Crown discoloration promoted by materials used in regenerative endodontic procedures and effect of dental bleaching: spectrophotometric analysis

Regenerative endodontic procedure (REP) has been proposed as a new approach to treat immature permanent teeth. However, materials used in REP for root canal disinfection or cervical sealing may induce tooth discoloration. Objectives To assess tooth crown’s color after intracanal treatment with triple antibiotic paste (TAP) or calcium hydroxide (CH); cervical sealing with glass ionomer cement (GIC) or mineral trioxide aggregate (MTA); and bleaching with carbamide peroxide. Material and Methods After pulp removal and color spectrophotometer measurement, 50 bovine incisors were divided into 4 experimental groups and one control (untreated). Experiments were performed in phases (Ph). Ph1: TAP (ciprofloxacin, metronidazole, minocycline), TAPM (ciprofloxacin, metronidazole, amoxicillin), DAP (ciprofloxacin, metronidazole), or CH treatment groups. After 1 and 3 days (d); 1, 2, 3 weeks (w); and 1, 2, 3 and 4 months (m), color was measured and medications were removed. Ph2: GIC or MTA cervical sealing, each using half of the specimens from each group. Color was assessed after 1d, 3d; 1w, 2w, 3w; 1m and 2m. Ph3: Two bleaching sessions, each followed by color measurement. Data were analyzed with ANOVA and post-hoc Holm-Sidak method. Results Ph1: Specimens of TAP group presented higher color alteration (ΔE) mean than those of TAPM group. No significant difference was found among TAP or TAPM and CH, DAP or Control groups. Ph2: cervical sealing materials showed no influence on color alteration. Ph3: Different ΔE means (from different groups), prior to bleaching, became equivalent after one bleaching session. Conclusions TAP induces higher color alteration than TAPM; color alteration increases over time; cervical sealing material has no influence on color alteration; and, dental bleaching was able to recover, at least partially, the tooth crown’s color

Fatores Associados à Incidência de Óbitos em Acidentes de Trânsito nas Rodovias Federais do Estado de Santa Catarina, Brasil

The present research sought to investigate, through a logistic regression model, how certain factors can contribute to the occurrence of fatal accidents on federal highways in the state of Santa Catarina -Brazil. Thus, public data from the Federal Highway Police on accidents that occurred from 2007 to 2018 were used. The final logistic model allowed to establishment the odds ratio of the main categories among the variables of meteorological condition, phases of the day, causes of the accident, type of accident and route layout. Factors such as frontal collision, run over, dawn, road/environmental cause and sunny conditions were the most representative in this context. Elements associated with the lack of central medians and pedestrian walkways, low visibility while driving and fatigue at the steering wheel were major contributors to the increased severity of collisions. The greatest odds ratios for the road/environmental factors and sunny condition were considered unexpected results, against the premise that the human factor and wet conditions contribute more significantly to the occurrence of deaths. The lack of information about the condition of the road at the time of the accident, the volume of traffic on the highways and the type of vehicle were limiting factors for the study.A presente pesquisa buscou investigar, por meio de um modelo de regressão logístico, como determinados fatores podem contribuir para a ocorrência de acidentes fatais em rodovias federais do estado de Santa Catarina - Brasil. Para tal, foram utilizados dados públicos da Polícia Rodoviária Federal sobre acidentes ocorridos no período de 2007 a 2018. O modelo logístico final permitiu estabelecer a razão de chances das principais categorias dentro das variáveis condição meteorológica, fases do dia, causas do acidente, tipo de acidente e traçado da via. Fatores como colisão frontal, atropelamento, amanhecer, causa viária/ambiental e condições ensolaradas foram os mais representativos nesse contexto. Elementos associados à falta de canteiros centrais e passarelas para pedestres, baixa visibilidade durante a condução e fadiga ao volante foram grandes contribuintes para o aumento da gravidade das colisões. As maiores razões de chances para os fatores viário/ambiental e condição ensolarada foram considerados resultados inesperados, indo de encontro à premissa de que o fator humano e condições de pista molhada contribuem mais significativamente para a ocorrência de óbitos. A falta de informações sobre a condição da pista no momento do acidente, o volume de tráfego das rodovias e o tipo de veículo foram fatores limitantes para o estudo

COMPONENTES AVALIATIVOS PARA A QUALIDADE DA EDUCAÇÃO ESPECIAL: UMA REVISÃO SISTEMÁTICA

Quality indicators in the context of special education are important tools for measuring, analyzing, monitoring and improving the services provided to special education students. According to Unesco, inclusive education is based on the right of everyone to receive quality education that meets their learning needs. Although inclusive education it not synonymous with special education, their meanings are related. Therefore, this study, using the SSF (Systematic Search Flow) method, intends to review the Quality indicators in the context of special education are important tools for measuring, analyzing, monitoring and improving the services provided to special education students. According to Unesco, inclusive education is based on the right of everyone to receive quality education that meets their learning needs. Although inclusive education it not synonymous with special education, their meanings are related. Therefore, this study, using the SSF (Systematic Search Flow) method, intends to review the literature in order to identify the relevant components for the evaluation of the quality of special education from the perspective of inclusive education. As a result, nineteen studies were reviewd. These studies raised relevant aspects and indicators for the evaluation of the quality of special and inclusive education. The indicators were grouped by their common characteristics, resulting in six evaluative components: policy; education and training of professionals, the role of teachers in inclusive education; schools, curriculum and inclusive school culture; educational system; and student. These evaluative components should be considered in the evaluation of special education, so that the service is thought of as a valid and true offer for people with disabilities.Los indicadores de calidad en el contexto de la educación especial son herramientasfundamentales para medir, analizar, monitorear y mejorar el atendimiento ofrecido a los estudiantes deeducación especial. Aunque no sea sinónimo de educación especial, para la UNESCO la educacióninclusiva se basa en el derecho de toda persona poder recibir una educación de calidad que satisfaga susnecesidades de aprendizaje, por lo tanto, sus significados convergen. Por ello, este trabajo, basado en elmétodo SSF (Systematic Search Flow), realizó una revisión sistemática de la literatura para identificar loscomponentes evaluativos relevantes para evaluar la calidad de la educación especial desde la perspectivade la educación inclusiva. Como resultado, se identificaron diecinueve trabajos que señalaron indicadoresy aspectos relevantes para la evaluación de la calidad de la educación especial e inclusiva. Los indicadoresse agruparon por sus características comunes, resultando en seis componentes evaluativos: política,educación y formación profesional; el papel de los docentes en la educación inclusiva; escuelas, currículoy cultura escolar inclusiva; sistema educacional; y estudiante. Estos componentes evaluativos deben serconsiderados en la evaluación de la educación especial, para que el servicio sea pensado como una ofertaválida y verdadera para las personas con discapacidad.Palabras clave: indicadores de calidad, componentes evaluativos, educación especial, educacióninclusiva, revisión sistemática.Os indicadores de qualidade no contexto da educação especial são ferramentas essenciais para avaliar, analisar, acompanhar e aprimorar o atendimento oferecido aos alunos da educação especial. Embora não seja sinônimo de educação especial, para a UNESCO, a educação inclusiva se baseia no direito de todos a receber uma educação de qualidade que atenda às suas necessidades de aprendizagem, portanto, seus significados convergem. Diante disso, este trabalho, com base no método SSF (Systematic Search Flow), realizou uma revisão sistemática da literatura para identificar os componentes destacados como relevantes para avaliar a qualidade da educação especial na perspectiva da educação inclusiva.Como resultado, foram identificados dezenove trabalhos que apontaram indicadores e aspectos relevantes para a avaliação da qualidade da educação especial e inclusiva. Os indicadores foram agrupados pelas suas características comuns, lições em seis componentes seleccionados: política; formação e treinamento profissional; o papel dos professores no ensino inclusivo; escolas, currículo e cultura escolar inclusiva; sistema educacional; e aluno. Esses componentes devem ser considerados na avaliação da educação especial, de que o atendimento seja pensado como uma oferta válida e verdadeira para pessoas com deficiência

Influência da escolha do critério de informação na proporção de não rejeição da hipótese nula do teste ADF considerando a presença de raiz unitária

One of the various techniques used for time series analysis is econometric analysis, where in many cases it is necessary to verify the stationarity of the series. A non-stationary series presents the presence of unit roots, which makes it unsuitable for making forecasts. In this context, the so-called unit root tests have emerged, among which the Augmented Dickey-Fuller (ADF) test stands out. One of the crucial steps in applying the ADF test is the selection of lags. To select the lags to be applied in the test, it is necessary to define a maximum number from which the ideal number to be used in the ADF application will be selected. This ideal number can be determined with the aid of information criteria, such as the traditional AIC, BIC, and HQC. This study evaluated the influence of the choice of information criteria on the test result, considering the presence of unit roots. After the construction of scenarios, application of tests, and analysis of variance, no evidence was found that the choice of information criteria can interfere with the rate of non-rejection of the null hypothesis in the ADF test.Dentre as diversas técnicas utilizadas para a análise de séries temporais está a análise econométrica, onde em muitos casos é necessário verificar a estacionariedade da série. Uma série não estacionária apresenta a presença de raiz unitária, o que faz com que não seja adequada para realizar previsões. Nesse contexto, surgiram os denominados testes de raiz unitária, dentre os quais cabe destacar o teste de Dickey-Fuller Aumentado (ADF). Uma das etapas de grande importância na aplicação do teste ADF é a seleção de defasagens. Para selecionar as defasagens a serem aplicadas no teste, é necessário definir um número máximo, a partir do qual será selecionado o número ideal que será utilizado na aplicação do ADF. Este número ideal pode ser determinado com o auxílio dos critérios de informação, como por exemplo os tradicionais AIC, BIC e HQC. Este trabalho avaliou a influência da escolha do critério de informação no resultado do teste, considerando a presença de raiz unitária. Após a construção dos cenários, aplicação dos testes, e realização de análise de variância, não foram encontrados indícios que a escolha do critério de informação possa interferir na taxa de não rejeição da hipótese nula no teste ADF

APPLICATION OF MULTIVARIATE CONTROL CHARTS FOR MONITORING AN INDUSTRIAL PROCESS

The effective simultaneous monitoring of the many quality characteristics of a production process often depends on statistical tools that are becoming more and more specific. The goal of this paper is to investigate, via an industrial application, if there are significant differences in sensitivity between the use of Multivariate Cumulative Sum (MCUSUM), Multivariate Exponentially Weighted Average (MEWMA) control charts and Hotelling T2 charts in the detection of small changes in the vector of means of the process. In doing this study, we used real data from a machining process. A MCUSUM control chart was applied to monitor the two quality characteristics of this process simultaneously. A MEWMA chart was also applied. The result was compared to the application of the Hotelling T2 chart, which showed that the MCUSUM and MEWMA control charts detected the change sooner. This study was fundamental in defining the best choice between the three charts for the multivariate statistical analysis of this industrial process.The effective simultaneous monitoring of the many quality characteristics of a production process often depends on statistical tools that have become more and more specific. The goal of this paper is to investigate, via an industrial application, whether there are significant differences in sensitivity between the use of Multivariate Cumulative Sum (MCUSUM), Multivariate Exponentially Weighted Average (MEWMA) control charts, and Hotelling T2 charts to detect small changes in the mean vector of a process. Machining process real data were used. A MCUSUM control chart was applied to monitor these two quality characteristics of this process simultaneously. A MEWMA chart was also applied. The result was compared to that of the application of the Hotelling T2 chart, which showed that the MCUSUM and MEWMA control charts detected the change sooner. This study was essential to determine the best option between these three charts for the multivariate statistical analysis of this industrial process

Simulação de Monte Carlo na avaliação de incertezas de medição

Neste artigo explora-se a aplicação da simulação computacional na avaliação de incertezas de medição. Apresenta brevemente o método clássico ou de propagação de incertezas, sua formulação e suas limitações. A seguir, descrevese o método de simulação de Monte Carlo, ou de propagação de distribuições, realizando considerações acerca de alguns aspectos críticos para a qualidade dos resultados da simulação, em particular, sobre o número de eventos de medição simulados e o processo de estimação do intervalo de abrangência. Para maior clareza, são incluídos exemplos artificiais. Conclui-se sobre as limitações da técnica, as dificuldades na sua aplicação e os desafios futuros.This paper addresses the use of computer simulation to estimate the uncertainty of a particular measurement. First, the basic principles and the limitations of the standard GUM method are briefly described. Then, the Monte Carlo simulation technique is presented, paying special attention to those aspects that are critical to the quality of the simulation results, such as the number of Monte Carlo trials and the procedure for determining the coverage interval. Some examples are given in order to clarify the discussion. Finally, some remarks are made about the limitations of the method, the difficulties in implementing it, and the future challenges

Monte Carlo simulation for the evaluation of measurement uncertainty

Submitted by Ilno Conceição ([email protected]) on 2013-03-22T14:52:52Z No. of bitstreams: 1 Simulação de monte carlo na avaliação de incertezas de medição.pdf: 763491 bytes, checksum: 8ea1f367dd8e0b237daf9a6a593bf640 (MD5)Approved for entry into archive by Gabriela Silva da Rosa([email protected]) on 2013-03-25T19:21:59Z (GMT) No. of bitstreams: 1 Simulação de monte carlo na avaliação de incertezas de medição.pdf: 763491 bytes, checksum: 8ea1f367dd8e0b237daf9a6a593bf640 (MD5)Made available in DSpace on 2013-03-25T19:21:59Z (GMT). No. of bitstreams: 1 Simulação de monte carlo na avaliação de incertezas de medição.pdf: 763491 bytes, checksum: 8ea1f367dd8e0b237daf9a6a593bf640 (MD5) Previous issue date: 2005Neste artigo explora-se a aplicação da simulação computacional na avaliação de incertezas de medição. Apresenta brevemente o método clássico ou de propagação de incertezas, sua formulação e suas limitações. A seguir, descrevese o método de simulação de Monte Carlo, ou de propagação de distribuições, realizando considerações acerca de alguns aspectos críticos para a qualidade dos resultados da simulação, em particular, sobre o número de eventos de medição simulados e o processo de estimação do intervalo de abrangência. Para maior clareza, são incluídos exemplos artificiais. Conclui-se sobre as limitações da técnica, as dificuldades na sua aplicação e os desafios futuros.This paper addresses the use of computer simulation to estimate the uncertainty of a particular measurement. First, the basic principles and the limitations of the standard GUM method are briefly described. Then, the Monte Carlo simulation technique is presented, paying special attention to those aspects that are critical to the quality of the simulation results, such as the number of Monte Carlo trials and the procedure for determining the coverage interval. Some examples are given in order to clarify the discussion. Finally, some remarks are made about the limitations of the method, the difficulties in implementing it, and the future challenges

Previsão em mrp usando a transformação de box-cox através do aplicativo glim, com aplicação

The principal objective of this paper is to offer a quantitative methodology for making forecasts to be used as an essential ingredient for MRP. The forecasts are for an individual product and for the very short-term, which is usually one or two weeks before the delivery date. The forecasting equation is estimated through regression analysis, transforming the dependent variable through a Box-Cox transformation and taking into account tendency and several kinds of seasonality, in the week, the month and the year. The resulting equation is shown to be easy to program and place directly within the MRP computational software

Crown discoloration promoted by materials used in regenerative endodontic procedures and effect of dental bleaching: spectrophotometric analysis

Abstract Regenerative endodontic procedure (REP) has been proposed as a new approach to treat immature permanent teeth. However, materials used in REP for root canal disinfection or cervical sealing may induce tooth discoloration. Objectives To assess tooth crown’s color after intracanal treatment with triple antibiotic paste (TAP) or calcium hydroxide (CH); cervical sealing with glass ionomer cement (GIC) or mineral trioxide aggregate (MTA); and bleaching with carbamide peroxide. Material and Methods After pulp removal and color spectrophotometer measurement, 50 bovine incisors were divided into 4 experimental groups and one control (untreated). Experiments were performed in phases (Ph). Ph1: TAP (ciprofloxacin, metronidazole, minocycline), TAPM (ciprofloxacin, metronidazole, amoxicillin), DAP (ciprofloxacin, metronidazole), or CH treatment groups. After 1 and 3 days (d); 1, 2, 3 weeks (w); and 1, 2, 3 and 4 months (m), color was measured and medications were removed. Ph2: GIC or MTA cervical sealing, each using half of the specimens from each group. Color was assessed after 1d, 3d; 1w, 2w, 3w; 1m and 2m. Ph3: Two bleaching sessions, each followed by color measurement. Data were analyzed with ANOVA and post-hoc Holm-Sidak method. Results Ph1: Specimens of TAP group presented higher color alteration (ΔE) mean than those of TAPM group. No significant difference was found among TAP or TAPM and CH, DAP or Control groups. Ph2: cervical sealing materials showed no influence on color alteration. Ph3: Different ΔE means (from different groups), prior to bleaching, became equivalent after one bleaching session. Conclusions TAP induces higher color alteration than TAPM; color alteration increases over time; cervical sealing material has no influence on color alteration; and, dental bleaching was able to recover, at least partially, the tooth crown’s color