Syntactic Change in the Verbal System of Bumthang,a Tibeto-Burman Language of Bhutan

This thesis investigates the synchronic and diachronic relationship of the verbal suffix -na to the copula na in Bumthang, a Tibeto-Burman language of central Bhutan. I discuss the formal and functional properties of each to demonstrate that the suffix-na originates in the structural reanalysis of the copula na. Previous research has shown how copulas in Tibeto-Burman languages may come to differentially mark personal knowledge. This differential pattern has been termed ‘personal versus impersonal,’ ‘conjunct versus disjunct,’ and ‘egophoric versus non-egophoric,’ among other labels. In the case of Bumthang I show that as -na has been drawn into the verbal paradigm, it has brought with it the dimension of differential personal versus impersonal marking to a system that did not previously make that distinction. This has led to significant changes in the structure of the verbal paradigm. It is hoped that this thesis will contribute to an understanding of how personal versus impersonal splits may develop, and be reinforced by other paradigms in the language. This thesis also aims to contribute to the documentation of Bumthang

Physical simulation for monocular 3D model based tracking

The problem of model-based object tracking in three dimensions is addressed. Most previous work on tracking assumes simple motion models, and consequently tracking typically fails in a variety of situations. Our insight is that incorporating physics models of object behaviour improves tracking performance in these cases. In particular it allows us to handle tracking in the face of rigid body interactions where there is also occlusion and fast object motion. We show how to incorporate rigid body physics simulation into a particle filter. We present two methods for this based on pose and force noise. The improvements are tested on four videos of a robot pushing an object, and results indicate that our approach performs considerably better than a plain particle filter tracker, with the force noise method producing the best results over the range of test videos

How accessible and acceptable are current GP referral mechanisms for IAPT for low-income patients? Lay and primary care perspectives

Background: Improving Access to Psychological Therapies (IAPT) constitutes a key element of England’s national mental health strategy. Accessing IAPT usually requires patients to self-refer on the advice of their GP. Little is known about how GPs perceive and communicate IAPT services with patients from low-income communities, nor how the notion of self-referral is understood and responded to by such patients. Aims: This paper examines how IAPT referrals are made by GPs and how these referrals are perceived and acted on by patients from low-income backgrounds Method: Findings are drawn from in-depth interviews with low-income patients experiencing mental distress (n = 80); interviews with GPs (n = 10); secondary analysis of video-recorded GP-patient consultations for mental health (n = 26). Results: GPs generally supported self-referral, perceiving it an important initial step towards patient recovery. Most patients however, perceived self-referral as an obstacle to accessing IAPT, and felt their mental health needs were being undermined. The way that IAPT was discussed and the pathway for referral appears to affect uptake of these services. Conclusions: A number of factors deter low-income patients from self-referring for IAPT. Understanding these issues is necessary in enabling the development of more effective referral and support mechanisms within primary care

La réceptivité aux technologies des étudiants en médecine et le rapport entre cette réceptivité et leurs intérêts envers certaines spécialités

Background: Technology readiness (TR) is a construct which characterizes an individual’s propensity to utilize new technology. Despite increased technology use in healthcare, limited data exists on medical student TR and the relation of TR with specialty interest. This study assesses the TR of 2nd year medical students and its association with specialty interest. Methods: Respondents completed a survey assessing their most preferred specialty, specialty interests, and technology readiness using a 5-point Likert scale. Using Chi-square analysis, we examined the relation between demographics, TR, and specialty interest. Results: This study obtained a 45.7% (n = 53/116) response rate demonstrating that 79.2% (n = 42/53) of students were “technology ready.” Male students were more likely to be technology ready (95.2%, n = 20/21, vs 68.8%, n = 22/32, p = 0.02) when compared to female students. Technology ready students were associated with being more interested in “Technology-Focused” specialties compared to students who were not technology ready (88.5%, n = 23/26 vs 70.4%, n = 19/27, p = 0.104). Conclusions: As a cohort, most medical students were technology ready. It is inconclusive if technology ready students are more likely to be interested in technology-focused specialties due to the limited sample size of this study, although with an increased sample size, an improved understanding on technology readiness and its potential impact on student specialty interest may be obtained. Furthermore, knowledge of TR may aid in developing targeted technology-based education programs and in improving remedial approaches for students who are less comfortable with new technology.Contexte : La réceptivité aux technologies (RT) renvoie à la tendance qu’a un individu à utiliser une nouvelle technologie. Malgré l’utilisation accrue des technologies dans le domaine des soins de santé, il existe peu de données sur la RT des étudiants en médecine et sur la relation entre cette réceptivité et leur intérêt envers les diverses spécialités. La présente étude évalue la RT des étudiants en médecine de 2e année et le rapport entre celle-ci et leur intérêt envers certaines spécialités. Méthodes : Les répondants au sondage ont été interrogés sur leur spécialité préférée, sur leurs intérêts envers les diverses spécialités et sur leur réceptivité aux technologies. Leurs réponses ont été évaluées à l’aide d’une échelle de Likert à 5 points. En utilisant l’analyse du Chi carré, nous avons examiné la relation entre la démographie, la RT et les intérêts de spécialité. Résultats : Cette étude a obtenu un taux de réponse de 45,7 % (n = 53/116), montrant que 79,2 % (n = 42/53) des étudiants sont prêts pour l’utilisation des technologies. Cette tendance est davantage présente chez les étudiants de sexe masculin (95,2 %, n = 20/21, comparé à 68,8 %, n = 22/32, p = 0,02 pour les étudiantes). Les étudiants qui sont réceptifs aux technologies ont plus tendance que leurs homologues qui le sont moins à s’intéresser aux spécialités « axées sur la technologie » (88,5 %, n = 23/26, comparé à 70,4 %, n = 19/27, p = 0,104). Conclusions : La plupart des étudiants de la cohorte étudiée étaient réceptifs aux technologies. En raison de la taille limitée de l’échantillon de l’étude, on ne peut pas conclure que les étudiants qui sont réceptifs aux technologies sont plus susceptibles de s’intéresser aux spécialités axées sur la technologie. Des recherches fondées sur un échantillon élargi nous aideraient à mieux comprendre la réceptivité aux technologies et son impact potentiel sur les intérêts des étudiants envers les diverses spécialités. De surcroît, ces connaissances peuvent contribuer à l’élaboration de programmes d’enseignement axés sur la technologie et de mesures d’aide au profit des étudiants qui sont moins à l’aise avec les nouvelles technologies