Emotions and Learning in Support Groups of Female Breast Cancer Patients

The understanding of emotions and learning in the participants of breast cancer support groups will assist in better preparation of how to cope with the disease these patients face. It is in working through emotional experiences that participants are able to learn and grow in support groups.

Engineering access control for distributed enterprise applications

Access control (AC) is a necessary defense against a large variety of security attacks on the resources of distributed enterprise applications. However, to be effective, AC in some application domains has to be fine-grain, support the use of application-specific factors in authorization decisions, as well as consistently and reliably enforce organization-wide authorization policies across enterprise applications. Because the existing middleware technologies do not provide a complete solution, application developers resort to embedding AC functionality in application systems. This coupling of AC functionality with application logic causes significant problems including tremendously difficult, costly and error prone development, integration, and overall ownership of application software. The way AC for application systems is engineered needs to be changed. In this dissertation, we propose an architectural approach for engineering AC mechanisms to address the above problems. First, we develop a framework for implementing the role-based access control (RBAC) model using AC mechanisms provided by CORBA Security. For those application domains where the granularity of CORBA controls and the expressiveness of RBAC model suffice, our framework addresses the stated problem. In the second and main part of our approach, we propose an architecture for an authorization service, RAD, to address the problem of controlling access to distributed application resources, when the granularity and support for complex policies by middleware AC mechanisms are inadequate. Applying this architecture, we developed a CORBA-based application authorization service (CAAS). Using CAAS, we studied the main properties of the architecture and showed how they can be substantiated by employing CORBA and Java technologies. Our approach enables a wide-ranging solution for controlling the resources of distributed enterprise applications.

Integrating structured data using property precedence

Data integration systems offer uniform access to a set of autonomous and heterogeneous data sources. One of the main challenges in data integration is reconciling semantic differences among data sources. Approaches that been used to solve this problem can be categorized as schema-based and attribute-based. Schema-based approaches use schema information to identify the semantic similarity in data; furthermore, they focus on reconciling types before reconciling attributes. In contrast, attribute-based approaches use statistical and structural information of attributes to identify the semantic similarity of data in different sources. This research examines an approach to semantic reconciliation based on integrating properties expressed at different levels of abstraction or granularity using the concept of property precedence. Property precedence reconciles the meaning of attributes by identifying similarities between attributes based on what these attributes represent in the real world. In order to use property precedence for semantic integration, we need to identify the precedence of attributes within and across data sources. The goal of this research is to develop and evaluate a method and algorithms that will identify precedence relations among attributes and build property precedence graph (PPG) that can be used to support integration.

L'évaluation des allégations d’agression sexuelle chez les enfants

Rapport de stage présenté à la Faculté des sciences de criminologie en vue de l'obtention du grade de Maître ès sciences (M.Sc.) en sciences en criminologie option cheminement avec stage en intervention

Digital Support induction

PDF of slides of digital support induction

Development of a Collaborative Platform for Art Education: From Pedagogy to Technology

We report on the development of a Java-based application devised to support collaborative learning of Art concepts and ideas over the Internet. Starting from an examination of the pedagogy of both Art education and collaborative learning we propose principles which are useful for the design and construction of a “lightweight” software application which supports interactive Art learning in groups. This application makes “dynamics” of an art work explicit, and supports group interaction with simple messaging and “chat” facilities. This application may be used to facilitate learning and teaching of Art, but also as a research tool to investigate the learning of Art and also the development and dynamics of collaborating groups. Evaluation of a pilot study of the use of our system with a group of 20 school children is presented.

Sobre projetos, palavras e imagens: relacionando textos e desenhos nos trabalhos finais de graduação em arquitetura e urbanismo

This research continues the current debate about the role of the images and the words in the architectural design persuasion, where we emphasize the increasing valuation of written documents (FORTY, 2004; MARKUS; CAMERON, 2002), the seduction for the graphical representation (DURAND, 2003) and the rhetorical effects of the graphical and textual resources (TOSTRUP, 1999). Based on these quarrels, we look for verify in the graduate final projects the relation between the design texts and images. From the PROJEDATA, database of the PROJETAR research group (UFRN), we selected the final projects of two brazilians universities, UFRN and USP, that in a first analysis, they had shown as ideal types of two distinct design presentation models, respectively: texts and drawings in separated documents, or combined in an only support. Based on Markus explanation about the function and the content of the texts, on the Durand perspective with regard to graphical representation uses and on Tostrup point of view concerning the rhetorical potential of texts and drawings, we analyze, in a set of 25 projects, how the students relate the textual and imagetical speeches. For this, we related the focus of each speech, in order to verify the possible coherence between both. We conclude that in the model of USP final project the coherence between the texts and the drawings is clearer than in the model adopted in UFRN

Zum Kenntnisstand von Jugendlichen über gesundheitliche Beratungsangebote. Eine Bestandsaufnahme und ein Interventionsansatz

Obwohl eine Vielzahl von Institutionen zur Verfügung steht, an die Kinder und Jugendliche sich bei Schwierigkeiten und Problemen wenden können, bestehen häufig Informationsdefizite und Schwellenängste, die dazu beitragen, daß viele Betroffene keine hinreichende Unterstützung erhalten. In der vorliegenden Studie, an der 1225 Kinder und Jugendliche im Alter von 10 bis 18 Jahren teilnahmen, erfolgt eine Bestandsaufnahme der gegenwärtig bestehenden Defizite und Hemmnisse, indem der Kenntnisstand zu institutionellen Unterstützungsmöglichkeiten und die möglichen Gründe, Unterstützungsangebote anzunehmen bzw. nicht anzunehmen, erfragt wurden. Auf der Basis der Ergebnisse der Bestandsaufnahme wird ein Interventionskonzept entwickelt, das dem Abbau von Informationsdefiziten und Schwellenängsten dient und damit die Akzeptanz bestehender Beratungsangebote erhöhen soll. (DIPF/Orig.)

Online MBPeT dashboard : enabling performance testing as a service in the cloud

In this thesis, tool support is addressed for the combined disciplines of Model-based testing and performance testing. Model-based testing (MBT) utilizes abstract behavioral models to automate test generation, thus decreasing time and cost of test creation. MBT is a functional testing technique, thereby focusing on output, behavior, and functionality. Performance testing, however, is non-functional and is concerned with responsiveness and stability under various load conditions. MBPeT (Model-Based Performance evaluation Tool) is one such tool which utilizes probabilistic models, representing dynamic real-world user behavior patterns, to generate synthetic workload against a System Under Test and in turn carry out performance analysis based on key performance indicators (KPI). Developed at Åbo Akademi University, the MBPeT tool is currently comprised of a downloadable command-line based tool as well as a graphical user interface. The goal of this thesis project is two-fold: 1) to extend the existing MBPeT tool by deploying it as a web-based application, thereby removing the requirement of local installation, and 2) to design a user interface for this web application which will add new user interaction paradigms to the existing feature set of the tool. All phases of the MBPeT process will be realized via this single web deployment location including probabilistic model creation, test configurations, test session execution against a SUT with real-time monitoring of user configurable metric, and final test report generation and display. This web application (MBPeT Dashboard) is implemented with the Java programming language on top of the Vaadin framework for rich internet application development. The Vaadin framework handles the complicated web communications processes and front-end technologies, freeing developers to implement the business logic as well as the user interface in pure Java. A number of experiments are run in a case study environment to validate the functionality of the newly developed Dashboard application as well as the scalability of the solution implemented in handling multiple concurrent users. The results support a successful solution with regards to the functional and performance criteria defined, while improvements and optimizations are suggested to increase both of these factors.

Sobre projetos, palavras e imagens: relacionando textos e desenhos nos trabalhos finais de graduação em arquitetura e urbanismo

This research continues the current debate about the role of the images and the words in the architectural design persuasion, where we emphasize the increasing valuation of written documents (FORTY, 2004; MARKUS; CAMERON, 2002), the seduction for the graphical representation (DURAND, 2003) and the rhetorical effects of the graphical and textual resources (TOSTRUP, 1999). Based on these quarrels, we look for verify in the graduate final projects the relation between the design texts and images. From the PROJEDATA, database of the PROJETAR research group (UFRN), we selected the final projects of two brazilians universities, UFRN and USP, that in a first analysis, they had shown as ideal types of two distinct design presentation models, respectively: texts and drawings in separated documents, or combined in an only support. Based on Markus explanation about the function and the content of the texts, on the Durand perspective with regard to graphical representation uses and on Tostrup point of view concerning the rhetorical potential of texts and drawings, we analyze, in a set of 25 projects, how the students relate the textual and imagetical speeches. For this, we related the focus of each speech, in order to verify the possible coherence between both. We conclude that in the model of USP final project the coherence between the texts and the drawings is clearer than in the model adopted in UFRN

Improvements in Hardware Transactional Memory for GPU Architectures

In the multi-core CPU world, transactional memory (TM)has emerged as an alternative to lock-based programming for thread synchronization. Recent research proposes the use of TM in GPU architectures, where a high number of computing threads, organized in SIMT fashion, requires an effective synchronization method. In contrast to CPUs, GPUs offer two memory spaces: global memory and local memory. The local memory space serves as a shared scratch-pad for a subset of the computing threads, and it is used by programmers to speed-up their applications thanks to its low latency. Prior work from the authors proposed a lightweight hardware TM (HTM) support based in the local memory, modifying the SIMT execution model and adding a conflict detection mechanism. An efficient implementation of these features is key in order to provide an effective synchronization mechanism at the local memory level. After a quick description of the main features of our HTM design for GPU local memory, in this work we gather together a number of proposals designed with the aim of improving those mechanisms with high impact on performance. Firstly, the SIMT execution model is modified to increase the parallelism of the application when transactions must be serialized in order to make forward progress. Secondly, the conflict detection mechanism is optimized depending on application characteristics, such us the read/write sets, the probability of conflict between transactions and the existence of read-only transactions. As these features can be present in hardware simultaneously, it is a task of the compiler and runtime to determine which ones are more important for a given application. This work includes a discussion on the analysis to be done in order to choose the best configuration solution.

Att introducera, befästa och använda nya begrepp i samhällsorienterande ämnen : En fallstudie

Syftet med detta arbete är att studera vilka olika arbetssätt läraren använder för att introducera, befästa och använda nya begrepp i undervisningen i samhällsorienterande ämnen (SO) samt hur undervisningen uppfattas av elever med språkstörningsdiagnos i en klass i årskurs 4. Utifrån ett specialpedagogiskt perspektiv är fokus att hitta arbetssätt som stöder lärandet för elever med språkstörningsdiagnos. I min studie ingår lärarintervju, lektionsobservationer samt två elevintervjuer. Jag analyserade data utifrån Grundad teori. Analysprocessen var uppbyggd av flera steg och mynnade ut i en egen grundad teoretisk modell med utgångspunkt i mitt syfte och mina frågeställningar. Den teoretiska modellen representeras av sex trappsteg, tydlighet, varierade arbetssätt, repetition, progression, förståelse och förmåga att använda ord och begrepp där det personliga stödet utgör förutsättningen - grunden - för att eleverna med språkstörningsdiagnos ska kunna tillgodogöra sig den klassgemensamma undervisningen. Läraren hade samtalet i helklass som stomme i sin undervisning. Hen använde arbetssätt baserade på forskning: tydliga instruktioner uppdelade i steg, visuellt stöd, elevernas tidigare kunskaper och erfarenheter samt vardagsspråk är utgångspunkt, många tillfällen för repetitioner och uppgifter där eleverna får använda de nya orden och begreppen. Eleverna beskrev att de behövde många repetitioner för att ta till sig nya ord och begrepp. De upplevde de största svårigheterna när många nya begrepp presenterades samtidigt och om de själva skulle söka förklaringar i skriven text. Det bästa sättet att ta till sig ny kunskap var att lyssna, gärna i kombination med bilder av olika slag. De var överens om att Ipad var ett bra verktyg som gav möjlighet att lyssna och tala istället för att läsa och skriva. Studien visar på nödvändigheten av funktionella metoder och uppgifter i klassrummet i kombination med extra anpassningar och personligt stöd utifrån elevens individuella behov.

Assuring best practice in technology-enhanced learning environments

This paper documents the development and findings of the Good Practice Report on Technology-Enhanced Learning and Teaching funded by the Australian Learning and Teaching Council (ALTC). Developing the Good Practice Report required a meta-analysis of 33 ALTC learning and teaching projects relating to technology funded between 2006 and 2010. This report forms one of 12 completed Good Practice Reports on a range of different topics commissioned by the ALTC and Australian Government Office for Learning and Teaching (OLT). The reports aim to reduce issues relating to dissemination that projects face within the sector by providing educators with an efficient and accessible way of engaging with and filtering through the resources and experiences of numerous learning and teaching projects funded by the ALTC and OLT. The Technology-Enhanced Learning and Teaching Report highlights examples of good practice and provides outcomes and recommendations based on the meta-analysis of the relevant learning and teaching projects. However, in order to ensure the value of these reports is realised, educators need to engage with the reports and integrate the information and findings into their practice. The paper concludes by detailing how educational networks can be utilised to support dissemination.

Application of active and transfer learning to wound image segmentation

Wound management is a fundamental task in standard clinical practice. Automated solutions already exist for humans, but there is a lack of applications on wound management for pets. The importance of a precise and efficient wound assessment is helpful to improve diagnosis and to increase the effectiveness of treatment plans for the chronic wounds. The goal of the research was to propose an automated pipeline capable of segmenting natural light-reflected wound images of animals. Two datasets composed by light-reflected images were used in this work: Deepskin dataset, 1564 human wound images obtained during routine dermatological exams, with 145 manual annotated images; Petwound dataset, a set of 290 wound photos of dogs and cats with 0 annotated images. Two implementations of U-Net Convolutioal Neural Network model were proposed for the automated segmentation. Active Semi-Supervised Learning techniques were applied for human-wound images to perform segmentation from 10% of annotated images. Then the same models were trained, via Transfer Learning, adopting an Active Semi- upervised Learning to unlabelled animal-wound images. The combination of the two training strategies proved their effectiveness in generating large amounts of annotated samples (94% of Deepskin, 80% of PetWound) with the minimal human intervention. The correctness of automated segmentation were evaluated by clinical experts at each round of training thus we can assert that the results obtained in this thesis stands as a reliable solution to perform a correct wound image segmentation. The use of Transfer Learning and Active Semi-Supervied Learning allows to minimize labelling effort from clinicians, even requiring no starting manual annotation at all. Moreover the performances of the model with limited number of parameters suggest the implementation of smartphone-based application to this topic, helping the future standardization of light-reflected images as acknowledge medical images.

ProbFAST: Probabilistic Functional Analysis System Tool

Background: The post-genomic era has brought new challenges regarding the understanding of the organization and function of the human genome. Many of these challenges are centered on the meaning of differential gene regulation under distinct biological conditions and can be performed by analyzing the Multiple Differential Expression (MDE) of genes associated with normal and abnormal biological processes. Currently MDE analyses are limited to usual methods of differential expression initially designed for paired analysis. Results: We proposed a web platform named ProbFAST for MDE analysis which uses Bayesian inference to identify key genes that are intuitively prioritized by means of probabilities. A simulated study revealed that our method gives a better performance when compared to other approaches and when applied to public expression data, we demonstrated its flexibility to obtain relevant genes biologically associated with normal and abnormal biological processes. Conclusions: ProbFAST is a free accessible web-based application that enables MDE analysis on a global scale. It offers an efficient methodological approach for MDE analysis of a set of genes that are turned on and off related to functional information during the evolution of a tumor or tissue differentiation. ProbFAST server can be accessed at http://gdm.fmrp.usp.br/probfast.