Usos não-convencionais da vírgula em textos de alunos de quinta série/sexto ano do ensino fundamental

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A vulnerabilidade no esporte e a exposição às novas mídias: um estudo sobre o twitter

Pós-graduação em Desenvolvimento Humano e Tecnologias - IBRC

Determinantes do estado de saúde de crianças ribeirinhas menores de dois anos de idade do Estado do Pará, Brasil: um estudo transversal

O objetivo foi identificar os determinantes da saúde ruim em populações ribeirinhas menores de dois anos, residentes no Pará, Brasil. Foram avaliadas 202 crianças, considerando-se saúde ruim como variável desfecho, sendo composta pela combinação do estado nutricional, desenvolvimento físico-motor e intercorrências no último mês. Utilizou-se modelo multinível de análise hierárquica, considerando-se como preditoras da saúde ruim variáveis com p < 0,05 após ajuste. A razão de chance bruta apontou que o estado de saúde ruim é maior para as crianças de famílias que têm casa própria, são de maior idade e têm probabilidade de aleitamento materno exclusivo aos dois, três, quatro e cinco meses. Após ajuste, observa-se que crianças provenientes de famílias com casa própria têm 2,76 vezes mais chance de ter saúde ruim; esta também aumenta com a idade, chegando a ser 5,04 vezes maior entre as crianças de 18 a 23 meses, comparativamente às menores de 7 meses. Ter casa própria e mais idade representam, nessas comunidades, mais tempo de exposição ao risco de saúde ruim.

Atividade física em gestantes assistidas na atenção primária à saúde

OBJETIVO Analisar o padrão de atividade física de gestantes de baixo risco e os fatores associados. MÉTODOS Estudo transversal com 256 gestantes adultas no segundo trimestre gestacional, sorteadas dentre as assistidas pelas unidades de atenção primária à saúde do município de Botucatu, SP, em 2010. As atividades físicas foram investigadas por meio do “pregnancy physical activity questionnaire”, verificando-se tempo e intensidade de atividades ocupacionais, de deslocamento, domésticas e de lazer, expressos em equivalentes metabólicos dia. As gestantes foram classificadas segundo nível de atividade e em relação a atingir 150 min/semana de atividades físicas de lazer, variáveis dependentes do estudo. A associação entre essas variáveis e as socioeconômicas, características maternas, fatores comportamentais e modelo de atenção da unidade de saúde foi avaliada mediante modelos de regressão de Poisson com variância robusta, adotando-se modelo hierárquico. RESULTADOS A maior parte das gestantes era insuficientemente ativa (77,7%), 12,5% moderadamente ativa e 9,8% vigorosamente ativa. Os maiores gastos diários de energia foram com atividades domésticas, seguidas pelas atividades de locomoção; 10,2% atingiram a recomendação de 150 min semanais de atividades físicas de lazer. Trabalho fora de casa reduziu a chance de atingir essa recomendação (RP = 0,39, IC95% 0,16;0,93). Ter tido pelo menos um parto anterior (RP = 0,87, IC95% 0,77;0,99) e excesso ponderal pré-gestacional (RP = 0,85, IC95% 0,731;0,99) reduziram a chance de ser insuficientemente ativa, enquanto consumir menos alimentos saudáveis teve aumento discreto (RP = 1,18, IC95% 1,02;1,36). CONCLUSÕES Gestantes assistidas na atenção primária à saúde são insuficientemente ativas. Ter tido pelo menos um parto e apresentar sobrepeso pré-gestacional foram identificados como fatores protetores contra tal situação, enquanto consumo menos frequente de alimentos saudáveis foi fator de risco, sugerindo aglomeração de fatores de risco à saúde.

Spatial distribution of dengue incidence and socio-environmental conditions in Campinas, São Paulo State, Brazil, 2007

This study aimed to analyze the spatial distribution of dengue risk and its association with socio-environmental conditions. This was an ecological study of the counts of autochthonous dengue cases in the municipality of Campinas, São Paulo State, Brazil, in the year 2007, aggregated according to 47 coverage areas of municipal health centers. Spatial models for mapping diseases were constructed with Bayesian hierarchical models, based on Integrated Nested Laplace Approximation (INLA). The analyses were stratified according to two age groups, 0 to 14 years and above 14 years. The results indicate that the spatial distribution of dengue risk is not associated with socio-environmental conditions in the 0 to 14 year age group. In the age group older than 14 years, the relative risk of dengue increases significantly as the level of socio-environmental deprivation increases. Mapping of socio-environmental deprivation and dengue cases proved to be a useful tool for data analysis in dengue surveillance systems.

Modelos bayesianos para análise de características reprodutivas de fêmeas Nelore

Pós-graduação em Genética e Melhoramento Animal - FCAV

Burnout in dental students: effectiveness of different methods

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estrutura genômica de uma população de suínos base Landrace

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Long-term recovery patterns of arctic tundra after winter seismic exploration

In response to the increasing global demand for energy, oil exploration and development are expanding into frontier areas of the Arctic, where slow-growing tundra vegetation and the underlying permafrost soils are very sensitive to disturbance. The creation of vehicle trails on the tundra from seismic exploration for oil has accelerated in the past decade, and the cumulative impact represents a geographic footprint that covers a greater extent of Alaska’s North Slope tundra than all other direct human impacts combined. Seismic exploration for oil and gas was conducted on the coastal plain of the Arctic National Wildlife Refuge, Alaska, USA, in the winters of 1984 and 1985. This study documents recovery of vegetation and permafrost soils over a two-decade period after vehicle traffic on snow-covered tundra. Paired permanent vegetation plots (disturbed vs. reference) were monitored six times from 1984 to 2002. Data were collected on percent vegetative cover by plant species and on soil and ground ice characteristics. We developed Bayesian hierarchical models, with temporally and spatially autocorrelated errors, to analyze the effects of vegetation type and initial disturbance levels on recovery patterns of the different plant growth forms as well as soil thaw depth. Plant community composition was altered on the trails by species-specific responses to initial disturbance and subsequent changes in substrate. Long-term changes included increased cover of graminoids and decreased cover of evergreen shrubs and mosses. Trails with low levels of initial disturbance usually improved well over time, whereas those with medium to high levels of initial disturbance recovered slowly. Trails on ice-poor, gravel substrates of riparian areas recovered better than those on ice-rich loamy soils of the uplands, even after severe initial damage. Recovery to pre-disturbance communities was not possible where trail subsidence occurred due to thawing of ground ice. Previous studies of disturbance from winter seismic vehicles in the Arctic predicted short-term and mostly aesthetic impacts, but we found that severe impacts to tundra vegetation persisted for two decades after disturbance under some conditions. We recommend management approaches that should be used to prevent persistent tundra damage.

The Ecological Basis for Biogeographic Classification: an Example in Orchid Bees (Apidae: Euglossini)

Biogeography has been difficult to apply as a methodological approach because organismic biology is incomplete at levels where the process of formulating comparisons and analogies is complex. The study of insect biogeography became necessary because insects possess numerous evolutionary traits and play an important role as pollinators. Among insects, the euglossine bees, or orchid bees, attract interest because the study of their biology allows us to explain important steps in the evolution of social behavior and many other adaptive tradeoffs. We analyzed the distribution of morphological characteristics in Colombian orchid bees from an ecological perspective. The aim of this study was to observe the distribution of these attributes on a regional basis. Data corresponding to Colombian euglossine species were ordered with a correspondence analysis and with subsequent hierarchical clustering. Later, and based on community proprieties, we compared the resulting hierarchical model with the collection localities to seek to identify a biogeographic classification pattern. From this analysis, we derived a model that classifies the territory of Colombia into 11 biogeographic units or natural clusters. Ecological assumptions in concordance with the derived classification levels suggest that species characteristics associated with flight performance, nectar uptake, and social behavior are the factors that served to produce the current geographical structure.

Facetten emotionaler Expressivität auf Fragebogenebene

Der Dimensionierung emotionaler Expressivität auf Fragebogenebene wurde in zwei Untersuchungen nachgegangen. Gross und John (1998) untersuchten die Items bestehender Fragebogen auf ihre dimensionale Struktur hin und ermittelten die fünf Facetten positive und negative Expressivität, Impulsstärke, Darstellungsfähigkeit (expressive confidence) und Verstellungstendenz (masking), wobei die drei erstgenannten in einem hierarchischen Modell einen engeren Zusammenhang mit einander aufwiesen (Kern-Expressivität) als die beiden anderen. Untersuchung 1 ging den Fragen nach, ob sich die gleichen Dimensionen auch mit deutschen Adaptationen der Fragebogen finden lassen, und ob sich die dimensionale Struktur ändert, wenn weitere Fragebogen aus dem Bereich der Expressivität hinzugenommen werden. Die Dimensionen von Gross und John (1998) konnten nur zum Teil repliziert werden. Dies und die Ergebnisse des erweiterten Itempools führten zur Formulierung eines modifizierten (erweiterten) Modells der Facetten emotionaler Expressivität. In Untersuchung 2 wurden Items für einen Fragebogen zu Facetten emotionaler Expressivität (FFEE) formuliert, welche die im modifizierten Modell spezifizierten Dimensionen erheben sollten. Die drei postulierten übergeordneten Bereiche Kern-Expressivität, soziale Expressivität und kognitive Expressivität konnten auch empirisch gefunden werden. Darüber hinaus differenzierten sich die negativen Items der Kern-Expressivität stärker als die positiven. Die Zusammenhänge mit externen Expressivitäts-Fragebogen, den globalen Persönlichkeitsmerkmalen Extraversion und Neurotizismus und den Angstbewältigungsdimensionen Vigilanz und kognitive Vermeidung bestätigten die Validität des FFEE. Theoretische Implikationen und Ansatzpunkte für weitere Forschungen wurden diskutiert.

Sviluppo di un approccio congiunto fuzzy-Bayesiano per l'analisi e la modellizzazione degli ecosistemi: applicazione ad ecosistemi marini costieri.

Nell’attuale contesto di aumento degli impatti antropici e di “Global Climate Change” emerge la necessità di comprenderne i possibili effetti di questi sugli ecosistemi inquadrati come fruitori di servizi e funzioni imprescindibili sui quali si basano intere tessiture economiche e sociali. Lo studio previsionale degli ecosistemi si scontra con l’elevata complessità di questi ultimi in luogo di una altrettanto elevata scarsità di osservazioni integrate. L’approccio modellistico appare il più adatto all’analisi delle dinamiche complesse degli ecosistemi ed alla contestualizzazione complessa di risultati sperimentali ed osservazioni empiriche. L’approccio riduzionista-deterministico solitamente utilizzato nell’implementazione di modelli non si è però sin qui dimostrato in grado di raggiungere i livelli di complessità più elevati all’interno della struttura eco sistemica. La componente che meglio descrive la complessità ecosistemica è quella biotica in virtù dell’elevata dipendenza dalle altre componenti e dalle loro interazioni. In questo lavoro di tesi viene proposto un approccio modellistico stocastico basato sull’utilizzo di un compilatore naive Bayes operante in ambiente fuzzy. L’utilizzo congiunto di logica fuzzy e approccio naive Bayes è utile al processa mento del livello di complessità e conseguentemente incertezza insito negli ecosistemi. I modelli generativi ottenuti, chiamati Fuzzy Bayesian Ecological Model(FBEM) appaiono in grado di modellizare gli stati eco sistemici in funzione dell’ elevato numero di interazioni che entrano in gioco nella determinazione degli stati degli ecosistemi. Modelli FBEM sono stati utilizzati per comprendere il rischio ambientale per habitat intertidale di spiagge sabbiose in caso di eventi di flooding costiero previsti nell’arco di tempo 2010-2100. L’applicazione è stata effettuata all’interno del progetto EU “Theseus” per il quale i modelli FBEM sono stati utilizzati anche per una simulazione a lungo termine e per il calcolo dei tipping point specifici dell’habitat secondo eventi di flooding di diversa intensità.

Experimental Analysis and Numerical Simulation of Quench in Superconducting HTS Tapes and Coils

The quench characteristics of second generation (2 G) YBCO Coated Conductor (CC) tapes are of fundamental importance for the design and safe operation of superconducting cables and magnets based on this material. Their ability to transport high current densities at high temperature, up to 77 K, and at very high fields, over 20 T, together with the increasing knowledge in their manufacturing, which is reducing their cost, are pushing the use of this innovative material in numerous system applications, from high field magnets for research to motors and generators as well as for cables. The aim of this Ph. D. thesis is the experimental analysis and numerical simulations of quench in superconducting HTS tapes and coils. A measurements facility for the characterization of superconducting tapes and coils was designed, assembled and tested. The facility consist of a cryostat, a cryocooler, a vacuum system, resistive and superconducting current leads and signal feedthrough. Moreover, the data acquisition system and the software for critical current and quench measurements were developed. A 2D model was developed using the finite element code COMSOL Multiphysics R . The problem of modeling the high aspect ratio of the tape is tackled by multiplying the tape thickness by a constant factor, compensating the heat and electrical balance equations by introducing a material anisotropy. The model was then validated both with the results of a 1D quench model based on a non-linear electric circuit coupled to a thermal model of the tape, to literature measurements and to critical current and quench measurements made in the cryogenic facility. Finally the model was extended to the study of coils and windings with the definition of the tape and stack homogenized properties. The procedure allows the definition of a multi-scale hierarchical model, able to simulate the windings with different degrees of detail.

Interaction Between Nitrous Oxide, Sevoflurane, and Opioids: A Response Surface Approach

BACKGROUND:: The interaction of sevoflurane and opioids can be described by response surface modeling using the hierarchical model. We expanded this for combined administration of sevoflurane, opioids, and 66 vol.% nitrous oxide (N2O), using historical data on the motor and hemodynamic responsiveness to incision, the minimal alveolar concentration, and minimal alveolar concentration to block autonomic reflexes to nociceptive stimuli, respectively. METHODS:: Four potential actions of 66 vol.% N2O were postulated: (1) N2O is equivalent to A ng/ml of fentanyl (additive); (2) N2O reduces C50 of fentanyl by factor B; (3) N2O is equivalent to X vol.% of sevoflurane (additive); (4) N2O reduces C50 of sevoflurane by factor Y. These four actions, and all combinations, were fitted on the data using NONMEM (version VI, Icon Development Solutions, Ellicott City, MD), assuming identical interaction parameters (A, B, X, Y) for movement and sympathetic responses. RESULTS:: Sixty-six volume percentage nitrous oxide evokes an additive effect corresponding to 0.27 ng/ml fentanyl (A) with an additive effect corresponding to 0.54 vol.% sevoflurane (X). Parameters B and Y did not improve the fit. CONCLUSION:: The effect of nitrous oxide can be incorporated into the hierarchical interaction model with a simple extension. The model can be used to predict the probability of movement and sympathetic responses during sevoflurane anesthesia taking into account interactions with opioids and 66 vol.% N2O.

Influence of reported study design characteristics on intervention effect estimates from randomized, controlled trials

Published evidence suggests that aspects of trial design lead to biased intervention effect estimates, but findings from different studies are inconsistent. This study combined data from 7 meta-epidemiologic studies and removed overlaps to derive a final data set of 234 unique meta-analyses containing 1973 trials. Outcome measures were classified as "mortality," "other objective," "or subjective," and Bayesian hierarchical models were used to estimate associations of trial characteristics with average bias and between-trial heterogeneity. Intervention effect estimates seemed to be exaggerated in trials with inadequate or unclear (vs. adequate) random-sequence generation (ratio of odds ratios, 0.89 [95% credible interval {CrI}, 0.82 to 0.96]) and with inadequate or unclear (vs. adequate) allocation concealment (ratio of odds ratios, 0.93 [CrI, 0.87 to 0.99]). Lack of or unclear double-blinding (vs. double-blinding) was associated with an average of 13% exaggeration of intervention effects (ratio of odds ratios, 0.87 [CrI, 0.79 to 0.96]), and between-trial heterogeneity was increased for such studies (SD increase in heterogeneity, 0.14 [CrI, 0.02 to 0.30]). For each characteristic, average bias and increases in between-trial heterogeneity were driven primarily by trials with subjective outcomes, with little evidence of bias in trials with objective and mortality outcomes. This study is limited by incomplete trial reporting, and findings may be confounded by other study design characteristics. Bias associated with study design characteristics may lead to exaggeration of intervention effect estimates and increases in between-trial heterogeneity in trials reporting subjectively assessed outcomes.