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The real-time recognition and precise correction of baseline shifts in strong-motion records is a critical issue for GPS and accelerometer combined processing. This paper proposes a method to adaptively recognize and correct baseline shifts in strong-motion records by utilizing GPS measurements using two phases Kalman filter. By defining four kinds of learning statistics and criteria, the time series of estimated baseline shifts can be divided into four time intervals: initialization, static, transient and permanent. During the time interval in which the transient baseline shift is recognized, the dynamic noise of the Kalman filter system and the length of the baseline shifts estimation window are adaptively adjusted to yield a robust integration solution. The validations from an experimental and real datasets show that acceleration baseline shifts can be precisely recognized and corrected, thus, the combined system adaptively adjusted the estimation strategy to get a more robust solution. (C) 2014 COSPAR. Published by Elsevier Ltd. All rights reserved.
Apples and oranges
(2021)
Despite scarce empirical evidence, introducing new vocabulary in semantic categories has long been standard in second language teaching. We examined the effect of learning context on encoding, immediate recall and integration of new vocabulary into semantic memory by contrasting categorically related (novel names for familiar concepts blocked by semantic category) and unrelated (mixed semantic categories) learning contexts. Two learning sessions were conducted 24 hours apart, with each participant exposed to both contexts. Subsequently, a test phase examined picture naming, translation and picture-word interference tasks. Compared to the unrelated context, the categorically related context resulted in poorer naming accuracy in the learning phase, slower response latencies at the immediate recall tasks and greater semantic interference in the picture-word interference task (picture naming in L1 with semantically related novel word distractors). We develop a theoretical account of word learning that attributes observed differences to episodic rather than semantic memory.
Background: The development of bioinformatics databases, algorithms, and tools throughout the last years has lead to a highly distributedworld of bioinformatics services. Without adequatemanagement and development support, in silico researchers are hardly able to exploit the potential of building complex, specialized analysis processes from these services. The Semantic Web aims at thoroughly equipping individual data and services with machine-processable meta-information, while workflow systems support the construction of service compositions. However, even in this combination, in silico researchers currently would have to deal manually with the service interfaces, the adequacy of the semantic annotations, type incompatibilities, and the consistency of service compositions. Results: In this paper, we demonstrate by means of two examples how Semantic Web technology together with an adequate domain modelling frees in silico researchers from dealing with interfaces, types, and inconsistencies. In Bio-jETI, bioinformatics services can be graphically combined to complex services without worrying about details of their interfaces or about type mismatches of the composition. These issues are taken care of at the semantic level by Bio-jETI’s model checking and synthesis features. Whenever possible, they automatically resolve type mismatches in the considered service setting. Otherwise, they graphically indicate impossible/incorrect service combinations. In the latter case, the workflow developermay either modify his service composition using semantically similar services, or ask for help in developing the missing mediator that correctly bridges the detected type gap. Newly developed mediators should then be adequately annotated semantically, and added to the service library for later reuse in similar situations. Conclusion: We show the power of semantic annotations in an adequately modelled and semantically enabled domain setting. Using model checking and synthesis methods, users may orchestrate complex processes from a wealth of heterogeneous services without worrying about interfaces and (type) consistency. The success of this method strongly depends on a careful semantic annotation of the provided services and on its consequent exploitation for analysis, validation, and synthesis. We are convinced that these annotations will become standard, as they will become preconditions for the success and widespread use of (preferred) services in the Semantic Web
Inhalt: Introduction: The problem at hand Approaches to EU’s external identity making Mechanisms of external identity making Theoretical approaches to the EU’s external identity making The EU’s external identity promotion The ENP policy instruments Conclusions References
As expected, the traditions of national-state migration policies continue to play a very important role, path-dependence in this policy field remains high. The distribution of competences in migration policy and the integration of migrants in the nation states continues to be very different. When implementing integration strategies at grassroots level, the respective policies should be tailored to the profile of both the local migrant community and the native population. Besides better migration management in local administration and the interaction of top-down and bottom-up efforts to integrate migrants is of importance.
Deutschland
(2023)
Das Kapitel beginnt mit einem kurzen historischen Überblick über den Übergang Deutschlands im 20. und 21. Jahrhundert von einem Transit- und Auswanderungsland zu einem Einwanderungsland. Der nächste Teil des Kapitels befasst sich mit den Herausforderungen und Problemen der deutschen Einwanderungspolitik in einem föderalen Mehrebenensystem. Abschließend analysiert das Kapitel einige Trends in der deutschen Migrationspolitik seit der Flüchtlingskrise 2015, wie etwa Veränderungen im Parteiensystem und in den Konzepten, die der Migrationspolitik zugrunde liegen, um die Zuwanderung nach Deutschland besser zu steuern, zu kontrollieren und zu begrenzen.
Die Logik der Selektion
(2011)
Viele der mittelost- und südosteuropäischen Länder haben mit der Migration ihrer Staatsbürger nach Westeuropa zu kämpfen und beklagen den brain drain ihrer jungen und gut ausgebildeten Generation. Dieses Buch widmet sich der Migration bulgarischer Staatsbürger nach Deutschland und analysiert die positiven sowie negativen Auswirkungen der Migration auf Bulgarien als Herkunftsland selbst. Es werden die Daten, Personengruppen und Ursachen der Migration unter Berücksichtigung der Push- und Pull-Faktoren beider Länder seit dem EU-Beitritt 2007, insbesondere seit der EU-Arbeitnehmerfreizügigkeit 2014, analysiert. Ferner steht die Frage im Vordergrund, wie der bulgarische Staat und die Zivilgesellschaft mit dem Phänomen der Massenmigration umgehen und was zusätzlich getan werden könnte, um die Migration gezielter zu steuern und so mehr Bulgaren für eine Zukunft in der Heimat zu begeistern.