Titlebook: Racial and Cultural Minorities; An Analysis of Preju George Eaton Simpson,J. Milton Yinger Book 1985Latest edition Springer Science+Busines

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ty groups. Although this edition is an extensive revision, with reference both to the data used and the theoretical approaches examined, we have not shifted from our basically analytical perspective. We strongly support efforts to reduce discrimination and prejudice; but these can be successful only if we try978-0-306-41777-1978-1-4899-0551-2

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d keine genügend kleinen, hinreichend genauen, empfindlichen oder sonstwie gearteten Anzeigemittel für Richtung und Größe des Feldes verfügbar, teils verlaufen die Felder in festen Medien, so daß das Vorhandensein der Materie ein Einbringen von Meßfühlern in das Feld verhindert. Man bedient sich in

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George Eaton Simpson,J. Milton Yingerd keine genügend kleinen, hinreichend genauen, empfindlichen oder sonstwie gearteten Anzeigemittel für Richtung und Größe des Feldes verfügbar, teils verlaufen die Felder in festen Medien, so daß das Vorhandensein der Materie ein Einbringen von Meßfühlern in das Feld verhindert. Man bedient sich in

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Characterizing the Degree of LTE Involvement in Supporting Session Continuity in Street Deployment o engineers. In this context, the support of NR-based vehicle-to-infrastructure communications is of special interest due to potentially high speeds of user equipment and semi-stochastic dynamic blockage conditions of propagation paths between UE and BR base station (BS). In this conditions even the

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Design of Effective Dynamic Visualizations: A Struggle Between the Beauty and the Beast? Commentary h the visualization is to be deployed, and the main objective for which it shall be used need to be considered. Both researchers and professional designers are concerned with identifying ways of designing effective dynamic visualizations while considering these influencing factors. In this commentar

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Hyperthyroidism Progress Prediction with Enhanced LSTM early stage. Long-Short-Term-Memory (LSTM) network is employed to process the sequence information in the tests. We design an adaptive loss function for the LSTM learning. We set bigger weights to the blood test data samples which are nearby the range boundaries when judging the hyperthyroidism. We

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