Newborn hearing screening: A retrospective analysis of hit and false positive rates in the NICU and how they are influenced by risk factors for hearing loss in a suburban birthing hospital

The purpose of this study was to evaluate the effectiveness of a hearing screening program, particularly focusing on hit and false positive rates in the NICU and WBN at a top-rated birthing hospital in Saint Louis, MO. Additionally, the study examined how these rates may be influenced by risk factors for hearing loss.

An analysis of the effect of audiologic management on a newborn hearing screening program's refer and loss to follow-up rates

This study includes an exhaustive review of the literature related to universal newborn hearing screening and loss to follow-up. It examines refer and follow-up rates in Missouri and highlights three successful newborn hearing screening programs under the same audiologic management.

El error como causa de inculpabilidad en el ilícito tributario

El artículo 342 del Código Tributario, al hablar de los elementos constitutivos de los ilícitos tributarios, establece que es necesaria la presencia de dolo o culpa rechazando la responsabilidad objetiva, que si acepta para contravenciones o faltas reglamentarias, es decir la culpabilidad como elemento del delito tributario es reconocida, lo cual lleva a que el artículo 338 del Código Tributario, reconozca al error como una circunstancia que excluye la responsabilidad penal tributaria, pero no existe desarrollo sobre el contenido del precepto. Esta falta de explicación obliga a recurrir al desarrollo que se ha dado sobre el tema por otras ramas del derecho, así se analizan las explicaciones realizadas por el Derecho Constitucional y el Derecho Penal, siendo este último donde más desarrollo se ha dado sobre el tema, sin poder olvidar la importancia de los derechos fundamentales de la persona. La presente tesis busca aportar criterios que sean útiles y aplicables en el campo tributario, para lo cual se tratará los siguientes temas: Derecho Penal Administrativo, naturaleza de las infracciones tributarias: Derecho Penal aplicable al campo tributario, la culpabilidad en Tratados Internacionales sobre derechos humanos, principio de culpabilidad y sus elementos, error como eximente de responsabilidad, límites de la presencia del error y elusión tributaria.

El error judicial inexcusable en el Estado constitucional de derechos y justicia

Esta investigación estudia el rol del juez en el Estado constitucional de derechos y justicia en el Ecuador, el error inexcusable y el procesamiento disciplinario por error judicial inexcusable desde sus principios de legalidad y taxatividad, la etiología del error, el órgano competente y la independencia judicial. Presenta conclusiones y recomendaciones.

Can Italy and Spain survive rates of 6-7%? CEPS Policy Brief No. 279, 27 July 2012

The sentiment that the euro is now in real danger is based in large part on the widespread conviction that interest rates of 6-7% are simply unsustainable for both Italy and Spain., After taking a closer look at the fundamentals, however, Daniel Gros concludes in this new Policy Brief that both countries should be able to live with this level of interest rates for quite some time, but only if they mobilize domestic savings, which remain strong in both countries. For Spain, some debt/equity swaps are also needed.

Biased representation of disturbance rates in the roadside sampling frame in boreal forests: implications for monitoring design

The North American Breeding Bird Survey (BBS) is the principal source of data to inform researchers about the status of and trend for boreal forest birds. Unfortunately, little BBS coverage is available in the boreal forest, where increasing concern over the status of species breeding there has increased interest in northward expansion of the BBS. However, high disturbance rates in the boreal forest may complicate roadside monitoring. If the roadside sampling frame does not capture variation in disturbance rates because of either road placement or the use of roads for resource extraction, biased trend estimates might result. In this study, we examined roadside bias in the proportional representation of habitat disturbance via spatial data on forest “loss,” forest fires, and anthropogenic disturbance. In each of 455 BBS routes, the area disturbed within multiple buffers away from the road was calculated and compared against the area disturbed in degree blocks and BBS strata. We found a nonlinear relationship between bias and distance from the road, suggesting forest loss and forest fires were underrepresented below 75 and 100 m, respectively. In contrast, anthropogenic disturbance was overrepresented at distances below 500 m and underrepresented thereafter. After accounting for distance from road, BBS routes were reasonably representative of the degree blocks they were within, with only a few strata showing biased representation. In general, anthropogenic disturbance is overrepresented in southern strata, and forest fires are underrepresented in almost all strata. Similar biases exist when comparing the entire road network and the subset sampled by BBS routes against the amount of disturbance within BBS strata; however, the magnitude of biases differed. Based on our results, we recommend that spatial stratification and rotating panel designs be used to spread limited BBS and off-road sampling effort in an unbiased fashion and that new BBS routes be established where sufficient road coverage exists.

Can wavelets improve the representation of forecast error covariances in variational data assimilation?

Two wavelet-based control variable transform schemes are described and are used to model some important features of forecast error statistics for use in variational data assimilation. The first is a conventional wavelet scheme and the other is an approximation of it. Their ability to capture the position and scale-dependent aspects of covariance structures is tested in a two-dimensional latitude-height context. This is done by comparing the covariance structures implied by the wavelet schemes with those found from the explicit forecast error covariance matrix, and with a non-wavelet- based covariance scheme used currently in an operational assimilation scheme. Qualitatively, the wavelet-based schemes show potential at modeling forecast error statistics well without giving preference to either position or scale-dependent aspects. The degree of spectral representation can be controlled by changing the number of spectral bands in the schemes, and the least number of bands that achieves adequate results is found for the model domain used. Evidence is found of a trade-off between the localization of features in positional and spectral spaces when the number of bands is changed. By examining implied covariance diagnostics, the wavelet-based schemes are found, on the whole, to give results that are closer to diagnostics found from the explicit matrix than from the nonwavelet scheme. Even though the nature of the covariances has the right qualities in spectral space, variances are found to be too low at some wavenumbers and vertical correlation length scales are found to be too long at most scales. The wavelet schemes are found to be good at resolving variations in position and scale-dependent horizontal length scales, although the length scales reproduced are usually too short. The second of the wavelet-based schemes is often found to be better than the first in some important respects, but, unlike the first, it has no exact inverse transform.

Statistical inference of OH concentrations and air mass dilution rates from successive observations of non-methane hydrocarbons in single air masses

Bayesian inference has been used to determine rigorous estimates of hydroxyl radical concentrations () and air mass dilution rates (K) averaged following air masses between linked observations of nonmethane hydrocarbons (NMHCs) spanning the North Atlantic during the Intercontinental Transport and Chemical Transformation (ITCT)-Lagrangian-2K4 experiment. The Bayesian technique obtains a refined (posterior) distribution of a parameter given data related to the parameter through a model and prior beliefs about the parameter distribution. Here, the model describes hydrocarbon loss through OH reaction and mixing with a background concentration at rate K. The Lagrangian experiment provides direct observations of hydrocarbons at two time points, removing assumptions regarding composition or sources upstream of a single observation. The estimates are sharpened by using many hydrocarbons with different reactivities and accounting for their variability and measurement uncertainty. A novel technique is used to construct prior background distributions of many species, described by variation of a single parameter . This exploits the high correlation of species, related by the first principal component of many NMHC samples. The Bayesian method obtains posterior estimates of , K and following each air mass. Median values are typically between 0.5 and 2.0 × 106 molecules cm−3, but are elevated to between 2.5 and 3.5 × 106 molecules cm−3, in low-level pollution. A comparison of estimates from absolute NMHC concentrations and NMHC ratios assuming zero background (the “photochemical clock” method) shows similar distributions but reveals systematic high bias in the estimates from ratios. Estimates of K are ∼0.1 day−1 but show more sensitivity to the prior distribution assumed.