Les Technologies de l’Information en Santé (TIS) sont de plus en plus utilisées pour améliorer la qualité des soins et la sécurité du patient. Cependant, certains problèmes d’utilisabilité peuvent amenuiser leur impact et peuvent même induire de nouveaux problèmes dont la mise en danger du patient. Pour éviter ces effets négatifs, il est notamment nécessaire d’améliorer l’utilisabilité des TIS ce qui requiert l’application de connaissances d’utilisabilité éprouvées. Les connaissances en utilisabilité appliquée aux TIS sont rares, éparpillées à travers diverses supports et peu utilisables. Par ailleurs, leur couverture en termes de problèmes d’utilisabilité est peu connue. Ce travail a deux objectifs: (i) participer à l’amélioration de l’accumulation de la connaissance en utilisabilité pour les TIS, (ii) fournir une connaissance structurée sur l’utilisabilité des TIS et dont la couverture est établie. Le domaine d’application est celui des systèmes d’alerte médicamenteux.Méthode. Deux analyses indépendantes de la littérature ont été menées : d’un côté, identifier et organiser les problèmes d’utilisabilité des systèmes d’alerte médicamenteux ainsi que leurs conséquences ; de l’autre, identifier et synthétiser les principes d’utilisabilité spécifiques à ces systèmes. Les résultats de ces analyses ont été croisés afin de connaitre la couverture desdits principes en termes de problèmes d’utilisabilité.Résultats. La revue systématique a identifié 13 types de problèmes d’utilisabilité dans les systèmes d’alerte médicamenteux. Les conséquences de ces problèmes sur le clinicien et son système de travail sont variées et ont un grand pouvoir de nuisance (e.g., fatigue, erreur d’interprétation). Au total, 63 principes d’utilisabilité permettent de rendre compte de tous les problèmes d’utilisabilité identifiés. Ils sont organisés en 6 thèmes : améliorer le ratio signal-bruit, être en adéquation avec l’activité des cliniciens, supporter le travail collaboratif, afficher les informations pertinentes, rendre le système transparent et fournir des outils utiles. Le croisement des deux ensembles de données révèle une bonne correspondance entre les principes d’utilisabilité énoncés et les problèmes d’utilisabilité réellement observés.Discussion. Une liste structurée des principes d’utilisabilité illustrés par des exemples réels de leur violation a été développée à partir de ce travail. Cette liste peut aider les concepteurs et les experts en Facteurs Humains à comprendre et à appliquer les principes d’utilisabilité durant la conception et l’évaluation de systèmes d’alerte médicamenteux. L’utilisabilité appliquée aux TIS est une discipline relativement récente qui souffre d’un déficit de structuration et de capitalisation de ses connaissances. Ce travail montre qu’il est possible d’accumuler et de structurer les données d’utilisabilité des TIS. Ce travail pourrait être poursuivi en développant une base de connaissance en utilisabilité appliquée aux TIS afin de tendre vers une « utilisabilité fondée sur les preuves ». / Health Information Technology (HIT) is increasingly implemented to improve healthcare quality and patient safety. However, some usability issues may reduce their impact and even induce new problems (including patient safety issues). To avoid those negative outcomes, amongst other actions, HIT usability must be improved. This action requires applying validated usability knowledge. However, usability knowledge applied to HIT is scattered across several sources, is not structured and is hardly usable. Moreover, its coverage regarding related usability flaws is not known. This work has two aims: (i) to participate in improving the accumulation of usability knowledge for HIT and (ii) to provide synthetic structured easy-to-use HIT usability knowledge with a clear coverage. Those aims are applied to medication alerting systems.Method.Two independent analyses of the literature have been performed. On the one hand, usability flaws and their consequences for the clinicians and the work system have been searched and organized; on the other hand, existing usability design principles specific to medication alerting systems have been synthesized. Results of both analyses have been matched together. Results.A systematic review identified 13 types of usability flaws in medication alerting systems. Consequences on the clinicians and the work system are varied: they greatly impede the clinicians and negatively impact the work system (e.g., alert fatigue, alert misinterpretation). Sixty-three usability design principles dedicated to medication alerting systems are identified. They represent six themes: improve the signal-to-noise ratio, fit clinicians’ workflow, support collaborative work, display relevant information, make the system transparent and provide useful tools. The matching between usability flaws and principles is quite good.Discussion.As a result of this work, a list of usability design principles illustrated by actual instances of their violation has been developed. It may help designers and Human Factors experts understand and apply usability design principles when designing and evaluating medication alerting systems. Usability applied to HIT is a recent research field that suffers from a deficit of structured knowledge. This work shows that it is possible to accumulate and structure usability knowledge. It could be carried on by developing a usability knowledge base dedicated to HIT in order to strive towards “evidence-based usability”.

The classification of predicates according to their aspectual properties has a long history, dating back to Aristotle. Perhaps the most influential classification can be attributed to Vendler (1967). The time schemata to distinguish his four classes relies on a combination of entailment patterns and behaviours of "verbs" in different structures. Since Vendler, many researchers have revisited this classification, differing on both the proposed number of classes as well as the ways in which they are derived. Although they use different diagnostics to motivate their systems, what these approaches seem to share in common is the claim that aspectual classes are universal. This thesis addresses this claim and proposes that based on data from Skwxwu7mesh (a.k.a. Squamish), the representations of predicates vary crosslinguistically. I argue for a classification based on the presence/absence of intrinsic initial and final points in predicate representations. Chapters Two and Three are concerned with final points and initial points, respectively. I present four diagnostics which I argue test for the presence of final points and two diagnostics that test for the presence of initial points. Based on the results of these tests, I propose a modification of Rothstein's (2004) predicate templates (that in turn are a modification of Dowty's 1979 templates) to account for the classification of Skwxwu7mesh predicate classes that emerges. Chapters Four and Five are concerned with perfectivity and imperfectivity, respectively. In these chapters, I motivate the claim that Skwxwu7mesh has both a progressive marker and an imperfective marker. I propose that adopting Dowty's (1979) analysis of the progressive and Kratzer's (1998) analysis of the imperfective, along with the predicate representations introduced in chapters two and three, can derive the readings of progressive and imperfective predicates in Skwxwu7mesh. Based on a small study involving 10 native speakers of English who are not linguists, in Chapter Six I briefly revisit English aspectual classes. Using the results of some of the diagnostics from chapters two and three, I show the contrast between English and Skwxwu7mesh predicate representations, highlighting the claim that aspectual classes do indeed vary cross-linguistically. / Arts, Faculty of / Linguistics, Department of / Graduate

This collection of eight single-authored papers published between 2008 and 2012, provides detailed and critical insight into land issues in the Pacific island country of the Republic of Vanuatu. Developed largely from conference papers delivered to international audiences, these publications make a novel and significant contribution to the prior knowledge base in a number of ways. Firstly, the research behind these papers has combined physical proximity to the subject matter – through being based in Vanuatu for several years, with access to a range of legal and other materials as well as personal insights, with a broader intellectual expertise in the law of property and trusts as introduced into the region. A combination of doctrinal and empirical research has made it possible to give a specifically focussed law in context and law in practice perspective, while not losing sight of the inter-relationship of law and society. In this way the existing knowledge base founded on anthropological and ethnological studies has been given a further and contemporary, legal dimension. Secondly, the desire to reach a wider audience than the regional or local, has meant that these publications have engaged Vanuatu as a case-study with broader themes, sometimes starting from the local and exploring outwards and sometimes starting from the global and narrowing in on Vanuatu as a concluding focus. While recognising all that makes Vanuatu unique, the contribution that this collection makes is to bring this island study from the particular to the general, in from the margins or as part of a removed and rather isolated area of study, towards the mainstream. Thirdly, these publications articulate land developments at a crucial moment. The first decade of the twenty-first century, has been a time of increased public awareness of land issues in Vanuatu and in the Pacific region more generally, and a time of increased donor intervention in land and law related activities. That this research and the related research that informs it, is integral to this process has been evidenced by cross referencing to some of the work and other indicators of esteem by aid donors, inter-state agencies and other academics. Land remains a site of contestation in Vanuatu. The critical analysis of present issues, against the historical context of colonial rule and its subsequent influence; the introduction of foreign laws and institutions and the continuing importance of unwritten customary law, exposes many of the challenges that are encountered in trying to frame a way forward and engages with controversies surrounding land policy, land law and the management of this most fundamental resource.

This thesis is the first major study of organised Irish nationalism in the North East of England, set against the wider context of events in Britain and Ireland, from the division that followed Parnell’s fall in 1890 until shortly after the foundation of the Irish Free State and the Irish Civil War. It is a significant contribution to our understanding of the history of the largest ethnic group in Britain before the Second World War – the Irish. It is also an important regional study, revealing the vitality and diversity of the North East’s expression of Irish nationalism that was probably not equalled anywhere else in England and Wales, other than in London. That vitality was manifested in the raising of the Tyneside Irish Brigade for the British Army in 1914. The Tyneside Irish was the crowning achievement of the pre-1918 Irish nationalist organisations in the North East, and arguably in Britain, demonstrating the organisations’ commitment both to John Redmond and to the region, where so many Irish migrants had settled. Irish nationalism’s diversity in the North East was embodied in the Irish Labour Party, which, alone in England, took root on Tyneside, and sought to blend class and ethnic issues at a time of national crisis in Ireland. This organisation casts light on the complex issue of the transference of working-class Irish Catholic allegiance from nationalism to the labour movement in Britain, and, therefore, in the assimilation of that community into the wider British community. Though none of these nationalist organisations has left any extensive archive, this thesis utilises Irish and English manuscript sources, and a wide array of Catholic, labour, and regional newspapers, to demonstrate that these organisations were not only an important part of the history of the Irish in the North East, but also of the North East itself.

Through a mixed thematic and chronological approach, this thesis attempts to place working-class anti-catholicism. within a broader social context whilst retaining. sight of the intricacies of the subject itself. Chapter One describes the city of Liverpool in the nineteenth century, with a view to providing not just a backdrop to the thesis but Pýso revealing some of the forces permanently exerting an influence on working-class opinion. The thesis argues that the most important of these forces was economic, in the form of intense rivalry for limited resources between Protestant English and Catholic Irish working people (Chapter 3). The sectarian dimension to this struggle is provided by the long-term popularity of an anti-Catholic agitation, in this case, the Papal Aggression. It finds that anti. -Catholic, in various intensities existed throughout the social classes of nineteenth century Liverpool, though its manifestations varied from class for class and between Protestant Sects. In Chapter Seven it is later suggested that the middle and upper-class deserted sectarianism leaving the working-class alone in their anxiety and outrage by the end of the century. In Chapter Five the physical manifestations of working-class anti-Catholicism are explored and it is argued that they fit into the mainstream picture of working-class leisure and middle-class respectability. Chapter Six suggests that a dual class and sectarian identity existed within the Protestant working-class which made any union with the social elite troublesome and even permitted Protestantism to be used as a vehicle for limited forms of class conflict whilst failing to prevent unity of industrial action across the sectarian divide. Chapter Seven reviews the development of anti-Catholicism as it shrinks in appeal between 1870 and 1914 to being a workingclass, Low Church or Nonconformist obsession.

Uma representação estruturada dos documentos em um formato apropriado para a obtenção automática de conhecimento, sem que haja perda de informações relevantes em relação ao formato originalmente não-estruturado, é um dos passos mais importantes da mineração de textos, pois a qualidade dos resultados obtidos com as abordagens automáticas para obtenção de conhecimento de textos estão fortemente relacionados à qualidade dos atributos utilizados para representar a coleção de documentos. O Modelo de Espaço de Vetores (MEV) é um modelo tradicional para obter uma representação estruturada dos documentos. Neste modelo, cada documento é representado por um vetor de pesos correspondentes aos atributos do texto. O modelo bag-of-words é a abordagem de MEV mais utilizada devido a sua simplicidade e aplicabilidade. Entretanto, o modelo bag-of-words não trata a dependência entre termos e possui alta dimensionalidade. Diversos modelos para representação dos documentos foram propostos na literatura visando capturar a informação de relação entre termos, destacando-se os modelos baseados em frases ou termos compostos, o Modelo de Espaço de Vetores Generalizado (MEVG) e suas extensões, modelos de tópicos não-probabilísticos, como o Latent Semantic Analysis (LSA) ou o Non-negative Matrix Factorization (NMF), e modelos de tópicos probabilísticos, como o Latent Dirichlet Allocation (LDA) e suas extensões. A representação baseada em modelos de tópicos é uma das abordagens mais interessantes uma vez que elas fornece uma estrutura que descreve a coleção de documentos em uma forma que revela sua estrutura interna e as suas inter-relações. As abordagens de extração de tópicos também fornecem uma estratégia de redução da dimensionalidade visando a construção de novas dimensões que representam os principais tópicos ou assuntos identificados na coleção de documentos. Entretanto, a extração é eficiente de informações sobre as relações entre os termos para construção da representação de documentos ainda é um grande desafio de pesquisa. Os modelos para representação de documentos que exploram a correlação entre termos normalmente enfrentam um grande desafio para manter um bom equilíbrio entre (i) a quantidade de dimensões obtidas, (ii) o esforço computacional e (iii) a interpretabilidade das novas dimensões obtidas. Assim,é proposto neste trabalho o modelo para representação de documentos Latent Association Rule Cluster based Model (LARCM). Este é um modelo de extração de tópicos não-probabilístico que explora o agrupamento de regras de associação para construir uma representação da coleção de documentos com dimensionalidade reduzida tal que as novas dimensões são extraídas a partir das informações sobre as relações entre os termos. No modelo proposto, as regras de associação são extraídas para cada documento para obter termos correlacionados que formam expressões multi-palavras. Essas relações entre os termos formam o contexto local da relação entre termos. Em seguida, aplica-se um processo de agrupamento em todas as regras de associação para formar o contexto geral das relações entre os termos, e cada grupo de regras de associação obtido formará um tópico, ou seja, uma dimensão da representação. Também é proposto neste trabalho uma metodologia de avaliação que permite selecionar modelos que maximizam tanto os resultados na tarefa de classificação de textos quanto os resultados de interpretabilidade dos tópicos obtidos. O modelo LARCM foi comparado com o modelo LDA tradicional e o modelo LDA utilizando uma representação que inclui termos compostos (bag-of-related-words). Os resultados dos experimentos indicam que o modelo LARCM produz uma representação para os documentos que contribui significativamente para a melhora dos resultados na tarefa de classificação de textos, mantendo também uma boa interpretabilidade dos tópicos obtidos. O modelo LARCM também apresentou ótimo desempenho quando utilizado para extração de informação de contexto para aplicação em sistemas de recomendação sensíveis ao contexto. / A structured representation of documents in an appropriate format for the automatic knowledge extraction without loss of relevant information is one of the most important steps of text mining, since the quality of the results obtained with automatic approaches for the text knowledge extraction is strongly related to the quality of the selected attributes to represent the collection of documents. The Vector Space model (VSM) is a traditional structured representation of documents. In this model, each document is represented as a vector of weights that corresponds to the features of the document. The bag-of-words model is the most popular VSM approach because of its simplicity and general applicability. However, the bag-of-words model does not include dependencies of the terms and has a high dimensionality. Several models for document representation have been proposed in the literature in order to capture the dependence among the terms, especially models based on phrases or compound terms, the Generalized Vector Space Model (GVSM) and their extensions, non-probabilistic topic models as Latent Semantic Analysis (LSA) or Non-negative Matrix Factorization (NMF) and still probabilistic topic models as the Latent Dirichlet Allocation (LDA) and their extensions. The topic model representation is one of the most interesting approaches since it provides a structure that describes the collection of documents in a way that reveals their internal structure and their interrelationships. Also, this approach provides a dimensionality reduction strategy aiming to built new dimensions that represent the main topics or ideas of the document collection. However, the efficient extraction of information about the relations of terms for document representation is still a major research challenge nowadays. The document representation models that explore correlated terms usually face a great challenge of keeping a good balance among the (i) number of extracted features, (ii) the computational performance and (iii) the interpretability of new features. In this way, we proposed the Latent Association Rule Cluster based Model (LARCM). The LARCM is a non-probabilistic topic model that explores association rule clustering to build a document representation with low dimensionality in a way that each dimension is composed by information about the relations among the terms. In the proposed approach, the association rules are built for each document to extract the correlated terms that will compose the multi-word expressions. These relations among the terms are the local context of relations. Then, a clustering process is applied for all association rules to discover the general context of the relations, and each obtained cluster is an extracted topic or a dimension of the new document representation. This work also proposes in this work an evaluation methodology to select topic models that maximize the results in the text classification task as much as the interpretability of the obtained topics. The LARCM model was compared against both the traditional LDA model and the LDA model using a document representation that includes multi-word expressions (bag-of-related-words). The experimental results indicate that LARCM provides an document representation that improves the results in the text classification task and even retains a good interpretability of the extract topics. The LARCM model also achieved great results as a method to extract contextual information for context-aware recommender systems.

Artigos científicos são o principal mecanismo que pesquisadores usam para reportar suas descobertas científicas, e uma coleção de artigos em uma área de pesquisa pode revelar muito sobre sua evolução ao longo do tempo, como a emergência de novos tópicos e a evolução dos mesmos quanto ao seu conteúdo. No entanto, dada uma ampla coleção de artigos é geralmente muito difícil extrair informações importantes que possam ajudar leitores a interpretar globalmente, navegar e então eventualmente focar em itens relevantes para sua tarefa. Mapas de documentos baseados em conteúdo são representações visuais criadas para avaliar a similaridade entre documentos, e têm se mostrado úteis em auxiliar tarefas exploratórias neste cenário. Documentos são representados por marcadores visuais projetados em um espaço bidimensional de forma que documentos com conteúdo similar permaneçam próximos. Apesar de estes mapas permitirem a identificação visual de grupos de documentos relacionados e de fronteiras entre esses grupos, eles não transmitem explicitamente a evolução temporal de uma coleção. Nesta tese, propomos e validamos um mapa de documentos dinâmico interativo para coleções de artigos científicos capaz de evidenciar o comportamento temporal para apoiar tarefas de análise, preservando ao mesmo tempo a acurácia local do mapa e o contexto do usuário. As mudanças nas relações de similaridade, evidenciadas ao longo do tempo nesse mapa, oferecem suporte para detecção da evolução temporal dos tópicos. Essa evolução é caracterizada por meio de eventos de transição entre grupos, como a emergência de novos grupos e tópicos em momentos específicos e a especialização de um grupo, e pela detecção de mudanças no vocabulário dos tópicos, utilizando técnicas que extraem os termos mais relevantes (tópicos) em cada grupo, em diferentes momentos / Scientific articles are the major mechanism used by researchers to report their scientific results, and a collection of articles in a research area can reveal a lot about its evolution over time, such as the emergence of new topics and changes in topic vocabulary. However, given a broad collection of articles it is usually very difficult to extract important information that can help readers to globally interpret, navigate and then eventually focus on subjects relevant to their task. Document maps based on content are visual representations created to convey the similarity between documents, and have proven to be useful in helping users conducting exploratory tasks in this scenario. Documents are represented by graphical markers projected onto a two-dimensional space so that documents similar in content remain close. Although these maps allow visual identification of groups of related documents and boundaries between these groups, they do not explicitly convey the temporal evolution of a collection. In this thesis, we propose and validate a dynamic document map for collections of scientific articles capable of showing the temporal behavior to support analysis tasks, while simultaneously preserving the local accuracy of the map and the user global context. Changes in the similarity relationships, evidenced over time in this map, support the detection of the temporal evolution of topics. This evolution is characterized by transition events between groups such as the emergence of new groups and topics at specific moments and the specialization of a group, as well by detecting changes in the vocabulary of topics, using techniques that extract the most relevant terms (topics) in each group, at different times

Les modèles linéaires latents sont des modèles statistique puissants pour extraire la structure latente utile à partir de données non structurées par ailleurs. Ces modèles sont utiles dans de nombreuses applications telles que le traitement automatique du langage naturel et la vision artificielle. Pourtant, l'estimation et l'inférence sont souvent impossibles en temps polynomial pour de nombreux modèles linéaires latents et on doit utiliser des méthodes approximatives pour lesquelles il est difficile de récupérer les paramètres. Plusieurs approches, introduites récemment, utilisent la méthode des moments. Elles permettent de retrouver les paramètres dans le cadre idéalisé d'un échantillon de données infini tiré selon certains modèles, mais ils viennent souvent avec des garanties théoriques dans les cas où ce n'est pas exactement satisfait. Dans cette thèse, nous nous concentrons sur les méthodes d'estimation fondées sur l'appariement de moment pour différents modèles linéaires latents. L'utilisation d'un lien étroit avec l'analyse en composantes indépendantes, qui est un outil bien étudié par la communauté du traitement du signal, nous présentons plusieurs modèles semiparamétriques pour la modélisation thématique et dans un contexte multi-vues. Nous présentons des méthodes à base de moment ainsi que des algorithmes pour l'estimation dans ces modèles, et nous prouvons pour ces méthodes des résultats de complexité améliorée par rapport aux méthodes existantes. Nous donnons également des garanties d'identifiabilité, contrairement à d'autres modèles actuels. C'est une propriété importante pour assurer leur interprétabilité. / Latent linear models are powerful probabilistic tools for extracting useful latent structure from otherwise unstructured data and have proved useful in numerous applications such as natural language processing and computer vision. However, the estimation and inference are often intractable for many latent linear models and one has to make use of approximate methods often with no recovery guarantees. An alternative approach, which has been popular lately, are methods based on the method of moments. These methods often have guarantees of exact recovery in the idealized setting of an infinite data sample and well specified models, but they also often come with theoretical guarantees in cases where this is not exactly satisfied. In this thesis, we focus on moment matchingbased estimation methods for different latent linear models. Using a close connection with independent component analysis, which is a well studied tool from the signal processing literature, we introduce several semiparametric models in the topic modeling context and for multi-view models and develop moment matching-based methods for the estimation in these models. These methods come with improved sample complexity results compared to the previously proposed methods. The models are supplemented with the identifiability guarantees, which is a necessary property to ensure their interpretability. This is opposed to some other widely used models, which are unidentifiable.

Topic Detection and Tracking (TDT) research has produced some successful statistical tracking systems. While lexical chaining, a non-statistical approach, has also been applied to the task of tracking by Carthy and Stokes for the 2001 TDT evaluation, an efficient tracking system based on this technology has yet to be developed. In thesis we investigate two new techniques which can improve Carthy's original design. First, at the core of our system is a semantic domain chainer. This chainer relies not only on the WordNet database for semantic relationships but also on Magnini's semantic domain database, which is an extension of WordNet. The domain-chaining algorithm is a linear algorithm. Second, to handle proper nouns, we gather all of the ones that occur in a news story together in a chain reserved for proper nouns. In this thesis we also discuss the linguistic limitations of lexical chainers to represent textual meaning.

Although the topoi and elements of what has been described as the “Venerable Style” (V.S.) are found in many places in Mozart’s solo keyboard sonatas, the obsessive juxtaposition of these elements against brilliant, concerted, Empfindsamer Stil, and Sturm und Drang topoi can be shown to define the first and third movements of his minor key piano sonatas K.310 and K.457. This thesis will investigate using the theoretical tools developed by a range of Topic Theory authors such as Ratner (1980,) Allanbrook (1983,) Hatten (2004,) and Monelle (2000, 2006,) a newly developed analytical concept known as topical expansion, and the structural framework provided by Hepokoski and Darcy (2006) to prove that the venerable topoi are not purely referential gestures, but are also vital parts of the structural content of each of the sonatas and their respective single movements. In line with Caplin (2005)’s warning that the venerable and learned styles are some of the only historically developed and generally accepted topoi with formal (structural) ramifications, this thesis will argue that K.310 and K.457’s surface content is built largely upon the application, troping, and expansion of V.S. topoi in the key formal regions given in Hepokoski and Darcy (2006). As a result of comparative analysis, a further topical level of unity and compositional organization will be shown to be present in the works justifying Kinderman (2006) and Irving (2010)’s conception of the works’ stylistic affect as avant-garde and romantic in execution. Additionally, analysis of the works’ strictly controlled topoi will show each work to be in opposition to Allanbrook’s conception of Mozart’s music as a “miniature theater of gestures,” suggesting that their austere affect is programmed at the topical level in addition to their tonal and formal content (Allanbrook 1992, 130).