Avaliação de um programa de educação ambiental não formal: a Caravana Ecológica na visão dos participantes

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Prática do enfermeiro do Programa Saúde da Família PSF na promoção da saúde do adolescente

Attention to the health of adolescents, based on paradigm flexneriano, needs to be overcome. Since the International Conference of Ottawa (1986), the literature is developing a discussion of the promotion of health, based on the paradigm of social production in health, suggests a design to overcome the health care traditional practices. Program Health of the Family PSF has this purpose to transmute the model of existing assistance, where the nurse is an essential element to the work done in the program. Around this context, it is our purpose to analyze the practice of nurse of the PSF for the promotion of health of adolescents, produced by a search of descriptive quantitative approach with the inclusion of qualitative data. Interviews were conducted with 9 nurses 3 units of health of the family USF, Mossoró-RN and applied questionnaires with 74 teenagers aged between 15 and 19 years old, with some nearby public schools where USF operate these nurses. The quantitative descriptions were transformed on tables, pictures and graphics using the program Excel (Microsoft) and the qualitative were worked through the technique of analyzing the content of Bardin (2004). The review was realized using the reference to promote health brought by the study. The results show that the most common problems that happen with teenagers are the drugs (33,8%), pregnancy (27,0%) and political problems-socio-economic-cultural issues (24,3%). Adolescents are spontaneous demand and rarely seek the USF. The actions presented by the nurses as, lectures and groups, are nothing comparing to the macro-problems presented by adolescents, and verticalized irregular. The nurses know the promotion of health generally, not explaining how operate it from its daily practice. Concluded that the practice of nurse of the PSF has not yet reach the promotion of health of the adolescent, being necessary to scheduling modules on the subject to continuous training of teams, professionals from USF, as well as teachers and other staff of schools, giving space to the participation of academic. The discussions should be socialized with the community to discuss possibilities of confrontation of the problems, which also require socio-structural changes. This research can contribute as work-diagnosis, which experienced the reality of care in nursing PSF to a specific group

Vivências de docentes de enfermagem no ensino do cuidar

Care, in a global perspective, appears in the main quarrels as the necessary phenomenon that will have to permeate the thoughts, the perception and values for the change that will lead to the overcoming of a paradigmatic crisis. The professional care was attributed, in elapsing of history, to the Nursing. Its historical evolution and articulation with the social processes, political and scientific in prominence place, in what it says respect to human well-being, not objectifying to cure, but to comfort, to complement the weak capacities and to the establishment the present capacities, alleviating pain, in other words, caring. The Teaching of care in Nursing, suffered great influences of the biomedical model, being like this, the education in Nursing has been criticized for if being valid pedagogical models incapable to promote the growth of the subjects, keeping it passive before your life processes, showing fragilities, attitudes and questionable behaviors, dissonances, appearing the imminence of an act of to care and to educate that needs to be considered as dialectical and intersubjective act. The objective of this research is to understand the lived experience of the nursing teachers in the Teaching of Care, in order to reflect about the insert of Nursing in the current world context, watching the dialetics of the Teaching of care and the paradigm changes in the section health. It is a phenomenological research that used the analysis of the located phenomenon, to obtain the units of meaning of the speech Nursing teachers about your experience lived in the Teaching of care. This study allowed the Nursing teachers could share your existences, senses and information on the interior of your pedagogic action exalting the interpretation, which appears intentionally in the conscience, emphasizing the pure experience of the be-professor, including emotions and affectivities in the teaching of care. In the construction of the results, three moments were devoted for discussion: Multidimensional Care; Care as Professional Practice; and the Teaching of care. The speeches had revealed rich, complex and for paradoxical times. The understanding of a sensitive teaching, that sometimes, arrives if to worry in rescuing the tenderness and the humanity, it is running into the other permeated speeches of fragilities, inconstancies, technifying, that showed lacks of pedagogic preparation. The Teaching of care needs to adopt a conception of education/learning and to use methodologies that can lead to an action liberating, capable to breach with traditional mooring cables and preconceptions or little healthful habits of life, favoring the use of methods that promote educating for the way of the sensitive, detaching aspects that they contribute for this end, as the intuition, the emotion, the creation, the perception and the sensibility. In this direction, it is considered important to deepen subjects that make possible the creation of care strategies and educational with the human being vision in your totality, therefore if it perceives that the necessary therapeutical boarding to be ampler, passing for the social individual, family and its relations

Rede Água: instrumento de construção colaborativa e democratização do conhecimento, direcionado as cadeias produtivas da pesca e da aqüicultura Proposta de metodologia

This paper proposes a methodology for building Information Technology solutions in the form of virtual environments that allow for collaborative construction and democratization of knowledge for and about supply chains, providing tools for collaboration iteration and the social actors involved, valuing its environmental variables and assisting in its development. The scope of supply chains of aquaculture and fisheries and www.redeagua.com.br were the objects of research and prototyping of this paper. AVA Moodle was chosen to create the environment in question by their full fitness the socio-cultural characteristics of the target audience and the structure of existing digital inclusion, making necessary the development of strategies to generate interest from productive agents in their effective participation as collaborators and not just as recipients of content. The structure of this survey work will be qualitative-quantitative, using both traditional elements such as forms and interviews as sources typical of virtual environments, such as statistical reports of visitation and placement in search engines on the Internet

Construção e implementação do Balanced Scorecard em uma organização educacional: o caso do Serviço Nacional de Aprendizagem Comercial do Rio Grande do Norte SENAC RN

The changes that have taken place in the organizational environment in recent decades have led to new performance measurement systems being proposed, given the inadequacy of traditional models. The Balanced Scorecard (BSC) emerged as an instrument to translate financial and non-financial assets into real values for all interested parties in the organization, allowing the introduction of strategies to achieve the desired goals. Research shows that most errors committed with the use of this method are related to the implementation process. Thus, the aim of this dissertation is to analyze the process of building and implementing the BSC in an organization. This empirical exploratory study is based on the classic case study method, which enables the researcher to work with a set of evidence, including direct observation, interviews and document analysis. The results show that the use of BSC in the company investigated posed problems during the process of building and implementing the method. These problems were caused mainly by the lack of involvement on the part of upper management and the team s scant knowledge of Balanced Scorecard. One of the gains obtained from adopting the system was the introduction and/or consolidation of a culture of strategic planning and participative management. The continuous implementation phase was highlighted in the monitoring program, created by the organization in an attempt to reverse existing problems, using the BSC as a third generation strategic management system, which led to significant gains, better use of the system and stronger management practices

Uma abordagem híbrida para o problema de seleção de fornecedores em cadeia de suprimentos

This work presents a hybrid approach for the supplier selection problem in Supply Chain Management. We joined decision-making philosophy by researchers from business school and researchers from engineering in order to deal with the problem more extensively. We utilized traditional multicriteria decision-making methods, like AHP and TOPSIS, in order to evaluate alternatives according decision maker s preferences. The both techiniques were modeled by using definitions from the Fuzzy Sets Theory to deal with imprecise data. Additionally, we proposed a multiobjetive GRASP algorithm to perform an order allocation procedure between all pre-selected alternatives. These alternatives must to be pre-qualified on the basis of the AHP and TOPSIS methods before entering the LCR. Our allocation procedure has presented low CPU times for five pseudorandom instances, containing up to 1000 alternatives, as well as good values for all considered objectives. This way, we consider the proposed model as appropriate to solve the supplier selection problem in the SCM context. It can be used to help decision makers in reducing lead times, cost and risks in their supply chain. The proposed model can also improve firm s efficiency in relation to business strategies, according decision makers, even when a large number of alternatives must be considered, differently from classical models in purchasing literature

Avaliação do potencial do uso balanced scorecard: um estudo exploratório em Natal

Small businesses are experiencing growth scenario in emerging countries by the prospect of economic development, these countries, including Brazil, have a booming economy before the world crisis in the last five years, especially with the participation of small and medium enterprises. These factors generate increased competition and the need to expand market share through management actions in the quest for acquiring new customers. Moreover, these changes increase the need to properly use the information and organizational performance. Some national and international studies show the existence of peculiarities in small organizations, especially in environments of family management. Such particularities raise a scenario with several organizational deficiencies regarding the evaluation of their performance. In some cases, when there are static systems, traditional and focused only on the financial perspective, especially short term. Alternatively, the tools encourage strategic planning and observance of medium and long term, in many ways, whether financial, internal processes, customers, suppliers, and innovation, among others. Therefore, this study aims to identify and analyze the applicability of the system performance evaluation with emphasis on strategic and BSC - Balanced Scorecard. Regarding the research method, is classified as exploratory, with the participation of 25 companies, whose research was conducted between 2012 and 2013. Therefore, the research included the construction process and a structured questionnaire on practices and interest for the use of strategic tools, with emphasis on the Balanced Scorecard. Whose main result presented a high degree of interest in the applicability of the BSC by most of the participating institutions. Furthermore, It was observed the growing interest in using the Balanced Scorecard when it increases the company size, regardless of the area of market action. Participating companies have shown an outline of the strategic objectives and the establishment of indicators for assessing the performance due to their correlations with the BSC

Gestão ambiental na agricultura: um estudo sobre fatores associados à conscientização ambiental em estudantes de uma escola agrotécnica

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

Classificação de imagens de ambientes coralinos: uma abordagem empregando uma combinação de classificadores e máquina de vetor de suporte

The use of the maps obtained from remote sensing orbital images submitted to digital processing became fundamental to optimize conservation and monitoring actions of the coral reefs. However, the accuracy reached in the mapping of submerged areas is limited by variation of the water column that degrades the signal received by the orbital sensor and introduces errors in the final result of the classification. The limited capacity of the traditional methods based on conventional statistical techniques to solve the problems related to the inter-classes took the search of alternative strategies in the area of the Computational Intelligence. In this work an ensemble classifiers was built based on the combination of Support Vector Machines and Minimum Distance Classifier with the objective of classifying remotely sensed images of coral reefs ecosystem. The system is composed by three stages, through which the progressive refinement of the classification process happens. The patterns that received an ambiguous classification in a certain stage of the process were revalued in the subsequent stage. The prediction non ambiguous for all the data happened through the reduction or elimination of the false positive. The images were classified into five bottom-types: deep water; under-water corals; inter-tidal corals; algal and sandy bottom. The highest overall accuracy (89%) was obtained from SVM with polynomial kernel. The accuracy of the classified image was compared through the use of error matrix to the results obtained by the application of other classification methods based on a single classifier (neural network and the k-means algorithm). In the final, the comparison of results achieved demonstrated the potential of the ensemble classifiers as a tool of classification of images from submerged areas subject to the noise caused by atmospheric effects and the water column

H-N2N : uma arquitetura hierárquica escalável para ambientes de realidade mista de grande porte

In this work, we propose a solution to solve the scalability problem found in collaborative, virtual and mixed reality environments of large scale, that use the hierarchical client-server model. Basically, we use a hierarchy of servers. When the capacity of a server is reached, a new server is created as a sun of the first one, and the system load is distributed between them (father and sun). We propose efficient tools and techniques for solving problems inherent to client-server model, as the definition of clusters of users, distribution and redistribution of users through the servers, and some mixing and filtering operations, that are necessary to reduce flow between servers. The new model was tested, in simulation, emulation and in interactive applications that were implemented. The results of these experimentations show enhancements in the traditional, previous models indicating the usability of the proposed in problems of all-to-all communications. This is the case of interactive games and other applications devoted to Internet (including multi-user environments) and interactive applications of the Brazilian Digital Television System, to be developed by the research group. Keywords: large scale virtual environments, interactive digital tv, distributed

Algoritmo Q-learning como estratégia de exploração e/ou explotação para metaheurísticas GRASP e algoritmo genético

Techniques of optimization known as metaheuristics have achieved success in the resolution of many problems classified as NP-Hard. These methods use non deterministic approaches that reach very good solutions which, however, don t guarantee the determination of the global optimum. Beyond the inherent difficulties related to the complexity that characterizes the optimization problems, the metaheuristics still face the dilemma of xploration/exploitation, which consists of choosing between a greedy search and a wider exploration of the solution space. A way to guide such algorithms during the searching of better solutions is supplying them with more knowledge of the problem through the use of a intelligent agent, able to recognize promising regions and also identify when they should diversify the direction of the search. This way, this work proposes the use of Reinforcement Learning technique - Q-learning Algorithm - as exploration/exploitation strategy for the metaheuristics GRASP (Greedy Randomized Adaptive Search Procedure) and Genetic Algorithm. The GRASP metaheuristic uses Q-learning instead of the traditional greedy-random algorithm in the construction phase. This replacement has the purpose of improving the quality of the initial solutions that are used in the local search phase of the GRASP, and also provides for the metaheuristic an adaptive memory mechanism that allows the reuse of good previous decisions and also avoids the repetition of bad decisions. In the Genetic Algorithm, the Q-learning algorithm was used to generate an initial population of high fitness, and after a determined number of generations, where the rate of diversity of the population is less than a certain limit L, it also was applied to supply one of the parents to be used in the genetic crossover operator. Another significant change in the hybrid genetic algorithm is the proposal of a mutually interactive cooperation process between the genetic operators and the Q-learning algorithm. In this interactive/cooperative process, the Q-learning algorithm receives an additional update in the matrix of Q-values based on the current best solution of the Genetic Algorithm. The computational experiments presented in this thesis compares the results obtained with the implementation of traditional versions of GRASP metaheuristic and Genetic Algorithm, with those obtained using the proposed hybrid methods. Both algorithms had been applied successfully to the symmetrical Traveling Salesman Problem, which was modeled as a Markov decision process

Um protocolo de comunicação multicast na camada de aplicação com Consciência de Localização

Internet applications such as media streaming, collaborative computing and massive multiplayer are on the rise,. This leads to the need for multicast communication, but unfortunately group communications support based on IP multicast has not been widely adopted due to a combination of technical and non-technical problems. Therefore, a number of different application-layer multicast schemes have been proposed in recent literature to overcome the drawbacks. In addition, these applications often behave as both providers and clients of services, being called peer-topeer applications, and where participants come and go very dynamically. Thus, servercentric architectures for membership management have well-known problems related to scalability and fault-tolerance, and even peer-to-peer traditional solutions need to have some mechanism that takes into account member's volatility. The idea of location awareness distributes the participants in the overlay network according to their proximity in the underlying network allowing a better performance. Given this context, this thesis proposes an application layer multicast protocol, called LAALM, which takes into account the actual network topology in the assembly process of the overlay network. The membership algorithm uses a new metric, IPXY, to provide location awareness through the processing of local information, and it was implemented using a distributed shared and bi-directional tree. The algorithm also has a sub-optimal heuristic to minimize the cost of membership process. The protocol has been evaluated in two ways. First, through an own simulator developed in this work, where we evaluated the quality of distribution tree by metrics such as outdegree and path length. Second, reallife scenarios were built in the ns-3 network simulator where we evaluated the network protocol performance by metrics such as stress, stretch, time to first packet and reconfiguration group time

Aprendizado por Reforço com Valores deInfluência em Sistemas Multi-Agente

We propose a new paradigm for collective learning in multi-agent systems (MAS) as a solution to the problem in which several agents acting over the same environment must learn how to perform tasks, simultaneously, based on feedbacks given by each one of the other agents. We introduce the proposed paradigm in the form of a reinforcement learning algorithm, nominating it as reinforcement learning with influence values. While learning by rewards, each agent evaluates the relation between the current state and/or action executed at this state (actual believe) together with the reward obtained after all agents that are interacting perform their actions. The reward is a result of the interference of others. The agent considers the opinions of all its colleagues in order to attempt to change the values of its states and/or actions. The idea is that the system, as a whole, must reach an equilibrium, where all agents get satisfied with the obtained results. This means that the values of the state/actions pairs match the reward obtained by each agent. This dynamical way of setting the values for states and/or actions makes this new reinforcement learning paradigm the first to include, naturally, the fact that the presence of other agents in the environment turns it a dynamical model. As a direct result, we implicitly include the internal state, the actions and the rewards obtained by all the other agents in the internal state of each agent. This makes our proposal the first complete solution to the conceptual problem that rises when applying reinforcement learning in multi-agent systems, which is caused by the difference existent between the environment and agent models. With basis on the proposed model, we create the IVQ-learning algorithm that is exhaustive tested in repetitive games with two, three and four agents and in stochastic games that need cooperation and in games that need collaboration. This algorithm shows to be a good option for obtaining solutions that guarantee convergence to the Nash optimum equilibrium in cooperative problems. Experiments performed clear shows that the proposed paradigm is theoretical and experimentally superior to the traditional approaches. Yet, with the creation of this new paradigm the set of reinforcement learning applications in MAS grows up. That is, besides the possibility of applying the algorithm in traditional learning problems in MAS, as for example coordination of tasks in multi-robot systems, it is possible to apply reinforcement learning in problems that are essentially collaborative

Desenvolvimento de um sistema de automação para uma planta de inertização de resíduos por plasma

The traditional processes for treatment of hazardous waste are questionable for it generates other wastes that adversely affect people s health. As an attempt to minimize these problems, it was developed a system for treatment of hazardous waste by thermal plasma, a more appropriate technology since it produces high temperatures, preventing the formation of toxic pollutants to human beings. The present work brings out a solution of automation for this plant. The system has local and remote monitoring resources to ensure the operators security as well as the process itself. A special attention was given to the control of the main reactor temperature of the plant as it is the place where the main processing occurs and because it presents a complex mathematical model. To this, it was employed cascaded controls based on Fuzzy logic. A process computer, with a particular man-machine interface (MMI), provides information and controls of the plant to the operator, including by Internet. A compact PLC module is in charge of the central element of management automation and plant control which receives information from sensors, and sends it to the MMI

Seleção seqüencial de descritores por análise da semântica para recuperação de imagens baseada no conteúdo

With the rapid growth of databases of various types (text, multimedia, etc..), There exist a need to propose methods for ordering, access and retrieve data in a simple and fast way. The images databases, in addition to these needs, require a representation of the images so that the semantic content characteristics are considered. Accordingly, several proposals such as the textual annotations based retrieval has been made. In the annotations approach, the recovery is based on the comparison between the textual description that a user can make of images and descriptions of the images stored in database. Among its drawbacks, it is noted that the textual description is very dependent on the observer, in addition to the computational effort required to describe all the images in database. Another approach is the content based image retrieval - CBIR, where each image is represented by low-level features such as: color, shape, texture, etc. In this sense, the results in the area of CBIR has been very promising. However, the representation of the images semantic by low-level features is an open problem. New algorithms for the extraction of features as well as new methods of indexing have been proposed in the literature. However, these algorithms become increasingly complex. So, doing an analysis, it is natural to ask whether there is a relationship between semantics and low-level features extracted in an image? and if there is a relationship, which descriptors better represent the semantic? which leads us to a new question: how to use descriptors to represent the content of the images?. The work presented in this thesis, proposes a method to analyze the relationship between low-level descriptors and semantics in an attempt to answer the questions before. Still, it was observed that there are three possibilities of indexing images: Using composed characteristic vectors, using parallel and independent index structures (for each descriptor or set of them) and using characteristic vectors sorted in sequential order. Thus, the first two forms have been widely studied and applied in literature, but there were no records of the third way has even been explored. So this thesis also proposes to index using a sequential structure of descriptors and also the order of these descriptors should be based on the relationship that exists between each descriptor and semantics of the users. Finally, the proposed index in this thesis revealed better than the traditional approachs and yet, was showed experimentally that the order in this sequence is important and there is a direct relationship between this order and the relationship of low-level descriptors with the semantics of the users