27 research outputs found

    Mobile Ad-Hoc Networks

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    Being infrastructure-less and without central administration control, wireless ad-hoc networking is playing a more and more important role in extending the coverage of traditional wireless infrastructure (cellular networks, wireless LAN, etc). This book includes state-of-the-art techniques and solutions for wireless ad-hoc networks. It focuses on the following topics in ad-hoc networks: quality-of-service and video communication, routing protocol and cross-layer design. A few interesting problems about security and delay-tolerant networks are also discussed. This book is targeted to provide network engineers and researchers with design guidelines for large scale wireless ad hoc networks

    Future Transportation

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    Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others

    The mobile life of food and drink packaging

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    PhD ThesisPackaging is a largely neglected object of enquiry in Human Geography and, indeed, the social sciences more broadly. Yet it forms a crucial element of almost all food systems and without such mundane objects these food systems would fail or function very differently. In turn, food systems, which rely on the continuous flow of packaging and food, are vital for enabling our increasingly mobile lives. This thesis thus investigates the multiple mobilities associated with food and drink packaging. The study forms part of a wider ‘mobilities turn’ in the social sciences and is structured in two parts. The first part concentrates primarily on how packaging shapes the movement of food. The second part focuses more on the ways in which packaged food shapes the mobilities of humans. However, both these aspects of packaging’s mobile life are not viewed as separate but rather as entangled and mutually dependent on each other. Throughout the thesis attention is paid to how packaging helps standardise the repetitive and anticipated mobilities of food and humans. It is, in other words, examined as an immutable mobile that ensures the smooth flows of food and people. Thus, in the first part of the thesis it is shown how packaging ensures the smooth flows associated with highly automated, industrialised and safe packaged food production and distribution. It also opens up the mobilities of packaging to elaborate upon the similarly regular and anticipated flows of packaging as raw materials. In the second part of the thesis attention is directed towards the patterns of human mobility that packaged food permits. However, while emphasis is placed on the role of packaging in standardising and stabilising interrelated food and human mobilities across Euclidean spaces, the thesis also begins to interrogate the topological complexities and molecular mobilities of packaging. While packaging can certainly be seen to permit the smooth and relatively unproblematic flows of food and people it may also, and from another theoretical perspective, be viewed as a fluid and vibrant technology. These topologically complex movements of packaging are explored in cases that show its fluid articulation as a barrier which has profound implications for the regulated mobilities of food. The vibrancy of packaging is also examined through its importance for mobile practices and its capacity to affect travellers

    Integrative computational approaches for studying stem cell differentiation and complex diseases

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    The biological functions of the molecular components (genes, proteins, miRNAs, siRNAs,..etc) of biological cells and mutations/perturbations thereof are tightly connected with cellular malfunctions and disease pathways. Moreover, these molecular elements interact with each other forming a complex interwoven regulatory machinery that governs, on one hand, regular cellular pathways, and on the other hand, their dysregulation or malfunction in pathological processes. Therefore, revealing these critical molecular interactions in complex living systems is being considered as one of the major goals of current systems biology. In this dissertation, we introduce practical computational approaches implemented as freely available software tools to integrate heterogeneous sources of large-scale genomic data and unravel the combinatorial regulatory interactions between different molecular elements. First, we present an automated GRN pipeline that constructs the genomic regulatory machinery of a cell from expression, sequencing, and annotation datasets through three modules implemented as separated software components (plugins) and hosted by our software framework Mebitoo that aims at automation of bioinformatics workflows. Then, we extended this pipeline to a general integrative network-based approach that involves also post-transcriptional interactions and reports the computational analysis of gene and miRNA transcriptomes, DNA methylome, and somatic mutations. This workflow enables users to identify putative disease drivers and novel targets for therapeutic treatment. Regarding the incorporation of somatic mutations with other genomic data sets, a stand-alone pipeline named “SnvDMiR” was implemented to explore possible genomic proximity relationships between somatic variants and both differentially methylated CpG sites as well as differentially expressed miRNAs. Along the same lines, but targeting the effects of genomic mutations, we developed an NGS pipeline and applied it to two groups of bacterial isolates (nasal and invasive) to investigate the phylogenetic positions of the recently emerged t504 clone (Spa-type t504) in the Saarland province of Germany and to better understand the infectivity mechanism of the invasive group. Motivated by all of this, we developed TFmiR as a freely available web server for deep and integrative downstream analysis of combinatorial regulatory interactions between TFs/genes and miRNAs that are involved in the pathogenesis of human diseases. In the frame of this thesis, we employed these approaches to investigate the molecular mechanisms of cellular differentiation (namely hematopoiesis) as an example for biological processes and human breast cancer and diabetes as examples for complex diseases. In summary, the work presented in this thesis has led to the development of interesting computational approaches that have been made available as non-commercial software toolkits. The provided topological and functional analyses of our approaches as validated on cellular differentiation and complex diseases promotes them as reliable systems biology tools for researchers across the life science communities.Die Funktionsweise verschiedener molekularer Elemente (Gene, Proteine, Mutationen, miRNAs, siRNAs,... etc.) ist mit den darunterliegenden zellulĂ€ren Fehlfunktionen als auch mit Krankheits-assoziierten zellulĂ€ren Signalwegen verknĂŒpft. DarĂŒber hinaus interagieren diese molekularen Elemente auch miteinander und bilden eine komplexe ineinander verwobene regulatorische Maschinerie, die wiederum zellulĂ€re Signalwege oder auch Krankheitsentwicklungen auf zellulĂ€rer Ebene beeinflusst. Aufgrund dessen ist heutzutage die AufklĂ€rung dieser molekularen Interaktionen in komplexen lebenden Systemen eines der Hauptziele der Systembiologie. In dieser Dissertation stellen wir rechnerbasierte AnsĂ€tze vor welche als Software frei verfĂŒgbar sind und die Integration von großen genomischen DatensĂ€tzen als auch eine damit verbundene AufklĂ€rung der kombinatorischen Vielfalt dieser regulatorischen Interaktionen zwischen den verschiedenen molekularen Elementen, ermöglichten. DafĂŒr entwickelten wir anfangs eine automatisierte GRN Pipeline, welche die regulatorische Maschinerie einer Zelle auf der Grundlage von Daten zur Genexpression, ĂŒber Sequenzierung als auch Annotierung von DatensĂ€tzen konstruiert. Diese Pipeline wurde in drei separate Module aufgeteilt, die alle als Software plugins verfĂŒgbar sind, und in unser Framework Mebitoo, welches bioinformatische ArbeitsablĂ€ufe automatisiert, integriert sind. Daraufhin erweiterten wir unser bisheriges Framework um einem allgemeinen und integrativen Netzwerk-basierten Ansatz, welcher post-transkriptionelle Interaktionen berĂŒcksichtigt und die rechnerbasierte Analyse von Genen als auch miRNA Transkriptomen, dem DNA Methylom und somatischen Mutationen mit einbezieht. Unser Ziel war es, dabei vermeintliche Verursacher von Krankheitsbildern als auch neue Ziele fĂŒr die therapeutische Behandlung von Krankheiten zu identifizieren. FĂŒr die Integration somatischer Mutationen wurde eine eigenstĂ€ndige Pipeline namens „SnvDMiR“ entwickelt, welche die Analyse von möglichen genomischen Nachbarschaftsbeziehungen zwischen somatischen Mutationen und differentiell methylierten CpG Positionen als auch differentiell exprimierten miRNAs, ermöglicht. FĂŒr die Analyse von somatischen Mutationen entwickelten wir zudem eine NGS Pipeline und wendeten diese auf zwei unterschiedliche Gruppen von bakteriellen Isolaten (nasale und invasive) an, um einerseits die phylogenetische Position des kĂŒrzlich im Saarland aufgekommenen Klons t504 (Spa-type t504) zu untersuchen, aber auch um den Mechanismus, der zu einer Infektion durch invasive StĂ€mme fĂŒhrt, besser zu verstehen. All dies motivierte uns dazu TFmiR als frei verfĂŒgbare Web-Applikation zu entwickeln, welche eine tief gehende integrative Analyse von den kombinatorischen regulatorischen Interaktionen zwischen TFs/Genen und miRNAs ermöglicht, die an der Krankheitsentwicklung im Menschen beteiligt sind. Die entwickelten Methoden wurden auf die zellulĂ€re Differenzierung (HĂ€matopoese), als Beispiel fĂŒr einen biologischen Prozess, als auch auf Brustkrebs und Diabetes, als Beispiele fĂŒr komplexe Krankheiten, angewendet um deren molekulare Mechanismen zu untersuchen. Zusammenfassend hat diese Arbeit zur Entwicklung von interessanten, rechnergestĂŒtzten Methoden gefĂŒhrt, welche als nicht-kommerzielle Software publiziert wurden. Die Validierung unserer Methoden anhand von topologischen und funktionsbasierten Analysen sowohl in zellulĂ€rer Differenzierung als auch komplexen Krankheiten, machen diese zu verlĂ€sslichen systembiologischen Werkzeugen fĂŒr Wissenschaftler aus den unterschiedlichsten Naturwissenschaftsbereichen
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