Caracterização de látices acrílicos em função da neutralização de seus grupos carboxilas

Latexes based on acrylic acid, acrylamide, ethyl methacrylate, and ethyl acrylate were synthesized via emulsion polymerization with different monomer compositions. The resultant latices were thickened with different molar ratios of NaOH to acrylic acid and were analyzed in terms of acid‐basis titrimetry, turbidimetry, rheology, and tensiometry. Titrimetry, turbidimetry, and rheometry were used to analyze factors such as carboxyl group availability and particle solubilization, tensiometry monitoring the influence of carboxyl neutralization on polymer‐surfactant interactions. For the acrylic acid content used in this work (20 wt%), the results indicated that as carboxyl groups distribution became more homogeneous, the process of latex thickening became more effective

Bolton freeware: aplicativo de avaliação de discrepância de massa dentária desenvolvido pelo programa de pós-graduação em odontologia/UFRN

The calculation of tooth mass discrepancy, essential for good planning and a proper orthodontic finishing, when performed manually, besides being laborious, requires considerable time consumption. The aim of this study was to develop and test Bolton Freeware, a software for analysis of the tooth mass discrepancy of Bolton, aiming to minimize the consumption of time in a less onerous way. The digital analysis of the software was done by means of two-dimensional scanning of plaster study models and compared to manual evaluation (gold standard), using 75 pairs of stone plaster study models divided into two groups according to the magnitude of the Curve of Spee (group I from 0 to 2 mm, group II greater than 2 to 3mm). All the models had permanent dentition and were in perfect condition. The manual evaluation was performed with a digital caliper and a calculator, and the time required to perform the analysis for both methods was recorded and compared. In addition, the software was evaluated by orthodontists regarding its use, by means of questionnaires developed specifically for this purpose. Calibration was performed prior to manual analysis, and excellent levels of inter-rater agreement were achieved, with ICC > 0.75 and r > 0.9 for total and anterior proportion. It was observed in the evaluation of error of the digital method that some teeth showed a significant systematic error, being the highest measured at 0.08 mm. The analysis of total tooth mass discrepancy performed by Bolton Freeware, for those cases in which the curve of Spee is mild and moderate, differ from manual analysis, on average, 0.09 mm and 0.07 mm respectively, for each tooth evaluated, with r> 0, 8 for total and anterior proportion. According to the specificity and sensitivity test, Bolton Freeware has an improved ability to detect true negatives, i.e. the presence of discrepancy. The Bolton analysis digitally performed was faster, with an average difference of time consumed to perform the analysis of Bolton between the two methods of approximately 6 minutes. Most experts interviewed (93%) approved the usability of the software

Aleitamento materno e alimentação complementar em crianças menores de um ano: chamada neonatal, RN, 2010

Avaliar os dados de aleitamento materno e alimentação complementar de crianças menores de um ano, do Rio Grande do Norte (RN), de acordo com o que é preconizado pelas políticas e ações de alimentação e nutrição. Métodos: Foi analisado o banco de dados da Chamada Neonatal do RN, pesquisa realizada pelo Ministério da Saúde em 2010. A amostra analisada foi de 837 pares mãe/filho que responderam ao questionário da pesquisa nos municípios investigados. Foram analisadas a prevalência de dados de aleitamento materno exclusivo (AME), na primeira hora de vida, parcial (AMP) e total (AMT), assim como dos alimentos ingeridos, pelas crianças, nas ultimas 24 horas anterior a entrevista. As frequências e médias foram feitas pelo comando Complex samples, no SPSS® 20.0, com IC95%. Foram estimadas as medianas de tempo de AME e AMT, assim como a mediana de tempo de introdução dos grupos de alimentos consumidos, em relação a idade da criança pelo método de probitos. Foi feita associação das probabilidades de tempo de AME e AMT com as variáveis sociodemográficas e de pré-natal (p<0.05). Resultados: Foram encontradas médias de idades de 5,28 ± 3,4 meses e 25,9 ± 6,4 anos, para crianças e mães, respectivamente. A prática de aleitamento na primeira hora de vida foi considerada boa (66,6%) e o percentual de AME (20%) razoável,segundo a Organização Mundial da Saúde, 2008. Mais da metade das crianças (55,1%) estavam em AMP. No total 60% estavam sendo amamentadas (AMT) ao final do primeiro ano de vida. O AME teve mediana de 63 dias e AMT de 358 dias. Estes dados não se diferenciaram muito entre a capital e os municípios do interior. A maioria das mães entrevistadas (73,8%) referiu ter tido orientação sobre aleitamento no pré- natal, tendo associação (p=0,03) com a probabilidade de tempo de AME, porém com pouca explicabilidade (R2= 0,011). Água ou chá, alimentos lácteos, frutas, legumes e verduras foram introduzidos precocemente com medianas menores que 180 dias. O aleitamento tende a diminuir e os alimentos tendem a aumentar o consumo de acordo com a idade da criança, com aumento exponencial do grupo calorias vazias . Conclusões: Conclui-se que mesmo com maioria das crianças amamentadas até um ano de vida, poucas estavam em AME e introduziram alimentos precocemente, não tendo resultado satisfatório frente ao preconizado pelas políticas públicas de alimentação e nutrição

Novos métodos determinísticos para gerar centros iniciais dos grupos no algoritmo fuzzy C-Means e variantes

Data clustering is applied to various fields such as data mining, image processing and pattern recognition technique. Clustering algorithms splits a data set into clusters such that elements within the same cluster have a high degree of similarity, while elements belonging to different clusters have a high degree of dissimilarity. The Fuzzy C-Means Algorithm (FCM) is a fuzzy clustering algorithm most used and discussed in the literature. The performance of the FCM is strongly affected by the selection of the initial centers of the clusters. Therefore, the choice of a good set of initial cluster centers is very important for the performance of the algorithm. However, in FCM, the choice of initial centers is made randomly, making it difficult to find a good set. This paper proposes three new methods to obtain initial cluster centers, deterministically, the FCM algorithm, and can also be used in variants of the FCM. In this work these initialization methods were applied in variant ckMeans.With the proposed methods, we intend to obtain a set of initial centers which are close to the real cluster centers. With these new approaches startup if you want to reduce the number of iterations to converge these algorithms and processing time without affecting the quality of the cluster or even improve the quality in some cases. Accordingly, cluster validation indices were used to measure the quality of the clusters obtained by the modified FCM and ckMeans algorithms with the proposed initialization methods when applied to various data sets