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Voided space-charge electrets : piezoelectric transducer materials for electro-acoustic applications
(2004)
The power of opposition
(2022)
Proposing a novel way to look at the consolidation of democratic regimes, this book presents important theoretical and empirical contributions to the study of democratic consolidation, legislative organization, and public opinion.
Theoretically, Simone Wegmann brings legislatures into focus as the main body representing both winners and losers of democratic elections. Empirically, Wegmann shows that the degree of policy-making power of opposition players varies considerably between countries. Using survey data from the CSES, the ESS, and the LAPOP and systematically analyzing more than 50 legislatures across the world and the specific rights they grant to opposition players during the policy-making process, Wegmann demonstrates that neglecting the curial role of the legislature in a democratic setting can only lead to an incomplete assessment of the importance of institutions for democratic consolidation.
The Power of Opposition will be of great interest to scholars of comparative politics, especially those working on questions related to legislative organization, democratic consolidation, and/or public opinion.
Despite the high hopes associated with public sector digitalization, especially in times of crisis, it does not yet hold up to its potential. Both the negotiation and implementation of digitalization policy presents a challenge for all levels of government, requiring extensive coordination efforts. In general, there are conflicting views if more centralized or decentralized policy processes are more effective for coordination—a tension further exacerbated in the context of digitalization policy within multilevel systems, where the imperative of standardization collides with decentralization forces inherent in federalism.
Based on the analysis of expert interviews (n = 29), this chapter examines how digitalization policy in the context of the German federal intergovernmental relations context is located and negotiated, and how this relates to local policy implementation. Focusing on the decentralized German tax administration as a case study, the analysis reveals a shift from a conflicted to a multi-layered policy process, underpinned by a mechanism of “concentration without centralization.” Strategic and operational competencies are bundled in an institutionalized and legally regulated network for digitalization to achieve necessary standardization of digital infrastructure. Furthermore, the research emphasizes the influence of intergovernmental relations on local implementation and the associated challenges and opportunities.
This chapter consists of three parts. In the first part, I will give a short overview about the integration of the protection of the environment into German constitutional law. This section will start with the presentation of the relevant provision, Art. 20a BL. Then, I will elaborate on its legal character. In the second part, I will make some brief remarks on the practical implications of Art. 20a BL. Finally, I will present some preliminary conclusions.
In the last decade, there has been an increasing interest in compensating thermally induced errors to improve the manufacturing accuracy of modular tool systems. These modular tool systems are interfaces between spindle and workpiece and consist of several complicatedly formed parts. Their thermal behavior is dominated by nonlinearities, delay and hysteresis effects even in tools with simpler geometry and it is difficult to describe it theoretically. Due to the dominant nonlinear nature of this behavior the so far used linear regression between the temperatures and the displacements is insufficient. Therefore, in this study we test the hypothesis whether we can reliably predict such thermal displacements via nonlinear temperature-displacement regression functions. These functions are estimated firstly from learning measurements using the alternating conditional expectation (ACE) algorithm and then tested on independent data sets. First, we analyze data that were generated by a finite element spindle model. We find that our approach is a powerful tool to describe the relation between temperatures and displacements for simulated data. Next, we analyze the temperature-displacement relationship in a silent real experimental setup, where the tool system is thermally forced. Again, the ACE-algorithm is powerful to estimate the deformation with high precision. The corresponding errors obtained by using the nonlinear regression approach are 10-fold lower in comparison to multiple linear regression analysis. Finally, we investigate the thermal behavior of a modular tool system in a working milling machine and get again promising results. The thermally induced errors can be estimated with 1-2${mu m}$ accuracy using this nonlinear regression analysis. Therefore, this approach seems to be very useful for the development of new modular tool systems.