A fundamental problem of fault-tolerant distributed computing is for the reliable processes to reach a consensus. For a synchronous distributed system of n processes with up to t crash failures and f failures actually occur, we prove using a straightforward bivalency argument that the lower bound for reaching uniform consensus is (f + 2)-rounds in the case of 0 < f ≤ t −2, and a new lower bound for early-stopping consensus is min (t + 1, f + 2)-rounds where 0 ≤ f ≤ t. Both proofs are simpler and more intuitive than the traditional methods such as backward induction. Our main contribution is that we solve the open problem of proving that bivalency can be applied to show the (f + 2)-rounds lower bound for synchronous uniform consensus. / Singapore-MIT Alliance (SMA)

The prevalence of overweight and obesity is on the rise. Being overweight or obese is associated with serious medical, psychological, and social consequences. The main social consequence of being overweight or obese is stigma, which is detrimental to overweight and obese people. Three types of obesity stigma reduction interventions have been proposed and tested: changing attributions, increasing empathy, and social consensus. The purpose of this study was to compare the effectiveness of these interventions and to determine the effectiveness of an intervention that incorporates major elements of the three interventions. Three hundred eighty one University of Manitoba undergraduate students participated in this study. They were randomly assigned to one of five intervention groups: status quo group, changing attributions group, increasing empathy group, social consensus group, and multi-level intervention group. The interventions involved presenting participants with information intended to influence participants’ perceptions of overweight and obese individuals. Pre-test and post-test ratings were obtained on participants’ attributions about weight, feelings about obese people, and endorsement of positive and negative stereotypes of obese people. Analyses of these ratings revealed that the empathy and multi-level interventions are the only interventions that improved attributions, feelings, and endorsement of stereotypes, and this suggests that the multi-level and empathy interventions were the most powerful. On the other hand, the attribution intervention had the largest overall effect and affected attributions, feelings, and negative stereotypes. Therefore, there are reasons to believe that the attribution intervention was the most powerful in this study. Participants were subsequently asked to rate a target overweight person. Half of all participants were informed that the target was overweight because of medical reasons, while the other half were informed that the target was overweight because of regular overeating and a sedentary lifestyle. Surprisingly, the intervention groups did not significantly differ in target ratings on any variable. Reasons for this lack of effect are discussed. A main effect did occur in the ratings of the target for controllability information. Specifically, participants who were informed that the target was overweight for uncontrollable reasons (e.g., glandular disorder) reported more favorable ratings in liking her and not blaming her, as compared to participants who were informed that the target was overweight for controllable reasons (e.g., regular overeating and sedentary lifestyle). Ratings of the target’s characteristics and physical attractiveness did not change with this manipulation. Overall, this study provided logical and consistent results, while adding specific information to the literature. Further, this study offered a new, effective intervention for obesity stigma reduction, as well as providing some support for the empathy and attribution interventions. These three interventions proved to be the strongest in this study, and perhaps they will one day be used as part of a more global intervention to reduce stigma and discrimination toward overweight and obese people. / October 2008

In this paper, a view of non-compliance in practical healthcare is provided that identifies certain non-compliant behaviours as rational. This view of rational non-compliance is used to update a current form of doctor patient relationships with the aim of reducing non-compliance. In addition to reforming one standard doctor patient relationship model, the normative implications of understanding non-compliance as a rational form of human behaviour are described.

The focus of this thesis is mainly to investigate the external political process from consensus conference and the correlation between consensus conference and political policy aimed at understanding the external effect of the conference. This thesis also studies the influence of public conference on both the administrative body and city council and the operations of public policy. A case study putting its emphasis on the public conference in installing a harbor cable car system bears a sense of unique significance in the very first consensus conference on municipal agenda in Taiwan. It is found that a consensus conference is perhaps more suitable for local administration to solve municipal issues than for the central government to solve national agenda. Thus, local government should step up its efforts to promote the valuable channel of citizen participation via public conference in an attempt to raise the consciousness of citizenship. The purpose of this article is also to get in-depth knowledge of the correlation between the consensus conference and public policy via comparison and analyses of social theories and publications and to interview dedicated personnel with both the administrative agency and city council for further discussions, which could, in the end, serve as a probable option to solve controversial issues once the deliberative democracy is chosen. The opinions collected via on-site interviews with dedicated administrative agencies (e.g. Bureau of Urban development & Bureau of Human Resources Development) and Kaohsiung city council have been used to analyze and verify the political clout of the consensus onference outside the regular decision-making process, which might become a valuable lesson learned for both the central and local authorities in the future.

The Artical is about gender issue of nationalism.

Thesis (Ph. D.)--Indiana University of Pennsylvania. / Includes bibliographical references.

No description available.

Pervasive Developmental Disorders (PDDs) are neurodevelopmental disorders characterized by impairments in social interaction, communication and behaviour [Str04]. Given the diversity and varying severity of PDDs, diagnostic tools attempt to identify homogeneous subtypes within PDDs. The diagnostic system Diagnostic and Statistical Manual of Mental Disorders - Fourth Edition (DSM-IV) divides PDDs into five subtypes. Several limitations have been identified with the categorical diagnostic criteria of the DSM-IV. The goal of this study is to identify putative subtypes in the multidimensional data collected from a group of patients with PDDs, by using cluster analysis. Cluster analysis is an unsupervised machine learning method. It offers a way to partition a dataset into subsets that share common patterns. We apply cluster analysis to data collected from 358 children with PDDs, and validate the resulting clusters. Notably, there are many cluster analysis algorithms to choose from, each making certain assumptions about the data and about how clusters should be formed. A way to arrive at a meaningful solution is to use consensus clustering to integrate results from several clustering attempts that form a cluster ensemble into a unified consensus answer, and can provide robust and accurate results [TJPA05]. In this study, using cluster analysis, cluster validation, and consensus clustering, we identify four clusters that are similar to – and further refine  three of the five subtypes defined in the DSM-IV. This study thus confirms the existence of these three subtypes among patients with PDDs. / Thesis (Master, Computing) -- Queen's University, 2007-11-15 23:34:36.62 / OGS, QGA

No description available.

The prevalence of overweight and obesity is on the rise. Being overweight or obese is associated with serious medical, psychological, and social consequences. The main social consequence of being overweight or obese is stigma, which is detrimental to overweight and obese people. Three types of obesity stigma reduction interventions have been proposed and tested: changing attributions, increasing empathy, and social consensus. The purpose of this study was to compare the effectiveness of these interventions and to determine the effectiveness of an intervention that incorporates major elements of the three interventions. Three hundred eighty one University of Manitoba undergraduate students participated in this study. They were randomly assigned to one of five intervention groups: status quo group, changing attributions group, increasing empathy group, social consensus group, and multi-level intervention group. The interventions involved presenting participants with information intended to influence participants’ perceptions of overweight and obese individuals. Pre-test and post-test ratings were obtained on participants’ attributions about weight, feelings about obese people, and endorsement of positive and negative stereotypes of obese people. Analyses of these ratings revealed that the empathy and multi-level interventions are the only interventions that improved attributions, feelings, and endorsement of stereotypes, and this suggests that the multi-level and empathy interventions were the most powerful. On the other hand, the attribution intervention had the largest overall effect and affected attributions, feelings, and negative stereotypes. Therefore, there are reasons to believe that the attribution intervention was the most powerful in this study. Participants were subsequently asked to rate a target overweight person. Half of all participants were informed that the target was overweight because of medical reasons, while the other half were informed that the target was overweight because of regular overeating and a sedentary lifestyle. Surprisingly, the intervention groups did not significantly differ in target ratings on any variable. Reasons for this lack of effect are discussed. A main effect did occur in the ratings of the target for controllability information. Specifically, participants who were informed that the target was overweight for uncontrollable reasons (e.g., glandular disorder) reported more favorable ratings in liking her and not blaming her, as compared to participants who were informed that the target was overweight for controllable reasons (e.g., regular overeating and sedentary lifestyle). Ratings of the target’s characteristics and physical attractiveness did not change with this manipulation. Overall, this study provided logical and consistent results, while adding specific information to the literature. Further, this study offered a new, effective intervention for obesity stigma reduction, as well as providing some support for the empathy and attribution interventions. These three interventions proved to be the strongest in this study, and perhaps they will one day be used as part of a more global intervention to reduce stigma and discrimination toward overweight and obese people.