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Our aim is to identify their potential common shortcomings and suggest a number of principles which may help formulating more effective policy packages for sustainable urban metabolism.
Following this, a summary is provided to classify common shortcomings and to highlight their significance.
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This stems from several common shortcomings in the design and interpretation of studies investigating the use of screening and monitoring techniques.
Both models have common shortcomings: Because traffic intensity and household density were the most important predictors for both pollutants, the correlations between modeled NO2 and PM2.5 (stochastic model) or between modeled NO2 and TSP concentrations (dispersion model) were almost 1 for both modeling methods.
Common shortcomings are small sample sizes, comparability of intervention and control groups and the handling of drop-outs [ 26, 31].
The Geocap study was designed to avoid selection and differential misclassification biases, which are common shortcomings of case control studies on environmental factors, particularly ELF-MF (Mezei and Kheifets, 2006; Kheifets and Oksuzyan, 2008; Schüz and Ahlbom, 2008).
Some of these were common shortcomings in resources, management, infrastructure, practices, knowledge, and skills.
Common shortcomings were the availability of infection control guidelines and the level of environmental cleaning.
The common shortcomings were the availability of infection control guidelines and the level of environmental cleaning.
Thus, we consider the data to be representative and also free of many common shortcomings in prospective designs.
As reported in the clinical trials, poor inter-rater reliability and rater bias are two common shortcomings associated with clinician-rated scales like the MADRS.
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