833 resultados para Peer Classes
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Soil that has a high degree of weathering, with more inorganic P bound to Fe and Al oxides, has less P availability to plants. Thus, the critical element of a plant refers to the level below which the growth rate and plant production decreases, demonstrating the need for supplementary fertilization. Accordingly, an experiment was conducted in a greenhouse at Embrapa Algodao with the objective of evaluating the response of castor plants to five doses of P in four types of soil with different adsorption characteristics and critical levels of foliar P. The experimental design was completely randomized in a 4 x 5 factorial design, four types of soil and 5 levels of P with four replications. For TCo, there was an increase in height growth, with dose of 229.6 mg dm(-3) responsible for maximum plant height (74.3 cm). The largest diameter stem (17.58 mm) was observed in CXve with an application of 229.6 mg dm(-3) of P; a decrease was seen when using higher doses. The increase in leaf area was smaller in RY (4724.8 cm(2)), where it was obtained with a dose of 280.2 mg dm(-3). In general, critical levels of P in the plant shoots did not vary much between the soils. The critical level of P in castor bean shoot dry mass was higher (4.61 g kg(-1)) in TCo, this result being directly related to the low clay content of the soil.
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We determine the relation amongst the global Lê cycles and the Milnor classes of analytic hypersurfaces defined by a section of a very ample line bundle over a compact complex manifold. The key point is finding appropriate expressions for the global Lê cycles and for the Milnor classes in terms of polar varieties. Our starting points are an interpretation of the Lê cycles given by T. Gaffney and R. Gassler, a formula by A. Parusinski and P. Pragacz for the Milnor classes via McPherson’s functor, and a conjecture of J.-P. Brasselet, that we prove, stating that Milnor classes can be expressed in terms of polar varieties. We then use the work by R. Piegne for Mather classes, by J. Schürmann and M. Tibăr for MacPherson’s classes for constructible functions, and by D. Massey for an extension of the local Lê cycles for constructible sheaves.
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This article is focused in the understanding of how can social classes influence in prenatal, throughout the patient medical relationship as well as the many aspects surrounding. In the first chapter, reflected about the adherence to prenatal and considerations in gestational period when dealing with public health treatment offer by SUS. Next chapter, patient medical relationship is addressed as a relationship classes, over questioning how this relationship use to be in front of disadvantaged extracts, focused in prenatal. In the third chapter, the patient medical relationship is analyzed throughout the patient vision, pointing the many factors that can induce the success of a therapeutic. In the last chapter, there are reflections about whereby health professionals upgrading, as well as the improve of basic health care networks are necessary to a larger prenatal adherence.
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Within a broader study of the apparatus governing the establishment of word classes in grammatical tradition, this study is centered on examining the treatment of the (sub)class of pronouns in two grammar guide groups from different periods. The collation was especially oriented by the existing general notion of a very strong link of the first grammarians with logic and, as a counterpart, of an insertion of the most recent works in the universe of a linguistic science and, at the same time, in the universe of a parameterization limiting actions and decisions.
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The aim of this study was to evaluate the effects of peer tutor teaching strategy, after a re-training, in relation to the inclusion process of a student with physical disability during physical education classes. The participants were: the student with physical disability, eight peer tutors, and a physical education teacher of a public school in Bauru, Brazil. As the students had previously experienced the tutoring training, a re-training was prepared, which enabled the reinforcement of some aspects of the tutoring and assistance strategies, in order to improve the tutor colleague action. To analyze, two observation instruments were used: System for Observing Fitness Instruction Time (SOFIT) and Souza Observation Protocol. Behavioral changes of the involved students were notable, due to the significant action of the re-training process. Thus, we highlight the importance of the periodic reinforcements of the training for the tutor colleagues, in order to preserve, or even improve the autonomy and self-esteem of the student with disability.
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It was aimed to identify how the physical education teachers worked to include a student with visual impairment; intervene with the teacher from the identified necessities and assess the intervention. Data were collected in three stages: 1) Weekly monitoring and filming the classes, 2) intervention by the reflection of videos coming from the previous step and suggesting new actions, 3) development of filming for evaluating the intervention. Before the intervention, it was identified that the explanation of the activities happened collectively. It was held the physical help as the first form of instruction, the student with visual impairment participation occurred depending on the company of a classmate who held hands and did the activities together. Along the intervention it was reflected about the structure of the classes, the ways of explanation of the activities and the strategies and the resources to assure an enjoyable participation of students with visual impairments. The training of peer tutors was a strategy used. After the intervention it was identified in the classroom the assistance of the trained peer tutors; the maintenance of oral explanation and demonstration, though, the first way to explanation for the student with visual impairment started to be the oral tip.
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Studies on learning by exclusion have shown that participants tend to select a new object or a new figure when a new word is dictated, rejecting the objects and figures they already know or that were associated with other words. This study aimed at training conditional relations between dictated word-picture and between picture-printed word, by exclusion, and verify whether this training would be a condition for the emergence of relations between dictated word-printed word, printed word-figure, picture naming and reading. We also investigated whether responding to the words dictated with a female voice generalized to other frequencies such as male and child voices. Participants were five children between five and nine years old, with acute neurosensorial bilateral hearing impairment, users of cochlear implant Nucleus 24k®. They were exposed, individually, to tasks that consisted in selecting a comparison stimulus (either picture or printed word) related to the sample (either dictated word or picture). Words with lowest scores on a pre-test were used. The relations between dictated word-figure (AB) and figure-printed word (BC) were taught by exclusion. We assessed the emergence of the relations between dictated and printed words (AC), printed word and picture (CB), male and child voices generalization (A’C and A’’C), naming (BD) and reading (CD). All the children responded by exclusion and learned relations AB and BC, showing receptive vocabulary; AC and CB relations also were learned, consistent with class formation. Responding generalized to male and child voices, but data on naming were not systematic. Learning by exclusion was similar to that of children with typical hearing and these results describe some conditions that can improve receptive verbal repertoire.
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The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Docência para a Educação Básica - FC
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Math in the Middle Institute Partnership, Action Research Project Report, In partial fulfillment of the MAT Degree. Department of Mathematics. University of Nebraska-Lincoln. July 2009.
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This is the promotional brochure from the March 2004 national conference, Making Learning Visible: Peer Review and the Scholarship of Teaching. This conference was hosted by the UNL Peer Review of Teaching project and the University of Nebraska-Lincoln.
Discriminating Different Classes of Biological Networks by Analyzing the Graphs Spectra Distribution
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The brain's structural and functional systems, protein-protein interaction, and gene networks are examples of biological systems that share some features of complex networks, such as highly connected nodes, modularity, and small-world topology. Recent studies indicate that some pathologies present topological network alterations relative to norms seen in the general population. Therefore, methods to discriminate the processes that generate the different classes of networks (e. g., normal and disease) might be crucial for the diagnosis, prognosis, and treatment of the disease. It is known that several topological properties of a network (graph) can be described by the distribution of the spectrum of its adjacency matrix. Moreover, large networks generated by the same random process have the same spectrum distribution, allowing us to use it as a "fingerprint". Based on this relationship, we introduce and propose the entropy of a graph spectrum to measure the "uncertainty" of a random graph and the Kullback-Leibler and Jensen-Shannon divergences between graph spectra to compare networks. We also introduce general methods for model selection and network model parameter estimation, as well as a statistical procedure to test the nullity of divergence between two classes of complex networks. Finally, we demonstrate the usefulness of the proposed methods by applying them to (1) protein-protein interaction networks of different species and (2) on networks derived from children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) and typically developing children. We conclude that scale-free networks best describe all the protein-protein interactions. Also, we show that our proposed measures succeeded in the identification of topological changes in the network while other commonly used measures (number of edges, clustering coefficient, average path length) failed.