The aim of this study was to examine and compare how two different climate protest cases were framed in two Swedish newspapers with different political slants, namely, Aftonbladet and SvD. The study also sought to analyze potential differences between the newspapers, and how closely the portrayals aligned with the protest paradigm. The first protest involved the activist group ‘Återställ Våtmarker’, who gathered on the highway and caused a traffic stop in order to advocate for the restoration of Swedish wetlands. In the second case, climate activists, including Greta Thunberg, participated in a blockade at the entrance to the Parliament to promote climate justice. To examine the framing of these protests, a dataset of articles was analyzed using qualitative content analysis in the form of framing analysis, grounded in the theoretical framework of framing theory and the protest paradigm. The protest paradigm is the tendency of news media to portray protests in a negative light, often depicting them as disruptions to the established order. The study found that the protest on the highway was framed more negatively and thus aligned more closely with the protest paradigm than the other protest. The framing of the Parliament protest, which diverged from the paradigm, was more positive, and mostly emphasized the purpose of the action as well as demonstrated stronger support for the activists. No differences were identified between the newspapers' news articles, but it was noted that the opinion pieces about the parliamentary protest differed. While Aftonbladet's opinion pieces praised the activists, SvD's strongly criticized them.

Under de senaste åren har intresset för spårväg ökat i Sverige och flera städer planerar nya spårvägslinjer. Samtidigt har Bus Rapid Transit eller BRT lyfts fram som ett billigare alternativ till spårväg. Lagen om kollektivtrafik innebär att regioner och kommuner delar ansvaret för kollektivtrafiken. De höga kostnaderna som projekten medför innebär att statliga bidrag som Stadsmiljöavtalen eller Sverigeförhandlingen blir viktiga möjliggörare för projektens genomförande. Samarbetet mellan kommuner, regioner och statliga myndigheter leder till en komplex planprocess där mål och riktlinjer på flera olika nivåer måste tas i beaktning. Infrastruktursatsningar på den skalan förväntas inte bara få konsekvenser på kollektivtrafiken och flera olika visioner för staden kopplas till projekten.  Syftet med arbetet är att förstå vilka diskurser som förekommer inom planeringen av spårväg och BRT. Studien ämnar vidare att undersöka hur diskurser inom planeringen lyfts i olika planeringsdokument. För att ta reda på detta användes fallstudie som den övergripande forskningsstrategin, samt dokumentstudie som den huvudsakliga datainsamlingsmetoden. Arbetet grundas teoretiskt i new mobilities paradigm som innebär att transporter studeras i en tvärvetenskaplig kontext och innebär att perspektiv från sociologi, antropologi och geografi integreras i transportstudier. De undersökta fallen är spårvägen i Lund samt HelsingborgsExpressen i Helsingborg. I varje fall valdes tre dokument ut varav ett var en översiktsplan i varje fall. Dokumentens innehåll och språk analyserades via diskursanalys för att kunna dra slutsatser om vilka diskurser som förekom i fallen. Studien visade att samma diskurser förekom i båda fall. De centrala diskurserna bakom spårvägsprojekten var stadsutveckling, miljö, ekonomi och teknologi. Diskurserna får olika mycket utrymme från dokument till dokument. Diskurserna byggs upp över lång tid och varierar i prominens. Studien visar att stadsutvecklingsdiskursen har ökat i betydelse över tid och att ekonomiska faktorer är en viktig bakomliggande orsak till vilket transportslag kommunerna väljer. Det finns stora likheter i vilka diskurser som tas upp i fallen och även i andra europeiska spårvägsprojekt. Detta visar på att diskurserna är globala och främst kopplade till teknologin och projektets mål snarare än den lokala kontexten.

Visualization has proven to be an effective means for analyzing high-dimensional data, especially Multivariate Multidimensional (MVMD) scientific data. Scientific visualization deals with data that have natural spatial mapping such as maps, buildings interiors or even your physiological body parts, while information visualization involves abstract, non-spatial data. Visual analytics uses either visualization types to gain deep inferences about scientific data or information. In recent years, a variety of techniques have been developed combining statistical and visual analysis tools to represent data of different types in one view to enable data fusion. One vital feature of such visualization tools is the support for comparison: showing the differences between two or more objects. This feature is called visual differencing, or discrimination. Visual differencing is a common requirement across different research domains, helping analysts compare different objects in the data set or compare different attributes of the same object. From a visual analytic point of view, this research examines humans' predictable bias in interpreting visual-spatial, spatiotemporal information, and inference-making in scientific visualization. Practically, I examined different case studies from different domains such as land suitability in agriculture, spectrum sensing in software-defined radio networks, raster images in remote sensing, pattern recognition in point cloud, airflow distribution in aerodynamics, galaxy catalogs in astrophysics and protein membrane interaction in molecular dynamics. Each case required different computing power, ranging from personal computer to high performance cluster. Based on this experience across application domains, I propose a high-performance visualization paradigm for scientific visualization that supports three key features of scientific data analysis: representations, fusion, and visual discrimination. This paradigm is informed by practical work with multiple high-performance computing and visualization platforms from desktop displays to immersive CAVE displays. In order to evaluate the applicability of the proposed paradigm, I carried out two user studies. The first user study addressed the feature of data fusion with multivariate maps and the second one addressed visual differencing with three multi-view management techniques. The high-performance visualization paradigm and the results of these studies contribute to our knowledge of efficient MVMD designs and provides scientific visualization developers with a framework to mitigate the trade-offs of scalable visualization design such as the data mappings, computing power, and output modality. / Ph. D. / Visualization has proven to be an effective means for analyzing big data such as Multivariate Multidimensional (MVMD) scientific data. Scientific visualization deals with data that have natural spatial mapping such as maps, buildings interiors or even your physiological body parts, while information visualization involves abstract, non-spatial data. Visual analytics uses visualization to interactively manipulate data to gain deep inferences about scientific data or information. A variety of techniques combining statistical and visual analysis tools have been developed in the recent years, one of the most interesting techniques is Information Rich Virtual environments (IRVEs). With visual differencing, discrimination or interpretation as a vital feature addresses its functionality of showing the differences between two or more objects when comparison is needed. Visual differencing is widely needed across different research domains to help analysts identifying different objects in the data set or identifying different attributes of the same object. From a visual analytics point of view, this research is examining humans predictable bias in interpreting visual-spatial(1D, 2D, and 3D data) and spatiotemporal (datasets have space and time dimensions) information and inference making in scientific visualization. Also this research seeks to develop and evaluate new techniques to mitigate the trade-off between proximity and occlusion in the visualization scenes and enable analysts to explore high-dimensional scientific data sets. This research is seeking powerful computational techniques combined with natural human interactions and visual communication to analyze scientific data. This research proposes a high-performance visualization paradigm for scientific visualization that supports different representations of scientific data, fusion of different types of data, and visual discrimination that enables users to visually find the difference between multiple objects in the visualization scene. I examined different case studies from different domains such as land suitability in agriculture, spectrum sensing in software-defined radio networks, raster images in remote sensing, pattern recognition in point cloud, airflow distribution in aerodynamics, galaxy catalogs in astrophysics and protein membrane interaction in molecular dynamics. Each case required different computing power, ranging from personal computer to high-performance cluster. Also, different rendering venues were needed, starting with desktop displays to the immersive CAVE displays.

No / This paper argues that the technology life cycle literature is confused and incomplete. This literature is first reviewed with consideration of the related concepts of the life cycles for industries and products. By exploring the inter-relationships between these, an integrated view of the technology life cycle is produced. A new conceptualization of the technology life cycle is then proposed. This is represented as a model that incorporates three different levels for technology application, paradigm and generation. The model shows how separate paradigms emerge over time to achieve a given application. It traces the eras of ferment and incremental change and shows how technology generations evolve within these. It also depicts how the eras are separated by the emergence of a dominant design, and how paradigms are replaced at a technological discontinuity. By adopting this structure, the model can demarcate the evolution of technologies at varying levels of granularity from the specific products in which they may be manifest to the industries in which they are exploited. By taking technology as the unit of analysis the model departs from previous work, which has adopted a product-based perspective predominantly. The paper discusses the managerial and research implications associated with the technology life cycle, and indicates how these inform future research directions. As well as contributing to academic knowledge, the results of this research are of value to those who make decisions about the development, exploitation and use of technology including technology developers, engineers, technologists, R & D managers, and designers.

This paper applies Aristotle's historic modes of persuasion, namely ethos, logos, and pathos, to the motivational speeches found in 20 popular sports films. Through this analysis, major themes concerning how coaches utilized persuasive tactics were found and used to compile a list of important characteristics of motivational speeches. This initial analysis found pathos to be the most effective form of persuasion among motivational speeches in sports films. Because of this finding, a deeper analysis took place with five of the speeches, focusing specifically on how the visual, sound and other thematic elements contributed to the overall pathos of those rhetorical moments. The Narrative Paradigm and Narrative Transportation Theory were used to establish background on the effects of storytelling, specifically in sports films.

This research has the goal of understanding the creation of African failed states and to explore preventative measures for a continent that in the past has been plagued by factional warlords, ethnic violence and kleptocracy. If one can isolate the catalysts that initiate failed statehood then they can prevent or at least slow the process in hopes of a state regaining its footing in the sovereign world. Understanding failed statehood allows for suggestions on how to rebuild a nation that has fallen into disaccord. The research attempts to explain the prevailing elements in the emergence of failed statehood and to briefly suggest solutions to these problems faced specifically on the African continent. The common indicators of failed statehood listed by the Carnegie Endowment for International Peace in The Failed States Index and in the article The Failed State and International Law by Dr. Daniel Thurer will be examined against the multiple case study of the Democratic Republic of the Congo, Sierra Leone and Somalia. By choosing to focus on countries in three distinct regions of Africa, Central, Western, and the Horn of Africa, the research has a broad base to draw from to show that the indicators of failed states are universal throughout the continent. The approach used to explain failed statehood in Africa will be the Personal Rule Paradigm in Africa's Stalled Development: International Causes and Cures by Leonard and Straus as a contributing factor of failed states due to the fact it is so prevalent throughout the linear history of Africa beginning with the influence of European colonialism.

In the wake of the Pulse nightclub massacre, the effort to create a memorial devolved into a crisis and ultimate failure amidst a complex interplay of divergent claims. This study explored the evolving memorialization process for the creation of a Pulse Memorial, utilizing Fisher's narrative paradigm to analyze articles from the Orlando Sentinel published between January 1st, 2023, and January 31st, 2024. By employing Fisher's framework, which emphasizes narrative fidelity and narrative probability, this study investigated the dynamic evolution of storytelling related to the Pulse Memorial Crisis. Through thematic analysis, the study explored how stakeholders constructed and challenged the memory of the tragedy, providing insights into the underlying tensions and harmonies in the memorialization process. Additionally, the study identified and examined the dominant narratives surrounding the Pulse Memorial Crisis in the Orlando Sentinel.

The design and development of technology applications has to deal with many variables. Reference is obviously made to established hardware and software support, particularly with regard to the choice of appropriate operating systems, development model, environment and programming language. With the growth of networked and web-exposed systems, we are increasingly dealing with IoT (Internet-of-Things) systems: complex applications consisting of a network of often heterogeneous elements to be managed like an orchestra, using existing elements and creating new ones. Among the many fields affected by this phenomenon, two in particular are considered here: industry and medical, key sectors of modern society. Given the inherently parallel nature of such networks and the fact that it is commonly necessary to manage them via the Web, the most prevalent de facto model employs an architecture relying on a paradigm based on data flows, representing the entire system as a kind of assembly line in which each entity acquires input data and returns an output in a perfectly asynchronous manner. This thesis highlights some notable limitations of this approach and proposes an evolution that resolves some key issues. This has been done not only on a purely theoretical level, but with actual implementations currently operational and thus demonstrated in the field. Rather than proposing an abstract formalisation of a new solution, the basic principles of a whole new architecture are presented here instead, going into more detail on some key features and with experimental and practical feedback implemented as a full blown software platform. A first contribution is the definition of the principles of a new programming architecture, disseminated with some published articles and a speech in an international congress. A second contribution concerns a lightweight data synchronisation strategy, which is particularly useful for components that need to continue working during offline periods. A third contribution concerns a method of storing a symmetric encryption key combined with a peculiar retrieval and verification technique: this has resulted in an international patent, already registered. A fourth contribution concerns a new data classification model, which is particularly effective for processing information asynchronously. Issues related to possible integrations with artificial intelligence systems have also been addressed, for which a number of papers are being written, introduced by a presentation that has just been published.

Text in English / The question the researcher set out to answer during this research study was: "What is the Educational Focus of a Nursing College, when viewed within Bevis and Watson's Humanistic·Educative-Caring Curriculum Paradigm versus a Stimulus-Response Curriculum Paradigm?" To answer this question, an exploratory, descriptive and contextual study was undertaken. The population consisted of tutors employed at a College of Nursing. From this population a purposive sample was drawn. Data was collected by means of formal, semi-structured interviews and a questionnaire. Content analysis was used to analyse the data. It was found that during the first year of students' education and training, the Educational Focus of the College was on training but during the second year, the focus changed to the transitional phase. The transitional phase is situated between training and education. During the third and fourth year, the focus was also in transition, but the way students learn was at the training phase. / Health Studies / M.A. (Advanced Nursing Sciences)

The process control domain is intrinsically complex and dynamic. It has proved to be difficult to construct and maintain process control systems under the traditional software development methodologies. Object Orientation is the latest paradigm in software development. The reason for its widespread acceptance is that it allows the application of the principles of hierarchical structuring and component abstraction which is essential in building large systems. It also promotes component reusability which makes systems easier to maintain and modify. For the process control domain, these are important benefits. Furthermore, most process control systems have physical devices which can be modeled naturally as objects with the timing and performance issues of each object directly addressed. A Target System Reference Model which addresses various aspects of the process control domain is proposed within this dissertation. The objective is to provide a frame of reference within which a process control system can function. / Computing / M. Sc. (Computer Science)