942 resultados para Hydroinformatics and Data Innovative Aspects on Teaching
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Mode of access: Internet.
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Vols. for 1945/1946- "including surplus."
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Mode of access: Internet.
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Mode of access: Internet.
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Thesis (Master's)--University of Washington, 2016-06
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Inglehart’s thesis of postmaterial value change is one of the most influential accounts of social and political change in advanced Western nations. This paper uses data from the World Values Survey and the Australian Election Surveys to reexamine the relationship between age and values in 19 advanced industrial nations. We find evidence of a monotonic age structuring of values in a number of countries, but in others, the relationship between age and values is not as Inglehart would predict. In addition, the impact of birth cohort on values differs between countries that are dominated by two major parties and those where there are many smaller parties. The presence of successful Green parties is also important for enhancing the uptake of postmaterialist values. These findings suggest that Inglehart’s arguments about generational value change should be modified to take into account national political institutions and political cultures that might enhance or impede generational-based values change.
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Analyzing geographical patterns by collocating events, objects or their attributes has a long history in surveillance and monitoring, and is particularly applied in environmental contexts, such as ecology or epidemiology. The identification of patterns or structures at some scales can be addressed using spatial statistics, particularly marked point processes methodologies. Classification and regression trees are also related to this goal of finding "patterns" by deducing the hierarchy of influence of variables on a dependent outcome. Such variable selection methods have been applied to spatial data, but, often without explicitly acknowledging the spatial dependence. Many methods routinely used in exploratory point pattern analysis are2nd-order statistics, used in a univariate context, though there is also a wide literature on modelling methods for multivariate point pattern processes. This paper proposes an exploratory approach for multivariate spatial data using higher-order statistics built from co-occurrences of events or marks given by the point processes. A spatial entropy measure, derived from these multinomial distributions of co-occurrences at a given order, constitutes the basis of the proposed exploratory methods. © 2010 Elsevier Ltd.
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A novel architecture for microwave/millimeter-wave signal generation and data modulation using a fiber-grating-based distributed feedback laser has been proposed in this letter. For demonstration, a 155.52-Mb/s data stream on a 16.9-GHz subcarrier has been transmitted and recovered successfully. It has been proved that this technology would be of benefit to future microwave data transmission systems.
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Analyzing geographical patterns by collocating events, objects or their attributes has a long history in surveillance and monitoring, and is particularly applied in environmental contexts, such as ecology or epidemiology. The identification of patterns or structures at some scales can be addressed using spatial statistics, particularly marked point processes methodologies. Classification and regression trees are also related to this goal of finding "patterns" by deducing the hierarchy of influence of variables on a dependent outcome. Such variable selection methods have been applied to spatial data, but, often without explicitly acknowledging the spatial dependence. Many methods routinely used in exploratory point pattern analysis are2nd-order statistics, used in a univariate context, though there is also a wide literature on modelling methods for multivariate point pattern processes. This paper proposes an exploratory approach for multivariate spatial data using higher-order statistics built from co-occurrences of events or marks given by the point processes. A spatial entropy measure, derived from these multinomial distributions of co-occurrences at a given order, constitutes the basis of the proposed exploratory methods. © 2010 Elsevier Ltd.
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A novel architecture for microwave/millimeter-wave signal generation and data modulation using a fiber-grating-based distributed feedback laser has been proposed in this letter. For demonstration, a 155.52-Mb/s data stream on a 16.9-GHz subcarrier has been transmitted and recovered successfully. It has been proved that this technology would be of benefit to future microwave data transmission systems. © 2006 IEEE.
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Sentiment classification over Twitter is usually affected by the noisy nature (abbreviations, irregular forms) of tweets data. A popular procedure to reduce the noise of textual data is to remove stopwords by using pre-compiled stopword lists or more sophisticated methods for dynamic stopword identification. However, the effectiveness of removing stopwords in the context of Twitter sentiment classification has been debated in the last few years. In this paper we investigate whether removing stopwords helps or hampers the effectiveness of Twitter sentiment classification methods. To this end, we apply six different stopword identification methods to Twitter data from six different datasets and observe how removing stopwords affects two well-known supervised sentiment classification methods. We assess the impact of removing stopwords by observing fluctuations on the level of data sparsity, the size of the classifier's feature space and its classification performance. Our results show that using pre-compiled lists of stopwords negatively impacts the performance of Twitter sentiment classification approaches. On the other hand, the dynamic generation of stopword lists, by removing those infrequent terms appearing only once in the corpus, appears to be the optimal method to maintaining a high classification performance while reducing the data sparsity and substantially shrinking the feature space
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A szerző tanulmányában vizsgálja a tudományterületek különbségeinek következményeit az oktatásban, a kutatásban és a felsőoktatási intézmények irányításában. A tanulmány első felében a tudományterületek episztemológiai és közösségi különbségeit tárgyalja Becher és Trowler (2001) népszerű kategorizálása alapján. A tanulmány második felében a tudományszerveződésre, a publikációs gyakorlatra, a doktori képzésre, az oktatás céljára és formáira, a diákok tudásképére, valamint a menedzsmentfelfogásra gyakorolt hatást mutatja be. A konklúzióban egyrészt a minőség- és teljesítményértékelési rendszerek differenciált megközelítésének szükségességére hívja fel a figyelmet, másrészt arra, hogy a Bologna-rendszer és az élethosszig tartó tanulás erősödésének következményeként egy-egy mesterszakon nemcsak a hallgatóság háttere, előismerete lesz sokszínű, hanem a tudásról alkotott képe is. Ez újfajta oktatói szerepeket és oktatási megközelítéseket tesz szükségessé. ________ In the article the consequences of disciplinary difference on teaching, research and institutional management is examined. In the first part of the paper the epistemological and sociological differences of scientific disciplines are summarized based on the popular typology of Becher and Trowler (2001). In the second part the influence of differences on organisation of sciences, publication practices, PhD studies, the goal and form of teaching, students’ conception of knowledge as well as on the understanding on management and leadership are discussed. In the conclusions, attention is drawn on the necessity of differentiation in quality and performance management processes. Another conclusion is that new roles for teachers and approaches for teaching is required if students’ conception of knowledge become more heterogeneous which is the result of result of life long learning and Bologna-reform.