PanXML - a tool to create XML files for DOI registration of publications in the catalog DataCite of the German National Library of Science and Technology

The software PanXML is a tool to create XML files needed for DOI registration at the German National Library of Science and Technology (TIB). PanXML is distributed as freeware for the operating systems Microsoft Windows, Apple OS X and Linux. An XML file created by PanXML is based on the XSD file article-doi_v3.2.xsd. Further schemas may be added on request.

Mesurer la stigmatisation perçue chez les personnes souffrant de troubles psychiques : traduction française, validation et adaptation de la Stigma Scale [French translation, validation and adaptation of the Stigma Scale].

AIM: People suffering from mental illness are exposed to stigma. However, only few tools are available to assess stigmatization as perceived from the patient's perspective. The aim of this study is to adapt and validate a French version of the Stigma Scale (King et al., 2007 [8]). This self-report questionnaire has a three-factor structure: discrimination, disclosure and positive aspects of mental illness. Discrimination subscale refers to perceived negative reactions of others. Disclosure subscale refers mainly to managing disclosure to avoid discrimination and finally positive aspects subscale taps into how patients are becoming more accepting, more understanding toward their illness. METHOD: In the first step, internal consistency, convergent validity and test-retest reliability of the French adaptation of the 28-item scale were assessed in a sample of 183 patients. Results of confirmatory factor analyses (CFA) did not confirm the hypothesized structure. In the light of the failed attempts to validate the original version, an alternative 9-item short-form version of the Stigma Scale, maintaining the integrity of the original model, was developed based on results of exploratory factor analyses in the first sample and cross-validated in a new sample of 234 patients. RESULTS: Results of CFA did not confirm that the data fitted well to the three-factor model of the 28-item Stigma Scale (χ(2)/df=2.02, GFI=0.77, AGFI=0.73, RMSEA=0.07, CFI=0.77 and NNFI=0.75). Cronbach's α was excellent for discrimination (0.84) and disclosure (0.83) subscales but poor for potential positive aspects (0.46). External validity was satisfactory. Overall Stigma Scale total score was negatively correlated with the score on Rosenberg's Self-Esteem Scale (r=-0.49), and each subscale was significantly correlated with a visual analogue scale that referred to the specific aspect of stigma (0.43≤|r|≤0.60). Intraclass correlation coefficients between 0.68 and 0.89 indicated good test-retest reliability. The results of the CFA demonstrated that the items chosen for the short version of the Stigma Scale have the expected fit properties (χ(2)/df=1.02, GFI=0.98, AGFI=0.98, RMSEA=0.01, CFI=1.0 and NNFI=1.0). Considering the small number (three) of items in each subscale of the short version of the Stigma Scale, α coefficients for discrimination (0.57), disclosure (0.80) and potential positive aspects subscales (0.62) are considered as good. CONCLUSION: Our results suggest that the 9-item French short version of the Stigma Scale is a useful, reliable and valid self-report questionnaire to assess perceived stigmatization in people suffering from mental illness. The time of completion is really short and questions are well understood and accepted by the patients.

Interoperability specifications and an automatic validation tool as a key factor for the support of a repository ecosystem

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Validation tool for smart screening of language disorders in pediatrics care

Primary-care pediatricians could play a key role in early detection of development disorders as quick as they might have enough time and knowledge for suitable screenings at clinical routine. This research paper focuses on the development and validation of a knowledge-based web tool whose aim is to support a smart detection of developmental disorders in early childhood. Thus, the use of the system can trigger the necessary preventive and therapeutic actions from birth until the age of six. The platform was designed on the basis of an analysis of significant 21 cases of children with language disorders that supported the creation of a specific knowledge base, its ontology and a set of description logic relations. The resulting system is being validated in a scalable approach with a team of seven experts from the fields of neonathology, pediatrics, neurology and language therapy.

ASDN : Automated Software Design Notebook tool

Software Engineering is one of the most widely researched areas of Computer Science. The ability to reuse software, much like reuse of hardware components is one of the key issues in software development. The object-oriented programming methodology is revolutionary in that it promotes software reusability. This thesis describes the development of a tool that helps programmers to design and implement software from within the Smalltalk Environment (an Object- Oriented programming environment). The ASDN tool is part of the PEREAM (Programming Environment for the Reuse and Evolution of Abstract Models) system, which advocates incremental development of software. The Asdn tool along with the PEREAM system seeks to enhance the Smalltalk programming environment by providing facilities for structured development of abstractions (concepts). It produces a document that describes the abstractions that are developed using this tool. The features of the ASDN tool are illustrated by an example.

Translation of the leisure satisfaction scale into French: A validity study

Presents a study which described the process of translating an English standardized assessment into another language. Details of the study design; Translation of the Leisure Satisfaction Scale (LSS) into French using the translation/validation methodologies; Correlations between both language versions of LSS.

Impact of Syncope on Quality of Life: Validation of a Measure in Patients Undergoing Tilt Testing

INTRODUCTION AND OBJECTIVES: Recurrent syncope has a significant impact on quality of life. The development of measurement scales to assess this impact that are easy to use in clinical settings is crucial. The objective of the present study is a preliminary validation of the Impact of Syncope on Quality of Life questionnaire for the Portuguese population. METHODS: The instrument underwent a process of translation, validation, analysis of cultural appropriateness and cognitive debriefing. A population of 39 patients with a history of recurrent syncope (>1 year) who underwent tilt testing, aged 52.1 ± 16.4 years (21-83), 43.5% male, most in active employment (n=18) or retired (n=13), constituted a convenience sample. The resulting Portuguese version is similar to the original, with 12 items in a single aggregate score, and underwent statistical validation, with assessment of reliability, validity and stability over time. RESULTS: With regard to reliability, the internal consistency of the scale is 0.9. Assessment of convergent and discriminant validity showed statistically significant results (p<0.01). Regarding stability over time, a test-retest of this instrument at six months after tilt testing with 22 patients of the sample who had not undergone any clinical intervention found no statistically significant changes in quality of life. CONCLUSIONS: The results indicate that this instrument is of value for assessing quality of life in patients with recurrent syncope in Portugal.

Tradução e validação para Portugal do Patient Activation Measure 13 : em pessoas com Diabetes Mellitus tipo 2

RESUMO - Introdução: A Diabetes Mellitus Tipo 2 (DM2) tem uma elevada prevalência em todo o mundo, com impacto significativo a nível de Saúde Pública, na vida dos doentes e nos custos que lhe são associados. O Patiente Activation Measure 13 (PAM13) é um questionário que possibilita a avaliação das crenças, conhecimentos, motivação e capacidades de uma pessoa em relação à sua saúde; pelo que a sua utilização na DM2 é pertinente. Objetivos: Traduzir o PAM 13, versão curta, para Português de Portugal; Estabelecer as propriedades psicométricas da versão Portuguesa do PAM 13 (PAM13-P); Validar a PAM 13-P num grupo de pessoas com DM2. Material e métodos: O processo de tradução e adaptação cultural do questionário foi composto pelas fases: 1-Tradução, 2-Reconciliação e síntese, 3-Back translation, 4-Rever e sintetizar a Back translation, 5-Harmonização, 6-Revisão do comité de peritos, 7-Cognitive debriefing e 8-Avaliação final. Para validar o PAM13-P realizou-se um estudo observacional transversal analítico com uma amostra de conveniência, de pessoas com DM2, seguidas na Associação Protectora dos Diabéticos de Portugal. O questionário foi de autopreenchimento e foi consultado o processo clínico para obtenção da HbA1c. O tratamento estatístico foi realizado através do SPSS 21® e Winsteps v3.8.1®. Resultados e discussão: O processo de tradução e adaptação cultural foi realizado de acordo com as guidelines. Foram realizados 3 painéis de e-Delphi, com 21 participantes de áreas distintas, tendo-se obtido bons níveis de concordância. As principais modificações realizadas ao questionário foram a simplificação da linguagem e dos itens, obtendo-se as equivalências necessárias. O PAM13-P foi aplicado a 201 pessoas, sendo que a taxa de resposta foi de 83%. Na amostra analisada 57.3% eram homens. Obtiveram-se as médias de idade 67.1 anos e de duração de diabetes 17.3 anos. A média do score do PAM foi 58.5±10.1(41.8-90.5) pontos e 49,7% da amostra estava no nível 3 de ativação. Relativamente aos itens verificou-se que os itens mais difíceis foram o 13(56.1) e o 8(55.4) e o com menor dificuldade foi 4(38.5). As categorias de resposta tiveram um bom ajuste ao Modelo de Rasch. O ajustamento dos itens foi infit entre 0.779-1.177 e outfit entre 0.794-1.315. A fiabilidade dos indivíduos variou entre 0.77(real) e 0.83(modelo) e dos itens foi de 0.97 (real e modelo). O Alfa de Cronbach foi bom (α=0.82). Estas estatísticas foram semelhantes aos da validação do PAM13. Existiu uma relação entre o score do PAM e os itens de validação em 51%. Das variáveis analisadas, existia um relação do nível de ativação com a idade e com a HbA1c. Conclusões: O PAM13-P foi traduzido e adaptado culturalmente para Português e foi validado em pessoas com DM2, sendo as propriedades psicométricas boas.

Composition and construction of embedded software families

Feature modeling, embebbed software, software product lines, tool support

Estudio y construcción de herramientas de validación HTML

The Final Year Project consists of two essentially different parts, which share acommon theme: HTML code validation. The first of these two parts focuses on the study of the validation process. It supplies a brief introduction to the evolution of HTML and XHTML, the new tags introduced in HTML5 and the most common errors found in today's websites. Already developed HTML validation tools are analyzed and examined in detail in order to compare their features and evaluate their performances. Lastly, a comparison of the parsing process in the most common browsers found nowadays is provided. In the second part of the project the focus of the project is shifted towards the development of a XHTML5 validation tool. The input is a XHTML5 file whose content may or may not comply with the W3C specification, and therefore, may or may not be a valid XHTML5 document. The output provided by this tool will be a fixed XHTML5 document and an error log returned in the form of a XML file. Information as to the course of action pursued to fix the error and its location will also be included.

Mallinnusinformaation hyödyntäminen ohjelmistokehityksessä

Ohjelmistoprosesseissa kulkee käytännössä sama tieto muuntuen eri vaiheissa käyttökohteensa mukaan. Tätä mallinnusinformaatiota on mahdollista siirtää ja käyttää uudelleen, mikä säästää resursseja ja vähentää riskejä kaikissa projektin vaiheissa. Projektin alussa ohjelmiston toimintoja suunnitellaan ja niitä mallinnetaan esim. UML-malleilla. Tätä mallinnusinformaatiota hallitaan erilaisilla CASE-työkaluilla, joiden avullamalleja on helppo konvertoida toteutusvaihetta varten lähdekoodiksi. Lähdekoodivoidaan tuoda takaisin malliksi jatkosuunnittelua varten, jos työkalu tukee ominaisuutta. Testausvaiheessa lähdekoodi voidaan parsia, jotta siitä saadaan esille olennainen mallinnusinformaatio testejä varten. Lopulta dokumentaatiota voidaan generoida automaattisesti esim. Javadocilla. Mallinnusinformaation hyödyntäminen onnistuu hyvin teoriassa, mutta se ei ole niin suoraviivaista käytännössä. Tämänhetkiset työkalut eivät ole tarpeeksi joustavia mallinnusinformaation palauttamiseksi edellisiin vaiheisiin, joten ne ajavat toteuttamaan projekteja lineaarisesti. Keskikokoisessakin ohjelmistoprojektissa on suuri määrä mallinnusinformaatiota ja se lisää haasteita. Vaikka työkalut ovat kankeita, mallinnusinformaation hyödyntämisen on koettu tehostavan ohjelmistoprosesseja. Siksi sen keinoja tutkitaan ahkerasti.

Implementation of bayesian therapeutic drug monitoring in modern patient care

The variability observed in drug exposure has a direct impact on the overall response to drug. The largest part of variability between dose and drug response resides in the pharmacokinetic phase, i.e. in the dose-concentration relationship. Among possibilities offered to clinicians, Therapeutic Drug Monitoring (TDM; Monitoring of drug concentration measurements) is one of the useful tool to guide pharmacotherapy. TDM aims at optimizing treatments by individualizing dosage regimens based on blood drug concentration measurement. Bayesian calculations, relying on population pharmacokinetic approach, currently represent the gold standard TDM strategy. However, it requires expertise and computational assistance, thus limiting its large implementation in routine patient care. The overall objective of this thesis was to implement robust tools to provide Bayesian TDM to clinician in modern routine patient care. To that endeavour, aims were (i) to elaborate an efficient and ergonomic computer tool for Bayesian TDM: EzeCHieL (ii) to provide algorithms for drug concentration Bayesian forecasting and software validation, relying on population pharmacokinetics (iii) to address some relevant issues encountered in clinical practice with a focus on neonates and drug adherence. First, the current stage of the existing software was reviewed and allows establishing specifications for the development of EzeCHieL. Then, in close collaboration with software engineers a fully integrated software, EzeCHieL, has been elaborated. EzeCHieL provides population-based predictions and Bayesian forecasting and an easy-to-use interface. It enables to assess the expectedness of an observed concentration in a patient compared to the whole population (via percentiles), to assess the suitability of the predicted concentration relative to the targeted concentration and to provide dosing adjustment. It allows thus a priori and a posteriori Bayesian drug dosing individualization. Implementation of Bayesian methods requires drug disposition characterisation and variability quantification trough population approach. Population pharmacokinetic analyses have been performed and Bayesian estimators have been provided for candidate drugs in population of interest: anti-infectious drugs administered to neonates (gentamicin and imipenem). Developed models were implemented in EzeCHieL and also served as validation tool in comparing EzeCHieL concentration predictions against predictions from the reference software (NONMEM®). Models used need to be adequate and reliable. For instance, extrapolation is not possible from adults or children to neonates. Therefore, this work proposes models for neonates based on the developmental pharmacokinetics concept. Patients' adherence is also an important concern for drug models development and for a successful outcome of the pharmacotherapy. A last study attempts to assess impact of routine patient adherence measurement on models definition and TDM interpretation. In conclusion, our results offer solutions to assist clinicians in interpreting blood drug concentrations and to improve the appropriateness of drug dosing in routine clinical practice.

RCAAP Validator v.2

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Evolução, avaliação e validação do software RoboEduc

Considering the transition from industrial society to information society, we realize that the digital training that is addressed is currently insufficient to navigate within a digitized reality. As proposed to minimize this problem, this paper assesses, validates and develops the software RoboEduc to work with educational robotics with the main differential programming of robotic devices in levels, considering the specifics of reality training . One of the emphases of this work isthe presentation of materials and procedures involving the development, analysis and evolution of this software. For validation of usability tests were performed, based on analysis of these tests was developed version 4.0 of RoboEduc

Computational support for the process of software requirement specification

The software industry has become more and more concerned with the appropriate application of activities that composes requirement engineering as a way to improve the quality of its products. In order to support these activities, several computational tools have been available in the market, although it is still possible to find a lack of resources related to some activities. In this context, this paper proposes the inclusion of a module to aid in the requirements specification to a tool called Requirements Elicitation Support Tool. This module allows to specify requirements in accordance with IEEE 830 standard, thus contributing to the documentation of the requirements established for a software system, besides supporting the learning of concepts related to the requirements specification, which improves the skills of users of the tool. © 2012 IEEE.