Consensus pattern problem (CPP) aims at finding conserved regions, or motifs, in unaligned sequences. This problem is NP-hard under various scoring schemes. To solve this problem for protein sequences more efficiently,a new scoring scheme and a randomized algorithm based on substitution matrix are proposed here. Any practical solutions to a bioinformatics problem must observe twoprinciples: (1) the problem that it solves accurately describes the real problem; in CPP, this requires the scoring scheme be able to distinguisha real motif from background; (2) it provides an efficient algorithmto solve the mathematical problem. A key question in protein motif-finding is how to determine the motif length. One problem in EM algorithms to solve CPP is how to find good startingpoints to reach the global optimum. These two questions were both well addressed under this scoring scheme,which made the randomized algorithm both fast and accurate in practice. A software, COPIA (COnsensus Pattern Identification and Analysis),has been developed implementing this algorithm. Experiments using sequences from the von Willebrand factor (vWF)familyshowed that it worked well on finding multiple motifs and repeats. COPIA's ability to find repeats makes it also useful in illustrating the internal structures of multidomain proteins. Comparative studies using several groups of protein sequences demonstrated that COPIA performed better than the commonly used motif-finding programs.

The scale of the affordable housing problem in Canada is enormous and the situation is worsening due to a number of recent social trends. Continued wealth inequality, an aging population, increased immigration, changing marriage and independence trends, and increased part-time employment, have all contributed to a growing affordable housing problem in Canada. Certain groups such as single parents, recent immigrants, seniors living alone and tourism/seasonal workers are particularly vulnerable. In Canada, cities and tourism-based communities have the most pronounced affordable housing shortages, and this is expected to continue in the future. New and innovative methods of public participation are needed in dealing with the challenges of affordable housing development. Spatial information technology such as Internet-based collaborative geospatial software aims to improve the public participation process. This technology is able to use the Internet, spatial data and carefully designed interfaces in order to engage citizens and increase community participation for difficult planning problems such as affordable housing development. This thesis focuses on three objectives. The first objective is to define a collaborative, spatially-aware approach to create and assess affordable housing options in Collingwood, Ontario. This approach will use existing spatial data, participants with a vested interest in affordable housing, and an open source geospatial software tool called MapChat. The second objective is to implement the defined approach in a real-world setting in order to generate participatory input. The third and final thesis objective is to examine the spatial patterns of existing affordable housing and the locations generated in the study to determine sites that are most suitable for future affordable housing development in Collingwood. The results of the thesis show that the approach used provides a proof of concept in the use of Internet-based collaborative geospatial software that can be applied to any town in Canada. Although the approach involved a modest study design, it was able to offer a number of potential advances in planning the locations of future affordable housing. The approach was successful in creating a set of potential affordable housing options, was effective in assessing those scenarios and was feasible to implement in a real-world setting. In addition, the approach had high potential in the generation and management of information and in supporting community participation and empowerment.

Over the past few years, there has been a renewed interest in the consensus problem for ensembles of partitions. Recent work is primarily motivated by the developments in the area of combining multiple supervised learners. Unlike the consensus of supervised classifications, the consensus of data partitions is a challenging problem due to the lack of globally defined cluster labels and to the inherent difficulty of data clustering as an unsupervised learning problem. Moreover, the true number of clusters may be unknown. A fundamental goal of consensus methods for partitions is to obtain an optimal summary of an ensemble and to discover a cluster structure with accuracy and robustness exceeding those of the individual ensemble partitions. The quality of the consensus partitions highly depends on the ensemble generation mechanism and on the suitability of the consensus method for combining the generated ensemble. Typically, consensus methods derive an ensemble representation that is used as the basis for extracting the consensus partition. Most ensemble representations circumvent the labeling problem. On the other hand, voting-based methods establish direct parallels with consensus methods for supervised classifications, by seeking an optimal relabeling of the ensemble partitions and deriving an ensemble representation consisting of a central aggregated partition. An important element of the voting-based aggregation problem is the pairwise relabeling of an ensemble partition with respect to a representative partition of the ensemble, which is refered to here as the voting problem. The voting problem is commonly formulated as a weighted bipartite matching problem. In this dissertation, a general theoretical framework for the voting problem as a multi-response regression problem is proposed. The problem is formulated as seeking to estimate the uncertainties associated with the assignments of the objects to the representative clusters, given their assignments to the clusters of an ensemble partition. A new voting scheme, referred to as cumulative voting, is derived as a special instance of the proposed regression formulation corresponding to fitting a linear model by least squares estimation. The proposed formulation reveals the close relationships between the underlying loss functions of the cumulative voting and bipartite matching schemes. A useful feature of the proposed framework is that it can be applied to model substantial variability between partitions, such as a variable number of clusters. A general aggregation algorithm with variants corresponding to cumulative voting and bipartite matching is applied and a simulation-based analysis is presented to compare the suitability of each scheme to different ensemble generation mechanisms. The bipartite matching is found to be more suitable than cumulative voting for a particular generation model, whereby each ensemble partition is generated as a noisy permutation of an underlying labeling, according to a probability of error. For ensembles with a variable number of clusters, it is proposed that the aggregated partition be viewed as an estimated distributional representation of the ensemble, on the basis of which, a criterion may be defined to seek an optimally compressed consensus partition. The properties and features of the proposed cumulative voting scheme are studied. In particular, the relationship between cumulative voting and the well-known co-association matrix is highlighted. Furthermore, an adaptive aggregation algorithm that is suited for the cumulative voting scheme is proposed. The algorithm aims at selecting the initial reference partition and the aggregation sequence of the ensemble partitions the loss of mutual information associated with the aggregated partition is minimized. In order to subsequently extract the final consensus partition, an efficient agglomerative algorithm is developed. The algorithm merges the aggregated clusters such that the maximum amount of information is preserved. Furthermore, it allows the optimal number of consensus clusters to be estimated. An empirical study using several artificial and real-world datasets demonstrates that the proposed cumulative voting scheme leads to discovering substantially more accurate consensus partitions compared to bipartite matching, in the case of ensembles with a relatively large or a variable number of clusters. Compared to other recent consensus methods, the proposed method is found to be comparable with or better than the best performing methods. Moreover, accurate estimates of the true number of clusters are often achieved using cumulative voting, whereas consistently poor estimates are achieved based on bipartite matching. The empirical evidence demonstrates that the bipartite matching scheme is not suitable for these types of ensembles.

When the population is getting older, the need for complex care and nursing interventions in elderly care increases. To create a holistic view of the elder and their life situation, interprofessional team collaboration is often desirable and necessary. Teamwork is often described in positive terms, but previous research has shown that this work method is complicated and requires constant reflection and development. The purpose of this study was to investigate how elderly care teamwork is formed in the interaction between representatives of different professionals. To accomplish this purpose, we have studied how the team members define a well-functioning teamwork and difficulties, and how consensus is achieved in the team. This qualitative case-study combines observation and semi-structured interviews with five informants from different professions working together in an elderly care team: one manager, one assistance case worker, one nurse, one physiotherapist and one of the nursing staff. The results of the study were then analyzed with the terms domain consensus and domain conflict taken from the new institutionalism. The study shows that the informants define a well-functioning teamwork as a work method where openness and mutual respect towards each other’s competence, creates a better holistic view of the elder and their needs. The informants also present teamwork difficulties as disagreements and gabble. The study finally suggests that there is a consensus regarding teamwork goals, and regarding who is entitled to claim knowledge in the different fields of the working area. / I takt med en åldrande befolkning ökar också behovet av komplexa vård- och omsorgsinsatser inom äldreomsorgen. Detta leder till att interprofessionell teamsamverkan i många fall är önskvärd och nödvändig för att skapa en helhetssyn över den äldre och dennes livssituation. Teamarbete beskrivs ofta i positiva ordalag, men tidigare forskning har visat att detta arbetssätt är komplicerat och kräver ständig reflektion och utveckling. Vårt syfte med denna studie har varit att studera hur teamarbete i äldreomsorgen formas i samspelet mellan representanter av olika yrkesgrupper. För att uppnå detta syfte har vi studerat hur teamets aktörer definierar ett väl fungerande teamarbete och svårigheter, samt på vilket sätt det råder samförstånd i teamet. Vi har genomfört en kvalitativ fallstudie där vi genom observation och fem intervjuer med yrkesgrupperna enhetschef, biståndshandläggare, sjuksköterska, sjukgymnast och undersköterska har studerat ett team inom äldreomsorgen. Studiens resultat analyserades sedan utifrån begreppen domänkonsensus och domänkonflikt hämtade ur den nyinstitutionella teorin. Studien visar att informanterna definierar ett väl fungerande teamarbete som ett arbetssätt där öppenhet och respekt gentemot varandras kompetenser bidrar till en ökad helhetssyn över den äldre och dennes behov. Informanterna beskrev i sina intervjuer även att svårigheter i form av meningsskiljaktigheter och ”kackel” kan förekomma. Studien visar slutligen att det råder samförstånd gällande teamarbetets mål, samt gällande vem som har rätt att göra anspråk på de olika kunskaperna inom verksamhetsområdet.

This thesis aims at investigating the conflict development of Swedish foreign policy debates during 1989-2000. It is rather assumed that the Swedish foreign policy debates have been highly characterized by a large consensus. Despite that, there have been certain occurrences where the political parties have flushed into party struggle and shown disagreements over the party frontiers. This has raised questions about the range of conflict and consensus in such debates where I have studied the political parties' backchats. I have studied situations where the political parties replicate each other in order to investigate the range of consensus and controversy that exists within different foreign policy areas. The purpose has been to determine if Swedish foreign policy has undergone substantial changes during the 1990s and transformed into a more conflict-ridden foreign policy in contrast to earlier post-war era. The empirical analysis reveals that the foreign policy of Sweden has undergone minor changes over time. The period of 1990s consists of a larger amount consensus than conflict and more controversy within internationalistic issues instead of national interests issues during the post-war era. The parties that are most given to politicize within different foreign policy issues are the Social Democrats, the Moderate Party and the Left-wing Party during the 1990s.

The accuracy of target location and the coverage range of sensor network are two factors that affect each other in target tracking. When the flocking sensor network has a larger coverage area, it can increase the range of detecting target and the scope of environmental information. The network can also pass the information to a query source or other sensors which do not belong to the flocking network. However, the accuracy of measurements at sensors may be affected by the distances between the target and the sensors. We use mobile sensors as agents in flocking algorithm for target tracking. Every mobile sensor exchanges information with its neighbors, and keeps an appropriate separation distance with neighbors to maintain flocking. Flocking algorithm is a distributed control method for mobile sensor which can catch up the target and maintain flocking formation. In the thesis, we derive the cost function based on the accuracy of target positioning and range coverage. The proposed adaptive flocking algorithm combines the amount of information and the distance changes between neighbors based on the cost function. Each mobile sensor adaptively adjusts distance separation with all its neighbors within communication range. Sensors closer to the target shortens the separation distance between neighbors, therefore they will move toward the target and obtain better measurement. Kalman-consensus information filter is used for target positioning. The accuracy of target position can therefore be improved in the overall network. On the other hand, the sensors located far from the target will widen the distance separation between neighbors to expand the overall network area. In the thesis, we use Kalman-consensus information filter to estimate the state of a target, and use adaptive flocking algorithm for maintaining the formation of mobile sensors. Simulations show that adaptive flocking algorithm effectively improves location accuracy while maintaining approximate generally same coverage area when compared with other methods.

Abstract Chinese civil war broke out in 1949. The Nationalist government moved to Taiwan (Chiang Kai-shek regime) and proposed "The legitimate government does not coexist with rebels" and vowed to "retake the mainland China" and also brought up other slogans as well. They also took Taiwan, Penghu, Kinmen and Matsu as counterattack base. Therefore, the tensions of cross-strait relations were at daggers drawn. Our government hasn¡¦t lifted the ban to the mainland China to visit relatives until 1987. In 1992, "Koo-Wang talks" for each session made a significant progress in establishing cooperation premise of the "1992 consensus". Gradually, the cross-strait relations have become moderate, but the regime of the mainland China still doesn¡¦t give up forcing against Taiwan. Since the Ma government took office in 2008, they have devoted to promoting the peaceful progress of cross-strait relations and restarting cross-strait economic cooperation and contact channels for cultural exchanges as well. The government even signed Economic Cooperation Framework Agreement (ECFA) with the mainland China to prevent Taiwan from the Asian market marginalization on June 29, 2010. The new government is actively reflecting on the impasse between the two sides resulting in Taiwan's development of the stagnant status quo and brainstorm for a breakthrough in the Road; on the other hand, continued economic development of the mainland China will make their influence in the global much dramatically. In particular, Chinese President Hu Jin-Tao in Beijing proposed six new advocates to Taiwan to commemorate <Compatriots in Taiwan> in 30th anniversary commemorative meeting on December 31, 2008. The sixth point mentioned that the two sides can explore the establishment of a military security mechanism of mutual trust. They also called for the two sides to include the full range of military and other exchange, and thus achieve the signing of a peace agreement. Owing to the fact that confidence building measures is the process and catalyst for signing a peace agreement with two sides, we can accumulate experiences from cross-strait interaction and establish mutual trust by the confidence building measures. Furthermore, we can lay the foundation for further engaged in peace talks. Consequently, in the turning point of history, it goes without saying that the importance of confidence building measures.

In general academic research and discussion on stand-alone games or the broader computer games, scholars often use questionnaires and quantitative methods to analyze consumers' perceptions and opinions of game-related issues. Due to the limitations in research methods, previous research results are somewhat difficulty to make marketing companies or decision-making departments deeply understand consumers' ultimate mental imagery and consensus mode. Therefore, nowadays stand-alone game companies often spent a lot of expenses, but can not produce the games that meet consumers' core demand. According to the report released on September 7 2011 by the U.S. market survey center, DFC Intelligence, which specializes in the video game market, it estimates that the scale of the global market of video games will grow to 81 billion U.S. dollars in 2016 from 66 billion U.S. dolloars in 2010. This figure not only symbolizes the boom and huge business opportunities of game market but also affects the changes of the next-generation video game industry, which highlights the importance of conducting related research. This study uses a mental image mode, ZMET metaphor extraction techniques, invented by Harvard University Professor Zaltman as the research method, trying to elicit contruct factors of six senior consumers for the stand-alone game, FINAL FANTASY VII, through image analysis. Research results can provide marketing implications to stand-alone game companies so that they can understand consumer needs and expectations by the imagery constructs and mental models of the senior players. The results of ZMET technical analysis got a total of 122 different constructs from six respondents, from which 49 common constructs were further extracted. This study found HVM hierarchical value consensus mental map among the six senior players and clarified the evolution of the six respondents' imagery constructs of the game and consensus model. As to the final structure constructs in HVM hierarchical value map, five ultimate values are identified, "players' favorability", "looking to the future," "witness", "dreams come true", and "classic". The ultimate values combined by the five non-verbal information can provide marketers and game designers in stand-alone game companies, a reference for future marketing decisions. Additionally, based on the research findings, marketers can design better stand-alone games that meet consumer demands, in order to effectively increase the sales and economic benefits for game companies.

Local communities, individuals, visitors, and special interest groups are often called upon to participate in the decision making processes of the National Park Service (NPS). Cape Hatteras National Seashore (CAHA) engaged in a Negotiated Rulemaking process to create an Off Road Vehicle Management Rule. The rulemaking process involved park stakeholders working with the NPS as a Negotiated Rulemaking Advisory Committee with the goal of creating an Off Road Vehicle Management Rule for CAHA. This dissertation used Senecah's practical theory Trinity of Voice to evaluate CAHA's negotiated rulemaking process. Interviews with park staff and negotiated rulemaking participants provided information about the presence of the grammars of TOV in this decision making process. This dissertation described the affects of negotiated rulemaking on the perceptions of participants towards the park resources and management of the national seashore. The effect of the negotiated rulemaking process was an increase in the knowledge of participants about the decision making process employed by the NPS. In general, participants also developed a stronger relationship with park management. This research suggests critical dimensions for achieving widespread social legitimacy through meaningful public involvement in decision making.

The purpose of this essay is, in a political philosophy perspective, to offer an illumination of John Stuart Mill¡¦s thoughts on modernity. In this essay, firstly, in the first chapter, I will try to elaborate the reason why I write this essay and take a perspective of history and political philosophy as my analytic viewpoint. Moreover, I also briefly introduce Mill¡¦s writings and the frameworks of this essay. In the second chapter, I describe the events, movements, and thoughts that gradually shape the modernity. From the standpoints of Weber, Hume and Romanticism, I also refer to one of the most important characteristics of modernity in political philosophy: value pluralism. In Mill¡¦s thoughts, how to response to the problem derived from value pluralism is my most important discourse. In the following chapter, I offer an exposition to detail Mill¡¦s discourses on modernity, focusing on his utilitarianism and liberalism. I mainly discuss how Mill¡¦s principles of utility and liberty response to the problem derived from value pluralism. I also discuss two contemporary thinkers¡¦ thoughts to find Mill¡¦s discourses on modernity, namely John Rawls and John Gray. In the fourth chapter, I assess and review the criticisms on Mill¡¦s discourses on modernity. In the conclusion chapter, I briefly go through the major viewpoints of this essay.