The Asset Quality Review and Capital Needs: Why re-capitalise banks with public money? CEPS Policy Brief No. 311, 19 December 2013

It is generally assumed that any capital needs discovered by the Asset Quality Review the ECB is scheduled to finish by the end of 2014 should be filled by public funding (= fiscal backstop). This assumption is wrong, however. Banks that do not have enough capital should be asked to obtain it from the market; or be restructured using the procedures and rules recently agreed. The Directorate-General for Competition at the European Commission should be particularly vigilant to ensure that no further state aid flows to an already oversized European banking system. The case for a public backstop was strong when the entire euro area banking system was under stress, but this is no longer the case. Banks with a viable business model can find capital; those without should be closed because any public-sector re-capitalisation would likely mean throwing good money after bad.

A review selection method using product feature taxonomy

As of today, online reviews have become more and more important in decision making process. In recent years, the problem of identifying useful reviews for users has attracted significant attentions. For instance, in order to select reviews that focus on a particular feature, researchers proposed a method which extracts all associated words of this feature as the relevant information to evaluate and find appropriate reviews. However, the extraction of associated words is not that accurate due to the noise in free review text, and this affects the overall performance negatively. In this paper, we propose a method to select reviews according to a given feature by using a review model generated based upon a domain ontology called product feature taxonomy. The proposed review model provides relevant information about the hierarchical relationships of the features in the review which captures the review characteristics accurately. Our experiment results based on real world review dataset show that our approach is able to improve the review selection performance according to the given criteria effectively.

An integrated view of data quality in Earth observation

Data quality is a difficult notion to define precisely, and different communities have different views and understandings of the subject. This causes confusion, a lack of harmonization of data across communities and omission of vital quality information. For some existing data infrastructures, data quality standards cannot address the problem adequately and cannot fulfil all user needs or cover all concepts of data quality. In this study, we discuss some philosophical issues on data quality. We identify actual user needs on data quality, review existing standards and specifications on data quality, and propose an integrated model for data quality in the field of Earth observation (EO). We also propose a practical mechanism for applying the integrated quality information model to a large number of datasets through metadata inheritance. While our data quality management approach is in the domain of EO, we believe that the ideas and methodologies for data quality management can be applied to wider domains and disciplines to facilitate quality-enabled scientific research.

Strategic environmental assessment in tourism planning - Extent of application and quality of documentation

Strategic environmental assessment (SEA) has been applied throughout the world in different sectors and in various ways. This paper reports on results of a PhD research on SEA applied to tourism development planning, reflecting the situation in mid-2010. First, the extent of tourism specific SEA application world-wide is established. Then, based on a review of the quality of 10 selected SEA reports, good practice, as well as challenges, trends and opportunities for tourism specific SEA are identified. Shortcomings of SEA in tourism planning are established and implications for future research are outlined. (C) 2012 Elsevier Inc. All rights reserved.

Data quality in trauma transfusion studies and the impact of missing data on predicting massive transfusion

Maximizing data quality may be especially difficult in trauma-related clinical research. Strategies are needed to improve data quality and assess the impact of data quality on clinical predictive models. This study had two objectives. The first was to compare missing data between two multi-center trauma transfusion studies: a retrospective study (RS) using medical chart data with minimal data quality review and the PRospective Observational Multi-center Major Trauma Transfusion (PROMMTT) study with standardized quality assurance. The second objective was to assess the impact of missing data on clinical prediction algorithms by evaluating blood transfusion prediction models using PROMMTT data. RS (2005-06) and PROMMTT (2009-10) investigated trauma patients receiving ≥ 1 unit of red blood cells (RBC) from ten Level I trauma centers. Missing data were compared for 33 variables collected in both studies using mixed effects logistic regression (including random intercepts for study site). Massive transfusion (MT) patients received ≥ 10 RBC units within 24h of admission. Correct classification percentages for three MT prediction models were evaluated using complete case analysis and multiple imputation based on the multivariate normal distribution. A sensitivity analysis for missing data was conducted to estimate the upper and lower bounds of correct classification using assumptions about missing data under best and worst case scenarios. Most variables (17/33=52%) had <1% missing data in RS and PROMMTT. Of the remaining variables, 50% demonstrated less missingness in PROMMTT, 25% had less missingness in RS, and 25% were similar between studies. Missing percentages for MT prediction variables in PROMMTT ranged from 2.2% (heart rate) to 45% (respiratory rate). For variables missing >1%, study site was associated with missingness (all p≤0.021). Survival time predicted missingness for 50% of RS and 60% of PROMMTT variables. MT models complete case proportions ranged from 41% to 88%. Complete case analysis and multiple imputation demonstrated similar correct classification results. Sensitivity analysis upper-lower bound ranges for the three MT models were 59-63%, 36-46%, and 46-58%. Prospective collection of ten-fold more variables with data quality assurance reduced overall missing data. Study site and patient survival were associated with missingness, suggesting that data were not missing completely at random, and complete case analysis may lead to biased results. Evaluating clinical prediction model accuracy may be misleading in the presence of missing data, especially with many predictor variables. The proposed sensitivity analysis estimating correct classification under upper (best case scenario)/lower (worst case scenario) bounds may be more informative than multiple imputation, which provided results similar to complete case analysis.^

An integrated view of data quality in earth observation

Data quality is a difficult notion to define precisely, and different communities have different views and understandings of the subject. This causes confusion, a lack of harmonization of data across communities and omission of vital quality information. For some existing data infrastructures, data quality standards cannot address the problem adequately and cannot full all user needs or cover all concepts of data quality. In this paper we discuss some philosophical issues on data quality. We identify actual user needs on data quality, review existing standards and specification on data quality, and propose an integrated model for data quality in the eld of Earth observation. We also propose a practical mechanism for applying the integrated quality information model to large number of datasets through metadata inheritance. While our data quality management approach is in the domain of Earth observation, we believe the ideas and methodologies for data quality management can be applied to wider domains and disciplines to facilitate quality-enabled scientific research.

Australian higher education evaluation through assurance of learning

A collaborative research project conducted by five Australian universities inquired into the philosophy and motivation for Assurance of Learning (AoL) as a process of education evaluation. Associate Deans Teaching and Learning representing Business schools from twenty-five universities across Australia participated in telephone interviews. Data was analysed using NVIVO9. Results indicated that articulated rationale for AoL was both ensuring that students had acquired the attributes and skills the universities claimed they had, and the philosophy of continuous improvement. AoL was motivated both by ritualistic objectives to satisfy accreditation requirements and virtuous agendas for quality improvement. Closing-the-loop was emphasised, but was mostly wishful thinking for next steps beyond data collection and reporting. AoL was conceptualised as one element within the larger context of quality review, but there was no evidence of comprehensive frameworks or strategic plans.

From the transformation to the bancarization of the spanishsaving banks: an analysis of the results pursued

This research arises due to the current restructuring process in which is immersed the Spanish banking sector. The above mentioned process is carried out to try to reduce the doubts on the viability of the bank companies to average and long term and to be able to return again the confidence in the sector. Though the economic and financial crisis has concerned the whole banking sector, the subsector of the Spanish savings banks is the one that has experienced a major number of integrations (articulated by means of mergers, absorptions and across Institutional Protection Schemes -IPSs-), and the one that has met submitted to the bancarization process. Considering what has been said, the present paper analyses Spanish saving banks to try to discern whether thanks to that process the objectives pursued by the bank rearrangement have been fulfilled. To do this, the evolution of some important financial variables will be studied over a long period of time (1999-2012). The results suggest that not all the savings banks have seen improved their ratios of efficiency, solvency, financial gap and social work, which indicates that there is still much to be done in order to rectify the problems affecting the studied sector.

Med rena händer i kampen mot VRI : Sjuksköterskors följsamhet till riktlinjer om handhygien: främjande och hindrande faktorer En litteraturöversikt

Bakgrund: Uppkomsten av vårdrelaterade infektioner (VRI) är ett globalt problem. Den vanligaste smittvägen är via personalens händer. Bra handhygien är väsentligt för att minska VRI. Med bättre följsamhet till handhygien kan uppkomsten av VRI minskas, därför har forskning om följsamhet till handhygien och faktorer som inverkar, stort betydelse. Syfte: Syftet var att sammanställa och beskriva aktuell forskning om sjuksköterskors följsamhet till handhygien och vilka faktorer främjar respektive hindrar följsamheten till handhygien. Metod: En litteraturöversikt som baserades på artiklar publicerade de senaste fem åren, från länder som följer Världshälsoorganisationens (WHO) handhygieniska riktlinjer. Sexton artiklar valdes efter kvalitetsgranskning för analys och beskrivning. Artiklarna bearbetades med innehållsanalys. Resultat: Sjuksköterskors följsamhet till handhygien var låg. Följande främjande faktorer identifierades: handhygien efter patientkontakt, materialtillgång, förebilder, utbildning, verbala och visuella påminnelser, positiva individuella attityder, kvinnlig könstillhörighet, yrkesgrupp, specialitet, patientens skydd, arbetskultur och samhällets inställning till handhygien. Följande hindrande faktorer identifierades: hög arbetsbelastning, bristande utbildning, kunskapsbrist, individuella attityder, hudpåverkan, materialtillgång, arbetskultur och samhällets inställning till handhygien, manlig könstillhörighet, yrkesgrupp, specialitet. Slutsats: Enligt resultat rekommenderas: samspelet med kollegor och patienter, stöd av teamarbete ledare, förebilder, materialtillgång, utbildning, påminnelser, intervention med tillgång till information, stöd, resurser och möjligheter för regelbunden kunskapsuppföljning, motivera till handhygien före patientkontakt, involvera patienter.