Microwave processing of polymeric adhesives and composites offers great potential for future materials development. However, basic considerations need to be established which will allow the processing of polymeric systems, both as reactive thermosetting systems and as nonreactive thermoplastics. Fundamental studies relating epoxy network generation to processing conditions have been investigated in a tunable, single-mode microwave cavity at a frequency of 2.45 GHz. These studies demonstrate that in as little as ten minutes fully cured networks with good mechanical properties can be generated. Furthermore, toughened epoxy systems which utilize carefully designed amine-terminated poly (arylene ether sulfone) thermoplastics as reactive oligomers have novel phase-separated morphologies. In fact, it has been demonstrated that the morphology in these multiphase systems may actually be controlled by utilizing microwave processing. In addition to epoxy resins, the microwave processing of functionalized poly(arylene ether ketone)s (PEK) has also been demonstrated. PEK's are typically classified as high performance thermoplastics; however, with the appropriate terminal functionalities these ductile thermoplastics may also be transformed into tough, solvent resistant networks. In the current investigation amine-, maleimide- and nadimide-terminated PEK's of controlled molecular weights were synthesized and crosslinked by both electromagnetic radiation (EMR) processing and classical thermal treatments. EMR processing resulted in network formation at rates as high as 20 times faster than conventional thermal treatments at the same isothermal cure temperature. Relationships among processing conditions, curing rates and endgroup functionality were investigated. Novel poly (arylene ether ketone)/poly(aryl imide) homo- and poly (dimethylsiloxane) segmented copolymer blend systems have been investigated to determine the influence of chemical structure on miscibility and physical property behavior. Melt processing results demonstrate that the glass transition temperature of PEEK™ blends increase monotonically with polyimide content. Indeed, T_g'S as high as 240°C have been achieved for certain blend compositions, while still retaining adequate crystallization to provide solvent resistance. The experimental T_g results are in good agreement with the theoretical values predicted by the Fox equation. Lastly, electromagnetic processing was applied to PEEK™/Ultem™ blends to demonstrate the principles of "microwave calorimetry". / Ph. D.

Social network sites (SNSs) have become very popular, with more than 1.39 billion people using Facebook alone. The ability to share large amounts of personal information with these services, such as location traces, photos, and messages, has raised a number of privacy concerns. The popularity of these services has enabled new research directions, allowing researchers to collect large amounts of data from SNSs to gain insight into how people share information, and to identify and resolve issues with such services. There are challenges to conducting such research responsibly, ensuring studies are ethical and protect the privacy of participants, while ensuring research outputs are sustainable and can be reproduced in the future. These challenges motivate the application of a theoretical framework that can be used to understand, identify, and mitigate the privacy impacts of emerging SNSs, and the conduct of ethical SNS studies. In this thesis, we apply Nissenbaum's model of contextual integrity to the study of SNSs. We develop an architecture for conducting privacy-preserving and reproducible SNS studies that upholds the contextual integrity of participants. We apply the architecture to the study of informed consent to show that contextual integrity can be leveraged to improve the acquisition of consent in such studies. We then use contextual integrity to diagnose potential privacy violations in an emerging form of SNS.

This thesis will examine national/multi-national/international research andeducation networks of the some countries in context of innovation systems,and then Turkish case will be discussed. The developed countries are thepioneers of research and education network efforts, developing andundeveloped countries were integrated to the global research networks.Although Turkey has a lot experience in academic networking, its NREN(ULAKNET) should adapt itself to the global trends(i.e. direct fiber access,IP/DWDM networks, very demanding applications like grid), and networkingand supercomputing requirements in national innovation policies should berevised accordingly. Turkey can acquire some benefits from the globalinnovation policies and practices in order to improve its research networkinginfrastructure.

Too many students leave school without even the essential skills (ACT, 2011), and many others are so drained by the experience they lack a desire to continue on to a post-secondary education. Academic engagement has emerged as a construct representing students’ personal investment in school (Greenwood, Delquadri, & Hall, 1984), and may be a psychological variable which can be intervened on. However, interventions must occur as quickly as possible to maximize their efficiency (Heckman, 2007). Students’ peer groups may be a particularly potent venue of intervention, however several options exist for how to go about measuring their social networks. In this thesis, social networking data of the only middle school of a small town in the north-eastern United States is analyzed to determine the properties of two collection methods (self-reported networks and participant observations) and four network identification methods (probability scores, reciprocal nominations, factor-analyses, and rule-based). Analyses overwhelmingly supported participant observations as a more inclusive, less biased data collection method than self-reports. Meanwhile, hypothesis tests were somewhat mixed on the most inclusive, least biased network identification method, but after a consideration of the findings and the structural properties of each network, the probability score method was deemed the most useful network. Implications, future research, strengths, and limitations are discussed.

M.Cur. / The purpose of this study was to do a needs assessment of mothers with their first baby in the postpartum period in respect of community support. Since there are as yet little or no support systems in South Africa, it is important to firstly determine the needs of the mother before these community support systems can be mobilised by the midwife and can function efficiently. Semi-structured questionnaires that were compiled from literature were given on one occasion to mothers with their first baby in the postpartum period at community clinics to complete. These results were then collated to identify the needs of the mothers to thereby mobilise the necessary community support systems, in order to sufficiently support mothers in the postpartum period and thus create a healthier community. Recommendations were made on the application in practice, education, and further research that can be carried out in this field.

Prior research has shown that both lead users and opinion leaders may propel the diffusion of innovation. This raises the question of whether lead users and opinion leaders are positioned similarly in social networks, which we address using a sample of 23 school classes consisting of 537 children. Research among children is very scarce in this particular domain. Our statistical analyses based on hierarchical linear modeling reveal two general results: first, lead users among children appear to possess a variety of links between clusters; second, opinion leaders are locally positioned within clusters of children and have many direct links. (authors' abstract)

Internet-basierte Technologien wie z. B. Social Media Werkzeuge, aber auch ERP-Systeme und Wissensplattformen verändern weiterhin Form und Intensität der Zusammenarbeit in Wirtschaft, Wissenschaft und Bildung bis hin zum privaten (Zusammen-)Leben. Dabei führt die zunehmende Mobilität zu neuen Nutzungsoptionen auch für multimediale Systeme, sei es im Bereich des Gaming oder beim gemeinsamen Gestalten digitaler Produkte. Gerade für die Web 2.0 Technologien gilt: Ziel der Nutzung sind Kommunikation, Kooperation und Kollaboration. Die Nutzer suchen Unterstützung bei täglichen Routineprozessen ebenso wie in nicht alltäglichen Situationen - etwa bei der Erstellung von Inhalten - und schließen sich in Online-Fachgemeinschaften, sogenannten Communities, unterschiedlichster Ausrichtung zusammen. Im Jahr 2012 feiert die GeNeMe das 15. Jubiläum! Der Sammelband zur Tagung „Gemeinschaften in Neuen Medien“ widmet sich 2012 dem Rahmenthema „Communities in New Media: Virtual Enterprises, Research Communities & Social Media Networks“ und enthält Beiträge zu folgenden Themenfeldern: • Konzepte, Technologien und Methoden für Virtuelle Gemeinschaften (VG) & Virtuelle Organisationen (VO), • Mobile and Augmented Life, • Soziale Gemeinschaften (SG) in Neuen Medien, • Wirtschaftliche Aspekte von Gemeinschaften in Neuen Medien, • Lernen, Lehren und Forschen mit dem Web2.0. Alle in den Proceedings publizierten Beiträge wurden mit Hilfe eines anonymisierten Begutachtungsverfahrens auf Basis von mindestens 2 Gutachten aus einem breiten Angebot interessanter und qualitativ hochwertiger Beiträge zu dieser Tagung ausgewählt. Die GeNeMe‘12 richtet sich in gleichem Maße an Wissenschaftler wie auch Praktiker, die sich über den aktuellen Stand der Arbeiten auf dem Gebiet der GeNeMe informieren möchten. *** In der Online-Version ist das Adressverzeichnis (S. 337-355) nicht enthalten, vgl. Sie hierzu die Printausgabe.:Vorwort der Herausgeber S. III A Eingeladene Vorträge A.1 The Role of Creativity in Cooperative Foresight Activities in Living Labs S. 1 B KONZEPTE, TECHNOLOGIEN UND METHODEN FÜR VIRTUELLE GEMEINSCHAFTEN (VG) & VIRTUELLE ORGANISATIONEN (VO) B.1 Anonyme Kommunikation in verteilt organisierten Gitterstrukturen S. 11 B.2 Von kompetenzzellenbasierten Produktionsnetzen lernen - Eine Untersuchung am Beispiel von „Anbietergemeinschaften aus Stromerzeugern und -verbrauchern“ S. 23 B.3 Open Innovation by Opening Embedded Systems S. 33 B.4 Erarbeitung eines Workshopdesigns zur weiteren Ausarbeitung der Ergebnisse einer virtuellen Ideencommunity S. 47 B.5 Berührungssensitive Schnittstellen für Social Software in Entwicklungsprozessen S. 63 B.6 Mobile Reisebegleitung mit NFC-Unterstützung S. 67 B.7 Optimierung des IT-Managements mittels Social Media S. 79 B.8 Ausgestaltung eines Social Media Monitorings S. 91 C SOZIALE GEMEINSCHAFTEN (SG) IN NEUEN MEDIEN C.1 Formen der Kollaboration in Wissensnetzwerken S. 105 C.2 Informations- und Wissensmanagement im Nachhaltigen Landmanagement (IWM im NLM) S. 121 C.3 Barrierefreiheit durch Personalisierung und Kollaboration S. 135 C.4 Als Chef hat man nichts zu lachen – Eine Studie zur Wirkung von durch Führungspersonen genutzten Emoticons in berufsbezogenen Emails S. 145 D WIRTSCHAFTLICHE ASPEKTE D.1 The Knowledge- Based Opole Tourism Cluster (OKTW) as a Network Tool for Organizing the Space and Flow in the Opole Region S. 155 D.2 Das Projekt Q2P - Zentrale Unterstützungsangebote für den Medieneinsatz in der akademischen Weiterbildung S. 169 D.3 Erfolg im Enterprise 2.0: Selbstorganisation und Freiheit gegen vorstrukturierte Planung und Steuerung S. 173 D.4 Fluch oder Segen? – Zum Umgang mit Konflikten in Software-Implementierungsprozessen S. 181 D.5 Warum Facebook Spaß macht: Freudvolles Erleben in sozialen Netzwerkdiensten S. 193 D.6 Nutzung interaktiver Elemente in deutschen Online-Shops S. 207 E LERNEN, LEHREN UND FORSCHEN MIT DEM WEB 2.0 E.1 DialogueMaps: Ein interaktives Dialogwerkzeug für softwaregestützte Wissenslandkarten s. 217 E.2 Untersuchung der Wirksamkeit einer Lernhandlung in einem Blended-Learning-Arrangement in der universitären Ausbildung S. 229 E.3 Gestaltungsmaßnahmen zur Förderung kollaborativer Wiki-Arbeit in der Hochschullehre S. 241 E.4 Digitale Kompetenzen für Wissenschaftler: Anforderungen aus der Perspektive von ELearning und E-Science S. 253 E.5 Identifiers in e-Science platforms for the ecological sciences S. 259 E.6 The Impact of Learning Management System Usage on Cognitive and Affective Performance S. 273 E.7 Adoption, Anpassung oder Abkehr? - Eine Studie zur Nutzung von kollaborativen Web 2.0-Anwendungen durch Studierende S. 285 E.8 Die Etablierung von E-Learning-Szenarien an Gymnasien – ein Pilotprojekt in Sachsen und seine Erkenntnisse S. 299 E.9 Online-Gemeinschaften zur Studienvorbereitung: Eine empirische Studie zu computerbezogenen Einstellungen sächsischer Gymnasialschüler S. 313 E.10 Lernwegsteuerung im E-Learning - ein alter Hut? S. 325

Indiana University-Purdue University Indianapolis (IUPUI) / A wireless sensor network consists of lightweight nodes with a limited power source. They can be used in a variety of environments, especially in environments for which it is impossible to utilize a wired network. They are easy/fast to deploy. Nodes collect data and send it to a processing center (base station) to be analyzed, in order to detect an event and/or determine information/characteristics of the environment. The challenges for securing a sensor network are numerous. Nodes in this network have a limited amount of power, therefore they could be faulty because of a lack of battery power and broadcast faulty information to the network. Moreover, nodes in this network could be prone to different attacks from an adversary who tries to eavesdrop, modify or repeat the data which is collected by other nodes. Nodes may be mobile. There is no possibility of having a fixed infrastructure. Because of the importance of extracting information from the data collected by the sensors in the network there needs to be some level of security to provide trustworthy information. The goal of this thesis is to organize part of the network in an energy efficient manner in order to produce a suitable amount of integrity/security. By making nodes monitor each other in small organized clusters we increase security with a minimal energy cost. To increase the security of the network we use cryptographic techniques such as: public/ private key, manufacturer signature, cluster signature, etc. In addition, nodes monitor each other's activity in the network, we call it a "neighborhood watch" In this case, if a node does not forward data, or modifies it, and other nodes which are in their transmission range can send a claim against that node.

This thesis explores the pedagogical potential of images shared during intra-professional conversations held on the social media platform, Twitter. Twitter chats are loosely synchronous exchanges of tweets sharing a unique, identifying keyword or hashtag. They are increasingly being used among professionals to create professional networks in which practice-knowledge and opinion might be shared and where communal connections may be created. As such, they may serve as sites in which professional learning unfolds, both in relation to workplace practices and in relation to the development of new forms of professional practice around social media use. Because the exchanges and broadcasts on Twitter are, for the most part, public, and the conversations are ongoing, they also provide open, freely-accessible, and constantly renewing resources for use in pre-service learning contexts. The research focused on two example chats, one held among midwives and the other among teachers. Inspired by the increasing use of images in new forms of digital communication, the research used images tweeted during the chats as starting points from which to explore flows of knowledge and affect. Data were generated from observations of the two Twitter chats over extended periods, together with interviews with practising professionals, student professionals and their educators in which images were used as elicitation devices. The research combined an approach to reading and “being with” data inspired by ideas drawn from the work of Deleuze (1994; Williams 2013) and Deleuze and Guattari (1988; Massumi 1992), with approaches to reading images drawn from visual social semiotics (Kress and van Leeuwen 1996). The findings suggest that Twitter chats such as those studied here can provide rich opportunities for professional learning. Practice knowledge can flow from one participant to many others, and flows of affect can be used to remoralize individuals and communities. Both chats seemed to serve as sites in which professionals could experience a positivity and affirmation that was not always available in the workplace. However, the forces and intensities at play in these spaces influence both what is said and what is not said, creating new norms of online interaction that generally seemed to avoid negative comments or open disagreement. Educators saw potential to use images such as those shared in the chats in a variety of ways. For example, images could be used as prompts for examination and critique of practices. The educators I interviewed also suggested that the images could be used to help student professionals develop their sensitivity to the forces and intensities that produce particular practices. Group interviews with student professionals suggested that the former happened spontaneously when students encountered and discussed such images, but that the latter might need deliberate facilitation or prompting. The thesis concludes with some recommendations for: (i) educators considering using such images in pre-service professional learning; (ii) professional developers considering using Twitter chats; and (iii) policy-makers involved in drafting guidelines for professionals’ use of social media.

Made available in DSpace on 2014-07-29T15:08:16Z (GMT). No. of bitstreams: 1 Tese de Kedma Batista Duarte.pdf: 2986348 bytes, checksum: b08f936c5937365d2b7493f4db0f0b88 (MD5) Previous issue date: 2010-12-20 / The Genetic Programming (GP) is a heuristic algorithm for Data Mining (DM), which can be applied to the classification task. This is a method of evolutionary computing inspired in the mechanisms of natural selection theory of Charles Darwin, declared in 1859 in his book "The Origin of Species." From an initial population, the method search over a number of generations to find solutions adapted to the environment of problem. The PG method was proposed in 1990 by John Koza, who demonstrated in one of its applications, the induction in formation of decision trees in the process of data classification. Within this context, the study developed in this work has as main objective the investigation of the concepts of PG and its application on a database of scientific collaboration networks, helping as a management tool in prospective studies of trends for the establishment of common axes in public policy of Science, Technology and Innovation (STI), focusing on regional development. The method is applied on a set of attributes, sorting them in order to identify similarity relationships between groups of researchers that comprise the network. The study involves the concepts of Knowledge Discovery in Databases (KDD) and Data Mining (DM). Networks of Scientific Collaboration, or Networks Research, are inserted in the context of small groups of social networks, the environment is dynamic due to the easy of information exchange and links between individuals, favoring the formation of new groups, which makes the growth of the network unlimited. "The combination of these groups, generated by the relationships between them, appears as a case of multi-criteria decision, granting the application of some complexity. In this sense, it is intended to apply the method of PG for generation of classification rules that lead to the discovery of groups of researchers with similar traits, which in a planned process could be induced to form groups strengthened and consolidated. The study helps to exploit the potential of genetic programming as a classifier algorithm, as well as use it as a method to build tools to support planning and decision making in STI. / A Programação Genética (PG) é um algoritmo heurístico de Mineração de Dados (MD), quepode ser aplicado na tarefa de classificação. Trata-se de um método da Computação Evolutiva inspirado nos mecanismos de seleção natural, da teoria de Charles Darwin, declarada em 1859 em seu livro A Origem das Espécies . A partir de uma população inicial, o método busca ao longo de um conjunto de gerações a descoberta de soluções bem adaptadas ao ambiente do problema. O método de PG foi proposto por John Koza em 1990, que demonstrou em uma de suas aplicações, a indução na formação de árvores de decisão em processos de classificação de dados. Dentro deste contexto, o estudo desenvolvido neste trabalho tem como objetivo principal a investigação dos conceitos de PG e sua aplicação sobre uma base de dados de Redes de Colaboração Científica, auxiliando como ferramenta de gestão em estudos prospectivos de tendências para o estabelecimento de eixos comuns em políticas públicas de Ciência, Tecnologia e Inovação (CT&I), com foco em desenvolvimento regional. O método é aplicado sobre um conjunto de atributos, classificando-os de forma a identificar relações de similaridade entre os grupos de pesquisadores que compõem a rede. O estudo envolve conceitos de Descoberta do Conhecimento em Bases de Dados (DCBD) e Mineração de Dados (MD). As Redes de Colaboração Científica, ou Redes de Pesquisa, estão inseridas no contexto dos pequenos grupos das Redes Sociais, o ambiente é dinâmico devido à facilidade para troca de informações e articulação entre os indivíduos, favorecendo a formação de novos grupos, fato que torna ilimitado o crescimento da Rede. A combinação das características desses grupos, gerada pelos relacionamentos entre eles, configura-se como um caso de decisão multi-critério, dotando a aplicação de certa complexidade. Neste sentido, pretende-se com a aplicação do método da PG a geração de regras de classificação que levem à descoberta de grupos de pesquisadores com características similares, que em um processo planejado poderiam ser induzidos à formação de grupos fortalecidos e consolidados. O estudo contribui no sentido de explorar o potencial da Programação Genética como um algoritmo classificador, bem como, usá-lo como método na construção de ferramentas de apoio ao planejamento e tomada de decisão em CT&I.