Baccharis dracunculifolia: uma das principais fontes vegetais da própolis brasileira

Pós-graduação em Zootecnia - FMVZ

Retenção de placenta no proteinograma de vacas Holandesas

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Static Video Summarization through Optimum-Path Forest Clustering

This paper introduces the Optimum-Path Forest (OPF) classifier for static video summarization, being its results comparable to the ones obtained by some state-of-the-art video summarization techniques. The experimental section has been conducted using several image descriptors in two public datasets, followed by an analysis of OPF robustness regarding one ad-hoc parameter. Future works are guided to improve OPF effectiveness on each distinct video category.

Social-spider optimization-based artificial neural networks training and its applications for Parkinson's disease identification

Evolutionary algorithms have been widely used for Artificial Neural Networks (ANN) training, being the idea to update the neurons' weights using social dynamics of living organisms in order to decrease the classification error. In this paper, we have introduced Social-Spider Optimization to improve the training phase of ANN with Multilayer perceptrons, and we validated the proposed approach in the context of Parkinson's Disease recognition. The experimental section has been carried out against with five other well-known meta-heuristics techniques, and it has shown SSO can be a suitable approach for ANN-MLP training step.

Optimum-Path Forest Applied for Breast Masses Classification

In Computer-Aided Diagnosis-based schemes in mammography analysis each module is interconnected, which directly affects the system operation as a whole. The identification of mammograms with and without masses is highly needed to reduce the false positive rates regarding the automatic selection of regions of interest for further image segmentation. This study aims to evaluate the performance of three techniques in classifying regions of interest as containing masses or without masses (without clinical findings), as well as the main contribution of this work is to introduce the Optimum-Path Forest (OPF) classifier in this context, which has never been done so far. Thus, we have compared OPF against with two sorts of neural networks in a private dataset composed by 120 images: Radial Basis Function and Multilayer Perceptron (MLP). Texture features have been used for such purpose, and the experiments have demonstrated that MLP networks have been slightly better than OPF, but the former is much faster, which can be a suitable tool for real-time recognition systems.

Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Automatic visual dictionary generation through optimum-path forest clusteringautomatic visual dictionary generation through optimum-path forest clustering

Image categorization by means of bag of visual words has received increasing attention by the image processing and vision communities in the last years. In these approaches, each image is represented by invariant points of interest which are mapped to a Hilbert Space representing a visual dictionary which aims at comprising the most discriminative features in a set of images. Notwithstanding, the main problem of such approaches is to find a compact and representative dictionary. Finding such representative dictionary automatically with no user intervention is an even more difficult task. In this paper, we propose a method to automatically find such dictionary by employing a recent developed graph-based clustering algorithm called Optimum-Path Forest, which does not make any assumption about the visual dictionary's size and is more efficient and effective than the state-of-the-art techniques used for dictionary generation.

Harmony Search applied for Support Vector Machines Training Optimization

Since the beginning, some pattern recognition techniques have faced the problem of high computational burden for dataset learning. Among the most widely used techniques, we may highlight Support Vector Machines (SVM), which have obtained very promising results for data classification. However, this classifier requires an expensive training phase, which is dominated by a parameter optimization that aims to make SVM less prone to errors over the training set. In this paper, we model the problem of finding such parameters as a metaheuristic-based optimization task, which is performed through Harmony Search (HS) and some of its variants. The experimental results have showen the robustness of HS-based approaches for such task in comparison against with an exhaustive (grid) search, and also a Particle Swarm Optimization-based implementation.

Bulbilhos aéreos de alho, provenientes de escapes florais, são infectados por vírus

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Estimativa dos impactos das mudanças climáticas na distribuição das espécies montanas do gênero Brachycephalus (Amphibia: anura) através da modelagem de nicho ecológico

The genus Brachycephalus is endemic to the Atlantic rainforest and is distributed mainly in the southeastern and southern Brazil. Currently, it has 17 recognized species, most of them, associated with mountainous habitats along the Serra do Mar and Serra da Mantiqueira ridges. Here we use an ecological niche modelling approach based on climatic variables, to assess the potential niche of the mountainous species of this genus. The model generated was then projected to future scenarios considering the last IPCC report, in order to estimate the impacts of climate changes on these species distribution. Results show a decrease in the total suitable area for the mountainous Brachycephalus species, as well as tendencies already observed for other organisms, such as, pole and upward migrations. A southern area on Planalto de Paranapiacaba increases in suitability for these species. We suggest special efforts on new surveys and conservation on the northern part of their distribution, once this seems to be the region more affected by climate changes on the projected scenarios

O conceito de Ciência no seu processo de realização

A ciência é desenvolvida na relação entre pesquisador e objeto de estudo. Tal relação pode se dar de três formas, sendo elas objetiva, subjetiva e dialética. Ao se destacar num trabalho científico qual a relação que o autor desenvolve com seu objeto de estudo, é possível evidenciar indícios de seu conceito de ciência já que, muitas vezes, é a forma com que o pesquisador se relaciona com o objeto que irá guiar suas práticas e o conduzir pelo caminho a ser seguido. Para isso realizou-se uma breve revisão das relações entre o sujeito conhecedor e objeto conhecido presentes historicamente na atividade científica. Foram coletados e analisados trabalhos de diversos pesquisadores de um centro de investigação científica e classificados numa das formas de relação entre sujeito e objeto sendo os de atitude realista de maior número, seguidos pelos idealistas e por fim pelos que privilegiam a relação. Os trabalhos realistas apresentam, de forma geral, uma pequena preocupação com a reflexão sobre o significado de sua própria prática. Acredita-se que a ciência realizada nestes trabalhos seja da maior qualidade e sugere-se, para uma realização ainda mais totalizante, que ocorra a prática de incorporação de cada vez mais da ciência da ciência em seu cotidiano. Serão suas reflexões que nos possibilitarão um desenvolver de uma ciência mais significativa e transformadora, cabendo aos pesquisadores, utilizarem da ciência da ciência para pensarem as práticas e a tornarem cada vez mais dialógicas e complexas, assim como a natureza o é

O esporte como ferramenta pedagógica na escola

O ensino de esportes vem sendo reformulado e transformado mundialmente para que novas possibilidades de inclusão através da prática de esportes sejam evoluídas. No Brasil, há algum tempo cientistas do esporte e pedagogos da Educação Física têm colaborado nesse tema, estando em contato direto com as novas abordagens científicas de ensino. Esse estudo tem por objetivo buscar entender as relações entre esporte e sociedade, e de que maneira o estudo dessas relações podem contribuir para uma mudança da pedagogia da Educação Física Escolar. Para isso foi feito uma revisão bibliográfica dos principais temas e autores relevantes para o desenvolvimento da pesquisa.

Revista H2

The objective of this project is to foment and promote the themes related to the Hip Hop movement through a product, the H2 Magazine. Based on several forms of journalism, like photos, reports and interviews, we intend to demonstrate the use of Hip Hop as a vindicatory tool for young people living in the outskirts of towns. Moreover, we seek showing distinct visions and develop the issues in a broad and comprehensive way. H2 is an open space for reflections about Hip Hop, a cultural movement present in Bauru, as well as your importance in the social and cultural development of the citizens

Riscos e desastres ambientais causados por inundações em áreas urbanas: um estudo da paisagem sob a visão sistêmica

For a long time, humankind has lived together with flooding, and lately, those events have grown enormously, in particular, in the urban areas from lots of Brazilian cities. The flooding has been causing uncountable disadvantages to population and to the cities. The present paper aimed to study, through a bibliographic review, the risks and natural disasters caused by those events. Trying to approach their causes and effects under a systemic view it emphasized the landscape point.

O evento 11 de setembro: (re)criação da história no romance Extremely Loud & Incredibly Close (2005), de Jonathan Safran Foer

Pós-graduação em Letras - IBILCE