Are we positively or negatively affected? : A study on how people react to food-related communication messages

Background- Communication messages today are all about influencing and persuading people. Two main types of messages can be seen when studying the healthy food trend on Instagram and how it is impacting attitude formation and change; these two are positive and negative messages. However, different communication messages are not the only deciders of attitude formation and change. There is one more significant factor that impacts attitude formation and change; this factor is identification with the message sender. Purpose- The purpose of this thesis is to identify whether positively or negatively themed messages on Instagram have a stronger impact on a person's attitudes regarding healthy food consumption. We will further examine if identification with the message sender additionally impacts attitude formation and change. Method- In order to fulfill the purpose of the thesis we used a qualitative research approach. We conducted interviews with 40 respondents that belonged to our main target group. Furthermore we conducted a robustness check with six respondents. All 46 respondents included in the qualitative study were Instagram users, and all the respondents in the main target group were students. Findings and Conclusion- After analyzing the empirical results together with suitable theories, some main conclusions could be drawn. The study demonstrated that positive communication messages are the preferred message type on Instagram. We further conclude that identification with the message sender does indeed have an additional impact on attitude formation and change. Based on this study we can say that communication messages and identification with the message sender work together in forming and changing attitudes regarding healthy food on Instagram. Practical Implications- This thesis gives valuable indications to companies, organizations and decision makers in order to direct marketing practices in terms of communication messages on social media, particularly Instagram. Moreover it gives insights for managers to be able to create communication messages that correspond to the expectations of the society. Keywords- Communication messages, attitude formation and change, identification with the message sender.

Saúde hunana e ambiental: estudo com trabalhadores agricultores da ilha dos marinheiros

Este estudo apresenta uma relação entre o trabalho agrícola familiar e a saúde humana e ambiental em um cenário insular com características rurais, tendo-se como objetivo geral, analisar a sustentabilidade da relação socioambiental do trabalho de agricultores moradores da Ilha dos Marinheiros. Os objetivos específicos foram: Caracterizar a sustentabilidade do trabalho agrícola familiar na Ilha dos Marinheiros; Identificar como os trabalhadores agricultores da Ilha dos Marinheiros significam a sua saúde e atuam para mantê-la; Compreender como os trabalhadores agricultores identificam os impactos positivos e negativos do trabalho agrícola familiar desencadeados no ambiente e a conservação da saúde ambiental. Trata-se de uma pesquisa exploratória, descritiva, transversal com desenho de método misto com estruturação [QUAL + quan]. Foi realizada na Ilha dos Marinheiros, Rio Grande, Brasil, com 129 trabalhadores agricultores entre março a outubro de 2013, utilizando-se entrevista com aplicação individual de um questionário semiestruturado, gravado, previamente elaborado e testado. Também foram utilizados dados secundários referentes à constituição geográfica, cultural e econômica da Ilha. A organização dos dados qualitativos ocorreu a partir da transcrição dos dados oriundos das entrevistas no Microsoft Word, seguido da Análise de Conteúdo por temas com auxílio do Software Nvivo10. Para ambos os processos de análise utilizou-se o apoio teórico na racionalidade cultural de Enrique Leff. A organização dos dados quantitativos se fez pela codificação dos dados e digitação no software Statistical Package for the Social Sciences, 21.0, seguido da análise estatística descritiva e Teste Qui-quadrado de Pearson, com o p-valor <0,05 como significância estatística. Foram asseguradas as exigências éticas e científicas preconizadas nas pesquisas com seres humanos, mediante Resolução 466/2012 e aprovação do macroprojeto pelo Comitê de Ética da Universidade Federal do Rio Grande sob parecer 026/2013. Teve-se 78 trabalhadores agricultores do sexo masculino com idade média de (55,33±14,27), e 51 do sexo feminino, com idade média de (54,68±11,08). Predominou a descendência portuguesa 106 (84,8%), a maioria 100 (77,52%) com ensino fundamental incompleto, média de 2,53 integrantes no domicílio e renda familiar média de (1.648,39±947,72) para uma média de 2,58 dependentes desta. Os participantes atuavam em média há 40,56 anos, por (8,51± 3,10) horas diárias de trabalho em suas propriedades com média de 12,49 hectares. A atividade que mais exerciam e que eram mais auxiliados foi colher os produtos agrícolas, predominando o sexo masculino nesta função. O desenvolvimento do trabalho era conduzido mais pelos homens e de forma diária 83 (64,34%), seguido dos filhos 33 (25,58%) também diariamente 24 (18,60%). Quanto à saúde humana, esta foi concebida como boa, regular e ruim, com ações que convergem à continuidade do exercício laboral e adesão aos serviços de saúde mínima anualmente. Já os impactos positivos do trabalho no ambiente incidiram na conservação do trabalho como uma riqueza, o que exige atenção quanto ao uso dos agrotóxicos frente aos impactos negativos desencadeados ao ambiente em uma perspectiva sustentável à vida humana e não humana. O estudo fornece subsídios 6 contributivos à prática argumentativa do Enfermeiro à saúde ocupacional na agricultura familiar sob uma perspectiva sustentável ao ambiente.

Contextual text mining

With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the author(s) of a biomedical publication, or implicit, such as the positive or negative sentiment that an author had when she wrote a product review; there may also be complex context such as the social network of the authors. Many applications require analysis of topic patterns over different contexts. For instance, analysis of search logs in the context of the user can reveal how we can improve the quality of a search engine by optimizing the search results according to particular users; analysis of customer reviews in the context of positive and negative sentiments can help the user summarize public opinions about a product; analysis of blogs or scientific publications in the context of a social network can facilitate discovery of more meaningful topical communities. Since context information significantly affects the choices of topics and language made by authors, in general, it is very important to incorporate it into analyzing and mining text data. In general, modeling the context in text, discovering contextual patterns of language units and topics from text, a general task which we refer to as Contextual Text Mining, has widespread applications in text mining. In this thesis, we provide a novel and systematic study of contextual text mining, which is a new paradigm of text mining treating context information as the ``first-class citizen.'' We formally define the problem of contextual text mining and its basic tasks, and propose a general framework for contextual text mining based on generative modeling of text. This conceptual framework provides general guidance on text mining problems with context information and can be instantiated into many real tasks, including the general problem of contextual topic analysis. We formally present a functional framework for contextual topic analysis, with a general contextual topic model and its various versions, which can effectively solve the text mining problems in a lot of real world applications. We further introduce general components of contextual topic analysis, by adding priors to contextual topic models to incorporate prior knowledge, regularizing contextual topic models with dependency structure of context, and postprocessing contextual patterns to extract refined patterns. The refinements on the general contextual topic model naturally lead to a variety of probabilistic models which incorporate different types of context and various assumptions and constraints. These special versions of the contextual topic model are proved effective in a variety of real applications involving topics and explicit contexts, implicit contexts, and complex contexts. We then introduce a postprocessing procedure for contextual patterns, by generating meaningful labels for multinomial context models. This method provides a general way to interpret text mining results for real users. By applying contextual text mining in the ``context'' of other text information management tasks, including ad hoc text retrieval and web search, we further prove the effectiveness of contextual text mining techniques in a quantitative way with large scale datasets. The framework of contextual text mining not only unifies many explorations of text analysis with context information, but also opens up many new possibilities for future research directions in text mining.

Montreal Cognitive Assessment (MoCA): validation study for vascular dementia

The Montreal Cognitive Assessment (MoCA) is a brief instrument developed for the screening of milder forms of cognitive impairment, having surpassed the well-known limitations of the MMSE. The aim of the present study was to validate the MoCA as well as its short version, which was proposed by the NINDS-CSN VCI Harmonization Standards for screening Vascular Dementia (VaD) patients. The results, based on a homogeneous sample of 34 VaD patients, indicate that the MoCA is a psychometrically valid and reliable instrument for cognitive screening in VaD patients, showing excellent discriminant validity. Both the full and short versions of the MoCA had excellent diagnostic accuracy in discriminating VaD patients, exhibiting an area under curve (AUC) higher than the MMSE [AUC(MoCA full version) = .950; 95% IC = .868-.988; AUC(MoCA short version) = .936; 95% IC = .849-.981; AUC(MMSE) = .860; 95% IC = .754-.932]. With a cutoff below 17 on the MoCA full version and 8 on the short version, the results for sensitivity, specificity, positive and negative predictive values, and classification accuracy were superior compared to the MMSE. In conclusion, both versions of the MoCA are valid, reliable, sensitive and accurate screening instruments for VaD patients.

Datasets, features, learning, and models in visual recognition

Visual recognition is a fundamental research topic in computer vision. This dissertation explores datasets, features, learning, and models used for visual recognition. In order to train visual models and evaluate different recognition algorithms, this dissertation develops an approach to collect object image datasets on web pages using an analysis of text around the image and of image appearance. This method exploits established online knowledge resources (Wikipedia pages for text; Flickr and Caltech data sets for images). The resources provide rich text and object appearance information. This dissertation describes results on two datasets. The first is Berg’s collection of 10 animal categories; on this dataset, we significantly outperform previous approaches. On an additional set of 5 categories, experimental results show the effectiveness of the method. Images are represented as features for visual recognition. This dissertation introduces a text-based image feature and demonstrates that it consistently improves performance on hard object classification problems. The feature is built using an auxiliary dataset of images annotated with tags, downloaded from the Internet. Image tags are noisy. The method obtains the text features of an unannotated image from the tags of its k-nearest neighbors in this auxiliary collection. A visual classifier presented with an object viewed under novel circumstances (say, a new viewing direction) must rely on its visual examples. This text feature may not change, because the auxiliary dataset likely contains a similar picture. While the tags associated with images are noisy, they are more stable when appearance changes. The performance of this feature is tested using PASCAL VOC 2006 and 2007 datasets. This feature performs well; it consistently improves the performance of visual object classifiers, and is particularly effective when the training dataset is small. With more and more collected training data, computational cost becomes a bottleneck, especially when training sophisticated classifiers such as kernelized SVM. This dissertation proposes a fast training algorithm called Stochastic Intersection Kernel Machine (SIKMA). This proposed training method will be useful for many vision problems, as it can produce a kernel classifier that is more accurate than a linear classifier, and can be trained on tens of thousands of examples in two minutes. It processes training examples one by one in a sequence, so memory cost is no longer the bottleneck to process large scale datasets. This dissertation applies this approach to train classifiers of Flickr groups with many group training examples. The resulting Flickr group prediction scores can be used to measure image similarity between two images. Experimental results on the Corel dataset and a PASCAL VOC dataset show the learned Flickr features perform better on image matching, retrieval, and classification than conventional visual features. Visual models are usually trained to best separate positive and negative training examples. However, when recognizing a large number of object categories, there may not be enough training examples for most objects, due to the intrinsic long-tailed distribution of objects in the real world. This dissertation proposes an approach to use comparative object similarity. The key insight is that, given a set of object categories which are similar and a set of categories which are dissimilar, a good object model should respond more strongly to examples from similar categories than to examples from dissimilar categories. This dissertation develops a regularized kernel machine algorithm to use this category dependent similarity regularization. Experiments on hundreds of categories show that our method can make significant improvement for categories with few or even no positive examples.

Effect of Experience on Alibi Generation and Expectation

Members of the general population have high expectations of people who are asked to corroborate an alibi for the suspect of a crime. The general belief is that it is easy to provide an alibi if a person is innocent, and therefore guilt should be assumed when an alibi cannot be provided. The possibility that having to generate an alibi oneself could influence expectations was examined. Additionally, potential changes in opinion after being provided with positive or negative feedback were explored. Results showed a significant difference in expectations based on whether participants were correct or incorrect in identifying the suspect, that is, whether participants were able to provide an alibi. Those who were incorrect had lower expectations of themselves and of others than those who were correct. Making jurors aware of the difficulty in providing an alibi may lead to fairer treatment of suspects who have difficulty providing one.

Desenvolvimento de um biossensor para monitorização de acetilcolina, um biomarcador associado à Doença de Alzheimer

A presente dissertação teve como objetivo o desenvolvimento e caracterização de sensores potenciométricos com base em polímeros de impressão molecular (MIP, do inglês, Molecularly Imprinted Polymer) para a determinação da molécula alvo, a acetilcolina. A acetilcolina (ACh) é um neurotransmissor que está associado à doença de Alzheimer. Os materiais biomiméticos desenvolvidos para a interação com a ACh foram obtidos por polimerização em bulk, recorrendo a uma combinação de nanotubos de carbono com monómeros de anilina, dispersos em solvente plastificante oNFOE e PVC. Para aferir sobre o efeito da impressão de ACh na resposta dos materiais MIP, foram igualmente preparados e avaliados materiais de controlo, ou seja, materiais sem impressão molecular (NIP). O controlo da constituição química destes materiais foi realizado recorrendo a Espectroscopia de Raman e Espectroscopia de Infravermelho com transformada de Fourier (FTIR, do inglês Fourier Transformed Infrared Spectroscopy). Os materiais desenvolvidos foram integrados em membranas seletivas de ião, preparadas com ou sem aditivo iónico lipófilo, de carga negativa ou positiva. A avaliação das características gerais das membranas baseou-se na comparação das caraterísticas dos diversos elétrodos. Estas caraterísticas foram obtidas a partir de curvas de calibração, conseguidas para valores de pH diferentes. Em meio ácido, mais precisamente para pH 4, as membranas com materiais impressos e aditivo aniónico foram as que apresentaram as melhores características analíticas, quer em termos de sensibilidade (+83,86 mV década-1) quer em gama de linearidade (de 3,52×10-5 a 1,73×10-3 M). O estudo de seletividade realizado aos sensores revelou que os elétrodos cuja membrana possuía aditivo aniónico apresentavam menores valores de log KPOT. A presença desse constituinte fez com que a seletividade aumentasse nesses mesmos elétrodos. A espécie menos interferente foi a creatina e a mais interferente a creatinina. Os elétrodos foram, ainda, aplicados em amostras de soro sintético. A qualidade dos resultados obtidos dependeu do nível de concentração em estudo, sendo possível identificar uma região onde os resultados foram exatos e precisos. De uma forma geral, os biossensores com MIP e aditivo aniónico apresentaram um desempenho adequado à prossecução deste estudo em amostras reais.

Video lectures and online activities to engage students in a flipped classroom

In recent years there have been several proposals for alternative pedagogical practices. Most of these proposals are based in the, so called, “active learning”, in opposition to the common “passive learning”, which is centered on transmission of information inside classrooms as well as recognized as teacher-centered procedure. In an active learning pedagogical structure, students have a more participative role in the overall learning/teaching process, being encouraged to face new learning challenges like, for instance, solving problems and developing projects, in an autonomous approach trying to make them, consequently, able to build their own knowledge. The flipped or “inverted” classroom is one of these active learning pedagogical methodologies that emphasizes a learner-centered instruction. According to this approach, the first contact that students have with the content on a particular curriculum subject is not transmitted by the lecturer in the classroom, this teaching strategy requires students to assess and analyze the specific subject before attending to class, therefore the informational component from the lecture is the homework, and class time is dedicated to exercises and assignments, always with support from the instructor, who acts as a facilitator, helping students when needed and offering supplementary explanation as required. The main objective of this paper is to discuss and explore how the use of different types of instructional videos and online activities may be implemented in the flipped classroom procedure (as means of incorporating new content and teaching new competencies) and to describe students’ perceptions of this approach within a course in a Higher Education Institution (HEI), presenting some positive and negative features of this pedagogical practice.

Determinantes do bem-estar subjetivo na pessoa idosa

Introdução: O Bem-Estar Subjetivo, enquadrado no âmbito da intervenção da Psicologia positiva, refere-se à experiência individual e subjetiva da avaliação da vida, e inclui variáveis como a satisfação com a vida e a vivência de afetos positivos em detrimento dos afetos negativos. Considerando que o bem-estar subjetivo está associado à saúde e longevidade, o objetivo central deste estudo consiste em analisar o modo como determinadas variáveis de contexto sociodemográfico, familiar, clínico e psicossocial se revelam preditoras do bem-estar subjectivo em idosos institucionalizados versus não institucionalizados. Métodos: Realizou-se um estudo de natureza quantitativa, descritivo-correlacional e transversal, com recurso a uma amostra não probabilística, acidental e por conveniência, composta por 116 idosos, 58 não institucionalizados e 58 institucionalizados, maioritariamente do género feminino (60,3%), viúvos (42,3%), com uma média de idades de 77,73 anos (Dp=9,276). O instrumento de colheita de dados incorporou uma ficha de caraterização sociodemográfica, situacional, familiar (Escala de Apgar Familiar), clínico – funcional (Índice de Barthel) e a avaliação do Bem-Estar Subjetivo (Escala de Satisfação com a vida e a Escala de Afetos Positivos e Negativos). Resultados: Constatamos que, os idosos não institucionalizados apresentam níveis de BES mais elevados face aos idosos institucionalizados (p=0,023), com maior significância estatística na dimensão afetiva. Em relação aos determinantes do BES objetivou-se que, são os idosos “mais jovens” (p=0,015), do género masculino (p=0,000), com nível de escolaridade mais elevado (p=0,032), inseridos em famílias funcionais (p=0,010), que percecionam melhor estado de saúde (p=0,000) e que são mais autónomos na realização das suas ABVD’s (p=0,000) a apresentar níveis de bem-estar subjetivo mais elevado. Conclusão: As evidências encontradas neste estudo revelaram a existência de fatores determinantes na perceção do BES pela pessoa idosa daí a importância de planeamento e implementação de projetos direcionados à manutenção da autonomia, à diminuição das limitações, à maximização de potencialidades individuais, à promoção de relações interpessoais. Neste sentido, atendendo às competências do enfermeiro especialista de enfermagem de reabilitação, seria de extrema importância a incorporação deste profissional especializado nas Instituições e em equipas multidisciplinares de apoio a idosos na Comunidade. Palavras-chave: idoso, Bem – Estar Subjetivo, satisfação com a vida, afetos, determinantes.

Development Of Interpersonal Relationships in Global Virtual Teams

This study investigates the development of relationships in same global virtual team working on different projects. The purpose is to explore how do interpersonal relationships develop in terms of characteristics of virtuality and if there is any influence of project lifespan on the development of these relationships. Since relationships are dynamic in nature and are influenced by multiple levels of variables including individual, group and organizational level, therefore characteristics of virtuality have been considered from all these aspects so as to study their influence on development of relationships. In this study, relationships have been studied at two different levels. At first, dyadic relationships between two members of a GVT have been analyzed and thereafter, focus has been on the development of relationships among the team, based on these dyads. Characteristics having influence on development of relationships include trust, physical distance, time zone difference, cultural and language differences, level of formalization in the organization and means of communication used by team members. Level of formalization and means of communication are two characteristics which emerged after empirical study and are found to have direct influence on development of relationships. Remaining characteristics have been identified through literature review. In order to conduct the study, qualitative methodology has been applied. Empirical data has been collected based on a single case study while using semi-structured interviews as data gathering technique. Data analysis has been performed by applying thematic analysis along with the utilization of company documents such as work sheets, minutes of meetings and recordings of conferences. Findings of the study indicate that development of relationships, both at dyadic level and team level, is influenced by different events taking place among different members of GVT. These events have either positive or negative influence on the characteristics of virtuality, which leads to development of the relationships. It has been found that, trust, among all factors plays a greater role in development of these relations. Contrary to the belief that most conflicts arise among members of different cultures, they are equally likely to happen among the members from same culture in GVT environment. Study suggests that relationship development is not a smooth process but it fluctuates based on different events in teams. For further research, teams within large firms shall be studied along these lines. This study is an early attempt towards bringing different characteristics of virtuality together which previously, have been studied individually. It is therefore plausible to conduct similar studies so as to generalize the findings of this study which has provided a starting point.

Multi-class sentiment analysis using a hierarchical logistic model tree approach

En este trabajo se propone un nuevo sistema híbrido para el análisis de sentimientos en clase múltiple basado en el uso del diccionario General Inquirer (GI) y un enfoque jerárquico del clasificador Logistic Model Tree (LMT). Este nuevo sistema se compone de tres capas, la capa bipolar (BL) que consta de un LMT (LMT-1) para la clasificación de la polaridad de sentimientos, mientras que la segunda capa es la capa de la Intensidad (IL) y comprende dos LMTs (LMT-2 y LMT3) para detectar por separado tres intensidades de sentimientos positivos y tres intensidades de sentimientos negativos. Sólo en la fase de construcción, la capa de Agrupación (GL) se utiliza para agrupar las instancias positivas y negativas mediante el empleo de 2 k-means, respectivamente. En la fase de Pre-procesamiento, los textos son segmentados por palabras que son etiquetadas, reducidas a sus raíces y sometidas finalmente al diccionario GI con el objetivo de contar y etiquetar sólo los verbos, los sustantivos, los adjetivos y los adverbios con 24 marcadores que se utilizan luego para calcular los vectores de características. En la fase de Clasificación de Sentimientos, los vectores de características se introducen primero al LMT-1, a continuación, se agrupan en GL según la etiqueta de clase, después se etiquetan estos grupos de forma manual, y finalmente las instancias positivas son introducidas a LMT-2 y las instancias negativas a LMT-3. Los tres árboles están entrenados y evaluados usando las bases de datos Movie Review y SenTube con validación cruzada estratificada de 10-pliegues. LMT-1 produce un árbol de 48 hojas y 95 de tamaño, con 90,88% de exactitud, mientras que tanto LMT-2 y LMT-3 proporcionan dos árboles de una hoja y uno de tamaño, con 99,28% y 99,37% de exactitud,respectivamente. Los experimentos muestran que la metodología de clasificación jerárquica propuesta da un mejor rendimiento en comparación con otros enfoques prevalecientes.

Types of embedded ties in buyer-supplier relationships and their combined effects on innovation performance

[EN] Purpose of the paper - This research analyzes the impact of three types of embedded ties, namely, specialized complementary resources, idiosyncratic investments, and knowledge sharing, on the innovation capacity of the firms. We also study the particularities of the Machine-Tool industry. Theoretical background – Our evaluation of the embedded buyer-supplier ties is based on the potential sources of relational rents proposed by Dyer and Sing (1998). We also draw on Uzzi and Lancaster (2003), Noordhoff et al. (2011), among others, to discuss the positive and negative aspects of embedded ties. Design/Methodology/Approach ‐ Using data from a survey of 202 European machine-tool firms acting as buyers and sellers, we propose and evaluate a Structural Equation model. Findings ‐ Only knowledge-sharing routines exert a significant positive effect on product innovation performance. Neither an increase in the idiosyncratic investments nor in complementary resources and capabilities enhance innovation performance. Also, knowledge-sharing routines mediate in the effect from idiosyncratic investments on innovation performance. Research Limitations. ‐ The machine tool industry has unique characteristics that make this generalization difficult. Also, there is considerable difficulty associated with testing more deeply the interrelations among these embedded ties in the long run. It is plausible to understand that these interrelations operate within a gradual process. Originality/Value/Contribution of Paper ‐ This research contributes to a better understanding of the role of embedded ties on innovativeness. To the best of our knowledge, there is no previous international empirical research analyzing the mediation effects among specialized complementary resources, idiosyncratic investments and knowledge sharing, and their effects on the innovation capacity of firms.

Analysis and Visualisation of Crowd-sourced Tourism Data

C3S2E '16 Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering

Africans in Scotland: heterogeneity and sensitivities to HIV

Aim: To investigate how diversity within the African migrant population in Scotland affects their understandings of HIV and uptake of HIV testing and treatment, in order to improve HIV-related outcomes. Background: In the UK, Africans have the worst outcomes for HIV infection, primarily due to late diagnosis. Improvement requires better understanding of the barriers to healthcare engagement. This PhD study investigates how diversity among first generation African migrants in Scotland could affect engagement with general healthcare and HIV related interventions and services. Methods: I conducted qualitative research, involving participant observation at two sites (an African religious group and an asylum seeker/refugee drop-in centre) and interviews with African migrants attending these and three additional sites (two advocacy charities and a student association). Data were collected in two cities (Glasgow and Edinburgh) and two smaller towns (Paisley and Kirkcaldy). I interviewed 27 Africans, including economic migrants (n=8), students (n=9) and asylum seeker/refugees (n=10) and 14 representatives from organisations with high levels of African attendees (e.g., country associations, community organisations, advocacy groups, commercial establishments and religious based organisations). Thematic data analysis was carried out. Results: Diversity of the population and related issues of identity: Participants were highly diverse and reported considerable heterogeneity in the African diaspora in Scotland. The identity of “African” was bound with various negative stereotypes and appeals to this identity did not necessarily have relevance for participants. Nature of African affiliated organisations in Scotland: There were a wide range of organisations that advertised their remit as catering for the African diaspora. They varied in consistency and sustainability and contributed towards healthcare engagement to different degrees. Engagement with healthcare: There were multiple experiences and understandings of the healthcare system within the sample as a whole, and to an extent by migrant type. Whilst the majority reported successful and satisfactory service use, distinct barriers emerged. These included: understandings of rights and access to care based on African models of healthcare; the interplay of religious based understandings with ideas about access to healthcare; and assumptions and anxiety about the connections between visa status and health status. Knowledge of HIV and engagement with HIV related services: Participants had good knowledge about HIV, with some notable exceptions, but there was no patterning by migrant type. They had diverse views about risk of HIV infection, most of which did not align with the HIV epidemiology that identifies African migrants as an at risk group. Most of the sample did not think targeting African migrants for HIV interventions would be successful and were hostile to the proposal for various reasons, especially because they believed it would perpetuate stigma and prejudice towards the African diaspora. There were mixed experiences of HIV related services, and prompts to test for HIV had elicited a range of reactions, the majority negative. Conclusion: Diversity within the African diaspora in Scotland should be taken into account to improve the salience and relevance of future HIV interventions. Attitudes towards current HIV testing promotion suggest that a more cooperative approach could be taken with African communities to build on existing relationships of trust and understandings of HIV.

La divination par les sorts dans le monde oriental méditerranéen du IIe au VIe siècle après J.-C. : étude comparative des sortes Homericae, sortes Astrampsychi et tables d'astragalomancie en Asie mineure

Cette thèse se propose de comparer exhaustivement trois systèmes de divination par voie de tirage au sort qui ont été contemporains dans l’antiquité tardive. À l’aide d’une analyse rigoureuse des thèmes évoqués, des stratégies rhétoriques employées, du vocabulaire présent et des probabilités d’obtention des réponses offertes, plusieurs points communs ressortent. Les énoncés positifs et négatifs se veulent, dans tous les cas, équilibrés et ils optent souvent pour des variantes temporelles afin de tempérer les prédictions. Lorsqu’ils ne s’appliquent pas à des questions spécifiques, ils misent sur l’imaginaire des consultations littéraires qui allie proverbes et éléments épiques, sans toutefois déroger des thèmes communs liés aux préoccupations quotidiennes des consultants. La rhapsodomancie s’inscrit dans cette mouvance et prouve à quel point l’épopée est une source propice à l’élaboration de systèmes oraculaires, sans jamais que le contexte narratif et littéraire des vers sélectionnés n’entre en jeu.