Diagnóstico das espécies ativas do plasma usado em tratamentos termoquímicos do titânio

Plasma diagnostics by Optical Emission Spectroscopy were performed for electrical discharge in three gas mixture respecting the combinations z N2 y Ar x H2, z N2 y Ar x O2 e z N2 y Ar x CH4, in which the indexes z and y systematically vary from 1 to 4 and x varies from 0 to 4, every one has dimension SCCM, resulting in 80 combinations. From the all obtained spectrums, the species CH (387,1 nm), N2+ (391,4 nm), Hβ (486,1 nm), Hα (656,3 nm), Ar (750,4 nm), O (777,4 nm) e O (842,6 nm) were analyzed because of their abundance and importance on the kinetic of reaction from the plasma to surface, besides their high dependences on the gases flows. Particularly interesting z, y and x combinations were chosen in order to study the influence of active species on the surface modification during the thermochemical treatment. From the mixtures N2 Ar O2 e N2 Ar CH4 were chosen three peculiar proportions which presented luminous intensity profile with unexpected maximum or minimum values, denominated as plasma anomaly. Those plasma concentrations were utilized as atmosphere of titanium treatment maintaining constant the control parameters pressure and temperature. It has been verified a relation among luminous intensity associated to N2+ and roughness, nanohardness and O atoms diffusion into the crystalline lattice of treated titanium and it has been seen which those properties becomes more intense precisely in the higher points found in the optical profile associated to the N2+ specie. Those parameters were verified for the mixture which involved O2 gas. For the mixture which involves CH4 gas, the relation was determinate by roughness, number of nitrogen and carbon atoms diffused into the titanium structure which presented direct proportionality with the luminous intensity referent to the N2+ and CH. It has been yet studied the formation of TiCN phases on the surface which presented to be essentially directly proportional to the increasing of the CH specie and inversely proportional to the increasing of the specie N2+

Modelagem estocástica do índice de radiação ultravioleta na costa leste do nordeste do Brasil

The increase in ultraviolet radiation (UV) at surface, the high incidence of non-melanoma skin cancer (NMSC) in coast of Northeast of Brazil (NEB) and reduction of total ozone were the motivation for the present study. The overall objective was to identify and understand the variability of UV or Index Ultraviolet Radiation (UV Index) in the capitals of the east coast of the NEB and adjust stochastic models to time series of UV index aiming make predictions (interpolations) and forecasts / projections (extrapolations) followed by trend analysis. The methodology consisted of applying multivariate analysis (principal component analysis and cluster analysis), Predictive Mean Matching method for filling gaps in the data, autoregressive distributed lag (ADL) and Mann-Kendal. The modeling via the ADL consisted of parameter estimation, diagnostics, residuals analysis and evaluation of the quality of the predictions and forecasts via mean squared error and Pearson correlation coefficient. The research results indicated that the annual variability of UV in the capital of Rio Grande do Norte (Natal) has a feature in the months of September and October that consisting of a stabilization / reduction of UV index because of the greater annual concentration total ozone. The increased amount of aerosol during this period contributes in lesser intensity for this event. The increased amount of aerosol during this period contributes in lesser intensity for this event. The application of cluster analysis on the east coast of the NEB showed that this event also occurs in the capitals of Paraiba (João Pessoa) and Pernambuco (Recife). Extreme events of UV in NEB were analyzed from the city of Natal and were associated with absence of cloud cover and levels below the annual average of total ozone and did not occurring in the entire region because of the uneven spatial distribution of these variables. The ADL (4, 1) model, adjusted with data of the UV index and total ozone to period 2001-2012 made a the projection / extrapolation for the next 30 years (2013-2043) indicating in end of that period an increase to the UV index of one unit (approximately), case total ozone maintain the downward trend observed in study period

Construindo um modelo de referência ao despertar do interesse dos sujeitos em projetos educativos em ambiente on-line

This dissertation was written for the making of a model to be used as reference to the construction and diagnoses of educational projects in on-line environments. The model approaches a series of characteristics, technical and humans, which if considered can increase the potential of awake the interests to the active use of these projects for the students and build conditions to the development of an active posture by the students, fundamental factor to the educational advances. Focused in the students, not in the technology in use, we propose this model as a guide, reference to be used in a critical way in relation with every educational context. This research was made from the qualitative category, trough the method of study of case, using as reference to the analysis the use of the website guanabara.info - website outside of the school context - by it users, heard through the internet, by the use of semi-opened interview, in a data taken of the primary type. We follow as theoretical references Paulo Freire´s work, considering his vision of education and the building of knowledge as a process which occurs between man, and Celestín Freinet, in his pedagogy of humanized and critical insertion of the technologies in the school. At the end, we show the practical utilization of the model constructed using it for the diagnostics of an educational project in the on-line educational environmental moodle

A gestão do conhecimento e a inovação tecnológica como fatores de sobrevivência e de competitividade na sociedade do conhecimento: uma análise exploratória das MPEs do Rio Grande do Norte

The study examines the process of Knowledge Management and Technological Innovation in Small and Micro Enterprises (SME) in Rio Grande do Norte, Brazil, and proposes actions that can contribute to regional development and competitiveness of SME. Presents as technological innovation can help to make the SME entrepreneurial activities with innovative and competitive. Defines the phases and activities of the construction of knowledge in small organizations. Examines the process of Innovation, Research and Development (R & D) in SME. Identifies the use of knowledge management and technological innovation in management practices and social interaction to influence the competitiveness of SME. Covers the communities of practice as a diffuser of knowledge and learning. To obtain the data were used questionnaires with closed questions with multiple choice, direct observations and interviews with companies. The questionnaires and interviews covered the topics of Innovation, Knowledge Management and Competitive Intelligence on SME. The sample consisted of a total of 13 Small and Micro Enterprises Award winning MPE Brazil Competitiveness, sponsored by SEBRAE in the State of Rio Grande do Norte. The assessment questionnaires dealing with the Knowledge Management (KM Diagnostics - Model Bukowitz and Williams, 2002) and the process of Technological Innovation (Adaptation of ANPEI - National Association for Research, Development and Engineering of Innovative Companies). With the analysis, we concluded that the SME perceive knowledge management, but not formalized management practices so as to facilitate the dissemination of information. Soon, these companies need additional supports to direct them to the innovative activities that generate added value and competitiveness in the market

Método Fuzzy para auxílio ao diagnóstico de câncer de mama em ambiente inteligente de telediagnóstico colaborativo para apoio à tomada de decisão

Breast cancer, despite being one of the leading causes of death among women worldwide is a disease that can be cured if diagnosed early. One of the main techniques used in the detection of breast cancer is the Fine Needle Aspirate FNA (aspiration puncture by thin needle) which, depending on the clinical case, requires the analysis of several medical specialists for the diagnosis development. However, such diagnosis and second opinions have been hampered by geographical dispersion of physicians and/or the difficulty in reconciling time to undertake work together. Within this reality, this PhD thesis uses computational intelligence in medical decision-making support for remote diagnosis. For that purpose, it presents a fuzzy method to assist the diagnosis of breast cancer, able to process and sort data extracted from breast tissue obtained by FNA. This method is integrated into a virtual environment for collaborative remote diagnosis, whose model was developed providing for the incorporation of prerequisite Modules for Pre Diagnosis to support medical decision. On the fuzzy Method Development, the process of knowledge acquisition was carried out by extraction and analysis of numerical data in gold standard data base and by interviews and discussions with medical experts. The method has been tested and validated with real cases and, according to the sensitivity and specificity achieved (correct diagnosis of tumors, malignant and benign respectively), the results obtained were satisfactory, considering the opinions of doctors and the quality standards for diagnosis of breast cancer and comparing them with other studies involving breast cancer diagnosis by FNA.

Reconhecimento de padrões de falhas em motores trifásicos utilizando redes neurais

This work presents a diagnosis faults system (rotor, stator, and contamination) of three-phase induction motor through equivalent circuit parameters and using techniques patterns recognition. The technology fault diagnostics in engines are evolving and becoming increasingly important in the field of electrical machinery. The neural networks have the ability to classify non-linear relationships between signals through the patterns identification of signals related. It is carried out induction motor´s simulations through the program Matlab R & Simulink R , and produced some faults from modifications in the equivalent circuit parameters. A system is implemented with multiples classifying neural network two neural networks to receive these results and, after well-trained, to accomplish the identification of fault´s pattern

Análise preditiva a partir da caracterização das emissões gasosas e do óleo lubrificante em frotas com motorização a diesel

This work was motivated by the importance of conducting a study of vehicle emissions in captive fleets with diesel engine, coupled with the predictive maintenance plan. This type of maintenance includes techniques designed to meet the growing market demand to reduce maintenance costs by increasing the reliability of diagnoses, which has increased interest in automated predictive maintenance on diesel engines, preventing problems that might evolve into routine turn into serious situations, solved only with complex and costly repairs, the Reliability Centered Maintenance, will be the methodology that will make our goal is reached, beyond maintaining the vehicles regulated as fuel consumption and emissions. To Therefore, technical improvements were estimated capable of penetrating the automotive market and give the inshore fleet emission rates of opacity of the vehicles, being directly related to the conditions of the lubricating oil thus contributing to reducing maintenance costs by contributing significantly to emissions of pollutants and an improvement in the air in large cities. This criterion was adopted and implemented, em 241 buses and produced a diagnosis of possible failures by the correlation between the characterization of used lubricating oils and the analysis of opacity, with the objective of the aid the detection and solution of failures for the maintenance of sub-systems according to design criteria, and for this to be a deductive methodology to determine potential causes of failures, has been automated to implement a predictive maintenance system for this purpose was used in our study a mobile unit equipped with a opacimeter and a kit for collection and analysis of lubricating oil and the construction of the network diagnostics, we used a computer program in Microsoft Office Access 2007 platform tool is indispensable for creating a database data, this method is being used and successfully implemented in seven (7) bus companies from the city of Natal (RN) Brazil

Saúde mental na estratégia saúde da família: notas cartográficas sobre processos de trabalho em saúde

This study aims to map the working process in the health area starting from the meeting between the family and health teams and mental trouble carriers./MTC. The area of research was the Family Health Unit of Ozeas Sampaio, which is located in the county of Teresina-PI. As regard to the methodology procedure, we used a semi-structured interview timetable, aimed to detail the care practices, admittance and diagnostics that those teams realize with their users. Three teams of eleven workers each were interviewed. There was a doctor, a nurse and two health community agents in each team. The other tools we used were a camp logbook, in which we wrote down some informal dialogs, daily observations and feelings of the unit, and also the accompaniment of the staffs in house calls as well as the weekly meetings in the unit. Those meetings allowed us the construction of two analytic axes: 1) description of the establishment (Family Health Unit) of the organization, (municipal foundation of health and the service network), and the institutions and practice of health. 2) Analysis of the meetings between the worker and the user of Mental Trouble Carriers. In the first axis, we verified the repetition of the working logic focused on jobs in the hospital with the maintenance of the hierarchical relations between worker and the work processes which dissociate management and watchfulness in health care. We identified the lack of physical structure, the lack of self-confidence of the worker in the attention of the mental health care. At the second axis, we assess that the meetings, at the Family Health Unit (FHU) or at the dwelling of the users cause nuisance, discomfort and anxiety to the workers because they deal with issues that go beyond what is named as being the health order such as life stories, family conflicts, unemployment, hunger, sexual and psychological violence. As a matter of fact, they involve difficulties for having new relationships, reception and responsibility for this request

Prevalência de talassemia alfa+ (deleção -3.7) na população adulta do estado do Rio Grande do Norte

Alpha thalassemia, the most common monogenic disorder in the world, is characterized by deletions of one (+-thalassemia) or both alpha genes (0-thalassemia) located on human chromosome 16 (16p13.3). The most common case of +-thalassemia is a deletion of 3.7 kb of DNA (-3.7 deletion). It is most prevalent in African and Middle East regions. In the few studies carried out in Brazilian population -3.7 deletion was the most common deletion, mainly in African descendants. This study was conducted to determine the prevalence of +- thalassemia (deletion 3.7kb) in adult population from Rio Grande do Norte. We obtained blood samples from 713 unrelated individuals of both genders, aged between 18 and 59 years old. All individuals were born in Rio Grande do Norte. The hematological indices were obtained in an automatic cell counter (Micros 60, ABX Diagnostics). The hemoglobin measurement (A2 and Fetal hemoglobin) and the profile confirmation were carried out by high performance liquid chromatography (HPLC) methodology. Genomic DNA was obtained from peripheral blood leukocytes using Illustra Blood GenomicPrep Mini Spin kit and -3.7 deletion was investigated by PCR. Among the 713 individuals studied, 80 (11,2%) presented +- thalassemia: 79 (11,1%) were heterozygous and 1 (0,1%) homozygous for the -3.7 deletion. Considering the ethnic group, negroes showed the greatest prevalence of +-thalassemia (12,5%), followed by mulattoes (12,3%) and caucasian (9,6%). Statistical comparison of hematological parameters between normal individuals and heterozygous to +-thalassemia showed significant differences in RBC (p<0,001), MCV (p<0,001), MCH (p<0,001), Hb A2 (p=0,007) as well as female hemoglobin concentration (p=0,003). This is one of the first studies to research +-thalassemia in general population of Rio Grande do Norte state and these results attest the importance of investigation of this condition to define the etiology of microcytosis and hypochromia.