33 research outputs found

    To Make the World Smarter and Safer

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    У матеріалах подані тези XIV Всеукраїнської науково-практичної конференції студентів, аспірантів та викладачів Лінгвістичного навчально-методичного центру кафедри іноземних мов СумДУ. До збірника ввійшли наукові дослідження, присвячені актуальним проблемам сучасних інноваційних технологій та процесів у науці, техніці та різних сферах людської діяльності. Для молодих науковців, викладачів і студентів усіх факультеті

    To Make the World Smarter and Safer

    Get PDF
    У матеріалах подані тези XIV Всеукраїнської науково-практичної конференції студентів, аспірантів та викладачів Лінгвістичного навчально-методичного центру кафедри іноземних мов СумДУ. До збірника ввійшли наукові дослідження, присвячені актуальним проблемам сучасних інноваційних технологій та процесів у науці, техніці та різних сферах людської діяльності. Для молодих науковців, викладачів і студентів усіх факультеті

    At the cross-roads of english. The guide

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    Учебное пособие содержит теоретический материал по всем аспектам грамматики английского языка, изложенный в максимально доступной форме и снабженный блоками соответствующих упражнений. Специальный раздел посвящен лексико-грамматическому анализу профессиональных и научно-популярных текстов. Предназначен для аспирантов, научных работников, преподавателей, магистров и иностранных студентов.The text-book comprises theoretical material on all aspects of English grammar presented in the most apprehensible form and supplied with blocks of corresponding exercises. A special section is devoted to lexical and grammar analysis of professional and popular-science texts. The book is meant for post-graduates, scientists, teachers, masters and foreign student

    2008 IMSAloquium, Student Investigation Showcase

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    Marking its twentieth year, IMSA’s Student Inquiry and Research Program (SIR) is a powerful expression of the Academy’s mission, “to ignite and nurture creative ethical minds that advance the human condition.”https://digitalcommons.imsa.edu/archives_sir/1000/thumbnail.jp

    Emotional Experience and Advertising Effectiveness: on the use of EEG in marketing

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    This dissertation extends existing knowledge by elucidating two proposed aims of neuromarketing, using EEG. The first aim concerns offering additional insight into implicit processes (here, emotions). The second aim concerns contributing to predicting behavioral, market level, responses or ‘advertising effectiveness’

    Workplace values in the Japanese public sector: a constraining factor in the drive for continuous improvement

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    Term Association Modelling in Information Retrieval

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    Many traditional Information Retrieval (IR) models assume that query terms are independent of each other. For those models, a document is normally represented as a bag of words/terms and their frequencies. Although traditional retrieval models can achieve reasonably good performance in many applications, the corresponding independence assumption has limitations. There are some recent studies that investigate how to model term associations/dependencies by proximity measures. However, the modeling of term associations theoretically under the probabilistic retrieval framework is still largely unexplored. In this thesis, I propose a new concept named Cross Term, to model term proximity, with the aim of boosting retrieval performance. With Cross Terms, the association of multiple query terms can be modeled in the same way as a simple unigram term. In particular, an occurrence of a query term is assumed to have an impact on its neighboring text. The degree of the query term impact gradually weakens with increasing distance from the place of occurrence. Shape functions are used to characterize such impacts. Based on this assumption, I first propose a bigram CRoss TErm Retrieval (CRTER2) model for probabilistic IR and a Language model based model CRTER2LM. Specifically, a bigram Cross Term occurs when the corresponding query terms appear close to each other, and its impact can be modeled by the intersection of the respective shape functions of the query terms. Second, I propose a generalized n-gram CRoss TErm Retrieval (CRTERn) model recursively for n query terms where n>2. For n-gram Cross Term, I develop several distance metrics with different properties and employ them in the proposed models for ranking. Third, an enhanced context-sensitive proximity model is proposed to boost the CRTER models, where the contextual relevance of term proximity is studied. The models are validated on several large standard data sets, and show improved performance over other state-of-art approaches. I also discusse the practical impact of the proposed models. The approaches in this thesis can also provide helpful benefit for term association modeling in other domains

    Management: A bibliography for NASA managers

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    This bibliography lists 630 reports, articles and other documents introduced into the NASA Scientific and Technical Information System in 1991. Items are selected and grouped according to their usefulness to the manager as manager. Citations are grouped into ten subject categories: human factors and personnel issues; management theory and techniques; industrial management and manufacturing; robotics and expert systems; computers and information management; research and development; economics, costs and markets; logistics and operations management; reliability and quality control; and legality, legislation, and policy
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