Cultural Protectionism 2.0 : Updating Cultural Policy Tools for the Digital Age

This chapter explores cultural protectionism 2.0, i.e. the normative dimensions of cultural diversity policies in the global digital space, asking what adjustments are needed and in fact, how feasible the entire project of diversity regulation in this environment may be. The complexities of the shift from offline to online and from analogue to digital, and the inherent policy challenges are illustrated with some (positive and negative) instances of existing media initiatives. Taking into account the specificities of cyberspace and in a forward-looking manner, the chapter suggests some adjustments to current media policy practices in order to better serve the goal of sustainably diverse cultural environment.

Enquiry into the Notion of Cultural Protectionism in the Media and its Dimensions in Cyberspace

Cultural protectionism has been an element of national and foreign policies, as an extension of state sovereignty expressed both in a defensive and offensive manner. While the generic protectionist formula in the sense of restraining trade between states through measures such as import tariffs or quotas and through privileging domestic production has somewhat disintegrated over time under the rationale for free trade and the strong practical evidence of its benefits, the particular case of cultural protectionism has persevered. As we reveal in this paper, however, it has been modified, or at least its rhetoric has changed. The enquiry into the notion of cultural protectionism or cultural diversity, as the current political jargon would have it, is but one of the paper’s objectives. Its second and certainly more ambitious goal is the search for the normative dimensions of cultural diversity policies in the global digital space, asking what adjustments are needed and how feasible the entire project of diversity regulation in this environment may be. Taking into account the specificities of cyberspace and in a forward-looking manner, we propose some adjustments to current media policy practices that could better serve the goal of a sustainably diverse cultural environment.

Complete digital workflow for the production of implant-supported single-unit monolithic crowns.

OBJECTIVES The aim of this case series was to introduce a complete digital workflow for the production of monolithic implant crowns. MATERIAL AND METHODS Six patients were treated with implant-supported crowns made of resin nano ceramic (RNC). Starting with an intraoral optical scan (IOS), and following a CAD/CAM process, the monolithic crowns were bonded either to a novel prefabricated titanium abutment base (group A) or to a CAD/CAM-generated individualized titanium abutment (group B) in premolar or molar sites on a soft tissue level dental implant. Economic analyses included clinical and laboratory steps. An esthetic evaluation was performed to compare the two abutment-crown combinations. RESULTS None of the digitally constructed RNC crowns required any clinical adaptation. Overall mean work time calculations revealed obvious differences for group A (65.3 min) compared with group B (86.5 min). Esthetic analysis demonstrated a more favorable outcome for the prefabricated bonding bases. CONCLUSIONS Prefabricated or individualized abutments on monolithic RNC crowns using CAD/CAM technology in a model-free workflow seem to provide a feasible and streamlined treatment approach for single-edentulous space rehabilitation in the posterior region. However, RNC as full-contour material has to be considered experimental, and further large-scale clinical investigations with long-term follow-up observation are necessary.

Bufferless Compression of Asynchronously Sampled ECG Signals in Cubic Hermitian Vector Space.

Asynchronous level crossing sampling analog-to-digital converters (ADCs) are known to be more energy efficient and produce fewer samples than their equidistantly sampling counterparts. However, as the required threshold voltage is lowered, the number of samples and, in turn, the data rate and the energy consumed by the overall system increases. In this paper, we present a cubic Hermitian vector-based technique for online compression of asynchronously sampled electrocardiogram signals. The proposed method is computationally efficient data compression. The algorithm has complexity O(n), thus well suited for asynchronous ADCs. Our algorithm requires no data buffering, maintaining the energy advantage of asynchronous ADCs. The proposed method of compression has a compression ratio of up to 90% with achievable percentage root-mean-square difference ratios as a low as 0.97. The algorithm preserves the superior feature-to-feature timing accuracy of asynchronously sampled signals. These advantages are achieved in a computationally efficient manner since algorithm boundary parameters for the signals are extracted a priori.