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Rauch, Philipp. "Neuronal Growth Cone Dynamics." Doctoral thesis, Universitätsbibliothek Leipzig, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-119885.
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Sensory-motile cells fulfill various biological functions ranging from immune activity or wound healing to the formation of the highly complex nervous systems of vertebrates. In the case of neurons, a dynamic structure at the tip of outgrowing processes navigates towards target cells or areas during the generation of neural networks. These fan shaped growth cones are equipped with a highly complex molecular machinery able to detect various external stimuli and to translate them into directed motion. Receptor and adhesion molecules trigger signaling cascades that regulate the dynamics of an internal polymeric scaffold, the cytoskeleton. It plays a crucial role in morphology maintenance as well as in the generation and distribution of growth cone forces. The two major components, actin and microtubules (MTs) connect on multiple levels through interwoven biochemical and mechanical interactions. Actin monomers assemble into semiflexible filaments (F-actin) which in turn are either arranged in entangled networks in the flat outer region of the growth cone (lamellipodium) or in radial bundles termed filopodia. The dynamic network of actin filaments extends through polymerization at the front edge of the lamellipodium and is simultaneously moving towards the center (C-domain) of the growth cone. This retrograde flow (RF) of the actin network is driven by the polymerizing filaments themselves pushing against the cell membrane and the contractile activity of motor proteins (myosins), mainly in the more central transition zone (T-zone). Through transmembrane adhesion molecules, a fraction of the retrograde flow forces is mechanically transmitted to the cellular substrate in a clutch-like mechanism generating traction and moving the GC forward. MTs are tubular polymeric structures assembled from two types of tubulin protein subunits. They are densely bundled in the neurite and at the growth cone “neck” (where the neurite opens out into the growth cone) they splay apart entering the C-domain and more peripheral regions (P-domain). Their advancement is driven by polymerization and dynein motor protein activity. The two subsystems, an extending array of MTs and the centripetal moving actin network are antagonistic players regulating GC morphology and motility. Numerous experimental findings suggest that MTs pushing from the rear interact with actin structures and contribute to GC advancement. Nevertheless, the amount of force generated or transmitted through these rigid structures has not been investigated yet. In the present dissertation, the deformation of MTs under the influence of intracellular load is analyzed with fluorescence microscopy techniques to estimate these forces. RF mechanically couples to MTs in the GC periphery through friction and molecular cross-linkers. This leads to MT buckling which in turn allows the calculation of the underlying force. It turns out that forces of at least act on individual MT filaments in the GC periphery. Compared to the relatively low overall protrusion force of neuronal GCs, this is a substantial contribution. Interestingly, two populations of MTs buckle under different loads suggesting different buckling conditions. These could be ascribed to either the length-dependent flexural rigidity of MTs or local variations in the mechanical properties of the lamellipodial actin network. Furthermore, the relation between MT deformation levels and GC morphology and advancement was investigated. A clear trend evolves that links higher MT deformation in certain areas to their advancement. Interactions between RF and MTs also influence flow velocity and MT deformation. It is shown that transient RF bursts are related to higher MT deformation in the same region. An internal molecular clutch mechanism is proposed that links MT deformation to GC advancement.
When focusing on GC dynamics it is often neglected that the retraction of neurites and the controlled collapse of GCs are as important for proper neural network formation as oriented outgrowth. Since erroneous connections can cause equally severe malfunctions as missing ones, the pruning of aberrant processes or the transient stalling of outgrowth at pivotal locations are common events in neuronal growth. To date, mainly short term pausing with minor cytoskeletal rearrangements or the full detachment and retraction of neurite segments were described. It is likely that these two variants do not cover the full range of possible events during neuronal pathfinding and that pausing on intermediate time scales is an appropriate means to avoid the misdetection of faint or ambiguous external signals. In the NG108-15 neuroblastoma cells investigated here, a novel type of collapse was observed. It is characterized by the degradation of actin network structures in the periphery while radial filopodia and the C-domain persist. Actin bundles in filopodia are segmented at one or multiple breaking points and subsequently fold onto the edge of the C-domain where they form an actin-rich barrier blocking MT extension. Due to this characteristic, this type of collapse was termed fold collapse. Possible molecular players responsible for this remarkable process are discussed. Throughout fold collapse, GC C-domain area and position remain stable and only the turnover of peripheral actin structures is abolished. At the same time, MT driven neurite elongation is hindered, causing the GC to stall on a time scale of several to tens of minutes. In many cases, new lamellipodial structures emerge after some time, indicating the transient nature of this collapse variant. From the detailed description of the cytoskeletal dynamics during collapse a working model including substrate contacts and contractile actin-myosin activity is derived. Within this model, the known and newly found types of GC collapse and retraction can be reduced to variations in local adhesion and motor protein activity.
Altogether the results of this work indicate a more prominent role of forward directed MT-based forces in neuronal growth than previously assumed. Their regulation and distribution during outgrowth has significant impact on neurite orientation and advancement. The deformation of MT filaments is closely related to retrograde actin flow which in turn is a regulator of edge protrusion. For the stalling of GCs it is not only required that actin dynamics are decoupled from the environment but also that MT pushing is suppressed. In the case of fold collapse, this is achieved through a robust barrier assembled from filopodial actin bundles.
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Robinson, Anthony James Judd R. L. "Bubble growth dynamics in boiling /." *McMaster only, 2003.
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Fleck, Denise L. "The dynamics of corporate growth /." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=37891.
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The thesis aims at contributing to clarify broad conjectures on growth, such as, (i) the extent to which growth constitutes an imperative for the firm, and (ii) what leads some firms to enjoy continuing growth and a continued existence, while others, after experiencing continuing growth, end up contracting and decaying. As a result, the thesis seeks to develop a deeper understanding of the mechanisms fostering and precluding growth, while also identifying challenges and opportunities in managing growth.The thesis comprises four interrelated essays: (i) Chandler on the growth of the firm---this essay scrutinizes The Visible Hand (Chandler, 1977) seeking to answer the question "What is Chandler's theory on how and why did the modern business enterprise (MBE) appear and grow?" Four processes are identified---MBE formation, MBE development, industry formation, industry development. Their analysis within a process-oriented view (Mohr, 1982) discloses chains of necessary conditions in growth-related processes. Moreover, two growth-related dilemmas are advanced and the firm-industry co-evolution is explored. (ii) Identifying the building blocks of growth dynamics---this essay addresses the question "Which are the basic processes of change that form the dynamics of growth?" Drawing on Mario Bunge's philosophy (1973--1989; 1979), a framework of qualitatively different modes of change is derived. The framework allows the identification of elementary units of the growth dynamics. These comprise the following types: quantitative, qualitative (dialectical), goal-directed, interactional, causal, structural, random. In addition, complex units of growth dynamics made up of combinations of elementary units are also advanced: evolutionary motor of firm growth, co-evolutionary motor of growth relating firm and industry, and different instances of continuing growth motors. (iii) Describing growth trajectories of firms---the question "How can growth trajectories be represented?" is addressed in this essay. An indicator of size, which automatically adjusts for inflationary and deflationary changes in currency value is proposed. This indicator enables the drawing of growth trajectories of firms in the economy over long periods of time. (iv) Growth trajectories of General Electric and Westinghouse: a comparative study---this essay addresses the question "Why do some firms experience continuing growth and continued existence while others decay and disappear?" The growth trajectories of
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Luse, Christopher. "Dynamics of epitaxial growth and recovery." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/27651.
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Yin, Xiaopeng 1963. "Endogenous growth, international trade and dynamics." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=37914.
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This PhD. dissertation consists of three essays to fill some gaps in the recent research in international trade and endogenous growth theory. The first essay explores the dynamic effect of interaction of research and development (R&D) activities among countries on endogenous economic growth. It attempts to fill the gap between the current endogenous growth research focused on independent R&D activities and decision-making in the international competition and the interdependent R&D competition in reality. This paper finds that the growth rates, welfare, and investment on R&D in the world do differ between independent R&D activity and interdependent R&D activities among countries. The welfare for each country in the open-loop Nash equilibrium is higher than that of the Markov-perfect Nash equilibrium, and both are lower than that in the cooperative game. The model shows that the ability to commit turns out to make every country better off. The interesting results are that when an increase in the number of countries does increase the growth rate in the open-loop Nash equilibrium, it is very possible to have the negative effect on the growth rate in the Markov-perfect equilibrium. Particularly, the model shows that the tendency of free-ride rises with more countries in the competition. The more general models with durable physical capital, and with the endogenous rate of time preference following Uzawa-Epstein tradition, also prove these conclusions.The second essay turns to the Samuelson-Diamond overlapping generation paradigm, a finite-horizon overlapping generations model with education proposed by Michel (1993). The focus is shifted to the effect of trade on growth. It turns out that when trade affects the formation of human capital, endogenous growth is possible even in the simplest economy with a single sector and constant returns to scale technologies, which is opposite from Boldrin's (1992) and Jones and Manuelli's (1992) results.
While the existing theory of trade under oligopolistic competition is mostly static in nature, the third essay fills this gap by modeling international trade under oligopoly in a dynamic setting. This essay adopts the dynamics in the model provided by allowing the demand curve to shift over time as a result of "habit formation". It shows that when the importing country is committing to a policy of voluntary import expansions (VIEs), in the certain condition (i.e. k > 1), VIEs can improve the global welfare, the welfare of the importing country, and the profit of both firms. So, in a sense, voluntary import expansion is truly voluntary.
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Mitra, Aditee. "Zooplankton growth dynamics : a modelling study." Thesis, Open University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434264.
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Alava, Mónica Hernández. "Growth dynamics : an empirical investigation of output growth using international data." Thesis, University of Leicester, 2002. http://hdl.handle.net/2381/30140.
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The rates of growth of output per head vary across countries. Despite the fact that these differences are of a small order of magnitude, they would translate into large differences in the average living standards of the countries if they were to persist over the years. It is therefore very important to understand the process of long run growth and as a consequence many recent studies concentrate on the issue of cross country convergence. The aim of this thesis is to investigate the process of growth across countries and the possibility of inter-relationships of these processes across countries. To this avail, an empirical analysis of per capita output across countries out first using the exact continuous time version of two neoclassical growth models, the Solow growth model and The Ramsey-Cass-Koopmans model. Results show that when these models are estimated consistently countries do not seem to be converging in the sense typically used in the literature. The rest of the thesis aims to investigate in more detail the processes by which growth in different countries might be related. Based on extensions of another neoclassical model, the Overlapping Generations model, and using a nonlinear switching regime model for estimation, two empirical analyses are carried out. The first one examines the role of balance of payments constraints in cross country growth determination. The second studies the extent of technology spillovers across countries and their effect on the process of growth. On one hand, results reveal little evidence of current account deficits constraining growth in the long run in the G7 countries although there is ample evidence of an influence in the short run dynamics of growth. On the other hand, spillovers of technology across the G7 countries are found to be of importance in the process of growth.
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Rätsch, Christian. "Effects of strain on heteroepitaxial growth dynamics." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/30647.
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Fridh, Ann-Charlotte. "Dynamics and growth : the health care industry." Doctoral thesis, KTH, Industrial Economics and Management, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3445.
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This dissertation uses the theory of the experimentallyorganised economy (EOE) and competence blocs to analyseeconomic development in the health care industry. The healthcare industry is both important and interesting to study fromseveral points of view. The industry is large, even larger thanthe manufacturing industry, and draws significantresources.
The theory of the EOE and competence blocs is bothevolutionary and dynamic. It identifies the actors needed foran efficient selection and commercialisation of investmentprojects and the competences needed to support that process.For this, the institutional setting is important in thatinstitutions influence the incentives that guide actors in theeconomy and the nature of competitionthat forces change.
Four empirical studies are carried out using severalempirical methods to study similar problems, ranging fromeconometric analyses of panel micro data to case studies. Weask if the withdrawal of a major employer (Pharmacia) from aregion (Uppsala) has had a negative effect on employmentgrowth. We then ask if the turnover of establishments has hadany effect on regional employment growth. We find no supportfor the first question. However, the regional turnover ofestablishments is found to have had a positive effect onregional employment growth, illustrating how important thisdynamic is for the economy. In addition, a case study of theintroduction of two almost identical innovations in twodifferent competence bloc environments, that of the US and thatof Sweden, captures the whole process from invention toinnovation and diffusion in the market. We find that without acomplete competence bloc the risk is high ofloosing awinner. Finally, we study the role of the technologytransfer process from university to industry for thecommercialisation of new inventions. Among other things, thestudy illustrates how institutional changes, such as theBayh-Dole Act, have created positive effects for theeconomy.
The Experimentally Organised Economy; Competence Blocs;Industrial Dynamics; Health Care Industry; IndustrialTransformation; Regional Turnover of Establishments; CaseStudies; Technology Transfer
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Fu, Kai. "Growth Dynamics of Semiconductor Nanostructures by MOCVD." Doctoral thesis, KTH, Teoretisk kemi (stängd 20110512), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11447.
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Semiconductors and related low-dimensional nanostructures are extremely important in the modern world. They have been extensively studied and applied in industry/military areas such as ultraviolet optoelectronics, light emitting diodes, quantum-dot photodetectors and lasers. The knowledge of growth dynamics of semiconductor nanostructures by metalorganic chemical vapour deposition (MOCVD) is very important then. MOCVD, which is widely applied in industry, is a kind of chemical vapour deposition method of epitaxial growth for compound semiconductors. In this method, one or several of the precursors are metalorganics which contain the required elements for the deposit materials. Theoretical studies of growth mechanism by MOCVD from a realistic reactor dimension down to atomic dimensions can give fundamental guidelines to the experiment, optimize the growth conditions and improve the quality of the semiconductor-nanostructure-based devices. Two main types of study methods are applied in the present thesis in order to understand the growth dynamics of semiconductor nanostructures at the atomic level: (1) Kinetic Monte Carlo method which was adopted to simulate film growths such as diamond, Si, GaAs and InP using the chemical vapor deposition method; (2) Computational fluid dynamics method to study the distribution of species and temperature in the reactor dimension. The strain energy is introduced by short-range valence-force-field method in order to study the growth process of the hetero epitaxy. The Monte Carlo studies show that the GaN film grows on GaN substrate in a two-dimensional step mode because there is no strain over the surface during homoepitaxial growth. However, the growth of self-assembled GaSb quantum dots (QDs) on GaAs substrate follows strain-induced Stranski-Krastanov mode. The formation of GaSb nanostructures such as nanostrips and nanorings could be determined by the geometries of the initial seeds on the surface. Furthermore, the growth rate and aspect ratio of the GaSb QD are largely determined by the strain field distribution on the growth surface.QC 20100713
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Tornieri, Karine. "Signaling Mechanisms Regulating Neuronal Growth Cone Dynamics." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/biology_diss/48.
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During the development of the nervous system, neurons migrate to their final location and extend neurites that navigate long distances in the extracellular environment to reach their synaptic targets. The proper functioning of the nervous system depends on correct connectivity, and mistakes in the wiring of the nervous system lead to brain abnormalities and mental illness. Growth cones are motile structures located at the tip of extending neurites that sense and respond to guidance cues encountered along the path toward their targets. Binding of these cues to receptors located on growth cone filopodia and lamellipodia triggers intracellular signaling pathways that regulate growth cone cytoskeletal dynamics. Although studies on extracellular cues and their effects on neuronal guidance are well documented, less is known about the intracellular signaling mechanisms that regulate growth cone motility. This dissertation focuses on two signaling pathways and describes how they might be involved in determining growth cone morphology during neuronal development. The specific aims of this work address: (1) the role of phosphatidylinositol-3-kinase (PI-3K) and its downstream signaling pathway in regulating growth cone motility, and (2) the effect of nitric oxide (NO) release from a single cell on growth cone morphology of neighboring neurons. This study employs defined neurons from the pond snail, Helisoma trivolvis, to demonstrate that inhibition of PI-3K induces a concomitant increase in filopodial length and a decrease in the rate at which neurites advance. These effects are mediated through the lipid and protein kinase activities of PI-3K, and filopodial elongation is due to an increase in the rate at which filopodia elongate and the time that individual filopodia spend extending. Additionally, this study demonstrates that NO release from a single cell can affect growth cone dynamics on neighboring neurons via soluble guanylyl cyclase (sGC), and that NO has a physiological effect up to a distance of 100 ìm. Overall this study provides new information on cellular mechanisms regulating growth cone motility, and suggests a potential role of PI-3K and NO in neuronal pathfinding in vivo.
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Franco, Miguel. "The architecture and dynamics of tree growth." Thesis, Bangor University, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.412902.
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Hamer, Alison. "Dynamics of fungal growth in stored grain." Thesis, Cranfield University, 1993. http://dspace.lib.cranfield.ac.uk/handle/1826/11025.
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Large and small-scale respirometry apparatus were developed and optimised to measure the respiration of 25 g and 10 kg seed samples stored under a range of environmental conditions, from 0.80 to 0.95 water activity (~) and 15 to 35°C in all combinations. Respiration of wheat and barley grains was greater, than that of rapeseed and linseed. Oxygen consumption was linear with time for naturally contaminated wheat grain over the range 0.90-0.95 aw/15- 25°C and 0.80-0.95 ~/30-35°C, in sterile wheat grain at 0.90 ~125°C, and in barley and rapeseed at 0.90 ~120°C but was non-linear in wheat grain at 0.80-0.85 ~/15-25°C, linseed at 0.88 ~120°C and in autoclaved, reinoculated wheat grain. Respiration of naturally contaminated wheat grain was determined over the whole range of environmental conditions. Oxygen consumption increased with water activity and temperature. Respiration was comparable whether measured from 25 g or 10 kg samples, allowing the data to be suitable for mathematical modelling. Respiratory quotients (RQ) were generally < 1.0 and closest to 1.0 at 0.95 aw120-35°C but at 15°C they exceeded 1.0 and were closest to 1.0 at 0.80 aw • Respirometry was more sensitive than direct weighing for determining dry matter loss (DML) because fungal biomass was not measured. DML values associated with visible moulding, as calculated by oxygen consumption by wheat and barley, were smaller than those considered acceptable for safe storage. During 7 days storage at 0.85 ~125°C and 0.90 aw/15°C, conditions usually regarded as safe for short term storage, visible moulding and germination loss occurred with, respectively, as little as 0.130% and 0.085% DML. A dose of 10 kGy gamma-radiation destroyed all fungal contamination from wheat grain without affecting percentage germination, although seed vigour and respiration were decreased. Using a new dry spore inoculation method, it was shown that Eurotium amstelodami caused more DML in autoclaved than Penicillium aurantiogriseum over 28 days at 0.85-0.90 ~120°C.
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De, Souza Carlos José Hoff. "Dynamics of follicle growth in the sheep." Thesis, University of Edinburgh, 1997. http://hdl.handle.net/1842/21192.
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Using ewes with an ovarian autotransplant, the diameter of individual follicles and corpora lutea was measured by ultrasound scanning, to characterise the pattern of development of antral follicles over 2.5 mm, in relation to gonadotrophin and ovarian hormone concentrations in jugular and ovarian venous blood. Studies were conducted to investigate the effects of season, age and the action of a major gene involved in increased prolificacy in sheep (FecB) on the dynamics of follicular growth and its hormonal regulation. The results showed that the final stages of maturation of dominant follicles in sheep during the oestrous cycle and anoestrus occurs in a succession of waves of follicular growth. During the luteal phase 3 waves emerge on day 2, 7 and 11 post-LH surge. During the follicular phase, most of the follicles that ovulate after the LH surge originate from follicles above 5 mm in diameter at the time of luteal regression, but additional smaller follicles can be recruited during the follicular phase. During the follicular and early luteal phase, when LH pulse frequency is elevated, follicles achieved dominance by secreting large amounts of oestradiol and inhibin A, depressing FSH concentrations below threshold levels. During the second and third wave of follicular development of the luteal phase a similar pattern of FSH secretion was evident but the relationship between the secretion of oestradiol and inhibin A was less clear. Despite these endocrine differences, the mechanism of follicular selection operated in each of these waves as the number of dominant follicles was similar to the ovulation rate. Similar investigations in ewes carrying the Booroola FecB gene, showed that gene carrier ewes produce more follicles that mature earlier at smaller size, without any differences in the concentration of FSH and the ovarian secretion of oestradiol, androstenedione and inhibin A compared to non-carrier animals. This suggests that the Booroola gene acts at an ovarian level modulating the gonadotrophin signal to increase the number of follicles selected. In order to study the effect of age in pituitary-ovarian function, the dynamics of follicular diameter were studied in old ewes (12-13 years) with ovarian autotransplants and the results of gonadotrophin and ovarian hormone concentrations compared to those obtained from the same animals 6 years previously.
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Spalding, Kathryn. "Growth and integrability in multi-valued dynamics." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33483.
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This thesis is focused on the problem of growth and integrability in multi-valued dynamics generated by $SL_2 (\mathbb{Z})$ actions. An important example is given by Markov dynamics on the cubic surface $$x^2+ y^2 +z^2 = 3xyz,$$ generating all the integer solutions of this celebrated Diophantine equation, known as Markov triples. To study the growth problem of Markov numbers we use the binary tree representation. This allows us to define the Lyapunov exponents $\Lambda (x)$ as the function of the paths on this tree, labelled by $x \in \mathbb{R}P^1$. We prove that $\Lambda (x)$ is a $PGL_2 (\mathbb{Z})$-invariant function, which is zero almost everywhere but takes all values in $\left[ 0, \ln \varphi \right]$ (where $\varphi$ denotes the golden ratio). We also show that this function is monotonic, and that its restriction to the Markov-Hurwitz set of most irrational numbers is convex in the Farey parametrisation. We also study the growth problem for integer binary quadratic forms using Conway's topograph representation. It is proven that the corresponding Lyapunov exponent $\Lambda_Q(x) = 2 \Lambda(x)$ except for the paths along the Conway river. Finally, we study the tropical version of the Markov dynamics on the tropical version of the Cayley cubic proposed by Adler and Veselov, and show that it is semi-conjugated to the standard action of $SL_2(\mathbb{Z})$ on a torus. This implies the dynamics is ergodic, with the Lyapunov exponent and entropy given by the logarithm of the spectral radius of the corresponding matrix.
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Roy, Shukolpa Dutta. "Muscle precursor dynamics during growth and repair." Thesis, King's College London (University of London), 2014. https://kclpure.kcl.ac.uk/portal/en/theses/muscle-precursor-dynamics-during-growth-and-repair(0a23f6b9-1b3e-438e-817e-d79e4f052399).html.
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To date, knowledge of stem cell behavior during growth and muscle regeneration is limited by an inability to follow the repair process over time in vivo. Zebrafish larvae are amenable to in vivo imaging and possess muscle precursor cells (putative muscle stem cells). However, it has not been demonstrated whether the precursor cells marked by Pax7-expression are involved in post-hatched larval muscle growth and repair as in amniotes. With this aim in mind, the dynamics of Pax7+ precursors was quantitated. Myogenin+ precursor cells were also quantified as a marker of differentiation and along with Pax7+ precursors were found to peak preceding myotomal recovery in myodfh261 and wild type wounded fish, providing strong evidence for a role of Pax7+ and Myogenin+ muscle precursors in zebrafish growth and repair. Moreover, the spatiotemporal dynamics of precursors showed distinct proliferation, differentiation and migration behavior based on location in the somite. Roles of the niche at each somitic location are proposed based on the differences observed during growth and repair in the larval zebrafish.
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Wiklund, Karin. "Establishment, Growth and Population Dynamics in two Mosses of Old-growth Forests." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4446.
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Succaw, Gary Lee. "Dynamics of crystal growth of self-assembling systems /." view abstract or download file of text, 2004. http://wwwlib.umi.com/cr/uoregon/fullcit?p3136448.
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Thesis (Ph. D.)--University of Oregon, 2004.Typescript. Includes vita and abstract. Includes bibliographical references (leaves 209-215). Also available for download via the World Wide Web; free to University of Oregon users.
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Bales, Gary Steven. "Growth dynamics of amorphous and crystalline thin films." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/29523.
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Smith, Rashida. "Growth and dynamics of polyelectrolyte multilayer thin films." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=85649.
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Polyelectrolyte multilayer thin films adsorbed onto colloidal particles have been studied by solid-state nuclear magnetic resonance (NMR) spectroscopy in order to characterize the dynamic properties of the film components. In addition, the growth of the multilayer films was observed directly for the first time and quantification of the amount of polyelectrolyte adsorbed during each step was achieved. NMR relaxation measurements demonstrate that the polyions are more mobile when incorporated into a multilayer film than when in the bulk complex. The polycation, poly(diallyl dimethyl ammonium chloride) (PDADMAC) was found to exhibit greater mobility than the polyanion, poly(styrene-4-sulfonate) (PSS), becoming increasingly less mobile as layers were added to the multilayer assembly. Solid-state deuterium NMR further demonstrates the limited mobility of the PSS chain when incorporated into a multilayer film. No significant motion is observed on the kHz timescale under ambient conditions for PSS in a strong-strong polyelectrolyte film. However, a small mobile fraction, the result of loops and tails or chain ends is present when the multilayer films are exposed to humidity and salt solutions.The behavior of the adsorbed water within this multilayer system was found to be dependent on the nature of the terminating layer. The changes in water mobility represent changes in the environment throughout the entire film, while the observed changes in the polymer dynamics are associated only with the surface layer. Additionally the water is found to be more closely associated with the polyanion, associating with the polycation only when it is the terminating layer. The behavior of the water for films comprised of a weak-strong polyelectrolyte combination are similar to that of the strong-strong multilayer system, when films are assembled with the polyions having high charge density. An increase in polyelectrolyte mobility is observed when the polyanion is the terminating layer in the poly(allylamine hydrochloride) (PAH)/poly(styrene-4-sulfonate) system, the reverse of what is observed in the strong-strong system. These differences are due to the differences in intrinsic mobility between the polyions within the multilayer film.
Finally multilayer films of PAH/PSS were prepared on alumina membranes and both the flux and selectivity could be controlled over a wide range, simply by varying the pH of the layer assembly and pH of the filtrate solution. Membranes assembled at pH 3 and pH 9 have water flux values which are dependent on the solution pH, while membranes assembled at pH 7 have constant flux regardless of filtrate solution pH. The selectivity for PAH/PSS modified membranes for dye molecules in pH 7 solutions was found to be the greatest and was the result of a combination of electrostatic and hydrophobic interactions of the polyelectrolyte chains at this pH value.
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Aloku, Gabriel Olayinka. "Dynamics of Foam Growth in Polymeric Fluids Flow." Thesis, University of Manchester, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.532207.
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Buettner, Thomas. "The dynamics of firm profitability, growth, and exit." Thesis, London School of Economics and Political Science (University of London), 2004. http://etheses.lse.ac.uk/1812/.
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This thesis analyses the dynamics of firm profitability, growth, and exit across different industries. Chapter 1 documents a striking empirical regularity in the joint distribution of firm profitability and firm size which varies systematically across industries: In industries with a high intensity of R&D investments, there is a strong, systematic "negative tail" of small loss-making firms in the profits-size distribution, whereas this "negative tail" is much less pronounced in industries with low R&D intensity. The chapter also proposes a simple reduced form dynamic model which explains the main empirical features by combining two key mechanisms: a real option effect at the business level and a diversification effect at the firm level. The second part of the thesis takes a structural approach. Its focus is on estimating the dynamic evolution of firm productivity which is an unobserved state variable in an underlying structural model. In this model, firms make exit decisions and investment decisions in physical capital and in R&D. Chapter 2 extends the model in Olley & Pakes (1996) to include R&D decisions that stochastically affect future productivity realisations and proves that their invertibility approach still applies. It estimates the distribution of future productivity conditional on current productivity and R&D investments, which is the key stochastic primitive in theoretical models of firm dynamics. Chapter 3 introduces knowledge capital as a second unobserved state variable into the model and extends the invertibility idea and the estimation strategy to the case of two unobserved state variables. Knowledge allows for lagged effects of R&D on productivity while simultaneously accounting for the stochastic nature of R&D. This reconciles the knowledge capital view in the tradition of Griliches (e.g. 1998) with the stochastic approach in the recent literature on firm dynamics.
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Williams, Adrian Lloyd. "Growth dynamics in the developing lateral geniculate nucleus." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313613.
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Balakrishnan, Ravi. "Unemployment and growth dynamics : theory and OECD evidence." Thesis, London School of Economics and Political Science (University of London), 1999. http://etheses.lse.ac.uk/2489/.
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We study unemployment and growth dynamics. A search theoretic approach, augmented by exogenous and endogenous growth considerations, is used. We apply a variety of macro-econometric tools, across OECD countries, namely: structural vector autoregression (SVAR) analysis; simulations; frequency domain analysis and panel data regression analysis, to test out a variety of hypotheses drawn from the theoretical literature. First, we look at unemployment dynamics, using a search model and an SVAR methodology, and discover that the European Community and the US have faced similar shocks, mainly aggregate ones, but have reacted very differently. The exception is Spain, where most of the unemployment dynamics have been driven by reallocation. Overall, this implies that EEC economies might be 'dynamically sclerotic' when compared to the US, though simulations do not confirm this result. Next, we re-examine the link between growth and unemployment. Using: frequency domain analysis, panel data regression analysis and looking at cross correlations, we find that the interactions are weak, with at best a marginally significant negative effect of growth on unemployment. This is consistent with theories that predict capitalization effects dominate creative destruction, in the effect of growth on unemployment. It is not consistent with theories that imply a strong effect of unemployment on growth, through: loss of skills; learning by doing; cleansing effects and savings effects. Even when the capitalization effect is significant, it is not very large. A 1% increase in steady state growth would only reduce equilibrium unemployment by 1%. Finally, we look at the links between growth, R&D and job flows, as an alternative way to isolate creative destruction effects. We find that creative destruction mechanisms are only important for US, i.e. for a country on the technological frontier.
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Ferreira, Armando dos Santos Ribeiro. "Relative price dynamics, factor shares and endogenous growth." Master's thesis, Instituto Superior de Economia e Gestão, 2007. http://hdl.handle.net/10400.5/18916.
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Masters EconomicsWe present a two sector general-equilibrium model of endogenous growth for a small open economy. We show that the model lias saddle-path stability in- dependently of the factor intensities, however the details of the transitional dynamics will diífer. The dimension of the stable manifold is always one but the slope of the stable manifold changes depending on the factor shares. If the factor shares are such that each sector uses more intensively its own capital, then after a shock the economy will adjust through prices variations. When the factor shares intensities are reversed, the adjustment is made through quantities variations. Moreover we find that a productivity shock on the traded sector has always a positive effect on the relative price. Government demand shocks have no long run effect on the relative price and its effect ou the GDP is not clear.
Modelizamos uma pequena economia aberta cora dois sectores e crescimento endógeno. Mostramos que o modelo apresenta estabilidade tipo sela inde- pendentemente das intensidades factoriais, no entanto as propriedades da dinâmica de transição vão diferir. A dimensão das trajectórias convergentes é sempre um mas a inclinação muda dependendo das proporções dos fac- tores. No caso de cada sector usar mais intensivamente o seu próprio capital, após um choque, a economia vai estabilizar por variações nos preços e no caso contrário a estabilização é feita por variações nas quantidades. Alem disso, mostramos que um choque de produtividade no sector transaccionável tem sempre um efeito positivo no preço relativo. Choques governamentais de procura não têm efeito de longo prazo no preço relativo e o seu efeito no produto não é claxo.
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Avila, Olga B. "Modeling growth dynamics of juvenile loblolly pine plantations." Diss., Virginia Tech, 1993. http://hdl.handle.net/10919/39476.
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Modeling growth dynamics of juvenile loblolly pine plantations can help to address important management decisions that have to be made in young stands. The present study addressed diameter and height prediction as well as crown development analysis as functions of independent variables such as site index, relative spacing and age for trees younger than ten years old. It was found that height prediction for trees one and two years old was a function of the products of the variables site index and age (or square root of age) and relative spacing and age (or square root of age). For trees three years old and older these were also the independent variables used to explain height prediction but in this case age (or square root of age) was another significant independent variable. In regard to diameter prediction it was observed that groundline diameter was a function of age for trees one and two years old; while this variable was also a function of site index and relative spacing for trees three, four and five years old. For trees older than five years old diameter at breast height was a function of age, site index and relative spacing. The analysis of crown development showed that for trees five years old and older variables like diameter at breast height, total height, age, site index and relative spacing were significant when crown ratio was the dependent variable. For trees younger than five years old, groundline diameter and the other same independent variables (i.e. total height, age, index and relative spacing) were again found significant when crown ratio was the dependent variable.Ph. D.
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Avila, Olga. "Modeling growth dynamics of juvenile loblolly pine plantations /." This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-10022007-144523/.
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Dagtepe, Pinar. "Quantized growth of semiconductor nanoparticles, investigation of aggregation dynamics and the growth kinetics." Diss., Kansas State University, 2010. http://hdl.handle.net/2097/4321.
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Doctor of PhilosophyDepartment of Chemistry
Viktor Chikan
Colloidal semiconductor nanoparticles will be important and practical next generation materials that can be cheaply manufactured. The objective of this project is to gain more inside into chemistry is used to control the formation and assembly of semiconductor nanoparticles (NPs). As a model system CdSe and CdTe nanoparticles are used in this work. The growth kinetics, aggregation dynamics, and heterogeneous growth of NPs by using novel tools such as; in-situ monitored fluorescence and absorption techniques, time-resolved and static fluorescence spectroscopy, TEM (transmission electron microscopy), and numerical simulations are studied. This study can be divided into the following four parts. The first part presents experimental observation of the quantized growth of CdTe quantum dots (QD). The high-temperature absorption spectra indicate the evolution of multiple peaks corresponding to various sizes of QDs. The observed aggregation is driven by dipole-dipole interaction of NPs. The second part is an investigation of the aggregation dynamics of magic-sized CdTe quantum dots and how this process can be controlled. It is shown that the growth kinetics of the QDs is very sensitive to the Cd/Te ratio. Cd-rich conditions form very different aggregation pattern due to the lack of formation of magic-sized nanoparticles. Simulations also suggest that the formation mechanism is mainly coalescence of the particles rather than the ‘neck formation’ within the CdTe aggregates. The next part investigates the growth of NPs in the presence of two distinctly sized NPs in the bimodal growth regime via numerical simulations. The bimodal distribution (or quantized Ostwald ripening) technique is found to be a slower process than the repeated injection technique to focus the size distribution of NPs. Slower growth will reduce inhomogeneity in a scaled-up production of NPs. The last part focuses on the effect of addition of doping on vii heterogeneous growth and the growth kinetics. The low temperature synthesis lacks the heterogeneous growth regime. However, as the temperature is increased to 120 0C, two different sizes emerge. Addition of In dopants seems to accelerate the growth kinetics and the magic sized NPs in the solution possess a negative anisotropy that is most likely due to supperlatice formation of magic-sized NPs.
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Besomi, Daniele. "The making of Harrod's dynamics." Thesis, Loughborough University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337878.
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Halvarsson, Daniel. "Firm Dynamics : The Size and Growth Distribution of Firms." Doctoral thesis, KTH, Samhällsekonomi (Stängd 20130101), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118333.
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This thesis is about firm dynamics, and relates to the size and growth-rate distribution of firms. As such, it consists of an introductory and four separate chapters. The first chapter concerns the size distribution of firms, the two subsequent chapters deal more specically with high-growth firms (HGFs), and the last chapter covers a related topic in distributional estimation theory. The first three chapters are empirically oriented, whereas the fourth chapter develops a statistical concept.QC 20130215
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Parker, Reginald. "Kinetics and evolution of primary structures in step-growth polymerization." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/10996.
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Noor, Mohideen Fakir Mohideen. "Ascertaining the Growth of a Company A System Dynamics Approach." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2088.
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Business is often about creating change for other businesses. At times, these changes affect only the company and at other times they affect the entire industry. There is a time in the life of a business when its fundamental way of functioning is questioned and is subjected to change. That change can mean an opportunity to rise to new heights, or it might even signal the beginning of the end. This fundamental change in any business is known as an inflection point. Understanding the nature of its inflection point and responding to that point suitably will help to safeguard a company's growth. So today's managers, when faced with such changes, have to be equipped with the adequate tools to guide the company out of troubles and to place it in a position where it can prosper. The fundamental changes can be scrutinized by studying the internal dynamic behavior of the system. Therefore, the managers are required to be systems thinkers so that they can study the internal dynamic behavior of the company and maneuver the inflection point successfully. System dynamics is an effective tool, which helps the managers to understand the structure and internal dynamic behaviors of a large and complex system. System dynamics models are developed to assist the management to navigate its way through the inflection point. This thesis focuses on how system dynamics model-analysis and model based policy development process can help a company to overcome an inflection point. Further enhancements and calibrations can be done to the model to provide industry specific solutions.M.S.
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering and Management Systems
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Tanaka, Toshiyuki. "Control of growth dynamics of feed-forward neural network." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/13445.
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Golchin, Solmaz Ariana. "Investigating single cell growth dynamics of mycrobacteria with microfluidics." Thesis, University of Surrey, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538031.
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Sagoo, Elizabeth. "Nutrient dynamics and growth at a coppice biofuel site." Thesis, University of Leeds, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417739.
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Gil, Pedro Rui Mazeda. "Essays on Industry Dynamics and on Endogenous Economic Growth." Doctoral thesis, Faculdade de Economia da Universidade do Porto, 2009. http://hdl.handle.net/10216/45037.
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Duchemin, Quentin. "Growth dynamics of large networks using hidden Markov chains." Thesis, Université Gustave Eiffel, 2022. https://tel.archives-ouvertes.fr/tel-03749513.
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La première partie de cette thèse vise à introduire de nouveaux modèles de graphes aléatoires rendant compte de l'évolution temporelle des réseaux. Plus précisément, nous nous concentrons sur des modèles de croissance où à chaque instant un nouveau noeud s'ajoute au graphe existant. Nous attribuons à ce nouvel entrant des propriétés qui caractérisent son pouvoir de connectivité au reste du réseau et celles-ci dépendent uniquement du noeud précédemment introduit. Nos modèles de graphes aléatoires sont donc régis par une dynamique markovienne latente caractérisant la séquence de noeuds du graphe. Nous nous intéresserons particulièrement au Stochastic Block Model et aux Graphes Aléatoires Géométriques pour lesquels nous proposons des algorithmes permettant d'estimer les paramètres du modèle. Nous montrons ensuite comment ce travail d'estimation nous permet de résoudre des problèmes de prédiction de lien ou de filtrage collaboratif dans les graphes.L'étude théorique des algorithmes précédemment décrits mobilisent des résultats probabilistes poussés. Nous avons notamment dû recourir à une inégalité de concentration pour les U-statistiques dans un cadre dépendant. Peu nombreux sont les travaux ayant abordé cette épineuse question et l'existant considère des jeux d'hypothèses ne répondant pas à nos besoins. Aussi, la deuxième partie de ce manuscrit sera consacrée à la preuve d'une inégalité de concentration pour les U-statistiques d'ordre deux pour des chaînes de Markov uniformément ergodique. Dans le Chapitre 5, nous exploitons notre résultat de concentration pour les U-statistiques pour apporter de nouvelles contributions à trois domaines très actifs des Statistiques et du Machine Learning.Toujours motivés par des problèmes de prédictions liens dans les graphes, nous nous intéressons dans un dernier chapitre aux procédures d'inférence post-sélection dans le cadre de la régression logistique avec pénalité $L^1$. Nous prouvons un théorème central limite sous la distribution conditionnelle à l'événement de sélection et nous en déduisons des procédures de test et des intervalles de confiance asymptotiquement validesThe first part of this thesis aims at introducing new models of random graphs that account for the temporal evolution of networks. More precisely, we focus on growth models where at each instant a new node is added to the existing graph. We attribute to this new entrant properties that characterize its connectivity to the rest of the network and these properties depend only on the previously introduced node. Our random graph models are thus governed by a latent Markovian dynamic characterizing the sequence of nodes in the graph. We are particularly interested in the Stochastic Block Model and in Random Geometric Graphs for which we propose algorithms to estimate the unknown parameters or functions defining the model. We then show how these estimates allow us to solve link prediction or collaborative filtering problems in networks.The theoretical analysis of the above-mentioned algorithms requires advanced probabilistic tools. In particular, one of our proof is relying on a concentration inequality for U-statistics in a dependent framework. Few papers have addressed this thorny question and existing works consider sets of assumptions that do not meet our needs. Therefore, the second part of this manuscript will be devoted to the proof of a concentration inequality for U-statistics of order two for uniformly ergodic Markov chains. In Chapter 5, we exploit this concentration result for U-statistics to make new contributions to three very active areas of Statistics and Machine Learning.Still motivated by link prediction problems in graphs, we study post-selection inference procedures in the framework of logistic regression with $L^1$ penalty. We prove a central limit theorem under the distribution conditional on the selection event and derive asymptotically valid testing procedures and confidence intervals
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Fung, Ping Hsuan. "Three essays on exporting, firm dynamics, and productivity growth /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2002. http://uclibs.org/PID/11984.
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Vekstein, Daniel. "Dynamics of organizational growth in the international automobile industry." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186248.
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The phenomenon of organizational growth has traditionally been assumed to be indeterminate largely due to chance or accidents found in organizational worlds. This research takes up the causal processes underlying the growth (and decline) of virtually all world-class manufacturers in the international automobile industry from 1946 to 1989. Two models are developed as alternative explanations for the long-term trends observed in growth rates and their differences across firms. The models are estimated with a nonlinear method and tested through various empirical implications. The model that seems most consistent with the data shows unambiguously that they were not generated by a random or chance process but by underlying processes of collective learning, innovation, and outnovation in technologies and organizational routines. Firms that had generated different rates in these processes differed as hypothesized in their long-term growth performance. The dynamics of collective learning processes, as measured by the parameters of the model, largely explain the dynamics of organizational growth in the world automobile industry, hence, the dynamics of interorganizational competition. The results from tests of ecological hypotheses suggest that organizational ecology might benefit from the application of matrices of collective learning rates generated from interorganizational learning curves, particularly where ecology seeks to explain patterns of competition by organizational size. As shown, this research strategy is general and gauges directly interactions among organizations over long periods. It is also flexible in dealing with various levels of analysis in longitudinal and cross-sectional dimensions. As also shown, the collective learning theory, its model, and the ecology of interorganizational learning curves derived from them can help in evaluating empirically the competitive potential of firms by indicators of innovation and outnovation relative to other firms, patterns of competition (gauged by relative learning rates) among firms, and any changes of those patterns over time. Thus, the research strategy used here provides potentially useful causal analyses as well as meaningful measures on which different organizations can be compared, with each other and with themselves. These measures may also provide important benchmarks and diagnostics for strategic management.
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Gil, Pedro Rui Mazeda. "Essays on Industry Dynamics and on Endogenous Economic Growth." Tese, Faculdade de Economia da Universidade do Porto, 2009. http://hdl.handle.net/10216/45037.
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Hoogesteger, Jan. "Tree ring dynamics in mountain birch /." Uppsala : Sveriges lantbruksuniversitet, Institutionen för växtproduktionsekologi, 2006. http://epsilon.slu.se/10286401.pdf.
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TSURUOKA, SYUJI. "DYNAMICS AND FEEDBACK CONTROL OF CRYSTAL SIZE DISTRIBUTION IN A CONTINUOUS CRYSTALLIZER." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183847.
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A simulation algorithm for crystal size distribution dynamics in a continuous crystallizer was developed using the method of lines. Dimensionless crystal sizes, in vector form, were used as state variables. Simulation results using this algorithm satisfied stability criteria for continuous crystallizers, which had been developed previously using different methods. The use of a state space representation of the algorithm permits the use of well-known theoretical and numerical approaches to the modeling of an experimental R-z crystallizer and for design of a proportional controller for a continuous crystallizer system. Boundary conditions defined by the nucleation/growth rate kinetics were separately written as an auxiliary function so that other kinetics can be substituted without any change of the main algorithm. This implies that the algorithm is applicable for any growth-type particulate system. CSD dynamics from an experimental crystallizer were satisfactorily modelled using this algorithm with reasonable parameters: e.g. the recycle ratios of the fines dissolver and the product classifier, crystal sizes at the upper cut size of the dissolver and at the lower cut size of the classifier, initial CSD, and the form of the upset. Algorithms for controller design using pole placement and optimization techniques were applied to develop a proportional matrix controller for an R-z crystallizer. It was evident that pole placement is a better method than optimization to design a controller for this crystallizer system. The system poles are concentrated at a point and it is necessary to assign the controller poles further apart to obtain appropriate control. To summarize controller design using the pole placement method, a schematic flow diagram of a system controller using the minimum order Luenberger observer was illustrated. In this example, only a few population densities need to be measured to drive the controller.
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Gjorgjieva, Julijana. "Turing Pattern Dynamics for Spatiotemporal Models with Growth and Curvature." Scholarship @ Claremont, 2006. https://scholarship.claremont.edu/hmc_theses/181.
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Turing theory plays an important role in real biological pattern formation problems, such as solid tumor growth and animal coat patterns. To understand how patterns form and develop over time due to growth, we consider spatiotemporal patterns, in particular Turing patterns, for reaction diffusion systems on growing surfaces with curvature. Of particular interest is isotropic growth of the sphere, where growth of the domain occurs in the same proportion in all directions. Applying a modified linear stability analysis and a separation of timescales argument, we derive the necessary and sufficient conditions for a diffusion driven instability of the steady state and for the emergence of spatial patterns. Finally, we explore these results using numerical simulations.
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Parker, Reginald. "Towards a comprehensive kinetic model for step-growth polymerization." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/10995.
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Henrique, de Santana Luís. "Growth models incorporating technology and a new population dynamics equation." Universidade Federal de Pernambuco, 2006. https://repositorio.ufpe.br/handle/123456789/5770.
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Henrique de Santana, Luís; Menezes Campello de Souza, Fernando. Growth models incorporating technology and a new population dynamics equation. 2006. Dissertação (Mestrado). Programa de Pós-Graduação em Engenharia de Produção, Universidade Federal de Pernambuco, Recife, 2006.
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Giese, Martin 1970. "Managing hyper-growth : a system dynamics analysis of competitive dynamics in business-to-consumer electronic commerce." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9287.
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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 2000.Includes bibliographical references (p. 51-53).
Many Internet companies have decided to follow a 'get big fast' strategy: they invest heavily in marketing to build their user base and market share. At ]east for now, the capital markets seem to encourage this strategy: the stock price of the leading competitor in a category (say, Amazon in online book selling) typically trades at a significant premium to the stocks of other category competitors, as a multiple of revenues or users. Is this behavior rational? The paper addresses this question with the help of a System Dynamics model that reflects two particular online retail markets (books and pet supplies). The Dot Com Model captures the characteristics of the main competitors -- their basic economics (how they make money), operating and financial strategies -- and the behavioral decision rules for consumers, managers, and investors in the enterprise. The purpose of this model is to evaluate the different growth strategies seen in Internet businesses, explore their sustainability under different competitive scenarios, and to test the 'rationale' that capital markets are using to value these companies. The Dot Com Model is used to identify a typology of winning strategies and failure modes and the range of scenarios and conditions under which each of those strategies applies. Finally, the paper explores the reference modes for the eventual reduction of the 'speculative excess' in dot.com stocks and the return to more traditional valuation heuristics (multiples of net income, discounted cash flow analysis).
by Martin Giese.
S.M.
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Witkiewitz, Katie. "Predicting alcohol relapse using nonlinear dynamics and growth mixture modeling /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/9047.
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Neukirchen, Dorothee. "CLIPs regulate neuronal polarization through microtubule and growth cone dynamics." Diss., lmu, 2010. http://nbn-resolving.de/urn:nbn:de:bvb:19-126639.
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Stolzenburg, Ulrich [Verfasser]. "Essays on Economic Growth and Business Cycle Dynamics / Ulrich Stolzenburg." Kiel : Universitätsbibliothek Kiel, 2015. http://d-nb.info/1068504005/34.
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Mikhailitchenko, Serguei, and na. "The Australian Housing Market: Price Dynamics and Capital Stock Growth." Griffith University. Department of Accounting, Finance and Economics, 2008. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20100729.074134.
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This study was motivated by the desire to contribute to the understanding of the movement of house prices and the role of the so-called economic fundamentals in the housing market, especially within an Australian context. The core objective of this thesis is to aid understanding of the economic and other mechanisms by which the Australian housing market operates. We do this by constructing an analytical framework, or model, that encompasses the most important characteristics of the housing market. This thesis examines two important aspects of the Australian housing market: movements of house prices and changes in the net capital stock of dwellings in Australia. Movements of house prices are modelled from two perspectives: firstly, using the fundamental approach, which explains the phenomena by changes in such fundamental explanatory variables as income, interest rates, population and prices of building materials, and secondly, by analysing spatial interdependence of house prices in Australian capital cities. Changes in stock of dwellings were also modelled on the basis of a fundamental approach by states and for Australia as a whole...