Master of Science / Department of Industrial & Manufacturing Systems Engineering / Jessica L. Heier Stamm / Communication is an integral part of emergency response, and improving the information dissemination network for crisis communication can save time, resources, and lives. This thesis focuses specifically on emergency response to a foreign animal disease (FAD) outbreak, an incident in which an animal disease that is not active domestically is introduced and being spreading in the U.S. In a FAD outbreak, timeliness of detection and response are critical. An outbreak of foot-and-mouth disease, a particularly significant FAD, could cripple the agriculture economy and every hour of poor communication could result in the loss of thousands of animals. Improving this and other such crisis communication networks is of high importance. There is a comparatively large amount of prior research that critiques past catastrophic events but very little that aims to quantitatively improve such networks. This research uses communication data from a FAD response exercise in Kansas to develop a reliable network model, contributing a general method for creating an information dissemination network from empirical communication data. The thesis then introduces a simulated annealing heuristic to alter the network structure, reducing the overall information transmission time by almost 90%. Both the application of simulated annealing in network design and the use of discrete event simulation to calculate the heuristic objective function are new contributions to the field of crisis communication and emergency response. This work begins by extracting data from communication logs, grouping the large numbers of stakeholders into more manageable clusters, and developing a simulation model framework that accurately depicts the flow of information in the actual network. Then a simulated annealing heuristic is used to alter the network structure. The goal is to identify an alternative network structure in which the time for information to reach all response participants is minimized. The resultant network structures are analyzed to reveal observations and recommendations for FAD response communication. This research finds that not only can such a network be improved significantly, but the quantitative results support the qualitative observations from early in the data extraction process. This paper adds original methods to the literature and opens the door for future quantitative work in the area of crisis communication and emergency response.

<p>Abstract</p><p>As online social network services are becoming one of the dominant media channels the importance of disseminating messages through them is of high importance for governments, organizations, companies etc. The online social network services are several and changes rapidly as they grow and evolve. Being networks, the services give the user the tools to send, as well as receive text and information. This proposes us with yet another obstacle in communication via online social network services since sender and receiver merges together.</p><p>Online social network services and the Blogosphere, which essentially also is a network, exist in the context of Web 2.0. The crucial feature of Web 2.0 is to a large degree the harnessing of collective intelligence i.e. the collection of individual knowledge and information. Many of the tools and sites within Web 2.0 are therefore of a network structure, hence further stressing the importance to communicate via networks in general.</p><p>Network Analysis is the discipline through which we can see and understand the larger patterns of networks. In this thesis I have looked into three key concepts of Network Analysis; Weak Links, Growth and Preferential Attachment. I have found that we can use the knowledge of Network Analysis to disseminate messages via online social network services since it provides us with the raw structures of how networks tend to grow, and how messages tend to disseminate.</p><p>Title: Web 2.0 and Network Society – PR and Communication: The Challenge of Online Social Networks</p><p>Number of pages: 34</p><p>Author: Max Tandefelt</p><p>Tutor: Else Nygren</p><p>Course: Media and Communication Studies C</p><p>Period: HT 07</p><p>University: Division of Media and Communication, Department of Information Science, Uppsala University.</p><p>Purpose/Aim: Facilitate message dissemination through online social network services, as they are becoming one of the dominant media channels</p><p>Material/Method: Network Analysis</p><p>Main results: I have presented crucial concepts of Network Analysis that can be used for message dissemination via online social network services</p><p>Keywords: Online Social Network Services, Network Analysis, Web 2.0, Message Dissemination</p>

The high prevalence of back and neck pain results in enormous social, psychological, and economic burden. Most seeking help for back or neck pain consult general practitioners or chiropractors. Chiropractic is a regulated health profession (serving approximately 10 – 15% of the population) that has contributed to the health and well-being of North Americans for over a century. Despite available evidence for optimal management of back and neck pain, poor adherences to guidelines and wide variations in services have been noted. For instance, overuse and misuse of imaging services have been reported in the chiropractic literature. Inappropriate use of spine imaging has a number of potential adverse outcomes, including inefficient and potentially inappropriate invasive diagnosis and subsequent treatment, and unnecessary patient exposure to ionizing radiation. Although evidence-based diagnostic imaging guidelines for spinal disorders are available, chiropractors are divided on whether these guidelines apply to them. While guidelines can encourage practitioners to conform to best practices and lead to improvements in care, reviews have demonstrated that dissemination of guidelines alone is rarely sufficient to optimise care. Evidence regarding effective methods to promote the uptake of guidelines is still lacking. There is growing acceptance that problem analysis and development of interventions to change practice should be guided by relevant theories and tailored to the target audience. To date, very little knowledge translation research has addressed research-practice gaps in chiropractic. This thesis reports rigorous methods to: (1) assess practice and providers’ characteristics, (2) determine baseline rates and variations in spine x-ray ordering, (3) evaluate the impact of disseminating guidelines to optimise spine x-ray ordering, and (4) assess determinants of spine x-ray ordering and potential targets for change prior to the design of a tailored intervention. A mixed method using two disciplinary perspectives (epidemiology and psychology) was undertaken. A cross-sectional analysis of administrative claims data was carried out on a sample of chiropractors enlisted in a large American provider network. Despite available clinical practice guidelines, wide geographical variations in x-ray use persist. Higher x-ray ordering rates were associated with practice location (Midwest and South US census regions), setting (urban, suburban), chiropractic school attended, male provider, employment, and years in practice. The impact of web-based guideline dissemination was evaluated over a five year period using interrupted time series and demonstrated a stepwise relative reduction of 5.3% in the use of x-rays. Passive guidelines dissemination appeared to be a simple, cost effective strategy in this setting to improve but not optimise x-ray ordering rates. Focus groups using the theoretical domains framework were conducted among Canadian and US chiropractors to explore their beliefs about managing back pain without x-rays. Findings were used to develop a theory-based survey to identify theoretical constructs predicting spine x-ray ordering practice. Psychological theories and theoretical constructs explained a significant portion of the variance in both behavioural simulation and intention. Results from this thesis provide an empirically-supported, theoretical basis to design quality improvement strategies to increase guidelines adherence and promote behaviour change in chiropractic. Other researchers interested in improving uptake of evidenced-based information could use this method in their own setting to investigate determinants of behaviour among other professional groups. Future research may use knowledge gained to inform the development and evaluation of a theory-based tailored intervention to improve guideline adherence and reduce the use of spine x-rays among targeted providers.

The need to provide effective Cognitive Behavioural Therapy (CBT) treatments in routine clinical practice necessitates effective methods of CBT training, which are scalable and can be disseminated in populations without ready access to specialist trainers or large scale funding. This thesis seeks to add theoretical and empirical guidance to the development of evidence-based CBT training. The first chapter reviews the current literature on effective CBT training, and suggests theoretical and methodological guidance for future research on evidence-based training practices. Cohort studies (Chapters 2 – 4) examine data from former trainees for guidance on accurate CBT competence measurement and effective CBT training components. The fifth and sixth chapters report randomised-controlled trials examining the effects of internet-based training (IBT) on therapists’ competence and patient outcomes (Chapter 6). Findings from the literature review (Chapter 1) and Chapter 2 suggested the need for training effectiveness trials using treatment trial methodology, which includes ‘blind’ observer ratings of therapist behaviour as the measure of competence. Chapter 3 found that extensive training led to significant improvement in competence for trainees with a range of individual baseline characteristics. Since such extensive training is not accessible to the majority of practicing therapists, Chapter 4 examined which elements of extensive training were perceived by trainees as having the greatest positive effect on competence; thus providing empirical guidance in planning more scalable forms of training, such as IBT. Findings from the first four chapters provided guidance in planning the two randomised controlled trials outlined in Chapters 5 and 6, resulting in rigorous empirical data showing significant positive effects of IBT on therapists’ competence and on their patients’ clinical outcomes. Finally, the results of this thesis are related to the framework for developing evidence-based training, which was suggested in Chapter 1 and suggestions for future research are made.

Data dissemination problem is a challenging issue in social networks, especially in mobile social networks, which grows rapidly in recent years worldwide with a significant increasing number of hand-on mobile devices such as smart phones and pads. Short-range radio communications equipped in mobile devices enable mobile users to access their interested contents not only from access points of Internet but also from other mobile users. Through proper data dissemination among mobile users, the bandwidth of the short-range communications can be better utilized and alleviate the stress on the bandwidth of the cellular networks. In this dissertation proposal, data dissemination problem in mobile social networks is studied. Before data dissemination emerges in the research of mobile social networks, routing protocol of finding efficient routing path in mobile social networks was the focus, which later became the pavement for the study of the efficient data dissemination. Data dissemination priorities on packet dissemination from multiple sources to multiple destinations while routing protocol simply focus on finding routing path between two ends in the networks. The first works in the literature of data dissemination problem were based on the modification and improvement of routing protocols in mobile social networks. Therefore, we first studied and proposed a prediction-based routing protocol in delay tolerant networks. Delay tolerant network appears earlier than mobile social networks. With respect to delay tolerant networks, mobile social networks also consider social patterns as well as mobility patterns. In our work, we simply come up with the prediction-based routing protocol through analysis of user mobility patterns. We can also apply our proposed protocol in mobile social networks. Secondly, in literature, efficient data dissemination schemes are proposed to improve the data dissemination ratio and with reasonable overhead in the networks. However, the overhead may be not well controlled in the existing works. A social-aware data dissemination scheme is proposed in this dissertation proposal to study efficient data dissemination problem with controlled overhead in mobile social networks. The data dissemination scheme is based on the study on both mobility patterns and social patterns of mobile social networks. Thirdly, in real world cases, an efficient data dissemination in mobile social networks can never be realized if mobile users are selfish, which is true unfortunately in fact. Therefore, how to strengthen nodal cooperation for data dissemination is studied and a credit-based incentive data dissemination protocol is also proposed in this dissertation. Data dissemination problem was primarily researched on mobile social networks. When consider large social networks like online social networks, another similar problem was researched, namely, information diffusion problem. One specific problem is influence maximization problem in online social networks, which maximize the result of information diffusion process. In this dissertation proposal, we proposed a new information diffusion model, namely, sustaining cascading (SC) model to study the influence maximization problem and based on the SC model, we further plan our research work on the information diffusion problem aiming at minimizing the influence diffusion time with subject to an estimated influence coverage.

While knowledge is one of an organization’s greatest assets, it remains a challenge to facilitate knowledge transfer between people within an organization. Social influence has been studied in its role of facilitating information diffusion, which is necessary for knowledge transfer to occur. Among this research, tie strength, a quantifiable characteristic of a social network that determines the link between two nodes, has been measured to determine the impact of social influence on knowledge transfer and information dissemination within a social network. Current research that explores the impact of social influence on information diffusion has been conducted within public social networks due to the availability of data that can be gathered from public social online network systems, such as Facebook. With the emergence of collaboration technologies that exist in online social network tools being utilized within organizations, there is an opportunity to digitally collect information regarding information dissemination within a collaborative network. This study captured data from an online social network, specifically a unified communication tool, being used within a collaborative social network at a mid-sized South Central corporation. A content analysis of Lync messages for 1,749 connections was performed to quantitatively measure the influence of tie strength on information dissemination within a collaborative social network. The results demonstrated that tie strength had a significant impact on information dissemination using a collaborative system. Multivariate analysis of variance showed that tie strength had the largest impact on information dissemination using the instant messaging modality of a collaboration system.

Identification of evidence-based treatments (EBTs) has been an important development; however recently, some shortcomings of the approach have been highlighted. These complexities have led to a surge in transportability research in mental health services science with goals of identifying needed strategies to encourage the adoption of innovations. The mental health system ecological (MHSE) model is an approach necessary to assist with closing this gap effectively as it integrates mental health contexts: client-level, provider-level, intervention-specific, service delivery, organizational, and service system characteristics. The aim of this study is to use the MHSE model to examine perspectives of mental health stakeholders on their needs. Data consists of qualitative transcripts from parent, therapist, and administrator interviews/focus groups. Mixed methods were used to develop and analyze codes according to the MHSE model. Results suggested that stakeholder groups mentioned needs relevant to the group of interest and thus have implications for future dissemination efforts.

Doctor of Philosophy / Department of Plant Pathology / James Stack / The trade of food, plant, and animal products has increased the worldwide movement and establishment of exotic pathogens with dramatic negative impacts on plant systems. Fusarium proliferatum is a broad host-range pathogen and among the most common maize pathogens globally. It is often seed-borne and symptomless in maize, making it a high risk for introduction in maize and other grains. Considering the global distribution of maize and the wide host range and production of mycotoxins by F. proliferatum, a better understanding of its life history is needed. To provide markers for tracking F. proliferatum in laboratory experiments, strains of F. proliferatum were transformed to express a green fluorescent protein (GFP). Active dispersal (at least 1.5cm at 25°C and -50mb soil matric potential) and colonization of organic matter in nonsterile field soil was demonstrated in soil microcosms. Fusarium verticillioides is commonly isolated from maize seed also colonized by F. proliferatum. A red fluorescent (mRFP) F. verticillioides transformant was developed to study competition with F. proliferatum. For quantification in host tissues, a TaqMan multiplex qPCR protocol was developed using primer and probe sets targeting fragments of the green and red fluorescence genes to detect F. proliferatum and F. verticillioides, respectively. Prior colonization of maize tissues by F. verticillioides (p=0.6749) and other seed-borne microorganisms (p=0.1910) did not affect subsequent colonization by F. proliferatum. Genotyping-by-sequencing (GBS) was used to identify genetic markers in F. proliferatum. Primer sets based GBS markers were designed to allow detection of specific isolates in field experiments. F. proliferatum populations were characterized from maize seed prior to planting and again after harvest. End-point PCR identified F. proliferatum isolates containing the GBS marker. AFLP-fingerprinting indicated that 23 of the 817 F. proliferatum isolates contained the molecular marker and were genetically related to the original isolate. Based on the subclade and percentage similarity in UPGMA phylogenetic trees, and the population grouping observed in STRUCTURE and Principal Coordinate Analysis, these isolates could have a single origin and be clonal. Understanding the life cycle of F. proliferatum is critical for learning more about the risk of introducing seed-borne exotic isolates into new environments.

Treponema pallidum ssp. pallidum is the causative agent of syphilis, a sexually transmitted infection characterized by multi-stage disease and diverse clinical manifestations. Treponema pallidum undergoes rapid vascular dissemination to penetrate tissue, placental, and blood-brain barriers and gain access to distant tissue and organ sites. The rapidity and extent of T. pallidum dissemination is well documented, but the molecular mechanisms that underlie this process have yet to be fully elucidated. Tp0751 is a T. pallidum adhesin that interacts with vascular factors and mediates adherence to endothelial cells under shear flow. This dissertation explores the molecular interactions and functional outcomes of Tp0751-mediated vascular endothelium adhesion. The findings presented herein demonstrate that recombinant Tp0751 adheres to human macrovascular and microvascular endothelial cells, including cerebral brain endothelial cells. This interaction is confirmed using live T. pallidum, where spirochete- endothelial cells interactions are disrupted with Tp0751-specific antiserum. Further, the 67 kDa laminin receptor (LamR) is identified as an endothelial receptor using affinity chromatography coupled with mass spectrometry to isolate and identify Tp0751-interacting proteins from endothelial cells membrane extracts. Notably, LamR is a brain endothelial cell receptor for other neurotropic invasive pathogens. Evaluation of endothelial intercellular junctions reveals that recombinant Tp0751 and live T. pallidum disrupt junctional architecture. However, transwell solute flux assays reveal that Tp0751 and T. pallidum do not alter endothelial barrier integrity. The transendothelial migration of T. pallidum can be partially abrogated with an endocytosis inhibitor, implying a transcellular route for barrier traversal. However, a subpopulation of T. pallidum localizes to intercellular junctions, indicating paracellular traversal may also be employed. These findings enhance our understanding of the mechanics of T. pallidum attachment to endothelial cells and suggest that T. pallidum may use both paracellular and transcellular mechanisms to traverse the vascular endothelium without altering barrier permeability. A more complete understanding of this process will facilitate vaccine development for syphilis. / Graduate / 2020-06-18

A presente pesquisa tem como objetivo identificar os diferentes significados associados à palavra ecossistema nos posts dos blogs de divulgação científica do site ScienceBlogs Brasil. Para isto, utilizou-se o referencial bakhtiniano de linguagem e a metodologia da análise de conteúdo de Bardin para analisar os posts publicados entre os anos de 2012 e 2014 em todos os blogs do site. Como resultado, identificou-se quatro Categorias de Significado: Conjunto de seres vivos; Interações bióticas, abióticas e evolutivas; Interações Ser humano-Ecossistema e Interações Sociais e Tecnológicas. A categoria \"Interações Ser humano-ecossistema\" é a mais frequente, aparecendo em 50% das publicações. \"Interações bióticas, abióticas e evolutivas\" é a segunda categoria mais frequente, englobando 31% dos posts analisados. Já as categorias \"Conjunto de seres vivos\" e \"Interações Sociais e Tecnológicas\" foram identificadas em 12% dos posts analisados cada uma. Deste modo, os resultados mostram uma diversidade de significados associados à palavra ecossistema. Tendo isto em vista, caso o professor utilize os posts como ferramenta pedagógica no ensino de ecologia, ele deve selecionar aqueles posts que mais se ajustem aos seus objetivos e mais se aproximem do(s) significado(s) que pretende ensinar aos seus alunos. Além disto, o trabalho também sugere que sejam analisados os significados da palavra ecossistema nos livros didáticos, de modo a identificar as possíveis contribuições dos materiais de divulgação científica aqui analisados, frente aos materiais tradicionalmente utilizados nas escolas. / This research aims to identify and categorize the different meanings associated with the word ecosystem in posts of popular science blogs of the site ScienceBlogs Brazil. For this, we used the bakhtinian referential of language and the methodology of content analysis of Bardin to analyze the posts published between the years 2012 and 2014 in all blogs on the site. As a result, we identified four Meaning Categories: Set of living beings; Biotic, Abiotic and Evolutionary Interactions; Interactions Human-Ecosystem and Social and Technological Interactions. The \"Interactions Human-ecosystem\" is the most common, appearing in 50% of the publications. \"Biotic, Abiotic and Evolutionary Interactions\" is the second category most frequent, encompassing 31% of the analyzed posts. The categories \"Set of living beings\" and \"Social and Technology Interactions\" have been identified in 12% of the posts analyzed each. Thus, the results reveals various meanings associated with the word ecosystem. With this in mind, if the teacher uses the posts as a pedagogical tool in ecology education, he should select those posts that best fit their goals and become closest to the meaning(s) that he wants to teach his students. In addition, the work also suggests that the meanings of the word ecosystem be analyzed in textbooks, to identify the possible contributions of science communication materials reviewed here, compared to materials traditionally used in schools