汶川地震后青少年创伤后应激障碍症状及其相关因素研究

The present paper studies focus on the symptoms of the post-traumatic stress disorder in adolescents post-disaster. 482 students from 6 secondary schools and 17 primary schools in the extremely severe disaster areas in Mianzhu, Sichuan province and 785 students from 3 primary schools and 9 secondary schools in the severe disaster areas in Baoji, Shaanxi respectively were surveyed on the symptoms of the post-traumatic stress disorder and the extent of disaster exposure after the Wenchuan earthquake. Self-compiled background information questionnaire and CRIES were used for the investigation. In this study, we contrast the extent of disaster exposure in the two areas in order to explore the related factors about the post-traumatic stress disorder in adolescent post-disaster. The main results of this paper can be summarized as follows： 1. There are significant positive corrections between the post-traumatic stress disorder and the extent of disaster exposure(get trapped in the earthquake、relatives and friends have been injured in the earthquake、look at relatives and friends dying in the earthquake).The more exposed in the disaster, the more serious symptom of the post-traumatic stress disorder. The trauma exposure indicators (get trapped in the earthquake, relatives and friends have been injured in the earthquake、look at relatives and friends dying in the earthquake)were all significant predictors for PTSD severity. 2. There are significant sex difference in the extent（F=8.750, p <0.05） and the incidence rate of PTSD（χ =20.735, df=5,p =0.001）, the extent and the incidence rate of girls in Mianzhu is significantly higher than that of boys. 3. The age is also an influence factor of PTSD. The extent （F=7.246, p <0.001）and the incidence rate （χ =20.735, df=5,p =0.001）of PTSD get higher as adolescent in Mianzhu get older. 4. As the extremely severe disaster areas, the extent of disaster exposure of Mianzhu areas significantly higher than that of the severe disaster areas Baoji. However, there are not difference in the extent of PTSD between two areas（t=0.181，df=1265,p=0.857）, there are only significant difference in the incidence rate of PTSD between two areas（χ =8.766，df=1,p=0.003）, the incidence rate of PTSD in Mianzhu areas significantly higher than that of Baoji areas.

Resistência de acessos de Lycopersicon a Stemphylium solani e S. lycopersici.

A mancha-de-estenfílio, causada por Stemphylium solani e/ou S. lycopersici, é uma conhecida doença do tomateiro que voltou a ser importante, principalmente porque os atuais híbridos plantados no país não apresentam resistência. O controle da mancha-de-estenfílio se baseia no uso de cultivares resistentes ou outras medidas de manejo como o controle químico e a rotação de cultura. Este trabalho teve como objetivo selecionar novas fontes de resistência à doença in Lycopersicon. Entre os acessos de Lycopersicon avaliados para resistência 18 (54,5%) comportaram-se como suscetíveis, três (9,1%) comportaram-se como intermediários e 12 (36,4%) foram resistentes para as duas espécies fúngicas. Todos os acessos resistentes a S. solani também foram resistentes a S. lycopersici. Foram identificados acessos resistentes e intermediários nas espécies L. esculentum (muito provavelmente portando o gene Sm), L. peruvianum e L. hirsutum.

Movimento vertical do herbicida hexazinone em latossolo vermelho distrófico do córrego Espraiado, Ribeirão Preto, SP, cultivado com cana-de-açúcar - simulações considerando dados local e default.

Este trabalho utilizou técnica de simulação computacional para analisar a movimentação vertical do herbicida hexazinone, considerando dados médios default de literatura e dados calculados para suas meia-vida no solo (t½) e coeficiente de adsorção ao carbono orgânico do solo (Koc) em Latossolo Vermelho Distrófico (LVd) do Córrego do Espraiado, Ribeirão Preto-SP. Informações sobre o solo avaliado, climáticas e os dados da cultura de cana-deaçúcar foram utilizadas no simulador CMLS-94. O cenário base de simulação considerou um período de um ano e quatro meses, apresentando data de corte da cultura no mês de agosto e a aplicação de hexazinone, um mês após o corte, na dose de 0,40 kg ha-1, a qual é encontrada em produto comercial utilizado no local. As seguintes profundidades e quantidades finais foram obtidas ao final do período simulado: a) cenário com dado ?default?: 1,89 m e 0,12 kg ha-1; b) cenário com dado local calculado: 2,78 m e 0,18 kg ha-1. Observou-se uma maior movimentação do produto para o cenário simulado com dados locais, principalmente a partir do 63o dia após a aplicação do produto, embora as concentrações tenham se mantido próximas, em ambos cenários. As profundidades alcançadas não comprometem o lençol em sua zona saturada (40m).

Gait Dynamics for Recognition and Classification

This paper describes a representation of the dynamics of human walking action for the purpose of person identification and classification by gait appearance. Our gait representation is based on simple features such as moments extracted from video silhouettes of human walking motion. We claim that our gait dynamics representation is rich enough for the task of recognition and classification. The use of our feature representation is demonstrated in the task of person recognition from video sequences of orthogonal views of people walking. We demonstrate the accuracy of recognition on gait video sequences collected over different days and times, and under varying lighting environments. In addition, preliminary results are shown on gender classification using our gait dynamics features.

Recovering Intrinsic Images from a Single Image

We present an algorithm that uses multiple cues to recover shading and reflectance intrinsic images from a single image. Using both color information and a classifier trained to recognize gray-scale patterns, each image derivative is classified as being caused by shading or a change in the surface's reflectance. Generalized Belief Propagation is then used to propagate information from areas where the correct classification is clear to areas where it is ambiguous. We also show results on real images.

Shape Recipes: Scene Representations that Refer to the Image

The goal of low-level vision is to estimate an underlying scene, given an observed image. Real-world scenes (e.g., albedos or shapes) can be very complex, conventionally requiring high dimensional representations which are hard to estimate and store. We propose a low-dimensional representation, called a scene recipe, that relies on the image itself to describe the complex scene configurations. Shape recipes are an example: these are the regression coefficients that predict the bandpassed shape from bandpassed image data. We describe the benefits of this representation, and show two uses illustrating their properties: (1) we improve stereo shape estimates by learning shape recipes at low resolution and applying them at full resolution; (2) Shape recipes implicitly contain information about lighting and materials and we use them for material segmentation.

Fast Pose Estimation with Parameter Sensitive Hashing

Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensional problems such as pose estimation, the number of required examples and the computational complexity rapidly becme prohibitively high. We introduce a new algorithm that learns a set of hashing functions that efficiently index examples relevant to a particular estimation task. Our algorithm extends a recently developed method for locality-sensitive hashing, which finds approximate neighbors in time sublinear in the number of examples. This method depends critically on the choice of hash functions; we show how to find the set of hash functions that are optimally relevant to a particular estimation problem. Experiments demonstrate that the resulting algorithm, which we call Parameter-Sensitive Hashing, can rapidly and accurately estimate the articulated pose of human figures from a large database of example images.

A Robust Amorphous Hierarchy from Persistent Nodes

For a very large network deployed in space with only nearby nodes able to talk to each other, we want to do tasks like robust routing and data storage. One way to organize the network is via a hierarchy, but hierarchies often have a few critical nodes whose death can disrupt organization over long distances. I address this with a system of distributed aggregates called Persistent Nodes, such that spatially local failures disrupt the hierarchy in an area proportional to the diameter of the failure. I describe and analyze this system, which has been implemented in simulation.

The Essential Dynamics Algorithm: Essential Results

This paper presents a novel algorithm for learning in a class of stochastic Markov decision processes (MDPs) with continuous state and action spaces that trades speed for accuracy. A transform of the stochastic MDP into a deterministic one is presented which captures the essence of the original dynamics, in a sense made precise. In this transformed MDP, the calculation of values is greatly simplified. The online algorithm estimates the model of the transformed MDP and simultaneously does policy search against it. Bounds on the error of this approximation are proven, and experimental results in a bicycle riding domain are presented. The algorithm learns near optimal policies in orders of magnitude fewer interactions with the stochastic MDP, using less domain knowledge. All code used in the experiments is available on the project's web site.

Activity Zones for Context-Aware Computing

Location is a primary cue in many context-aware computing systems, and is often represented as a global coordinate, room number, or Euclidean distance various landmarks. A user?s concept of location, however, is often defined in terms of regions in which common activities occur. We show how to partition a space into such regions based on patterns of observed user location and motion. These regions, which we call activity zones, represent regions of similar user activity, and can be used to trigger application actions, retrieve information based on previous context, and present information to users. We suggest that context-aware applications can benefit from a location representation learned from observing users. We describe an implementation of our system and present two example applications whose behavior is controlled by users? entry, exit, and presence in the zones.

Contextual Influences on Saliency

This article describes a model for including scene/context priors in attention guidance. In the proposed scheme, visual context information can be available early in the visual processing chain, in order to modulate the saliency of image regions and to provide an efficient short cut for object detection and recognition. The scene is represented by means of a low-dimensional global description obtained from low-level features. The global scene features are then used to predict the probability of presence of the target object in the scene, and its location and scale, before exploring the image. Scene information can then be used to modulate the saliency of image regions early during the visual processing in order to provide an efficient short cut for object detection and recognition.

Early determinants of overweight and obesity at 5 years old in preschoolers from inner of Minas Gerais, Brazil

Introduction: Brazil is experiencing a nutritional transition characterized by a reduction in the prevalence of nutritional deficits and an increase in overweight and obesity, not only in adults but also in children and adolescents.Objectives: This study was designed to evaluate the factors associated with overweight and obesity in Brazilian 5-year-old preschoolers.Methods: A cross-sectional study of a cohort of 232 preschoolers born in Diamantina/Minas Gerais, Brazil, was undertaken. the data, including socioeconomic status, anthropometry, diet, previous history of the preschoolers and family history, were collected between July of 2009 and July of 2010. To identify the factors associated with overweight and obesity, a logistic regression and a hierarchical model were undertaken.Results: Overweight and obesity occurred in 17.2% of the preschoolers. After adjusting for mother's obesity, per capita income, protective food intake, weight gain at age 0-4 months and time spent playing, the factors associated with overweight and obesity that reached statistical significance were mother's obesity [OR = 3.12 (95% CI 1.41-6.91), P = 0.01], weight gain of more than 0.85 kg/month in the first four months of life [OR = 2.16 (95% CI 1.01-4.64), P = 0.041 and lower per capita income [OR = 0.32 (95 %CI 0.13-0.79), P = 0.01].Conclusion: the results show that more weight gain during the first four months of life and being born of mothers with obesity increased the odds of overweight/obesity in the preschoolers, while lower per capita income was a protective factor.

Reaction time and replenishment time of SP and CGRP after incision in rat skin

Background. the skin neurogenic inflammation is mainly related to Substance P (SP) and Calcitonin Gene-related Peptide (CGRP). There is no data on their availability in the dynamics of skin nerve endings, concerning their release and replenishment after a nociceptive stimulus, so this was investigated. Materials and methods. 25 rats were randomly distributed in 5 groups. the animals of the control group (CG) determined the baseline levels of neuropeptides in the skin. the groups S0 and S30 did not receive any cutaneous stimulus at 30 and 60 minutes, respectively. in the group S1, an incision stimulus was made at 30 minutes. in the group S31, a nociceptive stimulus was performed by subdermal scratching at 30 minutes and, at 60 minutes, the incision stimulus was carried out in the same location (nociceptive hyperstimulation). the skin samples of the other animals were harvested from the back 1 minute after their death. SP, pro-CGRP and CGRP were quantified by Western Blotting. Results. the incision stimulus released SP, S1 compared to S0 (p < 0.05) detected in the first minute, and the replenishment time was more than 30 minutes. Also, it cleaved pro-CGRP, S1 compared to S31 (p < 0.05) in the first minute, and its replenishment time less than 30 minutes. Release of CGRP was not detected. Conclusion. the incision released SP already detected in the first minute; its replenishment time is more than 30 minutes. the incision decreased pro-CGRP, also detected in the first minute; and its replenishment time is less than 30 minutes.

The Dirichlet problem in convex bounded domains for operators with L^\infty-coefficients

M.Hieber, I.Wood: The Dirichlet problem in convex bounded domains for operators with L^\infty-coefficients, Diff. Int. Eq., 20, 7 (2007),721-734.

Estudo da prevalência da discrepância anterior de Bolton numa população ortodôntica portuguesa

Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Medicina Dentária