Simulation of stromatolite growth using diffusion-limited aggregation and a discrete model of biogeochemical exchanges in microbial mat

Resume : Mieux comprendre les stromatolithes et les tapis microbiens est un sujet important en biogéosciences puisque cela aide à l'étude des premières formes de vie sur Terre, a mieux cerner l'écologie des communautés microbiennes et la contribution des microorganismes a la biominéralisation, et même à poser certains fondements dans les recherches en exobiologie. D'autre part, la modélisation est un outil puissant utilisé dans les sciences naturelles pour appréhender différents phénomènes de façon théorique. Les modèles sont généralement construits sur un système d'équations différentielles et les résultats sont obtenus en résolvant ce système. Les logiciels disponibles pour implémenter les modèles incluent les logiciels mathématiques et les logiciels généraux de simulation. L'objectif principal de cette thèse est de développer des modèles et des logiciels pour aider a comprendre, via la simulation, le fonctionnement des stromatolithes et des tapis microbiens. Ces logiciels ont été développés en C++ en ne partant d'aucun pré-requis de façon a privilégier performance et flexibilité maximales. Cette démarche permet de construire des modèles bien plus spécifiques et plus appropriés aux phénomènes a modéliser. Premièrement, nous avons étudié la croissance et la morphologie des stromatolithes. Nous avons construit un modèle tridimensionnel fondé sur l'agrégation par diffusion limitée. Le modèle a été implémenté en deux applications C++: un moteur de simulation capable d'exécuter un batch de simulations et de produire des fichiers de résultats, et un outil de visualisation qui permet d'analyser les résultats en trois dimensions. Après avoir vérifié que ce modèle peut en effet reproduire la croissance et la morphologie de plusieurs types de stromatolithes, nous avons introduit un processus de sédimentation comme facteur externe. Ceci nous a mené a des résultats intéressants, et permis de soutenir l'hypothèse que la morphologie des stromatolithes pourrait être le résultat de facteurs externes autant que de facteurs internes. Ceci est important car la classification des stromatolithes est généralement fondée sur leur morphologie, imposant que la forme d'un stromatolithe est dépendante de facteurs internes uniquement (c'est-à-dire les tapis microbiens). Les résultats avancés dans ce mémoire contredisent donc ces assertions communément admises. Ensuite, nous avons décidé de mener des recherches plus en profondeur sur les aspects fonctionnels des tapis microbiens. Nous avons construit un modèle bidimensionnel de réaction-diffusion fondé sur la simulation discrète. Ce modèle a été implémenté dans une application C++ qui permet de paramétrer et exécuter des simulations. Nous avons ensuite pu comparer les résultats de simulation avec des données du monde réel et vérifier que le modèle peut en effet imiter le comportement de certains tapis microbiens. Ainsi, nous avons pu émettre et vérifier des hypothèses sur le fonctionnement de certains tapis microbiens pour nous aider à mieux en comprendre certains aspects, comme la dynamique des éléments, en particulier le soufre et l'oxygène. En conclusion, ce travail a abouti à l'écriture de logiciels dédiés à la simulation de tapis microbiens d'un point de vue tant morphologique que fonctionnel, suivant deux approches différentes, l'une holistique, l'autre plus analytique. Ces logiciels sont gratuits et diffusés sous licence GPL (General Public License). Abstract : Better understanding of stromatolites and microbial mats is an important topic in biogeosciences as it helps studying the early forms of life on Earth, provides clues re- garding the ecology of microbial ecosystems and their contribution to biomineralization, and gives basis to a new science, exobiology. On the other hand, modelling is a powerful tool used in natural sciences for the theoretical approach of various phenomena. Models are usually built on a system of differential equations and results are obtained by solving that system. Available software to implement models includes mathematical solvers and general simulation software. The main objective of this thesis is to develop models and software able to help to understand the functioning of stromatolites and microbial mats. Software was developed in C++ from scratch for maximum performance and flexibility. This allows to build models much more specific to a phenomenon rather than general software. First, we studied stromatolite growth and morphology. We built a three-dimensional model based on diffusion-limited aggregation. The model was implemented in two C++ applications: a simulator engine, which can run a batch of simulations and produce result files, and a Visualization tool, which allows results to be analysed in three dimensions. After verifying that our model can indeed reproduce the growth and morphology of several types of stromatolites, we introduced a sedimentation process as an external factor. This lead to interesting results, and allowed to emit the hypothesis that stromatolite morphology may be the result of external factors as much as internal factors. This is important as stromatolite classification is usually based on their morphology, imposing that a stromatolite shape is dependant on internal factors only (i.e. the microbial mat). This statement is contradicted by our findings, Second, we decided to investigate deeper the functioning of microbial mats, We built a two-dimensional reaction-diffusion model based on discrete simulation, The model was implemented in a C++ application that allows setting and running simulations. We could then compare simulation results with real world data and verify that our model can indeed mimic the behaviour of some microbial mats. Thus, we have proposed and verified hypotheses regarding microbial mats functioning in order to help to better understand them, e.g. the cycle of some elements such as oxygen or sulfur. ln conclusion, this PhD provides a simulation software, dealing with two different approaches. This software is free and available under a GPL licence.

Contributions of the peroxisome and β-oxidation cycle to biotin synthesis in fungi.

The first step in the synthesis of the bicyclic rings of D-biotin is mediated by 8-amino-7-oxononanoate (AON) synthase, which catalyzes the decarboxylative condensation of l-alanine and pimelate thioester. We found that the Aspergillus nidulans AON synthase, encoded by the bioF gene, is a peroxisomal enzyme with a type 1 peroxisomal targeting sequence (PTS1). Localization of AON to the peroxisome was essential for biotin synthesis because expression of a cytosolic AON variant or deletion of pexE, encoding the PTS1 receptor, rendered A. nidulans a biotin auxotroph. AON synthases with PTS1 are found throughout the fungal kingdom, in ascomycetes, basidiomycetes, and members of basal fungal lineages but not in representatives of the Saccharomyces species complex, including Saccharomyces cerevisiae. A. nidulans mutants defective in the peroxisomal acyl-CoA oxidase AoxA or the multifunctional protein FoxA showed a strong decrease in colonial growth rate in biotin-deficient medium, whereas partial growth recovery occurred with pimelic acid supplementation. These results indicate that pimeloyl-CoA is the in vivo substrate of AON synthase and that it is generated in the peroxisome via the β-oxidation cycle in A. nidulans and probably in a broad range of fungi. However, the β-oxidation cycle is not essential for biotin synthesis in S. cerevisiae or Escherichia coli. These results suggest that alternative pathways for synthesis of the pimelate intermediate exist in bacteria and eukaryotes and that Saccharomyces species use a pathway different from that used by the majority of fungi.

Translation of polarity cues into asymmetric spindle positioning in "Caenorhabditis elegans"

Abstract: Asymmetric cell division is important to generate tissue diversity. The Caenorhabditis elegans embryo is well suited to study the mechanisms of asymmetric cell division. In wild type one-cell stage embryos, the spindle sets up along the anterior-posterior axis (AP). During anaphase, the spindle elongates. While the anterior spindle pole is relatively immobile, the posterior spindle pole moves towards the posterior cortex during anaphase leading to an asymmetric spindle position. As a result, the first cleavage gives rise to a large anterior blastomere and a smaller posterior one, which differs also in cell fate determinants. This posterior spindle displacement occurs in response to polarity cues set up along the AP axis by the PAR proteins and is due to imbalanced pulling forces acting on the two spindle poles, with net forces acting on the posterior spindle pole being more extensive than those at the anterior one. The project of my thesis was to characterize the involvement of two new components, gpr-1 and gpr-2, in spindle positioning. These genes encode essentially identical proteins containing a GoLoco motif characteristic of proteins interacting with α subunits of heterotrimeric G protein (Gα). In gpr-1/2(RNAi) embryos and in embryos lacking simultaneously two α subunits, goa-1 and gpa-16, (Ga(RNAi) embryos), there is a minimal posterior displacement of the spindle during anaphase, and the first division is equal. I found that the pulling forces acting on the two spindle poles is weak and equal in gpr-1/2(RNAi) and Gα (RNAi) embryos. I found that GPR-1/2 acts downstream of polarity cues for generation of pulling forces. Furthermore, I showed that GPR-1/2 distribution was enriched at the posterior cortex during metaphase whereas GOA-1 and GPA-16 were uniformly distributed at the cell cortex throughout the cell cycle. Gα subunits oscillate between GDP- and GTP-bound forms. Gα signaling is turned on by GDP/GTP exchange catalyzed by guanine nucleotide exchange factors (GEFs) and turned off by hydrolysis of GTP catalyzed by GTPase activating proteins (GAPs). A third class of proteins, the guanine dissociation inhibitors (GDIs), binds the GDP-bound form of Gα subunits and inhibits nucleotide exchange. I found that GPR-1/2 acts as a GDI for GOA-1. Taken together, my findings suggest a model in which differential activation of Gα subunits along the AP axis may translate into generation of differential pulling forces on the anterior and posterior spindle poles, and, thus, asymmetric cell division. Résumé L'embryon du nématode Caenorhabditis elegans est un modèle approprié pour étudier les mécanismes de la division asymétrique. Chez l'embryon précoce, le fuseau mitotique se forme le long de l'axe antéro-postérieur (A/P) et au centre de l'embryon, le pôle antérieur restant relativement immobile alors que le pôle postérieur du fuseau se déplace vers le cortex postérieur au cours de l'anaphase conduisant à une position excentrée du fuseau. 11 en résulte une première division qui génère un blastomère antérieur et postérieur de grande et petite taille respectivement et qui diffèrent en facteurs développementaux. Ce déplacement postérieur se produit en réponse de la polarité établie par la distribution polarisée des protéines PAR et est le résultat de la génération de forces inégales tirant sur les deux pôles du fuseau, les forces agissant sur le pôle postérieur du fuseau étant plus grandes. Le projet de ma thèse était d'identifier la fonction de deux nouveaux constituants, gpr-1 et gpr-2 dans le positionnement asymétrique du fuseau. Ces gènes codent essentiellement pour la même protéine qui contient un motif GoLoco, caractéristique des protéines interagissant avec la sous-unité alpha des protéines G hétérotrimériques. Chez l'embryon gpr-1/2(RNAi) et chez les embryons dépourvus d'activité de deux sous-unités alpha, goa-1 et gpa-16, (Gα(RNAi)), j'ai montré qu'il y avait un déplacement minimal du fuseau vers le pôle postérieur au cours de l'anaphase et la première division est symétrique en raison de forces faibles et égales agissant sur les deux pôles du fuseau. J'ai également montré que gpr-1/2 était requis en aval des signaux établissant la polarité pour générer les forces responsables du positionnement asymétrique du fuseau. De plus, j'ai montré que GPR-1/2 était enrichi au pôle postérieur lors de la métaphase alors que GOA-1 et GPA-16 étaient localisés de façon uniforme au cortex de l'embryon précoce. Gas oscillent entre une forme liée au GDP et une forme liée au GTP. La signalisation des Gas est activée par l'échange GDP/GTP qui est catalysé par des protéines GEFs. La signalisation des Gas est désactivée par l'hydrolyse du GTP qui est catalysée par des protéines GAPs. Une troisième classe de protéines, GDIs lie la forme GDP et inhibe l'échange de nucléotides. J'ai montré que GPR-1/2 agissait comme un GDI pour GOA-1. Mes résultats suggèrent un modèle dans lequel une activation différentielle des Gα le long de l'axe A/P pourrait générer des forces différentielles sur le pôle antérieur et postérieur du fuseau.

On the differential evolution algorithm and its appliation to training radial basis function networks

The parameter setting of a differential evolution algorithm must meet several requirements: efficiency, effectiveness, and reliability. Problems vary. The solution of a particular problem can be represented in different ways. An algorithm most efficient in dealing with a particular representation may be less efficient in dealing with other representations. The development of differential evolution-based methods contributes substantially to research on evolutionary computing and global optimization in general. The objective of this study is to investigatethe differential evolution algorithm, the intelligent adjustment of its controlparameters, and its application. In the thesis, the differential evolution algorithm is first examined using different parameter settings and test functions. Fuzzy control is then employed to make control parameters adaptive based on an optimization process and expert knowledge. The developed algorithms are applied to training radial basis function networks for function approximation with possible variables including centers, widths, and weights of basis functions and both having control parameters kept fixed and adjusted by fuzzy controller. After the influence of control variables on the performance of the differential evolution algorithm was explored, an adaptive version of the differential evolution algorithm was developed and the differential evolution-based radial basis function network training approaches were proposed. Experimental results showed that the performance of the differential evolution algorithm is sensitive to parameter setting, and the best setting was found to be problem dependent. The fuzzy adaptive differential evolution algorithm releases the user load of parameter setting and performs better than those using all fixedparameters. Differential evolution-based approaches are effective for training Gaussian radial basis function networks.

The role of Bluetooth technology in transforming the value network of ICT industry

Tutkimuksen tavoitteena oli selvittää miten Bluetooth-teknologia voi vaikuttaa ICT-alan arvoverkkoon ja alan toimijoiden rooleihin. Tutkimuksessa käytettiin kvalitatiivisia menetelmiä ja siinä oli piirteitä tulevaisuuden tutkimuksesta, koska myös eksploratiivisia menetelmiä käytettiin. Tutkimus perustui laajalti kirjallisuuteen ja artikkeleihin, joiden perusteella muodostettiin skenaarioita ICT-alan tulevaisuuden arvoverkosta. Tutkimus sisälsi myös empiirisen osion, jossa järjestettiin kaksi ryhmäkeskustelua, joissa alan toimijat keskustelivat muodostetuista skenaarioista sekä yleisemmin Bluetoothin vaikutuksista arvoverkkoon. Tutkimuksen mukaan ICT-alan arvoverkko tulevaisuudessa on rakenteeltaan strateginen arvoverkko, jota johtaa eri toimija erilaisissa markkinatilanteissa. Verkon strateginen keskus voi muuttua ajan kuluessa kun Bluetoothin sovelluskohteet lisääntyvät ja se voi vaihdella markkina-alueesta toiseen. Bluetooth luo uuden kommunikaatiokanavan nykyisten rinnalle ja se voi paikallisesti korvata nykyisten kanavien käytön tiedon siirrossa. Bluetooth voi synnyttää lukuisia uusia liiketoimintamahdollisuuksia ja sen avulla voidaan tuottaa lisäarvopalveluita. Suurimpien muutosten voidaan olettaa koskevan teleoperaattoreiden ja sisällöntuottajien liiketoimintaa.

Indicators for the characterization of discrete Choquet integrals

Ordered weighted averaging (OWA) operators and their extensions are powerful tools used in numerous decision-making problems. This class of operator belongs to a more general family of aggregation operators, understood as discrete Choquet integrals. Aggregation operators are usually characterized by indicators. In this article four indicators usually associated with the OWA operator are extended to discrete Choquet integrals: namely, the degree of balance, the divergence, the variance indicator and Renyi entropies. All of these indicators are considered from a local and a global perspective. Linearity of indicators for linear combinations of capacities is investigated and, to illustrate the application of results, indicators of the probabilistic ordered weighted averaging -POWA- operator are derived. Finally, an example is provided to show the application to a specific context.

How differential management strategies affect Ips typographus L. dispersal

Bark beetle outbreaks have a devastating effect on economically important forests worldwide, thus requiring extensive application of management control strategies. The presence of unmanaged protected areas in close proximity to managed forests can instigate concerns that bark beetle infestations may spread from unmanaged into managed stands. We studied the impact of differential management of forest stands on the dispersal dynamics of the European spruce bark beetle, Ips typographus, making use of inferential population genetics on mitochondrial and nuclear genomes. Bayesian inferences of migration rates and a most parsimonious dispersal tree show that outgoing gene flow was consistently higher from managed to unmanaged areas. Reason for that is likely the thorough removal of potential breeding material in managed forests and thus the dispersal of the base stock beetles from these areas to unmanaged areas where breeding material is available. Our study suggests that the potential threat posed by unmanaged to managed forests in regard to I. typographus infestation needs to be carefully re-considered.

Paranoia and post-traumatic stress disorder in the months after a physical assault: a longitudinal study examining shared and differential predictors.

Background: Being physically assaulted is known to increase the risk of the occurrence of post-traumatic stress disorder (PTSD) symptoms but it may also skew judgements about the intentions of other people. The objectives of the study were to assess paranoia and PTSD after an assault and to test whether theory-derived cognitive factors predicted the persistence of these problems. Method: At 4 weeks after hospital attendance due to an assault, 106 people were assessed on multiple symptom measures (including virtual reality) and cognitive factors from models of paranoia and PTSD. The symptom measures were repeated 3 and 6 months later. Results: Factor analysis indicated that paranoia and PTSD were distinct experiences, though positively correlated. At 4 weeks, 33% of participants met diagnostic criteria for PTSD, falling to 16% at follow-up. Of the group at the first assessment, 80% reported that since the assault they were excessively fearful of other people, which over time fell to 66%. Almost all the cognitive factors (including information-processing style during the trauma, mental defeat, qualities of unwanted memories, self-blame, negative thoughts about self, worry, safety behaviours, anomalous internal experiences and cognitive inflexibility) predicted later paranoia and PTSD, but there was little evidence of differential prediction. Conclusions: Paranoia after an assault may be common and distinguishable from PTSD but predicted by a strikingly similar range of factors.

Statistical Analysis of an SEIR Epidemic Model

This thesis was focussed on statistical analysis methods and proposes the use of Bayesian inference to extract information contained in experimental data by estimating Ebola model parameters. The model is a system of differential equations expressing the behavior and dynamics of Ebola. Two sets of data (onset and death data) were both used to estimate parameters, which has not been done by previous researchers in (Chowell, 2004). To be able to use both data, a new version of the model has been built. Model parameters have been estimated and then used to calculate the basic reproduction number and to study the disease-free equilibrium. Estimates of the parameters were useful to determine how well the model fits the data and how good estimates were, in terms of the information they provided about the possible relationship between variables. The solution showed that Ebola model fits the observed onset data at 98.95% and the observed death data at 93.6%. Since Bayesian inference can not be performed analytically, the Markov chain Monte Carlo approach has been used to generate samples from the posterior distribution over parameters. Samples have been used to check the accuracy of the model and other characteristics of the target posteriors.

The Effect of Operational Disturbances on Reliability and Operation Time Distribution of NCmachine Tools in FMS

This thesis concentrates on studying the operational disturbance behavior of machine tools integrated into FMS. Operational disturbances are short term failures of machine tools which are especially disruptive to unattended or unmanned operation of FMS. The main objective was to examine the effect of operational disturbances on reliability and operation time distribution for machine tools. The theoretical part of the thesis covers the fimdamentals of FMS relating to the subject of this study. The concept of FMS, its benefits and operator's role in FMS operation are reviewed. The importance of reliability is presented. The terms describing the operation time of machine tools are formed by adopting standards and references. The concept of failure and indicators describing reliability and operational performance for machine tools in FMSs are presented. The empirical part of the thesis describes the research methodology which is a combination of automated (ADC) and manual data collection. By using this methodology it is possible to have a complete view of the operation time distribution for studied machine tools. Data collection was carried out in four FMSs consisting of a total of 17 machine tools. Each FMS's basic features and the signals of ADC are described. The indicators describing the reliability and operation time distribution of machine tools were calculated according to collected data. The results showed that operational disturbances have a significant influence on machine tool reliability and operational performance. On average, an operational disturbance occurs every 8,6 hours of operation time and has a down time of 0,53 hours. Operational disturbances cause a 9,4% loss in operation time which is twice the amount of losses caused by technical failures (4,3%). Operational disturbances have a decreasing influence on the utilization rate. A poor operational disturbance behavior decreases the utilization rate. It was found that the features of a part family to be machined and the method technology related to it are defining the operational disturbance behavior of the machine tool. Main causes for operational disturbances were related to material quality variations, tool maintenance, NC program errors, ATC and machine tool control. Operator's role was emphasized. It was found that failure recording activity of the operators correlates with the utilization rate. The more precisely the operators record the failure, the higher is the utilization rate. Also the FMS organizations which record failures more precisely have fewer operational disturbances.

Synthesis and biological activity of sulfur compounds showing structural analogy with combretastatin A-4

We extended our previous exploration of sulfur bridges as bioisosteric replacements for atoms forming the bridge between the aromatic rings of combretastatin A-4. Employing coupling reactions between 5-iodo-1,2,3-trimethoxybenzene and substituted thiols, followed by oxidation to sulfones with m-CPBA, different locations for attaching the sulfur atom to ring A through the synthesis of nine compounds were examined. Antitubulin activity was performed with electrophoretically homogenous bovine brain tubulin, and activity occurred with the 1,2,3-trimethoxy-4-[(4-methoxyphenyl)thio]benzene (12), while the other compounds were inactive. The compounds were also tested for leishmanicidal activity using promastigote forms of Leishmania braziliensis (MHOM/BR175/M2904), and the greatest activity was observed with 1,2,3-trimethoxy-4-(phenylthio)benzene (10) and 1,2,3-trimethoxy-4-[(4-methoxyphenyl) sulfinyl]benzene (15).

Estimation of phenotypic diversity in field populations of Magnaporthe grisea from two upland rice cultivars

The phenotypic diversity of Magnaporthe grisea was evaluated based on leaf samples with blast lesions collected from eight commercial fields of the upland rice cultivars 'BRS Primavera' and 'BRS Bonança', during the growing seasons of 2001/2002 and 2002/2003, in Goias State. The number of M. grisea isolates from each field utilized for virulence testing varied from 28 to 47. Three different indices were used based on reaction type in the eight standard international differentials and eight Brazilian differentials. The M. grisea subpopulations of ´Primavera' and 'Bonança', as measured by Simpson, Shannon and Gleason indices, showed similar phenotypic diversities. The Simpson index was more sensitive relation than those of Shannon and Gleason for pathotype number and standard deviation utilizing Brazilian differentials. However, the Gleason index was sensitive to standard deviation for international differentials. The sample size did not significantly influence the diversity index. The two sets of differential cultivars used in this study distinguished phenotypic diversity in different ways in all of the eight subpopulations analyzed. The phenotypic diversity determined based on eight differential Brazilian cultivars was lower in commercial rice fields of 'Primavera' than in the fields of 'Bonança,' independent of the diversity index utilized, year and location. Considering the Brazilian differentials, the four subpopulations of 'BRS Primavera' did not show evenness in distribution and only one pathotype dominated in the populations. The even distribution of pathotype was observed in three subpopulations of 'BRS Bonança'. The pathotype diversity of M. grisea was determined with more precision using Brazilian differentials and Simpson index.

BRUNO BAUCH AND THE COMPREHENSIBILITY OF NATURE

ABSTRACT The aim of this paper is to discuss how Bruno Bauch deals with the problem of the coordination between empirical concepts and spatiotemporal objects. We shall argue that Bauch reformulates the Kantian distinction between concepts and intuitions by means of a philosophical consideration of differential calculus and that he thereby explains the possibility of such coordination, avoiding certain difficulties of the Kantian doctrine.

Generalized Differential Evolution for Global Multi-Objective Optimization with Constraints

The objective of this thesis work is to develop and study the Differential Evolution Algorithm for multi-objective optimization with constraints. Differential Evolution is an evolutionary algorithm that has gained in popularity because of its simplicity and good observed performance. Multi-objective evolutionary algorithms have become popular since they are able to produce a set of compromise solutions during the search process to approximate the Pareto-optimal front. The starting point for this thesis was an idea how Differential Evolution, with simple changes, could be extended for optimization with multiple constraints and objectives. This approach is implemented, experimentally studied, and further developed in the work. Development and study concentrates on the multi-objective optimization aspect. The main outcomes of the work are versions of a method called Generalized Differential Evolution. The versions aim to improve the performance of the method in multi-objective optimization. A diversity preservation technique that is effective and efficient compared to previous diversity preservation techniques is developed. The thesis also studies the influence of control parameters of Differential Evolution in multi-objective optimization. Proposals for initial control parameter value selection are given. Overall, the work contributes to the diversity preservation of solutions in multi-objective optimization.

Population structure of Eschweilera coriacea (DC.) S. A. Mori in forest fragments in eastern Brazilian Amazonia

The population structure of a common canopy tree was examined in three sites to investigate the possible effects of forest fragmentation in eastern Amazonia. Evidence for the escape hypothesis of differential seed/seedling survival was evaluated. Two 1 ha plots were established at each site and all individuals of Eschweilera coriacea (DC.) S. A. Mori over 1 m tall were tagged, measured and mapped. Smaller individuals were recorded in the same way within subplots. Mature individuals were abundant at all sites with densities of 32-52 ha-1. The species exhibited substantial regeneration, although total population density varied fourfold among sites (1,256-4,805 individuals ha-1). Overall, juveniles were clumped while adults were randomly distributed. The difference between the dispersion pattern of adults and juveniles supported the escape hypothesis. However, no difference in population structure among sites could be related to the forest fragmentation.