The Impact of Political Culture on Political Reactions: A Case Study of EU Sanctions on Russia

The political impact of European Union (EU) sanctions on Russia is complicated by the political culture of the Russian state and the economic interdependencies of the EU bloc and the Russian Federation. This study explores the impacts of European Union sanctions on Russian politics, using economic interdependence and the political culture of Russia to help explain both the political effects of the sanctions on Russia and the overall Russian political reaction to the scenario that is unfolding. The foundations of government, political society, and political norms within Russia can be found throughout the different bases of Russian political culture which is narrowed down by the usage of the Cross-Cultural Competency (3Cs) Theorem: Russian Orthodox Christianity, geography, autocracy, and economic development. As a whole, the development of the Russian political state has been heavily impacted by its geographical location. However, upon closer examination, it becomes evident that Russia’s governments have additionally been influenced by the development of the Russian Orthodox Church, economy, and government, all of which form a large part of the Russian political cultural identity. The development of Russian politics could, therefore, along with the economic interdependence of the two blocs, aid in determining the Russian political reaction to sanctions. Using this case study, it will be investigated how political culture can affect the overall political reactions to external pressure, particularly economic sanctions, and suggest ways to possibly improve the effectiveness of economic sanctions

Model-free Adaptive Control in Frequency Domain: Application to Mechanical Ventilation

B

A Novel Parametric Model For The Human Respiratory System

The purpose of this work is to present some recent results in an ongoing research project between Ghent University and Chess Medical Technology Company Belgium. The overall aim of the project is to provide a fast method for identification of the human respiratory system in order to allow for an instantaneously diagnosis of the patient by the medical staff. A novel parametric model of the human respiratory system as well as the obtained experimental results is presented in this paper. A prototype apparatus developed by the company, based on the forced oscillation technique is used to record experimental data from 4 patients in this paper. Signal processing is based on spectral analysis and is followed by the parametric identification of a non-linear mechanistic model. The parametric model is equivalent to the structure of a simple electrical RLC-circuit, containing a non-linear capacitor. These parameters have a useful and easy-to-interpret physical meaning for the medical staff members

Fractional-Order Models for the Input Impedance of the Respiratory System

Non

Towards a cyber-medical system for drug assisting devices

The purpose of this paper is to describe the role of on-integer models in healthcare pathways and how these tools provide a breakthrough in our understanding of drug delivery protocols. Two examples will be given as being typical of such applications: modeling glucose levels in diabetic type I patients and modeling pain transmission in patients suffering from (post operative) chronic pain. A wide range of tools to model these pathways and their role for use in healthcare delivery for optimal treatment and patient well-being are discussed. Individualized patient healthcare is nowadays top priority in European research framework for health and these modeling tools are primary aids in meeting these challenges