Multi-dimensional approach to bullying

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.

Reference Cluster Normalization Improves Detection of Frontotemporal Lobar Degeneration by Means of FDG-PET.

Positron emission tomography with [18F] fluorodeoxyglucose (FDG-PET) plays a well-established role in assisting early detection of frontotemporal lobar degeneration (FTLD). Here, we examined the impact of intensity normalization to different reference areas on accuracy of FDG-PET to discriminate between patients with mild FTLD and healthy elderly subjects. FDG-PET was conducted at two centers using different acquisition protocols: 41 FTLD patients and 42 controls were studied at center 1, 11 FTLD patients and 13 controls were studied at center 2. All PET images were intensity normalized to the cerebellum, primary sensorimotor cortex (SMC), cerebral global mean (CGM), and a reference cluster with most preserved FDG uptake in the aforementioned patients group of center 1. Metabolic deficits in the patient group at center 1 appeared 1.5, 3.6, and 4.6 times greater in spatial extent, when tracer uptake was normalized to the reference cluster rather than to the cerebellum, SMC, and CGM, respectively. Logistic regression analyses based on normalized values from FTLD-typical regions showed that at center 1, cerebellar, SMC, CGM, and cluster normalizations differentiated patients from controls with accuracies of 86%, 76%, 75% and 90%, respectively. A similar order of effects was found at center 2. Cluster normalization leads to a significant increase of statistical power in detecting early FTLD-associated metabolic deficits. The established FTLD-specific cluster can be used to improve detection of FTLD on a single case basis at independent centers - a decisive step towards early diagnosis and prediction of FTLD syndromes enabling specific therapies in the future.

Habitat-quality effects on metapopulation dynamics in greater white-toothed shrews, Crocidura russula.

The effects of patch size and isolation on metapopulation dynamics have received wide empirical support and theoretical formalization. By contrast, the effects of patch quality seem largely underinvestigated, partly due to technical difficulties in properly assessing quality. Here we combine habitat-quality modeling with four years of demographic monitoring in a metapopulation of greater white-toothed shrews (Crocidura russula) to investigate the role of patch quality on metapopulation processes. Together, local patch quality and connectivity significantly enhanced local population sizes and occupancy rates (R2 = 14% and 19%, respectively). Accounting for the quality of patches connected to the focal one and acting as potential sources improved slightly the model explanatory power for local population sizes, pointing to significant source-sink dynamics. Local habitat quality, in interaction with connectivity, also increased colonization rate (R2 = 28%), suggesting the ability of immigrants to target high-quality patches. Overall, patterns were best explained when assuming a mean dispersal distance of 800 m, a realistic value for the species under study. Our results thus provide evidence that patch quality, in interaction with connectivity, may affect major demographic processes.

Relatório Final Jogos-Simulação De Marketing – Power Computer

This school in the course of Marketing Business Management and specifically Entrepr This school in the course of Marketing Business Management and specifically Entrepreneurship in the discipline of Simulation - Games Marketing year was accordingly for the creation of a company in the computer business in business online simulator called Marketplace, in order to put into practice all the theoretical knowledge acquired during all previous semesters. This platform we were confronted with decisions in eight quarters corresponding 4 every year , in order to encourage learning in a practical way, a virtual and dynamic environment. Every quarter acareados with well organized tasks taking as a reference point defined strategies such as market research analysis, branding , store management after its creation , development of the policy of the 4Ps , identifying opportunities , monitoring of finances and invest heavily . All quarters were subjected decisions and are then given the results , such as: market performance , financial performance, investments in the future , the "health" of the company 's marketing efficiency then analyzed by our company , teaching and also by competition Balanced Scorecard ie , semi-annual and cumulative . For the start of activities it was awarded the 1st year a total of 2,000,000, corresponding to 500,000 out of 4 first quarter , and 5,000,000 in the fifth quarter in a total of 7,000,000 . The capital invested was used to buy market research, opening sales offices , create brands , contract sales force , advertise products created and perform activity R & D in order to make a profit and become self- sufficient to guarantee the payment of principal invested to headquarters ( Corporate Headquarters ) .

Budjetti, 18 Pl

Puhe

Investigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortium.

OBJECTIVES: To investigate whether associations of smoking with depression and anxiety are likely to be causal, using a Mendelian randomisation approach. DESIGN: Mendelian randomisation meta-analyses using a genetic variant (rs16969968/rs1051730) as a proxy for smoking heaviness, and observational meta-analyses of the associations of smoking status and smoking heaviness with depression, anxiety and psychological distress. PARTICIPANTS: Current, former and never smokers of European ancestry aged ≥16 years from 25 studies in the Consortium for Causal Analysis Research in Tobacco and Alcohol (CARTA). PRIMARY OUTCOME MEASURES: Binary definitions of depression, anxiety and psychological distress assessed by clinical interview, symptom scales or self-reported recall of clinician diagnosis. RESULTS: The analytic sample included up to 58 176 never smokers, 37 428 former smokers and 32 028 current smokers (total N=127 632). In observational analyses, current smokers had 1.85 times greater odds of depression (95% CI 1.65 to 2.07), 1.71 times greater odds of anxiety (95% CI 1.54 to 1.90) and 1.69 times greater odds of psychological distress (95% CI 1.56 to 1.83) than never smokers. Former smokers also had greater odds of depression, anxiety and psychological distress than never smokers. There was evidence for positive associations of smoking heaviness with depression, anxiety and psychological distress (ORs per cigarette per day: 1.03 (95% CI 1.02 to 1.04), 1.03 (95% CI 1.02 to 1.04) and 1.02 (95% CI 1.02 to 1.03) respectively). In Mendelian randomisation analyses, there was no strong evidence that the minor allele of rs16969968/rs1051730 was associated with depression (OR=1.00, 95% CI 0.95 to 1.05), anxiety (OR=1.02, 95% CI 0.97 to 1.07) or psychological distress (OR=1.02, 95% CI 0.98 to 1.06) in current smokers. Results were similar for former smokers. CONCLUSIONS: Findings from Mendelian randomisation analyses do not support a causal role of smoking heaviness in the development of depression and anxiety.

Experimental manipulation of colony genetic diversity had no effect on short-term task efficiency in the Argentine ant Linepithema humile

Genetic diversity might increase the performance of social groups by improving task efficiency or disease resistance, but direct experimental tests of these hypotheses are rare. We manipulated the level of genetic diversity in colonies of the Argentine ant Linepithema humile, and then recorded the short-term task efficiency of these experimental colonies. The efficiency of low and high genetic diversity colonies did not differ significantly for any of the following tasks: exploring a new territory, foraging, moving to a new nest site, or removing corpses. The tests were powerful enough to detect large effects, but may have failed to detect small differences. Indeed, observed effect sizes were generally small, except for the time to create a trail during nest emigration. In addition, genetic diversity had no statistically significant impact on the number of workers, males and females produced by the colony, but these tests had low power. Higher genetic diversity also did not result in lower variance in task efficiency and productivity. In contrast to genetic diversity, colony size was positively correlated with the efficiency at performing most tasks and with colony productivity. Altogether, these results suggest that genetic diversity does not strongly improve short-term task efficiency in L. humile, but that worker number is a key factor determining the success of this invasive species.

Sample size and statistical power in the hierarchical analysis of variance: applications in morphometry of the nervous system.

Analysis of variance is commonly used in morphometry in order to ascertain differences in parameters between several populations. Failure to detect significant differences between populations (type II error) may be due to suboptimal sampling and lead to erroneous conclusions; the concept of statistical power allows one to avoid such failures by means of an adequate sampling. Several examples are given in the morphometry of the nervous system, showing the use of the power of a hierarchical analysis of variance test for the choice of appropriate sample and subsample sizes. In the first case chosen, neuronal densities in the human visual cortex, we find the number of observations to be of little effect. For dendritic spine densities in the visual cortex of mice and humans, the effect is somewhat larger. A substantial effect is shown in our last example, dendritic segmental lengths in monkey lateral geniculate nucleus. It is in the nature of the hierarchical model that sample size is always more important than subsample size. The relative weight to be attributed to subsample size thus depends on the relative magnitude of the between observations variance compared to the between individuals variance.

Causal relationship between obesity and vitamin D status: bi-directional Mendelian randomization analysis of multiple cohorts.

BACKGROUND: Obesity is associated with vitamin D deficiency, and both are areas of active public health concern. We explored the causality and direction of the relationship between body mass index (BMI) and 25-hydroxyvitamin D [25(OH)D] using genetic markers as instrumental variables (IVs) in bi-directional Mendelian randomization (MR) analysis. METHODS AND FINDINGS: We used information from 21 adult cohorts (up to 42,024 participants) with 12 BMI-related SNPs (combined in an allelic score) to produce an instrument for BMI and four SNPs associated with 25(OH)D (combined in two allelic scores, separately for genes encoding its synthesis or metabolism) as an instrument for vitamin D. Regression estimates for the IVs (allele scores) were generated within-study and pooled by meta-analysis to generate summary effects. Associations between vitamin D scores and BMI were confirmed in the Genetic Investigation of Anthropometric Traits (GIANT) consortium (n = 123,864). Each 1 kg/m(2) higher BMI was associated with 1.15% lower 25(OH)D (p = 6.52×10⁻²⁷). The BMI allele score was associated both with BMI (p = 6.30×10⁻⁶²) and 25(OH)D (-0.06% [95% CI -0.10 to -0.02], p = 0.004) in the cohorts that underwent meta-analysis. The two vitamin D allele scores were strongly associated with 25(OH)D (p≤8.07×10⁻⁵⁷ for both scores) but not with BMI (synthesis score, p = 0.88; metabolism score, p = 0.08) in the meta-analysis. A 10% higher genetically instrumented BMI was associated with 4.2% lower 25(OH)D concentrations (IV ratio: -4.2 [95% CI -7.1 to -1.3], p = 0.005). No association was seen for genetically instrumented 25(OH)D with BMI, a finding that was confirmed using data from the GIANT consortium (p≥0.57 for both vitamin D scores). CONCLUSIONS: On the basis of a bi-directional genetic approach that limits confounding, our study suggests that a higher BMI leads to lower 25(OH)D, while any effects of lower 25(OH)D increasing BMI are likely to be small. Population level interventions to reduce BMI are expected to decrease the prevalence of vitamin D deficiency.

The Middle East in the American quest for world order : ideas of power, economics, and social development in United States foreign policy, 1953-1961

Doctoral dissertation, University of Tampere

Batch effect confounding leads to strong bias in performance estimates obtained by cross-validation.

BACKGROUND: With the large amount of biological data that is currently publicly available, many investigators combine multiple data sets to increase the sample size and potentially also the power of their analyses. However, technical differences ("batch effects") as well as differences in sample composition between the data sets may significantly affect the ability to draw generalizable conclusions from such studies. FOCUS: The current study focuses on the construction of classifiers, and the use of cross-validation to estimate their performance. In particular, we investigate the impact of batch effects and differences in sample composition between batches on the accuracy of the classification performance estimate obtained via cross-validation. The focus on estimation bias is a main difference compared to previous studies, which have mostly focused on the predictive performance and how it relates to the presence of batch effects. DATA: We work on simulated data sets. To have realistic intensity distributions, we use real gene expression data as the basis for our simulation. Random samples from this expression matrix are selected and assigned to group 1 (e.g., 'control') or group 2 (e.g., 'treated'). We introduce batch effects and select some features to be differentially expressed between the two groups. We consider several scenarios for our study, most importantly different levels of confounding between groups and batch effects. METHODS: We focus on well-known classifiers: logistic regression, Support Vector Machines (SVM), k-nearest neighbors (kNN) and Random Forests (RF). Feature selection is performed with the Wilcoxon test or the lasso. Parameter tuning and feature selection, as well as the estimation of the prediction performance of each classifier, is performed within a nested cross-validation scheme. The estimated classification performance is then compared to what is obtained when applying the classifier to independent data.

Genome-wide association study to identify common variants associated with brachial circumference: a meta-analysis of 14 cohorts.

Brachial circumference (BC), also known as upper arm or mid arm circumference, can be used as an indicator of muscle mass and fat tissue, which are distributed differently in men and women. Analysis of anthropometric measures of peripheral fat distribution such as BC could help in understanding the complex pathophysiology behind overweight and obesity. The purpose of this study is to identify genetic variants associated with BC through a large-scale genome-wide association scan (GWAS) meta-analysis. We used fixed-effects meta-analysis to synthesise summary results across 14 GWAS discovery and 4 replication cohorts comprising overall 22,376 individuals (12,031 women and 10,345 men) of European ancestry. Individual analyses were carried out for men, women, and combined across sexes using linear regression and an additive genetic model: adjusted for age and adjusted for age and BMI. We prioritised signals for follow-up in two-stages. We did not detect any signals reaching genome-wide significance. The FTO rs9939609 SNP showed nominal evidence for association (p<0.05) in the age-adjusted strata for men and across both sexes. In this first GWAS meta-analysis for BC to date, we have not identified any genome-wide significant signals and do not observe robust association of previously established obesity loci with BC. Large-scale collaborations will be necessary to achieve higher power to detect loci underlying BC.