Interoperability frameworks and enterprise architectures in e-government initiatives in Europe and the United States

Public administrations have been very much concerned since the 1980s about the need of avoiding vendor lock-in when procuring themselves with information technology (IT) infrastructure. The boost of e-government that has taken place in recent years has put this concern again in the agenda of public administrations. Interoperability has shown up as a principle in the conception and deployment of the e-government initiatives, and the interoperability frameworks have been the tool for implementing the principle. In this paper, the use of the interoperability frameworks and of the enterprise architectures within the e-government initiatives is surveyed. The scope of the survey is Europe and the United States. As far as the author is aware, all trends in interoperability policy fall within the scope of the survey. The survey is focused on the methodological tools that e-government agencies have devised for achieving the interoperability at the public administrations. The tools are interoperability frameworks and enterprise architectures.     

Cinema Demand in Spain: A Cointegration Analysis

In this paper we explain the decline in cinema attendance in Spain since 1968. We use a cointegration analysis to estimate an individual demand function for cinema, with annual data and in terms of average attendance per inhabitant. We find that cinema is a luxury good and that its demand is elastic with respect to its price. We also show that television acts as a deterrent with regard to cinema attendance. This revised version was published online in August 2006 with corrections to the Cover Date.     

Impact of question-answering tasks on search processes and reading comprehension

This study examined the effect of (a) high- and low-level questions and (b) reading the text before the questions asked on performance, delayed text recall, and deep text comprehension, as well as on specific text-inspection patterns. Participants were 37 undergraduate students who answered either high- or low-level questions using the software Read&Answer to read and answer questions on the computer screen. Additionally, half of the sample read first a text and then answered the questions (reading-first condition), whereas the other half answered the questions without having read the text in advance (no-reading-first condition). All participants had the text available to search for the answer. Results indicated that high-level questions facilitated deep comprehension but not immediate performance or delayed recall of text, independently of the reading condition, and that high- and low-level questions differentially affected text-inspection patterns.     

Learning Disabilities in Guatemala and Spain: A Cross‐National Study of the Prevalence and Cognitive Processes Associated with Reading and Spelling Disabilities

The main purposes of this research were twofold. We examined the samenesses about learning disabilities (LD) in Guatemala and Spain, two countries with the same language but cultural, political, and educational differences, first analyzing data about the prevalence of reading and spelling disabilities in Guatemala City and the Spanish region of the Canary Islands. The focus of the second study was to determine whether there are cross‐national patterns of significant differences in cognitive processes associated with reading and spelling disabilities from a developmental approach in these two cultural contexts. We found some differences in the prevalence of specific LD in reading between both countries but we did not find significant differences between Guatemalan and Spanish reading‐disabled children in cognitive processes that are involved in reading and spelling acquisition in spite of the cultural and educational differences between the two countries.     

Advances in urinary protein biomarkers for urogenital and non-urogenital pathologies

The discovery of protein biomarkers that reflect the biological state of the body is of vital importance to disease management. Urine is an ideal source of biomarkers that provides a non-invasive approach to diagnosis, prognosis and prediction of diseases. Consequently, the study of the human urinary proteome has increased dramatically over the last 10 years, with many studies being published. This review focuses on urinary protein biomarkers that have shown potential, in initial studies, for diseases affecting the urogenital tract, specifically chronic kidney disease and prostate cancer, as well as other non-urogenital pathologies such as breast cancer, diabetes, atherosclerosis and osteoarthritis. PubMed was searched for peer-reviewed literature on the subject, published in the last 10 years. The keywords used were “urine, biomarker, protein, and/or prostate cancer/breast cancer/chronic kidney disease/diabetes/atherosclerosis/osteoarthritis”. Original studies on the subject, as well as a small number of reviews, were analysed including the strengths and weaknesses, and we summarized the performance of biomarkers that demonstrated potential. One of the biggest challenges found is that biomarkers are often shared by several pathologies so are not specific to one disease. Therefore, the trend is shifting towards implementing a panel of biomarkers, which may increase specificity. Although there have been many advances in urinary proteomics, these have not resulted in similar advancements in clinical practice due to high costs and the lack of large data sets. In order to translate these potential biomarkers to clinical practice, vigorous validation is needed, with input from industry or large collaborative studies.Key words: urine, protein, biomarker