951 resultados para Self-organizing networks


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Il lavoro svolto in questa tesi verte sullo sviluppo e l'integrazione del modello teorico conosciuto come Biochemical Tuple Spaces for Self-Organizing Coordination, in breve BTSSOC, in una piattaforma completa, chiamata BTSSOC-Cellulat, per la simulazione di sistemi biochimici, sviluppata utilizzando i linguaggi Java, Prolog, TuCSoN e ReSpecT.

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Ziel der vorliegenden Arbeit ist die Aufklärung von Struktur und Dynamik komplexer supramolekularer Systeme mittels Festkörper NMR Spektroskopie. Die Untersuchung von pi-pi Wechselwirkungen, welche einen entscheidenden Einfluss auf die strukturellen und dynamischen Eigenschaften supra- molekularer Systeme haben, hilft dabei, die Selbst- organisationsprozesse dieser komplexen Materialien besser zu verstehen. Mit dipolaren 1H-1H and 1H-13C Wiedereinkopplungs NMR Methoden unter schnellem MAS können sowohl 1H chemische Verschiebungen als auch dipolare 1H-1H und 1H-13C Kopplungen untersucht werden, ohne dass eine Isotopenmarkierung erforderlich ist. So erhält man detaillierte Informationen über die Struktur und die Beweglichkeit einzelner Molekül- segmente. In Verbindung mit sogenannten nucleus independent chemical shift (NICS) maps (berechnet mit ab-initio Methoden) lassen sich Abstände von Protonen relativ zu pi-Elektronensystemen bestimmen und so Strukturvorschläge ableiten. Mit Hilfe von homo- und heteronuklearen dipolaren Rotationsseitenbandenmustern könnenaußerdem Ordnungs- parameter für verschiedene Molekülsegmente bestimmt werden. Die auf diese Weise gewonnenen Informationen über die strukturellen und dynamischen Eigenschaften supramolekularer Systeme tragen dazu bei, strukturbestimmende Molekül- einheiten und Hauptordnungsphänomene zu identifizieren sowie lokale Wechselwirkungen zu quantifizieren, um so den Vorgang der Selbstorganisation besser zu verstehen.

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Synthetic Biology is a relatively new discipline, born at the beginning of the New Millennium, that brings the typical engineering approach (abstraction, modularity and standardization) to biotechnology. These principles aim to tame the extreme complexity of the various components and aid the construction of artificial biological systems with specific functions, usually by means of synthetic genetic circuits implemented in bacteria or simple eukaryotes like yeast. The cell becomes a programmable machine and its low-level programming language is made of strings of DNA. This work was performed in collaboration with researchers of the Department of Electrical Engineering of the University of Washington in Seattle and also with a student of the Corso di Laurea Magistrale in Ingegneria Biomedica at the University of Bologna: Marilisa Cortesi. During the collaboration I contributed to a Synthetic Biology project already started in the Klavins Laboratory. In particular, I modeled and subsequently simulated a synthetic genetic circuit that was ideated for the implementation of a multicelled behavior in a growing bacterial microcolony. In the first chapter the foundations of molecular biology are introduced: structure of the nucleic acids, transcription, translation and methods to regulate gene expression. An introduction to Synthetic Biology completes the section. In the second chapter is described the synthetic genetic circuit that was conceived to make spontaneously emerge, from an isogenic microcolony of bacteria, two different groups of cells, termed leaders and followers. The circuit exploits the intrinsic stochasticity of gene expression and intercellular communication via small molecules to break the symmetry in the phenotype of the microcolony. The four modules of the circuit (coin flipper, sender, receiver and follower) and their interactions are then illustrated. In the third chapter is derived the mathematical representation of the various components of the circuit and the several simplifying assumptions are made explicit. Transcription and translation are modeled as a single step and gene expression is function of the intracellular concentration of the various transcription factors that act on the different promoters of the circuit. A list of the various parameters and a justification for their value closes the chapter. In the fourth chapter are described the main characteristics of the gro simulation environment, developed by the Self Organizing Systems Laboratory of the University of Washington. Then, a sensitivity analysis performed to pinpoint the desirable characteristics of the various genetic components is detailed. The sensitivity analysis makes use of a cost function that is based on the fraction of cells in each one of the different possible states at the end of the simulation and the wanted outcome. Thanks to a particular kind of scatter plot, the parameters are ranked. Starting from an initial condition in which all the parameters assume their nominal value, the ranking suggest which parameter to tune in order to reach the goal. Obtaining a microcolony in which almost all the cells are in the follower state and only a few in the leader state seems to be the most difficult task. A small number of leader cells struggle to produce enough signal to turn the rest of the microcolony in the follower state. It is possible to obtain a microcolony in which the majority of cells are followers by increasing as much as possible the production of signal. Reaching the goal of a microcolony that is split in half between leaders and followers is comparatively easy. The best strategy seems to be increasing slightly the production of the enzyme. To end up with a majority of leaders, instead, it is advisable to increase the basal expression of the coin flipper module. At the end of the chapter, a possible future application of the leader election circuit, the spontaneous formation of spatial patterns in a microcolony, is modeled with the finite state machine formalism. The gro simulations provide insights into the genetic components that are needed to implement the behavior. In particular, since both the examples of pattern formation rely on a local version of Leader Election, a short-range communication system is essential. Moreover, new synthetic components that allow to reliably downregulate the growth rate in specific cells without side effects need to be developed. In the appendix are listed the gro code utilized to simulate the model of the circuit, a script in the Python programming language that was used to split the simulations on a Linux cluster and the Matlab code developed to analyze the data.

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Liquid crystalline elastomers (LCEs) are known to perform a reversible change of shape upon the phase transition from the semi-ordered liquid crystalline state to the chaotic isotropic state. This unique behavior of these “artificial muscles” arises from the self-organizing properties of liquid crystals (mesogens) in combination with the entropy-elasticity of the slightly crosslinked elastomer network. In this work, micrometer-sized LCE actuators are fabricated in a microfluidic setup. The microtubular shear flow provides for a uniform orientation of the mesogens during the crosslinking, a perquisite for obtaining actuating LCE samples. The scope of this work was to design different actuator geometries and to broaden the applicability of the microfluidic device for different types of liquid crystalline mesogens, ranging from side-chain to main-chain systems, as well as monomer and polymer precursors. For example, the thiol-ene “click” mechanism was used for the polymerization and crosslinking of main-chain LCE actuators. The main focus was, however, placed on acrylate monomers and polymers with LC side chains. A LC polymer precursor, comprising mesogenic and crosslinkable side-chains was synthesized. Used in combination with an LC monomer, the polymeric crosslinker promoted a stable LC phase, which allowed the mixture to be isothermally handled in the microfluidic reactor. If processed without the additional LC components, the polymer precursor yielded actuating fibers. A suitable co-flowing continuous phase facilitates the formation of a liquid jet and lowers the tendency for drop formation. By modification of the microfluidic device, it was further possible to prepare core-shell particles, comprised of an LCE shell and filled with an isotropic liquid. In analogy to the heart, a hollow muscle, the elastomer shell expels the inner liquid core upon its contraction. The feasibility of the core-shell particles as micropumps was demonstrated. In general, the synthesized LCE microactuators may be utilized as active components in micromechanical and lab-on-chip systems.

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Die Frage wie großmotorische Bewegungen gelernt werden beschäftigt nicht nur Sportler, Trainer und Sportlehrer sondern auch Ärzte und Physiotherapeuten. Die sportwissenschaftlichen Teildisziplinen Bewegungs- und Trainingswissenschaft versuchen diese Frage sowohl im Sinne der Grundlagenforschung (Wie funktioniert Bewegungslernen?) als auch hinsichtlich der praktischen Konsequenzen (Wie lehrt man Bewegungen?) zu beantworten. Innerhalb dieser Themenfelder existieren Modelle, die Bewegungslernen als gezielte und extern unterstützte Ausbildung zentralnervöser Bewegungsprogramme verstehen und solche, die Lernen als Selbstorganisationsprozess interpretieren. Letzteren ist das Differenzielle Lernen und Lehren (Schöllhorn, 1999) zuzuordnen, das die Notwendigkeit betont, Bewegungen durch die Steigerung der Variationen während der Aneignungsphase zu lernen und zu lehren. Durch eine Vielzahl an Variationen, so die Modellannahme, findet der Lernende ohne externe Vorgaben selbstorganisiert ein individuelles situatives Optimum. Die vorliegende Arbeit untersucht, welchen Einfluss Variationen verschiedener Art und Größe auf die Lern- und Aneignungsleistung großmotorischer Bewegungen haben und in wie fern personenübergreifende Optima existieren. In zwei Experimenten wird der Einfluss von räumlichen (Bewegungsausführung, Bewegungsergebnis) und zeitlichen Variationen (zeitliche Verteilung der Trainingsreize) auf die Aneignungs- und Lernleistung großmotorischer sportlicher Bewegungen am Beispiel zweier technischer Grundfertigkeiten des Hallenhockeys untersucht. Die Ergebnisse der Experimente stützen die bisherige Befundlage zum Differenziellen Lernen und Lehren, wonach eine Zunahme an Variation in der Aneignungsphase zu größeren Aneignungs- und Lernleistungen führt. Zusätzlich wird die Annahme bestätigt, dass ein Zusammenhang von Variationsbereich und Lernrate in Form eines Optimaltrends vorliegt. Neu sind die Hinweise auf die Dynamik von motorischen Lernprozessen (Experiment 1). Hier scheinen individuelle Faktoren (z. B. die Lernbiografie) als auch die Phase im Lernprozess (Aneignung, Lernen) Einfluss zu haben auf den Umfang und die Struktur eines für die optimale Adaptation notwendigen Variationsbereichs. Darüber hinaus weisen die Befunde auf verschiedene Aneignungs- und Lerneffekte aufgrund alleiniger Variation der zeitlichen Verteilung bei ansonsten gleichen Trainingsreizen hin (Experiment 2). Für zukünftige Forschungsarbeiten zum Erlernen großmotorischer Bewegungen und für die sportliche Praxis dürfte es daher erkenntnisreich sein, die Historie der intrinsischen Dynamik der lernenden Systeme stärker zu berücksichtigen. Neben Fragestellungen für die Grundlagenforschung zum (Bewegungs-)Lernen ließen sich hieraus unmittelbar praxisrelevante Erkenntnisse darüber ableiten, wie Bewegungslernprozesse mittels verschiedener Variationsbereiche strukturiert und gesteuert werden könnten.

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Flüssigkristalline Elastomere (LCE) zeigen eine reversible Kontraktion und werden in der Literatur auch als „künstliche Muskeln“ bezeichnet. In dieser Arbeit werden sie mit einem integrierten Heizer versehen, um eine schnelle und präzise Ansteuerung zu ermöglichen. Anschließend werden diese als Aktoren zur Realisierung eines technischen Nachbaus des menschlichen Auges verwendet. rnDas einzigartige Verhalten der flüssigkristallinen Elastomere beruht auf der Kombination der Entropie Elastizität des Elastomers mit der Selbstorganisation der flüssigkristallinen Einheiten (Mesogene). Diese beiden Eigenschaften ermöglichen eine reversible, makroskopische Verformung beim Phasenübergang des Flüssigkristalls in die isotrope Phase. Hierbei ist es wichtig eine homogene Orientierung der Mesogene zu erzeugen, was in dieser Arbeit durch ein Magnetfeld erreicht wird. Da es sich um ein thermotropes flüssigkristallines Elastomer handelt, werden in dieser Arbeit zwei Ansätze vorgestellt, um den LCE intern zu heizen. Zum einen werden Kohlenstoffnanoröhren integriert, um diese über Strahlung oder Strom zu heizen und zum anderen wird ein flexibler Heizdraht integriert, welcher ebenfalls über Strom geheizt wird. rnUm den technischen Nachbau des menschlichen Auges zu realisieren, ist die Herstellung einer flüssigkristallinen Iris gezeigt. Hierzu wird ein radiales Magnetfeld aufgebaut, welches eine radiale Orientierung des Mesogene ermöglicht, wodurch wiederum eine radiale Kontraktion ermöglicht wird. Außerdem sind zwei Konzepte vorgestellt, um eine Elastomer Linse zu verformen. Zum einen wird diese mit einem ringförmigen LCE auseinandergezogen und somit abgeflacht. Zum anderen sind acht Aktoren über Anker an einer Linse angebracht, welche ebenfalls eine Vergrößerung der Linse bewirken. In beiden Fällen werden LCE mit dem zuvor präsentierten integrierten Heizdraht verwendet. Abschließend ist das Zusammensetzen des technische Nachbaus des menschlichen Auges dargestellt, sowie Aufnahmen, welche mit diesem erzeugt wurden.

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Nitazoxanide (2-acetolyloxy-N-(5-nitro 2-thiazolyl) benzamide; NTZ) represents the parent compound of a novel class of broad-spectrum anti-parasitic compounds named thiazolides. NTZ is active against a wide variety of intestinal and tissue-dwelling helminths, protozoa, enteric bacteria and a number of viruses infecting animals and humans. While potent, this poses a problem in practice, since this obvious non-selectivity can lead to undesired side effects in both humans and animals. In this study, we used real time PCR to determine the in vitro activities of 29 different thiazolides (NTZ-derivatives), which carry distinct modifications on both the thiazole- and the benzene moieties, against the tachyzoite stage of the intracellular protozoan Neospora caninum. The goal was to identify a highly active compound lacking the undesirable nitro group, which would have a more specific applicability, such as in food animals. By applying self-organizing molecular field analysis (SOMFA), these data were used to develop a predictive model for future drug design. SOMFA performs self-alignment of the molecules, and takes into account the steric and electrostatic properties, in order to determine 3D-quantitative structure activity relationship models. The best model was obtained by overlay of the thiazole moieties. Plotting of predicted versus experimentally determined activity produced an r2 value of 0.8052 and cross-validation using the "leave one out" methodology resulted in a q2 value of 0.7987. A master grid map showed that large steric groups at the R2 position, the nitrogen of the amide bond and position Y could greatly reduce activity, and the presence of large steric groups placed at positions X, R4 and surrounding the oxygen atom of the amide bond, may increase the activity of thiazolides against Neospora caninum tachyzoites. The model obtained here will be an important predictive tool for future development of this important class of drugs.

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BACKGROUND: Pneumococcal meningitis is associated with high mortality (approximately 30%) and morbidity. Up to 50% of survivors are affected by neurological sequelae due to a wide spectrum of brain injury mainly affecting the cortex and hippocampus. Despite this significant disease burden, the genetic program that regulates the host response leading to brain damage as a consequence of bacterial meningitis is largely unknown.We used an infant rat model of pneumococcal meningitis to assess gene expression profiles in cortex and hippocampus at 22 and 44 hours after infection and in controls at 22 h after mock-infection with saline. To analyze the biological significance of the data generated by Affymetrix DNA microarrays, a bioinformatics pipeline was used combining (i) a literature-profiling algorithm to cluster genes based on the vocabulary of abstracts indexed in MEDLINE (NCBI) and (ii) the self-organizing map (SOM), a clustering technique based on covariance in gene expression kinetics. RESULTS: Among 598 genes differentially regulated (change factor > or = 1.5; p < or = 0.05), 77% were automatically assigned to one of 11 functional groups with 94% accuracy. SOM disclosed six patterns of expression kinetics. Genes associated with growth control/neuroplasticity, signal transduction, cell death/survival, cytoskeleton, and immunity were generally upregulated. In contrast, genes related to neurotransmission and lipid metabolism were transiently downregulated on the whole. The majority of the genes associated with ionic homeostasis, neurotransmission, signal transduction and lipid metabolism were differentially regulated specifically in the hippocampus. Of the cell death/survival genes found to be continuously upregulated only in hippocampus, the majority are pro-apoptotic, while those continuously upregulated only in cortex are anti-apoptotic. CONCLUSION: Temporal and spatial analysis of gene expression in experimental pneumococcal meningitis identified potential targets for therapy.

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Gamma-radiation exposure has both short- and long-term adverse health effects. The threat of modern terrorism places human populations at risk for radiological exposures, yet current medical countermeasures to radiation exposure are limited. Here we describe metabolomics for gamma-radiation biodosimetry in a mouse model. Mice were gamma-irradiated at doses of 0, 3 and 8 Gy (2.57 Gy/min), and urine samples collected over the first 24 h after exposure were analyzed by ultra-performance liquid chromatography-time-of-flight mass spectrometry (UPLC-TOFMS). Multivariate data were analyzed by orthogonal partial least squares (OPLS). Both 3- and 8-Gy exposures yielded distinct urine metabolomic phenotypes. The top 22 ions for 3 and 8 Gy were analyzed further, including tandem mass spectrometric comparison with authentic standards, revealing that N-hexanoylglycine and beta-thymidine are urinary biomarkers of exposure to 3 and 8 Gy, 3-hydroxy-2-methylbenzoic acid 3-O-sulfate is elevated in urine of mice exposed to 3 but not 8 Gy, and taurine is elevated after 8 but not 3 Gy. Gene Expression Dynamics Inspector (GEDI) self-organizing maps showed clear dose-response relationships for subsets of the urine metabolome. This approach is useful for identifying mice exposed to gamma radiation and for developing metabolomic strategies for noninvasive radiation biodosimetry in humans.

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Zur Sicherstellung einer schnellen und flexiblen Anpassung an sich ändernde Anforderungen sind innerbetriebliche Materialbereitstellungskonzepte in immer stärkerem Maße zu flexibilisieren. Hierdurch kann die Erreichung logistischer Ziele in einem dynamischen Produktionsumfeld gesteigert werden. Der Beitrag stellt ein Konzept für eine adaptive Materialbereitstellung in flexiblen Produktionssystemen auf Grundlage einer agentenbasierten Transportplanung und -steuerung vor. Der Fokus liegt hierbei auf der Planung und Steuerung der auf Basis von Materialbedarfsmeldungen ausgelösten innerbetrieblichen Transporte. Neben Pendeltouren zur Versorgung des Produktionssystems findet auch das dynamische Pickup-and-Delivery-Problem Berücksichtigung. Das vorgestellte Konzept ist an den Anforderungen selbstorganisierender Produktionsprozesse ausgerichtet.

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In his in uential article about the evolution of the Web, Berners-Lee [1] envisions a Semantic Web in which humans and computers alike are capable of understanding and processing information. This vision is yet to materialize. The main obstacle for the Semantic Web vision is that in today's Web meaning is rooted most often not in formal semantics, but in natural language and, in the sense of semiology, emerges not before interpretation and processing. Yet, an automated form of interpretation and processing can be tackled by precisiating raw natural language. To do that, Web agents extract fuzzy grassroots ontologies through induction from existing Web content. Inductive fuzzy grassroots ontologies thus constitute organically evolved knowledge bases that resemble automated gradual thesauri, which allow precisiating natural language [2]. The Web agents' underlying dynamic, self-organizing, and best-effort induction, enable a sub-syntactical bottom up learning of semiotic associations. Thus, knowledge is induced from the users' natural use of language in mutual Web interactions, and stored in a gradual, thesauri-like lexical-world knowledge database as a top-level ontology, eventually allowing a form of computing with words [3]. Since when computing with words the objects of computation are words, phrases and propositions drawn from natural languages, it proves to be a practical notion to yield emergent semantics for the Semantic Web. In the end, an improved understanding by computers on the one hand should upgrade human- computer interaction on the Web, and, on the other hand allow an initial version of human- intelligence amplification through the Web.

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Software development teams increasingly adopt platform-as-a-service (PaaS), i.e., cloud services that make software development infrastructure available over the internet. Yet, empirical evidence of whether and how software development work changes with the use of PaaS is difficult to find. We performed a grounded-theory study to explore the affordances of PaaS for software development teams. We find that PaaS enables software development teams to enforce uniformity, to exploit knowledge embedded in technology, to enhance agility, and to enrich jobs. These affordances do not arise in a vacuum. Their emergence is closely interwoven with changes in methodologies, roles, and norms that give rise to self-organizing, loosely coupled teams. Our study provides rich descriptions of PaaS-based software development and an emerging theory of affordances of PaaS for software development teams.

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La capacidad de comunicación de los seres humanos ha crecido gracias a la evolución de dispositivos móviles cada vez más pequeños, manejables, potentes, de mayor autonomía y más asequibles. Esta tendencia muestra que en un futuro próximo cercano cada persona llevaría consigo por lo menos un dispositivo de altas prestaciones. Estos dispositivos tienen incorporados algunas formas de comunicación: red de telefonía, redes inalámbricas, bluetooth, entre otras. Lo que les permite también ser empleados para la configuración de redes móviles Ad Hoc. Las redes móviles Ad Hoc, son redes temporales y autoconfigurables, no necesitan un punto de acceso para que los nodos intercambien información entre sí. Cada nodo realiza las tareas de encaminador cuando sea requerido. Los nodos se pueden mover, cambiando de ubicación a discreción. La autonomía de estos dispositivos depende de las estrategias de como sus recursos son utilizados. De tal forma que los protocolos, algoritmos o modelos deben ser diseñados de forma eficiente para no impactar el rendimiento del dispositivo, siempre buscando un equilibrio entre sobrecarga y usabilidad. Es importante definir una gestión adecuada de estas redes especialmente cuando estén siendo utilizados en escenarios críticos como los de emergencias, desastres naturales, conflictos bélicos. La presente tesis doctoral muestra una solución eficiente para la gestión de redes móviles Ad Hoc. La solución contempla dos componentes principales: la definición de un modelo de gestión para redes móviles de alta disponibilidad y la creación de un protocolo de enrutamiento jerárquico asociado al modelo. El modelo de gestión propuesto, denominado High Availability Management Ad Hoc Network (HAMAN), es definido en una estructura de cuatro niveles, acceso, distribución, inteligencia e infraestructura. Además se describen los componentes de cada nivel: tipos de nodos, protocolos y funcionamiento. Se estudian también las interfaces de comunicación entre cada componente y la relación de estas con los niveles definidos. Como parte del modelo se diseña el protocolo de enrutamiento Ad Hoc, denominado Backup Cluster Head Protocol (BCHP), que utiliza como estrategia de encaminamiento el empleo de cluster y jerarquías. Cada cluster tiene un Jefe de Cluster que concentra la información de enrutamiento y de gestión y la envía al destino cuando esta fuera de su área de cobertura. Para mejorar la disponibilidad de la red el protocolo utiliza un Jefe de Cluster de Respaldo el que asume las funciones del nodo principal del cluster cuando este tiene un problema. El modelo HAMAN es validado a través de un proceso la simulación del protocolo BCHP. El protocolo BCHP se implementa en la herramienta Network Simulator 2 (NS2) para ser simulado, comparado y contrastado con el protocolo de enrutamiento jerárquico Cluster Based Routing Protocol (CBRP) y con el protocolo de enrutamiento Ad Hoc reactivo denominado Ad Hoc On Demand Distance Vector Routing (AODV). Abstract The communication skills of humans has grown thanks to the evolution of mobile devices become smaller, manageable, powerful, more autonomy and more affordable. This trend shows that in the near future each person will carry at least one high-performance device. These high-performance devices have some forms of communication incorporated: telephony network, wireless networks, bluetooth, among others. What can also be used for configuring mobile Ad Hoc networks. Ad Hoc mobile networks, are temporary and self-configuring networks, do not need an access point for exchange information between their nodes. Each node performs the router tasks as required. The nodes can move, change location at will. The autonomy of these devices depends on the strategies of how its resources are used. So that the protocols, algorithms or models should be designed to efficiently without impacting device performance seeking a balance between overhead and usability. It is important to define appropriate management of these networks, especially when being used in critical scenarios such as emergencies, natural disasters, wars. The present research shows an efficient solution for managing mobile ad hoc networks. The solution comprises two main components: the definition of a management model for highly available mobile networks and the creation of a hierarchical routing protocol associated with the model. The proposed management model, called High Availability Management Ad Hoc Network (HAMAN) is defined in a four-level structure: access, distribution, intelligence and infrastructure. The components of each level: types of nodes, protocols, structure of a node are shown and detailed. It also explores the communication interfaces between each component and the relationship of these with the levels defined. The Ad Hoc routing protocol proposed, called Backup Cluster Head Protocol( BCHP), use of cluster and hierarchies like strategies. Each cluster has a cluster head which concentrates the routing information and management and sent to the destination when out of cluster coverage area. To improve the availability of the network protocol uses a Backup Cluster Head who assumes the functions of the node of the cluster when it has a problem. The HAMAN model is validated accross the simulation of their BCHP routing protocol. BCHP protocol has been implemented in the simulation tool Network Simulator 2 (NS2) to be simulated, compared and contrasted with a hierarchical routing protocol Cluster Based Routing Protocol (CBRP) and a routing protocol called Reactive Ad Hoc On Demand Distance Vector Routing (AODV).

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The adaptation to the European Higher Education Area (EHEA) is becoming a great challenge for the University Community, especially for its teaching and research staff, which is involved actively in the teaching-learning process. It is also inducing a paradigm change for lecturers and students. Among the methodologies used for processes of teaching innovation, system thinking plays an important role when working mainly with mind maps, and is focused to highlighting the essence of the knowledge, allowing its visual representation. In this paper, a method for using these mind maps for organizing a particular subject is explained. This organization is completed with the definition of duration, precedence relationships and resources for each of these activities, as well as with their corresponding monitoring. Mind maps are generated by means of the MINDMANAGER package whilst Ms-PROJECT is used for establishing tasks relationships, durations, resources, and monitoring. Summarizing, a procedure and the necessary set of applications for self organizing and managing (timed) scheduled teaching tasks has been described in this paper.

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The adaptation to the European Higher Education Area (EHEA) is becoming a great challenge for the University Community, especially for its teaching and research staff, which is involved actively in the teaching-learning process. It is also inducing a paradigm change for lecturers and students. Among the methodologies used for processes of teaching innovation, system thinking plays an important role when working mainly with mind maps, and is focused to highlighting the essence of the knowledge, allowing its visual representation. In this paper, a method for using these mind maps for organizing a particular subject is explained. This organization is completed with the definition of duration, precedence relationships and resources for each of these activities, as well as with their corresponding monitoring. Mind maps are generated by means of the MINDMANAGER package whilst Ms-PROJECT is used for establishing tasks relationships, durations, resources, and monitoring. Summarizing, a procedure and the necessary set of applications for self organizing and managing (timed) scheduled teaching tasks has been described in this paper