Multivariable adjustments counteract spectrum and test review bias in accuracy studies

OBJECTIVES: The STAndards for Reporting studies of Diagnostic accuracy (STARD) for investigators and editors and the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) for reviewers and readers offer guidelines for the quality and reporting of test accuracy studies. These guidelines address and propose some solutions to two major threats to validity: spectrum bias and test review bias. STUDY DESIGN AND SETTING: Using a clinical example, we demonstrate that these solutions fail and propose an alternative solution that concomitantly addresses both sources of bias. We also derive formulas that prove the generality of our arguments. RESULTS: A logical extension of our ideas is to extend STARD item 23 by adding a requirement for multivariable statistical adjustment using information collected in QUADAS items 1, 2, and 12 and STARD items 3-5, 11, 15, and 18. CONCLUSION: We recommend reporting not only variation of diagnostic accuracy across subgroups (STARD item 23) but also the effects of the multivariable adjustments on test performance. We also suggest that the QUADAS be supplemented by an item addressing the appropriateness of statistical methods, in particular whether multivariable adjustments have been included in the analysis.

Auswirkung des anisotropen Gefüges strahlgeschmolzener Bauteile auf mechanische Eigenschaftswerte

Die Strahlschmelztechnologie entwickelt sich in vielen Anwendungsbereichen zu einer echten Alternative zu den konventionellen Fertigungsverfahren. Dieser Trend wird gerade durch die Verarbeitung von serienidentischen, einkomponentigen Pulvern zur Herstellung metallischer Bauteile verstärkt, wodurch sich wiederum neue Entwicklungs- und Einsatzpotentiale ergeben. Allerdings weisen die Strahlschmelzbauteile keine vollkommen übereinstimmenden Werkstoffkennwerte im Vergleich zu herkömmlich hergestellten Bauteilen auf, wodurch die Akzeptanz durch Industrie und Forschung eingeschränkt wird. Eine exakte Beschreibung (Nachweis) der Materialeigenschaften von strahlgeschmolzenen Bauteilen wird in dem Maße wichtiger, mit dem diese Verfahren zur Fertigung von Endprodukten herangezogen werden. Weiterhin spielt die Anisotropie des Gefüges strahlgeschmolzener Bauteile eine große Rolle. Aus diesem Grund wurden im RTC Duisburg umfangreiche Festigkeitsuntersuchungen (statisch und dynamisch) in Abhängigkeit von der Baulage, des Oberflächenzustandes und verschiedener Belichtungsstrategien durchgeführt. In diesem Vortrag werden ausgewählte Ergebnisse zu den Untersuchungen vorgestellt.

On the efficiency of a dedicated LMA for multicast traffic distribution in PMIPv6 domains

IP multicast allows the efficient support of group communication services by reducing the number of IP flows needed for such communication. The increasing generalization in the use of multicast has also triggered the need for supporting IP multicast in mobile environments. Proxy Mobile IPv6 (PMIPv6) is a network-based mobility management solution, where the functionality to support the terminal movement resides in the network. Recently, a baseline solution has been adopted for multicast support in PMIPv6. Such base solution has inefficiencies in multicast routing because it may require multiple copies of a single stream to be received by the same access gateway. Nevertheless, there is an alternative solution to support multicast in PMIPv6 that avoids this issue. This paper evaluates by simulation the scalability of both solutions under realistic conditions, and provides an analysis of the sensitivity of the two proposals against a number of parameters.

O'CIAO an object oriented programming model using CIAO Prolog

There have been several previous proposals for the integration of Object Oriented Programming features into Logic Programming, resulting in much support theory and several language proposals. However, none of these proposals seem to have made it into the mainstream. Perhaps one of the reasons for these is that the resulting languages depart too much from the standard logic programming languages to entice the average Prolog programmer. Another reason may be that most of what can be done with object-oriented programming can already be done in Prolog through the meta- and higher-order programming facilities that the language includes, albeit sometimes in a more cumbersome way. In light of this, in this paper we propose an alternative solution which is driven by two main objectives. The first one is to include only those characteristics of object-oriented programming which are cumbersome to implement in standard Prolog systems. The second one is to do this in such a way that there is minimum impact on the syntax and complexity of the language, i.e., to introduce the minimum number of new constructs, declarations, and concepts to be learned. Finally, we would like the implementation to be as straightforward as possible, ideally based on simple source to source expansions.

Neutron spectrometry using artificial neural networks for a bonner sphere spectrometer with 3He detector

Neutron spectra unfolding and dose equivalent calculation are complicated tasks in radiation protection, are highly dependent of the neutron energy, and a precise knowledge on neutron spectrometry is essential for all dosimetry-related studies as well as many nuclear physics experiments. In previous works have been reported neutron spectrometry and dosimetry results, by using the ANN technology as alternative solution, starting from the count rates of a Bonner spheres system with a LiI(Eu) thermal neutrons detector, 7 polyethylene spheres and the UTA4 response matrix with 31 energy bins. In this work, an ANN was designed and optimized by using the RDANN methodology for the Bonner spheres system used at CIEMAT Spain, which is composed of a He neutron detector, 12 moderator spheres and a response matrix for 72 energy bins. For the ANN design process a neutrons spectra catalogue compiled by the IAEA was used. From this compilation, the neutrons spectra were converted from lethargy to energy spectra. Then, the resulting energy ?uence spectra were re-binned by using the MCNP code to the corresponding energy bins of the He response matrix before mentioned. With the response matrix and the re-binned spectra the counts rate of the Bonner spheres system were calculated and the resulting re-binned neutrons spectra and calculated counts rate were used as the ANN training data set.

Optimizing the reliability and resource efficiency of MapReduce-based systems

Debido al gran incremento de datos digitales que ha tenido lugar en los últimos años, ha surgido un nuevo paradigma de computación paralela para el procesamiento eficiente de grandes volúmenes de datos. Muchos de los sistemas basados en este paradigma, también llamados sistemas de computación intensiva de datos, siguen el modelo de programación de Google MapReduce. La principal ventaja de los sistemas MapReduce es que se basan en la idea de enviar la computación donde residen los datos, tratando de proporcionar escalabilidad y eficiencia. En escenarios libres de fallo, estos sistemas generalmente logran buenos resultados. Sin embargo, la mayoría de escenarios donde se utilizan, se caracterizan por la existencia de fallos. Por tanto, estas plataformas suelen incorporar características de tolerancia a fallos y fiabilidad. Por otro lado, es reconocido que las mejoras en confiabilidad vienen asociadas a costes adicionales en recursos. Esto es razonable y los proveedores que ofrecen este tipo de infraestructuras son conscientes de ello. No obstante, no todos los enfoques proporcionan la misma solución de compromiso entre las capacidades de tolerancia a fallo (o de manera general, las capacidades de fiabilidad) y su coste. Esta tesis ha tratado la problemática de la coexistencia entre fiabilidad y eficiencia de los recursos en los sistemas basados en el paradigma MapReduce, a través de metodologías que introducen el mínimo coste, garantizando un nivel adecuado de fiabilidad. Para lograr esto, se ha propuesto: (i) la formalización de una abstracción de detección de fallos; (ii) una solución alternativa a los puntos únicos de fallo de estas plataformas, y, finalmente, (iii) un nuevo sistema de asignación de recursos basado en retroalimentación a nivel de contenedores. Estas contribuciones genéricas han sido evaluadas tomando como referencia la arquitectura Hadoop YARN, que, hoy en día, es la plataforma de referencia en la comunidad de los sistemas de computación intensiva de datos. En la tesis se demuestra cómo todas las contribuciones de la misma superan a Hadoop YARN tanto en fiabilidad como en eficiencia de los recursos utilizados. ABSTRACT Due to the increase of huge data volumes, a new parallel computing paradigm to process big data in an efficient way has arisen. Many of these systems, called dataintensive computing systems, follow the Google MapReduce programming model. The main advantage of these systems is based on the idea of sending the computation where the data resides, trying to provide scalability and efficiency. In failure-free scenarios, these frameworks usually achieve good results. However, these ones are not realistic scenarios. Consequently, these frameworks exhibit some fault tolerance and dependability techniques as built-in features. On the other hand, dependability improvements are known to imply additional resource costs. This is reasonable and providers offering these infrastructures are aware of this. Nevertheless, not all the approaches provide the same tradeoff between fault tolerant capabilities (or more generally, reliability capabilities) and cost. In this thesis, we have addressed the coexistence between reliability and resource efficiency in MapReduce-based systems, looking for methodologies that introduce the minimal cost and guarantee an appropriate level of reliability. In order to achieve this, we have proposed: (i) a formalization of a failure detector abstraction; (ii) an alternative solution to single points of failure of these frameworks, and finally (iii) a novel feedback-based resource allocation system at the container level. Finally, our generic contributions have been instantiated for the Hadoop YARN architecture, which is the state-of-the-art framework in the data-intensive computing systems community nowadays. The thesis demonstrates how all our approaches outperform Hadoop YARN in terms of reliability and resource efficiency.

Reutilização de baterias automotivas como fonte alternativa de energia.

Atualmente um dos principais objetivos na área de pesquisa tecnológica é o desenvolvimento de soluções em favor do Meio Ambiente. Este trabalho tem por objetivo demonstrar a reutilização e consequentemente o aumento da vida útil de uma bateria Chumbo-Ácido, comumente instaladas em veículos automóveis, bem como beneficiar locais e usuários remotos onde o investimento na instalação de linhas de transmissão se torna inviável geográfica e economicamente, utilizando a luz solar como fonte de energia. No entanto a parte mais suscetível a falhas são as próprias baterias, justamente pela vida útil delas serem pequenas (em torno de 3 anos para a bateria automotiva) em comparação com o restante do sistema. Considerando uma unidade que já foi usada anteriormente, a possibilidade de falhas é ainda maior. A fim de diagnosticar e evitar que uma simples bateria possa prejudicar o funcionamento do sistema como um todo, o projeto considera a geração de energia elétrica por células fotovoltaicas e também contempla um sistema microcontrolado para leitura de dados utilizando o microcontrolador ATmega/Arduino, leitura de corrente por sensores de efeito hall da Allegro Systems, relés nas baterias para abertura e fechamento delas no circuito e um sistema de alerta para o usuário final de qual bateria está em falha e que precisa ser reparada e/ou trocada. Esse projeto foi montado na Ilha dos Arvoredos SP, distante da costa continental em aproximadamente 2,0km. Foram instaladas células solares e um banco de baterias, a fim de estudar o comportamento das baterias. O programa pôde diagnosticar e isolar uma das baterias que estava apresentando defeito, a fim de se evitar que a mesma viesse a prejudicar o sistema como um todo. Por conta da dificuldade de locomoção imposta pela geografia, foi escolhido o cartão SD para o armazenamento dos dados obtidos pelo Arduino. Posteriormente os dados foram compilados e analisados. A partir dos resultados apresentados podemos concluir que é possível usar baterias novas e baterias usadas em um mesmo sistema, de tal forma que se alguma das baterias apresentar uma falha o sistema por si só isolará a unidade.

Global assessment of soil phosphorus retention potential

Limited availability of P in soils to crops may be due to deficiency and/or severe P retention. Earlier studies that drew on large soil profile databases have indicated that it is not (yet) feasible to present meaningful values for "plant-available" soil P, obtained according to comparable analytical methods, that may be linked to soil geographical databases derived from 1:5 million scale FAO Digital Soil Map of the World, such as the 5 x 5 arc-minute version of the ISRIC-WISE database. Therefore, an alternative solution for studying possible crop responses to fertilizer-P applied to soils, at a broad scale, was sought. The approach described in this report considers the inherent capacity of soils to retain phosphorus (P retention), in various forms. Main controlling factors of P retention processes, at the broad scale under consideration, are considered to be pH, soil mineralogy, and clay content. First, derived values for these properties were used to rate the inferred capacity for P retention of the component soil units of each map unit (or grid cell) using four classes (i.e., Low, Moderate, High, and Very High). Subsequently, the overall soil phosphorus retention potential was assessed for each mapping unit, taking into account the P-ratings and relative proportion of each component soil unit. Each P retention class has been assigned to a likely fertilizer P recovery fraction, derived from the literature, thereby permitting spatially more detailed, integrated model-based studies of environmental sustainability and agricultural production at the global and continental level (< 1:5 million). Nonetheless, uncertainties remain high; the present analysis provides an approximation of world soil phosphorus retention potential.

Social and financial efficiency of Islamic microfinance institutions:a Data Envelopment Analysis application

Microfinance has been developed as alternative solution for global poverty alleviation effort in the last 30 years. Microfinance institution (MFI) has unique characteristic wherein they face double bottom line objectives of outreach to the poor and financial sustainability. This study proposes a two-stage analysis to measure Islamic Microfinance institutions (IMFIs) performance by comparing them to conventional MFIs. First, we develop a Data Envelopment Analysis (DEA) framework to measure MFIs' efficiency in its double bottom line objectives, i.e. in terms of social and financial efficiency. In the second stage non-parametric tests are used to compare the performance and identify factors that contribute to the efficiency of IMFIs and MFIs.

Epítese gengival removível: alternativa estética e de rápida resolução para repor tecidos periodontais anteriores

The gingiva, part of the masticatory mucosa tissue that covers the alveolar process and surrounds the cervical portion of teeth, has a definitive shape and texture associated with the eruption of teeth. Therefore, it must be included in rehabilitative planning, as the absence of papillae induces problems with esthetics, phonetics and food-impaction. The purpose of the present study was to approach the indications, limitations and techniques for making a removable artificial gingiva made of acrylic resin, by reporting on a clinical case. The patient, a 29-year-old woman, with the sequelae of periodontal disease, presented loss of interdental papilla causing “black holes”. She was dissatisfied with the esthetic appearance of her teeth, and also complained of long teeth and air escaping when she spoke. As treatment, prosthetic reconstruction was proposed, by means of a removable artificial gingiva (gingival epithesis) to simulate the presence of interdental papillae, providing better esthetics and phonetics. Gingival epithesis is an easily made, inserted and hygienically cleaned appliance that provides a simple and safe alternative solution for cases in which surgical techniques are limited.

Epítese gengival removível: alternativa estética e de rápida resolução para repor tecidos periodontais anteriores

The gingiva, part of the masticatory mucosa tissue that covers the alveolar process and surrounds the cervical portion of teeth, has a definitive shape and texture associated with the eruption of teeth. Therefore, it must be included in rehabilitative planning, as the absence of papillae induces problems with esthetics, phonetics and food-impaction. The purpose of the present study was to approach the indications, limitations and techniques for making a removable artificial gingiva made of acrylic resin, by reporting on a clinical case. The patient, a 29-year-old woman, with the sequelae of periodontal disease, presented loss of interdental papilla causing “black holes”. She was dissatisfied with the esthetic appearance of her teeth, and also complained of long teeth and air escaping when she spoke. As treatment, prosthetic reconstruction was proposed, by means of a removable artificial gingiva (gingival epithesis) to simulate the presence of interdental papillae, providing better esthetics and phonetics. Gingival epithesis is an easily made, inserted and hygienically cleaned appliance that provides a simple and safe alternative solution for cases in which surgical techniques are limited.

Le script de l'intervention policière auprès des personnes en état mental perturbé : déroulement et facteurs de l'usage de force par les policiers

Travail dirigé présenté à la Faculté des études supérieures et postdoctorales en vue de l’obtention du grade de maîtrise ès sciences (M.SC) en criminologie, option sécurité intérieure

Viral Delivery of the Fat-1 Gene to Treat Post-Traumatic Arthritis with Diet-Induced Obesity

Post-traumatic arthritis (PTA) is arthritis that develops following joint injury, including meniscus and ligament tears. Current treatments for PTA range from over-the-counter medication to knee replacement; however, in the presence of obesity, the levels of pro-inflammatory cytokines, such as interleukin-1 (IL-1) and tumor necrosis factor alpha (TNF-α,) are more elevated than in non-obese individuals. The role of fatty acids, obesity, and PTA has been examined, with omega-3 fatty acids showing promise as an anti-inflammatory after injury due to its ability to suppress IL-1 and TNF-α. Due to the difficulty in switching patients’ diets, an alternative solution to increasing omega-3 levels needs to be developed. The Fat-1 enzyme, an omega-3 desaturase that has the ability to convert omega-6 to omega-3 fatty acids, may be a good target for increasing the omega-3 levels in the body.

In the first study, we examined whether Fat-1 transgenic mice on a high-fat diet would exhibit lower levels of PTA degeneration following the destabilization of the medial meniscus (DMM). Both male and female Fat-1 and wild-type (WT) littermates were put on either a control diet (10% fat) or an omega-6 rich high-fat diet (60% fat) and underwent DMM surgery. Arthritic changes were examined 12 weeks post-surgery. Fat-1 mice on both the control and high-fat diet showed protection from PTA-related degeneration, while WT mice showed severe arthritic changes. These findings suggest that the omega-6/omega-3 ratio plays an important role in reducing PTA following injury, and demonstrates the potential therapeutic benefit of the Fat-1 enzyme in preventing PTA in both normal and obese patients following acute injury.

Following this, we needed to establish a translatable delivery mechanism for getting the Fat-1 enzyme, which is not present in mammalian cells, into patients. In the second study, we examined whether anti-inflammatory gene delivery of the Fat-1 enzyme would prevent PTA following DMM surgery. In vitro testing of both lentivirus (LV) and adeno-associated virus (AAV) was completed to confirm functionality and conformation of the Fat-1 enzyme after transduction. Male WT mice were placed on an omega-6 rich high-fat diet (60% fat) and underwent DMM surgery; either local or systemic AAV injections of the Fat-1 enzyme or Luciferase, a vector control, were given immediately following surgery. 12 weeks post-surgery, arthritic changes were assessed. The systemic administration of the Fat-1 enzyme showed protection from synovial inflammation and osteophyte formation, while administration of Luciferase did not confer protection. These findings suggest the utility of gene therapy to deliver the Fat-1 enzyme, which has potential as a therapeutic for injured obese patients for the prevention of PTA.

Le script de l'intervention policière auprès des personnes en état mental perturbé : déroulement et facteurs de l'usage de force par les policiers

Travail dirigé présenté à la Faculté des études supérieures et postdoctorales en vue de l’obtention du grade de maîtrise ès sciences (M.SC) en criminologie, option sécurité intérieure

Jigsaw Java: Intelligent, Automated Marking

The popularity of Computing degrees in the UK has been increasing significantly over the past number of years. In Northern Ireland, from 2007 to 2015, there has been a 40% increase in acceptances to Computer Science degrees with England seeing a 60% increase over the same period (UCAS, 2016). However, this is tainted as Computer Science degrees also continue to maintain the highest dropout rates.
In Queen’s University Belfast we currently have a Level 1 intake of over 400 students across a number of computing pathways. Our drive as staff is to empower and motivate the students to fully engage with the course content. All students take a Java programming module the aim of which is to provide an understanding of the basic principles of object-oriented design. In order to assess these skills, we have developed Jigsaw Java as an innovative assessment tool offering intelligent, semi-supervised automated marking of code.
Jigsaw Java allows students to answer programming questions using a drag-and-drop interface to place code fragments into position. Their answer is compared to the sample solution and if it matches, marks are allocated accordingly. However, if a match is not found then the corresponding code is executed using sample data to determine if its logic is acceptable. If it is, the solution is flagged to be checked by staff and if satisfactory is saved as an alternative solution. This means that appropriate marks can be allocated and should another student have submitted the same placement of code fragments this does not need to be executed or checked again. Rather the system now knows how to assess it.
Jigsaw Java is also able to consider partial marks dependent on code placement and will “learn” over time. Given the number of students, Jigsaw Java will improve the consistency and timeliness of marking.