999 resultados para Statistical Surveys
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program
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Ant species (Hymenoptera, Formicidae) from the seasonally dry tropical forest of northeastern Brazil: a compilation from field surveys in Bahia and literature records. The Caatingas occur predominantly in northeastern Brazil and comparatively it is the biome that received less attention than any other ecosystem in Brazil, representing the region where invertebrate groups are less known. We present here the first list of ant species of the Caatingas, compiling information from the literature, from a study of samples preserved in alcohol in the Laboratory of Entomology (Universidade Estadual de Feira de Santana), and from a field survey conducted in Milagres, Bahia, submitting standardized 1-m² samples of the leaf-litter to Winkler extractors. Summing all information, 11 subfamilies, 61 genera and 173 species (plus one subspecies) of ants are recognized in the biome. This species number does not consider morphospecies that could not be named due to the lack of reliable recent taxonomic information for some Neotropical ant genera. The list presented here for ant species of the Caatingas is therefore underestimated, but it is relevant because it allows the identification of areas to be sampled in order to improve our knowledge of the diversity of ants in this biome.
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Pearson correlation coefficients were applied for the objective comparison of 30 black gel pen inks analysed by laser desorption ionization mass spectrometry (LDI-MS). The mass spectra were obtained for ink lines directly on paper using positive and negative ion modes at several laser intensities. This methodology has the advantage of taking into account the reproducibility of the results as well as the variability between spectra of different pens. A differentiation threshold could thus be selected in order to avoid the risk of false differentiation. Combining results from positive and negative mode yielded a discriminating power up to 85%, which was better than the one obtained previously with other optical comparison methodologies. The technique also allowed discriminating between pens from the same brand.
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program
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RÉSUMÉ : Le bullying est un type de comportement agressif qu'un élève (ou plusieurs) fait subir à un autre et qui se manifeste par des agressions verbales, physiques et/ou psychologiques. Les caractéristiques du bullying sont la répétitivité d'actions négatives sur le long terme et une relation de pouvoir asymétrique. Pour la victime, ce type de comportement peut avoir des conséquences graves telles qu'échec scolaire, dépression, troubles alimentaires, ou idées suicidaires. De plus, les auteurs de bullying commettent plus de comportements déviants au sein de l'école ou à l'extérieur de cette dernière. La mise en place d'actions ciblées auprès des auteurs de bullying pourrait donc non seulement prévenir une victimisation, mais aussi réduire les actes de délinquance en général. Hormis quelques études locales ou cantonales, aucune recherche nationale auprès d'adolescents n'existait dans le domaine. Ce travail propose de combler cette lacune afin d'obtenir une compréhension suffisante du phénomène qui permet de donner des pistes pour définir des mesures de prévention appropriées. Afin d'appréhender la problématique du bullying dans les écoles secondaires suisses, deux sondages de délinquance juvénile autoreportée ont été effectués. Le premier a eu lieu entre 2003 et 2005 dans le canton de Vaud auprès de plus de 4500 écoliers. Le second a été administré en 2006 dans toute la Suisse et environ 3600 jeunes y ont participé. Les jeunes ont répondu au sondage soit en classe (questionnaire papier) soit en salle d'informatique (questionnaire en ligne). Les jeunes ayant répondu avoir sérieusement harcelé un autre élève est d'environ 7% dans le canton de Vaud et de 4% dans l'échantillon national. Les analyses statistiques ont permis tout d'abord de sélectionner les variables les plus fortement liées au bullying. Les résultats montrent que les jeunes avec un bas niveau d'autocontrôle et ayant une attitude positive envers la violence sont plus susceptibles de commettre des actes de bullying. L'importance des variables environnementales a aussi été démontrée: plus le jeune est supervisé et encadré par des adultes, plus les autorités (école, voisinage) jouent leur rôle de contrôle social en faisant respecter les règles et en intervenant de manière impartiale, moins le jeune risque de commettre des actes de bullying. De plus, l'utilisation d'analyses multiniveaux a permis de montrer l'existence d'effets de l'école sur le bullying. En particulier, le taux de bullying dans une école donnée augmente lorsque les avis des jeunes divergent par rapport à leur perception du climat scolaire. Un autre constat que l'on peut mettre en évidence est que la réaction des enseignants lors de bagarres a une influence différente sur le taux de bullying en fonction de l'établissement scolaire. ABSTRACT : Bullying is the intentional, repetitive or persistent hurting of one pupil by another (or several), where the relationship involves an imbalance of power. Bullying is a type of aggressive behaviour and the act can be verbal, physical and/or psychological. The consequences on the victims are serious: school failure, depressive symptomatology, eating disorders, or suicidal ideation. Moreover, the authors of bullying display more delinquent behaviour within or outside the school. Thus, preventive programmes targeting bullying could not only prevent victimisation, but also reduce delinquency in general. Very little data concerning bullying had been collected in Switzerland and, except some local or cantonal studies, no national research among teenagers existed in the field. This work intends to fill the gap in order to provide sufficient understanding of the phenomenon and to suggest some tracks for defining appropriate measures of prevention. In order to understand the problems of bullying in Swiss secondary schools better, two surveys of self-reported juvenile delinquency were carried out. The first one took place between 2003 and 2005 in the canton Vaud among more than 4500 pupils, the second in 2006 across Switzerland with about 3600 youths taking part. The pupils answered to the survey either in the classroom (paper questionnaire) or in the computer room (online questionnaire). The youths that answered having seriously bullied another pupil are about 7% in canton Vaud and 4% in the national sample. Statistical analyses have selected the variables most strongly related to bullying. The results show that the youths with a low level of self-control and adopting a positive attitude towards violence are more likely to bully others. The importance of the environmental variables was also shown: the more that youth is supervised and monitored by adults, and the more the authorities (school, neighbourhood) play their role of social control by making the rules be respected through intervening in an impartial way, the less the youth bully. Moreover, the use of multilevel analyses permitted to show the existence of effects of the school on bullying. In particular, the rate of bullying in a given school increases when there is a wide variation among students of the same school in their perception of their school climate. Another important aspect concerns teachers' reactions when pupils fight: this variable does not influence the bullying rate to the same extent, and depends on the school.
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Detecting local differences between groups of connectomes is a great challenge in neuroimaging, because the large number of tests that have to be performed and the impact on multiplicity correction. Any available information should be exploited to increase the power of detecting true between-group effects. We present an adaptive strategy that exploits the data structure and the prior information concerning positive dependence between nodes and connections, without relying on strong assumptions. As a first step, we decompose the brain network, i.e., the connectome, into subnetworks and we apply a screening at the subnetwork level. The subnetworks are defined either according to prior knowledge or by applying a data driven algorithm. Given the results of the screening step, a filtering is performed to seek real differences at the node/connection level. The proposed strategy could be used to strongly control either the family-wise error rate or the false discovery rate. We show by means of different simulations the benefit of the proposed strategy, and we present a real application of comparing connectomes of preschool children and adolescents.
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program
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Accurate detection of subpopulation size determinations in bimodal populations remains problematic yet it represents a powerful way by which cellular heterogeneity under different environmental conditions can be compared. So far, most studies have relied on qualitative descriptions of population distribution patterns, on population-independent descriptors, or on arbitrary placement of thresholds distinguishing biological ON from OFF states. We found that all these methods fall short of accurately describing small population sizes in bimodal populations. Here we propose a simple, statistics-based method for the analysis of small subpopulation sizes for use in the free software environment R and test this method on real as well as simulated data. Four so-called population splitting methods were designed with different algorithms that can estimate subpopulation sizes from bimodal populations. All four methods proved more precise than previously used methods when analyzing subpopulation sizes of transfer competent cells arising in populations of the bacterium Pseudomonas knackmussii B13. The methods' resolving powers were further explored by bootstrapping and simulations. Two of the methods were not severely limited by the proportions of subpopulations they could estimate correctly, but the two others only allowed accurate subpopulation quantification when this amounted to less than 25% of the total population. In contrast, only one method was still sufficiently accurate with subpopulations smaller than 1% of the total population. This study proposes a number of rational approximations to quantifying small subpopulations and offers an easy-to-use protocol for their implementation in the open source statistical software environment R.
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A-1 - Monthly Public Assistance Statistical Report Family Investment Program
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Iowa Individual Income Tax Statistical Report 2007