4,448 research outputs found
Mobile heritage practices. Implications for scholarly research, user experience design, and evaluation methods using mobile apps.
Mobile heritage apps have become one of the most popular means for audience
engagement and curation of museum collections and heritage contexts. This
raises practical and ethical questions for both researchers and practitioners, such
as: what kind of audience engagement can be built using mobile apps? what are
the current approaches? how can audience engagement with these experience
be evaluated? how can those experiences be made more resilient, and in turn
sustainable? In this thesis I explore experience design scholarships together with
personal professional insights to analyse digital heritage practices with a view to
accelerating thinking about and critique of mobile apps in particular. As a result,
the chapters that follow here look at the evolution of digital heritage practices,
examining the cultural, societal, and technological contexts in which mobile
heritage apps are developed by the creative media industry, the academic
institutions, and how these forces are shaping the user experience design
methods. Drawing from studies in digital (critical) heritage, Human-Computer
Interaction (HCI), and design thinking, this thesis provides a critical analysis of
the development and use of mobile practices for the heritage. Furthermore,
through an empirical and embedded approach to research, the thesis also
presents auto-ethnographic case studies in order to show evidence that mobile
experiences conceptualised by more organic design approaches, can result in
more resilient and sustainable heritage practices. By doing so, this thesis
encourages a renewed understanding of the pivotal role of these practices in the
broader sociocultural, political and environmental changes.AHRC REAC
Mapping Critical Practice In A Transdisciplinary Urban Studio
Architecture and Planning exist to make positive changes to our environment. Future practitioners in these
disciplines will be responsible for how our cities develop and are managed - they will be required to exercise their professional judgement in complex and unpredictable contexts. There is increasing interest in transdisciplinary urbanism, but implementation in academic contexts has to date been relatively limited. This thesis aims to build on these examples, through a detailed account of one academic design studio which operates across architecture and urban planning; in doing so it aims to make the case for transdisciplinary, problem and place-based studio teaching.
The study considers how a transdisciplinary studio environment supported students to develop a critical
approach to practice through collaborative discourse. It looked at studio methods/practices; what it means to practice ‘critically’ in the context of design; and the role ‘going public’ by sharing ideas in public fora might play in developing critical positions.
The study was undertaken in collaboration with nine students, a single cohort undertaking the final year of a hybrid master’s qualification in Architecture with Urban Planning. It adopts socio-material and spatial approaches to follow how the studio environment and the students’ emerging interdisciplinary identities shaped both their individual and their shared work. It mapped how their approach to their practice evolved through observations, interviews, and informal conversations, and through their drawings, models and journals. In carrying out these observations, and their analysis, I have returned to drawing methods common in architecture. This allowed me to explore and record aspects of studio practice which might otherwise be missed and revealed the importance of visual and spatial thinking to my own practice. Observations revealed how material spaces, tools and artefacts acted to structure social relations in the studio, and how these relations shaped individual approaches to critical practice
Neuromodulatory effects on early visual signal processing
Understanding how the brain processes information and generates simple to complex behavior constitutes one of the core objectives in systems neuroscience. However, when studying different neural circuits, their dynamics and interactions researchers often assume fixed connectivity, overlooking a crucial factor - the effect of neuromodulators. Neuromodulators can modulate circuit activity depending on several aspects, such as different brain states or sensory contexts. Therefore, considering the modulatory effects of neuromodulators on the functionality of neural circuits is an indispensable step towards a more complete picture of the brain’s ability to process information. Generally, this issue affects all neural systems; hence this thesis tries to address this with an experimental and computational approach to resolve neuromodulatory effects on cell type-level in a well-define system, the mouse retina. In the first study, we established and applied a machine-learning-based classification algorithm to identify individual functional retinal ganglion cell types, which enabled detailed cell type-resolved analyses. We applied the classifier to newly acquired data of light-evoked retinal ganglion cell responses and successfully identified their functional types. Here, the cell type-resolved analysis revealed that a particular principle of efficient coding applies to all types in a similar way. In a second study, we focused on the issue of inter-experimental variability that can occur during the process of pooling datasets. As a result, further downstream analyses may be complicated by the subtle variations between the individual datasets. To tackle this, we proposed a theoretical framework based on an adversarial autoencoder with the objective to remove inter-experimental variability from the pooled dataset, while preserving the underlying biological signal of interest. In the last study of this thesis, we investigated the functional effects of the neuromodulator nitric oxide on the retinal output signal. To this end, we used our previously developed retinal ganglion cell type classifier to unravel type-specific effects and established a paired recording protocol to account for type-specific time-dependent effects. We found that certain
retinal ganglion cell types showed adaptational type-specific changes and that nitric oxide had a distinct modulation of a particular group of retinal ganglion cells.
In summary, I first present several experimental and computational methods that allow to
study functional neuromodulatory effects on the retinal output signal in a cell type-resolved manner and, second, use these tools to demonstrate their feasibility to study the neuromodulator nitric oxide
Configuration Management of Distributed Systems over Unreliable and Hostile Networks
Economic incentives of large criminal profits and the threat of legal consequences have pushed criminals to continuously improve their malware, especially command and control channels. This thesis applied concepts from successful malware command and control to explore the survivability and resilience of benign configuration management systems.
This work expands on existing stage models of malware life cycle to contribute a new model for identifying malware concepts applicable to benign configuration management. The Hidden Master architecture is a contribution to master-agent network communication. In the Hidden Master architecture, communication between master and agent is asynchronous and can operate trough intermediate nodes. This protects the master secret key, which gives full control of all computers participating in configuration management. Multiple improvements to idempotent configuration were proposed, including the definition of the minimal base resource dependency model, simplified resource revalidation and the use of imperative general purpose language for defining idempotent configuration.
Following the constructive research approach, the improvements to configuration management were designed into two prototypes. This allowed validation in laboratory testing, in two case studies and in expert interviews. In laboratory testing, the Hidden Master prototype was more resilient than leading configuration management tools in high load and low memory conditions, and against packet loss and corruption. Only the research prototype was adaptable to a network without stable topology due to the asynchronous nature of the Hidden Master architecture.
The main case study used the research prototype in a complex environment to deploy a multi-room, authenticated audiovisual system for a client of an organization deploying the configuration. The case studies indicated that imperative general purpose language can be used for idempotent configuration in real life, for defining new configurations in unexpected situations using the base resources, and abstracting those using standard language features; and that such a system seems easy to learn.
Potential business benefits were identified and evaluated using individual semistructured expert interviews. Respondents agreed that the models and the Hidden Master architecture could reduce costs and risks, improve developer productivity and allow faster time-to-market. Protection of master secret keys and the reduced need for incident response were seen as key drivers for improved security. Low-cost geographic scaling and leveraging file serving capabilities of commodity servers were seen to improve scaling and resiliency. Respondents identified jurisdictional legal limitations to encryption and requirements for cloud operator auditing as factors potentially limiting the full use of some concepts
Southern Adventist University Undergraduate Catalog 2023-2024
Southern Adventist University\u27s undergraduate catalog for the academic year 2023-2024.https://knowledge.e.southern.edu/undergrad_catalog/1123/thumbnail.jp
Exploring the impact of food composition and eating context on food choice, energy intake and body mass index
Research suggests that traditional behaviour-based weight loss approaches requiring individuals to change their dietary habits or physical activity results in only modest weight loss which often isn’t maintained. Given the need to improve population health, the broader food environment (e.g., food price or composition) and the more immediate eating context have been identified as possible intervention targets.For product reformulation to be a successful public health strategy, consumers are required to be ‘insensitive’ to changes to the reformulated product. This raises a more general question regarding whether humans are sensitive to food composition and whether this influences food choice and energy intake. The studies presented in Part A suggest that people are sensitive to both the energy content and macronutrient composition of food. Specifically, the results presented in chapters two to four indicate a non-linear pattern in meal caloric intake in response to meal energy density (kcal/g), and this pattern was captured in a theoretical two-component model of meal size (g, chapter five). The remaining two chapters in Part A (chapters six and seven) explore human sensitivity to food macronutrient composition. Chapter six describes the development of a new paradigm and task to assess protein discrimination by humans. Chapter seven focuses on the remaining two macronutrients, fat and carbohydrate, and demonstrates that, alongside being more liked, foods containing a combination of fat and carbohydrate are selected in larger portions than foods high in either fat or carbohydrate.The effect of eating contexts (e.g., social or distracted eating) on acute energy intake is well-researched, but their chronic impact on energy balance is unclear. The results of chapter nine (Part B) indicated that more frequently watching TV was associated with a higher body mass index (BMI) in young adults. More generally, the work identified eating contexts as potential targets for public health messaging which could effect changes in BMI on a population level. Together, the work presented in this thesis highlights new complexity in human dietary behaviour which presents both challenges and opportunities for successful food reformulation as a public health strategy, and it also demonstrates that the context in which we eat our meals could be leveraged to improve population-level health
Cortical depth profiles in primary visual cortex for illusory and imaginary experiences
Visual illusions and mental imagery are non-physical sensory experiences that involve cortical feedback processing in the primary visual cortex. Using laminar functional magnetic resonance imaging (fMRI) in two studies, we investigate if information about these internal experiences is visible in the activation patterns of different layers of primary visual cortex (V1). We find that imagery content is decodable mainly from deep layers of V1, whereas seemingly ‘real’ illusory content is decodable mainly from superficial layers. Furthermore, illusory content shares information with perceptual content, whilst imagery content does not generalise to illusory or perceptual information. Together, our results suggest that illusions and imagery, which differ immensely in their subjective experiences, also involve partially distinct early visual microcircuits. However, overlapping microcircuit recruitment might emerge based on the nuanced nature of subjective conscious experience
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