848 resultados para Foundation Stage
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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From January to October 1995, chloride content determinations were accomplished in 2,218 samples of milk collected from 67 quarters of 17 lactating cows, in initial, middle and final stages of lactation, in the morning and afternoon milking. The highest means of chloride contents were observed among the milk samples collected in the final stage of lactation (0,203 gC1/100ml), in the summer (0,212 gC1/100ml) and in the morning milking (0,189 g C1/100ml). The differences observed between the chloride contents in the samples obtained in the different stages of lactation and the seasons of the year were statistically significant (P<0.0001). The gratest occornce of chloride at rates superior to 0.22 gC1100ml was observed in the final stge of lactation (31.4%), summer (44.2%) and after the morning milking (27.8%). These results evidentiate the influence of physiological and external factors (stage of lactation and season of the year) on the concentration of chloride of milk.
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Kindergarten teachers training gains the spotlight with the passing of Law number 9.394/96 (Guidelines and Basis Law) that defines this segment as the initial step of basic education, with pedagogical function. In this spectrum, the discussion about teacher training unravels to ensure social quality to education as well as the teacher s specificities towards child singularities. Adding to that, the growing propagation of Pedagogy in an undergraduate level, given that such course has been continually transformed by the National Curriculum Guidelines for Pedagogy (2006), highlighting the addition of curriculum components that are specific to upbringing. The complex debate circa kindergarten teachers training has advancements and hardships that need to be unveiled in order to improve both formation and social quality of education in the 0- 5 years old range. This investigation inserts itself in said context and aims to analyze which knowledge, specific to kindergarten teaching are constructed, according to undergraduate trainees, in Pedagogy s supervised internship. The study was conducted alongside the discipline: Supervised Internship in Child Education ministered by the Advanced Campus of Rio Grande do Norte s State University s in the municipality of Patu-RN (CAP-UERN-Patu) and was conducted through 2012 by accompanying four undergraduate interns. We first assumed that the development of teaching knowledge is a complex process of appropriation of cultural-social practices and is symbolically mediated by interactions that occur in the formation context, and the supervised internship can be understood as a space for the articulation and enlargement of theoretical and practical knowledge, directly related to the specificities of child education. The theoretical-methodological foundation was based upon the historiccultural approach of L. S. Vygotsky and M. Bakhtin s dialogism on human sciences research, as well as his postulates on learning and developmental processes, conceived as both essentially social and discursive. The investigation approached the principles of the qualitative perspective and to the construction and analysis of data, involved documental analysis and, specially, semi-structured interviews, both individual and collective, whose fundamental premise was the production-comprehension of meanings in a dialogical perspective. The participants texts/speeches produced a synthesis that points to the occurrence, within the supervised internship at CAP/UERN, of internalization/appropriation processes and, as such, of formulation of meanings that are pertinent to child education: child, childhood, kindergarten and teacher signification and this stage s specific teaching knowledge. It stood out that the internship, alongside other curriculum components, is, in fact, one of the primeval formation environment for the teachers, in which the interns interact with their colleagues, supervisor professor, collaborator professor, and of course, the children to construct their erudition. Such interactions allow the undergraduate interns to develop attitudes and procedures to reflect on what they know, what they ve done and what they can achieve. We have concluded that the undergraduate internship can constitute itself as an articulatorconsolidator environment in the future teacher s formation process and, since well oriented, can provide the effective initiation, not only to the practice, but to the praxis as a movement of non dissociability between theory and practice
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The industrial automation is directly linked to the development of information tecnology. Better hardware solutions, as well as improvements in software development methodologies make possible the rapid growth of the productive process control. In this thesis, we propose an architecture that will allow the joining of two technologies in hardware (industrial network) and software field (multiagent systems). The objective of this proposal is to join those technologies in a multiagent architecture to allow control strategies implementations in to field devices. With this, we intend develop an agents architecture to detect and solve problems which may occur in the industrial network environment. Our work ally machine learning with industrial context, become proposed multiagent architecture adaptable to unfamiliar or unexpected production environment. We used neural networks and presented an allocation strategies of these networks in industrial network field devices. With this we intend to improve decision support at plant level and allow operations human intervention independent
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Foundation Fieldbus Industrial networks are the high standard technology which allows users to create complex control logic and totally decentralized. Although being so advanced, they still have some limitations imposed by their own technology. Attempting to solve one of these limitations, this paper describes how to design a Fuzzy controller in a Foundation Fieldbus network using their basic elements of programming, the functional blocks, so that the network remains fully independent of other devices other than the same instruments that constitute it. Moreover, in this work was developed a tool that aids this process of building the Fuzzy controller, setting the internal parameters of functional blocks and informing how many and which blocks should be used for a given structure. The biggest challenge in creating this controller is exactly the choice of blocks and how to arrange them in order to effectuate the same functions of a Fuzzy controller implemented in other kind of environment. The methodology adopted was to divide each one of the phases of a traditional Fuzzy controller and then create simple structures with the functional blocks to implement them. At the end of the work, the developed controller is compared with a Fuzzy controller implemented in a mathematical program that it has a proper tool for the development and implementation of Fuzzy controllers, obtaining comparatives graphics of performance between both
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The main purpose of this work is to develop an environment that allows HYSYS R chemical process simulator communication with sensors and actuators from a Foundation Fieldbus industrial network. The environment is considered a hybrid resource since it has a real portion (industrial network) and a simulated one (process) with all measurement and control signals also real. It is possible to reproduce different industrial process dynamics without being required any physical network modification, enabling simulation of some situations that exist in a real industrial environment. This feature testifies the environment flexibility. In this work, a distillation column is simulated through HYSYS R with all its variables measured and controlled by Foundation Fieldbus devices
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Industrial automation networks is in focus and is gradually replacing older architectures of systems used in automation world. Among existing automation networks, most prominent standard is the Foundation Fieldbus (FF). This particular standard was chosen for the development of this work thanks to its complete application layer specification and its user interface, organized as function blocks and that allows interoperability among different vendors' devices. Nowadays, one of most seeked solutions on industrial automation are the indirect measurements, that consist in infering a value from measures of other sensors. This can be made through implementation of the so-called software sensors. One of the most used tools in this project and in sensor implementation are artificial neural networks. The absence of a standard solution to implement neural networks in FF environment makes impossible the development of a field-indirect-measurement project, besides other projects involving neural networks, unless a closed proprietary solution is used, which dos not guarantee interoperability among network devices, specially if those are from different vendors. In order to keep the interoperability, this work's goal is develop a solution that implements artificial neural networks in Foundation Fieldbus industrial network environment, based on standard function blocks. Along the work, some results of the solution's implementation are also presented
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The main objective of work is to show procedures to implement intelligent control strategies. This strategies are based on fuzzy scheduling of PID controllers, by using only standard function blocks of this technology. Then, the standardization of Foundation Fieldbus is kept. It was developed an environment to do the necessary tests, it validates the propose. This environment is hybrid, it has a real module (the fieldbus) and a simulated module (the process), although the control signals and measurement are real. Then, it is possible to develop controllers projects. In this work, a fuzzy supervisor was developed to schedule a network of PID controller for a non-linear plant. Analyzing its performance results to the control and regulation problem
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This work considers the development of a filtering system composed of an intelligent algorithm, that separates information and noise coming from sensors interconnected by Foundation Fieldbus (FF) network. The algorithm implementation will be made through FF standard function blocks, with on-line training through OPC (OLE for Process Control), and embedded technology in a DSP (Digital Signal Processor) that interacts with the fieldbus devices. The technique ICA (Independent Component Analysis), that explores the possibility of separating mixed signals based on the fact that they are statistically independent, was chosen to this Blind Source Separation (BSS) process. The algorithm and its implementations will be Presented, as well as the results
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The effect of application with different nozzle types and volume rates on spray deposition in the V3 stage of two soybean cultivars was evaluated. The experiments were conducted in the Facultad de Ciencias Agronomicas of the UNESP-Botucatu/SP. The nozzles evaluated were an air induced flat fan nozzle (Al 11015 at 150 L ha(-1), Al 11002 at 200 and 250 L ha(-1)), a twin flat fan nozzle (TJ 60 11002 at 150, 200 and 250 L ha(-1)), and a cone nozzle (TX 6 at 150 L ha(-1), TX 8 at 150 L ha(-1) and TX 10 at 250 L ha(-1)). To evaluate spray deposition on the plants, a tracer (Brilliant Blue FD&C-1) was added. The experimental design was random blocks with four replications. Deposition on plants was determined by absorbancy reading in 630 nm wavelength. The data were adjusted to a calibration curve and transformed into deposited spray volume in mL. The relationship deposition per unit of dry matter was adjusted to a regression curve (Gompertz model). In cultivar CD 208, the highest deposit was for the larger volumes and for the treatment TX 8 200 L ha(-1). The most uniform treatments were all the nozzles with the volume 150 L ha(-1) and the TJ60 nozzle for 200 1, ha(-1). In cultivar CD 216, the greatest spray depositions were achieved with the treatments Al at 200 and 250 L ha(-1) and TJ 60 at 250 L ha(-1), and the most uniform treatments were the TX 6 and TJ60 nozzles for the volume150 L ha(-1).
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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CONTEXTO E OBJETIVO: Portadores de insuficiência renal crônica em diálise apresentam alta prevalência de desnutrição proteico-energética. Não existe ainda um método uniforme para avaliar o estado nutricional desses pacientes. Recomenda-se a aplicação de um conjunto de métodos subjetivos e objetivos para se chegar aos diagnósticos nutricionais adequados. O objetivo deste estudo é traçar o perfil nutricional de pacientes submetidos a hemodiálise. TIPO DE ESTUDO E LOCAL: Estudo transversal descritivo realizado na Unidade de Tratamento Dialítico de Araraquara, São Paulo, Brasil, em 2008. MÉTODOS: 48 pacientes tiveram seus indicadores antropométricos e bioquímicos caracterizados, sendo também submetidos ao questionário Avaliação Global Subjetiva modificada (SGAm), verificando-se possíveis correlações entre esses indicadores. RESULTADOS: A frequência de desnutrição moderada e grave variou de 22% a 54%, de acordo com o parâmetro utilizado. Com relação à adequação do peso ideal, 29% da amostra estavam com porcentagem de adequação abaixo do percentil 75, classificados como portadores de desnutrição moderada e grave. As correlações mais significativas foram observadas entre índice de massa corporal (IMC) e adequações de prega triciptal (PCT), circunferência do braço (CB) e circunferência muscular do braço (CMB); e entre o SGAm e adequações de CB e CMB. CONCLUSÃO: A desnutrição apresentou grande variabilidade de frequência entre os pacientes de acordo com o critério escolhido para avaliação. O acompanhamento nutricional de rotina e a validação de métodos que avaliem a composição corporal desses pacientes são de extrema importância para diagnosticar precocemente a desnutrição e assim prevenir complicações e reduzir as taxas de morbimortalidade nesta população.
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Three ranges of increasing temperatures (35-43, 37-45, 39-47degreesC) were sequentially applied to a five-stage system continuously operated with cell recycling so that differences of 2degreesC (between one reactor to the next) and 8degreesC (between the first reactor at the highest temperature and the fifth at the lowest temperature) were kept among the reactors for each temperature range. The entire system was fed through the first reactor. The lowest values of biomass and viability were obtained for reactor R-3 located in the middle of the system. The highest yield of biomass was obtained in the effluent when the system was operated at 35-43degreesC. This nonconventional system was set up to simulate the local fluctuations in temperature and nutrient concentrations that occur in different regions of the medium in an industrial bioreactor for fuel ethanol production mainly in tropical climates. Minimized cell death and continuous sugar utilization were observed at temperatures normally considered too high for Saccharomyces cerevisiae fermentations.
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O presente artigo tem por objetivo abordar as bases, finalidades e composição de dois instrumentos de avaliação de juízo moral: a Moral Judgment Interview (MJI) e o Defining Issues Test (DIT), e um de competência moral: o Moral Judgment Test (MJT). Retoma a teoria do desenvolvimento moral de Kohlberg que fundamenta esses instrumentos, assim como os últimos estudos realizados com os mesmos. A MJI é uma entrevista semiestruturada que avalia o nível de juízo moral. O DIT é um teste objetivo que mede a proporção de respostas pós-convencionais. O MJT é um instrumento objetivo, que avalia a competência moral. Destaca-se a crescente utilização desses instrumentos em pesquisas sobre moralidade.