8 resultados para Profils spatio-temporel

em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland


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Dedikaatio: Fredrika Wilhelmina Stjernvall född Charpentier [ruots.].

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Stable isotope fractionation analysis of contaminants is a promising method for assessing biodegradation of contaminants in natural systems. However, standard procedures to determine stable isotope fractionation factors, so far, neglect the influence of pollutant bioavailability on stable isotope fractionation. On a microscale, bioavailability may vary due to the spatio-temporal variability of local contaminant concentrations, limited effective diffusivities of the contaminants and cell densities, and thus, the pollutant supply might not meet the intrinsic degradation capacity of the microorganisms. The aim of this study was to demonstrate the effect of bioavailability on the apparent stable isotope fractionation, using a multiphase laboratory setup. The data gained show that the apparent isotope fractionation factors observed during biodegradation processes depend on the amount of biomass and/or the rate of toluene mass transfer from a second to the aqueous phase. They indicate that physico-chemical processes need to be taken into account when stable isotope fractionation analysis is used for the quantification of environmental contaminant degradation.

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Chondrogenesis is a co-ordinated differentiation process in which mesenchymal cells condensate, differentiate into chondrocytes and begin to secrete molecules that form the extracellular matrix. It is regulated in a spatio-temporal manner by cellular interactions and growth and differentiation factors that modulate cellular signalling pathways and transcription of specific genes. Moreover, post-transcriptional regulation by microRNAs (miRNAs) has appeared to play a central role in diverse biological processes, but their role in skeletal development is not fully understood. Mesenchymal stromal cells (MSCs) are multipotent cells present in a variety of adult tissues, including bone marrow and adipose tissue. They can be isolated, expanded and, under defined conditions, induced to differentiate into multiple cell lineages including chondrocytes, osteoblasts and adipocytes in vitro and in vivo. Owing to their intrinsic capability to self-renew and differentiate into functional cell types, MSCs provide a promising source for cell-based therapeutic strategies for various degenerative diseases, such as osteoarthritis (OA). Due to the potential therapeutic applications, it is of importance to better understand the MSC biology and the regulatory mechanisms of their differentiation. In this study, an in vitro assay for chondrogenic differentiation of mouse MSCs (mMSCs) was developed for the screening of various factors for their chondrogenic potential. Conditions were optimized for pellet cultures by inducing mMSC with different bone morphogenetic proteins (BMPs) that were selected based on their known chondrogenic relevance. Characterization of the surface epitope profile, differentiation capacity and molecular signature of mMSCs illustrated the importance of cell population composition and the interaction between different populations in the cell fate determination and differentiation of MSCs. Regulation of Wnt signalling activity by Wnt antagonist sFRP-1 was elucidated as a potential modulator of lineage commitment. Delta-like 1 (dlk1), a factor regulating adipogenesis and osteogenesis, was shown to exhibit stage-specific expression during embryonic chondrogenesis and identified as a novel regulator of chondrogenesis, possibly through mediating the effect of TGF-beta1. Moreover, miRNA profiling demonstrated that MSCs differentiating into a certain lineage exhibit a specific miRNA expression profile. The complex regulatory network between miRNAs and transcription factors is suggested to play a crucial role in fine-tuning the differentiation of MSCs. These results demonstrate that commitment of mesenchymal stromal cells and further differentiation into specific lineages is regulated by interactions between MSCs, various growth and transcription factors, and miRNA-mediated translational repression of lineage-specific genes.

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Ceramides comprise a class of sphingolipids that exist only in small amounts in cellular membranes, but which have been associated with important roles in cellular signaling processes. The influences that ceramides have on the physical properties of bilayer membranes reach from altered thermodynamical behavior to significant impacts on the molecular order and lateral distribution of membrane lipids. Along with the idea that the membrane physical state could influence the physiological state of a cell, the membrane properties of ceramides have gained increasing interest. Therefore, membrane phenomena related to ceramides have become a subject of intense study both in cellular as well as in artificial membranes. Artificial bilayers, the so called model membranes, are substantially simpler in terms of contents and spatio-temporal variation than actual cellular membranes, and can be used to give detailed information about the properties of individual lipid species in different environments. This thesis focuses on investigating how the different parts of the ceramide molecule, i.e., the N-linked acyl chain, the long-chain sphingoid base and the membrane-water interface region, govern the interactions and lateral distribution of these lipids in bilayer membranes. With the emphasis on ceramide/sphingomyelin(SM)-interactions, the relevance of the size of the SMhead group for the interaction was also studied. Ceramides with methylbranched N-linked acyl chains, varying length sphingoid bases, or methylated 2N (amide-nitrogen) and 3O (C3-hydroxyl) at the interface region, as well as SMs with decreased head group size, were synthesized and their bilayer properties studied by calorimetric and fluorescence spectroscopic techniques. In brief, the results showed that the packing of the ceramide acyl chains was more sensitive to methyl-branching in the mid part than in the distal end of the N-linked chain, and that disrupting the interfacial structure at the amide-nitrogen, as opposed to the C3-hydroxyl, had greater effect on the interlipid interactions of ceramides. Interestingly, it appeared that the bilayer properties of ceramides could be more sensitive to small alterations in the length of the long-chain base than what was previously reported for the N-linked acyl chain. Furthermore, the data indicated that the SM-head group does not strongly influence the interactions between SMs and ceramides. The results in this thesis illustrate the pivotal role of some essential parts of the ceramide molecules in determining their bilayer properties. The thesis provides increased understanding of the molecular aspects of ceramides that possibly affect their functions in biological membranes, and could relate to distinct effects on cell physiology.

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In this thesis, the suitability of different trackers for finger tracking in high-speed videos was studied. Tracked finger trajectories from the videos were post-processed and analysed using various filtering and smoothing methods. Position derivatives of the trajectories, speed and acceleration were extracted for the purposes of hand motion analysis. Overall, two methods, Kernelized Correlation Filters and Spatio-Temporal Context Learning tracking, performed better than the others in the tests. Both achieved high accuracy for the selected high-speed videos and also allowed real-time processing, being able to process over 500 frames per second. In addition, the results showed that different filtering methods can be applied to produce more appropriate velocity and acceleration curves calculated from the tracking data. Local Regression filtering and Unscented Kalman Smoother gave the best results in the tests. Furthermore, the results show that tracking and filtering methods are suitable for high-speed hand-tracking and trajectory-data post-processing.

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Successful management of rivers requires an understanding of the fluvial processes that govern them. This, in turn cannot be achieved without a means of quantifying their geomorphology and hydrology and the spatio-temporal interactions between them, that is, their hydromorphology. For a long time, it has been laborious and time-consuming to measure river topography, especially in the submerged part of the channel. The measurement of the flow field has been challenging as well, and hence, such measurements have long been sparse in natural environments. Technological advancements in the field of remote sensing in the recent years have opened up new possibilities for capturing synoptic information on river environments. This thesis presents new developments in fluvial remote sensing of both topography and water flow. A set of close-range remote sensing methods is employed to eventually construct a high-resolution unified empirical hydromorphological model, that is, river channel and floodplain topography and three-dimensional areal flow field. Empirical as well as hydraulic theory-based optical remote sensing methods are tested and evaluated using normal colour aerial photographs and sonar calibration and reference measurements on a rocky-bed sub-Arctic river. The empirical optical bathymetry model is developed further by the introduction of a deep-water radiance parameter estimation algorithm that extends the field of application of the model to shallow streams. The effect of this parameter on the model is also assessed in a study of a sandy-bed sub-Arctic river using close-range high-resolution aerial photography, presenting one of the first examples of fluvial bathymetry modelling from unmanned aerial vehicles (UAV). Further close-range remote sensing methods are added to complete the topography integrating the river bed with the floodplain to create a seamless high-resolution topography. Boat- cart- and backpack-based mobile laser scanning (MLS) are used to measure the topography of the dry part of the channel at a high resolution and accuracy. Multitemporal MLS is evaluated along with UAV-based photogrammetry against terrestrial laser scanning reference data and merged with UAV-based bathymetry to create a two-year series of seamless digital terrain models. These allow the evaluation of the methodology for conducting high-resolution change analysis of the entire channel. The remote sensing based model of hydromorphology is completed by a new methodology for mapping the flow field in 3D. An acoustic Doppler current profiler (ADCP) is deployed on a remote-controlled boat with a survey-grade global navigation satellite system (GNSS) receiver, allowing the positioning of the areally sampled 3D flow vectors in 3D space as a point cloud and its interpolation into a 3D matrix allows a quantitative volumetric flow analysis. Multitemporal areal 3D flow field data show the evolution of the flow field during a snow-melt flood event. The combination of the underwater and dry topography with the flow field yields a compete model of river hydromorphology at the reach scale.

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Global climate change and intentional climate modification, i.e. geoengineering include various ethical problems which are entangled as a complex ensemble of questions regarding the future of the biosphere. The possibilities of catastrophic effects of climate change which are also called “climate emergency” have led to the emergence of the idea of modifying the atmospheric conditions in the form of geoengineering. The novel issue of weather ethics is a subdivision of climate ethics, and it is interested in ethical and political questions surrounding weather and climate control and modification in a restricted spatio-temporal scale. The objective of geoengineering is to counterbalance the adverse effects of climate change and its diverse corollaries in various ways on a large scale. The claim of this dissertation is that there are ethical justifications to claim that currently large-scale interventions to the climate system are ethically questionable. The justification to pursue geoengineering on the basis of considering its pros and cons, is inadequate. Moral judgement can still be elaborated in cases where decisions have to be made urgently and the selection of desirable choices is severely limited. The changes needed to avoid severe negative impacts of climate change requires commitment to mitigation as well as social changes because technical solutions cannot address the issue of climate change altogether. The quantitative emphasis of consumerism should shift to qualitative focus on the aspiration for simplicity in order to a move towards the objective of the continuation of the existence of humankind and a flourishing, vital biosphere.

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The underwater light field is an important environmental variable as it, among other things, enables aquatic primary production. Although the portion of solar radiation that is referred to as visible light penetrates water, it is restricted to a limited surface water layer because of efficient absorption and scattering processes. Based on the varying content of optical constituents in the water, the efficiency of light attenuation changes in many dimensions and over various spatial and temporal scales. This thesis discusses the underwater light dynamics of a transitional coastal archipelago in south-western Finland, in the Baltic Sea. While the area has long been known to have a highly variable underwater light field, quantified knowledge on the phenomenon has been scarce, patchy, or non-existent. This thesis focuses on the variability in the underwater light field through euphotic depths (1% irradiance remaining), which were derived from in situ measurements of vertical profiles of photosynthetically active radiation (PAR). Spot samples were conducted in the archipelago of south-western Finland, mainly during the ice-free growing seasons of 2010 and 2011. In addition to quantifying both the seasonal and geographical patterns of euphotic depth development, the need and usability of underwater light information are also discussed. Light availability was found to fluctuate in multiple dimensions and scales. The euphotic depth was shown to have combined spatio-temporal dynamics rather than separate changes in spatial and temporal dimensions. Such complexity in the underwater light field creates challenges in data collection, as well as in its utilisation. Although local information is needed, in highly variable conditions spot sampled information may only poorly represent its surroundings. Moreover, either temporally or spatially limited sampling may cause biases in understanding underwater light dynamics. Consequently, the application of light availability data, for example in ecological modelling, should be made with great caution.