Benefícios e dificuldades na adoção de um sistema de gestão da qualidade no Rio Grande do Norte

Taking competitive advantage or satisfy the client are the reasons why companies have been implementing a Quality Management System (QMS). It brings benefits such as the improvement in the processes, products and services; an enhancement in the image of the company (marketing) and satisfaction of the clients. As a whole, this paper aims to evaluate the results obtained from the implementation of the QMS in the certified companies in the ISO 9001 standard, contained in the database of INMETRO, of the Rio Grande do Norte State (RN). In order to achieve the goals, a bibliographical research about the theme quality management system was made and, subsequently a survey was made with the managers of the certified companies in RN, using the online questionnaire. Out of 27 companies that have the certificate in Rio Grande do Norte, 21 responded the data collection instrument. The data analysis was made through techniques of descriptive and multivariate statistics: cluster analysis. The research instrument used contained 20 questions that address the main theme of this dissertation. Using the cluster analysis, four groupings that possessed similarities concerning the survey answers were found. This analysis allowed us to conclude that the QMS boosts significant improvements in the organizations, such as: quality in the reputation of the company and sales increase. On the other hand, it allowed us to identify as main difficulties: the dissemination of the quality culture, lack of commitment of the whole organization and the resistance of the workers

Genetic parameters of total milk yield and factors describing the shape of lactation curve in dairy buffaloes

The objective of this study was to apply factor analysis to describe lactation curves in dairy buffaloes in order to estimate the phenotypic and genetic association between common latent factors and cumulative milk yield. A total of 31 257 monthly test-day milk yield records from buffaloes belonging to herds located in the state of São Paulo were used to estimate two common latent factors, which were then analysed in a multi-trait animal model for estimating genetic parameters. Estimates of (co)variance components for the two common latent factors and cumulated 270-d milk yield were obtained by Bayesian inference using a multiple trait animal model. Contemporary group, number of milkings per day (two levels) and age of buffalo cow at calving (linear and quadratic) as covariate were included in the model as fixed effects. The additive genetic, permanent environmental and residual effects were included as random effects. The first common latent factor (F1) was associated with persistency of lactation and the second common latent factor (F2) with the level of production in early lactation. Heritability estimates for Fl and F2 were 0.12 and 0.07, respectively. Genetic correlation estimates between El and F2 with cumulative milk yield were positive and moderate (0.63 and 0.52). Multivariate statistics employing factor analysis allowed the extraction of two variables (latent factors) that described the shape of the lactation curve. It is expected that the response to selection to increase lactation persistency is higher than the response obtained from selecting animals to increase lactation peak. Selection for higher total milk yield would result in a favourable correlated response to increase the level of production in early lactation and the lactation persistency.

Caracterização de água produzida na indústria de petróleo para fins de descarte e otimização do processo de separação óleo/água

The oil industry has several segments that can impact the environment. Among these, produced water which has been highlight in the environmental problem because of the great volume generated and its toxic composition. Those waters are the major source of waste in the oil industry. The composition of the produced water is strongly dependent on the production field. A good example is the wastewater produced on a Petrobras operating unit of Rio Grande do Norte and Ceará (UO-RNCE). A single effluent treatment station (ETS) of this unit receives effluent from 48 wells (onshore and offshore), which leads a large fluctuations in the water quality that can become a complicating factor for future treatment processes. The present work aims to realize a diagnosis of a sample of produced water from the OU - RNCE in compliance to certain physical and physico-chemical parameters (chloride concentration, conductivity, dissolved oxygen, pH, TOG (oil & grease), nitrate concentration, turbidity, salinity and temperature). The analysis of the effluent is accomplished by means of a MP TROLL 9500 Multiparameter probe, a TOG/TPH Infracal from Wilks Enterprise Corp. - Model HATR - T (TOG) and a MD-31 condutivimeter of Digimed. Results were analyzed by univariated and multivariated analysis (principal component analysis) associated statistical control charts. The multivariate analysis showed a negative correlation between dissolved oxygen and turbidity (-0.55) and positive correlations between salinity and chloride (1), conductivity, chloride and salinity (0.70). Multivariated analysis showed there are seven principal components which can explain the variability of the parameters. The variables, salinity, conductivity and chloride were the most important variables, with, higher sampling variance. Statistical control charts have helped to establish a general trend between the physical and chemical evaluated parameters

Avaliação da estratégia saúde da família na capital potiguar

This research aimed to evaluate the Family Health Strategy (FHS) in Natal, Rio Grande do Norte, through its managers, professionals and users, having as its support the Theory of Belief and the Cognitive-Behavioral Theory. This is a multimethod research and is divided into three sub-studies. In the first study, nine managers answered to a semi-structured interview, to verify the knowledge and beliefs on SUS; the quantitative data were analyzed with descriptive statistics with the aid of SPSS software and the qualitative data were submitted to lexical analysis with support of ALCESTE software. In the second study, we have a descriptive correlational research in which the antecedent variables are related to working conditions in the family health units (FHUs) and to the professionals‟ profile; the corresponding variables refer to the evaluations of the FHS; a stratified probabilistic sample with 475 professionals, who answered to two scales, both consisting of three factors: Physical infrastructure, Material resources, and Treatment effectiveness, and data were analyzed using descriptive, bivariate and multivariate statistics, with the aid of SPSS. The third study is a descriptive correlational research in which the antecedent variables refer to the treatment in the FHUs and to the users‟ profile, and the corresponding variables refer to the evaluations of the FHS, with a stratified non-probabilistic sample with 390 users, who contributed to the construction of a new scale with a factor, effectiveness in treatment, analyzed through descriptive, bivariate and multivariate statistics, with the aid of SPSS. The results showed problems which start from management, under the shape of admission due to political indication and lack of knowledge on SUS and the FHS; they pass through the low tenure of professionals and insufficient professional; and they end up spreading all over the analyzed items: infrastructure of FHUs, material resources, professionals‟ training, accessibility and referral system. One concludes that, despite following an ideal model, the FHS is in need of changes with regard to the barriers to its operational reality

Caste Asymmetries in the Neotropical Swarm-Founding Wasp Polybia (Trychothorax) ignobilis (Hymenoptera, Vespidae, Epiponini)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

CRANIOMETRIC VARIATION AND SUBSPECIFIC DIFFERENTIATION IN THRICHOMYS APEREOIDES IN NORTHEASTERN BRAZIL (RODENTIA, ECHIMYIDAE)

Thrichomys apereoides is an echimyid rodent which ranges in distribution from northeastern and central Brazil into Paraguay. Five subspecies are recognized, although each form is not well characterized and diagnosis is based primarily in pelage color variation. In this study we employed procedures from multivariate statistics to assess the systematic status of subspecies described from northeastern Brazil. The results of the craniometric analysis cannot be reconciled with the subspecies currently recognized for northeastern Brazil. Populations assigned to T. a. laurentius and T. a. inermis form a continuum of variation in cranial size, although they differ in cranial shape from a population from the locality of Bodoco in the state of Pernambuco. The implications of these findings for the systematics of T. apereoides are discussed.

Representacao grafica de dados multidimensionais com o auxilio de microcomputador

Software in BASIC (GWBASIC, version 2.0) and TURBO PASCAL (version 3.0) is presented for PC type microcomputers with the purpose of calculating the graphical method for multivariate data according to Andrews. Applying both softwares to data from the Irati Formation mesossaurides skull measures, in velocity and graphical quality, the TURBO PASCAL language performed better. -after English summary

Análise multivariada aplicada em bacias hidrográficas no município de Botucatu-SP

As imagens aerofotogramétricas de uma região registram os vários aspectos da paisagem, destacando a cobertura vegetal, a rede de drenagem e principalmente o relevo do terreno conjunto que caracterizam unidades morfométricas denominadas bacias hidrográficas. Neste trabalho aplicaram-se técnicas fotointerpretativas e estatística multivariada a variáveis do relevo, medidas em bacias hidrográficas de terceira ordem de ramificação pertencentes à bacia do rio Tiête no município de Botucatu-SP, com o objetivo de agrupar bacias segundo graus de similaridade, bem como inferir sobre a representatividade da distribuição espacial dos agrupamentos em relação ao Mapa Pedológico do Estado de São Paulo, da Embrapa de 1999. Foram utilizadas fotografias aéreas verticais, escala nominal aproximada 1:30000, (2005), cartas planialtimétricas escala 1:50000 e Mapa Pedológico do Estado de São Paulo. Foram estudadas 06 bacias hidrográficas de 3aordem de ramificação, situada na região fisiográfica denominada frente da cuesta abrangendo as unidades de solo Neossolos Litólicos (RL) e Latossolos Vermelhos distrófico (LVdf), sendo esta última predominante na área de estudo. O conjunto de variáveis de relevo mostrou-se eficiente no agrupamento das bacias conforme as unidades de solos ocorrentes, concordando com as unidades identificadas no Mapa Pedológico.

Potencial da espectroscopia no infravermelho próximo para distinção de carvão de madeira de Eucalyptus e nativa

The objective of this study was to evaluate the potential of near infrared spectroscopy (NIRS) associated with multivariate statistics to distinguish coal produced from wood of planted and native forests. Timber forest species from the C errado (Cedrela sp., Aspidosperma sp., Jacaranda sp. and unknown species) and Eucalyptus clones from forestry companies (Vallourec and Cenibra) were carbonized in the final temperatures of 300, 500 and 700°C. In each heat treatment were carbonized 15 specimens of each vegetal material totaling 270 samples (3 treatments x 15 reps x 6 materials) produced in 18 carbonization (3 treatments x 6 materials). The acquisition of the spectra of coals in the near infrared using a spectrometer was performed. Principal Component Analysis (PCA) and Partial Least Squares Regression (PLS-R) were carried out in the spectra. NIR Spectroscopy associated with PCA was not able to differentiate charcoals produced from native and planted woods when utilizing all carbonized samples at different temperatures in the same analysis; The PCA of all charcoals was able to distinguish the samples depending on temperature in which they were carbonized. However, the separation of native and planted charcoal was possible when the samples were analyzed separately by final temperature. The prediction of native or planted classes by PLS-R presented better performance for samples carbonized at 300°C followed by those at 500°C, 700°C and for all together.

Morfometria de compartimentos hidrológicos e qualidade hídrica do município de Batatais-SP

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Ciclo de vida e estrutura de uma assembléia de peixes teleósteos em um manguezal da Raposa, Maranhão, Brasil

Pós-graduação em Ciências Biológicas (Zoologia) - IBRC

Functional traits of selected mangrove species in Brazil as biological indicators of different environmental conditions

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Methodological Difficulties of Conducting Agroecological Studies from a Statistical Perspective

Statistical methods for analyzing agroecological data might not be able to help agroecologists to solve all of the current problems concerning crop and animal husbandry, but such methods could well help them assess, tackle, and resolve several agroecological issues in a more reliable and accurate manner. Therefore, our goal in this article is to discuss the importance of statistical tools for alternative agronomic approaches, because alternative approaches, such as organic farming, should not only be promoted by encouraging farmers to deploy agroecological techniques, but also by providing agroecologists with robust analyses based on rigorous statistical procedures.

Pollen morphology of Fridericia Mart. (Bignoniaceae) from Brazilian forest fragments

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Estimativas de parâmetros genéticos em linhagens avançadas de soja

Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV