960 resultados para Separating of variables
Resumo:
The objective of this work was to access and understand the teaching social representation (MOSCOVICI, 2005) for the teachers of the children education and fundamental education at Queimadas city, Paraíba. We assume that one representation that allows the teacher to name its profession and to act on it, is a derivative of regularities that are expressed by means of a habitus (BOURDIEU, 1983a), generative matrix of perception and action. This teaching habitus is originated from the experiences and the trajectories of social and professional life of the group. Therefore, from some variables, we tried to access the profile of the group of teachers studied and to get closer of their life style to understand their profession choice and the teaching social representation for this group. In this research, it was used four data sources: a) the questionnaires of characterization; b) the questionnaires of practices and meanings; c) the experience reports and; d) the interviews in depth. The analysis of the data collected was done by means of the simple statistics (frequency), the intersection of variables through cross tables and, the thematic analysis of the contents. The results show that there is a lightly homogeneous group in terms of its social origin and its life style, moreover, they conduct to an overlap between this origin/style and the professional choice. On the other hand, the teacher representation is multi-dimensional such that, all dimensions intercept and articulate with each other to provide a concise teacher representation. They are four dimensions: love and care, help and donation, teaching and learning and, sacrifice and hope. The elements of the teacher representation are substantiated in the schemes of perception and appreciation of the group, in the regularities and life experiences in the context of religion, family, gender and profession. In these regularities we find the elements that comprise the teaching habitus which drives perception and action, representation and daily practice of these teachers. The teaching social representation is still perceived as a threshold for the professional identity of the group of teachers considered. We also observed that there are signs of changes in the practices used by these professionals since they graduate from the course of pedagogy. However, it is not possible to say that these changes are isolated or they lead to a transformation in the teaching habitus or the teaching social representation
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A produção de mudas de caramboleira é um dos fatores limitantes à expansão comercial da cultura, devido ao tempo que estas levam para serem formadas e iniciarem a produção. Uma boa alternativa pode estar na otimização dos métodos de propagação vegetativa, através de estudos relativos aos processos e fatores envolvidos no enraizamento de estacas. Este trabalho foi desenvolvido com o objetivo de estudar o enraizamento de estacas apicais e basais de caramboleira, tratadas com ácido indolbutírico (IBA), em condições de nebulização intermitente. Estacas apicais e basais de caramboleira foram coletadas de ramos de plantas-matrizes da cultivar B-10 e submetidas à aplicação de cinco concentrações de IBA (0; 1.000; 3.000; 5.000 e 7000 mg.L-1), em imersão por 10 segundos, para avaliar a capacidade de sobrevivência, enraizamento e número médio de raízes/estaca. Posteriormente, as estacas foram colocadas em caixas de madeira contendo vermiculita média como substrato e mantidas em casa de vegetação, sob nebulização intermitente, durante 70 dias. O delineamento experimental utilizado foi em esquema fatorial 2 x 5, com 4 repetições e 10 estacas/parcela. As estacas apicais obtiveram melhores resultados para porcentagem de sobrevivência (49,26%), enraizamento (34,84%) e número médio de raízes (20,51), mostrando-se superiores às basais. O uso de IBA não influenciou em nenhuma das variáveis analisadas.
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The transplantation of organs and tissues presents itself as an important therapeutic option, both from a medical standpoint, the social or economic. Thus, the identification of variables that can interfere in the effectiveness of organs and tissues donation for transplantation needs to be investigated adequately, because it stands before increasing index of chronic and degenerative diseases in the population, what makes the waiting list for transplantation grow disproportionately and patients come to death without the opportunity of realization the treatment due to a lack of donors. In this context, has defined as objective of this study evaluate the factors associated with the effectiveness of organs and tissues donation for transplantation. It is a evaluative research, quantitative, prospective, with longitudinal design, developed at Central of Catchment, Notification and organ donation for transplant, Organ Procurement Organization and in six accredited hospitals to collect and transplantation of organs and tissues, in Natal/RN, between august 2010 and february 2011, after the approval of the Research Ethics Committee, under No. 414/10 and CAAE 007.0.294.000-10. The probabilistic sample without replacement was composed of 65 potential donors. It was used as an instrument of data collection a structured script non-participant observation of checklist type. Data were analyzed using descriptive statistics and presented in tables, charts, graphs and figures. For this, was used Microsoft Excel 2007 and statistical program SPSS version 20.0. To check the level of significance was chosen by applying the chi-square test (χ2) and Mann Whitney and caselas for less than five, it is considered the Fisher exact test. It was adopted as the significance level p-value <0.05. Among the surveyed it was observed that most of the individuals were male (50,8%), in the age group 45 years (53,8%), mean age of 42,3 years, minimum 5 and maximum 73 years (± 17,32 years). Single / widowers / divorced (56,9%), with up to completed elementary school (60,0%) in the exercise of professional activity (86,2%), catholic (83,1%) and residents in metropolitan region of Natal (52,3%). Was obtained donation effectiveness of 27,7%. There was no statistical significance between structure and effectiveness of the donation, but were observed inadequacies in physical resources (36,9%), materials (30,8%), organizational structure (29,2%) and human resources (18,5%). In the process, the maintenance phase (p= 0.004), diagnosis of brain death (p= 0.032), family interview (p≤ 0.001) and documentation (p= 0.001) presented statistical significance with effectiveness. Thus, it is accepts the alternative hypothesis of the study, in which is evidenced that the adequacy of the factors related to structure and process is associated to effectiveness of organs and tissues donation for transplantation. In this way, the effectiveness of organ and tissue donation ends in an essential way the rapidity and accuracy with which the donation process is conducted, requiring appropriate structure, with appropriate physical and material resources and skilled human resources to optimize the reduction of time and the suffering of those waiting for an organ or tissue transplant queued in Brazil
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One of the best examples of the Information and Communication Technology (ICT) evolutions is on the high capability of storing and processing data into smaller devices, creating a new business condition, the mobility . This mobility in a deeper analysis proposes a business remodeling in many different areas (business segmentations), through the Internet anywhere at any time, allowing managers and researchers to think again their actual models that work nowadays in companies and public institutions, modifying the way internal and external clients can be attended. This thesis analyzes issues on mobile business adoption, technological evolutions and the impacts caused by this new reality the access to information anywhere at any time . This research is exploratory and shows a compilation of similar papers and thesis describing how was conducted the survey within 50 companies in the states of Rio Grande do Norte, Pernambuco and Ceará. The statistics analysis showed the different level of mobile technology usage from simple voice communications to wide band data transmission. The analysis pointed that canonic correlation was the most effective type of analysis to describe the relations among all groups of variables showing which of them are relevant, or not, for mobile technology adoption
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The aim of this present research is to investigate about aplication of the supply chain management in Civil Construction, through perception of brasilian building companies directors. Research purpose includes potential benefits and main dificults analysis in supply chain management, beyond to identify decision criterions for suppliers and sales chain (commission agent and real state agency) choice and reduction, to facilility management in companies. The methodology used in this work considers the application of a questionnaire with scales of the type Likert being constituted of variables that compose the aspects of evaluation and of behaviors, beyond questions to identify the market profile of the respondents. For analysis statistics is used the descriptive, clusters and variance, ANOVA, analysis last two to verify the connections between variables. The results show more perception as for long terms contracts with suppliers for purchase of materials and services being decisive for companies nowadays (40%) than as for exclusive contracts with commission agents (30%). There is a positive appraisal about viability of hipotetic situations showed, but more caution as for disposition to apply them too. Another results aim for biggers dificults in management of chain links formed by commission agents and real state agencies, than chain links formed by anothers suppliers of materials and services. The companies for study were chosen among to those with ISO 9000 certificate until november 2001, considering that these companies have the best management systems, probably
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This study presents an investigation of the influence of Corporate Social Responsibility (CSR) in customer s satisfaction and loyalty through a study with car s buyers, besides that, it aims to contribute to conceptual models of satisfaction and loyalty analysis by applying the model of Johnson et al. (2001), adapted for the introduction of variables of CSR and conscious consumption, in a car dealership in Natal / RN. The methodology has a descriptive quantitative approach and for the analysis results were applied statistical methods of simple and multiple linear regression analysis, descriptive analysis and exploratory analysis. The field research provided 90 valid forms. The results show that CSR affects the image of the company studied and is also one of the elements of the compound of satisfaction and loyalty. This study concludes that CSR should be considered in the strategic and marketing actions of firms
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This thesis aims to investigate the perception and behavior of goat and sheep rural producers from Central Cabugi Region of Rio Grande do Norte state, in terms of the sector competitiveness, the cooperation mechanisms, information and environmental practices integration in the supply chain, including their customers, and also among the local producers and other institutions that support this agribusiness cluster. The research problem is related to the environmental impacts from goat and sheep breeding. This problem can also be intensified by the organization of producers in a cluster. Then, it is important to examine how the environmental issues are considered by the rural producers and their perception of their suppliers, customers and the institutions that support this activity. The methodology used in this work involved literature review of the topics of supply chain management, green supply chain, clusters development and sustainable livestock. An exploratory survey research was also conducted by personal interviews using questionnaires. Three statistic techniques were used to compile the gathered data: descriptive statistics, cluster analysis, and Chi-square tests. Two clusters were found in this study, however, the entire sample believes the sector of goat and sheep breeding is a medium competitive activity. On the other hand, for the variables of the importance of environmental practices for competitiveness , perception of environmental impacts and environmental benefits from farm vegetation management , the research found 2 distinct groups of individuals when those variables were analyzed together the green supply chain management group of variables in the cluster analysis. Beyond competitiveness perception, no degree of difference was found for the use of insecticides too. The chi-square tests present that producers having at least elementary education, lands bigger 100 hectares and located in the cities of Angicos or Lajes tend to have a higher perception to supply chain management and environmental awareness issues than those with no or incomplete first-level education, producing in lands smaller than 100 hectares and located in the cities of Afonso Bezerra or Pedro Avelino. The chi-square tests also show the amount of milk produced, family s income and associational condition are not related with the variables used in the clusters composition. In this context, this work contributes to planning clusters development strategies and enhancing the production chain sustainability. This Master of Science Thesis can also help to introduce the environmental variable in the project, assessment and monitoring of development policies as well
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This study deals with environmental issues on agriculture. In this context, the aim of this study is investigate factors able to influence the environmental conscientization of students of a agricultural technicals school about the aspects and environmental impacts related to the agricultural productive process. Besides, the used methodology on this work was to the application of a questionnaire based in Likert-kind scale with closed questions, they are constituted of variables which consisted of groups denominated perception, attitude, communitarian sense, commitment, sel-consciousness, knowledge and student profile. Like data analysis way was used descriptive analysis and chi-square to check the association significance between the perception variable with the variable ones of cited groups. The results obtained show that the environmental knowledge variable was one of the that showed high significance when it associated to the variables of perception group. The students with environmental knowledge showed high consideration that the production activities on agriculture cause large adverse impacts on environment. After the identification of some factors of environmental conscientization are shown recommendations which school must prepare techniques in aware high school of agricultural sciences with the environmental problems which be able to apply sustainable technologies on agriculture instead of traditional ones through the benefit of environment
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The present study inserts on the international environmental thematic, approaching the integrated management of solid waste and the participation of the social actors in the search of the sustainable development. The awareness in combining it still describes a Selective Collection Program SCP of solid waste, in partnership with the municipal public power, in the development of joint actions that result in better alternatives of waste management in the urban centers, providing better life quality for the population and conservation of the environment. The aim of this research is to study problematic of the management of solid waste under the point of view of the environmental awareness and the participation of the population in a city of Brazil. In this matter, the target of the work is focusing on the strategy of solid waste management, through the attitudes and the respondents behaviors to aid in the making decision of the public manager related to the implantation of a selective collection program in Natal/RN. The methodology used in this work constitutes in the application of a questionnaire with scales of the type Likert being constituted of variables that compose the aspects of attitudes and of behaviors, besides a social-demographic scale. For analysis statistics is used the Pearson s Chi-Square Method in order to verify the dependence of the associations between the social-demographic variables and the attitude and the behavior ones. The results appear for a larger participation in a SCP, since this provides a better quality of life of the population (28,3 %), followed for offering a financial advantage (27,3%). Other results indicate the existence of the variables that exercise influence on the environmental awareness of the population to its demographic aspects
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Due to the current need of the industry to integrate data of the beginning of production originating from of several sources and of transforming them in useful information for sockets of decisions, a search exists every time larger for systems of visualization of information that come to collaborate with that functionality. On the other hand, a common practice nowadays, due to the high competitiveness of the market, it is the development of industrial systems that possess characteristics of modularity, distribution, flexibility, scalability, adaptation, interoperability, reusability and access through web. Those characteristics provide an extra agility and a larger easiness in adapting to the frequent changes of demand of the market. Based on the arguments exposed above, this work consists of specifying a component-based architecture, with the respective development of a system based on that architecture, for the visualization of industrial data. The system was conceived to be capable to supply on-line information and, optionally, historical information of variables originating from of the beginning of production. In this work it is shown that the component-based architecture developed possesses the necessary requirements for the obtaining of a system robust, reliable and of easy maintenance, being, like this, in agreement with the industrial needs. The use of that architecture allows although components can be added, removed or updated in time of execution, through a manager of components through web, still activating more the adaptation process and updating of the system
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Simulations based on cognitively rich agents can become a very intensive computing task, especially when the simulated environment represents a complex system. This situation becomes worse when time constraints are present. This kind of simulations would benefit from a mechanism that improves the way agents perceive and react to changes in these types of environments. In other worlds, an approach to improve the efficiency (performance and accuracy) in the decision process of autonomous agents in a simulation would be useful. In complex environments, and full of variables, it is possible that not every information available to the agent is necessary for its decision-making process, depending indeed, on the task being performed. Then, the agent would need to filter the coming perceptions in the same as we do with our attentions focus. By using a focus of attention, only the information that really matters to the agent running context are perceived (cognitively processed), which can improve the decision making process. The architecture proposed herein presents a structure for cognitive agents divided into two parts: 1) the main part contains the reasoning / planning process, knowledge and affective state of the agent, and 2) a set of behaviors that are triggered by planning in order to achieve the agent s goals. Each of these behaviors has a runtime dynamically adjustable focus of attention, adjusted according to the variation of the agent s affective state. The focus of each behavior is divided into a qualitative focus, which is responsible for the quality of the perceived data, and a quantitative focus, which is responsible for the quantity of the perceived data. Thus, the behavior will be able to filter the information sent by the agent sensors, and build a list of perceived elements containing only the information necessary to the agent, according to the context of the behavior that is currently running. Based on the human attention focus, the agent is also dotted of a affective state. The agent s affective state is based on theories of human emotion, mood and personality. This model serves as a basis for the mechanism of continuous adjustment of the agent s attention focus, both the qualitative and the quantative focus. With this mechanism, the agent can adjust its focus of attention during the execution of the behavior, in order to become more efficient in the face of environmental changes. The proposed architecture can be used in a very flexibly way. The focus of attention can work in a fixed way (neither the qualitative focus nor the quantitaive focus one changes), as well as using different combinations for the qualitative and quantitative foci variation. The architecture was built on a platform for BDI agents, but its design allows it to be used in any other type of agents, since the implementation is made only in the perception level layer of the agent. In order to evaluate the contribution proposed in this work, an extensive series of experiments were conducted on an agent-based simulation over a fire-growing scenario. In the simulations, the agents using the architecture proposed in this work are compared with similar agents (with the same reasoning model), but able to process all the information sent by the environment. Intuitively, it is expected that the omniscient agent would be more efficient, since they can handle all the possible option before taking a decision. However, the experiments showed that attention-focus based agents can be as efficient as the omniscient ones, with the advantage of being able to solve the same problems in a significantly reduced time. Thus, the experiments indicate the efficiency of the proposed architecture
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In this work, the Markov chain will be the tool used in the modeling and analysis of convergence of the genetic algorithm, both the standard version as for the other versions that allows the genetic algorithm. In addition, we intend to compare the performance of the standard version with the fuzzy version, believing that this version gives the genetic algorithm a great ability to find a global optimum, own the global optimization algorithms. The choice of this algorithm is due to the fact that it has become, over the past thirty yares, one of the more importan tool used to find a solution of de optimization problem. This choice is due to its effectiveness in finding a good quality solution to the problem, considering that the knowledge of a good quality solution becomes acceptable given that there may not be another algorithm able to get the optimal solution for many of these problems. However, this algorithm can be set, taking into account, that it is not only dependent on how the problem is represented as but also some of the operators are defined, to the standard version of this, when the parameters are kept fixed, to their versions with variables parameters. Therefore to achieve good performance with the aforementioned algorithm is necessary that it has an adequate criterion in the choice of its parameters, especially the rate of mutation and crossover rate or even the size of the population. It is important to remember that those implementations in which parameters are kept fixed throughout the execution, the modeling algorithm by Markov chain results in a homogeneous chain and when it allows the variation of parameters during the execution, the Markov chain that models becomes be non - homogeneous. Therefore, in an attempt to improve the algorithm performance, few studies have tried to make the setting of the parameters through strategies that capture the intrinsic characteristics of the problem. These characteristics are extracted from the present state of execution, in order to identify and preserve a pattern related to a solution of good quality and at the same time that standard discarding of low quality. Strategies for feature extraction can either use precise techniques as fuzzy techniques, in the latter case being made through a fuzzy controller. A Markov chain is used for modeling and convergence analysis of the algorithm, both in its standard version as for the other. In order to evaluate the performance of a non-homogeneous algorithm tests will be applied to compare the standard fuzzy algorithm with the genetic algorithm, and the rate of change adjusted by a fuzzy controller. To do so, pick up optimization problems whose number of solutions varies exponentially with the number of variables
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To evaluate the dry matter, neutral detergent fiber and crude protein in situ degradation of elephant grass silages with five levels (0; 4; 8; 12 and 16%, on a fresh matter basis) of annatto grain by-product (AGBP), this work was carried out. A split-plot design, consisting on the addition levels the plots and the incubation times the sub-plots, with four replicates, was adopted. For the silages making, the elephant grass was cut 70 days-old and mixed to the by-product, in 20 plastic drums. The samples were dried, grid in a bolter of 5 mm mesh, being used 3 g of samples in each nylon bag, for incubation in the rumem for 0; 6; 48 e 96 hours; 2 ram without defined breed were used. Was observed increased the disappearance of the DM until the level 13.37% of addition of (AGBP) the elephant grass silages for the incubation time 48 hours, this level was that presented the most disappearance DM. For the NDF the disappearance increased until 16% of addition. For the whole of parameters of degradation, was observed that the level of addition of 16% of (AGBP) presented the most values for the potential and effective degradability of variables in question. The inclusion of the annatto grain by-product for elephant grass silage results in greater potential and effective degradability.
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Equipment maintenance is the major cost factor in industrial plants, it is very important the development of fault predict techniques. Three-phase induction motors are key electrical equipments used in industrial applications mainly because presents low cost and large robustness, however, it isn t protected from other fault types such as shorted winding and broken bars. Several acquisition ways, processing and signal analysis are applied to improve its diagnosis. More efficient techniques use current sensors and its signature analysis. In this dissertation, starting of these sensors, it is to make signal analysis through Park s vector that provides a good visualization capability. Faults data acquisition is an arduous task; in this way, it is developed a methodology for data base construction. Park s transformer is applied into stationary reference for machine modeling of the machine s differential equations solution. Faults detection needs a detailed analysis of variables and its influences that becomes the diagnosis more complex. The tasks of pattern recognition allow that systems are automatically generated, based in patterns and data concepts, in the majority cases undetectable for specialists, helping decision tasks. Classifiers algorithms with diverse learning paradigms: k-Neighborhood, Neural Networks, Decision Trees and Naïves Bayes are used to patterns recognition of machines faults. Multi-classifier systems are used to improve classification errors. It inspected the algorithms homogeneous: Bagging and Boosting and heterogeneous: Vote, Stacking and Stacking C. Results present the effectiveness of constructed model to faults modeling, such as the possibility of using multi-classifiers algorithm on faults classification
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This work purposes the application of a methodology to optimize the implantation cost of an wind-solar hybrid system for oil pumping. The developed model is estimated the implantation cost of system through Multiple Linear Regression technique, on the basis of the previous knowledge of variables: necessary capacity of storage, total daily energy demand, wind power, module power and module number. These variables are gotten by means of sizing. The considered model not only can be applied to the oil pumping, but also for any other purposes of electric energy generation for conversion of solar, wind or solar-wind energy, that demand short powers. Parametric statistical T-student tests had been used to detect the significant difference in the average of total cost to being considered the diameter of the wind, F by Snedecor in the variance analysis to test if the coefficients of the considered model are significantly different of zero and test not-parametric statistical by Friedman, toverify if there is difference in the system cost, by being considered the photovoltaic module powers. In decision of hypothesis tests was considered a 5%-significant level. The configurations module powers showed significant differences in total cost of investment by considering an electrical motor of 3 HP. The configurations module powers showed significant differences in total cost of investment by considering an electrical motor of 5 HP only to wind speed of 4m/s and 6 m/s in wind of 3 m, 4m and 5 m of diameter. There was not significant difference in costs to diameters of winds of 3 m and 4m. The mathematical model and the computational program may be used to others applications which require electrical between 2.250 W and 3.750 W. A computational program was developed to assist the study of several configurations that optimizes the implantation cost of an wind-solar system through considered mathematical model