Eimeria species in young and adult sheep raised under intensive and/or semi-intensive systems of a herd from Umuarama city, Parana State, Brazil

The present study aimed to identify Eimeria species in young and adult sheep raised under intensive and / or semi-intensive systems of a herd from Umuarama city, Parana State, Brazil using the traditional diagnostic methods and to correlate the infection level/types of infection in the different age/system in this herd. Fecal samples were collected from the rectum of 210 sheep and were subjected to laboratory analysis to differentiate the species. Furthermore, animals were observed to determine the occurrences of the clinical or subclinical forms of eimeriosis. Out of the 210 collected fecal samples, 147 (70%) were positive for Eimeria oocysts, and 101 (47.86%) belonged to young animals that were raised under intensive and / or semi-intensive farming systems. Oocysts from 9 species of Eimeria parasites were identified in the sheep at the following prevalence rates: E. crandallis, 50.0%; E. parva, 21.6%; E. faurei, 8.1%; E. ahsata, 8.1%; E. intricata, 5.4%; E. granulosa, 2.7%; E. ovinoidalis, 2.0%; E. ovina, 1.3%; and E. bakuensis, 0.6%. There were no differences regarding the more frequent Eimeria species among the different ages of animals or between the different farming management systems. Based on these data, E. crandallis was the most prevalent, followed by E. parva and E. faurei species, regardless of the age. Higher parasitism was diagnosed in the young animals that were raised in a confinement regime, and the disease found in the herd was classified as subclinical. Further studies should be conducted in this herd, to verify if the eimeriosis subclinical can cause damage especially in young animals with a high level of infection.

The bias in reversing the Box-Cox transformation in time series forecasting: An empirical study based on neural networks

The Box-Cox transformation is a technique mostly utilized to turn the probabilistic distribution of a time series data into approximately normal. And this helps statistical and neural models to perform more accurate forecastings. However, it introduces a bias when the reversion of the transformation is conducted with the predicted data. The statistical methods to perform a bias-free reversion require, necessarily, the assumption of Gaussianity of the transformed data distribution, which is a rare event in real-world time series. So, the aim of this study was to provide an effective method of removing the bias when the reversion of the Box-Cox transformation is executed. Thus, the developed method is based on a focused time lagged feedforward neural network, which does not require any assumption about the transformed data distribution. Therefore, to evaluate the performance of the proposed method, numerical simulations were conducted and the Mean Absolute Percentage Error, the Theil Inequality Index and the Signal-to-Noise ratio of 20-step-ahead forecasts of 40 time series were compared, and the results obtained indicate that the proposed reversion method is valid and justifies new studies. (C) 2014 Elsevier B.V. All rights reserved.

Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data

Concept drift, which refers to non stationary learning problems over time, has increasing importance in machine learning and data mining. Many concept drift applications require fast response, which means an algorithm must always be (re)trained with the latest available data. But the process of data labeling is usually expensive and/or time consuming when compared to acquisition of unlabeled data, thus usually only a small fraction of the incoming data may be effectively labeled. Semi-supervised learning methods may help in this scenario, as they use both labeled and unlabeled data in the training process. However, most of them are based on assumptions that the data is static. Therefore, semi-supervised learning with concept drifts is still an open challenging task in machine learning. Recently, a particle competition and cooperation approach has been developed to realize graph-based semi-supervised learning from static data. We have extend that approach to handle data streams and concept drift. The result is a passive algorithm which uses a single classifier approach, naturally adapted to concept changes without any explicit drift detection mechanism. It has built-in mechanisms that provide a natural way of learning from new data, gradually "forgetting" older knowledge as older data items are no longer useful for the classification of newer data items. The proposed algorithm is applied to the KDD Cup 1999 Data of network intrusion, showing its effectiveness.

As ações em educação ambiental realizadas por Organizações Não-Governamentais no estado de São Paulo: alcances e limitações

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudo comparativo da inclinação do plano oclusal de modelos para cirurgia ortognática montados em dois tipos de articuladores semi-ajustáveis

Purpose: The aim of this study was to compare occlusal plane angulation measured in two different types of semi-adjustable articulators with that obtained on the lateral cephalometric radiograph. Materials and Methods: 20 patients due to undergo orthognathic surgery had dental casts mounted in two different types of semi-adjustable articulators through face bow transfer from the position of the maxilla and occlusal recording to the mandible. After mounting, the inclination of the occlusal plane in the articulators was measured and compared with the inclination measured at on both articulators and compared with the inclination measured on the lateral cephalometric radiographs and between the articulators themselves. The results obtained werestatistically analyzed. Results: Mean angulation values for the Bio Art (7.55º) and Kavo (-5.70º) articulators differ by 13.25º, which is statistically significant (p=0.00). When individually compared to the lateral cephalometric radiograph (5.075º), the Bio Art articulator showed more similar angulation values, with a difference of 2.475º, while the Kavo articulator presented a difference of 10.775º. Conclusion: Neither of the models of semi-adjustable articulators accurately reproduced the inclination of the maxillary occlusal plane of patients with dentofacial deformities; the difference between the two articulators tested and the lateral cephalometric radiograph was lower for the Bio Art than for the Kavo articulator.

As avaliações externas e suas implicações para a organização do trabalho numa escola da rede estadual paulista: um estudo de caso

This research analyses the positives and/or negatives of external reviews to work's organization developed at the/and by the school. It should be noted that it's a qualitative case of empirical research, and it takes the pattern of case's study, because we held the investigation just in one school, which in turn, belongs to the education's public network by the state, and is located at the São Paulo northwest. The tools employed at this research for the data's collect were the observation, restricted to times of Pedagogical Work Activities Collective from the school, and the semi structured interviews with educational coordinators and the teachers too. We choose educational coordinators and teachers because they are closer with the education and learning methods, as well as their activities have more responsibility in relation to the main function developed by school, that is to teach, in other words, educational processes. This research also concerns an investigation about the educational coordinators and teachers conceptions, in relation to system's implantation external reviews at the schools. The results indicate to incidence of significant interference of the external reviews to/in the organization school's work, as, a teaching practice reorientation from results arising these reviews, or, modifications in the internal rating, since they have followed a tendency towards becoming more similar with their own external reviews. In what concerns the subjects investigated, we can emphasize that mostly submitted alienation with respect to negative effects of the external reviews for school. They showed that are conformed with the reality that they are inserted and in your mostly they proved perceive the positive effects by the implantation of external reviews. We can also add that the data obtained in the research allow us declare that the work of the educational coordinators of this school in presence of external reviews don't...

Morphological effects of neem (Azadirachta indica A. Juss) seed oil with known azadirachtin concentrations on the oocytes of semi-engorged Rhipicephalus sanguineus ticks (Acari: Ixodidae)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Potential of the chemical dinotefuran in the control of Rhipicephalus sanguineus (Latreille, 1806) (Acari: Ixodidae) semi-engorged female ticks

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Particle competition and cooperation for semi-supervised learning with label noise

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

Using ionic liquid combined with HPLC-DAD to analyze semi-permanent hair dyes in commercial formulations

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Semi-supervised learning for relevance feedback on image retrieval tasks

Relevance feedback approaches have been established as an important tool for interactive search, enabling users to express their needs. However, in view of the growth of multimedia collections available, the user efforts required by these methods tend to increase as well, demanding approaches for reducing the need of user interactions. In this context, this paper proposes a semi-supervised learning algorithm for relevance feedback to be used in image retrieval tasks. The proposed semi-supervised algorithm aims at using both supervised and unsupervised approaches simultaneously. While a supervised step is performed using the information collected from the user feedback, an unsupervised step exploits the intrinsic dataset structure, which is represented in terms of ranked lists of images. Several experiments were conducted for different image retrieval tasks involving shape, color, and texture descriptors and different datasets. The proposed approach was also evaluated on multimodal retrieval tasks, considering visual and textual descriptors. Experimental results demonstrate the effectiveness of the proposed approach.

História e natureza da ciência no ensino de biologia: perfil e concepções de professores em serviço e de materiais didáticos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Algoritmos de aprendizado semi-supervisionado baseados em grafos aplicados na bioinformática

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

A importância da mediação: a situação do professor mediador escolar e comunitário na Rede Estadual Paulista de Ensino

This study aims to analyze the implementation of mediation in the school environment of São Paulo State Education Network through the figure of Teacher School and Community Mediator (PMEC). Mediation arises, as an alternative and effective method for conflict resolution from existing interpersonal relationships at school. The methodology used was the exploratory and empirical research literature on the subject mediation and the analysis of the resolutions of the Secretariat of São Paulo State Education establishing the School Protection System (SPE) and made possible the performance of the PMEC within that environment. Authors like Bonafé-Schmitt (2010); Caetano, Freire and Ferreira (2009); Calcaterra (2002); Freire (2010); Jares (2002); Lederach (1996); Littlejohn and Domenici (1999); Morgado and Oliveira (2009); Torremorell (2008) and Vecchi and Greco (1999) were selected in order to provide greater familiarity with the subject mediation and conflict mediation later in the school environment. The concept of mediation, mediation templates and profiles of mediators will be explained as well as PMEC function features as regards the selection methods training main assisted cases, assignments that are stipulated by the guiding documents and what actually happens in daily practice verified the reports obtained through a semi-structured interview. Finally, we present the PMEC situation regarding the review by the leaders and attended school community and the acceptance of their work within that environment

A importância da mediação: a situação do professor mediador escolar e comunitário na Rede Estadual Paulista de Ensino

This study aims to analyze the implementation of mediation in the school environment of São Paulo State Education Network through the figure of Teacher School and Community Mediator (PMEC). Mediation arises, as an alternative and effective method for conflict resolution from existing interpersonal relationships at school. The methodology used was the exploratory and empirical research literature on the subject mediation and the analysis of the resolutions of the Secretariat of São Paulo State Education establishing the School Protection System (SPE) and made possible the performance of the PMEC within that environment. Authors like Bonafé-Schmitt (2010); Caetano, Freire and Ferreira (2009); Calcaterra (2002); Freire (2010); Jares (2002); Lederach (1996); Littlejohn and Domenici (1999); Morgado and Oliveira (2009); Torremorell (2008) and Vecchi and Greco (1999) were selected in order to provide greater familiarity with the subject mediation and conflict mediation later in the school environment. The concept of mediation, mediation templates and profiles of mediators will be explained as well as PMEC function features as regards the selection methods training main assisted cases, assignments that are stipulated by the guiding documents and what actually happens in daily practice verified the reports obtained through a semi-structured interview. Finally, we present the PMEC situation regarding the review by the leaders and attended school community and the acceptance of their work within that environment