65 resultados para Desafios atuais da Estatística
Resumo:
This study analyzes the point of view of nurses working at a pediatric teaching hospital on their work process within the scope of the Brazilian unified healthcare system SUS, in order to identify factors that interfere with its development and find out how work relations are taking place between nurses, other nursing professionals and the multidisciplinary staff. It is a descriptive and analytical study, qualitative in nature, which starts with a consideration of a nurse s current practices and moves on to reflect on a perspective of transformation aiming at rethinking their work process pursuant to the principles of SUS. In order to attain these objectives, we decided on using the focal group as a data-collecting technique, which took place from November to December 2005, by using as instruments a questionnaire for the characterization of the persons being researched and a discussion outline. Theoretical support has approached transformations in the world of work, placing it in the context of healthcare and nursing and has tried, specifically, to understand the work process of a nurse engaged in the production of health services. Therefore, the discourse analysis of participants, in the light of theoretical support, has evinced an ambiguity inasmuch as though identified as such in their work process, nurses are also fulfilling multiple functions in health services. Through this study it has also been possible to identify several factors that interfere with the work of these professionals, including poor working conditions and excessive hiring of high school graduate interns as an attempt to make up for a meager nursing workforce, as well as reveal the possibilities brought about by the SUS in retargeting its professional practice to interdisciplinarity and integrality
Resumo:
The Brazilian Psychiatric Reform proposes creating linkages / interactions of the mentally ill with civil society , through promoting citizenship and assistance to the mentally ill. The deinstitutionalization of mental health advocates from the guidelines decreased supply of hospital beds and consequently the creation of substitute services for psychosocial care, especially with regard to therapeutic practices emancipatory. From this scenario, the present study aims to investigate the relevance and challenges of the process of nursing work in CAPS III in Natal / RN. It is descriptive research with a qualitative and exploratory. The subjects are employees of the nursing team in CAPS III East of Natal / RN. This service has actions for the psychosocial care of the subjects treated with daily multidisciplinary care by behaving the length of treatment and follow-up activities, industrial and cultural activities. Employ the semi-structured interview as a tool for data collection. The data analysis was done by means of thematic analysis proposed by Bardin. Thus, this sought to bring to the discussion of how this process is consolidated in the daily service. Thus, purposed to contribute to the debate on deinstitutionalization in psychosocial care as a guideline in the process of mental health nursing work in a CAPSIII, Natal / RN
Resumo:
The Expansion Plan of the Federal Network of Vocational Education foresees the construction of 860 new units of instruction until 2020, representing a strong growth against the 140 existing units prior to its disclosure by Federal Government of Brazil, in 2005. The Federal Institutes of Education, Science and Technology have been performing the expansion while experiencing the shortcomings and challenges of units still in development, created in previous phases of the Plan. The quality of the services of these institutions has been evaluated by the control bodies, which require the submission of performance indicators in annual management reports of institutions under their jurisdiction. In this context of expansion process, particularly, is desirable to identify possible changes in quality standards. Thus, this research was motivated by the following problem: there was difference in the performance of the Federal Institutes of Education, Science and Technology after the inauguration of the first units of phase II of the Expansion Plan of the Federal Network of Vocational Education? This is an exploratory-descriptive, ex-post-facto, quantitative approach research, which aims to contribute to the knowledge of the impact of the expansion of the Federal Network. The data were collected from 12 indicators presented in management reports of 38 Federal Institutes through years 2007 to 2011 to evaluate the performances using descriptive statistical techniques. The indicators were analyzed in both consolidated and open manners by the following perspectives: country region, growth of instruction units and institutions origin. Was also performed a multivariate analysis of clusters in order to identify excellence groups of Institutes. The results showed differences in the expansion plan s development among Brazilian regions, both in terms of infrastructure and academic indicators, with better results in the Midwest and South, and that there are differentiated profiles of institutes as its origin, where the best quality indicators occur in those originated by integration of different educational institutions. Still, were identified two excellence groups, with emphasis on academic management, human resources and expansion
Resumo:
A Indústria Farmacêutica é uma das mais competitivas indústrias do mundo contemporâneo, e um dos seus principais desafios está na comercialização de seus medicamentos, que na sua maioria depende da prescrição médica. O objetivo deste estudo é identificar as estratégias de avaliação de desempenho utilizadas pela Indústria Farmacêutica de origem multinacional que atua no nordeste Brasileiro e o papel dos seus gerentes, para avaliar os propagandistas vendedores de medicamentos. Para tanto, buscouse reunir elementos para uma abordagem satisfatória que contemple a complexidade da temática pesquisada: Avaliação de Desempenho, Estratégias da Indústria Farmacêutica, Propaganda Médica e Competências dos Propagandistas de Medicamentos. A temática justifica-se em razão da importância estratégica dos propagandistas de medicamentos para a indústria farmacêutica, que é uma das indústrias que mais investe em pesquisa na atualidade, e contribui para melhorar a qualidade de vida e a saúde humana. A metodologia é caracterizada como um survey, de natureza quali-quantitativa. O objeto de estudo é composto pelas empresas farmacêuticas multinacionais de origem Americanas, Europeias e Asiáticas, associadas à INTERFARMA que atuam no Nordeste do Brasil. A coleta de dados foi realizada através de um questionário fechado (instrumento de pesquisa), composto por 5 perguntas fechadas que abordam a temática central dessa dissertação, 27 afirmativas para medir a concordância(escala likert) e 1 tabela contendo 46 competências, aplicado junto a gerentes da indústria farmacêutica. A análise dos dados foi feita por meio das técnicas de estatística descritiva e uma análise quantitativa para estabelecer o Ranking Médio (RM) para a parte do questionário que utilizou escala tipo Likert de 5 pontos para mensurar o grau de concordância dos respondestes. Através dos resultados desta pesquisa foi possível identificar as estratégias de avaliação de desempenho, utilizadas pelas empresas farmacêuticas, que atuam no Nordeste do Brasil, na gestão dos propagandistas vendedores de medicamentos, e identificar as competências essenciais dos propagandistas de medicamentos, na percepção dos gestores. Os resultados demonstraram que a Indústria Farmacêutica desenvolve e utiliza várias estratégias para medir e avaliar o desempenho dos propagandistas de medicamentos no Brasil, assim como em outros países, e que na percepção dos gerentes da Indústria Farmacêutica existem competências consideradas essenciais ao bom desempenho profissional dos propagandistas de medicamentos da indústria farmacêutica, contribuindo de para avanço do conhecimento deste tema
Resumo:
This dissertation aims to identify the profile of the course coordinators of the Estacio/Natal Group Units , toward an understanding of the factors that can improve the relationship of this person within the HEIs surveyed , with students , teachers , directors . Seeks to understand the entrepreneurial and strategic actions in offering quality higher education . At first , a literature search , with the purpose of collecting issues related to theme , focusing on the concepts and landscapes through which they come to higher education was conducted , the course coordinator and entrepreneur profile. The research approach is quantitative . As for goals is descriptive exploratory , by providing greater understanding of the phenomenon investigated and understand the relationships among the concepts involved in the issue studied . A survey of data was done through personal interview , since this method allows the study of questions based on organizational and managerial field. The object of investigation are all the course coordinators of the four units of Estacio / Natal Group . The research instrument consisted of 13 closed questions to identify the profile of the engineer, 17 questions with Likert scale of 5 points for identifying the entrepreneurial profile , 42 questions with Likert scale of 5 points which measured the dimensions of the activity coordinator , 4 open and optional questions that measured the difficulties and opportunities that impact the development of entrepreneurship in the management of courses . Was used as statistical method ( analysis) and descriptive statistics. We conclude that the information collected and knowledge gained can contribute to the HEIs surveyed overcome challenges , foster strategic innovation management courses focusing on the implementation of a new vision of the course coordinator , as a professional who balances skills management and pedagogical skills , and innovation through entrepreneurial skills
Resumo:
The problems of combinatory optimization have involved a large number of researchers in search of approximative solutions for them, since it is generally accepted that they are unsolvable in polynomial time. Initially, these solutions were focused on heuristics. Currently, metaheuristics are used more for this task, especially those based on evolutionary algorithms. The two main contributions of this work are: the creation of what is called an -Operon- heuristic, for the construction of the information chains necessary for the implementation of transgenetic (evolutionary) algorithms, mainly using statistical methodology - the Cluster Analysis and the Principal Component Analysis; and the utilization of statistical analyses that are adequate for the evaluation of the performance of the algorithms that are developed to solve these problems. The aim of the Operon is to construct good quality dynamic information chains to promote an -intelligent- search in the space of solutions. The Traveling Salesman Problem (TSP) is intended for applications based on a transgenetic algorithmic known as ProtoG. A strategy is also proposed for the renovation of part of the chromosome population indicated by adopting a minimum limit in the coefficient of variation of the adequation function of the individuals, with calculations based on the population. Statistical methodology is used for the evaluation of the performance of four algorithms, as follows: the proposed ProtoG, two memetic algorithms and a Simulated Annealing algorithm. Three performance analyses of these algorithms are proposed. The first is accomplished through the Logistic Regression, based on the probability of finding an optimal solution for a TSP instance by the algorithm being tested. The second is accomplished through Survival Analysis, based on a probability of the time observed for its execution until an optimal solution is achieved. The third is accomplished by means of a non-parametric Analysis of Variance, considering the Percent Error of the Solution (PES) obtained by the percentage in which the solution found exceeds the best solution available in the literature. Six experiments have been conducted applied to sixty-one instances of Euclidean TSP with sizes of up to 1,655 cities. The first two experiments deal with the adjustments of four parameters used in the ProtoG algorithm in an attempt to improve its performance. The last four have been undertaken to evaluate the performance of the ProtoG in comparison to the three algorithms adopted. For these sixty-one instances, it has been concluded on the grounds of statistical tests that there is evidence that the ProtoG performs better than these three algorithms in fifty instances. In addition, for the thirty-six instances considered in the last three trials in which the performance of the algorithms was evaluated through PES, it was observed that the PES average obtained with the ProtoG was less than 1% in almost half of these instances, having reached the greatest average for one instance of 1,173 cities, with an PES average equal to 3.52%. Therefore, the ProtoG can be considered a competitive algorithm for solving the TSP, since it is not rare in the literature find PESs averages greater than 10% to be reported for instances of this size.
Resumo:
Currently, one of the biggest challenges for the field of data mining is to perform cluster analysis on complex data. Several techniques have been proposed but, in general, they can only achieve good results within specific areas providing no consensus of what would be the best way to group this kind of data. In general, these techniques fail due to non-realistic assumptions about the true probability distribution of the data. Based on this, this thesis proposes a new measure based on Cross Information Potential that uses representative points of the dataset and statistics extracted directly from data to measure the interaction between groups. The proposed approach allows us to use all advantages of this information-theoretic descriptor and solves the limitations imposed on it by its own nature. From this, two cost functions and three algorithms have been proposed to perform cluster analysis. As the use of Information Theory captures the relationship between different patterns, regardless of assumptions about the nature of this relationship, the proposed approach was able to achieve a better performance than the main algorithms in literature. These results apply to the context of synthetic data designed to test the algorithms in specific situations and to real data extracted from problems of different fields
Resumo:
Nowadays, where the market competition requires products with better quality and a constant search for cost savings and a better use of raw materials, the research for more efficient control strategies becomes vital. In Natural Gas Processin Units (NGPUs), as in the most chemical processes, the quality control is accomplished through their products composition. However, the chemical composition analysis has a long measurement time, even when performed by instruments such as gas chromatographs. This fact hinders the development of control strategies to provide a better process yield. The natural gas processing is one of the most important activities in the petroleum industry. The main economic product of a NGPU is the liquefied petroleum gas (LPG). The LPG is ideally composed by propane and butane, however, in practice, its composition has some contaminants, such as ethane and pentane. In this work is proposed an inferential system using neural networks to estimate the ethane and pentane mole fractions in LPG and the propane mole fraction in residual gas. The goal is to provide the values of these estimated variables in every minute using a single multilayer neural network, making it possibly to apply inferential control techniques in order to monitor the LPG quality and to reduce the propane loss in the process. To develop this work a NGPU was simulated in HYSYS R software, composed by two distillation collumns: deethanizer and debutanizer. The inference is performed through the process variables of the PID controllers present in the instrumentation of these columns. To reduce the complexity of the inferential neural network is used the statistical technique of principal component analysis to decrease the number of network inputs, thus forming a hybrid inferential system. It is also proposed in this work a simple strategy to correct the inferential system in real-time, based on measurements of the chromatographs which may exist in process under study
Resumo:
The manufacture of prostheses for lower limb amputees (transfemural and transtibial) requires the preparation of a cartridge with appropriate and custom fit to the profile of each patient. The traditional process to the patients, mainly in public hospitals in Brazil, begins with the completion of a form where types of equipment, plugins, measures, levels of amputation etc. are identified. Currently, such work is carried out manually using a common metric tape and caliper of wood to take the measures of the stump, featuring a very rudimentary, and with a high degree of uncertainty geometry of the final product. To address this problem, it was necessary to act in two simultaneously and correlated directions. Originally, it was developed an integrated tool for viewing 3D CAD for transfemoral types of prostheses and transtibial called OrtoCAD I. At the same time, it was necessary to design and build a reader Mechanical equipment (sort of three-dimensional scanner simplified) able to obtain, automatically and with accuracy, the geometric information of either of the stump or the healthy leg. The methodology includes the application of concepts of reverse engineering to computationally generate the representation of the stump and/or the reverse image of the healthy member. The materials used in the manufacturing of prostheses nor always obey to a technical scientific criteria, because, if by one way it meets the criteria of resistance, by the other, it brings serious problems mainly due to excess of weight. This causes to the user various disorders due to lack of conformity. That problem was addressed with the creation of a hybrid composite material for the manufacture of cartridges of prostheses. Using the Reader Fitter and OrtoCAD, the new composite material, which aggregates the mechanical properties of strength and rigidity on important parameters such as low weight and low cost, it can be defined in its better way. Besides, it brings a reduction of up steps in the current processes of manufacturing or even the feasibility of using new processes, in the industries, in order to obtain the prostheses. In this sense, the hybridization of the composite with the combination of natural and synthetic fibers can be a viable solution to the challenges offered above
Resumo:
Among the main challenges in the beer industrial production is the market supply at the lowest cost and high quality, in order to ensure the expectations of customers and. consumers The beer fermentation stage represents approximately 70% of the whole time necessary to its production, having a obligatoriness of strict process controls to avoid becoming bottleneck in beer production. This stage is responsible for the formation of a series of subproducts, which are responsible for the composition of aroma/bouquet existing in beer and some of these subproducts, if produced in larger quantities, they will confer unpleasant taste and odor to the final product. Among the subproducts formed during the fermentation stage, total vicinal diketones is the main component, since it is limiting for product transfusion to the subsequent steps, besides having a low perception threshold by the consumer and giving undesirable taste and odor. Due to the instability of main raw materials quality and also process controls during fermentation, the development of alternative forms of beer production without impacting on total fermentation time and final product quality is a great challenge to breweries. In this work, a prior acidification of the pasty yeast was carried out, utilizing for that phosphoric acid, food grade, reducing yeast pH of about 5.30 to 2.20 and altering its characteristic from flocculent to pulverulent during beer fermentation. An increase of six times was observed in amount of yeast cells in suspension in the second fermentation stage regarding to fermentations by yeast with no prior acidification. With alteration on two input variables, temperature curve and cell multiplication, which goal was to minimize the maximum values for diketones detected in the fermenter tank, a reduction was obtained from peak of formed diacetyl and consequently contributed to reduction in fermentation time and total process time. Several experiments were performed with those process changes in order to verify the influence on the total fermentation time and total vicinal diketones concentration at the end of fermentation. This experiment reached as the best production result a total fermentation time of 151 hours and total vicinal diketone concentration of 0.08 ppm. The mass of yeast in suspension in the second phase of fermentation increased from 2.45 x 106 to 16.38 x 106 cells/mL of yeast, which fact is key to a greater efficiency in reducing total vicinal diketones existing in the medium, confirming that the prior yeast acidification, as well as the control of temperature and yeast cell multiplication in fermentative process enhances the performance of diketones reduction and consequently reduce the total fermentation time with diketones concentration below the expected value (Max: 0.10 ppm)
Resumo:
This study has as its aim the elaboration, presentation and application of a proposal which makes possible an inter-disciplinary relationship between knowledge of physics and geography in the graduation course for forming geography teachers in the Dom Aureliano Matos Faculty of Philosophy in the city of Limoeiro do Norte in the State of Ceára. Initially, we observe in pertinent literature and opinions of specialists what capacities and abilities are suggested for a future teacher of geography. Following that, we select subject matter which broaches upon physic concepts and may be contextualized within topics present in the daily fare of a geography teacher, such as natural phenomena related principally to natural environment and climate, envolving astronomic features, using didactic materials and resources in easily understood language and without the excessive presence of mathematical formulas. An evaluation of the experience allows us to affirm that inter-disciplinary treatment, as an important alternative for curriculam organization, when applied in the classroom shows that there is better learning, a reduction in class evasion and a significant fall in failures when compared with traditional proposals for the teaching of physics in relation to geography. On the other hand, it is notable that to maintain and augment such measures it is a challenge to be met, with the purpose that students of other courses may perceive that physic concepts have much to do with their reality, and that understanding them is relevant for their professional and personal formation
Resumo:
In the 20th century, the acupuncture has spread on occident as a complementary practice of heath care. This fact has motivated the international scientific community to invest in research that seek to understand why acupuncture works. In this work we compare statistically volt age fluctuation of bioelectric signals caught on the skin at an acupuncture point (IG 4) another nearby on acupuncture point. The acquisition of these signals was performed utilizing an electronic interface with a computer, which was based on an instrumentation amplifier designed with adequate specifications to this end. On the collected signals from a sample of 30 volunteers we have calculated major statistics and submitted them to pairing t-test with significance leveI a = O, 05. We have estimated to bioelectric signals the following parameters: standard deviation, asymmetry and curtose. Moreover, we have calculated the self-correlation function matched by on exponential curve we have observed that the signal decays more rapidly from a non-acupoint then from an acupoint. This fact is an indicative of the existence of information in the acupoint
Resumo:
O processamento de registros sísmicos é uma tarefa muito importante dentro da Geofísica e que representa um desafio permanente na exploração de petróleo. Embora esses sinais forneçam uma imagem adequada da estrutura geológica do subsolo, eles são contaminados por ruídos e, o ground roll é a componente principal. Este fato exige um esforço grande para o desenvolvimento de metodologias para filtragem, Dentro desse contexto, este trabalho tem como objetivo apresentar um método de remoção do ruído ground roll fazendo uso de ferramentas da Física Estatística. No método, a Análise em Ondeletas é combinada com a Transformada de Karhunen-Loève para a remoção em uma região bem localizada. O processo de filtragem começa com a Decomposição em Multiescala. Essa técnica permite uma representação em tempo-escala fazendo uso das ondeletas discretas implementadas a filtros de reconstrução perfeita. O padrão sísmico original fica representado em multipadrões: um por escala. Assim, pode-se atenuar o ground roll como uma operação cirúrgica em cada escala, somente na região onde sua presença é forte, permitindo preservar o máximo de informações relevantes. A atenuação é realizada pela definição de um fator de atenuação Af. Sua escolha é feita pelo comportamento dos modos de energia da Transformada de Karhunen-Loève. O ponto correspondendo a um mínimo de energia do primeiro modo é identificado como um fator de atenuação ótimo
Resumo:
Systems whose spectra are fractals or multifractals have received a lot of attention in recent years. The complete understanding of the behavior of many physical properties of these systems is still far from being complete because of the complexity of such systems. Thus, new applications and new methods of study of their spectra have been proposed and consequently a light has been thrown on their properties, enabling a better understanding of these systems. We present in this work initially the basic and necessary theoretical framework regarding the calculation of energy spectrum of elementary excitations in some systems, especially in quasiperiodic ones. Later we show, by using the Schr¨odinger equation in tight-binding approximation, the results for the specific heat of electrons within the statistical mechanics of Boltzmann-Gibbs for one-dimensional quasiperiodic systems, growth by following the Fibonacci and Double Period rules. Structures of this type have already been exploited enough, however the use of non-extensive statistical mechanics proposed by Constantino Tsallis is well suited to systems that have a fractal profile, and therefore our main objective was to apply it to the calculation of thermodynamical quantities, by extending a little more the understanding of the properties of these systems. Accordingly, we calculate, analytical and numerically, the generalized specific heat of electrons in one-dimensional quasiperiodic systems (quasicrystals) generated by the Fibonacci and Double Period sequences. The electronic spectra were obtained by solving the Schr¨odinger equation in the tight-binding approach. Numerical results are presented for the two types of systems with different values of the parameter of nonextensivity q
Resumo:
In this work we study a connection between a non-Gaussian statistics, the Kaniadakis
statistics, and Complex Networks. We show that the degree distribution P(k)of
a scale free-network, can be calculated using a maximization of information entropy in
the context of non-gaussian statistics. As an example, a numerical analysis based on the
preferential attachment growth model is discussed, as well as a numerical behavior of
the Kaniadakis and Tsallis degree distribution is compared. We also analyze the diffusive
epidemic process (DEP) on a regular lattice one-dimensional. The model is composed
of A (healthy) and B (sick) species that independently diffusive on lattice with diffusion
rates DA and DB for which the probabilistic dynamical rule A + B → 2B and B → A. This
model belongs to the category of non-equilibrium systems with an absorbing state and a
phase transition between active an inactive states. We investigate the critical behavior of
the DEP using an auto-adaptive algorithm to find critical points: the method of automatic
searching for critical points (MASCP). We compare our results with the literature and we
find that the MASCP successfully finds the critical exponents 1/ѵ and 1/zѵ in all the cases
DA =DB, DA