Informe d'Autors UOC a ISI Web of Knowledge. Agost 2014

UOC

Informe d'Autors UOC a ISI Web of Knowledge. Setembre 2014

UOC

International STakeholder NETwork (ISTNET): creating a developmental neurotoxicity (DNT) testing road map for regulatory purposes.

A major problem in developmental neurotoxicity (DNT) risk assessment is the lack of toxicological hazard information for most compounds. Therefore, new approaches are being considered to provide adequate experimental data that allow regulatory decisions. This process requires a matching of regulatory needs on the one hand and the opportunities provided by new test systems and methods on the other hand. Alignment of academically and industrially driven assay development with regulatory needs in the field of DNT is a core mission of the International STakeholder NETwork (ISTNET) in DNT testing. The first meeting of ISTNET was held in Zurich on 23-24 January 2014 in order to explore the concept of adverse outcome pathway (AOP) to practical DNT testing. AOPs were considered promising tools to promote test systems development according to regulatory needs. Moreover, the AOP concept was identified as an important guiding principle to assemble predictive integrated testing strategies (ITSs) for DNT. The recommendations on a road map towards AOP-based DNT testing is considered a stepwise approach, operating initially with incomplete AOPs for compound grouping, and focussing on key events of neurodevelopment. Next steps to be considered in follow-up activities are the use of case studies to further apply the AOP concept in regulatory DNT testing, making use of AOP intersections (common key events) for economic development of screening assays, and addressing the transition from qualitative descriptions to quantitative network modelling.

Yhteistoiminnan ja tiedon jakamisen kehittäminen

Tässä tutkimustyössä on tavoitteena tutkia UPM-Kymmene Wood Oy:n vaneriliiketoimintaorganisaation lähtölogistiikka- ja myyntiosaston tiedon jakamisen ja yhteistoiminnan nykytilaa ja kartoittaa osastojen tiedontarpeita yhteistoimintaan liittyen. Työn tavoitteena on tämän jälkeen antaa kohdeosastoille ehdotuksia toimenpiteistä ja teknologisista ratkaisuista toiminnan parantamiseen. Työssä esitetään aluksi tietoon ja sen jakamiseen liittyviä käsitteitä. Tämän jälkeen tekstissä luodaan katsaus liiketoimintatietoon ja sen hallintaan. Lisäksi tutkimuksessa tarkastellaan tutkimuksen kohteena olevaa organisaatiota ja kohdeosastoja. Haastatteluiden ja havainnoinnin avulla kerätyn tutkimusaineiston perusteella kohdeosastojen välillä vaihdetaan nykytilassa paljon erilaista asiakkaisiin ja markkinoihin liittyvää tietoa. Tiedon jakaminen ja vaihto perustuu kuitenkin nykytilassa hyvin vahvasti säännöllisen yhteistoiminnan sijaan erillisesti ilmaistuihin tietotarpeisiin. Haastatteluiden perusteella kohdeosastoissa on havaittavissa myös parannustarpeita nykyiseen tiedonkulkuun ja tiedon jakamiseen verrattuna. Annetut kehitysehdotukset koskevat yhteistoiminnan muuntamista säännölliseksi ja keskustelevaksi, olemassa olevien tietojen tehokkaammasta jakamisesta ja nykyisten tietohallintajärjestelmien hyödyntämisestä yhteistoiminnassa uusien järjestelmien luomisen sijaan.

Swiss family physicians' perceptions and attitudes towards knowledge translation practices.

BACKGROUND: Several studies have been performed to understand the way family physicians apply knowledge from medical research in practice. However, very little is known concerning family physicians in Switzerland. In an environment in which information constantly accumulates, it is crucial to identify the major sources of scientific information that are used by family physicians to keep their medical knowledge up to date and barriers to use these sources. Our main objective was to examine medical knowledge translation (KT) practices of Swiss family physicians. METHODS: The population consisted of French- and German-speaking private practice physicians specialised in family medicine. We conducted four interviews and three focus groups (n = 25). The interview guides of the semi-structured interviews and focus groups focused on (a) ways and means used by physicians to keep updated with information relevant to clinical practice; (b) how they consider their role in translating knowledge into practice; (c) potential barriers to KT; (d) solutions proposed by physicians for effective KT. RESULTS: Family physicians find themselves rather ambivalent about the translation of knowledge based on scientific literature, but generally express much interest in KT. They often feel overwhelmed by "information floods" and perceive clinical practice guidelines and other supports to be of limited usefulness for their practice. They often combine various formal and informal information sources to keep their knowledge up to date. Swiss family physicians report considering themselves as artisans, caring for patients with complex needs. CONCLUSION: Improved performance of KT initiatives in family medicine should be tailored to actual needs and based on high quality evidence-based sources.

Creating customer relationship management concept for engineering and service business

Customer relationship management has been one essential part of marketing for over 20 years. Today’s business environment is fast changing, international and highly competitive, and that is why the most important factor for long-term profitability is one-to-one customer relationships. However, managing relationships and serving customers that are profitable has been always challenging. In this thesis the objective was to define the main obstacles that the case company must overcome to succeed in CRM. Possible solutions have also been defined. The main elements of the implementation i.e. people, processes and technologies, can clearly be found behind these matters and solutions. This thesis also presents theoretical information about CRM and it is meant to act as a guide book inside the organisation to spread information about CRM for those who are not so familiar with the topic.

A Dependency Parsing Approach to Biomedical Text Mining

Biomedical research is currently facing a new type of challenge: an excess of information, both in terms of raw data from experiments and in the number of scientific publications describing their results. Mirroring the focus on data mining techniques to address the issues of structured data, there has recently been great interest in the development and application of text mining techniques to make more effective use of the knowledge contained in biomedical scientific publications, accessible only in the form of natural human language. This thesis describes research done in the broader scope of projects aiming to develop methods, tools and techniques for text mining tasks in general and for the biomedical domain in particular. The work described here involves more specifically the goal of extracting information from statements concerning relations of biomedical entities, such as protein-protein interactions. The approach taken is one using full parsing—syntactic analysis of the entire structure of sentences—and machine learning, aiming to develop reliable methods that can further be generalized to apply also to other domains. The five papers at the core of this thesis describe research on a number of distinct but related topics in text mining. In the first of these studies, we assessed the applicability of two popular general English parsers to biomedical text mining and, finding their performance limited, identified several specific challenges to accurate parsing of domain text. In a follow-up study focusing on parsing issues related to specialized domain terminology, we evaluated three lexical adaptation methods. We found that the accurate resolution of unknown words can considerably improve parsing performance and introduced a domain-adapted parser that reduced the error rate of theoriginal by 10% while also roughly halving parsing time. To establish the relative merits of parsers that differ in the applied formalisms and the representation given to their syntactic analyses, we have also developed evaluation methodology, considering different approaches to establishing comparable dependency-based evaluation results. We introduced a methodology for creating highly accurate conversions between different parse representations, demonstrating the feasibility of unification of idiverse syntactic schemes under a shared, application-oriented representation. In addition to allowing formalism-neutral evaluation, we argue that such unification can also increase the value of parsers for domain text mining. As a further step in this direction, we analysed the characteristics of publicly available biomedical corpora annotated for protein-protein interactions and created tools for converting them into a shared form, thus contributing also to the unification of text mining resources. The introduced unified corpora allowed us to perform a task-oriented comparative evaluation of biomedical text mining corpora. This evaluation established clear limits on the comparability of results for text mining methods evaluated on different resources, prompting further efforts toward standardization. To support this and other research, we have also designed and annotated BioInfer, the first domain corpus of its size combining annotation of syntax and biomedical entities with a detailed annotation of their relationships. The corpus represents a major design and development effort of the research group, with manual annotation that identifies over 6000 entities, 2500 relationships and 28,000 syntactic dependencies in 1100 sentences. In addition to combining these key annotations for a single set of sentences, BioInfer was also the first domain resource to introduce a representation of entity relations that is supported by ontologies and able to capture complex, structured relationships. Part I of this thesis presents a summary of this research in the broader context of a text mining system, and Part II contains reprints of the five included publications.

Knowledge Management diskurssina suomalaisissa terveydenhuoltoalan tieteellisissä ja ammatillisissa lehdissä

Abstract: Knowledge Management as a discourse in Finnish scientific and professional journals on the health care field

Creating and organizing an "English class" in primary education: The role of teacher talk in the EFL amd CLIL Classes

Catalonia is a bilingual country where the presence of English in the social context is small; the amount of input received by the primary education pupils is very little and this input mainly comes from the English lessons at school. Consequently, this situation combined with the increasing demand for English and the fact that the new generations want to become communicatively competent in English place the role of English teachers in a relevant position. This research project analyses the role of the English teacher talk; in particular, the study focuses on the teacher’s oral productions in foreign language lessons (EFL) and in content-based lessons (CLIL).

Informe d'Autors UOC a ISI Web of Knowledge. Octubre 2014

UOC

The knowledge about diagnostic imaging methods among primary care and medical emergency physicians

Objective To evaluate the knowledge about diagnostic imaging methods among primary care and medical emergency physicians. Materials and Methods Study developed with 119 primary care and medical emergency physicians in Montes Claros, MG, Brazil, by means of a structured questionnaire about general knowledge and indications of imaging methods in common clinical settings. A rate of correct responses corresponding to ≥ 80% was considered as satisfactory. The Poisson regression (PR) model was utilized in the data analysis. Results Among the 81 individuals who responded the questionnaire, 65% (n = 53) demonstrated to have satisfactory general knowledge and 44% (n = 36) gave correct responses regarding indications of imaging methods. Respectively, 65% (n = 53) and 51% (n = 41) of the respondents consider that radiography and computed tomography do not use ionizing radiation. The prevalence of a satisfactory general knowledge about imaging methods was associated with medical residency in the respondents' work field (PR = 4.55; IC 95%: 1.18-16.67; p-value: 0.03), while the prevalence of correct responses regarding indication of imaging methods was associated with the professional practice in primary health care (PR = 1.79; IC 95%: 1.16-2.70; p-value: 0.01). Conclusion Major deficiencies were observed as regards the knowledge about imaging methods among physicians, with better results obtained by those involved in primary health care and by residents.