921 resultados para cross-language information retrieval


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Valtion rajat ylittävät terveyspalvelut Euroopan unionissa sekä Euroopan unionin säädösten merkitys ja vaikutus erityisesti lääkejakeluun ja verenluovuttajille jaettavaan tiedotusaineistoon Valtion rajat ylittävä terveydenhuolto on suuren kiinnostuksen kohteena Euroopan unionissa. Resurssien hyödyntäminen parhaalla mahdollisella tavalla ja tiedon keskittäminen ovat tarpeen terveydenhuollon kustannusten alati noustessa. Terveydenhuoltopalvelut kuuluvat Euroopan sisämarkkinoiden vapaan liikkuvuuden piiriin. Euroopan unionilla ei ole kuitenkaan toimivaltaa säädellä terveydenhuoltojärjestelmiä, vaan sen mahdollisuudet ovat enimmäkseen kansanterveyden edistämisessä ja suojelussa, myös muilla toimialueilla kuin terveydenhuollossa. Tutkimuksen tavoitteena oli tutkia Euroopan unionin säädösten vaikutusta terveydenhuoltosektoriin, erityisesti valtion rajat ylittäviin terveydenhuoltopalveluihin. Erityiskohteena olivat lääkemääräyksen toimittaminen toisen Euroopan unionin jäsenmaan apteekista, resepti-lääkkeiden maahantuonti omaan henkilökohtaiseen käyttöön, sähköisen lääkemääräyksen käyttö kansallisesti ja mahdollisuudet sen käyttöön eri jäsenmaiden välillä, online-apteekkien soveltuvuus Euroopan unionin sisämarkkinoille sekä verenluovuttajille jaettavan tiedotusaineiston yhtenäistämistarve Euroopan unionin alueella. Tutkimuksen osa-alueiden aineisto koottiin vuosina 1999–2003, jolloin Euroopan unioniin kuului 15 jäsenmaata. Apteekit toimittivat useimmiten myös ei-kansalliset, toisessa Euroopan unionin jäsenmaassa annetut lääkemääräykset. Kaikki jäsenmaat rajoittivat lääkemääräyksen vaativien lääkkeiden maahantuontia. Rajoituksia oli maahantuontimäärissä ja -tavoissa. Lisäksi sairasvakuutuskorvausten saaminen ulkomailla lunastetuista reseptilääkkeistä oli hankalaa. Sähköiset lääkemääräykset olivat käytössä vain kahdessa maassa, mutta useissa maissa suunniteltiin niiden kokeilua. Standardit ja käyttöjärjestelmät olivat erilaisia eri maissa. Euroopan unionin alueelle on perustettu online-apteekkeja, joiden toiminta on kuitenkin vaatimatonta. Verenluovuttajille annettava tiedotusaineisto ei missään maassa täyttänyt veridirektiivin vaatimuksia. Tutkimuksen tulokset osoittivat kansallisten käytäntöjen eroavaisuuksien rajoittavan valtion rajat ylittäviä terveydenhuoltopalveluita. Vaikka Euroopan unionin tavoitteena ei ole yhtenäistää terveydenhuoltojärjestelmiä, on tarpeen arvioida uudelleen unionin ja jäsenmaiden välistä työnjakoa. Kansalliset terveydenhuoltojärjestelmät eivät ole erillään Euroopan sisämarkkinoista, jotka merkittävästi vaikuttavat terveydenhuoltoon.

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Diplomityön tarkoituksena oli arvioida akvisition jälkeistä integraatioprosessia. Integraation tarkoitus on mukauttaa ostettu yritys toimivaksi osaksi konsernia. Työn empiirisenä ongelmana oli yleisesti tunnustettu integraatiojohtamisen kompleksisuus. Samoin myöskin akateemisesta kirjallisuudesta puuttui koherentti malli, jolla arvioida integraatiota. Tutkimuskohteena oli akvisitio, jossa suomalainen tietotekniikkan suuryritys osti osake-enemmistön tsekkiläisestä keskisuuresta ohjelmistoyrityksestä. Tutkimuksessa generoitiin integraatiojohtamisen malli tietopohjaiseen organisaatioon. Mallin mukaan integraatio koostuu kolmesta eriävästä, mutta toisiaan tukevasta alueesta: organisaatiokulttuurin yhdentyminen, tietopääoman tasaaminen ja konsernin sisäisten prosessien yhdenmukaistaminen. Näistä kaksi kaksi jälkimmäistä ovat johdettavissa, mutta kulttuurin yhdentymiseen integraatiojohtamisella voidaan vaikuttaa vain katalysoivasti. Organisaatiokulttuuri levittäytyy vain osallisten vuorovaikuksien kautta. Lisäksi tutkimus osoitti, miten akvisitio on revolutionaarinen vaihe yrityksen kehityksessä. Integraation ensimmäinen ajanjakso on revolutionaarista. Tällöin suurimmat ja näkyvimmät johdettavat muutokset pyritään saamaan aikaan, jotta integraatiossa edettäisiin evolutionaariseen kehitykseen. Revolutionaarisen intergaation vetojuhtana toimii integraatiojohto, kun taas evolutionaarinen integraatio etenee osallisten (organisaation jäsenten) itsensä toiminnan ja vuorovaikutusten kautta.

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During the process of language development, one of the most important tasks that children must face is that of identifying the grammatical category to which words in their language belong. This is essential in order to be able to form grammatically correct utterances. How do children proceed in order to classify words in their language and assign them to their corresponding grammatical category? The present study investigates the usefulness of phonological information for the categorization of nouns in English, given the fact that it is phonology the first source of information that might be available to prelinguistic infants who lack access to semantic information or complex morphosyntactic information. We analyse four different corpora containing linguistic samples of English speaking mothers addressing their children in order to explore the reliability with which words are represented in mothers’ speech based on several phonological criteria. The results of the analysis confirm the prediction that most of the words to which English learning infants are exposed during the first two years of life can be accounted for in terms of their phonological resemblance

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Machine learning provides tools for automated construction of predictive models in data intensive areas of engineering and science. The family of regularized kernel methods have in the recent years become one of the mainstream approaches to machine learning, due to a number of advantages the methods share. The approach provides theoretically well-founded solutions to the problems of under- and overfitting, allows learning from structured data, and has been empirically demonstrated to yield high predictive performance on a wide range of application domains. Historically, the problems of classification and regression have gained the majority of attention in the field. In this thesis we focus on another type of learning problem, that of learning to rank. In learning to rank, the aim is from a set of past observations to learn a ranking function that can order new objects according to how well they match some underlying criterion of goodness. As an important special case of the setting, we can recover the bipartite ranking problem, corresponding to maximizing the area under the ROC curve (AUC) in binary classification. Ranking applications appear in a large variety of settings, examples encountered in this thesis include document retrieval in web search, recommender systems, information extraction and automated parsing of natural language. We consider the pairwise approach to learning to rank, where ranking models are learned by minimizing the expected probability of ranking any two randomly drawn test examples incorrectly. The development of computationally efficient kernel methods, based on this approach, has in the past proven to be challenging. Moreover, it is not clear what techniques for estimating the predictive performance of learned models are the most reliable in the ranking setting, and how the techniques can be implemented efficiently. The contributions of this thesis are as follows. First, we develop RankRLS, a computationally efficient kernel method for learning to rank, that is based on minimizing a regularized pairwise least-squares loss. In addition to training methods, we introduce a variety of algorithms for tasks such as model selection, multi-output learning, and cross-validation, based on computational shortcuts from matrix algebra. Second, we improve the fastest known training method for the linear version of the RankSVM algorithm, which is one of the most well established methods for learning to rank. Third, we study the combination of the empirical kernel map and reduced set approximation, which allows the large-scale training of kernel machines using linear solvers, and propose computationally efficient solutions to cross-validation when using the approach. Next, we explore the problem of reliable cross-validation when using AUC as a performance criterion, through an extensive simulation study. We demonstrate that the proposed leave-pair-out cross-validation approach leads to more reliable performance estimation than commonly used alternative approaches. Finally, we present a case study on applying machine learning to information extraction from biomedical literature, which combines several of the approaches considered in the thesis. The thesis is divided into two parts. Part I provides the background for the research work and summarizes the most central results, Part II consists of the five original research articles that are the main contribution of this thesis.

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Objective The objective of the study is to describe the process of translation and cross-cultural adaptation of the Lymphoedema Functioning, Disability, and Health Questionnaire for Lower Limb Lymphoedema (Lymph-ICF-LL) into (Brazilian) Portuguese. Methods The process was comprised of five steps - translation, back translation, revision by an expert panel, pretest, and final translation. The first translation was performed by two professionals of the healthcare area, and the back translation was performed by two translators. An expert panel assessed the questions for semantics and idiomatic, cultural, and conceptual equivalence. The pretest was conducted on 10 patients with lymphedema. Results Small differences were identified between the translated and back-translated versions, which were revised by the expert panel. The patients included in the pretest found 10 questions difficult to understand; these questions were reassessed by the same expert panel. Conclusion The results of the translation and cross-cultural adaptation of the Lymph- ICF-LL resulted in a Brazilian Portuguese version, which still requires validation with various samples of the local population.

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This thesis presents the results of an analysis of the content in the series of Russian textbooks Kafe Piter, which is widely used in Finnish educational institutions for adult learners at the time that the research is conducted. The purpose of this study is to determine and describe how a textbook may purvey an image of a foreign country (in this case, Russia). Mixed-methods research with a focus on the qualitative content analysis of Kafe Piter is performed. The guidelines for textbook evaluation of cultural content proposed by Byram (1993) are used in this study as the basis for creating a qualitative analysis checklist, which is adopted according to the needs of the current research. The selection of the categories in the checklist is based on major themes where direct statements about Russia, Russian people and culture appear in the textbook. The cultural content and the way in which it is presented in Kafe Piter are also compared to the intercultural competence objectives of the Common European Framework of Reference for Languages. Because the textbook was not written by a native Russian speaker, it was also important to investigate the types of mistakes found in the books. A simple quantitative analysis in the form of descriptive statistics was done, which consisted of counting the mistakes and inaccuracies in Kafe Piter. The mistakes were categorized into several different groups: factual or cultural, lexicosemantic, grammatical, spelling and punctuation mistakes. Based on the results, the cultural content of Kafe Piter provides a rich variety of cultural information that allows for a good understanding of the Russian language and Russian culture. A sufficient number of cross-cultural elements also appear in the textbook, including cultural images and information describing and comparing Russian and Finnish ways of life. Based on the cultural topics covered in Kafe Piter, we conclude that the textbook is in line with the intercultural competence objectives set out in the Common European Framework of Reference for Languages. The results of the study also make it clear that a thorough proofreading of Kafe Piter is needed in order to correct mistakes - more than 130 cultural and linguistic mistakes and inaccuracies appear in the textbook.

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This case study examines the impact of a computer information system as it was being implemented in one Ontario hospital. The attitudes of a cross section of the hospital staff acted as a barometer to measure their perceptions of the implementation process. With The Mississauga Hospital in the early stages of an extensive computer implementation project, the opportunity existed to identify staff attitudes about the computer system, overall knowledge and compare the findings with the literature. The goal of the study was to develop a greater base about the affective domain in the relationship between people and the computer system. Eight exploratory questions shaped the focus of the investigation. Data were collected from three sources: a survey questionnaire, focused interviews, and internal hospital documents. Both quantitative and qualitative data were analyzed. Instrumentation in the study consisted of a survey distributed at two points in time to randomly selected hospital employees who represented all staff levels.Other sources of data included hospital documents, and twenty-five focused interviews with staff who replied to both surveys. Leavitt's socio-technical system, with its four subsystems: task, structure, technology, and people was used to classify staff responses to the research questions. The study findings revealed that the majority of respondents felt positive about using the computer as part of their jobs. No apparent correlations were found between sex, age, or staff group and feelings about using the computer. Differences in attitudes, and attitude changes were found in potential relationship to the element of time. Another difference was found in staff group and perception of being involved in the decision making process. These findings and other evidence about the role of change agents in this change process help to emphasize that planning change is one thing, managing the transition is another.

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Background: Problems with lexical retrieval are common across all types of aphasia but certain word classes are thought to be more vulnerable in some aphasia types. Traditionally, verb retrieval problems have been considered characteristic of non-fluent aphasias but there is growing evidence that verb retrieval problems are also found in fluent aphasia. As verbs are retrieved from the mental lexicon with syntactic as well as phonological and semantic information, it is speculated that an improvement in verb retrieval should enhance communicative abilities in this population as in others. We report on an investigation into the effectiveness of verb treatment for three individuals with fluent aphasia. Methods & Procedures: Multiple pre-treatment baselines were established over 3 months in order to monitor language change before treatment. The three participants then received twice-weekly verb treatment over approximately 4 months. All pre-treatment assessments were administered immediately after treatment and 3 months post-treatment. Outcome & Results: Scores fluctuated in the pre-treatment period. Following treatment, there was a significant improvement in verb retrieval for two of the three participants on the treated items. The increase in scores for the third participant was statistically nonsignificant but post-treatment scores moved from below the normal range to within the normal range. All participants were significantly quicker in the verb retrieval task following treatment. There was an increase in well-formed sentences in the sentence construction test and in some samples of connected speech. Conclusions: Repeated systematic treatment can produce a significant improvement in verb retrieval of practised items and generalise to unpractised items for some participants. An increase in well-formed sentences is seen for some speakers. The theoretical and clinical implications of the results are discussed.

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In the emerging digital economy, the management of information in aerospace and construction organisations is facing a particular challenge due to the ever-increasing volume of information and the extensive use of information and communication technologies (ICTs). This paper addresses the problems of information overload and the value of information in both industries by providing some cross-disciplinary insights. In particular it identifies major issues and challenges in the current information evaluation practice in these two industries. Interviews were conducted to get a spectrum of industrial perspectives (director/strategic, project management and ICT/document management) on these issues in particular to information storage and retrieval strategies and the contrasting approaches to knowledge and information management of personalisation and codification. Industry feedback was collected by a follow-up workshop to strengthen the findings of the research. An information-handling agenda is outlined for the development of a future Information Evaluation Methodology (IEM) which could facilitate the practice of the codification of high-value information in order to support through-life knowledge and information management (K&IM) practice.