoriali riguardanti il trasporto al macello. Alla luce dei lavori contenuti in questo lavoro, emerge come una revisione della normativa, anche considerando la categoria dei suini pesanti, possa migliorare notevolmente le loro condizioni di benessere. I consumatori italiani, infatti, hanno confermato di essere attenti e interessati al benessere animale, oltre che disposti a spendere di più per gli animali derivanti da pratiche innovative e più rispettose del benessere, come l'immunocastrazione. Un altro criterio importante, soprattutto in questa categoria di prodotti, è la disponibilità di spazio. Le nostre evidenze sperimentali dimostrano che garantire a questa categoria di suini requisiti di spazio superiori a quelli richiesti dalla normativa migliora il comportamento degli animali e i parametri di produzione. Infine, in termini di trasporto, lo studio da noi condotto ha permesso di identificare parametri da utilizzare come indicatori del livello di stress degli animali, risultando in una buona correlazione con i parametri di stress ematobiochimico. A conclusione di queste variegate esperienze di ricerca, si evidenzia quindi come investire in ulteriori impegni da parte del settore suinicolo, perseguendo l'obiettivo di ridurre al minimo gli stress a cui sono sottoposti i suini pesanti nel corso della loro vita, dall'adozione di tecniche di castrazione meno invasive, il miglioramento delle condizioni di allevamento e di trasporto, dovrebbe essere l'obiettivo comune di tutti i protagonisti della filiera, anche con l’obiettivo di ottenere un prodotto finale con un valore etico che soddisfi le aspettative implicite del consumatore.

The integration of immigrant-origin youths in Japan

The steadily growing immigration phenomenon in today’s Japan is showing a tangible and expanding presence of immigrant-origin youths residing in the country. International research in the migration studies area has underlined the importance of focusing on immigrant-origin youths to shed light on the character of the way immigrant incorporate in countries of destinations. In-deed, immigrants’ offspring, the adults of tomorrow, embody the interlocutor between first-generation immigrants and the receiving societal context. The extent of the presence of immigrants’ children in countries of destination is also a reliable yardstick to assess the maturation of the migration process, transforming it from a temporary phenomenon to a long-term settlement. Within this framework, the school is a privileged site to observe and analyze immigrant-origin youths’ integration. Alongside their family and peers, school constitutes one of the main agents of socialization. Here, children learn norms and rules and acquire the necessary tools to eventually compete in the pursuit of an occupation, determining their future socioeconomic standing. This doctoral research aims to identify which theoretical model articulated in the area of migration studies best describes the adaptation process of immigrant-origin youths in Japan. In particular, it examines whether (and to what extent) any of the pre-existing frameworks can help explain the Japanese occurring circumstances, or whether further elaboration and adjustment are needed. Alternatively, it studies whether it is necessary to produce a new model based on the peculiarities of the Japanese social context. This study provides a theoretical-oriented contribution to the (mainly descriptive but maturing) literature on immigrant-origin youths’ integration in Japan. Considering past growth trends of Japanese immigration and its expanding prospective projections (Korekawa 2018c), this study might be considered pioneering for future development of the phenomenon.

La performance rituale delle Nava Durgā: musica e danza tra i Banmālā di Bhaktapur, Nepal

Il presente lavoro è il risultato di cinque anni di ricerca sulla performance rituale delle Nava Durgā del popolo newar a Bhaktapur (Nepal). Dal 1512, per circa nove mesi all'anno, gli uomini della casta inferiore Banmālā reincarnano le nove manifestazioni femminili della dea Durgā ed eseguono le danze in maschera. La performance della Nava Durgā è una pratica culturale molto complessa, composta da suoni, danze, processioni, momenti di venerazione (pūjā), rituali tantrici e momenti sacrificali. Gli aspetti musicali e teatrali della performance costituiscono il focus dell’indagine di questo studio. Dopo una descrizione analitica degli strumenti musicali utilizzati nella performance, alcuni elementi sonori vengono trascritti e analizzati mettendo in luce le caratteristiche tipiche della musica newar. I contenuti narrativi delle danze e il ciclo vitale delle Nava Durgā rispecchiano la vita hindu. La loro interpretazione viene realizzata in base alle osservazioni etnografiche; alcuni temi che costituiscono gli obiettivi dei devoti hindu (puruṣārtha) vengono esaminati attraverso l’approccio storico e quello etnografico, anche al fine di sottolineare il ruolo didascalico e formativo della performance. Un altro argomento discusso in questo lavoro consiste nell'identità dei danzatori Banmālā e quella del popolo newar in generale; questo aspetto è emerso in modo rilevante anche durante le fasi di mediatizzazione della performance delle Nava Durgā avvenute nel periodo del COVID-19. Da questo punto di vista, il presente lavoro costituisce un contributo alla diffusione della conoscenza della tradizione delle Nava Durgā; questo converge con l'obiettivo dei Banmālā di aumentare la visibilità della performance al fine di affermare la propria identità sia nel contesto nazionale che in quello internazionale.

Integration of heterogeneous data sources and automated reasoning in healthcare and domotic IoT systems

In recent years, IoT technology has radically transformed many crucial industrial and service sectors such as healthcare. The multi-facets heterogeneity of the devices and the collected information provides important opportunities to develop innovative systems and services. However, the ubiquitous presence of data silos and the poor semantic interoperability in the IoT landscape constitute a significant obstacle in the pursuit of this goal. Moreover, achieving actionable knowledge from the collected data requires IoT information sources to be analysed using appropriate artificial intelligence techniques such as automated reasoning. In this thesis work, Semantic Web technologies have been investigated as an approach to address both the data integration and reasoning aspect in modern IoT systems. In particular, the contributions presented in this thesis are the following: (1) the IoT Fitness Ontology, an OWL ontology that has been developed in order to overcome the issue of data silos and enable semantic interoperability in the IoT fitness domain; (2) a Linked Open Data web portal for collecting and sharing IoT health datasets with the research community; (3) a novel methodology for embedding knowledge in rule-defined IoT smart home scenarios; and (4) a knowledge-based IoT home automation system that supports a seamless integration of heterogeneous devices and data sources.

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.

Two stroke cycle, novel combustion concepts and electrification for a new generation of internal combustion engines

The pursuit of decarbonization and increased efficiency in internal combustion engines (ICE) is crucial for reducing pollution in the mobility sector. While electrification is a long-term goal, ICE still has a role to play if coupled with innovative technologies. This research project explores various solutions to enhance ICE efficiency and reduce emissions, including Low Temperature Combustion (LTC), Dual fuel combustion with diesel and natural gas, and hydrogen integration. LTC methods like Dual fuel and Reactivity Controlled Compression Ignition (RCCI) show promise in lowering emissions such as NOx, soot, and CO2. Dual fuel Diesel-Natural Gas with hydrogen addition demonstrates improved efficiency, especially at low loads. RCCI Diesel-Gasoline engines offer increased Brake Thermal Efficiency (BTE) compared to standard diesel engines while reducing specific NOx emissions. The study compares 2-Stroke and 4-Stroke engine layouts, optimizing scavenging systems for both aircraft and vehicle applications. CFD analysis enhances specific power output while addressing injection challenges to prevent exhaust short circuits. Additionally, piston bowl shape optimization in Diesel engines running on Dual fuel (Diesel-Biogas) aims to reduce NOx emissions and enhance thermal efficiency. Unconventional 2-Stroke architectures, such as reverse loop scavenged with valves for high-performance cars, opposed piston engines for electricity generation, and small loop scavenged engines for scooters, are also explored. These innovations, alongside ultra-lean hydrogen combustion, offer diverse pathways toward achieving climate neutrality in the transport sector.

Development and testing of methodologies for the control and diagnosis of innovative combustion systems

In pursuit of aligning with the European Union's ambitious target of achieving a carbon-neutral economy by 2050, researchers, vehicle manufacturers, and original equipment manufacturers have been at the forefront of exploring cutting-edge technologies for internal combustion engines. The introduction of these technologies has significantly increased the effort required to calibrate the models implemented in the engine control units. Consequently the development of tools that reduce costs and the time required during the experimental phases, has become imperative. Additionally, to comply with ever-stricter limits on 〖"CO" 〗_"2" emissions, it is crucial to develop advanced control systems that enhance traditional engine management systems in order to reduce fuel consumption. Furthermore, the introduction of new homologation cycles, such as the real driving emissions cycle, compels manufacturers to bridge the gap between engine operation in laboratory tests and real-world conditions. Within this context, this thesis showcases the performance and cost benefits achievable through the implementation of an auto-adaptive closed-loop control system, leveraging in-cylinder pressure sensors in a heavy-duty diesel engine designed for mining applications. Additionally, the thesis explores the promising prospect of real-time self-adaptive machine learning models, particularly neural networks, to develop an automatic system, using in-cylinder pressure sensors for the precise calibration of the target combustion phase and optimal spark advance in a spark-ignition engines. To facilitate the application of these combustion process feedback-based algorithms in production applications, the thesis discusses the results obtained from the development of a cost-effective sensor for indirect cylinder pressure measurement. Finally, to ensure the quality control of the proposed affordable sensor, the thesis provides a comprehensive account of the design and validation process for a piezoelectric washer test system.