1000 resultados para Mutual Association


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Dissertação de Mestrado apresentada ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Contabilidade e Finanças, sob orientação de Doutora Ana Maria Alves Bandeira e de Doutora Deolinda Aparício Meira

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A avaliação do desempenho das Organizações sem fins lucrativos (OSFL) tornou-se para os gestores um dos desafios mais importantes na atualidade. O estudo visa analisar a implementação do Balanced Scorecard (BSC) nas associações mutualistas, uma das formas legais de instituição das OSFL. Os principais objetivos são verificar se o BSC é adotado por estas organizações, quais as alterações necessárias para a sua implementação e por último, as vantagens e desvantagens inerentes dessa aplicação. O método de investigação utilizado foi o estudo de caso. Como procedimentos foram selecionados a análise documental, dos decretos-lei e código das Associações Mutualistas, os questionários e uma entrevista. As associações analisadas foram escolhidas com base na sua filiação na União das Mutualidades (UM), uma associação de grau superior. Apesar da evidência recolhida mostrar que o BSC não é implementado, são reconhecidas vantagens superiores às limitações para uma gestão mais eficaz. Adicionalmente os resultados sugerem que a estrutura do BSC teria de ser diversa daquela que está subjacente ao setor empresarial. Inicialmente o BSC era dirigido para organizações com fins lucrativos, pelo que a falta de informação e a necessidade de alteração desta ferramenta de gestão não tenha despertado o interesse na sua implementação. Contudo, os potenciais desta aplicação são reconhecidos.

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We identified syntaxin 5 (Stx5), a protein involved in intracellular vesicle trafficking, as a novel interaction partner of the very low density lipoprotein (VLDL)-receptor (VLDL-R), a member of the LDL-receptor family. In addition, we investigated the effect of Stx5 on VLDL-R maturation, trafficking and processing. Here, we demonstrated mutual association of both proteins using several in vitro approaches. Furthermore, we detected a special maturation phenotype of VLDL-R resulting from Stx5 overexpression. We found that Stx5 prevented Golgi-maturation of VLDL-R, but did not cause accumulation of the immature protein in ER to Golgi compartments, the main expression sites of Stx5. Rather more, abundantly present Stx5 was capable of translocating ER-/N-glycosylated VLDL-R to the plasma membrane, and thus was insensitive to BFA treatment and incubation at low temperature. Based on our findings, we postulate that Stx5 can directly bind to the C-terminal domain of VLDL-R, thereby influencing the receptor’s glycosylation, trafficking and processing characteristics. Resulting from that, we further suggest that Stx5, which is highly expressed in neurons along with VLDL-R, might play a role in modulating the receptor’s physiology by participating in a novel/undetermined alternative pathway bypassing the Golgi apparatus.

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The Armadillo family catenin proteins function in multiple capacities including cadherin-mediated cell-cell adhesion and nuclear signaling. The newest catenin, p120 catenin, differs from the classical catenins and binds to the membrane-proximal domain of cadherins. Recently, a novel transcription factor Kaiso was found to interact with p120 catenin, suggesting that p120 catenin also possesses a nuclear function. We isolated the Xenopus homolog of Kaiso, XKaiso, from a Xenopus stage 17 cDNA library. XKaiso contains an amino-terminal BTB/POZ domain and three carboxyl-terminal zinc fingers. The XKaiso transcript was present maternally and expressed throughout early embryonic development. XKaiso's spatial expression was defined via in situ hybridization and was found localized to the brain, eye, ear, branchial arches, and spinal cord. Co-immunoprecipitation of Xenopus p120 catenin and XKaiso demonstrated their mutual association, while related experiments employing differentially epitope-tagged XKaiso constructs suggest that XKaiso also self-associates. On the functional level, reporter assays employing a chimera of XKaiso fused to the GAL4 DNA binding domain indicated that XKaiso is a transcriptional repressor. To better understand the significance of the Kaiso-p120 catenin complex in vertebrate development, Kaiso knock-down experiments were undertaken, and the modulatory role of p120 catenin in Kaiso function examined during Xenopus development. Using morpholino antisense oligonucleotides to block translation of XKaiso, XKaiso was found to be essential for Xenopus gastrulation, being required for correct morphogenetic movements in early embryogenesis. Molecular marker analyses indicated that one target gene of the Wnt/β-catenin pathway, Siamois, is significantly increased in embryos depleted for XKaiso, while other dorsal, ventral, and mesodermal cell fate markers were unaltered. In addition, the non-canonical Wnt-11, known to participate in planar cell polarity/convergent extension processes, was significantly upregulated following depletion of XKaiso. Such increased Wnt-11 expression likely contributed to the XKaiso depletion phenotype because a dominant negative form of Wnt-11 or of the downstream effector Dishevelled partially rescued the observed gastrulation defects. These results show that XKaiso is essential for proper gastrulation movements, resulting at least in part from its modulation of non-canonical Wnt signaling. The significance of the XKaiso-p120 catenin interaction has yet to be determined, but appears to include a role in modulating genes promoting canonical and non-canonical Wnt signals. ^

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Cover title: Introductory address delivered before the Young Men's Association of Albany on the evening of December 4, 1838, by William B. Sprague.

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Cover title: Introductory address, delivered before the Young Men's Association of Albany.

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Cover title: Character and services of James Madison, by Daniel D. Barnard.

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BACKGROUND: Twelve-step mutual-help groups (TMGs) are among the most available forms of support for homeless individuals with alcohol problems. Qualitative research, however, has suggested that this population often has negative perceptions of these groups, which has been shown to be associated with low TMG attendance. It is important to understand this population's perceptions of TMGs and their association with alcohol outcomes to provide more appropriate and better tailored programming for this multiply affected population. The aims of this cross-sectional study were to (a) qualitatively examine perception of TMGs in this population and (b) quantitatively evaluate its association with motivation, treatment attendance and alcohol outcomes. METHODS: Participants (N=62) were chronically homeless individuals with alcohol problems who received single-site Housing First within a larger evaluation study. Perceptions of TMGs were captured using an open-ended item. Quantitative outcome variables were created from assessments of motivation, treatment attendance and alcohol outcomes. RESULTS: Findings indicated that perceptions of TMGs were primarily negative followed by positive and neutral perceptions, respectively. There were significant, positive associations between perceptions of TMGs and motivation and treatment attendance, whereas no association was found for alcohol outcomes. CONCLUSIONS: Although some individuals view TMGs positively, alternative forms of help are needed to engage the majority of chronically homeless individuals with alcohol problems.

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L’usage de drogues illicites et la symptomatologie dépressive sont associés, mais la nature de cette association demeure mal comprise. Une clarification des mécanismes en jeu est nécessaire afin de pouvoir intervenir sur la cooccurrence des deux phénomènes, dont les conséquences individuelles et sociales sont lourdes. Ces efforts de clarification débutent à l’adolescence, moment où sont typiquement initiés la consommation de substances et les problèmes affectifs. L’objectif de cette thèse est de contribuer à clarifier la nature des associations entre l’usage de certaines des drogues illicites les plus fréquemment consommées et les symptômes dépressifs chez les adolescents. Les données utilisées proviennent d’une cohorte de l’échantillon longitudinal de la Stratégie d’Intervention Agir Autrement (SIAA) comprenant plus de 3000 jeunes fréquentant des écoles en milieu défavorisé du Québec, qui ont été suivis pendant leur secondaire (2003-2007). Le premier article empirique de la thèse porte sur la relation entre l’usage de cannabis et la symptomatologie dépressive. Cette étude a examiné l’existence d’associations prospectives bidirectionnelles entre les deux phénomènes du début (13-14 ans) à la fin du secondaire (16-17 ans). Les analyses ont considéré des liens directs, mais également des liens indirects via deux facteurs reflétant des appartenances sociales normatives et non normatives : l’attachement à l’école et l’affiliation à des pairs déviants et consommateurs de drogues. Les résultats indiquent que les symptômes dépressifs et l’usage de cannabis peuvent représenter des facteurs de risque mutuels et suggèrent qu’un mécanisme indirect impliquant une érosion des attaches normatives pourrait jouer un rôle dans des cascades développementales reliant les deux manifestations. Le deuxième article empirique visait à déterminer si l’usage de deux drogues de synthèse, le MDMA (ecstasy) et les méth/amphétamines (speed), à 15-16 ans était associé au développement de symptômes dépressifs élevés un an plus tard, en prenant en considération des facteurs confondants potentiels. Tel qu’attendu, les résultats montrent une prédiction de la symptomatologie dépressive par l’usage de MDMA et de méth/amphetamines, particulièrement lorsque cet usage est concomitant. Ces résultats représentent une des premières évidences d’un risque posé par l’usage de drogues de synthèse par rapport au développement de symptômes affectifs chez les jeunes.

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This study jointly examines herding, momentum trading and performance in real estate mutual funds (REMFs). We do this using trading and performance data for 159 REMFs across the period 1998–2008. In support of the view that Real Estate Investment Trust (REIT) stocks are relatively more transparent, we find that stock herding by REMFs is lower in REIT stocks than other stock. Herding behavior in our data reveals a tendency for managers to sell winners, reflective of the “disposition effect.” We find low overall levels of REMF momentum trading, but further evidence of the disposition effect when momentum trading is segregated into buy–sell dimensions. We test the robustness of our analysis using style analysis, and by reference to the level of fund dividend distribution. Our results for this are consistent with our conjecture about the role of transparency in herding, but they provide no new insights in relation to the momentum-trading dimensions of our analysis. Summarizing what are complex interrelationships, we find that neither herding nor momentum trading are demonstrably superior investment strategies for REMFs.

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In population studies, most current methods focus on identifying one outcome-related SNP at a time by testing for differences of genotype frequencies between disease and healthy groups or among different population groups. However, testing a great number of SNPs simultaneously has a problem of multiple testing and will give false-positive results. Although, this problem can be effectively dealt with through several approaches such as Bonferroni correction, permutation testing and false discovery rates, patterns of the joint effects by several genes, each with weak effect, might not be able to be determined. With the availability of high-throughput genotyping technology, searching for multiple scattered SNPs over the whole genome and modeling their joint effect on the target variable has become possible. Exhaustive search of all SNP subsets is computationally infeasible for millions of SNPs in a genome-wide study. Several effective feature selection methods combined with classification functions have been proposed to search for an optimal SNP subset among big data sets where the number of feature SNPs far exceeds the number of observations. ^ In this study, we take two steps to achieve the goal. First we selected 1000 SNPs through an effective filter method and then we performed a feature selection wrapped around a classifier to identify an optimal SNP subset for predicting disease. And also we developed a novel classification method-sequential information bottleneck method wrapped inside different search algorithms to identify an optimal subset of SNPs for classifying the outcome variable. This new method was compared with the classical linear discriminant analysis in terms of classification performance. Finally, we performed chi-square test to look at the relationship between each SNP and disease from another point of view. ^ In general, our results show that filtering features using harmononic mean of sensitivity and specificity(HMSS) through linear discriminant analysis (LDA) is better than using LDA training accuracy or mutual information in our study. Our results also demonstrate that exhaustive search of a small subset with one SNP, two SNPs or 3 SNP subset based on best 100 composite 2-SNPs can find an optimal subset and further inclusion of more SNPs through heuristic algorithm doesn't always increase the performance of SNP subsets. Although sequential forward floating selection can be applied to prevent from the nesting effect of forward selection, it does not always out-perform the latter due to overfitting from observing more complex subset states. ^ Our results also indicate that HMSS as a criterion to evaluate the classification ability of a function can be used in imbalanced data without modifying the original dataset as against classification accuracy. Our four studies suggest that Sequential Information Bottleneck(sIB), a new unsupervised technique, can be adopted to predict the outcome and its ability to detect the target status is superior to the traditional LDA in the study. ^ From our results we can see that the best test probability-HMSS for predicting CVD, stroke,CAD and psoriasis through sIB is 0.59406, 0.641815, 0.645315 and 0.678658, respectively. In terms of group prediction accuracy, the highest test accuracy of sIB for diagnosing a normal status among controls can reach 0.708999, 0.863216, 0.639918 and 0.850275 respectively in the four studies if the test accuracy among cases is required to be not less than 0.4. On the other hand, the highest test accuracy of sIB for diagnosing a disease among cases can reach 0.748644, 0.789916, 0.705701 and 0.749436 respectively in the four studies if the test accuracy among controls is required to be at least 0.4. ^ A further genome-wide association study through Chi square test shows that there are no significant SNPs detected at the cut-off level 9.09451E-08 in the Framingham heart study of CVD. Study results in WTCCC can only detect two significant SNPs that are associated with CAD. In the genome-wide study of psoriasis most of top 20 SNP markers with impressive classification accuracy are also significantly associated with the disease through chi-square test at the cut-off value 1.11E-07. ^ Although our classification methods can achieve high accuracy in the study, complete descriptions of those classification results(95% confidence interval or statistical test of differences) require more cost-effective methods or efficient computing system, both of which can't be accomplished currently in our genome-wide study. We should also note that the purpose of this study is to identify subsets of SNPs with high prediction ability and those SNPs with good discriminant power are not necessary to be causal markers for the disease.^