906 resultados para Content analysis (Communication) -- Data processing


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This study explores (1) the reasons that lead Portuguese companies to use expatriates and (2) the motivations that led the repatriates to accepting an international assignment. Semistructured interviews were carried out on 44 individuals (14 responsible for organizational management of the expatriates and 30 repatriates), in seven international companies based in Portugal, and analysis of the thematic content was conducted for data processing. Results suggest that the reasons that lead Portuguese companies to expatriating employees are connected to business needs and the control of international operations, while individual motivations are linked to personal and professional ambition, the will to serve the company and organizational pressure. We concluded that Portuguese companies, like most European companies, seem to develop a strategy of International Human Resources Management (IHRM) according to an ethnocentric approach, characteristic to companies in early stages of internationalization. Similarly, the main motivations of Portuguese repatriates are identical to those of other expatriates, though the will to serve the company seems to be more valued by Portuguese repatriates than by expatriates from other countries.

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O presente estudo partiu do problema “Como promover aprendizagens da Matemática e do Estudo do Meio numa perspetiva interdisciplinar, explorando o mundo real?”. Neste sentido, tem como objetivos: selecionar recursos e atividades que se revelem motivadoras para os alunos; demonstrar a relevância da inter-relação de diferentes conceitos e a importância da sua ligação com as vivências dos alunos; ativar o envolvimento dos alunos para a aprendizagem da Matemática através do Estudo do meio e de situações do mundo real; estimular a perceção do aluno da presença da Matemática nos conteúdos de Estudo do Meio; fomentar a compreensão da relação dos conteúdos de Matemática e estudo do Meio. Com este propósito formularam-se as seguintes questões: (1) Que tipo de atividades se poderão proporcionar de forma a motivar os alunos para os conteúdos do Estudo do Meio e da Matemática? (2) De que forma a exploração das situações/conceções do quotidiano poderá promover o envolvimento dos alunos na aprendizagem da Matemática e do Estudo do Meio? (3) De que forma o Ensino Experimental das Ciências numa perspetiva interdisciplinar pode contribuir para desenvolver tanto as competências conceptuais (fatores do ambiente: temperatura e humidade/OTD/números racionais), como capacidades de pensamento crítico e tomada de decisão inerente? Tendo em vista os objetivos do estudo, desenvolveram-se, com uma turma do 2º ano de escolaridade, quatro situações formativas, que envolveram as disciplinas de Matemática e Estudo do Meio. O domínio de conteúdos preponderante na área de Estudo do Meio foi À descoberta do Ambiente Natural, enquanto na Matemática os domínios predominantes foram Organização e tratamento de dados e Números e operações. Foram realizadas diversas atividades experimentais, onde os alunos tiveram um papel ativo na construção dos seus conhecimentos. A investigação segue uma metodologia qualitativa, centrando-se num estudo de caso, onde se caracteriza uma experiência interdisciplinar que envolveu as disciplinas de Matemática e Estudo do Meio. Os dados foram recolhidos pela professora investigadora através de gravações de vídeo e áudio, fotografias, trabalhos dos alunos e de registos da professora investigadora. Os resultados demonstraram como os alunos mobilizaram e apropriaram os conteúdos de Matemática e Estudo do Meio. Os dados, através da análise de conteúdo, parecem iv sugerir que houve uma evolução no desempenho dos alunos a vários níveis, nomeadamente: no trabalho cooperativo, no envolvimento da tarefa, nas interações estabelecidas e na motivação para a aprendizagem da Matemática e Estudo do Meio.

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática

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Stratigraphic Columns (SC) are the most useful and common ways to represent the eld descriptions (e.g., grain size, thickness of rock packages, and fossil and lithological components) of rock sequences and well logs. In these representations the width of SC vary according to the grain size (i.e., the wider the strata, the coarser the rocks (Miall 1990; Tucker 2011)), and the thickness of each layer is represented at the vertical axis of the diagram. Typically these representations are drawn 'manually' using vector graphic editors (e.g., Adobe Illustrator®, CorelDRAW®, Inskape). Nowadays there are various software which automatically plot SCs, but there are not versatile open-source tools and it is very di cult to both store and analyse stratigraphic information. This document presents Stratigraphic Data Analysis in R (SDAR), an analytical package1 designed for both plotting and facilitate the analysis of Stratigraphic Data in R (R Core Team 2014). SDAR, uses simple stratigraphic data and takes advantage of the exible plotting tools available in R to produce detailed SCs. The main bene ts of SDAR are: (i) used to generate accurate and complete SC plot including multiple features (e.g., sedimentary structures, samples, fossil content, color, structural data, contacts between beds), (ii) developed in a free software environment for statistical computing and graphics, (iii) run on a wide variety of platforms (i.e., UNIX, Windows, and MacOS), (iv) both plotting and analysing functions can be executed directly on R's command-line interface (CLI), consequently this feature enables users to integrate SDAR's functions with several others add-on packages available for R from The Comprehensive R Archive Network (CRAN).

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Special issue guest editorial, June, 2015.

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Dissertação de mestrado em Design e Comunicação de Moda

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Dissertação de mestrado em Design de Comunicação de Moda

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The present diploma thesis analyses the German political understanding of social inequalities in health (SIH) among children and adolescents, and explores the political strategies that are perceived as most effective to tackle SIH. The study is based on the qualitative content analysis of official political documents developed at different political levels, which were the national level as well as two purposefully selected counties, Mecklenburg-Vorpommern and Niedersachsen. The study's findings indicate a beginning awareness of the existence of SIH in Germany. Nevertheless, this judgement refers to few publishing ministries only, both at national and county levels. The suggested approaches to tackle SIH vary significantly among the analysed documents, and no consensus can be identified with regard to the preference of upstream or downstream policies. The existence of the social gradient is not criticised in any of the analysed data. However, there seems to be a common agreement on the importance of setting related interventions and the contribution of both the national, regional, and local politic levels. As the absence of a central coordinator can explain these highly heterogeneous findings, key recommendations concern the establishment of a nation-wide coordinator and a nation-wide collection of best practice examples. Here, the Federal Centre for Health Education has an adequate position and the required competences to act as a coordinator and facilitator. Further requirements for a successful reduction of SIH in Germany are the extension of a continuous communication between all actors, the adoption of the planned German Prevention Law, and the nation-wide and early promotion of children as part of education policies in the federal states.

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This paper deals with the determination of the content of macronutrients in pulp and beans of three coffee varieties, namely 'Mundo Novo', 'Caturra Amarelo' and 'Bourbon Amarelo'. Samples were collected in plantations located in the three types of soils herein most of S. Paulo, Brazil, coffee is grown, that is, "terra roxa legítima" (Ribeirão Preto), "massapé-salmourão" (Mocóca), and "arenito de Bauru" (Pindorama). The following main conclusions were drawn after statistical analysis of data obtained hereby. There is no statistical difference among the three varieties . Average contents of macronutrients, as per cent of the dry matter, are the following: N P K Ca Mg S bean 1,71 0,10 1,53 0,27 0,15 0,12 pulps 1.78 0,14 3,75 0,41 0,13 0,15 Samples collected in Mocóca ("massapé-salmourão") had lower N and K contents, probably due to lack of availability of these elements in the soil, as suggested by its analysis. Results obtained in this work are in good agreement with data described elsewhere. Out of the total of elements contained in the whole fruit the following proportions are exported as clean coffee: N - 2/3, P and K - 1/2, Ca, Mg and S - 1/3. It is clear therefore that a substantial amount of elements absorbed from the soil remains in the pulp or in the dry hulls which result from processing. From this fact raises the interest of using these residues as fertilizer in the coffee plantations.

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Aquest treball de final de carrera vol fer una anàlisi de les necessitats de publicació de continguts i serveis a Internet d'un club d'escacs. Pel que fa a la implementació, l'objectiu es desenvolupar un portal web base, amb una tecnologia que permeti que el client pugui implementar la totalitat de les funcionalitats previstes en un futur.

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AIMS: To investigate empirically the hypothesized relationship between counsellor motivational interviewing (MI) skills and patient change talk (CT) by analysing the articulation between counsellor behaviours and patient language during brief motivational interventions (BMI) addressing at-risk alcohol consumption. DESIGN: Sequential analysis of psycholinguistic codes obtained by two independent raters using the Motivational Interviewing Skill Code (MISC), version 2.0. SETTING: Secondary analysis of data from a randomized controlled trial evaluating the effectiveness of BMI in an emergency department. PARTICIPANTS: A total of 97 patients tape-recorded when receiving BMI. MEASUREMENTS: MISC variables were categorized into three counsellor behaviours (MI-consistent, MI-inconsistent and 'other') and three kinds of patient language (CT, counter-CT (CCT) and utterances not linked with the alcohol topic). Observed transition frequencies, conditional probabilities and significance levels based on odds ratios were computed using sequential analysis software. FINDINGS: MI-consistent behaviours were the only counsellor behaviours that were significantly more likely to be followed by patient CT. Those behaviours were significantly more likely to be followed by patient change exploration (CT and CCT) while MI-inconsistent behaviours and 'other' counsellor behaviours were significantly more likely to be followed by utterances not linked with the alcohol topic and significantly less likely to be followed by CT. MI-consistent behaviours were more likely after change exploration, whereas 'other' counsellor behaviours were more likely only after utterances not linked with the alcohol topic. CONCLUSIONS: Findings lend support to the hypothesized relationship between MI-consistent behaviours and CT, highlight the importance of patient influence on counsellor behaviour and emphasize the usefulness of MI techniques and spirit during brief interventions targeting change enhancement.

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Compositional data naturally arises from the scientific analysis of the chemicalcomposition of archaeological material such as ceramic and glass artefacts. Data of thistype can be explored using a variety of techniques, from standard multivariate methodssuch as principal components analysis and cluster analysis, to methods based upon theuse of log-ratios. The general aim is to identify groups of chemically similar artefactsthat could potentially be used to answer questions of provenance.This paper will demonstrate work in progress on the development of a documentedlibrary of methods, implemented using the statistical package R, for the analysis ofcompositional data. R is an open source package that makes available very powerfulstatistical facilities at no cost. We aim to show how, with the aid of statistical softwaresuch as R, traditional exploratory multivariate analysis can easily be used alongside, orin combination with, specialist techniques of compositional data analysis.The library has been developed from a core of basic R functionality, together withpurpose-written routines arising from our own research (for example that reported atCoDaWork'03). In addition, we have included other appropriate publicly availabletechniques and libraries that have been implemented in R by other authors. Availablefunctions range from standard multivariate techniques through to various approaches tolog-ratio analysis and zero replacement. We also discuss and demonstrate a smallselection of relatively new techniques that have hitherto been little-used inarchaeometric applications involving compositional data. The application of the libraryto the analysis of data arising in archaeometry will be demonstrated; results fromdifferent analyses will be compared; and the utility of the various methods discussed

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This study is part of an ongoing collaborative effort between the medical and the signal processing communities to promote research on applying standard Automatic Speech Recognition (ASR) techniques for the automatic diagnosis of patients with severe obstructive sleep apnoea (OSA). Early detection of severe apnoea cases is important so that patients can receive early treatment. Effective ASR-based detection could dramatically cut medical testing time. Working with a carefully designed speech database of healthy and apnoea subjects, we describe an acoustic search for distinctive apnoea voice characteristics. We also study abnormal nasalization in OSA patients by modelling vowels in nasal and nonnasal phonetic contexts using Gaussian Mixture Model (GMM) pattern recognition on speech spectra. Finally, we present experimental findings regarding the discriminative power of GMMs applied to severe apnoea detection. We have achieved an 81% correct classification rate, which is very promising and underpins the interest in this line of inquiry.