The Employment Precariousness Scale (EPRES): psychometric properties of a new tool for epidemiological studies among waged and salaried workers

Background: Despite the fact that labour market flexibility has resulted in an expansion of precarious employment in industrialized countries, to date there is limited empirical evidence about its health consequences. The Employment Precariousness Scale (EPRES) is a newly developed, theory-based, multidimensional questionnaire specifically devised for epidemiological studies among waged and salaried workers. Objective: To assess acceptability, reliability and construct validity of EPRES in a sample of waged and salaried workers in Spain. Methods: Cross-sectional study, using a sub-sample of 6.968 temporary and permanent workers from a population-based survey carried out in 2004-2005. The survey questionnaire was interviewer administered and included the six EPRES subscales, measures of the psychosocial work environment (COPSOQ ISTAS21), and perceived general and mental health (SF-36). Results: A high response rate to all EPRES items indicated good acceptability; Cronbach’s alpha coefficients, over 0.70 for all subscales and the global score, demonstrated good internal consistency reliability; exploratory factor analysis using principal axis analysis and varimax rotation confirmed the six-subscale structure and the theoretical allocation of all items. Patterns across known groups and correlation coefficients with psychosocial work environment measures and perceived health demonstrated the expected relations, providing evidence of construct validity. Conclusions: Our results provide evidence in support of the psychometric properties of EPRES, which appears to be a promising tool for the measurement of employment precariousness in public health research.

Use of a multidimensional assessment tool in a psychiatric adolescent care unit.

AIMS: Adolescent mental health problems require treatment and care that are adapted to their needs. To evaluate this issue, it was decided to implement a multidimensional instrument focused on a global approach to adolescent social and behavioural functioning, combined with the ICD-10 classification. METHODS: The combination of an assessment interview and a classification tool enabled the method to integrate the measurement of several domains of patient-based outcome rather than focus on the measurement of symptoms. A group of 68 adolescents from an inpatient unit were compared with 67 adolescents from the general population. RESULTS: Results suggest that adolescents from the care unit adopt significantly riskier behaviour compared with adolescents from the control group. As expected, the main problems identified refer to the psychological and familial areas. A cluster analysis was performed and provided three different profiles: a group with externalizing disorders and two groups with internalizing disorders. On the basis of a structured interview it was possible to obtain information in a systematic way about the adolescents' trajectory (delinquency, physical and sexual abuse, psychoactive substance use). CONCLUSION: It was shown that treatment and care should not focus exclusively on mental health symptoms, but also upon physical, psychological and social aspects of the adolescent. A global approach helps in the consideration of the multitude of factors which must be taken into account when working with people with serious mental health problems and may help to turn the care unit's activity more specifically towards the needs of these adolescents.

Guiding students through competence-based educational material

Student guidance is an always desired characteristic in any educational system, butit represents special difficulty if it has to be deployed in an automated way to fulfilsuch needs in a computer supported educational tool. In this paper we explorepossible avenues relying on machine learning techniques, to be included in a nearfuture -in the form of a tutoring navigational tool- in a teleeducation platform -InterMediActor- currently under development. Since no data from that platform isavailable yet, the preliminary experiments presented in this paper are builtinterpreting every subject in the Telecommunications Degree at Universidad CarlosIII de Madrid as an aggregated macro-competence (following the methodologicalconsiderations in InterMediActor), such that marks achieved by students can beused as data for the models, to be replaced in a near future by real data directlymeasured inside InterMediActor. We evaluate the predictability of students qualifications, and we deploy a preventive early detection system -failure alert-, toidentify those students more prone to fail a certain subject such that correctivemeans can be deployed with sufficient anticipation.

Personalized modeling for drug concentration prediction using Support Vector Machine

Building a personalized model to describe the drug concentration inside the human body for each patient is highly important to the clinical practice and demanding to the modeling tools. Instead of using traditional explicit methods, in this paper we propose a machine learning approach to describe the relation between the drug concentration and patients' features. Machine learning has been largely applied to analyze data in various domains, but it is still new to personalized medicine, especially dose individualization. We focus mainly on the prediction of the drug concentrations as well as the analysis of different features' influence. Models are built based on Support Vector Machine and the prediction results are compared with the traditional analytical models.

Towards a user-friendly webservice architecture for statistical machine translation in the PANACEA project

This paper presents a webservice architecture for Statistical Machine Translation aimed at non-technical users. A workfloweditor allows a user to combine different webservices using a graphical user interface. In the current state of this project,the webservices have been implemented for a range of sentential and sub-sententialaligners. The advantage of a common interface and a common data format allows the user to build workflows exchanging different aligners.

Interobserver and intraobserver variability of the apparent diffusion coefficient in treated malignant hepatic lesions on a 3.0T machine: measurements in the whole lesion versus in the area with the most restricted diffusion.

PURPOSE: To assess the inter/intraobserver variability of apparent diffusion coefficient (ADC) measurements in treated hepatic lesions and to compare ADC measurements in the whole lesion and in the area with the most restricted diffusion (MRDA). MATERIALS AND METHODS: Twenty-five patients with treated malignant liver lesions were examined on a 3.0T machine. After agreeing on the best ADC image, two readers independently measured the ADC values in the whole lesion and in the MRDA. These measurements were repeated 1 month later. The Bland-Altman method, Spearman correlation coefficients, and the Wilcoxon signed-rank test were used to evaluate the measurements. RESULTS: Interobserver variability for ADC measurements in the whole lesion and in the MRDA was 0.17 x 10(-3) mm(2)/s [-0.17, +0.17] and 0.43 x 10(-3) mm(2)/s [-0.45, +0.41], respectively. Intraobserver limits of agreement could be as low as [-0.10, +0.12] 10(-3) mm(2)/s and [-0.20, +0.33] 10(-3) mm(2)/s for measurements in the whole lesion and in the MRDA, respectively. CONCLUSION: A limited variability in ADC measurements does exist, and it should be considered when interpreting ADC values of hepatic malignancies. This is especially true for the measurements of the minimal ADC.

MRI newsletter 8: Georeferenced biological databases - A tool for understanding mountain biodiversity

The Mountain Research Initiative invited Dr Eva Spehn, Director of the Global Mountain Biodiversity Assessment (GMBA), and Dr Antoine Guisan, head of the Spatial Ecology Group at the University of Lausanne, to introduce the reader to their coordinated efforts to advance understanding and prediction of mountain biodiversity. Antoine Guisan's EUROMONT project is one of the many scientific projects that may potentially provide data for the new GMBA initiative for a GIS mountain biodiversity database.

Vacuum-assisted closure device: a useful tool in the management of severe intrathoracic infections.

Background. This study is an evaluation of the vacuum-assisted closure (VAC) therapy for the treatment of severe intrathoracic infections complicating lung resection, esophageal surgery, viscera perforation, or necrotizing pleuropulmonary infections.Methods. We reviewed the medical records of all patients treated by intrathoracic VAC therapy between January 2005 and December 2008. All patients underwent surgical debridement-decortication and control of the underlying cause of infection such as treatment of bronchus stump insufficiency, resection of necrotic lung, or closure of esophageal or intestinal leaks. Surgery was followed by intrathoracic VAC therapy until the infection was controlled. The VAC dressings were changed under general anesthesia and the chest wall was temporarily closed after each dressing change. All patients received systemic antibiotic therapy.Results. Twenty-seven patients (15 male, median age 64 years) underwent intrathoracic VAC dressings for the management of postresectional empyema (n = 8) with and without bronchopleural fistula, necrotizing infections (n = 7), and intrathoracic gastrointestinal leaks (n = 12). The median length of VAC therapy was 22 days (range 5 to 66) and the median number of VAC changes per patient was 6 (range 2 to 16). In-hospital mortality was 19% (n = 5) and was not related to VAC therapy or intrathoracic infection. Control of intrathoracic infection and closure of the chest cavity was achieved in all surviving patients.Conclusions. Vacuum-assisted closure therapy is an efficient and safe adjunct to treat severe intrathoracic infections and may be a good alternative to the open window thoracostomy in selected patients. Long time intervals in between VAC changes and short course of therapy result in good patient acceptance. (Ann Thorac Surg 2011;91:1582-90) (C) 2011 by The Society of Thoracic Surgeons

Diseño e implementación de 4SPPIces Tool: Una aplicación web para dar apoyo a la creación de actividades educativas colaborativas en entornos mezclados

La introducción de dispositivos tecnológicos como PDAs, móviles o portátiles, en la educación ofrece nuevas oportunidades para el aprendizaje. El uso apropiado de estas herramientas abre la posibilidad a un abanico de escenarios educativos colaborativos que no serían posibles sin la tecnología. Sin embargo, uno de los problemas principales que dificulta la adopción de estos dispositivos en entornos educativos reales es el comprender cómo aplicarlos de forma adecuada y beneficiosa para cubrir los objetivos de aprendizaje esperados. Para ello es necesario establecer vínculos entre educadores y tecnólogos para que este tipo de escenarios se puedan llevar a cabo. Por un lado, los educadores tienen conocimientos sobre prácticas educativas y, por otro lado, los tecnólogos pueden aportar con sus conocimientos acerca de las oportunidades que las tecnologías ofrecen. 4SPPIces es un modelo conceptual que tiene como objetivo establecer este puente entre las dos comunidades. Concretamente, se trata de un modelo que propone 4 factores interrelacionados que deben considerarse en el diseño de experiencias educativas colaborativas que combinen actividades dentro y fuera del aula: (1) el método pedagógico (Pedagiocal Method), (2) los participantes (Participants), (3) el espacio (Space) y (4) el historial (History). El objetivo de este proyecto es desarrollar una aplicación web para que educadores y tecnólogos colaboren en el diseño de escenarios basados en este modelo. Concretamente, este trabajo presenta el proceso de desarrollo de la aplicación así como algunas pruebas con usuarios para analizar la usabilidad y utilidad del sistema.

Genometrics as an essential tool for the assembly of whole genome sequences: the example of the chromosome of Bifidobacterium longum NCC2705.

BACKGROUND: Analysis of the first reported complete genome sequence of Bifidobacterium longum NCC2705, an actinobacterium colonizing the gastrointestinal tract, uncovered its proteomic relatedness to Streptomyces coelicolor and Mycobacterium tuberculosis. However, a rapid scrutiny by genometric methods revealed a genome organization totally different from all so far sequenced high-GC Gram-positive chromosomes. RESULTS: Generally, the cumulative GC- and ORF orientation skew curves of prokaryotic genomes consist of two linear segments of opposite slope: the minimum and the maximum of the curves correspond to the origin and the terminus of chromosome replication, respectively. However, analyses of the B. longum NCC2705 chromosome yielded six, instead of two, linear segments, while its dnaA locus, usually associated with the origin of replication, was not located at the minimum of the curves. Furthermore, the coorientation of gene transcription with replication was very low. Comparison with closely related actinobacteria strongly suggested that the chromosome of B. longum was misassembled, and the identification of two pairs of relatively long homologous DNA sequences offers the possibility for an alternative genome assembly proposed here below. By genometric criteria, this configuration displays all of the characters common to bacteria, in particular to related high-GC Gram-positives. In addition, it is compatible with the partially sequenced genome of DJO10A B. longum strain. Recently, a corrected sequence of B. longum NCC2705, with a configuration similar to the one proposed here below, has been deposited in GenBank, confirming our predictions. CONCLUSION: Genometric analyses, in conjunction with standard bioinformatic tools and knowledge of bacterial chromosome architecture, represent fast and straightforward methods for the evaluation of chromosome assembly.