942 resultados para tooth length


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The objective of this study is to improve the stability of pumping source of optical parametric amplifier. Analysis by simulation leads to the conclusion that the stability of the second harmonic can be improved by using properly the intensity of fundamental light and corresponding length of the crystal. By the method of the noncollinear two-pass second harmonic or the tandem second harmonic, the efficient crystal length is extended to a proper value, and the stability of the second harmonic output has been improved two times more than that for the fundamental light, and the conversion-efficiency is about 70% in experiment. When the variation of the fundamental light is about 10%, the variation of the second harmonic intensity has been controlled within 5%. (c) 2006 Elsevier Ltd. All rights reserved.

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We demonstrate passive Q-switching of short-length double-clad Tm3+-doped silica fiber lasers near 2 mu m pumped by a laser diode array (LDA) at 790 nm. Polycrystalline Cr2+:ZnSe microchips with thickness from 0.3 to 1 mm are adopted as the Q-switching elements. Pulse duration of 120 ns, pulse energy over 14 mu] and repetition rate of 53 kHz are obtained from a 5-cm long fiber laser. As high as 530 kHz repetition rate is achieved from a 50-cm long fiber laser at similar to 10-W pump power. The performance of the Q-switched fiber lasers as a function of fiber length is also analyzed. (c) 2008 Elsevier B.V. All rights reserved.

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O objetivo deste estudo foi avaliar pinos pré-fabricados de fibra de vidro (White Post DC/FGM) submetidos à customização por desgaste da porção apical. Experimento 1: 5 pinos n. 4 foram divididos em 5 grupos (G) de acordo com o instrumento de desgaste: GA - sem desgaste, GB- mini torno industrial (Dentsply), GC - ponta diamantada n. 3195F (KG Sorensen), GD - disco de lixa de granulação média (Sof-Lex/3M/ESPE), GE- alicate (Tramontina). Observou-se a micromorfologia dos pinos em microscópio eletrônico de varredura (ZEISS/DSM 960). Experimento 2: 60 pinos de diferentes diâmetros foram divididos em 6 grupos: G0 - pinos n. 0,5, G1 - pinos n. 1, G2 - pinos n. 2, G3 - pinos n. 3, G4 - pinos n.4, G5 - pinos n. 4 com terço apical desgastado com discos de lixa até o equivalente ao terço apical dos pinos n. 2. Os pinos foram submetidos ao teste de flexão de 3 pontos na máquina de ensaios universal (Instron 5500 R), conforme ISO 10477. Experimento 3: 20 caninos humanos permanentes sofreram tratamento endodôntico e remoção das coroas clínicas padronizando 15 mm de remanescente radicular. Os dentes foram incluídos em resina acrílica com simulação do ligamento periodontal, receberam férula de 2 mm e foram divididos em 2 grupos: GI - pinos n. 4 cimentados em condutos preparados com broca equivalente ao pino (FGM), GII - pinos n. 4 customizados no terço apical cimentados em condutos preparados com brocas (FGM) equivalentes aos pinos n. 2 em 10 mm e n. 4 em 5 mm. Os pinos foram cimentados com cimento resinoso (Rely X U100/3M/ESPE), os corpos de prova receberam coroas diretas de resina composta (Enforce Core/Dentsply) padronizadas com coras de policarbonato (TDV) e foram submetidos ao teste de resistência à fratura na Instron a 45da ferramenta cilíndrica, com força de 500 N aplicada a 2 mm da incisal na face palatina/lingual, com velocidade de 0,5 mm/min até falha. O padrão de fratura foi classificado em favorável ou desfavorável. Os resultados foram tratados estatisticamente por teste de análise de variância (ANOVA, p<0,05). Os resultados dos testes de flexão e fratura foram respectivamente: G0 - 58,406,40; G1 - 83,959,43; G2- 103,4219,17; G3 - 160,7817,30; G4 - 170,4711,28; G5 - 106,3521,96; GI - 303,0262,21 e GII - 402,81131,97. O padrão de fratura foi tratado por Mann-Whitney que observou semelhança estatística entre os grupos. Concluiu-se que o desgaste de pinos de fibra de vidro com pontas diamantadas ou discos de lixa produz alterações micromorfológicas aceitáveis. O corte com alicate deve ser evitado. A customização por desgaste da porção apical de pinos de fibra de vidro diminui a resistência à flexão a valores aceitáveis. Dentes restaurados com pinos de fibra de vidro customizados por desgaste possuem resistência à fratura superior a dentes restaurados com pinos intactos. A customização por desgaste facilita a adaptação do pino ao conduto radicular e preserva a estrutura dental.

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English: We describe an age-structured statistical catch-at-length analysis (A-SCALA) based on the MULTIFAN-CL model of Fournier et al. (1998). The analysis is applied independently to both the yellowfin and the bigeye tuna populations of the eastern Pacific Ocean (EPO). We model the populations from 1975 to 1999, based on quarterly time steps. Only a single stock for each species is assumed for each analysis, but multiple fisheries that are spatially separate are modeled to allow for spatial differences in catchability and selectivity. The analysis allows for error in the effort-fishing mortality relationship, temporal trends in catchability, temporal variation in recruitment, relationships between the environment and recruitment and between the environment and catchability, and differences in selectivity and catchability among fisheries. The model is fit to total catch data and proportional catch-at-length data conditioned on effort. The A-SCALA method is a statistical approach, and therefore recognizes that the data collected from the fishery do not perfectly represent the population. Also, there is uncertainty in our knowledge about the dynamics of the system and uncertainty about how the observed data relate to the real population. The use of likelihood functions allow us to model the uncertainty in the data collected from the population, and the inclusion of estimable process error allows us to model the uncertainties in the dynamics of the system. The statistical approach allows for the calculation of confidence intervals and the testing of hypotheses. We use a Bayesian version of the maximum likelihood framework that includes distributional constraints on temporal variation in recruitment, the effort-fishing mortality relationship, and catchability. Curvature penalties for selectivity parameters and penalties on extreme fishing mortality rates are also included in the objective function. The mode of the joint posterior distribution is used as an estimate of the model parameters. Confidence intervals are calculated using the normal approximation method. It should be noted that the estimation method includes constraints and priors and therefore the confidence intervals are different from traditionally calculated confidence intervals. Management reference points are calculated, and forward projections are carried out to provide advice for making management decisions for the yellowfin and bigeye populations. Spanish: Describimos un análisis estadístico de captura a talla estructurado por edad, A-SCALA (del inglés age-structured statistical catch-at-length analysis), basado en el modelo MULTIFAN- CL de Fournier et al. (1998). Se aplica el análisis independientemente a las poblaciones de atunes aleta amarilla y patudo del Océano Pacífico oriental (OPO). Modelamos las poblaciones de 1975 a 1999, en pasos trimestrales. Se supone solamente una sola población para cada especie para cada análisis, pero se modelan pesquerías múltiples espacialmente separadas para tomar en cuenta diferencias espaciales en la capturabilidad y selectividad. El análisis toma en cuenta error en la relación esfuerzo-mortalidad por pesca, tendencias temporales en la capturabilidad, variación temporal en el reclutamiento, relaciones entre el medio ambiente y el reclutamiento y entre el medio ambiente y la capturabilidad, y diferencias en selectividad y capturabilidad entre pesquerías. Se ajusta el modelo a datos de captura total y a datos de captura a talla proporcional condicionados sobre esfuerzo. El método A-SCALA es un enfoque estadístico, y reconoce por lo tanto que los datos obtenidos de la pesca no representan la población perfectamente. Además, hay incertidumbre en nuestros conocimientos de la dinámica del sistema e incertidumbre sobre la relación entre los datos observados y la población real. El uso de funciones de verosimilitud nos permite modelar la incertidumbre en los datos obtenidos de la población, y la inclusión de un error de proceso estimable nos permite modelar las incertidumbres en la dinámica del sistema. El enfoque estadístico permite calcular intervalos de confianza y comprobar hipótesis. Usamos una versión bayesiana del marco de verosimilitud máxima que incluye constreñimientos distribucionales sobre la variación temporal en el reclutamiento, la relación esfuerzo-mortalidad por pesca, y la capturabilidad. Se incluyen también en la función objetivo penalidades por curvatura para los parámetros de selectividad y penalidades por tasas extremas de mortalidad por pesca. Se usa la moda de la distribución posterior conjunta como estimación de los parámetros del modelo. Se calculan los intervalos de confianza usando el método de aproximación normal. Cabe destacar que el método de estimación incluye constreñimientos y distribuciones previas y por lo tanto los intervalos de confianza son diferentes de los intervalos de confianza calculados de forma tradicional. Se calculan puntos de referencia para el ordenamiento, y se realizan proyecciones a futuro para asesorar la toma de decisiones para el ordenamiento de las poblaciones de aleta amarilla y patudo.

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Qens/wins 2014 - 11th International Conference on Quasielastic Neutron Scattering and 6th International Workshop on Inelastic Neutron Spectrometers / editado por:Frick, B; Koza, MM; Boehm, M; Mutka, H

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A contração de polimerização das resinas compostas é uma característica indesejável que compromete a integridade da interface dente/restauração. O objetivo deste estudo foi avaliar in vitro a influência de diferentes materiais usados em restaurações classe II de resina composta, quanto ao grau de conversão, tensão de contração, resistência a flexão, módulo de elasticidade e formação de fenda marginal. Foram realizados preparos classe II com dimensões de 4x4x2mm em terceiros molares recém-extraídos para a avaliação da formação de fenda marginal. As cavidades foram niveladas com cimento de ionômero de vidro Riva Light Cure (SDI) (CIV), resina de baixa contração SureFilSDR (Dentsply) (SDR), resina flow FiltekZ350Flow (3M/ESPE) (Z350F) e resina composta FiltekP90 (3M/ESPE) (P90). As restaurações (n=3) foram avaliadas com lupa estereoscópica. A resistência a flexão foi avaliada por meio de ensaio de flexão em três pontos. Para este ensaio foram confeccionados dez corpos de prova (n=10) de cada material com dimensões de 10x2x1mm. Para o teste de tensão de contração foram utilizados cilindros de polimetacrilato com 5 mm de diâmetro e 13 ou 28mm de comprimento. Os bastões foram fixados na EMIC com um espaço de 2mm entre eles, onde os materiais foram inseridos. Foram realizadas cinco repetições para cada grupo (n=5) e a tensão proveniente da contração foi medida por até 10 minutos após o início da fotopolimerização. O Grau de Conversão (GC) foi determinado por espectroscopia no infravermelho com transformada de Fourier (FTIR). Os resultados foram tratados estatisticamente por análise de variância (ANOVA) e Teste de Tukey (p<0,05). Fenda marginal: Z350F = CIV > SDR = P90. Tensão de contração: Z350F > SDR > CIV = P90. Resistência a flexão: P90 > SDR = Z350F > CIV. Módulo de Elasticidade: P90 > CIV = SDR = Z350F. GC: Z350F = SDR > P90 > CIV. Conclusões: existe correlação entre a formação de fenda marginal e as propriedades físico químicas dos materiais testados, sendo as resinas de baixa contração que proporcionaram melhor adaptação marginal; existe correlação entre resistência a flexão, módulo de elasticidade, tensão de contração e a composição dos materiais, já que os compósitos com melhores resultados foram os que apresentaram os maiores percentuais de carga, no entanto, maior grau de conversão não representou melhores propriedades mecânicas.

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Field experiments were conducted to test the hypotheses that Pacific halibut (Hippoglossus stenolepis) display small-scale spatial structure within longline catches, relative to other species and empty hooks, or within-species based on sex or length. Sequential hook-by-hook inventories, along with length and sex data, were taken at thirty-one survey stations. Two-dimensional spatial statistics were used to test for 1) aggregation, defined as the clustering of individuals within a given demographic of size or sex over small intervals of distance; and 2) segregation, defined as the sequential occurrence of individuals within a given demographic of size or sex, uninterrupted by other observations, irrespective of the distance between individuals. Statistically significant structure was detected within catches that is more commonly associated with fish length than sex. Significant spatial structuring occurred at 60% of all stations tested. Significant aggregation of halibut of legal length for commercial retention (≥82 cm) was detected at 44% of stations and aggregation of sublegal-size halibut was detected at 11%. Maleand female-based aggregations were observed at 22% and 11% of stations, respectively. Significant segregation of females was observed at 20% of stations, male segregation occurred at 8% of stations, and segregation by size at 16% of stations. Understanding small-scale spatial structure within longline catches may help us interpret changes in survey and commercial catch data. If structure is generated by behavior, then observed size-at-age or relative sex-ratios may be biased relative to underlying distributions. Although physical processes such as gape limitation should remain stable over the time, dynamic processes may be spatially and temporally variabl

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The hypothesis that heavy fishing pressure has led to changes in the biological characteristics of the estuary cobbler (Cnidoglanis macrocephalus) was tested in a large seasonally open estuary in southwestern Australia, where this species completes its life cycle and is the most valuable commercial fish species. Comparisons were made between seasonal data collected for this plotosid (eeltail catfish) in Wilson Inlet during 2005–08 and those recorded with the same fishery-independent sampling regime during 1987–89. These comparisons show that the proportions of larger and older individuals and the catch rates in the more recent period were far lower, i.e., they constituted reductions of 40% for fish ≥430 mm total length, 62% for fish ≥4 years of age, and 80% for catch rate. In addition, total mortality and fishing-induced mortality estimates increased by factors of ~2 and 2.5, respectively. The indications that the abundance and proportion of older C. macrocephalus declined between the two periods are consistent with the perception of long-term commercial fishermen and their shift toward using a smaller maximum gill net mesh to target this species. The sustained heavy fishing pressure on C. macrocephalus between 1987–89 and 2005–08 was accompanied by a marked reduction in length and age at maturity of this species. The shift in probabilistic maturation reaction norms toward smaller fish in 2005–08 and the lack of a conspicuous change in growth between the two periods indicate that the maturity changes were related to fishery-induced evolution rather than to compensatory responses to reduced fish densities.

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Fish growth is commonly estimated from length-at-age data obtained from otoliths. There are several techniques for estimating length-at-age from otoliths including 1) direct observed counts of annual increments; 2) age adjustment based on a categorization of otolith margins; 3) age adjustment based on known periods of spawning and annuli formation; 4) back-calculation to all annuli, and 5) back-calculation to the last annulus only. In this study we compared growth estimates (von Bertalanffy growth functions) obtained from the above five methods for estimating length-at-age from otoliths for two large scombrids: narrow-barred Spanish mackerel (Scomberomorus commerson) and broad-barred king mackerel (Scomberomorus semifasciatus). Likelihood ratio tests revealed that the largest differences in growth occurred between the back-calculation methods and the observed and adjusted methods for both species of mackerel. The pattern, however, was more pronounced for S. commerson than for S. semifasciatus, because of the pronounced effect of gear selectivity demonstrated for S. commerson. We propose a method of substituting length-at-age data from observed or adjusted methods with back-calculated length-at-age data to provide more appropriate estimates of population growth than those obtained with the individual methods alone, particularly when faster growing young fish are disproportionately selected for. Substitution of observed or adjusted length-at-age data with back-calculated length-at-age data provided more realistic estimates of length for younger ages than observed or adjusted methods as well as more realistic estimates of mean maximum length than those derived from backcalculation methods alone.

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Arrowtooth flounder (Atheresthes stomias) has had the highest abundance of any groundfish species in the Gulf of Alaska since the 1970s (Matarese et al., 2003; Turnock et al., 2005; Blood et al., 2007); however, commercial catches have been restricted because Pacific halibut (Hippoglossus stenolepis) are caught as bycatch in the fishery. Arrowtooth flounder plays a key role in the ecosystem because it is a dominant organism within the food web, both as an apex predator of fish and invertebrates, as well as an important prey for walleye pollock (Theragra chalcogramma; Aydin et al., 2002). Walleye pollock is the dominant groundfish in the Bering Sea, a principal groundfish in the Gulf of Alaska, and the primary prey for marine mammals. The distribution of arrowtooth flounder extends from Cape Navarin and the eastern Sea of Okhotsk in Russia, across the Bering Sea, Aleutian Islands, Gulf of Alaska, and south to the coast of central California (Shuntov, 1964; Britt and Martin, 2001; Chetvergov, 2001; Weinberg et al., 2002; Zenger, 2004). Because of the importance of arrowtooth flounder in the marine ecosystem of A laska, a maturity study of this species was undertaken to determine age-at-maturity, which is essential for age-based stock management models. Before these results, management has had to rely upon a length-at-maturity-based estimate (Zimmermann, 1997) to manage stocks in the Gulf of Alaska (GOA), Bering Sea, and Aleutian Islands. The central GOA was selected as the location for this maturity study Age- and length-at-maturity of female arrowtooth flounder (Atheresthes stomias) in the Gulf of Alaska because it contains approximately 70% of the total Gulf of Alaska arrowtooth flounder biomass (1.9×106 t, age 3 and older)— the highest percentage in the world (Shuntov, 1964; Britt and Martin, 2001; Weinberg et al., 2002; Wilderbuer and Nichol, 2006).

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Mortality, fecundity, and size at maturity are important life history traits, and their interactions determine the evolution of life history strategies (Roff, 1992; Stearns, 1992; Charnov, 2002). These same traits are also important for population dynamics models (Hunter et al., 1992; Clark, 1999). It is increasingly important to accurately determine Greenland halibut (Reinhardtius hippoglossoides) life history traits and to correctly assess the status of its stocks because low recruitment or low biomass estimates have led to catch restrictions in the Bering Sea and Aleutian Islands (Ianelli et al.1), the Northeastern Arctic (Ådlandsvik et al., 2004), and the Northwest Atlantic (Bowering and Nedreaas, 2000).

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For most fisheries applications, the shape of a length-frequency distribution is much more important than its mean length or variance. This makes it difficult to evaluate at which point a sample size is adequate. By estimating the coefficient of variation of the counts in each length class and taking a weighted mean of these, a measure of precision was obtained that takes the precision in all length classes into account. The precision estimates were closely associated with the ratio of the sample size to the number of size classes in each sample. As a rule-of-thumb, a minimum sample size of 10 times the number of length classes in the sample is suggested because the precision deteriorates rapidly for smaller sample sizes. In absence of such a rule-of-thumb, samplers have previously under-estimated the required sample size for samples with large fish, while over-sampling small fish of the same species.