985 resultados para Kolmogorov-Smirnov
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To evaluate the change in masticatory efficiency and quality of life of patients treated with mandibular Kennedy class I removable partial dentures (RPDs) and maxillary complete dentures at the Department of Dentistry of the Federal University of Rio Grande do Norte. A total of 33 Kennedy class I patients were rehabilitated with maxillary complete dentures, and mandibular RPDs were selected for this non-randomized prospective intervention study. The patients had a mean age of 59.1 years. Masticatory efficiency was evaluated by colorimetric assay using fuchsin capsules. The measurements were conducted at baseline and 2 and 6 months after prosthesis insertion. Quality of life was evaluated using the Oral Health Impact Profile (OHIP-14) at baseline and 6 months after denture insertion. The Kolmogorov-Smirnov normality test was applied. Masticatory efficiency was evaluated by repeated measures ANOVA. Oral health-related quality of life was compared using the paired t test. There was no statistically significant difference in masticatory efficiency after denture insertion (p = 0.101). Significant differences were found (p = 0.010) for oral health-related quality of life. A significant improvement in psychological discomfort (p < 0.01) and psychological disability (p < 0.01) was observed. Mean difference value (95 % confidence interval) was 6.8 (3.8 to 9.7) points, reflecting a low impact of oral health on quality of life, considering the 0-56 range of variation of the OHIP-14 and a Cohen's d of 1.13. According to the results of the present study, rehabilitation with Kennedy class I RPDs and complete dentures did not influence masticatory efficiency but improved oral health-related quality of life. The association between the patient's quality of life and the masticatory efficiency is important for treatment predictability.
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Purpose: In order to assist in the selection of artificial teeth for complete dentures, this study aimed to assess the relationship between horizontal and vertical measurements of the face and the morphology of the maxillary central incisor. Materials and Methods: This was a study of 50 plaster casts and 100 teleradiographs - 50 in lateral norm and 50 in frontal norm, belonging to 50 individuals, Caucasian, with a naturally optimal occlusion, matching at least four of the six keys of Andrews. Images of the upper central incisors were obtained by scanning the plaster casts (three-dimensional) and subjectively classified by three examiners as oval, triangular or quadrangular. Facial measures (vertical and horizontal) were defined by means of teleradiographs. In order to check inter-examiner agreement on the classification of central incisor, the Kappa test was used. To verify whether data had normal distribution, the Kolmogorov-Smirnov test was used ( P > 0.2) was used. One-way analysis of variance was employed to assess the association between variables (P > 0.05). Results: When vertical measurements were compared with the three incisor shapes, there was no statistically significant difference (P > 0.05): Triangular (0.54), oval (0.63) and quadrangular (0.51). Similarly, no difference (P > 0.05) was found for facial width (139.08, 143.37, 141.65), maxillary width (76.68, 78.99, 76.91) and mandibular width (103.47, 105.50, 103.11). Conclusions: The majority of cases showed that horizontal and vertical measurements of the face cannot be used as a reference for determining the morphology of the maxillary central incisor crown. It is relevant to analyze and compare other morphological structures to improve the oral health-related quality of life for the conventional denture wearer.
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Change on vertical jump after competitive period in professionals soccer players. Brazilian Journal of Biomotricity, v. 4, n. 2, p. 140-147, 2010. Soccer is a sport that demands different intensities of run, with decisive actions of a match being held in maximum intensity. Vertical jump test is widely used in soccer players due to the strong relationship with speed and agility. Futhermore, there are little information about change on vertical jump after the competitive season in soccer players. The aim of this study was to analyze change on vertical jump after the competitive season in professional soccer players. Took part in this study 21 male athletes (20.82 ± 3.16 years, 72.28 ± 8.74 kg and 179.91 ± 6.14 cm) subscribers to the 4th division of the Paulista championship of 2009. The competitive season had a duration of 20 weeks, with a total of 20 official matchs done. The test used was the counter-movement vertical jump (VJ), that was performed in the first (PRE) and last (POS) training session of the competitive period. After confirmation of data normality by Kolmogorov-Smirnov, the inferential analysis of the results of VJ between PRE and POS was performed using the paired t-test, considering the significance level of 5%. There was a significant increase (p<0,05) on VJ after the competitive period (PRE=54,19±4,46 and POS=57,94±5,23). According to the results of this study, it is possible to increase the performance of VJ in professional soccer players after the competitive period of 20 weeks duration.
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Pós-graduação em Ciências Ambientais - Sorocaba
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Objectives: To compare the biomechanical fixation and histomorphometric parameters between two implant surfaces: non-washed resorbable blasting media (NWRBM) and alumina-blasted/acid-etched (AB/AE), in a dog model. Material and methods: The surface topography was assessed by scanning electron microscopy, optical interferometry and chemistry by X-ray photoelectron spectroscopy (XPS). Six beagle dogs of similar to 1.5 years of age were utilized and each animal received one implant of each surface per limb (distal radii sites). After a healing period of 3 weeks, the animals were euthanized and half of the implants were biomechanically tested (removal torque) and the other half was referred to nondecalcified histology processing. Histomorphometric analysis considered bone-to-implant contact (BIC) and bone area fraction occupancy (BAFO). Following data normality check with the Kolmogorov-Smirnov test, statistical analysis was performed by paired t-tests at 95% level of significance. Results: Surface roughness parameters Sa (average surface roughness) and Sq (mean root square of the surface) were significantly lower for the NWRBM compared with AB/ AE. The XPS spectra revealed the presence of Ca and P in the NWRBM. While no significant differences were observed for both BIC and BAFO parameters (P>0.35 and P>0.11, respectively), a significantly higher level of torque was observed for the NWRBM group (P = 0.01). Bone morphology was similar between groups, which presented newly formed woven bone in proximity with the implant surfaces. Conclusion: A significant increase in early biomechanical fixation was observed for implants presenting the NWRBM surface.
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The objective of the present work was to propose a method for testing the contribution of each level of the factors in a genotypes x environments (GxE) interaction using multi-environment trials analyses by means of an F test. The study evaluated a data set, with twenty genotypes and thirty-four environments, in a block design with four replications. The sum of squares within rows (genotypes) and columns (environments) of the GxE matrix was simulated, generating 10000 experiments to verify the empirical distribution. Results indicate a noncentral chi-square distribution for rows and columns of the GxE interaction matrix, which was also verified by the Kolmogorov-Smirnov test and Q-Q plot. Application of the F test identified the genotypes and environments that contributed the most to the GxE interaction. In this way, geneticists can select good genotypes in their studies.
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Abstract Background Measurement of vital capacity (VC) by spirometry is the most widely used technique for lung function evaluation, however, this form of assessment is costly and further investigation of other reliable methods at lower cost is necessary. Objective: To analyze the correlation between direct vital capacity measured with ventilometer and with incentive inspirometer in patients in pre and post cardiac surgery. Methodology Cross-sectional comparative study with patients undergoing cardiac surgery. Respiratory parameters were evaluated through the measurement of VC performed by ventilometer and inspirometer. To analyze data normality the Kolmogorov-Smirnov test was applied, for correlation the Pearson correlation coefficient was used and for comparison of variables in pre and post operative period Student's t test was adopted. We established a level of ignificance of 5%. Data was presented as an average, standard deviation and relative frequency when needed. The significance level was set at 5%. Results We studied 52 patients undergoing cardiac surgery, 20 patients in preoperative with VC-ventilometer: 32.95 ± 11.4 ml/kg and VC-inspirometer: 28.9 ± 11 ml/Kg, r = 0.7 p < 0.001. In the post operatory, 32 patients were evaluated with VC-ventilometer: 28.27 ± 12.48 ml/kg and VC-inspirometer: 26.98 ± 11 ml/Kg, r = 0.95 p < 0.001. Presenting a very high correlation between the evaluation forms studied. Conclusion There was a high correlation between DVC measures with ventilometer and incentive spirometer in pre and post CABG surgery. Despite this, arises the necessity of further studies to evaluate the repercussion of this method in lowering costs at hospitals.
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The objective of this study was to evaluate the push-out bond strength of fiberglass resin reinforced bonded with five ionomer cements. Also, the interface between cement and dentin was inspected by means of SEM. Fifty human canines were chose after rigorous scrutiny process, endodontically treated and divided randomly into five groups (n = 3) according to cement tested: Group I – Ionoseal (VOCO), Group II – Fugi I (GC), Group III – Fugi II Improved (GC), Group IV – Rely X Luting 2 (3M ESPE), Group V – Ketac Cem (3M ESPE). The post-space was prepared to receive a fiberglass post, which was tried before cementation process. No dentin or post surface pretreatment was carried out. After post bonding, all roots were cross-sectioned to acquire 3 thin-slices (1 mm) from three specific regions of tooth (cervical, medium and apical). A Universal test machine was used to carry out the push-out test with cross-head speed set to 0.5mm/mim. All failed specimens were observed under optical microscope to identify the failure mode. Representative specimens from each group was inspected under SEM. The data were analyzed by Kolmogorov-Smirnov and Levene’s tests and by two-way ANOVA, and Tukey’s port hoc test at a significance level of 5%. It was compared the images obtained for determination of types of failures more occurred in different levels. SEM inspection displayed that all cements filled the space between post and dentin, however, some imperfections such bubles and voids were noticed in all groups in some degree of extension. The push-out bond strength showed that cement Ketac Cem presented significant higher results when compared to the Ionoseal (P = 0.02). There were no statistical significant differences among other cements.
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This study evaluated the effect of artificially accelerated aging (AAA) on the surface hardness of eight composite resins: Filtek Z250, Filtek Supreme, 4 Seasons, Herculite, P60, Tetric Ceram, Charisma, and Filtek Z100. Sixteen specimens were made from the test piece of each material, using an 8.0 × 2.0 mm teflon matrix. After 24 hours, eight specimens from each material were submitted to three surface hardness readings using a Shimadzu Microhardness Tester for 5 seconds at a load of 50 gf. The other eight specimens remained in the artificially accelerated aging machine for 382 hours and were submitted to the same surface hardness analysis. The means of each test specimen were submitted to the Kolmogorov-Smirnov test (p > 0.05), ANOVA and Tukey test (p < 0.05). With regard to hardness (F = 86.74, p < 0.0001) the analysis showed significant differences among the resin composite brands. But aging did not influence the hardness of any of the resin composites (F = 0.39, p = 0.53). In this study, there was interaction between the resin composite brand and the aging factors (F = 4.51, p < 0.0002). It was concluded that notwithstanding the type of resin, AAA did not influence surface hardness. However, with regard to hardness there was a significant difference among the resin brands.
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L'importanza dell'acciuga europea (Engraulis encrasicolus) come risorsa ittica, sia a livello economico che ecologico, nel Mar Mediterraneo, ha portato alla necessità di monitorare la biomassa deponente di questa specie per cercare di dare un limite al suo sovrasfruttamento (rappresentando il 22% delle catture nazionali). Lo studio effettuato riguarda le stime di fecondità dell'acciuga europea tramite l'applicazione di un metodo di analisi d'immagine, Whole Mount, su campioni di gonadi di adulti maturi e pronti alla deposizione. Il campionamento degli esemplari è avvenuto durante due campagne oceanografiche, organizzate dall'U.O.S di Capo Granitola dell'Istituto per l'Ambiente Marino Costiero del CNR, che hanno coperto l'area dello Stretto di Sicilia e del Mar Tirreno, durante i mesi estivi che rappresentano il picco di deposizione della specie. Nel presente lavoro sono stati analizzati in totale 76 ovari di acciuga, provenienti da entrambe le aree di campionamento e che presentassero ovociti maturi e risultassero, quindi, in una fase di deposizione nota come "deposizione imminente". Per entrambe le aree di studio è stata stimata una relazione lunghezza-peso con andamento esponenziale. I test statistici non parametrici di Kolmogorov-Smirnov e di Mann-Whitney hanno permesso di stimare se vi fossero differenze tra la fecondità, l'indice gonadosomatico (IGS) e il fattore di condizione (CF) nelle due aree, Stretto di Sicilia e piattaforma settentrionale siciliana. I valori di CF sono risultati significativamente differenti tra le due aree se valutati con il test di Kolmogorov-Smirnov, tuttavia tale differenza non è stata confermata dal test di Mann-Whitney. L'IGS e la fecondità, invece, sono risultati significativamente diversi nelle due aree per entrambi i test. Si può ipotizzare che valori di fecondità differenti nelle due aree, nonostante in entrambi i casi il campionamento sia avvenuto durante il picco di riproduzione della specie, possono essere dovuti alla variabilità dei fattori abiotici, quali temperature e nutrienti, differenti nello Stretto di Sicilia e nell'area lungo le coste settentrionali siciliane. Temperatura e nutrienti possono essere differenti, poiché vi è un diverso movimento delle masse d'acqua causato da correnti distinte nelle due aree. Conoscere la variabilità dei parametri riproduttivi di una specie di rilevanza commerciale così alta, come l'acciuga, rappresenta uno strumento fondamentale per scegliere le misure di gestione sostenibile degli stock più appropriate per aree differenti.
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Truncated distributions of the exponential family have great influence in the simulation models. This paper discusses the truncated Weibull distribution specifically. The truncation of the distribution is achieved by the Maximum Likelihood Estimation method or combined with the expectation and variance expressions. After the fitting of distribution, the goodness-of-fit tests (the Chi-Square test and the Kolmogorov-Smirnov test) are executed to rule out the rejected hypotheses. Finally the distributions are integrated in various simulation models, e. g. shipment consolidation model, to compare the influence of truncated and original versions of Weibull distribution on the model.
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A graphing method was developed and tested to estimate gestational ages pre-and postnatally in a consistent manner for epidemiological research and clinical purposes on feti/infants of women with few consistent prenatal estimators of gestational age. Each patient's available data was plotted on a single page graph to give a comprehensive overview of that patient. A hierarchical classification of gestational age determination was then applied in a systematic manner, and reasonable gestational age estimates were produced. The method was tested for validity and reliability on 50 women who had known dates for their last menstrual period or dates of conception, and multiple ultrasound examinations and other gestational age estimating measures. The feasibility of the procedure was then tested on 1223 low income women with few gestational age estimators. The graphing method proved to have high inter- and intrarater reliability. It was quick, easy to use, inexpensive, and did not require special equipment. The graphing method estimate of gestational age for each infant was tested against the last menstrual period gestational age estimate using paired t-Tests, F tests and the Kolmogorov-Smirnov test of similar populations, producing a 98 percent probability or better that the means and data populations were the same. Less than 5 percent of the infants' gestational ages were misclassified using the graphing method, much lower than the amount of misclassification produced by ultrasound or neonatal examination estimates. ^
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En el capítulo dedicado a la calidad de la estación, como primera etapa se realiza una exhaustiva revisión bibliográfica a partir de la cual se comprueba que los métodos más precisos para determinar esta calidad, en términos generales, son aquellos basados en la relación de la altura con la edad. En base a los datos que se encuentran disponibles y como fruto de esta revisión bibliográfica, se decide probar tres métodos: uno de ellos que estudia la evolución de la altura en función del diámetro (MEYER) y los otros dos en función de la edad (BAILEY y CLUTTER y GARCÍA). Para probar estos métodos, se utilizan datos de parcelas de producción distribuidas en los tres principales sistemas montañosos de España: Ibérico, Central y Pirenaico. El modelo de MEYER implica una clasificación previa de las parcelas en función de su clase de sitio y los ajustes se realizan para cada clase, con lo que se obtienen cuatro curvas polimórficas. La ecuación que describe este modelo es: H = 1.3 + s(1-e-bD) El modelo de BAILEY y CLUTTER genera también un sistema de curvas polimórficas y se genera a partir de la relación entre el 1og de la altura y la inversa de la edad: log H = a + b¡(1/AC) Este método implica una agrupación o estratificación de las parcelas en clases de sitio. Por último, se prueba el modelo de GARCÍA que se basa en una ecuación diferencial estocástica: dHc(t) = b(ac-Hc(t)) + a(t)dw(t) y se prueba la siguiente estructura paramétrica: a b c °"0 o *o H0 global 1 oca 1 g1obal 0.00 global 0.00 0.0 Posteriormente se hace un análisis de los residuos en que se aplica la prueba de Durbin-Watson que detecta la presencia de correlación serial. Se verifica la forma aproximada a un "cometa" en los residuos, lo que es frecuente en series de tiempo cuando la magnitud analizada (en nuestro caso, la altura dominante) se acumula en el tiempo. Esta prueba no es concluyente en el sentido de que no aclara que modelo es el más apropiado. Finalmente, se validan estos modelos utilizando datos de las parcelas de clara. Para esto se utiliza información de arboles tipo sometidos a análisis de tronco. Esta validación permite concluir que el modelo de GARCÍA es el que mejor explica la evolución del crecimiento en altura. En el capítulo dedicado a las distribuciones diamétricas, se pretende modelizar dichas distribuciones a través de variables de estado. Para esto, como primera etapa, se prueban para 45 parcelas y tres inventarios, las siguientes funciones: - Normal - Gamma - Ln de dos parámetros - Ln de tres parámetros - Beta I I - Wei bul 1 Mediante el uso de chi-cuadrado como estimador de la bondad del ajuste, se determina que la función de Weibull es la que mejor responde a la distribución diamétrica de nuestras parcelas. Posteriormente, se comprueba la bondad de dicho ajuste, mediante la prueba de Kolmogorov-Smirnov, el que determina que en el 99X de los casos, el ajuste es aceptable. Luego se procede a la recuperación de 1 os*parámetros de la función de Weibull; a, b y c. En esta etapa se estratifica la información y se realizan análisis de varianza (ANOVA) y pruebas de medias de TUKEY que dan como resultado el que se continúe trabajando por tratamiento y por inventario quedando la diferencia entre sitios absorbida por la altura dominante. Para la recuperación de los parámetros, se utilizan las variables de estado que definen a nuestras parcelas; edad, densidad, altura dominante, diámetro medio cuadrático y área basimétrica. El método seguido es la obtención de ecuaciones de regresión con las variables de estado como independientes para predecir los valores de los parámetros antes mencionados. Las ecuaciones se obtienen utilizando distintas vías (STEPWISE, ENTER y RSQUARE) lo que nos proporciona abundante material para efectuar la selección de éstas. La selección de las mejores ecuaciones se hace en base a dos estadísticos conocidos: - Coeficiente de determinación ajustado: R2 a - Cp de MALLOWS Estos elementos se tratan en forma conjunta considerando, además, que el número de parámetros esté en concordancia con el número de datos. El proceso de selección implica que se obtengan 36 ecuaciones de regresión que posteriormente se validan en dos sentidos. Por una parte, se calcula el valor de cada parámetro según la ecuación que le corresponda y se compara con el valor de los parámetros calculados en el ajuste de Weibull. Lo que se puede deducir de esta etapa es que la distorsión que sufren los parámetros al efectuar ecuaciones de regresión, es relativamente baja y la diferencia se produce debido a errores que se originan al realizar los modelos. Por otra parte, con las parcelas que se encuentren disponibles, se valida el modelo en el sentido de hacer el proceso inverso al anterior, es decir a partir de sus variables de estado, fácilmente medibles, se obtienen los valores de los parámetros que definen a la función de Weibull. Con esto se reconstruye la distribución diamétrica de cada función. Los resultados que se obtienen de esto indican que los ajustes son aceptables a un nivel del 1X en el caso de tres parcelas.