77 resultados para intrinsically disordered sequences


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The Tripartite Influence Model (TIM) argues sociocultural agents affect body image dissatisfaction (BID) via the mediators of social comparison and internalization. BID subsequently influences disordered eating. Forty-seven Australian sister pairs (18–25 years) provided self-reports of perceived familial modeling and pressure by the sociocultural agents of mother, father and sister, social comparison, internalization, BID, bulimic behaviors, and dietary restriction. Sisters were correlated on internalization, BID, disordered eating, and parental modeling and pressure. Mothers and sisters were equally important modeling agents. Sisters were an equivalent social comparison target to peers. Consistent with the TIM, internalization and social comparison mediated familial pressure on BID. Contrary to the model, sister modeling directly affected bulimic behaviors and dietary restriction.

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The current study was conducted to investigate the relationships between body size estimations and disordered eating symptomatology. The method of constant stimuli was used to derive three measures of self-perceived body size in 93 women: (1) accuracy of body size estimations (body image distortion); (2) sensitivity in discriminating body size within blocks of trials (body image sensitivity); and (3) variability in making body size estimations between blocks of trials (body image variability). Participants also completed measures of disordered eating. Although body image distortion correlated with dietary restraint and eating concern, body image variability accounted for additional variance in these variables, as well as variance in binge eating. The relationships involving body image variability were found to be mediated by body dissatisfaction and internalization of the thin ideal. Together, these results are consistent with the proposition that body image variability is a significant factor in disordered eating.

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Current knowledge of the evolutionary relationships among scallop species (Mollusca: Bivalvia: Pectinidae) in the Indo-Pacific region is rather scanty. To enhance the understanding of the relationships within this group, phylogenies of nine species of scallops with the majority from coastal regions of Thailand, were reconstructed by maximum parsimony, maximum likelihood, and Bayesian methods using sequences of the 16S rRNA of the mitochondrial genome, and a fragment containing the ITS1, 5.8S and ITS2 genes of the nuclear DNA. The trees that resulted from the three methods of analysis were topologically identical, however, gained different levels of support at some nodes. Nine species were clustered into two major clades, corresponding to two subfamilies (Pectininae and Chlamydinae) of the three currently recognized subfamilies within Pectinidae. Overall, the relationships reported herein are mostly in accordance with the previous molecular studies that used sequences of the mtDNA cytochrome oxidase subunit I, and the classification system based on microsculpture of shell features and morphological characteristics of juveniles. Levels of divergences were different among genes (i.e., the 5.8S gene showed the lowest levels of nucleotide divergence at all levels, whereas the 16S rRNA showed the highest level of variation within species, and ITS2 gene revealed the highest level of divergence at higher levels).

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This thesis examined the role of individual factors in the development of dieting and muscal preoccupation in children. The main factor associated with these weight and shape concerns was perfectionism. It is important to identify risk factors in order to design intervention programs to decrease these behaviours in children.

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This thesis proposes three effective strategies to solve the significant performance-bias problem in imbalance text mining: (1) creation of a novel inexact field learning algorithm to overcome the dual-imbalance problem; (2) introduction of the one-class classification-framework to optimize classifier-parameters, and (3) proposal of a maximal-frequent-item-set discovery approach to achieve higher accuracy and efficiency.

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This thesis found that predicted risk factors for disordered eating were similar for overweight and non-overweight women. However, overweight women reported more stigmatisation and body shame, had a higher risk for developing an eating disorder, and were twice as likely to be diagnosed with a subclinical/clinical eating disorder than non-overweight women. The portfolio presents four case studies demonstrating the considerations and challenges of psychologically assessing and treating individuals with chronic health conditions.

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This thesis investigated the psychological processes that underlie the relationship between dissociation and disordered eating. Although previous theories have emphasized that dissociation undermines behavioural self-control and, in turn, contributes to disordered eating, present findings indicate that dissociation may also influence disordered eating via disturbances to one's sense of identity.

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Examines whether the personality traits of sensitivity to reward and punishment as defined by Jeffrey Gray contributed to the prediction of disordered eating and hazardous alcohol use. Studies were conducted in both subclinical and clinical populations. Heightened sensitivity to reward contributed to the prediction of hazardous alcohol use and heightened sensitivity to punishment contributed to the prediction of disordered eating in women. Women with comorbid bulimia and alcohol dependence were more behaviourally sensitive to reward than normal controls.

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This thesis proposes a new model of disordered eating and tests it using a longitudinal design. The Expectancy Model of Disordered Eating maintains that dieting and binge eating can best be explained as a predisposition towards avoidance coping which is triggered by outcome expectancies and negative affect or low self-esteem.

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The project focusses on the discovery of conserved DNA sequences in bacterial genomes and comparative analysis of bacterial genomes to elicit evolutionary trends. The outcomes have produced novel techniques for modelling motifs in DNA and the characterisation of evolutionary processes in medically significant bacterial pathogens.

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In knowledge discovery in single sequences, different results could be discovered from the same sequence when different frequency measures are adopted. It is natural to raise such questions as (1) do these frequency measures reflect actual frequencies accurately? (2) what impacts do frequency measures have on discovered knowledge? (3) are discovered results accurate and reliable? and (4) which measures are appropriate for reflecting frequencies accurately? In this paper, taking three major factors (anti-monotonicity, maximum-frequency and window-width restriction) into account, we identify inaccuracies inherent in seven existing frequency measures, and investigate their impacts on the soundness and completeness of two kinds of knowledge, frequent episodes and episode rules, discovered from single sequences. In order to obtain more accurate frequencies and knowledge, we provide three recommendations for defining appropriate frequency measures. Following the recommendations, we introduce a more appropriate frequency measure. Empirical evaluation reveals the inaccuracies and verifies our findings.