Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 21 for “"Mechanistic modelling"”.
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Mechanistic modelling of single-floor office environments
… logical development, and the performance of a mechanistic modelling approach which is intended for use in system planning. In the investigation, the deployment of a single base station in a single-floor office environment is considered. The environment is systematically divided into several …
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Data-based Mechanistic Modelling (DBM) of Nonlinear Environmental Systems.
… on the application and development of data-based mechanistic (DBM) transfer function models for nonlinear environmental systems. The data-based mechanistic modelling approach exploits the available time series data, in statistical terms, to expose the model structure, generating dynamic stochastic …
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Combining mechanistic modelling with data-driven modelling in mathematical oncology
Mathematical modelling in cancer research has been developing and has contributed valuable insights. By helping to understand the mechanisms of biological processes and predict clinical outcomes, mathematical models can complement empirical cancer research. In chapter 2, we studied the dynamics by …
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Mechanistic modelling of bioavailability: putting soil microbiology in its pore scale context
… through the development of a theoretical modelling framework that acted as a virtual laboratory. A suite of metrics was implemented within the modelling framework to allow the quantification of the physical soil structure. The analysis of a range of CT imaged soil structures via the …
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Integration of Data Quality, Kinetics and Mechanistic Modelling into Toxicological Assessment of Cosmetic Ingredients
… on the determination of data quality, improving modelling performance and supporting Adverse Outcome Pathways (AOPs) with definitions of structural alerts and physico-chemical properties. Furthermore, there was a clear focus on the transparency of models, i.e. approaches using algorithmic feature …
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High-Resolution Experimental Measurements and Mechanistic Modelling of Saturated Cryogenic Pool Boiling Heat Transfer
… thesis proposes a fully closed formulation of a mechanistic boiling model adapted to saturated cryogenic pool boiling. The model leverages exhaustive measurements of boiling parameters. A new pool boiling setup was designed for that purpose, using pressurized nitrogen as a proxy for cryogenic …
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Observations and mechanistic modelling of the role of Aedes mosquitoes in dengue transmission in Singapore
… patterns of dengue transmission is explored; and mechanistic models are developed to simulate the seasonality of dengue occurrence in the city. The role of monsoons in shaping the seasonal pattern of dengue is investigated. Singapore has no pronounced dry season, while dengue cases decrease every …
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Understanding the limits of struvite based phosphorus recovery through mechanistic modelling and data-driven performance evaluations
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01
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Mechanistic modelling of the links between environment, mosquitoes and malaria transmission in the current and future climates of West Africa
… framework of highly detailed, spatially explicit mechanistic modelling to explore the relationships between the environment and malaria in the current and future climate of West Africa. A mechanistic model of human immunity was incorporated into an existing agent-based model of malaria …
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Computational and experimental investigation of G protein-coupled receptor signalling mechanisms
… the exploration of cellular processes at higher mechanistic resolutions. Modelling these data enables the quantification of these cellular responses, improving the comparability and interpretability of data. Mechanistic modelling, in particular, enables the generation of precise and testable …
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Integrating dynamic and statistical modelling approaches in order to improve predictions for scenarios of environmental change
… has often been suggested to link statistical and mechanistic modelling approaches in order to make more realistic predictions of species’ distributions for scenarios of environmental change. In this thesis, I present two different ways of such linkage. (i) Mechanistic modelling can act as virtual …
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Part I. Computational, theoretical and synthetic studies of the indole arynes and their reactions. Part II. Computational, theoretical, and mechanistic studies of n-vinyltrialkylammonium, n-vinylpyridinium, and n-vinyldiazonium tetrafluoroborate salts.
… we embarked on a computational study, using mechanistic modelling of thermodynamic properties and relative acidities to guide our synthetic efforts. With the unique insights granted by this methodology, we have revised a new potential universal indole aryne generating platform. The intriguing …
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How do human-induced environmental stressors shape the distribution, physiology, and behaviour of the Lemur leaf frog?
… combinations of physiological and distributional modelling and a behavioural trial. The study uses a novel approach into understanding how future risk posed by climate change could impact Lemur leaf frogs. By using field spatial data combined with physiological mechanistic modelling, the study is …
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Time series analysis and machine learning studies of biophotovoltaic systems
… conceptual models to translate into mathematical mechanistic models. Here, Long Short-Term Memory (LSTM) networks were explored for their ability to replicate complex time-evolving phenomena without a priori knowledge. Results. Seasonal and trend decomposition using locally estimated scatterplot …
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Keeping it cool: mammal responses to microclimatic variation in disturbed Indonesian lowland forest.
… thesis combines field data and observations with mechanistic models of microclimate and biophysical models of animal bioenergetics to determine the impacts of forest edges and microclimate variation on mammals at a site of disturbed forest in the Sikundur region of Sumatra, Indonesia. First, I …
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The effect of Alzheimer's disease on cortical microcircuits
… treatments for Alzheimer’s disease. An improved mechanistic understanding of the human disease will facilitate new treatments. Human pathophysiological biomarkers sensitive to treatment and disease mechanisms will help accelerate such new treatments. To this end, biophysically-informed dynamic …
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Developing a novel mechanistic model for four-phase oil-water-gas-sand stratified flow in a horizontal pipe.
… this research aimed to develop and verify a mechanistic model for the stratified four-phase (gas-oil-water-sand) flow in a horizontal pipe. This model takes into account some aspects of the existing multi-layer liquid-liquid and liquid-solid models. The entire stratified flow structure …
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Bayesian Approaches for the Mechanistic Analysis of Protein Aggregation Kinetics
… this work, I have demonstrated how mathematical modelling based on chemical kinetics can be used to overcome current challenges in deducing the microscopic mechanism of amyloid formation, in particular in the context of how external perturbations may affect this process. Furthermore, I extended …
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Probabilistic models to resolve cell identity and tissue architecture
… ATAC providing the necessary evidence to build mechanistic models of regulation. Existing methods address one or several subproblems of modelling DNA accessibility. For example, the DNA sequence-based deep learning models represent combinatorial interactions and in-vivo TF-DNA recognition …
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Predicting radioactive waste glass properties with machine learning and modelling
… property data using machine learning or apply mechanistic modelling on a large scale both to evaluate the impact of glass within the wider geological disposal setting and understand glass precipitate formation. Machine learning was first applied to predict static leaching, specifically boron …
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