Efficacy of the Speech Intelligibility Index as an intervention tool with pediatric cancer patients

This study evaluates the Speech Intelligibility Index (SII) as a tool to describe hearing loss and predict when hearing aids would be appropriate for pediatric oncology patients who have received or are currently receiving cisplatin. The efficacy of the SII is compared to the Brock grade which is commonly used for patients with ototoxic hearing loss secondary to cisplatin treatment. The SII is a discrete measure that precisely reflects the patient’s functional hearing status and is highly correlated with the need for audiologic intervention.

The relationship among perceived hearing handicap, pure-tone average, and articulation index for an elderly population

This paper reviews a study to determine the relationship between a self-perceived hearing handicap index, pure-tone average and Articulation Index scores in an elderly population.

The effects of hearing aid gain on speech perception and the articulation index

This paper discusses a study to determine if changes in aided articulation indices predict changes in aided speech perception ability.

Correlation of the articulation index to the MTS test under different listening conditions

This paper reviews a study to determine the relation between the aided articulation index and the aided speech recognition scores obtained with the Monosyllable, Trochee and Spondee (MTS) Test, when administered to hearing-impaired children.

Validating the Mainstream Success Index

This paper seeks to evaluate and validate the efficiency of the Mainstream Success Index.

Development of a simple index to predict benefit and satisfaction from amplification

The purpose of this study was to evaluate the use of non-audiological patient-based variables; amount of bother, importance of improved hearing, and expectations, as reliable predictors of benefit and satisfaction from amplification. Study findings were then used to develop two initial prognostic indices.

Construction of a historical Water Pollution Index for the Mersey Basin

The Mersey Basin has been significantly polluted for over 200 years. However, there is a lack of quantitative historical water quality data as effective water quality monitoring and data recording only began 30-40 years ago. This paper assesses water pollution in the Mersey Basin using a Water Pollution Index constructed from social and economic data. Methodology, output and the difficulties involved with validation are discussed. With the limited data input available the index approximately reproduces historical water quality. The paper illustrates how historical studies of environmental water quality may provide valuable identification of factors responsible for pollution and a marker set for contemporary and future water quality issues in the context of the past. This is an issue of growing research interest.

A reconstructed Siberian High index since A. D. 1599 from Eurasian and North American tree rings

The long-term variability of the Siberian High, the dominant Northern Hemisphere anticyclone during winter, is largely unknown. To investigate how this feature varied prior to the instrumental record, we present a reconstruction of a Dec-Feb Siberian High (SH) index based on Eurasian and North American tree rings. Spanning 1599-1980, it provides information on SH variability over the past four centuries. A decline in the instrumental SH index since the late 1970s, related to Eurasian warming, is the most striking feature over the past four hundred years. It is associated with a highly significant (p < 0.0001) step change in 1989. Significant similar to 3-4 yr spectral peaks in the reconstruction fall within the range of variability of the East Asian winter monsoon (which has also declined recently) and lend further support to proposed relationships between these largescale features of the climate system.

Uncertainties in annual riverine phosphorus load estimation: Impact of load estimation methodology, sampling frequency, baseflow index and catchment population density

Models developed to identify the rates and origins of nutrient export from land to stream require an accurate assessment of the nutrient load present in the water body in order to calibrate model parameters and structure. These data are rarely available at a representative scale and in an appropriate chemical form except in research catchments. Observational errors associated with nutrient load estimates based on these data lead to a high degree of uncertainty in modelling and nutrient budgeting studies. Here, daily paired instantaneous P and flow data for 17 UK research catchments covering a total of 39 water years (WY) have been used to explore the nature and extent of the observational error associated with nutrient flux estimates based on partial fractions and infrequent sampling. The daily records were artificially decimated to create 7 stratified sampling records, 7 weekly records, and 30 monthly records from each WY and catchment. These were used to evaluate the impact of sampling frequency on load estimate uncertainty. The analysis underlines the high uncertainty of load estimates based on monthly data and individual P fractions rather than total P. Catchments with a high baseflow index and/or low population density were found to return a lower RMSE on load estimates when sampled infrequently than those with a tow baseflow index and high population density. Catchment size was not shown to be important, though a limitation of this study is that daily records may fail to capture the full range of P export behaviour in smaller catchments with flashy hydrographs, leading to an underestimate of uncertainty in Load estimates for such catchments. Further analysis of sub-daily records is needed to investigate this fully. Here, recommendations are given on load estimation methodologies for different catchment types sampled at different frequencies, and the ways in which this analysis can be used to identify observational error and uncertainty for model calibration and nutrient budgeting studies. (c) 2006 Elsevier B.V. All rights reserved.