Tarracomap: Development of an archaeological application on Google Maps navigation System

This paper describes the result of a research about diverse areas of the information technology world applied to cartography. Its final result is a complete and custom geographic information web system, designed and implemented to manage archaeological information of the city of Tarragona. The goal of the platform is to show on a web-focused application geographical and alphanumerical data and to provide concrete queries to explorate this. Various tools, between others, have been used: the PostgreSQL database management system in conjunction with its geographical extension PostGIS, the geographic server GeoServer, the GeoWebCache tile caching, the maps viewer and maps and satellite imagery from Google Maps, locations imagery from Google Street View, and other open source libraries. The technology has been chosen from an investigation of the requirements of the project, and has taken great part of its development. Except from the Google Maps tools which are not open source but are free, all design has been implemented with open source and free tools.

Let's K-map play : Juego de aprendizaje de Karnaugh Maps para móvil

En este informe se describe el trabajo de fin de máster, centrado en el estudio de la gamificación como herramienta de aprendizaje aplicada a dispositivos móviles. Se ha realizado una revisión de los artículos científicos que tratan sobre el tema de la gamificación como herramienta educativa, para terminar el trabajo desarrollando un prototipo de juego para el aprendizaje de mapas de Karnaugh. Se ha optado por un desarrollo multiplataforma y se han revisado los frameworks de desarrollo más populares para desarrollo móvil multiplataforma, así como los motores de juegos aplicables a este caso. Tras la implementación, se ha probado el prototipo en dos sistemas operativos móviles libres: Android y Firefox OS.

RETINOBLASTOMA RELATED1 Regulates Asymmetric Cell Divisions in Arabidopsis.

Formative, also called asymmetric, cell divisions produce daughter cells with different identities. Like other divisions, formative divisions rely first of all on the cell cycle machinery with centrally acting cyclin-dependent kinases (CDKs) and their cyclin partners to control progression through the cell cycle. However, it is still largely obscure how developmental cues are translated at the cellular level to promote asymmetric divisions. Here, we show that formative divisions in the shoot and root of the flowering plant Arabidopsis thaliana are controlled by a common mechanism that relies on the activity level of the Cdk1 homolog CDKA;1, with medium levels being sufficient for symmetric divisions but high levels being required for formative divisions. We reveal that the function of CDKA;1 in asymmetric cell divisions operates through a transcriptional regulation system that is mediated by the Arabidopsis Retinoblastoma homolog RBR1. RBR1 regulates not only cell cycle genes, but also, independent of the cell cycle transcription factor E2F, genes required for formative divisions and cell fate acquisition, thus directly linking cell proliferation with differentiation. This mechanism allows the implementation of spatial information, in the form of high kinase activity, with intracellular gating of developmental decisions.

Citrus asymmetric somatic hybrids produced via fusion of gamma-irradiated and iodoacetamide-treated protoplasts

The objective of this study was to produce citrus somatic asymmetric hybrids by fusing gamma-irradiated protoplasts with iodoacetamide-treated protoplasts. Protoplasts were isolated from embryogenic suspension cells of grapefruit (Citrus paradisi Macfad.) cultivars Ruby Red and Flame, sweet oranges (C. sinensis Osbeck) 'Itaboraí', 'Natal', Valencia', and 'Succari', from 'Satsuma' (C. unshiu Marcow.) and 'Changsha' mandarin (C. reticulata Blanco) and 'Murcott' tangor (C. reticulata x C. sinensis). Donor protoplasts were exposed to gamma rays and receptor protoplasts were treated with 3 mmol L-1 iodoacetamide (IOA), and then they were fused for asymmetric hybridization. Asymmetric embryos were germinated, and the resulting shoots were either grafted onto sour orange, rough lemon or 'Swingle' (C. paradisi x Poncirus trifoliata) x 'Sunki' mandarin rootstock seedlings, or rooted after dipping their bases in indol-butyric acid (IBA) solution. The products were later acclimatized to greenhouse conditions. Ploidy was analyzed by flow cytometry, and hybridity was confirmed by amplified fragment length polymorphism (AFLP) analysis of plantlet DNAsamples. The best treatment was the donor-recipient fusion combination of 80 Gy-irradiated 'Ruby Red' protoplasts with 20 min IOA-treated 'Succari' protoplasts. Tetraploid and aneuploid plants were produced. Rooting recalcitrance was solved by dipping shoots' stems in 3,000 mg L-1 IBA solution for 10 min.

Asymmetric stochastic switching driven by intrinsic molecular noise

Low-copy-number molecules are involved in many functions in cells. The intrinsic fluctuations of these numbers can enable stochastic switching between multiple steady states, inducing phenotypic variability. Herein we present a theoretical and computational study based on Master Equations and Fokker-Planck and Langevin descriptions of stochastic switching for a genetic circuit of autoactivation. We show that in this circuit the intrinsic fluctuations arising from low-copy numbers, which are inherently state-dependent, drive asymmetric switching. These theoretical results are consistent with experimental data that have been reported for the bistable system of the gallactose signaling network in yeast. Our study unravels that intrinsic fluctuations, while not required to describe bistability, are fundamental to understand stochastic switching and the dynamical relative stability of multiple states.

On the preservation of combinatorial types for maps on trees

We study the preservation of the periodic orbits of an A-monotone tree map f:T→T in the class of all tree maps g:S→S having a cycle with the same pattern as A. We prove that there is a period-preserving injective map from the set of (almost all) periodic orbits of ƒ into the set of periodic orbits of each map in the class. Moreover, the relative positions of the corresponding orbits in the trees T and S (which need not be homeomorphic) are essentially preserved

Sierpinski curve Julia sets for quadratic rational maps

We investigate under which dynamical conditions the Julia set of a quadratic rational map is a Sierpiński curve.

Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data?

We propose a multivariate approach to the study of geographic species distribution which does not require absence data. Building on Hutchinson's concept of the ecological niche, this factor analysis compares, in the multidimensional space of ecological variables, the distribution of the localities where the focal species was observed to a reference set describing the whole study area. The first factor extracted maximizes the marginality of the focal species, defined as the ecological distance between the species optimum and the mean habitat within the reference area. The other factors maximize the specialization of this focal species, defined as the ratio of the ecological variance in mean habitat to that observed for the focal species. Eigenvectors and eigenvalues are readily interpreted and can be used to build habitat-suitability maps. This approach is recommended in Situations where absence data are not available (many data banks), unreliable (most cryptic or rare species), or meaningless (invaders). We provide an illustration and validation of the method for the alpine ibex, a species reintroduced in Switzerland which presumably has not yet recolonized its entire range.

Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images

In this paper, an advanced technique for the generation of deformation maps using synthetic aperture radar (SAR) data is presented. The algorithm estimates the linear and nonlinear components of the displacement, the error of the digital elevation model (DEM) used to cancel the topographic terms, and the atmospheric artifacts from a reduced set of low spatial resolution interferograms. The pixel candidates are selected from those presenting a good coherence level in the whole set of interferograms and the resulting nonuniform mesh tessellated with the Delauney triangulation to establish connections among them. The linear component of movement and DEM error are estimated adjusting a linear model to the data only on the connections. Later on, this information, once unwrapped to retrieve the absolute values, is used to calculate the nonlinear component of movement and atmospheric artifacts with alternate filtering techniques in both the temporal and spatial domains. The method presents high flexibility with respect to the required number of images and the baselines length. However, better results are obtained with large datasets of short baseline interferograms. The technique has been tested with European Remote Sensing SAR data from an area of Catalonia (Spain) and validated with on-field precise leveling measurements.

Self-Organising Maps and Correlation Analysis as a Tool to Explore Patterns in Excitation-Emission Matrix Data Sets and to Discriminate Dissolved Organic Matter Fluorescence Components

Dissolved organic matter (DOM) is a complex mixture of organic compounds, ubiquitous in marine and freshwater systems. Fluorescence spectroscopy, by means of Excitation-Emission Matrices (EEM), has become an indispensable tool to study DOM sources, transport and fate in aquatic ecosystems. However the statistical treatment of large and heterogeneous EEM data sets still represents an important challenge for biogeochemists. Recently, Self-Organising Maps (SOM) has been proposed as a tool to explore patterns in large EEM data sets. SOM is a pattern recognition method which clusterizes and reduces the dimensionality of input EEMs without relying on any assumption about the data structure. In this paper, we show how SOM, coupled with a correlation analysis of the component planes, can be used both to explore patterns among samples, as well as to identify individual fluorescence components. We analysed a large and heterogeneous EEM data set, including samples from a river catchment collected under a range of hydrological conditions, along a 60-km downstream gradient, and under the influence of different degrees of anthropogenic impact. According to our results, chemical industry effluents appeared to have unique and distinctive spectral characteristics. On the other hand, river samples collected under flash flood conditions showed homogeneous EEM shapes. The correlation analysis of the component planes suggested the presence of four fluorescence components, consistent with DOM components previously described in the literature. A remarkable strength of this methodology was that outlier samples appeared naturally integrated in the analysis. We conclude that SOM coupled with a correlation analysis procedure is a promising tool for studying large and heterogeneous EEM data sets.

Mobile robot localization using sonar ranging and wlan intensity maps

 Main goal of this thesis was to implement a localization system which uses sonars and WLAN intensity maps to localize an indoor mobile robot. A probabilistic localization method, Monte Carlo Localization is used in localization. Also the theory behind probabilistic localization is explained. Two main problems in mobile robotics, path tracking and global localization, are solved in this thesis. Implemented system can achieve acceptable performance in path tracking. Global localization using WLAN received signal strength information is shown to provide good results, which can be used to localize the robot accurately, but also some bad results, which are no use when trying to localize the robot to the correct place. Main goal of solving ambiguity in office like environment is achieved in many test cases.

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.