972 resultados para marginal discrepancy


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A minimal marginal bone loss around implants during early healing has been considered acceptable. However, the preservation of the marginal bone is related to soft tissue stability and esthetics. Implant designs and surfaces were evaluated to determine their impact on the behavior of the crestal bone. The purpose of this study is to evaluate histologic marginal bone level changes around early loaded, chemically modified, sandblasted acid-etched-surfaced implants with a machined collar (MC) or no MC (NMC).

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This study examined the differential effects of first- (FGAs) versus second-generation antipsychotics (SGAs) on subjective well-being in patients with schizophrenia.

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Three distinct categories of marginal zone lymphomas (MZLs) are currently recognized, principally based on their site of occurrence. They are thought to represent unique entities, but the relationship of one subtype with another is poorly understood. We investigated 17 non-splenic MZLs (seven nodal, 10 extranodal) by gene expression profiling to distinguish between subtypes and determine their cell of origin. Our findings suggest biological inter-relatedness of these entities despite occurrence at different locations and associations with possibly different aetiologies. Furthermore, the expression profiles of non-splenic MZL were similar to memory B cells.

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The widening gap between the numbers of patients on the waiting list for organ transplantation and the insufficient numbers of organ donors results in the use of "critical" donors, so-called marginal donors or extended criteria donors. Data concerning the evaluation of extended criteria donors (ECD) in Switzerland are sparse.

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Air samples were collected from Jan 16 to Mar 14, 2008 onboard the Oceanic II- The Scholar Ship which navigated an east–west transect from Shanghai to Cape Verde, and polybrominated diphenyl ethers (PBDEs) were analyzed in these samples. PBDE concentrations in the atmosphere over the open seas were influenced by proximity to source areas and land, and air mass origins. The concentrations of Σ21PBDEs over the East and South China Seas, the Bay of Bengal and the Andaman Sea, the Indian Ocean, and the Atlantic Ocean were 10.8 ± 6.13, 3.22 ± 1.57, 5.12 ± 3.56, and 2.87 ± 1.81 pg m−3, respectively. BDE-47 and -99 were the dominant congeners in all the samples, suggesting that the widely used commercial penta-BDE products were the original sources. Over some parts of Atlantic and Indian Ocean, daytime concentrations of BDE-47 and BDE-99 were higher than the concentrations at night. The strong atmospheric variability does not always coincide with a diurnal cycle, but the variability in air concentrations in such remote areas of the ocean remains strong. No significant trends were found for each of PBDE congener with latitude.

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No abstract available.

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Investing in transport infrastructures such as roadways, airports and seaports has proven to improve a country's trade performance through reduction of transportation costs and providing access to production and market. This research investigates the diminishing return of infrastructure investment and also the rate of return of two types of infrastructure investment strategies on trade. An augmented gravity model is used with econometric analysis methods in this study. The results have shown that as roadway and airport densities increase, the marginal returns on trade decrease. Empirical evidence from the United States and China with all their trading partners from the past twenty years has also suggested existence of diminishing return of infrastructure investment on roadways and airports. Infrastructure investment strategy that focuses on increasing roadway and airport density experiences smaller diminishing return on trade. In contrast, seaport investment that focuses on port quality and efficiency generates higher return on trade. A trade benefiting infrastructure investment strategy that best utilizes financial resources must balance between quality and quantity based on a country's current level of infrastructure asset.

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This research was focused around the intersection of two discourses: that of marginality and that of ideology. Ponomarev analysed works by Alexander Zinoviev, Vladimir Maximov and Eduard Limonov - three writers representing different groups of Soviet dissidence - from the viewpoint of the concept, drawn from anthropological theory, of marginal man. Using a methodology he describes as ideological analysis, Ponomarev showed that the ideologies of both the writers and their characters are marginal, lying as they do between official Soviet and western democratic ideologies. He showed that the works and the 'creative behaviour' of the three writers did not change after 1991, when their ideas seemed victorious. Marginality is shown to be a permanent characteristic and is linked with the main ideas of the dissident movement in the USSR. On the basis of this marginality, Ponomarev identified some common traits in dissident ideas and drew up a model of dissident ideology. This general model of dissident ideology seems to be one of the special Russian variants of the marginal ideologies of intelligentsia and could be compared to the ideology of Rodon Raskolnikov, the central character in Dostoevsky's Crime and Punishment. The discourse of ideology in the USSR in the 1970s-1980s and in 1990s Russia thus appeared as a process in which the elements of the official Soviet ideology were gradually superseded by those of the dissident ideology linked with the ideology of the underground, the Russian version of the post-modern. Marginal ideologies won and became mainstream but did not lose their basic marginal traits. Ponomarev concludes that the gap between the 'state ideology' and the dissident ideology, taken together with the special Russian version of postmodernity has shaped the current literary process in Russia, making the figure of the marginal man into the main writer type.

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Marginal generalized linear models can be used for clustered and longitudinal data by fitting a model as if the data were independent and using an empirical estimator of parameter standard errors. We extend this approach to data where the number of observations correlated with a given one grows with sample size and show that parameter estimates are consistent and asymptotically Normal with a slower convergence rate than for independent data, and that an information sandwich variance estimator is consistent. We present two problems that motivated this work, the modelling of patterns of HIV genetic variation and the behavior of clustered data estimators when clusters are large.

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Objectives: The aim of this study was to examine the effect of pre-warmed composite on the microhardness and marginal adaptation. Methods: Ninety six identical class II cavities were prepared in extracted human molars and filled/cured in three 2 mm increments using a metal matrix. Two composites (Tetric Evo Ceram (IvoclarVivadent) and ELS(Saremco)) were cured with a LED curing unit (Bluephase (IvoclarVivadent)) using curing cycles of 20 and 40 seconds. The composite was used at room temperature or pre-warmed at 54.5ºC (Calset(AdDent)). Twelve teeth were filled for every composite-curing time-composite temperature combination. The teeth were thermocycled (1000 cycles at 5º and 55ºC) and then stored at 37° C for seven days . Dye penetration (basic fuchsine 5% for 8 hours) was measured using a score scale. Knoop microhardness was determined 100, 200, 500, 1000, 1500, 2500, 3500, 4500 and 5500µm from the occlusal surface at a distance of 150 and 1000µm from the metal matrix. The total degree of polymerization of a composite specimen was determined by calculating the area under the hardness curve. Results: Statistical analyses showed no difference in marginal adaptation (p>0.05). Hardness values at 150µm from the matrix were lower than those at 1000µm. There was an increase of the microhardness at the top of each increment and decrease towards the bottom of each increment. Longer curing times resulted in harder composite samples. Multiple linear regression showed that only the curing time (p<0.001) and composite material (p<0.001) had a significant association with the degree of polymerization. The degree of polymerization was not influenced by pre-warming the composite at a temperature of 54.5ºC (p=4.86). Conclusion: Polymerization time can not be reduced by pre-warming the composite on a temperature of 54.5ºC. The marginal adaptation is not compromised by pre-warming the composite.

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Intensive care unit (ICU) patients are ell known to be highly susceptible for nosocomial (i.e. hospital-acquired) infections due to their poor health and many invasive therapeutic treatments. The effects of acquiring such infections in ICU on mortality are however ill understood. Our goal is to quantify these effects using data from the National Surveillance Study of Nosocomial Infections in Intensive Care Units (Belgium). This is a challenging problem because of the presence of time-dependent confounders (such as exposure to mechanical ventilation)which lie on the causal path from infection to mortality. Standard statistical analyses may be severely misleading in such settings and have shown contradicting results. While inverse probability weighting for marginal structural models can be used to accommodate time-dependent confounders, inference for the effect of ?ICU acquired infections on mortality under such models is further complicated (a) by the fact that marginal structural models infer the effect of acquiring infection on a given, fixed day ?in ICU?, which is not well defined when ICU discharge comes prior to that day; (b) by informative censoring of the survival time due to hospital discharge; and (c) by the instability of the inverse weighting estimation procedure. We accommodate these problems by developing inference under a new class of marginal structural models which describe the hazard of death for patients if, possibly contrary to fact, they stayed in the ICU for at least a given number of days s and acquired infection or not on that day. Using these models we estimate that, if patients stayed in the ICU for at least s days, the effect of acquiring infection on day s would be to multiply the subsequent hazard of death by 2.74 (95 per cent conservative CI 1.48; 5.09).

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In linear mixed models, model selection frequently includes the selection of random effects. Two versions of the Akaike information criterion (AIC) have been used, based either on the marginal or on the conditional distribution. We show that the marginal AIC is no longer an asymptotically unbiased estimator of the Akaike information, and in fact favours smaller models without random effects. For the conditional AIC, we show that ignoring estimation uncertainty in the random effects covariance matrix, as is common practice, induces a bias that leads to the selection of any random effect not predicted to be exactly zero. We derive an analytic representation of a corrected version of the conditional AIC, which avoids the high computational cost and imprecision of available numerical approximations. An implementation in an R package is provided. All theoretical results are illustrated in simulation studies, and their impact in practice is investigated in an analysis of childhood malnutrition in Zambia.