3 resultados para Traditional clustering

em Brock University, Canada


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This research investigated the impact of stress management and relaxation techniques on psoriasis. It had a dual purpose to see if stress management and relaxation techniques, as an adjunct to traditional medical treatment, would improve the skin condition of psoriasis. In addition it attempted to provide psoriasis patients with a sense of control over their illness by educating them about the connection between mind and body through learning stress management and relaxation techniques. The former purpose was addressed quantitatively, while the latter was addressed qualitatively. Using an experimental design, the quantitative study tested the efficacy of stress management and relaxation techniques on 38 dermatological patients from St. John's, Newfoundland. The study which lasted ten weeks, suggested a weak relationship between psoriasis and stress. These relationships were not statistically significant. The qualitative data were gathered through unstructured interviews and descriptive/interpretative analysis was used to evaluate them. Patients in the experimental group believed in the mind body connection as it related to their illness and stress. The findings also showed that the patients believed that the stress reduction and relaxation techniques improved their quality of life, their level of psoriasis, and their ability to live with the condition. Based on the contradictory nature of the findings, further research is needed. It is posited that replication of this study would be vastly improved by increasing the sample size to increase the possibility of significant findings. As wel~ increasing the length of time for the experiment would control for the possibility of a lag effect. Finally, the study looked at linear relationships between stress and psoriasis. Further study should ascertain whether the relationship might be nonlinear

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Introduction: Canada’s aging population is diverse and this diversity will continue to grow for the next two decades (Government of Canada, 2002; Katz, 2005; Statistics Canada, 2010). Objective: to examine the relationship between dementia family caregivers’ traditionally-based beliefs about caregiving, their caregiving experience, and their well-being. Method: exploratory secondary data analysis of cross-sectional survey data from 76 community caregivers of persons with dementia in Ontario. Results: traditional values for caregiving was independently associated with coping resources and health status but not depression symptoms. Caregiver self-efficacy and social support both partially mediated the relationship between beliefs about caregiving and caregiver health status. Discussion: Findings from this exploratory study are consistent with stress process models of culture and caregiving. The finding that self-efficacy was associated with traditional values and that it mediated the relationship between traditional values and caregiver well-being is new to the literature.

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The goal of most clustering algorithms is to find the optimal number of clusters (i.e. fewest number of clusters). However, analysis of molecular conformations of biological macromolecules obtained from computer simulations may benefit from a larger array of clusters. The Self-Organizing Map (SOM) clustering method has the advantage of generating large numbers of clusters, but often gives ambiguous results. In this work, SOMs have been shown to be reproducible when the same conformational dataset is independently clustered multiple times (~100), with the help of the Cramérs V-index (C_v). The ability of C_v to determine which SOMs are reproduced is generalizable across different SOM source codes. The conformational ensembles produced from MD (molecular dynamics) and REMD (replica exchange molecular dynamics) simulations of the penta peptide Met-enkephalin (MET) and the 34 amino acid protein human Parathyroid Hormone (hPTH) were used to evaluate SOM reproducibility. The training length for the SOM has a huge impact on the reproducibility. Analysis of MET conformational data definitively determined that toroidal SOMs cluster data better than bordered maps due to the fact that toroidal maps do not have an edge effect. For the source code from MATLAB, it was determined that the learning rate function should be LINEAR with an initial learning rate factor of 0.05 and the SOM should be trained by a sequential algorithm. The trained SOMs can be used as a supervised classification for another dataset. The toroidal 10×10 hexagonal SOMs produced from the MATLAB program for hPTH conformational data produced three sets of reproducible clusters (27%, 15%, and 13% of 100 independent runs) which find similar partitionings to those of smaller 6×6 SOMs. The χ^2 values produced as part of the C_v calculation were used to locate clusters with identical conformational memberships on independently trained SOMs, even those with different dimensions. The χ^2 values could relate the different SOM partitionings to each other.